CN212743995U - Machine-mounted coal rock recognition device of coal mining machine - Google Patents
Machine-mounted coal rock recognition device of coal mining machine Download PDFInfo
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- CN212743995U CN212743995U CN202020878480.2U CN202020878480U CN212743995U CN 212743995 U CN212743995 U CN 212743995U CN 202020878480 U CN202020878480 U CN 202020878480U CN 212743995 U CN212743995 U CN 212743995U
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Abstract
The utility model discloses a coal-winning machine carries formula coal petrography recognition device, including the coal-winning machine, coal-winning machine fuselage internally mounted has the communication basic station of the seismic signal who gathers storage coal-winning machine fuselage and cylinder position, and the left cylinder of coal-winning machine, fuselage, right cylinder correspond the position and install a seismic wave detector respectively, and three seismic wave detector passes through the communication line and is connected to the communication basic station on, and the seismic signal data of storage coal-winning machine fuselage and cylinder position are gathered to the communication basic station, and the communication basic station carries out real-time data analysis and processing through the communication line connection to. The utility model discloses to the real-time meticulous detection of colliery stope face the place ahead structure, through the vibration signal that the research coal-winning machine sent at the cutting coal petrography in-process, can realize cutting the coal, cutting the waste rock and cutting the dynamic identification of rock state to the coal-winning machine, effectively alleviate stope face workman's working strength, increase the efficiency of coal seam exploitation, reduce hidden danger, accord with the unmanned automatic exploitation technique of application when thin seam exploitation.
Description
The technical field is as follows:
the utility model relates to a coal mining field especially relates to a coal-winning machine carries formula coal petrography recognition device.
Background art:
the coal mining conditions in China are complex, and mine safety accidents are frequent. In the coal mining process of a coal mine working face, the mine disaster with cluster death and cluster damage is mainly caused by gas outburst and mine water inrush. The two disaster-causing factors are related to the geological structure of the mine, so that the real-time detection of the disaster source in front of the working face has important practical significance for safe mining. At present, the exploration of the coal mine working face structure is generally carried out after the working face is formed, and the conventional exploration methods comprise a radio wave perspective technology, an underground seismic wave CT technology and geological radar exploration. None of these methods can detect and predict structures in front of the working face in real time and effectively detect the hidden danger caused by activation of disaster sources due to mining.
Coal rock identification is the automatic identification of coal or rock using a method. Most of the rollers in the coal mining operation at the present stage are manually adjusted, namely, a driver of the coal mining machine judges whether the cutting pick cuts the rock according to visual observation and working noise of the coal mining machine, and then the adjustment is carried out. Due to the low visibility and the high noise of the working surface, an operator cannot timely and accurately judge the cutting state of the roller, so that the roller can easily cut the top rock in a manual adjustment mode, the working abrasion of roller cutting teeth is increased, and the service life of the cutting teeth is influenced; the quality of coal can be reduced after gangue is mixed in the cut coal bed; for high gas mines, explosion accidents are easy to happen; the coal rock distribution of the working face to be cut is not known, so that the cutting is not performed, a large recovery rate cannot be obtained, the waste of coal resources is caused, and the economic benefit is influenced. Especially, in the mining process of the working face of the thin coal seam, the working space of workers is narrow under the influence of small thickness of the coal seam and low roof, and if the roller of the coal mining machine is adjusted manually, the mining efficiency of the coal seam is very low and the labor intensity of the workers is also very high. In addition, due to the influence of the geological conditions of the thin coal seam, safety accidents are easily caused, and the safety production of mines is threatened. In order to reduce the working strength of workers on a stope face, increase the coal seam mining efficiency and eliminate potential safety hazards, unmanned automatic mining technology is applied to thin coal seam mining.
The precondition of automatic mining of the unmanned working face is a coal rock interface identification technology, and the technology is also the basic condition for automatically controlling the coal mining machine. At present, more than 20 kinds of coal and rock identification technologies exist at home and abroad, and the technologies mainly comprise an artificial gamma-ray method, a radar detection method, an infrared reflection method, a natural gamma-ray method, a memory cutting method and the like. Wherein, the penetration capability of the artificial gamma ray method is insufficient, and the good contact with the top coal is difficult to ensure. The radar detection method is affected by the signal attenuation caused by a thick coal seam, the dispersion of the coal quality characteristics is seriously affected, the signals are difficult to detect, and the application range of the technology in the underground coal mine is limited. When the Pythium coefficients of coal and rock are close, the coal-rock interface is difficult to measure and calculate by an infrared detection method, and in addition, the method can cause mutual coupling between temperature and increase, and cannot identify geological problems such as gangue inclusion and the like. The natural gamma ray method has mature technology, has the advantages of non-contact measurement, simple signal analysis but difficult commercialization, and has the advantages that as each fully mechanized caving face is provided with hundreds of hydraulic supports, the coal caving degree of each hydraulic support needs to be detected, so that one fully mechanized caving face needs to be provided with hundreds of natural gamma ray coal and gangue sensors, and the cost of the coal and gangue interface identification sensor based on the natural gamma rays is very high. Meanwhile, the detector is inconvenient to install and maintain, the environment of the coal caving working face is complex, the position of the probe of the detector is not easy to fix, and the impact of the coal and gangue mixture on the tail beam can block the small hole in the steel plate, so that the gamma ray cannot smoothly reach the probe. The memory cutting technology is a mature technology at present and is applied to the production of coal mines, but a major defect of the method is that the disaster detection of coal rock layers and working faces cannot be solved.
