A remote fault diagnosis system for hydraulic supports in underground coal mines

Abstract

The present invention relates to the technical field of coal mine equipment, and specifically discloses a remote fault diagnosis system for hydraulic supports in underground coal mines, comprising a support bearing detection and analysis module, a hydraulic system detection and analysis module, a support operation detection and analysis module, a hydraulic support fault diagnosis module, a wireless data transmission module, a fault diagnosis terminal, and a cloud database. By comprehensively analyzing and processing the temperature diagnosis values ​​and vibration diagnosis values ​​of the bearings, the system not only avoids the problem of the current technology of lacking stable operation detection and analysis of the bearings in fault determination of the hydraulic supports, but also maximizes the reliability and accuracy of the analysis results of the hydraulic support bearing operation fault determination, effectively providing reliable information support for subsequent maintenance work of the hydraulic supports, further avoiding the problem of inaccurate fault diagnosis results of the hydraulic supports, and significantly improving the accuracy of the remote fault diagnosis results of the hydraulic supports.

Description

Technical Field

[0001] The present invention relates to the technical field of coal mine equipment, in particular to a remote fault diagnosis system for a hydraulic support in an underground coal mine. Background Art

[0002] Underground hydraulic supports are commonly used equipment in underground workplaces such as coal mines to support and stabilize working faces or tunnels in layered rock and coal seams.

[0003] Hydraulic supports are important equipment in coal mines, responsible for supporting and protecting miners and equipment underground. If a hydraulic support fails, it may cause the support to fail or become unstable, resulting in serious accidents. However, due to the complex environment underground in coal mines and the difficulty of personnel access, repairing hydraulic supports requires a lot of manpower and time. For this reason, we propose a remote fault diagnosis system for hydraulic supports in coal mines. Through remote fault diagnosis, we can timely understand the operating status of the hydraulic support, discover potential problems and faults, and take timely measures to avoid accidents. Summary of the Invention

[0004] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides a remote fault diagnosis system for hydraulic supports in coal mines, in order to solve the technical defects mentioned above.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a remote fault diagnosis system for a hydraulic support in an underground coal mine, comprising a support bearing detection and analysis module, a hydraulic system detection and analysis module, a support operation detection and analysis module, a hydraulic support fault diagnosis module, a wireless data transmission module, a fault diagnosis terminal, and a cloud database, wherein the support bearing detection and analysis module, the hydraulic system detection and analysis module, and the support operation detection and analysis module are all connected to the hydraulic support fault diagnosis module and the cloud database, the hydraulic support fault diagnosis module is connected to the wireless data transmission module, and the wireless data transmission module is connected to the fault diagnosis terminal, wherein the fault diagnosis terminal includes an early warning module and an execution module;

[0006] The support bearing detection and analysis module is used to detect and obtain the operating parameters of the bearings of each hydraulic support in the coal mine corresponding to the current detection period, obtain the operating parameters of the bearings of each hydraulic support corresponding to the current detection period, and then analyze and process the operating parameters of the bearings of each hydraulic support corresponding to the current detection period to obtain the bearing stability value of each hydraulic support corresponding to the current detection period;

[0007] The hydraulic system detection and analysis module is used to detect the pressure of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period, obtain the pressure parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period, and then analyze and process the pressure parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period to obtain the hydraulic stability value of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period;

[0008] The support work detection and analysis module is used to detect the temperature of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, obtain the working parameters of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, and then analyze and process the working parameters of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period to obtain the support abnormal value of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period;

[0009] The hydraulic support fault diagnosis module is used to comprehensively analyze the bearing stability value, hydraulic stability value and support abnormal value of each hydraulic support in the coal mine corresponding to the current detection period, and obtain the fault diagnosis signal of each hydraulic support in the coal mine corresponding to the current detection period.

[0010] Furthermore, the operating parameters of the bearings of each hydraulic support corresponding to the current detection period include temperature data and vibration waveform diagrams of the bearings on each hydraulic support, and the specific detection and acquisition steps are as follows:

[0011] Obtain the temperature data of the bearings of each hydraulic support corresponding to the current detection period;

[0012] The vibration signal of the bearing of each hydraulic support corresponding to the current detection period is obtained, and based on this, a vibration waveform diagram of the bearing of each hydraulic support corresponding to the current detection period is generated by designated software.

