A self-resetting system for hydraulic cylinder pressure relief

CN117212286BActive Publication Date: 2026-10-09安庆雅德帝伯活塞有限公司
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Patent Information

Application Number
CN202311216160.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-09-19
Publication Date
2026-10-09
Estimated Expiration
2043-09-19

AI Technical Summary

Technical Problem

[0005]本发明旨在至少解决现有技术中存在的技术问题之一;为此,本发明提出了一种油缸泄压自复位系统,用于解决现有技术中针对油缸泄压的维修检查消耗的时间长,并且需要耗费人力对各部件进行检查,影响工作效率的技术问题

Benefits of technology

[0029] This invention acquires pressure and temperature data for a set period of time after a hydraulic device experiences pressure relief, and then combines the pressure and temperature data into a feature sequence. The feature sequence is then input into a pressure relief diagnosis model to obtain a pressure relief label. Based on the pressure relief label, the target component causing the pressure relief is matched, which can reduce the time spent manually checking the component causing the pressure relief and improve the working efficiency of the hydraulic device.

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Abstract

The application discloses an oil cylinder pressure relief self-resetting system and belongs to the field of oil cylinder control, and solves the technical problem that the existing technology consumes a long time for maintenance and inspection of oil cylinder pressure relief and needs to consume manpower to inspect each component, thereby affecting work efficiency; the application compares real-time positions of a plurality of oil cylinders with original positions before starting of a hydraulic device, controls the oil cylinders to return to the original positions when the oil cylinders are not at the original positions, and dispatches technical personnel to inspect and maintain the hydraulic device when it is detected that the oil cylinders are not successfully reset after a predicted time, so as to help eliminate potential safety hazards of the hydraulic device; real-time pressure data of the hydraulic device is analyzed during operation of the hydraulic device, real-time data of a set time period after pressure relief is spliced into a feature sequence when real-time pressure is less than a standard threshold, and a pressure relief diagnosis model is used to identify target components causing pressure relief, so as to help reduce time for manual inspection and determination of fault components and improve work efficiency of the hydraulic device.
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Description

Technical Field

[0001] This invention belongs to the field of hydraulic cylinder control and relates to hydraulic cylinder pressure relief self-reset technology, specifically a hydraulic cylinder pressure relief self-reset system. Background Technology

[0002] Hydraulic cylinders, also known as oil cylinders, are a key component of hydraulic systems. They generate mechanical motion through fluid pressure and are widely used in industrial machinery, automobile manufacturing, construction equipment, and other fields. Hydraulic cylinder self-resetting mechanisms can reduce the risk of accidents and operational errors. When the operator forgets to shut down the hydraulic system or a system malfunction occurs, the cylinder can automatically return to a safe position, avoiding potential dangers. Furthermore, self-resetting mechanisms reduce wear on the cylinder and system components, decreasing pressure and friction within the system and thus extending the equipment's lifespan.

[0003] Hydraulic equipment is prone to cylinder depressurization when left in standby mode for extended periods. This depressurization can cause the cylinders to lose their original positions, rendering the equipment unable to operate normally. In existing technologies, when a cylinder depressurizes and is no longer in its original position, the components are manually returned to their original positions before restarting. However, the maintenance and inspection of cylinder depressurization in existing technologies is time-consuming and requires manpower to inspect each component, which affects work efficiency.

[0004] This invention provides a hydraulic cylinder pressure relief self-reset system to solve the above-mentioned technical problems. Summary of the Invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a hydraulic cylinder pressure relief self-reset system to solve the technical problem that the maintenance and inspection of hydraulic cylinder pressure relief in the prior art is time-consuming and requires manpower to inspect each component, which affects work efficiency.

[0006] To achieve the above objectives, a first aspect of the present invention provides a hydraulic cylinder pressure relief self-reset system, comprising: a central control module, and a data acquisition module and a terminal processing module connected thereto;

[0007] Data acquisition module: It obtains the original position of several cylinders installed in the hydraulic equipment through sensors; it collects real-time data of the hydraulic equipment through data sensors and transmits the real-time data to the central control module; the real-time data includes real-time position data, real-time pressure data or real-time temperature data;

[0008] Central control module: When the hydraulic equipment is in a stopped state, it determines whether the hydraulic equipment has met the start-up conditions based on real-time position data; if yes, it starts the hydraulic equipment and monitors its operation; if no, it generates a control signal and transmits it to the terminal processing module; and...

