WO2023209824A1 - Système de prédiction d'emplacement de séjour et procédé de prédiction d'emplacement de séjour - Google Patents

Système de prédiction d'emplacement de séjour et procédé de prédiction d'emplacement de séjour Download PDF

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Publication number
WO2023209824A1
WO2023209824A1 PCT/JP2022/018948 JP2022018948W WO2023209824A1 WO 2023209824 A1 WO2023209824 A1 WO 2023209824A1 JP 2022018948 W JP2022018948 W JP 2022018948W WO 2023209824 A1 WO2023209824 A1 WO 2023209824A1
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Prior art keywords
stay
place
lighting
facility
staying
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PCT/JP2022/018948
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English (en)
Japanese (ja)
Inventor
嘉人 遠藤
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三菱電機ビルソリューションズ株式会社
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Priority to PCT/JP2022/018948 priority Critical patent/WO2023209824A1/fr
Priority to JP2024517669A priority patent/JPWO2023209824A1/ja
Publication of WO2023209824A1 publication Critical patent/WO2023209824A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
    • Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection

Definitions

  • the present disclosure relates to a stay location prediction system and a stay location prediction method that predict the stay location of a person staying in a facility where a power outage has occurred.
  • a power outage occurs at night in a facility, the facility manager will patrol the facility to confirm safety. Because the facility is dark due to a power outage, it is dangerous for people to move around, and it takes time to visit every room.
  • Patent Document 1 An example of a device that detects where people are in a building is the equipment control system described in Japanese Patent Application Laid-Open No. 2017-188717 (Patent Document 1). This equipment control system detects the area where the user is located based on the usage status of electrical equipment such as lighting installed in the home.
  • This disclosure has been made to solve such problems, and the purpose of this disclosure is to help facility managers efficiently check the safety of residents in the facility when a power outage occurs within the facility. It is an object of the present invention to provide a stay place prediction system and a stay place prediction method that can perform the following.
  • the staying place prediction system is a system that predicts the staying place of a person staying in a facility where a power outage has occurred.
  • the stay location prediction system includes a processing section and a communication section.
  • the processing unit performs a process of predicting a place of stay.
  • the communication unit communicates with a lighting system that manages switch states of lights installed within the facility.
  • the communication unit periodically requests the lighting system to transmit the switch status.
  • the processing unit predicts a stay location based on the received switch state when there is no response from the lighting system to the request.
  • the staying place prediction method is a method of predicting the staying place of a person staying in a facility where a power outage has occurred.
  • the staying place prediction method includes a step of performing a process of predicting a staying place, and a step of communicating with a lighting system that manages switch states of lights installed in a facility.
  • the communicating step includes periodically requesting the lighting system to send switch status.
  • the processing includes predicting where to stay based on the received switch state if there is no response from the lighting system to the request.
  • the facility manager can efficiently confirm the safety of the residents within the facility.
  • FIG. 1 is a diagram showing a hardware configuration of a stay location prediction system and a lighting system according to an embodiment of the present disclosure.
  • FIG. 2 is a diagram for explaining processing executed by the stay location prediction system. It is a figure showing an example of a lighting table for notification. It is a flowchart of visitor prediction table generation processing. It is a figure showing an example of a visitor prediction table. It is a figure which shows an example of a visitor prediction area map. It is a flowchart of priority processing. It is a figure which shows an example of a notification information image.
  • FIG. 1 is a diagram showing the hardware configuration of a stay location prediction system 1 and lighting systems 200, 300 according to an embodiment of the present disclosure.
  • the stay location prediction system 1 is a system that predicts the stay location of a person staying in a facility where a power outage has occurred. In this embodiment, Building A 10 is illustrated as an example of a facility.
  • the stay location prediction system 1 includes a server 100 and a terminal 400.
  • the server 100 is installed, for example, within a management company that manages a facility (Building A 10).
  • the server 100 may be installed in a location that is supplied with power that is different from the A building 10, and may be located on the cloud.
  • the server 100 includes a processor 111 as a processing unit, a memory 112, and a communication IF (Interface) 113 as a communication unit. These are communicably connected to each other via a bus.
  • the processor 111 is, for example, a CPU (Central Processing Unit).
  • the memory 112 may be configured to include a ROM (Read Only Memory), a RAM (Random Access Memory), and a storage section.
  • the storage unit is a nonvolatile storage device.
