Mine forklift hydraulic support oil state online monitoring system

Abstract

The invention discloses an on-line monitoring system for a hydraulic support oil state of a mine carry-scraper truck, relates to the technical field of hydraulic oil monitoring, and solves the problems that data of hydraulic support oil is difficult to reasonably detect according to different positions of a filter element in a hydraulic support, the evaluation accuracy is influenced, and meanwhile, the evaluation of the degradation degree through multiple factors is lacked. And the accuracy of deterioration degree evaluation is difficult to improve. The hydraulic support is classified according to the installation position of the filter element in the hydraulic support oil way, the oil turbidity data and the oil viscosity data of the hydraulic support oil way can be accurately detected, pollutants and the change trend of the pollutants can be detected in time, and the oil quality monitoring capacity is improved. Meanwhile, by combining parameters such as stroke, vibration, turbidity and volatility, the deterioration degree of the oil can be more accurately judged, and the method does not only depend on a single index. And the change of each parameter along with time is monitored in real time, so that the oil degradation trend can be found in time.

Description

Technical Field

[0001] The invention belongs to the field of hydraulic oil monitoring, in particular to an online monitoring system for the hydraulic support oil state of a mining scraper. Background Art

[0002] Mine shovel loader is one of the important equipment in mining operations, mainly used to transport ore and other materials. With the increase in mining depth and the complexity of the working environment, the reliability and safety requirements of the equipment are also increasing. As an important part of the shovel loader, the hydraulic system directly affects its performance, efficiency and safe operation. Therefore, real-time monitoring of the hydraulic support oil status has become an important measure to improve the overall work efficiency of the shovel loader and extend the service life of the equipment. In the traditional maintenance mode, it often relies on regular inspections or post-fault repairs, which not only lags in response, but may also lead to unnecessary downtime and high maintenance costs. With the development of information technology, especially the advancement of sensor technology and data analysis technology, online monitoring has become possible. This transformation makes it possible to monitor the status of hydraulic oil in real time and realize condition-based maintenance.

[0003] The existing online monitoring system for the status of hydraulic support oil generally collects and detects data of various hydraulic supports through a unified data detection sampling position. It is difficult to reasonably detect the data of the hydraulic support oil according to the different positions of the internal filter element of the hydraulic support, which affects the accuracy of the assessment. At the same time, there is a lack of assessment of the degree of deterioration through multiple factors, which makes it difficult to improve the accuracy of the assessment of the degree of deterioration. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes an online monitoring system for the hydraulic support oil status of a mining shovel loader, which is used to solve the technical problems that it is difficult to reasonably detect the data of the hydraulic support oil according to the different positions of the internal filter element of the hydraulic support, thereby affecting the accuracy of the evaluation, and at the same time, there is a lack of evaluation of the degree of degradation through multiple factors, making it difficult to improve the accuracy of the evaluation of the degree of degradation.

[0005] In order to solve the above problems, the first aspect of the present invention provides an online monitoring system for hydraulic support oil status of a mining scraper, comprising: Hydraulic support classification module: obtain the installation data of the filter element in the hydraulic support oil circuit, classify the hydraulic support according to the installation position of the filter element in the hydraulic support oil circuit, and number different types of hydraulic supports; Oil data acquisition module: collects oil turbidity data and oil viscosity data of hydraulic support oil circuit according to the filter element position of Class I hydraulic support, Class II hydraulic support and Class III hydraulic support, collects oil pressure data in various hydraulic support oil circuits, and infrared image data of hydraulic cylinders; Oil data analysis module: Analyze the oil turbidity coefficient and oil volatility coefficient of hydraulic support according to the data collected by the oil data acquisition module; Operation data acquisition module: collects the hydraulic rod stroke data of various hydraulic supports, collects the vibration data of the hydraulic cylinder surface, and the external vibration data of the oil circuits at different positions of various hydraulic supports; Operation data analysis module: analyzes the hydraulic support stroke parameters and vibration parameters according to the data collected by the operation data acquisition module, and draws a waveform diagram of the hydraulic support stroke parameters and vibration parameters changing with time; Oil deterioration degree analysis module: According to the waveform diagram of the hydraulic support stroke parameters and vibration parameters changing with time, combined with the hydraulic support oil turbidity coefficient and oil volatility coefficient, the hydraulic support oil deterioration degree is analyzed, and the hydraulic support oil deterioration degree data obtained from the analysis is correlated with the corresponding hydraulic support number.

[0006] As a further solution of the present invention: hydraulic supports are classified according to the installation position of the filter element in the hydraulic support oil circuit, including the following steps: If the filter element in the hydraulic support oil circuit is the hydraulic oil filter element of the oil suction line, the hydraulic support is classified as Class I hydraulic support; if the filter element in the hydraulic support oil circuit is the hydraulic oil filter element of the pressure line, the hydraulic support is classified as Class II hydraulic support; if the filter element in the hydraulic support oil circuit is the hydraulic oil filter element of the return line, the hydraulic support is classified as Class III hydraulic support; if filter elements are installed in two or more of the suction line, pressure line and return line in the hydraulic support oil circuit, the hydraulic support is classified as Class IV hydraulic support; if filter elements are not installed in the suction line, pressure line and return line in the hydraulic support oil circuit, the hydraulic support is classified as Class V hydraulic support.

