Elevator and control method of elevator

Abstract

The present application provides an elevator which prevents the spread of droplets caused by a passenger's voice beforehand, thereby maintaining the environment inside the car well and improving the user's sense of security. The elevator which transports a passenger through a car is configured to have a notification unit which performs the notification of information, and the notification unit performs the notification of an autonomous request of voice.

Description

Technical Field

[0001] This invention relates to elevators and elevator control methods. Background Technology

[0002] Since the elevator car is a closed, dense, and closely contacted space, many solutions have been proposed to improve the environment inside the car. For example, Patent Document 1 aims to maintain a good environment inside the car by "providing an odor detector 12 for detecting odors inside the elevator car and a ventilation device 6 for ventilating the elevator car based on the signal obtained from the odor detector 12".

[0003] Existing technical documents

[0004] Patent documents

[0005] Patent Document 1: Japanese Patent Application Publication No. 11-263559 Summary of the Invention

[0006] The problem that the invention aims to solve

[0007] In the enclosed, dense, and closely-contact space of an elevator car, if a user makes a sound, infectious diseases or viruses may spread through droplets, potentially worsening the environment inside the car and causing the user to feel uneasy.

[0008] As a countermeasure to improve the environment inside the car after it has deteriorated, a method similar to that in Patent Document 1 has been proposed, but no preventive measures have been taken to prevent the environment inside the car from deteriorating before it does.

[0009] The purpose of this invention is to maintain a good environment inside the elevator car and improve users' sense of security by preventing the spread of droplets caused by the noise of elevator passengers.

[0010] Furthermore, the above-mentioned and other objectives of the present invention, as well as the novel features of the present invention, become clear from the description and drawings herein.

[0011] Methods for solving problems

[0012] To address the aforementioned issues, for example, a structure described in the scope of the patent claim may be adopted.

[0013] The elevator of the present invention is an elevator that transports passengers by car, and is equipped with a notification unit for notifying information, which notifies the automatic request to be made by audible sound.

[0014] Furthermore, the elevator control method of the present invention is a method for controlling an elevator that transports passengers through a car, wherein the elevator is equipped with a notification unit for notifying information, and the notification unit is controlled to issue an autonomous request for sounding.

[0015] Invention Effects

[0016] According to the present invention described above, since the notification unit notifies the autonomous request for sound emission, it is possible to prevent the spread of droplets caused by the sound emission of elevator passengers in advance, thereby maintaining a good environment in the elevator car and improving the user's sense of security.

[0017] Furthermore, the issues, structures, and effects other than those described above will be clarified through the following description of the implementation methods. Attached Figure Description

[0018] Figure 1 This is a schematic structural diagram (system structure diagram) of the elevator according to the first embodiment.

[0019] Figure 2 This is a schematic structural diagram of an example of an input device and an output device connected to the car in the elevator of the first embodiment.

[0020] Figure 3 This is an example of the display content showing the automatic notification request from the station notification department and the timing of the cleaning operation inside the elevator car.

[0021] Figure 4 This is an example of what is displayed when the floor station notification department informs passengers about the ongoing cleaning operation in the car and the remaining time of the cleaning operation.

[0022] Figure 5 This is a diagram representing an example of specific data from the log.

[0023] Figure 6 This diagram shows an example of what is displayed when the in-car guidance display notifies the in-car cleaning operation and the remaining time of the in-car cleaning operation.

[0024] Figure 7 This is a flowchart illustrating an example of overall control in the method for controlling an elevator according to the first embodiment.

[0025] Figure 8 This is an explanation Figure 7 The flowchart details the process of the S700 layer station notification.

[0026] Figure 9 This is an explanation Figure 7 A flowchart detailing the new passenger detection process in step S701.

[0027] Figure 10 This is an explanation Figure 7 The flowchart details the broadcast processing of step S702.

[0028] Figure 11 This is an explanation Figure 7 The flowchart details the process of detecting and handling individuals with abnormal body temperature in step S703.

[0029] Figure 12 This is an explanation Figure 7 The flowchart details the sound detection process in step S704.

[0030] Figure 13 This is an explanation Figure 7 The flowchart below details the log processing steps in step S705.

[0031] Figure 14 This is an explanation Figure 7 The flowchart below details the cleaning operation process inside the car in step S706.

[0032] Figure 15 This is a flowchart illustrating a specific example of decision-making and processing in broadcasting.

[0033] Figure 16 This is a schematic structural diagram (system structure diagram) of the elevator according to the second embodiment. Detailed Implementation

[0034] The following describes in detail, based on the article or accompanying drawings, embodiments of the present invention.

[0035] However, the structures, materials, and other specific configurations shown in this invention are not limited to the embodiments described herein, and can be appropriately combined and modified without changing the main idea. Furthermore, elements not directly related to this invention are omitted from the illustrations.

[0036] Furthermore, in each embodiment, the same symbols are used to mark the same constituent elements, and repeated descriptions of the same constituent elements are omitted.

[0037] <First Implementation>

[0038] [Elevator Structure]

[0039] Figure 1 This is a schematic structural diagram (system structure diagram) of the elevator according to the first embodiment.

[0040] like Figure 1 As shown, the elevator 1 in the first embodiment includes one or more elevator number machines 110 (110-1 to 110-n), an operation management system 100, a call registration department 101, and a floor notification department 102.

[0041] That is, the elevator 1 in this embodiment has n elevator machines 110, from machine 110 to machine 1 to n-n.

[0042] The operation management system 100 is connected to each elevator number 110-1 to 110-n, the call registration department 101, and the floor notification department 102.

[0043] The operation management system 100 receives service requests from the call registration department 101 and outputs control commands to elevator number machines 110 (110-1 to 110-n).

[0044] Elevator unit 110 has the function of receiving control commands from the operation management system 100 and actually operating it. For example, the electric motor of the traction machine, the braking mechanism of the traction machine, and the electric motor for opening and closing the doors of elevator unit 110 operate according to the control commands from the operation management system 100.

[0045] Call registration department 101 and floor station notification department 102 are located on each floor station floor.

[0046] The operation management system 100 includes an elevator allocation unit 100a, which, upon receiving a service request from the call registration unit 101 of a floor, allocates an elevator number 110 to that floor for service. Furthermore, the operation management system 100 controls the notification content displayed on the floor notification unit 102.

[0047] Each elevator number 110 (110-1 to 110-n) is equipped with a car 111, and the car 111 has a car door that can be opened and controlled freely (illustration omitted).

[0048] In addition, input devices 120 and output devices 130 are connected to the car 111 of each elevator number 110.

[0049] exist Figure 1 In the elevator 1 shown, the input device 120 includes a load detection unit 121, a sound detection unit 122, and an abnormal body temperature holder detection unit 123, and the output device 130 includes a sound output unit 131, an in-car guidance display unit 132, a fan 133, and an ultraviolet irradiation unit 134.

