Hydraulic support behavior classification method

By automatically analyzing the hydraulic support data and identifying the relationship between its action cycle and coal mining knife, the problem of relying on manual experience in the division of hydraulic support action behaviors is solved, intelligent management and unified data analysis of comprehensive mining equipment are realized, and the process management capabilities of comprehensive mining equipment are improved.

CN115408797BActive Publication Date: 2025-07-29YULIN SHENHUA ENERGY CO LTD +2
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Patent Information

Application Number
CN202211087274.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-09-07
Publication Date
2025-07-29
Estimated Expiration
2042-09-07

AI Technical Summary

Technical Problem

In the prior art, the division of hydraulic support action behaviors depends on manual experience, resulting in unclear and inconsistent division rules, making it difficult to achieve intelligent management of comprehensive mining equipment, and lack of unified data analysis capabilities.

Method used

By automatically analyzing the hydraulic support pressure data, bracket action code and forward slip displacement data, an action behavior division algorithm is established, and the ownership relationship between the hydraulic support action cycle and coal mining knife is identified, forming action execution time and displacement result data.

Benefits of technology

It realizes the automatic division of hydraulic support action behaviors, provides quantitative process analysis data, improves the management level of comprehensive mining equipment, provides a data basis for the intelligence of coal mines, and supports the prediction and optimization of equipment processes.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention discloses a method for classifying the behaviors of hydraulic supports. The start and end times of the lowering, moving, raising, and pushing operations of the hydraulic supports, the pressure cycle period of the hydraulic supports, the start and end times of each pressure cycle period, the statistical analysis of the behavior parameters of the hydraulic supports within each pressure cycle period, and the stroke information of the complete shear are obtained based on the appearance and disappearance times of the action codes of the hydraulic supports, the front conveyor displacement curve, the pressure curve, and the start and end times of the complete shear. The advantage of the present invention is that by establishing a data analysis algorithm for automatically classifying the action behaviors of hydraulic supports, it is possible to automatically analyze the pressure data of the hydraulic supports, the action code data of the supports, and the front conveyor displacement stroke data of the supports, establish the attribution relationship between the support action cycle and the coal cutting shear, and form result data contents such as the execution time of the action, the moving and pushing strokes, etc., so as to achieve the purpose of automatically classifying the action behaviors of hydraulic supports.
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Description

Technical Field

[0001] The present invention relates to the field of automatic analysis of data in coal mining faces, and in particular to a method for classifying the behaviors of hydraulic supports. Background Art

[0002] The intelligent operation of fully mechanized mining equipment in current coal mining faces depends on accurately identifying each technological process during the production operation. Identifying technological processes based on data during the equipment operation process is the foundation for realizing the intelligence of fully mechanized mining equipment.

[0003] At present, there is a certain foundation in the informatization level during the coal mining process in coal mines, and a part of production data with not very perfect data quality has been formed. However, there is still a lack of analysis methods for how to analyze and utilize these data to accelerate the intelligence of fully mechanized mining equipment.

[0004] Among them, the hydraulic support is a key equipment for ensuring the coal mining face in the fully mechanized mining equipment set. The data generated by the technological behaviors of the hydraulic support during the production process can truly reflect the coal mining production operation process. At the same time, the support action of the hydraulic support is a key behavior affecting the coal mining efficiency of the fully mechanized mining face. Classifying various action behaviors of the hydraulic support based on the data characteristics of the hydraulic support behavior is the key foundation for realizing the intelligence of fully mechanized mining.

[0005] Currently, the pressure data of the hydraulic support collected through the control system can assist on-site operators to view the real-time operation situation. However, the method for classifying the action behaviors of the hydraulic support based on the pressure data of the hydraulic support mainly relies on the operation experience of on-site operators. Based on the action cycle of the hydraulic support, large action behaviors are artificially classified, and it is necessary to view the data characteristics of the corresponding behaviors in combination with the actual technological behaviors at the operation site. This method for classifying the action behaviors of the hydraulic support highly depends on the experience of on-site operators, cannot provide a quantitative classification result for the subsequent intelligence of fully mechanized mining equipment, and the artificial experience classification method often leads to problems such as unclear classification rules and inconsistent multiple classifications, making it difficult to uniformly classify and analyze historical data, provide effective prediction guidance for the work at the operation site, with insufficient practicality and contrary to the goal of coal mine intelligence. Summary of the Invention

[0006] The purpose of the present invention is to provide a method for classifying the behaviors of hydraulic supports.

