WO2023157082A1 - Procédé de recommandation de position d'installation et système de recommandation de position d'installation - Google Patents

Procédé de recommandation de position d'installation et système de recommandation de position d'installation Download PDF

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Publication number
WO2023157082A1
WO2023157082A1 PCT/JP2022/005956 JP2022005956W WO2023157082A1 WO 2023157082 A1 WO2023157082 A1 WO 2023157082A1 JP 2022005956 W JP2022005956 W JP 2022005956W WO 2023157082 A1 WO2023157082 A1 WO 2023157082A1
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WIPO (PCT)
Prior art keywords
installation position
facility
radio wave
calculating
sensor
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PCT/JP2022/005956
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English (en)
Japanese (ja)
Inventor
嘉人 遠藤
剛 静間
Original Assignee
三菱電機ビルソリューションズ株式会社
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Application filed by 三菱電機ビルソリューションズ株式会社 filed Critical 三菱電機ビルソリューションズ株式会社
Priority to PCT/JP2022/005956 priority Critical patent/WO2023157082A1/fr
Publication of WO2023157082A1 publication Critical patent/WO2023157082A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • H04W16/20—Network planning tools for indoor coverage or short range network deployment
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information

Definitions

  • the present disclosure relates to an installation position recommendation method and an installation position recommendation system.
  • Patent Document 1 discloses an installation candidate position display device that displays information indicating installation candidate positions of sensors that transmit measurement data to a data collection device by multi-hop communication.
  • the installation candidate position display device described in Patent Document 1 includes storage means for storing position information in the warehouse of obstacles that attenuate radio waves used for multi-hop communication, and sensors in the warehouse based on the position information of the obstacles. an installation candidate position selection means for selecting, from the installation possible positions in the above, a larger number of installation possible positions closer to the obstacle as the sensor installation candidate positions.
  • Patent Document 1 the closer the distance to an obstacle that attenuates radio waves, such as a structure containing metal, the closer the distance to an obstacle that attenuates radio waves, the greater the number of installation candidate positions that are displayed. can propose an appropriate installation position for
  • the present disclosure has been made in order to solve such problems, and the purpose of the present disclosure is to recommend to the user the installation position of the sensor suitable for wireless communication in consideration of radio wave obstacles that can move within the facility.
  • the installation position recommendation method recommends the installation positions of the sensors installed in the facility.
  • the sensor is configured to communicate wirelessly with the server via a communication network.
  • the installation position recommendation method includes the steps of obtaining data indicating the movement trajectory of the radio wave obstacle moving within the facility, calculating the stopping position of the radio wave obstacle within the facility based on the data, and calculating the position of the radio wave obstacle. a step of calculating by a computer a non-recommended installation position that is not recommended as the installation position of the sensor from the stop position of the radio wave obstacle obtained; and a step of calculating by a computer a recommended installation position of the sensor so as to exclude the non-recommended installation position Prepare.
  • the installation position recommendation system recommends the installation positions of the sensors installed in the facility.
  • the sensor is configured to wirelessly communicate with the management server through a communication network.
  • the installation position recommendation system includes a processor and a memory that stores a program executed by the processor. According to the program, the processor obtains data indicating the movement locus of the radio wave obstacle moving within the facility, and calculates the stop position of the radio wave obstacle within the facility based on the obtained data. The processor further calculates a non-recommended installation position that is not recommended as the installation position of the sensor from the calculated stop position of the radio wave obstacle, and calculates a recommended installation position of the sensor so as to exclude the non-recommended installation position.
  • an installation position recommendation method and an installation position recommendation system capable of recommending to a user the installation position of a sensor suitable for wireless communication in consideration of radio wave obstacles that can move within a facility are provided. be able to.
  • FIG. 1 is an overall configuration diagram of an installation position recommendation system according to the present embodiment;
  • FIG. It is a figure which shows the hardware constitutions of a server.
