CN115436051B - Hydraulic support pressure abnormality identification method - Google Patents
Hydraulic support pressure abnormality identification method Download PDFInfo
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- CN115436051B CN115436051B CN202211087444.4A CN202211087444A CN115436051B CN 115436051 B CN115436051 B CN 115436051B CN 202211087444 A CN202211087444 A CN 202211087444A CN 115436051 B CN115436051 B CN 115436051B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/003—Machine valves
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
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Abstract
The invention discloses a hydraulic support pressure anomaly identification method, which comprises the steps of obtaining support pressure and drawing a support pressure change curve; dividing a bracket pressure change curve into a plurality of pressure change curves taking the bracket action cycle period as a unit according to the bracket action cycle period, and extracting time sequence characteristics of the pressure change curves; identifying a fluctuation section of a pressure change curve after the bracket safety valve is opened, and determining a pressure peak value of the fluctuation section as the opening pressure of the bracket safety valve; combining the time sequence characteristic and the opening pressure of the bracket safety valve, and judging the opening fault of the bracket safety valve; and in combination with the time sequence characteristics, judging the abnormal condition of the stent pressure. The invention has the advantages that the abnormal type of the pressure of the bracket can be automatically identified without adding an additional sensor, including the opening fault of the safety valve, the leakage of the bracket, the virtual roof of the bracket, the fault of the sensor and the like, thereby reducing the labor cost and providing a basis for accurately judging the pressure release threshold of the safety valve.
Description
Technical Field
The invention relates to the field of automatic analysis of coal face data, in particular to a method for identifying pressure anomalies of a hydraulic support.
Background
The intelligent working of the fully mechanized coal mining equipment of the coal mining working face depends on the identification of each technological process in the production operation process, and the identification of the technological process based on the data of the equipment working process is the basis for realizing the intelligent working of the fully mechanized coal mining equipment. At present, the informatization level in the coal mining process of the coal mine has a certain foundation, and a part of production data with imperfect data quality is formed, but due to the lack of an analysis method for the data, sufficient data mining cannot be performed, so that more effective decision data is provided for the coal mining process.
The hydraulic support pressure in the fully mechanized complete equipment is a key parameter for guaranteeing the fully mechanized working face of the coal mine, and in actual work, the safety valve of the support pressure is opened for various reasons to cause faults, and the back of the abnormal support pressure often conceals the problems of support virtual roof, support leakage and the like. In the current comprehensive intelligent management, after the pressure of the support is transmitted back to the background monitoring system, on-site operators can check real-time pressure data through a system monitoring interface, and meanwhile, when the pressure data exceeds a set limit value, an alarm prompt can be sent out. However, in actual work, it is found that the bracket pressure data changes in real time, and the bracket pressure which does not exceed the set limit value still may be abnormal, and often an operator needs to comprehensively determine and identify abnormal conditions by combining the bracket pressure at a certain moment, the pressure of a nearby bracket and the coal mining process stage in a previous period. Although the abnormal pressure of the support can be identified by means of systematic manual observation, the timeliness and the automation degree of the identification are deficient, the workload is large, the dependence on manual experience is large, and the intelligent target of coal mining is contradicted.
Disclosure of Invention
The invention aims to provide a method for identifying pressure abnormality of a hydraulic support.
In order to achieve the above purpose, the invention adopts the following technical scheme:
the invention relates to a method for identifying pressure abnormality of a hydraulic support, which comprises the following steps:
s1, obtaining stent pressure and drawing a stent pressure change curve;
s2, dividing a stent pressure change curve into a plurality of pressure change curves taking the stent action cycle period as a unit according to the stent action cycle period, and extracting time sequence characteristics of the pressure change curves;
s3, identifying a fluctuation section of a pressure change curve after the bracket safety valve is opened, and determining a pressure peak value of the fluctuation section as the opening pressure of the bracket safety valve;
s4, combining the time sequence characteristic and the opening pressure of the support safety valve, and judging the opening fault of the support safety valve;
s5, combining the time sequence characteristics, and judging the abnormal condition of the stent pressure.