[0007] As a further solution of the present invention: the oil data acquisition module collects oil turbidity data and oil viscosity data of the hydraulic support oil circuit according to the filter element positions of the first type hydraulic support, the second type hydraulic support and the third type hydraulic support, including the following steps: For a type of hydraulic support, the oil turbidity on both sides of the filter element at the oil suction line in the hydraulic oil circuit is collected as the oil turbidity data before and after filtration, and the oil viscosity at the oil suction line is collected as the oil viscosity data; For Class II hydraulic support, the oil turbidity downstream of the filter element at the pressure line in the hydraulic oil circuit is collected as the oil turbidity data after filtration, the oil turbidity in the return oil line is collected as the oil turbidity data before filtration, and the oil viscosity of the suction oil line and the return oil line is collected, and the average value of the oil viscosity of the suction oil line and the return oil line is taken as the oil viscosity data; For the three types of hydraulic support, the oil turbidity on both sides of the filter element at the oil return line in the hydraulic oil circuit is collected as the oil turbidity data before and after filtration, and the oil viscosity at the oil return line is collected as the oil viscosity data; For Class IV hydraulic supports and Class V hydraulic supports, the oil turbidity at the oil suction line in the hydraulic oil circuit is collected as the oil turbidity data after filtration, and the oil turbidity in the oil return line is collected as the oil turbidity data before filtration. The oil viscosity of the oil suction line and the oil return line is collected, and the oil viscosity at the oil return line is collected as the oil viscosity data.

[0008] As a further solution of the present invention: the oil data analysis module analyzes the oil turbidity coefficient and oil volatility coefficient of the hydraulic support according to the data collected by the oil data collection module, including the following steps: According to the oil turbidity data and oil viscosity data before and after filtration in the hydraulic oil circuit, the oil turbidity coefficient of the hydraulic support is analyzed by the following formula: Among them, α is the oil turbidity coefficient of hydraulic support, Ta is the oil turbidity data of hydraulic support oil circuit before filtration, Tb is the oil turbidity data of hydraulic support oil circuit after filtration, T0 is the standard value of oil turbidity in hydraulic support oil circuit, μ is the oil viscosity data in hydraulic support oil circuit, μ0 is the standard value of oil viscosity data in hydraulic support oil circuit; According to the infrared image data of the hydraulic cylinder collected by the oil data collection module, the area and gray value of the high temperature area of ​​the infrared image data of the hydraulic cylinder are analyzed; According to the oil pressure data of various hydraulic support oil circuits and the infrared image data of hydraulic cylinders, the oil volatility coefficient of hydraulic support is analyzed by the following formula: Among them, β is the oil volatility coefficient of hydraulic support, Sa is the area of ​​the high temperature area in the infrared image data, S is the area of ​​the hydraulic cylinder in the infrared image data of the hydraulic cylinder, S0 is the standard value of the area of ​​the high temperature area in the infrared image data, Ga is the grayscale value of the high temperature area in the infrared image data, G is the grayscale value of the hydraulic cylinder in the infrared image data of the hydraulic cylinder, G0 is the standard value of the grayscale value of the high temperature area in the infrared image data, Pa is the pressure data of the oil in the hydraulic support oil circuit, and P0 is the standard value of the pressure data of the oil in the hydraulic support oil circuit.

[0009] As a further solution of the present invention: according to the infrared image data of the hydraulic cylinder collected by the oil data collection module, the area and gray value of the high temperature area of ​​the infrared image data of the hydraulic cylinder are analyzed, including the following steps: Acquire the infrared image data of the hydraulic cylinder when the temperature of the hydraulic cylinder exceeds the threshold value, and the surface temperature detection value of the hydraulic cylinder in the historical data; When the temperature of the hydraulic cylinder exceeds the threshold, the high-temperature area where the surface temperature exceeds the threshold in the infrared image data of the hydraulic cylinder is marked, and the Faster R-CNN target detection model is trained through historical data; The infrared image data of the hydraulic cylinder collected by the oil data acquisition module is input into the trained Faster R-CNN target detection model, the high-temperature areas in the infrared image data whose surface temperature exceeds the threshold are marked, and the area and grayscale value of the marked high-temperature areas, as well as the area and grayscale value of the hydraulic cylinder in the hydraulic cylinder infrared image data are calculated.

[0010] As a further solution of the present invention: the operation data acquisition module acquires the hydraulic rod stroke data of various hydraulic supports, the vibration data of the hydraulic cylinder surface, and the external vibration data of the oil circuits at different positions of various hydraulic supports, including the following steps: Collect the hydraulic rod stroke data of various types of hydraulic supports, including: the adjustment amount of the hydraulic rod stroke, the adjustment range of the hydraulic rod stroke and the adjustment frequency of the hydraulic rod stroke. The adjustment frequency unit of the hydraulic rod stroke is the number of adjustments of the hydraulic rod stroke per hour; The vibration data of the surface of the hydraulic cylinder and the outside of the oil suction pipeline are collected for Class I hydraulic supports; the vibration data of the outside of the oil suction pipe and the oil return pipeline are collected for Class II, Class IV and Class V hydraulic supports; and the vibration data of the outside of the oil return pipeline is collected for Class III hydraulic supports.

