An AI-based elevator health index evaluation system and method

Abstract

This invention proposes an elevator health index evaluation system and method based on artificial intelligence. The system determines the elevator type and its basic information, including installation location, installation time, maintenance cycle, and model. An artificial intelligence management system is integrated into the elevator health index evaluation system to assess and determine the elevator's health index. This invention provides an AI-based elevator health index evaluation system and method that significantly accelerates the assessment of elevator health indices through artificial intelligence technology, thereby effectively shortening fault diagnosis time, reducing maintenance costs, improving elevator efficiency and safety, and ensuring normal elevator operation. Furthermore, using artificial intelligence technology also improves work efficiency and helps ensure the safety and reliability of elevator operation.

Description

Technical Field

[0001] This invention proposes an elevator health index evaluation system and method based on artificial intelligence, belonging to the field of artificial intelligence technology. Background Technology

[0002] Elevator health index evaluation is an assessment of the operational status and safety of elevator equipment. It primarily determines the overall health status index of the elevator based on multiple factors, including elevator operating time, version, maintenance records, and the condition of safety facilities. This index helps managers assess elevator safety, promptly identify existing problems, and provide a basis and guarantee for safe elevator operation. Elevator health index evaluation plays a crucial role in the safe use of elevators, identifying potential safety hazards and providing managers with a reference to ensure safe elevator operation.

[0003] Artificial intelligence can be used to assess the health index of elevators. By monitoring the elevator's operating status in real time and collecting other relevant data, the elevator's condition can be accurately identified and analyzed, and a precise judgment can be made as to whether the elevator requires special attention, thus providing an accurate and objective health index evaluation. Furthermore, algorithmic prediction models can be used to predict elevator operating conditions and promptly report potential hazards to maintain elevator safety. Summary of the Invention

[0004] This invention provides an elevator health index evaluation system and method based on artificial intelligence to solve the problem of untimely elevator health index evaluation:

[0005] This invention provides an elevator health index evaluation method based on artificial intelligence, such as... Figure 1 As shown, the method includes:

[0006] S1: Determine the type of elevator, and determine the basic information of the elevator based on the type of elevator. The basic information of the elevator includes the elevator's installation location, installation time, maintenance cycle, and model.

[0007] S2: Determine the performance parameter data of the elevator model and the safe fluctuation range of the parameters of the elevator model under operating conditions based on the elevator model.

[0008] S3: Monitor elevator operating parameter data in real time through elevator control cabinet, establish elevator health index evaluation system, and input elevator operating parameter data, elevator basic information, and safe fluctuation range of elevator parameters under operating status into elevator health index evaluation system;

[0009] S4: Integrate the artificial intelligence management system into the elevator health index evaluation system to assess and determine the elevator's health index.

[0010] Furthermore, determining the elevator type involves identifying the elevator's basic information, including its installation location, installation time, maintenance cycle, and model.

[0011] S11: Classify the elevators according to their uses to determine the elevator types, including: passenger elevators, sightseeing elevators, freight elevators, and medical elevators.

[0012] S12: Determine the installation and usage scenarios of the elevator based on the type of elevator and the specific usage scenarios of each type of elevator. The installation and usage scenarios of the elevator include: residential communities, office buildings, hospitals and scenic spots.

[0013] S13: Determine the elevator installation location based on the elevator's installation and usage scenario and the building blueprints, and determine the elevator installation time, maintenance cycle, and model information based on the elevator's installation location.

[0014] Furthermore, determining the performance parameter data of the elevator model and the safe fluctuation range of the parameters of the elevator model under operating conditions includes:

[0015] S21: Query the performance parameter data of the elevator according to the different elevator models; the performance parameter data includes the elevator's rated load capacity, rated speed, and leveling accuracy.

[0016] S22: Classify the retrieved elevator performance parameter data according to the elevator's rated load capacity, rated speed, and leveling accuracy, and determine the performance parameters for each elevator model.

[0017] S23: Determine the safe fluctuation range of each elevator model under operating conditions by combining the performance parameters of each model with the elevator instruction manual.

[0018] Furthermore, the process of monitoring elevator operating parameter data in real time through the elevator control cabinet, establishing an elevator health index evaluation system, and inputting elevator operating parameter data, basic elevator information, and the safe fluctuation range of elevator parameters under operating conditions into the elevator health index evaluation system includes:

[0019] S31: The elevator obtains elevator operating parameter data through the elevator control cabinet and monitors the elevator operating parameters.

[0020] S32: Establish an elevator health index evaluation system based on the evaluation needs of elevator management personnel for elevator health index;

[0021] S33: Further improve the elevator health index evaluation system by inputting elevator operating parameter data, basic elevator information, and the safe fluctuation range of elevator parameters under operating conditions into the elevator health index evaluation system.

[0022] S34: Set up an API interface on the elevator health index evaluation system to facilitate subsequent access to data from the elevator health index evaluation system.

[0023] Furthermore, the process of integrating the artificial intelligence management system into the elevator health index evaluation system to assess and determine the elevator's health index includes:

[0024] S41: The artificial intelligence management system connects to the elevator health index evaluation system through the API interface and calls the data in the elevator health index evaluation system.

