A hydraulic support safety valve healthy working status monitoring system

Abstract

The present invention relates to the technical field of safety valve working status monitoring, and specifically to a hydraulic support safety valve healthy working status monitoring system. The system comprises: a data acquisition module for real-time acquisition of pressure data and flow data of the safety valve; a safety valve processing module for analyzing the difference between the impact pressure value and the preset set pressure during the impact period, as well as the oscillation difference, and constructing pressure abnormality values ​​and flow abnormality values ​​in combination with the change characteristics of the flow data; constructing a correlation index by analyzing the correlation between the pressure abnormality values ​​and the flow abnormality values, and determining the abnormality coefficient of the safety valve in combination with the average distribution of the pressure abnormality values ​​and the flow abnormality values; and a safety valve monitoring module for evaluating the current working status of the safety valve based on the abnormality coefficient. This application aims to improve the accuracy of monitoring the healthy working status of the safety valve.

Description

Technical Field

[0001] The present invention relates to the technical field of safety valve working state monitoring, and in particular to a hydraulic support safety valve healthy working state monitoring system. Background Art

[0002] The hydraulic support safety valve is an automatic pressure relief device driven by medium pressure, primarily used in mine support equipment. Its core function is to automatically release excess pressure when the pressure within the hydraulic support column exceeds the set value, preventing damage to the column due to overload, thereby protecting the structural safety of the hydraulic support. Hydraulic support safety valves are primarily used in underground fully mechanized mining working faces in coal mines to support the roof and prevent it from collapsing. In complex mining environments, especially in areas with large mining heights or frequent rock bursts, the role of safety valves is particularly important. Monitoring the healthy working status of hydraulic support safety valves can promptly detect safety valve anomalies and ensure the safety of production operations.

[0003] The safety valve of a hydraulic support is installed in the lower cavity of the column. Its function is to prevent overload on the column and jack, ensuring their safe operation. Because the safety valve operates under high pressure for a long time, it must be sensitive, stable, and have a long service life. The safety valve used in hydraulic supports is often a direct-acting safety valve, which has a simple structure and can quickly unload and overflow when overloaded. During use, the safety valve may malfunction due to wear and fatigue of parts and the influence of hydraulic oil viscosity. Existing detection methods generally determine whether the hydraulic support is abnormal based on the amplitude of the pressure data change. They fail to fully consider the deeper characteristics manifested by these influences in actual applications, thereby reducing the accuracy of monitoring the healthy working status of the safety valve. Summary of the Invention

[0004] In order to solve the above technical problems, the purpose of the present invention is to provide a hydraulic support safety valve healthy working status monitoring system, the technical solutions adopted are as follows:

[0005] The present invention proposes a system for monitoring the healthy working status of a hydraulic support safety valve, the system comprising:

[0006] Data acquisition module, used to collect pressure data and flow data of safety valve in real time;

[0007] The safety valve processing module is used to fit all pressure data in each preset time period, and take the maximum maximum value of all maximum values ​​on the pressure fitting curve in each time period that is greater than the preset set pressure as the impact pressure value to obtain the impact period;

[0008] Comparing the difference between the impact pressure value in the current impact period and the preset set pressure to determine the pressure overshoot value in the current impact period; determining the oscillation difference based on the difference between all adjacent extreme values ​​on the pressure fitting curve from the time of the impact pressure value to the end time of the corresponding impact period, and combining the pressure overshoot value to determine the pressure abnormality value of the safety valve in the current impact period;

[0009] Fit all flow data in the current impact period, and determine the flow abnormality value of the safety valve in the current impact period by combining the average kurtosis of all peaks on the flow fitting curve and the dispersion of all peak values;

[0010] Analyze the correlation between the pressure abnormal values ​​and the flow abnormal values ​​in the current impact period and the preset number of consecutive impact periods before it to determine the correlation index of the current impact period; analyze the average distribution of all pressure abnormal values ​​and all flow abnormal values ​​in the current impact period and the preset number of consecutive impact periods before it to determine the comprehensive abnormal value, and determine the abnormal coefficient of the safety valve in the current impact period in combination with the correlation index;

[0011] The safety valve monitoring module is used to evaluate the current working status of the safety valve based on the abnormality coefficient.

