System for estimating wireless performance at manufacturing site and method therefor

The present invention relates to a system for estimating wireless performance in manufacturing sites.

2. Description of the Related Art In recent years, with the development of communication technology and analysis technology, the number of manufacturing sites such as factories that require wireless communication for the progress of processes or that use wireless communication for assistance is increasing. Various types of application programs (hereinafter simply referred to as applications) using wireless communication are under consideration. For example, at a manufacturing site such as a factory, log information such as process progress information and the presence or absence of troubles is collected wirelessly from sensors installed in various places. Another example is the real-time delivery of video of the manufacturing site using a camera, making it possible for production managers and skilled workers to visually check the progress of the process from a remote location or give instructions to the person in charge at the site. and Another example is remotely controlling machines such as robotic arms.

These applications can also perform processing through wired communication. However, it is expected that the number of devices such as sensors will increase in the future, and at manufacturing sites for high-mix low-volume production, additional installation of equipment and movement of installation locations due to process changes may occur frequently. In that case, it is difficult to deal with the wire wiring because the wiring needs to be redone every time the process is changed. Therefore, it is expected that wireless communication will become mainstream in manufacturing sites in the future.

Wireless communication makes it possible to avoid rewiring work associated with a process change (for example, production of a certain product is completed and production of the next product is started). However, when equipment to be installed is added or the position of the equipment is changed due to the process change, the wireless communication performance also changes.

Specifically, when a device is placed between a transmitter and a receiver, the radio waves used in wireless communication are attenuated by shielding. is reflected and scattered. Therefore, the addition, removal, or positional change of equipment changes the radio wave conditions in the manufacturing site, and the radio performance also changes.

Various propagation simulation techniques for estimating wireless performance not only at manufacturing sites but also at offices (factories, offices, etc.) using wireless communication have already been developed and commercialized. In addition, Patent Document 1 discloses a method in which a mining plan and a network plan in a mine are combined.

<p><patcit num="1"><text>Japanese Patent Publication No. 2019-509685</text></patcit></p>

<p>When a process change occurs at a manufacturing site, the radio wave conditions within the manufacturing site change due to the installation, removal, or position change of the equipment, which causes a change in wireless performance. At this time, even if various applications are operating by wireless communication without problems in the current process, the applications may not operate as expected by wireless communication in the next process due to changes in wireless performance. As a result, even though the next process has started, the application required for that process may not run, causing the process to stop and the operating rate of the production site to drop.</p><p>In order to avoid this, it is useful to estimate radio performance in some way in line with future plans. Various propagation simulators for estimating radio performance are already known. Radio wave propagation simulation is a technique for estimating radio performance, but the following problems still remain at manufacturing sites. For example, there are many small manufacturing sites and not necessarily each site has a skilled radio engineer who can use propagation simulation. Field personnel who do not have radio knowledge may not be familiar with propagation simulation, may not be able to make correct radio performance estimates, or may take a long time to set up a propagation simulation.</p><p>The present invention has been devised in consideration of the above-mentioned problems, and is intended to assist a site manager or person in charge who does not have sufficient wireless knowledge in a manufacturing site to estimate wireless performance in each production process.</p>

<p>One aspect of the present invention is a system for estimating wireless performance at a manufacturing site, comprising: one or more storage devices; and one or more computing devices; Process information including information on one or more previous processes, one or more wireless performance estimation schemes usable for each of a plurality of applications, and information for determining the processing time for each of the one or more wireless performance estimation schemes and management information for managing , wherein the process information includes information on one or more applications used in each of the one or more processes, time information associated with each process, and wherein the one or more computing devices refer to the process information and the management information, determine one or more wireless performance estimation methods that can be used in each process, and refer to the process information and the management information. Then, a wireless communication scheme that completes the wireless performance estimation process by the time associated with each step is selected from the one or more wireless performance estimation schemes that can be used in each step.</p>

<p>According to one aspect of the present invention, site managers and personnel can be assisted in making wireless performance estimates for each production run.</p><p>Problems, configurations, and effects other than those described above will be clarified by the following description of the embodiments.</p>

<figref num="1">1 is a conceptual diagram of a manufacturing site assumed in the first embodiment; FIG.</figref><figref num="2A">2 is a layout diagram of a manufacturing site in process A. FIG.</figref><figref num="2B">2 is a layout diagram of a manufacturing site in process B. FIG.</figref><figref num="2C">2 is a layout diagram of a manufacturing site in process C. FIG.</figref><figref num="3">1 is a functional block diagram of a wireless performance estimation system; FIG.</figref><figref num="4">It is a figure which shows a process plan.</figref><figref num="5A">FIG. 4 is a diagram showing information for wireless performance calculation;</figref><figref num="5B">It is a figure of a performance estimation method table.</figref><figref num="5C">FIG. 4 is a diagram of a propagation simulation time table;</figref><figref num="5D">FIG. 10 is a diagram of an extraction condition table;</figref><figref num="5E">It is a figure of a material table.</figref><figref num="6">4 is a flow chart illustrating the life cycle of the overall operation of one embodiment of the present specification;</figref><figref num="7">FIG. 4 shows a flow chart of steps for performing radio performance calculations.</figref><figref num="8A">FIG. 8 is a diagram of intermediate results in the flow chart of FIG. 7 of the radio performance calculator;</figref><figref num="8B">FIG. 8 is a diagram of intermediate results in the flow chart of FIG. 7 of the radio performance calculator;</figref><figref num="9A">FIG. 4 is a diagram of the process and schedule of radio performance estimation output by the radio performance estimation system;</figref><figref num="9B">FIG. 4 is a diagram of wireless performance estimation results output by the wireless performance estimation system;</figref><figref num="9C">FIG. 4 is a diagram of a heat map output by the wireless performance estimation system;</figref><figref num="10">FIG. 10 is a diagram of an extraction condition table in the second embodiment; FIG.</figref><figref num="11">FIG. 10 is a diagram of an extraction condition table in the third embodiment;</figref><figref num="12A">FIG. 10 is a diagram of information for wireless performance calculation in the fourth embodiment;</figref><figref num="12B">FIG. 10 is a diagram of an application availability determination table in the fourth embodiment;</figref>

