AI intelligent escape method and system for elevator, equipment and storage medium

Abstract

The invention provides an AI intelligent escape method and system for an elevator, equipment and a storage medium, and relates to the technical field of elevator intelligent escape. The method comprises the following steps: acquiring a comprehensive diagnosis result of the elevator; performing fault type division according to the comprehensive diagnosis result; and executing a self-rescue program or performing AI human-computer interaction according to a fault type division result. Based on a multi-azimuth rescue mode, self-diagnosis and AI interaction are achieved in combination with a plurality of module units, and rescue can be carried out orderly and efficiently when passengers are trapped in an elevator.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of elevator intelligent escape, in particular to an AI intelligent escape method and system for elevator, equipment and storage medium. BACKGROUND

[0002] During the operation of the elevator, if a fault or power failure occurs, the elevator will usually stop at a non-level area, and passengers must wait for professional personnel to release the brake to implement escape rescue. When equipped with UPS or ARD, it can only ensure that the elevator returns to the level area through the standby power in the case of no fault. If a fault occurs in the standby power supply condition, the elevator will still stop at a non-level area and cannot open the door to release the passengers. In summary, the current rescue plan for trapped passengers still has many problems.

[0003] Therefore, in order to efficiently escape the trapped passengers, it is urgent to design an AI intelligent escape method and system for elevator. SUMMARY

[0004] In order to achieve the above-mentioned purposes and other advantages of the present application, the first object of the present application is to provide an AI intelligent escape method for elevator, comprising the following steps: obtaining a comprehensive diagnosis result of the elevator; dividing the fault type according to the comprehensive diagnosis result; executing a self-rescue program or performing AI human-computer interaction according to the fault type division result.

[0005] Further, the step of dividing the fault type according to the comprehensive diagnosis result comprises: when the fault does not exist self-rescue escape safety risk or does not trigger again after accidental trigger reset, the fault type is self-rescueable fault; when the fault exists self-rescue escape safety risk, the fault type is not self-rescueable fault.

[0006] Further, the step of executing a self-rescue program or performing AI human-computer interaction according to the fault type division result comprises: when the fault type is self-rescueable fault, executing a self-rescue program; when the fault type is not self-rescueable fault, performing AI human-computer interaction.

[0007] Further, the step of executing a self-rescue program comprises: controlling the linkage of the execution mechanism module to realize opening the door to the door area to rescue the trapped personnel; wherein the linkage of the execution mechanism module is configured to control the matching action of the brake release module and the low-speed star sealing module.

[0008] Further, the step of performing AI human-computer interaction comprises: The AI ​​human-machine interaction terminal is triggered to perform efficient assignment and establish interaction with the car interior, and the fault information is pushed to the AI ​​human-machine interaction terminal; The scheduling mechanism is manually triggered based on the prompts from the AI ​​human-computer interaction terminal.

[0009] Furthermore, prior to the step of classifying fault types based on the comprehensive diagnostic results, the method further includes: If a fault is detected, the elevator stops and sends a signal to the AI ​​human-machine interface. The signal is then confirmed through interactive commands, and a secondary reset self-test is performed.

[0010] The second objective of this invention is to provide an AI-powered intelligent escape system for elevators, employing the aforementioned method, comprising a main control unit, an actuator module, and an AI human-machine interaction terminal; wherein, The main control unit is used to perform fault self-diagnosis and judgment throughout the entire elevator operation cycle, obtain comprehensive diagnosis results, classify fault types according to the comprehensive diagnosis results, and execute self-rescue procedures or perform AI human-computer interaction according to the fault type classification results. The actuator module is used to work in conjunction with the main control unit to open the door at the door area to rescue trapped personnel. The AI ​​human-computer interaction terminal is used to perform real-time analysis based on the current status of the main control unit, output the necessary reminders when people are trapped, and implement interactive rescue.

[0011] Furthermore, the actuator module includes a brake release module and a low-speed star-sealing module; wherein, The brake release module is used to work when the main control unit determines that the fault type is a self-rescue fault, and releases the working state according to the instruction given by the main control unit when reaching the level position; When the brake release module is activated, the motor short-circuits the three-phase windings through the low-speed star-sealing module, causing the elevator to run at low speed to the door zone position.

[0012] A third objective of the present invention is to provide a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method.

[0013] A fourth objective of the present invention is to provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described method.

