CN113914928A - Support area dividing and accurate support method for fully mechanized coal mining face of coal mine - Google Patents
Support area dividing and accurate support method for fully mechanized coal mining face of coal mine Download PDFInfo
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Abstract
The invention discloses a method for dividing and accurately supporting a support supporting area of a fully mechanized coal mining face, and relates to the technical field of automatic monitoring of coal mine faces. The dividing method comprises the following steps: performing cluster analysis by taking upright column pressure data and a support number of the hydraulic support obtained by real-time monitoring as input parameters of a cluster analysis algorithm to obtain a cluster result; the clustering result comprises clustering categories and clustering centers of the categories; each cluster type is respectively used as a support area of the working face support, and the initial support area types with the same number as the cluster types are obtained; and according to the obtained type of the initial supporting area, performing final area confirmation on the dispute support, updating the type of the initial supporting area, and obtaining the type of the final supporting area. The problem that the support supporting effect is poor due to the fact that no area division or unreasonable area division exists on the fully mechanized mining face at present can be solved, and therefore the practicability of differential and accurate support of the supports of the fully mechanized mining face is improved.
Description
Technical Field
The invention belongs to the technical field of automatic monitoring and data mining analysis of coal mine working faces, and particularly relates to a support area dividing and accurate support method of a coal mine fully mechanized coal mining working face.
Background
The stable support of the surrounding rock of the fully mechanized mining face is the primary condition for safety production in the underground coal mine, and the hydraulic support is a main support system for completing the task.
The roof of the common fully-mechanized mining working face collapses in the goaf in the normal mining process, a single-peak value and periodic mine pressure display rule exists, the number of hydraulic supports of the ultra-long working face with the length of more than 350m is greatly increased, and dynamic characteristics such as wall rock partition breakage, pressure migration and impact are more obvious. Therefore, the hydraulic support group of the fully mechanized mining face is not supported with equal strength under the influence of the surrounding rock breaking characteristics, and the support states of the hydraulic supports are different. Under general conditions, the bracket at the middle peak pressure position of the fully mechanized mining face has high dynamic load impact probability, is in a resistance increasing stage and has high proportion of opening of a safety valve, and the sinking amount of a top plate is large; the supports at the two ends of the fully mechanized mining face are basically in the initial supporting force stage and bear the unbalance loading force, and the sinking amount of the top plate is small. All the support parameters of the fully mechanized mining face are the same, so that the support is stressed unevenly, and the supporting effect of the working face is difficult to achieve the best.
Aiming at the problem of poor support supporting effect caused by no area division or unreasonable area division of the current fully-mechanized coal mining face, the method is one of the problems to be solved urgently in coal mine safety production.
Disclosure of Invention
In view of the above, the invention aims to provide a method for dividing a support supporting area of a fully mechanized mining face of a coal mine and accurately supporting the support supporting area, which can solve the problem of poor support supporting effect caused by no area division or unreasonable area division of the fully mechanized mining face at present, so as to improve the feasibility of differentiated and accurate support of the fully mechanized mining face.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for dividing a support supporting area of a fully mechanized coal mining face comprises the following steps:
step S10, monitoring the upright post pressure data of the hydraulic support of the fully mechanized mining face in real time;
step S20, collecting column pressure historical data of a plurality of groups of hydraulic supports, and performing corresponding processing of timestamps and support numbers to obtain a plurality of groups of column pressure data of a plurality of supports in the same time period;
s30, selecting the upright post pressure data and the support number of the hydraulic support in the step S20 as input parameters of a clustering analysis algorithm, and performing clustering analysis to obtain a clustering result; the clustering result comprises clustering categories and clustering centers of the categories;
step S40, taking each cluster type of the cluster result obtained in the step S30 as a support area of a working face support, and obtaining the initial support area types with the same number as the cluster types; a bracket disputing an undetermined supporting area exists in the type of the initial supporting area;
step S50: and according to the type of the initial support area obtained in the step S40, performing final area confirmation on the bracket of the to-be-determined support area, and updating the type of the initial support area to obtain the type of the final support area.