[0013] Furthermore, the operating parameters of the bearings of each hydraulic support in the coal mine corresponding to the current detection period are analyzed and processed to obtain the bearing stability value of each hydraulic support in the coal mine corresponding to the current detection period. The specific analysis process is as follows:

[0014] Obtain the reference temperature range of the bearings in each hydraulic support from the cloud database;

[0015] Compare the temperature data of the bearings of each hydraulic support corresponding to the current detection period with the reference temperature range, obtain the number of temperature data of the bearings of each hydraulic support corresponding to the current detection period that are within the reference temperature range, and obtain the reasonable temperature number of the bearings of each hydraulic support corresponding to the current detection period. Compare the number of temperature data of the bearings of each hydraulic support corresponding to the current detection period that are outside the reference temperature range, and the number of abnormal temperatures of the bearings of each hydraulic support corresponding to the current detection period. Compare the reasonable temperature number and the abnormal temperature number of the bearings of each hydraulic support corresponding to the current detection period to obtain the temperature diagnostic value of the bearings of each hydraulic support corresponding to the current detection period, which is recorded as WZ i , i represents the number of each hydraulic support, i=1,2,...,n, n represents the total number of hydraulic supports;

[0016] Obtain the reference vibration waveform of the corresponding bearing of the hydraulic support from the cloud database;

[0017] The vibration waveform of the bearing of each hydraulic support in the coal mine corresponding to the current detection period is overlapped and compared with the reference vibration waveform of the bearing of the hydraulic support, and the overlap waveform length of each hydraulic support in the coal mine corresponding to the current detection period is obtained. The waveform length of the reference vibration waveform of the bearing of the hydraulic support is obtained, and the overlap waveform length of each hydraulic support in the coal mine corresponding to the current detection period is normalized and compared with the waveform length of the reference vibration waveform, and the vibration diagnosis value of the bearing of each hydraulic support in the current detection period is obtained, which is recorded as ZZ i ;

[0018] According to the formula ZW i =log2(WZ i *d1+ZZ i *d2+3) calculate the bearing stability value ZW of each hydraulic support in the coal mine corresponding to the current detection period i , d1 and d2 represent the set weight factors respectively.

[0019] Furthermore, the pressure parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period are specifically detected in the following manner:

[0020] Get the system pressure of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, recorded as XY i ;

[0021] Obtain the working pressure of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, recorded as GY i ;

[0022] Obtain the circuit pressure of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, recorded as HY i ;

[0023] Obtain the load pressure of the load surface of each hydraulic support in the coal mine corresponding to the current detection period, recorded as FY i ;

[0024] The system pressure, working pressure, circuit pressure and load pressure of the hydraulic system in each hydraulic support constitute the pressure parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period.

[0025] Furthermore, the analysis and processing of the pressure parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period is performed in the following specific analysis method:

[0026] According to the formula YW i =log2[(XY i *a1+GY i *a2+HY i *a3) / (FY i *a4)+2] calculate the hydraulic stability value YW of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period i , a1, a2, a3, and a4 represent the set weight factors respectively.

[0027] Furthermore, the specific detection and analysis method of each hydraulic support in the coal mine corresponding to the abnormal value of the hydraulic system in the current detection period is as follows:

[0028] Get the working temperature of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, recorded as GW i ;

[0029] Get the coolant flow rate of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, recorded as YL i ;

[0030] According to the formula ZY i =(GW i *b1) / (YL i *b2+1) calculates the abnormal value ZY of each hydraulic support in the coal mine corresponding to the hydraulic system operation during the current detection period i , b1 and b2 represent the set weight factors respectively.

[0031] Furthermore, the fault diagnosis signals corresponding to the hydraulic supports in the coal mine in the current detection period are analyzed in the following specific manner:

[0032] Compare the bearing stability value of the bearings of each hydraulic support in the coal mine corresponding to the current detection period with the set reference bearing stability value. If the bearing stability value of the bearing of a hydraulic support in the coal mine corresponding to the current detection period is less than the set reference bearing stability value, then the bearing stability level of the bearing of the hydraulic support corresponding to the current detection period is determined to be level one, and a bearing stability fault signal is generated. Otherwise, the bearing stability level of the bearing of the hydraulic support corresponding to the current detection period is determined to be level two, and a bearing stability normal signal is generated.

[0033] Compare the hydraulic stability value of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period with the set reference hydraulic stability value. If the hydraulic stability value of the hydraulic system of a hydraulic support in the coal mine corresponding to the current detection period is greater than the set reference hydraulic stability value, then the hydraulic stability level of the hydraulic system of the hydraulic support corresponding to the current detection period is determined to be level one, and a hydraulic stability fault signal is generated. Otherwise, the hydraulic stability level of the hydraulic system of the hydraulic support corresponding to the current detection period is determined to be level two, and a hydraulic stability normal signal is generated.

