An elevator emergency rescue system and method based on robot autonomous identification and dispatching

Abstract

This invention proposes an elevator emergency rescue system and method based on robot autonomous identification and scheduling. The system obtains a blueprint of the building where the elevator is located and uses key information from the blueprint to create a three-dimensional model. This key information includes: the location of building entrances / exits, building floor heights, the location of safety passages, and the distance from the safety passage entrance to the elevator door. Each elevator is numbered, and a unique number for each elevator door is obtained by adding the floor number to the elevator number. The three-dimensional model data is imported into a robot, which automatically collects and identifies the key information in the three-dimensional data and automatically stores the collected and identified data in the cloud. This invention provides an elevator emergency rescue system and method based on robot autonomous identification, which can greatly improve rescue efficiency.

Description

Technical Field

[0001] This invention proposes an elevator emergency rescue system and method based on robot autonomous identification and scheduling, belonging to the field of elevator emergency rescue technology. Background Art

[0002] Elevator emergency rescue refers to the emergency rescue operation required when an elevator malfunctions and cannot be used normally. This rescue prioritizes personal safety, ensuring the safety of citizens and users while achieving rapid and efficient emergency response to minimize losses. Elevator emergency rescue has high technical requirements, needing to meet both general maintenance and the high precision required for emergency handling, and adhering to specific operating procedures to ensure timely and effective repairs and avoid serious consequences. During emergency rescue, many technical aspects require maintenance personnel to strictly follow technical guidelines and repair operation procedures to ensure safety. Furthermore, elevator consumables and equipment should be cleaned, disinfected, and replaced during emergency rescues to ensure electrical safety. In addition to meeting technical requirements, elevator emergency rescue also requires maintaining a good working relationship with maintenance partners. In some special cases, the elevator expertise and extensive experience of maintenance partners can help resolve the problem.

[0003] The robot-based autonomous identification and scheduling technology proposed in this invention can effectively improve efficiency in elevator rescue. It can automatically identify the coordinates of the location based on alarm signals and dispatch rescue personnel, thus handling the rescue more quickly. The advantage of autonomous identification and scheduling is that it can reduce false alarm signal interpretation and analyze the location of the accident more quickly and effectively, thereby greatly improving the efficiency of elevator rescue. Summary of the Invention

[0004] This invention provides an elevator emergency rescue system and method based on robot autonomous identification and scheduling, to solve the problem of elevator emergency rescue:

[0005] This invention proposes an elevator emergency rescue method based on robot autonomous identification and scheduling, the method comprising:

[0006] S1: Obtain the blueprint of the building where the elevator equipment is located, and use the key information in the blueprint to set up a three-dimensional model; the key information includes: the location of the building entrance and exit, the building floor height, the location of the safety passage, and the distance from the safety passage entrance to the elevator door; number each elevator, and obtain the unique number of each floor elevator door by adding the floor number to the elevator number;

[0007] S2: Import the 3D model data into the robot. The robot automatically collects and identifies key information in the 3D data and automatically stores the collected and identified data in the cloud.

[0008] S3: Input the elevator's fault type data into the robot, the robot activates an emergency trigger state, and sends the emergency trigger state to the cloud. The cloud then connects to the rescue personnel's terminal via a wireless LAN.

[0009] S4: The robot monitors the elevator's operating status in real time. When a fault triggers a state that meets the rescue conditions, it issues an early warning and recommends at least one optimal rescue path based on the warning information. The warning information and the optimal rescue path are then transmitted to the rescue personnel's terminal via the cloud, allowing the rescue personnel to carry out the rescue operation.

[0010] Furthermore, the process involves obtaining a blueprint of the building where the elevator equipment is located, and using key information from the blueprint to create a three-dimensional model. This key information includes: the location of building entrances and exits, building floor heights, the location of safety passages, and the distance from the safety passage entrance to the elevator door. Each elevator is numbered, and a unique number for each floor's elevator door is obtained by adding the floor number to the elevator number.

[0011] S11: Determine the location of the elevator equipment, determine the building where the elevator is located based on the location of the elevator equipment, and obtain the building blueprint;

[0012] S12: Analyze the building blueprint to determine the building type, and extract data from the building blueprint, including the building's shape, dimensions, and supporting structure;

[0013] S13: Establish a three-dimensional model using the extracted building blueprint data, and set the starting point and ending point of emergency rescue in the three-dimensional building model. The starting point is the location of the building entrance and the ending point is the elevator door corresponding to the floor where the elevator that has malfunctioned and needs emergency rescue is located.

[0014] S14: Number each elevator, obtain the elevator data after numbering, and set a unique number for each elevator door by adding the floor number to the elevator number.

[0015] Furthermore, the process of importing the 3D model data into the robot involves the robot automatically collecting and recognizing key information from the 3D data, and automatically storing the collected and recognized data in the cloud, including:

[0016] S21: Import the 3D model data into the robot via a wireless local area network. The robot receives the 3D model data and stores it in the autonomous recognition and scheduling module.

[0017] S22: The robot automatically collects and identifies key information in the three-dimensional data through autonomous recognition and scheduling, and obtains information such as the location of building entrances and exits, building floor heights, safety passage locations, and the distance from the safety passage entrance to the elevator door.

[0018] S23: Autonomous identification and scheduling will automatically collect and identify key information and feed it back to the robot control module;

[0019] S24: The robot control module will autonomously identify and schedule key information and store it in the cloud via a wireless local area network.

[0020] Furthermore, the elevator malfunction type data is input into the robot, which then initiates an emergency trigger state and sends this state to the cloud. The cloud then connects to the rescue personnel's terminal via a wireless local area network, including:

[0021] S31: Obtain elevator fault type data through elevator fault codes and input the elevator fault type data into the robot;

[0022] S32: The robot sets the trigger state that requires emergency rescue based on the elevator's fault type data, and imports the trigger state data to the cloud via wireless local area network;

[0023] S33: The rescue personnel's terminal receives the trigger status data transmitted from the cloud via a wireless local area network;

[0024] Furthermore, the robot monitors the elevator's operating status in real time. When a malfunction triggers a state that meets rescue conditions, it issues an early warning and recommends at least one optimal rescue path based on the warning information. The warning information and the optimal rescue path are then transmitted to the rescue personnel's terminal via the cloud. The rescue personnel then use this information to conduct the rescue operation, including:

[0025] S41: The robot monitors the elevator's operating status in real time. When the elevator malfunctions and triggers a trigger state, the robot analyzes the trigger state data to determine the location of the elevator malfunction and uses the elevator malfunction location to determine the floor where the malfunctioning elevator is located and the unique number of the corresponding elevator door.