[0025] S42: The artificial intelligence management system evaluates the data in the elevator health index evaluation system to determine whether the elevator needs maintenance, generates maintenance suggestions, and transmits the maintenance suggestions to the maintenance personnel's terminal via the local area network.

[0026] S43: Maintenance personnel perform maintenance on elevator equipment based on maintenance suggestions fed back from the maintenance personnel terminal.

[0027] This invention provides an elevator health index evaluation system based on artificial intelligence, characterized in that the system includes:

[0028] Type Information Determination Module: Determines the type of elevator, and determines the basic information of the elevator based on the elevator type. The basic information of the elevator includes the elevator's installation location, installation time, maintenance cycle, and model.

[0029] Safety Floating Module: Determines the performance parameter data of the elevator model and the safe floating range of the parameters of the elevator model under operating conditions;

[0030] Real-time monitoring module: Monitors elevator operating parameter data in real time through elevator control cabinet, establishes elevator health index evaluation system, and inputs elevator operating parameter data, basic elevator information, and safe fluctuation range of elevator parameters under operating conditions into elevator health index evaluation system;

[0031] Index Evaluation Module: Integrates the artificial intelligence management system into the elevator health index evaluation system to assess and determine the elevator's health index.

[0032] Furthermore, the type information determination module includes:

[0033] Purpose Classification Module: Classifies the elevators according to their purpose to determine the type of elevator. The types of elevators include: passenger elevators, sightseeing elevators, freight elevators, and medical elevators.

[0034] Installation Location Module: Based on the elevator type and the specific usage scenarios of each elevator, the installation and usage locations of the elevators are determined. These locations include: residential communities, office buildings, hospitals, and scenic spots.

[0035] Location determination module: Determines the elevator's installation location based on the elevator's installation and usage scenario and the building blueprints, and determines the elevator's installation time, maintenance cycle, and model information based on the elevator's installation location.

[0036] Furthermore, the safety floating module includes:

[0037] Performance parameter query module: This module queries the performance parameter data of elevators based on their different models. The performance parameter data includes the elevator's rated load capacity, rated speed, and leveling accuracy.

[0038] The classification and discussion module categorizes the retrieved elevator performance parameter data based on the elevator's rated load capacity, rated speed, and leveling accuracy, determining the performance parameters for each elevator model.

[0039] Result determination module: Determine the safe fluctuation range of each elevator model under operating conditions by combining the performance parameters of each model with the elevator manual.

[0040] Furthermore, the real-time monitoring module includes:

[0041] Parameter acquisition module: The elevator acquires the elevator's operating parameter data through the elevator control cabinet and monitors the elevator's operating parameters;

[0042] Demand System Establishment Module: Establish an elevator health index evaluation system based on the evaluation requirements of elevator management personnel for the elevator health index;

[0043] System Improvement Module: Further improve the elevator health index evaluation system by inputting elevator operating parameter data, basic elevator information, and the safe fluctuation range of elevator parameters under operating conditions into the elevator health index evaluation system;

[0044] Interface setting module: Set up API interfaces on the elevator health index evaluation system to facilitate subsequent access to data from the elevator health index evaluation system.

[0045] Furthermore, the index evaluation module includes:

[0046] Data retrieval module: The artificial intelligence management system connects to the elevator health index evaluation system via API interface and retrieves data from the elevator health index evaluation system;

[0047] Maintenance suggestion generation module: The artificial intelligence management system evaluates the data in the elevator health index evaluation system to determine whether the elevator needs maintenance, generates maintenance suggestions, and transmits the maintenance suggestions to the maintenance personnel's terminal via the local area network;

[0048] Information feedback module: Maintenance personnel use maintenance suggestions fed back from the maintenance personnel terminal to maintain the elevator equipment.

[0049] The beneficial effects of this invention are as follows: This invention provides an elevator health index evaluation system and method based on artificial intelligence. By utilizing artificial intelligence technology, the assessment of elevator health index can be significantly accelerated, thereby effectively shortening fault diagnosis time, reducing maintenance costs, improving elevator efficiency and safety, and ensuring the normal operation of elevators. Furthermore, using artificial intelligence technology will also improve work efficiency, helping to ensure the safety and reliability of elevator operation. The artificial intelligence system can more effectively collect information about the elevator's internal and external environment, track accumulated fault information after the elevator has been put into use, and conduct small-scale inspections of the elevator's normal operating status. This will help to more accurately assess and predict the elevator's health status, thereby effectively preventing major accidents. In addition, the artificial intelligence system can also help maintenance teams more effectively manage elevator maintenance and repair work to ensure the stability and reliability of elevators. Therefore, using an artificial intelligence system to assess elevator health index will greatly improve elevator safety and reliability, thus providing passengers with a safer elevator riding experience. Attached Figure Description

[0050] Figure 1 This is a diagram illustrating an elevator health index evaluation method based on artificial intelligence as described in this invention.

[0051] Figure 2 This is a diagram of an elevator health index evaluation system based on artificial intelligence as described in this invention;

[0052] Figure 3 This is a block diagram of an elevator health index evaluation system based on artificial intelligence as described in this invention. Detailed Implementation

[0053] 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.

[0054] This invention provides an elevator health index evaluation system and method to solve the problems of high personnel burden and low evaluation accuracy in the elevator health index evaluation process.