[0034] The support abnormality value of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period is compared with the set reference support abnormality value. If the support abnormality value of the hydraulic system operation of a hydraulic support in the coal mine corresponding to the current detection period is greater than the set reference support abnormality value, then the support status level of the hydraulic system operation of the hydraulic support in the current detection period is determined to be level one, and an axis support status fault signal is generated. Otherwise, the support status level of the hydraulic system operation of the hydraulic support in the current detection period is determined to be level two, and a support status normal signal is generated.

[0035] Furthermore, the wireless data transmission module is used to send the fault diagnosis signal of each hydraulic support in the coal mine corresponding to the current detection period to the fault diagnosis terminal.

[0036] Furthermore, the fault diagnosis terminal is used to receive fault diagnosis signals corresponding to the current detection period of each hydraulic support in the coal mine, and arrange fault repair personnel according to the corresponding fault diagnosis signals.

[0037] Furthermore, the early warning module is used to perform corresponding early warning operations on the fault diagnosis signals of each hydraulic support in the coal mine corresponding to the current detection period;

[0038] The execution module performs corresponding maintenance operations based on the fault diagnosis signals of each hydraulic support in the coal mine corresponding to the current detection period.

[0039] Beneficial effects of the present invention:

[0040] 1. The present invention detects the operating parameters of the bearings of each hydraulic support in the coal mine corresponding to the current detection period, and analyzes and processes the operating parameters of the bearings of each hydraulic support in the coal mine corresponding to the current detection period. Specifically, by comprehensively analyzing the operating temperature data and vibration data of the bearings of each hydraulic support in the coal mine corresponding to the current detection period, the temperature diagnosis value and vibration diagnosis value of the bearings of each hydraulic support in the coal mine corresponding to the current detection period are obtained respectively, and then the two are comprehensively analyzed and processed to obtain the bearing stability value of each hydraulic support in the coal mine corresponding to the current detection period. This not only avoids the lack of bearing operation stability detection and analysis in the current technology for hydraulic support fault judgment, but also maximizes the reliability and accuracy of the hydraulic support bearing operation fault judgment analysis results, can effectively provide reliable information support for subsequent maintenance work of the hydraulic support, further avoids the problem of inaccurate hydraulic support fault diagnosis results, and greatly improves the accuracy of hydraulic support fault remote fault diagnosis results.

[0041] 2. The present invention detects the pressure parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period, and obtains the system pressure, working pressure and circuit pressure of the hydraulic system operation of each hydraulic support in the current detection period, and comprehensively analyzes and processes the system pressure, working pressure, circuit pressure and load pressure of the hydraulic support of each hydraulic support in the current detection period to obtain the hydraulic stability value of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, and thereby diagnoses the hydraulic system pressure failure of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, which can intuitively understand the hydraulic stability of the hydraulic system of the hydraulic support, avoid the problem that the hydraulic support cannot provide stable supporting force due to leakage of hydraulic fluid in the hydraulic system or failure of the hydraulic control valve, and greatly improve the operation safety of the hydraulic support, while improving the accuracy of the hydraulic support fault diagnosis results.

[0042] 3. The present invention also detects the temperature of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, obtains the working parameters of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, and thereby analyzes and obtains the abnormal value of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period. The fault of the hydraulic support is diagnosed and analyzed from multiple aspects, providing diverse data support for the fault diagnosis of the hydraulic support, thereby significantly improving the accuracy of the fault diagnosis results of the hydraulic support, facilitating the hydraulic support fault maintenance personnel to perform corresponding maintenance operations on the hydraulic support, and improving the maintenance efficiency of the hydraulic support fault by the maintenance personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention will be further described below with reference to the accompanying drawings.

[0044] Figure 1 The present invention is a block diagram of a remote fault diagnosis system for a hydraulic support in an underground coal mine. DETAILED DESCRIPTION

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts also fall within the scope of protection of the present invention.

[0046] As used herein and in the claims, unless the context clearly indicates otherwise, the terms "a," "an," "an," and / or "the" are not intended to refer to the singular but may include the plural. Generally speaking, the terms "comprises" and "include" only indicate the inclusion of the steps and elements specifically identified, and these steps and elements do not constitute an exclusive list. A method or apparatus may also include other steps or elements.

[0047] Although the present invention has made various references to certain modules in the system according to an embodiment of the present invention, however, any number of different modules can be used and run on the user terminal and / or server. The modules are only illustrative, and different aspects of the system and method can use different modules.

[0048] Flowcharts are used in this disclosure to illustrate the operations performed by systems according to embodiments of the present invention. It should be understood that the preceding or following operations do not necessarily need to be performed in exact order. Instead, various steps may be processed in reverse order or simultaneously, as needed. Furthermore, other operations may be added to these processes, or one or more operations may be removed from these processes.

[0049] Below, the exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments of the present invention, and it should be understood that the present invention is not limited to the exemplary embodiments described herein.

