Hydraulic support safety valve healthy working state monitoring system

Abstract

The invention relates to the technical field of safety valve working state monitoring, in particular to a hydraulic support safety valve healthy working state monitoring system. The system comprises a data acquisition module used for acquiring pressure data and flow data of a safety valve in real time; the safety valve processing module is used for analyzing the difference between the impact pressure value and the preset set pressure in the impact time period and the oscillation difference, and constructing a pressure abnormal value and a flow abnormal value in combination with the change characteristic of the flow data; a correlation index is constructed by analyzing the correlation between the pressure abnormal value and the flow abnormal value, and the abnormal coefficient of the safety valve is determined by combining the average distribution of the pressure abnormal value and the flow abnormal value; and the safety valve monitoring module is used for evaluating the working state of the current safety valve based on the abnormal coefficient. The invention aims to improve the accuracy of monitoring the healthy working state of the safety valve.

Description

Technical Field

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

[0002] The safety valve of a hydraulic support is an automatic pressure relief device driven by the medium pressure, mainly used in mine support equipment. Its core function is to automatically open and release the excess pressure when the pressure in the hydraulic support column exceeds the set value, preventing the column from being damaged due to overload, thereby protecting the structural safety of the hydraulic support. The safety valve of a hydraulic support is mainly applied to the fully mechanized coal mining face underground in coal mines, used to support the roof and prevent the roof from collapsing. In a complex mine environment, especially in areas with large mining heights or frequent rock bursts, the role of the safety valve is particularly important. Monitoring the healthy working state of the safety valve of a hydraulic support can timely detect abnormalities of the safety valve and ensure the safety of production operations.

[0003] The safety valve of a hydraulic support is installed in the lower cavity of the column, and its function is to prevent the column and the jack from being overloaded and ensure their safe operation. Since the safety valve works under high pressure for a long time, it is required that the safety valve has sensitive action, stable operation and long service life. The safety valves used on hydraulic supports are often direct-acting safety valves, which have a simple structure and can quickly achieve the effect of unloading and overflowing when overloaded. During use, the safety valve may malfunction due to part wear and fatigue and the influence of the viscosity of the hydraulic oil. Existing detection methods usually judge whether the hydraulic support is abnormal based on the change range of pressure data, and do not fully consider the deep features shown due to the above influences in actual applications, thus reducing the accuracy of monitoring the healthy working state 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 monitoring system for the healthy working state of a safety valve of a hydraulic support, and the specific technical solution adopted is as follows:

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

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

[0007] A safety valve processing module, used to fit all the pressure data within preset time periods, and take the maximum maximum value greater than the preset set pressure among all the maximum values on the pressure fitting curve within each time period as the impact pressure value to obtain the impact time period;

[0008] Compare the difference between the impact pressure value and the preset set pressure during the current impact period to determine the pressure overshoot value of the current impact period; based on the difference between all adjacent extreme values on the pressure fitting curve from the moment when the impact pressure value is located to the end moment of the corresponding impact period, determine the oscillation difference, and combine the pressure overshoot value to determine the pressure anomaly value of the safety valve under the current impact period;

[0009] Fit all the flow data during the current impact period, and determine the flow anomaly value of the safety valve under the current impact period by comprehensively considering the average kurtosis of all wave peaks and the degree of dispersion of all wave peak values on the flow fitting curve;

[0010] Analyze the correlation between the pressure anomaly value and the flow anomaly value under the current impact period and the previous consecutive preset number of impact periods, and determine the correlation index of the current impact period; respectively analyze the average distribution of all pressure anomaly values and all flow anomaly values under the current impact period and the previous consecutive preset number of impact periods, determine the comprehensive anomaly value, and combine the correlation index to determine the anomaly coefficient of the safety valve under the current impact period;

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

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

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

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

[0015] Preferably, the expression of the oscillation difference is: ; in the formula, represents the oscillation difference of the current impact period; 、 respectively represent the i-th and (i + 1)-th extreme values on the pressure fitting curve from the impact pressure value to the end moment of the current impact period under the current impact period; represents the number of all extreme values on the pressure fitting curve from the impact pressure value to the end moment of the current impact period under the current impact period.

[0016] Preferably, the pressure anomaly value of the safety valve under the current impact period is the result of the positive fusion of the pressure overshoot value and the oscillation difference of the current impact period.