Several embodiments of the present invention will be described below with reference to the drawings. For convenience, the following embodiments are divided into a plurality of sections or embodiments when necessary, but unless otherwise specified, they are not unrelated to each other, and one Some or all of them are related to modifications, details, supplementary explanations, and the like. Each embodiment may be implemented individually, or may be implemented in combination.

In addition, in the following embodiments, when referring to the number of elements (including the number, numerical value, amount, range, etc.), unless otherwise specified or clearly limited to a specific number in principle , is not limited to the specific number, and may be greater than or less than the specific number.

Furthermore, in the following embodiments, it goes without saying that the constituent elements (including element steps and the like) are not necessarily essential unless otherwise specified or clearly considered essential in principle. stomach.

Similarly, in the following embodiments, when referring to the shape, positional relationship, etc., of components, etc., unless otherwise specified or in principle clearly considered otherwise, the shape, etc. shall include those that are similar or similar to This also applies to numerical values and ranges.

Also, in the following description, the expression "xxx table" may be used, but the information may be data of any structure. Also, in the following description, the configuration of each table is an example, and one table may be divided into two or more tables, or all or part of two or more tables may be one table. good. In addition, in the following description, the function may be described using the expression "xxx part", but the function may be realized by executing one or more computer programs.

In the following, a wireless performance estimation system at the manufacturing site is described. The wireless performance estimation system facilitates advance wireless performance estimation at manufacturing sites using application programs using wireless communication in the production process of products, parts, and the like.

There are many small manufacturing sites and not necessarily each site has a skilled radio engineer who can use propagation simulation. Field personnel who do not have radio knowledge may not be familiar with propagation simulation, may not be able to make correct radio performance estimates, or may take a long time to set up a propagation simulation. Also, propagation simulations can take a long time, and as a result, results may not be available by the time they are needed.

A radio performance estimation system according to an embodiment of the present specification adjusts the estimation accuracy of radio performance estimation according to process plans and application information. As a result, the wireless performance estimation time can be used interchangeably between processes. As a result, a radio estimation method can be selected according to the process. Further, in one embodiment of the present specification, the wireless performance estimation system can reduce the frequency of situations where wireless performance estimation is not completed before the process starts.

In the wireless performance estimation system according to one embodiment of the present specification, the information input by the user is only the information on the installed equipment and the information on the process plan, and knowledge of wireless is unnecessary. This eliminates the need to deploy radio technicians at every production site. As a result, prior verification before the start of the process and modification of wireless settings as necessary become possible, and the operating rate of the site can be improved.

&lt;First Embodiment&gt; In this embodiment, an example of estimating wireless performance for three production processes before starting at one manufacturing site will be described. This manufacturing site is a manufacturing site for high-mix low-volume production, and production work is performed as separate processes for each product (product, part).

It is assumed that different processes require installations such as different devices and instruments around the production line. These are referred to herein as installations. An installation may be a worker working in a fixed position by the line. Also, in order to carry out or support product production in each process, an application program that uses wireless communication will be used. In the following, the application program is simply called an application.

Different applications may be used for different processes. A process may use only one application, while other processes may use multiple applications. Examples of applications to be used are considered to vary depending on the manufacturing site, but the following three types of applications are assumed in this embodiment.

The first is a log collection application. The log collection application collects log files, such as the operating status of each device and the production progress status, from sensors and the like. An example of a log file is a text file.

The second is an application that captures the situation at the manufacturing site with a video streaming camera and displays it on a remote monitor in real time. The third is an application that remotely operates manufacturing equipment such as robot arms installed at the manufacturing site by remote control.

FIG. 1 is a conceptual diagram of a manufacturing site assuming the above configuration. In the manufacturing site 1, there is a production line 10 in which production work is performed, and devices for realizing the aforementioned applications are arranged around it. Specifically, a sensor 12 that is a terminal for collecting logs, a camera 13 for real-time video streaming, and a remotely controlled robot arm 14 are installed.

These devices 12, 13, and 14 also function as wireless communication terminals, perform wireless communication with a base station 11 for wireless communication, and communicate with a remote server 15 installed in the control room 3 via the network 2. exchange data; Devices that perform these wireless communications are wireless communication devices. A management system is installed in the management room 3 , and the management system includes a server 15 and a wireless performance estimation system 100 .

For example, logs collected by sensor 12 are accumulated in storage within remote server 15 . The video captured by the camera 13 is displayed on the monitor of the remote server 15 in real time. The robot arm 14 works on the production line 10 according to instructions from the remote server 15 . Note that a plurality of these production lines 10, devices 12, 13 and 14 and base stations 11 may be provided. The control room 3 may be located within the same site as the manufacturing site (for example, the same factory) or within a different site, and the necessary functions may be implemented on the cloud.