[0007] To achieve the above purpose, the present invention adopts the following technical solutions:

[0008] The method for classifying the behaviors of the hydraulic support according to the present invention includes the following steps:

[0009] S1, according to the appearance and disappearance times of the hydraulic support action codes, obtain the start and end times of the lowering, moving, raising, and pushing actions of the hydraulic support;

[0010] S2. Draw a front conveyor displacement curve based on the front conveyor displacement-time data of the hydraulic support, and extract the monotonic segments of the front conveyor displacement curve.

[0011] S3. Draw a pressure curve based on the pressure-time data of the hydraulic support, find the minimum value points in the pressure curve, take the minimum value points as the end points, and search forward for the starting points that meet the requirements. Determine the pressure curve from the starting point to the end point as the pressure drop segment of the hydraulic support.

[0012] S4. Divide the pressure cycle period of the hydraulic support according to the relationship between the start and end times of the hydraulic support lowering the column and the start and end times of the descent segment, and calculate the support pressure of each pressure cycle period.

[0013] S5. Establish the belonging relationship between the pressure cycle period and the complete cut according to the start and end times of each complete cut and the start and end times of each pressure cycle period.

[0014] S6. According to the relationship between the start and end times of the hydraulic support lowering the column, moving the support, raising the column, and pushing the conveyor and the start and end times of the pressure cycle period, statistically analyze the behavior parameters of the hydraulic support within each pressure cycle period.

[0015] S7. Based on the belonging relationship between the pressure cycle period and the complete cut, and the behavior parameters of the hydraulic support within the pressure cycle period, realize the stroke statistics of the complete cut.

[0016] Through the automatic analysis of the pressure data of the hydraulic support, the support action code data, and the front conveyor displacement stroke data of the support, the present invention establishes the belonging relationship between the support action cycle and the coal cutting tool, forms result data contents such as the execution time of the action, the moving support and pushing conveyor strokes, etc., so as to achieve the purpose of automatically dividing the action behavior of the hydraulic support.

[0017] Further, in step S1, the same action codes that appear intermittently in a short period of time are merged and processed; after obtaining the start and end times of the hydraulic support lowering the column, moving the support, raising the column, and pushing the conveyor actions, calculate the duration of each action, and form an information table of each action period of the hydraulic support.

[0018] Further, in step S2, the monotonic segments include the monotonic rising segment and the monotonic falling segment of the front conveyor displacement curve; the specific methods for extracting the monotonic rising segment and the monotonic falling segment include:

[0019] S2.1. Calculate the difference between the adjacent time front conveyor displacement stroke values, compare with the set difference threshold, and determine the rising points, falling points, and flat points on the front conveyor displacement stroke.

[0020] S2.2. Merge the continuous rising points into a monotonic rising segment, merge the continuous falling points into a monotonic falling segment, and merge the continuous flat points into a flat segment.

[0021] S2.3. Combine the monotonic rising segments before and after the straight segment with the straight segment into a monotonic rising segment, and combine the monotonic falling segments before and after the straight segment with the straight segment into a monotonic falling segment;

[0022] S2.4. Calculate the travel of each monotonic rising segment or monotonic falling segment.

[0023] Further, in step S3, the specific method for determining the falling segment includes:

[0024] S3.1. Combine the minimum value points within 20S;

[0025] S3.2. The maximum value of the falling segment is greater than 5 MPa, and the minimum value is less than 5 Mpa;

[0026] S3.3. The slope of the falling segment is less than -3 MPa / min;

[0027] S3.4. The duration of the falling segment is less than 120S.

