A hydraulic control method and system for power grid construction equipment

Abstract

This application provides a hydraulic control method and system for power grid construction equipment. The method includes: collecting operational monitoring information of the target power grid construction equipment in a preset work area, and extracting operational characteristic data corresponding to multiple work nodes, including operational height characteristic data and load data of the target power grid construction equipment, as well as actual pressure, flow, displacement, and temperature data of the hydraulic system at multiple time monitoring points corresponding to each work node; processing each type of data in the operational characteristic data separately to obtain equipment load compensation factors, pressure response index, flow stability index, displacement sensitivity index, temperature adaptability index, and equipment reliability index; further comprehensive processing to obtain a comprehensive hydraulic control evaluation index; and adjusting the hydraulic system of the target power grid construction equipment accordingly, thereby realizing the hydraulic control technology for power grid construction equipment.

Description

Technical Field

[0001] This application relates to the field of hydraulic control technology, and more specifically, to hydraulic control methods and systems for power grid construction equipment. Background Technology

[0002] With the continuous development of power grid construction, the performance requirements for power grid construction equipment are also increasing. Traditional hydraulic control systems for power grid construction equipment suffer from problems such as low control accuracy, slow response speed, and poor reliability.

[0003] Effective technical solutions are urgently needed to address the above problems. Summary of the Invention

[0004] The purpose of this application is to provide a hydraulic control method and system for power grid construction equipment. This method can collect operational monitoring information of the target power grid construction equipment in a preset work area, extract operational characteristic data corresponding to multiple work nodes, process various types of data in the operational characteristic data separately to obtain equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, temperature adaptability index, and equipment reliability index, and further process them comprehensively to obtain a comprehensive hydraulic control evaluation index. The hydraulic system of the target power grid construction equipment is then adjusted accordingly to realize the hydraulic control technology for power grid construction equipment.

[0005] This application also provides a hydraulic control method for power grid construction equipment, including the following steps:

[0006] Collect operational monitoring information of the target power grid construction equipment in the preset work area, and extract operational characteristic data corresponding to multiple work nodes, including the working height characteristic data and load data of the target power grid construction equipment, as well as the actual pressure, flow, displacement and temperature data of the hydraulic system at multiple time monitoring points corresponding to each work node;

[0007] The equipment load compensation factor is obtained by processing the operating height characteristic data and load data.

[0008] Pressure characteristic data is extracted from the actual pressure value data and processed to obtain the pressure response index;

[0009] Based on the actual traffic data, traffic characteristic data is extracted and processed to obtain the traffic stability index;

[0010] Obtain displacement accuracy characteristic data, and process it in conjunction with the actual displacement value data to obtain the displacement sensitivity index;

[0011] Temperature characteristic data is extracted from the actual temperature data and processed to obtain the temperature adaptability index;

[0012] The design characteristic data of the target power grid construction equipment is obtained and processed to obtain the equipment reliability index;

[0013] Based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, a comprehensive hydraulic control evaluation index is obtained, and the hydraulic system of the target power grid construction equipment is adjusted accordingly.

[0014] Optionally, in the hydraulic control method for power grid construction equipment described in this application, the step of processing the working height characteristic data and load data to obtain the equipment load compensation factor includes:

[0015] The operation height feature data includes the actual operation height data and the corresponding operation height set value data for each operation node, and further extracts the operation height deviation value data for each operation node.

[0016] The equipment load compensation factor for each working node is obtained by processing the work height deviation data and load data.

[0017] Optionally, in the hydraulic control method for power grid construction equipment described in this application, the step of extracting pressure characteristic data based on the actual pressure value data and processing it to obtain a pressure response index includes:

[0018] The actual pressure values ​​corresponding to multiple time monitoring points of each working node are extracted and processed to obtain the pressure range data corresponding to each working node.

[0019] Obtain the pressure setpoint data corresponding to each time monitoring point, and process it in combination with the actual pressure value data to obtain the pressure deviation value data corresponding to each time monitoring point.

[0020] The pressure response speed data corresponding to each working node is obtained, and the pressure range value data and pressure deviation value data are processed to obtain the pressure response index corresponding to each working node.

[0021] Optionally, in the hydraulic control method for power grid construction equipment described in this application, the step of extracting flow characteristic data based on the actual flow value data and processing it to obtain the flow stability index includes:

[0022] The actual flow data corresponding to multiple time monitoring points of each working node are extracted and processed to obtain the standard deviation data of the flow for each working node.

[0023] The flow setpoint data corresponding to each time monitoring point is obtained, and the actual flow value data is processed to obtain the flow deviation value data corresponding to each time monitoring point.

[0024] The flow adjustment resolution data corresponding to each working node is obtained, and the flow standard deviation data and flow deviation value data are processed to obtain the flow stability index corresponding to each working node.

[0025] Optionally, in the hydraulic control method for power grid construction equipment described in this application, the step of acquiring the design characteristic data of the target power grid construction equipment and processing it to obtain the equipment reliability index includes:

[0026] Obtain the design characteristic data of the target power grid construction equipment, including maximum working pressure data, pressure safety factor data, minimum stable flow rate data, and oil temperature control accuracy data;

[0027] The equipment reliability index is obtained by processing the maximum working pressure data, pressure safety factor data, minimum stable flow rate data, and oil temperature control accuracy data.

[0028] Optionally, in the hydraulic control method for power grid construction equipment described in this application, the step of processing the hydraulic control comprehensive evaluation index based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, and adjusting the hydraulic system of the target power grid construction equipment accordingly, includes:

[0029] Based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, a comprehensive hydraulic control evaluation index is obtained.

[0030] The threshold comparison result is obtained by comparing the hydraulic control comprehensive evaluation index with the preset hydraulic control comprehensive evaluation threshold.

[0031] The hydraulic system of the target power grid construction equipment is adjusted accordingly based on the threshold comparison results.