[0009] When the hydraulic equipment is in operation, it is determined whether the hydraulic equipment is depressurized based on real-time data; if so, the target component causing the depressurization is identified and an early warning signal is generated and transmitted to the terminal processing module; otherwise, the real-time data of the hydraulic equipment is continuously monitored.

[0010] Terminal processing module: Based on control signals, controls the hydraulic cylinder to return to its original position and checks the hydraulic equipment after return. It determines whether the hydraulic cylinder has returned to its original position; if yes, the hydraulic equipment is normal; otherwise, there is an abnormality, and technicians are dispatched to inspect and repair the hydraulic equipment.

[0011] Based on the early warning signal, technicians are dispatched to inspect and repair the target component.

[0012] Preferably, the step of determining whether the hydraulic equipment has met the start-up conditions based on real-time location data includes:

[0013] Obtain the original positions of several cylinders in the hydraulic equipment, and construct a standard position distribution map based on the original positions of the cylinders; retrieve the real-time position data of several cylinders, and construct a real-time position distribution map based on the real-time position data of the cylinders; where the original position refers to the initial position of the cylinder that meets the equipment start-up conditions;

[0014] The real-time location distribution map is compared with the standard location distribution map; if they match, the hydraulic equipment is started and its operation is monitored; otherwise, the time it takes for the hydraulic cylinders to return to their original positions is predicted.

[0015] This invention acquires the real-time positions of several cylinders within a hydraulic system before startup. Based on these positions, a real-time position distribution map of the cylinders is constructed. This map is then compared to a standard position distribution map. If a cylinder is not in its original position, a control signal is generated promptly to return it to its original position. This facilitates the detection of cylinder positions before startup, eliminating potential safety hazards. Furthermore, this invention analyzes whether the positions of several cylinders meet the startup conditions of the hydraulic system using the real-time position distribution map. Image comparison methods enable rapid verification of the positions and shapes of multiple cylinders, improving verification efficiency and accuracy.

[0016] Preferably, the time for the predicted hydraulic cylinder to return to its original position includes:

[0017] Retrieve the historical distance S between the cylinder and its original position and the corresponding reset time T; fit a distance-time function T(S) = α × logc(S+1) based on the historical distance S and reset time T; where α is a proportionality coefficient greater than 0; logc is a logarithmic function with c as the base, and c is a real number greater than 1;

[0018] Retrieve the real-time position data of the hydraulic cylinder, and obtain the real-time distance S1 between the hydraulic cylinder and the original position based on the real-time position data; retrieve the distance-time function T(S), input the real-time distance S1 into the distance-time function T(S) to obtain the function value T(S1) corresponding to the real-time distance S1, and mark T(S1) as the prediction time T1.

[0019] During the cylinder reset process, the reset time corresponding to each reset distance (the aforementioned historical distance) is different, and the two are not linearly mapped; therefore, an accurate mapping relationship needs to be constructed. This invention fits historical data into a distance-time function T(S) and obtains the real-time distance S1 between the cylinder's real-time position and its original position. The real-time distance S1 is then input into the distance-time function T(S) to obtain the predicted time T1 corresponding to the real-time distance S1, providing a set time for subsequent detection of whether the cylinder has returned to its original position.

[0020] Preferably, the step of determining whether the hydraulic equipment is experiencing pressure leakage based on real-time data includes:

[0021] Retrieve real-time pressure data from the real-time data; determine whether the pressure of the hydraulic equipment is less than the standard threshold based on the real-time pressure data; if yes, identify the target component causing the pressure relief; otherwise, continuously monitor the real-time pressure data of the hydraulic equipment.

[0022] This invention monitors the real-time pressure data of hydraulic equipment. When the real-time pressure is less than the standard threshold, the hydraulic equipment has experienced pressure leakage, which lays the foundation for subsequent identification of target components.

[0023] Preferably, the identification of the target component causing the pressure relief includes:

[0024] Retrieve pressure and temperature data for a set time period after the hydraulic equipment experiences pressure relief, and combine the pressure and temperature data into a feature sequence.

[0025] The pressure relief diagnostic model is invoked, and the feature sequence is input into the model to obtain the pressure relief label; the target component corresponding to the pressure relief label is matched; the pressure relief label is set to a positive integer; the pressure relief diagnostic model is built based on an artificial intelligence model; the time period is set based on experience.