[0055] This invention provides an embodiment, such as Figure 1 As shown, an elevator health index evaluation method for artificial intelligence is described, the method comprising:

[0056] S1: Determine the type of elevator, and determine the basic information of the elevator based on the type of elevator. The basic information of the elevator includes the elevator's installation location, installation time, maintenance cycle, and model.

[0057] S2: Determine the performance parameter data of the elevator model and the safe fluctuation range of the parameters of the elevator model under operating conditions based on the elevator model.

[0058] S3: Monitor elevator operating parameter data in real time through elevator control cabinet, establish elevator health index evaluation system, and input elevator operating parameter data, elevator basic information, and safe fluctuation range of elevator parameters under operating status into elevator health index evaluation system;

[0059] S4: Integrate the artificial intelligence management system into the elevator health index evaluation system to assess and determine the elevator's health index.

[0060] The working principle of the above technical solution is as follows: First, determine the type of elevator, and based on the elevator type, determine the elevator's installation location, installation time, maintenance cycle, and model, etc. Then, determine the performance parameters and safe fluctuation range of the elevator's parameters under operating conditions based on the elevator model. Next, monitor the elevator's operating parameters in real time through the elevator control cabinet, establish an elevator health index evaluation system, and input the elevator operating parameters, basic elevator information, and safe fluctuation range of the elevator's parameters under operating conditions into the elevator health index evaluation system. Finally, connect the artificial intelligence management system to the elevator health index evaluation system to assess and determine the elevator's health index.

[0061] The effect of the above technical solution is as follows: First, the type of elevator is determined. Based on the type of elevator, basic information such as the elevator's installation location, installation time, maintenance cycle, and model is determined. This is because different types of elevators have different health index standards, and determining the type of elevator can help to more accurately judge the elevator's health index.

[0062] Determining the performance parameters of an elevator model based on its specifications helps customers understand the elevator's operating environment and safety requirements. It also helps users determine the correct maintenance requirements. By parameterizing the elevator's safety performance, the safe fluctuation range of its parameters under operating conditions can be effectively defined, preventing unsafe operations beyond the safe range, avoiding potential accidents, ensuring reliable elevator use, and improving efficiency. Real-time monitoring of elevator operating parameters through the elevator control cabinet allows for the establishment of an elevator health index evaluation system. Inputting elevator operating parameters, basic elevator information, and the safe fluctuation range of parameters under operating conditions into this system effectively improves the safety and reliability of elevator operation. It can detect potential anomalies during operation in advance, enabling timely intervention to prevent major hazards. Furthermore, it helps ensure that the elevator's operating status always meets safety requirements, providing users with a safer and more comfortable elevator travel experience. Integrating an AI management system into an elevator health index evaluation system can assess and determine the elevator's health index, making elevator operation safer and more efficient. It can effectively detect various malfunctions and provide early warnings. Based on alarm information, corresponding measures can be taken to resolve elevator malfunctions in a timely manner, reduce customer complaint rates, minimize customer losses, and improve the overall safety level of the building.

[0063] This invention provides an embodiment in which the type of elevator is determined, and basic information about the elevator is determined based on the elevator type. This basic information includes the elevator's installation location, installation time, maintenance cycle, and model number.

[0064] S11: Classify the elevators according to their uses to determine the elevator types, including: passenger elevators, sightseeing elevators, freight elevators, and medical elevators.

[0065] S12: Determine the installation and usage scenarios of the elevator based on the type of elevator and the specific usage scenarios of each type of elevator. The installation and usage scenarios of the elevator include: residential communities, office buildings, hospitals and scenic spots.

[0066] S13: Determine the elevator installation location based on the elevator's installation and usage scenario and the building blueprints, and determine the elevator installation time, maintenance cycle, and model information based on the elevator's installation location.

[0067] The working principle of the above technical solution is as follows: First, the elevators are classified according to their uses to determine whether they are passenger elevators, sightseeing elevators, freight elevators, or medical elevators. Based on the elevator type and the specific usage scenarios of each type, the installation and usage locations of the elevators are determined. These locations include residential communities, office buildings, hospitals, and scenic spots. The installation location of the elevator is determined based on the installation and usage location and the building blueprints. The installation time, maintenance cycle, and model information of the elevator are then determined based on the installation location. Specifically, residential communities mainly install passenger elevators; office buildings generally install various types of elevators, including passenger elevators and freight elevators; hospitals mainly install passenger elevators and medical elevators; and scenic spots generally install sightseeing elevators.

[0068] The effects of the above technical solution are as follows: Classifying elevators according to their intended use and determining their types allows for more targeted health index evaluation schemes for different types of elevators, enabling effective equipment protection measures and helping customers manage elevators more effectively. Determining the elevator's installation and usage scenarios based on its type and specific usage context ensures that installation and use meet the planning requirements of the scenario, avoiding unsuitable usage situations for users. It also avoids adding obstacles to the elevator's health index evaluation. Determining the elevator's installation location based on its installation and usage context and architectural blueprints, along with the installation time, maintenance cycle, and model information, allows users to gain a preliminary understanding of the elevator's health index, providing greater peace of mind and improving passenger safety and user experience.