  • the storage unit may be, for example, an HDD (Hard Disk Drive) or an SSD (Solid State Drive).
  • the processor 111 loads programs stored in the ROM into the RAM and executes them to realize various functions of the server 100.
  • the processor 111 performs processing such as predicting a place of stay.
  • the ROM stores a program in which processing procedures of the server 100 are written.
  • the RAM serves as a work area when the processor 111 executes a program, and temporarily stores programs and data used when executing the program.
  • the server 100 can be wirelessly connected to the lighting systems 200 and 300 and the terminal 400 via the communication IF 113.
  • lighting systems 200, 300 and a plurality of lighting devices 210, 310 are installed inside Building A 10.
  • the lighting systems 200 and 300 have a function of managing the switch states of the lights installed in the A building 10.
  • the lighting system 200 is connected to a plurality of lighting devices 210 and manages the plurality of lighting devices 210.
  • the lighting system 300 is connected to a plurality of lighting devices 310 and manages the plurality of lighting devices 310.
  • the lighting systems 200 and 300 may be ones that manage building equipment other than lighting, may be IoT (Internet of Things) lighting switches, or use some type of communication that can obtain the lighting switch status. Any device is fine. Further, the plurality of lighting devices 210 and 310 may be configured by one communication device that can acquire the switch state of the lighting, or may be configured by three or more communication devices.
  • IoT Internet of Things
  • the server 100 can acquire the switch states of the plurality of lighting devices 210, 310 from the lighting systems 200, 300, and predicts the visitor's stay location based on the switch states.
  • the terminal 400 is a terminal used by an administrator (such as a security guard) who manages Building A 10.
  • the manager of Building A 10 may be a person permanently stationed in the manager's room of Building A 10, or may be a person who is in charge of managing Building A 10 without being permanently stationed in Building A 10.
  • the terminal 400 is, for example, a mobile terminal such as a smartphone.
  • the terminal 400 may be composed of a plurality of terminals used by a plurality of users (administrators). Each terminal is registered in the server 100 in advance. Then, when a power outage occurs, the predicted place of stay etc. is transmitted to each terminal 400. With this, it is possible to check the place of stay etc. on each terminal 400.
  • the terminal 400 includes a processor (CPU) 411, a memory 412, a communication IF 413, an input section 420, and a display section 421. These are communicably connected to each other via a bus.
  • the memory 412 may be configured to include a ROM, a RAM, and a storage section.
  • the processor 411 loads programs stored in the ROM into the RAM and executes them to realize various functions of the terminal 400.
  • the ROM stores a program in which the processing procedure of the terminal 400 is written.
  • the terminal 400 is connectable to the server 100 via the communication IF 413.
  • the input unit 420 accepts input from the user.
  • the input unit 420 is, for example, a touch panel, but may also be a keyboard or a mouse.
  • the display unit 421 displays various information.
  • the display unit 421 is, for example, a liquid crystal display or a display.
  • the display unit 421 of the terminal 400 can display the place of stay etc. predicted by the server 100.
  • the stay location prediction system 1 may be configured only by the server 100 without including the terminal 400, or may be configured by the server 100, the terminal 400, and the lighting systems 200 and 300. Further, the stay location prediction system 1 may be configured to be connectable to each lighting system of a plurality of facilities (buildings), and predict the stay location in each building. In this case, the place of stay in each building is displayed on the terminal of the manager who manages each building.
  • FIG. 2 is a diagram for explaining the processing executed by the server 100.
  • the communication IF 113 of the server 100 requests the lighting systems 200, 300 to transmit the switch states of the plurality of lighting devices 210, 310 periodically (for example, every 30 seconds).
  • the lighting systems 200 and 300 transmit the switch states (hereinafter also simply referred to as "switch states") of the plurality of lighting devices 210 and 310 in response to a request from the server 100.
  • switch states hereinafter also simply referred to as "switch states"
  • the server 100 Upon receiving the switch status, the server 100 updates the lighting status DB.
  • the lighting state DB is stored in the memory 112.
  • the "lighting state DB” is a database that records information regarding switch states, and stores data in the same format as the "notification lighting table” (see FIG. 3), which will be described later. Since the lighting state DB is updated regularly (every 30 seconds) by the server 100, the lighting state DB always contains the latest switch states of the plurality of lighting devices 210, 310 (whether the lights are ON or OFF). ) is recorded.
  • the server 100 determines that the A building 10 is in a power outage state. Specifically, if the lighting system 200, 300 does not transmit the switch status even after a predetermined period of time (for example, 90 seconds) has passed since the server 100 requested transmission of the switch status (timeout), It is determined that there is a power outage.
  • a predetermined period of time for example, 90 seconds