[0050] See also Figure 1 As shown, a remote fault diagnosis system for hydraulic supports in underground coal mines includes: a support bearing detection and analysis module, a hydraulic system detection and analysis module, a support operation detection and analysis module, a hydraulic support fault diagnosis module, a wireless data transmission module, a fault diagnosis terminal, and a cloud database.

[0051] The bracket bearing detection and analysis module, the hydraulic system detection and analysis module, and the bracket work detection and analysis module are all connected to the hydraulic support fault diagnosis module and the cloud database. The hydraulic support fault diagnosis module is connected to the wireless data transmission module, and the wireless data transmission module is connected to the fault diagnosis terminal, wherein the fault diagnosis terminal includes an early warning module and an execution module.

[0052] The support bearing detection and analysis module is used to detect and obtain the operating parameters of the bearings of each hydraulic support in the coal mine corresponding to the current detection period, obtain the operating parameters of the bearings of each hydraulic support corresponding to the current detection period, and then analyze and process the operating parameters of the bearings of each hydraulic support corresponding to the current detection period to obtain the bearing stability value of each hydraulic support corresponding to the current detection period.

[0053] The operating parameters of the bearings of each hydraulic support corresponding to the current detection period include the temperature data and vibration waveform of the bearings on each hydraulic support. The specific detection and acquisition steps are as follows:

[0054] The temperature sensor is used to collect the bearing temperature data of each hydraulic support at each detection time point in the current detection period, and obtain the bearing temperature data of each hydraulic support in the current detection period;

[0055] Vibration sensors are used to collect data on the bearing vibration of each hydraulic support in the current detection period to obtain vibration signals of the bearings of each hydraulic support in the current detection period. Based on this, a vibration waveform diagram of the bearings of each hydraulic support in the current detection period is generated through designated software to obtain vibration waveform diagrams of the bearings of each hydraulic support in the current detection period. The designated software is specifically vibration analysis software, and the vibration analysis software includes MATLAB, NI LabVIEW, and FFT Analyzer.

[0056] Based on the analysis and processing of the operating parameters of the bearings of each hydraulic support in the coal mine corresponding to the current detection period, the bearing stability values ​​of each hydraulic support in the coal mine corresponding to the current detection period are obtained. The specific analysis process is as follows:

[0057] The bearing temperature data of each hydraulic support in the coal mine corresponding to the current detection period is extracted from the operating parameters of the bearings of each hydraulic support in the coal mine corresponding to the current detection period, the temperature data of the bearings of each hydraulic support in the coal mine corresponding to the current detection period is obtained, and the reference temperature range of the bearings in each hydraulic support is obtained from the cloud database.

[0058] Compare the temperature data of the bearings of each hydraulic support corresponding to the current detection period with the reference temperature range, obtain the number of temperature data of the bearings of each hydraulic support corresponding to the current detection period that are within the reference temperature range, and obtain the reasonable temperature number of the bearings of each hydraulic support corresponding to the current detection period. Compare the number of temperature data of the bearings of each hydraulic support corresponding to the current detection period that are outside the reference temperature range, and the number of abnormal temperatures of the bearings of each hydraulic support corresponding to the current detection period. Compare the reasonable temperature number and the abnormal temperature number of the bearings of each hydraulic support corresponding to the current detection period to obtain the temperature diagnostic value of the bearings of each hydraulic support corresponding to the current detection period, which is recorded as WZ i , i represents the number of each hydraulic support, i=1,2,...,n, n represents the total number of hydraulic supports.

[0059] The vibration waveform diagram of the bearing of each hydraulic support in the coal mine corresponding to the current detection period is extracted from the operating parameters of the bearing of each hydraulic support in the coal mine corresponding to the current detection period, and the reference vibration waveform diagram of the bearing corresponding to the hydraulic support is obtained from the cloud database.

[0060] The vibration waveform of the bearing of each hydraulic support in the coal mine corresponding to the current detection period is overlapped and compared with the reference vibration waveform of the bearing of the hydraulic support, and the overlap waveform length of each hydraulic support in the coal mine corresponding to the current detection period is obtained. The waveform length of the reference vibration waveform of the bearing of the hydraulic support is obtained, and the overlap waveform length of each hydraulic support in the coal mine corresponding to the current detection period is normalized and compared with the waveform length of the reference vibration waveform, and the vibration diagnosis value of the bearing of each hydraulic support in the current detection period is obtained, which is recorded as ZZ i .

[0061] According to the formula ZW i =log2(WZ i *d1+ZZ i *d2+3) calculate the bearing stability value ZW of each hydraulic support in the coal mine corresponding to the current detection period i , d1 and d2 represent the set weight factors respectively.

