A data intelligent updating method and system for parameter configuration of a hydraulic hoist

Abstract

This invention relates to the field of hydraulic gate hoist technology, and specifically to a method and system for intelligent data update of hydraulic gate hoist parameter configuration. The method includes: acquiring the operating status signal of the hydraulic gate hoist and storing it in a data storage unit; acquiring and updating the gate opening signal by acquiring the gate opening signal and storing it in the data storage unit; acquiring and updating the hydraulic cylinder pressure signal by acquiring the pressure signals on both sides of the hydraulic cylinder and storing it in the data storage unit; acquiring and updating the gate acceleration signal by acquiring the gate acceleration signal and storing it in the data storage unit; and constructing a fault signal diagram based on the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal stored in the data storage unit. The fault signal diagram and maintenance suggestions are then sent to a human-machine interface module for maintenance personnel to refer to.

Description

Technical Field

[0001] This invention relates to the field of hydraulic gate hoist technology, and in particular to a method and system for intelligent data updating of hydraulic gate hoist parameter configuration. Background Technology

[0002] Hydraulic gate hoists are widely used in water conservancy projects, shipbuilding, bridges, and other fields, and their parameter configuration directly affects the equipment's operating efficiency and safety. Traditional parameter configuration methods rely on manual experience and fixed rules, making it difficult to adapt to complex and changing working conditions, and the update efficiency is low. With the development of industrial internet and big data technologies, how to achieve intelligent updating of hydraulic gate hoist parameters has become an urgent problem to be solved.

[0003] Among the existing published patents, the utility model patent for a hydraulic gate opener with online oil detection and filtration (publication number: CN213331827U) discloses a hydraulic gate opener with online detection. Its principle is to detect the main oil tank oil circuit to find abnormalities in the hydraulic oil, thereby filtering and purifying the hydraulic oil, reducing the number of downtime maintenance caused by hydraulic oil cleanliness issues, and extending the service life of the hydraulic oil and equipment.

[0004] The aforementioned existing technologies have the drawback of insufficient parameter detection for hydraulic gate hoists, which prevents the intelligent and automated configuration of hydraulic gate hoist parameters. Summary of the Invention

[0005] The present invention aims to solve the technical problems existing in the prior art. Therefore, the present invention provides a method and system for intelligent data updating of hydraulic gate hoist parameter configuration.

[0006] A method for intelligently updating data for configuring parameters of hydraulic gate hoists, characterized by comprising the following steps:

[0007] S1: Collect the working status signal of the hydraulic hoist and store the working status signal in the data storage unit;

[0008] S2: By acquiring the gate opening signal, update the gate opening signal and store the gate opening signal in the data storage unit;

[0009] S3: By collecting pressure signals from both sides of the hydraulic cylinder, update the hydraulic cylinder pressure signal and store the hydraulic cylinder pressure signal in the data storage unit;

[0010] S4: By acquiring the gate acceleration signal, update the gate acceleration signal and store the gate acceleration signal in the data storage unit;

[0011] S5: Normalize the three signals obtained from steps S1-S4: gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal.

[0012] S6: Perform feature information analysis on the three signals after normalization processing to calculate the fault parameters of the hydraulic gate hoist;

[0013] S7: Based on the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal stored in the data storage unit, construct a fault signal diagram and send the fault signal diagram to the human-machine interface module;

[0014] S8: The information processing unit analyzes the fault parameters, generates maintenance suggestions, and sends them to the human-machine interface module.

[0015] Specifically, S2 includes the following steps:

[0016] S21: Install the cable-type displacement sensor at one end of the hydraulic cylinder, and fix the cable to the piston rod so that the linear motion of the cable is parallel to the axis of motion of the moving object;

[0017] S22: When the piston rod and the hydraulic cylinder move relative to each other, the pull rope extends and retracts, and the displacement signal is converted into an electrical signal by the encoder;

[0018] S23: Perform A / D conversion on the electrical signal emitted by the encoder and store the converted signal in the data storage unit.

[0019] Specifically, S3 includes the following steps:

[0020] S31: Connect the pressure transmitter to the hydraulic circuit of the hydraulic cylinder to convert the pressure in the circuit into a value suitable for long-distance travel.

[0021] Transmitted electrical signals;

[0022] S32: Store the converted electrical signal suitable for long-distance transmission into the data storage unit.