[0050] Figure 2 This is a schematic structural diagram of an example of an input device 120 and an output device 130 connected to the car 111 in the elevator 1 system of this embodiment.

[0051] like Figure 2 As shown, the elevator car 111 in which the passenger (user) U rides is equipped with a load detection unit 121, a sound detection unit 122, and an abnormal body temperature holder detection unit 123 that constitute the input device 120.

[0052] In addition, the car 111 is equipped with a sound output unit 131 constituting the output device 130, a car guide display unit 132, a fan 133, and an ultraviolet irradiation unit 134.

[0053] like Figure 1 As shown, each elevator number 110 is connected to the building management system 140 and outputs data to the building management system 140.

[0054] The landing notification unit 102 is equivalent to a notification unit that sends out information. Based on control commands received from the operation management system 100, it sends out various information. Thus, it notifies passengers (users) of elevator 1 at each landing.

[0055] The floor notification unit 102, for example, is a display unit or a speaker, and implements notifications based on display or sound.

[0056] In this embodiment, the floor notification unit 102 notifies the autonomous content of the request for sounding, the implementation time of the cleaning operation in the car, the content of the cleaning operation in the car, and the remaining time of the cleaning operation in the car.

[0057] Here, for example, in Figure 3 The image shows examples of the automatic notification request issued by the floor notification unit 102 and the display content when cleaning operations are being carried out inside the car.

[0058] exist Figure 3 In the middle, the floor station notification department 102 is notifying the autonomous system of the request for sound and the message "Please control the sound inside the elevator" and the cleaning time of the four elevator cars (A, B, C, and D).

[0059] in addition, Figure 4 An example is shown of the display content when the floor notification unit 102 notifies the car cleaning operation of the status and the remaining time of the car cleaning operation.

[0060] Figure 4 In the middle, the floor notification department 102 is issuing a notification message "Cleaning in progress, please use another elevator" and indicating whether cleaning is being carried out in the car of the four elevators (A, B, C, D) and the time until cleaning is completed for elevator (A).

[0061] In addition, each elevator machine 110 stores the conditions for deactivating sound detection for loud noises, coughs, and sneezes. When these conditions are met, the detection of these sounds is deactivated. For example, deactivation conditions might include responding to all service requests registered during the detection. The detection of loud noises, coughs, and sneezes will be explained later.

[0062] Furthermore, each elevator unit 110 is equipped with a passenger determination unit 112, a guidance display instruction unit 113, a sound signal processing unit 114, an abnormal body temperature holder detection and processing unit 115, a broadcast processing unit 116, a log processing unit 117, and a cleaning operation processing unit 118. These units 112 to 118 are connected via a bus 119 and exchange information with each other.

[0063] [Passenger Determination Department 112]

[0064] The passenger determination unit 112 detects passengers inside the elevator car 111. More specifically, the passenger determination unit 112 performs new passenger detection and full occupancy detection within the current elevator car 111. These new passenger detections and full occupancy detections are based on the load value input to the elevator number machine 110 from the load detection unit 121. The load value input to the elevator number machine 110 from the load detection unit 121 is, for example, the ratio of the current load of the elevator car 111 to the rated load of the elevator number machine 110.

[0065] Furthermore, new passenger detection is performed by comparing the difference between the maximum and minimum load values ​​during door opening with a pre-set new passenger determination threshold. For example, when the maximum load value input from the load detection unit 121 to the elevator number machine 111 during door opening is 40% and the minimum load value is 20%, the difference between the maximum and minimum load values ​​during door opening is 20%. With a new passenger determination threshold of 8%, the passenger determination unit is set to detect a new passenger.

[0066] In addition, full occupancy detection is performed by comparing the load value during door opening with the full occupancy threshold. For example, if the load value input from the load detection unit 121 to elevator number 111 during door opening is 40%, the passenger determination unit 112 will not detect full occupancy if the full occupancy threshold is 80%.

[0067] The passenger determination unit 112 can also make determinations using methods other than load values.

[0068] For example, it could also be a method of analyzing images obtained from cameras installed in the car and extracting passenger information to determine the number of passengers, or a method of using the detection results of human sensors to detect whether there are people as input.

[0069] Alternatively, the determination can be made based on the value of the image information obtained by the camera after binarization, or based on the distance image information obtained by the 3D camera, according to the value of the unexposed ground area occupying the ground area of ​​the car 111.

[0070] Alternatively, the passenger determination unit 112 may be configured outside the elevator number machine 110.

[0071] [Boot Display Command Section 113]

[0072] The guidance display instruction unit 113 controls the screen display of the in-car guidance display unit 132 of the output device 130. For example, it displays instructions such as the floor information of the building where the car 111 is currently located, the elevator's up (UP) service, down (DOWN) service, and other information (weather, today's date).

[0073] In addition, the guidance display command unit 113 displays instructions to notify the user of an earthquake and to continue special operation in case of emergencies such as earthquakes.

[0074] Furthermore, the guidance display instruction unit 113 displays the following information: the content of the request for automatic sound emission, the current status of the cleaning operation in the car, the remaining time of the cleaning operation in the car, and the start time of the cleaning operation in the car.

[0075] [Sound Signal Processing Unit 114]

[0076] The sound signal processing unit 114 is used to process the sound signal sent from the sound detection unit 122, and includes a sound signal receiving unit 114a and a sound signal parsing unit 114b.

[0077] The sound signal receiving unit 114a receives a sound signal from the sound detection unit 122.

[0078] The sound signal analysis unit 114b analyzes the sound signal input to the sound signal receiving unit 114a and detects speech based on the analysis results. Speech includes phonation, loud talking, coughing, sneezing, gagging, clearing the throat, etc.

[0079] For example, Japanese Patent Application Publication No. 2013-160937 (hereinafter referred to as Reference 1) discloses the following structure: For the purpose of detecting speech, a speech / non-speech discrimination value calculation unit calculates different discrimination values ​​in the speech / non-speech intervals using feature quantities based on the input speech spectrum, and identifies speech / non-speech by comparing the discrimination values ​​with a pre-set threshold. Based on the method of Reference 1, speech can be detected by comparing the frequency-analyzed sound signal with a speech reference signal, and loud speech can be detected by determining that the sound pressure level of the speech exceeds a threshold.

[0080] For example, Japanese Patent Application Publication No. 2018-117708 (hereinafter referred to as Reference 2) discloses a structure in which a sound detection unit outputs a time-series sound signal as speech information for the purpose of detecting cough, and a cough detection unit performs frequency analysis on the time-series sound signal output from the sound detection unit, and detects cough sounds based on the analysis results. Based on the method of Reference 2, cough can be detected by comparing the frequency-analyzed sound signal with a cough reference signal; therefore, sneezing can also be detected through specific frequency analysis.