[0011] As a further solution of the present invention: the operation data analysis module analyzes the hydraulic support stroke parameters and vibration parameters according to the data collected by the operation data collection module, including the following steps: According to the hydraulic rod stroke data, the vibration data of the hydraulic cylinder surface and the external vibration data of the oil circuits at different positions of various types of hydraulic supports are collected to analyze the hydraulic support stroke parameters and vibration parameters through the following formula: Among them, K is the stroke parameter of the hydraulic support, La is the adjustment amount of the hydraulic rod stroke of the collected hydraulic support, L is the adjustment range of the hydraulic rod stroke, D0 is the average of all hydraulic rod stroke adjustment frequencies within the preset detection time period, and Da is the adjustment frequency of the hydraulic rod stroke of the collected hydraulic support; The vibration parameters of hydraulic support are analyzed by the following formula: Among them, J is the vibration parameter of hydraulic support, Ba is the collected vibration amplitude value of the hydraulic cylinder surface of hydraulic support, B is the average value of the vibration amplitude of the hydraulic cylinder surface within the preset detection time period, C0 is the average value of the external vibration data of all detected oil circuits within the preset detection time period, and Ca is the average value of the collected external vibration data of the detection oil circuit of hydraulic support.

[0012] As a further solution of the present invention: the oil deterioration degree analysis module analyzes the deterioration degree of the hydraulic support oil according to the waveform diagram of the travel parameters and vibration parameters of the hydraulic support over time, combined with the oil turbidity coefficient and oil volatility coefficient of the hydraulic support, including the following steps: An oil detection time interval is set at a certain interval. According to the waveform diagram of the travel parameters and vibration parameters of the hydraulic support changing with time, the oil detection time interval, the mean of the travel parameters and the vibration parameters are calculated. The area of ​​the waveform diagram of the travel parameters and the vibration parameters changing with time that is greater than the corresponding mean value is calculated. The area of ​​the figure composed of the waveform of the travel parameters and the vibration parameters changing with time and the x-axis is calculated as the total area. Combined with the oil turbidity coefficient and oil volatility coefficient of the hydraulic support, the deterioration degree of the hydraulic support oil is analyzed by the following formula:

[0013] Among them, H is the degree of deterioration of the hydraulic support oil, f1 is the percentage of the area of ​​the stroke parameter waveform greater than the mean part to the total area, f2 is the percentage of the area of ​​the vibration parameter waveform greater than the mean part to the total area, α is the turbidity coefficient of the hydraulic support oil, β is the volatility coefficient of the hydraulic support oil, K is the stroke parameter of the hydraulic support, and J is the vibration parameter of the hydraulic support.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention collects the oil turbidity data and oil viscosity data of the hydraulic support oil circuit according to the filter element positions of the first type of hydraulic support, the second type of hydraulic support and the third type of hydraulic support through the oil data acquisition module, collects the oil pressure data in the oil circuits of various types of hydraulic support, and the infrared image data of the hydraulic cylinder; the hydraulic support is classified by the installation position of the filter element in the hydraulic support oil circuit, and the oil turbidity data and oil viscosity data of the hydraulic support oil circuit can be accurately detected, which is helpful to timely detect pollutants and their changing trends, and improve the monitoring ability of oil quality. The working state of the hydraulic cylinder is observed by infrared imaging technology, which is convenient for obtaining the overall temperature of the hydraulic cylinder and facilitating the timely discovery of abnormal temperature rise.

[0015] The present invention can more accurately determine the degree of oil degradation by combining parameters such as stroke, vibration, turbidity and volatility, rather than relying on a single indicator. Real-time monitoring of the changes in various parameters over time can help to promptly discover oil degradation trends and avoid problems caused by delays. It is easy to identify potential problems, which can effectively reduce unplanned downtime caused by equipment failure and improve production efficiency. Correlating the degradation degree data with the corresponding hydraulic support number makes it easy to track the operating status and maintenance history of each device and improve management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a schematic diagram of the system framework of the present invention; Figure 2 The present invention is a schematic diagram of a method for collecting oil turbidity data and oil viscosity data of a hydraulic support oil circuit. DETAILED DESCRIPTION