Optionally, after step S50, the method further comprises: step S60: calculating the space distance from the new upright post pressure data of each bracket collected in real time to the center of each category according to the clustering centers of each category obtained in the step S30;
and determining the support area to which the support belongs in real time according to the space distance from the new column pressure data of each support to the center of each category obtained through calculation, and dynamically updating the support area division result to which the support belongs.
Optionally, the hydraulic mount comprises a two-column and/or four-column hydraulic mount;
when the hydraulic support is a two-column hydraulic support, the upright column pressure data of the hydraulic support needs to be monitored in real time in the steps S10 and S60 as left upright column or right upright column pressure data;
the multiple groups of upright post pressure data in the same time period of the multiple supports in the step S20 are a two-dimensional vector, and include left upright post or right upright post pressure data and corresponding support numbers;
when the hydraulic support is a four-column hydraulic support, the upright column pressure data of the hydraulic support which needs to be monitored in real time in the steps S10 and S60 are left front upright column, right rear upright column or right front upright column and left rear upright column data;
the multiple sets of upright post pressure data in the same time period of the multiple supports in the step S20 are a three-dimensional vector, and include left front upright post, right rear upright post or right front upright post, left rear upright post data and corresponding support number
When the hydraulic support comprises a two-column hydraulic support and a four-column hydraulic support, monitoring correspondingly according to data needing real-time monitoring in the step S10 and the step S60 in the two-column hydraulic support and the four-column hydraulic support respectively;
the multiple sets of column pressure data in the same time period of the multiple stents in step S20 include the two-dimensional vector and the three-dimensional vector described above.
Optionally, when the hydraulic support is a two-column hydraulic support, the cluster analysis algorithm in step S30 is a two-dimensional data clustering method;
when the hydraulic support is a four-column hydraulic support, the cluster analysis algorithm in step S30 is a three-dimensional data clustering method.
Optionally, in step S50, performing final area confirmation on the bracket of the to-be-supported area of the dispute, and updating the type of the initial support area to obtain a final support area type, where the final support area type includes: and determining a final supporting area to which the bracket belongs according to the data volume of a certain supporting area in which the bracket of the to-be-supported area is located.
Optionally, the determining, according to the data volume of a certain supporting area where the bracket of the to-be-supported area is located, the final supporting area to which the bracket belongs includes: calculating the data proportion of the bracket of the dispute undetermined supporting area in different supporting areas;
and comparing the obtained data occupation ratios, and determining the support area corresponding to the maximum data occupation ratio as the final support area of the support.
Optionally, in step S60, the calculating the spatial distance from the new column pressure data of each stent collected in real time to the center of each category includes: calculating the Euclidean distance from the new stand column pressure data coordinate of each support to each clustering center coordinate;
the step of determining the support area to which the support belongs in real time according to the space distance from the new column pressure data of each support to the center of each category obtained through calculation comprises the following steps: and comparing the calculated Euclidean distances with each other, and determining the cluster type corresponding to the minimum Euclidean distance as a support region to which the new stand column pressure data of the support belongs, namely a new support region of the support.
Optionally, the pillar pressure data of the stent is pillar pressure data of the stent in a period of time collected between two cycles of pressure application.
In a second aspect, a further embodiment of the present invention provides a method for accurately supporting a support of a fully mechanized coal mining face, including: s100, monitoring upright post pressure data of a hydraulic support of a fully mechanized mining face in real time;
s200, collecting column pressure historical data of a plurality of groups of hydraulic supports, and performing corresponding processing on timestamps and support numbers to obtain a plurality of groups of column pressure data of the plurality of supports in the same time period;
s300, selecting the upright post pressure data and the support number of the hydraulic support in the step S200 as input parameters of a clustering analysis algorithm, and performing clustering analysis to obtain a clustering result; the clustering result comprises clustering categories and clustering centers of the categories;
step S400, taking each cluster type of the cluster result obtained in the step S300 as a support area of the working face support, and obtaining the initial support area types with the same number as the cluster types; a bracket disputing an undetermined supporting area exists in the type of the initial supporting area;
step S500: according to the type of the initial supporting area obtained in the step S400, performing final area confirmation on the bracket of the to-be-supported area of the dispute, and updating the type of the initial supporting area to obtain the type of the final supporting area;
step S600: and carrying out differentiated support adjustment according to the obtained final support region types, and respectively adopting different support strategies, thereby realizing accurate support of the support in each region of the working face.
