CN107956513A - One kind is used for safety of coal mines intelligence real-time early warning system - Google Patents
One kind is used for safety of coal mines intelligence real-time early warning system Download PDFInfo
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- CN107956513A CN107956513A CN201711248606.7A CN201711248606A CN107956513A CN 107956513 A CN107956513 A CN 107956513A CN 201711248606 A CN201711248606 A CN 201711248606A CN 107956513 A CN107956513 A CN 107956513A
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- 239000003245 coal Substances 0.000 title claims abstract description 34
- 230000005540 biological transmission Effects 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims abstract description 7
- 230000007246 mechanism Effects 0.000 claims abstract description 6
- 238000012545 processing Methods 0.000 claims abstract description 5
- 238000000605 extraction Methods 0.000 claims abstract description 4
- 230000003542 behavioural effect Effects 0.000 abstract description 3
- 238000004891 communication Methods 0.000 abstract description 2
- 238000004519 manufacturing process Methods 0.000 description 9
- 238000004458 analytical method Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 6
- 238000012544 monitoring process Methods 0.000 description 6
- 230000004927 fusion Effects 0.000 description 5
- 238000011156 evaluation Methods 0.000 description 4
- 238000012546 transfer Methods 0.000 description 4
- 238000005065 mining Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000000556 factor analysis Methods 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
Classifications
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
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- Engineering & Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Geology (AREA)
- Alarm Systems (AREA)
Abstract
One kind is used for safety of coal mines intelligence real-time early warning system, belong to Mine Communication technical field, it is characterized in the sensor group that can gather personnel in the pit's behavioural characteristic, subsurface environment feature, underground equipment operating status feature and mine disaster feature is installed in underworkings, the information of collection is transferred to the intelligent node in same tunnel equips;Intelligent node equip the information of reception is collected, is analyzed, measure with credible judgement, hazards are carried out with early warning and to underworkings and Jing Mian control centres transmission warning message;Jing Mian control centres are that the diversiform data information of reception is clustered, is merged and feature extraction processing, the aggregate establishing credible decision mechanism and decision method is loaded to embedded intelligent node equipment;Between Multiple Source Sensor group is equipped with intelligent node and intelligent node equipment is with being wired or wireless connect between Jing Mian control centres.Advantage is that collection in time is carried out to various features information in mine laneway, analyzes and judges, to dangerous information factor real-time early warning, effectively prevents the generation of underground coal mine accident.
Description
Technical field
The invention belongs to Mine Communication technical field, and in particular to one kind is used for safety of coal mines intelligence real-time early warning system
System.
Background technology
Coal resources are one of highly important resource in national economy, and the development and utilization of coal resources is very
Important work.But due to complex geologic conditions in coal mining, operating environment is severe, cause accident in coal production more.
In order to ensure coal mine downhole safety, monitoring device is mounted with mine.With Internet of Things, the hair of present information treatment technology
Exhibition, by building wired, wireless integral uniform transmission platform and mine distributed measurement network, can effectively supervise mineral products and open
Existing failure problems and hazard factor, scientific basis and technical support are provided for management of safe operation during adopting.
Passed however, the downhole data acquisition terminal in existing program is mainly responsible for monitoring collection down-hole information or data in real time
Defeated relay node, then using wired or wireless transmission mode, is transmitted to well face monitoring system by gathered data and carries out unification
Analysis and decision-making, finally realize the judgement of pre-warning signal.This reliability that will result directly in Sensor monitoring data is subject to underground
Complex environment and the influence transmitted at a distance, and the processing of monitoring data will also cause a degree of delay with analysis,
It is unfavorable for the accuracy and real-time of coal mining accident early warning.
The content of the invention
It is an object of the present invention to provide one kind to be used for safety of coal mines intelligence real-time early warning system, can effectively implement to coal mine
Quick Acquisition, the Realtime Alerts of lower information, the accident for preventing underground coal mine occur.
The present invention is achieved in that as shown in Figure 1, being separately mounted to n coal mine down-hole tunnel it is characterized in that including
Working face the 1st, the 2nd ... the n-th Multiple Source Sensor group S1、S2、…SnRespectively with the 1st, the the 2nd ... n-th Multiple Source Sensor group S1、
S2、…SnBy wired or wireless transmission mode be connected the 1st, the 2nd ... the n-th downhole intelligent node equipment T1、T2、…TnWith
And equip T with the 1st, the the 2nd ... n-th intelligent node1、T2、…TnControl in the coal mine face being connected by wired or wireless transmission mode
Center W processed.
Described 1st, the 2nd ... the n-th Multiple Source Sensor group S1、S2、…SnInclude respectively to personnel in the pit's behavioural characteristic, well
Lower environmental characteristic, underground equipment operating status feature and mine disaster feature etc. have the sensors A of acquisition functioni、Bi、
Ri, wherein i=1,2 ... n.Described 1st, the the 2nd ... n-th intelligent node equipment T1、T2、…TnIt is the letter having respectively to being received
Breath is collected, analyzes, measuring with credible judgement, to hazards progress early warning and to underworkings and Jing Mian control centres
Send the programmable hardware equipment of alarm;The coal mine face control centre W is the diversiform data information progress to reception
Cluster, fusion and feature extraction processing, establish credible decision mechanism and decision method loaded embedded intelligent node equipment
Aggregate, wherein n, i are positive integer.
