CN108457699A - Driving face floods alarm system based on infrared image - Google Patents
Driving face floods alarm system based on infrared image Download PDFInfo
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- CN108457699A CN108457699A CN201810213290.6A CN201810213290A CN108457699A CN 108457699 A CN108457699 A CN 108457699A CN 201810213290 A CN201810213290 A CN 201810213290A CN 108457699 A CN108457699 A CN 108457699A
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- 238000006424 Flood reaction Methods 0.000 title claims abstract description 93
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 87
- 238000012544 monitoring process Methods 0.000 claims abstract description 53
- 230000002159 abnormal effect Effects 0.000 claims abstract description 12
- 238000011161 development Methods 0.000 claims description 16
- 238000009434 installation Methods 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 8
- 229910052500 inorganic mineral Inorganic materials 0.000 claims description 2
- 239000011707 mineral Substances 0.000 claims description 2
- 239000003245 coal Substances 0.000 abstract description 9
- 230000005856 abnormality Effects 0.000 abstract 1
- 238000003860 storage Methods 0.000 description 17
- 238000010586 diagram Methods 0.000 description 5
- 238000009825 accumulation Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 206010033799 Paralysis Diseases 0.000 description 1
- 208000004350 Strabismus Diseases 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000009172 bursting Effects 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 230000034994 death Effects 0.000 description 1
- 231100000517 death Toxicity 0.000 description 1
- 238000003331 infrared imaging Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
- 231100000331 toxic Toxicity 0.000 description 1
- 230000002588 toxic effect Effects 0.000 description 1
- 230000005641 tunneling Effects 0.000 description 1
- 238000002604 ultrasonography Methods 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
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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)
- Emergency Alarm Devices (AREA)
- Alarm Systems (AREA)
Abstract
The driving face floods alarm system based on infrared image that the invention discloses a kind of, the alarm system acquires the infrared picture data of driving face by infrared image acquiring equipment, acquisition simultaneously and the relevant water level of floods, hydrographic data, and the data to being acquired are monitored in real time, when monitoring that abnormal water burst and water level abnormality occurs in driving face by infrared picture data, and reference level, hydrographic data are abnormal, send out floods early warning or alarm signal.The alarm system has fully considered the characteristic feature of driving face in coal mine floods, implements simply, to take corresponding measure in time automatically, can alarm at the first time coal mine evacuation working face gushing water, strives for the valuable disaster relief and escape time for underground operators.
Description
Technical field
The driving face floods alarm system based on infrared image that the present invention relates to a kind of, the system are related to infrared imaging
The fields such as technology, digital image processing techniques and sensor technology.
Background technology
Coal is China's main energy sources, accounts for about primary energy 70%.Coal industry is high risk industries, gas, floods, fire
The accidents such as calamity, top plate annoying Safety of Coal Mine Production.After floods accident occurs for mine, harm includes：
1, it destroys by rush of water tunnel, pile things on floods and block personnel.
2, with gushing water, a large amount of coal slime and rock siltation tunnel is had, difficulty is caused to personnel escape.
3, equipment is damaged.Underground electric appliance, after cable is immersed in water, insulating capacity declines rapidly, to the transporting of underground, leads to
Wind, draining etc. cause difficulty, make the probability reduction of surviving for not fleeing from personnel in time.
4, gush out a large amount of toxic and harmful gas, the life condition environment for not fleeing from personnel in time is made more to deteriorate.
Mine water disaster can cause a large amount of casualties, be one of coal mine severe and great casualty.Mine water disaster early warning and alarm
It is the effective measures for reducing mine water disaster accident casualties.Floods early warning at present is with hydrology detection prevention, underground for probing water, tendency
Based on phenomenon observation etc..The hydrology detects and underground for probing water can prevent underground floods accident, but since hydrologic regime is complicated, designs not
When, take effective measures, manage improperly and the thought of people paralysis etc. reasons, the hydrology detection and underground for probing water can not entirely prevent gushing water
Generation, can not alarm the underground gushing water of burst.For the observation of tendency phenomenon taking human as based on micro-judgment, there are larger
Subjective factor.At present for water bursting in mine accident, the artificial alarm of Field Force is relied primarily on, but when gushing water causes live people
Member's injures and deaths or Field Force flee from and fail initiative alarming hastily, and control room, which just can not timely obtain, has occurred gushing water
Information can not notify other operating personnels of underground in time, so that cannot in time take emergency measures to water inrush accident, easily cause
Water damage is out of control and casualties.Driving face is the easy region that floods occur.Mine property caused by effectively reduce floods
Loss and mass casualties, need new underground driving face floods alarm method, can be at the first time to underground heading driver
Make face gushing water to alarm, strives for valuable escape and disaster relief time for other underground operators not at gushing water scene.