[0026] S42: Match the unique number of the elevator floor and corresponding elevator door determined by the elevator fault location with the information in the three-dimensional model. The autonomous identification and scheduling module recommends at least one optimal rescue route based on the corresponding information in the three-dimensional model and the time distance using the optimal path algorithm.

[0027] S43: The robot sends the warning information and rescue route to the rescue personnel's terminal via the cloud. Upon receiving the warning information, the rescue personnel's terminal starts ringing.

[0028] S44: After hearing the alarm, rescuers will choose the optimal route for rescue based on the robot's recommendation.

[0029] This invention provides an elevator emergency rescue system based on robot autonomous identification and scheduling, the system comprising:

[0030] 3D Model Building Module: Obtains the blueprint of the building where the elevator equipment is located, and uses key information from the blueprint to create a 3D model; the key information includes: the location of the building entrance and exit, the building floor height, the location of the safety passage, and the distance from the safety passage entrance to the elevator door; each elevator is numbered, and the unique number of each floor's elevator door is obtained by adding the floor number to the elevator number;

[0031] Data import module: Imports 3D model data into the robot. The robot automatically collects and identifies key information in the 3D data and automatically stores the collected and identified data in the cloud.

[0032] Fault type input module: Input the elevator fault type data into the robot, the robot activates an emergency trigger state and sends the emergency trigger state to the cloud, the cloud connects to the rescue personnel's terminal via wireless LAN;

[0033] Autonomous identification and scheduling module: The robot monitors the elevator's operating status in real time. When a fault triggers a state that meets the rescue conditions, it issues an early warning and recommends at least one optimal rescue route based on the warning information. The warning information and the optimal rescue route are then transmitted to the rescue personnel's terminal via the cloud, allowing the rescue personnel to carry out the rescue operation.

[0034] Furthermore, the 3D model building module includes:

[0035] Location determination module: Determines the location of the elevator equipment, determines the building where the elevator is located based on the location of the elevator equipment, and obtains the building blueprint;

[0036] Building blueprint analysis module: Analyzes the building blueprint, determines the building type, and extracts data from the building blueprint, including the building's shape, dimensions, and supporting structure;

[0037] Rescue point setting module: A three-dimensional model is built by extracting data from the building blueprints, and the start and end points of emergency rescue are set in the three-dimensional building model. The start point is the location of the building entrance and exit, and the end point is the elevator door corresponding to the floor where the elevator that has malfunctioned and needs emergency rescue is located.

[0038] Elevator Numbering Module: Numbers each elevator, obtains elevator data after numbering, and sets a unique number for each elevator door on each floor by adding the floor number to the elevator number.

[0039] Furthermore, the data import module includes:

[0040] Data import module: Imports 3D model data into the robot via wireless LAN. The robot receives the 3D model data and stores it in the autonomous recognition and scheduling module.

[0041] Information recognition module: The robot automatically collects and recognizes key information in the three-dimensional data through autonomous recognition and scheduling, and obtains information such as the location of building entrances and exits, building floor heights, safety passage locations, and distances from the safety passage entrance to the elevator door;

[0042] Information feedback module: The autonomous identification and scheduling module automatically collects and identifies key information and feeds it back to the robot control module;

[0043] Cloud storage module: The robot control module will autonomously identify and schedule key information and store it in the cloud via wireless local area network.

[0044] Furthermore, the fault type input module includes:

[0045] Fault type acquisition module: Acquires elevator fault type data through elevator fault codes and inputs the elevator fault type data into the robot;

[0046] Trigger status setting module: The robot sets the trigger status that requires emergency rescue based on the elevator's fault type data, and imports the trigger status data to the cloud via wireless local area network;

[0047] Trigger status receiving module: The rescue personnel terminal receives trigger status data transmitted from the cloud via a wireless local area network;

[0048] Furthermore, the autonomous identification and scheduling module includes:

[0049] Fault location determination module: The robot monitors the elevator's operating status in real time. When the elevator malfunctions and triggers a trigger state, the robot analyzes the trigger state data to determine the location of the elevator malfunction and then determines the floor where the malfunctioning elevator is located and the unique number of the corresponding elevator door based on the elevator malfunction location.

[0050] Information mapping module: Matches the elevator floor and the unique elevator door number determined by the elevator malfunction location with the information in the 3D model. The autonomous identification and dispatching module recommends at least one optimal rescue route based on the corresponding information in the 3D model and the optimal path algorithm based on time distance. Optimal path recommendation module: The 3D model recommends at least one optimal route based on time distance using the optimal path algorithm through the autonomous identification and dispatching module.

[0051] Information receiving module: The robot transmits the early warning information and rescue route to the rescuer's terminal via the cloud. Upon receiving the early warning information, the rescuer's terminal will start ringing.

[0052] Rescue module: After hearing the alarm, rescuers will select the optimal route for rescue based on the robot's recommendation.

[0053] The beneficial effects of this invention are as follows: This invention provides an elevator emergency rescue system and method based on robot autonomous identification, which can greatly improve rescue efficiency. When an elevator malfunctions, the robot can automatically identify the location of the malfunction and execute corresponding rescue measures, thus effectively shortening rescue time. It also improves rescue safety. It can monitor elevator parameters in real time to avoid accidents that endanger passenger safety, better resolve malfunctions, and ensure safe operation. Furthermore, it improves the elevator's operational quality. The robot will identify some hidden elevator malfunctions to resolve them more quickly. Simultaneously, it can continuously monitor the elevator's operating status to promptly detect and resolve operational anomalies, improving the elevator's operational quality. This enhances elevator rescue efficiency, safety, and operational quality, enabling passengers to safely and accurately reach their destinations when using the elevator. Attached Figure Description

[0054] Figure 1 This is a diagram illustrating an elevator emergency rescue method based on robot autonomous identification and scheduling as described in this invention;

[0055] Figure 2 This is a diagram of an elevator emergency rescue system based on robot autonomous identification and scheduling as described in this invention;

[0056] Figure 3 This is a flowchart of an elevator emergency rescue system based on robot autonomous identification and scheduling, as described in this invention. Detailed Implementation

[0057] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0058] This invention provides an elevator emergency rescue system and method based on robot autonomous identification and scheduling, to solve the problem of elevator emergency rescue.