[0081] Furthermore, the function of analyzing the sound signal detected by the sound detection unit 122 and detecting sound based on the analysis result can also be attached to the input device 120. In this case, the result of analyzing the sound signal, that is, the result of detecting speech (voice, loud voice, cough, sneeze, gag, throat clearing, etc.), is input from the input device 120 to the elevator number machine 110.

[0082] [Abnormal Body Temperature Detection and Processing Department 115]

[0083] The abnormal body temperature holder detection and processing unit 115 is used to determine the abnormal body temperature holder, and has an image analysis result receiving unit 115a and an abnormal body temperature holder determination unit 115b.

[0084] The image analysis result receiving unit 115a inputs the image analysis result from the abnormal body temperature maintainer detection unit 123.

[0085] The abnormal body temperature holder determination unit 115b determines whether there is an abnormal body temperature holder in the car 111 based on the image analysis results input to the image analysis result receiving unit 115a.

[0086] [Broadcast Processing Department 116]

[0087] The broadcast processing unit 116 is used to perform broadcast processing of the sound output unit 131, and includes a broadcast information holding unit 116a, a broadcast instruction unit 116b, and a broadcast determination unit 116c.

[0088] The broadcast information holding unit 116a holds the playback time, start conditions, etc. of each broadcast. For example, in guiding the closing action of the elevator before it closes during normal use, if the playback time required for the broadcast is 2 seconds, the playback time is set to 2 seconds, and the start condition is set to the elevator closing command.

[0089] The broadcast instruction unit 116b outputs a broadcast instruction based on the information held by the broadcast information holding unit 116a, and controls the sound output unit 131.

[0090] The broadcast determination unit 116c determines whether the car 111 is currently broadcasting. Specifically, after the broadcast start conditions are met, it determines whether it is broadcasting by determining whether the playback time of the broadcast held by the broadcast information holding unit 116a has elapsed.

[0091] [Log Processing Department 117]

[0092] The log processing unit 117 performs log control processing and includes a log recording unit 117a and a log output unit 117b.

[0093] The log recording unit 117a records information about the elevator 1 based on information input from the input device 120. For example, when the abnormal body temperature holder detection unit 123 detects an abnormal body temperature holder, it records "time", "elevator number 110 identification number", "floor where the floor call occurred", "floor where the destination floor registration occurred", "identification number of the connected in-car camera (e.g., IP address, port number)", "error code", "number of log entries", etc. The log processing unit 117 can record personal IDs if it can identify the personal IDs of passengers in the car, and can also set other items as needed.

[0094] If the log is recorded in the log recording unit 117a, the elevator log output unit 117b outputs the log to the building management system 140.

[0095] Here, Figure 5 An example of specific data from the log is shown.

[0096] like Figure 5 As shown, the log records include the log number, time, ID (elevator identification number), floor (Hall FL), destination floor (Dest FL), user ID (USER ID), camera (camera identification number), error (Err (error code)), and alarm (whether there is a warning).

[0097] [Cleaning Operations and Processing Department 118]

[0098] The cleaning operation processing unit 118 is used to control the cleaning operation inside the car 111 (hereinafter also referred to as "car cleaning operation"), and has a cleaning operation control unit 118a and a cleaning operation instruction unit 118b.

[0099] The cleaning operation control unit 118a maintains information related to the control of each cleaning operation and determines the start conditions, controls, and ends conditions for the cleaning operation. For example, the start conditions for a cleaning operation include the elevator machine 110 completing a service request at a floor and inside the car, and a certain amount of time elapsed since no other requests have been received. Here, if the start conditions are met, the cleaning operation can be forcibly stopped at the nearest floor. In the control of the cleaning operation, when an opening command is output and the opening is detected, a start command is given to the fan 133 for a certain period of time, or a command is given to the ultraviolet irradiation unit 134 for a certain period of time while the door is closing. When implementing this control, for service requests from other floors, the elevator machine 110 can be excluded from service requests or its service can be retained during the control process. The end condition for a cleaning operation includes a certain amount of time elapsed after the output command.

[0100] Based on the control of the cleaning operation control unit 118a, the cleaning operation command unit 118b outputs control commands to the corresponding output device 130.

[0101] The car cleaning operation has more than one mode. For example, it may have three modes: car cleaning operation (strong), car cleaning operation (medium), and car cleaning operation (weak), with car cleaning operation (strong) having the highest priority and car cleaning operation (weak) having the lowest priority. However, in order to perform car cleaning operations regularly, it is preferable to have more than one mode that determines the regular start conditions.

[0102] For example, the car cleaning operation (strong) uses the detection of an individual with an abnormal body temperature and the detection of sneezing or coughing as activation conditions. If the activation conditions are met, the system will forcibly stop at the nearest floor, exclude elevator number 110 from service, close the door of car 111, and activate the ultraviolet irradiation unit 134. The end condition for this operation is set to the completion of the operation within 2 minutes.

[0103] The car cleaning operation (strong) is the highest priority mode in the car cleaning operation, and therefore, it assumes a significant deterioration of the car environment as the activation condition. Moreover, in order to implement this control immediately and for a specified period of time, the car 111 is forcibly stopped at the nearest floor, and removed from service for a period of 2 minutes.

[0104] For example, the cleaning operation inside the car (in progress) will use the detection of a sneeze or cough and the completion of a service request after a certain period of time as the start condition, exclude elevator number 110 from the service list, and open the door of car 111 and activate fan 133 as the control content. The end condition for this operation is the completion of the operation within 1 minute, etc.

[0105] The car cleaning operation (medium) is a mode that takes priority over the car cleaning operation (weak). It is activated under the assumption that the car environment deteriorates. This control must be performed for a specified period of time, so the car 111 is excluded from service for 1 minute.

[0106] For example, the car cleaning operation (weak) uses the elapsed time of the periodic cleaning timer and the completion of responding to a service request after a certain period of time as the start condition, and opens the car door 111 to activate the fan 133 as the control content. Here, the periodic cleaning timer is, for example, a timer that counts for 1 hour, and is reset when the car cleaning operation (weak) ends. The end condition for this operation is set to the completion of the operation within 1 minute or the generation of a service request, etc.

[0107] The cleaning operation inside the car (weak) is started periodically, with a certain amount of time elapsed as the start condition. In order to take priority over the control, it responds to service requests and continues until 1 minute has elapsed or a service request is generated.

[0108] In addition, in the above descriptions of cleaning operation (strong) and cleaning operation (medium) inside the car, the starting conditions include detecting sneezing or coughing, but as described later, the detection of at least one of sneezing, coughing, loud noise, or vocalization may also be used as the starting conditions.

