Intelligent data updating method and system for parameter configuration of hydraulic hoist

Abstract

The invention relates to the technical field of hydraulic hoists, in particular to an intelligent data updating method and system for parameter configuration of a hydraulic hoist, and the method specifically comprises the steps: collecting a working state signal of the hydraulic hoist, storing the working state signal in a data storage unit, and updating a gate opening signal by collecting the gate opening signal, so that the parameter configuration of the hydraulic hoist is completed. A gate opening signal is stored in a data storage unit, a hydraulic cylinder pressure signal is updated by collecting pressure signals on the two sides of a hydraulic cylinder, the hydraulic cylinder pressure signal is stored in the data storage unit, and a gate acceleration signal is updated by collecting a gate acceleration signal. A gate acceleration signal is stored in the data storage unit, a fault signal diagram is constructed according to a gate opening signal, a hydraulic cylinder pressure signal and the gate acceleration signal stored in the data storage unit, and the fault signal diagram and maintenance suggestions are sent to the man-machine interface module for reference of maintenance personnel.

Description

Technical Field

[0001] The present invention relates to the technical field of hydraulic gate hoists, and in particular to a data intelligent updating method and system for parameter configuration of hydraulic gate hoists. Background Art

[0002] Hydraulic gate hoists are widely used in water conservancy projects, ships, bridges and other fields, and their parameter configuration directly affects the operating efficiency and safety of the equipment. Traditional parameter configuration methods rely on manual experience and fixed rules, which are difficult to adapt to complex and changeable working conditions, and have low update efficiency. With the development of industrial Internet and big data technology, how to realize the intelligent update of hydraulic gate hoist parameters has become an urgent problem to be solved.

[0003] Among the existing public patents, the utility model patent for a hydraulic gate hoist with online oil detection and filtration (publication number: CN213331827U) discloses a hydraulic gate hoist with online detection. The principle is to detect the oil circuit of the main oil tank to find abnormal conditions of the hydraulic oil, thereby filtering and purifying the hydraulic oil, reducing the number of shutdowns and maintenance caused by hydraulic oil cleanliness problems, and extending the service life of the hydraulic oil and equipment.

[0004] The above-mentioned prior art has the disadvantages of insufficient detection of hydraulic gate hoist parameters and failure to realize intelligent and automatic 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. To this end, the present invention provides a data intelligent updating method and system for parameter configuration of a hydraulic gate hoist.

[0006] A data intelligent updating method for parameter configuration of a hydraulic gate hoist, characterized in that it comprises the following steps:

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

[0008] S2: by collecting the gate opening signal, updating the gate opening signal, and storing the gate opening signal in the data storage unit;

[0009] S3: updating the hydraulic cylinder pressure signal by collecting the pressure signals on both sides of the hydraulic cylinder, and storing the hydraulic cylinder pressure signal in the data storage unit;

[0010] S4: updating the gate acceleration signal by collecting the gate acceleration signal, and storing the gate acceleration signal in the data storage unit;

[0011] S5: normalizing the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal updated in steps S1-S4;

[0012] S6: Analyze the characteristic information of the three signals after normalization processing, and calculate the fault parameters of the hydraulic gate hoist;

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

[0014] S8: The fault parameters are analyzed by the information processing unit, maintenance suggestions are obtained, and sent to the human-machine interface module.

[0015] Specifically, S2 includes the following specific steps:

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

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

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

[0019] Specifically, S3 includes the following specific steps:

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

[0021] The electrical signal transmitted;

[0022] S32: storing the converted electrical signal suitable for long-distance transmission in a data storage unit.

[0023] Specifically, S4 includes the following specific steps:

[0024] S41: Use a uniaxial piezoelectric acceleration sensor to collect the vibration acceleration of the gate in the vertical direction;

[0025] S42: Arrange the uniaxial piezoelectric acceleration sensor at the bottom edge of the gate panel and the main cross beam of the gate, collect the acceleration signal, convert the acceleration signal into an electrical signal and store it in the data storage unit.

[0026] Specifically, S5 includes the following specific steps:

[0027] S51: De-dimensioning and normalizing the collected gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal. The calculation method is as follows:

[0028]

[0029] Among them, X is the data after standardization, x, x max 、x min They are the signal sequence and the maximum value in the signal.

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

[0031] Specifically, S6 includes the following specific 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] Among them, N is a vector composed of signals obtained by sensor detection, M is a vector composed of 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 processing value.