Figures 2A, 2B and 2C respectively show the layout of the equipment at the manufacturing site 1 at the three stages before the start. It is assumed that three processes, process A, process B, and process C, are executed at this manufacturing site 1 in this order.

FIG. 2A shows a layout of equipment at manufacturing site 1 in process A. FIG. Process A does not utilize log collection and remote control applications. No sensors or robotic arms are placed, only the camera 13 communicates wirelessly with the base station 11 . Installation objects 19A1 to 19A5, which are devices and parts that do not perform wireless communication and are necessary for the process A, are also installed in the manufacturing site 1A.

FIG. 2B shows a layout of the equipment at manufacturing site 1 in process B. As shown in FIG. Process B does not utilize real-time video streaming and remote control applications. Cameras and robotic arms are not arranged, and only the sensor 12 communicates wirelessly with the base station 11 . Installation objects 19B1 to 19B3, which are devices and parts that do not perform wireless communication and are necessary for the process B, are also installed in the manufacturing site 1B.

FIG. 2C shows a layout of the equipment at manufacturing site 1 in process C. As shown in FIG. Process C uses all three applications: log collection, real-time video streaming and remote control applications. Sensor 12 , camera 13 , and robot arm 14 are all in wireless communication with base station 11 . Installation objects 19C1 to 19C5, which are devices and parts that do not perform wireless communication and are necessary for the process C, are also installed in the manufacturing site 1C.

For manufacturing site 1, wireless performance estimation system 100 estimates wireless performance in advance before starting each process. By estimating the wireless performance in advance, it is possible to take measures such as changing the wireless settings, changing the arrangement of installed objects, or changing the schedule of the process before the process starts. This makes it possible to avoid situations where the wireless performance after starting the process is worse than expected and the aforementioned application does not work as desired. As a result, the operating rate of the entire manufacturing site can be improved.

FIG. 3 is a block diagram schematically showing a configuration example of the wireless performance estimation system 100. As shown in FIG. The wireless performance estimation system 100 includes an arithmetic device 101 having arithmetic performance, and a main storage device 102 that provides a storage area for storing programs to be executed by the arithmetic device 101 and data to be processed. Arithmetic device 101 is, for example, a CPU including one or more cores, and main memory device 102 is, for example, RAM including a volatile storage area.

The wireless performance estimation system 100 further provides a communication interface 106 for data communication with other computer devices including the remote server 15 and an external storage device, and a non-volatile storage area using a HDD (Hard Disk Drive), flash memory, or the like. Auxiliary storage device 103 and . Also, the wireless performance estimation system 100 includes an input device 104 that receives operations from a user, and an output device 105 that presents output results in each process to the user. Input device 104 includes, for example, a keyboard and mouse, and output device 105 includes, for example, monitor and printer. These components of wireless performance estimation system 100 can communicate via internal bus 107 .

In FIG. 3, main memory device 102 stores programs such as radio performance calculator 121 and propagation simulator 122 . Programs to be executed by the arithmetic device 101 and data to be processed are loaded from the auxiliary storage device 103 to the main storage device 102, for example. The auxiliary storage device 103 stores a process information database (DB) 131 and a wireless performance calculation information database 132 .

The wireless performance estimation system 100 may be a physical computer system (one or more physical computers), or a system built on a computing resource group (a plurality of computing resources) such as a cloud platform. Wireless performance estimation system 100 may be a mobile device such as a smart phone or a tablet. A computer system or a group of computing resources includes one or more interface devices, one or more storage devices (including, for example, main storage devices and auxiliary storage devices), and one or more arithmetic devices.

When a function is realized by executing a program by an arithmetic device, the defined processing is performed while appropriately using a storage device and/or an interface device, etc., so the function is at least a part of the arithmetic device. may The processing described with function as the subject may be processing performed by a system having an arithmetic device or its processor.

Programs may be installed from program sources. The program source may be, for example, a program distribution computer or a computer-readable storage medium (eg, a computer-readable non-transitory storage medium). The description of each function is an example, and multiple functions may be combined into one function, or one function may be divided into multiple functions.

An overview of the software components shown in FIG. 3 is provided below. The process information database 131 holds process plan information received via the communication interface 106 or the input device 104 . Details of the process information will be described later. The wireless performance calculation unit 121 calculates the wireless performance in each process based on the process information held by the process information database 131, using the propagation simulator 122 and the wireless performance calculation information in the wireless performance calculation information database 132. calculate.

Propagation simulator 122 can use any existing technology, such as the ray tracing method. Propagation simulator 122 performs a propagation simulation of radio waves in manufacturing site 1 in each process according to instructions from radio performance calculation unit 121, and calculates radio performance. The radio performance calculation information database 132 is management information that holds radio performance calculation information such as radio-related parameters used by the propagation simulator 122 . Details of the wireless performance calculation information will be described later.

FIG. 4 is a diagram showing an example of the process plan 200 held in the process information database 131. As shown in FIG. The process plan 200, as shown in FIG. 4, can hold information about each pre-start process to be executed in the future in the form of a table. The production process column 201 shows information common to all processes and information specific to each specific process. FIG. 4 shows, as an example, information 211A regarding process A, information 211B regarding process B, and information 211C regarding process C described above. Information 210 common to all processes is also shown.

The information about each process consists of the production plan information for that process and the application information required for that process. The production plan information includes a product column 202, an installation item column 203, a position column 204, a size column 205, a material column 206, a start time column 207 and an end time column 208. The application information includes a required application column 209. FIG.

