An elevator person-trapping detection method and related device

Abstract

The application discloses an elevator trapping detection method and related equipment, and the method comprises the following steps: continuously acquiring monitoring signals of a camera device and a monitoring terminal device in a target elevator; wherein, the monitoring signals comprise personnel states; when any device among the camera device and the monitoring terminal device is offline, determining the online state of the other device based on the monitoring signals; when the other device is offline, performing power failure trapping judgment according to the personnel state corresponding to the last collected monitoring signal of each device before the device is offline, and obtaining the power failure trapping result of the target elevator. Through continuously acquiring the monitoring signals of the camera device and the monitoring terminal device, and performing power failure trapping judgment by using the personnel state collected for the last time before the device is offline, the application can effectively avoid the situation that all devices are invalid due to power failure and cannot detect trapping, improve the reliability and robustness of trapping detection, reduce the dependence on manual monitoring, and can be widely applied to the technical field of data processing.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a method and related equipment for detecting people trapped in elevators. Background Technology

[0002] With the implementation of elevator regulatory requirements, it is now common practice to detect elevator malfunctions and promptly report them to maintenance personnel / managers. Among these, entrapment detection is a key aspect of malfunction detection. Entrapment detection involves checking if an elevator malfunction has occurred, preventing people inside the car from escaping on their own. Currently, this is often done using cameras or monitoring terminals.

[0003] However, relying solely on cameras for monitoring has several drawbacks. Firstly, it requires someone to constantly monitor the screen, which is quite demanding. Secondly, relying solely on visual means that elevator malfunctions are sometimes not easily detected. While monitoring solely through surveillance equipment can provide more information about the elevator's status and lead to more accurate malfunction assessments, and allows for timely reporting of faults, the close integration of this equipment with the actual elevator signals means that fault detection can easily fail if the elevator experiences a power outage. In certain scenarios, when an elevator loses power, the elevator camera, monitoring terminal, and related safety sensors are likely to lose power simultaneously. After the power outage, the sensor failure, coupled with the power failure and network disconnection of the equipment, makes it difficult for users to know the status of the elevator and whether anyone is trapped. Summary of the Invention

[0004] The main objective of this invention is to provide an elevator entrapment detection method, device, electronic device, storage medium, and program product, aiming to solve at least one problem of the prior art.

[0005] To achieve the above objectives, one aspect of the present invention provides an elevator entrapment detection method, the method comprising: Continuously acquire monitoring signals from camera devices and monitoring terminal devices in the target elevator; among which, the monitoring signals include the status of personnel; When either the camera device or the monitoring terminal device goes offline, the online status of the other device is determined based on the monitoring signal. When another device goes offline, the power outage and entrapment judgment is made based on the personnel status corresponding to the last monitoring signal collected before each device goes offline, and the power outage and entrapment result of the target elevator is obtained.

[0006] In some embodiments, the method further includes the following steps: The status of offline devices is verified based on a preset window time.

[0007] In some embodiments, the status verification of disconnected devices is performed based on a preset window time, including the following steps: The heartbeat mechanism is used to periodically send heartbeat packets to offline devices; If a disconnected device responds to any heartbeat packet within the window time, the disconnected device is identified as being in a network fluctuation state. If a device that has gone offline does not return any heartbeat response within the window period, it is determined that the device has gone offline and is in a power outage state.

[0008] In some embodiments, both the camera device and the monitoring terminal device are equipped with a power failure detection circuit and a large capacitor of preset capacity. When either the camera device or the monitoring terminal device goes offline, the online status of the other device is determined based on the monitoring signal, including the following steps: In response to the trigger signal from the power failure detection circuit of either the camera device or the monitoring terminal device, an emergency power supply is initiated via a large capacitor, triggering the corresponding device to issue a power failure alarm; the power failure alarm is integrated into the monitoring signal. If a power failure alarm is detected in the monitoring signal of either the camera device or the monitoring terminal device, the online status of the other device can be determined based on whether a power failure alarm is detected in the monitoring signal of the other device. Specifically, if a power failure alarm is detected in the monitoring signal, the corresponding device is determined to be offline; if no power failure alarm is detected in the monitoring signal, the corresponding device is determined to be not offline.

[0009] In some embodiments, the monitoring signal includes a first monitoring signal from the camera device and a second monitoring signal from the monitoring terminal device. The second monitoring signal further includes an elevator operation signal. When the monitoring terminal device is not offline, the method further includes the following steps: The operating status of the target elevator is determined based on the elevator operation signals; When the operating status is out of service and the personnel status in the second monitoring signal is "personnel present", the entrapment event is reported through the monitoring terminal device.

[0010] In some embodiments, the method further includes the following steps: In response to the reporting of a person entrapment incident, the system acquires the first monitoring signal from the camera device at the target time point; where the target time point represents the time point corresponding to the person entrapment incident. When the first monitoring signal indicates that someone is in the elevator, a entrapment event notification is sent to the maintenance personnel. When the first monitoring signal indicates that no one is present, the first verification information is sent to the managed object so that the managed object can make a secondary confirmation based on the monitoring signal corresponding to the target time node or make a communication confirmation based on the emergency communication equipment of the target elevator.

