Elevator safety monitoring method and system, electronic equipment and storage medium

Abstract

The invention provides an elevator safety monitoring method and system, electronic equipment and a storage medium, and relates to the technical field of elevator safety management.The elevator safety monitoring method comprises the steps that sensing data of at least one internet-of-things sensing terminal associated with an elevator is collected, fault recognition is conducted on the elevator based on the sensing data, and a first recognition result is obtained; a monitoring video of video monitoring equipment in the elevator is collected, the abnormal elevator taking behavior is recognized based on the monitoring video, and a second recognition result is obtained; and in response to at least one of the first recognition result and the second recognition result indicating that the elevator has the operation risk, the elevator is controlled to send out alarm information, and the elevator operation safety is improved.

Description

Technical Field

[0001] The present application relates to the technical field of elevator safety management, and in particular to an elevator safety monitoring method, system, electronic equipment and storage medium. Background Art

[0002] With the continuous advancement of urbanization, elevators have become an indispensable means of vertical transportation in high-rise buildings, which can be used to vertically transport people, goods or other objects; at the same time, the safe operation of elevators has attracted increasing attention, so it is very important to monitor elevator safety. Summary of the invention

[0003] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0004] To this end, the first purpose of this application is to propose an elevator safety monitoring method to achieve timely and accurate elevator safety management.

[0005] The second objective of this application is to provide an elevator safety monitoring system.

[0006] The third objective of the present application is to provide an electronic device.

[0007] A fourth objective of the present application is to provide a computer-readable storage medium.

[0008] A fifth object of the present application is to provide a computer program product.

[0009] To achieve the above-mentioned purpose, the first embodiment of the present application proposes an elevator safety monitoring method, comprising:

[0010] Collecting sensing data of at least one IoT sensing terminal associated with the elevator, and based on the sensing data, performing fault identification on the elevator to obtain a first identification result;

[0011] Collecting surveillance video from a video surveillance device in the elevator, and identifying abnormal elevator riding behavior based on the surveillance video to obtain a second identification result;

[0012] In response to at least one of the first recognition result and the second recognition result indicating that the elevator has an operation risk, the elevator is controlled to issue an alarm message.

[0013] To achieve the above-mentioned purpose, the second embodiment of the present application proposes an elevator safety monitoring system, including:

[0014] At least one IoT sensing terminal, used to collect sensing data of the elevator, and based on the sensing data, perform fault identification on the elevator to obtain a first identification result;

[0015] A video monitoring device is used to collect monitoring videos in the elevator, and identify abnormal elevator riding behaviors based on the monitoring videos to obtain a second identification result;

[0016] A safety monitoring component is used to control the elevator to issue an alarm message when at least one of the first recognition result and the second recognition result indicates that the elevator has an operation risk.

[0017] To achieve the above-mentioned purpose, the third aspect of the present application provides an electronic device, including:

[0018] A processor, and a memory communicatively connected to the processor;

[0019] The memory stores computer-executable instructions;

[0020] The processor executes the computer-executable instructions stored in the memory to implement the method as described in the embodiment of the first aspect.

[0021] To achieve the above-mentioned purpose, the fourth aspect embodiment of the present application proposes a computer-readable storage medium, in which computer execution instructions are stored. When the computer execution instructions are executed by a processor, they are used to implement the method described in the first aspect embodiment.

[0022] To achieve the above-mentioned purpose, the fifth aspect of the present application proposes a computer program product, including a computer program, which implements the method described in the first aspect when executed by a processor.

[0023] The elevator safety monitoring method, system, electronic device and storage medium provided in the present application respectively perform fault identification and abnormal elevator riding behavior identification by collecting the perception data of the Internet of Things perception terminal associated with the elevator and the monitoring video in the elevator to obtain a first identification result and a second identification result; the elevator safety is monitored from two aspects of elevator failure and illegal elevator riding behavior, and when any elevator operation risk occurs, the elevator is controlled to send an alarm message to promptly discover unsafe elevator operation conditions and improve the safety of elevator operation.

[0024] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0026] Figure 1 A schematic diagram of a flow chart of an elevator safety monitoring method provided in an embodiment of the present application;

[0027] Figure 2 A flowchart of another elevator safety monitoring method provided by an embodiment of the present application;

[0028] Figure 3 A schematic diagram of the structure of an elevator safety monitoring system provided in an embodiment of the present application;

[0029] Figure 4 An overall logic block diagram of an elevator safety monitoring system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0030] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0031] The elevator safety monitoring method, system, electronic device and storage medium of the embodiments of the present application are described below with reference to the accompanying drawings.

