CN113279754B - Memory cutting method and system for coal mining machine - Google Patents
Memory cutting method and system for coal mining machine Download PDFInfo
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- CN113279754B CN113279754B CN202110726269.8A CN202110726269A CN113279754B CN 113279754 B CN113279754 B CN 113279754B CN 202110726269 A CN202110726269 A CN 202110726269A CN 113279754 B CN113279754 B CN 113279754B
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- 239000003245 coal Substances 0.000 title claims abstract description 249
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- 238000005065 mining Methods 0.000 title claims description 171
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- E21C35/00—Details of, or accessories for, machines for slitting or completely freeing the mineral from the seam, not provided for in groups E21C25/00 - E21C33/00, E21C37/00 or E21C39/00
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Abstract
The invention provides a memory cutting method and a memory cutting system of a coal cutter, which are characterized in that in the manual coal cutting process, two paths of geographic position information and geological information are correspondingly connected with coal cutting parameters, a coal cutting parameter lookup table is created, the subsequent automatic coal cutting process flexibly selects the coal cutting parameters according to an actual travelling path and actual geological parameters, and the automatic coal cutting process with high safety and high accuracy is realized; in the automatic coal cutting process, the coal cutting result and the execution of the coal cutting parameters are monitored in real time, if abnormality exists, the abnormal coal cutting result and the abnormal coal cutting parameters are immediately reported, even the operation is stopped, and the safety of the coal cutting process is ensured.
Description
Technical Field
The invention relates to the technical field of fully-mechanized mining of coal mines, in particular to a memory cutting method and system of a coal cutter.
Background
The efficient intensive production of coal is the development direction of the coal industry, and advanced mining technology and equipment are adopted as the core of the efficient intensive production of mines. The new development situation of the coal industry brings higher updating requirements to coal mine equipment, coal production is intensified, the coal mine equipment is required to develop to the complete set and high reliability, and the requirements of the safety production of the coal technology on the automatic, intelligent and informationized coal mine equipment are increased.
The automatic mining technology for few people and no people is a research hotspot in the world mining world currently, and the technology in the United states and Australia is located in the front of the world, so that the automation of 'three machines' and the real-time monitoring of underground environment safety information are realized in the 80 th century of 20 th century. At the beginning of the 90 s, canada began to study remote mining technology and finland announced intelligent mining solutions as well. The world mainly produces the high-yield and high-efficiency technology of the coal country and the fully mechanized mining face automation technology are developed rapidly. The hydraulic support is used as important supporting equipment of the fully-mechanized mining face, and the degree of automation of the hydraulic support directly influences the high-yield high-efficiency and the degree of automation of the fully-mechanized mining face.
Disclosure of Invention
In order to overcome the technical defects, the invention aims to provide the memory cutting method and system for the coal mining machine, which have higher safety and more accurate parameter determination.
The invention discloses a memory cutting method of a coal mining machine, which comprises the following steps:
continuously acquiring geographical position information of a coal mining path by using a first preset distance as an interval in the coal mining advancing process of manual operation of the coal mining machine, storing externally input cutting parameters corresponding to each geographical position on the coal mining path, and acquiring a first cutting parameter extraction table corresponding to the geographical position information and the cutting parameters;
continuously acquiring geological parameters of the to-be-mined bodies on the coal mining path by taking a second preset distance as an interval in the manually operated coal mining advancing process of the coal mining machine, and storing externally input cutting parameters corresponding to the position of each to-be-mined body on the coal mining path; judging which range of a plurality of preset geological information ranges the geological parameters are located in, and connecting the stored cutting parameters with the preset geological information range to which the geological parameters of the corresponding position of the body to be mined belong to obtain a second cutting parameter extraction table of the geological parameters and the cutting parameters;
in the automatic coal mining advancing process, the coal mining machine selects to extract real-time cutting parameters according to the first cutting parameter extraction table and/or the second cutting parameter extraction table, and carries out coal mining cutting according to the real-time cutting parameters;
in the automatic coal mining advancing process, the coal mining machine selects to extract real-time cutting parameters according to the first cutting parameter extraction table and/or the second cutting parameter extraction table again after one coal cutting period is finished, and carries out coal mining cutting according to the real-time cutting parameters; the coal cutting period is a coal cutting process that the coal cutter advances by a first preset distance or a second preset distance.