[0011] In some embodiments, the determination of power outage entrapment is made based on the personnel status corresponding to the last monitoring signal collected before each device goes offline, and the result of power outage entrapment of the target elevator is obtained, including the following steps: If both the camera equipment and the monitoring terminal equipment show that someone is present, it is determined that the target elevator has experienced a power outage and is trapping people. If the personnel status of both the camera equipment and the monitoring terminal equipment is unmanned, it is confirmed that the target elevator has not experienced a power outage and trapped anyone. If the personnel status types of the camera device and the monitoring terminal device are inconsistent, a second verification message is sent to the managed object so that the managed object can make a secondary confirmation based on the last monitoring signal collected before the device went offline or make a communication confirmation based on the emergency communication device of the target elevator.

[0012] To achieve the above objectives, another aspect of the present invention provides an elevator entrapment detection device, the device comprising: The signal acquisition module is used to continuously acquire monitoring signals from camera devices and monitoring terminal devices in the target elevator; among which, the monitoring signals include the status of personnel; The disconnection detection module is used to determine the online status of the other device based on monitoring signals when either the camera device or the monitoring terminal device goes offline. The power outage entrapment detection module is used to determine the power outage entrapment result of the target elevator when another device is offline, based on the personnel status corresponding to the last monitoring signal collected before each device went offline.

[0013] In some embodiments, the apparatus further includes a status verification module for performing the following operations: The status of offline devices is verified based on a preset window time.

[0014] In some embodiments, the monitoring signal includes a first monitoring signal from the camera device and a second monitoring signal from the monitoring terminal device. The second monitoring signal further includes an elevator operation signal. When the monitoring terminal device is not offline, the device further includes a shutdown and entrapment determination module, used to perform the following operations: The operating status of the target elevator is determined based on the elevator operation signals; When the operating status is out of service and the personnel status in the second monitoring signal is "personnel present", the entrapment event is reported through the monitoring terminal device.

[0015] To achieve the above objectives, another aspect of the present invention provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the aforementioned method.

[0016] To achieve the above objectives, another aspect of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned method.

[0017] To achieve the above objectives, another aspect of the present invention provides a computer program product, including a computer program that, when executed by a processor, implements the aforementioned method.

[0018] The embodiments of the present invention include at least the following beneficial effects: The present invention provides an elevator entrapment detection method, device, electronic device, storage medium, and program product. This solution continuously acquires monitoring signals from camera devices and monitoring terminal devices in the target elevator; wherein, the monitoring signals include personnel status; when either the camera device or the monitoring terminal device goes offline, the online status of the other device is determined based on the monitoring signal; when the other device goes offline, a power outage entrapment judgment is made based on the personnel status corresponding to the last monitoring signal collected before each device went offline, thus obtaining the power outage entrapment result of the target elevator. The embodiments of the present invention, by continuously acquiring monitoring signals (including personnel status) from camera devices and monitoring terminal devices, and making a power outage entrapment judgment based on the online status of the other device when either device goes offline, using the last personnel status collected before the disconnection, achieves redundant detection in the event of equipment power failure. This effectively avoids the situation where all devices fail due to power outage, thus improving the reliability and robustness of entrapment detection, while reducing reliance on manual monitoring. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of an implementation environment for the elevator entrapment detection method provided in this embodiment of the invention; Figure 2 This is a flowchart illustrating an elevator entrapment detection method provided in an embodiment of the present invention; Figure 3 This is a schematic flowchart illustrating the principle architecture of the elevator entrapment detection method provided in this embodiment of the invention; Figure 4 This is a schematic diagram of the structure of an elevator entrapment detection device provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of this invention; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this invention as detailed in the appended claims.

[0021] It is understood that the terms “first,” “second,” etc., used in this invention may be used herein to describe various concepts, but unless specifically stated otherwise, these concepts are not limited by these terms. These terms are used only to distinguish one concept from another. For example, first information may also be referred to as second information without departing from the scope of embodiments of the invention, and similarly, second information may also be referred to as first information. Depending on the context, the words “if,” “when,” or “in response to determination” as used herein may be interpreted as “when…” or “when…” or “in response to determination.”

[0022] The terms “at least one,” “multiple,” “each,” “any,” etc., used in this invention, “at least one” includes one, two, or more than two; “multiple” includes two or more than two; “each” refers to each of the corresponding multiple; and “any” refers to any one of the multiple.

[0023] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein is for the purpose of describing embodiments of the invention only and is not intended to limit the invention.

[0024] In related technologies, when an elevator loses power, the elevator camera, monitoring terminal, and related safety sensors are likely to lose power simultaneously. After the power outage, the sensors fail, and the equipment loses power and the network is disconnected, making it difficult for users to know the status of the elevator and whether anyone is trapped.