[0018] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] See also Figure 1-Figure 2 The first embodiment of the present invention provides an online monitoring system for the hydraulic support oil state of a mining scraper, comprising: Hydraulic support classification module: obtain the installation data of the filter element in the hydraulic support oil circuit, classify the hydraulic support according to the installation position of the filter element in the hydraulic support oil circuit, and number different types of hydraulic supports; Oil data acquisition module: collects oil turbidity data and oil viscosity data of hydraulic support oil circuit according to the filter element position of Class I hydraulic support, Class II hydraulic support and Class III hydraulic support, collects oil pressure data in various hydraulic support oil circuits, and infrared image data of hydraulic cylinders; Oil data analysis module: Analyze the oil turbidity coefficient and oil volatility coefficient of hydraulic support according to the data collected by the oil data acquisition module; Operation data acquisition module: collects the hydraulic rod stroke data of various hydraulic supports, collects the vibration data of the hydraulic cylinder surface, and the external vibration data of the oil circuits at different positions of various hydraulic supports; Operation data analysis module: analyzes the hydraulic support stroke parameters and vibration parameters according to the data collected by the operation data acquisition module, and draws a waveform diagram of the hydraulic support stroke parameters and vibration parameters changing with time; Oil deterioration degree analysis module: According to the waveform diagram of the hydraulic support stroke parameters and vibration parameters changing with time, combined with the hydraulic support oil turbidity coefficient and oil volatility coefficient, the hydraulic support oil deterioration degree is analyzed, and the hydraulic support oil deterioration degree data obtained from the analysis is correlated with the corresponding hydraulic support number.

[0020] Specifically, in this embodiment, the installation data of the filter element in the hydraulic support oil circuit is obtained through the hydraulic support classification module, the hydraulic support is classified according to the installation position of the filter element in the hydraulic support oil circuit, and different types of hydraulic supports are numbered; The oil data acquisition module collects the oil turbidity data and oil viscosity data of the hydraulic support oil circuit according to the filter element positions of the first-class hydraulic support, the second-class hydraulic support and the third-class hydraulic support, and collects the oil pressure data in the oil circuits of various types of hydraulic support, as well as the infrared image data of the hydraulic cylinder; By classifying the hydraulic support according to the installation position of the filter element in the hydraulic support oil circuit, the oil turbidity data and oil viscosity data of the hydraulic support oil circuit can be accurately detected, which helps to detect pollutants and their changing trends in time and improve the monitoring ability of oil quality.

[0021] By observing the working status of the hydraulic cylinder through infrared imaging technology, it is convenient to obtain the overall temperature of the hydraulic cylinder and to detect abnormal temperature rise in time.

[0022] The oil data analysis module analyzes the oil turbidity coefficient and oil volatility coefficient of the hydraulic support oil circuit based on the oil turbidity data and oil viscosity data of the hydraulic support oil circuit collected by the oil data acquisition module, as well as the oil pressure data in various hydraulic support oil circuits and the infrared image data of the hydraulic cylinder; a comprehensive analysis based on turbidity, viscosity, pressure and other parameters helps to more fully understand the operating status of the hydraulic system. According to the turbidity coefficient and volatility coefficient, high turbidity or abnormal fluctuations may indicate potential faults, which facilitates early identification and handling of problems. By monitoring the oil quality and pressure volatility, it is convenient to comprehensively and effectively evaluate the potential risks in the system operation in the future, and take measures in advance to ensure operational safety.

[0023] The oil deterioration degree analysis module analyzes the deterioration degree of the hydraulic support oil according to the waveform diagram of the travel parameters and vibration parameters of the hydraulic support over time, combined with the oil turbidity coefficient and oil volatility coefficient of the hydraulic support, and correlates the deterioration degree data of the hydraulic support oil obtained by the analysis with the corresponding hydraulic support number. By combining parameters such as travel, vibration, turbidity and volatility, the deterioration degree of the oil can be judged more accurately, rather than relying on a single indicator. Real-time monitoring of the changes of various parameters over time can help to promptly discover the deterioration trend of the oil and avoid problems caused by delays. It is easy to identify potential problems, which can effectively reduce unplanned downtime caused by equipment failure and improve production efficiency. Correlating the deterioration degree data with the corresponding hydraulic support number makes it easy to track the operating status and maintenance history of each device and improve management efficiency.

[0024] In one embodiment of the present invention, hydraulic support is classified according to the installation position of the filter element in the hydraulic support oil circuit, comprising the following steps: If the filter element in the hydraulic support oil circuit is a hydraulic oil filter element for the oil suction line, the hydraulic support is classified as a Class I hydraulic support; if the filter element in the hydraulic support oil circuit is a hydraulic oil filter element for the pressure line, the hydraulic support is classified as a Class II hydraulic support; if the filter element in the hydraulic support oil circuit is a hydraulic oil filter element for the oil return line, the hydraulic support is classified as a Class III hydraulic support; if filter elements are installed in more than or equal to two of the oil suction line, pressure line, and oil return line in the hydraulic support oil circuit, the hydraulic support is classified as a Class IV hydraulic support; if filter elements are not installed in the oil suction line, pressure line, and oil return line in the hydraulic support oil circuit, the hydraulic support is classified as a Class V hydraulic support. In this embodiment, filter elements are not installed in the oil suction line, pressure line, and oil return line in the hydraulic support oil circuit, and the filter elements are generally installed near the oil circuit distribution valve.