[0014] Compared with the prior art, the beneficial effects of the present invention are: This invention provides an AI-powered intelligent elevator rescue method, system, device, and storage medium. The method includes the following steps: obtaining comprehensive diagnostic results for the elevator; classifying fault types based on the comprehensive diagnostic results; and executing a self-rescue procedure or performing AI human-computer interaction based on the fault type classification results. This invention, based on multi-faceted rescue methods and combining multiple modular units to achieve self-diagnosis and AI interaction, enables orderly and efficient rescue when passengers are trapped in elevators.

[0015] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it according to the contents of the specification, the preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings. Specific embodiments of the present invention are given in detail below with reference to the accompanying drawings. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings: Figure 1 Flowchart of an AI-powered intelligent elevator rescue method; Figure 2 A flowchart illustrating the classification of fault types and corresponding handling solutions; Figure 3 AI human-computer interaction flowchart; Figure 4 Schematic diagram of an AI-powered intelligent escape system for elevators; Figure 5 Flowchart of the control process for an AI-powered intelligent escape system for elevators; Figure 6 A diagram showing the buttons inside an elevator; Figure 7 This is a schematic diagram of a computer device. Figure 8 This is a schematic diagram of a computer-readable storage medium. Detailed Implementation

[0017] The present invention will now be further described with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. It should be noted that, without conflict, the various embodiments or technical features described below can be arbitrarily combined to form new embodiments.

[0018] Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without inventive effort are within the scope of protection of this invention.

[0019] The drawing numbers in this application are only used to distinguish the steps in the scheme and are not used to limit the execution order of the steps. The specific execution order is as described in the specification.

[0020] 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 in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.

[0021] Elevators are a special mode of transportation that is inseparable from our daily lives. Preventing elevator accidents and ensuring safe elevator use are issues that the whole society must pay attention to. During elevator operation, power outages, malfunctions, or other reasons may cause the elevator to stop at a non-stop floor, preventing the doors from opening and trapping passengers inside the car, which can easily lead to panic.

[0022] Currently, passengers can only call for help by pressing the emergency button inside the elevator car to send out a distress signal, or by pressing the emergency phone inside the car to explain their situation to the staff. When mobile phone signals are available inside the elevator, passengers can also use their phones to call property management, maintenance, or the 96365 emergency hotline. If none of these methods work, passengers must wait inside the elevator car.

[0023] To efficiently rescue trapped passengers, this invention utilizes the comprehensive diagnosis and scheduling of the main control unit, combined with the actions of the actuator module and an AI human-computer interaction network, to enable passengers inside the car to save themselves during power outages and mains power failures, thereby further improving rescue efficiency.

[0024] This method can be executed by the main control unit of the elevator AI intelligent escape system. The main control unit can be implemented in the form of software and / or hardware, and is generally integrated into any electronic device with network communication function, such as a mobile terminal, PC or server.

[0025] Example 1 An AI-powered intelligent escape method for elevators, such as Figure 1 As shown, it includes the following steps: To enable real-time elevator monitoring and fault code generation, the main control unit continuously monitors the elevator's operating status (such as door status, position, sensor data, etc.), analyzes input and output parameters in real time, and immediately triggers an alarm and generates a fault code when an anomaly is detected.

[0026] When a fault is detected (such as a brake system malfunction or electrical interlock switch failure), the main control unit will immediately cut off the power and activate the buzzer or audible and visual alarm device. Alarm information can also be pushed via a mobile app.

[0027] S100, Obtain the comprehensive diagnostic results of the elevator; To avoid errors in elevator fault detection by the main control unit and to achieve command interaction and status coordination, the following steps are included before the step of classifying fault types based on the comprehensive diagnostic results: If a fault is detected, the elevator stops and sends a signal to the AI ​​human-machine interface. The signal is then confirmed through interactive commands, and a secondary reset self-test is performed.

[0028] When a fault is detected, the main control unit triggers the emergency elevator stop procedure. Optionally, RS-485 serial communication or TCP / IP protocol is used to transmit signals to the AI ​​human-machine interface to ensure the real-time and reliable transmission of commands. Then, the main control unit resets its self-test judgment to accurately determine the fault type.

