Elevator maintenance device and method

Abstract

The invention discloses an elevator maintenance device and method, and belongs to the technical field of elevator maintenance, the elevator maintenance device comprises a data acquisition and processing module, a data processing module and a data processing module, the data acquisition and processing module comprises a sensor unit and a data preprocessing unit; the intelligent analysis module comprises an artificial intelligence algorithm unit and a model training and management unit; and a decision and control module. According to the system, the surrounding environment and the running state of an elevator are monitored in real time through a sensor of the data collection module, potential risks are rapidly recognized, early warning is given out, an efficient artificial intelligence algorithm is matched, data processing is more rapid and accurate, the intelligent analysis module rapidly processes sensor data, and the decision making and control module can rapidly take actions; if the alarm is started or the elevator is locked, the emergency processing speed is greatly increased. According to the mechanism, the safety distance can be effectively controlled, the operation safety of the elevator is guaranteed, when people approach the safety limit of the elevator door, the sensor triggers warning immediately, and a firm safety defense line is built for maintenance personnel and passengers.

Description

Technical Field

[0001] The present invention belongs to the technical field of elevator maintenance, and in particular relates to an elevator maintenance device and method. Background Art

[0002] Traditional safety measures lack real-time monitoring of the elevator's surroundings and cannot issue timely warnings when someone approaches the elevator. When an elevator breaks down, even if maintenance personnel are notified, it takes time for them to arrive at the scene. During this period, safety hazards around the elevator cannot be dealt with in a timely manner. Existing technologies do not have effective means to ensure that non-maintenance personnel can maintain a sufficient safe distance during elevator maintenance. Maintenance personnel may not be able to obtain full information about the elevator's surroundings before entering the shaft, which increases safety risks. In addition, some existing safety devices may only be applicable to specific models or brands of elevators and cannot be widely applied to all elevators.

[0003] Based on this, the present invention designs an elevator maintenance device and method to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to solve the problem that traditional safety measures lack real-time monitoring of the environment around the elevator and cannot issue a timely warning when someone approaches the elevator. When an elevator breaks down, even if the maintenance personnel are notified, it takes time for them to arrive at the scene. During this period, the potential safety hazards around the elevator cannot be dealt with in time. In addition, the existing technology has no effective means to ensure that non-maintenance personnel can maintain a sufficient safety distance during elevator maintenance, and the maintenance personnel may not be able to obtain all the information about the environment around the elevator before entering the shaft, which increases the safety risk. In addition, some existing safety devices may only be applicable to elevators of specific models or brands and cannot be widely applicable to all elevators. Therefore, an elevator maintenance device and method are proposed.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] An elevator maintenance device, comprising: a data acquisition and processing module, which includes a sensor unit and a data preprocessing unit; an intelligent analysis module, which includes an artificial intelligence algorithm unit and a model training and management unit; a decision and control module, which includes an autonomous decision unit and a predictive maintenance unit; an alarm and communication module, which includes an alarm device unit and a communication interface unit; a redundant system module, which includes a key component backup unit and a power management unit; a maintenance personnel interaction module, which includes a maintenance terminal unit and a user interface unit; a system monitoring and maintenance module, which includes a fault monitoring unit and a system maintenance unit;

[0007] The sensor unit is connected to the data preprocessing unit by wired or wireless means. The data collected by the sensor is transmitted to the data preprocessing unit through serial communication, network communication or a dedicated interface. The data preprocessing unit sends the processed data to the artificial intelligence algorithm unit. The algorithm unit is connected to the model training and management unit through an internal bus or network to train and update the model. The output results of the intelligent analysis module are transmitted to the autonomous decision-making unit through a data interface. The autonomous decision-making unit generates control commands according to the preset logic and algorithm, and sends them to the predictive maintenance unit and other actuators through the control bus. The alarm signal generated by the decision and control module is sent to the alarm device unit through the internal network. The communication interface unit is connected to the elevator control terminal, the maintenance personnel terminal and other system components through the network to realize real-time information exchange. The key component backup unit is connected in parallel with the main system component through a redundant interface. Once a main system failure is detected, it will immediately switch to the backup component. The power management unit is connected to all system components through the power line to provide a stable power supply. The maintenance terminal unit is connected to the communication interface unit through a wireless network to receive elevator status information and alarm signals. The user interface unit is connected to the maintenance terminal unit through the network or direct physical connection. The fault monitoring unit is connected to all other modules of the system through the network to monitor their operating status in real time. The system maintenance unit is connected to each module through the maintenance interface for regular inspection and maintenance.