[0059] This invention provides an embodiment, such as Figure 1 As shown, an elevator emergency rescue method based on robot autonomous identification and scheduling is described, the method comprising:

[0060] S1: Obtain the blueprint of the building where the elevator equipment is located, and use the key information in the blueprint to set up a three-dimensional model; the key information includes: the location of the building entrance and exit, the building floor height, the location of the safety passage, and the distance from the safety passage entrance to the elevator door; number each elevator, and obtain the unique number of each floor elevator door by adding the floor number to the elevator number;

[0061] S2: Import the 3D model data into the robot. The robot automatically collects and identifies key information in the 3D data and automatically stores the collected and identified data in the cloud.

[0062] S3: Input the elevator's fault type data into the robot, the robot activates an emergency trigger state, and sends the emergency trigger state to the cloud. The cloud then connects to the rescue personnel's terminal via a wireless LAN.

[0063] S4: The robot monitors the elevator's operating status in real time. When a fault triggers a state that meets the rescue conditions, it issues an early warning and recommends at least one optimal rescue path based on the warning information. The warning information and the optimal rescue path are then transmitted to the rescue personnel's terminal via the cloud, allowing the rescue personnel to carry out the rescue operation.

[0064] The working principle of the above technical solution is as follows: First, obtain the blueprint of the building where the elevator is located, extract data from the building blueprint to build a three-dimensional model, and set key information such as the location of the building entrances and exits, the building floor height, the location of the safety passage, and the distance from the safety passage entrance to the elevator door in the three-dimensional model; number each elevator, and obtain a unique number for each floor's elevator door by adding the floor number to the elevator number; import the three-dimensional model data into the robot, which automatically collects and identifies key information in the three-dimensional data, and automatically stores the collected and identified data in the cloud; input the elevator fault type data into the robot, set the trigger state that requires emergency rescue, and import the trigger state data into the cloud; after receiving the trigger state data, the cloud transmits it to the rescue personnel's terminal system via a wireless local area network; after receiving the trigger state data, the rescue personnel's terminal system starts ringing the alarm; after hearing the alarm, the rescue personnel receive robot instructions through the rescue personnel's terminal system; the robot obtains the location of the elevator fault through the trigger state data, and recommends at least one optimal rescue path to the rescue personnel through autonomous identification and scheduling of the three-dimensional model data.

[0065] The effects of the above technical solution are as follows: Obtaining the blueprint of the building where the elevator equipment is located allows for a better understanding of the building's structure and function. Extracting data from the building blueprint to create a 3D model improves the model's visualization, helps users understand the modeled object more clearly, and can simulate the actual environment. It also allows for more effective model detection and editing, making the simulation operation more precise, accurate, and simple. Key information such as the location of building entrances and exits, building floor heights, safety passage locations, and the distance from the safety passage entrance to the elevator door are set in the 3D model. Each elevator is numbered, and a unique number for each elevator door is obtained by adding the floor number to the elevator number. Importing the 3D model data into the robot allows the robot to understand the environment more accurately, thus performing tasks better. Through 3D data, the robot can obtain more accurate spatial information, enabling it to complete tasks more accurately, improve execution efficiency, and reduce errors. Furthermore, importing 3D data into the robot improves its understanding of the environment, helping it operate more effectively. The robot automatically collects and identifies key information from the 3D data, automatically storing the collected and identified data in the cloud. Cloud data storage allows users to more easily access and share data and helps save local data storage space. Furthermore, cloud-based data storage enhances user security, as data is stored only on secure servers and protected from malicious attacks and damage through advanced security systems. By inputting elevator malfunction type data into the robot, it can determine if the elevator is malfunctioning based on its operational status and set emergency rescue trigger states. This allows for immediate response in the event of a malfunction, importing the trigger state data to the cloud. Upon receiving this data, the cloud transmits it to the rescue personnel's terminal system via Wi-Fi, significantly improving convenience and flexibility and saving rescuers considerable time. The rescue personnel's terminal system, upon receiving the trigger state data, rings an alarm, immediately alerting rescuers and improving efficiency and saving time, thus maximizing the safety of those being rescued. Rescuers, upon hearing the alarm, receive robot commands through their terminal system.

[0066] This invention provides an embodiment in which the blueprint of the building where the elevator equipment is located is obtained, data from the building blueprint is extracted to build a three-dimensional model, and key information in the three-dimensional model is set. The key information includes: the location of the building entrance / exit, the building floor height, the location of the safety passage, and the distance from the safety passage entrance to the elevator door. Each elevator is numbered, and the unique number of each floor's elevator door is obtained by adding the floor number to the elevator number.

[0067] S11: Determine the location of the elevator equipment, determine the building where the elevator is located based on the location of the elevator equipment, and obtain the building blueprint;

[0068] S12: Analyze the building blueprint to determine the building type, and extract data from the building blueprint, including the building's shape, dimensions, and supporting structure;

[0069] S13: Establish a three-dimensional model using the extracted building blueprint data, and set the starting point and ending point of emergency rescue in the three-dimensional building model. The starting point is the location of the building entrance and the ending point is the elevator door corresponding to the floor where the elevator that has malfunctioned and needs emergency rescue is located.

[0070] S14: Number each elevator, obtain the elevator data after numbering, and set a unique number for each elevator door by adding the floor number to the elevator number.

[0071] The working principle of the above technical solution is as follows: The location of the elevator is determined based on the elevator malfunction; the building where the elevator is located is determined based on the elevator's location, and a building blueprint is obtained; the building blueprint is analyzed to determine the building type, and then data is extracted from the building blueprint; a three-dimensional model is built using the extracted building blueprint data, and the starting and ending points for emergency rescue are set in the three-dimensional building model. The starting point is the building entrance / exit location, and the ending point is the elevator door corresponding to the floor where the malfunctioning elevator requires emergency rescue; each elevator is numbered, and the elevator data after numbering is obtained; a unique number for each floor's elevator door is obtained by adding the floor number to the elevator number.

[0072] The effects of the above technical solution are as follows: First, determining the location of the elevator equipment helps save time. Based on the location of the elevator equipment, the building where the elevator is located is determined and the building blueprint is obtained. This allows for better analysis and calculation of the building's structure and construction, a clearer understanding of the building's structure and performance, and provides useful information on the building's detailed design and operational status. The building blueprint is then analyzed to determine the building type, and finally, the data in the building blueprint is extracted.

[0073] By constructing a 3D model using extracted architectural blueprint data, the model more closely resembles the actual object, providing a more vivid visual experience and allowing for clearer observation of its shape and characteristics. Furthermore, it offers a more intuitive understanding of the object's internal structure, better aiding user comprehension and facilitating the development of a human-computer interaction system. The 3D building model also allows for the setting of start and end points for emergency rescue. Using these settings enables more efficient route planning, optimizing the journey and saving time and distance. The start point is the building entrance / exit location, and the end point is the elevator door corresponding to the floor where the malfunctioning elevator requires emergency rescue. Each elevator is numbered, and the unique elevator door number for each floor is obtained by adding the floor number to the elevator number. Using unique numbers effectively manages relevant information, avoids information confusion and duplication, reduces redundant data input, and improves system data consistency and accuracy, ensuring the accuracy, timeliness, and security of system data.