[0025] In view of this, this invention provides an elevator entrapment detection method and related equipment. This method continuously acquires monitoring signals from camera devices and monitoring terminal devices in the target elevator. These monitoring signals include personnel status. When either the camera device or the monitoring terminal device goes offline, the online status of the other device is determined based on the monitoring signal. When the other device is offline, a power outage entrapment judgment is made based on the personnel status corresponding to the last monitoring signal collected before each device went offline, thus obtaining the power outage entrapment result of the target elevator. This invention, by continuously acquiring monitoring signals (including personnel status) from camera devices and monitoring terminal devices, and using the online status of the other device when one device goes offline, and utilizing the last collected personnel status before the offline event to make a power outage entrapment judgment, achieves redundant detection in the event of equipment power failure. This effectively avoids situations where all equipment fails due to a power outage, thus improving the reliability and robustness of entrapment detection, while reducing reliance on manual monitoring.

[0026] It is understood that the elevator entrapment detection method provided by this invention can be applied to any computer device with data processing and computing capabilities, and this computer device can be various terminals or servers. When the computer device in the embodiment is a server, the server is an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms. Optionally, the terminal can be a smartphone, tablet, laptop, or desktop computer, but it is not limited to these.

[0027] like Figure 1 The diagram shown is a schematic representation of an implementation environment provided by an embodiment of the present invention. (Refer to...) Figure 1 The implementation environment includes at least one terminal 102 and a server 101. The terminal 102 and the server 101 can be connected via a network, either wirelessly or via a wired connection, to complete data transmission and exchange.

[0028] Server 101 can be a standalone physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms.

[0029] Additionally, server 101 can also be a node server in a blockchain network. Blockchain is a novel application model of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanisms, and encryption algorithms.

[0030] Terminal 102 can be a smartphone, tablet computer, laptop computer, desktop computer, smart speaker, smartwatch, etc., but is not limited to these. Terminal 102 and server 101 can be directly or indirectly connected via wired or wireless communication, and this embodiment of the invention does not impose any limitations.

[0031] For example, based on Figure 1 The implementation environment shown in this embodiment of the invention provides an elevator entrapment detection method. The following description uses the application of this elevator entrapment detection method in server 101 as an example. It can be understood that this elevator entrapment detection method can also be applied in terminal 102.

[0032] Reference Figure 2 , Figure 2 This is an optional flowchart of the elevator entrapment detection method provided in the embodiments of the present invention. The executing entity of the elevator entrapment detection method can be any of the aforementioned computer devices (including servers or terminals). Figure 2 The method may include, but is not limited to, steps S100 to S300.

[0033] Step S100: Continuously acquire monitoring signals from the camera equipment and monitoring terminal equipment in the target elevator; The monitoring signals include personnel status; For example, by continuously acquiring the monitoring signals from the camera devices and monitoring terminal devices in the target elevator, multi-dimensional real-time monitoring of people trapped in elevators can be achieved. In addition, if the acquisition of the monitoring signal of any device is interrupted, the online status of the corresponding device can be determined.

[0034] In some preferred embodiments, each camera has a unique serial number. The information sent by the camera to the cloud platform through the communication network, whether it is a real-time image or a status message, carries its serial number information. Therefore, the elevator cloud platform can distinguish each different camera based on the serial number information.

[0035] The same applies to monitoring terminals. Each monitoring terminal also has its own unique factory code. Based on the factory code, a unique code can be generated for each monitoring terminal on-site. The information sent by the monitoring terminal to the elevator cloud platform through the 4G network also carries its code, which the elevator cloud platform uses to deduce which terminal the information comes from.

[0036] Therefore, by pre-associating the identification information (i.e., serial number information and encoding information) of the cameras and monitoring terminals of each elevator, the monitoring equipment of each elevator can be quickly located, thereby enabling accurate differentiation and acquisition of the monitoring signals of the corresponding monitoring equipment.

[0037] In some optional implementations, the camera can be an AI camera: an AI camera can use head and shoulder sensors to determine the number of people in the camera's field of vision in real time. The camera is installed inside the elevator car, illuminating the car, and can then determine in real time whether there are people inside and how many people are there, thus determining the status of the people (occupied or empty).

[0038] Step S200: When either the camera device or the monitoring terminal device goes offline, determine the online status of the other device based on the monitoring signal; It should be noted that in some embodiments, the method may further include the following steps: verifying the status of the disconnected device based on a preset window time.

[0039] For example, in some specific implementations, the device disconnection may be caused by different situations, such as a power outage or an unstable network status. Therefore, a window time can be set to verify the status after the device disconnects (for example, if the device is out of power, it is usually accompanied by a long disconnection, while network fluctuations are only temporary disconnections).