[0069] This invention provides an embodiment in which determining the performance parameter data of the elevator model and the safe fluctuation range of the parameters of the elevator model under operating conditions includes:

[0070] S21: Query the performance parameter data of the elevator according to the different elevator models; the performance parameter data includes the elevator's rated load capacity, rated speed, and leveling accuracy.

[0071] S22: Classify the retrieved elevator performance parameter data according to the elevator's rated load capacity, rated speed, and leveling accuracy, and determine the performance parameters for each elevator model.

[0072] S23: Determine the safe fluctuation range of each elevator model under operating conditions by combining the performance parameters of each model with the elevator instruction manual.

[0073] The relationship between the elevator's effective load (F), effective unload rate (K), rated load capacity (W), rated speed (S), and leveling accuracy (D) is as follows: , where 1.41 represents the drive power per unit weight.

[0074] The working principle of the above technical solution is as follows: First, according to the different elevator models, query the elevator performance parameter data from the elevator manufacturer's official website or related websites; the performance parameter data includes the elevator's rated load capacity, rated speed, and leveling accuracy; classify the retrieved elevator performance parameter data according to the elevator's rated load capacity, rated speed, and leveling accuracy to determine the performance parameters for each elevator model; and determine the safe fluctuation range of this elevator model under operating conditions by combining the performance parameters of each elevator model with the elevator manual.

[0075] The effects of the above technical solution are as follows: Querying elevator performance parameter data based on different elevator models helps users better assess the elevator's health index and more accurately determine its condition, allowing for faster and more timely handling of potential problems and ensuring user safety. The performance parameter data includes the elevator's rated load capacity, rated speed, and leveling accuracy. Analyzing the retrieved performance parameter data based on these parameters ensures that different elevators meet the usage requirements of different scenarios and achieve optimal performance and safety, thereby improving elevator efficiency. Determining the safe operating range of each elevator model by combining its performance parameters with the elevator manual effectively reduces the probability of accidents during operation, enabling users to safely and efficiently transport passengers, reducing losses due to malfunctions, decreasing elevator maintenance frequency, extending elevator lifespan, and effectively lowering operating costs.

[0076] This invention provides an embodiment in which the elevator health index evaluation system is established by real-time monitoring of elevator operating parameter data through an elevator control cabinet, and the elevator operating parameter data, basic elevator information, and the safe fluctuation range of elevator parameters under operating conditions are input into the elevator health index evaluation system, including:

[0077] S31: The elevator obtains elevator operating parameter data through the elevator control cabinet and monitors the elevator operating parameters.

[0078] S32: Establish an elevator health index evaluation system based on the evaluation needs of elevator management personnel for elevator health index;

[0079] S33: Further improve the elevator health index evaluation system by inputting elevator operating parameter data, basic elevator information, and the safe fluctuation range of elevator parameters under operating conditions into the elevator health index evaluation system.

[0080] S34: Set up an API interface on the elevator health index evaluation system to facilitate subsequent access to data from the elevator health index evaluation system.

[0081] The working principle of the above technical solution is as follows: the elevator obtains elevator operating parameter data through the elevator control cabinet and monitors the elevator operating parameters; an elevator health index evaluation system is established according to the evaluation needs of elevator management personnel for the elevator health index; the elevator health index evaluation system is further improved by inputting elevator operating parameter data, basic elevator information, and the safe fluctuation range of elevator parameters under operating conditions into the elevator health index evaluation system; an API interface is set on the elevator health index evaluation system to facilitate subsequent access to data from the elevator health index evaluation system.

[0082] The effects of the above technical solution are as follows: The elevator control cabinet acquires and monitors the elevator's operating parameters, allowing for observation of its operational status and timely implementation of measures to improve safety. It can also detect malfunctions for prompt handling, record elevator status over time, and analyze data to improve operational performance. Furthermore, establishing an elevator health index evaluation system based on elevator management personnel's needs effectively manages and monitors elevator operation, accurately determines its condition, promptly identifies malfunctions, and facilitates timely repair and maintenance. Stricter mandatory standards are established based on elevator usage time, travel distance, space, and other parameters to enhance safety and reliability. Further improvements to the elevator health index evaluation system, such as inputting operating parameter data, basic elevator information, and the safe fluctuation range of parameters during operation, can effectively improve elevator safety and performance, reduce maintenance frequency, extend elevator lifespan, and provide users with a more convenient and safer elevator experience. An API interface is provided to the elevator health index evaluation system for easy access to its data.

[0083] This invention provides an embodiment in which the artificial intelligence management system is integrated into the elevator health index evaluation system to assess and determine the elevator's health index, including:

[0084] S41: The artificial intelligence management system connects to the elevator health index evaluation system through the API interface and calls the data in the elevator health index evaluation system.

[0085] S42: The artificial intelligence management system evaluates the data in the elevator health index evaluation system to determine whether the elevator needs maintenance, generates maintenance suggestions, and transmits the maintenance suggestions to the maintenance personnel's terminal via the local area network.

[0086] S43: Maintenance personnel perform maintenance on elevator equipment based on maintenance suggestions fed back from the maintenance personnel terminal.

[0087] The relationship between the elevator's health index (H), its operating parameters (Y), the safe fluctuation range of the elevator's parameters during operation (J), and its initial parameter values ​​(C) is as follows: H The elevator's health index (H) is negative, indicating a high level of operational health; positive, indicating a low level of operational health; and zero, indicating the optimal level of operational health. The initial parameters of the elevator include its load capacity and maximum operating speed.