[0109] <Input Device 120>

[0110] The input device 120 is a device that connects to each car 111 and inputs information, and includes a load detection unit 121, a sound detection unit 122, and an abnormal body temperature maintainer detection unit 123.

[0111] [Load Detection Unit 121]

[0112] The load detection unit 121 detects the load value applied to the car 111 by passengers or goods riding in the car, and sends the detected load value to the elevator machine 111.

[0113] As for the load detection unit 121, there are methods for detecting load values, such as detecting load values ​​based on the difference caused by the expansion and contraction of a spring, or detecting load values ​​based on the difference caused by the expansion and contraction of rubber.

[0114] exist Figure 2 In the example shown, the load detection unit 121 is located below the car 111 and detects the load value based on the difference caused by the extension and contraction of the spring.

[0115] [Sound Detection Department 122]

[0116] The sound detection unit 122 detects sound information inside the car 111. This sound information includes sounds produced through speech (vocalization, loud noise, coughing, sneezing, gagging, throat clearing, etc.). Here, a human voice whose sound pressure level exceeds the loud noise threshold is defined as loud. For example, by setting a directional microphone or similar device to detect only sounds within the car's direction, sound information inside the car 111 can be detected.

[0117] exist Figure 2 In the example shown, the sound detection unit 122 is located on the left side (entrance / exit side) inside the car 111.

[0118] [Abnormal Body Temperature Detection Department 123]

[0119] The abnormal body temperature holder detection unit 123 is used to detect passengers with abnormal body temperature and includes a thermal camera 123a and an image analysis device 123b.

[0120] The thermal camera 123a captures images and thermal images.

[0121] The image analysis device 123b measures the body surface temperature of passengers within its field of view by analyzing the images and thermal images captured by the thermal camera 123a. Furthermore, if an individual with an abnormal body temperature is detected, the image analysis device 123b notifies the elevator number machine 110 that an abnormal body temperature has been detected.

[0122] exist Figure 2 In the example shown, the abnormal body temperature maintainer detection unit 123 is located in the upper left part of the car 111.

[0123] For example, the body temperature screening system described in the Japan Nondestructive Testing Industry Association (JNDTA), No. 115, June 30, 2003 (hereinafter referred to as Reference 3), can accurately determine the face of a person reflected in the camera through deep learning and measure only the surface temperature of the subject. Based on the method of Reference 3, the elevator 1 of this embodiment can notify the system administrator of the detection of an abnormal body temperature holder when an abnormal body temperature holder is detected.

[0124] <Output Device 130>

[0125] The output device 130 is a device connected to and controlled by each car 111, and includes a sound output unit 131, a car in-car guidance display unit 132, a fan 133, and an ultraviolet irradiation unit 134.

[0126] Furthermore, the sound output unit 131 and the in-car guidance display unit 132 function as notification units, delivering information through voice and image displays. Thus, information is communicated to the passengers (users) of elevator 1 within the car 111.

[0127] [Sound Output Section 131]

[0128] The sound output unit 131 receives a playback command from the broadcast command unit 116b and outputs playback content corresponding to the received playback command through a sound output medium. The sound output medium may include a speaker, etc. The broadcast content may include, for example, a notification to the user before the elevator doors close, such as "Door closed," during normal use.

[0129] Alternatively, the broadcast instruction unit 116b may maintain the playback content, instruct the sound output unit 131 to play the playback content, and the sound output unit 131 may output the received playback content through the sound output medium.

[0130] exist Figure 2 In the example shown, the sound output unit 131 is located on the left side (entrance / exit side) inside the car 111.

[0131] [In-car guidance display unit 132]

[0132] Based on the instructions of the guidance display command unit 113, the in-car guidance display unit 132 informs passengers in the car 111 of various information related to the operation of elevator machine 110. For example, when elevator machine 110 is traveling upwards on the 10th floor, it displays "10" and shows an upward "↑" indicator. Display media include LCD panels, LED indicators, projectors projecting onto walls, and electronic paper.

[0133] Furthermore, the in-car guidance display unit 132 may display instructions such as: requesting the user to exercise self-control over the sound, indicating that the in-car cleaning operation is currently underway, the remaining time of the in-car cleaning operation, and the start time of the in-car cleaning operation.

[0134] exist Figure 2 In the example shown, the in-car guidance display 132 is located on the left side (entrance / exit side) inside the car 111.

[0135] Here, Figure 6 An example of the content displayed when the in-car guidance display unit 132 notifies the in-car cleaning operation and the remaining time of the in-car cleaning operation.

[0136] like Figure 6 As shown, the guidance display unit 132 inside the car displays "Cleaning in progress, please use another elevator" and "2 minutes until cleaning is completed".

[0137] [Fan 133]

[0138] The fan 133 operates based on the instructions of the cleaning operation command unit 118b to ventilate the car 111. During ventilation, the door of the car 111 is opened.

[0139] exist Figure 2 In the example shown, fan 133 is located in the upper right part of car 111.

[0140] [Ultraviolet Irradiation Section 134]

[0141] The ultraviolet irradiation unit 134 operates based on the instructions of the cleaning operation command unit 118b, irradiating ultraviolet light into the car 111 to disinfect the car 111.

[0142] exist Figure 2 In the example shown, the ultraviolet irradiation unit 134 is located in the upper right part of the car 111.

[0143] [Building Management System 140]

[0144] The building management system 140 manages building equipment such as surveillance cameras by referring to the logs output from the log output unit 117b. For example, by confirming the images of the surveillance cameras that correspond to the logs output from the log output unit 117b, it is possible to identify individuals with abnormal body temperature and to identify people who have been in contact with them.

[0145] (Elevator control method according to the first embodiment)

[0146] Next, refer to Figure 7 The method for controlling elevator 1 in this embodiment will be described.

[0147] Figure 7 This is a flowchart illustrating an example of the overall control in the method for controlling elevator 1 according to this embodiment.

[0148] Figure 7 The control flows shown in the flowchart are started at predetermined time intervals.

[0149] [Step S700]

[0150] Figure 7 In the flowchart shown, firstly, in step S700, the operation management system 100 and the floor station notification unit 102 perform floor station notification processing, proceeding to step S701. Details of the floor station notification processing are as follows... Figure 8 The steps S800 to S801 will be explained.

[0151] [Step S701]

[0152] In step S701, the passenger determination unit 112 and others perform new passenger detection processing, and proceed to step S702. Details of the new passenger detection processing are as follows... Figure 9 The steps S900 to S903 are explained.

[0153] [Step S702]

[0154] In step S702, the broadcast processing unit 116 and others perform broadcast processing, and proceed to step S703. Details of the broadcast processing are as follows... Figure 10 The steps S1000 to S1003 are explained.