[0062] In a specific embodiment, the present invention detects the operating parameters of the bearings of each hydraulic support in the coal mine corresponding to the current detection period, and analyzes and processes the operating parameters of the bearings of each hydraulic support in the coal mine corresponding to the current detection period. Specifically, by comprehensively analyzing the operating temperature data and vibration data of the bearings of each hydraulic support in the coal mine corresponding to the current detection period, the temperature diagnosis value and vibration diagnosis value of the bearings of each hydraulic support in the coal mine corresponding to the current detection period are obtained respectively, and then by comprehensively analyzing and processing the two, the bearing stability value of each hydraulic support in the coal mine corresponding to the current detection period is obtained. This not only avoids the lack of bearing operation stability detection and analysis in the current technology for hydraulic support fault judgment, but also maximizes the reliability and accuracy of the hydraulic support bearing operation fault judgment analysis results, can effectively provide reliable information support for subsequent maintenance work of the hydraulic support, further avoids the problem of inaccurate hydraulic support fault diagnosis results, and greatly improves the accuracy of remote fault diagnosis results of hydraulic support faults.

[0063] The hydraulic system detection and analysis module is used to detect the pressure of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period, and obtain the pressure parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period, wherein the pressure parameters include the system pressure, working pressure, circuit pressure and load pressure of the hydraulic system in each hydraulic support. Then, by analyzing and processing the pressure parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period, the hydraulic stability value of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period is obtained. The specific detection method is as follows:

[0064] The system pressure of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period is collected by the pressure sensor, and the system pressure of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period is obtained, which is recorded as XY i .

[0065] The working pressure of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period is collected by the pressure sensor, and the working pressure of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period is obtained, which is recorded as GY i .

[0066] The circuit pressure of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period is collected by the pressure sensor, and the circuit pressure of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period is obtained, which is recorded as HY i .

[0067] At the same time, the load pressure of the load surface of each hydraulic support in the coal mine corresponding to the current monitoring period is collected through the pressure sensor, and the load pressure of the load surface of each hydraulic support in the coal mine corresponding to the current detection period is obtained, which is recorded as FY i .

[0068] Based on the analysis and processing of the pressure parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period, the hydraulic stability value of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period is obtained. The specific analysis method is as follows:

[0069] According to the formula YW i =log2[(XY i *a1+GY i *a2+HY i *a3) / (FY i *a4)+2] calculate the hydraulic stability value YW of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period i , a1, a2, a3, and a4 represent the set weight factors respectively.

[0070] In a specific embodiment, the present invention detects the pressure parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period, obtains the system pressure, working pressure and circuit pressure of the hydraulic system operation of each hydraulic support in the current detection period, and comprehensively analyzes and processes the system pressure, working pressure, circuit pressure and load pressure of the hydraulic support of each hydraulic support in the current detection period to obtain the hydraulic stability value of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, and thereby diagnoses the hydraulic system pressure failure of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, which can intuitively understand the hydraulic stability of the hydraulic system of the hydraulic support, avoid the problem that the hydraulic support cannot provide stable supporting force due to leakage of hydraulic fluid in the hydraulic system or failure of the hydraulic control valve, greatly improves the operation safety of the hydraulic support, and at the same time improves the accuracy of the fault diagnosis results of the hydraulic support.

[0071] The support work detection and analysis module is used to detect the temperature of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, and obtain the working parameters of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period. The working parameters include the working temperature and coolant flow of the hydraulic system in each hydraulic support. Then, by analyzing and processing the working parameters of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, the support abnormal value of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period is obtained. The specific detection method is as follows:

[0072] The temperature data of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period is detected by the temperature sensor, and the working temperature of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period is obtained, which is recorded as GW i .

[0073] The cooling fluid flow rate of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period is detected by electromagnetic flowmeter, and the cooling fluid flow rate of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period is obtained, which is recorded as YL i .

[0074] Based on the analysis of the working parameters of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, the abnormal values ​​of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period are obtained. The specific analysis method is as follows:

[0075] According to the formula ZY i =(GW i *b1) / (YL i *b2+1) calculates the abnormal value ZY of each hydraulic support in the coal mine corresponding to the hydraulic system operation during the current detection period i , b1 and b2 represent the set weight factors respectively.

[0076] In a specific embodiment, the present invention also detects the temperature of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period, obtains the working parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period, and thereby analyzes and obtains the support abnormal values ​​of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period, and diagnoses and analyzes the faults of the hydraulic support from multiple aspects, providing diverse data support for the fault diagnosis of the hydraulic support, thereby significantly improving the accuracy of the fault diagnosis results of the hydraulic support, facilitating the hydraulic support fault maintenance personnel to perform corresponding maintenance operations on the hydraulic support, and improving the maintenance efficiency of the hydraulic support fault by the maintenance personnel.