[0088] The working principle of the above technical solution is as follows: the artificial intelligence management system accesses the elevator health index evaluation system through the API interface and calls the data in the elevator health index evaluation system; the artificial intelligence management system evaluates the data in the elevator health index evaluation system to determine whether the elevator needs maintenance, generates maintenance suggestions, and transmits the maintenance suggestions to the maintenance personnel terminal through the local area network; the maintenance personnel perform maintenance on the elevator equipment based on the maintenance suggestions fed back from the maintenance personnel terminal.

[0089] The effects of the above technical solution are as follows: The artificial intelligence management system connects to the elevator health index evaluation system via API interface, calls data from the elevator health index evaluation system, can effectively monitor the elevator's operating status, and can provide more accurate maintenance suggestions based on the health index data, thereby more effectively ensuring elevator safety; The artificial intelligence management system analyzes the elevator operating parameters, the safe fluctuation range of parameters under elevator operating status, and basic elevator information from the elevator health index evaluation system to obtain elevator operating health index data. By collecting and analyzing data, the health status of the elevator can be tracked, allowing maintenance personnel to more accurately understand the elevator's condition, promptly identify and resolve problems and potential safety hazards, and also improve its service life and operational quality; The artificial intelligence management system evaluates the data from the elevator health index evaluation system to determine whether the elevator needs maintenance, generates maintenance suggestions, and transmits the maintenance suggestions to the maintenance personnel's terminal via local area network; Maintenance personnel use the maintenance suggestions fed back from the maintenance personnel's terminal to maintain the elevator equipment, which can effectively improve the elevator's safety factor, improve maintenance efficiency, reduce maintenance costs, extend the elevator's service life, and reduce the occurrence of accidental injuries.

[0090] This invention provides an embodiment, such as Figure 2As shown, an elevator health index evaluation system based on artificial intelligence is characterized in that the system includes:

[0091] Type Information Determination Module: Determines the type of elevator, and determines the basic information of the elevator based on the elevator type. The basic information of the elevator includes the elevator's installation location, installation time, maintenance cycle, and model.

[0092] Safety Floating Module: Determines the performance parameter data of the elevator model and the safe floating range of the parameters of the elevator model under operating conditions;

[0093] Real-time monitoring module: Monitors elevator operating parameter data in real time through elevator control cabinet, establishes elevator health index evaluation system, and inputs elevator operating parameter data, basic elevator information, and safe fluctuation range of elevator parameters under operating conditions into elevator health index evaluation system;

[0094] Index Evaluation Module: Integrates the artificial intelligence management system into the elevator health index evaluation system to assess and determine the elevator's health index.

[0095] The working principle of the above technical solution is as follows: First, determine the type of elevator, and based on the elevator type, determine the elevator's installation location, installation time, maintenance cycle, and model, etc. Then, determine the performance parameters and safe fluctuation range of the elevator's parameters under operating conditions based on the elevator model. Next, monitor the elevator's operating parameters in real time through the elevator control cabinet, establish an elevator health index evaluation system, and input the elevator operating parameters, basic elevator information, and safe fluctuation range of the elevator's parameters under operating conditions into the elevator health index evaluation system. Finally, connect the artificial intelligence management system to the elevator health index evaluation system to assess and determine the elevator's health index.

[0096] The effect of the above technical solution is as follows: First, the type of elevator is determined. Based on the type of elevator, basic information such as the elevator's installation location, installation time, maintenance cycle, and model is determined. This is because different types of elevators have different health index standards, and determining the type of elevator can help to more accurately judge the elevator's health index.

[0097] Determining the performance parameters of an elevator model based on its specifications helps customers understand the elevator's operating environment and safety requirements. It also helps users determine the correct maintenance requirements. By parameterizing the elevator's safety performance, the safe fluctuation range of its parameters under operating conditions can be effectively defined, preventing unsafe operations beyond the safe range, avoiding potential accidents, ensuring reliable elevator use, and improving efficiency. Real-time monitoring of elevator operating parameters through the elevator control cabinet allows for the establishment of an elevator health index evaluation system. Inputting elevator operating parameters, basic elevator information, and the safe fluctuation range of parameters under operating conditions into this system effectively improves the safety and reliability of elevator operation. It can detect potential anomalies during operation in advance, enabling timely intervention to prevent major hazards. Furthermore, it helps ensure that the elevator's operating status always meets safety requirements, providing users with a safer and more comfortable elevator travel experience. Integrating an AI management system into an elevator health index evaluation system can assess and determine the elevator's health index, making elevator operation safer and more efficient. It can effectively detect various malfunctions and provide early warnings. Based on alarm information, corresponding measures can be taken to resolve elevator malfunctions in a timely manner, reduce customer complaint rates, minimize customer losses, and improve the overall safety level of the building.

[0098] This invention provides an embodiment in which the type information determination module includes:

[0099] Purpose Classification Module: Classifies the elevators according to their purpose to determine the type of elevator. The types of elevators include: passenger elevators, sightseeing elevators, freight elevators, and medical elevators.