[0032] Figure 1 The following is a flow chart of an elevator safety monitoring method provided in an embodiment of the present application. Figure 1 As shown, the elevator safety monitoring method includes the following steps:

[0033] S101, collecting perception data of at least one IoT perception terminal associated with the elevator, and based on the perception data, performing fault identification on the elevator to obtain a first identification result.

[0034] Optionally, the first recognition result can be obtained by analysis by the server, or by analysis by a chip in the Internet of Things sensing terminal; that is, the server obtains the perception data of at least one Internet of Things sensing terminal associated with the elevator, and performs a fault analysis based on the perception data to obtain the first recognition result; or the chip inside the Internet of Things sensing terminal receives the perception data, and performs a fault analysis on the perception data to obtain the first recognition result.

[0035] Optionally, the Internet of Things sensing terminal can be installed inside the elevator, and includes at least one or more built-in sensors, a computing chip and an artificial intelligence algorithm. The one or more built-in sensors are used to collect sensing data, and the sensing data includes but is not limited to temperature, humidity, elevator speed, vibration and other data, and the collected sensing data is sent to the computing chip.

[0036] It can be understood that the computing chip realizes fault identification based on artificial intelligence algorithm, and judges elevator faults based on the perception data collected by the Internet of Things perception terminal, where elevator faults include but are not limited to hitting the top, squatting at the bottom, falling off the ladder, abnormal elevator movement, non-level stop, abnormal shaking, overspeeding, abnormal starting, power outage, button alarm and abnormal door closing; the first identification result may include the result of whether there is an elevator fault, and the elevator fault identified when there is an elevator fault; for example, when a fault with abnormal shaking is identified, the first identification result is that the elevator has an abnormal shaking fault.

[0037] In some implementations, elevator failure prediction can also be achieved based on perception data and computing chips, that is, whether there is a risk of transmission failure is determined according to the perception data, and a first recognition result is obtained. That is, the first recognition result can include fault information of the elevator failure and whether the elevator is at risk of failure, so as to perform risk management in advance according to the first recognition result.

[0038] S102, collecting surveillance video from the video surveillance equipment in the elevator, and identifying abnormal elevator riding behavior based on the surveillance video to obtain a second identification result.

[0039] In some implementations, the second recognition result can be obtained by collecting and analyzing the surveillance video of the elevator based on the server, or by analyzing the surveillance video by a chip inside the video surveillance device.

[0040] It is understandable that the video surveillance equipment is arranged inside the elevator to collect real-time video conditions inside the elevator; in some implementations, the video surveillance equipment may include a built-in computing chip and a corresponding artificial intelligence algorithm, and the computing chip is used to analyze the surveillance video.

[0041] Optionally, abnormal elevator-riding behavior can be identified based on surveillance video, and abnormal elevator-riding behavior may include dangerous violations such as electric vehicles or gas tanks entering the elevator; the second identification result may include the result of whether there is abnormal elevator-riding behavior, and the corresponding violation behavior when abnormal elevator-riding behavior is identified; for example, when an electric vehicle enters the elevator, the second identification result is the violation of the electric vehicle entering the elevator.

[0042] S103, in response to at least one of the first recognition result and the second recognition result indicating that the elevator has an operation risk, controlling the elevator to issue an alarm message.

[0043] Optionally, the first recognition result and the second recognition result may be received by the server or the control center, and corresponding instructions may be issued according to the first recognition result and the second recognition result.

[0044] It can be understood that when the first recognition result determines that there is an operation risk, it means that the elevator has at least one fault of rushing to the top, squatting at the bottom, falling off the ladder, abnormal ladder movement, non-level stop, abnormal shaking, overspeeding, abnormal start-up, power outage, button alarm and abnormal door closing; when the second recognition result determines that there is an operation risk, it means that the elevator has dangerous violations such as electric vehicles entering the elevator, smoking or gas tanks entering the elevator; therefore, when either the first recognition result or the second recognition result indicates that the elevator has an operation risk, the service end or the control center can control the elevator to send an alarm message.