[0074] This invention provides an embodiment in which three-dimensional model data is imported into a robot, the robot automatically collects and identifies key information in the three-dimensional data, and automatically stores the collected and identified data in the cloud, including:

[0075] S21: Import the 3D model data into the robot via a wireless local area network. The robot receives the 3D model data and stores it in the autonomous recognition and scheduling module.

[0076] S22: The robot automatically collects and identifies key information in the three-dimensional data through autonomous recognition and scheduling, and obtains information such as the location of building entrances and exits, building floor heights, safety passage locations, and the distance from the safety passage entrance to the elevator door.

[0077] S23: Autonomous identification and scheduling will automatically collect and identify key information and feed it back to the robot control module;

[0078] S24: The robot control module will autonomously identify and schedule key information and store it in the cloud via a wireless local area network.

[0079] The working principle of the above technical solution is as follows: First, the three-dimensional model data is imported into the robot via a wireless local area network. The robot receives the three-dimensional model data and then stores it in the autonomous recognition and scheduling system. Next, the robot automatically collects and identifies key information in the three-dimensional data through autonomous recognition and scheduling, obtaining information such as the location of building entrances and exits, building floor heights, safety passage locations, and the distance from the safety passage entrance to the elevator door. The autonomous recognition and scheduling system feeds back the automatically collected and identified key information to the robot. The robot then stores the key information fed back from the autonomous recognition and scheduling system in the cloud via the wireless local area network.

[0080] The effects of the above technical solution are as follows: Importing 3D model data into the robot via a wireless local area network (WLAN) greatly simplifies robot programming and maintenance, while also reducing robot runtime. WLAN allows the robot to acquire 3D model data more easily and quickly, thereby accelerating robot training and task completion. Furthermore, it improves the robot's operational functions, enabling it to flexibly perform more complex tasks. The robot receives the 3D model data and stores it in its autonomous recognition and scheduling system. This helps the robot perform more accurate recognition, enhances its understanding of objects, and provides more precise recognition results. Through autonomous recognition and scheduling, the robot automatically collects and identifies key information from the 3D data, obtaining information such as building entrance / exit locations, building floor heights, safety passage locations, and distances from safety passage entrances to elevator doors. This significantly improves work efficiency, greatly reduces manual processing time, allows for rapid and accurate task completion, and avoids human error.

[0081] The autonomous identification and scheduling system automatically collects and identifies key information and feeds it back to the robot. The robot then stores the key information fed back by the autonomous identification and scheduling system in the cloud via a wireless local area network. This allows for timely responses to the robot's feedback, reducing manpower and costs, and improving efficiency.

[0082] This invention provides an embodiment in which elevator fault type data is input to the robot, and a trigger state requiring emergency rescue is set. The trigger state data is imported to the cloud. After receiving the trigger state data, the cloud transmits it to the rescuer's terminal system via a wireless local area network. Upon receiving the trigger state data, the rescuer's terminal system starts ringing an alarm. After hearing the alarm, the rescuer receives robot instructions through the rescuer's terminal system, including:

[0083] S31: Obtain elevator fault type data through elevator fault codes and input the elevator fault type data into the robot;

[0084] S32: The robot sets the trigger state that requires emergency rescue based on the elevator's fault type data, and imports the trigger state data to the cloud via wireless local area network;

[0085] S33: The rescue personnel's terminal receives the trigger status data transmitted from the cloud via a wireless local area network;

[0086] The working principle of the above technical solution is as follows: First, the elevator fault code is found through the elevator operation manual or by visiting the elevator manufacturer's official website. Then, the elevator fault type data is obtained and input into the robot. The robot sets the trigger state for emergency rescue based on the elevator fault type data. When the robot detects an elevator fault, it automatically triggers the early warning system and imports the trigger state data to the cloud via a wireless local area network. The rescue personnel's terminal receives the trigger state data transmitted from the cloud via a wireless local area network.

[0087] The effects of the above technical solution are as follows: Obtaining elevator fault type data through elevator fault codes helps the robot locate faults more quickly and relay the information to rescue personnel, thus shortening rescue time and improving efficiency. Inputting the elevator fault type data into the robot allows it to quickly analyze the cause and location of the fault, enabling targeted problem-solving. Setting emergency rescue trigger states based on the elevator fault type data allows for more effective control of the emergency response process and timely rescue operations. It also allows relevant personnel to better understand the development of the emergency situation and take timely and effective countermeasures. The robot imports trigger state data to the cloud via Wi-Fi. Upon receiving the trigger state data, the cloud transmits it to the rescue personnel's terminal system via Wi-Fi, enabling rescue personnel to obtain the trigger state data in a timely manner, effectively grasp the latest situation on-site, and help formulate the best rescue strategy.

[0088] This invention provides an embodiment in which the robot obtains the location of the elevator malfunction through trigger state data, and recommends at least one optimal rescue path to rescue personnel through autonomous recognition and scheduling of three-dimensional model data, including:

[0089] S41: The robot monitors the elevator's operating status in real time. When the elevator malfunctions and triggers a trigger state, the robot analyzes the trigger state data to determine the location of the elevator malfunction and uses the elevator malfunction location to determine the floor where the malfunctioning elevator is located and the unique number of the corresponding elevator door.

[0090] S42: Match the unique number of the elevator floor and corresponding elevator door determined by the elevator fault location with the information in the three-dimensional model. The autonomous identification and scheduling module recommends at least one optimal rescue route based on the corresponding information in the three-dimensional model and the time distance using the optimal path algorithm.

[0091] S43: The robot sends the warning information and rescue route to the rescue personnel's terminal via the cloud. Upon receiving the warning information, the rescue personnel's terminal starts ringing.

[0092] S44: After hearing the alarm, rescuers will choose the optimal route for rescue based on the robot's recommendation.

[0093] The optimal path algorithm is as follows: Q[x,y] - C[x,y] = min { Q[x-1,y], Q[x,y-1], Q[x-1,y-1]} where Q[x,y] represents the value of the optimal path from the starting point (0,0) of the emergency rescue to the ending point (x,y) of the elevator malfunction location, and C[x,y] represents the path cost from the node to the ending point.