The method for dividing and accurately supporting the support area of the fully mechanized coal mining face of the coal mine provided by the embodiment of the invention can greatly improve the problem that the hydraulic support of the fully mechanized coal mining face has poor supporting effect in partial areas due to uniform supporting parameters by acquiring and utilizing the actual load intensity historical change condition and the support position data born by the support, namely the hydraulic support column pressure historical data and the corresponding support number, and determining the final supporting area of the fully mechanized coal mining face support based on data clustering analysis in the process of mining the fully mechanized coal mining face, particularly the ultra-long face, and dividing the supporting area of the fully mechanized coal mining face support into different types of supporting areas, thereby facilitating the implementation of more targeted and refined supporting for the face based on the divided supporting areas, improving the feasibility of differential accurate supporting of the fully mechanized coal mining face support, thereby improving the overall supporting effect of the fully mechanized coal mining face support.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1A is a schematic flow chart of an embodiment of a method for dividing a support area of a fully mechanized coal mining face of a coal mine;
FIG. 1B is a schematic flow chart of another embodiment of the method for dividing the support area of the fully mechanized coal mining face support of the invention;
FIG. 2 is a schematic diagram of a three-dimensional clustering result according to an embodiment of the present invention;
FIG. 3 is an X-Z view of a schematic diagram of a three-dimensional clustering result according to an embodiment of the present invention;
FIG. 4 is a Y-Z view of a schematic diagram of a three-dimensional clustering result in an embodiment of the present invention
Fig. 5 is a schematic flow chart of an embodiment of the accurate support method for the coal mine fully mechanized coal mining face support.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
FIG. 1A is a schematic flow chart of an embodiment of a method for dividing a support area of a fully mechanized coal mining face of a coal mine; referring to fig. 1A, an overall technical concept flow of the method for dividing the support area of the fully mechanized coal mining face support provided by the embodiment of the invention is as follows:
step S10, monitoring the upright post pressure data of the hydraulic support of the fully mechanized mining face in real time;
step S20, collecting column pressure historical data of a plurality of groups of hydraulic supports, and performing corresponding processing of timestamps and support numbers to obtain a plurality of groups of column pressure data of a plurality of supports in the same time period;
s30, selecting the upright post pressure data and the support number of the hydraulic support in the step S20 as input parameters of a clustering analysis algorithm, and performing clustering analysis to obtain a clustering result; the clustering result comprises clustering categories and clustering centers of the categories;
step S40, taking each cluster type of the cluster result obtained in the step S30 as a support area of a working face support, and obtaining the initial support area types with the same number as the cluster types; a bracket disputing an undetermined supporting area exists in the type of the initial supporting area;
step S50: and according to the type of the initial support area obtained in the step S40, performing final area confirmation on the bracket of the to-be-determined support area, and updating the type of the initial support area to obtain the type of the final support area.
The method for dividing and accurately supporting the support area of the fully mechanized coal mining face of the coal mine provided by the embodiment of the invention can greatly improve the problem that the hydraulic support of the fully mechanized coal mining face has poor supporting effect in partial areas due to uniform supporting parameters by acquiring and utilizing the actual load intensity historical change condition and the support position data born by the support, namely the hydraulic support column pressure historical data and the corresponding support number, and determining the final supporting area of the fully mechanized coal mining face support based on data clustering analysis in the process of mining the fully mechanized coal mining face, particularly the ultra-long face, and dividing the supporting area of the fully mechanized coal mining face support into different types of supporting areas, thereby facilitating the implementation of more targeted and refined supporting for the face based on the divided supporting areas, improving the feasibility of differential accurate supporting of the fully mechanized coal mining face support, thereby improving the overall supporting effect of the fully mechanized coal mining face support.
