Elevator taking management method based on safety monitoring and man-machine interaction terminal

Abstract

The invention provides an elevator taking management method based on safety monitoring and a man-machine interaction terminal, and belongs to the technical field of elevator taking management.The elevator taking management method specifically comprises the steps that the elevator taking time period when an elevator reaches the target elevator taking amount serves as the target elevator taking time period; and determining an optimization processing mode of the personnel restriction measures of the elevator according to the monitoring data of the target elevator taking time period in the preset time period until the Internet of Things equipment reaches the target monitoring frequency, and performing safety monitoring on the optimization processing data of the personnel restriction measures of the elevator by using the Internet of Things equipment. And the elevator taking management method of the elevator in the target time period is determined, and the reliability degree of monitoring processing of the elevator is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of elevator management, and in particular relates to an elevator management method based on safety monitoring and a human-computer interaction terminal. Background Art

[0002] When renovating elevators in old residential communities, it is often done through fundraising, which often involves technical defects that take a long time. Therefore, advance payment and charging based on usage has become a new solution for the renovation of old communities. At the same time, how to implement charging based on usage has become a technical problem that needs to be solved urgently.

[0003] Specific existing technical solutions often implement billing processing through a camera device or a card swiping method. Specifically, a similar technical solution is provided in the invention patent application CN201811392710.8 "An Elevator Billing Method, Device, Equipment and Storage Medium", but the above technical solution has the following technical problems: In order to improve the flexibility of residents' use, monthly tickets can be purchased on the mini program on a monthly basis. One purchase can realize the binding processing of multiple users. At the same time, when there are visitors, residents can generate visitor codes on the mini program and share them with visitors. However, the existing technical solutions have ignored the restriction processing of visitor codes based on the safety monitoring status of the elevator. Specifically, due to the adoption of elevator restriction measures, the probability of the elevator reaching full capacity becomes lower, and since it is impossible to effectively obtain the safety monitoring data under the full capacity state, it is impossible to accurately obtain the operating status of the elevator. Therefore, how to optimize the visitor code restriction removal processing solution, on the basis of reducing the impact on the waiting time of other residents, enable the Internet of Things monitoring equipment to effectively monitor the operating data of the elevator reaching full capacity, and improve the reliability of the elevator's safety monitoring processing has become a technical problem that needs to be solved urgently.

[0004] In order to solve the above technical problems, the present application specifically provides an elevator riding management method based on safety monitoring and a human-computer interaction terminal. Summary of the Invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: Specifically, the present application provides an elevator riding management method based on safety monitoring, which specifically includes: S1 uses the elevator's IoT device to obtain monitoring data when the elevator reaches the target passenger volume. If the monitoring data does not meet the requirements, the target time period is determined based on the matching between the passenger data in different time periods and the target passenger volume. During the target time period, the restrictions on the visitor codes of different residents are lifted. S2 uses the elevator ride period when the elevator reaches the target passenger volume as the target elevator ride period, and uses the monitoring data of the target elevator ride period within a preset time period to determine the optimization treatment method of the elevator's passenger restriction measures until the IoT device reaches the target monitoring number; S3 uses the optimized processing data of the personnel restriction measures of the elevator used for safety monitoring by the Internet of Things device to determine the elevator management method during the target period.

[0006] The beneficial effects of the present invention are: In the present application, the optimization processing method of the personnel restriction measures of the elevator is determined based on the monitoring data of the target elevator riding time period within a preset time period, thereby avoiding the technical problem of only lifting the restrictions on the visitor codes of different residents during the target time period, resulting in a small number of time periods under the target elevator riding volume, which leads to a long time for the Internet of Things monitoring equipment to reach the target monitoring times. The restriction measures are further optimized during different time periods, which improves the efficiency of the acquisition and processing of the Internet of Things monitoring equipment, and also avoids the impact of the long-term lifting of visitor code restrictions during the target time period on the residents' waiting time for the elevator.