[0045] In some implementations, different control strategies can also be implemented according to different operational risks. For example, if the first recognition result indicates that there is an operational risk, an alarm message will be sent to the management personnel to deal with the elevator failure in a timely manner; if the second recognition result indicates that there is an operational risk, the elevator will be controlled to trigger an audible and visual alarm, and at the same time the elevator will be controlled not to close the door, so as to avoid serious elevator accidents caused by violations.

[0046] In this embodiment, fault identification is performed by collecting perception data from the IoT perception terminal associated with the elevator to obtain a first identification result; abnormal elevator riding behavior is identified by collecting monitoring videos from the video monitoring equipment in the elevator to obtain a second identification result. The elevator safety is monitored from two aspects: elevator failures and illegal elevator riding behavior. When any elevator operation risk occurs, the elevator is controlled to send out an alarm message, so as to promptly discover unsafe factors in the elevator operation, improve the elevator operation safety, and avoid accidents.

[0047] Based on the above embodiments, Figure 2 A flow chart of another elevator safety monitoring method provided in an embodiment of the present application. Figure 2 As shown, the elevator safety monitoring method includes the following steps:

[0048] S201, collecting perception data of at least one IoT perception terminal associated with the elevator, and based on the perception data, performing fault identification on the elevator to obtain a first identification result.

[0049] In the embodiment of the present application, the implementation method of step S201 can be implemented by any of the methods in the embodiments of the present disclosure, which is not limited here and will not be repeated.

[0050] S202, collecting surveillance video from the video surveillance equipment in the elevator, and identifying abnormal elevator riding behavior based on the surveillance video to obtain a second identification result.

[0051] In the embodiment of the present application, the implementation method of step S202 can be implemented by any of the methods in the embodiments of the present disclosure, which is not limited here and will not be repeated.

[0052] S203, in response to at least one of the first recognition result and the second recognition result indicating that the elevator has an operation risk, controlling the elevator to issue an alarm message.

[0053] In the embodiment of the present application, the implementation method of step S203 can be implemented by any of the methods in the embodiments of the present disclosure, which is not limited here and will not be repeated.

[0054] S204, sending elevator operation data to the elevator car display screen in the elevator, and displaying the elevator operation status.

[0055] In some implementations, the car display screen has at least the function of data display to display the operating status of the elevator; the elevator operation data may include a first recognition result and a second recognition result to determine the operating status of the elevator. The operating status of the elevator may be the current operating status of the elevator, such as the elevator is normal or the elevator is faulty.

[0056] In some implementations, the cabin display screen can also have the function of data analysis, with computing chips and artificial intelligence algorithms built into the cabin display screen to analyze data through artificial intelligence algorithms and computing chips.

[0057] Optionally, the car display screen can store the received elevator operation data and obtain the historical operation data of the elevator. The historical operation data refers to the operation data generated when the elevator was running in a historical time period, including all data from the initial operation of the elevator after installation to the current operation.

[0058] In some implementations, the historical operation data may also include the historical fault data of the elevator, that is, the fault conditions and maintenance conditions that occurred during the period from the initial installation and operation of the elevator to the current operation, so as to determine the usage information of the elevator in more detail.

[0059] Furthermore, a comprehensive evaluation result of the elevator is determined based on the historical operating data and the elevator operating data, that is, data analysis and data prediction are performed based on the historical operating data of the elevator and the currently running elevator operating data to determine the comprehensive evaluation result of the elevator, wherein the comprehensive evaluation result includes the comprehensive score of the elevator, the predicted service life of the main components and accessories of the overall life of the elevator, and the remaining service life of the main components and accessories of the overall life of the elevator.

[0060] In some implementations, the comprehensive score of an elevator refers to the score of the overall condition of the elevator, such as different score results such as good, excellent, and poor, to reflect the current health of the elevator; the predicted service life of an elevator refers to the service life of major components and accessories predicted based on the actual operating conditions of the elevator, and the remaining service life of the major components and accessories of the overall life of the elevator is determined based on the predicted service life and the actual service life.

[0061] Furthermore, the comprehensive evaluation results can be displayed on a car display screen in the elevator so that relevant personnel can know the elevator-related information more clearly.