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

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

[0037] Specifically, S7 includes the following specific steps:

[0038] S71: transmitting the gate opening signal, the hydraulic cylinder pressure signal, and the gate acceleration signal to the fault analysis module, and drawing a gate opening signal versus time curve graph, a hydraulic cylinder pressure signal versus time curve graph, and a gate acceleration signal versus time curve graph under different fault parameters;

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

[0040] Specifically, S8 includes the following specific steps:

[0041] S81: Based on the fault parameters and the fault severity, the fault type is classified by a support vector machine. After the fault type is determined, feature optimization is performed, and the relevant features are input into a classifier of the corresponding fault degree to determine the degree;

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

[0043] A data intelligent updating system for parameter configuration of a hydraulic gate hoist, comprising:

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

[0045] The data storage module is used to store the gate opening signal, hydraulic cylinder pressure signal, gate acceleration signal value that are continuously updated, and also pre-stores the preset signal of the actual measurement;

[0046] The data acquisition module includes: a pull-rope displacement sensor, a uniaxial piezoelectric acceleration sensor, and a pressure transmitter;

[0047] The characteristic information analysis module can remove dimension and normalize the gate opening signal, hydraulic cylinder pressure signal and gate acceleration signal, filter out the error signal caused by water load impact through cosine similarity judgment, and analyze the change 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 gate hoist, and draw a curve chart of the signal change over time;

[0048] The fault analysis module can classify the fault type according to the fault parameters and fault severity, and generate maintenance suggestions;

[0049] The human-machine interface module can receive a signal variation curve diagram 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 working signal of the hydraulic hoist system, the high accuracy and reliability of parameter configuration can be achieved through cosine similarity and error information analysis, while ensuring the monitoring of key parameters of the hydraulic hoist;

[0052] 2. It can detect the corresponding fault type according to different fault parameters and fault severity, realize multi-scale, multi-level and multi-channel fault feature capture, and avoid the loss of feature information;

[0053] 3. It can accurately configure maintenance suggestions and send them to the maintenance personnel of the hydraulic gate hoist. The maintenance personnel can judge the maintenance focus through various signal curves and have better diagnostic results. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0055] Figure 1 A flow chart of a data intelligent updating method for parameter configuration of a hydraulic gate hoist according to the present invention;

[0056] Figure 2 A structural diagram of a data intelligent updating system for parameter configuration of a hydraulic gate hoist according to the present invention;

[0057] Figure 3 The operation method diagram of the draw wire sensor of the present invention is shown in FIG.

[0058] Figure 4 This is the gate opening signal curve diagram of the present invention DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0060] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0061] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0062] Embodiment 1: Figure 1 As shown, an embodiment of the present invention provides a data intelligent updating method for parameter configuration of a hydraulic hoist, characterized in that it comprises the following steps:

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

[0064] S2: by collecting the gate opening signal, updating the gate opening signal, and storing the gate opening signal in the data storage unit;

[0065] S3: updating the hydraulic cylinder pressure signal by collecting the pressure signals on both sides of the hydraulic cylinder, and storing the hydraulic cylinder pressure signal in the data storage unit;

[0066] S4: updating the gate acceleration signal by collecting the gate acceleration signal, and storing the gate acceleration signal in the data storage unit;

[0067] S5: normalizing the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal updated in steps S1-S4;

[0068] S6: Analyze the characteristic information of the three signals after normalization processing, and calculate the fault parameters of the hydraulic gate hoist;

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

[0070] S8: The fault parameters are analyzed by the information processing unit, maintenance suggestions are obtained, and sent to the human-machine interface module.

[0071] Specifically, S2 includes the following specific steps:

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

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

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

[0075] Specifically, S3 includes the following specific steps:

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

[0077] The electrical signal transmitted;

[0078] S32: storing the converted electrical signal suitable for long-distance transmission in a data storage unit.

[0079] Specifically, S4 includes the following specific steps:

[0080] S41: Use a uniaxial piezoelectric acceleration sensor to collect the vibration acceleration of the gate in the vertical direction;

[0081] S42: Arrange the uniaxial piezoelectric acceleration sensor at the bottom edge of the gate panel and the main cross beam of the gate, collect the acceleration signal, convert the acceleration signal into an electrical signal and store it in the data storage unit.

[0082] Specifically, S5 includes the following specific steps:

[0083] S51: De-dimensioning and normalizing the collected gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal. The calculation method is as follows:

[0084]

[0085] Among them, X is the data after standardization, x, x max 、x min They are the signal sequence and the maximum value in the signal.

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

[0087] Specifically, S6 includes the following specific 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] Among them, N is a vector composed of signals obtained by sensor detection, M is a vector composed of 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 processing value.