[0077] The hydraulic support fault diagnosis module is used to comprehensively analyze the bearing stability value, hydraulic stability value, and support abnormal value of each hydraulic support in the coal mine corresponding to the current detection period, and obtain the fault diagnosis signal of each hydraulic support in the coal mine corresponding to the current detection period. The specific analysis method is as follows:

[0078] The bearing stability value of the bearings of each hydraulic support in the coal mine corresponding to the current detection period is compared with the set reference bearing stability value. If the bearing stability value of the bearing of a hydraulic support in the coal mine corresponding to the current detection period is less than the set reference bearing stability value, then the bearing stability level of the bearing of the hydraulic support corresponding to the current detection period is determined to be level one, and a bearing stability fault signal is generated. Otherwise, the bearing stability level of the bearing of the hydraulic support corresponding to the current detection period is determined to be level two, and a bearing stability normal signal is generated.

[0079] The hydraulic stability value of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period is compared with the set reference hydraulic stability value. If the hydraulic stability value of the hydraulic system of a hydraulic support in the coal mine corresponding to the current detection period is greater than the set reference hydraulic stability value, the hydraulic stability level of the hydraulic system of the hydraulic support in the current detection period is determined to be level one, and a hydraulic stability fault signal is generated. Otherwise, the hydraulic stability level of the hydraulic system of the hydraulic support in the current detection period is determined to be level two, and a hydraulic stability normal signal is generated.

[0080] The support abnormality value of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period is compared with the set reference support abnormality value. If the support abnormality value of the hydraulic system operation of a hydraulic support in the coal mine corresponding to the current detection period is greater than the set reference support abnormality value, then the support status level of the hydraulic system operation of the hydraulic support in the current detection period is determined to be level one, and an axis support status fault signal is generated. Otherwise, the support status level of the hydraulic system operation of the hydraulic support in the current detection period is determined to be level two, and a support status normal signal is generated.

[0081] From this analysis, the bearing stability level, hydraulic stability level and support status level of each hydraulic support in the coal mine corresponding to the current detection period are obtained, and the bearing stability level, hydraulic stability level and support status level of each hydraulic support in the coal mine corresponding to the current detection period constitute the fault diagnosis signal of each hydraulic support in the coal mine corresponding to the current detection period.

[0082] The wireless data transmission module is used to send the fault diagnosis signals of each hydraulic support in the coal mine corresponding to the current detection period to the fault diagnosis terminal. The wireless data transmission module can adopt a narrowband Internet of Things transmission module, which has the characteristics of strong signal penetration ability and good anti-interference performance, and is suitable for data transmission in coal mines.

[0083] The fault diagnosis terminal is used to receive the fault diagnosis signals of each hydraulic support in the coal mine corresponding to the current detection period, and arrange the fault maintenance personnel according to the corresponding fault diagnosis signals.

[0084] The early warning module is used to perform corresponding early warning operations on the fault diagnosis signals of each hydraulic support in the coal mine corresponding to the current detection period. The specific early warning methods are as follows:

[0085] When receiving the bearing stability fault signal of the hydraulic support corresponding to the current detection period, the control node of the hydraulic support on the control line will light up a red fault light as an early warning;

[0086] When receiving the hydraulic stability fault signal of the hydraulic system operation of the hydraulic support corresponding to the current detection period, the control node of the hydraulic support on the control line will light up the blue fault light as an early warning;

[0087] When a support state fault signal corresponding to the hydraulic system operation of the bearing of the hydraulic support in the current detection period is received, a yellow fault light is turned on at the control node of the hydraulic support on the control line to give an early warning.

[0088] If the hydraulic support generates multiple fault signals during the current detection period, the corresponding fault signal lights will flash alternately to perform early warning operations.

[0089] The execution module performs corresponding maintenance operations based on the fault diagnosis signals of each hydraulic support in the coal mine corresponding to the current detection period, and arranges corresponding maintenance personnel to repair the faults of the hydraulic support according to different fault warning signal lights.

[0090] The cloud database is used to store various operating parameters of various hydraulic supports in coal mines.

[0091] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The size of the coefficient is a specific value obtained by quantifying each parameter. Regarding the size of the coefficient, as long as it does not affect the proportional relationship between the parameter and the quantified value, it is acceptable.

[0092] In addition, it will be understood by those skilled in the art that various aspects of the present invention may be illustrated and described by a number of patentable categories or situations, including any new and useful process, machine, product or combination of substances, or any new and useful improvements thereto. Accordingly, various aspects of the present invention may be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". In addition, various aspects of the present invention may be represented as a computer product located in one or more computer-readable media, which includes computer-readable program code.