[0026] Preferably, the pressure relief diagnostic model is built based on an artificial intelligence model and includes:

[0027] Obtain standard training data; wherein, standard training data includes standard input data consistent with the content attributes of the feature sequence, and standard output data consistent with the content attributes of the pressure relief label;

[0028] The constructed artificial intelligence model is trained using standard training data to obtain a pressure relief diagnostic model; the artificial intelligence model includes a BP neural network model or an RBF neural network model.

[0029] This invention acquires pressure and temperature data for a set period of time after a hydraulic device experiences pressure relief, and then combines the pressure and temperature data into a feature sequence. The feature sequence is then input into a pressure relief diagnosis model to obtain a pressure relief label. Based on the pressure relief label, the target component causing the pressure relief is matched, which can reduce the time spent manually checking the component causing the pressure relief and improve the working efficiency of the hydraulic device.

[0030] Preferably, determining whether the hydraulic cylinder of the hydraulic equipment has returned to its original position includes:

[0031] Retrieve the real-time position data of the hydraulic cylinder after the predicted time T1, and determine whether the real-time position data of the hydraulic cylinder coincides with the original position; if yes, it is determined that the hydraulic cylinder of the hydraulic equipment has returned to the original position; if no, it is determined that the hydraulic equipment has malfunctioned, and technical personnel are dispatched to inspect and repair the equipment.

[0032] This invention checks the real-time position of the hydraulic cylinder after a predicted time T1. If the hydraulic cylinder does not return to its original position after the predicted time T1, technicians can be dispatched in a timely manner to inspect and repair the hydraulic equipment. This is beneficial for detecting the results after control and eliminating potential safety hazards in the equipment.

[0033] Preferably, the central control module is communicatively and / or electrically connected to the data acquisition module and the terminal processing module respectively; the data acquisition module is communicatively and / or electrically connected to the data sensor; the terminal processing module is communicatively and / or electrically connected to the smart terminal; wherein, the data sensor includes a position sensor, a pressure sensor or a temperature sensor; the smart terminal includes a mobile phone or a computer.

[0034] Compared with the prior art, the beneficial effects of the present invention are as follows: Before the hydraulic equipment is started, the real-time position of several cylinders of the hydraulic equipment is detected, and a real-time position distribution map is constructed based on the real-time position data of several cylinders; the real-time position distribution map is compared with a standard position distribution map, and when the two are inconsistent, it indicates that a certain cylinder of the hydraulic equipment has experienced pressure relief, generating a control signal to control the cylinder to return to its original position, which helps to reduce the time spent on manual cylinder inspection and manual reset; based on the historical distance S between the cylinder and its original position and the corresponding reset time T, a distance-time function T(S) is fitted, and the real-time position is then used to determine the appropriate function. The system acquires the real-time distance S1 between the hydraulic cylinder and its original position. This real-time distance S1 is then input into the distance-time function T(S) to obtain the predicted time T1. After the predicted time T1, the real-time position of the hydraulic cylinder is monitored to determine if it has returned to its original position. If the cylinder has not returned, technicians are dispatched to inspect and repair the hydraulic equipment. During the operation of the hydraulic equipment, the real-time pressure data is monitored. When the real-time pressure data is lower than the standard threshold, the system analyzes and identifies the target component causing the pressure leak. This reduces the time spent manually inspecting components causing the pressure leak, thus improving the working efficiency of the hydraulic equipment. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a schematic diagram of the overall framework of the present invention;

[0037] Figure 2 This is a schematic diagram illustrating the specific steps of the present invention;

[0038] Figure 3 This is a schematic diagram showing the comparison between the real-time location distribution map and the standard location distribution map of the present invention;

[0039] Figure 4 This is a schematic diagram of the distance-time function T(S) of the present invention. Detailed Implementation

[0040] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0041] Please see Figures 1-2 The first aspect of the present invention provides a hydraulic cylinder pressure relief self-reset system, including: a central control module, and a data acquisition module and a terminal processing module connected thereto;

[0042] Data acquisition module: It obtains the original position of several cylinders installed in the hydraulic equipment through sensors; it collects real-time data of the hydraulic equipment through data sensors and transmits the real-time data to the central control module; the real-time data includes real-time position data, real-time pressure data or real-time temperature data;

[0043] Central control module: When the hydraulic equipment is in a stopped state, it acquires the original positions of several cylinders within the hydraulic equipment and constructs a standard position distribution map based on these original positions; it retrieves the real-time position data of several cylinders and constructs a real-time position distribution map based on these real-time positions; where the original position refers to the initial position of the cylinder that meets the equipment start-up conditions; it compares the real-time position distribution map with the standard position distribution map; when they match, it starts the hydraulic equipment and monitors the operation process of the hydraulic equipment; otherwise, it predicts the time it takes for the cylinders of the hydraulic equipment to return to their original positions.