[0032] Secondly, this application provides a hydraulic control system for power grid construction equipment. The system includes a memory and a processor. The memory includes a program for a hydraulic control method for power grid construction equipment. When the program for the hydraulic control method is executed by the processor, it implements the following steps:

[0033] Collect operational monitoring information of the target power grid construction equipment in the preset work area, and extract operational characteristic data corresponding to multiple work nodes, including the working height characteristic data and load data of the target power grid construction equipment, as well as the actual pressure, flow, displacement and temperature data of the hydraulic system at multiple time monitoring points corresponding to each work node;

[0034] The equipment load compensation factor is obtained by processing the operating height characteristic data and load data.

[0035] Pressure characteristic data is extracted from the actual pressure value data and processed to obtain the pressure response index;

[0036] Based on the actual traffic data, traffic characteristic data is extracted and processed to obtain the traffic stability index;

[0037] Obtain displacement accuracy characteristic data, and process it in conjunction with the actual displacement value data to obtain the displacement sensitivity index;

[0038] Temperature characteristic data is extracted from the actual temperature data and processed to obtain the temperature adaptability index;

[0039] The design characteristic data of the target power grid construction equipment is obtained and processed to obtain the equipment reliability index;

[0040] Based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, a comprehensive hydraulic control evaluation index is obtained, and the hydraulic system of the target power grid construction equipment is adjusted accordingly.

[0041] Optionally, in the hydraulic control system for power grid construction equipment described in this application, the step of processing the working height characteristic data and load data to obtain the equipment load compensation factor includes:

[0042] The operation height feature data includes the actual operation height data and the corresponding operation height set value data for each operation node, and further extracts the operation height deviation value data for each operation node.

[0043] The equipment load compensation factor for each working node is obtained by processing the work height deviation data and load data.

[0044] Optionally, in the hydraulic control system for power grid construction equipment described in this application, the step of extracting pressure characteristic data based on the actual pressure value data and processing it to obtain a pressure response index includes:

[0045] The actual pressure values ​​corresponding to multiple time monitoring points of each working node are extracted and processed to obtain the pressure range data corresponding to each working node.

[0046] Obtain the pressure setpoint data corresponding to each time monitoring point, and process it in combination with the actual pressure value data to obtain the pressure deviation value data corresponding to each time monitoring point.

[0047] The pressure response speed data corresponding to each working node is obtained, and the pressure range value data and pressure deviation value data are processed to obtain the pressure response index corresponding to each working node.

[0048] Optionally, in the hydraulic control system for power grid construction equipment described in this application, the step of extracting flow characteristic data based on the actual flow value data and processing it to obtain the flow stability index includes:

[0049] The actual flow data corresponding to multiple time monitoring points of each working node are extracted and processed to obtain the standard deviation data of the flow for each working node.

[0050] The flow setpoint data corresponding to each time monitoring point is obtained, and the actual flow value data is processed to obtain the flow deviation value data corresponding to each time monitoring point.

[0051] The flow adjustment resolution data corresponding to each working node is obtained, and the flow standard deviation data and flow deviation value data are processed to obtain the flow stability index corresponding to each working node.

[0052] As can be seen from the above, the hydraulic control method and system for power grid construction equipment provided in this application collects operational monitoring information of the target power grid construction equipment in a preset work area and extracts operational characteristic data corresponding to multiple work nodes, including the target power grid construction equipment's working height characteristic data, load data, and the actual pressure, flow, displacement, and temperature data of the hydraulic system at multiple time monitoring points corresponding to each work node. Based on the working height characteristic data and load data, the system processes the data to obtain the equipment load compensation factor. Based on the actual pressure data, it extracts pressure characteristic data, processes it to obtain the pressure response index, and based on the actual flow... The process involves extracting flow characteristic data, processing it to obtain a flow stability index, acquiring displacement accuracy characteristic data, processing it in conjunction with actual displacement value data to obtain a displacement sensitivity index, extracting temperature characteristic data from actual temperature value data, processing it to obtain a temperature adaptability index, acquiring design characteristic data of the target power grid construction equipment, processing it to obtain an equipment reliability index, and processing it in conjunction with the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index to obtain a comprehensive hydraulic control evaluation index. The hydraulic system of the target power grid construction equipment is then adjusted accordingly, thereby realizing the hydraulic control technology for power grid construction equipment.

[0053] Other features and advantages of this application will be set forth in the following description and will be apparent in part from the description or may be learned by practicing embodiments of this application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings. Attached Figure Description

[0054] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0055] Figure 1 A flowchart of a hydraulic control method for power grid construction equipment provided in an embodiment of this application;

[0056] Figure 2 A flowchart illustrating the method for obtaining the equipment load compensation factor in the hydraulic control method for power grid construction equipment provided in this application embodiment;

[0057] Figure 3 A flowchart illustrating the process of obtaining the pressure response index in the hydraulic control method for power grid construction equipment provided in this application embodiment;

[0058] Figure 4 A flowchart illustrating the process of obtaining the flow stability index in the hydraulic control method for power grid construction equipment provided in this application embodiment. Detailed Implementation

[0059] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0060] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0061] Please refer to Figure 1 , Figure 1 This is a flowchart of a hydraulic control method for power grid construction equipment according to some embodiments of this application. This hydraulic control method for power grid construction equipment is used in terminal equipment, such as computers and mobile terminals. The hydraulic control method for power grid construction equipment includes the following steps:

[0062] S11. Collect the operation monitoring information of the target power grid construction equipment in the preset operation area, and extract the operation characteristic data corresponding to multiple work nodes, including the operation height characteristic data and load data of the target power grid construction equipment, as well as the actual pressure data, actual flow data, actual displacement data and actual temperature data of the hydraulic system at multiple time monitoring points corresponding to each work node.

[0063] S12. Process the working height characteristic data and load data to obtain the equipment load compensation factor;

[0064] S13. Extract pressure characteristic data based on the actual pressure value data, and process it to obtain the pressure response index;

[0065] S14. Extract traffic characteristic data based on the actual traffic value data, and process it to obtain the traffic stability index;

[0066] S15. Obtain displacement accuracy characteristic data, and process it in conjunction with the actual displacement value data to obtain the displacement sensitivity index.

[0067] S16. Extract temperature characteristic data based on the actual temperature value data, and process it to obtain the temperature adaptability index;

[0068] S17. Obtain the design characteristic data of the target power grid construction equipment and process it to obtain the equipment reliability index;

[0069] S18. Based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, a comprehensive hydraulic control evaluation index is obtained, and the hydraulic system of the target power grid construction equipment is adjusted accordingly.