[0028] Further, in step S4, the specific method for determining the start and end times of the pressure cycle of the hydraulic support includes:

[0029] S4.1. Compare the start and end times of the lowering action of the hydraulic support with the start and end times of the falling segment;

[0030] S4.2. If the difference between the start and end times of the two is within 60S, and the start time of the lowering action of the hydraulic support is earlier than the start time of the falling segment, then take the start time of the falling segment as the starting point of a pressure cycle of the hydraulic support;

[0031] S4.3. If the difference between the start and end times of the two is more than 60S, find the first minimum value point after the start time of the lowering action of the hydraulic support, and judge the pressure difference between the lowering action of the hydraulic support and the first minimum value point;

[0032] S4.4. If the pressure difference between the two is greater than 2 Mpa, and the minimum pressure between the start time of the lowering action of the hydraulic support and the first minimum value point is less than 5 Mpa, and there is a rising action of the hydraulic support between the lowering action of the hydraulic support and the next lowering action of the hydraulic support, then take the start time of the lowering action of the hydraulic support as the starting point of a pressure cycle of the hydraulic support.

[0033] Further, in step S4, the support pressure refers to the median of the hydraulic support pressure data between the starting points of the pressure cycles of adjacent two hydraulic supports.

[0034] Further, step S5 specifically includes:

[0035] S5.1. Count the number of pressure cycles of the hydraulic support included within the start and end times of the current complete cut;

[0036] S5.2, if the number of pressure cycle periods of the hydraulic support is equal to 1, attribute the pressure cycle period of the hydraulic support to the current complete cutting pass; if the number of pressure cycle periods of the hydraulic support is greater than 1, determine in chronological order whether there is a start and end time of the pressure cycle period of the hydraulic support in the first half of the start and end time of the current complete cutting pass;

[0037] S5.3, if so, check whether the previous complete cutting pass of the current complete cutting pass contains the pressure cycle period of the hydraulic support;

[0038] S5.4, if it contains, attribute the pressure cycle period of the hydraulic support to the current complete cutting pass; otherwise, attribute the pressure cycle period of the hydraulic support determined in step S5.2 to the previous complete cutting pass.

[0039] Furthermore, the behavior parameters of the hydraulic support in step S6 include the number of times of lowering the support, moving the support, raising the support, pushing the scraper conveyor, the execution time, the execution duration, the first execution time, the start and end times of execution, and the displacement of moving the support and pushing the scraper conveyor.

[0040] Furthermore, the specific content of statistically analyzing the stroke information of the complete cutting pass in step S7 includes:

[0041] S7.1, if a certain hydraulic support's moving the support and pushing the scraper conveyor displacement is missing in the current complete cutting pass and the next complete cutting pass includes more than 1 set of the hydraulic support's moving the support and pushing the scraper conveyor displacements, then attribute the first hydraulic support's moving the support and pushing the scraper conveyor displacement in the next complete cutting pass to the current complete cutting pass in chronological order;

[0042] S7.2, take the number of times N of moving the support and pushing the scraper conveyor of the majority of hydraulic supports in the current complete cutting pass as the number of times N of moving the support and pushing the scraper conveyor of the current complete cutting pass; if the number of times of moving the support and pushing the scraper conveyor displacement of a certain hydraulic support in the current complete cutting pass is greater than N, only retain the first N moving the support and pushing the scraper conveyor displacements;

[0043] S7.3, conduct a distribution statistics on the N times of moving the support and pushing the scraper conveyor displacements of all hydraulic supports in the current complete cutting pass, select the moving the support and pushing the scraper conveyor displacements within the range of the arithmetic mean ± fixed value of the N times of moving the support and pushing the scraper conveyor displacements of all hydraulic supports in the current complete cutting pass for linear fitting to obtain a smooth moving the support and pushing the scraper conveyor displacement distribution;

[0044] S7.4, according to the smooth moving the support and pushing the scraper conveyor displacement distribution, statistically analyze the cumulative moving the support displacement and the cumulative pushing the scraper conveyor displacement of each hydraulic support in each complete cutting pass.