[0025] In one embodiment of the present invention, the oil data acquisition module collects oil turbidity data and oil viscosity data of the hydraulic support oil circuit according to the filter element positions of the first type hydraulic support, the second type hydraulic support and the third type hydraulic support, including the following steps: For a type of hydraulic support, the oil turbidity on both sides of the filter element at the oil suction line in the hydraulic oil circuit is collected as the oil turbidity data before and after filtration, and the oil viscosity at the oil suction line is collected as the oil viscosity data; For Class II hydraulic support, the oil turbidity downstream of the filter element at the pressure line in the hydraulic oil circuit is collected as the oil turbidity data after filtration, the oil turbidity in the return oil line is collected as the oil turbidity data before filtration, the oil viscosity of the suction line and the return oil line is collected, and the average of the oil viscosity of the suction line and the return oil line is used as the oil viscosity data; the impact force upstream of the filter element at the pressure line is large, which can easily damage the sensor, and excessive oil pressure affects the accuracy of detection.

[0026] For the three types of hydraulic support, the oil turbidity on both sides of the filter element at the oil return line in the hydraulic oil circuit is collected as the oil turbidity data before and after filtration, and the oil viscosity at the oil return line is collected as the oil viscosity data; For Class IV and Class V hydraulic supports, the oil turbidity at the suction line in the hydraulic oil circuit is collected as the oil turbidity data after filtration, the oil turbidity in the return line is collected as the oil turbidity data before filtration, the oil viscosity of the suction line and the return line is collected, and the oil viscosity at the return line is collected as the oil viscosity data. The oil turbidity data before and after filtration at the valve is difficult to collect. The oil turbidity at the suction line in the hydraulic oil circuit is collected as the oil turbidity data after filtration, and the oil turbidity in the return line is collected as the oil turbidity data before filtration, which can also more accurately reflect the oil turbidity data before filtration.

[0027] In one embodiment of the present invention, the oil data analysis module analyzes the oil turbidity coefficient and the oil volatility coefficient of the hydraulic support according to the data collected by the oil data collection module, including the following steps: According to the oil turbidity data and oil viscosity data before and after filtration in the hydraulic oil circuit, the oil turbidity coefficient of the hydraulic support is analyzed by the following formula: Among them, α is the oil turbidity coefficient of hydraulic support, Ta is the oil turbidity data of hydraulic support oil circuit before filtration, Tb is the oil turbidity data of hydraulic support oil circuit after filtration, T0 is the standard value of oil turbidity in hydraulic support oil circuit, μ is the oil viscosity data in hydraulic support oil circuit, μ0 is the standard value of oil viscosity data in hydraulic support oil circuit; Specifically, in this embodiment, the turbidity of the hydraulic oil is usually controlled below 10NTU, the standard value of the oil turbidity in the oil circuit of the hydraulic support is set to 6NTU, the viscosity range of commonly used mineral-based hydraulic oil is 32 cSt to 68cSt, and in this embodiment, the standard value of the oil viscosity data in the oil circuit of the hydraulic support is set to 50cSt.

[0028] According to the infrared image data of the hydraulic cylinder collected by the oil data collection module, the area and gray value of the high temperature area of ​​the infrared image data of the hydraulic cylinder are analyzed; According to the oil pressure data of various hydraulic support oil circuits and the infrared image data of hydraulic cylinders, the oil volatility coefficient of hydraulic support is analyzed by the following formula: Among them, β is the oil volatility coefficient of hydraulic support, Sa is the area of ​​the high temperature area in the infrared image data, S is the area of ​​the hydraulic cylinder in the infrared image data of the hydraulic cylinder, S0 is the standard value of the area of ​​the high temperature area in the infrared image data, Ga is the grayscale value of the high temperature area in the infrared image data, G is the grayscale value of the hydraulic cylinder in the infrared image data of the hydraulic cylinder, G0 is the standard value of the grayscale value of the high temperature area in the infrared image data, Pa is the pressure data of the oil in the hydraulic support oil circuit, and P0 is the standard value of the pressure data of the oil in the hydraulic support oil circuit.

[0029] Specifically, in this embodiment, historical data of detection data in various types of hydraulic support oil circuits are obtained, and the pressure data of oil in various types of hydraulic support oil circuits with normal temperature and normal pressure, as well as the infrared image data of hydraulic cylinders are screened in the historical data. The mean value of the high-temperature area in the screened infrared image data is calculated as the standard value, the mean value of the grayscale value of the high-temperature area in the infrared image data is calculated as the standard value, and the standard value of the pressure data of the oil in the hydraulic support oil circuit.

[0030] In one embodiment of the present invention, according to the infrared image data of the hydraulic cylinder collected by the oil data collection module, analyzing the area and grayscale value of the high temperature area of ​​the infrared image data of the hydraulic cylinder includes the following steps: Acquire the infrared image data of the hydraulic cylinder when the temperature of the hydraulic cylinder exceeds the threshold value, and the surface temperature detection value of the hydraulic cylinder in the historical data; When the temperature of the hydraulic cylinder exceeds the threshold, the high-temperature area where the surface temperature exceeds the threshold in the infrared image data of the hydraulic cylinder is marked, and the Faster R-CNN target detection model is trained through historical data; The infrared image data of the hydraulic cylinder collected by the oil data acquisition module is input into the trained Faster R-CNN target detection model, the high-temperature areas in the infrared image data whose surface temperature exceeds the threshold are marked, and the area and grayscale value of the marked high-temperature areas, as well as the area and grayscale value of the hydraulic cylinder in the hydraulic cylinder infrared image data are calculated.