[0062] In some implementations, the multi-dimensional data of the elevator can also be monitored; the multi-dimensional data includes the elevator's basic data, operation monitoring data, maintenance data, annual inspection data, fault data and rescue data; based on the multi-dimensional monitoring data, the elevator's IoT supervision information is generated; based on the IoT supervision information, the elevator's comprehensive safety operation detection service is implemented. The IoT supervision information is collected and viewed by relevant regulatory departments, which is conducive to relevant personnel mastering the elevator's real-time detection data, ensuring the safe operation of the elevator with multi-dimensional data, and improving the efficiency of elevator safety supervision.

[0063] In some implementations, multi-dimensional monitoring data of the property to which the elevator belongs can also be obtained; the multi-dimensional monitoring data may include elevator data, on-site maintenance data, fault data, on-site repair data, and reporting and complaint data, etc.; based on the multi-dimensional monitoring data of the property to which it belongs, the data category and chart type corresponding to each dimension are determined.

[0064] Optionally, chart types may include histograms, line charts, bar charts or pie charts; the monitoring data of each dimension is processed according to the data type corresponding to the dimension, and the statistical chart corresponding to the dimension is generated in combination with the chart type corresponding to the dimension; that is, based on the chart type corresponding to each dimension, the corresponding monitoring data is statistically generated to obtain the corresponding statistical chart, which presents the multi-dimensional monitoring data of the elevator more intuitively and clearly, and can also support the provision of basic information query services such as basic elevator information, maintenance unit information and user unit information, thereby improving data management efficiency.

[0065] In some implementations, execution data of elevator maintenance tasks may also be collected; based on the execution data of the maintenance tasks, quality assessment information of the maintenance tasks may be generated; based on the maintenance tasks and the quality assessment information, maintenance management information of the elevator may be generated.

[0066] It can be understood that the execution data of the maintenance task refers to the data in the process of executing the maintenance task. The completion of the maintenance task is evaluated or scored based on the execution data of the maintenance task, thereby generating quality assessment information; based on the maintenance task and the quality assessment information corresponding to the maintenance task, the maintenance management information of the elevator is generated. For example, the maintenance task of each maintenance and the quality assessment information of the maintenance task are counted to obtain the maintenance management information. According to the maintenance management information, the quality assessment information corresponding to each maintenance task can be queried to determine the status of each maintenance, thereby providing more convenient maintenance management for maintenance-related units, and realizing supervision services for operation planning, on-site verification, process supervision, on-site signature, on-site pictures and operation evaluation.

[0067] In some implementations, work orders can also be sent to mobile devices associated with the elevator, including maintenance work orders and rescue work orders, so that the mobile device can view the required work orders at any time. Optionally, the cause of the elevator failure corresponding to the work order fed back by the mobile terminal can also be received; the process corresponding to the work order is obtained, and the record information corresponding to the process node is obtained to generate an electronic record of the work order; when the work order is a maintenance work order, the maintenance work order will be pushed to the mobile device corresponding to the maintenance personnel, and the corresponding electronic record will be generated through the process record information such as maintenance personnel signing in, on-site maintenance, uploading maintenance content, and signing out after completing maintenance; when the work order is a rescue work order, the cause of the elevator failure will be fed back after the rescue is completed, and the real-time video and voice intercom functions of the video surveillance data can also be used to extract the record information in the maintenance, and generate an electronic record of the work order based on the record information to achieve transparent management of the maintenance process.

[0068] Optionally, it is also possible to receive work order query information from a mobile device, and obtain at least one historical work order to be queried based on the work order query information; obtain electronic records of historical work orders, and feed them back to the mobile device; that is, determine at least one corresponding historical work order based on the work order query information of the mobile device, and feed back electronic records related to the historical work orders to the mobile device, so as to realize real-time viewing of maintenance work orders, realize transparent management of the maintenance process, and enhance the user experience of equipment users.

[0069] In this embodiment, this embodiment identifies elevator faults through the sensing data of the IoT sensing terminal associated with the elevator to obtain a first recognition result; identifies abnormal elevator riding behavior through the monitoring video of the video monitoring device in the elevator to obtain a second recognition result, and issues an alarm when the first recognition result or the second recognition result indicates that the elevator is at risk, thereby improving the safety of elevator operation; further, the elevator operation status is displayed through the car display screen, and the comprehensive score of the elevator and the predicted life of the main components and accessories of the elevator are obtained by combining the historical operation data and the elevator operation data, so as to more accurately control the operation of the elevator and check for hidden dangers; further, different elevator data are aggregated and processed for the management of elevators by the regulatory department and the property department, and the maintenance tasks of the elevator are evaluated to determine the corresponding quality assessment information, thereby generating maintenance management information, and efficiently managing elevator-related data digitally, giving full play to the convenient advantages of Internet technologies such as the Internet of Things and big data, and constructing comprehensive data information management for elevators. Corresponding electronic records can also be determined and saved based on maintenance work orders and rescue work orders, thereby improving the automation, intelligence, efficiency and paperless data management of elevators, tracking the records of different work orders for elevator faults, and improving the comprehensive safety management capabilities of elevators.