[0045] The advantages of the present invention are as follows: By establishing a data analysis algorithm for automatically dividing the action behaviors of hydraulic supports, it is possible to automatically analyze the pressure data of hydraulic supports, the support action code data, and the front conveyor displacement stroke data of the supports, realizing the establishment of the attribution relationship between the support action cycle and the coal cutting knives, and forming result data contents such as the execution time of the actions, the moving support and pushing conveyor strokes, etc., so as to achieve the purpose of automatically dividing the action behaviors of hydraulic supports. On the one hand, it can quantitatively display and compare the coal mining processes, facilitating operation and management personnel to have a more in-depth and comprehensive understanding of the equipment processes, and thus being conducive to improving the process management level of fully mechanized mining equipment; on the other hand, the digital characterization of the process and the quantitative extraction of key technical indicators of the process provide a good data basis for the analysis services of complete sets of equipment, provide a good data basis for the intelligentization of coal mine fully mechanized mining, and provide a basis for further improving the fully mechanized mining automation and intelligentization levels. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is a flowchart of the method of the present invention.

[0047] Figure 2 is an example diagram of the front conveyor displacement curve in the method of the present invention.

[0048] Figure 3 is an example diagram of the segmentation result of the monotonic section in the method of the present invention.

[0049] Figure 4 is an example diagram of the pressure curve in the method of the present invention.

[0050] Figure 5 is an example diagram of the segmentation result of the pressure cycle period in the method of the present invention.

[0051] Figure 6 is an example diagram of the extraction result of the stable support pressure in the method of the present invention.

[0052] Figure 7 is an example diagram of the analysis result of the attribution of the complete knife in the method of the present invention.

[0053] Figure 8 is an example of the extraction result of the moving support and pushing conveyor action time and displacement in the pressure cycle period of the hydraulic support in the method of the present invention.

[0054] Figure 9 is an example diagram of the pushing conveyor displacement distribution result of the hydraulic support in the method of the present invention.

[0055] Figure 10 is an example diagram of the smoothed pushing conveyor displacement distribution of the hydraulic support in the method of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0056] The following is a clear and complete description of the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts are within the scope of protection of the present invention.

[0057] In a coal mining face, the shearer follows the shearing cutter in a predetermined, back-and-forth motion across the entire face. Hydraulic supports then perform actions such as lowering, moving, raising, and pushing, ensuring safety. Currently, fully mechanized mining equipment can monitor the hydraulic support's lowering, moving, raising, and pushing movements, including their start and end times, the displacement-time data for moving and pushing movements, and the hydraulic support's pressure-time data. However, there is a lack of analytical methods for this data. Furthermore, data loss and interference can hinder on-site operators' ability to assess operational performance.

[0058] The hydraulic support behavior classification method of the present invention is as follows: Figure 1 As shown, the following steps are included:

[0059] S1, according to the coding rules of the hydraulic support action code in the hydraulic support, separate the hydraulic support action code from the spliced string of the hydraulic support action code, obtain the start and end time period of the hydraulic support action according to the appearance time and disappearance time of the hydraulic support action code, and merge the same hydraulic support action that appears intermittently in a short period of time, extract the start and end time of each hydraulic support action, calculate the duration of each hydraulic support action, and finally obtain the hydraulic support action time period information table. The hydraulic support actions include lowering the column, moving the frame, raising the column, pushing and sliding

[0060] S2, when the hydraulic support performs the shifting action, the forward sliding displacement stroke data decreases, and when the hydraulic support performs the pushing action, the forward sliding displacement stroke data increases, and so on. Therefore, the shifting and pushing actions in the hydraulic support action cycle correspond to the monotonically decreasing and monotonically increasing segments in the forward sliding displacement stroke data, respectively, and the shifting and pushing distances correspond to the cumulative change values of the corresponding monotonically increasing segments in the forward sliding displacement stroke data. The present invention draws a forward sliding displacement curve based on the forward sliding displacement-time data of the hydraulic support, such as Figure 2 As shown in Figure 1, extract the monotonic segment of the forward displacement curve; specifically, it includes:

[0061] S2.1 calculates the difference vdif of the displacement values before and after adjacent times. Considering the possible data noise interference, a difference threshold thre is set. According to the relationship between vdif and thre, the data points are classified into three categories: if vdif ≥ thre, it is an ascending point; if vdif ≤ -thre, it is a descending point; if -thre <vidf<thre,则为平直点。

[0062] S2.2 Combine consecutive rising points into a monotonically rising segment, consecutive falling points into a monotonically falling segment, and consecutive flat points into a flat segment.