[0031] In one embodiment of the present invention, the operation data acquisition module acquires the hydraulic rod stroke data of various hydraulic supports, the vibration data of the hydraulic cylinder surface, and the external vibration data of the oil circuits at different positions of various hydraulic supports, including the following steps: Collect the hydraulic rod stroke data of various types of hydraulic supports, including: the adjustment amount of the hydraulic rod stroke, the adjustment range of the hydraulic rod stroke and the adjustment frequency of the hydraulic rod stroke. The adjustment frequency unit of the hydraulic rod stroke is the number of adjustments of the hydraulic rod stroke per hour; The vibration data of the surface of the hydraulic cylinder and the outside of the oil suction pipeline are collected for Class I hydraulic supports; the vibration data of the outside of the oil suction pipe and the oil return pipeline are collected for Class II, Class IV and Class V hydraulic supports; and the vibration data of the outside of the oil return pipeline is collected for Class III hydraulic supports.

[0032] In one embodiment of the present invention, the operation data analysis module analyzes the hydraulic support stroke parameters and vibration parameters according to the data collected by the operation data collection module, including the following steps: According to the hydraulic rod stroke data, the vibration data of the hydraulic cylinder surface and the external vibration data of the oil circuits at different positions of various types of hydraulic supports are collected to analyze the hydraulic support stroke parameters and vibration parameters through the following formula: Among them, K is the stroke parameter of the hydraulic support, La is the adjustment amount of the hydraulic rod stroke of the collected hydraulic support, L is the adjustment range of the hydraulic rod stroke, D0 is the average of all hydraulic rod stroke adjustment frequencies within the preset detection time period, and Da is the adjustment frequency of the hydraulic rod stroke of the collected hydraulic support; The vibration parameters of hydraulic support are analyzed by the following formula: Among them, J is the vibration parameter of hydraulic support, Ba is the collected vibration amplitude value of the hydraulic cylinder surface of hydraulic support, B is the average value of the vibration amplitude of the hydraulic cylinder surface within the preset detection time period, C0 is the average value of the external vibration data of all detected oil circuits within the preset detection time period, and Ca is the average value of the collected external vibration data of the detection oil circuit of hydraulic support.

[0033] In one embodiment of the present invention, the oil deterioration degree analysis module analyzes the deterioration degree of the hydraulic support oil according to the waveform diagram of the travel parameters and vibration parameters of the hydraulic support over time, combined with the oil turbidity coefficient and oil volatility coefficient of the hydraulic support, including the following steps: An oil detection time interval is set at a certain interval. According to the waveform diagram of the travel parameters and vibration parameters of the hydraulic support changing with time, the oil detection time interval, the mean of the travel parameters and the vibration parameters are calculated. The area of ​​the waveform diagram of the travel parameters and the vibration parameters changing with time that is greater than the corresponding mean value is calculated. The area of ​​the figure composed of the waveform of the travel parameters and the vibration parameters changing with time and the x-axis is calculated as the total area. Combined with the oil turbidity coefficient and oil volatility coefficient of the hydraulic support, the deterioration degree of the hydraulic support oil is analyzed by the following formula: Among them, H is the degree of deterioration of the hydraulic support oil, f1 is the percentage of the area of ​​the stroke parameter waveform greater than the mean part to the total area, f2 is the percentage of the area of ​​the vibration parameter waveform greater than the mean part to the total area, α is the turbidity coefficient of the hydraulic support oil, β is the volatility coefficient of the hydraulic support oil, K is the stroke parameter of the hydraulic support, and J is the vibration parameter of the hydraulic support.

[0034] Specifically, in this embodiment, whether the hydraulic support oil needs to be replaced is analyzed based on the calculated deterioration degree of the hydraulic support oil. If the deterioration degree of the hydraulic support oil is greater than 0.1, the oil needs to be replaced, otherwise the oil does not need to be replaced.

[0035] By tracking the changes in the degree of deterioration of the hydraulic support oil and judging the trend of the oil deterioration degree, it is convenient to analyze under what conditions of use the oil deterioration degree changes less and under what conditions the oil deterioration degree increases faster. This helps users determine the appropriate use conditions for hydraulic supports and helps to extend the service life of hydraulic supports.