[0070] It should be noted that with the continuous development of power grid construction, the performance requirements for power grid construction equipment are also increasing. Traditional hydraulic control systems for power grid construction equipment suffer from problems such as low control accuracy, slow response speed, and poor reliability. Therefore, it is necessary to study a hydraulic control method for power grid construction equipment that can automatically adjust hydraulic parameters according to different working states of the equipment, thereby achieving efficient and precise construction operations. Firstly, operational monitoring information of the target power grid construction equipment in a preset work area is collected. In this embodiment, the preset work area is the tower work area. Operational characteristic data corresponding to multiple work nodes are extracted, including the working height characteristic data and load data corresponding to each work node of the target power grid construction equipment, as well as the actual pressure, flow rate, displacement, and temperature data of the hydraulic system at multiple time monitoring points corresponding to each work node. Based on the operation height characteristic data and load data, the equipment load compensation factor is obtained. Pressure characteristic data is extracted from the actual pressure value data and processed to obtain the pressure response index. Flow characteristic data is extracted from the actual flow rate data and processed to obtain the flow stability index. Displacement accuracy characteristic data is obtained and processed in conjunction with the actual displacement value data to obtain the displacement sensitivity index. Temperature characteristic data is extracted from the actual temperature value data and processed to obtain the temperature adaptability index. Design characteristic data of the target power grid construction equipment is obtained and processed to obtain the equipment reliability index. Based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, a comprehensive hydraulic control evaluation index is obtained. The hydraulic system of the target power grid construction equipment is then adjusted accordingly, thereby realizing the hydraulic control technology for power grid construction equipment.

[0071] Please refer to Figure 2 , Figure 2This is a flowchart illustrating the process of obtaining an equipment load compensation factor in a hydraulic control method for power grid construction equipment according to some embodiments of this application. According to an embodiment of the present invention, the step of processing the working height characteristic data and load data to obtain the equipment load compensation factor includes:

[0072] S21. The working height feature data includes the actual working height data and the corresponding working height set value data for each working node, and further extracts the working height deviation value data for each working node.

[0073] S22. Process the work height deviation data and load data to obtain the equipment load compensation factor corresponding to each work node.

[0074] It should be noted that in this embodiment, when the power grid construction equipment is carrying out construction work in the tower operation area, the equipment will have a corresponding operation height and a load at each operation node. By comparing the actual value of each height with the height setting value, the height deviation value can be obtained. Then, by combining it with the corresponding load, the equipment load compensation factor of the equipment can be obtained.

[0075] The formula for calculating the equipment load compensation factor is as follows:

[0076] H fi =σ i b gi o pi lnb gi o pi ;

[0077] Among them, H fi Let b be the equipment load compensation factor corresponding to the i-th working node out of n working nodes. gi o pi For the load data and working height deviation value corresponding to the i-th working node out of n working nodes, σ i These are preset characteristic coefficients (obtained by querying the preset hydraulic control monitoring platform).

[0078] Please refer to Figure 3 , Figure 3 This is a flowchart illustrating the process of obtaining a pressure response index in a hydraulic control method for power grid construction equipment according to some embodiments of this application. According to an embodiment of the present invention, the step of extracting pressure characteristic data based on the actual pressure value data and processing it to obtain the pressure response index includes:

[0079] S31. Extract and process the actual pressure data corresponding to multiple time monitoring points of each working node to obtain the pressure range data corresponding to each working node.

[0080] S32. Obtain the pressure setpoint data corresponding to each time monitoring point, and process it in combination with the actual pressure value data to obtain the pressure deviation value data corresponding to each time monitoring point.

[0081] S33. Obtain the pressure response speed data corresponding to each working node, and process it in combination with the pressure range data and pressure deviation data to obtain the pressure response index corresponding to each working node.

[0082] It should be noted that when the power grid construction equipment is performing construction operations at each work node, the pressure of the hydraulic system will be adjusted according to the actual needs of the equipment. Therefore, in order to better monitor the pressure changes of the hydraulic control system, it is necessary to monitor each work node at multiple time points and extract pressure characteristic data, including the pressure deviation value at each time monitoring point, the pressure range value and pressure response speed at each work node, and further process them to obtain the pressure response index of the hydraulic control system at each work node.

[0083] The formula for calculating the pressure response index is as follows:

[0084]

[0085] Among them, Y li p is the pressure response index corresponding to the i-th working node out of n working nodes. ci i xi These are the pressure response rate data and pressure range data corresponding to the i-th working node among n working nodes, u zj For the pressure deviation value data corresponding to the j-th time monitoring point among the m time monitoring points in the i-th working node, ε i α i These are preset characteristic coefficients (obtained by querying the preset hydraulic control monitoring platform).

[0086] Please refer to Figure 4 , Figure 4 This is a flowchart illustrating the process of obtaining a flow stability index using a hydraulic control method for power grid construction equipment in some embodiments of this application. According to an embodiment of the present invention, the step of extracting flow characteristic data based on the actual flow value data and processing it to obtain the flow stability index includes:

[0087] S41. Extract and process the actual flow data corresponding to multiple time monitoring points of each working node to obtain the standard deviation data of the flow for each working node.

[0088] S42. Obtain the flow setpoint data corresponding to each time monitoring point, and process it in combination with the actual flow value data to obtain the flow deviation value data corresponding to each time monitoring point.

[0089] S43. Obtain the flow adjustment resolution data corresponding to each working node, and process it in combination with the flow standard deviation data and flow deviation value data to obtain the flow stability index corresponding to each working node.

[0090] It should be noted that when the power grid construction equipment is performing construction operations at each work node, the flow rate of the hydraulic system will also change according to the actual needs of the equipment. Therefore, in order to better monitor the flow rate changes of the hydraulic control system, it is necessary to monitor each work node at multiple time points and extract flow characteristic data, including the flow rate deviation value at each time monitoring point, as well as the flow rate standard deviation and flow rate adjustment resolution of each work node. Further comprehensive processing is then performed to obtain the flow rate stability index of the hydraulic control system at each work node.