According to the invention, by establishing a data analysis method for automatically identifying support pressure abnormality, the opening pressure value of a safety valve of the support is calculated according to pressure time sequence data of the support in a large number of pressure cycle resistance increasing sections, and the starting and stopping time of a pressure overrun period caused by support safety valve faults is extracted; according to analysis of the shape of the stent pressure curve of the resistance increasing section in each pressure cycle, the start and stop time of abnormal decrease of the stent pressure is extracted, so that the automatic identification of the stent pressure abnormality is achieved, and an analysis basis is provided for the investigation of potential safety hazards behind the stent pressure abnormality.
Further, in step S2, the cycle of the stand motion includes a stand lowering, a stand moving, a stand lifting and a pushing.
Further, in step S2, the method for extracting the timing characteristics includes: calculating differential values of the stent pressure at adjacent time intervals, and splitting the pressure change curve into a series of monotone segments; and further screening and merging based on the variation amplitude and duration of the monotonic segments, extracting each ascending segment and each descending segment in the monotonic segments, and counting the duration and amplitude of the ascending segment, the duration and the amplitude of the descending segment, the duration of the fluctuation segment and the start-stop time of each bracket action.
Further, the fluctuation segment refers to a plurality of frequently alternating ascending segments and descending segments, and a plurality of monotone segments are short in duration and small in pressure change amplitude.
Further, in step S3, identifying the fluctuation section of the bracket pressure after the bracket safety valve is opened includes screening out the fluctuation section of the pressure change curve representing the pressure change curve after the bracket safety valve is opened according to the start-stop time of the bracket action.
Further, in step S4, the judging of the opening failure of the bracket safety valve includes: and screening out an ascending section of the current pressure change curve, comparing the pressure peak value of the ascending section with the opening pressure of the bracket safety valve in the last pressure change curve, and judging that the bracket safety valve is opened in a corresponding period of the ascending section if the pressure peak value of the ascending section exceeds the opening pressure of the bracket safety valve in the last pressure change curve and then does not drop.
Further, in step S5, the determining the abnormal stent pressure condition includes: if the rising section of the pressure change curve reaches the pressure peak value, and a falling section with larger pressure drop amplitude and larger pressure drop speed appears, judging that the stent pressure in the corresponding period of the falling section is abnormally reduced; if the abnormal drop of the stent pressure occurs continuously in a plurality of stent action cycle periods or in the same stent action cycle period, the abnormal leakage of the stent pressure is judged.
The invention has the advantages that the abnormal type of the bracket pressure can be automatically identified only by depending on the existing pressure data and the action cycle state of the bracket without adding an additional sensor, including the opening fault of the safety valve, the leakage of the bracket, the virtual top of the bracket, the fault of the sensor and the like, thereby reducing the labor cost, providing a basis for accurately judging the pressure release threshold of the safety valve and reducing the safety risk brought by privately modifying the pressure release threshold of the safety valve on the operation site; meanwhile, faults of related equipment can be found in time, key alarm information is provided, the number of times of unexpected shutdown maintenance is reduced, the safety production safety level of a coal mine is improved, and the comprehensive mining efficiency is improved.
Drawings
Fig. 1 is a flow chart of the method of the present invention.
Fig. 2 is a diagram showing an example of raw data in the method according to the present invention.
FIG. 3 is an illustration showing an abnormal example of a pressure change curve when a poppet relief valve is opened abnormally in the method according to the present invention.
FIG. 4 is a graph showing an abnormal example of a pressure change curve when the stent pressure leaks in the method according to the present invention.
Detailed Description
The following description of the technical solutions in the embodiments of the present invention will be clear and complete, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the method for identifying the pressure abnormality of the hydraulic support, provided by the invention, comprises the following steps:
first, the stent pressure is acquired as raw data, and as shown in fig. 2, a stent pressure change curve can be constructed. And dividing the stent pressure into a plurality of pressure change curves in the stent action cycle period according to the stent action cycle period.
Usually, one bracket action cycle comprises four basic bracket actions, namely a descending column, a moving frame, a lifting column and a pushing and sliding column, and the starting and stopping time of each bracket action cycle and the execution time, the moving frame, the pushing and sliding stroke and other information of each action in each bracket action cycle can be obtained through the prior art.