  • the server 100 determines that there is a power outage, it executes the power outage processing. In processing when a power outage occurs, the server 100 predicts the place of stay based on the received switch state.
  • the server 100 Upon starting the power outage processing, the server 100 copies the lighting status DB and creates a notification lighting table. By doing so, when determining that the server 100 is in a power outage state, the server 100 can extract the switch state (latest switch state) received last from the lighting system 200, 300 as the switch state at the time of power outage. .
  • FIG. 3 is a diagram showing an example of a notification lighting table.
  • the notification lighting table stores data recording the building name, floor number, room name, light switch number, date and time, and switch status corresponding to each light. Data is also recorded in the illumination state DB in a similar format.
  • the notification lighting table shown in FIG. 3 stores the same data as the data recorded in the lighting state DB when a power outage occurs.
  • the data is acquired from the lighting systems 200, 300 of Building A 10, so "Building A" is recorded as the building name.
  • FIG. 3 data regarding lighting on the first floor and the second floor is illustrated.
  • Each floor consists of living rooms and common areas.
  • the common area on the first floor consists of a hallway, an EV (elevator) hall, an entrance, a back hallway, and a back door.
  • the common area on the second floor consists of an EV hall, north corridor, south corridor, east corridor, etc., and the living rooms on the second floor consist of rooms 201, 202, and 203 (see FIG. 6, which will be described later). In this way, building A 10 has living rooms and a common area on the same floor.
  • the lights installed in each room are equipped with corresponding light switches.
  • Each light switch is distinguished by a light switch number. For example, four lights are installed at 203 on the second floor of Building A. Switches with lighting switch numbers N01, N02, S01, and S02 are provided corresponding to these lights.
  • the notification lighting table shows that at 19:23:15 on September 28th, the switches N01 and N02 of 203 are both ON, and the switches S01 and S02 of 203 are both OFF. It has been shown that there is.
  • the switch states of the entrance, EV hall, and common areas on the first floor are all in the ON state.
  • the switches for the back hallway and back door, which are common areas on the first floor are both shown to be in the OFF state.
  • FIG. 3 it is assumed that all the lights in the living room on the first floor are in the OFF state.
  • the server 100 executes the visitor prediction table generation process. Thereby, the server 100 extracts the lighting whose switch state is ON at the time of power outage as the lighting in use. Then, the server 100 predicts that the place where the in-use lighting is installed is the place of stay. This will be explained in detail below.
  • FIG. 4 is a flowchart of the visitor prediction table generation process.
  • the server 100 executes visitor prediction table generation processing.
  • the “step” will also be simply referred to as "S”.
  • the server 100 extracts lights whose light switches are in the ON state in the notification lighting table, and sets a flag to ON for the extracted lights.
  • light switch numbers 203 (hereinafter also simply referred to as "numbers") N01, N02, number C01 of 201, EV hall number E01, north corridor number N01, and south corridor number
  • numbers corresponding to S01 and east corridor number E01 are extracted.
  • lights corresponding to the entrance number G01, the EV hall number E01, the entrance number E02, the back hallway number B01, and the back door number BD01 are extracted. Flags are set to ON for these lights.
  • the server 100 determines whether or not the light switch in the living room is in the ON state and the light switch in the common area is in the ON state on the same floor.
  • the process proceeds to S103. If the server 100 does not determine that the light switch in the living room is in the ON state and the light switch in the common area is not in the ON state on the same floor (NO in S102), the process proceeds to S104.
  • the server 100 sets the lighting flag of the common area on the corresponding floor to OFF.
  • the light switches for living rooms 203 and 201 on the second floor are in the ON state, and the light switches in the EV hall, north corridor, south corridor, and east corridor, which are common areas on the second floor, are in the ON state. It is. For this reason, the flags for the lights in the EV hall, north corridor, south corridor, and east corridor, which are common areas on the second floor, are set to OFF.
  • the server 100 writes information about the lights whose flags are set to ON to the visitor prediction table.
  • the server 100 among the lights extracted in S101, information on the lights excluding the lights in the common area on the second floor is written to the visitor prediction table.
  • FIG. 5 is a diagram showing an example of a visitor prediction table.
  • the lighting information corresponding to the numbers N01 and N02 of 203 and the number C01 of 201 on the second floor, and the number G01 of the entrance, the number E01 of the EV hall, and the number E02 of the entrance on the first floor, are stored. are written to the prediction table.
  • the server 100 predicts that a person is staying in an area where a light corresponding to the light switch number written in the visitor prediction table is installed (this is the place of stay). In other words, the server 100 predicts that the places to stay are 203 and 201 on the second floor, the entrance, the EV hall, and the entrance on the first floor.
