Computer-based remote intelligent monitoring method and system for hydraulic equipment

Abstract

The present invention discloses a computer-based remote intelligent monitoring method and system for hydraulic equipment, which relates to the technical field of remote monitoring, and includes: evaluating the performance index of the hydraulic components of the hydraulic equipment; evaluating the performance compensation coefficient of the hydraulic components of the hydraulic equipment; using the hydraulic component performance compensation coefficient to compensate for the performance index of the hydraulic components of the hydraulic equipment to obtain the real-time operation status of the hydraulic components of the hydraulic equipment; collecting the operation data of the hydraulic components of the hydraulic equipment under the real-time operation status per unit time, analyzing the deviation trend of the real-time operation data of the hydraulic components, and analyzing the risk probability of the hydraulic components of the hydraulic equipment; judging whether the risk probability of the hydraulic components of the hydraulic equipment is within the range of the abnormal risk threshold value, if not, no response is made, and if so, marking it as a hydraulic equipment to be maintained; the advantages of the present invention are: improving the accuracy and real-time performance of equipment maintenance, and reducing the failure rate and maintenance cost.

Description

Technical Field

[0001] The present invention relates to the field of remote monitoring technology, and in particular to a computer-based remote intelligent monitoring method and system for hydraulic equipment. Background Art

[0002] Remote intelligent monitoring of hydraulic equipment refers to real-time monitoring and management of the status and performance of the hydraulic system through network technology and intelligent sensors. This can include functions such as data acquisition, fault diagnosis, performance analysis and remote control to improve the operating efficiency of equipment and reduce maintenance costs.

[0003] Since the existing remote intelligent monitoring of hydraulic equipment is directly deployed after training the model, the historical operating status of the hydraulic components of the hydraulic equipment and the impact of subsequent execution tasks are ignored, resulting in large errors in the monitored hydraulic equipment and inability to accurately feedback the actual status of the equipment, making the maintenance cost of the hydraulic components of the monitored hydraulic equipment high. Summary of the invention

[0004] In order to solve the above technical problems, a computer-based remote intelligent monitoring method and system for hydraulic equipment are provided. This technical solution solves the above problems.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A computer-based remote intelligent monitoring method for hydraulic equipment includes:

[0007] Obtain historical operating data of several remotely monitored hydraulic equipment, analyze the loss status of hydraulic components of the hydraulic equipment in the historical operating data, and evaluate the performance indicators of hydraulic components of the hydraulic equipment;

[0008] Obtain the task log to be executed of the hydraulic equipment, analyze the hydraulic component requirements of the hydraulic equipment in the task log to be executed, and evaluate the performance compensation coefficient of the hydraulic component of the hydraulic equipment;

[0009] The hydraulic component performance compensation coefficient is used to compensate the hydraulic component performance index of the hydraulic equipment to obtain the real-time operating status of the hydraulic component of the hydraulic equipment;

[0010] Collect the operating data of the hydraulic components of the hydraulic equipment in real-time operation status per unit time, analyze the deviation trend of the real-time operating data of the hydraulic components, and analyze the risk probability of the hydraulic components of the hydraulic equipment;

[0011] Determine whether the risk probability of the hydraulic components of the hydraulic equipment is within the abnormal risk threshold range. If not, do not respond. If yes, mark it as a hydraulic equipment to be maintained.

[0012] The real-time operating status of the hydraulic components of the hydraulic equipment is specifically:

[0013]

[0014] In the formula, It is the real-time operating status indicator of the hydraulic components of hydraulic equipment. It is the performance index of hydraulic components of hydraulic equipment. It is the performance compensation coefficient of hydraulic components of hydraulic equipment.

[0015] Preferably, obtaining historical operation data of several remotely monitored hydraulic equipment, analyzing the loss status of hydraulic components of the hydraulic equipment in the historical operation data, and evaluating the performance indicators of the hydraulic components of the hydraulic equipment specifically include:

[0016] Determining initialization performance of hydraulic components of the hydraulic equipment based on manufacturing parameters of the hydraulic equipment;

[0017] Preprocess the historical operation data of several remotely monitored hydraulic equipment;

[0018] Based on the historical operation data of the hydraulic equipment, the historical execution tasks in the historical operation data of the hydraulic equipment are screened out to obtain the historical execution task operation data of the hydraulic components of the hydraulic equipment;

[0019] According to the historical task execution operation data of the hydraulic component of the hydraulic equipment in the historical operation data of the hydraulic equipment, the operation data is marked according to the operation time of each historical task execution operation data to obtain the historical task execution operation time of the hydraulic component of the hydraulic equipment;

[0020] Based on the historical task execution operation data of the hydraulic components of the hydraulic equipment and the historical task execution operation time of the hydraulic components of the hydraulic equipment, the task execution loss coefficient of the hydraulic components of the hydraulic equipment is evaluated by fitting;

[0021] Based on the historical operation data of the hydraulic equipment, the accumulated working time of the hydraulic components of the hydraulic equipment is obtained to determine the basic loss coefficient of the hydraulic equipment;

[0022] Calculate the performance index of the hydraulic components of the hydraulic equipment based on the initialization performance of the hydraulic components of the hydraulic equipment, the task execution loss coefficient of the hydraulic components of the hydraulic equipment and the basic loss coefficient of the hydraulic equipment;

[0023] The loss coefficient of the hydraulic components of the hydraulic equipment for evaluating the task execution is specifically:

[0024]

[0025] In the formula, is the hydraulic component task loss coefficient of the i-th hydraulic equipment, is the loss value of the k-th historical execution task operation data of the hydraulic component of the hydraulic equipment, is the slope, which indicates the increase in loss per unit of working time. For the The running time of historical execution tasks, is the intercept, indicating that the loss accumulates with the working time;

[0026] The performance index of the hydraulic components of the computing hydraulic equipment is specifically:

[0027]

[0028] In the formula, It is the performance index of hydraulic components of hydraulic equipment. Initializes performance of hydraulic components of hydraulic equipment, is the basic loss coefficient of hydraulic equipment, The accumulated operating hours of hydraulic components of hydraulic equipment.