The product column 202 shows the product produced by the process. The installation item column 203 indicates the name (kind) of each installation item (individual) such as equipment and parts required in the process. The installation column 203 further indicates terminals that perform wireless communication. For example, in process A, the camera is the wireless terminal, in process B the sensor is the wireless terminal, and in process C the camera, the center and the robot arm are the wireless terminals. Wireless terminals and base stations are wireless devices.

A position column 204 indicates the position of the installation object. A size column 205 indicates the size of the installation object. A material column 206 indicates the material of the installation object. The start time column 207 indicates the scheduled start time of the process. The end time column 208 indicates the scheduled end time of the process.

Information on each process also includes information on the position, size, and material of the sensor 12, camera 13, robot arm 14, etc. required for the aforementioned application. For example, in process A, in addition to the base station, there are seven installations including a camera, part A1, part A2, part A3, device A4, and device A5.

The common information 210 shows only the installation object information, that is, the installation object column 203, the position column 204, the size column 205, and the material column 206. The installed objects indicated by the common information 210 are used in all processes. In the example of FIG. 4, the common information 210 includes the location, size, and material of the base station 11 .

The required application column 209 holds a list of applications that perform wireless communication required in each step. In the example of FIG. 4, for step A a video application is shown. For step B, a log collection application is shown. Three applications are shown for process C: log collection, video and remote control.

It should be noted that the examples shown in the process information throughout this specification are examples for carrying out the embodiments, and do not necessarily match the processes at the actual manufacturing site. Only some of the information shown in process plan 200 may be included, and other information may be included. For example, information on the size and material of the installed object and information on the end time may be omitted.

FIG. 5A shows an example of wireless performance calculation information 500 held in the wireless performance calculation information database 132. FIG. The wireless performance calculation information 500 includes multiple types of data. Specifically, the wireless performance calculation information 500 includes a performance estimation method table 510, a propagation simulation time table 520, an extraction condition table 530, a material table 540, and a past performance evaluation database 550.

FIG. 5B shows a configuration example of the performance estimation scheme table 510. As shown in FIG. Performance estimation scheme table 510 indicates which performance estimation scheme is applicable for each application. Performance estimation method table 510 includes application column 511 and performance estimation method column 512 . In this example, simulation using propagation simulator 122 and database reference that quotes past evaluation results in the same process are registered as methods for wireless performance calculation section 121 to calculate wireless performance.

In this example, database references are available if the same process has been performed in the past. The same process is a process of manufacturing the same product. Database citations can be used between processes where the product column 202 in the process plan 200 indicates the same product. Note that when similar product classification information is prepared and past analysis results for the same product do not exist, analysis results for similar products may be used.

In this example, multiple types of simulations are registered. One is high precision simulation and the other is simple simulation. High-precision simulation enables propagation simulation with higher precision than simple simulation, and requires more calculation processing. In other words, the processing time required by the computer system for high-precision simulation is longer than the required processing time for simple simulation by the same computer system.

In one embodiment herein, the high-precision simulation takes all installations described in the process plan 200 and performs a propagation simulation; A propagation simulation is performed by importing some installations extracted from the . Although the accuracy of the simple simulation is low, the calculation time can be shortened. By preparing simulation methods with different accuracies based on the number of installed objects, it is possible to more appropriately achieve both processing time and simulation performance according to process conditions.

Note that three or more simulation methods may be set and registered. Also, simulation methods with different accuracies using different algorithms may be prepared instead of the number of installed objects referred to in the simulation.

In the example of FIG. 5B, database reference, simple simulation, and high-precision simulation are all set and registered for the log collection application. The amount of log collection data is small, and there are no strict delay requirements for the network. Therefore, highly accurate radio performance estimation is considered unnecessary, and any method can be used.

Simple simulation and high-precision simulation are set and registered for moving images. It is considered that there is a problem with the accuracy of database citations, and either a simple simulation or a high-precision simulation is required. Only high-precision simulations are assigned to remote control. For remote control, delay requirements are extremely strict and accurate wireless performance estimation is considered necessary, and high-precision simulation is essential. These radio performance estimation methods will be described later.

FIG. 5C shows a configuration example of the propagation simulation time table 520. As shown in FIG. The propagation simulation time table 520 is information for determining the processing time for each radio performance estimation method. The propagation simulation time table 520 shows the correspondence between the number of installed objects to be captured and the calculation time when performing the above-described propagation simulation.

The propagation simulation time table 520 includes an installation number column 521 and a propagation simulation time column 522 . The values in propagation simulation time table 520 may be determined empirically by the radio engineer. The system may create a propagation simulation time table 520 based on past performance. Here, it is assumed that it is made by a radio engineer. By defining the estimated required time in relation to the number of installed objects, it becomes possible to estimate the processing time more accurately.

Note that the time required for the database citation method may be a preset constant. In one example, the database referencing method takes less time than either propagation simulation. In a configuration in which propagation simulators of algorithms with different processing accuracy and processing time are prepared, information about the processing time is prepared for each, and the information may be irrelevant to the number of installed objects.

FIG. 5D shows a configuration example of the extraction condition table 530. As shown in FIG. The extraction condition table 530 shows the conditions used for determining which installed objects to extract when extracting the installed objects to be taken into the simulation in the above-described simple simulation. It is desirable to extract those that have a large impact on wireless performance. The extraction condition table 530 includes a shielding column 531 , a parameter column 532 , and a calculation exclusion permission/prohibition condition column 533 .