[0012] Preferably, the method for obtaining the impact period is:

[0013] On the pressure fitting curve of each time period, the time corresponding to the minimum value before the impact pressure value and closest to the impact pressure value is taken as the starting time of the impact period, and the time corresponding to the last fitting value after the impact pressure value that is equal to the preset set pressure is taken as the end time of the impact period.

[0014] Preferably, the pressure overshoot value in the current impact period is a result of dividing the deviation between the impact pressure value in the current impact period and the preset set pressure by the preset set pressure.

[0015] Preferably, the expression of the oscillation difference is: Where, Indicates the oscillation difference of the current shock period; 、 They represent the i-th and i+1-th extreme values ​​on the pressure fitting curve between the impact pressure value in the current impact period and the end time of the current impact period respectively; Indicates the number of all extreme values ​​on the pressure fitting curve between the impact pressure value in the current impact period and the end time of the current impact period.

[0016] Preferably, the abnormal pressure value of the safety valve during the current impact period is a result of forward fusion of the pressure overshoot value and the oscillation difference during the current impact period.

[0017] Preferably, the flow anomaly value of the safety valve during the current impact period is a result of a positive fusion of the average kurtosis of all peaks on the flow fitting curve during the current impact period and the discrete degrees of all peak values.

[0018] Preferably, the correlation index of the current impact period is the absolute value of the correlation coefficient between the pressure abnormal value and the flow abnormal value in the current impact period and a preset number of consecutive impact periods before the current impact period.

[0019] Preferably, the comprehensive abnormal value is the sum of the average values ​​of all pressure abnormal values ​​and the average values ​​of all flow abnormal values ​​in the current impact period and the preset number of impact periods before it.

[0020] Preferably, the abnormal coefficient of the safety valve in the current impact period is the ratio of the comprehensive abnormal value in the current impact period to the relevant index.

[0021] Preferably, the evaluating the current working status of the safety valve includes:

[0022] If the normalized value of the abnormality coefficient of the safety valve in the current impact period is greater than or equal to the preset threshold, the working state of the safety valve is abnormal; otherwise, the working state of the safety valve is normal.

[0023] The present invention has the following beneficial effects:

[0024] This application first screens out the impact period of the working state of the safety valve, and by analyzing the difference and oscillation difference between the impact pressure value and the preset set pressure during the impact period, and combining the change characteristics of the flow data, respectively constructs the pressure abnormal value and the flow abnormal value. Combining the pressure abnormal value and the flow abnormal value, the working state of the safety valve can be judged more comprehensively and accurately. Furthermore, by analyzing the correlation between the pressure abnormal value and the flow abnormal value, a correlation index is constructed, which helps to judge the synchronization between the pressure abnormal value and the flow abnormal value, thereby more accurately evaluating the possibility of whether the working state of the safety valve is abnormal; further, based on the average distribution of the pressure abnormal value and the flow abnormal value, and combined with the correlation index, the abnormal coefficient of the safety valve is constructed, which improves the accuracy of monitoring the working state of the hydraulic support safety valve. Through multi-dimensional data analysis, this application can more accurately obtain the subtle key features caused by faults compared to conventional monitoring methods, and can more comprehensively evaluate the health status of the safety valve, thereby improving the accuracy of monitoring the working state of the hydraulic support safety valve. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 A block diagram of a system for monitoring the healthy working status of a safety valve of a hydraulic support provided in one embodiment of the present application;

[0027] Figure 2 A schematic diagram of the abnormal coefficient extraction process provided for one embodiment of the present application. DETAILED DESCRIPTION

[0028] To further illustrate the technical means and effectiveness of the present invention in achieving its intended objectives, the following, in conjunction with the accompanying drawings and preferred embodiments, provides a detailed description of the specific implementation, structure, features, and effectiveness of a hydraulic support safety valve health monitoring system according to the present invention. In the following description, references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0029] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0030] The specific scheme of the hydraulic support safety valve healthy working status monitoring system provided by the present invention is described in detail below with reference to the accompanying drawings.

[0031] See also Figure 1 , which shows a block diagram of a hydraulic support safety valve healthy working status monitoring system provided by an embodiment of the present invention. The system includes: a data acquisition module 101, a safety valve processing module 102, and a safety valve monitoring module 103.