[0040] Specifically, this embodiment of the invention verifies the status of offline devices based on a preset window time, which can distinguish between temporary faults (such as network fluctuations) and persistent faults (such as power outages), thereby reducing false alarms and missed alarms. This embodiment of the invention can improve the stability and accuracy of the entrapment detection system, ensuring that subsequent judgment processes are triggered only when the device is actually offline.

[0041] It should be noted that in some embodiments, the status verification of the offline device based on a preset window time may include the following steps: periodically sending heartbeat packets to the offline device using a heartbeat packet mechanism; when the offline device returns a response to any heartbeat packet within the window time, it is determined that the offline device is in a network fluctuation state; when the offline device does not return a response to any heartbeat packet within the window time, it is determined that the offline device is in a power outage state.

[0042] For example, in some specific implementations, a heartbeat mechanism is used for status verification. For instance, the platform sends a heartbeat every 30 seconds (the sending cycle can be adjusted according to actual needs) to confirm that the device is online. If more than three consecutive heartbeats are sent and no response is received from the device (i.e., no response to any heartbeat is received within two minutes; the specific window time or number of sending can be adjusted according to actual needs), it is considered that the camera device has lost power. If it is similar to: ① the return of a certain packet is lost, but the next packet can be received; ② the return can be received, but the response is very slow; these situations are considered to be network fluctuations.

[0043] Specifically, this embodiment of the invention utilizes a heartbeat mechanism to periodically send heartbeat packets to offline devices and determines the device status (network fluctuation or power outage) based on the response within a window time. The status verification scheme of this embodiment of the invention can enhance the system's ability to monitor the online status of devices, reduce false alarms caused by network problems, and improve the system's response speed and reliability.

[0044] It should be noted that in some embodiments, both the camera device and the monitoring terminal device are equipped with a power failure detection circuit and a large capacitor with a preset capacity. Step S200 may include the following steps: in response to the trigger signal of the power failure detection circuit of either the camera device or the monitoring terminal device, emergency power supply is started through the large capacitor and the corresponding device is triggered to issue a power failure alarm; wherein, the power failure alarm is integrated into the monitoring signal; when there is a power failure alarm in the monitoring signal corresponding to either the camera device or the monitoring terminal device, the online status of the other device is determined based on whether there is a power failure alarm in the monitoring signal corresponding to the other device; wherein, when there is a power failure alarm in the monitoring signal, the corresponding device is determined to be offline, and when there is no power failure alarm in the monitoring signal, the corresponding device is determined to be not offline.

[0045] For example, in some specific implementations, taking a camera as an example, a "power failure alarm" function can also be integrated into a specific camera: the camera's power supply circuit hardware design includes a large capacitor and a power failure detection circuit. When the camera detects that the external power supply is disconnected, it immediately sends a "power failure alarm" to the platform using the approximately several hundred milliseconds or seconds that the large capacitor can still provide, which can serve as the most direct evidence of power failure. Furthermore, the principle for implementing the "power failure alarm" function in monitoring terminal equipment is the same.

[0046] Specifically, this embodiment of the invention achieves emergency power supply and power failure alarm functions by configuring a power failure detection circuit and a large capacitor with a preset capacity in the camera device and the monitoring terminal device; when the device triggers power failure detection, it can maintain power supply briefly through the large capacitor and issue a power failure alarm (integrated in the monitoring signal), so that the system can capture the power outage event in a timely manner; this embodiment of the invention can ensure that the device disconnection situation can be quickly determined based on the power failure alarm in the early stage of power outage, improving the timeliness and accuracy of power outage entrapment detection.

[0047] Step S300: When another device is offline, the power outage entrapment judgment is made based on the personnel status corresponding to the last monitoring signal collected before each device went offline, and the power outage entrapment result of the target elevator is obtained. It should be noted that in some embodiments, the determination of whether a power outage has resulted in entrapment is made based on the personnel status corresponding to the last monitoring signal collected before each device went offline, to obtain the result of the power outage entrapment of the target elevator. This may include the following steps: if the personnel status of both the camera device and the monitoring terminal device is "occupied", it is determined that the target elevator has experienced a power outage entrapment; if the personnel status of both the camera device and the monitoring terminal device is "unoccupied", it is determined that the target elevator has not experienced a power outage entrapment; if the personnel status types of the camera device and the monitoring terminal device are inconsistent, a second verification message is sent to the management object so that the management object can perform a secondary confirmation based on the last monitoring signal collected before the device went offline or perform a communication confirmation based on the emergency communication device of the target elevator.

[0048] For example, in some specific implementations, when one device confirms it has gone offline, the online status of the other device is checked immediately. If only one device goes offline, it's more likely due to network fluctuations or maintenance work. If both devices go offline, it's checked whether both devices believe someone was previously trapped. If so, there's a high probability of a power outage trapping someone. If not, and both devices indicate no one is trapped, it's confirmed that no power outage trapping anyone occurred. If the two devices' statuses are inconsistent, a second confirmation is performed. Specifically, if both indicate someone is trapped, maintenance personnel are directly notified for rescue. If the two devices report inconsistent information, customer service personnel perform a second confirmation. This achieves division of labor and reduces unnecessary work.