[0094] The working principle of the above technical solution is as follows: The robot monitors the elevator's operating status in real time. When the elevator malfunctions and triggers a state, the robot analyzes the trigger state data to determine the location of the elevator malfunction and the unique number of the corresponding elevator door. The robot then matches the information of the elevator's floor and door with the information in the 3D model. The autonomous identification and scheduling module recommends at least one optimal rescue path based on the corresponding information in the 3D model and the time distance using an optimal path algorithm. The robot sends the warning information and rescue path to the rescue personnel's terminal via the cloud. Upon receiving the warning information, the rescue personnel's terminal rings the alarm. After hearing the alarm, the rescue personnel select the optimal path recommended by the robot for rescue.

[0095] The effects of the above technical solution are as follows: The robot determines the location of the elevator malfunction by analyzing trigger state data. Using the robot to detect the location of the elevator malfunction effectively improves the accuracy of rescue efforts and significantly reduces the time spent locating the malfunction. The robot can also collect and analyze data on the malfunction trigger state, such as the elevator's operating status, load information, and possible malfunction warning states, to help rescuers quickly and accurately determine the location of the malfunction. Furthermore, by determining the elevator malfunction location, the robot identifies the floor where the malfunctioning elevator is located and the unique number of the corresponding elevator door, allowing rescuers to find the malfunctioning elevator more quickly and effectively. Next, the unique elevator door number information determined by the elevator malfunction location is matched with information in the 3D model, enabling emergency rescuers to quickly and accurately locate the malfunctioning elevator, thus facilitating faster and more effective rescue. The 3D model, through an autonomous recognition and scheduling module, recommends at least one optimal path based on time distance using an optimal path algorithm, making more efficient use of time distance and achieving faster rescue. Because of the use of the autonomous recognition and scheduling module, the robot can provide the optimal scheduling mode based on the current real-time situation and use the optimal path algorithm to find the best path, saving time, distance, and resources, and improving rescue efficiency. Rescuers selected the optimal route based on the robot's recommendations.

[0096] One embodiment of the present invention provides an elevator emergency rescue system based on robot autonomous identification and scheduling, the system comprising:

[0097] 3D Model Building Module: Obtains the blueprint of the building where the elevator equipment is located, and uses key information from the blueprint to create a 3D model; the key information includes: the location of the building entrance and exit, the building floor height, the location of the safety passage, and the distance from the safety passage entrance to the elevator door; each elevator is numbered, and the unique number of each floor's elevator door is obtained by adding the floor number to the elevator number;

[0098] Data import module: Imports 3D model data into the robot. The robot automatically collects and identifies key information in the 3D data and automatically stores the collected and identified data in the cloud.

[0099] Fault type input module: Input the elevator fault type data into the robot, the robot activates an emergency trigger state and sends the emergency trigger state to the cloud, the cloud connects to the rescue personnel's terminal via wireless LAN;

[0100] Autonomous identification and scheduling module: The robot monitors the elevator's operating status in real time. When a fault triggers a state that meets the rescue conditions, it issues an early warning and recommends at least one optimal rescue route based on the warning information. The warning information and the optimal rescue route are then transmitted to the rescue personnel's terminal via the cloud, allowing the rescue personnel to carry out the rescue operation.

[0101] The working principle of the above technical solution is as follows: First, the system enters the 3D model building module to obtain the blueprint of the building where the elevator is located, extracts data from the building blueprint to build a 3D model, and sets key information such as the location of the building entrances and exits, the building floor height, the location of the safety passage, and the distance from the safety passage entrance to the elevator door in the 3D model; each elevator is numbered, and the unique number of each elevator door is obtained by adding the floor number to the elevator number; the system enters the data import module to import the 3D model data into the robot, which automatically collects and identifies key information in the 3D data and automatically stores the collected and identified data in the cloud; next, the system enters the fault type input module to input the elevator fault type data into the robot and sets the trigger state that requires emergency rescue, importing the trigger state data into the cloud, and transmitting the trigger state data to the rescuer terminal system via wireless LAN after receiving the trigger state data. After receiving the trigger state data, the rescuer terminal system starts ringing the alarm, and the rescuer receives robot instructions through the rescuer terminal system after hearing the alarm; finally, the system enters the autonomous identification and scheduling module, where the robot obtains the location of the elevator fault through the trigger state data and recommends at least one optimal rescue path to the rescuer through autonomous identification and scheduling of the 3D model data.

[0102] The effects of the above technical solution are as follows: Obtaining the blueprint of the building where the elevator equipment is located allows for a better understanding of the building's structure and function. Extracting data from the building blueprint to create a 3D model improves the model's visualization, helps users understand the modeled object more clearly, and can simulate the actual environment. It also allows for more effective model detection and editing, making the simulation operation more precise, accurate, and simple. Key information such as the location of building entrances and exits, building floor heights, safety passage locations, and the distance from the safety passage entrance to the elevator door are set in the 3D model. Each elevator is numbered, and a unique number for each elevator door is obtained by adding the floor number to the elevator number. Importing the 3D model data into the robot allows the robot to understand the environment more accurately, thus performing tasks better. Through 3D data, the robot can obtain more accurate spatial information, enabling it to complete tasks more accurately, improve execution efficiency, and reduce errors. Furthermore, importing 3D data into the robot improves its understanding of the environment, helping it operate more effectively. The robot automatically collects and identifies key information from the 3D data, automatically storing the collected and identified data in the cloud. Cloud data storage allows users to more easily access and share data and helps save local data storage space. Furthermore, cloud-based data storage enhances user security, as data is stored only on secure servers and protected from malicious attacks and damage through advanced security systems. By inputting elevator malfunction type data into the robot, it can determine if the elevator is malfunctioning based on its operational status and set emergency rescue trigger states. This allows for immediate response in the event of a malfunction, importing the trigger state data to the cloud. Upon receiving this data, the cloud transmits it to the rescue personnel's terminal system via Wi-Fi, significantly improving convenience and flexibility and saving rescuers considerable time. The rescue personnel's terminal system, upon receiving the trigger state data, rings an alarm, immediately alerting rescuers and improving efficiency and saving time, thus maximizing the safety of those being rescued. Rescuers, upon hearing the alarm, receive robot commands through their terminal system.

[0103] In one embodiment of the present invention, the stereo model building module includes:

[0104] Location determination module: Determines the location of the elevator equipment, determines the building where the elevator is located based on the location of the elevator equipment, and obtains the building blueprint;

[0105] Building blueprint analysis module: Analyzes the building blueprint, determines the building type, and extracts data from the building blueprint, including the building's shape, dimensions, and supporting structure;

[0106] Rescue point setting module: A three-dimensional model is built by extracting data from the building blueprints, and the start and end points of emergency rescue are set in the three-dimensional building model. The start point is the location of the building entrance and exit, and the end point is the elevator door corresponding to the floor where the elevator that has malfunctioned and needs emergency rescue is located.