[0155] [Step S703]

[0156] In step S703, the abnormal body temperature maintainer detection and processing unit 115 performs abnormal body temperature maintainer detection and processing, and then proceeds to step S704. Details of the abnormal body temperature maintainer detection and processing are as follows: Figure 11 The steps S1100 to S1103 will be explained.

[0157] [Step S704]

[0158] In step S704, the sound signal processing unit 114 and the like perform sound detection processing, and then proceed to step S705. Figure 12 The details of the sound detection and processing are explained in steps S1200 to S1211.

[0159] [Step S705]

[0160] In step S705, the log processing unit 117 and others perform log processing, and the process proceeds to step S706. Details of the log processing are as follows... Figure 13 The steps S1300 to S1302 are explained.

[0161] [Step S706]

[0162] In step S706, the cleaning operation processing unit 118 and the like perform cleaning operation processing inside the car. Details of the cleaning operation processing inside the car are as follows... Figure 14 The steps S1400 to S1430 are explained.

[0163] Next, refer to Figure 8 The flowchart shown below provides a detailed explanation. Figure 7 Step S700 is the layer station notification processing.

[0164] [Step S800]

[0165] exist Figure 8 In the flowchart shown, firstly, in step S800, the operation management system 100 determines whether a service request has been input from the layer station.

[0166] Then, if it is determined that a service request has been entered from the layer station (yes), proceed to step S801; if it is determined that no service request has been entered (no), end the layer station notification process.

[0167] [Step S801]

[0168] In step S801, according to the control command from the operation management system 100 to the floor notification unit 102, the floor notification unit 102 performs a voice-activated automatic guidance display and ends the floor notification process.

[0169] Floor notification unit 102 provides guidance to users regarding self-discipline in controlling their voice activity, displaying this as a voice self-discipline guidance message. For example, it may display or provide voice guidance such as "Please control your voice activity in the elevator."

[0170] Next, refer to Figure 9 The flowchart shown illustrates... Figure 7 The details of the new passenger detection process in step S701.

[0171] [Step S900]

[0172] exist Figure 9 In the flowchart shown, firstly, in step S900, the elevator numbering machine 110 determines whether the elevator numbering machine 110 is open. This determination may be performed, for example, in a processing unit (not shown) within the elevator numbering machine 110.

[0173] Furthermore, if the door is determined to be open (yes), proceed to step S901; if the door is determined not to be open (no), end the new passenger detection process.

[0174] Updates regarding the presence or absence of new passengers are only made when the doors open.

[0175] In addition, in this embodiment, the new passenger detection process is not limited to when the door is opened.

[0176] [Step S901]

[0177] In step S901, the passenger determination unit 112 compares the difference between the maximum and minimum values ​​of the load inside the car during door opening with the new passenger determination threshold.

[0178] If the difference is determined to exceed the new passenger determination threshold (yes), proceed to step S902; if it is determined not to exceed the threshold (no), proceed to step S903.

[0179] In addition, step S901 represents a comparison method for detecting new passengers based on the load value inside the car. In the case of detecting new passengers by means of a camera or a human sensor or based on the detected area of ​​the ground not exposed, the comparison is performed as follows instead of step S901.

[0180] When new passengers are detected using cameras or human sensors, the difference between the maximum and minimum number of people detected during door opening is compared with the number of new passengers determined.

[0181] When detecting new passengers based on the detected area of ​​unexposed ground, the difference between the maximum and minimum values ​​of the unexposed area is compared with the new passenger determination threshold.

[0182] [Step S902]

[0183] In step S902, the passenger determination unit 112 determines that a new passenger has been detected and ends the new passenger detection process.

[0184] [Step S903]

[0185] In step S903, the passenger determination unit 112 cancels the new passenger detection and ends the new passenger detection process.

[0186] Next, refer to Figure 10 The flowchart shown below provides a detailed explanation. Figure 7 The broadcasting process in step S702.

[0187] [Step S1000]

[0188] exist Figure 10 In the flowchart shown, firstly, in step S1000, the passenger determination unit 112 compares the load value inside the car with the full occupancy determination threshold.

[0189] If the load value inside the car is determined to exceed the full passenger threshold (yes), proceed to step S1001; if the load value is determined not to exceed the full passenger threshold (no), proceed to step S1002.

[0190] In addition, step S1000 represents a comparison method for detecting full occupancy based on the load value inside the car. Instead of step S1000, the comparison is performed as described below when full occupancy is detected by a camera or human sensor or based on the detected area of ​​the ground not exposed.

[0191] When full occupancy is detected using cameras or human sensors, the number of people detected is compared with the number of people deemed to be at full capacity.

[0192] When detecting full occupancy based on the area of ​​the ground not exposed, the detected area of ​​the ground not exposed is compared with the full occupancy threshold.

[0193] [Step S1001]

[0194] In step S1001, the broadcast instruction unit 116 of the broadcast processing unit 116 outputs a broadcast instruction, and based on the broadcast instruction, plays a broadcast informing passengers that the car 111 is full. This broadcast is performed at the sound output unit 131 of the output device 130 of the car 111 or at the landing notification unit 102.

[0195] Furthermore, when a notification is received from the in-car guidance display unit 132, an image indicating that the car is full is displayed on the in-car guidance display unit 132.

[0196] [Step S1002]

[0197] In step S1002, the passenger determination unit 112 determines whether a new passenger has been detected. If a new passenger has been detected (yes), the process proceeds to step S1003. If no new passenger has been detected (no), the broadcasting process ends.

[0198] Figure 10 The broadcast process shown in the flowchart is in the form of determining whether a new passenger is detected in step S1002, and performing broadcast processing after step S1002 if a new passenger is detected.

[0199] In this embodiment, the broadcast processing is not limited to the case of detecting a new passenger.

[0200] [Step S1003]

[0201] In step S1003, the elevator number machine 110 determines whether it has closed its doors and is ready to depart. This determination may be performed, for example, in a processing unit (not shown) within the elevator number machine 110.

[0202] Then, if it is determined that the door is closed (yes), proceed to step S1004; if it is determined that the door is not closed (no), end the broadcast process.

[0203] Figure 10 The broadcast process shown in the flowchart is the form of determining whether the door closing is complete in step S1003.

[0204] In this embodiment, the broadcast processing is not limited to the case where the door is closed.

[0205] [Step S1004]

[0206] In step S1004, based on the instruction from the broadcast instruction unit 116 of the broadcast processing unit 116, the sound output unit 131 of the output device 130 of the car 111 plays a broadcast of the content of the self-regulatory request to notify the passengers, and the broadcast processing ends.

[0207] In addition, when a notification is issued by the in-car guidance notification unit 132, the in-car guidance display unit 132 displays an image of the content of the autonomous request for the notification sound.