[0063] S2.3 If the flat segment is preceded and followed by monotonic segments in the same direction (i.e., both the segments before and after the flat segment are monotonically rising segments or both are monotonically falling segments), then combine the monotonic segments in the same direction before and after the flat segment with the flat segment into the same monotonic segment.

[0064] S2.4 Calculate the cumulative displacement travel within each monotonic segment (monotonically rising segment and monotonically falling segment).

[0065] After the above processing, an example diagram of the monotonic segments segmented from the forward slip displacement-time data is shown as Figure 3 shown, where serial number 1 is the monotonic segment and serial number 2 is the flat segment.

[0066] S3. When the hydraulic support performs the pillar lowering action, the pressure of the hydraulic support decreases, and when the pillar is raised, the pressure of the hydraulic support increases and then stabilizes. Usually, the process of the hydraulic support from one-time pillar lowering to pressure stabilization after pillar raising is defined as one complete pressure cycle period. The present invention draws a pressure curve based on the hydraulic support pressure-time data and conducts the division of the pressure cycle period.

[0067] First, draw a pressure curve based on the hydraulic support pressure-time data, as shown in Figure 4 shown, and find the minimum value points in the pressure curve.

[0068] Secondly, with the minimum value point as the end point, search forward for a starting point that meets the requirements, and determine the pressure curve from the starting point to the end point as the pressure drop segment of the hydraulic support; the discrimination basis for the starting point is:

[0069] (1) Combine the minimum value points within 20S.

[0070] (2) The maximum pressure value in the proposed pressure drop segment is greater than 5MPa, and the minimum pressure value is less than 5Mpa.

[0071] (3) The slope of the proposed pressure drop segment is less than -3MP a / min; the slope takes the minimum slope value (negative) of the pressure drop segment with the minimum value as the end point.

[0072] (4) The duration of the proposed pressure drop segment is less than 120S.

[0073] S4. After determining the pressure drop segment in step S3, the start and end times of the pressure drop segment can be obtained, and then combined with the start and end times of the pillar lowering of the hydraulic support in step S1, the starting point of the hydraulic support pressure cycle period is determined, specifically including:

[0074] S4.1, Associate the start and end times of the lowering action of the hydraulic support with the start and end times of the descending section, and compare the start and end times of the two.

[0075] S4.2, If the difference between the start and end times of the two is within 60S, consider them relevant. If the start time of the lowering action of the hydraulic support is earlier than the start time of the descending section, then take the start time of the lowering action of the hydraulic support as the starting point of a pressure cycle of the hydraulic support.

[0076] S4.3, If the difference between the start and end times of the two is more than 60S, consider them irrelevant. Then find the first pressure minimum point after the start time of the lowering action of the hydraulic support, and judge the pressure difference between the pressure value at the start time of the lowering action of the hydraulic support and the pressure value at the first minimum point.

[0077] S4.4, If the pressure difference between the two is greater than 2 Mpa, and the minimum pressure between the start time of the lowering action of the hydraulic support and the first minimum point is less than 5Mpa, and there is a rising action of the hydraulic support between the lowering action of the hydraulic support and the next lowering action of the hydraulic support, then take the start time of the lowering action of the hydraulic support as the starting point of a pressure cycle of the hydraulic support.

[0078] After the above processing, the pressure cycle obtained by slicing from the support pressure curve data, as Figure 5 shown, where the section from 2600:25 to 2600:40 is one pressure cycle.

[0079] Furthermore, extract the stable support pressure for each pressure cycle for the calculation of the support pressure distribution. First, according to the starting points of two adjacent pressure cycles, extract the pressure curve data of this section of the pressure cycle; take the median of the pressure data of this section as the stable support pressure of this pressure cycle, as Figure 6 shown, where serial number 3 is the stable support pressure.