[0093] Unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It should also be understood that terms such as those defined in common dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology and should not be interpreted in an idealized or highly formal sense, unless expressly defined as such herein.

[0094] The above is an illustration of the present invention and should not be considered as limiting thereof. Although several exemplary embodiments of the present invention have been described, it will be readily understood by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined by the claims. It should be understood that the above is an illustration of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. A remote fault diagnosis system for hydraulic supports in underground coal mines, comprising a support bearing detection and analysis module, a hydraulic system detection and analysis module, a support operation detection and analysis module, a hydraulic support fault diagnosis module, a wireless data transmission module, a fault diagnosis terminal, and a cloud database. The support bearing detection and analysis module, the hydraulic system detection and analysis module, and the support operation detection and analysis module are all connected to the hydraulic support fault diagnosis module and the cloud database. The hydraulic support fault diagnosis module is connected to the wireless data transmission module, which is connected to the fault diagnosis terminal. The fault diagnosis terminal includes an early warning module and an execution module; its characteristics are: The support bearing detection and analysis module is used to detect and obtain the operating parameters of the bearings of each hydraulic support in the coal mine corresponding to the current detection period, obtain the operating parameters of the bearings of each hydraulic support corresponding to the current detection period, and then analyze and process the operating parameters of the bearings of each hydraulic support corresponding to the current detection period to obtain the bearing stability value of each hydraulic support corresponding to the current detection period; The hydraulic system detection and analysis module is used to detect the pressure of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period, obtain the pressure parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period, and then analyze and process the pressure parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period to obtain the hydraulic stability value of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period; The support work detection and analysis module is used to detect the temperature of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, obtain the working parameters of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, and then analyze and process the working parameters of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period to obtain the support abnormal value of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period; The hydraulic support fault diagnosis module is used to comprehensively analyze the bearing stability value, hydraulic stability value and support abnormal value of each hydraulic support in the coal mine corresponding to the current detection period, and obtain the fault diagnosis signal of each hydraulic support in the coal mine corresponding to the current detection period.

2. The remote fault diagnosis system for hydraulic supports in underground coal mines according to claim 1, characterized in that: The operating parameters of the bearings of each hydraulic support corresponding to the current detection period include the temperature data and vibration waveform of the bearings on each hydraulic support. The specific detection and acquisition steps are as follows: Obtain the temperature data of the bearings of each hydraulic support corresponding to the current detection period; The vibration signal of the bearing of each hydraulic support corresponding to the current detection period is obtained, and based on this, a vibration waveform diagram of the bearing of each hydraulic support corresponding to the current detection period is generated by designated software.

3. The remote fault diagnosis system for hydraulic supports in underground coal mines according to claim 2, characterized in that: Based on the analysis and processing of the operating parameters of the bearings of each hydraulic support in the coal mine corresponding to the current detection period, the bearing stability values ​​of each hydraulic support in the coal mine corresponding to the current detection period are obtained. The specific analysis process is as follows: Obtain the reference temperature range of the bearings in each hydraulic support from the cloud database; Compare the temperature data of the bearings of each hydraulic support corresponding to the current detection period with the reference temperature range, obtain the number of temperature data of the bearings of each hydraulic support corresponding to the current detection period that are within the reference temperature range, and obtain the reasonable temperature number of the bearings of each hydraulic support corresponding to the current detection period. Compare the number of temperature data of the bearings of each hydraulic support corresponding to the current detection period that are outside the reference temperature range, and the number of abnormal temperatures of the bearings of each hydraulic support corresponding to the current detection period. Compare the reasonable temperature number and the abnormal temperature number of the bearings of each hydraulic support corresponding to the current detection period to obtain the temperature diagnostic value of the bearings of each hydraulic support corresponding to the current detection period, which is recorded as WZ i , i represents the number of each hydraulic support, i=1,2,...,n, n represents the total number of hydraulic supports; Obtain the reference vibration waveform of the corresponding bearing of the hydraulic support from the cloud database; The vibration waveform of the bearing of each hydraulic support in the coal mine corresponding to the current detection period is overlapped and compared with the reference vibration waveform of the bearing of the hydraulic support, and the overlap waveform length of each hydraulic support in the coal mine corresponding to the current detection period is obtained. The waveform length of the reference vibration waveform of the bearing of the hydraulic support is obtained, and the overlap waveform length of each hydraulic support in the coal mine corresponding to the current detection period is normalized and compared with the waveform length of the reference vibration waveform, and the vibration diagnosis value of the bearing of each hydraulic support in the current detection period is obtained, which is recorded as ZZ i ; According to the formula ZW i =log2(WZ i *d1+ZZ i *d2+3) calculate the bearing stability value ZW of each hydraulic support in the coal mine corresponding to the current detection period i , d1 and d2 represent the set weight factors respectively.