[0070] In order to implement the above embodiments, the present application also proposes an elevator safety monitoring system.

[0071] Figure 3 This is a schematic diagram of the structure of an elevator safety monitoring system provided in an embodiment of the present application. Figure 3 As shown, the elevator safety monitoring system includes:

[0072] At least one IoT sensing terminal is used to collect the sensing data of the elevator, and based on the sensing data, identify the elevator fault to obtain a first identification result. Optionally, the IoT sensing terminal may include one or more built-in sensors (including but not limited to gyroscopes, vibration sensors, and rangefinders, etc.), computing chips, and artificial intelligence algorithms, that is, based on the sensor in the IoT sensing terminal, the sensing data is collected, and the computing chip analyzes the sensing data to realize elevator fault identification and obtain a first identification result; wherein, the elevator fault may include but is not limited to top rush, bottom squat, fall, abnormal elevator movement, non-level stop, abnormal shaking, overspeed, abnormal start, power outage, button alarm, abnormal door closing, etc.

[0073] The video surveillance device is used to collect surveillance videos in the elevator, and identify abnormal elevator behaviors based on the surveillance videos to obtain a second recognition result. Optionally, the video surveillance device may also include a computing chip and a corresponding artificial intelligence algorithm, and the surveillance video is acquired by a video acquisition device such as a camera in the video surveillance device, and the computing chip identifies abnormal elevator behaviors based on the surveillance videos to obtain a second recognition result; wherein, abnormal elevator behaviors may include dangerous behaviors such as carrying flammable and explosive items such as electric vehicles in the elevator, smoking, and gas cylinders in the elevator.

[0074] A safety monitoring component is used to control the elevator to send out an alarm message when at least one of the first recognition result and the second recognition result indicates that there is an operation risk of the elevator; in some implementations, when the first recognition result indicates that there is an operation risk, an early warning message can be sent to the management personnel to notify the management personnel to deal with it as soon as possible; when the second recognition result indicates that there is an operation risk, an audible and optical alarm can be issued, and the elevator door can be controlled not to close, so as to stop abnormal elevator riding behavior.

[0075] In some implementations, the elevator safety monitoring system also includes a car display screen for receiving elevator operation data and displaying the operating status of the elevator; the operating status of the elevator may include stop, overload, elevator rising, elevator descending, elevator door opening, current floor, speed, non-level floor, and elevator door closing.

[0076] In some implementations, the car display screen is also used to obtain the historical operation data of the elevator, and determine the comprehensive evaluation result of the elevator based on the historical operation data and the elevator operation data. The comprehensive evaluation result includes the comprehensive score of the elevator, the predicted service life of the main components and accessories of the elevator, and the remaining service life of the main components and accessories of the elevator, and the comprehensive evaluation result is displayed; optionally, the car display screen may also include a computing chip for data processing, obtaining the historical operation data of the elevator and the elevator operation data to perform elevator performance evaluation and life prediction, so as to obtain a comprehensive score reflecting whether the elevator performance is good, the predicted service life of the elevator, and the remaining service life of the main components and accessories of the elevator, and display them on the car display screen.

[0077] In some implementations, the elevator safety monitoring system also includes an Internet of Things monitoring unit, which is used to monitor the multi-dimensional data of the elevator; the multi-dimensional data includes the elevator's basic data, operation monitoring data, maintenance data, fault data, annual inspection data and rescue data, and based on the multi-dimensional monitoring data, the elevator's Internet of Things supervision information is generated; the collection and viewing of the Internet of Things supervision information is achieved through the Internet of Things monitoring unit, which is conducive to supervisors to conduct real-time viewing of elevator data based on the Internet of Things monitoring unit, thereby improving the efficiency of elevator supervision.