The advantages and positive effects of the present invention are:
1. by real-time collection of the Multiple Source Sensor group in underworkings to diversiform data information in tunnel, and
It is sent to intelligent node progress analysis in time, measurement and judgement, quick response and sends early warning, both effectively shortens data transfer
Distance, lifts the reliability of data transfer, and the data transmission delay and processing delay reduced, realizes in underground work in face of adopting
Collect the efficient process of data and quick early warning analysis, can effectively prevent the generation of underground coal mine accident.
2. coal mine face control centre is determined to the hazards in coal production by the pretreatment to gathered data
Safety evaluation, and establish on this basis downhole safety production credible decision mechanism, realize to downhole intelligent node can
Believe base parameter configuration.It can be established according to underground gathered data situation and be adapted prediction and warning analysis model in practical application, it is full
The demand of sufficient varying environment, equipment and personnel's situation.
Brief description of the drawings
Fig. 1 is schematic structural view of the invention.
In figure, S1, S2、…Sn--- the 1st, the 2nd ... the n-th Multiple Source Sensor group,
Ai、Bi、Ri——SiIn sensor group gather different characteristic information sensor, wherein i=1,2 ... n.
T1、T2、…Tn--- the 1st, the 2nd ... the n-th downhole intelligent node equipment.
W --- coal mine face control centre.
N, i is positive integer.
Embodiment
As shown in Figure 1, it is separately mounted to underground coal mine the 1st, the 1st, the the 2nd ... n-th multi-source in the the 2nd ... n-th tunnel passes
Sensor group S1、S2、…SnInclude being used for the sensors A for extracting different types of data information respectivelyi、Bi、Ri, wherein i=1,2 ... n.
1st, the the 2nd ... n-th Multiple Source Sensor group S1、S2、…SnBy wired or wireless transmission mode with the 1st, the 2nd ... the n-th underground intelligence
Can node equipment T1、T2、…TnIt is connected.1st, the 2nd ... the n-th intelligent node equip T1、T2、…TnPass through wired or wireless biography
Defeated mode is connected with coal mine face control centre W.
1. work, installed in the 1st in coal mine down-hole tunnel, the 2nd ... the n-th Multiple Source Sensor group S1、S2、…SnProfit
With the sensors A with difference in functionalityi、Bi、RiBeing respectively used to collection influences environment, personnel and the equipment of Safety of Coal Mine Production
All kinds of real time data information such as situation, the information of collection include:Personnel in the pit's behavioural characteristic data, subsurface environment characteristic,
Equipment health status characteristic and mine disaster characteristic.According to the feature of Multiple Source Sensor gathered data, selection profit
With wire transmission or wireless transmission method, by data information transfer to the 1st be distributed in each tunnel, the 2nd ... the n-th underground intelligence
Can node equipment T1、T2、…Tn。
2. it is distributed in the 1st in each tunnel, the the 2nd ... n-th downhole intelligent node equipment T1、T2、…TnIt is more by what is be collected into
Source sensing data utilizes wire transmission or wireless transmission to coal mine face control centre W.In being controlled by coal mine face
Heart W is based on big data analysis technology and decision data layer integration technology to coming from the multi-sensor monitoring information in different tunnels
Clustered and fusion treatment, safety evaluation of the cooperative achievement to the hazards in coal production.By to multimode isomery number
According to feature extraction, realize the Decision fusion of information, structure influences " breaking one's promise " factor analysis mould of underground coal mine failure and disaster
Type and " breaking one's promise " index system, and the credible decision mechanism of downhole safety production is established on this basis, it is raw as evaluation safety
The judgement foundation of production.The measure of trust computing is embedded in lane by Jing Mian control centres using wire transmission or wireless transmission method
The the 1st, the the 2nd ... n-th downhole intelligent node equipment T in road1、T2、…Tn, realize the Remote configuration of credible base parameter.
3. hereafter, the 1st, the the 2nd ... n-th Multiple Source Sensor group S1、S2、…SnBy the data transfer in each tunnel collected extremely
Be distributed in each tunnel the 1st, the 2nd ... the n-th downhole intelligent node equipment T1、T2、…Tn, data message is no longer transmitted to well face
Control centre is handled and is analyzed, and the multisource data fusion of collection is handled by intelligent node equipment, analyzes Various types of data
Feature vector, by the trusted mechanism of preloading, completes the metric analysis to the secure and trusted state of gathered data, realizes safety prison
Control and the target of fault pre-alarming.
4. when underground the 1st, the 2nd ... the n-th downhole intelligent node equipment T1、T2、…TnFor the credible of real-time data collection
Calculation Estimation result is unsatisfactory for preloading trusted status requirement, and the warning circuit in being equipped using intelligent node is sent out to underworkings
Go out pre-warning signal, and warning message is reported into Jing Mian control centres W by wired or wireless transmission mode, rung by control centre
It should investigate or solve security risk and disaster scenarios it.