[0036] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The online monitoring system for hydraulic support oil status of mining scraper is characterized by: include: Hydraulic support classification module: obtain the installation data of the filter element in the hydraulic support oil circuit, classify the hydraulic support according to the installation position of the filter element in the hydraulic support oil circuit, and number different types of hydraulic supports; Oil data acquisition module: collects oil turbidity data and oil viscosity data of hydraulic support oil circuit according to the filter element position of Class I hydraulic support, Class II hydraulic support and Class III hydraulic support, collects oil pressure data in various hydraulic support oil circuits, and infrared image data of hydraulic cylinders; Oil data analysis module: Analyze the oil turbidity coefficient and oil volatility coefficient of hydraulic support according to the data collected by the oil data acquisition module; Operation data acquisition module: collects the hydraulic rod stroke data of various hydraulic supports, collects the vibration data of the hydraulic cylinder surface, and the external vibration data of the oil circuits at different positions of various hydraulic supports; Operation data analysis module: analyzes the hydraulic support stroke parameters and vibration parameters according to the data collected by the operation data acquisition module, and draws a waveform diagram of the hydraulic support stroke parameters and vibration parameters changing with time; Oil deterioration degree analysis module: According to the waveform diagram of the hydraulic support stroke parameters and vibration parameters changing with time, combined with the hydraulic support oil turbidity coefficient and oil volatility coefficient, the hydraulic support oil deterioration degree is analyzed, and the hydraulic support oil deterioration degree data obtained from the analysis is correlated with the corresponding hydraulic support number.

2. The online monitoring system for hydraulic support oil status of a mining scraper according to claim 1 is characterized in that: Classifying hydraulic supports according to the installation position of the filter element in the hydraulic support oil circuit includes the following steps: If the filter element in the hydraulic support oil circuit is the hydraulic oil filter element of the oil suction line, the hydraulic support is classified as Class I hydraulic support; if the filter element in the hydraulic support oil circuit is the hydraulic oil filter element of the pressure line, the hydraulic support is classified as Class II hydraulic support; if the filter element in the hydraulic support oil circuit is the hydraulic oil filter element of the return line, the hydraulic support is classified as Class III hydraulic support; if filter elements are installed in two or more of the suction line, pressure line and return line in the hydraulic support oil circuit, the hydraulic support is classified as Class IV hydraulic support; if filter elements are not installed in the suction line, pressure line and return line in the hydraulic support oil circuit, the hydraulic support is classified as Class V hydraulic support.

3. The online monitoring system for hydraulic support oil status of a mining scraper according to claim 2 is characterized in that: The oil data acquisition module acquires oil turbidity data and oil viscosity data of the hydraulic support oil circuit according to the filter element positions of the first-class hydraulic support, the second-class hydraulic support and the third-class hydraulic support, and includes the following steps: For a type of hydraulic support, the oil turbidity on both sides of the filter element at the oil suction line in the hydraulic oil circuit is collected as the oil turbidity data before and after filtration, and the oil viscosity at the oil suction line is collected as the oil viscosity data; For Class II hydraulic support, the oil turbidity downstream of the filter element at the pressure line in the hydraulic oil circuit is collected as the oil turbidity data after filtration, the oil turbidity in the return oil line is collected as the oil turbidity data before filtration, and the oil viscosity of the suction oil line and the return oil line is collected, and the average value of the oil viscosity of the suction oil line and the return oil line is taken as the oil viscosity data; For the three types of hydraulic support, the oil turbidity on both sides of the filter element at the oil return line in the hydraulic oil circuit is collected as the oil turbidity data before and after filtration, and the oil viscosity at the oil return line is collected as the oil viscosity data; For Class IV hydraulic supports and Class V hydraulic supports, the oil turbidity at the oil suction line in the hydraulic oil circuit is collected as the oil turbidity data after filtration, and the oil turbidity in the oil return line is collected as the oil turbidity data before filtration. The oil viscosity of the oil suction line and the oil return line is collected, and the oil viscosity at the oil return line is collected as the oil viscosity data.

4. The online monitoring system for hydraulic support oil status of a mining scraper according to claim 1 is characterized in that: The oil data analysis module analyzes the oil turbidity coefficient and oil volatility coefficient of the hydraulic support according to the data collected by the oil data collection module, including the following steps: According to the oil turbidity data and oil viscosity data before and after filtration in the hydraulic oil circuit, the oil turbidity coefficient of the hydraulic support is analyzed by the following formula: Among them, α is the oil turbidity coefficient of hydraulic support, Ta is the oil turbidity data of hydraulic support oil circuit before filtration, Tb is the oil turbidity data of hydraulic support oil circuit after filtration, T0 is the standard value of oil turbidity in hydraulic support oil circuit, μ is the oil viscosity data in hydraulic support oil circuit, μ0 is the standard value of oil viscosity data in hydraulic support oil circuit; According to the infrared image data of the hydraulic cylinder collected by the oil data collection module, the area and gray value of the high temperature area of ​​the infrared image data of the hydraulic cylinder are analyzed; According to the oil pressure data of various hydraulic support oil circuits and the infrared image data of hydraulic cylinders, the oil volatility coefficient of hydraulic support is analyzed by the following formula: Among them, β is the oil volatility coefficient of hydraulic support, Sa is the area of ​​the high temperature area in the infrared image data, S is the area of ​​the hydraulic cylinder in the infrared image data of the hydraulic cylinder, S0 is the standard value of the area of ​​the high temperature area in the infrared image data, Ga is the grayscale value of the high temperature area in the infrared image data, G is the grayscale value of the hydraulic cylinder in the infrared image data of the hydraulic cylinder, G0 is the standard value of the grayscale value of the high temperature area in the infrared image data, Pa is the pressure data of the oil in the hydraulic support oil circuit, and P0 is the standard value of the pressure data of the oil in the hydraulic support oil circuit.