[0107] Elevator Numbering Module: Numbers each elevator, obtains elevator data after numbering, and sets a unique number for each elevator door by adding the floor number to the elevator number.

[0108] The working principle of the above technical solution is as follows: Entering the location determination module, the location of the elevator equipment is determined based on the elevator malfunction, and the building where the elevator is located is determined based on the elevator equipment location, and the building blueprint is obtained; entering the building blueprint analysis module, the building blueprint is analyzed to determine the building type, and then data is extracted from the building blueprint; entering the rescue point setting module, a three-dimensional model is built using the extracted building blueprint data, and the start and end points of emergency rescue are set in the three-dimensional building model. The start point is the building entrance / exit location, and the end point is the elevator door corresponding to the floor where the malfunctioning elevator requires emergency rescue; entering the elevator numbering module, each elevator is numbered, and the unique number of each floor's elevator door is obtained by adding the floor number to the elevator number.

[0109] The effects of the above technical solution are as follows: First, determining the location of the elevator equipment helps save time. Based on the location of the elevator equipment, the building where the elevator is located is determined and the building blueprint is obtained. This allows for better analysis and calculation of the building's structure and construction, a clearer understanding of the building's structure and performance, and provides useful information on the building's detailed design and operational status. The building blueprint is then analyzed to determine the building type, and finally, the data in the building blueprint is extracted.

[0110] By constructing a 3D model using extracted architectural blueprint data, the model more closely resembles the actual object, providing a more vivid visual experience and allowing for clearer observation of its shape and characteristics. Furthermore, it offers a more intuitive understanding of the object's internal structure, better aiding user comprehension and facilitating the development of a human-computer interaction system. The 3D building model also allows for the setting of start and end points for emergency rescue. Using these settings enables more efficient route planning, optimizing the journey and saving time and distance. The start point is the building entrance / exit location, and the end point is the elevator door corresponding to the floor where the malfunctioning elevator requires emergency rescue. Each elevator is numbered, and the unique elevator door number for each floor is obtained by adding the floor number to the elevator number. Using unique numbers effectively manages relevant information, avoids information confusion and duplication, reduces redundant data input, and improves system data consistency and accuracy, ensuring the accuracy, timeliness, and security of system data.

[0111] In one embodiment of the present invention, the data import module includes:

[0112] Data import module: Imports 3D model data into the robot via wireless LAN. The robot receives the 3D model data and stores it in the autonomous recognition and scheduling module.

[0113] Information recognition module: The robot automatically collects and recognizes key information in the three-dimensional data through autonomous recognition and scheduling, and obtains information such as the location of building entrances and exits, building floor heights, safety passage locations, and distances from the safety passage entrance to the elevator door;

[0114] Information feedback module: The autonomous identification and scheduling module automatically collects and identifies key information and feeds it back to the robot control module;

[0115] Cloud storage module: The robot control module will autonomously identify and schedule key information and store it in the cloud via wireless local area network.

[0116] The working principle of the above technical solution is as follows: First, the robot enters the data import module, importing the 3D model data into the robot via a wireless local area network. The robot receives the 3D model data and then stores it in the autonomous recognition and scheduling module. Next, the robot enters the system information recognition module, where it automatically collects and recognizes key information in the 3D data through autonomous recognition and scheduling, obtaining information such as the location of building entrances and exits, building floor heights, safety passage locations, and the distance from the safety passage entrance to the elevator door. Then, the robot enters the information feedback module, where the autonomous recognition and scheduling module feeds back the automatically collected and recognized key information to the robot. Finally, the robot enters the cloud storage module, where it stores the key information fed back from the autonomous recognition and scheduling module in the cloud via a wireless local area network.

[0117] The effects of the above technical solution are as follows: Importing 3D model data into the robot via a wireless local area network (WLAN) greatly simplifies robot programming and maintenance, while also reducing robot runtime. WLAN allows the robot to acquire 3D model data more easily and quickly, thereby accelerating robot training and task completion. Furthermore, it improves the robot's operational functions, enabling it to flexibly perform more complex tasks. The robot receives the 3D model data and stores it in its autonomous recognition and scheduling system. This helps the robot perform more accurate recognition, enhances its understanding of objects, and provides more precise recognition results. Through autonomous recognition and scheduling, the robot automatically collects and identifies key information from the 3D data, obtaining information such as building entrance / exit locations, building floor heights, safety passage locations, and distances from safety passage entrances to elevator doors. This significantly improves work efficiency, greatly reduces manual processing time, allows for rapid and accurate task completion, and avoids human error.

[0118] The autonomous identification and scheduling system automatically collects and identifies key information and feeds it back to the robot. The robot then stores the key information fed back by the autonomous identification and scheduling system in the cloud via a wireless local area network. This allows for timely responses to the robot's feedback, reducing manpower and costs, and improving efficiency.

[0119] In one embodiment of the present invention, the fault type input module includes:

[0120] Fault type acquisition module: Acquires elevator fault type data through elevator fault codes and inputs the elevator fault type data into the robot;

[0121] Trigger status setting module: The robot sets the trigger status that requires emergency rescue based on the elevator's fault type data, and imports the trigger status data to the cloud via wireless local area network;

[0122] Trigger status receiving module: The rescue personnel terminal receives trigger status data transmitted from the cloud via a wireless local area network;

[0123] The working principle of the above technical solution is as follows: First, the fault type acquisition module searches for elevator fault codes through the elevator's operation manual or the elevator manufacturer's official website, then obtains the elevator's fault type data and inputs it into the robot; next, the trigger status setting module is entered, where the robot sets the trigger status for emergency rescue based on the elevator's fault type data. When the robot detects an elevator fault, it automatically triggers the early warning system and imports the trigger status data to the cloud via a wireless local area network; finally, the trigger status receiving module is entered, where the rescue personnel's terminal receives the trigger status data transmitted from the cloud via a wireless local area network.