Preferably, in the automatic coal mining advancing process, the coal mining machine selects to extract real-time cutting parameters according to the first cutting parameter extraction table and/or the second cutting parameter extraction table, and performs coal mining cutting according to the real-time cutting parameters, and the method further includes:
continuously detecting coal mining result information by the coal mining machine in the automatic coal mining advancing process, judging whether the coal mining result information is in a preset coal mining information threshold range, if not, uploading coal mining abnormality prompt information, and recording current geographic position information, geological parameters and actually adopted cutting parameters; the coal mining result information comprises actual coal mining amount.
Preferably, the coal mining result information further comprises various actual cutting information; judging whether the coal mining result information is in a preset coal mining information threshold range or not, if not, uploading coal mining abnormal prompt information, recording current geographic position information and geological parameters, and actually adopted cutting parameters, wherein the method further comprises the following steps: and judging whether each item of actual cutting information is positioned in the cutting parameter range, if not, uploading the coal mining abnormality prompt information, recording the current geographical position information, the geological parameters and the actually adopted cutting parameters, and stopping cutting operation.
Preferably, the determining whether each item of actual cutting information is located in the cutting parameter range includes:
if the first cutting parameter extraction table is currently extracted, judging whether each item of actual cutting information is respectively positioned in a first cutting parameter range corresponding to the current geographic position information; the first cutting parameter range is a range of error values of plus or minus five percent of cutting parameters corresponding to geographic position information in the first cutting parameter extraction table; if the second cutting parameter extraction table is currently extracted, judging whether each item of actual cutting information is respectively positioned in a second cutting parameter range corresponding to the current geological parameter; the second cutting parameter range is a range of plus or minus ten percent error values of cutting parameters corresponding to a preset geological information range to which the geological parameters belong in the second cutting parameter extraction table.
Preferably, the plurality of preset geological information ranges includes more than 5 preset geological information ranges.
Preferably, the preset geological information range is set according to the upper and lower thresholds of each parameter of the geological parameters.
Preferably, each parameter of the geological parameters is integrated through an algorithm to obtain the preset geological information range.
The invention also discloses a memory cutting system of the coal cutter, a positioning module, a geological exploration module and a processing module;
in the coal mining advancing process of the coal mining machine in manual operation, the processing module controls the positioning module to continuously acquire geographic position information of a coal mining path at intervals of a first preset distance; the processing module stores externally input cutting parameters corresponding to each geographic position on the coal mining path, and processes and acquires a first cutting parameter extraction table corresponding to the geographic position information and the cutting parameters;
in the coal mining advancing process of the coal mining machine in manual operation, the processing module controls the geological exploration module to continuously collect geological parameters of a to-be-mined body on a coal mining path at intervals of a second preset distance; the processing module stores externally input cutting parameters corresponding to each position of the coal body to be mined on the coal mining path, judges which range of a plurality of preset geological information ranges the geological parameters are located in, and links the stored cutting parameters with the preset geological information range to which the geological parameters of the corresponding position of the coal body to be mined belong so as to obtain a second cutting parameter extraction table corresponding to the geological parameters and the cutting parameters;
in the automatic coal mining advancing process of the coal mining machine, the processing module selects to extract real-time cutting parameters according to the first cutting parameter extraction table and/or the second cutting parameter extraction table, and controls the coal mining machine to perform coal mining cutting according to the real-time cutting parameters;
the processing module can select the real-time cutting parameters again according to the first cutting parameter extraction table and/or the second cutting parameter extraction table after one coal cutting period is finished in the automatic coal mining advancing process of the coal mining machine, and the coal mining machine is controlled to perform coal mining cutting according to the real-time cutting parameters; the coal cutting period is a coal cutting process that the coal cutter advances by a first preset distance or a second preset distance.