[0032] The data acquisition module 101 is used to collect the pressure data and flow data of the safety valve in real time.

[0033] During the mining process, hydraulic supports are needed to support the roof and provide a safe working space for miners. The safety valve is installed in the lower cavity of the column. Its function is to prevent the column from being overloaded and to ensure that the hydraulic support can provide stable and appropriate working resistance during operation to ensure its safe operation. The assessment of its health status affects the judgment of the system pressure stability, thereby affecting the efficiency of mine operations. In mining hydraulic devices, the purpose of using a safety valve is to maintain the pressure of the hydraulic system at the set pressure value. The safety valve will automatically open and close according to the size of the system hydraulic pressure and the set pressure of the safety valve, thereby achieving the purpose of pressure relief. Therefore, analyzing the pressure condition is crucial to evaluating whether the safety valve in the hydraulic device is working healthily. Therefore, this embodiment uses a pressure sensor to collect pressure data in the safety valve of the hydraulic support in real time. In addition, the flow rate of the unloading hole can reflect the current pressure relief status of the safety valve on the system pressure and is also an important parameter for judging the opening and closing status of the safety valve. Therefore, a flow sensor is used to synchronously collect the flow data of the unloading hole in real time. The collection frequency of pressure data and flow data is set to f. At this point, the pressure data and flow data inside the valve when the safety valve is working are obtained, which provides a basis for subsequent analysis and judgment of whether the safety valve is in a healthy working state.

[0034] It should be noted that the value of the data acquisition frequency f is set manually. In this embodiment, the value of the acquisition frequency f is 100 Hz. In actual application, as other implementation methods, the implementer can also set it by himself according to the specific situation. Regarding the setting of the acquisition frequency f, this embodiment does not impose any special restrictions.

[0035] The safety valve processing module 102 is used to process the pressure data and flow data obtained by the data acquisition module, and determine the abnormality coefficient of the safety valve by analyzing the distribution characteristics of the pressure data and flow data.

[0036] After the monitoring center obtains relevant data on the safety valve of the hydraulic device in the mine, it extracts and analyzes its change characteristics. Under normal operating conditions, it should be able to maintain stable operation after being subjected to hydraulic shock, and at the same time, it needs to have a high sensitivity to pressure changes. The dynamic change characteristics of the collected pressure data after hydraulic shock are as follows:

[0037] Before a hydraulic shock, the pressure inside the valve is stable, fluctuating within a small range around a certain initial pressure value. After the hydraulic shock, pressure gradually acts on the safety valve spool, causing the pressure inside the valve to rapidly increase. Once it reaches the set pressure, the valve opens. Under the immense hydraulic pressure shock, the pressure inside the valve reaches a peak before dropping to near the set pressure, oscillating around the set pressure with gradually decreasing amplitude. After the pressure is released, the pressure inside the valve decreases, and the pressure inside the valve rapidly decreases from the set pressure to the initial pressure value.

[0038] However, when operating in a mine, hydraulic supports are susceptible to wear and fatigue of parts and the viscosity of hydraulic oil, which can lead to abnormal pressure changes in the safety valve. This is manifested as excessive pressure overshoot, excessive pressure adjustment oscillations, and excessive oscillation amplitude. Based on these characteristics, we analyze the abnormal pressure characteristics. The specific process is as follows:

[0039] (1) Fit all pressure data in each preset time period, and take the maximum value of all maximum values ​​on the pressure fitting curve that is greater than the preset set pressure in each time period as the impact pressure value to obtain the impact period, specifically:

[0040] Before analyzing the dynamic change characteristics, the pressure data portion after the hydraulic shock is first segmented from the collected pressure data inside the safety valve of the hydraulic device. To this end, this embodiment performs a fitting on all the pressure data within each preset time period to obtain a pressure fitting curve. The maximum maximum value of all the maximum values ​​on the pressure fitting curve within each time period that is greater than the preset set pressure is used as the shock pressure value. This shock pressure value is the maximum point of the pressure inside the valve during the opening process of the safety valve.

[0041] Furthermore, on the pressure fitting curve of each time period, the corresponding moment of the minimum value before the impact pressure value and closest to the impact pressure value is taken as the starting time of the impact period, and the corresponding moment of the last fitting value after the impact pressure value that is equal to the preset set pressure is taken as the end time of the impact period to obtain the impact period.