4. The remote fault diagnosis system for hydraulic supports in underground coal mines according to claim 3, characterized in that: The pressure parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period are specifically detected in the following manner: Obtain the system pressure, working pressure, circuit pressure and load pressure of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, which are recorded as XY i , GY i HY i and FY i ; The system pressure, working pressure, circuit pressure and load pressure of the hydraulic system in each hydraulic support constitute the pressure parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period.

5. The remote fault diagnosis system for hydraulic supports in underground coal mines according to claim 4, characterized in that: The analysis and processing of the pressure parameters of the hydraulic system operation of each hydraulic support in the coal mine corresponding to the current detection period is performed in the following specific analysis method: According to the formula YW i =log2[(XY i *a1+GY i *a2+HY i *a3) / (FY i *a4)+2] calculate the hydraulic stability value YW of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period i , a1, a2, a3, and a4 represent the set weight factors respectively.

6. The remote fault diagnosis system for hydraulic supports in underground coal mines according to claim 5, characterized in that: The specific detection and analysis methods for each hydraulic support in the coal mine corresponding to the abnormal value of the hydraulic system during the current detection period are as follows: Obtain the working temperature and coolant flow of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period, recorded as GW i and Y.L. i ; According to the formula ZY i =(GW i *b1) / (YL i *b2+1) calculates the abnormal value ZY of each hydraulic support in the coal mine corresponding to the hydraulic system operation during the current detection period i , b1 and b2 represent the set weight factors respectively.

7. The remote fault diagnosis system for hydraulic supports in underground coal mines according to claim 6, characterized in that: The fault diagnosis signals corresponding to the hydraulic supports in the coal mine in the current detection period are analyzed in the following specific manner: Compare the bearing stability value of the bearings of each hydraulic support in the coal mine corresponding to the current detection period with the set reference bearing stability value. If the bearing stability value of the bearing of a hydraulic support in the coal mine corresponding to the current detection period is less than the set reference bearing stability value, then the bearing stability level of the bearing of the hydraulic support corresponding to the current detection period is determined to be level one, and a bearing stability fault signal is generated. Otherwise, the bearing stability level of the bearing of the hydraulic support corresponding to the current detection period is determined to be level two, and a bearing stability normal signal is generated. Compare the hydraulic stability value of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period with the set reference hydraulic stability value. If the hydraulic stability value of the hydraulic system of a hydraulic support in the coal mine corresponding to the current detection period is greater than the set reference hydraulic stability value, then the hydraulic stability level of the hydraulic system of the hydraulic support corresponding to the current detection period is determined to be level one, and a hydraulic stability fault signal is generated. Otherwise, the hydraulic stability level of the hydraulic system of the hydraulic support corresponding to the current detection period is determined to be level two, and a hydraulic stability normal signal is generated. Compare the abnormal value of the hydraulic system of each hydraulic support in the coal mine corresponding to the current detection period with the set reference support abnormal value. If the abnormal value of the hydraulic system of a hydraulic support in the coal mine corresponding to the current detection period is greater than the set reference support abnormal value, then the support state level of the hydraulic system of the hydraulic support corresponding to the current detection period is determined to be level one, and an axis support state fault signal is generated. Otherwise, the support state level of the hydraulic system of the hydraulic support corresponding to the current detection period is determined to be level two, and a support state normal signal is generated. From this analysis, the bearing stability level, hydraulic stability level and support status level of each hydraulic support in the coal mine corresponding to the current detection period are obtained, and the bearing stability level, hydraulic stability level and support status level of each hydraulic support in the coal mine corresponding to the current detection period constitute the fault diagnosis signal of each hydraulic support in the coal mine corresponding to the current detection period.

8. The remote fault diagnosis system for hydraulic supports in underground coal mines according to claim 1, characterized in that: The wireless data transmission module is used to send the fault diagnosis signal of each hydraulic support in the coal mine corresponding to the current detection period to the fault diagnosis terminal.

9. The remote fault diagnosis system for hydraulic supports in underground coal mines according to claim 1, characterized in that: The fault diagnosis terminal is used to receive the fault diagnosis signals of each hydraulic support in the coal mine corresponding to the current detection period, and arrange fault repair personnel according to the corresponding fault diagnosis signals.

10. The remote fault diagnosis system for hydraulic supports in underground coal mines according to claim 1, characterized in that: The early warning module is used to perform corresponding early warning operations on the fault diagnosis signals of each hydraulic support in the coal mine corresponding to the current detection period; The execution module performs corresponding maintenance operations based on the fault diagnosis signals of each hydraulic support in the coal mine corresponding to the current detection period.

Images