[0029] S200. Classify the fault type based on the comprehensive diagnostic results; To ensure the safety of trapped passengers, it is necessary to categorize the types of malfunctions to distinguish between those that allow for self-rescue and those that do not. This method should only be implemented to rescue trapped passengers in cases of self-rescue malfunctions. Figure 2 As shown, the step of classifying fault types based on the comprehensive diagnostic results includes: S210. Determine whether the fault does not pose a self-rescue or escape safety risk, or whether the fault is triggered only occasionally and will not be triggered again after reset. S220. When the fault does not pose a safety risk to self-rescue or escape, or when it is triggered only occasionally and does not trigger again after reset, the fault type is a self-rescue fault. For example, a self-rescue malfunction may be a localized functional failure. A secondary response malfunction, such as signal transmission interruption or actuator jamming, can allow trapped passengers to escape by executing self-rescue procedures.

[0030] S230. When a fault poses a safety risk to self-rescue and escape, the fault type is a non-self-rescue fault.

[0031] For example, a non-self-rescue fault may be a system-level paralysis, such as the complete loss of power to the DCS / PLC causing the controller to stop working, requiring external intervention to restore power; it may also be a safety interlock trigger, such as a serious fault like high-voltage power failure or overcurrent protection, which forcibly disconnects the high voltage and prohibits reclosing, requiring manual investigation of the root cause; or it may be a fatal hardware damage, such as a main control board failure or a blown fuse, requiring the replacement of hardware components and cannot be restored by software reset.

[0032] S300: Based on the fault type classification results, execute the self-rescue procedure or perform AI human-computer interaction.

[0033] After distinguishing between self-rescue and non-self-rescue faults, in order to prevent passengers trapped in the elevator from panicking and to carry out rescue in an orderly and efficient manner, the steps of executing self-rescue procedures or conducting AI human-computer interaction based on the fault type classification result include: S310. When the fault type is a self-rescue fault, execute the self-rescue procedure; wherein, executing the self-rescue procedure specifically includes low-speed return to the leveling floor, placing people in the door area, keeping the door open, and having professional personnel go to confirm the fault and reset it to normal.

[0034] Specifically, after detecting a self-rescue fault (such as signal interference or brief overload), the main control unit executes a self-rescue procedure, achieving low-speed operation to the nearest leveling floor. If the main control unit detects an intermittent fault that does not recur after resetting, it executes a self-rescue procedure, achieving low-speed operation to the target floor.

[0035] Upon reaching the ground floor, the door operator system will forcibly open the door (maintaining the open position for ≥30 seconds) to release the passenger. The door area position must meet safety standards (e.g., alignment error with the sill ≤5mm).

[0036] Continuously output fault codes to the monitoring terminal while keeping the door open until manually reset. Manually inspect the fault location (such as contactor contacts or encoder signal lines) and perform a reset after confirming there is no hardware damage. After resetting, perform several no-load operation tests to verify system stability.

[0037] To efficiently and safely complete elevator entrapment rescue, the self-rescue procedure includes the following steps: The control actuator modules are linked to open the door at the gate area to rescue trapped personnel; wherein, the linkage of the control actuator modules is configured to control the brake release module and the low-speed star-sealing module to operate in tandem to open the door at the gate area to rescue trapped personnel.

[0038] Specifically, the brake release module operates when the fault type is determined to be a self-rescue fault, and releases its working state according to the instruction when it reaches the leveling position; When the brake release module is activated, the motor short-circuits the three-phase windings through the low-speed star-sealing module, causing the elevator to run at low speed to the door zone position.

[0039] It should be noted that the actuator module can also be implemented through linkage with other modules, not limited to the aforementioned brake release module and low-speed sealing module linkage.

[0040] To improve the stability of elevator operation, the control actuator module is linked and keeps the door open after reaching the door zone. When a professional authorization signal is received, the elevator returns to normal.

[0041] For example, the main control unit needs to receive an authorization signal from a professional (such as a maintenance password or physical key) before it can perform a reset operation. After the reset, several no-load operation tests need to be performed to verify the system stability.

[0042] S320. When the fault type is a non-self-rescue fault, initiate AI human-computer interaction. At this time, remain still and wait for professional personnel to arrive for rescue.

[0043] The main control unit immediately disconnects the actuators (such as keeping the brake closed or activating the star-sealing module) to ensure the equipment completely stops operating. It can also trigger audible and visual alarms and display fault codes and safety warnings through the HMI interface.

[0044] The device can broadcast a message via TTS stating, "A serious malfunction has been detected. Do not operate the device. Wait for professional assistance." The screen displays the rescue process and supports scanning a QR code to obtain an electronic rescue manual.