[0091] The formula for calculating the flow stability index is as follows:

[0092]

[0093] Among them, L wi Let q be the traffic stability index corresponding to the i-th working node out of n working nodes. ai y si Let t be the flow regulation resolution data and flow standard deviation data corresponding to the i-th working node among n working nodes. vj For the j-th corresponding flow deviation value among the m time monitoring points in the i-th working node, β i δ 1i δ 2j These are preset characteristic coefficients (obtained by querying the preset hydraulic control monitoring platform).

[0094] According to an embodiment of the present invention, the step of obtaining the design characteristic data of the target power grid construction equipment and processing it to obtain the equipment reliability index includes:

[0095] Obtain the design characteristic data of the target power grid construction equipment, including maximum working pressure data, pressure safety factor data, minimum stable flow rate data, and oil temperature control accuracy data;

[0096] The equipment reliability index is obtained by processing the maximum working pressure data, pressure safety factor data, minimum stable flow rate data, and oil temperature control accuracy data.

[0097] It should be noted that the design characteristics of the power grid construction equipment itself will also affect the performance of the entire system, including design characteristic data such as maximum working pressure, pressure safety factor, minimum stable flow rate, and oil temperature control accuracy. By processing the above data, the equipment reliability index can be obtained.

[0098] The formula for calculating the equipment reliability index is as follows:

[0099]

[0100] Among them, S b e is the equipment reliability index. c r v z p x k These are, respectively, the maximum working pressure data, pressure safety factor data, oil temperature control accuracy data, and minimum stable flow rate data, λ1, λ2, and λ3. These are preset characteristic coefficients (obtained by querying the preset hydraulic control monitoring platform).

[0101] According to an embodiment of the present invention, the step of processing the hydraulic control comprehensive evaluation index based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, and adjusting the hydraulic system of the target power grid construction equipment accordingly includes:

[0102] Based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, a comprehensive hydraulic control evaluation index is obtained.

[0103] The threshold comparison result is obtained by comparing the hydraulic control comprehensive evaluation index with the preset hydraulic control comprehensive evaluation threshold.

[0104] The hydraulic system of the target power grid construction equipment is adjusted accordingly based on the threshold comparison results.

[0105] It should be noted that the performance of the system needs to be evaluated by comprehensively assessing the entire power grid construction equipment. Therefore, it is necessary to aggregate the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index corresponding to each working node, and combine them with the equipment reliability index to obtain the comprehensive evaluation index of hydraulic control. This index is then compared with the preset value. Based on the comparison results, the control performance of the hydraulic system of the power grid construction equipment is judged, and corresponding adjustments are made.

[0106] The formula for calculating the comprehensive evaluation index of hydraulic control is as follows:

[0107]

[0108] Among them, Z h H is the comprehensive evaluation index for hydraulic control. fi Y li L wi W yi D xi Let S represent the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index corresponding to the i-th working node among n working nodes. b μ is the equipment reliability index. i τ i These are preset characteristic coefficients (obtained by querying the preset hydraulic control monitoring platform).

[0109] According to an embodiment of the present invention, it further includes:

[0110] The process of acquiring displacement accuracy characteristic data and combining it with the actual displacement value data to obtain the displacement sensitivity index specifically includes:

[0111] Acquire displacement accuracy characteristic data, including displacement repeatability accuracy data and displacement velocity control accuracy data;

[0112] Obtain the displacement setpoint data corresponding to each time monitoring point, and process it in combination with the actual displacement value data to obtain the displacement deviation value data corresponding to each time monitoring point.

[0113] Based on the displacement repeatability accuracy data and displacement velocity control accuracy data, and combined with the displacement deviation value data, the displacement sensitivity index is obtained through processing.

[0114] The formula for calculating the displacement sensitivity index is as follows:

[0115]

[0116] Among them, W yi Let s be the displacement sensitivity index corresponding to the i-th working node out of n working nodes. e d r These are displacement repeatability accuracy data and displacement velocity control accuracy data, respectively. tj For the displacement deviation value data corresponding to the j-th time monitoring point among the m time monitoring points in the i-th working node, γ 1i γ 2i η i These are preset characteristic coefficients (obtained by querying the preset hydraulic control monitoring platform).

[0117] It should be noted that many operations in power grid construction equipment involve displacement control of actuators. When power grid construction equipment performs construction work at each work node, the displacement of the actuators in the hydraulic system will also change according to the actual needs of the equipment. Therefore, in order to better monitor the displacement changes of the actuators in the hydraulic control system, it is necessary to monitor each work node at multiple time points and extract the displacement deviation value at each time monitoring point. At the same time, the displacement repeatability accuracy data and displacement speed control accuracy data are combined and processed to obtain the displacement sensitivity index of the hydraulic control system at each work node.

[0118] According to an embodiment of the present invention, it further includes:

[0119] The step of extracting temperature characteristic data based on the actual temperature value data and processing it to obtain a temperature adaptability index specifically includes:

[0120] The actual temperature data corresponding to multiple time monitoring points of each working node are extracted and processed to obtain the oil temperature change rate data corresponding to each working node;

[0121] The temperature setpoint data corresponding to each time monitoring point is obtained, and the actual temperature value data is processed to obtain the temperature deviation value data corresponding to each time monitoring point.

[0122] The temperature adaptability index is obtained by processing the oil temperature change rate data and temperature deviation value data.

[0123] The formula for calculating the temperature adaptability index is as follows:

[0124]

[0125] Among them, D xi Let g be the temperature adaptability index corresponding to the i-th working node out of n working nodes. ui For the oil temperature change rate data corresponding to the i-th working node out of n working nodes, k aj For the temperature deviation value data corresponding to the j-th time monitoring point among the m time monitoring points in the i-th working node, ω i , χ j These are preset characteristic coefficients (obtained by querying the preset hydraulic control monitoring platform).

[0126] It should be noted that when power grid construction equipment is performing construction operations at each work node, the oil temperature of the hydraulic system will also change accordingly. The oil temperature change will affect the system performance. Therefore, in order to better monitor the oil temperature change of the hydraulic control system, it is necessary to monitor each work node at multiple time points and extract temperature characteristic data, including the temperature deviation data of each time monitoring point and the oil temperature change rate data of each work node. Further comprehensive processing is required to obtain the temperature adaptability index of the hydraulic control system at each work node.