[0007] In this application, the optimized processing data of the personnel restriction measures of elevators used for safety monitoring by IoT devices is used to determine the elevator passenger management method in the target time period, thereby further ensuring the reliability of the IoT device's monitoring and processing of the elevator under the target passenger volume. At the same time, by combining the optimized processing data of the personnel restriction measures of elevators used for safety monitoring by IoT devices, the restriction measures of visitor codes in the target time period are optimized in a targeted manner, avoiding the impact of frequent visitor code removal restrictions in different time periods on the residents' waiting time for the elevator.

[0008] Furthermore, the monitoring data includes vibration data of the elevator motor, speed data, acceleration and deceleration curves of the elevator.

[0009] Furthermore, the target passenger volume is the rated number of people of the elevator.

[0010] Specifically, determining that the monitoring data does not meet the requirements includes: Based on the monitoring data, determining a monitoring period for the IoT monitoring device under a target passenger volume; Determining the intervals between different adjacent monitoring periods based on the distribution data of the monitoring periods; Determine whether the monitoring data meets the requirements based on the interval duration.

[0011] Furthermore, the method for determining the elevator management method in the target time period is: Determining a number of adjustments to the personnel restriction measures for the elevator used for safety monitoring by the Internet of Things device based on the optimized processing data of the personnel restriction measures for the elevator used for safety monitoring by the Internet of Things device; Based on the data on the number of visitor codes of residents in different time periods at different adjustment times, determine the number of adjustments for removing the restriction on the number of visitor codes of residents in all time periods, and use it as the impact adjustment number; A method for managing the elevator use in a target time period is determined based on the number of impact adjustments.

[0012] Furthermore, when the number of impact adjustments is large, it means that the monitoring reliability of the elevator under the target passenger volume is low and the number of time periods when the target passenger volume is reached is small. Therefore, on this basis, the number of visitor codes of different residents is lifted during the target time periods on different dates, thereby avoiding the impact of frequent lifting of restrictions in different time periods on the waiting time of residents.

[0013] On the other hand, the present application provides a human-computer interaction terminal, which adopts the above-mentioned elevator riding management method based on safety monitoring, specifically including: Camera, smart screen, elevator control device, communication module; The camera is responsible for facial recognition of elevator passengers and determining the number of passengers. The smart screen is responsible for swiping cards, identifying elevator codes and visitor codes, and facial recognition. The communication module is responsible for obtaining the elevator operation data of the Internet of Things monitoring device and transmitting the smart screen's card swiping data, elevator code data and visitor code data, facial recognition data, and elevator operation data to the remote management platform.

[0014] Furthermore, the smart screen can display time, floor, announcements or promotional videos.

[0015] Other features and advantages will be described in the following description. The objectives and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0016] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other features and advantages of the present invention will become more apparent by describing in detail example embodiments thereof with reference to the accompanying drawings.

[0018] Figure 1 It is a flow chart of an elevator riding management method based on safety monitoring; Figure 2is a flow chart of a method for determining a target period; Figure 3 It is a flow chart of a method for determining an optimized processing method for personnel restriction measures of an elevator; Figure 4 It is a flow chart of a method for determining an elevator boarding management method in a target time period; Figure 5 It is a framework diagram of a human-computer interaction terminal; Figure 6 This is a schematic diagram of the travel mini program. DETAILED DESCRIPTION

[0019] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0020] Due to the limitations of elevator control measures, shared elevators in existing technical solutions have not been operating in a fully occupied state for a long time, resulting in the inability of IoT devices used to monitor the vibration data of the elevator motor, the speed data, and the acceleration and deceleration curves of the elevator to obtain the actual operating status of the elevator.

[0021] In order to solve the above technical problems, the present application removes restrictions on the number of visitor codes of different households during the target period, that is, the number of visitors who can take the elevator during the target period, so that the elevator can timely and effectively obtain the actual operating status of the elevator when it is full, and uses the data when the number of people taking the elevator reaches full capacity during the target period to determine the elevator management method during the target period, and dynamically removes restrictions on the number of visitors during the target period, thereby improving the reliability of the elevator's monitoring and processing.