  • 4 is a flowchart for explaining a processing procedure of an installation position recommendation method according to the embodiment;
  • It is a figure which shows an example of a flow-line map.
  • It is a figure which shows an example of a movement map.
  • It is a figure which shows an example of the non-recommended installation position of a sensor.
  • FIG. 11 is a flow chart for explaining a processing procedure of an installation position recommendation method according to a modification of the present embodiment;
  • FIG. It is a figure which shows an example of a congestion degree map.
  • the installation position recommendation system is a system that recommends to a user an appropriate installation position for a sensor that measures the air environment in a facility.
  • the installation location recommendation system can be utilized in an air environment management system 200 as shown in FIG.
  • FIG. 1 is a diagram showing a schematic configuration of an air environment management system 200 that manages the air environment within a facility.
  • a sensor 210 that measures the air environment is installed in the facility.
  • the sensor 210 is, for example, a thermohygrometer that measures the temperature and humidity within the facility, a CO 2 concentration meter that measures the CO 2 (carbon dioxide) concentration within the facility, and the like.
  • the sensor 210 is communicably connected to a management server (cloud server) 230 that manages the air environment within the facility via a gateway 220 and a network NW (typically, the Internet). Sensor 210 transmits measurement data of the air environment such as temperature, humidity and CO 2 concentration to management server 230 via gateway 220 and network NW.
  • the management server 230 remotely controls the air conditioner 240 installed in the facility based on the measurement data from the sensor 210 so as to keep the air environment in the facility within a preset proper range.
  • the sensor 210 In order to provide a comfortable air environment to people who use the facility by remote control of the air conditioning equipment 240 described above, it is necessary to install the sensor 210 for measuring the air environment in an area used by a large number of people 80 in the facility. There is In such an area, it is required to install the sensor 210 at a height (approximately 120 to 150 cm above the floor) at which the person 80 feels the air environment.
  • obstacles to wireless communication include the person 80 present in the facility, the mobile robot 50, and the like. be. This is because these obstacles contain substances (such as water and metal) that attenuate radio waves used for wireless communication. In order to stably establish wireless communication, it is desirable to install the sensor 210 while avoiding radio wave obstacles. However, since the person 80 and the mobile robot 50 can move within the facility, there is a problem that it is difficult to specify the position of the radio wave obstacle.
  • the installation position recommendation system and installation position recommendation method according to the present embodiment determine the installation position of sensor 210 suitable for wireless communication in consideration of radio wave obstacles that can move within the facility. The location is recommended to users of the air environment management system 200.
  • An installation position recommendation system and an installation position recommendation method according to the present embodiment will be described below, taking as an example the case of determining the installation position of sensor 210 that measures the air environment in a commercial facility (e.g., shopping mall).
  • FIG. 2 is an overall configuration diagram of installation position recommendation system 100 according to the present embodiment.
  • Servers 10, 20, and 30 are communicably connected to each other via a communication network NW.
  • the server 20 is a server that manages the mobile robots 50 that exist within the facility.
  • the mobile robot 50 is, for example, a cleaning robot that is an autonomously mobile vacuum cleaner, an autonomously mobile carrier robot, or an autonomously mobile guide robot that responds to inquiries from shoppers.
  • the mobile robot 50 is equipped with a battery, and can move within the facility using power stored in the battery.
  • a wireless communication device 52 is mounted on the mobile robot 50 .
  • the wireless communication device 52 transmits a signal for detecting the position of the mobile robot 50 using, for example, a communication method conforming to the BLE (Bluetooth Low Energy, "Bluetooth” is a registered trademark) communication standard.
  • BLE Bluetooth Low Energy
  • UWB Ultra Wide Band
  • the wireless communication device 52 uses a communication method conforming to a wireless communication standard such as LTE (Long Term Evolution), for example, to identify an ID (Identification) for identifying the mobile robot 50 and the operating state of the mobile robot 50.
  • a signal or the like to indicate is transmitted to the server 20 .