[0042] The value of the preset set pressure is a known parameter of the safety valve. In this embodiment, the maximum working pressure of the hydraulic support safety valve is set to 20 MPa, and the value of the preset set pressure is 18 MPa. In actual application, the implementer can also set it by himself based on actual conditions. This embodiment does not impose any special restrictions.

[0043] It should be noted that the length of the preset time period is manually set. In this embodiment, the value of each time period is 1s. In actual application, the implementer can also set it by himself according to the specific situation. This embodiment does not impose any special restrictions.

[0044] In addition, it should be understood that there are many commonly used fitting methods. In this embodiment, a polynomial function fitting method is used to fit the pressure data. In actual application, as other implementation methods, the implementer may also adopt other fitting methods such as the least squares fitting method based on the specific situation. Regarding the selection of the fitting method, this embodiment does not impose any special restrictions.

[0045] Among them, the polynomial function fitting method is a well-known technology, and its specific principle will not be described in detail. In this embodiment, all fitting-related contents are based on the polynomial function fitting method.

[0046] It should be noted that not all time periods contain impact pressure values. Therefore, for a time period that does not contain an impact pressure value, it is considered that no hydraulic shock occurs during this time period and this time period is not analyzed.

[0047] (2) Compare the difference between the impact pressure value in the current impact period and the preset set pressure to determine the pressure overshoot value in the current impact period; determine the oscillation difference based on the difference between all adjacent extreme values ​​on the pressure fitting curve from the moment of the impact pressure value to the end of the corresponding impact period, and determine the pressure abnormality value of the safety valve in the current impact period in combination with the pressure overshoot value. The specific process is as follows:

[0048] (a) Feature extraction is performed on the pressure data during the current impact period. Because hydraulic supports are exposed to high pressure for extended periods within the mine, their internal components are susceptible to damage and aging. This can cause the safety valve to be subjected to excessive hydraulic shock, resulting in pressure overshoot. The greater the deviation of the peak impact pressure data after the safety valve opens from the set pressure, the greater the overshoot of the safety valve.

[0049] Therefore, the difference between the impact pressure value in the current impact period and the preset set pressure is compared to determine the pressure overshoot value in the current impact period. Specifically:

[0050] In this embodiment, the deviation between the impact pressure value in the current impact period and the preset set pressure is divided by the preset set pressure, which is used as the pressure overshoot value in the current impact period; the greater the deviation between the impact pressure value and the preset set pressure, the more the pressure in the valve exceeds the preset set pressure value when the safety valve is opened. This overshoot may be caused by the abnormal working state of the safety valve and its failure to respond to pressure changes in time. Therefore, the greater the deviation between the impact pressure value and the preset set pressure, the greater the pressure overshoot value, which indicates that the possibility of abnormal working state of the safety valve is greater.

[0051] It should be noted that the deviation between the impact pressure and the preset set pressure is the absolute value of the difference between the impact pressure and the preset set pressure.

[0052] (b) Furthermore, during the oscillation process during pressure adjustment, i.e., the process in which the pressure data decreases from the peak impact pressure to the preset set pressure and gradually stabilizes, the more frequent and larger the oscillation amplitude, the more difficult it is for the pressure inside the valve to quickly return to stability. Therefore, the oscillation difference is determined based on the difference between all adjacent extreme values ​​on the pressure fitting curve from the impact pressure value to the end of the corresponding impact period. Specifically:

[0053] As an implementation method, in this embodiment, the oscillation difference of the current impact period is The expression is: Where, 、 They represent the i-th and i+1-th extreme values ​​on the pressure fitting curve between the impact pressure value in the current impact period and the end time of the current impact period respectively; Indicates the number of all extreme values ​​on the pressure fitting curve between the impact pressure value in the current impact period and the end time of the current impact period.