Preferably, the scraper comprises a scraper body, a scraper body and a scraper body, wherein the scraper body is provided with a scraper hole; in the automatic coal mining advancing process of the coal mining machine, the processing module controls the weight detection module to continuously detect the actual coal mining amount on the scraper machine, judges whether the coal mining result information is in a preset coal mining information threshold range, and if not, uploads coal mining abnormal prompt information and records current geographical position information, geological parameters and actually adopted cutting parameters;
and the processing module judges whether the first cutting parameter extraction table or the second cutting parameter extraction table is currently extracted: when the first cutting parameter extraction table is the first cutting parameter extraction table, the processing module judges whether each item of actual cutting information is respectively positioned in a first cutting parameter range corresponding to the current geographic position information; the first cutting parameter range is a range of error values of plus or minus five percent of cutting parameters corresponding to geographic position information in the first cutting parameter extraction table; when the second cutting parameter extraction table is the second cutting parameter extraction table, the processing module judges whether each piece of actual cutting information is respectively positioned in a second cutting parameter range corresponding to the current geological parameter; the second cutting parameter range is a range of plus or minus ten percent error values of cutting parameters corresponding to a preset geological information range to which geological parameters belong in the second cutting parameter extraction table; if not, the processing module uploads the coal mining abnormality prompt information, records the current geographical position information, geological parameters and actually adopted cutting parameters, and controls the coal mining machine to stop cutting operation.
After the technical scheme is adopted, compared with the prior art, the method has the following beneficial effects:
1. in the manual coal cutting process, two paths of geographic position information and geological information are correspondingly connected with coal cutting parameters, a coal cutting parameter lookup table is created, the subsequent automatic coal cutting process flexibly selects the coal cutting parameters according to the actual travelling path and the actual geological parameters, and the automatic coal cutting process with high safety and high accuracy is realized;
2. in the automatic coal cutting process, the coal cutting result and the execution of the coal cutting parameters are monitored in real time, if abnormality exists, the abnormal coal cutting result and the abnormal coal cutting parameters are immediately reported, even the operation is stopped, and the safety of the coal cutting process is ensured.
Drawings
FIG. 1 is a flow chart of a memory cutting method of a coal mining machine provided by the invention;
fig. 2 is a flowchart of a coal cutter memory cutting method for monitoring a coal cutting process.
Detailed Description
Advantages of the invention are further illustrated in the following description, taken in conjunction with the accompanying drawings and detailed description.
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used in this disclosure to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.
In the description of the present invention, it should be understood that the terms "longitudinal," "transverse," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present invention.
In the description of the present invention, unless otherwise specified and defined, it should be noted that the terms "mounted," "connected," and "coupled" are to be construed broadly, and may be, for example, mechanical or electrical, or may be in communication with each other between two elements, directly or indirectly through intermediaries, as would be understood by those skilled in the art, in view of the specific meaning of the terms described above.
In the following description, suffixes such as "module", "component", or "unit" for representing elements are used only for facilitating the description of the present invention, and are not of specific significance per se. Thus, "module" and "component" may be used in combination.
Referring to fig. 1, the invention discloses a memory cutting method of a coal cutter, which comprises the steps of firstly storing various coal cutting parameters in the process of manually cutting coal, and then extracting the parameters for automatic coal cutting in the next automatic coal cutting process, and specifically comprises the following steps:
s101, continuously acquiring geographical position information of a coal mining path by taking a first preset distance as an interval in the manually operated coal mining advancing process of the coal mining machine, storing externally input cutting parameters corresponding to each geographical position on the coal mining path, and acquiring a first cutting parameter extraction table corresponding to the geographical position information and the cutting parameters;
s102, continuously collecting geological parameters of the to-be-mined bodies on the coal mining path by taking a second preset distance as an interval in the manually operated coal mining advancing process of the coal mining machine, and storing externally input cutting parameters corresponding to the positions of each to-be-mined body on the coal mining path; judging which range of a plurality of preset geological information ranges the geological parameters are located in, and connecting the stored cutting parameters with the preset geological information range to which the geological parameters of the corresponding position of the body to be mined belong to obtain a second cutting parameter extraction table of the geological parameters and the cutting parameters;
s2, in the automatic coal mining advancing process, the coal mining machine selects to extract real-time cutting parameters according to the first cutting parameter extraction table and/or the second cutting parameter extraction table, and carries out coal mining cutting according to the real-time cutting parameters.