Invention content
Present invention aims at a kind of driving face floods alarm system based on infrared image is provided, in headwork
At least one infrared image acquiring equipment is installed in face, the infrared picture data for acquiring driving face；Infrared image acquisition is set
Standby installation direction includes being directed toward driving face direction of propulsion, being directed toward driving face bottom plate；System monitoring identifies infrared image
Data, while monitoring mine tunnel ponding height, water bunker level, hydrographic data；When system monitoring to driving face gushes extremely
Water, driving face ponding height, driving face ponding height growth speed, mine laneway ponding height, water bunker level, water
Literary data exception meets setting condition, then sends out the early warning of driving face floods or alarm signal.System monitoring process include with
Lower step：
A. when monitoring that driving face ponding height is more than given threshold H by infrared picture data1, then floods are sent out
Alarm signal；
B. when monitoring that driving face ponding height is more than given threshold H by infrared picture data2, then record is current
Driving face ponding height HM, while entering floods alert status, and send out floods pre-warning signal, be performed simultaneously step d and
Step e；Wherein H2＜ H1；
C. when monitoring that abnormal water burst occurs in driving face by infrared picture data, then current driving face is recorded
Ponding height HM, while entering floods alert status, and floods pre-warning signal is sent out, it is performed simultaneously step d and step e；
D. after entering floods alert status, when the increasing for monitoring driving face ponding height H by infrared picture data
Long speedMore than given threshold N1, then floods alarm signal is sent out；Wherein TNTo monitor interval time；
E. monitoring mine tunnel ponding height, water bunker level, hydrographic data simultaneously, when monitoring that mine laneway ponding is high
Degree, water bunker level or hydrographic data data exception, and system enters floods alert status, then sends out floods alarm signal.
1. the floods alarm system further comprises：The method of discrimination of the driving face exception water burst includes, when
Occurs abnormal area in system monitoring to infrared image, which meets connected pixel point of the gray value less than given threshold L
Number M is more than given threshold M1, then it is M to record current M valuesN, continue to monitor；In the time T of setting1The interior region meets gray scale
The number M of connected pixel point of the value less than given threshold L is more than given threshold M2, or in the time T of setting2The interior area grayscale
The number M Magnifications of connected pixel point of the value less than given threshold LMore than given threshold N2, send out driving face
Abnormal water burst signal；Wherein M2＞ M1。
2. the floods alarm system further comprises：Light filling equipment is installed in the driving face.
3. the floods alarm system further comprises：The mine laneway ponding Height Anomalies include mine laneway ponding
Height is more than given threshold or mine laneway ponding rise speed is more than given threshold.
4. the floods alarm system further comprises：The water bunker level data exception includes that water bunker level is more than setting
Threshold value or water bunker level rise speed be more than setting threshold value.
5. the floods alarm system further comprises：The mineral hydrological data exception include hydrological observation wells water level or
Threshold value of the water temperature variation more than setting.
6. the floods alarm system further comprises：Infrared image acquiring equipment installation site includes development machine.
7. the floods alarm system further comprises：System includes to the recognition methods of driving face ponding height,
Driving face ponding height is obtained by the identification of fixed signal in infrared image and ponding water surface site.
8. the floods alarm system further comprises：System includes to the recognition methods of driving face ponding height,
By identifying, water surface area obtains driving face ponding height in infrared image.
9. the floods alarm system further comprises：System connects development machine control device, acquires and monitors development machine
Position and operating state data, for excluding interference of the development machine movement to monitoring data.
10. the floods alarm system further comprises：System connects personnel and equipment positioning system, acquires and monitors people
Member and underground equipment position data, for excluding the interference of personnel or underground equipment movement to monitoring data.
11. the floods alarm system further comprises：The infrared image acquiring equipment includes short-wave infrared video camera,
System differentiates the position of water by the low gray-scale pixels monitored in infrared picture data.
Description of the drawings
Driving face floods alarm system embodiment 1 schematic diagrames of the Fig. 1 based on infrared image.
Driving face floods alarm system embodiment 2 schematic diagrames of the Fig. 2 based on infrared image.
Fig. 3 driving face thermal cameras install schematic top plan view.
Fig. 4 driving face thermal cameras installation strabismus schematic diagram.
Fig. 5 driving face floods monitoring and warnings and alarm flow schematic diagram.
Fig. 6 driving face water bursts monitor flow diagram.