[0054] According to the abnormal vibration coefficient of each pressure oscillation period, it can be understood that if the number of extreme values ​​on the pressure fitting curve between the pressure value in the current impact period and the end time of the current impact period is greater, it means that the number of oscillations in the pressure adjustment process is greater, and the difference in extreme values ​​between the adjacent moments between the impact pressure value in the current impact period and the end time of the current impact period is greater, it means that the oscillation amplitude in the pressure adjustment process is greater, and the final oscillation difference is greater, indicating that the abnormal oscillation characteristics in the pressure adjustment process are more obvious; conversely, if the number of extreme values ​​on the pressure fitting curve between the pressure value in the current impact period and the end time of the current impact period is smaller, it means that the number of oscillations in the pressure adjustment process is fewer, and the difference in extreme values ​​between the adjacent moments between the impact pressure value in the current impact period and the end time of the current impact period is smaller, it means that the oscillation amplitude in the pressure adjustment process is smaller, and the final abnormal oscillation coefficient is smaller, indicating that the abnormal oscillation characteristics in the pressure adjustment process are less obvious.

[0055] (c) Further, the oscillation difference and the pressure overshoot value are combined to determine the abnormal pressure value of the safety valve during the current impact period, so as to judge whether the working state of the safety valve during the current impact period is abnormal, specifically:

[0056] The pressure anomaly value of the safety valve during the current impact period is the result of the forward fusion of the pressure overshoot value and the oscillation difference during the current impact period.

[0057] It should be understood that forward fusion refers to combining two or more indicators through addition or multiplication to obtain a comprehensive indicator, thereby more comprehensively and accurately evaluating a phenomenon or problem. This fusion method is not limited to simple arithmetic operations and can also include more complex statistical models and analysis methods. Implementers can choose according to their specific circumstances and this embodiment does not impose any special restrictions.

[0058] Preferably, in this embodiment, the pressure abnormality value of the safety valve in the current impact period is the product of the pressure overshoot value and the oscillation difference in the current impact period.

[0059] By analyzing the pressure anomaly value of the safety valve during the current impact period, it can be understood that the pressure anomaly value is used to characterize the possibility that the safety valve is in an abnormal working state. If the pressure overshoot value is larger, it indicates that the impact pressure value is too different from the preset set pressure, and the possibility that the safety valve is in an abnormal working state is greater. The larger the oscillation difference, the greater the difference between adjacent extreme values. The more serious the pressure data oscillation, the greater the possibility that the safety valve is abnormal. The larger the final pressure anomaly value, the greater the possibility that the safety valve is in an abnormal working state during the current impact period.

[0060] On the contrary, if the pressure overshoot value is small, it means that the safety valve can open quickly and effectively when it detects that the pressure exceeds the set value. The greater the possibility that the safety valve is in normal working condition, the smaller the oscillation difference, indicating that the pressure data oscillation is not serious, the pressure change of the safety valve during the opening process is relatively stable, and the smaller the pressure abnormal value obtained is, the greater the possibility that the safety valve is in normal working condition.

[0061] At this point, by analyzing the distribution characteristics of the pressure data in the safety valve, the pressure abnormality value of the safety valve is obtained, which is used to determine whether the safety valve is working abnormally.

[0062] (3) Fit all flow data in the current impact period, and determine the flow abnormality value of the safety valve in the current impact period by combining the average kurtosis of all peaks on the integrated flow fitting curve and the discrete degree of all peak values. Specifically:

[0063] After a hydraulic shock, if there is wear on parts or insufficient sealing, the flow rate data during the opening and closing process will also show corresponding abnormal characteristics. Specifically, due to the unstable pressure relief of the hydraulic device's safety valve, the hydraulic oil flow rate may experience multiple rapid increases and decreases during the discharge process, resulting in multiple sharp peaks in the flow change curve. The greater the degree of confusion between the peak positions and the sharper the peaks, the more susceptible the safety valve is to interference during the discharge process of hydraulic oil, thereby affecting pressure relief.

[0064] Based on the above characteristics, the change characteristics of the flow data when the hydraulic device is working are analyzed. By fitting all the flow data in the current impact period, the average kurtosis of all peaks on the integrated flow fitting curve and the discrete degree of all peaks are considered to determine the flow abnormality value of the safety valve in the current impact period, thereby judging whether the safety valve has any abnormality. Specifically:

[0065] In this embodiment, a polynomial function fitting method is used to fit all flow data in the current impact period to obtain a flow fitting curve. The flow anomaly value of the safety valve in the current impact period is the result of the positive fusion of the average kurtosis of all peaks on the flow fitting curve of the current impact period and the discrete degree of all peak peaks.