  • the plurality of wireless communication devices 40 are installed, for example, on the ceiling 45 of the facility at appropriate distances, and generate signals from the mobile robot 50 using the same communication standard as the wireless communication device 52 of the mobile robot 50. It receives the signal that is sent and detects the strength of the received signal. The position of the mobile robot 50 within the facility can be determined from the reception strength of each wireless communication device 40 . The wireless communication device 40 outputs the reception strength of the signal received from the mobile robot 50 to the server 20 . Wireless communication device 40 may be installed on a wall.
  • the server 20 receives the reception strength of the signal received by the wireless communication device 40 from the wireless communication device 40 and measures the position of the mobile robot 50 within the facility from the reception strength of each wireless communication device 40 . Then, the server 20 generates movement data indicating the movement route of the mobile robot 50 based on the position of the mobile robot 50, and transmits the generated movement data to the server 10 via the communication network NW.
  • the server 30 is a server that monitors the movement of people (shoppers, employees, etc.) in the facility.
  • a plurality of wireless communication devices 60 and cameras 62 installed on the ceiling 45 are communicatively connected to the server 30 .
  • a plurality of wireless communication devices 60 and cameras 62 are installed on the ceiling 45 at appropriate distances and used to detect the movements of people 80 present in the facility.
  • the radio 60 and camera 62 may be wall mounted.
  • the shopping cart 70 used by shoppers is equipped with a wireless communication device 72 .
  • Wireless communication device 72 uses a communication method conforming to the BLE communication standard, the UWB communication standard, or the like, similarly to wireless communication device 52 , to transmit a signal for detecting the position of shopping cart 70 .
  • the wireless communication device 60 receives a signal generated from the shopping cart 70 using the same communication standard as the wireless communication device 72 of the shopping cart 70, and detects its reception strength. Wireless communication device 60 outputs the reception strength of the signal received from shopping cart 70 to server 30 .
  • the camera 62 captures an image of the inside of the facility and outputs the captured image (moving image) to the server 30 .
  • the captured image includes an image of a person 80 passing through the facility.
  • the server 30 receives the reception strength of the signal received by the wireless communication device 60 from the wireless communication device 60 and measures the position of the shopping cart 70 within the facility from the reception strength of each wireless communication device 60 . Based on the positional information of the shopping cart 70 and the captured image (moving image) from the camera 62, the server 30 generates flow line data indicating the flow line of people within the facility. The server 30 transmits the generated flow line data to the server 10 via the communication network NW.
  • the server 10 acquires the movement data of the mobile robot 50 from the server 20 and acquires the flow line data of people from the server 30 .
  • the server 10 uses the acquired data to determine the installation position of the sensor suitable for wireless communication with the management server of the air environment management system (see FIG. 1).
  • the server 20 that manages the mobile robot 50, the server 30 that monitors the movement of people in the facility, and the server 30 that determines the installation position of the sensor are configured separately.
  • any two of the servers 10, 20, and 30 may be integrally configured, or all the servers 10, 20, and 30 may be integrally configured.
  • the management server and the servers 10, 20, and 30 are configured as separate entities, but the configuration is not limited to this.
  • the management server and at least two of the servers 10, 20 and 30 may be integrated, or the management server and the servers 10, 20 and 30 may all be integrated.
  • FIG. 3 is a diagram showing the hardware configuration of servers 10, 20, and 30.
  • the server 10 has, as main components, a processor 11 that executes a program, a ROM (Read Only Memory) 12 that stores data in a non-volatile manner, and a RAM (Random Access Memory) 13 for volatilely storing data or data input via an input device, HDD (Hard Disk Drive) 14 for nonvolatilely storing data, and communication IF (Interface) 15 and a display 16 .
  • a processor 11 that executes a program
  • ROM Read Only Memory
  • RAM Random Access Memory
  • HDD Hard Disk Drive
  • communication IF Interface
  • the communication IF 15 is an interface for communicating with the servers 20, 30 and the management server.
