CN103953393A - Mine ventilation system partitioning stabilized dynamic monitoring and pre-warning system - Google Patents
Mine ventilation system partitioning stabilized dynamic monitoring and pre-warning system Download PDFInfo
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Abstract
The invention discloses a mine ventilation system partitioning stabilized dynamic monitoring and pre-warning system. The mine ventilation system partitioning stabilized dynamic monitoring and pre-warning system comprises an underground information collection system, an information management analysis system and an alarm system. Ventilation monitoring equipment is mounted at key underground branched monitoring sites, monitored related information is transmitted to a ground monitoring center by the ventilation monitoring equipment, unified management is carried out on data by programs, pre-warning values are set and are set in the programs in combination with underground field measurement and dynamic network calculating result; when underground measured data exceeds the pre-warning values, an alarm is given in ground or underground areas, and the data size is monitored according to monitoring points of each area so as to analyze occurrence reasons and positions of catastrophes. According to the system, underground monitoring areas are reasonably distributed, so that the distribution amount of underground monitoring measuring points is reduced, the control process is simple, practical, safe and reliable, and the whole control system is low in investment and high in operability.
Description
Technical field
The present invention relates to a kind of mine ventilation dynamic monitoring and early warning system, relate in particular to a kind of mine ventilation system subregion stable dynamic monitoring and early warning system, belong to coalmine ventilation security fields.
Background technology
Mine ventilation system safety and stability is the prerequisite of carrying out downhole safety production work, because down-hole open air exhaust is all the time in the process in dynamic change, the foundation of the underground ventilating network rationally distributed, antijamming capability is strong, and by mine ventilation network being carried out to real-time monitoring and timely adjustment to ensure safety in production, its importance is self-evident.Can find out from the logical anti-catastrophe accident statistics research occurring in colliery, colliery catastrophe often with a certain part of system by source point, facilitated by Abnormal Development and the interactive effect of the various factors that is mutually related.Analysis to accident statistics further shows, the cause calamity factor more, more more outstanding than other region often collected in some region in colliery, and cause calamity factor and in mine normal production process, have more interactional channel and chance, thereby have larger security risk and cause calamity may.In these regions, each factor of production and the contingency table causing between calamity factor reveal complicated feature, and these cause calamity factor and belong to different systems, and it intercouples like belonging to accidentally, but breeding the certainty that causes calamity, and be first embodied in mine ventilation system.The feature of ventilation system catastrophe is exactly that the influence basin of catastrophe is large, consequence is serious; Catastrophe influence basin is uncertain, and after catastrophe occurs, adjacent domain may not have impact, influenced on the contrary apart from other exploiting fields outside several kilometers.
Existing Safety monitoring system, exposed technology and managerial deficiency, be mainly manifested in existing safety monitoring system monitoring measuring point and arrange that chaotic redundancy, reliability are difficult to ensure card, system is not open, extended capability is poor, more difficult maintenance, lacks unified management platform.
Summary of the invention
The object of the present invention is to provide a kind of mine ventilation system subregion stable dynamic monitoring and early warning system, this system can be according to mine catastrophe rule regional regularity, by whole ventilation system is carried out to partition type monitoring and early warning, to ensure mine ventilation system safe and stable operation.
The present invention for achieving the above object technical issues that need to address is, how rationally to carry out the monitoring layout of downhole area, from mine ventilation system globality, with less monitoring measuring point, ensure mine ventilation system safe and stable operation, to solve, existing mine safety monitoring system monitoring measuring point complicated layout, extended capability are strong, database disunity, technical problem that reliability is low.