[0066] Preferably, in this embodiment, the product of the average kurtosis of all peaks on the flow fitting curve in the current impact period and the degree of dispersion of all peak values ​​is used as the flow abnormality value of the safety valve in the current impact period.

[0067] The calculation method of kurtosis is a well-known technology, and its specific calculation process will not be described in detail.

[0068] According to the flow anomaly value of the safety valve in the current impact period, it can be understood that the greater the kurtosis of the peak, the greater the average kurtosis obtained. Kurtosis is a statistic used to describe the shape of data distribution. The larger the average kurtosis, the sharper the peak in the flow data is than the normal distribution. In the hydraulic support safety valve, this means that the flow change during the opening and closing process of the safety valve is not smooth, but a rapid pressure release and stop. This may be due to internal wear or other mechanical problems of the safety valve, indicating that the safety valve is more likely to be abnormal in the working state during the current period; and the greater the degree of dispersion of the peak value, the greater the difference between the peaks, that is, the fluctuation amplitude and frequency of the flow are inconsistent, indicating that the safety valve's pressure relief process is unstable, and the possibility of the safety valve being abnormal is greater. Therefore, the larger the flow anomaly value, the greater the possibility of the safety valve's working state being abnormal during the current impact period;

[0069] On the contrary, if the peak kurtosis is small and the average kurtosis is also small, the small kurtosis means that the peak in the flow data is not as sharp as the normal distribution, which indicates that the flow change during the opening and closing process of the safety valve is relatively stable, indicating that the safety valve may be in good working condition; the smaller the dispersion of the peak value, the more consistent the fluctuation amplitude and frequency of the flow, and the stable pressure relief process of the safety valve. Therefore, the smaller the final flow anomaly value, the greater the possibility that the safety valve is in good working condition during the current impact period.

[0070] At this point, by analyzing the changing characteristics of the flow data in the safety valve, the abnormal flow value of the safety valve is obtained, and further judgment is made on whether the safety valve is working abnormally.

[0071] (4) Analyze the correlation between the pressure abnormal values ​​and flow abnormal values ​​in the current impact period and the preset number of impact periods before it, and determine the correlation index of the current impact period; analyze the average distribution of all pressure abnormal values ​​and all flow abnormal values ​​in the current impact period and the preset number of impact periods before it, and determine the comprehensive abnormal value. Combined with the correlation index, determine the abnormal coefficient of the safety valve in the current impact period, specifically:

[0072] (a) Analyze the correlation between the abnormal pressure and abnormal flow values ​​during the current impact period and the number of consecutive impact periods before it, and determine the correlation index of the current impact period to determine whether the safety valve has failed.

[0073] When a safety valve is operating normally, changes in pressure and flow data are relatively synchronized. However, a fault can cause the feedback regulation mechanism between pressure and flow to fail, reducing this synchronization. For example, when the pressure within the valve does not significantly overshoot and the pressure regulation is stable, the flow rate of the discharged hydraulic oil is also relatively stable. However, faults such as internal component wear can cause varying degrees of abnormal pressure and flow within the valve. Therefore, under the influence of different fault factors, the greater the difference between the abnormal pressure and flow values, the greater the difference between the abnormal pressure and flow values.

[0074] Therefore, based on the above analysis, the correlation index of the current impact period is determined by analyzing the correlation between the pressure anomaly values ​​and the flow anomaly values ​​in the current impact period and the previous preset number of impact periods. The specific process includes:

[0075] The correlation index of the current impact period is the absolute value of the correlation coefficient between the pressure abnormal value and the flow abnormal value in the current impact period and a preset number of consecutive impact periods before it.

[0076] It should be noted that, in this embodiment, the Pearson correlation coefficient is used as a method for calculating the correlation coefficient between the pressure abnormal value and the flow abnormal value. In actual application, there are many methods for measuring the correlation between data groups, such as the Spearman correlation coefficient or the Kendall rank correlation coefficient. As other implementation methods, the implementer can also choose according to the specific situation.

[0077] The calculation method of the Pearson correlation coefficient is a well-known technique, and the specific calculation process will not be described in detail.

[0078] It should be noted that the value of the preset number is set manually. In this embodiment, the value of the preset number is 10. The implementer can also set it by himself according to the specific situation. This embodiment does not impose any special restrictions.