[0100] Installation Location Module: Based on the elevator type and the specific usage scenarios of each elevator, the installation and usage locations of the elevators are determined. These locations include: residential communities, office buildings, hospitals, and scenic spots.

[0101] Location determination module: Determines the elevator's installation location based on the elevator's installation and usage scenario and the building blueprints, and determines the elevator's installation time, maintenance cycle, and model information based on the elevator's installation location.

[0102] The working principle of the above technical solution is as follows: First, the elevators are classified according to their uses to determine whether they are passenger elevators, sightseeing elevators, freight elevators, or medical elevators. Based on the elevator type and the specific usage scenarios of each type, the installation and usage locations of the elevators are determined. These locations include residential communities, office buildings, hospitals, and scenic spots. The installation location of the elevator is determined based on the installation and usage location and the building blueprints. The installation time, maintenance cycle, and model information of the elevator are then determined based on the installation location. Specifically, residential communities mainly install passenger elevators; office buildings generally install various types of elevators, including passenger elevators and freight elevators; hospitals mainly install passenger elevators and medical elevators; and scenic spots generally install sightseeing elevators.

[0103] The effects of the above technical solution are as follows: Classifying elevators according to their intended use and determining their types allows for more targeted health index evaluation schemes for different types of elevators, enabling effective equipment protection measures and helping customers manage elevators more effectively. Determining the elevator's installation and usage scenarios based on its type and specific usage context ensures that installation and use meet the planning requirements of the scenario, avoiding unsuitable usage situations for users. It also avoids adding obstacles to the elevator's health index evaluation. Determining the elevator's installation location based on its installation and usage context and architectural blueprints, along with the installation time, maintenance cycle, and model information, allows users to gain a preliminary understanding of the elevator's health index, providing greater peace of mind and improving passenger safety and user experience.

[0104] This invention provides an embodiment in which the safe floating module includes:

[0105] Performance parameter query module: This module queries the performance parameter data of elevators based on their different models. The performance parameter data includes the elevator's rated load capacity, rated speed, and leveling accuracy.

[0106] The classification and discussion module categorizes the retrieved elevator performance parameter data based on the elevator's rated load capacity, rated speed, and leveling accuracy, determining the performance parameters for each elevator model.

[0107] Result determination module: Determine the safe fluctuation range of each elevator model under operating conditions by combining the performance parameters of each model with the elevator manual.

[0108] The relationship between the elevator's effective load (F), effective unload rate (K), rated load capacity (W), rated speed (S), and leveling accuracy (D) is as follows: , where 1.41 represents the drive power per unit weight.

[0109] The working principle of the above technical solution is as follows: First, according to the different elevator models, query the elevator performance parameter data from the elevator manufacturer's official website or related websites; the performance parameter data includes the elevator's rated load capacity, rated speed, and leveling accuracy; classify the retrieved elevator performance parameter data according to the elevator's rated load capacity, rated speed, and leveling accuracy to determine the performance parameters for each elevator model; and determine the safe fluctuation range of this elevator model under operating conditions by combining the performance parameters of each elevator model with the elevator manual.

[0110] The effects of the above technical solution are as follows: Querying elevator performance parameter data based on different elevator models helps users better assess the elevator's health index and more accurately determine its condition, allowing for faster and more timely handling of potential problems and ensuring user safety. The performance parameter data includes the elevator's rated load capacity, rated speed, and leveling accuracy. Analyzing the retrieved performance parameter data based on these parameters ensures that different elevators meet the usage requirements of different scenarios and achieve optimal performance and safety, thereby improving elevator efficiency. Determining the safe operating range of each elevator model by combining its performance parameters with the elevator manual effectively reduces the probability of accidents during operation, enabling users to safely and efficiently transport passengers, reducing losses due to malfunctions, decreasing elevator maintenance frequency, extending elevator lifespan, and effectively lowering operating costs.

[0111] This invention provides an embodiment in which the real-time monitoring module includes:

[0112] Parameter acquisition module: The elevator acquires the elevator's operating parameter data through the elevator control cabinet and monitors the elevator's operating parameters;

[0113] Demand System Establishment Module: Establish an elevator health index evaluation system based on the evaluation requirements of elevator management personnel for the elevator health index;

[0114] System Improvement Module: Further improve the elevator health index evaluation system by inputting elevator operating parameter data, basic elevator information, and the safe fluctuation range of elevator parameters under operating conditions into the elevator health index evaluation system;

[0115] Interface setting module: Set up API interfaces on the elevator health index evaluation system to facilitate subsequent access to data from the elevator health index evaluation system.

[0116] The working principle of the above technical solution is as follows: the elevator obtains elevator operating parameter data through the elevator control cabinet and monitors the elevator operating parameters; an elevator health index evaluation system is established according to the evaluation needs of elevator management personnel for the elevator health index; the elevator health index evaluation system is further improved by inputting elevator operating parameter data, basic elevator information, and the safe fluctuation range of elevator parameters under operating conditions into the elevator health index evaluation system; an API interface is set on the elevator health index evaluation system to facilitate subsequent access to data from the elevator health index evaluation system.