[0124] The effects of the above technical solution are as follows: Obtaining elevator fault type data through elevator fault codes helps the robot locate faults more quickly and relay the information to rescue personnel, thus shortening rescue time and improving efficiency. Inputting the elevator fault type data into the robot allows it to quickly analyze the cause and location of the fault, enabling targeted problem-solving. Setting emergency rescue trigger states based on the elevator fault type data allows for more effective control of the emergency response process and timely rescue operations. It also allows relevant personnel to better understand the development of the emergency situation and take timely and effective countermeasures. The robot imports trigger state data to the cloud via Wi-Fi. Upon receiving the trigger state data, the cloud transmits it to the rescue personnel's terminal system via Wi-Fi, enabling rescue personnel to obtain the trigger state data in a timely manner, effectively grasp the latest situation on-site, and help formulate the best rescue strategy.

[0125] In one embodiment of the present invention, the autonomous identification and scheduling module includes:

[0126] Fault location determination module: The robot monitors the elevator's operating status in real time. When the elevator malfunctions and triggers a trigger state, the robot analyzes the trigger state data to determine the location of the elevator malfunction and then determines the floor where the malfunctioning elevator is located and the unique number of the corresponding elevator door based on the elevator malfunction location.

[0127] Information mapping module: Matches the elevator floor and the unique elevator door number determined by the elevator malfunction location with the information in the 3D model. The autonomous identification and dispatching module recommends at least one optimal rescue route based on the corresponding information in the 3D model and the optimal path algorithm based on time distance. Optimal path recommendation module: The 3D model recommends at least one optimal route based on time distance using the optimal path algorithm through the autonomous identification and dispatching module.

[0128] Information receiving module: The robot transmits the early warning information and rescue route to the rescuer's terminal via the cloud. Upon receiving the early warning information, the rescuer's terminal will start ringing.

[0129] Rescue module: After hearing the alarm, rescuers will select the optimal route for rescue based on the robot's recommendation.

[0130] The optimal path algorithm is as follows: Q[x,y] - C[x,y] = min { Q[x-1,y], Q[x,y-1], Q[x-1,y-1]} where Q[x,y] represents the value of the optimal path from the starting point (0,0) of the emergency rescue to the ending point (x,y) of the elevator malfunction location, and C[x,y] represents the path cost from the node to the ending point.

[0131] The working principle of the above technical solution is as follows: Through the fault point determination module, the robot monitors the elevator's operating status in real time. When the elevator malfunctions and triggers a trigger state, the robot determines the location of the elevator malfunction by analyzing the trigger state data, and determines the floor where the malfunctioning elevator is located and the unique number of the corresponding elevator door based on the elevator malfunction location. Entering the information matching module, the robot matches the elevator floor and the unique number of the corresponding elevator door determined by the elevator malfunction location with the information in the 3D model. The autonomous identification and scheduling module recommends at least one optimal rescue path based on the time distance and the corresponding information in the 3D model using an optimal path algorithm. Entering the information receiving module, the robot sends the warning information and rescue path to the rescue personnel's terminal via the cloud. Upon receiving the warning information, the rescue personnel's terminal rings the alarm. Entering the rescue module, after hearing the alarm, the rescue personnel select the optimal path recommended by the robot for rescue.

[0132] The effects of the above technical solution are as follows: The robot determines the location of the elevator malfunction by analyzing trigger state data. Using the robot to detect the location of the elevator malfunction effectively improves the accuracy of rescue efforts and significantly reduces the time spent locating the malfunction. The robot can also collect and analyze data on the malfunction trigger state, such as the elevator's operating status, load information, and possible malfunction warning states, to help rescuers quickly and accurately determine the location of the malfunction. Furthermore, by determining the elevator malfunction location, the robot identifies the floor where the malfunctioning elevator is located and the unique number of the corresponding elevator door, allowing rescuers to find the malfunctioning elevator more quickly and effectively. Next, the unique elevator door number information determined by the elevator malfunction location is matched with information in the 3D model, enabling emergency rescuers to quickly and accurately locate the malfunctioning elevator, thus facilitating faster and more effective rescue. The 3D model, through an autonomous recognition and scheduling module, recommends at least one optimal path based on time distance using an optimal path algorithm, making more efficient use of time distance and achieving faster rescue. Because of the use of the autonomous recognition and scheduling module, the robot can provide the optimal scheduling mode based on the current real-time situation and use the optimal path algorithm to find the best path, saving time, distance, and resources, and improving rescue efficiency. Rescuers selected the optimal route based on the robot's recommendations.

[0133] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. An elevator emergency rescue method based on robot autonomous identification and scheduling, characterized in that, The method includes: S1: Obtain the blueprint of the building where the elevator equipment is located, and use the key information in the blueprint to set up a three-dimensional model; the key information includes: the location of the building entrance and exit, the building floor height, the location of the safety passage, and the distance from the safety passage entrance to the elevator door; number each elevator, and obtain the unique number of each floor elevator door by adding the floor number to the elevator number; S2: Import the 3D model data into the robot. The robot automatically collects and identifies key information in the 3D data and automatically stores the collected and identified data in the cloud. S3: Input the elevator's fault type data into the robot, the robot activates an emergency trigger state, and sends the emergency trigger state to the cloud. The cloud then connects to the rescue personnel's terminal via a wireless LAN. S4: The robot monitors the elevator's operating status in real time. When a malfunction triggers an emergency response, it issues an early warning if the conditions for rescue are met. Based on the warning information, it recommends at least one optimal rescue route and transmits the warning information and the optimal rescue route to the rescue personnel's terminal via the cloud. The rescue personnel then use the information on their terminal to carry out the rescue. The S2 includes: S21: Import the 3D model data into the robot via a wireless local area network. The robot receives the 3D model data and stores it in the autonomous recognition and scheduling module. S22: The robot automatically collects and identifies key information in the three-dimensional data through autonomous recognition and scheduling, and obtains information such as the location of building entrances and exits, building floor heights, safety passage locations, and the distance from the safety passage entrance to the elevator door. S23: Autonomous identification and scheduling will automatically collect and identify key information and feed it back to the robot control module; S24: The robot control module will autonomously identify and schedule key information and store it in the cloud via a wireless local area network.

2. The elevator emergency rescue method based on robot autonomous identification and scheduling according to claim 1, characterized in that, The process involves obtaining a blueprint of the building where the elevator equipment is located, and using key information from the blueprint to create a three-dimensional model. The key information includes: the location of building entrances and exits, building floor heights, the location of safety passages, and the distance from the safety passage entrance to the elevator door; each elevator is numbered, and a unique number for each elevator door is obtained by adding the floor number to the elevator number, including: S11: Determine the location of the elevator equipment, determine the building where the elevator is located based on the location of the elevator equipment, and obtain the building blueprint; S12: Analyze the building blueprint to determine the building type, and extract data from the building blueprint, including the building's shape, dimensions, and supporting structure; S13: Establish a three-dimensional model using the extracted building blueprint data, and set the starting point and ending point of emergency rescue in the three-dimensional building model. The starting point is the location of the building entrance and the ending point is the elevator door corresponding to the floor where the elevator that has malfunctioned and needs emergency rescue is located. S14: Number each elevator, obtain the elevator data after numbering, and set a unique number for each elevator door by adding the floor number to the elevator number.