[0023] Specifically, S4 includes the following steps:

[0024] S41: A single-axis piezoelectric accelerometer is selected to collect the vertical vibration acceleration of the gate;

[0025] S42: A single-axis piezoelectric accelerometer is placed on the bottom edge of the gate panel and the main crossbeam of the gate. After collecting the acceleration signal, the acceleration signal is converted into an electrical signal and stored in the data storage unit.

[0026] Specifically, S5 includes the following steps:

[0027] S51: The acquired gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal are subjected to dimensionless and normalized processing. The calculation method is as follows:

[0028]

[0029] Where X represents the standardized data, and x, x' ... max x min These are the signal sequence and the maximum value in the signal, respectively.

[0030] Value, the minimum value in a signal;

[0031] Specifically, S6 includes the following steps:

[0032] S61: Perform cosine similarity judgment on the normalized gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal. The calculation method is as follows:

[0033]

[0034] Where N is the vector formed by the signals detected by the sensor, M is the vector formed by the preset signals, n is the length of the signal, and i represents the i-th component of the vector, that is, the i-th standardized value.

[0035] S62: Perform cosine similarity analysis on the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal to filter out error signals caused by water load impact;

[0036] S63: Based on the analysis of the characteristics of changes in gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal, the fault parameters and severity of the hydraulic hoist are obtained.

[0037] Specifically, S7 includes the following steps:

[0038] S71: Transmit the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal to the fault analysis module to plot the time-varying curves of the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal under different fault parameters.

[0039] S72: Send the gate opening signal curve, hydraulic cylinder pressure signal curve, and gate acceleration signal curve to the human-machine interface module.

[0040] Specifically, S8 includes the following steps:

[0041] S81: Based on fault parameters and fault severity, fault types are classified using support vector machines. After determining the fault type, feature optimization is performed, and the relevant features are input into the classifier of the corresponding fault severity for severity discrimination.

[0042] S82: Perform quantitative analysis of the fault severity, configure maintenance suggestions based on the quantitative analysis results, and send them to the human-machine interface module.

[0043] A data intelligent update system for configuring parameters of hydraulic gate hoists includes:

[0044] Data storage module, data acquisition module, feature information analysis module, fault analysis module, human-machine interface module;

[0045] The data storage module is used to store continuously updated gate opening signals, hydraulic cylinder pressure signals, and gate acceleration signal values, while also pre-storing preset signals of actual measurements.

[0046] The data acquisition module includes: a drawstring displacement sensor, a single-axis piezoelectric accelerometer, and a pressure transmitter;

[0047] The feature information analysis module can perform dimensionless and normalized processing on the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal. It can filter out error signals caused by water load impact by judging cosine similarity. It can also analyze the changing characteristics of the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal to obtain the fault parameters and fault severity of the hydraulic hoist and draw the signal change curve over time.

[0048] The fault analysis module can classify fault types based on fault parameters and fault severity, and generate maintenance suggestions.

[0049] The human-machine interface module can receive signal change curves over time and maintenance suggestions, and display them to maintenance personnel for reference.

[0050] Compared with the prior art, the technical effects of the present invention are as follows:

[0051] 1. Based on the acquisition of working signals from the hydraulic gate hoist system, and through cosine similarity and error information analysis, high precision and high reliability of parameter configuration can be achieved, while ensuring the monitoring of key parameters of the hydraulic gate hoist.

[0052] 2. It can detect the corresponding fault type based on different fault parameters and fault severity, realizing multi-scale, multi-level, and multi-channel fault feature capture, thus avoiding the loss of feature information;

[0053] 3. It can accurately send maintenance suggestions to hydraulic gate hoist maintenance personnel, who can use various signal curves to identify key maintenance points, providing excellent diagnostic results. Attached Figure Description

[0054] 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 some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0055] Figure 1 This is a flowchart of a data intelligent update method for configuring parameters of a hydraulic gate hoist according to the present invention;

[0056] Figure 2 This is a structural diagram of a data intelligent update system for configuring parameters of a hydraulic gate hoist according to the present invention;

[0057] Figure 3 This is a diagram illustrating the operation method of the rope sensor of the present invention.

[0058] Figure 4 This is a graph showing the gate opening signal of the present invention. Detailed Implementation

[0059] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, 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.