And in the automatic coal mining advancing process of the coal mining machine, after one coal cutting period is finished, the coal cutting process of advancing the coal mining machine by a first preset distance or a second preset distance is selected again according to the first cutting parameter extraction table and/or the second cutting parameter extraction table to extract real-time cutting parameters, and coal mining cutting is carried out according to the real-time cutting parameters. That is, if the first cutting parameter extraction table is extracted in the previous cycle, the coal cutting process in the previous cycle with the first preset distance may be selected to continue to extract the first cutting parameter extraction table after the coal cutting process in the previous cycle is completed, or the second cutting parameter extraction table may be used instead.
The coal cutting parameters include, but are not limited to, cutting height, speed, power (in terms of voltage, current), shearer drum inclination, and the like.
The geological information parameters include, but are not limited to, the humidity, hardness, chemical elements, etc. of the coal seam.
Preferably, referring to fig. 2, in order to ensure the safety of the coal cutting process, the coal cutting process needs to be monitored, if an abnormality occurs, the abnormal coal cutting process is reported in time, and warning information is sent out, and even the cutting operation is stopped. In the automatic coal mining advancing process, the coal mining machine continuously detects coal mining result information, judges whether the coal mining result information is located in a preset coal mining information threshold range, if not, uploads coal mining abnormal prompt information, and records current geographic position information, geological parameters and actually adopted cutting parameters.
Preferably, the coal mining result information includes an actual coal mining amount, and whether the coal cutting process is normal is judged according to the coal amount obtained by actually cutting the coal.
Preferably, besides judging the abnormality of the coal cutting process according to the coal cutting result, the method can also judge according to the execution condition of the coal cutting parameters, namely judging whether each item of actual cutting information is positioned in the cutting parameter range, if not, uploading the coal mining abnormality prompt information, recording the current geographic position information, the geological parameters and the actually adopted cutting parameters, and stopping cutting operation. And the first cutting parameter extraction table or the second cutting parameter extraction table can be selected and extracted in the next coal cutting period.
Specific:
if the first cutting parameter extraction table is currently extracted, judging whether each item of actual cutting information is respectively positioned in a first cutting parameter range corresponding to the current geographic position information. The first cutting parameter range is a range of error values of plus or minus five percent of cutting parameters corresponding to the geographic position information in the first cutting parameter extraction table. For example, if the cutting height parameter corresponding to the current geographic position information is 3m, the first cutting height range is 3.15-2.85m.
It should be noted that the error value of plus or minus five percent is not limited to the error range for realizing the present invention, and other error value ranges may be adopted in the actual process.
If the second cutting parameter extraction table is currently extracted, judging whether each item of actual cutting information is respectively positioned in a second cutting parameter range corresponding to the current geological parameter. The second cutting parameter range is the range of plus or minus ten percent error values of the cutting parameters corresponding to the preset geological information range to which the geological parameters belong in the second cutting parameter extraction table.
Similarly, the error value of plus or minus ten percent is not limited by the implementation of the present invention, and other error values may be used in the actual process.
Preferably, in order to ensure that the second cutting parameter extraction table can adapt to complex coal mining geological topography, the larger the preset geological information range, the better, and generally, at least more than 5 preset geological information ranges should be included. The various choices enable the finally determined parameters to be more in line with the actual situation.
Preferably, the preset geological information range can be set according to the upper and lower thresholds of each parameter of the geological parameters. The preset geological information range is set in sequence strictly according to the upper and lower thresholds of each parameter, and the parameters are not affected.