[0008] As a further description of the above technical solution:

[0009] The sensor unit in the data acquisition and processing module includes an infrared sensor, an ultrasonic sensor, a camera, etc., which is used to collect data on the surrounding environment and operating status of the elevator; and the data preprocessing unit performs preliminary processing on the data collected by the sensor, such as denoising and normalization, to prepare for subsequent analysis.

[0010] As a further description of the above technical solution:

[0011] The artificial intelligence algorithm unit in the intelligent analysis module includes supervised learning, unsupervised learning or deep learning algorithms;

[0012] Build a deep learning model using convolutional neural networks to learn patterns from preprocessed data for fault prediction and classification;

[0013] The model training and management unit is responsible for the training, verification, testing and updating of algorithm models to ensure the accuracy and timeliness of the models.

[0014] As a further description of the above technical solution:

[0015] The autonomous decision-making unit in the decision and control module is based on the output of the intelligent analysis module, and the system can autonomously make decisions such as alarming and locking the elevator;

[0016] The predictive maintenance unit can analyze elevator operation data, predict potential failures and maintenance needs, and generate maintenance plans.

[0017] As a further description of the above technical solution:

[0018] The alarm device unit in the alarm and communication module includes a sound alarm and a light alarm device, which is used to sound an alarm when an abnormal situation is detected;

[0019] The communication interface unit communicates with the elevator control terminal, maintenance personnel terminal and other system components to transmit alarm signals and elevator status information.

[0020] As a further description of the above technical solution:

[0021] The key component backup unit in the redundant system module provides backup for key components such as the elevator control terminal, sensor unit, and alarm device; and the power management unit includes a main power supply and a backup power supply to ensure that the system can still work normally when a power failure occurs.

[0022] As a further description of the above technical solution:

[0023] The maintenance terminal unit in the maintenance personnel interaction module includes a terminal device held by the maintenance personnel, which is used to receive elevator status information, alarm signals and safety prompts; and the user interface unit can provide an intuitive operation interface, allowing the maintenance personnel to easily interact with the system.

[0024] As a further description of the above technical solution:

[0025] The fault monitoring unit in the system monitoring and maintenance module can monitor the working status of each component of the system in real time and respond promptly when a fault is found; while the system maintenance unit is responsible for regular testing, maintenance and updating of the system to ensure long-term stable operation of the system.

[0026] An elevator maintenance method comprises the following steps:

[0027] S1, data acquisition and processing module collects elevator operation data and environmental data;

[0028] S2, the intelligent analysis module processes and analyzes the data to identify the elevator status;

[0029] S3, the decision and control module makes corresponding decisions based on the analysis results;

[0030] S4, the alarm and communication module issues an alarm when an abnormality is detected and communicates with the maintenance personnel terminal;

[0031] S5, redundant system module takes over when the main system fails to ensure system continuity;

[0032] S6, the maintenance personnel interaction module allows maintenance personnel to receive information and perform maintenance tasks;

[0033] S7, system monitoring and maintenance module ensures the normal operation of each system component and performs regular maintenance.