[0117] The effects of the above technical solution are as follows: The elevator control cabinet acquires and monitors the elevator's operating parameters, allowing for observation of its operational status and timely implementation of measures to improve safety. It can also detect malfunctions for prompt handling, record elevator status over time, and analyze data to improve operational performance. Furthermore, establishing an elevator health index evaluation system based on elevator management personnel's needs effectively manages and monitors elevator operation, accurately determines its condition, promptly identifies malfunctions, and facilitates timely repair and maintenance. Stricter mandatory standards are established based on elevator usage time, travel distance, space, and other parameters to enhance safety and reliability. Further improvements to the elevator health index evaluation system, such as inputting operating parameter data, basic elevator information, and the safe fluctuation range of parameters during operation, can effectively improve elevator safety and performance, reduce maintenance frequency, extend elevator lifespan, and provide users with a more convenient and safer elevator experience. An API interface is provided to the elevator health index evaluation system for easy access to its data.

[0118] This invention provides an embodiment in which the index evaluation module includes:

[0119] Data retrieval module: The artificial intelligence management system connects to the elevator health index evaluation system via API interface and retrieves data from the elevator health index evaluation system;

[0120] Maintenance suggestion generation module: The artificial intelligence management system evaluates the data in the elevator health index evaluation system to determine whether the elevator needs maintenance, generates maintenance suggestions, and transmits the maintenance suggestions to the maintenance personnel's terminal via the local area network;

[0121] Information feedback module: Maintenance personnel use maintenance suggestions fed back from the maintenance personnel terminal to maintain the elevator equipment.

[0122] The relationship between the elevator's health index (H), its operating parameters (Y), the safe fluctuation range of the elevator's parameters during operation (J), and its initial parameter values ​​(C) is as follows: H The elevator's health index (H) is negative, indicating a high level of operational health; positive, indicating a low level of operational health; and zero, indicating the optimal level of operational health. The initial parameters of the elevator include its load capacity and maximum operating speed.

[0123] The working principle of the above technical solution is as follows: the artificial intelligence management system accesses the elevator health index evaluation system through the API interface and calls the data in the elevator health index evaluation system; the artificial intelligence management system evaluates the data in the elevator health index evaluation system to determine whether the elevator needs maintenance, generates maintenance suggestions, and transmits the maintenance suggestions to the maintenance personnel terminal through the local area network; the maintenance personnel perform maintenance on the elevator equipment based on the maintenance suggestions fed back from the maintenance personnel terminal.

[0124] The effects of the above technical solution are as follows: The artificial intelligence management system connects to the elevator health index evaluation system via API interface, calls data from the elevator health index evaluation system, can effectively monitor the elevator's operating status, and can provide more accurate maintenance suggestions based on the health index data, thereby more effectively ensuring elevator safety; The artificial intelligence management system analyzes the elevator operating parameters, the safe fluctuation range of parameters under elevator operating status, and basic elevator information from the elevator health index evaluation system to obtain elevator operating health index data. By collecting and analyzing data, the health status of the elevator can be tracked, allowing maintenance personnel to more accurately understand the elevator's condition, promptly identify and resolve problems and potential safety hazards, and also improve its service life and operational quality; The artificial intelligence management system evaluates the data from the elevator health index evaluation system to determine whether the elevator needs maintenance, generates maintenance suggestions, and transmits the maintenance suggestions to the maintenance personnel's terminal via local area network; Maintenance personnel use the maintenance suggestions fed back from the maintenance personnel's terminal to maintain the elevator equipment, which can effectively improve the elevator's safety factor, improve maintenance efficiency, reduce maintenance costs, extend the elevator's service life, and reduce the occurrence of accidental injuries.

[0125] 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 health index evaluation method based on artificial intelligence, characterized in that, The method includes: S1: Determine the type of elevator, and determine the basic information of the elevator based on the type of elevator. The basic information of the elevator includes the elevator's installation location, installation time, maintenance cycle, and model. S2: Determine the performance parameter data of the elevator model and the safe fluctuation range of the parameters of the elevator model under operating conditions based on the elevator model. S3: Monitor elevator operating parameter data in real time through elevator control cabinet, establish elevator health index evaluation system, and input elevator operating parameter data, elevator basic information, and safe fluctuation range of elevator parameters under operating status into elevator health index evaluation system; S4: Integrate the artificial intelligence management system into the elevator health index evaluation system to assess and determine the elevator's health index; The S2 includes: S21: Query the performance parameter data of the elevator according to the different elevator models; the performance parameter data includes the elevator's rated load capacity, rated speed, and leveling accuracy. S22: Classify the retrieved elevator performance parameter data according to the elevator's rated load capacity, rated speed, and leveling accuracy, and determine the performance parameters for each elevator model. S23: Determine the safe fluctuation range of each elevator model under operating conditions by combining the performance parameters of each elevator model with the elevator instruction manual; The relationships between the elevator's effective load F, effective unload rate K, rated load capacity W, rated speed S, and leveling accuracy D are as follows: , where 1.41 represents the drive power per unit weight.

2. The elevator health index evaluation method based on artificial intelligence according to claim 1, characterized in that, The process of determining the elevator type involves identifying the elevator's basic information, including its installation location, installation date, maintenance cycle, and model. S11: Classify the elevators according to their uses to determine the elevator types, including: passenger elevators, sightseeing elevators, freight elevators, and medical elevators. S12: Determine the installation and usage scenarios of the elevator based on the type of elevator and the specific usage scenarios of each type of elevator. The installation and usage scenarios of the elevator include: residential communities, office buildings, hospitals and scenic spots. S13: Determine the elevator installation location based on the elevator's installation and usage scenario and the building blueprints, and determine the elevator installation time, maintenance cycle, and model information based on the elevator's installation location.