[0044] Retrieve the historical distance S between the hydraulic cylinder and its original position, and the corresponding reset time T; fit a distance-time function T(S) = α × logc(S+1) based on the historical distance S and reset time T; where α is a proportionality coefficient greater than 0; logc is a logarithmic function with c as the base, and c is a real number greater than 1; retrieve the real-time position data of the hydraulic cylinder, and obtain the real-time distance S1 between the hydraulic cylinder and its original position based on the real-time position data; retrieve the distance-time function T(S), input the real-time distance S1 into the distance-time function T(S) to obtain the function value T(S1) corresponding to the real-time distance S1, and mark T(S1) as the predicted time T1;

[0045] When the hydraulic equipment is in operation, retrieve the real-time pressure data from the real-time data; based on the real-time pressure data, determine whether the pressure of the hydraulic equipment is less than the standard threshold; if yes, identify the target component causing the pressure relief; otherwise, continuously monitor the real-time pressure data of the hydraulic equipment.

[0046] The system retrieves pressure and temperature data for a set time period after the hydraulic equipment experiences pressure relief, and concatenates these data into a feature sequence. It then calls the pressure relief diagnosis model, inputs the feature sequence into the model to obtain pressure relief labels, and matches the target components corresponding to the pressure relief labels. The pressure relief labels are set to positive integers. The pressure relief diagnosis model is built based on an artificial intelligence model, and the set time period is determined empirically.

[0047] Terminal processing module: Based on the control signal, it controls the hydraulic cylinder to return to its original position and checks the hydraulic equipment after the return. It retrieves the real-time position data of the hydraulic cylinder after the predicted time T1 and determines whether the real-time position of the hydraulic cylinder coincides with its original position. If yes, it determines that the hydraulic cylinder has returned to its original position; otherwise, it determines that the hydraulic equipment has malfunctioned and dispatches technicians to inspect and repair the equipment.

[0048] Based on the early warning signal, technicians are dispatched to inspect and repair the target component.

[0049] The technical solution of this embodiment will be illustrated by an example. This embodiment provides a hydraulic cylinder pressure relief self-reset system, which includes the following steps:

[0050] 1. Please refer to Figure 3 The data acquisition module obtains the original positions of several cylinders installed within the hydraulic equipment through sensors; it also collects real-time data from the hydraulic equipment through data sensors and transmits the real-time data to the central control module. This real-time data includes real-time position data, real-time pressure data, or real-time temperature data. When the hydraulic equipment is in a stopped state, the central control module obtains the original positions of several cylinders within the hydraulic equipment and constructs a standard position distribution map based on these original positions. It then retrieves the real-time position data of several cylinders and constructs a real-time position distribution map based on these real-time positions. The original position refers to the initial position of the cylinders that meets the equipment's start-up conditions. The real-time position distribution map is compared with the standard position distribution map. If they match, the hydraulic equipment is started, and its operation is monitored. Otherwise, the time it takes for the cylinders to return to their original positions is predicted.

[0051] For example: There is a hydraulic equipment with 7 cylinders. The real-time position distribution map is compared with the standard position distribution map. The analysis of the comparison results shows that cylinder 2 is not in its original position. Therefore, cylinder 2 has experienced pressure relief, generating a control signal to control cylinder 2 to return to its original position.

[0052] 2. Please refer to Figure 4 The historical distance S between the cylinder and its original position and the corresponding reset time T are retrieved. Based on the historical distance S and the reset time T, a distance-time function T(S) = α × logc(S+1) is fitted. Here, α is a proportionality coefficient greater than 0, and logc is a logarithmic function with c as the base, and c is a real number greater than 1. The real-time position data of the cylinder is retrieved, and the real-time distance S1 between the cylinder and its original position is obtained based on the real-time position data. The distance-time function T(S) is retrieved, and the real-time distance S1 is input into the distance-time function T(S) to obtain the function value T(S1) corresponding to the real-time distance S1. T(S1) is marked as the prediction time T1.