And secondly, extracting time sequence characteristics of the pressure change curve in the action cycle period of the bracket. The specific method comprises the following steps: dividing a pressure change curve in a bracket action cycle period into a series of monotone segments by calculating differential values of bracket pressure data in adjacent time sequences, further screening, merging and the like on the divided monotone segments based on information such as change amplitude, duration and the like of the monotone segments, and finally extracting each ascending segment and each descending segment in the pressure change curve in the bracket action cycle period. And counting each ascending segment and descending segment to obtain the characteristics of ascending segment duration, ascending segment amplitude, descending segment duration, descending segment amplitude, fluctuation segment duration and the like. Wherein the wave segments are frequently alternating rising and falling segments and wherein each monotonic segment is of short duration and of small and substantially comparable magnitude.
According to the information of executing time, frame moving, pushing and sliding stroke and the like of each motion in each support motion cycle, a characteristic section representing the up-and-down fluctuation of support pressure after the safety valve is opened can be identified from a pressure change curve, the pressure peak value of the characteristic section is counted, and the pressure peak value is used as the safety valve opening pressure in the support motion process and is stored in a safety valve opening pressure setting table.
Then, combining the time sequence characteristic of the pressure change curve in the bracket action cycle period and the corresponding relief valve opening pressure in the bracket action process, and carrying out relief valve opening fault judgment, wherein the method specifically comprises the following steps:
and screening out an ascending section of a pressure change curve of the bracket in the current bracket action cycle period aiming at a certain bracket, comparing a pressure peak value of the ascending section with the opening pressure of the bracket safety valve in the bracket action cycle period of the last bracket, judging that the bracket safety valve in the corresponding period of the ascending section is opened by failure abnormality of the bracket safety valve if the pressure peak value of the ascending section exceeds the opening pressure of the bracket safety valve in the bracket action cycle period of the last bracket and recording the opening failure information of the bracket safety valve into a bracket safety valve opening failure research judging table. As shown in fig. 3, an abnormal example of the pressure change curve that is shown when the bracket relief valve is open is shown in the black box.
Meanwhile, based on the time sequence characteristic of the pressure change curve in the action cycle period of the bracket, the abnormal pressure drop condition of the bracket is researched, judged and analyzed, and the method specifically comprises the following steps:
if the rising section of the pressure change curve in the current bracket action cycle period reaches a pressure peak value, and a falling section with larger pressure drop amplitude and larger pressure drop speed appears, judging that the bracket pressure in the corresponding period of the falling section is abnormally reduced; if the stent continuously drops in a plurality of stent action cycle periods or in the same stent action cycle period, judging that the stent pressure leaks abnormally, and recording the analysis result into a stent leakage judging table. As shown in fig. 4, in the drawing, a pressure change curve abnormality shown at the time of a stent pressure leakage failure is illustrated in a black box.
Claims (5)
1. The method for identifying the pressure abnormality of the hydraulic support is characterized by comprising the following steps of:
s1, obtaining stent pressure and drawing a stent pressure change curve;
s2, dividing a stent pressure change curve into a plurality of pressure change curves taking the stent action cycle period as a unit according to the stent action cycle period, and extracting time sequence characteristics of the pressure change curves;
s3, identifying a fluctuation section of a pressure change curve after the bracket safety valve is opened, and determining a pressure peak value of the fluctuation section as the opening pressure of the bracket safety valve;
s4, combining the time sequence characteristic and the opening pressure of the support safety valve, and judging the opening fault of the support safety valve;
s5, combining the time sequence characteristics, and judging the abnormal condition of the stent pressure;
in step S2, the method for extracting the timing sequence feature includes: calculating differential values of the stent pressure at adjacent time intervals, and splitting the pressure change curve into a series of monotone segments; based on the change amplitude and duration of the monotonic segment, further screening and merging, extracting each ascending segment and each descending segment in the monotonic segment, and counting the duration and amplitude of the ascending segment, the duration and the amplitude of the descending segment, the duration of the fluctuation segment and the start-stop time of each bracket action;
the fluctuation section refers to a plurality of frequently alternating ascending sections and descending sections, and the monotone sections have short duration and small pressure change amplitude.