  • Server 10 may include other non-volatile storage devices in place of or along with HDD 14 .
  • the processing in the server 10 is implemented by each piece of hardware and software executed by the processor.
  • Such software may be stored in the HDD 14 in advance.
  • Software may also be stored in other storage media and distributed as program products.
  • the software may be provided as a downloadable program product by an information provider connected to an external communication network.
  • Such software is temporarily stored in the HDD 14 after being read from the storage medium by a reading device or downloaded via the communication IF 15 or the like.
  • the software is read from HDD 14 by processor 11 and stored in RAM 13 in the form of an executable program. Processor 11 executes the program.
  • the server 20 includes a processor 21, ROM 22, RAM 23, HDD 24, and communication IF 25 as main components. Each component is connected to each other by a data bus 26 .
  • Communication IF 25 is an interface for communicating with server 10 , mobile robot 50 and wireless communication device 40 .
  • the HDD 24 stores information on the mobile robot 50, information on facilities, position information and movement trajectory of the mobile robot 50, and the like.
  • the HDD 24 also stores various databases for managing the mobile robot 50 .
  • the server 30 includes a processor 31, ROM 32, RAM 33, HDD 34 and communication IF 35 as main components. Each component is interconnected by a data bus 36 .
  • Communication IF 35 is an interface for communicating with server 10 , wireless communication device 60 and camera 62 .
  • HDD 34 stores positional information and flow line information of person 80 and shopping cart 70 .
  • FIG. 4 is a flowchart for explaining the processing procedure of the installation position recommendation method according to this embodiment.
  • the installation position recommendation method includes a step of acquiring human flow line data (S10), a step of acquiring movement data of mobile robot 50 (S20), and a sensor It mainly has a step (S30) of calculating a non-recommended installation position that is not recommended as the installation position and a step (S40) of outputting a recommended installation position that is recommended as the installation position of the sensor.
  • the step (S10) of acquiring human flow line data is performed.
  • Person flow line data is generated by the server 30 .
  • the server 30 measures the positions of people and shopping carts 70 in the facility at predetermined sampling intervals.
  • a person's position can be determined from images captured by a plurality of cameras 62 using known image analysis techniques.
  • the position of the shopping cart 70 can be measured from the reception strengths of multiple wireless communication devices 60 .
  • the server 30 detects the movement trajectory of the person based on the measurement results of the positions of the person and the shopping cart 70 .
  • the server 30 uses the detected movement trajectories of people to create a flow line map representing the flow of people (people flow) within the facility.
  • the server 30 stores the created flow line map in the HDD 34 .
  • the flow line map corresponds to an example of "flow line data".
  • FIG. 5 is a diagram showing an example of a flow line map.
  • FIG. 5 schematically shows a plan view of the floor in the facility as seen from the ceiling.
  • the facility includes multiple entrances, multiple stores, a store warehouse, a shopper passageway for shoppers to pass through, an employee passageway for employees to pass through, a machine room, a break room, A restroom, elevators EV1 to EV4, and the like are provided.
  • a line L1 shown in FIG. 5 indicates the movement trajectory (flow line) of the person or the shopping cart 70 .
  • a line L1 represents a person moving between facilities such as a doorway, an elevator, and a store through a passageway.
  • the mark M1 shown in FIG. 5 indicates the position where the movement of the person has stopped. This stop position is detected provided that the position of the person or shopping cart 70 has not changed over multiple sampling periods (eg, several minutes).
  • a plurality of marks M1 are positioned around guide plates and pillars for guiding inside the facility, indicating that a plurality of people are stopping in these areas.
  • the server 30 creates the above-described flow line map every predetermined time (for example, on a daily basis).
  • the HDD 34 stores a plurality of flow line maps created in predetermined time units.
  • the server 30 transmits the flow line maps stored in the HDD 34 to the server 10 .
  • the plurality of flow line maps includes, for example, one week's worth or one month's worth of flow line maps.