[0053] For example: Given a hydraulic device, analysis shows that cylinder 2 of the hydraulic device is not in its original position. Obtain the real-time distance S1 between the real-time position of cylinder 2 and its original position. Substitute the real-time distance S1 into the distance-time function T(S) to obtain the time T(S1) = T1 required for cylinder 2 to return to its original position.

[0054] 3. When the hydraulic equipment is in operation, retrieve the real-time pressure data from the real-time data; based on the real-time pressure data, determine whether the pressure of the hydraulic equipment is less than the standard threshold; if yes, identify the target component causing the pressure relief; if no, continuously monitor the real-time pressure data of the hydraulic equipment.

[0055] For example: Given a hydraulic device with a standard threshold value of P, three sets of real-time pressure data are as follows:

[0056] The first set of data: The real-time pressure data of the hydraulic equipment is P1. If P1 is greater than P, it is determined that the hydraulic equipment has not experienced pressure relief. The second set of data: The real-time pressure data of the hydraulic equipment is P2. If P2 is less than P, the target component causing the pressure relief is identified. The third set of data: The real-time pressure data of the hydraulic equipment is P3. If P3 is less than P, the target component causing the pressure relief is identified.

[0057] 4. Retrieve pressure and temperature data for a set time period after the hydraulic equipment experiences pressure relief, and combine the pressure and temperature data into a feature sequence; call the pressure relief diagnosis model, input the feature sequence into the pressure relief diagnosis model to obtain pressure relief labels; match the target component corresponding to the pressure relief label; wherein, the pressure relief label is set to a positive integer; the pressure relief diagnosis model is built based on an artificial intelligence model; the set time period is obtained based on experience.

[0058] For example: Given a hydraulic device, analysis indicates that pressure relief occurred at two different times. Pressure and temperature data were retrieved for 5 minutes after the pressure relief and combined into a feature sequence. The two sets of data are as follows:

[0059] The first set of data has the feature sequence [(P1, P2, P3, P4, P5), (W1, W2, W3, W4, W5)]. The pressure relief diagnostic model is called to obtain the pressure relief label as 2. The target component corresponding to pressure relief label 2 is the sealing ring. Then the technicians repair and replace the sealing ring of the hydraulic equipment.

[0060] The second set of data has the feature sequence [(P6, P7, P8, P9, P10), (W6, W7, W8, W9, W10)]. The pressure relief diagnostic model is called to obtain the pressure relief label as 1. The target component corresponding to pressure relief label 1 is the hydraulic cylinder. Then the technicians inspect and repair the hydraulic cylinder of the hydraulic equipment.

[0061] 5. The terminal processing module controls the hydraulic cylinder to return to its original position based on the control signal, and checks the hydraulic equipment after the return. It retrieves the real-time position data of the hydraulic cylinder after the predicted time T1, and determines whether the real-time position of the hydraulic cylinder coincides with the original position. If yes, it determines that the hydraulic cylinder of the hydraulic equipment has returned to its original position; if no, it determines that the hydraulic equipment is abnormal and dispatches technicians to inspect and repair the equipment. It also dispatches technicians to inspect and repair the target component based on the warning signal.

[0062] For example: In a certain hydraulic equipment, the No. 2 cylinder of the hydraulic equipment is controlled to return to its original position. After time T1, the real-time position of the No. 2 cylinder of the hydraulic equipment is detected. When the real-time position of the No. 2 cylinder coincides with its original position, it is determined that the cylinder of the hydraulic equipment has returned to its original position; otherwise, technicians are dispatched to inspect and repair the hydraulic equipment.