[0080] S5, When the start and end times of the pressure cycle of the hydraulic support are within the start and end times of a certain complete cut, initially ascribe this pressure cycle of the hydraulic support to this complete cut, and establish the belonging relationship between the pressure cycle and the complete cut according to the start and end times of each complete cut and the start and end times of each pressure cycle; provide a data basis for the calculation of the support pressure distribution of the complete cut. Specifically, it includes the following steps:

[0081] S5.1, Count the number of pressure cycles of the hydraulic support included within the start and end times of the current complete cut.

[0082] S5.2, if the number of pressure cycle periods of the hydraulic support is equal to 1, then it is determined that the pressure cycle period of the hydraulic support belongs to the current complete cutting; if the number of pressure cycle periods of the hydraulic support is greater than 1, it is judged in chronological order whether there is a start and end time of the pressure cycle period of the hydraulic support in the first half of the start and end time of the current complete cutting;

[0083] S5.3, if there is, then check whether the previous complete cutting of the current complete cutting contains the pressure cycle period of the hydraulic support;

[0084] S5.4, if it contains, then attribute the pressure cycle period of the hydraulic support to the current complete cutting; otherwise, attribute the pressure cycle period of the hydraulic support determined in step S5.2 to the previous complete cutting.

[0085] The analysis result of the complete cutting attribution is as Figure 7 shown, where the horizontal axis 4 is time, the vertical axis 5 is the support number, the dotted line 6 in the figure is the pressure cycle, the curve 7 is the position of the shearer, and the vertical color block 8 is the analysis result of the complete cutting. After the analysis of the complete cutting attribution, an information association relationship including the hydraulic support number, the pressure cycle number, the belonging complete cutting, the start and end time of the pressure cycle, the stable support pressure, etc. is formed for each pressure cycle period of the hydraulic support.

[0086] S6, according to the relationship between the start and end time of the lowering, moving, raising, and pushing of the hydraulic support and the start and end time of the pressure cycle period, statistically analyze the behavior parameters of the hydraulic support in each pressure cycle period; attribute the lowering, moving, raising, and pushing actions whose start and end time are within the start and end time of the pressure cycle period of the hydraulic support to the pressure cycle period of the hydraulic support, and extract the behavior parameters of the hydraulic support according to the start and end time of the lowering, moving, raising, and pushing actions, including the execution times, execution moments, execution times, the first execution time, the start and end moments of execution, the displacements of moving and pushing, etc. of the lowering, moving, raising, and pushing.

[0087] The extraction logic of the displacements of moving and pushing is that according to the start and end time of the pressure cycle of the hydraulic support, the data in the corresponding time range is intercepted from the front conveyor displacement data, and then combined with the extraction result of the monotonic segment, starting from the first monotonic descent segment (corresponding to moving) in the intercepted data, the cumulative displacement strokes of the monotonic descent segment and the monotonic ascent segment are extracted in pairs as a set of displacements of the moving and pushing actions. As Figure 8 shown, it is an example of the extraction result of the time and displacement of the moving and pushing actions in the pressure cycle period of the hydraulic support.

[0088] S7, based on the belonging relationship between the pressure cycle period and the complete cutting, and the behavior parameters of the hydraulic support in the pressure cycle period, realize the stroke statistics of the complete cutting.

[0089] Due to reasons such as data loss, interference, and algorithm errors, there are partial deviations in the segmentation of the pressure cycle of hydraulic supports and the belonging relationship between the pressure cycle of hydraulic supports and a complete shear. This is manifested as the lack of pushing distance of some hydraulic supports, or the statistical pushing times of some hydraulic supports being higher than the actual pushing times within this complete shear. Therefore, the specific steps for realizing the travel statistics of a complete shear are as follows:

[0090] S7.1. Since deviations in the belonging relationship between the pressure cycle of hydraulic supports and a complete shear are prone to occur in the triangular shear area, if a certain hydraulic support's support moving and pushing displacements are missing in the current complete shear, and the next complete shear includes more than 1 group of hydraulic support moving and pushing displacements, then the first hydraulic support moving and pushing displacement in the next complete shear is attributed to the current complete shear in chronological order; the distribution result of the pushing displacements of hydraulic supports after this processing is as Figure 9 shown.