[0022] Example 1 like Figure 1 As shown, the present application provides an elevator riding management method based on safety monitoring, which specifically includes: S1 uses the elevator's IoT device to obtain monitoring data when the elevator reaches the target passenger volume. If the monitoring data does not meet the requirements, the target time period is determined based on the matching between the passenger data in different time periods and the target passenger volume. During the target time period, the restrictions on the visitor codes of different residents are lifted. Furthermore, the monitoring data includes vibration data of the elevator motor, speed data, acceleration and deceleration curves of the elevator.

[0023] Furthermore, the target passenger volume is the rated number of people of the elevator.

[0024] Specifically, determining that the monitoring data does not meet the requirements includes: Based on the monitoring data, determining a monitoring period for the IoT monitoring device under a target passenger volume; Determining the intervals between different adjacent monitoring periods based on the distribution data of the monitoring periods; Determine whether the monitoring data meets the requirements based on the interval duration.

[0025] It is understandable that when there is a monitoring period whose interval length between adjacent monitoring periods does not meet the requirements, it means that the Internet of Things monitoring equipment has not effectively monitored and obtained the monitoring data of the elevator under the target elevator riding volume. Therefore, on this basis, it may not be possible to effectively determine the true operating status of the elevator. Therefore, to determine that the monitoring data does not meet the requirements, it is necessary to lift certain elevator riding restrictions to ensure that the Internet of Things monitoring equipment can determine the true operating status of the elevator as soon as possible.

[0026] In a possible embodiment, when there is a monitoring period with an interval time of more than 12 hours between adjacent monitoring periods, it is determined that the monitoring data does not meet the requirements.

[0027] Optionally, determining that the monitoring data does not meet the requirements specifically includes: Based on the monitoring data, determining a monitoring period for the IoT monitoring device under a target passenger volume; Determine whether the monitoring data meets the requirements based on the distribution data of the monitoring period.

[0028] It is understandable that when the number of monitoring periods within a certain time period does not meet the requirements, it is determined that the monitoring data does not meet the requirements. In a possible embodiment, if the number of monitoring periods within a week is less than 10, it means that the Internet of Things monitoring device has not effectively monitored and obtained the monitoring data of the elevator under the target elevator riding volume. Therefore, on this basis, it may not be possible to effectively determine the true operating status of the elevator. Therefore, to determine that the monitoring data does not meet the requirements, it is necessary to lift certain elevator riding restrictions to ensure that the Internet of Things monitoring device can determine the true operating status of the elevator as soon as possible.

[0029] When the monitoring data meets the requirements, the actual operating status of the elevator can be effectively determined, so there is no need to lift the elevator restriction measures.

[0030] Furthermore, the matching status of the elevator riding data and the target elevator riding volume is determined based on the deviation between the number of elevator passengers in different historical elevator riding time periods and the target elevator riding volume.

[0031] It can be understood that the elevator riding data is the distribution data of the elevator riding time period under different numbers of elevator passengers. The specific elevator riding time period is the number of times the same elevator rises or descends as a elevator riding time period.

[0032] Specifically, such as Figure 2 As shown, the method for determining the target period is: Determine the deviation between the number of passengers in different riding periods in the period and the target riding volume based on the matching between the riding data in the period and the target riding volume; Determining a matching boarding time period in the time period based on the deviation; According to the composition data of the time period matching the elevator riding time period, it is determined whether the time period is the target time period.

[0033] It should be noted that the matching riding period is the riding period whose deviation from the target riding volume meets the requirements. In a possible embodiment, the riding period whose deviation from the target riding volume is less than 3 people is used as the matching riding period.