[0029] Preferably, obtaining the to-be-executed task log of the hydraulic equipment, analyzing the hydraulic component requirements of the hydraulic equipment in the to-be-executed task log, and evaluating the hydraulic component performance compensation coefficient of the hydraulic equipment specifically includes:

[0030] Determine the execution parameters of the tasks to be performed by the hydraulic components of the hydraulic equipment based on the hydraulic component requirements of the hydraulic equipment in the task log to be performed;

[0031] Estimate the duration of tasks to be performed based on the pending task logs of hydraulic equipment;

[0032] The performance compensation coefficient of the hydraulic component of the hydraulic equipment is evaluated by fitting based on the to-be-performed parameters of the hydraulic component of the hydraulic equipment of the to-be-performed task and the task duration of the to-be-performed task.

[0033] Preferably, collecting the operation data of the hydraulic components of the hydraulic equipment in real-time operation state per unit time, analyzing the deviation trend of the real-time operation data of the hydraulic components, and analyzing the risk probability of the hydraulic components of the hydraulic equipment specifically include:

[0034] Get the standardized operating parameter array of the hydraulic components of the hydraulic equipment;

[0035] Standardize the operation data of the hydraulic components of the hydraulic equipment in real-time operation state per unit time to obtain the operation parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time;

[0036] Based on the ratio between the real-time operating state index of the hydraulic component of the hydraulic equipment and the initialization performance of the hydraulic component of the hydraulic equipment, weights are assigned to the operating parameters of the hydraulic component of the hydraulic equipment in the real-time operating state per unit time, and the deviation weights of the operating parameters of the hydraulic component of the hydraulic equipment in the real-time operating state per unit time are obtained;

[0037] Based on the operating parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time, the deviation weight of the operating parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time, and the standardized operating parameter array of the hydraulic components of the hydraulic equipment, the vector distance between the operating parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time and the standardized operating parameter array of the hydraulic components of the hydraulic equipment is calculated to obtain the operating data distance vector index of the hydraulic components of the hydraulic equipment in unit time;

[0038] According to the normalization formula, the hydraulic component operation distance vector index of the hydraulic equipment per unit time is normalized to obtain the deviation index of the real-time operation data of the hydraulic component of the hydraulic equipment;

[0039] Construct a risk prediction model for hydraulic components of hydraulic equipment;

[0040] The deviation index of the operating data of the hydraulic components of the hydraulic equipment in real-time operation state per unit time is used as the input of the risk prediction model of the hydraulic components of the hydraulic equipment, the risk probability of the hydraulic components of the hydraulic equipment per unit time in the future is used as the output, and the minimization of the error function between the predicted value and the observed value is used as the end goal of the model training;

[0041] The calculation of the vector distance between the operating parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time and the standardized operating parameter array of the hydraulic components of the hydraulic equipment to obtain the operating data distance vector index of the hydraulic components of the hydraulic equipment per unit time is specifically:

[0042]

[0043] In the formula, is the distance vector index of the operating data of the jth hydraulic component of the i-th hydraulic equipment per unit time, It is the first time to check the hydraulic components of hydraulic equipment in real-time operation state. The operating parameters deviate from the weight value. Standardized operating parameter value for the jth hydraulic component of the hydraulic equipment, is the real-time operating state of the jth hydraulic component of the i-th hydraulic device operating parameter values, m is the total number of hydraulic components, and U is the total number of operating parameters;

[0044] The normalization formula is specifically:

[0045]

[0046] In the formula, is the deviation index of the real-time operation data of the j-th hydraulic component of the i-th hydraulic equipment, max() and min() are the maximum value function and the minimum value function respectively;

[0047] The risk prediction model of the hydraulic components of the hydraulic equipment is specifically:

[0048]

[0049] In the formula is the risk probability value of the hydraulic component of the hydraulic equipment when the operating data of the j-th hydraulic component of the i-th hydraulic equipment in real-time operation state deviates from the index, is the coefficient vector of the model, is the intercept term of the model, is an exponential function.

[0050] Furthermore, a computer-based remote intelligent monitoring system for hydraulic equipment is proposed, which is used to implement the computer-based remote intelligent monitoring method for hydraulic equipment as described above, including:

[0051] A hydraulic index evaluation module is used to obtain historical operation data of several remotely monitored hydraulic equipment, analyze the loss status of hydraulic components of the hydraulic equipment in the historical operation data, and evaluate the performance index of the hydraulic components of the hydraulic equipment;

[0052] A supplementary coefficient evaluation module, which is used to obtain the task log to be executed of the hydraulic equipment, analyze the hydraulic component requirements of the hydraulic equipment in the task log to be executed, and evaluate the performance compensation coefficient of the hydraulic component of the hydraulic equipment;

[0053] A state correction module, the state correction module is electrically connected to the hydraulic index evaluation module and the supplementary coefficient evaluation module, and the state correction module is used to compensate the hydraulic component performance index of the hydraulic equipment by using the hydraulic component performance compensation coefficient to obtain the real-time operating state of the hydraulic component of the hydraulic equipment;

[0054] A risk assessment module, the risk assessment module is electrically connected to the state correction module, and the risk assessment module is used to collect the operation data of the hydraulic components of the hydraulic equipment under the real-time operation state per unit time, analyze the deviation trend of the real-time operation data of the hydraulic components, and analyze the risk probability of the hydraulic components of the hydraulic equipment;

[0055] The judgment module is electrically connected to the risk assessment module. The judgment module is used to judge whether the risk probability of the hydraulic components of the hydraulic equipment is within the abnormal risk threshold range. If not, no response is made. If so, it is marked as a hydraulic equipment to be maintained.

[0056] Optionally, the hydraulic performance evaluation module includes:

[0057] an initialization unit, which determines initialization performance of a hydraulic component of the hydraulic device based on manufacturing parameters of the hydraulic device;

[0058] A preprocessing unit, which preprocesses the historical operation data of several remote monitoring hydraulic equipment;

[0059] A historical task screening unit, based on the historical operation data of the hydraulic equipment, screens out the historical execution tasks in the historical operation data of the hydraulic equipment, and obtains the historical execution task operation data of the hydraulic components of the hydraulic equipment;

[0060] A historical task duration marking unit is used to mark the historical task execution operation data of the hydraulic component of the hydraulic equipment in the historical operation data of the hydraulic equipment according to the operation duration of each historical task execution operation data, so as to obtain the historical task execution operation duration of the hydraulic component of the hydraulic equipment;

[0061] A task loss unit is used to evaluate the task loss coefficient of the hydraulic component of the hydraulic equipment based on the historical task execution operation data of the hydraulic component of the hydraulic equipment and the historical task execution operation time of the hydraulic component of the hydraulic equipment;

[0062] The basic loss unit obtains the accumulated working time of the hydraulic components of the hydraulic equipment based on the historical operation data of the hydraulic equipment and determines the basic loss coefficient of the hydraulic equipment;

[0063] The hydraulic component performance evaluation unit calculates the hydraulic component performance index of the hydraulic equipment based on the hydraulic component initialization performance of the hydraulic equipment, the hydraulic component execution task loss coefficient of the hydraulic equipment and the basic loss coefficient of the hydraulic equipment.