[0091] S7.2. When the statistical pushing times of some hydraulic supports are higher than the actual pushing times within this complete shear, take the moving and pushing times N of the majority of hydraulic supports in the current complete shear as the moving and pushing times N of the current complete shear; if the moving and pushing displacement times of a certain hydraulic support in the current complete shear are greater than N, then only retain the first N moving and pushing displacements;

[0092] S7.3. Conduct a distribution statistics on the N moving and pushing displacements of all hydraulic supports in the current complete shear, and select the moving and pushing displacements within the range of the arithmetic mean ± fixed value of the N moving and pushing displacements of all hydraulic supports in the current complete shear for linear fitting, as Figure 10 shown, to obtain the smoothed moving and pushing displacement distribution shown in Item 9.

[0093] S7.4. According to the smoothed moving and pushing displacement distribution, statistically calculate the cumulative support moving displacements and cumulative pushing displacements of each hydraulic support in each complete shear.

Claims

1. A method for classifying the behaviors of a hydraulic support, characterized in that It includes the following steps: S1. Obtain the start and end times of the lowering, moving, raising, and pushing actions of the hydraulic support according to the appearance and disappearance times of the action codes of the hydraulic support. S2. Draw a front conveyor displacement curve based on the front conveyor displacement-time data of the hydraulic support, and extract the monotonic segments of the front conveyor displacement curve. S3. Draw a pressure curve according to the pressure-time data of the hydraulic support, find the minimum value points in the pressure curve, take the minimum value points as the end points, and search forward for the starting points that meet the requirements, and determine the pressure curve from the starting point to the end point as the pressure drop segment of the hydraulic support. S4. Divide the pressure cycle period of the hydraulic support according to the relationship between the start and end times of the lowering of the hydraulic support in step S1 and the start and end times of the drop segment, and calculate the support pressure of each pressure cycle period. S5. Establish the belonging relationship between the pressure cycle period and the complete cut according to the start and end times of each complete cut and the start and end times of each pressure cycle period. S6. According to the relationship between the start and end times of the lowering, moving, raising, and pushing of the hydraulic support and the start and end times of the pressure cycle period, statistically analyze the behavior parameters of the hydraulic support within each pressure cycle period. S7. Based on the belonging relationship between the pressure cycle period and the complete cut, and the behavior parameters of the hydraulic support within the pressure cycle period, realize the stroke statistics of the complete cut.

2. The method for classifying the behaviors of a hydraulic support according to claim 1, wherein: In step S1, the same action codes that appear intermittently in a short period of time are merged and processed; after obtaining the start and end times of the lowering, moving, raising, and pushing actions of the hydraulic support, calculate the duration of each action to form an information table of each action period of the hydraulic support.

3. The hydraulic support behavior classification method according to claim 1, wherein: In step S2, the monotonic segments include the monotonically increasing segment and the monotonically decreasing segment of the front conveyor displacement curve; the specific methods for extracting the monotonically increasing segment and the monotonically decreasing segment include: S2.

1. Calculate the difference between the front conveyor displacement values at adjacent times, compare it with the set difference threshold, and determine the rising points, falling points, and flat points on the front conveyor displacement. S2.

2. Merge the continuous rising points into a monotonically increasing segment, merge the continuous falling points into a monotonically decreasing segment, and merge the continuous flat points into a flat segment. S2.

3. Merge the monotonically increasing segment before and after the flat segment with the flat segment into a monotonically increasing segment, and merge the monotonically decreasing segment before and after the flat segment with the flat segment into a monotonically decreasing segment. S2.

4. Calculate the stroke of each monotonically increasing segment or monotonically decreasing segment.

4. The hydraulic support behavior classification method according to claim 1, characterized in that: In step S3, the specific method for determining the drop segment includes: (1) Merge the minimum value points within 20S. (2) The maximum pressure in the proposed drop segment is greater than 5MPa, and the minimum pressure is less than 5Mpa. (3) The slope of the proposed drop segment is less than -3MPa / min. (4) The duration of the proposed drop segment is less than 120S.

5. The hydraulic support behavior classification method according to claim 1, wherein: In step S4, the specific method for determining the start and end times of the pressure cycle period of the hydraulic support includes: S4.