[0017] Preferably, the flow rate anomaly value of the safety valve in the current impact period is the result of the positive fusion of the average kurtosis of all wave peaks on the flow rate fitting curve in the current impact period and the degree of dispersion of all wave peak values.

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

[0019] Preferably, the comprehensive anomaly value is the sum of the average values of all pressure anomaly values and all flow rate anomaly values in the current impact period and the previous consecutive preset number of impact periods.

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

[0021] Preferably, the evaluation of the working state of the current safety valve includes:

[0022] If the normalized value of the anomaly 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] The present application first screens out the impact periods of the working state of the safety valve. By analyzing the difference between the impact pressure value and the preset set pressure and the oscillation difference during the impact period, and combining the change characteristics of the flow rate data, the pressure anomaly value and the flow rate anomaly value are respectively constructed. By synthesizing the pressure anomaly value and the flow rate anomaly value, the working state of the safety valve can be judged more comprehensively and accurately. Further, by analyzing the correlation between the pressure anomaly value and the flow rate anomaly value, a correlation index is constructed, which helps to judge the synchronization between the pressure anomaly value and the flow rate anomaly value, so as to more accurately evaluate the possibility of whether the working state of the safety valve is abnormal; further, based on the average distribution of the pressure anomaly value and the flow rate anomaly value, and combining the correlation index, the anomaly coefficient of the safety valve is constructed, which improves the accuracy of monitoring the working state of the safety valve of the hydraulic support. Through multi-dimensional data analysis, the present application can obtain more accurately the subtle key features caused by faults compared with the conventional monitoring methods, and can more comprehensively evaluate the health state of the safety valve, thus improving the accuracy of monitoring the working state of the safety valve of the hydraulic support. Description of the Drawings

[0025] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0026] Figure 1 The block diagram of a monitoring system for the healthy working state of a hydraulic support safety valve provided by an embodiment of the present application;

[0027] Figure 2 The schematic diagram of the abnormal coefficient extraction process provided by an embodiment of the present application. Detailed implementation manners

[0028] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following, in combination with the drawings and preferred embodiments, details the specific implementation manners, structures, features and effects of a monitoring system for the healthy working state of a hydraulic support safety valve proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

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

[0030] The following specifically describes the specific solution of a monitoring system for the healthy working state of a hydraulic support safety valve provided by the present invention in conjunction with the drawings.

[0031] Please refer to Figure 1 , which shows the block diagram of a monitoring system for the healthy working state of a hydraulic support safety valve 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 overloading and 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 system pressure stability, which in turn affects 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 state of the safety valve on the system pressure, and is also an important parameter for judging the opening and closing state 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 the pressure data and the 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 artificially set. 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 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 abnormal coefficient of the safety valve by analyzing the distribution characteristics of the pressure data and flow data.

[0036] After the monitoring center obtains the relevant data of the safety valve of the hydraulic device in the mine, it extracts and analyzes its change characteristics. Under normal operating conditions, it should have the ability to operate stably 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 the hydraulic shock, the pressure data in the valve is in a stable state with a small range of fluctuations near a certain initial pressure value. After the hydraulic shock, the pressure will gradually act on the valve core of the safety valve, causing the pressure in the safety valve to increase rapidly. When it rises to the set pressure of the safety valve, the valve opens. Under the huge hydraulic pressure shock, the pressure data in the valve will reach a peak value, and then drop to near the set pressure, and go through an oscillation and shaking process with a gradually decreasing amplitude above and below the set pressure. After the pressure relief is completed, the pressure in the valve decreases, and the pressure data in the valve quickly decreases from the set pressure to the initial pressure value.

[0038] However, when the hydraulic support works in the mine, it is easily affected by component wear and fatigue and the viscosity of the hydraulic oil, resulting in abnormal changes in the pressure inside the safety valve, manifested as excessive overshoot of the pressure, too many oscillation times in pressure adjustment, and too large oscillation amplitude. Therefore, based on this characteristic, the abnormal pressure characteristics are analyzed, and the specific process is as follows:

[0039] (1) Fit all the pressure data within the preset time periods. Among all the maximum values on the pressure fitting curve within each time period that are greater than the preset set pressure, the largest maximum value is taken as the impact pressure value to obtain the impact time period. Specifically:

[0040] Before analyzing the dynamic change characteristics, first, the part of the pressure data affected by hydraulic shock is segmented from the pressure data inside the safety valve of the hydraulic device collected. For this purpose, in this embodiment, all the pressure data within the preset time periods are fitted to obtain a pressure fitting curve; among all the maximum values on the pressure fitting curve within each time period that are greater than the preset set pressure, the largest maximum value is taken as the impact pressure value, and this impact pressure value is the maximum value 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 moment corresponding to the minimum value closest to the impact pressure value before the impact pressure value is taken as the start moment of the impact time period, and the moment corresponding to the last fitting value equal to the preset set pressure after the impact pressure value is taken as the end moment of the impact time period to obtain the impact time 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 safety valve of the hydraulic support is set to 20 MPa, and the value of the preset set pressure is 18 MPa. In the actual application process, the implementer can also set it according to the actual situation by himself, and this embodiment does not make special restrictions.

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

[0044] In addition, it should be understood that there are many common fitting methods. In this embodiment, the polynomial function fitting method is used to fit the pressure data. In the actual application process, as other implementation manners, the implementer can also adopt other fitting methods such as the least square fitting method according to the specific situation. Regarding the selection of the fitting method, this embodiment does not make special restrictions.

[0045] Among them, the polynomial function fitting method is a well-known technology, and its specific principle will not be elaborated. In this embodiment, whenever it comes to the content related to fitting, the polynomial function fitting method is adopted.

[0046] It should be noted that not all time periods contain impact pressure values. Therefore, for time periods without impact pressure values, it is considered that no hydraulic impact occurs during these time periods, and these time periods are not analyzed.

[0047] (2) Compare the difference between the impact pressure value and the preset adjusted pressure during the current impact time period to determine the pressure overshoot value of the current impact time period; based on the differences between all adjacent extreme values on the pressure fitting curve from the moment when the impact pressure value is located to the end moment of the corresponding impact time period, determine the oscillation difference, and combine the pressure overshoot value to determine the pressure anomaly value of the safety valve under the current impact time period. The specific process is as follows:

[0048] (a) Extract the characteristics of the pressure data during the current impact time period. Since the hydraulic support is in a high-pressure state in the mine for a long time, its internal parts are prone to breakage and aging, resulting in excessive hydraulic impact on the safety valve and pressure overshoot. The greater the degree of deviation of the impact pressure peak data from the adjusted pressure after the safety valve is opened, the greater the overshoot degree of the safety valve.

[0049] Therefore, compare the difference between the impact pressure value and the preset adjusted pressure during the current impact time period to determine the pressure overshoot value of the current impact time period. Specifically:

[0050] In this embodiment, the result of dividing the deviation between the impact pressure value and the preset adjusted pressure during the current impact time period by the preset adjusted pressure is used as the pressure overshoot value of the current impact time period; the greater the deviation between the impact pressure value and the preset adjusted pressure, it indicates that when the safety valve is opened, the pressure inside the valve exceeds the preset adjusted pressure value more. This kind of overshoot may be due to the abnormal working state of the safety valve and the failure to respond to the pressure change in time. Therefore, the greater the deviation between the impact pressure value and the preset adjusted pressure, the greater the pressure overshoot value, indicating that the possibility of the abnormal working state of the safety valve is greater.

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

[0052] (b) Further, during the oscillation process of pressure adjustment, that is, the process in which the pressure data decreases from the impact pressure peak to the preset adjusted pressure and gradually stabilizes. If the number of oscillations is more and the oscillation amplitude is greater, it indicates that the pressure inside the valve is more difficult to quickly return to stability. Therefore, based on the differences between all adjacent extreme values on the pressure fitting curve from the impact pressure value to the end moment of the corresponding impact time period, determine the oscillation difference. Specifically:

[0053] As an implementation manner, in this embodiment, the oscillation difference of the current impact time period The expression is: ; in the formula, , respectively represent the i-th and (i + 1)-th extreme values on the pressure fitting curve between the impact pressure value at the current impact period and the end time of the current impact period; represents the number of all extreme values on the pressure fitting curve between the impact pressure value at the current impact period and the end time of the current impact period.