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

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

[0093] Specifically, S7 includes the following specific steps:

[0094] S71: transmitting the gate opening signal, the hydraulic cylinder pressure signal, and the gate acceleration signal to the fault analysis module, and drawing a gate opening signal versus time curve graph, a hydraulic cylinder pressure signal versus time curve graph, and a gate acceleration signal versus time curve graph under different fault parameters;

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

[0096] Specifically, S8 includes the following specific steps:

[0097] S81: Based on the fault parameters and the fault severity, the fault type is classified by a support vector machine. After the fault type is determined, feature optimization is performed, and the relevant features are input into a classifier of the corresponding fault degree to determine the degree;

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

[0099] Embodiment 2: Figure 2 As shown, an embodiment of the present invention provides a data intelligent updating system for parameter configuration of a hydraulic hoist, comprising:

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

[0101] The data storage module is used to store the gate opening signal, hydraulic cylinder pressure signal, gate acceleration signal value that are continuously updated, and also pre-stores the preset signal of the actual measurement;

[0102] The data acquisition module includes: a pull-rope displacement sensor, a uniaxial piezoelectric acceleration sensor, and a pressure transmitter;

[0103] The characteristic information analysis module can remove dimension and normalize the gate opening signal, hydraulic cylinder pressure signal and gate acceleration signal, filter out the error signal caused by water load impact through cosine similarity judgment, and analyze the change 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 gate hoist, and draw a curve chart of the signal change over time;

[0104] The fault analysis module can classify the fault type according to the fault parameters and fault severity, and generate maintenance suggestions;

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

[0106] Embodiment 3: This embodiment provides a method for calculating the gate opening signal detection by using a pull-rope displacement sensor to detect the displacement of the hydraulic cylinder. Considering that the movement trajectory of the arc gate during opening and closing is a circular arc, there is a relative displacement in the horizontal and vertical directions. The relative displacement in the vertical direction, i.e., the opening, is not convenient to be measured directly by a traditional displacement sensor. Because there is a medium conversion between water and air in the working environment, the laser displacement sensor is also not convenient to use. Therefore, it is considered to use the sensor signal of the displacement of the piston rod relative to the hydraulic cylinder to detect the gate opening signal by the following method:

[0107]

[0108] Among them, h is the opening of the gate and is the displacement of the piston rod relative to the hydraulic cylinder.

[0109] Embodiment 4: Figure 3 As shown, this embodiment provides an operation method of a draw-wire sensor, and the displacement is monitored by a draw-wire displacement sensor. The specific operation is as follows: the draw-wire displacement sensor is installed on one end of the hydraulic cylinder, and the draw wire is fixed on the piston rod, so that the linear motion of the draw wire is parallel to the axis of motion of the moving object. When the motion occurs, the draw wire stretches and contracts, and the mechanical motion of the relative motion as horizontal translation is converted into a related, proportional, and measurable electrical signal through an encoder and a high-precision rotation sensor, which is recorded and transmitted to a signal acquisition box. After A / D conversion, the recorded electrical signal is restored to the desired displacement signal.

[0110] Embodiment 5: Figure 4 As shown, this embodiment provides a gate opening signal curve diagram, where 1-4 represent different fault severity levels. Through the curve diagram of the opening signal relative to time, the initial stage of the gear pump blockage and the impact of the fault on the hydraulic hoist system can be analyzed. Figure 4It can be seen that in the early stage of the blockage failure of the gear pump oil outlet, the hydraulic oil output by the pump is less than normal, but the system is hardly affected. As the degree of the failure continues to increase, the supply speed of the hydraulic oil decreases, resulting in a slower gate opening speed. Specifically, the time required for the gate to go from the closed state to the open state gradually increases, which has a certain impact on the stable operation of the system. When the blockage failure is extremely serious, the amount of hydraulic oil that the gear pump can provide is very small, which results in a very limited lifting height of the gate for a long time, which has a serious impact on the normal operation of the radial gate, and it cannot be effectively lifted, and the system displays a fault.

[0111] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0112] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

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

Claims

1. A data intelligent updating method for parameter configuration of hydraulic gate hoist, characterized in that: The following steps are involved: S1: Collect the working state signal of the hydraulic gate hoist and store the working state signal in the data storage unit; S2: by collecting the gate opening signal, updating the gate opening signal, and storing the gate opening signal in the data storage unit; S3: updating the hydraulic cylinder pressure signal by collecting the pressure signals on both sides of the hydraulic cylinder, and storing the hydraulic cylinder pressure signal in the data storage unit; S4: updating the gate acceleration signal by collecting the gate acceleration signal, and storing the gate acceleration signal in the data storage unit; S5: normalizing the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal updated in steps S1-S4; S6: Analyze the characteristic information of the three signals after normalization processing, and calculate the fault parameters of the hydraulic gate hoist; S7: construct a fault signal diagram according to the gate opening signal, the hydraulic cylinder pressure signal, and the gate acceleration signal stored in the data storage unit, and send the fault signal diagram to the human-machine interface module; S8: The fault parameters are analyzed by the information processing unit, maintenance suggestions are obtained, and sent to the human-machine interface module.