[0064] Optionally, the risk assessment module includes:

[0065] A standardization unit, which obtains an array of standardized operating parameters of hydraulic components of a hydraulic device;

[0066] The real-time state data acquisition unit performs standardized processing on the operation data of the hydraulic components of the hydraulic equipment in the real-time operation state per unit time, and obtains the operation parameters of the hydraulic components of the hydraulic equipment in the real-time operation state per unit time;

[0067] A deviation weight unit assigns weights to operating parameters of the hydraulic components of the hydraulic equipment in real-time operating state per unit time based on a ratio between the real-time operating state index of the hydraulic components of the hydraulic equipment and the initialization performance of the hydraulic components of the hydraulic equipment, and obtains a deviation weight of the operating parameters of the hydraulic components of the hydraulic equipment in real-time operating state per unit time;

[0068] A distance vector unit, based on the operating parameters of the hydraulic components of the hydraulic equipment in real-time operating state per unit time, the deviation weight of the operating parameters of the hydraulic components of the hydraulic equipment in real-time operating state per unit time, and the standardized operating parameter array of the hydraulic components of the hydraulic equipment, calculates the vector distance between the operating parameters of the hydraulic components of the hydraulic equipment in real-time operating state per unit time and the standardized operating parameter array of the hydraulic components of the hydraulic equipment, and obtains the distance vector index of the operating data of the hydraulic components of the hydraulic equipment per unit time;

[0069] The deviation index unit normalizes the hydraulic component operation distance vector index of the hydraulic equipment per unit time according to the normalization formula to obtain the deviation index of the real-time operation data of the hydraulic component of the hydraulic equipment;

[0070] A model building unit, which builds a risk prediction model for hydraulic components of hydraulic equipment;

[0071] The risk prediction unit uses the deviation index of the operating data of the hydraulic components of the hydraulic equipment under the real-time operating state per unit time as the input of the risk prediction model of the hydraulic components of the hydraulic equipment, uses the risk probability of the hydraulic components of the hydraulic equipment per unit time in the future as the output, and takes minimizing the error function between the predicted value and the observed value as the end goal of the model training.

[0072] Compared with the prior art, the present invention has the following beneficial effects:

[0073] The present invention proposes a computer-based remote intelligent monitoring solution for hydraulic equipment. By evaluating the performance index of the hydraulic components of the hydraulic equipment and the performance compensation coefficient of the hydraulic components under the real-time task, the hydraulic component performance index is compensated by the hydraulic component performance compensation coefficient, the real-time operation status of the hydraulic components of the hydraulic equipment is determined, and the operation data of the hydraulic components under the real-time operation status is collected to analyze the risk probability of the hydraulic components of the hydraulic equipment. Finally, the time when the risk of the hydraulic components exceeds the abnormal threshold is predicted through linear regression analysis, and the equipment to be maintained is identified in advance. The accuracy and real-time performance of equipment maintenance are improved, and the failure rate and maintenance cost are reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 The present invention is a flow chart of a computer-based remote intelligent monitoring method for hydraulic equipment.

[0075] Figure 2 Flowchart of a method for evaluating the performance index of hydraulic components of hydraulic equipment.

[0076] Figure 3 A flow chart of the method for evaluating the performance compensation coefficient of hydraulic components of hydraulic equipment.

[0077] Figure 4 Flowchart of the method for analyzing the risk probability of hydraulic components of hydraulic equipment.

[0078] Figure 5 This is a framework diagram of a computer-based remote intelligent monitoring system for hydraulic equipment. DETAILED DESCRIPTION

[0079] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0080] Reference Figure 1 As shown, the computer-based remote intelligent monitoring method for hydraulic equipment includes:

[0081] Obtain historical operating data of several remotely monitored hydraulic equipment, analyze the loss status of hydraulic components of the hydraulic equipment in the historical operating data, and evaluate the performance indicators of hydraulic components of the hydraulic equipment;

[0082] Obtain the task log to be executed of the hydraulic equipment, analyze the hydraulic component requirements of the hydraulic equipment in the task log to be executed, and evaluate the performance compensation coefficient of the hydraulic component of the hydraulic equipment;

[0083] The hydraulic component performance compensation coefficient is used to compensate the hydraulic component performance index of the hydraulic equipment to obtain the real-time operating status of the hydraulic component of the hydraulic equipment;

[0084] Collect the operating data of the hydraulic components of the hydraulic equipment in real-time operation status per unit time, analyze the deviation trend of the real-time operating data of the hydraulic components, and analyze the risk probability of the hydraulic components of the hydraulic equipment;

[0085] Determine whether the risk probability of the hydraulic components of the hydraulic equipment is within the abnormal risk threshold range. If not, do not respond. If yes, mark it as a hydraulic equipment to be maintained.

[0086] The real-time operating status of the hydraulic components of the hydraulic equipment is specifically:

[0087]

[0088] In the formula, It is the real-time operating status indicator of the hydraulic components of hydraulic equipment. It is the performance index of hydraulic components of hydraulic equipment. It is the performance compensation coefficient of hydraulic components of hydraulic equipment.

[0089] It should be noted that the range of abnormal risk threshold is determined based on the needs of technical personnel in this field;

[0090] This scheme evaluates the hydraulic component performance index of the hydraulic equipment and the hydraulic component performance compensation coefficient under the real-time task, uses the hydraulic component performance compensation coefficient to compensate the hydraulic component performance index, determines the real-time operation status of the hydraulic component of the hydraulic equipment, and collects the operation data of the hydraulic component under the real-time operation status to analyze the hydraulic component risk probability of the hydraulic equipment. Finally, the linear regression analysis is used to predict the time when the hydraulic component risk exceeds the abnormal threshold, and the equipment to be maintained is identified in advance. The advantages of the present invention are: improving the accuracy and real-time performance of equipment maintenance, reducing the failure rate and maintenance cost.