In summary, a device with novel and reasonable structural design is needed to detect and forecast the front structure of the working face in real time, so that the working intensity of workers on the stope face can be reduced, the mining efficiency is increased, the automatic mining is facilitated, and the hidden danger is reduced.
The utility model has the following contents:
in order to compensate the prior art problem, the utility model aims at providing a coal-winning machine carries formula coal petrography recognition device through the vibration signal that research coal-winning machine sent at the cutting coal petrography in-process, can realize cutting the coal, cutting the waste rock and cutting the dynamic identification of rock state to the coal-winning machine, and the working face front structure is surveyed in real time and is forecasted, increases mining efficiency, reduces hidden danger.
The technical scheme of the utility model as follows:
the machine-mounted coal rock recognition device of the coal mining machine comprises the coal mining machine, the coal mining machine comprises a machine body and a left roller and a right roller which are arranged on two sides of the machine body, and the machine-mounted coal rock recognition device is characterized in that a communication base station for collecting and storing vibration signals of the machine body and the rollers of the coal mining machine is arranged in the machine body,
the corresponding positions of the left roller, the machine body and the right roller of the coal mining machine are respectively provided with a seismic wave detector I, a seismic wave detector II and a seismic wave detector III,
the three seismic wave detectors are connected to a communication base station through communication lines, the communication base station collects and stores vibration signal data of the positions of a coal cutter body and a roller, and the communication base station is connected to a PC (personal computer) terminal in a final control room through the communication lines to perform real-time data analysis processing.
The machine-mounted coal rock identification device of the coal mining machine is characterized in that the installation of the seismic wave detector I, the seismic wave detector II and the seismic wave detector III is realized by selecting the direction of the working surface of the coal mining machine.
The machine-mounted coal rock recognition device of the coal mining machine is characterized in that a hydraulic support is mounted below a machine body of the coal mining machine, and a seismic wave detector II is mounted at a position where the machine body is connected with the hydraulic support and is mounted in the direction of a working face when mounted.
The onboard coal rock recognition device of the coal mining machine is characterized in that before the communication base station formally starts data acquisition, the time for acquiring data in the acquisition base station is ensured to be consistent with the operation time of the coal mining machine when the acquisition base station and the coal mining machine system are calibrated.
The utility model has the advantages that:
1. the utility model has reasonable structural design, can detect and forecast the front structure of the working face in real time, and can effectively detect and forecast the hidden danger caused by the activation of the disaster source due to excavation;
2. the utility model discloses can be to the real-time meticulous detection of colliery stope place ahead structure, through the vibration signal that the research coal-winning machine sent at the cutting coal petrography in-process, can realize cutting the coal, cutting the waste rock and cutting the dynamic identification of rock state to the coal-winning machine, effectively alleviate stope workman's working strength, increase the efficiency of coal seam exploitation, accord with the unmanned automatic exploitation technique of fortune when thin coal seam exploitation.
Description of the drawings:
fig. 1 is a schematic structural diagram of the present invention.
Fig. 2 is a distribution diagram of the coal mining machine and the geophone of the present invention.
The specific implementation mode is as follows:
the technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings, and it is to be understood that the described embodiments are only some embodiments, but not all embodiments of the present invention.
The machine-mounted coal rock recognition device of the coal mining machine comprises the coal mining machine, the coal mining machine comprises a machine body 2 and a left roller 1 and a right roller 3 which are arranged on two sides of the machine body, a communication base station 4 for collecting and storing vibration signals of the machine body and the rollers of the coal mining machine is arranged in the machine body 2,
the corresponding positions of the left roller 1, the body 2 and the right roller 3 of the coal mining machine are respectively provided with a seismic wave detector I8, a seismic wave detector II 9 and a seismic wave detector III 10,
the three seismic wave detectors are connected to a communication base station 4 through a communication line 5, the communication base station 5 collects and stores vibration signal data of the positions of the coal mining machine body 2 and the roller, and the communication base station 4 is connected to a PC (coal safety computer) 6 end in a terminal control room 5 through the communication line to perform real-time data analysis processing.
The installation of the first seismic wave detector 8, the second seismic wave detector 9 and the third seismic wave detector 10 is that the direction of the working face of the coal mining machine is selected for installation.
A hydraulic support is arranged below the machine body 3 of the coal mining machine, and a second seismic wave detector 9 is arranged at the position where the machine body 2 is connected with the hydraulic support and is arranged in the direction of a working face when being arranged.
Before the communication base station 4 formally starts data acquisition, the time for acquiring data in the acquisition base station is ensured to be consistent with the operation time of the coal mining machine when the acquisition base station and the coal mining machine system are calibrated.