[0127] According to an embodiment of the present invention, it further includes:

[0128] Real-time monitoring of the operation information of the target power grid construction equipment in the preset work area, and collection of hydraulic oil status information;

[0129] Hydraulic oil characteristic data are extracted based on the status information, including real-time hydraulic oil temperature data, real-time hydraulic oil cleanliness data, and real-time hydraulic oil viscosity data.

[0130] The hydraulic oil abnormality index is obtained by processing the real-time hydraulic oil temperature data, real-time hydraulic oil cleanliness data, and real-time hydraulic oil viscosity data.

[0131] The comparison result is obtained by comparing the hydraulic oil abnormality index with the preset hydraulic oil abnormality threshold;

[0132] Based on the comparison results, determine whether there are any abnormalities in the target power grid construction equipment and obtain the corresponding preset processing solutions;

[0133] The formula for calculating the hydraulic oil abnormality index is as follows:

[0134]

[0135] Among them, V s h is the hydraulic oil abnormality index. T n D m E These are real-time hydraulic oil temperature data, real-time hydraulic oil cleanliness data, and real-time hydraulic oil viscosity data, respectively. π1, π2, and π3 are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset hydraulic control monitoring platform).

[0136] It should be noted that real-time monitoring of the hydraulic oil status can determine the system status by judging abnormal conditions of the hydraulic oil. For example, if the oil temperature is not within the reasonable range, the impurity content of the hydraulic oil is high, or the viscosity of the hydraulic oil is not within the reasonable range, the system status may be abnormal. Therefore, by processing hydraulic oil temperature data, real-time hydraulic oil cleanliness data, and real-time hydraulic oil viscosity data, a hydraulic oil abnormality index is obtained. This index is then used to determine whether there are any abnormalities in the target power grid construction equipment and to obtain the corresponding preset handling plan for appropriate processing.

[0137] Secondly, the present invention also discloses a hydraulic control system for power grid construction equipment, including a memory and a processor. The memory includes a hydraulic control method program for power grid construction equipment, which, when executed by the processor, performs the following steps:

[0138] Collect operational monitoring information of the target power grid construction equipment in the preset work area, and extract operational characteristic data corresponding to multiple work nodes, including the working height characteristic data and load data of the target power grid construction equipment, as well as the actual pressure, flow, displacement and temperature data of the hydraulic system at multiple time monitoring points corresponding to each work node;

[0139] The equipment load compensation factor is obtained by processing the operating height characteristic data and load data.

[0140] Pressure characteristic data is extracted from the actual pressure value data and processed to obtain the pressure response index;

[0141] Based on the actual traffic data, traffic characteristic data is extracted and processed to obtain the traffic stability index;

[0142] Obtain displacement accuracy characteristic data, and process it in conjunction with the actual displacement value data to obtain the displacement sensitivity index;

[0143] Temperature characteristic data is extracted from the actual temperature data and processed to obtain the temperature adaptability index;

[0144] The design characteristic data of the target power grid construction equipment is obtained and processed to obtain the equipment reliability index;

[0145] Based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, a comprehensive hydraulic control evaluation index is obtained, and the hydraulic system of the target power grid construction equipment is adjusted accordingly.

[0146] It should be noted that with the continuous development of power grid construction, the performance requirements for power grid construction equipment are also increasing. Traditional hydraulic control systems for power grid construction equipment suffer from low control accuracy, slow response speed, and poor reliability. Therefore, it is necessary to research a hydraulic control method for power grid construction equipment that can automatically adjust hydraulic parameters according to different working states of the equipment, achieving efficient and precise construction operations. Firstly, operational monitoring information of the target power grid construction equipment in a preset work area is collected. In this embodiment, the preset work area is the tower work area. Operational characteristic data corresponding to multiple work nodes are extracted, including the working height characteristic data and load data corresponding to each work node of the target power grid construction equipment, as well as the actual pressure, flow, displacement, and temperature data of the hydraulic system at multiple time monitoring points corresponding to each work node. Based on the working height characteristic data and load data... The process involves processing data to obtain equipment load compensation factors, extracting pressure characteristic data from actual pressure values, processing to obtain a pressure response index, extracting flow characteristic data from actual flow values, processing to obtain a flow stability index, acquiring displacement accuracy characteristic data, processing it in conjunction with actual displacement values ​​to obtain a displacement sensitivity index, extracting temperature characteristic data from actual temperature values, processing to obtain a temperature adaptability index, acquiring design characteristic data of the target power grid construction equipment, processing to obtain an equipment reliability index, and processing the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index in conjunction with the equipment reliability index to obtain a comprehensive hydraulic control evaluation index. The hydraulic system of the target power grid construction equipment is then adjusted accordingly, thereby realizing the hydraulic control technology for power grid construction equipment.

[0147] According to an embodiment of the present invention, the step of processing the working height characteristic data and load data to obtain the equipment load compensation factor includes:

[0148] The operation height feature data includes the actual operation height data and the corresponding operation height set value data for each operation node, and further extracts the operation height deviation value data for each operation node.

[0149] The equipment load compensation factor for each working node is obtained by processing the work height deviation data and load data.

[0150] It should be noted that in this embodiment, when the power grid construction equipment is carrying out construction work in the tower operation area, the equipment will have a corresponding operation height and a load at each operation node. By comparing the actual value of each height with the height setting value, the height deviation value can be obtained. Then, by combining it with the corresponding load, the equipment load compensation factor of the equipment can be obtained.

[0151] The formula for calculating the equipment load compensation factor is as follows:

[0152] H fi =σ i b gi o pi lnb gi o pi ;

[0153] Among them, H fi Let b be the equipment load compensation factor corresponding to the i-th working node out of n working nodes. gi o pi For the load data and working height deviation value corresponding to the i-th working node out of n working nodes, σ i These are preset characteristic coefficients (obtained by querying the preset hydraulic control monitoring platform).

