CN202140117U - System for detecting, identifying, forecasting and early warning underground major hazard of coal mine - Google Patents
System for detecting, identifying, forecasting and early warning underground major hazard of coal mine Download PDFInfo
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- CN202140117U CN202140117U CN201120234390U CN201120234390U CN202140117U CN 202140117 U CN202140117 U CN 202140117U CN 201120234390 U CN201120234390 U CN 201120234390U CN 201120234390 U CN201120234390 U CN 201120234390U CN 202140117 U CN202140117 U CN 202140117U
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Abstract
The utility model relates to a system for detecting, identifying, forecasting and early warning underground major hazard of a coal mine, which belongs to the technical field of underground safety of the coal mine. The technical scheme is that the system comprises a server, an operating terminal, a looped network switch, a fireproof gas detector, a hydrological monitor and a top plate pressure monitor. The fireproof gas detector, the hydrological monitor and the top plate pressure monitor are arranged underground and respectively connected with the looped network switch which is connected with the server and the operating terminal which are arranged on the ground through network. The system for detecting, identifying, forecasting and early warning the underground major hazard of the coal mine achieves integration of various hazard data through a network platform, establishes an index evaluation system for the underground major hazard of the coal mine and achieves real-time concentrated monitoring on water, fire, gas and pressure of the top plate through a decision support module of a software platform, thereby capable of reporting forecast and early warning information about danger conditions and providing effective helps for users to handle accidents and catastrophes.
Description
Technical field
The utility model relates to major hazard source detection, identification and prediction, early warning system under a kind of coal mine, belongs to the coal mine downhole safety technical field.
Background technology
China is one of the most serious country of major hazard source in the world, and major hazard source factors such as gas, ore deposit pressure and top board, coal dust, water, fire are the principal elements that influences Safety of Coal Mine Production.Improve colliery major hazard source pre-alerting ability, reduce the major hazard source accident rate, improving colliery general safety managerial skills is important topics that current urgent need solves.At present relevant major hazard source detection, identification and prediction, the applicable cases of early warning with Safety of Coal Mine Production; Have following problem: (1) is fuzzy to the classification of major hazard source; Be necessary from substantive characteristics, dangerous matter sources to be distinguished, for safety management provides correct theoretical direction; (2) it is narrow that major hazard source detects coverage, and the detection coverage to major hazard source under the coal mine mainly was fire, gas and other toxic and harmful in the past, and the on-line monitoring that relates to major hazard sources such as water and top board then lacks relatively; (3) do not set up multi-specialized, multidisciplinary integrated major hazard source detection, identification and Early-warning Model; The mass data that detects, monitoring equipment obtains is lacked comprehensive data mining; Be some simple analysis based on single specialty; For many years, not further innovation and integrated of correlation technique; (4) do not have the unified information-based data processing platform (DPP) and the network platform, comparatively single to the analysis and the research Consideration of relevant accident, it is low to cause information can't share interchange, complex, prediction precision.In fact, the data relevant with Safety of Coal Mine Production have shared characteristic, and must carry out analysis-by-synthesis to the analysis of a lot of industrial accidents to the data of different specialties with early warning and just can obtain correct result; (5) under the coal mine be a special working environment; Inflammable, explosion hazard gases such as gas are arranged; Corrosive gas such as hydrogen sulfide are arranged; Humid environment, the space is narrow and small, dust is big, and electromagnetic interference is serious, voltage ripple of power network is big, and rugged environment has caused present situations such as the precision of present mine sensors is low, application life is short; (6) a little less than the real-time online function of data acquisition facility, at present, except can obtaining in real time the gas data, other is not also generally used such as the real-time acquisition technique to monitored data such as water temperature, ore deposit pressure, pernicious gases; (7) lack and the information-based system of business management that adapts, the management mode of coal enterprise is still served for the traditional hand management mode, can't adapt to the demand of information system management, can not give full play to quick, accurate, the real-time advantage of information technology; (8) data processing platform (DPP) and core technology thereof do not have the breakthrough of essence.Coal information belongs to the category of spatial information; And different pit mining technical condition have difference more or less; Technical method and management mode also are very different; Lot of data also is to obtain through numerous monitoring and controlling systems, and general industrial control configuration software is not for the exploitation of coal industry amount body, can't satisfy the demand that the colliery spatial information is handled.Can't satisfy Safety of Coal Mine Production from the collection of data, transmit, analyze the demand of decision-making overall process.This just requires to develop the special-purpose configuration software system in colliery, and this system must possess the two dimension of GIS (geographical information system), three-dimensional data processing function.