  • the step of acquiring the movement data of the mobile robot 50 (S20) is then performed. Movement data of the mobile robot 50 is generated by the server 20 .
  • the server 20 measures the position of the mobile robot 50 within the facility at a predetermined sampling cycle.
  • the position of the mobile robot 50 can be measured from the reception intensities of multiple wireless communication devices 40 .
  • the server 20 detects the stop position of the mobile robot 50 based on the measurement result of the position of the mobile robot 50 . Based on the detected stop positions, the server 20 creates a movement map representing the stop positions of the mobile robot 50 within the facility. The server 20 stores the created movement map in the HDD 24 .
  • a movement map corresponds to one example of "movement data.”
  • FIG. 6 is a diagram showing an example of a movement map.
  • FIG. 6 schematically shows a plan view of the floor in the facility as seen from the ceiling. This plan view is the same as the plan view shown in FIG.
  • the marks M2 and M3 shown in FIG. 6 indicate the stop positions of the mobile robot 50.
  • a mark M2 represents a waiting place where the mobile robot 50 waits while the operation is stopped.
  • a mark M3 represents a position where the mobile robot 50 that has moved from the waiting place stops. Mark M2 and mark M3 can be classified according to the length of stop time.
  • a waiting place for the mobile robot 50 is provided in the corner of the floor or around the guide plate, and the mobile robot 50 moves from this waiting place to a pillar and stops. .
  • the server 30 creates the movement map described above at predetermined time intervals (for example, on a daily basis).
  • the HDD 24 stores a plurality of movement maps created in predetermined time units.
  • Server 30 transmits a plurality of movement maps stored in HDD 24 to server 10 .
  • the plurality of movement maps includes, for example, movement maps for one week or one month.
  • a step (S30) of calculating non-recommended installation positions is performed.
  • the non-recommended installation position is calculated by the server 10 .
  • the server 10 calculates the non-recommended installation position of the sensor 210 based on the human flow line data acquired in S10 and the movement data of the mobile robot 50 acquired in S20.
  • the server 10 calculates, based on the flow line data (flow line map) of people, an area in the facility where the movement of people has stopped continuously for a predetermined time or longer. Specifically, the server 10 extracts the stop position of the person indicated by the mark M1 from each of the flow line maps transmitted from the server 30 . Some flow line maps indicate one or more stop positions, as shown in FIG. This stop position represents a position where the movement of a person is continuously stopped over a plurality of sampling periods.
  • the server 10 compares the stop positions extracted from each flow line map, and detects matching stop positions between at least two or more predetermined number of flow line maps.
  • This detected stop position can be determined to be the position where the movement of the person continues and stops on a daily basis. Therefore, the server 10 calculates this detected stop position as an area where the movement of the person continues and stops.
  • the server 10 calculates an area in the facility where the movement of the mobile robot 50 continues for a predetermined time or longer. Specifically, server 10 extracts the stop positions of mobile robot 50 indicated by marks M2 and M3 from each of the plurality of movement maps transmitted from server 20 . Some movement maps have one or more stop positions indicated, as shown in FIG. The stop positions include a waiting place for the mobile robot 50 and a stop position where the mobile robot 50 that has moved from the waiting place stops.
  • the server 10 compares the stop positions extracted from each movement map, and detects matching stop positions between at least two or more predetermined number of movement maps. This detected stop position can be determined as the position where the mobile robot 50 continues to stop on a daily basis. Therefore, the server 10 calculates the detected stop position as an area in which the mobile robot 50 continues to stop.
  • the server 10 calculates a non-recommended installation position based on the area where the movement of the person continues and stops and the area where the movement of the mobile robot 50 continues and stops. Specifically, the server 10 calculates, as the non-recommended installation position, an area corresponding to at least one of an area in which the movement of the person continues to stop and an area in which the movement of the mobile robot 50 continues to stop.