[0034] It can be understood that when the number of matching elevator time periods in the time period meets the requirements, the time period is determined to be the target time period. In a possible embodiment, when the number of matching elevator time periods in the time period is more than 4, for example, when the number of matching elevator time periods in the time period on different dates is more than 4, it means that the elevator is very busy during this time period. Therefore, on this basis, the restrictions on visitor codes of different residents are only lifted during the target time period, so that different residents can generate visitor codes without restrictions, thereby ensuring that the number of elevator passengers in the target time period can reach the target elevator volume, thereby ensuring that the reliability of the monitoring and processing of the Internet of Things monitoring data meets the requirements.

[0035] Furthermore, during the target time period, the restriction removal process for visitor codes of different residents is performed, specifically including: The restriction on the number of visitor codes generated for different residents is lifted during the target period, and no restriction is required during other periods other than the target period, that is, the number of visitor codes generated for different residents during other periods other than the target period is limited to a fixed number range.

[0036] It should be noted that the fixed number interval is generally set between 5 and 10 persons, that is, different residents can only authorize a maximum of 5 to 10 visitors in other time periods.

[0037] S2 uses the elevator ride period when the elevator reaches the target passenger volume as the target elevator ride period, and uses the monitoring data of the target elevator ride period within a preset time period to determine the optimization treatment method of the elevator's passenger restriction measures until the IoT device reaches the target monitoring number; Specifically, such as Figure 3 As shown, the method for determining the optimization processing mode of the personnel restriction measure of the elevator is: Determining the number of target elevator riding time periods in the target time period within a preset time period based on the monitoring data of the target elevator riding time period; Determining the number of target elevator riding periods within a preset time period based on monitoring data of the target elevator riding periods within a preset time period; Based on the number of target riding periods in the target time period and the number of target riding periods, an optimized processing method of the personnel restriction measure of the elevator is determined.

[0038] It is understandable that after the restriction on the visitor code is lifted in the target time period, if within the preset time period, for example, the number of target elevator riding periods and the number of target elevator riding periods in the target time period within 3 days are still small, it is impossible to effectively obtain the monitoring data of the elevator under the target elevator riding volume at this time. Therefore, on this basis, the restriction on the number of visitor codes of all residents is directly lifted in all time periods.

[0039] In a possible embodiment, if the total number of target elevator riding periods in the target time period within the preset time period is less than 3, and the number of target elevator riding periods within the preset time period is less than 10, it means that it is still impossible to effectively obtain the monitoring data of the elevator under the target elevator riding volume at this time.

[0040] In another embodiment, the method for determining the optimized processing mode of the elevator personnel restriction measure is: Determining a date in which a target elevator riding period exists in the target period within a preset time period based on the monitoring data of the target elevator riding period; Determining the number of target elevator riding periods within a preset time period based on monitoring data of the target elevator riding periods within a preset time period; Based on the dates on which target elevator riding time periods exist in the target time periods within a preset time period and the number of target elevator riding time periods, an optimized processing method for the personnel restriction measures of the elevator is determined.

[0041] It can be understood that when within a preset time period, for example, within 3 days, there are less than 2 dates of target elevator riding periods in the target time periods, and the number of target elevator riding periods is less than 10, it means that it is still impossible to effectively obtain the monitoring data of the elevator under the target elevator riding volume. Therefore, on this basis, the number of visitor codes of all residents is directly lifted in all time periods.

[0042] Further, until the IoT device reaches the target monitoring times, specifically including: When the IoT device reaches the target number of monitoring times, it is now able to accurately determine the operating status of the elevator. When the vibration data of the motor, the speed data of the elevator, the acceleration and deceleration curves are all within the range required by the elevator manual, the number of visitor codes of different residents will continue to be limited in all time periods, thereby reducing the waiting time for different residents.

[0043] It should be noted that the target monitoring times ranges from 20 to 30 times, and is specifically determined based on the usage data of the elevator. The higher the usage frequency of the elevator, the greater the target monitoring times.

[0044] S3 uses the optimized processing data of the personnel restriction measures of the elevator used for safety monitoring by the Internet of Things device to determine the elevator management method during the target period.