Referring to fig. 1B, in some embodiments, after step S50, the method further comprises: step S60: calculating the space distance from the new upright post pressure data of each bracket collected in real time to the center of each category according to the clustering centers of each category obtained in the step S30; and determining the support area to which the support belongs in real time according to the calculated spatial distance from the new column pressure data of each support to the center of each category, and dynamically updating the support area division result to which the support belongs.
With continued reference to FIG. 1B, the method further comprises: and S70, repeating the step S60, and dynamically updating the support area of the bracket under the condition of load intensity change in real time until the next period of pressure.
In the embodiment, the support area of the support under the condition of load intensity change is dynamically updated in real time in the period of pressing twice, and accurate support is divided and implemented according to the dynamically updated support area, so that the overall support effect of the fully mechanized mining face before the next period of pressing can be effectively improved.
It can be understood that the hydraulic support frame types of the fully mechanized mining face at present can be specifically divided into 2 types of two-column type and four-column type according to the number of the upright columns; thus, as an alternative embodiment, the hydraulic mount comprises a two-and/or four-column hydraulic mount.
When the hydraulic support is a two-column hydraulic support, the upright column pressure data of the hydraulic support needs to be monitored in real time in the steps S10 and S60 as left upright column or right upright column pressure data;
the multiple sets of upright post pressure data in the same time period of the multiple stents in step S20 are a two-dimensional vector, including left upright post or right upright post pressure data and corresponding stent number.
When the hydraulic support is a four-column hydraulic support, the upright column pressure data of the hydraulic support which needs to be monitored in real time in the steps S10 and S60 are left front upright column, right rear upright column or right front upright column and left rear upright column data;
the multiple sets of upright post pressure data in the same time period of the multiple supports in step S20 are a three-dimensional vector, including left front upright post, right rear upright post or right front upright post, left rear upright post data and corresponding support number.
When the hydraulic support comprises a two-column hydraulic support and a four-column hydraulic support, monitoring correspondingly according to data needing real-time monitoring in the step S10 and the step S60 in the two-column hydraulic support and the four-column hydraulic support respectively;
the multiple sets of column pressure data in the same time period of the multiple stents in step S20 include the two-dimensional vector and the three-dimensional vector described above.
The cluster analysis algorithm is different according to different types of hydraulic supports, and specifically, when the hydraulic support is a two-column hydraulic support, the cluster analysis algorithm in the step S30 is a two-dimensional data clustering method;
when the hydraulic support is a four-column hydraulic support, the cluster analysis algorithm in step S30 is a three-dimensional data clustering method.
The clustering analysis algorithm can be a K-means algorithm and the like.
After the type of the initial supporting area is determined according to the clustering result obtained in the step S30, some hydraulic supports may be in a certain supporting area in the early stage and become another supporting area in the later stage, and the hydraulic supports of this type are the supports in the pending supporting area in the dispute described above. For the bracket with disputed area division, the final supporting area can be determined according to the data volume of the area where the bracket is located, namely the data proportion condition of different areas of the bracket is calculated, and the bracket belongs to the supporting area when the data volume proportion of the area is larger, so that the final supporting area of the bracket of the whole working face is determined.
Therefore, as another optional embodiment, in step S50, performing final area confirmation on the bracket of the to-be-supported area in the dispute, and updating the type of the initial supporting area to obtain a final supporting area type includes: and determining a final supporting area to which the bracket belongs according to the data volume of a certain supporting area in which the bracket of the to-be-supported area is located.