[0079] (b) Analyze the average distribution of all pressure abnormal values ​​and all flow abnormal values ​​in the current impact period and the preset number of consecutive impact periods before it, determine the comprehensive abnormal value, and determine the abnormal coefficient of the safety valve in the current impact period in combination with the relevant index.

[0080] Due to the complex underground operating environment, the safety valve of a hydraulic support may occasionally experience abnormal pressure relief due to contaminants in the hydraulic system or external loads exceeding the rated working pressure. These occasional pressure relief anomalies are not caused by a malfunction of the safety valve itself. However, if the safety valve's operating status exhibits certain abnormal characteristics under multiple hydraulic shocks, it indicates that the safety valve is in a poor working condition.

[0081] Based on the above analysis, the average distribution of all pressure abnormal values ​​and all flow abnormal values ​​in the current impact period and the preset number of consecutive impact periods before it is analyzed respectively to determine the comprehensive abnormal value. In combination with the relevant index, the abnormal coefficient of the safety valve in the current impact period is determined to judge the working status of the safety valve, specifically:

[0082] The sum of the mean values ​​of all pressure anomalies and the mean values ​​of all flow anomalies in the current impact period and the preset number of consecutive impact periods before it is calculated and recorded as the comprehensive anomaly value in the current impact period, which is used to characterize the possibility of abnormal safety valve failure. The larger the mean value of the pressure anomaly, the greater the possibility of safety valve abnormality; the larger the mean value of the flow anomaly, the greater the possibility of safety valve failure. The final comprehensive anomaly value means that the working condition of the safety valve in the current impact period is poor.

[0083] Furthermore, the ratio of the comprehensive abnormal value of the current impact period to the correlation index is used as the abnormal coefficient of the safety valve in the current impact period, which is used to characterize the possibility of abnormality or failure of the safety valve. The larger the comprehensive abnormal value, the larger the pressure abnormal value and the flow abnormal value, which indicates that the possibility of the safety valve being in an abnormal working state in the current period is greater, and the smaller the correlation index, the smaller the correlation between the pressure abnormal value and the flow abnormal value, which indicates that the possibility of the safety valve being in an abnormal working state is greater; conversely, if the comprehensive abnormal value is smaller, the comprehensive abnormal value is smaller, the pressure abnormal value and the flow abnormal value are smaller, which indicates that the possibility of the safety valve being in an abnormal working state in the current period is smaller, and the larger the correlation index, the greater the correlation between the pressure abnormal value and the flow abnormal value, which indicates that the possibility of the safety valve being in an abnormal working state is smaller.

[0084] At this point, by analyzing the synchronous change characteristics between the abnormal pressure values ​​and the abnormal flow values ​​in different time periods, as well as the distribution characteristics of the abnormal pressure values ​​and the abnormal flow values, the abnormality coefficient of the safety valve is obtained, which is used to judge the working status of the safety valve.

[0085] Preferably, the schematic diagram of the abnormal coefficient extraction process provided in this embodiment is as follows Figure 2 shown.

[0086] The safety valve monitoring module 103 is configured to evaluate the current working status of the safety valve based on the abnormality coefficient.

[0087] Based on the safety valve processing module 102, the abnormal coefficient of the safety valve in the current period is obtained, which is used to judge the healthy working status of the safety valve, specifically:

[0088] To facilitate quantitative evaluation, if the normalized value of the safety valve's abnormality coefficient during the current impact period is greater than or equal to the preset threshold, the safety valve is in an abnormal working state; otherwise, the safety valve is in a normal working state.

[0089] It should be noted that the value of the preset threshold is set manually. In this embodiment, the value of the preset threshold is 0.7. The implementer can also set it by himself according to the specific situation. This embodiment does not impose any special restrictions.

[0090] Based on the monitoring results of the healthy working status of the safety valve, the monitored working status information of the safety valve is fed back to the relevant production operators and displayed on the screen of the monitoring center so that the health status of the safety valve can be understood in a timely manner.

[0091] It should be noted that the working status interval is manually set. In this embodiment, the working status interval is divided into three. In actual application, the implementer can also set the number and size of the working status interval according to the specific situation. This embodiment does not impose any special restrictions.