1. Compare the start and end times of the lowering action of the hydraulic support with the start and end times of the drop segment. S4.

2. If the difference between the two start and end times is within 60S, and the start time of the lowering action of the hydraulic support is earlier than the start time of the drop segment, then take the start time of the lowering action of the hydraulic support as the starting point of a pressure cycle period of the hydraulic support. S4.

3. If the time difference between the start and end times of the two is more than 60S, find the first minimum point after the start time of the lowering action of the hydraulic support, and judge the pressure difference between the lowering action of the hydraulic support and the first minimum point. S4.

4. If the pressure difference between the two is greater than 2 Mpa, and the minimum pressure between the start time of the lowering action of the hydraulic support and the first minimum point is less than 5 Mpa, and there is a raising action of the hydraulic support between the lowering action of the hydraulic support and the next lowering action of the hydraulic support, then take the start time of the lowering action of the hydraulic support as the starting point of a pressure cycle of the hydraulic support.

6. The hydraulic support behavior classification method according to claim 1, characterized in that: In step S4, the support pressure refers to the median of the hydraulic support pressure data between the starting points of the pressure cycles of adjacent two hydraulic supports.

7. The hydraulic support behavior classification method according to claim 1, wherein: Step S5 specifically includes: S5.

1. Count the number of pressure cycles of the hydraulic support included within the start and end times of the current complete cutting pass. S5.

2. If the number of pressure cycles of the hydraulic support is equal to 1, attribute the pressure cycle of the hydraulic support to the current complete cutting pass; if the number of pressure cycles of the hydraulic support is greater than 1, judge in chronological order whether there is a start and end time of the pressure cycle of the hydraulic support in the first half of the start and end times of the current complete cutting pass. S5.

3. If so, check whether the previous complete cutting pass of the current complete cutting pass includes a pressure cycle of the hydraulic support. S5.

4. If it includes, attribute the pressure cycle of the hydraulic support to the current complete cutting pass; otherwise, attribute the pressure cycle of the hydraulic support determined in step S5.2 to the previous complete cutting pass.

8. The hydraulic support behavior classification method according to claim 1, characterized in that: The behavior parameters of the hydraulic support in step S6 include the execution times, execution moments, execution times, first execution times, start and end moments of execution, and the displacements of moving the support and pushing the conveyor of lowering the support, moving the support, raising the support, and pushing the conveyor.

9. The hydraulic support behavior classification method according to claim 1, characterized in that: The specific content of counting the stroke information of the complete cutting pass in step S7 includes: S7.

1. If the current complete cutting pass lacks the displacements of moving the support and pushing the conveyor of a certain hydraulic support, and the next complete cutting pass includes more than 1 set of the displacements of moving the support and pushing the conveyor of the hydraulic support, then attribute the first set of the displacements of moving the support and pushing the conveyor of the hydraulic support in the next complete cutting pass to the current complete cutting pass in chronological order. S7.

2. Take the number N of the displacements of moving the support and pushing the conveyor of the majority of hydraulic supports in the current complete cutting pass as the number N of the displacements of moving the support and pushing the conveyor of the current complete cutting pass; if the number of the displacements of moving the support and pushing the conveyor of a certain hydraulic support in the current complete cutting pass is greater than N, only retain the first N displacements of moving the support and pushing the conveyor. S7.

3. Conduct a distribution statistics on the N displacements of moving the support and pushing the conveyor of all hydraulic supports in the current complete cutting pass, and select the displacements of moving the support and pushing the conveyor within the range of the arithmetic mean ± fixed value of the N displacements of moving the support and pushing the conveyor of all hydraulic supports in the current complete cutting pass for linear fitting to obtain a smooth displacement distribution of moving the support and pushing the conveyor. S7.

4. According to the smooth displacement distribution of moving the support and pushing the conveyor, count the cumulative displacement of moving the support and the cumulative displacement of pushing the conveyor of each hydraulic support in each complete cutting pass.

Citation Information

Patent Citations

  • Control system and method of pushed and slipped motion order of scraper conveyer

    CN104891133A

  • Coal mine fully mechanized coal mining face unsafe behavior identification method based on visual relation detection

    CN110119701A