[0078] In some implementations, the elevator safety monitoring system also includes a property intelligent service unit, which is used to obtain multi-dimensional monitoring data of the property to which the elevator belongs, determine the data category and chart type corresponding to each dimension based on the multi-dimensional monitoring data of the property, and process the monitoring data of each dimension according to the data type corresponding to the dimension, and generate a statistical chart corresponding to the dimension in combination with the chart type corresponding to the dimension.

[0079] Optionally, the multi-dimensional monitoring data may include elevator data, on-site maintenance data, fault data, on-site repair data, and report complaint data, etc.; based on the multi-dimensional monitoring data of the property, the data category and chart type corresponding to each dimension are determined. The chart type may include histograms, line charts, bar charts, or pie charts, etc. Based on the chart type corresponding to the monitoring data of each dimension, the corresponding monitoring data is statistically generated to obtain the corresponding statistical charts. The property intelligent service unit presents the elevator multi-dimensional monitoring data more intuitively, and can also support the provision of basic information query services such as basic elevator information, maintenance unit information, and user unit information, thereby improving the management efficiency of the elevator data of the property.

[0080] In some implementations, the elevator safety monitoring system also includes a maintenance intelligent service unit, which is used to collect execution data of the elevator's maintenance tasks, generate quality assessment information of the maintenance tasks based on the execution data of the maintenance tasks, and generate elevator maintenance management information based on the maintenance tasks and the quality assessment information.

[0081] It can be understood that the execution data of the maintenance task refers to the data in the process of executing the maintenance task. The completion status of the maintenance task is evaluated or scored based on the execution data of the maintenance task, thereby generating quality assessment information. The maintenance management information of the elevator is generated based on the quality assessment information and the maintenance task. Based on the maintenance intelligent service unit, the maintenance management information can be viewed, and the supervision services of operation planning, on-site verification, process supervision and operation evaluation of the maintenance process can be realized. It can also realize the maintenance unit filing, maintenance data analysis, maintenance plan formulation, on-site maintenance records and property evaluation scoring as well as maintenance basic information management services.

[0082] In some implementations, the elevator safety monitoring system also includes a maintenance applet, which is used to send work orders to mobile devices associated with the elevator. The work orders include maintenance work orders, repair work orders and rescue work orders, and receive the cause of the elevator failure corresponding to the work order fed back by the mobile terminal, as well as obtain the process corresponding to the work order, and obtain the record information corresponding to the process node to generate an electronic record of the work order; the rescue work order can feedback the cause of the elevator failure when the rescue arrives on site and the rescue is completed, and view the real-time video and voice intercom functions through the Internet of Things monitoring unit to generate an electronic record of the work order; the maintenance work order can generate an electronic record of the work order and store it during the maintenance process through processes such as maintenance personnel signing in, on-site maintenance, uploading maintenance content, and signing out after maintenance is completed, so as to achieve the purpose of traceability and queryability of maintenance records.

[0083] Optionally, the maintenance applet is also used to receive work order query information from the mobile device, and based on the work order query information, obtain at least one historical work order to be queried, and obtain electronic records of historical work orders, and feed back to the mobile device. Maintenance personnel can check the maintenance calendar and related records at any time based on the maintenance applet to assist in maintenance work and realize transparent management of the maintenance process.

[0084] In this embodiment, the elevator safety monitoring system acquires sensing data and identifies faults through at least one IoT sensing terminal to obtain a first identification result, acquires monitoring video and identifies abnormal elevator riding behavior through video monitoring equipment to obtain a second identification result, and determines whether to issue an alarm based on the safety monitoring component and the first and second identification results, thereby improving the efficiency of elevator fault troubleshooting and ensuring the safe operation of the elevator; further, the comprehensive score of the elevator and the service life of the main components and accessories of the elevator are predicted through the car display screen, and the IoT data of the elevator is used as support, combined with historical operation data to obtain a comprehensive evaluation result, and displayed on the car display screen, so as to facilitate elevator management personnel to perform elevator maintenance and management; The IoT monitoring unit is used to further summarize and process elevator data to be managed by the regulatory authorities, thereby improving the regulatory authorities' management of elevators. The property intelligent service unit is used to determine the elevator's multi-dimensional monitoring data and display it in different forms, which is convenient for the property department to view. The maintenance intelligent service unit is used to summarize and process the relevant information of the elevator's maintenance tasks, which is convenient for the maintenance unit to view the maintenance management information. The maintenance applet is used to view and manage work orders, realize transparent management of the maintenance process, track emergency rescue records, improve the elevator's comprehensive safety capabilities, give full play to the elevator safety intelligent supervision mechanism, realize early risk control and efficient fault detection, and ensure the safe operation of elevators.