2. The shearer position sensor anomaly identification method of claim 1, wherein: and S2, the action cycle period of the support comprises support descending, support moving, support lifting and pushing.
3. The shearer position sensor anomaly identification method of claim 1, wherein: and S3, identifying the fluctuation section of the bracket pressure after the bracket safety valve is opened comprises screening out the fluctuation section of the pressure change curve representing the bracket safety valve after the bracket safety valve is opened according to the start-stop time of the bracket action.
4. The shearer position sensor anomaly identification method of claim 1, wherein: and S4, judging the opening fault of the bracket safety valve by grinding comprises the following steps: and screening out an ascending section of the current pressure change curve, comparing the pressure peak value of the ascending section with the opening pressure of the bracket safety valve in the last pressure change curve, and judging that the bracket safety valve is opened in a corresponding period of the ascending section if the pressure peak value of the ascending section exceeds the opening pressure of the bracket safety valve in the last pressure change curve and then does not drop.
5. The shearer position sensor anomaly identification method of claim 1, wherein: and S5, judging the abnormal conditions of the stent pressure by the aid of the method, wherein the step of judging the abnormal conditions of the stent pressure comprises the following steps: if the rising section of the pressure change curve reaches the pressure peak value, and a falling section with larger pressure drop amplitude and larger pressure drop speed appears, judging that the stent pressure in the corresponding period of the falling section is abnormally reduced; if the abnormal drop of the stent pressure occurs continuously in a plurality of stent action cycle periods or in the same stent action cycle period, the abnormal leakage of the stent pressure is judged.
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Citations (4)
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| CN110728003A (en) * | 2019-10-17 | 2020-01-24 | 天地科技股份有限公司 | Intelligent prediction method for pressure of hydraulic support on working face of underground coal mine |
| CN111911214A (en) * | 2020-06-24 | 2020-11-10 | 中煤科工开采研究院有限公司 | Method for monitoring working state of safety valve of hydraulic support |
| CN112052563A (en) * | 2020-08-05 | 2020-12-08 | 东北大学 | Method for determining hinge point load of hydraulic support pressing frame test based on virtual prototype technology |
| CN112302720A (en) * | 2020-09-30 | 2021-02-02 | 中煤科工开采研究院有限公司 | Method and system for judging initial supporting force and cycle end resistance of working surface hydraulic support |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110728003A (en) * | 2019-10-17 | 2020-01-24 | 天地科技股份有限公司 | Intelligent prediction method for pressure of hydraulic support on working face of underground coal mine |
| CN111911214A (en) * | 2020-06-24 | 2020-11-10 | 中煤科工开采研究院有限公司 | Method for monitoring working state of safety valve of hydraulic support |
| CN112052563A (en) * | 2020-08-05 | 2020-12-08 | 东北大学 | Method for determining hinge point load of hydraulic support pressing frame test based on virtual prototype technology |
| CN112302720A (en) * | 2020-09-30 | 2021-02-02 | 中煤科工开采研究院有限公司 | Method and system for judging initial supporting force and cycle end resistance of working surface hydraulic support |
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Address after: 719000 Laide building, Jianye Avenue, high tech Industrial Park, Yulin City, Shaanxi Province Applicant after: Guoneng Yulin Energy Co.,Ltd. Applicant after: Zhengzhou Hengda Intelligent Control Technology Co.,Ltd. Applicant after: BEIJING INNOVATION CENTER FOR INDUSTRIAL BIG DATA CO.,LTD. Address before: 719000 Laide building, Jianye Avenue, high tech Industrial Park, Yulin City, Shaanxi Province Applicant before: Guoneng Yulin Energy Co.,Ltd. Applicant before: HYDRAULIC & ELECTRIC CONTROL EQUIPMENT CO LTD ZHENGZHOU COAL MINING MACHINERY GROUP Co.,Ltd. Applicant before: BEIJING INNOVATION CENTER FOR INDUSTRIAL BIG DATA CO.,LTD. |
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