[0208] Next, use Figure 11 illustrate Figure 7 A specific example of step S703 is shown.

[0209] Next, refer to Figure 11 The flowchart shown below provides a detailed explanation. Figure 7 Step S703: Detection and treatment of individuals with abnormal body temperature.

[0210] [Step S1100]

[0211] exist Figure 11 In the flowchart shown, firstly, in step S1100, the passenger determination unit 112 determines whether a new passenger has been detected. If it is determined that a new passenger has been detected (yes), the process proceeds to step S1101. If it is determined that no new passenger has been detected (no), the process proceeds to step S1103.

[0212] Figure 11 The abnormal body temperature holder detection process shown in the flowchart is the process of determining whether a new passenger has been detected in step S1100.

[0213] In this embodiment, the abnormal body temperature holder detection process is not limited to the detection of new passengers.

[0214] [Step S1101]

[0215] In step S1101, the abnormal body temperature holder detection processing unit 115 determines whether a passenger with a body temperature above a threshold has been detected. This determination is based on whether the abnormal body temperature holder detection unit 123 has detected an abnormal body temperature holder.

[0216] Furthermore, if a passenger with a body temperature above the threshold is detected (yes), proceed to step S1102; if no passenger is detected (no), proceed to step S1103.

[0217] [Step S1102]

[0218] In step S1102, the abnormal body temperature maintainer detection processing unit 115 determines that an abnormal body temperature maintainer has been detected and ends the abnormal body temperature maintainer detection processing.

[0219] [Step S1103]

[0220] In step S1103, the abnormal body temperature maintainer detection processing unit 115 releases the abnormal body temperature maintainer detection and ends the abnormal body temperature maintainer detection processing.

[0221] Next, refer to Figure 12 The flowchart shown is for Figure 7 The details of the sound detection processing in step S704 are explained below.

[0222] [Step S1200]

[0223] exist Figure 12 In the flowchart shown, firstly, in step S1200, the broadcast determination unit 116c of the broadcast processing unit 116 determines whether it is broadcasting. If it is determined that it is not broadcasting (yes), the process proceeds to step S1201; if it is determined that it is broadcasting (no), the process proceeds to step S1210.

[0224] Additionally, later use Figure 15 Please provide a detailed explanation of whether the determination is made during broadcast.

[0225] [Step S1201]

[0226] In step S1201, the sound signal analysis unit 114b of the sound signal processing unit 114 analyzes the sound signal and proceeds to step S1202.

[0227] [Step S1202]

[0228] In step S1202, the sound signal analysis unit 114b compares the similarity between the analyzed sound signal and the sneezing reference signal with a threshold. If it is determined that the similarity exceeds the threshold (yes), the process proceeds to step S1203; if it is determined that the similarity does not exceed the threshold (no), the process proceeds to step S1204.

[0229] [Step S1203]

[0230] In step S1203, the sound signal analysis unit 114b determines that a sneeze has been detected and proceeds to step S1210.

[0231] [Step S1204]

[0232] In step S1204, the sound signal analysis unit 114b compares the similarity between the analyzed sound signal and the cough reference signal with a threshold. If it is determined that the similarity exceeds the threshold (yes), the process proceeds to step S1205; if it is determined that the similarity does not exceed the threshold (no), the process proceeds to step S1206.

[0233] [Step S1205]

[0234] In step S1205, the sound signal analysis unit 114b determines that a cough has been detected and proceeds to step S1210.

[0235] [Step S1206]

[0236] In step S1206, the sound signal analysis unit 114b compares the similarity between the analyzed sound signal and the sound reference signal with a threshold. If it is determined that the similarity exceeds the threshold (yes), the process proceeds to step S1207; if it is determined that the similarity does not exceed the threshold (no), the process proceeds to step S1210.

[0237] [Step S1207]

[0238] In step S1207, the sound signal analysis unit 114b compares the sound pressure of the analyzed sound signal with the loudness determination threshold. If it is determined that the sound pressure exceeds the loudness determination threshold (Yes), the process proceeds to step S1208; if it is determined that the sound pressure does not exceed the loudness determination threshold (No), the process proceeds to step S1209.

[0239] [Step S1208]

[0240] In step S1208, the sound signal analysis unit 114b determines that a loud noise has been detected and proceeds to step S1210.

[0241] [Step S1209]

[0242] In step S1209, the sound signal analysis unit 114b determines that sound has been detected and proceeds to step S1210.

[0243] [Step S1210]

[0244] In step S1210, the sound signal processing unit 114 determines whether the sound detection release condition is met. If the sound detection release condition is met (yes), the process proceeds to step S1211; if the sound detection release condition is not met (no), the sound detection processing ends.

[0245] [Step S1211]

[0246] In step S1211, the sound signal processing unit 114 deactivates the detection of vocalization, loud noise, coughing, and sneezing, and ends the sound detection processing.

[0247] Next, refer to Figure 13 The flowchart shown is for Figure 7 The details of log processing in step S705 will be explained.

[0248] [Step S1300]

[0249] exist Figure 13 In the flowchart shown, firstly, in step S1300, the abnormal body temperature maintainer detection processing unit 115 determines whether an abnormal body temperature maintainer has been detected. This determination is based on whether an abnormal body temperature maintainer has been detected by the abnormal body temperature maintainer detection unit 123. Then, if it is determined that an abnormal body temperature maintainer has been detected (yes), the process proceeds to step S1301; if it is determined that no abnormal body temperature maintainer has been detected (no), the log processing ends.

[0250] Here, the determination in step S1300 can also be set as a condition other than the abnormal body temperature holder detection. For example, at least one of the sneezing detection performed in step S1203, the cough detection performed in step S1205, the loud noise detection performed in step S1208, and the vocalization detection performed in step S1209 can be used as the determination condition.

[0251] [Step S1301]

[0252] In step S1301, the log recording unit 117a of the log processing unit 117 records the log, and then proceeds to step S1302.

[0253] [Step S1302]

[0254] In step S1302, the log output unit 117b of the log processing unit 117 outputs the log and ends the log processing.

[0255] Next, refer to Figure 14 The flowchart shown below provides a detailed explanation. Figure 7 Step S706 is the cleaning and operation process inside the car.

[0256] [Step S1401]

[0257] exist Figure 14 In the flowchart shown, firstly, in step S1401, the cleaning operation control unit 118a of the cleaning operation processing unit 118 determines whether the implementation conditions for cleaning operation (strong) in the car are met. If the implementation conditions are met (yes), the process proceeds to step S1402; if the implementation conditions are not met (no), the process proceeds to step S1411.