[0091] Reference Figure 2 As shown, the historical operation data of several remotely monitored hydraulic equipment are obtained, the loss status of the hydraulic components of the hydraulic equipment in the historical operation data is analyzed, and the performance indicators of the hydraulic components of the hydraulic equipment are evaluated, including:

[0092] Determining initialization performance of hydraulic components of the hydraulic equipment based on manufacturing parameters of the hydraulic equipment;

[0093] Preprocess the historical operation data of several remotely monitored hydraulic equipment;

[0094] Based on the historical operation data of the hydraulic equipment, the historical execution tasks in the historical operation data of the hydraulic equipment are screened out to obtain the historical execution task operation data of the hydraulic components of the hydraulic equipment;

[0095] According to the historical task execution operation data of the hydraulic component of the hydraulic equipment in the historical operation data of the hydraulic equipment, the operation data is marked according to the operation time of each historical task execution operation data to obtain the historical task execution operation time of the hydraulic component of the hydraulic equipment;

[0096] Based on the historical task execution operation data of the hydraulic components of the hydraulic equipment and the historical task execution operation time of the hydraulic components of the hydraulic equipment, the task execution loss coefficient of the hydraulic components of the hydraulic equipment is evaluated by fitting;

[0097] Based on the historical operation data of the hydraulic equipment, the accumulated working time of the hydraulic components of the hydraulic equipment is obtained to determine the basic loss coefficient of the hydraulic equipment;

[0098] Calculate the performance index of the hydraulic components of the hydraulic equipment based on the initialization performance of the hydraulic components of the hydraulic equipment, the task execution loss coefficient of the hydraulic components of the hydraulic equipment and the basic loss coefficient of the hydraulic equipment;

[0099] The loss coefficient of the hydraulic components of the hydraulic equipment for evaluating the task execution is specifically:

[0100]

[0101] In the formula, is the hydraulic component task loss coefficient of the i-th hydraulic equipment, is the loss value of the k-th historical execution task operation data of the hydraulic component of the hydraulic equipment, is the slope, which indicates the increase in loss per unit of working time. For the The running time of historical execution tasks, is the intercept, indicating that the loss accumulates with the working time;

[0102] The performance index of the hydraulic components of the computing hydraulic equipment is specifically:

[0103]

[0104] In the formula, It is the performance index of hydraulic components of hydraulic equipment. Initializes performance of hydraulic components of hydraulic equipment, is the basic loss coefficient of hydraulic equipment, The accumulated operating hours of hydraulic components of hydraulic equipment.

[0105] It should be noted that the historical task execution operation data of the hydraulic components of the hydraulic equipment in this solution refers to but is not limited to: hydraulic pump execution parameters, hydraulic valve execution parameters, and hydraulic motor execution parameters.

[0106] It is understandable that since hydraulic equipment will also experience natural wear and tear if it does not perform tasks after leaving the factory, the loss coefficient of the hydraulic equipment's historical execution of tasks in the overall time dimension and the basic loss coefficient of the hydraulic equipment in the natural environment are considered to evaluate the performance indicators of the hydraulic components of the hydraulic equipment, so as to accurately evaluate the status of the equipment and provide key parameters for subsequent equipment maintenance.

[0107] Reference Figure 3 As shown, obtaining the task log to be executed of the hydraulic equipment, analyzing the hydraulic component requirements of the hydraulic equipment in the task log to be executed, and evaluating the hydraulic component performance compensation coefficient of the hydraulic equipment specifically include:

[0108] Determine the execution parameters of the tasks to be performed by the hydraulic components of the hydraulic equipment based on the hydraulic component requirements of the hydraulic equipment in the task log to be performed;

[0109] Estimate the duration of tasks to be performed based on the pending task logs of hydraulic equipment;

[0110] The performance compensation coefficient of the hydraulic component of the hydraulic equipment is evaluated by fitting based on the to-be-performed parameters of the hydraulic component of the hydraulic equipment of the to-be-performed task and the task duration of the to-be-performed task.

[0111] It should be noted that since the tasks to be performed by the hydraulic components of the hydraulic equipment are unobservable variables, the tasks to be performed can be fitted and evaluated in the same way as the historical tasks, and the hydraulic component performance compensation coefficient of the hydraulic equipment and the hydraulic component task loss coefficient of the hydraulic equipment are numerical values ​​of the same dimension. Accordingly, the hydraulic component performance compensation coefficient of the hydraulic equipment can be fitted and calculated using the same expression for evaluating the hydraulic component task loss coefficient of the hydraulic equipment mentioned above, which will not be described in detail here.

[0112] Reference Figure 4 As shown, the operation data of the hydraulic components of the hydraulic equipment under real-time operation status per unit time is collected, the deviation trend of the real-time operation data of the hydraulic components is analyzed, and the risk probability of the hydraulic components of the hydraulic equipment is analyzed, which specifically includes:

[0113] Get the standardized operating parameter array of the hydraulic components of the hydraulic equipment;

[0114] Standardize the operation data of the hydraulic components of the hydraulic equipment in real-time operation state per unit time to obtain the operation parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time;

[0115] Based on the ratio between the real-time operating state index of the hydraulic component of the hydraulic equipment and the initialization performance of the hydraulic component of the hydraulic equipment, weights are assigned to the operating parameters of the hydraulic component of the hydraulic equipment in the real-time operating state per unit time, and the deviation weights of the operating parameters of the hydraulic component of the hydraulic equipment in the real-time operating state per unit time are obtained;

[0116] Based on the operating parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time, the deviation weight of the operating parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time, and the standardized operating parameter array of the hydraulic components of the hydraulic equipment, the vector distance between the operating parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time and the standardized operating parameter array of the hydraulic components of the hydraulic equipment is calculated to obtain the operating data distance vector index of the hydraulic components of the hydraulic equipment in unit time;

[0117] According to the normalization formula, the hydraulic component operation distance vector index of the hydraulic equipment per unit time is normalized to obtain the deviation index of the real-time operation data of the hydraulic component of the hydraulic equipment;

[0118] Construct a risk prediction model for hydraulic components of hydraulic equipment;

[0119] The deviation index of the operating data of the hydraulic components of the hydraulic equipment in real-time operation state per unit time is used as the input of the risk prediction model of the hydraulic components of the hydraulic equipment, the risk probability of the hydraulic components of the hydraulic equipment per unit time in the future is used as the output, and the minimization of the error function between the predicted value and the observed value is used as the end goal of the model training;