[0045] Specifically, such as Figure 4 As shown, the method for determining the elevator management method in the target period is: Determining a number of adjustments to the personnel restriction measures for the elevator used for safety monitoring by the Internet of Things device based on the optimized processing data of the personnel restriction measures for the elevator used for safety monitoring by the Internet of Things device; Based on the data on the number of visitor codes of residents in different time periods at different adjustment times, determine the number of adjustments for removing the restriction on the number of visitor codes of residents in all time periods, and use it as the impact adjustment number; A method for managing the elevator use in a target time period is determined based on the number of impact adjustments.

[0046] Furthermore, when the number of impact adjustments is large, that is, the requirements are not met, it means that the monitoring reliability of the elevator under the target elevator passenger volume is low and the number of time periods when the target elevator passenger volume is reached is small. Therefore, on this basis, the number of visitor codes of different residents in the target time periods on different dates is unrestricted, thereby avoiding the impact of frequent unrestriction processing in different time periods on the waiting time of residents.

[0047] In a possible embodiment, if the number of impact adjustments in the most recent month is 2 or more, it is determined that the number of impact adjustments is excessive.

[0048] It should also be noted that when the number of adjustments affecting the impact is small, it is also necessary to determine whether the number of adjustments within the most recent preset time period meets the requirements. If the number of adjustments within the most recent month is more than 2 times, it means that the monitoring reliability of the Internet of Things monitoring equipment under normal operating conditions is not high. Therefore, on this basis, if the number of monitoring times of the Internet of Things monitoring equipment under the target elevator volume within the most recent preset time period is less than 5 times, the number of visitor codes for different residents will be lifted in the next target time period.

[0049] In other cases, if the number of adjustments within the most recent month meets the requirements, there is no need to lift the limit on the number of visitor codes for different residents during the target period.

[0050] Optionally, the method for determining the elevator boarding management method in the target time period is: Determining a number of adjustments to the personnel restriction measures for the elevator used for safety monitoring by the Internet of Things device based on the optimized processing data of the personnel restriction measures for the elevator used for safety monitoring by the Internet of Things device; Based on the data on the number of visitor codes of residents in different time periods at different adjustment times, determine the number of adjustments for removing the restriction on the number of visitor codes of residents in all time periods, and use it as the impact adjustment number; The elevator riding management method of the elevator in the target time period is determined according to the constituent data of the adjustment times that affect the adjustment times.

[0051] Optionally, when the number of impact adjustments is large, it means that the monitoring reliability of the elevator under the target passenger volume is low and the number of time periods when the target passenger volume is reached is small. Therefore, on this basis, the number of visitor codes of different residents is lifted during the target time periods on different dates, thereby avoiding the impact of frequent lifting of restrictions in different time periods on the waiting time of residents.

[0052] It can be understood that when the number of impact adjustments is relatively large in the number of adjustments, in a possible embodiment, if the number of impact adjustments is more than two-thirds of the number of adjustments, it means that the number of elevator riding time periods that reach the target elevator riding volume in the target time period is small. Therefore, on this basis, the number of visitor codes of different residents in the target time period is lifted according to the preset cycle. In a possible embodiment, for example, the number of visitor codes of different residents in the target time period is lifted every 3 days.

[0053] Example 2 On the other hand, Figure 5 As shown, the present application provides a human-computer interaction terminal, which adopts the above-mentioned elevator management method based on safety monitoring, specifically including: Camera, smart screen, elevator control device, communication module; The camera is responsible for facial recognition of elevator passengers and determining the number of passengers. The smart screen is responsible for swiping cards, identifying elevator codes and visitor codes, and facial recognition. The communication module is responsible for obtaining the elevator operation data of the Internet of Things monitoring device and transmitting the smart screen's card swiping data, elevator code data and visitor code data, facial recognition data, and elevator operation data to the remote management platform.

[0054] Furthermore, the smart screen can display time, floor, announcements or promotional videos.