  • the place of stay may be specified in a more limited manner. For example, for 203 on the second floor, the place of stay may be specified as "around the lights corresponding to numbers N01 and N02."
  • FIG. 6 is a diagram showing an example of a visitor prediction area diagram 90.
  • FIG. 6 shows a predicted visitor area for the second floor of Building A 10.
  • the server 100 generates a predicted visitor area diagram by adding information regarding light switches to a layout diagram of Building A 10 prepared in advance.
  • rooms 201, 202, and 203 are provided as living rooms. Additionally, on the second floor of Building A 10, there are an EV hall, south corridor, north corridor, EV, and stairs as common areas.
  • 201 corresponds to number C01
  • 202 corresponds to number S01
  • N01 corresponds to number S01
  • 203 corresponds to number S01
  • EV hall corresponds to number E01
  • south corridor corresponds to number S01
  • north corridor corresponds to number N01. Lighting is installed.
  • the server 100 predicts that locations 201 and 203 will be on the second floor.
  • the server 100 generates an image of a humanoid image superimposed near the lights corresponding to numbers C01 of 201 and numbers N01 and N02 of 203, whose light switches are in the ON state, as a visitor prediction area diagram 90. .
  • the visitor's place of stay can be confirmed at a glance using the visitor predicted area map 90.
  • the switch states of number C01 of 201, numbers N01 and N02 of 203, number E01 of the EV hall, number S01 of the south corridor, and number N01 of the north corridor are in the ON state.
  • the visitor prediction area map 90 there is no indication that there are visitors in the common areas (EV hall, south corridor, north corridor).
  • the lighting system is configured to turn on the lights in the common areas when there are people in the rooms, the light switches will be turned on even if there are no people in the common areas.
  • the system may be configured to detect when a person passes by and turn on the light switch to turn on the lights in the common areas, or the person staying in the room may manually turn on the lights in the common areas. In such a case, the light switch will be turned on even if there is no one in the common area. In such a case, the lights in the living room and common areas are on, but the common areas are not actually used as a place to stay.
  • the server 100 determines that the living room is the place to stay, the server 100 does not determine that the common area on the same floor is the place to stay (S102 , S103). Since it is assumed that there are no people in the common areas that are the flow line of people staying in the room, we excluded such common areas from the candidates for staying places to improve the accuracy of predicting where to stay. Improving.
  • FIG. 7 is a flowchart of priority processing.
  • the server 100 extracts data from the visitor prediction table in S201.
  • data 201 and 203 are extracted for the entrance, EV hall, and entrance on the first floor, and on the second floor.
  • the server 100 prioritizes the places to stay in order of their proximity to the floor where the manager's room is located.
  • the manager's office is located on the first floor.
  • priority 1 is the entrance on the first floor
  • priority 2 is the EV hall on the first floor
  • priority 3 is the entrance on the first floor in order of being on the first floor and closest to the manager's room.
  • the server 100 sets a higher priority (order of priority) for the stay location as it is closer to the location where the administrator is (in this example, the administrator's room).
  • a higher priority order of priority
  • it may be configured to use a sensor or the like to detect the location where the administrator is actually located in Building A 10 (for example, the 3rd floor); in this case, priority will be given to the location closest to the detected location (3rd floor). It is also possible to set a ranking.
  • the server 100 counts the number of light switches in each room.
  • the server 100 prioritizes the rooms estimated to be the place of stay in order of area of the rooms, and ends the priority processing.
  • the light switch state in the living room 304 on the third floor is in the ON state, and the number of light switches is 3.
  • the light switch state in room 501 on the fifth floor is in the ON state, and the number of light switches is 2.
  • the area of 304 is estimated to be 3K
  • the area of 501 is estimated to be 2K.
  • the server 100 estimates the area of the living room based on the number of lights installed in the living room. Then, the server 100 sets a higher priority (priority order) for a living room whose interior is determined to be a place of stay, the larger the area of the living room.
  • the server 100 generates notification information including information on the place of stay (the above-mentioned priority order information) and a map image (forecasted visitor area map 90) within Building A 10 showing the place of stay.
  • Server 100 outputs notification information to terminal 400.
  • the terminal 400 displays the notification information received from the server 100 as a notification information image 91 (see FIG. 8 described later).
  • information on the terminal 400 is registered in the server 100 in advance.
  • the e-mail address used by the terminal 400 may be registered in the server 100, and the terminal 400 may receive e-mails from the server 100.
  • the configuration may be configured such that when the URL written in the email is clicked, the server 100 is accessed and the notification information can be displayed on the terminal 400.
  • dedicated resident software may be installed on the terminal 400.