3. The elevator health index evaluation method based on artificial intelligence according to claim 1, characterized in that, The process involves real-time monitoring of elevator operating parameter data via the elevator control cabinet, establishing an elevator health index evaluation system, and inputting elevator operating parameter data, basic elevator information, and the safe fluctuation range of elevator parameters during operation into the elevator health index evaluation system, including: S31: The elevator obtains elevator operating parameter data through the elevator control cabinet and monitors the elevator operating parameters. S32: Establish an elevator health index evaluation system based on the evaluation needs of elevator management personnel for elevator health index; S33: Input elevator operating parameter data, basic elevator information, and the safe fluctuation range of elevator parameters under operating conditions into the elevator health index evaluation system; S34: Set up an API interface on the elevator health index evaluation system to facilitate subsequent access to data from the elevator health index evaluation system.

4. The method for evaluating elevator health index based on artificial intelligence according to claim 1, characterized in that, The process of integrating the artificial intelligence management system into the elevator health index evaluation system to assess and determine the elevator's health index includes: S41: The artificial intelligence management system connects to the elevator health index evaluation system through the API interface and calls the data in the elevator health index evaluation system. S42: The artificial intelligence management system evaluates the data in the elevator health index evaluation system to determine whether the elevator needs maintenance, generates maintenance suggestions, and transmits the maintenance suggestions to the maintenance personnel's terminal via the local area network. S43: Maintenance personnel perform maintenance on elevator equipment based on maintenance suggestions fed back from the maintenance personnel terminal.

5. An elevator health index evaluation system based on artificial intelligence, characterized in that, The system includes: Type Information Determination Module: Determines the type of elevator, and determines the basic information of the elevator based on the elevator type. The basic information of the elevator includes the elevator's installation location, installation time, maintenance cycle, and model. Safety Floating Module: Determines the performance parameter data of the elevator model and the safe floating range of the parameters of the elevator model under operating conditions; Real-time monitoring module: Monitors elevator operating parameter data in real time through elevator control cabinet, establishes elevator health index evaluation system, and inputs elevator operating parameter data, basic elevator information, and safe fluctuation range of elevator parameters under operating conditions into elevator health index evaluation system; Index Evaluation Module: Integrates the artificial intelligence management system into the elevator health index evaluation system to assess and determine the elevator's health index; The safe floating module includes: Performance parameter query module: This module queries the performance parameter data of elevators based on their different models. The performance parameter data includes the elevator's rated load capacity, rated speed, and leveling accuracy. The classification and discussion module categorizes the retrieved elevator performance parameter data according to the elevator's rated load capacity, rated speed, and leveling accuracy, and determines the performance parameters for each elevator model. Result determination module: Determines the safe fluctuation range of each elevator model under operating conditions by combining the performance parameters of each elevator model with the elevator manual; The relationships between the elevator's effective load F, effective unload rate K, rated load capacity W, rated speed S, and leveling accuracy D are as follows: , where 1.41 represents the drive power per unit weight.

6. The elevator health index evaluation system based on artificial intelligence according to claim 5, characterized in that, The type information determination module includes: Purpose Classification Module: Classifies the elevators according to their purpose to determine the type of elevator. The types of elevators include: passenger elevators, sightseeing elevators, freight elevators, and medical elevators. Installation Location Module: Based on the elevator type and the specific usage scenarios of each elevator, the installation and usage locations of the elevators are determined. These locations include: residential communities, office buildings, hospitals, and scenic spots. Location determination module: Determines the elevator's installation location based on the elevator's installation and usage scenario and the building blueprints, and determines the elevator's installation time, maintenance cycle, and model information based on the elevator's installation location.

7. The elevator health index evaluation system based on artificial intelligence according to claim 5, characterized in that, The real-time monitoring module includes: Parameter acquisition module: The elevator acquires the elevator's operating parameter data through the elevator control cabinet and monitors the elevator's operating parameters; Demand System Establishment Module: Establish an elevator health index evaluation system based on the evaluation requirements of elevator management personnel for the elevator health index; System Improvement Module: Further improve the elevator health index evaluation system by inputting elevator operating parameter data, basic elevator information, and the safe fluctuation range of elevator parameters under operating conditions into the elevator health index evaluation system; Interface setting module: Set up API interfaces on the elevator health index evaluation system to facilitate subsequent access to data from the elevator health index evaluation system.

8. The elevator health index evaluation system based on artificial intelligence according to claim 5, characterized in that, The index evaluation module includes: Data retrieval module: The artificial intelligence management system connects to the elevator health index evaluation system via API interface and retrieves data from the elevator health index evaluation system; Maintenance suggestion generation module: The artificial intelligence management system evaluates the data in the elevator health index evaluation system to determine whether the elevator needs maintenance, generates maintenance suggestions, and transmits the maintenance suggestions to the maintenance personnel's terminal via the local area network; Information feedback module: Maintenance personnel use maintenance suggestions fed back from the maintenance personnel terminal to maintain the elevator equipment.

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