The utility model content
The purpose of the utility model is to provide major hazard source detection, identification and prediction, early warning system under a kind of coal mine; Utilize the network platform to realize the integrated of all kinds of dangerous matter sources data; The uniform data of gathering is saved in real-time and the historical data base; For the correlation analysis between the several data lays the foundation, reduce the incidence of Safety of Coal Mine Production accident, solve the problems referred to above that background technology exists.
The technical scheme of the utility model is following: major hazard source detection, identification and prediction, early warning system under the coal mine; Comprise server, operating terminal, ring exchanger, fire prevention gas indicator, hydrologic monitoring device, roof pressure monitor; The fire prevention gas indicator, hydrologic monitoring device, the roof pressure monitor that are arranged on the down-hole are connected with ring exchanger respectively, ring exchanger through network be arranged on aboveground server and be connected with operating terminal.
The utility model also is provided with temperature, gas, ventilation sensor, is connected with the fire prevention gas indicator, and the corresponding signal of gathering is sent into fire prevention gas detector processes; Be provided with flow, water level, flow sensor, be connected, the corresponding signal of gathering is sent into the hydrologic monitoring device handle with the hydrologic monitoring device; Be provided with the roof pressure sensor, be connected, the corresponding signal of gathering is sent into the roof pressure monitor handle with the roof pressure monitor.
Said server comprises database server, data acquisition server, the management and control server that is set up in parallel.
Use the utility model; The data of gathering comprise analog quantitys such as temperature, gas density, discharge, water level, pressure; Through software platform the analog data of gathering is stored and analyzed, when noting abnormalities, send early warning information in advance through data server.
The utlity model has following beneficial effect: utilize the network platform to realize the integrated of all kinds of dangerous matter sources data, the uniform data of collection is saved in real-time and the historical data base, for the correlation analysis between the several data is laid a good foundation; Set up the index evaluation system of major hazard source under the coal mine; Utilize software platform that data are comprehensively discerned and estimated; Realize the concentrated in real time monitoring of water, fire, gas and roof pressure through the decision support module of software platform; Can report the prediction and the early warning information of unsafe condition in advance, and point out the position that dangerous matter sources takes place, help for the catastrophe of processing accident provides the most effectively through the special-purpose generalized information system (geographical information system) in colliery.
Description of drawings
Accompanying drawing 1 is the utility model embodiment sketch map;
Among the figure: operating terminal 1, ring exchanger 2, fire prevention gas indicator 3; Hydrologic monitoring device 4, roof pressure monitor 5, temperature, gas, ventilation sensor 6; Flow, water level, flow sensor 7, roof pressure sensor 8, database server 9; Data acquisition server 10, management and control server 11.
The specific embodiment
Below in conjunction with accompanying drawing, the utility model is described further through embodiment.
In an embodiment; Major hazard source detection, identification and prediction, early warning system under the coal mine; Comprise server, operating terminal 1, ring exchanger 2, fire prevention gas indicator 3, hydrologic monitoring device 4, roof pressure monitor 5; The fire prevention gas indicator, hydrologic monitoring device, the roof pressure monitor that are arranged on the down-hole are connected with ring exchanger respectively, ring exchanger through network be arranged on aboveground server and be connected with operating terminal.Present embodiment also is provided with temperature, gas, ventilation sensor 6, is connected with fire prevention gas indicator 3, and the corresponding signal of gathering is sent into fire prevention gas detector processes; Be provided with flow, water level, flow sensor 7, be connected, the corresponding signal of gathering is sent into the hydrologic monitoring device handle with hydrologic monitoring device 4; Be provided with roof pressure sensor 8, be connected, the corresponding signal of gathering is sent into the roof pressure monitor handle with roof pressure monitor 5.Said server comprises database server 9, data acquisition server 10, the management and control server 11 that is set up in parallel.
The network platform of the utility model has adopted the EPA switch module to form down-hole industry looped network; Possesses the network redundancy function; The down-hole switch module extends to each dangerous matter sources detection position, and Ethernet interface and the TCP host-host protocol image data through standard also is transferred to aboveground Centralized Monitoring center.Surveillance center has disposed data acquisition server, management and control server, database server, operating terminal, through software systems the data in the database is analysed and compared, and outputs to terminal display, is handled accordingly by operating personnel.