[0045] The system automatically pushes fault logs to the maintenance platform, including timestamps, fault types, and equipment status snapshots. Rescue personnel can only enter diagnostic mode after unlocking the system via an authorized terminal.

[0046] After determining that the fault type is a non-self-rescue fault, in order to ensure the safety of the trapped personnel, such as Figure 3 As shown, the steps for performing AI human-computer interaction include: S321. Trigger the AI ​​human-machine interaction terminal to perform efficient assignment and establish interaction with the car interior, and push the fault information to the AI ​​human-machine interaction terminal; S322. Manually trigger the scheduling mechanism according to the prompts from the AI ​​human-computer interaction terminal.

[0047] When trapped passengers encounter a malfunction on a non-level floor, the accompanying AI human-computer interaction network can alert them to the elevator's current status, such as whether self-rescue is possible, how to rescue themselves, and what to do if self-rescue is not possible. The interaction is not limited to auditory signals; visual signals and other signals can also be used for human-computer interaction.

[0048] It should be noted that the method provided by this invention is applicable not only to faults that occur during the automatic normal operation of the elevator, but also to fault diagnosis when the mains power is cut off and backup power is used.

[0049] This invention is based on a multi-faceted rescue approach, combining multiple modular units to achieve self-diagnosis and AI interaction, enabling orderly and efficient rescue when passengers are trapped in elevators.

[0050] Example 2 Based on the same concept, the present invention also provides an AI intelligent escape system for elevators, which applies the method provided in Embodiment 1. For a detailed description of the method provided in Embodiment 1, please refer to the corresponding description in the above method embodiments, which will not be repeated here.

[0051] It is understood that the AI-powered elevator rescue system provided in this embodiment includes hardware structures and / or software modules corresponding to each function in order to achieve the above-mentioned functions. Combining the units and algorithm steps of the examples disclosed in this embodiment, this embodiment can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed by hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the technical solution of this embodiment.

[0052] An AI-powered intelligent escape system for elevators, such as Figure 4 As shown, the system 400 includes a main control unit 410, an actuator module 420, and an AI human-machine interaction terminal 430; among which, The main control unit is used to perform fault self-diagnosis and judgment throughout the entire elevator operation cycle, obtain comprehensive diagnosis results, classify fault types according to the comprehensive diagnosis results, and execute self-rescue procedures or perform AI human-computer interaction according to the fault type classification results. The actuator module is used to work in conjunction with the main control unit to open the door at the door area to rescue trapped personnel. The AI ​​human-computer interaction terminal is used to analyze the current state of the main control unit in real time, output necessary reminders when people are trapped, and implement interactive rescue. For example, a voice transmission mechanism is used to ensure that interactive rescue can be implemented through voice transmission if self-rescue fails.

[0053] To avoid errors in elevator fault detection by the main control unit and to achieve command interaction and status coordination, when the main control unit detects a fault, it stops the elevator and sends a signal to the AI ​​human-machine interface. After confirmation through interactive commands, a secondary main control unit reset and self-test is performed. If the fault is of the autonomous escape type, the main control unit and the actuator module work together to keep the door open after reaching the door zone. After receiving confirmation from the professional authorization signal, the main control unit returns to normal.

[0054] Based on the technical solutions of the above embodiments, optionally, the step of classifying fault types according to the comprehensive diagnostic results includes: When the fault does not pose a safety risk to self-rescue or escape, or when it is triggered only occasionally and does not trigger again after reset, the fault type is a self-rescue fault. When a fault poses a safety risk to self-rescue and escape, the fault type is classified as an unrecoverable fault.

[0055] Based on the technical solutions of the above embodiments, optionally, the step of executing the self-rescue procedure or performing AI human-computer interaction according to the fault type classification result includes: When the fault type is a self-rescue fault, execute the self-rescue procedure; When the fault type is an unrecoverable fault, AI human-computer interaction is performed.

[0056] Based on the technical solutions of the above embodiments, optionally, the step of executing the self-rescue procedure includes: The control actuator modules work in tandem to open doors at the access point to rescue trapped personnel. Specifically, the control actuator modules are configured to control the coordinated actions of a brake release module and a low-speed star-sealing module. That is, the actuator module includes a brake release module and a low-speed star-sealing module. The brake release module is used to work when the main control unit determines that the fault type is a self-rescue fault, and releases the working state according to the instruction given by the main control unit when reaching the level position; When the brake release module is activated, the motor short-circuits the three-phase windings through the low-speed star-sealing module, causing the elevator to run at low speed to the door zone position.