[0120] The calculation of the vector distance between the operating parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time and the standardized operating parameter array of the hydraulic components of the hydraulic equipment to obtain the operating data distance vector index of the hydraulic components of the hydraulic equipment per unit time is specifically:

[0121]

[0122] In the formula, is the distance vector index of the operating data of the jth hydraulic component of the i-th hydraulic equipment per unit time, It is the first time to check the hydraulic components of hydraulic equipment in real-time operation state. The operating parameters deviate from the weight value. The standardized operating parameter value of the jth hydraulic component of the hydraulic equipment, is the real-time operating state of the jth hydraulic component of the i-th hydraulic device operating parameter values, m is the total number of hydraulic components, and U is the total number of operating parameters;

[0123] The normalization formula is specifically:

[0124]

[0125] In the formula, is the deviation index of the real-time operation data of the j-th hydraulic component of the i-th hydraulic equipment, max() and min() are the maximum value function and the minimum value function respectively;

[0126] The risk prediction model of the hydraulic components of the hydraulic equipment is specifically:

[0127]

[0128] In the formula is the risk probability value of the hydraulic component of the hydraulic equipment when the operating data of the j-th hydraulic component of the i-th hydraulic equipment in real-time operation state deviates from the index, is the coefficient vector of the model, is the intercept term of the model, is an exponential function.

[0129] This scheme analyzes the distance vector index between the hydraulic component operation data of the hydraulic equipment and the standardized data of the hydraulic component of the hydraulic equipment, normalizes the distance vector index through the normalization formula, and obtains the deviation index of the real-time operation data of the hydraulic component of the hydraulic equipment. This index is used as the influencing factor of whether the hydraulic component of the hydraulic equipment has a risk probability, and is substituted into the hydraulic component risk prediction model of the hydraulic equipment built based on Logistic regression to predict the risk probability of the hydraulic component of the hydraulic equipment per unit time in the future, timely discover the potential failure of the hydraulic component of the hydraulic equipment, and improve the reliability and maintenance efficiency of the hydraulic component of the hydraulic equipment.

[0130] Reference Figure 5 As shown, the same invention concept as the computer-based remote intelligent monitoring method for hydraulic equipment is proposed, and a computer-based remote intelligent monitoring system for hydraulic equipment is proposed, including:

[0131] A hydraulic index evaluation module is used to obtain historical operation data of several remotely monitored hydraulic equipment, analyze the loss status of hydraulic components of the hydraulic equipment in the historical operation data, and evaluate the performance index of the hydraulic components of the hydraulic equipment;

[0132] A supplementary coefficient evaluation module, which is used to obtain the task log to be executed of the hydraulic equipment, analyze the hydraulic component requirements of the hydraulic equipment in the task log to be executed, and evaluate the performance compensation coefficient of the hydraulic component of the hydraulic equipment;

[0133] A state correction module, the state correction module is electrically connected to the hydraulic index evaluation module and the supplementary coefficient evaluation module, and the state correction module is used to compensate the hydraulic component performance index of the hydraulic equipment by using the hydraulic component performance compensation coefficient to obtain the real-time operating state of the hydraulic component of the hydraulic equipment;

[0134] A risk assessment module, the risk assessment module is electrically connected to the state correction module, and the risk assessment module is used to collect the operation data of the hydraulic components of the hydraulic equipment under the real-time operation state per unit time, analyze the deviation trend of the real-time operation data of the hydraulic components, and analyze the risk probability of the hydraulic components of the hydraulic equipment;

[0135] The judgment module is electrically connected to the risk assessment module. The judgment module is used to judge whether the risk probability of the hydraulic components of the hydraulic equipment is within the abnormal risk threshold range. If not, no response is made. If so, it is marked as a hydraulic equipment to be maintained.

[0136] The hydraulic index evaluation module includes:

[0137] an initialization unit, which determines initialization performance of a hydraulic component of the hydraulic device based on manufacturing parameters of the hydraulic device;

[0138] A preprocessing unit, which preprocesses the historical operation data of several remote monitoring hydraulic equipment;

[0139] A historical task screening unit, based on the historical operation data of the hydraulic equipment, screens out the historical execution tasks in the historical operation data of the hydraulic equipment, and obtains the historical execution task operation data of the hydraulic components of the hydraulic equipment;

[0140] A historical task duration marking unit is used to mark the historical task execution operation data of the hydraulic component of the hydraulic equipment in the historical operation data of the hydraulic equipment according to the operation duration of each historical task execution operation data, so as to obtain the historical task execution operation duration of the hydraulic component of the hydraulic equipment;

[0141] A task loss unit is used to evaluate the task loss coefficient of the hydraulic component of the hydraulic equipment based on the historical task execution operation data of the hydraulic component of the hydraulic equipment and the historical task execution operation time of the hydraulic component of the hydraulic equipment;

[0142] The basic loss unit obtains the accumulated working time of the hydraulic components of the hydraulic equipment based on the historical operation data of the hydraulic equipment and determines the basic loss coefficient of the hydraulic equipment;

[0143] The hydraulic component performance evaluation unit calculates the hydraulic component performance index of the hydraulic equipment based on the hydraulic component initialization performance of the hydraulic equipment, the hydraulic component execution task loss coefficient of the hydraulic equipment and the basic loss coefficient of the hydraulic equipment.