[0258] [Step S1402]

[0259] In step S1402, based on the operation command from the cleaning operation command unit 118b of the cleaning operation processing unit 118, the ultraviolet irradiation unit 134 of the output device 130 performs cleaning operation (strong) inside the car, and proceeds to step S1403. Specifically, the door of the car 111 is closed, causing the ultraviolet irradiation unit 134 to operate.

[0260] [Step S1403]

[0261] In step S1403, the floor station notification unit 102 and the car guide display unit 132 of the output device 130 notify the car cleaning operation information, such as the content of the car cleaning operation being carried out and the remaining time of the car cleaning operation (strong), and then proceed to step S1404.

[0262] [Step S1404]

[0263] In step S1404, the cleaning operation control unit 118a of the cleaning operation processing unit 118 determines whether the end condition of the cleaning operation (strong) in the car is met. Steps S1403 to S1404 are repeated until it is determined that the end condition is met. If the end condition is met, the process proceeds to step S1405.

[0264] [Step S1405]

[0265] In step S1405, the cleaning operation processing unit 118 ends the cleaning operation (strong) inside the car and proceeds to step S1430.

[0266] Steps S1401 to S1405 describe the cleaning operation inside the car (strong). Steps S1411 to S1415 are replaced by the cleaning operation inside the car (medium), and steps S1421 to S1426 are replaced by the cleaning operation inside the car (weak) and the same process is performed, so the description is omitted.

[0267] In order to perform car cleaning operation (weak) periodically, in step S1421, the determination of the periodic cleaning timer becomes the starting condition. After the car cleaning operation (weak) in step S1425 ends, the process of resetting the periodic cleaning timer in step S1426 is added.

[0268] [Step S1430]

[0269] In step S1430, in the elevator number 110 of the object, the floor notification unit 102 displays the end time of the most recently performed car cleaning operation and ends the car cleaning operation process.

[0270] Next, refer to Figure 15 The flowchart shown illustrates the... Figure 7The control flow is executed independently and periodically in a broadcast, and the specific example of the judgment and processing is shown.

[0271] [Step S1500]

[0272] exist Figure 15 In the flowchart shown, firstly, in step S1500, the broadcast determination unit 116c of the broadcast processing unit 116 determines whether the broadcast instruction unit 116b has output a broadcast instruction.

[0273] If it is determined that a broadcast command has been output (yes), proceed to step S1501; if it is determined that no broadcast command has been output (no), end the broadcast determination process.

[0274] [Step S1501]

[0275] In step S1501, the broadcast determination unit 116c starts the playback time timer for the broadcast and proceeds to step S1502.

[0276] [Step S1502]

[0277] In step S1502, the broadcast determination unit 116c determines that the broadcast is in progress and proceeds to step S1503.

[0278] [Step S1503]

[0279] In step S1503, it is determined whether the playback timer for the broadcast has expired.

[0280] Repeat step S1503 until it is determined that a broadcast command has been output and the playback timer has expired (yes). If it is determined that a broadcast command has been output and the playback timer has expired (yes), proceed to step S1504.

[0281] [Step S1504]

[0282] In step S1504, the broadcast determination is cancelled, and the broadcast determination process ends.

[0283] As mentioned above, in Figure 15 In the flowchart shown, the system determines whether a broadcast is in progress based on whether a playback command has been output or the broadcast time has not yet expired.

[0284] (Effects of the first implementation method)

[0285] Previously, no preventative measures were taken to address the deterioration of the cabin environment due to passengers making noise.

[0286] In contrast, in this embodiment, by notifying passengers of elevator number 110 of their self-disciplined request to make noise, the spread of droplets caused by passengers' noise can be prevented in advance, thus maintaining a good environment inside the elevator car.

[0287] However, there are concerns that passengers who have not noticed the prior notification of the self-discipline request to speak out may do so.

[0288] In contrast, in this embodiment, it is possible to further control the system so that when the sound signal analysis unit 114b detects speech (at least one of utterance, loud voice, cough, sneezing, gagging, throat clearing, etc.), it will again notify the driver of the self-discipline request for utterance. Thus, even for passengers who have not noticed the prior self-discipline request, the driver can be notified of the self-discipline request for utterance at an appropriate time.

[0289] In addition, during the sound detection process, it is possible to mistakenly detect the broadcast sound inside car 111.

[0290] In contrast, in this embodiment, the determination of whether it is broadcasting (step S1200) is performed only when the broadcast is not in progress, thus preventing false detection of the broadcast audio.

[0291] In addition, most of the cars 111 that are being cleaned are excluded from the service list. If cleaning is frequently required in the cars, the service time will be reduced.

[0292] In contrast, in this embodiment, the cleaning operation inside the car is further controlled using the detection results of voice (voice, loud voice, cough, sneeze, gag, throat clearing, etc.) and the detection results of abnormal body temperature monitoring. This control ensures that the cleaning operation inside the car is performed at appropriate time intervals, thereby maintaining a good environment inside the car and increasing service life.

[0293] In addition, in the past, for example, it was difficult to identify the passengers who shared the ride if a person with an abnormal body temperature spread droplets inside car 111.

[0294] In contrast, in this embodiment, based on the detection results of voice (speech, loud voice, cough, sneezing, gagging, clearing throat, etc.) detection processing and abnormal body temperature holder detection processing, the elevator log is output to the building management system 140. Therefore, it is possible to identify the passengers sharing the ride by confirming the information of the surveillance camera corresponding to the information in the log.

[0295] In addition, in the past, the cleaning operation inside the car was carried out in the same way regardless of the conditions inside the car.

[0296] In contrast, in this embodiment, multiple operating modes are provided, such as cleaning operation inside the car (strong), cleaning operation inside the car (medium), and cleaning operation inside the car (weak). The mode is switched according to the conditions, thereby enabling appropriate cleaning operation inside the car that corresponds to the environment inside the car.

[0297] In addition, it is assumed that passengers may feel uneasy because they cannot determine the environment inside the car.

[0298] In contrast, in this embodiment, by notifying the floor station notification unit 102 and the car guidance display unit 132 of the contents of the car cleaning operation, the time until the end of the car cleaning operation, and the time of the most recent car cleaning operation, the user's sense of security can be improved.

[0299] <Second Implementation>

[0300] Figure 16 This is a schematic structural diagram (system structure diagram) of the elevator according to the second embodiment.

[0301] Figure 16 The system structure of elevator 2 in the second embodiment shown is similar to... Figure 1 The difference in the system structure of elevator 1 shown in Embodiment 1 is that the destination floor registration device 103 is connected to the operation management system 100. Other structures are the same as... Figure 1 The other structures of the first embodiment shown are the same, so only the destination layer registration device 103 will be described here.