  • the terminal 400 may be configured to be able to receive notification information from the server 100.
  • the terminal 400 can display the notification information.
  • FIG. 8 is a diagram showing an example of the notification information image 91.
  • the notification information image 91 includes the above-described visitor prediction area map 90 and priority information.
  • Terminal 400 displays notification information image 91. As shown in FIG. 8, a predicted visitor area map for the second floor is displayed on the left side of the notification information image 91. The display floor can be switched by the user.
  • images of people are displayed around numbers N01 and N02 of 203 and number C01 of 201, where the lighting switch state is ON. This makes it possible to understand that 201 and 203 are the places of stay. Further, as in the example of FIG. 8, the areas 201 and 203 may be highlighted (for example, displayed in red) in order to emphasize that the areas 201 and 203 are places of stay.
  • the terminal 400 displays information on the places of stay in descending order of priority.
  • the server 100 predicts the place to stay based on the received switch state. You may also do so.
  • the lighting systems 200 and 300 may be connected to an uninterruptible power supply (UPS).
  • UPS uninterruptible power supply
  • the lighting system 200, 300 receives a notification from the UPS indicating that power supply has been switched to the UPS.
  • the lighting systems 200, 300 Upon receiving the notification, the lighting systems 200, 300 transmit a signal to the server 100 indicating that the power supply has been switched to the UPS.
  • the server 100 receives the signal, it does not request the switch state from now on and executes the process when a power outage occurs.
  • the switch state received immediately before receiving the signal becomes the switch state last received from the lighting system 200, 300 (the latest switch state).
  • the server 100 determines that there is a power outage, it executes the power outage processing. In processing when a power outage occurs, the server 100 predicts the place of stay based on the received switch state. The processing after the start of the processing when a power outage occurs is the same as that described in FIG. 2 .
  • a stay location prediction system that predicts the stay location of a person staying in a facility where a power outage has occurred, a processing unit that performs a process of predicting the place of stay; comprising a communication unit that communicates with a lighting system that manages switch states of lighting installed in the facility, The communication unit periodically requests the lighting system to transmit the switch state, A staying place prediction system, wherein the processing unit predicts the staying place based on the received switch state when there is no response from the lighting system to the request.
  • the processing unit determines the place of stay based on the received switch state.
  • the staying place prediction system according to appendix 1, which predicts.
  • the processing unit includes: determining that the facility is in a power outage state if there is no response from the lighting system to the request or if the signal is received by the communication unit; When determining that the power outage is present, extracting the switch state last received from the lighting system as a power outage switch state; Extracting the lighting whose switch state is ON at the time of power outage as the lighting in use, The staying place prediction system according to appendix 2, which predicts that the place where the in-use lighting is installed is the staying place.
  • the facility has living rooms and a common area on the same floor, When the processing unit determines that the living room is the place to stay, the processing unit does not determine that the common area on the same floor is the place to stay, according to any one of Supplementary Notes 1 to 3. Prediction system.
  • the size of the living room can be estimated based on the number of lights. The larger the room, the more people are likely to be staying there, so it is possible to patrol such places with priority.
  • Appendix 6 further comprising a terminal capable of communicating with the communication department and used by an administrator of the facility,
  • the processing unit generates notification information including information about the place of stay and a map image of the facility showing the place of stay,
  • the stay location prediction system according to supplementary note 5, wherein the terminal displays the notification information received from the communication unit.
  • the administrator can quickly grasp the place of stay using the terminal device, so they can efficiently tour the facility.
  • the place of stay includes a first place of stay and a second place of stay that is closer to the place where the manager is than the first place of stay,
  • the processing unit sets a higher priority to the second stay place than the first stay place,
  • the staying place prediction system according to appendix 6, wherein the terminal displays information on the staying places in order of priority.
  • the living room includes a first living room whose interior is determined to be the place to stay, and a second living room whose interior is determined to be the place to stay and whose area is larger than the first living room,
  • the processing unit sets a higher priority to the second living room than the first living room,
  • the stay location prediction system according to appendix 6, wherein the terminal displays information on the rooms in descending order of priority.
  • the facility manager can efficiently confirm the safety of those staying in the facility.