3. The elevator emergency rescue method based on robot autonomous identification and scheduling according to claim 1, characterized in that, The process involves inputting elevator malfunction type data into the robot, triggering an emergency response, and then sending this response to the cloud. The cloud then connects to the rescue personnel's terminal via a wireless local area network. S31: Obtain elevator fault type data through elevator fault codes and input the elevator fault type data into the robot; S32: The robot sets the emergency trigger state that requires emergency rescue based on the elevator's fault type data, and imports the emergency trigger state data to the cloud via wireless local area network; S33: The rescue personnel terminal receives emergency trigger status data transmitted from the cloud via a wireless local area network.

4. The elevator emergency rescue method based on robot autonomous identification and scheduling according to claim 1, characterized in that, The robot monitors the elevator's operating status in real time. When a malfunction triggers an emergency response and rescue conditions are met, it issues an early warning and recommends at least one optimal rescue route based on the warning information. The warning information and the optimal rescue route are then transmitted to the rescue personnel's terminal via the cloud. The rescue personnel then use this information to conduct the rescue operation, including: S41: The robot monitors the elevator's operating status in real time. When the elevator malfunctions and triggers an emergency trigger state, the robot analyzes the emergency trigger state data to determine the location of the elevator malfunction and uses the location of the elevator malfunction to determine the floor where the malfunctioning elevator is located and the unique number of the corresponding elevator door. S42: The unique number of the elevator door and the elevator floor determined by the location of the elevator malfunction are matched with the information in the three-dimensional model. The autonomous identification and scheduling module recommends at least one optimal rescue route based on the corresponding information in the three-dimensional model and the time distance using the optimal path algorithm. S43: The robot sends the warning information and rescue route to the rescue personnel's terminal via the cloud. Upon receiving the warning information, the rescue personnel's terminal starts ringing. S44: After hearing the alarm, rescuers will choose the optimal route for rescue based on the robot's recommendation.

5. An elevator emergency rescue system based on robot autonomous identification and scheduling, characterized in that, The system includes: 3D Model Building Module: Obtains the blueprint of the building where the elevator equipment is located, and uses key information from the blueprint to create a 3D model; the key information includes: the location of the building entrance and exit, the building floor height, the location of the safety passage, and the distance from the safety passage entrance to the elevator door; each elevator is numbered, and the unique number of each floor's elevator door is obtained by adding the floor number to the elevator number; Data import module: Imports 3D model data into the robot. The robot automatically collects and identifies key information in the 3D data and automatically stores the collected and identified data in the cloud. Fault type input module: Input the elevator fault type data into the robot, the robot activates an emergency trigger state and sends the emergency trigger state to the cloud, the cloud connects to the rescue personnel's terminal via wireless LAN; Autonomous identification and scheduling module: The robot monitors the elevator's operating status in real time. When a malfunction triggers an emergency response and meets the rescue conditions, it issues an early warning and recommends at least one optimal rescue route based on the warning information. The warning information and the optimal rescue route are then transmitted to the rescue personnel's terminal via the cloud, allowing the rescue personnel to conduct the rescue operation based on the information on their terminal. The data import module includes: Data import module: Imports 3D model data into the robot via wireless LAN. The robot receives the 3D model data and stores it in the autonomous recognition and scheduling module. Information recognition module: The robot automatically collects and recognizes key information in the three-dimensional data through autonomous recognition and scheduling, and obtains information such as the location of building entrances and exits, building floor heights, safety passage locations, and distances from the safety passage entrance to the elevator door; Information feedback module: The autonomous identification and scheduling module automatically collects and identifies key information and feeds it back to the robot control module; Cloud storage module: The robot control module will autonomously identify and schedule key information and store it in the cloud via wireless local area network.

6. The elevator emergency rescue system based on robot autonomous identification and scheduling according to claim 5, characterized in that, The 3D model creation module includes: Location determination module: Determines the location of the elevator equipment, determines the building where the elevator is located based on the location of the elevator equipment, and obtains the building blueprint; Building blueprint analysis module: Analyzes the building blueprint, determines the building type, and extracts data from the building blueprint, including the building's shape, dimensions, and supporting structure; Rescue point setting module: A three-dimensional model is built by extracting data from the building blueprints, and the start and end points of emergency rescue are set in the three-dimensional building model. The start point is the location of the building entrance and exit, and the end point is the elevator door corresponding to the floor where the elevator that has malfunctioned and needs emergency rescue is located. Elevator Numbering Module: Numbers each elevator, obtains elevator data after numbering, and sets a unique number for each elevator door by adding the floor number to the elevator number.

7. The elevator emergency rescue system based on robot autonomous identification and scheduling according to claim 5, characterized in that, The fault type input module includes: Fault type acquisition module: Acquires elevator fault type data through elevator fault codes and inputs the elevator fault type data into the robot; Trigger status setting module: The robot sets the emergency trigger status that requires emergency rescue based on the elevator's fault type data, and imports the emergency trigger status data to the cloud via wireless local area network; Trigger Status Receiving Module: The rescue personnel terminal receives emergency trigger status data transmitted from the cloud via a wireless local area network.

8. The elevator emergency rescue system based on robot autonomous identification and scheduling according to claim 5, characterized in that, The autonomous identification and scheduling module includes: Fault location determination module: The robot monitors the elevator's operating status in real time. When the elevator malfunctions and triggers an emergency trigger state, the robot determines the location of the elevator malfunction by analyzing the emergency trigger state data, and determines the floor where the malfunctioning elevator is located and the unique number of the corresponding elevator door based on the elevator malfunction location. Information Matching Module: Matches the elevator floor and the unique elevator door number determined by the elevator malfunction location with the information in the 3D model. The Autonomous Recognition and Dispatch Module recommends at least one optimal rescue route based on the corresponding information in the 3D model and the optimal path algorithm based on time distance. Optimal Path Recommendation Module: The 3D model recommends at least one optimal route based on time distance using the optimal path algorithm through the Autonomous Recognition and Dispatch Module. Information receiving module: The robot transmits the early warning information and rescue route to the rescuer's terminal via the cloud. Upon receiving the early warning information, the rescuer's terminal will start ringing. Rescue module: After hearing the alarm, rescuers will select the optimal route for rescue based on the robot's recommendation.

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