[0154] According to an embodiment of the present invention, the step of extracting pressure characteristic data based on the actual pressure value data and processing it to obtain a pressure response index includes:

[0155] The actual pressure values ​​corresponding to multiple time monitoring points of each working node are extracted and processed to obtain the pressure range data corresponding to each working node.

[0156] Obtain the pressure setpoint data corresponding to each time monitoring point, and process it in combination with the actual pressure value data to obtain the pressure deviation value data corresponding to each time monitoring point.

[0157] The pressure response speed data corresponding to each working node is obtained, and the pressure range value data and pressure deviation value data are processed to obtain the pressure response index corresponding to each working node.

[0158] It should be noted that when the power grid construction equipment is performing construction operations at each work node, the pressure of the hydraulic system will be adjusted according to the actual needs of the equipment. Therefore, in order to better monitor the pressure changes of the hydraulic control system, it is necessary to monitor each work node at multiple time points and extract pressure characteristic data, including the pressure deviation value at each time monitoring point, the pressure range value and pressure response speed at each work node, and further process them to obtain the pressure response index of the hydraulic control system at each work node.

[0159] The formula for calculating the pressure response index is as follows:

[0160]

[0161] Among them, Y lip is the pressure response index corresponding to the i-th working node out of n working nodes. ci i xi These are the pressure response rate data and pressure range data corresponding to the i-th working node among n working nodes, u zj For the pressure deviation value data corresponding to the j-th time monitoring point among the m time monitoring points in the i-th working node, ε i α i These are preset characteristic coefficients (obtained by querying the preset hydraulic control monitoring platform).

[0162] According to an embodiment of the present invention, the step of extracting traffic characteristic data based on the actual traffic value data and processing it to obtain a traffic stability index includes:

[0163] The actual flow data corresponding to multiple time monitoring points of each working node are extracted and processed to obtain the standard deviation data of the flow for each working node.

[0164] The flow setpoint data corresponding to each time monitoring point is obtained, and the actual flow value data is processed to obtain the flow deviation value data corresponding to each time monitoring point.

[0165] The flow adjustment resolution data corresponding to each working node is obtained, and the flow standard deviation data and flow deviation value data are processed to obtain the flow stability index corresponding to each working node.

[0166] It should be noted that when the power grid construction equipment is performing construction operations at each work node, the flow rate of the hydraulic system will also change according to the actual needs of the equipment. Therefore, in order to better monitor the flow rate changes of the hydraulic control system, it is necessary to monitor each work node at multiple time points and extract flow characteristic data, including the flow rate deviation value at each time monitoring point, as well as the flow rate standard deviation and flow rate adjustment resolution of each work node. Further comprehensive processing is then performed to obtain the flow rate stability index of the hydraulic control system at each work node.

[0167] The formula for calculating the flow stability index is as follows:

[0168]

[0169] Among them, L wi Let q be the traffic stability index corresponding to the i-th working node out of n working nodes. ai y si Let t be the flow regulation resolution data and flow standard deviation data corresponding to the i-th working node among n working nodes. vj For the j-th corresponding flow deviation value among the m time monitoring points in the i-th working node, βi δ 1i δ 2j These are preset characteristic coefficients (obtained by querying the preset hydraulic control monitoring platform).

[0170] According to an embodiment of the present invention, the step of obtaining the design characteristic data of the target power grid construction equipment and processing it to obtain the equipment reliability index includes:

[0171] Obtain the design characteristic data of the target power grid construction equipment, including maximum working pressure data, pressure safety factor data, minimum stable flow rate data, and oil temperature control accuracy data;

[0172] The equipment reliability index is obtained by processing the maximum working pressure data, pressure safety factor data, minimum stable flow rate data, and oil temperature control accuracy data.

[0173] It should be noted that the design characteristics of the power grid construction equipment itself will also affect the performance of the entire system, including design characteristic data such as maximum working pressure, pressure safety factor, minimum stable flow rate, and oil temperature control accuracy. By processing the above data, the equipment reliability index can be obtained.

[0174] The formula for calculating the equipment reliability index is as follows:

[0175]

[0176] Among them, S b e is the equipment reliability index. c r v z p x k These are, respectively, the maximum working pressure data, pressure safety factor data, oil temperature control accuracy data, and minimum stable flow rate data, λ1, λ2, and λ3. These are preset characteristic coefficients (obtained by querying the preset hydraulic control monitoring platform).

[0177] According to an embodiment of the present invention, the step of processing the hydraulic control comprehensive evaluation index based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, and adjusting the hydraulic system of the target power grid construction equipment accordingly includes:

[0178] Based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, a comprehensive hydraulic control evaluation index is obtained.

[0179] The threshold comparison result is obtained by comparing the hydraulic control comprehensive evaluation index with the preset hydraulic control comprehensive evaluation threshold.

[0180] The hydraulic system of the target power grid construction equipment is adjusted accordingly based on the threshold comparison results.

[0181] It should be noted that the performance of the system needs to be evaluated by comprehensively assessing the entire power grid construction equipment. Therefore, it is necessary to aggregate the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index corresponding to each working node, and combine them with the equipment reliability index to obtain the comprehensive evaluation index of hydraulic control. This index is then compared with the preset value. Based on the comparison results, the control performance of the hydraulic system of the power grid construction equipment is judged, and corresponding adjustments are made.

[0182] The formula for calculating the comprehensive evaluation index of hydraulic control is as follows:

[0183]

[0184] Among them, Z h H is the comprehensive evaluation index for hydraulic control. fi Y li L wi W yi D xi Let S represent the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index corresponding to the i-th working node among n working nodes. b μ is the equipment reliability index. i τ i These are preset characteristic coefficients (obtained by querying the preset hydraulic control monitoring platform).

[0185] According to an embodiment of the present invention, it further includes:

[0186] The process of acquiring displacement accuracy characteristic data and combining it with the actual displacement value data to obtain the displacement sensitivity index specifically includes:

[0187] Acquire displacement accuracy characteristic data, including displacement repeatability accuracy data and displacement velocity control accuracy data;

[0188] Obtain the displacement setpoint data corresponding to each time monitoring point, and process it in combination with the actual displacement value data to obtain the displacement deviation value data corresponding to each time monitoring point.