The present invention is that a kind of mine ventilation system subregion stable dynamic monitoring and early warning system, is characterized in that, comprises down-hole information acquisition system, information management and analysis system, warning system for solving the problems of the technologies described above adopted technical scheme; Wherein:
Described down-hole information acquisition system includes intelligent sensor and programmable logic controller; Described information management and analysis system comprises control program and main frame;
Described warning system comprises aboveground alarm and down-hole alarm two parts;
Described down-hole information acquisition system is for detection of the airflow parameter of each point position, and by a common transmission circuit, survey data is sent to controller, then cross switch teletransmission to terrestrial information management and analysis by controller by another common transmission link tester;
Described information management and analysis system forms by being arranged on ground multiple host, and each main frame is provided with respectively control program and is mutually unified into a LAN;
The control program of described information management and analysis system adopts the modularization programming design based on VC10.0++, and it comprises seven modules, and wherein, two is supplementary module, and another five is functional module;
Described supplementary module is respectively subscriber information management module and static information input module;
Described functional module is respectively Ventilation Network Solution module, dynamic data monitor module, managerial report module, curvilinear figure generation module, blower fan on-line monitoring module;
System account is divided into super caretaker, caretaker, three grades of accounts of operating personnel by described user management module; Wherein, all functions of super caretaker in can use system, caretaker can use all functions except subscriber information management module, and operating personnel only can use Ventilation Network Solution, managerial report, curve generation module; Super caretaker can operate all types of users, and caretaker can only operate the user of caretaker and operating personnel's type;
Described static information input module comprises the essential information input of each monitoring measuring point, and the interpolation of monitoring measuring point, amendment, deletion measuring point or four parts of resetting; Wherein, the input message of each measuring point comprises: measuring point numbering, measuring point title, point position, ventilation section, underground substation numbering, measuring point type, answer wind supply quantity, section overall with, section sagitta;
The essential information input operation of described each monitoring measuring point is: click and add measuring point button, automatically record current input measuring point data, if there is data input incomplete, point out user profile input incomplete, need to continue to add data, until information completely, data just can be preserved, and after the errorless automatic record of information, measuring point numbering is counted downwards automatically, the content of other data input frames is removed automatically, wait for user's input information, so circulation is down carried out, and completes until add all information; In observation process, can also carry out data modification according to on-site actual situations;
The method of described data modification is, selects the measuring point numbering that will revise in measuring point numbered positions, prime information deleted and re-entered new data in relative input information frame, clicks and revises measuring point, and the essential information of measuring point is revised; In the time that input pickup is numbered, the sensor information in the automatic seeking system of meeting, transmission information, to downhole sensor, guarantees that information feedback is errorless; Described dynamic monitoring data module is collected the airflow parameter information of down-hole information acquisition system Monitor Sub-Station of Less automatically, click corresponding measuring point numbering, right figure can be drawn out blast, wind speed, the temperature profile of current measuring point automatically, and at the automatic display parameters instantaneous value in window place, upper right side; Wherein, transient data monitoring in every 5 seconds once, if monitoring parameter instantaneous value exceedes early warning value and continues 5 second time, is automatically controlled respectively the corresponding measuring point alarm in ground alarm and down-hole and is reported to the police;
Described network resolves module and adopts the permanent Si Leifa of scott moral –, inputs fan condition dot information, the each branch resistance of ventilation network, solves the air quantity of each branch under natural ventilation pressure condition;
Described terrestrial information management and analysis is provided with early warning value, after it completes described down-hole information harvester information aggregation process, according to circumstances, start described warning system in good time and carry out ground early-warning or warning, and start the alarm that is arranged on down-hole correspondence position and report to the police.
As preferably, above-mentioned down-hole information acquisition system includes intelligent sensor, and described intelligent sensor comprises wind pressure sensor, air velocity transducer, temperature pick up;
Between described intelligent sensor and described down-hole Information Monitoring system, be connected by M-BUS bus;
Described down-hole information acquisition system is connected to described information management and analysis system by RS-485 bus.
Further preferably, the installation site of above-mentioned intelligent sensor is chosen successively in accordance with the following steps:
Step 1, draws Study on mine ventilation network graph, by mine ventilation system be divided into system layer, transport layer, with three grades of logical layers of wind point, and get rid of some use little less important wind places of using of air quantity of down-hole, mine ventilation system is divided into several independently regions;
Step 2, by above-mentioned each independently between region, connect associated tunnel together, typical getting working face, main fan place branch each other, as crucial branch, then classification is carried out in the tunnel of each regional extent inside, analyze based on mine ventilation system sensitivity matrix equation, determine the degree of being affected of each branch, in regional extent, the branch of degree of being affected maximum is as auxiliary crucial branch;
Step 3, in down-hole, each crucial branch and an auxiliary crucial branch measuring point be as Monitor Sub-Station of Less, and air velocity transducer, temperature pick up, wind pressure sensor and alarm are installed respectively.
Further preferably, above-mentioned wind pressure sensor is the total temperature compensation OEM pressure sensor of SMI company of the U.S., and described air velocity transducer is KGF3 type air velocity transducer, and described temperature pick up is the digital thermometer DS18B20 of DALLS company of the U.S..