The step of determining the final supporting area to which the bracket belongs according to the data volume of the supporting area in which the bracket of the to-be-supported area is located includes:
calculating the data proportion of the bracket of the dispute undetermined supporting area in different supporting areas;
and comparing the obtained data occupation ratios, and determining the support area corresponding to the maximum data occupation ratio as the final support area of the support.
It will be appreciated that, due to the dynamic changes in the surrounding rock conditions of the working face, it is necessary to re-determine the area for the new data acquired in real time for each support. Optionally, in step S60, the calculating the spatial distance from the new column pressure data of each stent collected in real time to the center of each category includes: calculating the Euclidean distance from the new stand column pressure data coordinate of each support to each clustering center coordinate; the step of determining the support area to which the support belongs in real time according to the space distance from the new column pressure data of each support to the center of each category obtained through calculation comprises the following steps: and comparing the calculated Euclidean distances with each other, and determining the cluster type corresponding to the minimum Euclidean distance as a support region to which the new stand column pressure data of the support belongs, namely a new support region of the support.
In this embodiment, the euclidean distance between the data coordinate and each cluster center coordinate is calculated, and the cluster type to which the corresponding support belongs is adjusted according to the distance from the center of each cluster type, so that the support area of the support is dynamically updated, and the accuracy of subsequent accurate support is improved.
In steps S10 to S50, the pillar pressure data of the stent is pillar pressure data of the stent in a period of time collected between two cycles of pressure; and the pressure data of the stand columns of the support in a longer period (at least comprising three pressure-bearing periods) can be randomly selected for clustering analysis to obtain the belonged clustering categories and clustering centers.
Example two
Referring to fig. 5, based on the same technical concept as the method for dividing the support area of the fully mechanized mining face of the coal mine provided by the foregoing embodiment, a further embodiment of the present invention provides a method for accurately supporting a support of a fully mechanized mining face of a coal mine, including:
s100, monitoring upright post pressure data of a hydraulic support of a fully mechanized mining face in real time;
s200, collecting column pressure historical data of a plurality of groups of hydraulic supports, and performing corresponding processing on timestamps and support numbers to obtain a plurality of groups of column pressure data of the plurality of supports in the same time period;
s300, selecting the upright post pressure data and the support number of the hydraulic support in the step S200 as input parameters of a clustering analysis algorithm, and performing clustering analysis to obtain a clustering result; the clustering result comprises clustering categories and clustering centers of the categories;
step S400, taking each cluster type of the cluster result obtained in the step S300 as a support area of the working face support, and obtaining the initial support area types with the same number as the cluster types; a bracket disputing an undetermined supporting area exists in the type of the initial supporting area;
step S500: according to the type of the initial supporting area obtained in the step S400, performing final area confirmation on the bracket of the to-be-supported area of the dispute, and updating the type of the initial supporting area to obtain the type of the final supporting area;
step S600: and carrying out differentiated support adjustment according to the obtained final support region types, and respectively adopting different support strategies, thereby realizing accurate support of the support in each region of the working face.
According to the accurate support method for the fully mechanized coal mining face support, the support area of the fully mechanized coal mining face is reasonably divided into different types of support areas, and more targeted and refined support is implemented based on the divided support areas.