[0302] [Destination Layer Registration Device 103]

[0303] The destination floor registration device 103 is an input device that accepts registrations for destination floors at each floor station. Sometimes it also has the function of specifying the number of people during registration to handle multiple registrations. For example, if there are three users on the 1st floor who want to go to the 4th floor, the destination floor registration device 103 on the 1st floor allows one of the three users to register for the 4th floor as their destination. In this case, the operation management system 100 allocates elevator numbers 110 in a manner that allows at least three people to use the elevator.

[0304] (Elevator control method according to the second embodiment)

[0305] Next, explain the process. Figure 16 The control method for elevator 2 is a second embodiment of the system structure shown.

[0306] The control flow of elevator 2 in the second embodiment is the same as that of elevator 1 in the first embodiment. However, only the steps that are different from those in the first embodiment will be described below.

[0307] [Step S800]

[0308] In step S800, instead Figure 8 The system indicates whether a service request has been entered from the layer station, and whether a destination layer registration for multiple people with a specified number of participants has been performed.

[0309] Then, if multiple people have registered for the destination layer, proceed to step S801; otherwise, end the layer notification process.

[0310] [Step S801]

[0311] In step S801, the destination layer registration device 103 guides the user to make a self-regulatory request to make a sound and ends the layer notification process.

[0312] (Effects of the second implementation method)

[0313] In the first embodiment, a new passenger is detected by an input device 120 installed in the car 111, such as a load detection unit 121, a camera, a human sensor, etc., and when it is determined that a new passenger has been detected, a notification sounding message of an autonomous request is played.

[0314] Therefore, for example, if there is no input device 120 in the car 111 and new passenger detection cannot be performed, it is impossible to make a pre-announced autonomous request at an appropriate time.

[0315] In contrast, in this embodiment, when multiple people are registered by the destination layer registration device 103 with a specified number of people, a pre-notification of a voice-activated automatic request is made in step S801. Thus, even without the input device 120, a pre-notification of a voice-activated automatic request can be made at an appropriate timing.

[0316] (Modified Example)

[0317] Furthermore, while the present invention has been described in a manner that is generally easy to explain, the present invention is not limited to the structures of the above-described embodiments.

[0318] For example, in the embodiments described above, the operation management system 100 and the elevator numbering machine 110 are separated by different structures, but it is also possible for the operation management device 100 to be installed in the elevator numbering machine 110. In this case, it is also possible to construct a master / slave structure in the elevator numbering machine 110, with the master taking on the role of the operation management system 100.

[0319] Furthermore, the present invention is not limited to the embodiments and modifications described above, but includes various modifications. For example, the embodiments described above are detailed embodiments for the purpose of easily understanding and illustrating the present invention, and are not limited to having all the structures described. In addition, a part of the structure of a certain embodiment can be replaced with the structure of another embodiment, and it is also possible to add the structure of another embodiment to the structure of a certain embodiment. Furthermore, regarding a part of the structure of each embodiment, other structures can be added, deleted, or replaced.

[0320] Furthermore, the aforementioned structures, functions, and processing units can be partially or entirely implemented in hardware, for example, through integrated circuit design. Alternatively, the aforementioned structures and functions can be implemented in software by a processor interpreting and executing programs that implement each function. The programs, tables, files, and other information implementing each function can be stored in storage devices such as memory, hard disks, and SSDs (Solid State Drives), or recording media such as IC cards, SD cards, and DVDs.

[0321] Furthermore, control lines and information lines represent the lines that are considered necessary in the instructions, but may not represent all control lines and information lines on the product. In fact, it can be considered that almost all the structural lines are interconnected.

[0322] Symbol Explanation

[0323] 1, 2… Elevator, 100… Operation Management System, 101… Call Registration Department, 102… Floor Notification Department, 103… Destination Floor Registration Device, 110… Elevator Number Machine, 110-1~110-n… Elevator Number Machines 1~n, 111… Car, 112… Passenger Determination Department, 114… Sound Signal Processing Department, 115… Abnormal Body Temperature Holder Detection and Processing Department, 116… Broadcasting Processing Department, 117… Log Processing Department, 118… Cleaning Operation Processing Department, 120… Input Device, 130… Output Device, 140… Building Management System.

Claims

1. An elevator that transports passengers via a car, characterized in that, The elevator has the following features: The notification department responsible for disseminating information; The sound detection unit detects sound; and The sound signal analysis unit analyzes the sound detected by the sound detection unit and detects speech based on the analysis results. When the sound signal analysis unit detects speech, the notification unit notifies the user of a self-regulating request to speak.

2. The elevator according to claim 1, characterized in that, The elevator also features: The broadcast determination unit determines whether a voice broadcast based on the notification unit is in progress. If the determination unit determines that the voice broadcast has not been performed during the broadcast, the sound detection unit performs sound detection.

3. The elevator according to claim 1, characterized in that, The elevator also has a cleaning operation processing unit that controls the cleaning operation inside the car. When the sound signal analysis unit detects speech, the cleaning operation processing unit performs the cleaning operation.

4. The elevator according to claim 1, characterized in that, The elevator also includes a log processing unit that processes logs related to the elevator. When the sound signal analysis unit detects speech, the log processing unit outputs the log.

5. The elevator according to claim 1, characterized in that, The elevator also features: The abnormal body temperature maintainer detection unit defines individuals whose body temperature exceeds a certain detection threshold as abnormal body temperature maintainers; and The cleaning operation and processing unit controls the cleaning operation within the car. When the abnormal body temperature holder detection unit detects an abnormal body temperature holder, the cleaning operation processing unit performs the cleaning operation.

6. The elevator according to claim 1, characterized in that, The elevator also features: The abnormal body temperature maintainer detection unit defines individuals whose body temperature exceeds a certain detection threshold as abnormal body temperature maintainers; and The log processing unit processes logs related to the elevator. When the abnormal body temperature holder detection unit detects an abnormal body temperature holder, the log processing unit outputs the log.

7. The elevator according to claim 1, characterized in that, The elevator also has a cleaning operation processing unit that controls the cleaning operation inside the car. The cleaning operation processing unit has one or more cleaning operation modes, and executes at least one of the cleaning operation modes periodically at determined time intervals for implementation and termination of each cleaning operation mode.

8. The elevator according to claim 7, characterized in that, During the cleaning operation, the notification unit informs the user of the content of the cleaning operation or the time until the end of the cleaning operation.

9. The elevator according to claim 7, characterized in that, The notification department informs you of the latest implementation time of the cleaning operation.

10. A method for controlling an elevator, comprising controlling an elevator that transports passengers via a car, characterized in that, The elevator has the following features: The notification department responsible for disseminating information; The sound detection unit detects sound; and The sound signal analysis unit analyzes the sound detected by the sound detection unit and detects speech based on the analysis results. Control is implemented so that when the sound signal analysis unit detects speech, the notification unit notifies the user of a self-regulating request to speak.

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