[0189] Based on the displacement repeatability accuracy data and displacement velocity control accuracy data, and combined with the displacement deviation value data, the displacement sensitivity index is obtained through processing.

[0190] The formula for calculating the displacement sensitivity index is as follows:

[0191]

[0192] Among them, W yi Let s be the displacement sensitivity index corresponding to the i-th working node out of n working nodes. e d r These are displacement repeatability accuracy data and displacement velocity control accuracy data, respectively. tj For the displacement deviation value data corresponding to the j-th time monitoring point among the m time monitoring points in the i-th working node, γ 1i γ 2i η i These are preset characteristic coefficients (obtained by querying the preset hydraulic control monitoring platform).

[0193] It should be noted that many operations in power grid construction equipment involve displacement control of actuators. When power grid construction equipment performs construction work at each work node, the displacement of the actuators in the hydraulic system will also change according to the actual needs of the equipment. Therefore, in order to better monitor the displacement changes of the actuators in the hydraulic control system, it is necessary to monitor each work node at multiple time points and extract the displacement deviation value at each time monitoring point. At the same time, the displacement repeatability accuracy data and displacement speed control accuracy data are combined and processed to obtain the displacement sensitivity index of the hydraulic control system at each work node.

[0194] According to an embodiment of the present invention, it further includes:

[0195] The step of extracting temperature characteristic data based on the actual temperature value data and processing it to obtain a temperature adaptability index specifically includes:

[0196] The actual temperature data corresponding to multiple time monitoring points of each working node are extracted and processed to obtain the oil temperature change rate data corresponding to each working node;

[0197] The temperature setpoint data corresponding to each time monitoring point is obtained, and the actual temperature value data is processed to obtain the temperature deviation value data corresponding to each time monitoring point.

[0198] The temperature adaptability index is obtained by processing the oil temperature change rate data and temperature deviation value data.

[0199] The formula for calculating the temperature adaptability index is as follows:

[0200]

[0201] Among them, D xiLet g be the temperature adaptability index corresponding to the i-th working node out of n working nodes. ui For the oil temperature change rate data corresponding to the i-th working node out of n working nodes, k aj For the temperature deviation value data corresponding to the j-th time monitoring point among the m time monitoring points in the i-th working node, ω i , χ j These are preset characteristic coefficients (obtained by querying the preset hydraulic control monitoring platform).

[0202] It should be noted that when power grid construction equipment is performing construction operations at each work node, the oil temperature of the hydraulic system will also change accordingly. The oil temperature change will affect the system performance. Therefore, in order to better monitor the oil temperature change of the hydraulic control system, it is necessary to monitor each work node at multiple time points and extract temperature characteristic data, including the temperature deviation data of each time monitoring point and the oil temperature change rate data of each work node. Further comprehensive processing is required to obtain the temperature adaptability index of the hydraulic control system at each work node.

[0203] According to an embodiment of the present invention, it further includes:

[0204] Real-time monitoring of the operation information of the target power grid construction equipment in the preset work area, and collection of hydraulic oil status information;

[0205] Hydraulic oil characteristic data are extracted based on the status information, including real-time hydraulic oil temperature data, real-time hydraulic oil cleanliness data, and real-time hydraulic oil viscosity data.

[0206] The hydraulic oil abnormality index is obtained by processing the real-time hydraulic oil temperature data, real-time hydraulic oil cleanliness data, and real-time hydraulic oil viscosity data.

[0207] The comparison result is obtained by comparing the hydraulic oil abnormality index with the preset hydraulic oil abnormality threshold;

[0208] Based on the comparison results, determine whether there are any abnormalities in the target power grid construction equipment and obtain the corresponding preset processing solutions;

[0209] The formula for calculating the hydraulic oil abnormality index is as follows:

[0210]

[0211] Among them, V s h is the hydraulic oil abnormality index. T n D m EThese are real-time hydraulic oil temperature data, real-time hydraulic oil cleanliness data, and real-time hydraulic oil viscosity data, respectively. π1, π2, and π3 are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset hydraulic control monitoring platform).

[0212] It should be noted that real-time monitoring of the hydraulic oil status can determine the system status by judging abnormal conditions of the hydraulic oil. For example, if the oil temperature is not within the reasonable range, the impurity content of the hydraulic oil is high, or the viscosity of the hydraulic oil is not within the reasonable range, the system status may be abnormal. Therefore, by processing hydraulic oil temperature data, real-time hydraulic oil cleanliness data, and real-time hydraulic oil viscosity data, a hydraulic oil abnormality index is obtained. This index is then used to determine whether there are any abnormalities in the target power grid construction equipment and to obtain the corresponding preset handling plan for appropriate processing.

[0213] The hydraulic control method and system for power grid construction equipment disclosed in this invention collects operational monitoring information of the target power grid construction equipment in a preset work area and extracts operational characteristic data corresponding to multiple work nodes, including the target power grid construction equipment's working height characteristic data, load data, and actual pressure, flow, displacement, and temperature data of the hydraulic system at multiple time monitoring points corresponding to each work node. Based on the working height characteristic data and load data, an equipment load compensation factor is obtained. Pressure characteristic data is extracted from the actual pressure data and processed to obtain a pressure response index. Flow characteristic data is extracted from the actual flow data and processed to obtain a flow stability index. Displacement accuracy characteristic data is obtained and processed in conjunction with the actual displacement data to obtain a displacement sensitivity index. Temperature characteristic data is extracted from the actual temperature data and processed to obtain a temperature adaptability index. Design characteristic data of the target power grid construction equipment is obtained and processed to obtain an equipment reliability index. Based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, a comprehensive hydraulic control evaluation index is obtained. The hydraulic system of the target power grid construction equipment is then adjusted accordingly, thereby realizing the hydraulic control technology for power grid construction equipment.