To help understand the technical solutions and the technical effects of the first and second embodiments of the present invention, and to help understand the technical solutions and the technical effects of the embodiments of the present invention, according to the flows shown in fig. 1 and 5, the clustering division schemes for the clustering results, the clustering centers, the types of the initial support areas, and the final support areas described in steps S10 to S50(S100 to S500) are described as follows:
selecting front left and rear right upright posts of 19 four-post hydraulic supports in a fully mechanized mining working surface with 156 hydraulic supports, and monitoring the pressure of the front left and rear right upright posts, wherein the support numbers of the 19 hydraulic supports are respectively No. 6, No. 14, No. 22, No. 30, No. 38, No. 46, No. 54, No. 62, No. 70, No. 78, No. 86, No. 94, No. 102, No. 110, No. 118, No. 126, No. 134, No. 142 and No. 150 from bottom to top along a support number axis in the drawing, and are evenly distributed on the working surface;
respectively selecting the pressure data of the front left column and the rear right column of each bracket 500 groups, and corresponding to the bracket numbers to form a three-dimensional vector with the size of 9500 multiplied by 3;
inputting the three-dimensional vectors into a clustering algorithm, preferably, taking a K-means three-dimensional clustering algorithm as an example, determining that the initial clustering centers are 4 types, and obtaining clustering results as shown in fig. 2 to 4. A total of 4 classes are obtained, and four symbols of "Δ", "", and "+" are used to indicate the first, second, third, and fourth classes, i.e., the first, second, third, and fourth support areas, respectively. Thus, an initial first support zone, an initial second support zone, an initial third support zone and an initial fourth support zone are finally determined. The initial first support zone comprises No. 6-38 stents, the initial second support zone comprises No. 46-70 stents, the initial third support zone comprises No. 78-110 stents, and the initial fourth support zone comprises No. 118-150 stents.
It can be seen from an inspection of fig. 3 that bracket No. 38 is a dispute bracket, which is illustrated as corresponding to "Δ" and "star" areas or both at different column pressures, i.e. the bracket No. 38 is a bracket indicating that the dispute pending area is; the early stage of the method is an initial first support area, and the later stage of the method is changed into an initial second support area, so that the support area needs to be judged again, and obviously, the support area of the No. 38 support is finally the first support area.
In order to enable the support areas of the working face supports to be continuous, the hydraulic supports with the numbers (6, 14, 22, 30, 38, 46, 54, 62, 70, 78, 86, 94, 102, 110, 118, 126, 134, 142 and 150) are used as center supports, the first three and the last four hydraulic supports of the center supports are always considered to be the same area with the center supports, the first support area is finally determined to comprise supports from 1 to 42, the second support area comprises supports from 43 to 74, the third support area comprises supports from 75 to 114, and the fourth support area comprises supports from 115 to 156. Therefore, reasonable division of the support area of the fully-mechanized mining face is achieved, the problem that the support effect is poor due to the fact that the existing fully-mechanized mining face is not divided into areas or the areas are unreasonable in division is solved, the practicability of differential and accurate support of the supports of the fully-mechanized mining face is improved, the differential support requirements of different areas of the whole fully-mechanized mining face are met, and the overall support effect of the supports of the fully-mechanized mining face is improved.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. A method for dividing a support supporting area of a fully mechanized coal mining face comprises the following steps:
step S10, monitoring the upright post pressure data of the hydraulic support of the fully mechanized mining face in real time;
step S20, collecting column pressure historical data of a plurality of groups of hydraulic supports, and performing corresponding processing of timestamps and support numbers to obtain a plurality of groups of column pressure data of a plurality of supports in the same time period;
s30, selecting the upright post pressure data and the support number of the hydraulic support in the step S20 as input parameters of a clustering analysis algorithm, and performing clustering analysis to obtain a clustering result; the clustering result comprises clustering categories and clustering centers of the categories;
step S40, taking each cluster type of the cluster result obtained in the step S30 as a support area of a working face support, and obtaining the initial support area types with the same number as the cluster types; a bracket disputing an undetermined supporting area exists in the type of the initial supporting area;
step S50: and according to the type of the initial support area obtained in the step S40, performing final area confirmation on the bracket of the to-be-determined support area, and updating the type of the initial support area to obtain the type of the final support area.
2. The method according to claim 1, wherein after step S50, the method further comprises: step S60: calculating the space distance from the new upright post pressure data of each bracket collected in real time to the center of each category according to the clustering centers of each category obtained in the step S30;
and determining the support area to which the support belongs in real time according to the space distance from the new column pressure data of each support to the center of each category obtained through calculation, and dynamically updating the support area division result to which the support belongs.