[0060] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, features defined with "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0061] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0062] Example 1: As Figure 1 As shown, this embodiment of the invention provides a method for intelligent data update of hydraulic gate hoist parameter configuration, characterized by the following steps:

[0063] S1: Collect the working status signal of the hydraulic hoist and store the working status signal in the data storage unit;

[0064] S2: By acquiring the gate opening signal, update the gate opening signal and store the gate opening signal in the data storage unit;

[0065] S3: By collecting pressure signals from both sides of the hydraulic cylinder, update the hydraulic cylinder pressure signal and store the hydraulic cylinder pressure signal in the data storage unit;

[0066] S4: By acquiring the gate acceleration signal, update the gate acceleration signal and store the gate acceleration signal in the data storage unit;

[0067] S5: Normalize the three signals obtained from steps S1-S4: gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal.

[0068] S6: Perform feature information analysis on the three signals after normalization processing to calculate the fault parameters of the hydraulic gate hoist;

[0069] S7: Based on the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal stored in the data storage unit, construct a fault signal diagram and send the fault signal diagram to the human-machine interface module.

[0070] S8: The information processing unit analyzes the fault parameters, generates maintenance suggestions, and sends them to the human-machine interface module.

[0071] Specifically, S2 includes the following steps:

[0072] S21: Install the cable-type displacement sensor at one end of the hydraulic cylinder, and fix the cable to the piston rod so that the linear motion of the cable is parallel to the axis of motion of the moving object;

[0073] S22: When the piston rod and the hydraulic cylinder move relative to each other, the pull rope extends and retracts, and the displacement signal is converted into an electrical signal by the encoder;

[0074] S23: Perform A / D conversion on the electrical signal emitted by the encoder and store the converted signal in the data storage unit.

[0075] Specifically, S3 includes the following steps:

[0076] S31: Connect the pressure transmitter to the hydraulic circuit of the hydraulic cylinder to convert the pressure in the circuit into a value suitable for long-distance travel.

[0077] Transmitted electrical signals;

[0078] S32: Store the converted electrical signal suitable for long-distance transmission into the data storage unit.

[0079] Specifically, S4 includes the following steps:

[0080] S41: A single-axis piezoelectric accelerometer is selected to collect the vertical vibration acceleration of the gate;

[0081] S42: A single-axis piezoelectric accelerometer is placed on the bottom edge of the gate panel and the main crossbeam of the gate. After collecting the acceleration signal, the acceleration signal is converted into an electrical signal and stored in the data storage unit.

[0082] Specifically, S5 includes the following steps:

[0083] S51: The acquired gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal are subjected to dimensionless and normalized processing. The calculation method is as follows:

[0084]

[0085] Where X represents the standardized data, and x, x' ... max x min These are the signal sequence and the maximum value in the signal, respectively.

[0086] Value, the minimum value in a signal;

[0087] Specifically, S6 includes the following steps:

[0088] S61: Perform cosine similarity judgment on the normalized gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal. The calculation method is as follows:

[0089]

[0090] Where N is the vector formed by the signals detected by the sensor, M is the vector formed by the preset signals, n is the length of the signal, and i represents the i-th component of the vector, that is, the i-th standardized value.

[0091] S62: Perform cosine similarity analysis on the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal to filter out error signals caused by water load impact;

[0092] S63: Based on the analysis of the characteristics of changes in gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal, the fault parameters and severity of the hydraulic hoist are obtained.

[0093] Specifically, S7 includes the following steps:

[0094] S71: Transmit the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal to the fault analysis module to plot the time-varying curves of the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal under different fault parameters.

[0095] S72: Send the gate opening signal curve, hydraulic cylinder pressure signal curve, and gate acceleration signal curve to the human-machine interface module.

[0096] Specifically, S8 includes the following steps:

[0097] S81: Based on fault parameters and fault severity, fault types are classified using support vector machines. After determining the fault type, feature optimization is performed, and the relevant features are input into the classifier of the corresponding fault severity for severity discrimination.

[0098] S82: Perform quantitative analysis of the fault severity, configure maintenance suggestions based on the quantitative analysis results, and send them to the human-machine interface module.