  • the person and the mobile robot 50 are obstacles to wireless communication between the sensor 210 and the management server 230. Therefore, wireless communication is difficult in areas where the person or the mobile robot 50 continuously stops. considered an area. Therefore, when the sensor 210 is installed in the area, it becomes impossible to establish wireless communication between the sensor 210 and the management server 230, which may hinder management of the air environment of the facility by the management server 230.
  • FIG. 7 is a diagram showing an example of a non-recommended installation position of the sensor 210. As shown in FIG. The non-recommended installation positions shown in FIG. 7 are calculated based on the flow line map shown in FIG. 5 and the movement map shown in FIG. FIG. 7 schematically shows a plan view of the floor in the facility as seen from the ceiling. This plan view is the same as the plan views shown in FIGS.
  • An area AR1 shown in FIG. 7 indicates a non-recommended installation position of the sensor 210.
  • Each area AR1 is set to include the stop position of the person indicated by the mark M1 and/or the stop position of the mobile robot 50 indicated by the marks M2 and M3.
  • the server 10 generates and outputs data indicating recommended installation positions based on the non-recommended installation positions calculated in S30. Specifically, the server 10 sets an area excluding the non-recommended installation positions in the facility as the recommended installation position. In the example of FIG. 7, the area of the floor excluding the area AR1 indicating the non-recommended installation position is set as the recommended installation position. By excluding non-recommended installation positions in this way, it is possible to prompt the user to install the sensor 210 while avoiding areas where wireless communication failures are likely to occur.
  • the server 10 transmits data indicating the recommended installation position to the management server 230 via the communication network NW.
  • the management server 230 displays the data received from the server 10 on the display.
  • the server 10 may display data indicating the recommended installation positions on its own display 16 .
  • the installation position of the sensor suitable for wireless communication is determined in consideration of the movement trajectory of radio wave obstacles (people and mobile robots) moving within the facility.
  • the sensor can be installed at a position that is not easily affected by radio wave obstacles, so that stable wireless communication can be established between the sensor and the management server.
  • the stop positions of people are extracted from the flow line data of people (FIG. 5), and non-recommended installation positions of sensors are calculated.
  • a person's stop position may be extracted from the data.
  • FIG. 8 is a flow chart explaining the processing procedure of the installation position recommendation method according to the modification of the present embodiment.
  • the flowchart shown in FIG. 8 is obtained by replacing the step (S10) of acquiring flow line data of people in the flowchart shown in FIG. 4 with a step (S11) of acquiring congestion degree data.
  • Congestion degree data is generated by the server 30 .
  • the server 30 measures the positions of people and shopping carts 70 in the facility at predetermined sampling intervals.
  • a person's position can be determined from images captured by a plurality of cameras 62 using known image analysis techniques.
  • the position of the shopping cart 70 can be measured from the reception strengths of multiple wireless communication devices 60 .
  • the server 30 calculates the degree of congestion within the facility based on the measurement results of the positions of people and shopping carts 70 .
  • the degree of congestion can be calculated, for example, based on the total number of people and shopping carts 70 per unit area of the floor.
  • the server 30 uses the calculated congestion degree to create a congestion degree map representing the congestion degree within the facility.
  • the server 30 stores the created congestion degree map in the HDD 34 .
  • the congestion degree map corresponds to one example of "congestion degree data.”
  • FIG. 9 is a diagram showing an example of a congestion degree map.
  • FIG. 9 schematically shows a plan view of the floor in the facility as seen from the ceiling. The plan view shown in FIG. 9 is the same as the plan views shown in FIGS.
  • the congestion degree map shown in FIG. 9 expresses the degree of congestion for each unit area in color.
  • a color bar B1 indicating the range of colors assigned according to the congestion degree is shown on the upper right of the congestion degree map.
  • the color bar B1 is divided into a plurality of segments between the maximum value and the minimum value of the degree of congestion, and different colors are set for the plurality of segments.
  • the congestion degree map is color-coded according to the degree of congestion according to this color bar B1. In this congestion degree map, an area with a high degree of congestion indicates that a plurality of people are standing still and the movement of people has stopped.