In addition, each parameter of the geological parameters can be integrated through an algorithm to obtain a preset geological information range. The parameters are combined and comprehensively analyzed through an algorithm to obtain a preset geological information range.
The invention also discloses a memory cutting system of the coal mining machine, which comprises:
-a positioning module for positioning a specific geographical location of the shearer;
-a geological exploration module for detecting and analysing various geological parameters of the coal seam;
-a processing module for processing, judging, controlling the operation of the shearer and the like.
In the coal mining advancing process of the manual operation of the coal mining machine, the processing module controls the positioning module to continuously acquire the geographical position information of the coal mining path by taking the first preset distance as an interval; the processing module stores externally input cutting parameters corresponding to each geographic position on the coal mining path, and processes and acquires a first cutting parameter extraction table corresponding to the geographic position information and the cutting parameters.
In the coal mining advancing process of the coal mining machine in manual operation, the processing module controls the geological exploration module to continuously acquire geological parameters of a body to be mined on a coal mining path at intervals of a second preset distance; the processing module stores externally input cutting parameters corresponding to each position of the body to be mined on the coal mining path, judges which range of a plurality of preset geological information ranges the geological parameters are located in, and links the stored cutting parameters with the preset geological information range to which the geological parameters of the corresponding position of the body to be mined belong so as to obtain a second cutting parameter extraction table corresponding to the geological parameters and the cutting parameters.
In the automatic coal mining advancing process of the coal mining machine, the processing module selects and extracts real-time cutting parameters according to the first cutting parameter extraction table and/or the second cutting parameter extraction table, and controls the coal mining machine to perform coal mining cutting according to the real-time cutting parameters.
In addition, in the automatic coal mining advancing process of the coal mining machine, after one coal cutting period is finished, the processing module can select the real-time cutting parameters again according to the first cutting parameter extraction table and/or the second cutting parameter extraction table, and control the coal mining machine to perform coal mining cutting according to the real-time cutting parameters; one coal cutting cycle is a coal cutting process in which the coal cutter advances by a first preset distance or a second preset distance.
Preferably, the coal cutter further comprises a weight detection module, wherein the weight detection module is connected with the scraper machine and used for acquiring actual coal cutting quantity. In the automatic coal mining advancing process of the coal mining machine, the processing module controls the weight detection module to continuously detect the actual coal mining amount on the scraper machine, judges whether coal mining result information is located in a preset coal mining information threshold range, and if not, uploads coal mining abnormal prompt information and records current geographic position information, geological parameters and actually adopted cutting parameters.
And the processing module judges whether the first cutting parameter extraction table or the second cutting parameter extraction table is currently extracted: when the first cutting parameter extraction list is adopted, the processing module judges whether each item of actual cutting information is respectively positioned in a first cutting parameter range corresponding to the current geographic position information, wherein the first cutting parameter range is the range of error values of plus or minus five percent of the cutting parameters corresponding to the geographic position information in the first cutting parameter extraction list; and when the second cutting parameter extraction table is adopted, the processing module judges whether each item of actual cutting information is respectively positioned in a second cutting parameter range corresponding to the current geological parameter, wherein the second cutting parameter range is the range of error values of plus or minus ten percent of the cutting parameter corresponding to the preset geological information range to which the geological parameter belongs in the second cutting parameter extraction table.
If one of the actual cutting information is not located in the first cutting parameter range corresponding to the current geographical position information or one of the actual cutting information is not located in the second cutting parameter range corresponding to the current geographical parameter, the processing module uploads the coal mining abnormal prompt information, records the current geographical position information, the geological parameter and the actually adopted cutting parameter, and controls the coal mining machine to stop cutting operation so as to ensure the safety of the coal mining process.
It should be noted that the embodiments of the present invention are preferred and not limited in any way, and any person skilled in the art may make use of the above-disclosed technical content to change or modify the same into equivalent effective embodiments without departing from the technical scope of the present invention, and any modification or equivalent change and modification of the above-described embodiments according to the technical substance of the present invention still falls within the scope of the technical scope of the present invention.