[0055] System operation logic: A digital camera is installed on the top of the elevator car for face recognition, head portrait collection and head counting. A 10.1-inch smart screen (human-computer interaction terminal) is wall-mounted or embedded in the elevator car. It allows passengers to board using credit cards, QR codes, or facial recognition. It features an integrated facial recognition algorithm. It displays the time, floor, announcements, or promotional videos, and a boarding code for non-registered users to pay for rides. Resident data is stored locally.

[0056] The smart screen is connected to the elevator control status and communicates with the cloud platform via 4G or wired The administrator uses the quotation function of the elevator and bus system to input basic building parameters, such as floor height, public floors, number of households on each floor, number of elevators, elevator prices and other basic information. The program automatically generates the unit price of a single ticket and a monthly ticket for each household on each floor.

[0057] Residents must register through the mini-program and submit a room binding application. This application must be reviewed and approved by the backend administrator before it can be used. By default, a room can record six faces and card numbers for free. Residents can purchase monthly passes on the mini-program, with a default limit of six people. If there are visitors, residents can generate a guest code on the mini-program and share it with them.

[0058] Swipe the card, which supports bus cards or ordinary IC cards. The smart screen recognizes the card number and matches the resident data locally. If it does not exist, the cloud platform will query it. After verification, the floor will be automatically registered and the resident data will be synchronized and saved to the smart screen. Facial recognition collects facial data through the car-top camera and uses the smart screen facial recognition algorithm to locally match resident data. If the resident data exists, the floor will be automatically registered.

[0059] QR code, supports elevator code and visitor code, through the QR code reader to identify the data, local matching resident data, if it exists, automatically register the floor, if not, query the cloud platform, automatically register the floor after verification, and synchronize the resident data to the smart screen The single ticket pays for the elevator. The mobile phone scans the elevator code on the smart screen, selects the floor and clicks to pay. After the cloud platform receives the payment success status, it sends the elevator instruction to the smart screen and automatically registers the floor. The single ticket does not limit the number of users The elevator operation data is collected through the elevator operation monitoring device and uploaded to the cloud platform through the smart screen. The normal operation of the elevator is guaranteed in real time through data analysis. For safety reasons, this system does not impose restrictions on users who use the elevator without a valid license. When the smart screen detects a mismatch between the number of passengers and the registered number of people, a voice reminder will be issued and a screenshot will be uploaded. When an abnormal use of the registered card number is detected, a text message reminder will be sent, and in serious cases, the account will be blocked.

[0060] The remote management platform in this application has the following features: Community Management Used to manage community information, including community name, address, and property contact information; Building Management It is used to manage the building information of the community where the bus elevator smart terminal has been installed, including the building name, total floors, number of rooms, ticket price, elevator ride authorization, the number of IC cards and facial recognition registrations used by each household, and the charging status switch; the operation management can view the charging status of each building; Resident Management Used to manage resident information, including user name, mobile phone number, number of associated rooms, cards and faces; Owner review Each room has only one owner, and the owner needs to be reviewed before using it; Terminal Management Used to manage building elevator smart terminals, you can check the health status of the equipment, remotely control the equipment, issue announcements, synchronize resident information, etc. Order Management Manage the order records of residents when they purchase monthly or single-use tickets; Elevator record Used to manage residents' elevator riding records, including the person riding the elevator, the method of riding the elevator, the time of riding the elevator, etc. Material Management Used to manage video or image files sent to smart screens; Announcement Management Used to manage the notification announcement texts sent to the smart screen; Visitor Management Used to manage records of visitor codes generated by tenants; Quote Management Generate the elevator price for each floor and each household based on the building information and elevator price, and generate the building room information with one click.