[0034] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0035] 1. In the present invention, the sensors of the data acquisition module monitor the surrounding environment and operating status of the elevator in real time, quickly identify potential risks and issue warnings, and use efficient artificial intelligence algorithms to make data processing faster and more accurate. The intelligent analysis module quickly processes sensor data, allowing the decision-making and control modules to take quick actions, such as starting an alarm or locking the elevator, greatly improving the speed of emergency response. This mechanism can effectively control the safety distance and ensure the safety of elevator operation. When a person approaches the safety limit of the elevator door, the sensor immediately triggers a warning, building a solid safety line for maintenance personnel and passengers;

[0036] 2. In the present invention, the communication interface unit of the alarm and communication module ensures the instant transmission of information and the real-time interaction between the maintenance personnel and the elevator system. The terminal unit and the user interface unit of the maintenance personnel interaction module provide a clear and intuitive operation platform, allowing the maintenance personnel to fully grasp the dynamic information of the elevator surrounding environment. The careful design of the redundant system module provides reliable backup support for key components, which not only improves the stability of the system, but also enhances its compatibility, so that the system can flexibly adapt to various models and brands of elevators, thereby broadening its application scope. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A schematic diagram of the system components and connections of an elevator maintenance device and method proposed by the present invention;

[0038] Figure 2 A schematic diagram of the method steps of an elevator maintenance device and method proposed by the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] Please refer to the attached Figure 1 -Attached Figure 2The present invention provides a technical solution: an elevator maintenance device, comprising: a data acquisition and processing module: including a sensor unit and a data preprocessing unit; an intelligent analysis module: including an artificial intelligence algorithm unit and a model training and management unit; a decision and control module: including an autonomous decision-making unit and a predictive maintenance unit; an alarm and communication module: including an alarm device unit and a communication interface unit; a redundant system module: including a key component backup unit and a power management unit; a maintenance personnel interaction module: including a maintenance terminal unit and a user interface unit; a system monitoring and maintenance module: including a fault monitoring unit and a system maintenance unit;

[0041] The sensor unit is connected to the data preprocessing unit by wired or wireless means. The data collected by the sensor is transmitted to the data preprocessing unit through serial communication, network communication or a dedicated interface. The data preprocessing unit sends the processed data to the artificial intelligence algorithm unit. The algorithm unit is connected to the model training and management unit through an internal bus or network to train and update the model. The output results of the intelligent analysis module are transmitted to the autonomous decision-making unit through a data interface. The autonomous decision-making unit generates control commands according to the preset logic and algorithm, and sends them to the predictive maintenance unit and other actuators through the control bus. The alarm signal generated by the decision and control module is sent to the alarm device unit through the internal network. The communication interface unit is connected to the elevator control terminal, the maintenance personnel terminal and other system components through the network to realize real-time information exchange. The key component backup unit is connected in parallel with the main system component through a redundant interface. Once a main system failure is detected, it will immediately switch to the backup component. The power management unit is connected to all system components through the power line to provide a stable power supply. The maintenance terminal unit is connected to the communication interface unit through a wireless network to receive elevator status information and alarm signals. The user interface unit is connected to the maintenance terminal unit through the network or direct physical connection. The fault monitoring unit is connected to all other modules of the system through the network to monitor their operating status in real time. The system maintenance unit is connected to each module through the maintenance interface for regular inspection and maintenance.

[0042] The sensor units in the data acquisition and processing module include infrared sensors, ultrasonic sensors, cameras, etc., which are used to collect data about the elevator's surrounding environment and operating status; while the data preprocessing unit performs preliminary processing on the data collected by the sensors, such as denoising and normalization, in preparation for subsequent analysis;

[0043] The artificial intelligence algorithm unit in the intelligent analysis module includes supervised learning, unsupervised learning or deep learning algorithms;

[0044] A deep learning model is built using a convolutional neural network to learn patterns from preprocessed data for fault prediction and classification, where the formula is as follows:

[0045] f(x) = σ(Wx + b);

[0046] Letters mean: f(x) is the output of the neural network layer; σ is the activation function, such as Sigmoid or ReLU; W is the weight matrix; x is the input data; b is the bias term;

[0047] The model training and management unit is responsible for the training, verification, testing and updating of algorithm models to ensure the accuracy and timeliness of the models;

[0048] The model is trained using the gradient descent algorithm, where the formula is as follows:

[0049]

[0050] Letter meaning: θ is the model parameter, α is the learning rate, is the gradient of the loss function J(θ) with respect to the parameter θ;

[0051] The autonomous decision-making unit in the decision-making and control module is based on the output of the intelligent analysis module. The system can autonomously make decisions such as alarming and locking the elevator.