The dynamic monitoring of technique scheme and early warning system, its core technology thought is, from mine ventilation system globality, draw mine ventilation system network, by mine ventilation system be divided into system layer, transport layer, with three grades of logical layers of wind point, system layer is mainly the entering of mine, return aircourse, transport layer is ventilation subregion medial fascicle, with wind point be typical back production, driving face, mine ventilation system is carried out to yojan, remove adit and the less important wind place of using.Then further above-mentioned mine ventilation system three kinds of logical layer branches are divided into three major types, first class, affects the network branches of whole mine ventilation state; Second largest class, affects the network branches that the ventilation of whole stage casing distributes; , may there is the branch of inverted ventilation situation in the third-largest class, adopt, dig work plane as basis taking typical case, and mine ventilation system is carried out to zonal division.
Using the each region obtaining as unit independently, first associated roadway position and the title between analytic unit, by it as crucial branch, then differentiated control is carried out in the tunnel of each regional extent inside, analyze from mine ventilation system sensitivity matrix equation, obtain pit zone ventilation system stability analysis model, determine the degree of being affected of each branch, in regional extent, degree of being affected maximum one, Liang Tiao branch are as auxiliary crucial branch.Mine main ventilator branch, as " heart " of mine ventilation power, is also added in crucial branch.
(1), in ventilation system branch management, it is as follows that level of sensitivity is analyzed circular: in a ventilation system with m bar tunnel, total m × m of air quantity, blast sensitivity, branch's sensitivity matrix equation is:
(5) in formula and (6),
D: Airflow sensitive level,
E: blast susceptibility,
δ
ij: the susceptibility that the air quantity of the i of branch changes the j of branch windage,
ε
ij: the susceptibility of the blast of the i of branch to the j of branch windage,
M: point number in ventilation network
(2), in sensitivity matrix D, the extreme difference of order row is:
W
x＝(w
xi)
m×l (7)
(7) in formula: w
xi=max{d
i1, d
i2..., d
im}-min{d
i1, d
i2..., d
im, mainly reflect the distinguished and admirable complexity scope that is subject to the impact of whole network windage variation and change of ventilation network Zhong Meitiao branch.
It is the installation site of corresponding down-hole air velocity transducer, temperature pick up, wind pressure sensor at the crucial measuring point of crucial branch obtained above.
The amplitude of variation of considering temperature same place under mine is little, and its impact on mine ventilation network is relatively little, so emphasis considers to install wind speed, wind pressure sensor, only installs just now temperature pick up on the larger ground of range of temperature.
The main monitoring point of mine ventilation system airflow parameter is carried out to on-site measurement, utilize DAS MATLAB to carry out matching to data, obtain mine air parameter and meet normal distribution, regulation in 3 σ principles and " safety regulations in coal mine " of comprehensive normal distribution is determined warning index value, in the time that crucial branch Sensor monitoring value exceedes early warning value, ground system is reported to the police, and controls corresponding down-hole and adjust the work of wind facility, maintains the stable of whole ventilation system.Auxiliary monitoring branch, as auxiliary measuring point, does not participate in early warning, but after early warning information is sent, monitor value can be used as supplementary, is convenient to staff and searches rapidly reason and the position of unstable event (for example catastrophe).
In above-mentioned dynamic monitoring and early warning system, the host language using Visual C++10.0 as system development, adopts OO method for designing, carries out the coding exploitation of program.
Adopt the mode of database to store mine ventilation network data and result of calculation, optional database adopts Excel file format.
Program has seven modules, two supplementary modules and five functional modules.Supplementary module comprises user management module, static information input module, and five functional modules comprise Ventilation Network Solution module, dynamic data monitor module, control report module, curvilinear figure generation module, blower fan on-line monitoring module.
The present invention has following beneficial effect with respect to prior art:
The selection at control point of the present invention is to be based upon Study on mine ventilation network graph to carry out on the basis of abundant yojan, by removing secondary branch and less important tunnel, and retain complete ventilation system key message, do not changing under the prerequisite of original ventilation system character, carry out partition management and monitoring, its control procedure is succinct, practical, safety, reliable, whole control system reduced investment, workable.
Brief description of the drawings
Fig. 1 is mine ventilation system stability subregion formula dynamic monitoring early warning system composition diagram;
Fig. 2 is the system of selection schematic diagram of crucial branch;
Fig. 3 is MATLAB data fitting result figure;
Fig. 4 is crucial branching selection method program schematic diagram.
Detailed description of the invention
Now the present invention is described in detail in conjunction with the accompanying drawings and embodiments.