5. The online monitoring system for hydraulic support oil status of a mining scraper according to claim 4 is characterized in that: According to the infrared image data of the hydraulic cylinder collected by the oil data acquisition module, the area and grayscale value of the high temperature area of ​​the infrared image data of the hydraulic cylinder are analyzed, including the following steps: Acquire the infrared image data of the hydraulic cylinder when the temperature of the hydraulic cylinder exceeds the threshold value, and the surface temperature detection value of the hydraulic cylinder in the historical data; When the temperature of the hydraulic cylinder exceeds the threshold, the high-temperature area where the surface temperature exceeds the threshold in the infrared image data of the hydraulic cylinder is marked, and the Faster R-CNN target detection model is trained through historical data; The infrared image data of the hydraulic cylinder collected by the oil data acquisition module is input into the trained Faster R-CNN target detection model, the high-temperature areas in the infrared image data whose surface temperature exceeds the threshold are marked, and the area and grayscale value of the marked high-temperature areas, as well as the area and grayscale value of the hydraulic cylinder in the hydraulic cylinder infrared image data are calculated.

6. The online monitoring system for hydraulic support oil status of a mining scraper according to claim 1, characterized in that: The operation data acquisition module acquires the hydraulic rod stroke data of various hydraulic supports, the vibration data of the hydraulic cylinder surface, and the external vibration data of the oil circuits at different positions of various hydraulic supports, including the following steps: Collect the hydraulic rod stroke data of various types of hydraulic supports, including: the adjustment amount of the hydraulic rod stroke, the adjustment range of the hydraulic rod stroke and the adjustment frequency of the hydraulic rod stroke; The vibration data of the surface of the hydraulic cylinder and the outside of the oil suction pipeline are collected for Class I hydraulic supports; the vibration data of the outside of the oil suction pipe and the oil return pipeline are collected for Class II, Class IV and Class V hydraulic supports; and the vibration data of the outside of the oil return pipeline is collected for Class III hydraulic supports.

7. The online monitoring system for hydraulic support oil status of a mining scraper according to claim 1 is characterized in that: The operation data analysis module analyzes the hydraulic support stroke parameters and vibration parameters according to the data collected by the operation data collection module, including the following steps: According to the hydraulic rod stroke data, the vibration data of the hydraulic cylinder surface and the external vibration data of the oil circuits at different positions of various types of hydraulic supports are collected to analyze the hydraulic support stroke parameters and vibration parameters through the following formula: Among them, K is the stroke parameter of the hydraulic support, La is the adjustment amount of the hydraulic rod stroke of the collected hydraulic support, L is the adjustment range of the hydraulic rod stroke, D0 is the average of all hydraulic rod stroke adjustment frequencies within the preset detection time period, and Da is the adjustment frequency of the hydraulic rod stroke of the collected hydraulic support; The vibration parameters of hydraulic support are analyzed by the following formula: Among them, J is the vibration parameter of hydraulic support, Ba is the collected vibration amplitude value of the hydraulic cylinder surface of hydraulic support, B is the average value of the vibration amplitude of the hydraulic cylinder surface within the preset detection time period, C0 is the average value of the external vibration data of all detected oil circuits within the preset detection time period, and Ca is the average value of the collected external vibration data of the detection oil circuit of hydraulic support.

8. The online monitoring system for hydraulic support oil status of a mining scraper according to claim 1, characterized in that: The oil deterioration degree analysis module analyzes the deterioration degree of the hydraulic support oil according to the waveform diagram of the travel parameters and vibration parameters of the hydraulic support over time, combined with the oil turbidity coefficient and oil volatility coefficient of the hydraulic support, and includes the following steps: An oil detection time interval is set at a certain interval. According to the waveform diagram of the travel parameters and vibration parameters of the hydraulic support changing with time, the oil detection time interval, the mean of the travel parameters and the vibration parameters are calculated. The area of ​​the waveform diagram of the travel parameters and the vibration parameters changing with time that is greater than the corresponding mean value is calculated. The area of ​​the figure composed of the waveform of the travel parameters and the vibration parameters changing with time and the x-axis is calculated as the total area. Combined with the oil turbidity coefficient and oil volatility coefficient of the hydraulic support, the deterioration degree of the hydraulic support oil is analyzed by the following formula: Among them, H is the degree of deterioration of the hydraulic support oil, f1 is the percentage of the area of ​​the stroke parameter waveform greater than the mean part to the total area, f2 is the percentage of the area of ​​the vibration parameter waveform greater than the mean part to the total area, α is the turbidity coefficient of the hydraulic support oil, β is the volatility coefficient of the hydraulic support oil, K is the stroke parameter of the hydraulic support, and J is the vibration parameter of the hydraulic support.

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