[0085] Figure 4 The overall logic block diagram of an elevator safety monitoring system provided in the embodiment of the present application is shown in FIG. Figure 4As shown, the elevator safety monitoring system includes a perception layer, a transmission layer, a data layer, an application layer, an interaction layer and a user layer, wherein the perception layer is used for data collection, including at least one IoT perception terminal (elevator operation monitoring terminal) and a video monitoring device (AI monitoring camera), and transmits the collected data according to the wired or wireless network of the transmission layer, and the data layer receives and analyzes the transmitted data to determine whether there is a first recognition result of an elevator failure and a second recognition result of abnormal elevator riding behavior; historical operation data can also be obtained, and the predicted service life of the main components and accessories of the elevator and the comprehensive score of the elevator can be determined according to the historical operation data and the elevator operation data, and the elevator operation status, comprehensive score and predicted service life of the main components and accessories can be displayed through the car display screen, and when the first recognition result or the second recognition result indicates that there is a risk, an alarm can be issued through the security monitoring component of the data layer, or an alarm can be issued by the alarm button of the car display screen; further, the application layer is a management unit provided for different user layers, and the user layer can include but It is not limited to industry regulatory departments, elevator maintenance units, elevator users (properties they belong to), and the public passengers who take the elevators; the application layer may include an Internet of Things monitoring unit, which is suitable for industry regulatory departments to conduct Internet of Things supervision of elevator safety, and can realize management functions such as trapped alarm, uncivilized statistics, real-time detection, and basic file query; the property intelligent service unit is suitable for elevator users (properties they belong to) to carry out intelligent service management of elevator property, providing services such as property large screen, safety officer management, elevator management, real-time monitoring, maintenance signature, and alarm management; the maintenance intelligent service unit is suitable for elevator maintenance units to provide intelligent elevator maintenance services, and can realize the evaluation and management of maintenance plans and on-site maintenance; the maintenance applet is suitable for property safety officers, maintenance personnel, and rescue personnel to carry out timely maintenance and rescue, and can realize the query of maintenance calendar, emergency rescue, and fault alarm. The user layer and the application layer are interactively displayed through the interactive layer. The interactive layer includes the user's mobile device, the display screen of the regulatory department, and the personal computer (Personal Computer, PC) platform of the elevator maintenance unit and the elevator user unit, giving full play to the intelligent supervision mechanism of elevator safety and realizing accurate risk control and elevator safety management. It can be understood that the above-mentioned elevator safety monitoring system actually collects and transmits data under a standard specification system, and at the same time can achieve security protection of data information through an information security assurance system to ensure information security.

[0086] In order to implement the above embodiments, the present application also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.

[0087] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0088] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.

[0089] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0090] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0091] The present application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, the present disclosure is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, the risk can be minimized by limiting data collection and deleting the data. In addition, when applicable, such personal information is de-identified to protect the privacy of the user.

[0092] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0093] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0094] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0095] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0096] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0097] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0098] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0099] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. An elevator safety monitoring method, characterized in that: The method comprises: Collecting sensing data of at least one IoT sensing terminal associated with the elevator, and based on the sensing data, performing fault identification on the elevator to obtain a first identification result; Collecting surveillance video from a video surveillance device in the elevator, and identifying abnormal elevator riding behavior based on the surveillance video to obtain a second identification result; In response to at least one of the first recognition result and the second recognition result indicating that the elevator has an operation risk, the elevator is controlled to issue an alarm message.

2. The method according to claim 1, characterized in that The method further comprises: The elevator operation data is sent to the elevator car display screen in the elevator, and the operation status of the elevator is displayed.

3. The method according to claim 1 or 2, characterized in that: The method further comprises: Acquire historical operation data of the elevator, and determine a comprehensive evaluation result of the elevator based on the historical operation data and the elevator operation data, wherein the comprehensive evaluation result includes a comprehensive score of the elevator, a predicted service life of main components and accessories of the overall life of the elevator, and a remaining service life of main components and accessories of the overall life of the elevator; The comprehensive evaluation result is displayed on a car display screen in the elevator.