[0214] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0215] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0216] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0217] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0218] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

Claims

1. A hydraulic control method for power grid construction equipment, characterized in that, Includes the following steps: Collect operational monitoring information of the target power grid construction equipment in the preset work area, and extract operational characteristic data corresponding to multiple work nodes, including the working height characteristic data and load data of the target power grid construction equipment, as well as the actual pressure, flow, displacement and temperature data of the hydraulic system at multiple time monitoring points corresponding to each work node; The equipment load compensation factor is obtained by processing the operating height characteristic data and load data. Pressure characteristic data is extracted from the actual pressure value data and processed to obtain the pressure response index; Based on the actual traffic data, traffic characteristic data is extracted and processed to obtain the traffic stability index; Obtain displacement accuracy characteristic data, and process it in conjunction with the actual displacement value data to obtain the displacement sensitivity index; Temperature characteristic data is extracted based on the actual temperature data, and the temperature adaptability index is obtained through processing. Obtain the design characteristic data of the target power grid construction equipment and process it to obtain the equipment reliability index; Based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, a comprehensive hydraulic control evaluation index is obtained, and the hydraulic system of the target power grid construction equipment is adjusted accordingly. The step of processing the work height characteristic data and load data to obtain the equipment load compensation factor includes: The operation height feature data includes the actual operation height data and the corresponding operation height set value data for each operation node, and further extracts the operation height deviation value data for each operation node. The equipment load compensation factor corresponding to each working node is obtained by processing the work height deviation value data and load data. The step of extracting pressure characteristic data based on the actual pressure value data and processing it to obtain the pressure response index includes: The actual pressure values ​​corresponding to multiple time monitoring points of each working node are extracted and processed to obtain the pressure range data corresponding to each working node. Obtain the pressure setpoint data corresponding to each time monitoring point, and process it in combination with the actual pressure value data to obtain the pressure deviation value data corresponding to each time monitoring point. The pressure response speed data corresponding to each working node is obtained, and the pressure range value data and pressure deviation value data are processed to obtain the pressure response index corresponding to each working node.

2. The hydraulic control method for power grid construction equipment according to claim 1, characterized in that, The step of extracting traffic characteristic data based on the actual traffic value data and processing it to obtain the traffic stability index includes: The actual flow data corresponding to multiple time monitoring points of each working node are extracted and processed to obtain the standard deviation data of the flow for each working node. Obtain the flow setpoint data corresponding to each time monitoring point, and process it in combination with the actual flow value data to obtain the flow deviation value data corresponding to each time monitoring point. The flow adjustment resolution data corresponding to each working node is obtained, and the flow standard deviation data and flow deviation value data are processed to obtain the flow stability index corresponding to each working node.

3. The hydraulic control method for power grid construction equipment according to claim 2, characterized in that, The process of acquiring the design characteristic data of the target power grid construction equipment and processing it to obtain the equipment reliability index includes: Obtain the design characteristic data of the target power grid construction equipment, including maximum working pressure data, pressure safety factor data, minimum stable flow rate data, and oil temperature control accuracy data; The equipment reliability index is obtained by processing the maximum working pressure data, pressure safety factor data, minimum stable flow rate data, and oil temperature control accuracy data.

4. The hydraulic control method for power grid construction equipment according to claim 3, characterized in that, The process of processing the hydraulic control comprehensive evaluation index based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, and adjusting the hydraulic system of the target power grid construction equipment accordingly includes: Based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, a comprehensive hydraulic control evaluation index is obtained. The threshold comparison result is obtained by comparing the hydraulic control comprehensive evaluation index with the preset hydraulic control comprehensive evaluation threshold. The hydraulic system of the target power grid construction equipment is adjusted accordingly based on the threshold comparison results.

5. A hydraulic control system for power grid construction equipment, characterized in that, The system includes a memory and a processor. The memory contains a program for a hydraulic control method for power grid construction equipment. When the program for the hydraulic control method for power grid construction equipment is executed by the processor, it performs the following steps: Collect operational monitoring information of the target power grid construction equipment in the preset work area, and extract operational characteristic data corresponding to multiple work nodes, including the working height characteristic data and load data of the target power grid construction equipment, as well as the actual pressure, flow, displacement and temperature data of the hydraulic system at multiple time monitoring points corresponding to each work node; The equipment load compensation factor is obtained by processing the operating height characteristic data and load data. Pressure characteristic data is extracted from the actual pressure value data and processed to obtain the pressure response index; Based on the actual traffic data, traffic characteristic data is extracted and processed to obtain the traffic stability index; Obtain displacement accuracy characteristic data, and process it in conjunction with the actual displacement value data to obtain the displacement sensitivity index; Temperature characteristic data is extracted from the actual temperature data and processed to obtain the temperature adaptability index; The design characteristic data of the target power grid construction equipment is obtained and processed to obtain the equipment reliability index; Based on the equipment load compensation factor, pressure response index, flow stability index, displacement sensitivity index, and temperature adaptability index, combined with the equipment reliability index, a comprehensive hydraulic control evaluation index is obtained, and the hydraulic system of the target power grid construction equipment is adjusted accordingly. The step of processing the work height characteristic data and load data to obtain the equipment load compensation factor includes: The operation height feature data includes the actual operation height data and the corresponding operation height set value data for each operation node, and further extracts the operation height deviation value data for each operation node. The equipment load compensation factor corresponding to each working node is obtained by processing the work height deviation value data and load data. The step of extracting pressure characteristic data based on the actual pressure value data and processing it to obtain the pressure response index includes: The actual pressure values ​​corresponding to multiple time monitoring points of each working node are extracted and processed to obtain the pressure range data corresponding to each working node. Obtain the pressure setpoint data corresponding to each time monitoring point, and process it in combination with the actual pressure value data to obtain the pressure deviation value data corresponding to each time monitoring point. The pressure response speed data corresponding to each working node is obtained, and the pressure range value data and pressure deviation value data are processed to obtain the pressure response index corresponding to each working node.

6. The hydraulic control system for power grid construction equipment according to claim 5, characterized in that, The step of extracting traffic characteristic data based on the actual traffic value data and processing it to obtain the traffic stability index includes: The actual flow data corresponding to multiple time monitoring points of each working node are extracted and processed to obtain the standard deviation data of the flow for each working node. Obtain the flow setpoint data corresponding to each time monitoring point, and process it in combination with the actual flow value data to obtain the flow deviation value data corresponding to each time monitoring point. The flow adjustment resolution data corresponding to each working node is obtained, and the flow standard deviation data and flow deviation value data are processed to obtain the flow stability index corresponding to each working node.

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