[0054] It can be understood from the abnormal vibration coefficients of each pressure oscillation period that if the number of extreme values on the pressure fitting curve between the pressure value at the current impact period and the end time of the current impact period is larger, it indicates that the number of oscillations during the pressure adjustment process is more. The greater the difference between adjacent extreme values between the impact pressure value at the current impact period and the end time of the current impact period, it indicates that the oscillation amplitude during the pressure adjustment process is larger, and the ultimately obtained oscillation difference is larger, indicating that the abnormal oscillation characteristics during the pressure adjustment process are more obvious; on the contrary, if the number of extreme values on the pressure fitting curve between the pressure value at the current impact period and the end time of the current impact period is smaller, it indicates that the number of oscillations during the pressure adjustment process is less. The smaller the difference between adjacent extreme values between the impact pressure value at the current impact period and the end time of the current impact period, it indicates that the oscillation amplitude during the pressure adjustment process is smaller, and the ultimately obtained abnormal vibration coefficient is smaller, indicating that the abnormal oscillation characteristics during the pressure adjustment process are less obvious.

[0055] (c) Further, by comprehensively considering the oscillation difference and the pressure overshoot value, determine the pressure anomaly value of the safety valve under the current impact period to judge whether the working state of the safety valve under the current impact period is abnormal. Specifically:

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

[0057] It should be understood that positive fusion means combining two or more indicators through addition, multiplication, or other means in order to obtain a comprehensive indicator, so as to more comprehensively and accurately evaluate a certain phenomenon or problem. This fusion method is not limited to simple arithmetic operations, but can also include more complex statistical models and analysis methods. The implementer can choose according to the specific situation, and this embodiment does not make special restrictions.

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

[0059] It can be understood by analyzing the abnormal pressure value of the safety valve during the current impact period. The abnormal pressure value is used to characterize the possibility of the abnormal working state of the safety valve. If the pressure overshoot value is larger, it indicates that the impact pressure value deviates too much from the preset pressure setting, and the possibility of the safety valve being in an abnormal working state is greater. Moreover, the greater the oscillation difference, the greater the difference between adjacent extreme values, and the more severe the oscillation of the pressure data, which indicates that the possibility of the safety valve being abnormal is greater. The ultimately obtained abnormal pressure value is larger, indicating that the possibility of the safety valve being in an abnormal working state during the current impact period is greater;

[0060] On the contrary, if the pressure overshoot value is smaller, it means that the safety valve can open quickly and effectively when detecting that the pressure exceeds the set value, and the possibility of the safety valve being in a normal working state is greater. The smaller the oscillation difference, the less severe the oscillation of the pressure data, and the more stable the pressure change during the opening process of the safety valve. The obtained abnormal pressure value is also smaller, indicating that the possibility of the safety valve being in a normal working state is greater.

[0061] So far, by analyzing the distribution characteristics of the pressure data inside the safety valve, the abnormal pressure value of the safety valve has been obtained, which is used to judge whether the safety valve works abnormally.

[0062] (3)Fit all the flow data during the current impact period, and determine the abnormal flow value of the safety valve during the current impact period by synthesizing the average kurtosis of all the wave peaks and the dispersion degree of all the wave peak values on the flow fitting curve. Specifically:

[0063] After being affected by hydraulic shock, if there is component wear or insufficient sealing, the flow data during its opening and closing process will also show corresponding abnormal characteristics. Specifically, due to the instability of the pressure relief of the hydraulic device safety valve, the flow rate of the hydraulic oil may increase and decay rapidly multiple times during the discharge process, making the flow rate change curve show multiple sharp peaks. The greater the degree of chaos between the positions of each peak and the higher the sharpness of the peak, the more easily the process of discharging the hydraulic oil by the safety valve is interfered by the above defects, thereby affecting the pressure relief.

[0064] According to the above characteristics, analyze the change characteristics of the flow data during the operation of the hydraulic device. By fitting all the flow data during the current impact period, and synthesizing the average kurtosis of all the wave peaks and the dispersion degree of all the wave peak values on the flow fitting curve, determine the abnormal flow value of the safety valve during the current impact period, so as to judge whether the safety valve is abnormal. Specifically:

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

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

[0067] Among them, the calculation method of kurtosis is a well-known technology, and its specific calculation process will not be elaborated here.

[0068] It can be understood from the flow anomaly value of the safety valve in the current impact period 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 greater the average kurtosis, it indicates that the peaks in the flow data are sharper than the normal distribution. In the safety valve of the hydraulic support, it means that the change of the flow rate during the opening and closing of the safety valve is not stable, but a rapid pressure release and stop, which may be caused by internal wear or other mechanical problems of the safety valve, indicating that the possibility of the abnormal working state of the safety valve in the current period is greater; and the greater the degree of dispersion of the peak values, it means that the difference between each peak value is larger, that is, the fluctuation amplitude and frequency of the flow rate are inconsistent, indicating that the pressure relief process of the safety valve is unstable and the possibility of the safety valve being abnormal is greater. Therefore, the greater the flow anomaly value, the greater the possibility that the safety valve is in an abnormal working state in the current impact period;

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

[0070] So far, by analyzing the change characteristics of the flow data in the safety valve, the flow anomaly value of the safety valve has been obtained, and further judgment has been made on whether the safety valve works abnormally.