[0144] The risk assessment module includes:

[0145] A standardization unit, which obtains an array of standardized operating parameters of hydraulic components of a hydraulic device;

[0146] The real-time state data acquisition unit performs standardized processing on the operation data of the hydraulic components of the hydraulic equipment in the real-time operation state per unit time, and obtains the operation parameters of the hydraulic components of the hydraulic equipment in the real-time operation state per unit time;

[0147] A deviation weight unit assigns weights to operating parameters of the hydraulic components of the hydraulic equipment in real-time operating state per unit time based on a ratio between the real-time operating state index of the hydraulic components of the hydraulic equipment and the initialization performance of the hydraulic components of the hydraulic equipment, and obtains a deviation weight of the operating parameters of the hydraulic components of the hydraulic equipment in real-time operating state per unit time;

[0148] A distance vector unit, based on the operating parameters of the hydraulic components of the hydraulic equipment in real-time operating state per unit time, the deviation weight of the operating parameters of the hydraulic components of the hydraulic equipment in real-time operating state per unit time, and the standardized operating parameter array of the hydraulic components of the hydraulic equipment, calculates the vector distance between the operating parameters of the hydraulic components of the hydraulic equipment in real-time operating state per unit time and the standardized operating parameter array of the hydraulic components of the hydraulic equipment, and obtains the distance vector index of the operating data of the hydraulic components of the hydraulic equipment per unit time;

[0149] The deviation index unit normalizes the hydraulic component operation distance vector index of the hydraulic equipment per unit time according to the normalization formula to obtain the deviation index of the real-time operation data of the hydraulic component of the hydraulic equipment;

[0150] A model building unit, which builds a risk prediction model for hydraulic components of hydraulic equipment;

[0151] The risk prediction unit uses the deviation index of the operating data of the hydraulic components of the hydraulic equipment under the real-time operating state per unit time as the input of the risk prediction model of the hydraulic components of the hydraulic equipment, uses the risk probability of the hydraulic components of the hydraulic equipment per unit time in the future as the output, and takes minimizing the error function between the predicted value and the observed value as the end goal of the model training.

[0152] The use process of the computer-based hydraulic equipment remote intelligent monitoring system is as follows:

[0153] Step 1: Determine the initialization performance of the hydraulic components of the hydraulic equipment based on the manufacturing parameters of the hydraulic equipment;

[0154] Step 2: Preprocess the historical operation data of several remote monitoring hydraulic equipment;

[0155] Step 3: Based on the historical operation data of the hydraulic equipment, filter out the historical execution tasks in the historical operation data of the hydraulic equipment, and obtain the historical execution task operation data of the hydraulic components of the hydraulic equipment;

[0156] Step 4: according to the historical operation data of the hydraulic components of the hydraulic equipment in the historical operation data of the hydraulic equipment, the operation time of each historical execution task operation data is marked to obtain the historical execution task operation time of the hydraulic components of the hydraulic equipment;

[0157] Step 5: fitting and evaluating the loss coefficient of the hydraulic component of the hydraulic equipment for executing the task based on the historical execution task operation data of the hydraulic component of the hydraulic equipment and the historical execution task operation time of the hydraulic component of the hydraulic equipment;

[0158] Step 6: Based on the historical operation data of the hydraulic equipment, the accumulated working hours of the hydraulic components of the hydraulic equipment are obtained to determine the basic loss coefficient of the hydraulic equipment;

[0159] Step 7: Calculate the hydraulic component performance index of the hydraulic equipment based on the hydraulic component initialization performance of the hydraulic equipment, the hydraulic component execution task loss coefficient of the hydraulic equipment, and the basic loss coefficient of the hydraulic equipment;

[0160] Step 8: Obtain the task log to be executed of the hydraulic equipment, analyze the hydraulic component requirements of the hydraulic equipment in the task log to be executed, and evaluate the hydraulic component performance compensation coefficient of the hydraulic equipment;

[0161] Step 9: Using the hydraulic component performance compensation coefficient to compensate for the hydraulic component performance index of the hydraulic equipment, and obtaining the real-time operating status of the hydraulic component of the hydraulic equipment;

[0162] Step 10: Obtain the standardized operating parameter array of the hydraulic components of the hydraulic equipment;

[0163] Step 11: standardize the operation data of the hydraulic components of the hydraulic equipment in real-time operation state per unit time to obtain the operation parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time;

[0164] Step 12: Based on the ratio between the real-time operating state index of the hydraulic component of the hydraulic equipment and the initialization performance of the hydraulic component of the hydraulic equipment, weights are assigned to the operating parameters of the hydraulic component of the hydraulic equipment in the real-time operating state per unit time, and the deviation weights of the operating parameters of the hydraulic component of the hydraulic equipment in the real-time operating state per unit time are obtained;

[0165] Step 13: Based on the operating parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time, the operating parameter weights of the hydraulic components of the hydraulic equipment in real-time operation state per unit time, and the standardized operating parameter array of the hydraulic components of the hydraulic equipment, the vector distance between the operating parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time and the standardized operating parameter array of the hydraulic components of the hydraulic equipment is calculated to obtain the operating data distance vector index of the hydraulic components of the hydraulic equipment in unit time;

[0166] Step 14: normalizing the hydraulic component operation distance vector index of the hydraulic equipment per unit time according to the normalization formula to obtain a deviation index of the real-time operation data of the hydraulic component of the hydraulic equipment;

[0167] Step 15: Construct a risk prediction model for hydraulic components of hydraulic equipment;

[0168] Step 16: Using the deviation index of the operating data of the hydraulic components of the hydraulic equipment in real-time operating state per unit time as the input of the risk prediction model of the hydraulic components of the hydraulic equipment, using the risk probability of the hydraulic components of the hydraulic equipment per unit time in the future as the output, and minimizing the error function between the predicted value and the observed value as the end goal of the model training;

[0169] Step 17: Determine whether the risk probability of the hydraulic components of the hydraulic equipment is within the abnormal risk threshold range. If not, do not respond. If so, mark it as a hydraulic equipment to be maintained.

[0170] In summary, the advantages of the present invention are: by evaluating the hydraulic component performance index of the hydraulic equipment and the hydraulic component performance compensation coefficient under the real-time task, the hydraulic component performance index is compensated by using the hydraulic component performance compensation coefficient, the real-time operation state of the hydraulic component of the hydraulic equipment is determined, and the operation data of the hydraulic component under the real-time operation state is collected to analyze the risk probability of the hydraulic component of the hydraulic equipment, and finally, the time when the hydraulic component risk exceeds the abnormal threshold is predicted through linear regression analysis, and the equipment to be maintained is identified in advance. The advantages of the present invention are: improving the accuracy and real-time performance of equipment maintenance, and reducing the failure rate and maintenance cost.