[0057] Based on the technical solutions of the above embodiments, optionally, the step of performing AI human-computer interaction includes: The AI ​​human-machine interaction terminal is triggered to perform efficient assignment and establish interaction with the car interior, and the fault information is pushed to the AI ​​human-machine interaction terminal; The scheduling mechanism is manually triggered based on the prompts from the AI ​​human-computer interaction terminal.

[0058] Optionally, the accompanying AI human-computer interaction network communicates and transmits information with the main control unit. Information transmission methods include communication or I / O signals. It should be noted that the information transmission methods are not limited to these two.

[0059] It should be noted that the system provided by this invention is applicable not only to faults that occur during the automatic normal operation of the elevator, but also to fault diagnosis when the mains power is cut off and backup power is used.

[0060] In some embodiments, the system is equipped with an emergency backup power supply, which automatically switches power supply during power outages to ensure the system returns to the leveling floor and reaches the door opening area. For example... Figure 5 , Figure 6 As shown, the elevator is equipped with a one-button self-rescue button, a power outage emergency rescue button, and a one-button call button. The one-button self-rescue button is used to temporarily reset the elevator when passengers are trapped, allowing the elevator to stop at the nearest stop and open the doors to release the passengers, ensuring their safety. The power outage emergency rescue button is used to automatically return passengers in the elevator car to the floor and help them escape when the power is lost during elevator operation, using the backup power supply. The call button is used to contact elevator professionals for rescue when there is a risk of reset and getting stuck due to certain malfunctions and the elevator cannot stop at the nearest stop.

[0061] Optionally, an independent one-touch self-rescue physical button labeled "SOS" can be installed inside the elevator car. The button's location must be ergonomically designed (e.g., at a height of 1.2-1.5 meters) to prevent accidental activation. The reset method is as follows: Press and hold the "SOS" button to trigger the elevator's intelligent fault identification. Except for faults involving safety performance, all other faults can be reset, including faults requiring reset after power failure and restoration, such as E33.

[0062] It should be noted that not all malfunctions can be reset by pressing the "SOS" button. For example, safety and door lock malfunctions, as well as malfunctions involving self-rescue safety risks, must be handled by professional elevator maintenance personnel.

[0063] Optionally, the alarm button can be configured to call maintenance personnel with one click, or an IoT module can be added to the service center.

[0064] This invention is based on a multi-faceted rescue approach, combining multiple modular units to achieve self-diagnosis and AI interaction, enabling orderly and efficient rescue when passengers are trapped in elevators.

[0065] Example 3 A computer device 500, such as Figure 7 As shown, the system includes a memory 510, a processor 520, and a computer program 530 stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of an AI-based intelligent escape method for elevators. For a detailed description of the method, please refer to the corresponding description in the above method embodiments; it will not be repeated here.

[0066] Example 4 A computer-readable storage medium, such as Figure 8 As shown, a computer program is stored thereon. When executed by a processor, the computer program implements the steps of an AI-based intelligent elevator rescue method. For a detailed description of the method, please refer to the corresponding description in the above method embodiments, which will not be repeated here.

[0067] The number of devices and processing scale described herein are for the purpose of simplifying the description of the invention. Applications, modifications, and variations of the invention will be readily apparent to those skilled in the art.

[0068] Although embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and embodiments. They can be applied to various fields suitable for the present invention. For those skilled in the art, other modifications can be easily made. Therefore, without departing from the general concept defined by the claims and their equivalents, the present invention is not limited to the specific details and illustrations shown and described herein.

[0069] The apparatus, computer device, and non-volatile computer storage medium and method provided in the embodiments of this specification are corresponding. Therefore, the apparatus, computer device, and non-volatile computer storage medium also have similar beneficial technical effects as the corresponding method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the corresponding apparatus, computer device, and non-volatile computer storage medium will not be repeated here.

[0070] Those skilled in the art will also know that, besides implementing the controller in the form of purely computer-readable program code, the same functions can be achieved by logically programming the method steps, making the controller take the form of logic gates, switches, application-specific integrated circuits (ASICs), programmable logic controllers (PLCs), and embedded microcontrollers. Therefore, such a controller can be considered a hardware component, and the devices included within it for implementing various functions can also be considered structures within that hardware component. Alternatively, the devices for implementing various functions can be considered as both software units implementing the method and structures within a hardware component.