Claims (5)
1. The memory cutting method of the coal mining machine is characterized by comprising the following steps of:
continuously acquiring geographical position information of a coal mining path by using a first preset distance as an interval in the coal mining advancing process of manual operation of the coal mining machine, storing externally input cutting parameters corresponding to each geographical position on the coal mining path, and acquiring a first cutting parameter extraction table corresponding to the geographical position information and the cutting parameters;
continuously acquiring geological parameters of the to-be-mined bodies on the coal mining path by taking a second preset distance as an interval in the manually operated coal mining advancing process of the coal mining machine, and storing externally input cutting parameters corresponding to the position of each to-be-mined body on the coal mining path; judging which range of a plurality of preset geological information ranges the geological parameters are located in, and connecting the stored cutting parameters with the preset geological information range to which the geological parameters of the corresponding position of the body to be mined belong to obtain a second cutting parameter extraction table of the geological parameters and the cutting parameters;
in the automatic coal mining advancing process, the coal mining machine selects to extract real-time cutting parameters according to the first cutting parameter extraction table and/or the second cutting parameter extraction table, and carries out coal mining cutting according to the real-time cutting parameters;
in the automatic coal mining advancing process, the coal mining machine selects again to extract real-time cutting parameters according to the first cutting parameter extraction table and/or the second cutting parameter extraction table after one coal cutting period is finished, and carries out coal mining cutting according to the real-time cutting parameters, and the method comprises the following steps:
continuously detecting coal mining result information by the coal mining machine in the automatic coal mining advancing process, wherein the coal mining result information comprises actual coal mining quantity and various actual cutting information;
judging whether the coal mining result information is in a preset coal mining information threshold range, if not, uploading coal mining abnormal prompt information, recording current geographic position information, geological parameters and actually adopted cutting parameters, wherein the method comprises the following steps of: judging whether each item of actual cutting information is positioned in the cutting parameter range, if not, uploading coal mining abnormality prompt information, recording current geographic position information, geological parameters and actually adopted cutting parameters, and stopping cutting operation; wherein, the judging whether each item of actual cutting information is located in the cutting parameter range comprises:
if the first cutting parameter extraction table is currently extracted, judging whether each item of actual cutting information is respectively positioned in a first cutting parameter range corresponding to the current geographic position information; the first cutting parameter range is a range of error values of plus or minus five percent of cutting parameters corresponding to geographic position information in the first cutting parameter extraction table;
if the second cutting parameter extraction table is currently extracted, judging whether each item of actual cutting information is respectively positioned in a second cutting parameter range corresponding to the current geological parameter; the second cutting parameter range is a range of plus or minus ten percent error values of cutting parameters corresponding to a preset geological information range to which geological parameters belong in the second cutting parameter extraction table;
the coal cutting period is a coal cutting process that the coal cutter advances by a first preset distance or a second preset distance.
2. The memory cutting method of a coal mining machine according to claim 1, wherein the number of preset geological information ranges includes more than 5 preset geological information ranges.
3. The memory cutting method of a coal mining machine according to claim 1, wherein the preset geological information range is set according to upper and lower thresholds of each of the geological parameters.
4. The memory cutting method of claim 1, wherein each of the geological parameters is algorithmically integrated to obtain the predetermined geological information range.