  • the server 30 creates the above-described congestion degree map every predetermined time (for example, on a daily basis).
  • the HDD 34 stores a plurality of congestion degree maps created in predetermined time units.
  • Server 30 transmits a plurality of congestion degree maps stored in HDD 34 to server 10 .
  • a plurality of congestion degree maps includes, for example, one week's worth or one month's worth of flow line maps.
  • the server 10 calculates the non-recommended installation position of the sensor 210 based on the congestion degree data acquired in S11 and the movement data of the mobile robot 50 acquired in S20. Calculate the recommended installation position.
  • the server 10 calculates, based on the congestion degree data (congestion degree map), areas within the facility where movement of people has stopped continuously for a predetermined time or longer. Specifically, the server 10 extracts areas in which the degree of congestion exceeds a predetermined threshold from each of the congestion degree maps transmitted from the server 30 . As shown in FIG. 8, some congestion level maps indicate areas where the congestion level exceeds a threshold. This area represents a position where a person's movement has stopped continuously over a plurality of sampling periods.
  • the server 10 compares the stop positions extracted from each congestion degree map, and detects matching stop positions between at least two or more predetermined number of congestion degree maps.
  • This detected stop position can be determined to be the position where the movement of the person continues and stops on a daily basis. Therefore, the server 10 calculates this detected stop position as an area where the movement of the person continues and stops.
  • the server 10 calculates an area in the facility where the movement of the mobile robot 50 continues for a predetermined time or longer. Then, the server 10 calculates an area where the person or the mobile robot 50 continuously stops as a non-recommended installation position where installation of the sensor is not recommended.
  • the movable radio wave obstacles are not limited to these.
  • the non-recommended installation position of the sensor can be calculated based on the flow line data of people or the degree of congestion data.
  • non-recommended installation positions of sensors can be calculated based on movement data of mobile robots.

Abstract

Procédé de recommandation de position d'installation conçu pour recommander la position d'installation d'un capteur à installer dans une installation. Le capteur est configuré pour effectuer une communication sans fil avec un serveur par l'intermédiaire d'un réseau de communication. Ce procédé de recommandation de position d'installation comprend : une étape consistant à acquérir des données indiquant la trajectoire de mouvement d'un obstacle d'onde radioélectrique (80, 50) se déplaçant à l'intérieur d'une installation ; une étape consistant à calculer, par un ordinateur, la position d'arrêt de l'obstacle d'onde radioélectrique (80, 50) à l'intérieur de l'installation sur la base des données ; une étape consistant à calculer, par l'ordinateur, une position d'installation non recommandée qui n'est pas recommandée comme position d'installation du capteur à partir de la position d'arrêt calculée de l'obstacle d'onde radioélectrique (80, 50) ; et une étape consistant à calculer, par l'ordinateur, la position d'installation recommandée du capteur de façon à exclure la position d'installation non recommandée.
PCT/JP2022/005956 2022-02-15 2022-02-15 Procédé de recommandation de position d'installation et système de recommandation de position d'installation WO2023157082A1 (fr)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010045701A (ja) * 2008-08-18 2010-02-25 Central Res Inst Of Electric Power Ind 無線センサネットワークのセンサ端末配置支援方法及びプログラム
WO2020074936A1 (fr) * 2018-10-11 2020-04-16 Olympus Corporation Système et procédé de génération d'un motif de diffraction afin d'optimiser l'emplacement d'un capteur dans un environnement 3d

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010045701A (ja) * 2008-08-18 2010-02-25 Central Res Inst Of Electric Power Ind 無線センサネットワークのセンサ端末配置支援方法及びプログラム
WO2020074936A1 (fr) * 2018-10-11 2020-04-16 Olympus Corporation Système et procédé de génération d'un motif de diffraction afin d'optimiser l'emplacement d'un capteur dans un environnement 3d

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