As shown in Figure 1, mine ventilation system is divided into several security partitionings by the present invention, between each security partitioning, connected by associated tunnel, inside, each security partitioning has comprised due care point some, and the local ventilation analysis of secure topical focus and the global safety analysis in safe tunnel form the Monitoring and Controlling to whole ventilation system.
This monitoring system realizes successively according to the following steps:
Step 1, from mine ventilation system globality, mine ventilation system branch resistance is measured, draw mine ventilation system network, by mine ventilation system be divided into system layer, transport layer, with three grades of logical layers of wind point, system layer is mainly the entering of mine, return aircourse, and transport layer is the medial fascicle of ventilation subregion, with wind place be typical back production, driving face.Branch resistance information, fan condition dot information, natural ventilation pressure information are led to control program in input message management and analysis carries out network and resolves, so just can obtain the distribution air quantity of each branch, taking network calculation result as basis, remove adit and the less important wind place of using, ventilation network branch and node are renumberd.Then further, above-mentioned mine ventilation system three kinds of logical layer branches are divided into three major types, first class, affects the network branches of whole mine ventilation state; Second largest class, affects the network branches that the ventilation of whole stage casing distributes; , may there is the branch of inverted ventilation situation, by the yojan of mine ventilation system network in the third-largest class.Taking getting working face as basis, mine ventilation system is carried out to region division, the region of each division is as a security partitioning, and inside and outside distinguished and admirable in security partitioning is in common dynamic action current downflow in total system, and there is definite fringe conditions in each region.
Step 2, crucial branch chooses: the flow process of choosing of crucial branch is shown in Fig. 2, using the each region obtaining in step 1 as unit independently, using between subregion, associated tunnel, main fan place branch, typical getting working face are as crucial branch, then intra-zone branch sensitivity matrix equation is analyzed, obtain pit zone ventilation system stability analysis model, determine the degree of being affected of each branch, in regional extent, degree of being affected maximum one, Liang Tiao branch are as auxiliary crucial branch.
Step 3, extrudes and sends out from method of Mine Ventilation, and auxiliary temperature and wind speed are set up the technical scheme of mine ventilation system on-line monitoring, has so far obtained crucial branch and the monitoring parameter of monitoring.In down-hole, air velocity transducer, temperature pick up, wind pressure sensor are installed in corresponding monitoring point, further, because of the amplitude of variation in temperature same place under mine little, less on the impact of Mine Ventilation Network Solution comparatively speaking, so, can consider to install wind speed, wind pressure sensor by emphasis, only install just now temperature pick up on the larger ground of range of temperature.
The main monitoring point of mine ventilation system airflow parameter is carried out to on-site measurement, obtain chart of frequency distribution, utilize DAS MATLAB to carry out matching to data, regulation in 3 σ principles and " safety regulations in coal mine " of comprehensive normal distribution is determined warning index value, in conjunction with example reality, determine warning index value, taking distinguished and admirable wind speed as example, frequency distribution histogram as shown in Figure 3, MATLAB data fitting result as shown in Figure 4, safety regulations in coal mine regulation is as shown in table 1, the scope of distinguished and admirable wind speed is [max (min, μ-3 σ), min (max, μ+3 σ)].In the time that crucial branch Sensor monitoring value exceedes early warning value and continues to exceed 5 second time, ground system is reported to the police, the corresponding measuring point alarm equipment alarm in down-hole.Auxiliary monitoring branch in system, as auxiliary measuring point, does not participate in early warning, but after early warning information is sent, measuring point monitor value can be used as supplementary, is convenient to staff and searches rapidly cause of destabilization and position.
Based on above-mentioned thought and method, the host language using Visual C++10.0 as system development, adopts OO method for designing, carries out the coding exploitation of program.Program has seven modules, two supplementary modules and five functional modules.Wherein, supplementary module comprises user management module, static information input module, and five functional modules comprise Ventilation Network Solution module, dynamic data monitor module, control report module, curvilinear figure generation module, blower fan on-line monitoring module.