2. According to claim 1, a method for intelligently updating data for parameter configuration of a hydraulic hoist is characterized in that: S2 includes the following specific steps: S21: Install the pull rope displacement sensor on one end of the hydraulic cylinder, and fix the pull rope on the piston rod so that the linear motion of the pull rope is parallel to the motion axis of the moving object; S22: When the piston rod and the hydraulic cylinder move relative to each other, the pull rope stretches and contracts, and the displacement signal is converted into an electrical signal through the encoder; S23: Perform A / D conversion on the electrical signal sent by the encoder, and store the converted signal in the data storage unit.

3. A data intelligent updating method for parameter configuration of a hydraulic gate 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 an electrical signal suitable for long-distance transmission; S32: storing the converted electrical signal suitable for long-distance transmission in a data storage unit.

4. A 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: Use a uniaxial piezoelectric acceleration sensor to collect the vibration acceleration of the gate in the vertical direction; S42: Arrange the uniaxial piezoelectric acceleration sensor at the bottom edge of the gate panel and the main cross beam of the gate, collect the acceleration signal, convert the acceleration signal into an electrical signal and store it in the data storage unit.

5. A data intelligent updating method for parameter configuration of a hydraulic hoist according to claim 4, characterized in that: S5 includes the following specific steps: S51: De-dimensioning and normalizing the collected gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal. The calculation method is as follows: Among them, X is the data after standardization, x, x max 、x min are the signal sequence, the maximum value in the signal, and the minimum value in the signal respectively.

6. A data intelligent updating method for parameter configuration of a hydraulic hoist according to claim 5, characterized in that: S6 includes the following specific steps: 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: Among them, N is a vector composed of signals obtained by sensor detection, M is a vector composed of 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 processing value. S62: performing cosine similarity analysis on the gate opening signal, the hydraulic cylinder pressure signal, and the gate acceleration signal to filter out the error signal caused by the water load impact; S63: Based on the analysis of the gate opening signal, hydraulic cylinder pressure signal, and gate acceleration signal change characteristics, the fault parameters and fault severity of the hydraulic gate hoist are obtained.

7. A data intelligent updating method for parameter configuration of a hydraulic gate hoist according to any one of claim 6, characterized in that: S7 includes the following specific steps: S71: transmitting the gate opening signal, the hydraulic cylinder pressure signal, and the gate acceleration signal to the fault analysis module, and drawing a gate opening signal versus time curve graph, a hydraulic cylinder pressure signal versus time curve graph, and a gate acceleration signal versus time curve graph under different fault parameters; S72: Send the gate opening signal curve graph, the hydraulic cylinder pressure signal curve graph and the gate acceleration signal curve graph to the human-machine interface module.

8. The method for intelligently updating data for parameter configuration of a hydraulic hoist according to claim 7, characterized in that: S8 includes the following specific steps: S81: Based on the fault parameters and the fault severity, the fault type is classified by a support vector machine. After the fault type is determined, feature optimization is performed, and the relevant features are input into a classifier of the corresponding fault degree to determine the degree; S82: Quantitatively analyze the fault degree, configure maintenance suggestions based on the quantitative analysis results, and send them to the human-machine interface module.

9. A data intelligent updating system for parameter configuration of a hydraulic gate hoist, implemented based on a data intelligent updating method for parameter configuration of a hydraulic gate hoist according to any one of claims 1 to 8, characterized in that: The system comprises: Data storage module, data acquisition module, characteristic information analysis module, fault analysis module, and human-machine interface module.

10. The data intelligent updating system for parameter configuration of hydraulic hoist according to claim 9, characterized in that: The data storage module is used to store the gate opening signal, hydraulic cylinder pressure signal, gate acceleration signal value that are continuously updated, and also pre-stores the preset signal of the actual measurement; The data acquisition module includes: a pull-rope displacement sensor, a uniaxial piezoelectric acceleration sensor, and a pressure transmitter; The characteristic information analysis module can remove dimension and normalize the gate opening signal, hydraulic cylinder pressure signal and gate acceleration signal, filter out the error signal caused by water load impact through cosine similarity judgment, and analyze the change 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 gate hoist, and draw a curve chart of the signal change over time; The fault analysis module can classify the fault type according to the fault parameters and fault severity, and generate maintenance suggestions; The human-machine interface module can receive a signal variation curve diagram over time and maintenance suggestions, and display them to maintenance personnel for reference.

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