[0099] Example 2: Figure 2 As shown, this embodiment of the invention provides a data intelligent update system for configuring parameters of a hydraulic gate hoist, comprising:

[0100] Data storage module, data acquisition module, feature information analysis module, fault analysis module, human-machine interface module;

[0101] The data storage module is used to store continuously updated gate opening signals, hydraulic cylinder pressure signals, and gate acceleration signal values, while also pre-storing preset signals of actual measurements.

[0102] The data acquisition module includes: a drawstring displacement sensor, a single-axis piezoelectric accelerometer, and a pressure transmitter;

[0103] The feature information analysis module can perform dimensionless and normalized processing on the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal. It can filter out error signals caused by water load impact by judging cosine similarity. It can also analyze the changing characteristics of the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal to obtain the fault parameters and fault severity of the hydraulic hoist and draw the signal change curve over time.

[0104] The fault analysis module can classify fault types based on fault parameters and fault severity, and generate maintenance suggestions.

[0105] The human-machine interface module can receive signal change curves over time and maintenance suggestions, and display them to maintenance personnel for reference.

[0106] Example 3: This example provides a method for calculating the gate opening signal by using a pull-rope displacement sensor to detect the displacement of a hydraulic cylinder. Considering that the movement trajectory of an arc-shaped gate during opening and closing is an arc, there is a relative displacement in the horizontal and vertical directions. The relative displacement in the vertical direction is the opening, which is inconvenient to measure directly using traditional displacement sensors because there is a medium conversion between water and air in the working environment, and laser displacement sensors are also inconvenient to use. Therefore, this example considers using the sensor signal of the piston rod's displacement relative to the hydraulic cylinder to detect the gate opening signal, and the following method is used to calculate the gate opening signal:

[0107]

[0108] Where h is the gate opening degree and is the displacement of the piston rod relative to the hydraulic cylinder.

[0109] Example 4: Figure 3 As shown, this embodiment provides an operation method for a pull-string sensor. Displacement is monitored using a pull-string displacement sensor. The specific operation is as follows: The pull-string displacement sensor is installed on one end of a hydraulic cylinder, and the pull-string is fixed to the piston rod, ensuring that the linear motion of the pull-string is parallel to the axis of motion of the moving object. During motion, the pull-string extends and contracts, converting the relative motion (horizontal translation) into a measurable electrical signal proportional to the displacement signal via an encoder and a high-precision rotary sensor. This signal is recorded and transmitted to a signal acquisition box. After A / D conversion, the recorded electrical signal is reconstructed into the desired displacement signal.

[0110] Example 5: Figure 4 As shown, this embodiment provides a gate opening signal curve, where 1-4 represent different fault severity levels. By analyzing the curve of the opening signal relative to time, the initial stage of gear pump blockage and the impact of the fault on the hydraulic gate hoist system can be analyzed. Figure 4It can be seen that in the initial stage of a blockage at the gear pump outlet, the hydraulic oil output by the pump is reduced compared to normal conditions, but the system is hardly affected. As the blockage worsens, the hydraulic oil supply rate decreases, causing the gate opening speed to slow down. Specifically, the time required for the gate to open from the closed state gradually increases, which has a certain impact on the stable operation of the system. When the blockage is extremely severe, the amount of hydraulic oil that the gear pump can provide is very small, resulting in a very limited lifting height of the gate over a long period of time. This seriously affects the normal operation of the arc-shaped gate, making effective lifting impossible, and the system displays a fault.

[0111] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0112] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0113] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. A data intelligent updating method for parameter configuration of a hydraulic hoist, characterized in that, Includes the following steps: S1: Collect the working status signal of the hydraulic hoist and store the working status signal in the data storage unit; S2: By acquiring the gate opening signal, update the gate opening signal and store the gate opening signal in the data storage unit; S3: By collecting pressure signals from both sides of the hydraulic cylinder, update the hydraulic cylinder pressure signal and store the hydraulic cylinder pressure signal in the data storage unit; S4: By acquiring the gate acceleration signal, update the gate acceleration signal and store the gate acceleration signal in the data storage unit; S5: Normalize the three signals obtained from steps S1-S4: gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal. S6: Perform feature information analysis on the three signals after normalization processing to calculate the fault parameters of the hydraulic gate hoist; S7: Based on the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal stored in the data storage unit, construct a fault signal diagram and send the fault signal diagram to the human-machine interface module; S8: The information processing unit analyzes the fault parameters, generates maintenance suggestions, and sends them to the human-machine interface module; S51: The collected gate opening signal, hydraulic cylinder pressure signal, gate acceleration signal are de-dimensioned and normalized, and the calculation method is as follows: Wherein, X is the normalized data, Respectively, the signal sequence, the maximum value in the signal, the minimum value in the signal; S61: Perform cosine similarity judgment on the normalized gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal. The calculation method is as follows: Where N is the vector formed by the signals detected by the sensor, M is the vector formed by the preset signals, n is the length of the signal, and i represents the i-th component of the vector, i.e. the i-th standardized value. S62: Perform cosine similarity analysis on the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal to filter out error signals caused by water load impact; S63: Based on the analysis of the characteristics of changes in gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal, the fault parameters and severity of the hydraulic hoist are obtained.