The utility model relates to geology, the hydrology, mining, ventilation, detection, monitoring, mathematics, computer communication and network transmission many aspects to identification, the early warning of colliery major hazard source, through kind of information comprehensive analysis being calculated the purpose that reaches the hazard recognition source.There is the decision support template storehouse of specialty in system, realizes the data sharing of fire damp monitoring system and ventilation numerical value treatment system, realizes the real-time calculating and the abnormity diagnosis of down-hole ventilation network.Set up the warning index system for known danger source (like old working, old kiln, gushing water tomography, safety pillar, karst collapse col umn etc.); To through Real time identification, analyze and draw danger sources information (like roof fall, gas and gushing water etc.), realized the quick transmission and the feedback of information.Use the 3DGIS technology, set up major hazard source identification under the coal mine, prediction and early warning storage and processing platform, utilize computer and ethernet communication technology, realized the high-speed transfer of real time information.Developed the special-purpose configuration platform in colliery, realized that communication configuration, database configuration, form configuration, curve configuration, animated graphics configuration, true 3-D graphic configuration, personnel in the pit locate configuration, storage configuration, data configuration, voice configuration, image configuration, early warning prediction scheme configuration.Through the integrated use of above state-of-the-art technology, realize detection, prediction and early warning to water, fire, gas, top board major hazard source.This system takes place and improves the horizontal aspect of coal mine safety management and can play an important role reducing colliery major hazard source security incident.
Claims (3)
1. major hazard source detection under the coal mine, identification and prediction, early warning system; It is characterized in that comprising server, operating terminal (1), ring exchanger (2), fire prevention gas indicator (3), hydrologic monitoring device (4), roof pressure monitor (5); The fire prevention gas indicator, hydrologic monitoring device, the roof pressure monitor that are arranged on the down-hole are connected with ring exchanger respectively, ring exchanger through network be arranged on aboveground server and be connected with operating terminal.
2. according to major hazard source detection under the said coal mine of claim 1, identification and prediction, early warning system, it is characterized in that also being provided with temperature, gas, ventilation sensor (6), be connected with fire prevention gas indicator (3); Be provided with flow, water level, flow sensor (7), be connected with hydrologic monitoring device (4); Be provided with roof pressure sensor (8), be connected with roof pressure monitor (5).
3. according to major hazard source detection under claim 1 or the 2 said coal mine, identification and prediction, early warning system, it is characterized in that said server comprises database server (9), data acquisition server (10), the management and control server (11) that is set up in parallel.
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CN201120234390U CN202140117U (en) | 2011-07-05 | 2011-07-05 | System for detecting, identifying, forecasting and early warning underground major hazard of coal mine |
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CN201120234390U CN202140117U (en) | 2011-07-05 | 2011-07-05 | System for detecting, identifying, forecasting and early warning underground major hazard of coal mine |
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Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102536324A (en) * | 2012-03-07 | 2012-07-04 | 山西潞安环保能源开发股份有限公司 | Coal mine production disaster early warning system |
CN102890754A (en) * | 2012-10-31 | 2013-01-23 | 中国科学院自动化研究所 | Danger source monitoring system for mine |
CN103410551A (en) * | 2013-08-31 | 2013-11-27 | 山西潞安环保能源开发股份有限公司常村煤矿 | Data analysis system for ventilation safety |
CN103726877A (en) * | 2012-10-12 | 2014-04-16 | 镇江安扬安全设备科技有限公司 | Mine road soil pressure collecting and early-warning system |
CN103775129A (en) * | 2013-12-26 | 2014-05-07 | 中国矿业大学 | Method for early warning of dangerous sources of coal mine |