[0049] Specifically, this embodiment of the invention clarifies the logic for determining whether someone is trapped due to a power outage. When the personnel status of the camera device and the monitoring terminal device are consistent (both are either occupied or unoccupied), the trapped person result is directly determined. When the status is inconsistent, secondary confirmation or communication confirmation is performed through the management object. This embodiment of the invention provides a flexible decision-making mechanism that can solve the judgment problem when there is a signal conflict and improves the fault tolerance and user trust of power outage trapped person detection.

[0050] It should be noted that in some embodiments, the monitoring signal includes a first monitoring signal from the camera device and a second monitoring signal from the monitoring terminal device. The second monitoring signal also includes an elevator operation signal. When the monitoring terminal device is not offline, the method may further include the following steps: determining the operating status of the target elevator based on the elevator operation signal; when the operating status is a stopped state and the personnel status in the second monitoring signal is that someone is there, reporting a trapped person event through the monitoring terminal device.

[0051] For example, in some specific implementations, the monitoring terminal can obtain the elevator's operating status, determine whether there are people inside the elevator (i.e., the status of the people) through the human detection module, and obtain elevator operating signals, such as safety circuit signals, car door lock signals, maintenance signals, and leveling signals. Based on the above information, for example, the following entrapment judgment logic can be implemented: When there are people in the elevator car: 1) The elevator will not start for 3 minutes if the car door lock signal remains closed; 2) If the leveling signal is invalid, the elevator will not start even after 1 minute of inactivity; 3) When the leveling signal is valid, the elevator car door lock signal remains valid for 1 minute after the elevator stops; 4) The elevator doors remained closed and did not move for 2 minutes, and during this period, people were detected inside the elevator for an extended period of time; All four situations described above can be considered as people being trapped. The above solutions are for when the elevator power supply is normal. When the monitoring terminal equipment is not disconnected, people being trapped can be monitored based on the elevator's operating status determined by the personnel status and elevator operation signals.

[0052] Specifically, this embodiment of the invention is based on the second monitoring signal (including elevator operation signal and personnel status) of the monitoring terminal device. When the monitoring terminal device is not offline, the entrapment event is directly reported by combining the elevator operation status and personnel status. This embodiment of the invention can realize entrapment detection by multi-signal fusion, reduce the reliance on visual judgment, and further improve the accuracy and efficiency of detection. It is especially suitable for scenarios where the elevator is powered normally but a fault occurs.

[0053] It should be noted that, in some embodiments, the method may further include the following steps: in response to the reporting action of a entrapment event, acquiring a first monitoring signal from the camera device at a target time node; wherein, the target time node represents the time node corresponding to the entrapment event; when the first monitoring signal indicates that someone is present, sending an entrapment event notification for the target elevator to the maintenance personnel; when the first monitoring signal indicates that no one is present, sending first verification information to the management object, so that the management object can perform secondary confirmation based on the monitoring signal corresponding to the target time node or perform communication confirmation based on the emergency communication device of the target elevator.

[0054] For example, in some specific implementations, the camera and the monitoring terminal can be used together to make a comprehensive judgment based on the personnel status monitored by the camera and the entrapment detection results of the monitoring terminal.

[0055] Specifically, in response to a reported entrapment incident, this embodiment of the invention obtains the first monitoring signal from the camera device at the target time point for secondary confirmation, or confirms the connection through emergency communication equipment. This embodiment of the invention provides a multi-verification mechanism. When the personnel status is inconsistent, verification information is sent to the management object, avoiding false alarms caused by a single signal source, ensuring the reliability of entrapment incident notifications, and reducing the unnecessary deployment of maintenance personnel.

[0056] To explain in detail the principle of the technical solution of the present invention, the overall process of the present invention will be described below with reference to some specific embodiments. It is easy to understand that the following is an explanation of the technical principle of the present invention and should not be regarded as a limitation of the present invention.

[0057] In view of the relevant shortcomings of the prior art, embodiments of the present invention provide an elevator entrapment detection method, such as... Figure 3 As shown, in some practical application scenarios, the technical solutions of the embodiments of the present invention can be implemented as follows: The solution is coordinated with the deployment of the elevator cloud platform: the elevator cloud platform, as the information aggregation and processing terminal, can receive information transmitted back from the cameras / monitoring terminals installed on each elevator.

[0058] Each camera has a unique serial number. The information sent by the camera to the cloud platform via the 4G / 5G network, whether it is real-time images or status messages, carries its serial number information. Therefore, the elevator cloud platform can distinguish each different camera based on the serial number information.