2. The intelligent data update method for configuring parameters of a hydraulic gate hoist according to claim 1, characterized in that, S2 includes the following specific steps: S21: Install the cable-type displacement sensor at one end of the hydraulic cylinder, and fix the cable to the piston rod so that the linear motion of the cable is parallel to the axis of motion of the moving object; S22: When the piston rod and the hydraulic cylinder move relative to each other, the pull rope extends and retracts, and the displacement signal is converted into an electrical signal by the encoder; S23: Perform A / D conversion on the electrical signal emitted by the encoder and store the converted signal in the data storage unit.

3. The data intelligent updating method for parameter configuration of a hydraulic hoist according to claim 2, characterized in that, S3 includes the following specific steps: S31: Connect the pressure transmitter to the hydraulic circuit of the hydraulic cylinder to convert the pressure in the circuit into a value suitable for long-distance travel. Transmitted electrical signals; S32: Store the converted electrical signal suitable for long-distance transmission into the data storage unit.

4. The data intelligent updating method for parameter configuration of a hydraulic hoist according to claim 3, characterized in that, S4 includes the following specific steps: S41: A single-axis piezoelectric accelerometer is selected to collect the vertical vibration acceleration of the gate; S42: A single-axis piezoelectric accelerometer is placed on the bottom edge of the gate panel and the main crossbeam of the gate. After collecting the acceleration signal, the acceleration signal is converted into an electrical signal and stored in the data storage unit.

5. The data intelligent updating method for parameter configuration of a hydraulic hoist according to any one of claim 4, characterized in that, S7 includes the following specific steps: S71: Transmit the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal to the fault analysis module to plot the time-varying curves of the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal under different fault parameters. S72: Send the gate opening signal curve, hydraulic cylinder pressure signal curve, and gate acceleration signal curve to the human-machine interface module.

6. The data intelligent updating method for parameter configuration of a hydraulic hoist according to claim 5, characterized in that, S8 includes the following specific steps: S81: Based on fault parameters and fault severity, fault types are classified using support vector machines. After determining the fault type, feature optimization is performed, and the relevant features are input into the classifier of the corresponding fault severity for severity discrimination. S82: Perform quantitative analysis of the fault severity, configure maintenance suggestions based on the quantitative analysis results, and send them to the human-machine interface module.

7. A data intelligent updating system for parameter configuration of hydraulic hoist, based on the data intelligent updating method for parameter configuration of hydraulic hoist according to any one of claims 1-6, characterized in that, The system includes: Data storage module, data acquisition module, feature information analysis module, fault analysis module, human-machine interface module.

8. The data intelligent updating system for parameter configuration of a hydraulic hoist according to claim 7, characterized in that, The data storage module is used to store continuously updated gate opening signals, hydraulic cylinder pressure signals, and gate acceleration signal values, while also pre-storing preset signals of actual measurements. The data acquisition module includes: a drawstring displacement sensor, a single-axis piezoelectric accelerometer, and a pressure transmitter; The feature information analysis module can perform dimensionless and normalized processing on the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal. It can filter out error signals caused by water load impact by judging cosine similarity. It can also analyze the changing characteristics of the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal to obtain the fault parameters and fault severity of the hydraulic hoist and draw the signal change curve over time. The fault analysis module can classify fault types based on fault parameters and fault severity, and generate maintenance suggestions. The human-machine interface module can receive signal change curves over time and maintenance suggestions, and display them to maintenance personnel for reference.

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