5. The memory cutting system of the coal mining machine is characterized by comprising a positioning module, a geological exploration module and a processing module;
in the coal mining advancing process of the coal mining machine in manual operation, the processing module controls the positioning module to continuously acquire geographic position information of a coal mining path at intervals of a first preset distance; the processing module stores externally input cutting parameters corresponding to each geographic position on the coal mining path, and processes and acquires a first cutting parameter extraction table corresponding to the geographic position information and the cutting parameters;
in the coal mining advancing process of the coal mining machine in manual operation, the processing module controls the geological exploration module to continuously collect geological parameters of a to-be-mined body on a coal mining path at intervals of a second preset distance; the processing module stores externally input cutting parameters corresponding to each position of the coal body to be mined on the coal mining path, judges which range of a plurality of preset geological information ranges the geological parameters are located in, and links the stored cutting parameters with the preset geological information range to which the geological parameters of the corresponding position of the coal body to be mined belong so as to obtain a second cutting parameter extraction table corresponding to the geological parameters and the cutting parameters;
in the automatic coal mining advancing process of the coal mining machine, the processing module selects to extract real-time cutting parameters according to the first cutting parameter extraction table and/or the second cutting parameter extraction table, and controls the coal mining machine to perform coal mining cutting according to the real-time cutting parameters;
the processing module can select the real-time cutting parameters again according to the first cutting parameter extraction table and/or the second cutting parameter extraction table after one coal cutting period is finished in the automatic coal mining advancing process of the coal mining machine, and the coal mining machine is controlled to perform coal mining cutting according to the real-time cutting parameters; the coal cutting period is a coal cutting process that the coal cutter advances for a first preset distance or a second preset distance;
the scraper comprises a scraper body and is characterized by also comprising a weight detection module, wherein the weight detection module is connected with the scraper;
in the automatic coal mining advancing process of the coal mining machine, the processing module controls the weight detection module to continuously detect the actual coal mining quantity on the scraper conveyor, judges whether coal mining result information comprising the actual coal mining quantity is positioned in a preset coal mining information threshold range, and if not, uploads coal mining abnormal prompt information and records current geographic position information, geological parameters and actually adopted cutting parameters;
and the processing module judges whether the first cutting parameter extraction table or the second cutting parameter extraction table is currently extracted:
when the first cutting parameter extraction table is the first cutting parameter extraction table, the processing module judges whether each item of actual cutting information is respectively positioned in a first cutting parameter range corresponding to the current geographic position information; the first cutting parameter range is a range of error values of plus or minus five percent of cutting parameters corresponding to geographic position information in the first cutting parameter extraction table;
when the second cutting parameter extraction table is the second cutting parameter extraction table, the processing module judges whether each piece of actual cutting information is respectively positioned in a second cutting parameter range corresponding to the current geological parameter; the second cutting parameter range is a range of plus or minus ten percent error values of cutting parameters corresponding to a preset geological information range to which geological parameters belong in the second cutting parameter extraction table;
if not, the processing module uploads the coal mining abnormality prompt information, records the current geographical position information, geological parameters and actually adopted cutting parameters, and controls the coal mining machine to stop cutting operation.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103147756A (en) * | 2013-03-20 | 2013-06-12 | 中国矿业大学(北京) | Heading machine memory cutting control system and method thereof |
WO2016134690A2 (en) * | 2015-02-28 | 2016-09-01 | Tiefenbach Control Systems Gmbh | Method for operating the mining machine for coal mining in the underground coal face of a coal mine |
CN206805257U (en) * | 2017-06-09 | 2017-12-26 | 上海煤科实业有限公司 | Water pump control and monitoring system based on cloud |
-
2021
- 2021-06-29 CN CN202110726269.8A patent/CN113279754B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103147756A (en) * | 2013-03-20 | 2013-06-12 | 中国矿业大学(北京) | Heading machine memory cutting control system and method thereof |
WO2016134690A2 (en) * | 2015-02-28 | 2016-09-01 | Tiefenbach Control Systems Gmbh | Method for operating the mining machine for coal mining in the underground coal face of a coal mine |
CN206805257U (en) * | 2017-06-09 | 2017-12-26 | 上海煤科实业有限公司 | Water pump control and monitoring system based on cloud |
Non-Patent Citations (2)
Title |
---|
煤矿智能化开采新进展;王国法 等;煤炭科学技术;第49卷(第1期);第1-10页 * |
采煤机截割轨迹自动调控系统的研究;王晓东;机械管理开发(第2期);第192-193页 * |
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