[0052] The decision is made through the logistic regression formula, where the formula is as follows:

[0053] P(y=1|x)=1 / (1+e^-(β0+β1*x1+...+βn*xn));

[0054] Letter meaning: P(y=1|x) is the probability that the output is 1 given an input x; e is the base of the natural logarithm; β0, β1, ..., βn are model parameters; x1, ..., xn are input features;

[0055] The predictive maintenance unit can analyze elevator operation data, predict potential failures and maintenance needs, and generate maintenance plans;

[0056] The ARIMA model is established through time series analysis method, and the formula used is as follows:

[0057] X_t=c+Φ_1X_{t-1}+...+Φ_pX_{tp}+Θ_1ε_{t-1}+...+Θ_qε_{tq};

[0058] The meaning of the letters: X_t is the value of the time series at time t; c is the constant term; Φ_1,...,Φ_p are the coefficients of the autoregressive term; Θ_1,...,Θ_q are the coefficients of the moving average term; ε_t is the white noise error term;

[0059] The alarm device unit in the alarm and communication module includes an audible alarm and a light alarm device, which is used to sound an alarm when an abnormal situation is detected;

[0060] The formula required for threshold judgment is as follows:

[0061] If x>threshold, then alert; the letters mean: x is the monitored data, threshold is the preset alarm threshold;

[0062] The communication interface unit communicates with the elevator control terminal, maintenance personnel terminal and other system components to transmit alarm signals and elevator status information;

[0063] The key component backup unit in the redundant system module provides backup for key components such as the elevator control terminal, sensor unit, and alarm device; while the power management unit includes the main power supply and the backup power supply to ensure that the system can still work normally in the event of a power failure;

[0064] The maintenance terminal unit in the maintenance personnel interaction module includes a terminal device held by the maintenance personnel, which is used to receive elevator status information, alarm signals and safety prompts; while the user interface unit can provide an intuitive operation interface, allowing maintenance personnel to easily interact with the system;

[0065] The fault monitoring unit in the system monitoring and maintenance module can monitor the working status of each component of the system in real time and respond promptly when a fault is found; while the system maintenance unit is responsible for regular testing, maintenance and updating of the system to ensure long-term stable operation of the system;

[0066] An elevator maintenance method comprises the following steps:

[0067] S1, data acquisition and processing module collects elevator operation data and environmental data;

[0068] S2, the intelligent analysis module processes and analyzes the data to identify the elevator status;

[0069] S3, the decision and control module makes corresponding decisions based on the analysis results;

[0070] S4, the alarm and communication module issues an alarm when an abnormality is detected and communicates with the maintenance personnel terminal;

[0071] S5, redundant system module takes over when the main system fails to ensure system continuity;

[0072] S6, the maintenance personnel interaction module allows maintenance personnel to receive information and perform maintenance tasks;

[0073] S7, system monitoring and maintenance module ensures the normal operation of each system component and performs regular maintenance.