[0061] like Figure 6 The following is a schematic diagram of the travel app of this application, which has the following functions: Room Management Owner users can manage rooms, including adding residents and managing facial and card number information; Room Registration Residents need to register and bind their room when using the room for the first time; Visitor elevator Used to generate visitor codes; Monthly Pass Purchase Used to purchase monthly elevator tickets. You do not need to purchase them when the building information has closed the charging system. Order History Manage payment records for purchasing monthly passes; Elevator record Used to record the elevator information of all residents in the current room; Feedback Used to feedback intelligent terminal failure or elevator failure information; Elevator code Used to scan the code in the elevator car to board the elevator. Unlike the visitor code, the elevator code can be used multiple times; Personal Center Used to manage resident account information; Elevator status You can check the elevator usage status of the resident's floor.

[0062] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0063] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0064] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. An elevator management method based on safety monitoring, characterized in that: Specifically include: Using the elevator's IoT device to obtain monitoring data when the elevator reaches a target passenger volume, if the monitoring data does not meet the requirements, a target time period is determined based on how well the passenger data in different time periods matches the target passenger volume, and during the target time period, restrictions on visitor codes for different residents are lifted; The target riding period is used as the target riding period, and the optimization method of the elevator's passenger restriction measures is determined based on the monitoring data of the target riding period within a preset time period until the IoT device reaches the target monitoring number. The optimized processing data of the personnel restriction measures of the elevator used for safety monitoring by the Internet of Things device is used to determine the elevator passenger management method in the target time period.

2. The elevator management method based on safety monitoring according to claim 1, characterized in that: The monitoring data includes vibration data of the elevator motor, speed data, acceleration and deceleration curves of the elevator.

3. The elevator management method based on safety monitoring according to claim 1, characterized in that: The target passenger volume is the rated number of people of the elevator.

4. The elevator management method based on safety monitoring according to claim 1, characterized in that: When the monitoring data meets the requirements, there is no need to lift the elevator restriction measures.

5. The elevator management method based on safety monitoring according to claim 1, characterized in that: The matching status of the elevator riding data and the target elevator riding volume is determined based on the deviation between the number of elevator passengers in different historical elevator riding time periods and the target elevator riding volume.

6. The elevator management method based on safety monitoring according to claim 1, characterized in that: The method for determining the target period is: Determine the deviation between the number of passengers in different riding periods in the period and the target riding volume based on the matching between the riding data in the period and the target riding volume; Determining a matching boarding time period in the time period based on the deviation; According to the composition data of the time period matching the elevator riding time period, it is determined whether the time period is the target time period.

7. The elevator management method based on safety monitoring according to claim 6, characterized in that: The matching riding time period is a riding time period whose deviation from the target riding amount meets the requirements.

8. The elevator management method based on safety monitoring according to claim 1, characterized in that: The restriction removal process for visitor codes of different residents is performed during the target time period, specifically including: The restriction on the number of visitor codes generated for different residents is lifted during the target period, and no restriction is required during other periods other than the target period, that is, the number of visitor codes generated for different residents during other periods other than the target period is limited to a fixed number range.

9. The elevator management method based on safety monitoring according to claim 1, characterized in that: The method for determining the elevator management method in the target period is: Determining a number of adjustments to the personnel restriction measures for the elevator used for safety monitoring by the Internet of Things device based on the optimized processing data of the personnel restriction measures for the elevator used for safety monitoring by the Internet of Things device; Based on the data on the number of visitor codes of residents in different time periods at different adjustment times, determine the number of adjustments for removing the restriction on the number of visitor codes of residents in all time periods, and use it as the impact adjustment number; A method for managing the elevator use in a target time period is determined based on the number of impact adjustments.

10. A human-computer interaction terminal, using the elevator management method based on safety monitoring according to any one of claims 1 to 9, characterized in that: Specifically include: Camera, smart screen, elevator control device, communication module; The camera is responsible for facial recognition of elevator passengers and determining the number of passengers. The smart screen is responsible for swiping cards, identifying elevator codes and visitor codes, and facial recognition. The communication module is responsible for obtaining the elevator operation data of the Internet of Things monitoring device and transmitting the smart screen's card swiping data, elevator code data and visitor code data, facial recognition data, and elevator operation data to the remote management platform.

Images