The invention analyzes the multimode isomery number of collection by multisensor Data Fusion technology and big data treatment technology
According to safety evaluation of the cooperative achievement to the hazards in coal production, builds " breaking one's promise " Factor Model, be mine safety
Situation provides more scientific assessment.Reliable collection and the transmission problem of monitoring data are solved using downhole intelligent node, and can be dropped
Low detection process delay, realizes the quick dynamic early-warning to underground failure and disaster, effectively lifts the safety guarantee of mining production.
Claims (1)
1. one kind is used for safety of coal mines intelligence real-time early warning system, n underground coal mine lane is separately mounted to it is characterized in that including
1st, the the 2nd ... n-th Multiple Source Sensor group (S of road working face1、S2、…Sn) respectively with the 1st, the the 2nd ... n-th Multiple Source Sensor group
(S1、S2、…Sn) the 1st, the the 2nd ... the n-th downhole intelligent node equipment (T that is connected by wired or wireless transmission mode1、T2、…
Tn) and with the 1st, the the 2nd ... n-th intelligent node equip (T1、T2、…Tn) coal that is connected by wired or wireless transmission mode
Mine face control centre W, the described 1st, the the 2nd ... n-th Multiple Source Sensor group (S1、S2、…Sn) include respectively to personnel in the pit's row
It is characterized, subsurface environment feature, underground equipment operating status feature and mine disaster feature etc. have the sensing of acquisition function
Device (Ai、Bi、Ri) wherein i=1,2 ... n;Described 1st, the the 2nd ... n-th intelligent node equipment (T1、T2、…Tn) be respectively have pair
The information received is collected, analyzes, measuring with credible judgement, to hazards progress early warning and to underworkings and well
Face control centre sends the programmable hardware equipment of alarm;The coal mine face control centre (W) is the polymorphic type to reception
Data message clustered, is merged and feature extraction processing, is established credible decision mechanism and decision method is loaded embedded intelligence
The aggregate of energy node equipment, wherein n, i is positive integer.
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CN201711248606.7A CN107956513A (en) | 2017-12-01 | 2017-12-01 | One kind is used for safety of coal mines intelligence real-time early warning system |
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CN201711248606.7A CN107956513A (en) | 2017-12-01 | 2017-12-01 | One kind is used for safety of coal mines intelligence real-time early warning system |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109345128A (en) * | 2018-10-11 | 2019-02-15 | 上海应用技术大学 | Gas hidden danger big data analysis method and system |
CN113449959A (en) * | 2021-05-13 | 2021-09-28 | 陕西陕煤黄陵矿业有限公司 | Mine personnel behavior governance system and platform |
CN114673558A (en) * | 2022-04-12 | 2022-06-28 | 中国矿业大学 | Coal mine driving face risk identification and intelligent pre-control system and method |
Citations (4)
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US20120008542A1 (en) * | 2009-03-20 | 2012-01-12 | Luke Koleszar | Distributed Ad Hoc Mesh Network Protocol for Underground Mine and Hazardous Area Communications |
US20150179044A1 (en) * | 2013-12-20 | 2015-06-25 | Massachusetts Institute Of Technology | Wireless Communication Systems for Underground Pipe Inspection |
CN105781618A (en) * | 2016-03-15 | 2016-07-20 | 华洋通信科技股份有限公司 | Coal mine safety integrated monitoring system based on Internet of Things |
CN106958457A (en) * | 2016-01-08 | 2017-07-18 | 深圳市华威世纪科技股份有限公司 | A kind of Internet of Things Coal Mine Monitoring System |
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2017
- 2017-12-01 CN CN201711248606.7A patent/CN107956513A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120008542A1 (en) * | 2009-03-20 | 2012-01-12 | Luke Koleszar | Distributed Ad Hoc Mesh Network Protocol for Underground Mine and Hazardous Area Communications |
US20150179044A1 (en) * | 2013-12-20 | 2015-06-25 | Massachusetts Institute Of Technology | Wireless Communication Systems for Underground Pipe Inspection |
CN106958457A (en) * | 2016-01-08 | 2017-07-18 | 深圳市华威世纪科技股份有限公司 | A kind of Internet of Things Coal Mine Monitoring System |
CN105781618A (en) * | 2016-03-15 | 2016-07-20 | 华洋通信科技股份有限公司 | Coal mine safety integrated monitoring system based on Internet of Things |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109345128A (en) * | 2018-10-11 | 2019-02-15 | 上海应用技术大学 | Gas hidden danger big data analysis method and system |
CN113449959A (en) * | 2021-05-13 | 2021-09-28 | 陕西陕煤黄陵矿业有限公司 | Mine personnel behavior governance system and platform |
CN114673558A (en) * | 2022-04-12 | 2022-06-28 | 中国矿业大学 | Coal mine driving face risk identification and intelligent pre-control system and method |
CN114673558B (en) * | 2022-04-12 | 2023-01-31 | 中国矿业大学 | Coal mine driving face risk identification and intelligent pre-control system and method |
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Application publication date: 20180424 |