The working principle is as follows:
the utility model discloses an because the interference formation of image of coal-winning machine production seismic wave signal at the coal-cutting in-process, when meetting the place ahead and having structures such as fault, collapse post in the working face extraction, the seismic signal who produces at the fault department of cutting the coal produces reflection and scattering, is received by installing two 9 geophones at coal-winning machine and hydraulic support position. The second geophone 9 is mounted on the shearer body 2 and hydraulic mount so that the geophone receives reflected signals from the formation ahead.
After the three seismic wave detectors are installed, signals of at least one coal mining period are required to be acquired, namely, the coal mining machine moves from the machine head to the machine tail for a complete cutting period, and then the whole working face can be explored once. And before the second seismic wave detector 9 is installed, the direction along the roadway is specified to be the X direction, the direction in the working surface is the Y direction, and the mining height direction is the Z direction. The machine body and the roller of the coal mining machine are provided with three-component geophones, and according to field test, analysis results show that the imaging effect of Y-component signals is best, so the geophones on the coal mining machine select Y-component data for subsequent processing. The single-component geophone is arranged at the position of the hydraulic support, and the installation in the Y direction is directly selected during installation.
Before data acquisition is formally started, time synchronization of the acquisition base station and the coal mining machine system is firstly carried out, and the data acquisition time in the acquisition base station is ensured to be consistent with the coal mining machine operation time. The coal cutter takes a complete coal cutting period from the beginning to the end of data acquisition. And after data acquisition is finished, performing Y-direction channel extraction, and then selecting a Y-component signal on a cutting drum of the coal mining machine as a factor channel to perform interference imaging with the Y-component signal on the hydraulic support and the Y-component signal on the body of the coal mining machine respectively. The length of the interference imaging data is consistent with the length of the stay of the coal mining machine on the hydraulic support. The time frame for the first pass through the carriage should be selected when the shearer is repeatedly cutting on some carriage to ensure the cut surface is level.
The result of interference imaging of three seismic sensors on the coal mining machine is virtual seismic record with a coal mining machine roller as a seismic source and a machine body as a detector. Due to the close distance between the shearer drum and the fuselage, self-excited, self-collected seismic records from the formation in front of the face may be approximated. The result of interference imaging of the cutting roller of the coal mining machine and the detectors on the hydraulic support is virtual earthquake record received by the detectors on the hydraulic support and the cutting roller of the coal mining machine serving as an earthquake source. The construction situation in front of the working face can be reflected as well.
The above embodiments are only described for the preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention, and the modifications and improvements made by the technical solutions of the present invention should fall into the protection scope of the present invention without departing from the design spirit of the present invention.
Claims (4)
1. A machine-mounted coal rock recognition device of a coal mining machine comprises the coal mining machine, the coal mining machine comprises a machine body and a left roller and a right roller which are arranged on two sides of the machine body, and is characterized in that a communication base station for collecting and storing vibration signals of the machine body and the rollers of the coal mining machine is arranged in the machine body,
the corresponding positions of the left roller, the machine body and the right roller of the coal mining machine are respectively provided with a seismic wave detector I, a seismic wave detector II and a seismic wave detector III,
the three seismic wave detectors are connected to a communication base station through communication lines, the communication base station collects and stores vibration signal data of the positions of a coal cutter body and a roller, and the communication base station is connected to a PC (personal computer) terminal in a final control room through the communication lines to perform real-time data analysis processing.
2. The coal mining machine onboard coal rock identification device according to claim 1, wherein the installation of the first seismic wave detector, the second seismic wave detector and the third seismic wave detector is the installation in the direction of the working face of the coal mining machine.
3. The machine-mounted coal rock recognition device of the coal mining machine as claimed in claim 1 or 2, wherein a hydraulic support is mounted below the machine body of the coal mining machine, and the second seismic wave detector is mounted at a position where the machine body is connected with the hydraulic support and is mounted in a working face direction selected during mounting.
4. The on-board coal rock identification device of the coal mining machine as claimed in claim 1, wherein the communication base station is configured to ensure that the time for acquiring data in the acquisition base station is consistent with the operation time of the coal mining machine when the acquisition base station and the coal mining machine system are calibrated before data acquisition is formally started.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114033365A (en) * | 2021-09-29 | 2022-02-11 | 武汉长盛煤安科技有限公司 | Coal mining machine, early warning method of coal mining machine and electronic equipment |
| CN114352274A (en) * | 2022-01-12 | 2022-04-15 | 中国矿业大学 | Coal-rock interface identification method based on roller seismic source of coal mining machine |
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2020
- 2020-05-22 CN CN202020878480.2U patent/CN212743995U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114033365A (en) * | 2021-09-29 | 2022-02-11 | 武汉长盛煤安科技有限公司 | Coal mining machine, early warning method of coal mining machine and electronic equipment |
| CN114352274A (en) * | 2022-01-12 | 2022-04-15 | 中国矿业大学 | Coal-rock interface identification method based on roller seismic source of coal mining machine |
| CN114352274B (en) * | 2022-01-12 | 2022-12-02 | 中国矿业大学 | Coal-rock interface identification method based on roller seismic source of coal mining machine |
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