The shielding column 531 specifies the condition of whether or not the object to be installed is located at a position that shields radio waves between the base station 11 and wireless terminals (equipment for wireless communication such as the sensor 12, the camera 13, and the robot arm 14). show. For example, when the virtual line connecting the positions of the wireless terminal and the base station 11 indicated by the process plan 200 passes through an installation, it is determined that the installation blocks radio waves between the base station 11 and the wireless terminal.

The parameter column 532 indicates parameters including conditions for calculation exclusion determination. In the example of FIG. 5D, the size of the installation and the distance between the installation and the base station or wireless terminal are set as conditional parameters. The calculation exclusion permission/prohibition condition column 533 indicates conditions under which exclusion from the simulation is denied, that is, conditions extracted for the simulation.

In the example extraction rule shown in FIG. 5D, a target installation is extracted for simulation if the following conditions are met for occlusion, size and distance. The target installation object is not located at a position that shields radio waves between the base station and the wireless terminal ("None" in shielding column 531).

Furthermore, the size of the target installation object is equal to or greater than the threshold ThrSize. The size may be, for example, the total length and width, or the maximum value among them. In addition, the distance between the target installation object and the base station or wireless terminal is equal to or less than the threshold ThrDist. The distance may be, for example, the minimum distance from the base station and wireless terminal to the target installation. The distance condition may be whether or not the target grounding object exists within an ellipse whose focus is the coordinates of the base station and the wireless terminal.

If the target installation is in a position that blocks radio waves between the base station and the wireless terminal, the target installation is extracted for simulation regardless of other conditions.

The extraction condition table does not have to include all the above conditions. For example, the size condition may be omitted, and only the condition based on the position of the installed object may be defined, and the distance condition may be omitted. Conditions other than distance and size conditions , such as material conditions, may be added. If the process plan does not include information on the size of the installation, the shielding and distance conditions may be determined from only the positional information.

FIG. 5E shows a configuration example of the material table 540. As shown in FIG. The material table 540 shows information on the reflectance and dielectric constant of installed objects used in the propagation simulation. This information is known information and is set and registered in advance.

Past performance evaluation database 550 accumulates estimation results for processes in which wireless performance estimation has already been performed by some method. The radio engineer may register the result calculated by another system in the past performance evaluation database 550, or the result output by the radio performance calculation unit 121 may be registered as it is. The format of past performance evaluation database 550 may be the same as the output of wireless performance calculation section 121 .

FIG. 6 is a flow chart showing the overall operation cycle of one embodiment of the present specification. Once the management system is installed, a maintenance cycle (602 to 609) is periodically initiated by radio engineers thereafter. In the maintenance, addition and correction of various tables of the information for wireless performance calculation 500 described above are executed (603). Radio technician maintenance is longer than the field operational cycle (604-608), eg, on the order of months.

Thereafter, the field operations cycle (604-608) begins. The on-site manager adds or corrects the process plan 200 according to the production plan, work procedure manual, etc. (605). The radio performance calculation unit 121 performs radio performance estimation based on the radio performance calculation information 500 and the process plan 200 (606). The remote server 15 operates the process using the estimation results (607). The field operational cycle (604 to 608) is relatively short, for example on the order of one day.

FIG. 7 shows an internal flow chart of step 606 in which the radio performance calculation unit 121 performs radio performance estimation following step 605 of addition/modification of the process plan 200 shown in FIG. Hereinafter, this flowchart will be described with reference to the example of the process plan 200 shown in FIG.

After step 605 of addition/modification of the process plan 200, the wireless performance calculation unit 121 executes the following process for all or some of the processes registered in the process plan 200 that are scheduled to start immediately.

First, wireless performance calculation section 121 executes a cycle indicated by steps 701 to 708 for each step. Specifically, based on the performance estimation method table 510, the wireless performance calculation unit 121 selects candidates for the wireless performance estimation method applicable to the process (702). If multiple applications are run in the process, a radio performance estimation scheme common to all applications can be selected as a candidate.

If high-precision simulation is included in the candidates (703: YES), radio performance calculation section 121 performs high-precision simulation based on the number of installed objects described in process plan 200 and propagation simulation time table 520. Determine the time (704).

If the candidates for the applicable wireless performance estimation method include simple simulation (705: YES), wireless performance calculation section 121 extracts installation objects necessary for simple simulation based on extraction condition table 530 (706). The radio performance calculation unit 121 determines the simulation time of the simple simulation from the extracted number of installed objects and the propagation simulation time table 520 (707).

The first intermediate result table 350 of FIG. 8A shows the intermediate results of applying the steps so far to each process described in the process plan 200. FIG. Specifically, the first intermediate result table 350 includes a process column 351 and a wireless performance estimation scheme column 352. FIG. The process column 351 indicates each process to be estimated. The wireless performance estimation method column 352 indicates wireless performance estimation method candidates for each step. In the wireless performance estimation method column 352, the numbers in parentheses represent the time required for each simulation. In this example, the required time is represented by a value rounded up in units of one hour. The required simulation time is obtained from the propagation simulation time table 520 as a result of steps 703-707.

For example, since a video application is used in process A, simple simulation and high-precision simulation are selected as performance estimation method candidates based on the performance estimation method table 510, and database citation is not applicable. A simple simulation of process A takes 4 hours, and a high-precision simulation takes 7 hours.