[0092] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0093] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

[0094] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A hydraulic support safety valve health status monitoring system, characterized in that: The system comprises: Data acquisition module, used to collect pressure data and flow data of safety valve in real time; The safety valve processing module is used to fit all pressure data in each preset time period, and take the maximum maximum value of all maximum values ​​on the pressure fitting curve in each time period that is greater than the preset set pressure as the impact pressure value to obtain the impact period; Comparing the difference between the impact pressure value in the current impact period and the preset set pressure to determine the pressure overshoot value in the current impact period; determining the oscillation difference based on the difference between all adjacent extreme values ​​on the pressure fitting curve from the time of the impact pressure value to the end time of the corresponding impact period, and combining the pressure overshoot value to determine the pressure abnormality value of the safety valve in the current impact period; Fit all flow data in the current impact period, and determine the flow abnormality value of the safety valve in the current impact period by combining the average kurtosis of all peaks on the flow fitting curve and the dispersion of all peak values; Analyze the correlation between the pressure abnormal values ​​and the flow abnormal values ​​in the current impact period and the preset number of consecutive impact periods before it to determine the correlation index of the current impact period; analyze the average distribution of all pressure abnormal values ​​and all flow abnormal values ​​in the current impact period and the preset number of consecutive impact periods before it to determine the comprehensive abnormal value, and determine the abnormal coefficient of the safety valve in the current impact period in combination with the correlation index; The safety valve monitoring module is used to evaluate the current working status of the safety valve based on the abnormality coefficient.

2. A hydraulic support safety valve healthy working status monitoring system according to claim 1, characterized in that: The method for obtaining the impact period is: On the pressure fitting curve of each time period, the time corresponding to the minimum value before the impact pressure value and closest to the impact pressure value is taken as the starting time of the impact period, and the time corresponding to the last fitting value after the impact pressure value that is equal to the preset set pressure is taken as the end time of the impact period.

3. The hydraulic support safety valve healthy working status monitoring system according to claim 1 is characterized in that: The pressure overshoot value of the current impact period is a result of dividing the deviation between the impact pressure value in the current impact period and the preset set pressure by the preset set pressure.

4. A hydraulic support safety valve healthy working status monitoring system according to claim 1, characterized in that: The expression of the oscillation difference is: Where, Indicates the oscillation difference of the current shock period; 、 They represent the i-th and i+1-th extreme values ​​on the pressure fitting curve between the impact pressure value in the current impact period and the end time of the current impact period respectively; Indicates the number of all extreme values ​​on the pressure fitting curve between the impact pressure value in the current impact period and the end time of the current impact period.

5. The hydraulic support safety valve healthy working status monitoring system according to claim 1 is characterized in that: The abnormal pressure value of the safety valve during the current impact period is a result of forward fusion of the pressure overshoot value and the oscillation difference during the current impact period.

6. The hydraulic support safety valve healthy working status monitoring system according to claim 1 is characterized in that: The flow anomaly value of the safety valve during the current impact period is a result of a positive fusion of the average kurtosis of all peaks on the flow fitting curve during the current impact period and the discrete degrees of all peak values.

7. The hydraulic support safety valve healthy working status monitoring system according to claim 1 is characterized in that: The correlation index of the current impact period is the absolute value of the correlation coefficient between the pressure abnormal value and the flow abnormal value in the current impact period and a preset number of consecutive impact periods before the current impact period.

8. The hydraulic support safety valve healthy working status monitoring system according to claim 1 is characterized in that: The comprehensive abnormal value is the sum of the average values ​​of all pressure abnormal values ​​and the average values ​​of all flow abnormal values ​​in the current impact period and the preset number of impact periods before it.

9. The hydraulic support safety valve healthy working status monitoring system according to claim 1 is characterized in that: The abnormal coefficient of the safety valve during the current impact period is the ratio of the comprehensive abnormal value during the current impact period to the relevant index.

10. The hydraulic support safety valve healthy working status monitoring system according to claim 1, characterized in that: The evaluation of the current working status of the safety valve includes: If the normalized value of the abnormality coefficient of the safety valve in the current impact period is greater than or equal to the preset threshold, the working state of the safety valve is abnormal; otherwise, the working state of the safety valve is normal.

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