4. The method according to claim 1, characterized in that The method further comprises: Monitoring the multi-dimensional data of the elevator; the multi-dimensional data includes basic data, operation monitoring data, maintenance data, fault data, annual inspection data and rescue data of the elevator; Based on the multi-dimensional monitoring data, the Internet of Things supervision information of the elevator is generated.

5. The method according to claim 1, characterized in that The method further comprises: Obtain multi-dimensional monitoring data of the property to which the elevator belongs; Determine the data category and chart type corresponding to each dimension based on the multi-dimensional monitoring data of the property; The monitoring data of each dimension is processed according to the data type corresponding to the dimension, and a statistical chart corresponding to the dimension is generated in combination with the chart type corresponding to the dimension.

6. The method according to claim 1, characterized in that The method further comprises: Collecting execution data of the maintenance task of the elevator; Generating quality assessment information of the maintenance task based on the execution data of the maintenance task; Based on the maintenance task and the quality assessment information, maintenance management information of the elevator is generated.

7. The method according to claim 1, characterized in that The method further comprises: Sending a work order to a mobile device associated with the elevator, wherein the work order includes a maintenance work order, a repair work order, and a rescue work order; Receiving the elevator failure cause corresponding to the work order fed back by the mobile terminal; The process corresponding to the work order is obtained, and the record information corresponding to the process node is obtained to generate an electronic record of the work order.

8. The method according to claim 7, characterized in that The method further comprises: Receiving work order query information from the mobile device, and acquiring at least one historical work order to be queried according to the work order query information; The electronic record of the historical work order is obtained and fed back to the mobile device.

9. An elevator safety monitoring system, characterized in that: The system comprises: At least one IoT sensing terminal, used to collect sensing data of the elevator, and based on the sensing data, perform fault identification on the elevator to obtain a first identification result; A video monitoring device is used to collect monitoring videos in the elevator, and identify abnormal elevator riding behaviors based on the monitoring videos to obtain a second identification result; A safety monitoring component is used to control the elevator to issue an alarm message when at least one of the first recognition result and the second recognition result indicates that the elevator has an operation risk.

10. The system according to claim 9, characterized in that The system further comprises: The car display screen is used to receive elevator operation data and display the operating status of the elevator.

11. The system according to claim 9 or 10, characterized in that: The car display screen is also used to obtain the historical operation data of the elevator, and determine the comprehensive evaluation result of the elevator based on the historical operation data and the elevator operation data, the comprehensive evaluation result including the comprehensive score of the elevator, the predicted service life of the main components and accessories of the overall life of the elevator, and the remaining service life of the main components and accessories of the overall life of the elevator, and display the comprehensive evaluation result.

12. The system according to claim 9, characterized in that The system further comprises: The Internet of Things monitoring unit is used to monitor the multi-dimensional data of the elevator; the multi-dimensional data includes the basic data, operation monitoring data, maintenance data, fault data, annual inspection data and rescue data of the elevator, and based on the multi-dimensional monitoring data, the Internet of Things supervision information of the elevator is generated.

13. The system according to claim 9, characterized in that The system further comprises: The property intelligent service unit is used to obtain multi-dimensional monitoring data of the property to which the elevator belongs, determine the data category and chart type corresponding to each dimension based on the multi-dimensional monitoring data of the property, process the monitoring data of each dimension according to the data type corresponding to the dimension, and generate a statistical chart corresponding to the dimension in combination with the chart type corresponding to the dimension.

14. The system according to claim 9, characterized in that The system further comprises: The maintenance intelligent service unit is used to collect execution data of the maintenance task of the elevator, generate quality assessment information of the maintenance task based on the execution data of the maintenance task, and generate maintenance management information of the elevator based on the maintenance task and the quality assessment information.

15. The system according to claim 9, characterized in that The system further comprises: The maintenance applet is used to send work orders to the mobile device associated with the elevator, wherein the work orders include maintenance work orders, repair work orders and rescue work orders, and receive the elevator failure cause corresponding to the work order fed back by the mobile terminal, and obtain the process corresponding to the work order, and obtain the record information corresponding to the process node to generate an electronic record of the work order.

16. The system according to claim 15, characterized in that The maintenance applet is also used to receive work order query information from the mobile device, and obtain at least one historical work order to be queried based on the work order query information, as well as obtain electronic records of the historical work orders, and feed them back to the mobile device.

17. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 8.

18. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 8 when executed by a processor.

19. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 8 when being executed by a processor.

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