On the other hand, since Process B uses only log collection applications, database citation is also applicable. The database citation takes 1 hour. As shown in process plan 200, process B has fewer installations than process A. Therefore, the time required for process B is shorter even for the same high-precision simulation. Process C requires a remote control application, so database referencing and simple simulation are not applicable. High-precision simulation is always applied.

Next, radio performance calculation section 121 verifies whether all combinations of performance estimation methods that can be used in each process are completed by the start time of the corresponding process. , determine the performance estimation scheme to apply to each step (709). As mentioned above, there are two, three, and one candidate radio performance estimation schemes for steps A, B, and C, respectively. The total number of combinations is 6. Radio performance calculation section 121 calculates by when the radio performance estimation for process A, process B, and process C will be completed for each combination.

In one embodiment of the present specification, the estimation process of each step by the radio performance calculator 121 is performed sequentially. For example, the wireless performance calculation unit 121 determines the estimation process completion time for each process on the assumption that the estimation process is executed sequentially from the process with the earliest start time. In other embodiments herein, multiple steps of wireless performance estimation processing may be performed concurrently by different computers or computing cores. The wireless performance calculation unit 121 can refer to information on the number of estimation processes that can be executed simultaneously and the time required for each estimation process to determine the estimation process completion time of each step.

As an example of the operation of executing a plurality of processes at the same time, in the process of "obtaining the second intermediate result table 360 by performing the process of step 709 on the first intermediate result table 350" described later, process A and process B are performed on the same computer. A second intermediate result table 360 is additionally obtained when only step C is processed at the same time by another computer. Furthermore, a second intermediate result table is obtained for other combinations, such as when only process A is processed by one computer and process B and process C are sequentially processed by another computer, and the final wireless performance estimation method is determined. It is conceivable to act to increase the number of choices in the event. In the following, it is assumed that steps are sequentially selected and wireless performance estimation processing is sequentially executed.

The second intermediate result table 360 in FIG. 8B shows the results obtained by performing the process of step 709 on the first intermediate result table 350. FIG. Here, it is assumed that the radio performance estimation processing is started at 6:00, and based on the time required for each radio performance estimation method in each step of the first intermediate result table 350, each step is calculated for each combination of radio performance estimation methods. indicates when the radio performance calculation of is finished.

Specifically, the second intermediate result table 360 includes a radio performance estimation method column 361 and a radio performance estimation completion time column 362 . The radio performance estimation method column 361 indicates a combination of radio performance estimation methods for each process. The wireless performance estimation completion time column 362 indicates the estimated time at which the wireless performance estimation processing of each step will be completed in each combination of wireless performance estimation methods.

Of these records, only record 365 is for which wireless performance estimation is completed by the start time of processes A, B, and C shown in process plan 200 . The record 365 applies simple simulation (denoted as "simple" in the figure) to process A, database reference ("DB") to process B, and high precision simulation ("high precision") to process C. Radio performance calculation section 121 determines the combination indicated by record 365 as the combination of radio performance estimation schemes to be actually applied.

When there are two or more records (combinations of estimation methods) that will be completed by the start time, one of the combinations is selected based on preset criteria. For example, there are the following three criteria.

(1) Select the combination with the shortest total calculation time required for wireless performance estimation (2) Select the combination with the longest total calculation time required for wireless performance estimation (As a result, the estimation method with the highest (3) Random selection

In one embodiment of this specification, the radio performance calculator 121 selects one combination of radio performance estimation schemes according to criterion (2). That is, the combination with the longest total calculation time required for wireless performance estimation is selected. As a result, it is possible to select a combination of estimation methods with the highest accuracy within the allowable time.

Note that if there is no combination that will be completed by the start time, the wireless performance calculation unit 121 may shorten the simple simulation time by omitting some installation objects from the installation objects extracted in the simple simulation. . For example, it is possible to delete installed objects extracted according to specific conditions, or to change the extraction conditions to stricter ones.

Wireless performance calculation section 121 may output the determined wireless estimation scheme to the screen of output device 105 before proceeding to the process after step 709 in FIG. In the example above, record 365 of FIG. 8 was selected. Wireless performance calculation section 121 may output timeline (schedule) 370 shown in FIG. 9 to a monitor, for example.

FIG. 9A shows Step A, Step B, and Step C, which are the targets of the radio performance estimation process, and a schedule 370 of the radio performance estimation process therefor. The wireless performance estimation process for process A is scheduled to start at 6:00 and end at 10:00. The estimation method is simple simulation. Process A is scheduled to start at 10:00.

The radio performance estimation process for process B is scheduled to start at 10:00 and end at 11:00. The estimation method is the database citation method. Process B is scheduled to start at 14:00. The radio performance estimation process for process C is scheduled to start at 11:00 and end at 18:00. The estimation method is high-precision simulation. Process C is scheduled to start at 19:00. The user can refer to the displayed schedule 370 to confirm that the wireless performance estimation processing required for each process is expected to be completed by the corresponding process start time.

Returning to FIG. 7, next, wireless performance calculation section 121 sequentially executes the cycle of steps 710 to 713 for each process. Specifically, wireless performance calculation section 121 performs performance estimation for the corresponding step using the performance estimation method determined in step 709 (711). When simple simulation or high-precision simulation is applied as the radio performance estimation method, radio performance calculator 121 uses propagation simulator 122 . The propagation simulation may use the permittivity and reflectance described in the material table 504 in the wireless performance calculation information 500 as necessary.

On the other hand, when database quotation is used as the radio performance estimation method, radio performance calculation section 121 references the estimation result of the same process from past performance evaluation database 550 in radio performance calculation information 500 . Upon completion of one process of wireless performance estimation, wireless performance calculation unit 121 outputs the result (712).