[0171] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A computer-based remote intelligent monitoring method for hydraulic equipment, characterized in that: include: Obtain historical operating data of several remotely monitored hydraulic equipment, analyze the loss status of hydraulic components of the hydraulic equipment in the historical operating data, and evaluate the performance indicators of hydraulic components of the hydraulic equipment; Obtain the task log to be executed of the hydraulic equipment, analyze the hydraulic component requirements of the hydraulic equipment in the task log to be executed, and evaluate the performance compensation coefficient of the hydraulic component of the hydraulic equipment; The hydraulic component performance compensation coefficient is used to compensate the hydraulic component performance index of the hydraulic equipment to obtain the real-time operating status of the hydraulic component of the hydraulic equipment; Collect the operating data of the hydraulic components of the hydraulic equipment in real-time operation status per unit time, analyze the deviation trend of the real-time operating data of the hydraulic components, and analyze the risk probability of the hydraulic components of the hydraulic equipment; Determine whether the risk probability of the hydraulic components of the hydraulic equipment is within the abnormal risk threshold range. If not, do not respond. If yes, mark it as a hydraulic equipment to be maintained. The real-time operating status of the hydraulic components of the hydraulic equipment is specifically: In the formula, It is the real-time operating status indicator of the hydraulic components of hydraulic equipment. It is the performance index of hydraulic components of hydraulic equipment. It is the performance compensation coefficient of hydraulic components of hydraulic equipment; The obtaining of the to-be-executed task log of the hydraulic equipment, analyzing the hydraulic component requirements of the hydraulic equipment in the to-be-executed task log, and evaluating the hydraulic component performance compensation coefficient of the hydraulic equipment specifically includes: Determine the execution parameters of the tasks to be performed by the hydraulic components of the hydraulic equipment based on the hydraulic component requirements of the hydraulic equipment in the task log to be performed; Estimate the duration of tasks to be performed based on the pending task logs of hydraulic equipment; Fitting and evaluating the performance compensation coefficient of the hydraulic component of the hydraulic equipment based on the to-be-performed parameters of the hydraulic component of the hydraulic equipment for the task to be performed and the task duration of the task to be performed; The task to be performed is evaluated in the same way as the historical task.

2. The computer-based remote intelligent monitoring method for hydraulic equipment according to claim 1 is characterized in that: Obtain the historical operation data of several remotely monitored hydraulic equipment, analyze the loss status of the hydraulic components of the hydraulic equipment in the historical operation data, and evaluate the performance indicators of the hydraulic components of the hydraulic equipment, including: Determining initialization performance of hydraulic components of the hydraulic equipment based on manufacturing parameters of the hydraulic equipment; Preprocess the historical operation data of several remotely monitored hydraulic equipment; Based on the historical operation data of the hydraulic equipment, the historical execution tasks in the historical operation data of the hydraulic equipment are screened out to obtain the historical execution task operation data of the hydraulic components of the hydraulic equipment; According to the historical task execution operation data of the hydraulic component of the hydraulic equipment in the historical operation data of the hydraulic equipment, the operation data is marked according to the operation time of each historical task execution operation data to obtain the historical task execution operation time of the hydraulic component of the hydraulic equipment; Based on the historical task execution operation data of the hydraulic components of the hydraulic equipment and the historical task execution operation time of the hydraulic components of the hydraulic equipment, the task execution loss coefficient of the hydraulic components of the hydraulic equipment is evaluated by fitting; Based on the historical operation data of the hydraulic equipment, the accumulated working time of the hydraulic components of the hydraulic equipment is obtained to determine the basic loss coefficient of the hydraulic equipment; The performance index of the hydraulic components of the hydraulic equipment is calculated based on the initialization performance of the hydraulic components of the hydraulic equipment, the task execution loss coefficient of the hydraulic components of the hydraulic equipment and the basic loss coefficient of the hydraulic equipment.

3. According to the computer-based remote intelligent monitoring method for hydraulic equipment in claim 2, the loss coefficient of the hydraulic component of the hydraulic equipment for evaluating the task execution is specifically: In the formula, is the hydraulic component task loss coefficient of the i-th hydraulic equipment, is the loss value of the k-th historical execution task operation data of the hydraulic component of the hydraulic equipment, is the slope, which indicates the increase in loss per unit of working time. For the The running time of historical execution tasks, is the intercept, indicating that the loss accumulates with the working time.

4. According to the computer-based remote intelligent monitoring method for hydraulic equipment according to claim 3, the performance index of the hydraulic components of the hydraulic equipment is calculated as follows: In the formula, It is the performance index of hydraulic components of hydraulic equipment. Initializes performance of hydraulic components of hydraulic equipment, is the basic loss coefficient of hydraulic equipment, The accumulated operating hours of hydraulic components of hydraulic equipment.

5. The computer-based remote intelligent monitoring method for hydraulic equipment according to claim 4 is characterized in that: Collect the operating data of the hydraulic components of the hydraulic equipment in real-time operation state per unit time, analyze the deviation trend of the real-time operating data of the hydraulic components, and analyze the risk probability of the hydraulic components of the hydraulic equipment, including: Get the standardized operating parameter array of the hydraulic components of the hydraulic equipment; Standardize the operation data of the hydraulic components of the hydraulic equipment in real-time operation state per unit time to obtain the operation parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time; Based on the ratio between the real-time operating state index of the hydraulic component of the hydraulic equipment and the initialization performance of the hydraulic component of the hydraulic equipment, weights are assigned to the operating parameters of the hydraulic component of the hydraulic equipment in the real-time operating state per unit time, and the deviation weights of the operating parameters of the hydraulic component of the hydraulic equipment in the real-time operating state per unit time are obtained; Based on the operating parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time, the operating parameter deviation weights of the hydraulic components of the hydraulic equipment in real-time operation state per unit time, and the standardized operating parameter array of the hydraulic components of the hydraulic equipment, the vector distance between the operating parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time and the standardized operating parameter array of the hydraulic components of the hydraulic equipment is calculated to obtain the operating data distance vector index of the hydraulic components of the hydraulic equipment in unit time; According to the normalization formula, the hydraulic component operation distance vector index of the hydraulic equipment per unit time is normalized to obtain the deviation index of the real-time operation data of the hydraulic component of the hydraulic equipment; Construct a risk prediction model for hydraulic components of hydraulic equipment; The deviation index of the operating data of the hydraulic components of the hydraulic equipment in real-time operation state per unit time is used as the input of the risk prediction model of the hydraulic components of the hydraulic equipment, the risk probability of the hydraulic components of the hydraulic equipment per unit time in the future is used as the output, and the minimization of the error function between the predicted value and the observed value is used as the end goal of the model training; The calculation of the vector distance between the operating parameters of the hydraulic components of the hydraulic equipment in real-time operation state per unit time and the standardized operating parameter array of the hydraulic components of the hydraulic equipment to obtain the operating data distance vector index of the hydraulic components of the hydraulic equipment per unit time is specifically: In the formula, is the distance vector index of the operating data of the jth hydraulic component of the i-th hydraulic equipment per unit time, It is the first time to check the hydraulic components of hydraulic equipment in real-time operation state. The operating parameters deviate from the weight value. The standardized operating parameter value of the jth hydraulic component of the hydraulic equipment, is the real-time operating state of the jth hydraulic component of the i-th hydraulic device operating parameter values, m is the total number of hydraulic components, and U is the total number of operating parameters; The normalization formula is specifically: In the formula, is the deviation index of the real-time operation data of the j-th hydraulic component of the i-th hydraulic equipment, max() and min() are the maximum value function and the minimum value function respectively; The risk prediction model of the hydraulic components of the hydraulic equipment is specifically: In the formula is the risk probability value of the hydraulic component of the hydraulic equipment when the operating data of the j-th hydraulic component of the i-th hydraulic equipment in real-time operation state deviates from the index, is the coefficient vector of the model, is the intercept term of the model, is an exponential function.