[0071] (4) Analyze the correlation between the pressure anomaly value and the flow anomaly value in the current impact period and the previous consecutive preset number of impact periods, and determine the correlation index of the current impact period; respectively analyze the average distribution of all the pressure anomaly values and all the flow anomaly values in the current impact period and the previous consecutive preset number of impact periods, determine the comprehensive anomaly value, and combine the correlation index to determine the anomaly coefficient of the safety valve in the current impact period, specifically:

[0072] (a) Analyze the correlation between the pressure anomaly value and the flow anomaly value in the current impact period and the previous consecutive preset number of impact periods, and determine the correlation index of the current impact period to judge whether the safety valve fails.

[0073] Under the normal working condition of the safety valve, the changes in pressure and flow rate data have a certain degree of synchronization. However, a fault will cause the feedback regulation mechanism between pressure and flow rate to fail, resulting in a decrease in the synchronization of their changes. For example, when the pressure inside the valve does not have a significant 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 will cause abnormal characteristics of different degrees in the pressure and flow rate inside the valve. Therefore, under the influence of different fault factors, the difference between the obtained pressure abnormal value and the flow rate abnormal value is greater.

[0074] Therefore, based on the above analysis, by analyzing the correlation between the pressure abnormal value and the flow rate abnormal value in the current impact period and the previous consecutive preset number of impact periods, the correlation index of the current impact period is determined. 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 rate abnormal value in the current impact period and the previous consecutive preset number of impact periods.

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

[0077] Among them, the calculation method of the Pearson correlation coefficient is a well-known technology, and its specific calculation process will not be elaborated here.

[0078] It should be added 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 according to the specific situation, and this embodiment does not make special restrictions.

[0079] (b) Analyze the average distribution of all pressure abnormal values and all flow rate abnormal values in the current impact period and the previous consecutive preset number of impact periods respectively, determine the comprehensive abnormal value, and combine the correlation index to determine the abnormal coefficient of the safety valve in the current impact period.

[0080] Due to the complex underground operation environment, the safety valve of the hydraulic support may occasionally experience pressure relief abnormalities caused by contaminants in the hydraulic device or external loads exceeding the rated working pressure. These occasional pressure relief abnormalities are not caused by the failure of the safety valve itself. However, if the working state of the safety valve shows certain abnormal characteristics under multiple hydraulic shocks, it indicates that the working state of the safety valve is less healthy.

[0081] Based on the above analysis, the average distributions of all pressure outliers and all flow outliers in the current impact period and the previous consecutive preset number of impact periods are analyzed respectively to determine the comprehensive outlier, and combined with the relevant index, the outlier coefficient of the safety valve in the current impact period is determined to judge the working state of the safety valve, specifically as follows:

[0082] Calculate the sum result of the mean values of all pressure outliers and all flow outliers in the current impact period and the previous consecutive preset number of impact periods, which is denoted as the comprehensive outlier in the current impact period and is used to characterize the possibility of safety valve failure and abnormality. The larger the mean value of the pressure outliers, the greater the possibility of safety valve abnormality; the larger the mean value of the flow outliers, the greater the possibility of safety valve failure. Finally, obtaining the comprehensive outlier means that the working state of the safety valve in the current impact period is poor.

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

[0084] So far, by analyzing the synchronous change characteristics between the pressure outliers and the flow outliers in different periods, as well as the distribution characteristics of the pressure outliers and the flow outliers, the outlier coefficient of the safety valve is obtained, which is used to judge the working state of the safety valve.

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

[0086] The safety valve monitoring module 103 is used to evaluate the working state of the current safety valve based on the outlier coefficient.

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

[0088] For the convenience of quantitative evaluation, if the normalized value of the outlier 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.

[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. Implementers can also set it by themselves according to specific situations, and this embodiment does not make special restrictions.

[0090] According to the monitoring results of the healthy working state of the safety valve, the monitored working state information of the safety valve is fed back to relevant production operators and displayed on the screen of the monitoring center, so as to timely understand the health status of the safety valve.