[0059] The same applies to monitoring terminals. Each monitoring terminal also has its own unique factory code. Based on the factory code, a unique code can be generated for each monitoring terminal on-site. The information sent by the monitoring terminal to the elevator cloud platform through the 4G / 5G network also carries its code, which the elevator cloud platform uses to deduce which terminal the information comes from.

[0060] When the power supply is good and all parts are working normally, the cloud platform can perform routine judgments according to normal logic; however, when the elevator loses power, the data from the camera and monitoring terminal at the moment of power failure is difficult to be transmitted back to the cloud platform. Therefore, if you want to determine whether someone is trapped due to a power outage, certain detection and processing are required.

[0061] AI cameras are used: These cameras can detect the number of people in the elevator car in real time by scanning heads and shoulders. The cameras are installed inside the elevator car and illuminate the cabin, allowing for real-time determination of whether there are people inside and how many people are in the car.

[0062] The cloud platform acquires and records the number of people inside the elevator car in real time. When a camera is detected to be disconnected (the platform cannot acquire information from the camera for two consecutive minutes), the system uses the most recently recorded number of people inside the car. If the number of people is not zero, a power outage and entrapment incident may have occurred.

[0063] In some optional implementations, a heartbeat mechanism can be used. The platform sends a heartbeat packet every 30 seconds to confirm that the device is online. If no response is received from the device after sending heartbeat packets more than 3 times in a row, it is considered that the camera device has lost power. If the situation is similar to: ① the response of a certain packet is lost, but the next packet is received; ② the response is received, but the response is very slow; these situations are considered to be network fluctuations. In some optional implementations, a "power failure alarm" function is also available for specific cameras: the camera has a large capacitor and a power failure detection circuit in its power supply circuit hardware design. When the camera detects that the external power supply is disconnected, it can immediately send a "power failure alarm" to the platform using the few hundred milliseconds or a few seconds that the large capacitor can still provide, which can serve as the most direct evidence of power failure.

[0064] Cameras are often used in conjunction with monitoring terminals. These terminals can acquire the elevator's operating status, detect the presence of people inside via a human detection module, and obtain four elevator operation signals: safety circuit signal, car door lock signal, maintenance signal, and leveling signal. Based on this information, a entrapment detection can be performed. When there are people in the elevator car: 1) The elevator will not start for 3 minutes if the car door lock signal remains closed; 2) If the leveling signal is invalid, the elevator will not start even after 1 minute of inactivity; 3) When the leveling signal is valid, the elevator car door lock signal remains valid for 1 minute after the elevator stops; 4) The elevator doors remained closed and did not move for 2 minutes, and during this period, people were detected inside the elevator for an extended period of time; All four of the above situations can be considered as entrapment.

[0065] The above describes the solution when the elevator is powered normally. The terminal also has a human detection sensor (i.e., a human detection module) to determine whether there are people in the car. Similar to a camera, the terminal will also feed back the status of whether there are people or not in the car to the cloud platform in real time. When the elevator loses power, the cloud platform will detect that it has not received data from the terminal for two consecutive minutes. At this time, it will check the last time the human status was obtained through the terminal. If there are people, it is possible that a power outage has caused a person to be trapped.

[0066] In summary, during an elevator power outage, a power outage entrapment incident could be detected by either a camera or a monitoring terminal. Since elevator shafts are often locations with poor signal, a brief network outage for a device is not a rare occurrence. Therefore, a genuine power outage entrapment incident usually considers two simultaneous reports: when both the monitoring terminal and the camera simultaneously detect a power outage entrapment, the incident is confirmed, and maintenance personnel / managers are immediately notified; when only one device reports a power outage entrapment, the confidence level of a genuine event is low. In this case, the information from the other device is considered to further analyze whether the event is real or a false alarm. The specific process can be implemented as follows: a. When one device is confirmed to be offline, check the online status of the other device immediately. If only one device is offline, it is more likely to be due to network fluctuations or maintenance work. If both devices are offline, check whether both devices believe that someone was previously online. If so, it is highly likely that a power outage has occurred and someone is trapped. If not, perform a second check. b. There will be a short window of waiting, the window time of which is determined based on the heartbeat interval between the two devices; c. As shown in the flowchart, when both devices indicate someone is trapped, maintenance personnel are immediately notified for rescue. If the two devices indicate different situations, customer service personnel will conduct a secondary confirmation. This achieves division of labor and reduces unnecessary work.

[0067] In some specific application scenarios, during field practice, the camera detected that there was a person in the car, and then the camera went offline. The platform then issued an "offline entrapment warning" to remind the maintenance personnel / administrators. However, it was subsequently found that the terminal was not offline and did not report an offline entrapment. It was then determined that there might be a reason that caused a short-term disconnection in communication between the camera and the cloud platform, and that no entrapment had actually occurred.

[0068] If the camera issues an offline trap warning and the terminal also issues an offline trap warning, there is a high probability that a power outage trapping incident has actually occurred.