6. Computer-based remote intelligent monitoring system for hydraulic equipment, characterized in that: A method for realizing a computer-based remote intelligent monitoring method for hydraulic equipment according to any one of claims 1 to 5, comprising: A hydraulic index evaluation module is used to obtain historical operation data of several remotely monitored hydraulic equipment, analyze the loss status of hydraulic components of the hydraulic equipment in the historical operation data, and evaluate the performance index of the hydraulic components of the hydraulic equipment; A supplementary coefficient evaluation module, which is used to obtain the task log to be executed of the hydraulic equipment, analyze the hydraulic component requirements of the hydraulic equipment in the task log to be executed, and evaluate the performance compensation coefficient of the hydraulic component of the hydraulic equipment; A state correction module, the state correction module is electrically connected to the hydraulic index evaluation module and the supplementary coefficient evaluation module, and the state correction module is used to compensate the hydraulic component performance index of the hydraulic equipment by using the hydraulic component performance compensation coefficient to obtain the real-time operating state of the hydraulic component of the hydraulic equipment; A risk assessment module, the risk assessment module is electrically connected to the state correction module, and the risk assessment module is used to collect the operation data of the hydraulic components of the hydraulic equipment under the real-time operation state per unit time, analyze the deviation trend of the real-time operation data of the hydraulic components, and analyze the risk probability of the hydraulic components of the hydraulic equipment; The judgment module is electrically connected to the risk assessment module. The judgment module is used to judge whether the risk probability of the hydraulic components of the hydraulic equipment is within the abnormal risk threshold range. If not, no response is made. If so, it is marked as a hydraulic equipment to be maintained.

7. The computer-based remote intelligent monitoring system for hydraulic equipment according to claim 6 is characterized in that: The hydraulic index evaluation module includes: an initialization unit, which determines initialization performance of a hydraulic component of the hydraulic device based on manufacturing parameters of the hydraulic device; A preprocessing unit, which preprocesses the historical operation data of several remote monitoring hydraulic equipment; A historical task screening unit, based on the historical operation data of the hydraulic equipment, screens out the historical execution tasks in the historical operation data of the hydraulic equipment, and obtains the historical execution task operation data of the hydraulic components of the hydraulic equipment; A historical task duration marking unit is used to mark the historical task execution operation data of the hydraulic component of the hydraulic equipment in the historical operation data of the hydraulic equipment according to the operation duration of each historical task execution operation data, so as to obtain the historical task execution operation duration of the hydraulic component of the hydraulic equipment; A task loss unit is used to evaluate the task loss coefficient of the hydraulic component of the hydraulic equipment based on the historical task execution operation data of the hydraulic component of the hydraulic equipment and the historical task execution operation time of the hydraulic component of the hydraulic equipment; The basic loss unit obtains the accumulated working time of the hydraulic components of the hydraulic equipment based on the historical operation data of the hydraulic equipment and determines the basic loss coefficient of the hydraulic equipment; The hydraulic component performance evaluation unit calculates the hydraulic component performance index of the hydraulic equipment based on the hydraulic component initialization performance of the hydraulic equipment, the hydraulic component execution task loss coefficient of the hydraulic equipment and the basic loss coefficient of the hydraulic equipment.

8. The computer-based remote intelligent monitoring system for hydraulic equipment according to claim 6, characterized in that: The risk assessment module includes: A standardization unit, which obtains an array of standardized operating parameters of hydraulic components of a hydraulic device; The real-time state data acquisition unit performs standardized processing on the operation data of the hydraulic components of the hydraulic equipment in the real-time operation state per unit time, and obtains the operation parameters of the hydraulic components of the hydraulic equipment in the real-time operation state per unit time; A deviation weight unit assigns weights to operating parameters of the hydraulic components of the hydraulic equipment in real-time operating state per unit time based on a ratio between the real-time operating state index of the hydraulic components of the hydraulic equipment and the initialization performance of the hydraulic components of the hydraulic equipment, and obtains a deviation weight of the operating parameters of the hydraulic components of the hydraulic equipment in real-time operating state per unit time; A distance vector unit, based on the operating parameters of the hydraulic components of the hydraulic equipment in real-time operating state per unit time, the deviation weight of the operating parameters of the hydraulic components of the hydraulic equipment in real-time operating state per unit time, and the standardized operating parameter array of the hydraulic components of the hydraulic equipment, calculates the vector distance between the operating parameters of the hydraulic components of the hydraulic equipment in real-time operating state per unit time and the standardized operating parameter array of the hydraulic components of the hydraulic equipment, and obtains the distance vector index of the operating data of the hydraulic components of the hydraulic equipment per unit time; The deviation index unit normalizes the hydraulic component operation distance vector index of the hydraulic equipment per unit time according to the normalization formula to obtain the deviation index of the real-time operation data of the hydraulic component of the hydraulic equipment; A model building unit, which builds a risk prediction model for hydraulic components of hydraulic equipment; The risk prediction unit uses the deviation index of the operating data of the hydraulic components of the hydraulic equipment under the real-time operating state per unit time as the input of the risk prediction model of the hydraulic components of the hydraulic equipment, uses the risk probability of the hydraulic components of the hydraulic equipment per unit time in the future as the output, and takes minimizing the error function between the predicted value and the observed value as the end goal of the model training.

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