[0091] It should be noted that the working state interval is set manually. In this embodiment, the working state interval is divided into three. In the actual application process, implementers can also set the number and size of the working state intervals by themselves according to specific situations, and this embodiment does not make special restrictions.

[0092] It should be noted that the above-mentioned sequence of the embodiments of the present invention is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0093] Each embodiment in this specification is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and the key point of each embodiment is to illustrate the differences from other embodiments.

[0094] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A monitoring system for the healthy working state of a hydraulic support safety valve, characterized in that, The system includes: A data acquisition module for real-time acquisition of the pressure data and flow rate data of the safety valve; A safety valve processing module for fitting all the pressure data within preset time periods, and taking the maximum maximum value greater than the preset set pressure among all the maximum values on the pressure fitting curve within each time period as the impact pressure value to obtain the impact time period; Comparing the difference between the impact pressure value and the preset set pressure within the current impact time period to determine the pressure overshoot value of the current impact time period; determining the oscillation difference based on the difference between all adjacent extreme values on the pressure fitting curve from the moment when the impact pressure value is located to the end moment of the corresponding impact time period, and combining the pressure overshoot value to determine the pressure anomaly value of the safety valve under the current impact time period; Fitting all the flow rate data within the current impact time period, and determining the flow rate anomaly value of the safety valve under the current impact time period by synthesizing the average kurtosis of all the wave peaks and the dispersion degree of all the wave peak values on the flow rate fitting curve; Analyzing the correlation between the pressure anomaly value and the flow rate anomaly value under the current impact time period and the previous consecutive preset number of impact time periods to determine the correlation index of the current impact time period; respectively analyzing the average distribution of all the pressure anomaly values and all the flow rate anomaly values under the current impact time period and the previous consecutive preset number of impact time periods to determine the comprehensive anomaly value, and combining the correlation index to determine the anomaly coefficient of the safety valve under the current impact time period; A safety valve monitoring module for evaluating the working state of the current safety valve based on the anomaly coefficient; 2. The health working state monitoring system of a hydraulic support safety valve according to claim 1, characterized in that The method for obtaining the impact time period is: On the pressure fitting curve of each time period, taking the corresponding moment of the minimum value that is before the impact pressure value and closest to the impact pressure value as the start moment of the impact time period, and taking the corresponding moment of the last fitting value that is equal to the preset set pressure after the impact pressure value as the end moment of the impact time period.

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

4. The health working state monitoring system for a hydraulic support safety valve according to claim 1, wherein, The expression for the oscillation difference is as follows: ; where represents the oscillation difference in the current impact period; , respectively represent the i-th and (i + 1)-th extreme values on the pressure fitting curve from the impact pressure value to the end time of the current impact period in the current impact period; represents the number of all extreme values on the pressure fitting curve from the impact pressure value to the end time of the current impact period in the current impact period.

5. The health working state monitoring system of a hydraulic support safety valve according to claim 1, characterized in that The pressure anomaly value of the safety valve under the current impact time period is the result of the positive fusion of the pressure overshoot value and the oscillation difference of the current impact time period.

6. The health working state monitoring system of a hydraulic support safety valve according to claim 1, characterized in that The flow rate anomaly value of the safety valve under the current impact time period is the result of the positive fusion of the average kurtosis of all the wave peaks and the dispersion degree of all the wave peak values on the flow rate fitting curve of the current impact time period.

7. The health working state monitoring system of a hydraulic support safety valve according to claim 1, characterized in that The correlation index of the current impact time period is the absolute value of the correlation coefficient between the pressure anomaly value and the flow rate anomaly value under the current impact time period and the previous consecutive preset number of impact time periods.

8. The health working state monitoring system of a hydraulic support safety valve according to claim 1, wherein, The comprehensive anomaly value is the sum of the average values of all the pressure anomaly values and all the flow rate anomaly values under the current impact time period and the previous consecutive preset number of impact time periods.

9. The health working state monitoring system of a hydraulic support safety valve according to claim 1, characterized in that, The anomaly coefficient of the safety valve under the current impact time period is the ratio of the comprehensive anomaly value of the current impact time period to the correlation index.

10. The health working state monitoring system of a hydraulic support safety valve according to claim 1, characterized in that, The evaluation of the working state of the current safety valve includes: If the normalized value of the anomaly coefficient of the safety valve under the current impact time 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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