Claims (5)
1. the dynamic monitoring of mine ventilation system subregion stable and an early warning system, is characterized in that, comprises down-hole information acquisition system, information management and analysis system, warning system; Wherein:
Described down-hole information acquisition system includes intelligent sensor and programmable logic controller;
Described information management and analysis system comprises main frame and is arranged on the control program on main frame;
Described warning system comprises aboveground alarm and down-hole alarm;
Described down-hole information acquisition system is for detection of the airflow parameter of each point position, and by a common transmission circuit, survey data is sent to controller, then cross switch teletransmission to terrestrial information management and analysis by this controller by another common transmission link tester;
Described information management and analysis system forms by being arranged on ground multiple host, control program is installed on each main frame respectively and is mutually unified into a LAN;
The control program of described information management and analysis system adopts the modularization programming design based on VC10.0++, and it comprises seven modules, and wherein, two is supplementary module, and another five is functional module;
Described supplementary module is respectively subscriber information management module and static information input module;
Described functional module is respectively Ventilation Network Solution module, dynamic data monitor module, managerial report module, curvilinear figure generation module, blower fan on-line monitoring module;
System account is divided into super caretaker, caretaker, three grades of accounts of operating personnel by described user management module; Wherein, all functions of super caretaker in can use system, caretaker can use all functions except subscriber information management module, and operating personnel only can use Ventilation Network Solution, managerial report, curve generation module; Super caretaker can operate all types of users, and caretaker can only operate the user of caretaker and operating personnel's type;
Described static information input module comprises the essential information input of each monitoring measuring point, and the interpolation of monitoring measuring point, amendment, deletion measuring point or four parts of resetting; Wherein, the input message of each measuring point comprises: measuring point numbering, measuring point title, point position, ventilation section, underground substation numbering, measuring point type, answer wind supply quantity, section overall with, section sagitta;
The essential information input operation of described each monitoring measuring point is: click and add measuring point button, automatically record current input measuring point data, if there is data input incomplete, point out user profile input incomplete, need to continue to add data, until information completely, data just can be preserved, and after the errorless automatic record of information, measuring point numbering is counted downwards automatically, the content of other data input frames is removed automatically, wait for user's input information, so circulation is down carried out, and completes until add all information; In observation process, can also carry out data modification according to on-site actual situations;
The method of described data modification is, selects the measuring point numbering that will revise in measuring point numbered positions, prime information deleted and re-entered new data in relative input information frame, clicks and revises measuring point, and the essential information of measuring point is revised; In the time that input pickup is numbered, the sensor information in the automatic seeking system of meeting, transmission information, to downhole sensor, guarantees that information feedback is errorless; Described dynamic monitoring data module is collected the airflow parameter information of down-hole information acquisition system Monitor Sub-Station of Less automatically, click corresponding measuring point numbering, right figure can be drawn out blast, wind speed, the temperature profile of current measuring point automatically, and at the automatic display parameters instantaneous value in window place, upper right side; Wherein, transient data monitoring in every 5 seconds once, if monitoring parameter instantaneous value exceedes early warning value and continues 5 second time, is automatically controlled respectively the corresponding measuring point alarm in ground alarm and down-hole and is reported to the police;
Described network resolves module and adopts the permanent Si Leifa of scott moral –, inputs fan condition dot information, the each branch resistance of ventilation network, solves the air quantity of each branch under natural ventilation pressure condition;
Described terrestrial information management and analysis is provided with early warning value, after it completes described down-hole information harvester information aggregation process, according to circumstances, start described warning system in good time and carry out ground early-warning or warning, and start the alarm that is arranged on down-hole correspondence position and report to the police.
2. mine ventilation system subregion stable dynamic monitoring according to claim 1 and early warning system, it is characterized in that, described down-hole information acquisition system includes intelligent sensor, and described intelligent sensor comprises wind pressure sensor, air velocity transducer, temperature pick up;
Between described intelligent sensor and described down-hole Information Monitoring system, be connected by M-BUS bus;
Described down-hole information acquisition system is connected to described information management and analysis system by RS-485 bus.
3. mine ventilation system subregion stable dynamic monitoring according to claim 1 and early warning system, it is characterized in that, described information management and analysis system is itinerant monitor system down-hole information acquisition system on the one hand, survey data is carried out to centralized calculation, processing, storage, respond at any time on the other hand the service request from LAN, if what receive is the arrange requirement of super caretaker to system, according to this requirement, Monitor Sub-Station of Less or intelligent sensor are carried out to relative set.