3. The method of claim 1, wherein the hydraulic mount comprises a two-column and/or four-column hydraulic mount;
when the hydraulic support is a two-column hydraulic support, the upright column pressure data of the hydraulic support needs to be monitored in real time in the steps S10 and S60 as left upright column or right upright column pressure data;
the multiple groups of upright post pressure data in the same time period of the multiple supports in the step S20 are a two-dimensional vector, and include left upright post or right upright post pressure data and corresponding support numbers;
when the hydraulic support is a four-column hydraulic support, the upright column pressure data of the hydraulic support which needs to be monitored in real time in the steps S10 and S60 are left front upright column, right rear upright column or right front upright column and left rear upright column data;
the multiple groups of upright post pressure data in the same time period of the multiple supports in the step S20 are a three-dimensional vector, including left front upright post, right rear upright post or right front upright post, left rear upright post data and corresponding support number,
when the hydraulic support comprises a two-column hydraulic support and a four-column hydraulic support, monitoring correspondingly according to data needing real-time monitoring in the step S10 and the step S60 in the two-column hydraulic support and the four-column hydraulic support respectively;
the multiple sets of column pressure data in the same time period of the multiple stents in step S20 include the two-dimensional vector and the three-dimensional vector described above.
4. The method according to claim 1, wherein when the hydraulic bracket is a two-column hydraulic bracket, the cluster analysis algorithm in step S30 is a two-dimensional data clustering method;
when the hydraulic support is a four-column hydraulic support, the cluster analysis algorithm in step S30 is a three-dimensional data clustering method.
5. The method according to claim 1, wherein in step S50, performing final area confirmation on the bracket of the dispute pending support area, and updating the initial support area type to obtain a final support area type includes: and determining a final supporting area to which the bracket belongs according to the data volume of a certain supporting area in which the bracket of the to-be-supported area is located.
6. The method of claim 5, wherein the step of determining the final supporting area to which the support of the area to be supported belongs according to the data volume of the supporting area in which the support is located comprises the following steps:
calculating the data proportion of the bracket of the dispute undetermined supporting area in different supporting areas;
and comparing the obtained data occupation ratios, and determining the support area corresponding to the maximum data occupation ratio as the final support area of the support.
7. The method according to claim 2, wherein in step S60, the calculating the spatial distance from the new column pressure data of each bracket to the center of each category in real time comprises: calculating the Euclidean distance from the new stand column pressure data coordinate of each support to each clustering center coordinate;
the step of determining the support area to which the support belongs in real time according to the space distance from the new column pressure data of each support to the center of each category obtained through calculation comprises the following steps: and comparing the calculated Euclidean distances with each other, and determining the cluster type corresponding to the minimum Euclidean distance as a support region to which the new stand column pressure data of the support belongs, namely a new support region of the support.
8. The method of claim 1, wherein the rack column pressure data is rack column pressure data for a period of time collected between two cycles of pressure application.
9. The accurate support method for the fully mechanized coal mining face support is characterized by comprising the following steps:
s100, monitoring upright post pressure data of a hydraulic support of a fully mechanized mining face in real time;
s200, collecting column pressure historical data of a plurality of groups of hydraulic supports, and performing corresponding processing on timestamps and support numbers to obtain a plurality of groups of column pressure data of the plurality of supports in the same time period;
s300, selecting the upright post pressure data and the support number of the hydraulic support in the step S200 as input parameters of a clustering analysis algorithm, and performing clustering analysis to obtain a clustering result; the clustering result comprises clustering categories and clustering centers of the categories;
step S400, taking each cluster type of the cluster result obtained in the step S300 as a support area of the working face support, and obtaining the initial support area types with the same number as the cluster types; a bracket disputing an undetermined supporting area exists in the type of the initial supporting area;
step S500: according to the type of the initial supporting area obtained in the step S400, performing final area confirmation on the bracket of the to-be-supported area of the dispute, and updating the type of the initial supporting area to obtain the type of the final supporting area;
step S600: and carrying out differentiated support adjustment according to the obtained final support region types, and respectively adopting different support strategies, thereby realizing accurate support of the support in each region of the working face.
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