FIG. 9B shows an example of the radio performance estimation results for the process of interest presented to the user. The radio performance estimation result 380 is in tabular form and includes a process column 381 , a genderless performance method column 382 and a radio performance estimation result column 383 . The process column 381 indicates the process to be estimated. Asexual performance method column 382 indicates the method used to estimate the radio performance. The wireless performance estimation result column 383 indicates the wireless performance estimation result. In the example of FIG. 9B, the wireless performance estimation result column 383 indicates a link to an attached file indicating the estimation result or a file indicating the estimation result.

The radio performance estimation result column 383 is the same as the conventional propagation simulation output result. For example, the wireless performance estimation result is represented by a heat map showing the received power intensity at the manufacturing site 1. FIG. The heatmap can be attached as a CSV file, image file, or provided with a link to this file.

9C shows an example of a heat map of wireless performance calculation results in process A at manufacturing site 1. FIG. A heat map 390 displays a pattern indicating the radio field strength together with the installed objects at the manufacturing site 1 . The darker the pattern (closer to black), the stronger the received radio wave intensity, and the lighter the pattern (closer to white), the weaker the received radio wave intensity. Note that the display mode of the heat map is arbitrary, and is not limited to the example of FIG. 9C.

Furthermore, radio performance calculation section 121 adds this estimation result to past performance evaluation database 550 in radio performance calculation information 500, and utilizes it for future calculation time reduction. When the simple simulation is used as the wireless performance estimation method, the wireless performance calculation unit 121 optionally outputs information such as which installed object was extracted and the propagation simulation was performed to the output device 105, or It may be stored in the performance calculation information 500 .

In this embodiment, it is possible to estimate the wireless performance in advance according to the future process plan to be carried out at the manufacturing site, and if wireless performance is insufficient, it is possible to take advance measures such as changing the wireless settings and revising the schedule. becomes. In addition, the items to be input by the site manager for this system are the contents described in the production plan and the work procedure manual, and specialized knowledge of radio is not necessarily required.

In addition, if the propagation simulation for wireless performance calculation takes a long time and the wireless performance estimation cannot be completed before the start of the process, a simple simulation that extracts a part of the installed object or a past performance database can be used according to the characteristics of the application of the process. By quoting, the time required for wireless performance estimation is reduced. Thereby, the performance estimation can be completed by the process start time. In the above example, wireless communication performance is estimated for a plurality of steps, but it is also possible to estimate wireless communication performance for only one step. This point is the same in other embodiments.

&lt;Second Embodiment&gt; In the second embodiment, when performing a simple simulation in which a part of the installed object is extracted as described in the first embodiment, the criteria for determining whether or not to extract the installed object are: Set for each application. The operation of this embodiment conforms to that of the first embodiment, and mainly the differences will be described below.

In the first embodiment, an extraction condition table 530 showing conditions common to all applications is used. On the other hand, the extraction condition table of the present embodiment indicates conditions set and registered for each application. FIG. 10 shows a configuration example of the extraction condition table 810 of the second embodiment.

The extraction condition table 810 includes an application column 811 , a shielding column 812 , a parameter column 813 , and a calculation exclusion enable/disable condition column 814 . The application column 811 indicates the identifier of the type of application to which the extraction condition is applied. The shielding column 812, the parameter column 813, and the calculation exclusion permission/rejection condition column 814 are the same as the shielding column 531, the parameter column 532, and the calculation exclusion permission/rejection condition column 533 of the extraction condition table shown in FIG. 5D.

Wireless performance calculation unit 121 uses the extraction condition corresponding to the application from extraction condition table 810 to determine installation objects to be extracted in the simple simulation. For example, for an application that requires high wireless performance estimation accuracy, conditions are set for extracting a larger number of installed objects. For example, the number of extracts can be increased by decreasing the size threshold of the installation and/or increasing the distance threshold. Estimation accuracy improves at the cost of increased propagation simulation time due to increased extraction.

According to the second embodiment, it is possible to change the simple simulation accuracy according to the type of application, and to adjust the radio propagation performance estimation accuracy and the calculation time.

&lt;Third Embodiment&gt; In the third embodiment, when performing a simple simulation in which a part of the installed object is extracted as described in the first embodiment, the determination criteria for whether or not to extract the installed object Set for each communication method (wireless system) (for example, Wi-Fi5, Wi-Fi6, Private-LTE, local5G of millimeter wave). The operation of this embodiment conforms to that of the first embodiment, and mainly the differences will be described below.

In the first embodiment, an extraction condition table 530 showing conditions common to all applications is used. On the other hand, the extraction condition table of the present embodiment indicates conditions set and registered for each wireless system, for example. FIG. 11 shows a configuration example of the extraction condition table 820 of the third embodiment.

The extraction condition table 820 includes a wireless system column 821 , a shielding column 822 , a parameter column 823 , and a calculation exclusion permission/prohibition condition column 824 . A wireless system column 821 indicates the identifier of the type of wireless system to which the extraction condition is applied. The shielding column 822, the parameter column 823, and the calculation exclusion permission/rejection condition column 824 are the same as the shielding column 531, the parameter column 532, and the calculation exclusion permission/rejection condition column 533 of the extraction condition table shown in FIG. 5D.

For example, for WiFi with a relatively long wavelength, setting a larger size threshold can reduce the number of installed objects to be extracted. Alternatively, considering that 5G, which uses millimeter waves, travels in a straight line, it is possible to reduce the number of installed objects to be extracted by setting a smaller distance threshold.