4. mine ventilation system subregion stable dynamic monitoring according to claim 1 and early warning system, is characterized in that, the installation site of described intelligent sensor is chosen successively in accordance with the following steps:
Step 1, draws Study on mine ventilation network graph, by mine ventilation system be divided into system layer, transport layer, with three grades of logical layers of wind point, and get rid of some use little less important wind places of using of air quantity of down-hole, mine ventilation system is divided into several independently regions;
Step 2, by above-mentioned each independently between region, connect associated tunnel together, typical getting working face, main fan place branch each other, as crucial branch, then classification is carried out in the tunnel of each isolated area scope inside, based on mine ventilation system sensitivity matrix equation analysis result, determine the degree of being affected of each branch, in regional extent, the branch of degree of being affected maximum is as auxiliary crucial branch;
Step 3, in down-hole, each crucial branch and each auxiliary crucial branch measuring point are set up Monitor Sub-Station of Less, and respectively air velocity transducer is installed, temperature pick up, wind pressure sensor and alarm.
5. mine ventilation system subregion stable dynamic monitoring according to claim 2 and early warning system, is characterized in that, described wind pressure sensor is the total temperature compensation OEM pressure sensor of SMI company of the U.S.; Described air velocity transducer is KGF3 type air velocity transducer; Described temperature pick up is the digital thermometer DS18B20 of DALLS company of the U.S..
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104978843A (en) * | 2015-06-25 | 2015-10-14 | 辽宁有色勘察研究院 | Tailings reservoir saturation line on-line monitoring point layout and zigbee networking structure |
| CN105205256A (en) * | 2015-09-21 | 2015-12-30 | 中国矿业大学 | Measuring point encoding method for mine ventilation resistance measurement |
| CN107016222A (en) * | 2017-06-02 | 2017-08-04 | 山东科技大学 | Deep level mine natural ventilation pressure emphasis influence area decision method |
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005050106A (en) * | 2003-07-28 | 2005-02-24 | Matsushita Electric Ind Co Ltd | Tunnel monitoring device |
| CN101644168A (en) * | 2009-05-31 | 2010-02-10 | 北京龙德时代科技发展有限公司 | Ventilation forecasting and early-warning system for mine |
| CN101645145A (en) * | 2009-05-31 | 2010-02-10 | 北京龙德时代科技发展有限公司 | Ventilation information management system for coal mine |
| CN201753611U (en) * | 2009-06-18 | 2011-03-02 | 洛阳智超机电科技有限公司 | Intelligent monitoring and controlling device for mine ventilation |
| CN202090956U (en) * | 2011-06-08 | 2011-12-28 | 顾菊芬 | Network system for monitoring underground ventilation state based on zigbee |
| CN202140117U (en) * | 2011-07-05 | 2012-02-08 | 开滦（集团）有限责任公司 | System for detecting, identifying, forecasting and early warning underground major hazard of coal mine |
| CN203035263U (en) * | 2013-01-17 | 2013-07-03 | 王冶 | Underground ventilation monitoring system |
| CN103603691A (en) * | 2013-11-28 | 2014-02-26 | 煤炭科学研究总院 | Mine ventilation dynamic resolving and analysis early warning method and system |
-
2014
- 2014-05-13 CN CN201410198952.9A patent/CN103953393B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005050106A (en) * | 2003-07-28 | 2005-02-24 | Matsushita Electric Ind Co Ltd | Tunnel monitoring device |
| CN101644168A (en) * | 2009-05-31 | 2010-02-10 | 北京龙德时代科技发展有限公司 | Ventilation forecasting and early-warning system for mine |
| CN101645145A (en) * | 2009-05-31 | 2010-02-10 | 北京龙德时代科技发展有限公司 | Ventilation information management system for coal mine |
| CN201753611U (en) * | 2009-06-18 | 2011-03-02 | 洛阳智超机电科技有限公司 | Intelligent monitoring and controlling device for mine ventilation |
| CN202090956U (en) * | 2011-06-08 | 2011-12-28 | 顾菊芬 | Network system for monitoring underground ventilation state based on zigbee |
| CN202140117U (en) * | 2011-07-05 | 2012-02-08 | 开滦（集团）有限责任公司 | System for detecting, identifying, forecasting and early warning underground major hazard of coal mine |
| CN203035263U (en) * | 2013-01-17 | 2013-07-03 | 王冶 | Underground ventilation monitoring system |
| CN103603691A (en) * | 2013-11-28 | 2014-02-26 | 煤炭科学研究总院 | Mine ventilation dynamic resolving and analysis early warning method and system |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104978843A (en) * | 2015-06-25 | 2015-10-14 | 辽宁有色勘察研究院 | Tailings reservoir saturation line on-line monitoring point layout and zigbee networking structure |
| CN105205256A (en) * | 2015-09-21 | 2015-12-30 | 中国矿业大学 | Measuring point encoding method for mine ventilation resistance measurement |
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