[0069] In summary, this invention proposes a method for detecting entrapment, primarily addressing the detection of entrapment situations during power outages or equipment failures. The core of this method lies in the platform's timely status updates. When a power outage occurs, the system focuses on detecting the elevator's status in the period preceding the outage to determine if entrapment has occurred. Based on the method of this invention, the following problems can be solved: when an elevator experiences a disconnection or network failure, the system can still determine the entrapment situation prior to the power outage; if entrapment is detected during the power outage, maintenance personnel / administrators can be notified promptly.

[0070] like Figure 4 As shown, this embodiment of the invention also provides an elevator entrapment detection device 900, which can implement the above-described method. This device may include: The signal acquisition module 910 is used to continuously acquire monitoring signals from the camera equipment and monitoring terminal equipment in the target elevator; among which, the monitoring signals include the status of personnel; The disconnection detection module 920 is used to determine the online status of the other device based on the monitoring signal when either the camera device or the monitoring terminal device disconnects. The power outage entrapment determination module 930 is used to determine the power outage entrapment result of the target elevator when another device is offline, based on the personnel status corresponding to the last monitoring signal collected before each device went offline.

[0071] In some embodiments, the apparatus further includes a status verification module for performing the following operations: The status of offline devices is verified based on a preset window time.

[0072] In some embodiments, the monitoring signals include a first monitoring signal from the camera device and a second monitoring signal from the monitoring terminal device. The second monitoring signal also includes an elevator operation signal. When the monitoring terminal device is not offline, the device further includes a stoppage and entrapment determination module, used to perform the following operations: The operating status of the target elevator is determined based on the elevator operation signals; When the operating status is out of service and the personnel status in the second monitoring signal is "personnel present", the entrapment event is reported through the monitoring terminal device.

[0073] It is understood that the content of the above method embodiments is applicable to the present device embodiments. The specific functions implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0074] This invention also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the method described above. This electronic device can be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0075] It is understood that the content of the above method embodiments is applicable to this device embodiment. The specific functions implemented by this device embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0076] like Figure 5 As shown, Figure 5 The hardware structure of an electronic device 1000 according to another embodiment is illustrated. The electronic device 1000 includes: The processor 1001 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (aSIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present invention. The memory 1002 can be implemented as a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RaM). The memory 1002 can store the operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 1002 and is called and executed by the processor 1001. Input / output interface 1003 is used to implement information input and output; The communication interface 1004 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). Bus 1005 transmits information between various components of the device (e.g., processor 1001, memory 1002, input / output interface 1003, and communication interface 1004); The processor 1001, memory 1002, input / output interface 1003 and communication interface 1004 are connected to each other within the device via bus 1005.

[0077] The electronic device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0078] This invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method.

[0079] It is understood that the content of the above method embodiments is applicable to this storage medium embodiment. The specific functions implemented in this storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0080] This invention also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0081] It is understood that the content of the above method embodiments is applicable to the embodiments of this program product. The specific functions implemented by the embodiments of this program product are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0082] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0083] The elevator entrapment detection method, device, electronic equipment, storage medium, and program product provided in this invention continuously acquire monitoring signals from camera devices and monitoring terminal devices in the target elevator. These monitoring signals include personnel status. When either the camera device or the monitoring terminal device goes offline, the online status of the other device is determined based on the monitoring signal. If the other device is offline, a power outage entrapment judgment is made based on the personnel status corresponding to the last monitoring signal collected before each device went offline, thus obtaining the power outage entrapment result of the target elevator. This invention, by continuously acquiring monitoring signals (including personnel status) from camera devices and monitoring terminal devices, and using the online status of the other device when one device goes offline, and utilizing the last collected personnel status before the disconnection to make a power outage entrapment judgment, achieves redundant detection in the event of equipment power failure. This effectively avoids situations where all devices fail due to power outages, thus improving the reliability and robustness of entrapment detection, while reducing reliance on manual monitoring.

[0084] The embodiments described in this invention are for the purpose of more clearly illustrating the technical solutions of the embodiments of this invention, and do not constitute a limitation on the technical solutions provided by the embodiments of this invention. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this invention are also applicable to similar technical problems.

[0085] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present invention, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0086] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0087] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0088] The terms "first," "second," "third," "fourth," etc. (if present) in the specification and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0089] It should be understood that in this invention, "at least one (item)" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0090] In the several embodiments provided by this invention, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0091] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0092] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0093] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0094] The preferred embodiments of the present invention have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present invention. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and spirit of the present invention should be within the scope of the claims of the present invention.