[0074] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An elevator maintenance device, characterized in that: include: Data acquisition and processing module: including sensor unit and data preprocessing unit; Intelligent analysis module: including artificial intelligence algorithm unit and model training and management unit; decision and control module: including autonomous decision-making unit and predictive maintenance unit; alarm and communication module: including alarm device unit and communication interface unit; redundant system module: including key component backup unit and power management unit; maintenance personnel interaction module: including maintenance terminal unit and user interface unit; system monitoring and maintenance module: including fault monitoring unit and system maintenance unit; The sensor unit is connected to the data preprocessing unit by wired or wireless means. The data collected by the sensor is transmitted to the data preprocessing unit through serial communication, network communication or a dedicated interface. The data preprocessing unit sends the processed data to the artificial intelligence algorithm unit. The algorithm unit is connected to the model training and management unit through an internal bus or network to train and update the model. The output results of the intelligent analysis module are transmitted to the autonomous decision-making unit through a data interface. The autonomous decision-making unit generates control commands according to the preset logic and algorithm, and sends them to the predictive maintenance unit and other actuators through the control bus. The alarm signal generated by the decision and control module is sent to the alarm device unit through the internal network. The communication interface unit is connected to the elevator control terminal, the maintenance personnel terminal and other system components through the network to realize real-time information exchange. The key component backup unit is connected in parallel with the main system component through a redundant interface. Once a main system failure is detected, it will immediately switch to the backup component. The power management unit is connected to all system components through the power line to provide a stable power supply. The maintenance terminal unit is connected to the communication interface unit through a wireless network to receive elevator status information and alarm signals. The user interface unit is connected to the maintenance terminal unit through the network or direct physical connection. The fault monitoring unit is connected to all other modules of the system through the network to monitor their operating status in real time. The system maintenance unit is connected to each module through the maintenance interface for regular inspection and maintenance.

2. An elevator maintenance device according to claim 1, characterized in that: The sensor unit in the data acquisition and processing module includes an infrared sensor, an ultrasonic sensor, a camera, etc., which is used to collect data on the surrounding environment and operating status of the elevator; and the data preprocessing unit performs preliminary processing on the data collected by the sensor, such as denoising and normalization, to prepare for subsequent analysis.

3. An elevator maintenance device according to claim 1, characterized in that: The artificial intelligence algorithm unit in the intelligent analysis module includes supervised learning, unsupervised learning or deep learning algorithms; Build a deep learning model using convolutional neural networks to learn patterns from preprocessed data for fault prediction and classification; The model training and management unit is responsible for the training, verification, testing and updating of algorithm models to ensure the accuracy and timeliness of the models.

4. An elevator maintenance device according to claim 1, characterized in that: The autonomous decision-making unit in the decision and control module is based on the output of the intelligent analysis module, and the system can autonomously make decisions such as alarming and locking the elevator; The predictive maintenance unit can analyze elevator operation data, predict potential failures and maintenance needs, and generate maintenance plans.

5. An elevator maintenance device according to claim 1, characterized in that: The alarm device unit in the alarm and communication module includes a sound alarm and a light alarm device, which is used to sound an alarm when an abnormal situation is detected; The communication interface unit communicates with the elevator control terminal, maintenance personnel terminal and other system components to transmit alarm signals and elevator status information.

6. An elevator maintenance device according to claim 1, characterized in that: The key component backup unit in the redundant system module provides backup for key components such as the elevator control terminal, sensor unit, and alarm device; and the power management unit includes a main power supply and a backup power supply to ensure that the system can still work normally when a power failure occurs.

7. An elevator maintenance device according to claim 1, characterized in that: The maintenance terminal unit in the maintenance personnel interaction module includes a terminal device held by the maintenance personnel, which is used to receive elevator status information, alarm signals and safety prompts; and the user interface unit can provide an intuitive operation interface, allowing the maintenance personnel to easily interact with the system.

8. An elevator maintenance device according to claim 1, characterized in that: The fault monitoring unit in the system monitoring and maintenance module can monitor the working status of each component of the system in real time and respond promptly when a fault is found; while the system maintenance unit is responsible for regular testing, maintenance and updating of the system to ensure long-term stable operation of the system.

9. An elevator maintenance method, according to an elevator maintenance device according to any one of claims 1 to 8, characterized in that: The elevator maintenance method comprises the following steps: S1, data acquisition and processing module collects elevator operation data and environmental data; S2, the intelligent analysis module processes and analyzes the data to identify the elevator status; S3, the decision and control module makes corresponding decisions based on the analysis results; S4, the alarm and communication module issues an alarm when an abnormality is detected and communicates with the maintenance personnel terminal; S5, redundant system module takes over when the main system fails to ensure system continuity; S6, the maintenance personnel interaction module allows maintenance personnel to receive information and perform maintenance tasks; S7, system monitoring and maintenance module ensures the normal operation of each system component and performs regular maintenance.

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