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Abstract

L'invention concerne un processeur (111) qui exécute un traitement de prédiction d'un emplacement de séjour. Une interface de communication (113) communique avec des systèmes d'éclairage (200, 300) pour gérer les états de commutateurs d'appareils d'éclairage installés dans un bâtiment A (10). L'interface de communication (113) demande périodiquement aux systèmes d'éclairage (200, 300) de transmettre les états de commutateurs. Lorsqu'il n'y a pas de réponse à la demande provenant des systèmes d'éclairage (200, 300), le processeur (111) prédit l'emplacement de séjour sur la base des états reçus des commutateurs.
PCT/JP2022/018948 2022-04-26 2022-04-26 Système de prédiction d'emplacement de séjour et procédé de prédiction d'emplacement de séjour WO2023209824A1 (fr)

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PCT/JP2022/018948 WO2023209824A1 (fr) 2022-04-26 2022-04-26 Système de prédiction d'emplacement de séjour et procédé de prédiction d'emplacement de séjour
JP2024517669A JPWO2023209824A1 (fr) 2022-04-26 2022-04-26

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Citations (4)

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Publication number Priority date Publication date Assignee Title
JP2006044844A (ja) * 2004-08-02 2006-02-16 Mitsubishi Electric Building Techno Service Co Ltd エレベーターの運転制御装置
JP2016009336A (ja) * 2014-06-24 2016-01-18 株式会社リコー 伝送システム、伝送管理システム、伝送方法およびプログラム
JP2018142338A (ja) * 2014-02-28 2018-09-13 一般財団法人日本消防設備安全センター 位置特定システム、その装置及び方法
JP2019079278A (ja) * 2017-10-25 2019-05-23 矢崎エナジーシステム株式会社 警報器及び警報システム

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006044844A (ja) * 2004-08-02 2006-02-16 Mitsubishi Electric Building Techno Service Co Ltd エレベーターの運転制御装置
JP2018142338A (ja) * 2014-02-28 2018-09-13 一般財団法人日本消防設備安全センター 位置特定システム、その装置及び方法
JP2016009336A (ja) * 2014-06-24 2016-01-18 株式会社リコー 伝送システム、伝送管理システム、伝送方法およびプログラム
JP2019079278A (ja) * 2017-10-25 2019-05-23 矢崎エナジーシステム株式会社 警報器及び警報システム

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