CN103953393A (en) * | 2014-05-13 | 2014-07-30 | 山东科技大学 | Mine ventilation system partitioning stabilized dynamic monitoring and pre-warning system |
CN105089703A (en) * | 2015-09-15 | 2015-11-25 | 江苏三恒科技股份有限公司 | Mine safety system and control method |
CN105117857A (en) * | 2015-09-16 | 2015-12-02 | 枣庄矿业(集团)有限责任公司田陈煤矿 | Coal mine safety dynamic appraisement and diagnosis system and method |
CN105298543A (en) * | 2015-11-18 | 2016-02-03 | 四川航天电液控制有限公司 | Coal mine pressure analysis system |
CN106089304A (en) * | 2016-07-29 | 2016-11-09 | 邹平县供电公司 | A kind of based on stratum construction multifunctional electric control early warning communication system |
CN107356942A (en) * | 2017-06-16 | 2017-11-17 | 芜湖航飞科技股份有限公司 | Mine based on the Big Dipper searches and rescues alignment system |
CN108022052A (en) * | 2017-12-14 | 2018-05-11 | 北京龙软科技股份有限公司 | A kind of Safety of Coal Mine Production dynamic diagnostics system and method based on big data analysis |
CN109057865A (en) * | 2018-10-29 | 2018-12-21 | 成都金自天正智能控制有限公司 | A kind of coal mine downhole safety monitoring system |
CN113922983A (en) * | 2021-08-31 | 2022-01-11 | 河北智恩网络科技有限公司 | Dangerous source data acquisition method capable of customizing data format |
-
2011
- 2011-07-05 CN CN201120234390U patent/CN202140117U/en not_active Expired - Lifetime
Cited By (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102536324A (en) * | 2012-03-07 | 2012-07-04 | 山西潞安环保能源开发股份有限公司 | Coal mine production disaster early warning system |
CN103726877A (en) * | 2012-10-12 | 2014-04-16 | 镇江安扬安全设备科技有限公司 | Mine road soil pressure collecting and early-warning system |
CN102890754A (en) * | 2012-10-31 | 2013-01-23 | 中国科学院自动化研究所 | Danger source monitoring system for mine |
CN103410551A (en) * | 2013-08-31 | 2013-11-27 | 山西潞安环保能源开发股份有限公司常村煤矿 | Data analysis system for ventilation safety |
CN103775129B (en) * | 2013-12-26 | 2015-12-09 | 中国矿业大学 | The method of a kind of colliery dangerous matter sources early warning |
CN103775129A (en) * | 2013-12-26 | 2014-05-07 | 中国矿业大学 | Method for early warning of dangerous sources of coal mine |
CN103953393A (en) * | 2014-05-13 | 2014-07-30 | 山东科技大学 | Mine ventilation system partitioning stabilized dynamic monitoring and pre-warning system |
CN103953393B (en) * | 2014-05-13 | 2016-03-02 | 山东科技大学 | A kind of mine ventilation system subregion stable dynamic monitoring and early warning system |
CN105089703A (en) * | 2015-09-15 | 2015-11-25 | 江苏三恒科技股份有限公司 | Mine safety system and control method |
CN105117857A (en) * | 2015-09-16 | 2015-12-02 | 枣庄矿业(集团)有限责任公司田陈煤矿 | Coal mine safety dynamic appraisement and diagnosis system and method |
CN105298543A (en) * | 2015-11-18 | 2016-02-03 | 四川航天电液控制有限公司 | Coal mine pressure analysis system |
CN106089304A (en) * | 2016-07-29 | 2016-11-09 | 邹平县供电公司 | A kind of based on stratum construction multifunctional electric control early warning communication system |
CN106089304B (en) * | 2016-07-29 | 2018-10-19 | 邹平县供电公司 | One kind controlling early warning communication system based on stratum construction multifunctional electric |
CN107356942A (en) * | 2017-06-16 | 2017-11-17 | 芜湖航飞科技股份有限公司 | Mine based on the Big Dipper searches and rescues alignment system |
CN108022052A (en) * | 2017-12-14 | 2018-05-11 | 北京龙软科技股份有限公司 | A kind of Safety of Coal Mine Production dynamic diagnostics system and method based on big data analysis |
CN109057865A (en) * | 2018-10-29 | 2018-12-21 | 成都金自天正智能控制有限公司 | A kind of coal mine downhole safety monitoring system |
CN113922983A (en) * | 2021-08-31 | 2022-01-11 | 河北智恩网络科技有限公司 | Dangerous source data acquisition method capable of customizing data format |
CN113922983B (en) * | 2021-08-31 | 2024-03-08 | 河北智恩网络科技有限公司 | Dangerous source data acquisition method capable of customizing data format |
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C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
C56 | Change in the name or address of the patentee | ||
CP01 | Change in the name or title of a patent holder |
Address after: 063018 Hebei Province, Tangshan City Xinhua Dong No. 70 Co-patentee after: BEIJING LONGRUAN TECHNOLOGIES INC. Patentee after: Kailuan (Group) Co. Ltd. Address before: 063018 Hebei Province, Tangshan City Xinhua Dong No. 70 Co-patentee before: Beijing Longruan Technology Development Co., Ltd. Patentee before: Kailuan (Group) Co. Ltd. |
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Granted publication date: 20120208 |
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CX01 | Expiry of patent term |