Claims

1. A method for detecting elevator entrapment, characterized in that, The method includes the following steps: Continuously acquire monitoring signals from camera devices and monitoring terminal devices in the target elevator; wherein, the monitoring signals include personnel status; When either the camera device or the monitoring terminal device goes offline, the online status of the other device is determined based on the monitoring signal. When the other device is offline, the power outage entrapment judgment is made based on the personnel status corresponding to the last monitoring signal collected before each device went offline, and the power outage entrapment result of the target elevator is obtained. Both the camera device and the monitoring terminal device are equipped with a power failure detection circuit and a large capacitor with a preset capacity. When either the camera device or the monitoring terminal device goes offline, determining the online status of the other device based on the monitoring signal includes the following steps: In response to the trigger signal of the power failure detection circuit of either the camera device or the monitoring terminal device, the emergency power supply is activated through the large capacitor and the corresponding device is triggered to issue a power failure alarm; wherein, the power failure alarm is integrated into the monitoring signal; If a power failure alarm is present in the monitoring signal corresponding to either the camera device or the monitoring terminal device, the online status of the other device is determined based on whether a power failure alarm is present in the monitoring signal corresponding to the other device. Specifically, if the monitoring signal contains the power failure alarm, the corresponding device is determined to be offline; if the monitoring signal does not contain the power failure alarm, the corresponding device is determined to be not offline. When the device triggers power failure detection, a large capacitor is used to maintain a short-term power supply to issue a power failure alarm.

2. The method according to claim 1, characterized in that, The method further includes the following steps: The status of offline devices is verified based on a preset window time.

3. The method according to claim 2, characterized in that, The status verification of disconnected devices based on a preset window time includes the following steps: A heartbeat mechanism is used to periodically send heartbeat packets to the disconnected device; When the disconnected device returns a response to any of the heartbeat packets within the window time, it is determined that the disconnected device is in a network fluctuation state. If the disconnected device does not return a response to any of the heartbeat packets within the window period, the disconnected device is determined to be in a power outage state.

4. The method according to claim 1, characterized in that, The monitoring signal includes a first monitoring signal from the camera device and a second monitoring signal from the monitoring terminal device. The second monitoring signal also includes an elevator operation signal. When the monitoring terminal device is not offline, the method further includes the following steps: The operating status of the target elevator is determined based on the elevator operation signal; When the operating status is out of service and the personnel status in the second monitoring signal is "occupied", the entrapment event is reported through the monitoring terminal device.

5. The method according to claim 4, characterized in that, The method further includes the following steps: In response to the reporting of the entrapment incident, the first monitoring signal of the camera device at the target time node is acquired; wherein, the target time node represents the time node corresponding to the entrapment incident; When the personnel status in the first monitoring signal is "occupied", a entrapment event notification for the target elevator is sent to the maintenance personnel; When the personnel status in the first monitoring signal is "no one", the first verification information is sent to the management object so that the management object can perform secondary confirmation based on the monitoring signal corresponding to the target time node or perform communication confirmation based on the emergency communication equipment of the target elevator.

6. The method according to claim 1, characterized in that, The process of determining whether a person is trapped due to a power outage based on the last monitored signal collected before each device went offline, and obtaining the result of the power outage trapping the target elevator, includes the following steps: If both the camera device and the monitoring terminal device show "personnel present", it is determined that the target elevator has experienced a power outage and is trapping people. If the personnel status of both the camera device and the monitoring terminal device is "unmanned", it is determined that the target elevator has not experienced a power outage and trapped anyone. If the personnel status types of the camera device and the monitoring terminal device are inconsistent, a second verification message is sent to the management object so that the management object can perform a secondary confirmation based on the monitoring signal collected last time before the device went offline or perform a communication confirmation based on the emergency communication device of the target elevator.

7. An elevator entrapment detection device, characterized in that, The device includes: The signal acquisition module is used to continuously acquire monitoring signals from camera devices and monitoring terminal devices in the target elevator; wherein, the monitoring signals include the status of personnel; The disconnection detection module is used to determine the online status of the other device based on the monitoring signal when either the camera device or the monitoring terminal device disconnects. The power outage entrapment determination module is used to determine the power outage entrapment result of the target elevator when the other device is offline, based on the status of the personnel corresponding to the last monitoring signal collected before the device went offline. Both the camera device and the monitoring terminal device are equipped with a power failure detection circuit and a large capacitor with a preset capacity. When either the camera device or the monitoring terminal device goes offline, determining the online status of the other device based on the monitoring signal includes the following steps: In response to the trigger signal of the power failure detection circuit of either the camera device or the monitoring terminal device, the emergency power supply is activated through the large capacitor and the corresponding device is triggered to issue a power failure alarm; wherein, the power failure alarm is integrated into the monitoring signal; If a power failure alarm is present in the monitoring signal corresponding to either the camera device or the monitoring terminal device, the online status of the other device is determined based on whether a power failure alarm is present in the monitoring signal corresponding to the other device. Specifically, if the monitoring signal contains the power failure alarm, the corresponding device is determined to be offline; if the monitoring signal does not contain the power failure alarm, the corresponding device is determined to be not offline. When the device triggers power failure detection, a large capacitor is used to maintain a short-term power supply to issue a power failure alarm.

8. An electronic device, characterized in that, The electronic device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the method according to any one of claims 1 to 6.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 6.

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