[0071] The systems, apparatuses, or units described in the above embodiments can be implemented by computer chips or physical entities, or by products with certain functions. For ease of description, the above apparatuses are described separately as various units based on their functions. Of course, when implementing one or more embodiments of this specification, the functions of each unit can be implemented in one or more software and / or hardware.

[0072] Those skilled in the art will understand that the embodiments of this specification can be provided as methods, systems, or computer program products. Therefore, the embodiments of this specification can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the embodiments of this specification can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0073] This specification is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this specification. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0074] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0075] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0076] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0077] This specification may be described in the general context of computer-executable instructions, such as program units, that are executed by a computer. Generally, program units include routines, programs, objects, components, data structures, etc., that perform a specific task or implement a specific abstract data type. This specification may also be practiced in distributed computing environments, where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program units may reside in local and remote computer storage media, including storage devices.

[0078] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0079] The above description is merely an embodiment of this specification and is not intended to limit the scope of one or more embodiments of this specification. Various modifications and variations can be made to one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of one or more embodiments of this specification.

Claims

1. An AI intelligent escape method for an elevator, characterized by, The method comprises the following steps: obtaining a comprehensive diagnosis result of the elevator; classifying the fault type according to the comprehensive diagnosis result; executing a self-help program or performing AI human-computer interaction according to the fault type classification result.

2. The AI intelligent escape method for elevator according to claim 1, characterized in that: The step of classifying the fault type according to the comprehensive diagnosis result comprises: when the fault does not exist self-help escape safety risk or accidental trigger reset, the fault type is self-help fault; when the fault exists self-help escape safety risk, the fault type is non-self-help fault.

3. The AI intelligent escape method for elevator according to claim 2, characterized in that, The step of executing a self-help program or performing AI human-computer interaction according to the fault type classification result comprises: when the fault type is self-help fault, executing a self-help program; when the fault type is non-self-help fault, performing AI human-computer interaction.

4. The AI intelligent escape method for elevator according to claim 3, characterized in that, The step of executing a self-help program comprises: controlling the linkage of the actuator module to realize opening the door to the door area to rescue the trapped personnel; wherein the linkage of the actuator module is configured to control the brake release module and the low-speed star sealing module to act in conjunction.

5. The AI intelligent escape method for elevator according to claim 3, characterized in that, The step of performing AI human-computer interaction comprises: triggering the AI human-computer interaction end to perform efficient assignment and establish interaction with the car, and push the fault information to the AI human-computer interaction end; manually triggering the dispatch mechanism according to the prompt of the AI human-computer interaction end.

6. The AI intelligent escape method for elevator according to claim 1, wherein, Before the step of classifying the fault type according to the comprehensive diagnosis result, it further comprises: if a fault is detected, stopping the elevator and delivering a signal to the AI human-computer interaction end, confirming through interactive instructions, and implementing secondary reset self-checking determination.

7. An AI intelligent escape system for elevator, applying the method of any one of claims 1-6. It comprises a main control unit, an actuator module, and an AI human-computer interaction end; wherein the main control unit is used for fault self-diagnosis determination during the entire running cycle of the elevator to obtain a comprehensive diagnosis result, and classifying the fault type according to the comprehensive diagnosis result, and executing a self-help program or performing AI human-computer interaction according to the fault type classification result; the actuator module is used for linkage with the main control unit to realize opening the door to the door area to rescue the trapped personnel; the AI human-computer interaction end is used for real-time analysis according to the current state of the main control unit, outputting the required prompt when the personnel are trapped, and implementing interactive rescue.

8. The AI intelligent escape system for elevator according to claim 7, characterized in that: The actuator module comprises a brake release module and a low-speed star sealing module; wherein the brake release module is used for working when the main control unit determines that the fault type is self-help fault, and releasing the working state according to the instruction given by the main control unit when reaching the leveling position; when the brake release module is actuated to open, the motor passes through the low-speed star sealing module to short-circuit the three-phase winding, so that the elevator runs at low speed to the door area position.

9. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the computer program to realize the steps of the method according to any one of claims 1-6.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the steps of the method according to any one of claims 1-6.

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