[0063] Some of the data in the above formula are calculated by removing dimensions and taking their numerical values. The formula is the closest to the real situation obtained by software simulation of a large amount of collected data. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0064] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A hydraulic cylinder pressure relief self-reset system, comprising: A central control module, and a data acquisition module and a terminal processing module connected thereto; characterized in that: Data acquisition module: It obtains the original position of several cylinders installed in the hydraulic equipment through sensors; it collects real-time data of the hydraulic equipment through data sensors and transmits the real-time data to the central control module; the real-time data includes real-time position data, real-time pressure data or real-time temperature data; Central control module: When the hydraulic equipment is in a stopped state, it determines whether the hydraulic equipment has met the start-up conditions based on real-time position data; if yes, it starts the hydraulic equipment and monitors its operation; if no, it generates a control signal and transmits it to the terminal processing module; and... When the hydraulic equipment is in operation, it is determined whether the hydraulic equipment is depressurized based on real-time data; if so, the target component causing the depressurization is identified and an early warning signal is generated and transmitted to the terminal processing module; otherwise, the real-time data of the hydraulic equipment is continuously monitored. Terminal processing module: Based on control signals, controls the hydraulic cylinder to return to its original position and checks the hydraulic equipment after return. It determines whether the hydraulic cylinder has returned to its original position; if yes, the hydraulic equipment is normal; otherwise, there is an abnormality, and technicians are dispatched to inspect and repair the hydraulic equipment. Based on the early warning signal, technical personnel are dispatched to inspect and repair the target component; The method of determining whether the hydraulic equipment has met the start-up conditions based on real-time location data includes: Obtain the original positions of several cylinders in the hydraulic equipment, and construct a standard position distribution map based on the original positions of the cylinders; retrieve the real-time position data of several cylinders, and construct a real-time position distribution map based on the real-time position data of the cylinders; where the original position refers to the initial position of the cylinder that meets the equipment start-up conditions; The real-time location distribution map is compared with the standard location distribution map; if they match, the hydraulic equipment is started and its operation is monitored; otherwise, the time it takes for the hydraulic cylinders to return to their original positions is predicted. The predicted time for the hydraulic cylinder of the hydraulic equipment to return to its original position includes: Retrieve the historical distance S between the cylinder and its original position and the corresponding reset time T; fit a distance-time function T(S) = α × logc(S+1) based on the historical distance S and reset time T; where α is a proportionality coefficient greater than 0; logc is a logarithmic function with c as the base, and c is a real number greater than 1; Retrieve the real-time position data of the hydraulic cylinder, and obtain the real-time distance S1 between the hydraulic cylinder and the original position based on the real-time position data; retrieve the distance-time function T(S), input the real-time distance S1 into the distance-time function T(S) to obtain the function value T(S1) corresponding to the real-time distance S1, and mark T(S1) as the prediction time T1.

2. The hydraulic cylinder pressure relief self-resetting system according to claim 1, characterized in that, The method of determining whether hydraulic equipment is experiencing pressure leakage based on real-time data includes: Retrieve real-time pressure data from the real-time data; determine whether the pressure of the hydraulic equipment is less than the standard threshold based on the real-time pressure data; if yes, identify the target component causing the pressure relief; otherwise, continuously monitor the real-time pressure data of the hydraulic equipment.

3. The hydraulic cylinder pressure relief self-resetting system according to claim 2, characterized in that, The identification of the target component causing the pressure relief includes: Retrieve pressure and temperature data for a set time period after the hydraulic equipment experiences pressure relief, and combine the pressure and temperature data into a feature sequence. The pressure relief diagnostic model is invoked, and the feature sequence is input into the model to obtain the pressure relief label; the target component corresponding to the pressure relief label is matched; the pressure relief label is set to a positive integer; the pressure relief diagnostic model is built based on an artificial intelligence model; the time period is set based on experience.

4. The hydraulic cylinder pressure relief self-resetting system according to claim 3, characterized in that, The pressure relief diagnostic model is built based on an artificial intelligence model and includes: Obtain standard training data; wherein, standard training data includes standard input data consistent with the content attributes of the feature sequence, and standard output data consistent with the content attributes of the pressure relief label; The constructed artificial intelligence model is trained using standard training data to obtain a pressure relief diagnostic model; the artificial intelligence model includes a BP neural network model or an RBF neural network model.

5. The hydraulic cylinder pressure relief self-resetting system according to claim 1, characterized in that, The determination of whether the hydraulic cylinder of the hydraulic equipment has returned to its original position includes: Retrieve the real-time position data of the hydraulic cylinder after the predicted time T1, and determine whether the real-time position data of the hydraulic cylinder coincides with the original position; if yes, it is determined that the hydraulic cylinder of the hydraulic equipment has returned to the original position; if no, it is determined that the hydraulic equipment has malfunctioned, and technical personnel are dispatched to inspect and repair the equipment.

6. The hydraulic cylinder pressure relief self-resetting system according to claim 1, characterized in that, The central control module is communicatively and / or electrically connected to the data acquisition module and the terminal processing module, respectively; the data acquisition module is communicatively and / or electrically connected to the data sensors; the terminal processing module is communicatively and / or electrically connected to the smart terminal; wherein, the data sensors include position sensors, pressure sensors, or temperature sensors; the smart terminal includes mobile phones or computers.

Citation Information

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