According to the third embodiment, it is possible to change the simple simulation accuracy according to the type of wireless system, and adjust the wireless propagation performance estimation accuracy and the calculation time.

&lt;Fourth Embodiment&gt; In the fourth embodiment, in addition to or instead of the heat map 390 shown in FIG. is operable. In this embodiment, the information for determining whether an application is permitted or not is included in the wireless performance calculation information.

FIG. 12A shows a configuration example of wireless performance calculation information 590 according to the fourth embodiment. The wireless performance calculation information 590 includes a performance estimation method table 510, a propagation simulation time table 520, an extraction condition table 530, a material table 540, a past performance evaluation database 550, and an application availability determination table 560. Components other than the application availability determination table 560 are as described in the first embodiment.

FIG. 12B shows a configuration example of the application enable/disable determination table 560. As shown in FIG. Application enablement table 560 can be entered in step 603 shown in FIG. 6, for example, by a radio engineer.

The application propriety determination table 560 includes an application column 561 , a required power (base station) 562 column 562 , and a required power (terminal) column 563 . The application column 561 indicates the identifier of the type of application.

The required power (base station) column 562 indicates the radio wave reception power (threshold) required for the base station for wireless communication used by the application. The required power (terminal) column 563 indicates the radio wave reception power (threshold) required for the wireless communication terminal used by the application. The power requirements in columns 562 and 562 are expressed in dBm. If both base station and wireless terminal power requirements are set, both conditions must be met.

At step 711 shown in FIG. 7, after the wireless performance estimation is completed, the wireless performance calculation unit 121 determines whether the estimated wireless performance satisfies the conditions required by each application.

Specifically, the wireless performance calculation unit 121 refers to the process plan shown in FIG. 4, and obtains information on the positions of the wireless base stations and wireless terminals used in each process and the applications used. The wireless performance calculation unit 121 refers to the heat map 390 showing the distribution of received radio wave power and obtains the received radio wave power intensity of the radio base station and each radio terminal.

The wireless performance calculation unit 121 determines whether the received radio wave power of the base station and each wireless terminal exceeds the threshold indicated by the application enable/disable determination table 560 . Radio performance calculation section 121 includes the result of determining whether the estimated radio performance satisfies the conditions required by each application in the result of radio performance estimation presented to the user.

When the received radio wave power indicated by the heat map 390 is equal to or higher than each threshold of the application indicated by the application enable/disable decision table 560, the result of determination that the application is operable is indicated. If the received radio wave power indicated by the heat map 390 is less than the threshold for any of the applications indicated by the application enable/disable determination table 560, the result of determination that the application is inoperable is indicated.

According to the fourth embodiment, the site manager who has obtained the output result of the wireless performance estimation system can know more directly whether the process can be operated.

&lt;Other Embodiments&gt; In one embodiment herein, the propagation simulator 122 and another simulator are utilized together. For example, in addition to propagation simulator 122, a network simulator can be used. A known network simulator can be used. The network simulator uses the radio performance estimation results from the propagation simulator 122 to perform simulation. Network simulators can estimate wireless communication throughput, packet loss, delay, etc., in addition to receiving power information.

In one embodiment of the present specification, the process plan 200 may include items for input by the site manager to allow customization according to site conditions. For example, the following operations may be performed.

In the first operation example, the site manager can set whether the wireless performance estimation calculation needs to be completed before a predetermined time before the process start time. Wireless performance calculation section 121 determines the schedule so that the wireless performance estimation process is completed by the time set for each step. As a result, it becomes possible to take some countermeasures during the time from the acquisition of the wireless performance estimation result to the start of the process.

In a second operational example, site managers may assign priorities to processes. Radio performance calculation section 121 selects processes in descending order of priority and determines a radio performance estimation method. If there are processes with the same priority, the process with the earliest specified time may be selected. Depending on the priority, a highly accurate estimation method can be applied to, for example, a process whose deadline is approaching and which must be performed reliably.

In the above embodiment, the radio performance estimation method for each step is determined so as to end before the start of the corresponding step and by the time set for the corresponding step. For example, if no time is set for the process, the wireless communication estimation scheme may be determined with no requested completion time.

In addition, the present invention is not limited to the above-described embodiments, and includes various modifications. For example, the above embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the described configurations. Also, part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Moreover, it is possible to add, delete, or replace part of the configuration of each embodiment with another configuration.

Further, each of the configurations, functions, processing units, etc. described above may be realized by hardware, for example, by designing a part or all of them using an integrated circuit. Moreover, each of the above configurations, functions, etc. may be realized by software by a processor interpreting and executing a program for realizing each function. Information such as programs, tables, and files that implement each function can be stored in recording devices such as memory, hard disks, SSDs (Solid State Drives), or recording media such as IC cards and SD cards.

In addition, the control lines and information lines indicate those considered necessary for explanation, and not all control lines and information lines are necessarily indicated on the product. In fact, it may be considered that almost all configurations are interconnected.

1 Manufacturing premise

2 network

11 base station

12 sensor

13 camera

14 robot arm

15 remote server

100 Wireless performance estimation system

101 Arithmetic unit

102 Main memory

103 Auxiliary storage

104 input device

105 output device

106 communication interface

107 internal bath

121 Wireless performance calculator

122 Propagation simulator

131 Process information database

132 Information database for wireless performance calculation

200 Process planning

500 Information for radio performance calculation