Specific implementation mode
Fig. 1 is the implementation example 1 of the driving face floods alarm system based on infrared image, and main composition includes：
1. it is red to be responsible for the one or more that monitoring is forwarded by storage server (102) for floods monitoring, alarming server (101)
The infrared picture data and driving machine controller (107), tunnel water level sensor (108), sump water of outer video camera (106) acquisition
The data that level sensor (109), positioning substation (110), Hydrological Data Acquisition device (112) acquire, when data value or data become
Change meets alert if, then sends out floods early warning or alarm signal to monitor terminal (103) and storage server (102).It can be right
Multiple driving faces are monitored.
2. storage server (102), responsible acquisition receives and stores the infrared picture data of thermal camera (106) acquisition
With by driving machine controller (107), tunnel water level sensor (108), water bunker level sensor (109), positioning substation (110),
The data of Hydrological Data Acquisition device (112) acquisition, and forward data to floods monitoring, alarming server (101)；It receives and deposits
The floods early warning or alarm signal data that water storage calamity monitoring, alarming server (101) is sent；The reality provided to monitor terminal (103)
When and the inquiry of historical data service.
3. monitor terminal (103) is responsible for providing the display service of downhole monitoring data, be provided by storage server (102) real
When and historical data, receive the floods early warning sent out by floods monitoring, alarming server (102) or alarm signal, there is acousto-optic report
Alert function；Production management personnel can transfer inquiry by the historical data that monitor terminal stores storage server (101).
4. core switch (104), the hard core control and switching equipment of data network are responsible for all access data networks
The management of equipment and data exchange.
5. underground interchanger (105), the underground switching equipment of data network, looped network mode connect.
6. thermal camera (106), underground interchanger (105) is connected by network interface, by data network to storage
Server (102) sends infrared picture data video flowing, using the thermal camera with network interface.
7. tunneling machine controller (107), the control device of development machine generally uses programmable controller, is connect by network
Mouth connection underground interchanger (105) sends development machine relative position, cutting units by data network to storage server (102)
The status datas such as angle, operating status, spraying state.
8. tunnel water level sensor (108) acquires the waterlevel data in tunnel, underground interchanger is connected by network interface
(105), tunnel waterlevel data is sent to storage server (102) by data network.
9. water bunker level sensor (109) acquires for water bunker level, all kinds of mining floodometers can be used, including
Floating-type or ultrasonic type measuring instrument should meet underground coal mine correlation intrinsic safety or flame proof standard, underground connected by network interface
Interchanger (105) sends water bunker level data by data network to storage server (102).The present embodiment is using ultrasound
Waves measuring instrument obtains sump liquid level by ultrasonic ranging principle.
10. positioning substation (110), it is responsible for providing cordless communication network access clothes to positioning card and other wireless telecom equipments
Business, and the reference location node as positioning device provides positioning service for it, and underground interchanger is connected by network interface
(105), the position data of personnel in the pit and equipment are sent to storage server (102).
11. positioning card (111), system is used to monitor the position of personnel in the pit and equipment, is realized by positioning substation (111)
Positioning and wireless communication.
12. Hydrological Data Acquisition device (112), the water level being used in hydrological observation wells and water temperature data monitoring acquisition, institute
Gathered data passes through mobile data network and the Internet transmission to storage server (102).
Fig. 2 is the implementation example 2 of the driving face floods alarm system based on infrared image, with the area for implementing example 1
It is not that floods monitoring, alarming server (101) is mounted on underground, directly receives the infrared image that thermal camera (106) is sent
Data, the storage of storage server (102) not responsible infrared picture data forward and transfer service.Floods monitoring, alarming service
Device (101) can be monitored multiple driving faces if any enough processing capacities.
Driving face thermal camera installation site includes with reference to figure 3 and Fig. 4, installation site：
1. (301) being mounted on development machine side, it is directed toward driving face direction of propulsion, acquisition includes driving face coal
The subregion infrared image of wall, bottom plate.
2. (302) being mounted on the side of development machine, acquisition includes that driving face tunnel side wall, the subregion of bottom plate are red
Outer image.
It is above installation site and camera direction example, tunnel top and side wall is also mountable to, with driving face
It promotes and constantly adjusts position, installation and debugging can be carried out according to on-site actual situations when specific implementation.
Floods monitoring and warning and the alarm flow of the floods alarm system are as shown in figure 5, include mainly：
1. (501) floods monitoring, alarming server (101) is acquired according to driving machine controller (107), positioning card (111)
The data such as development machine, underground work personnel positions, the interference of development machine, personnel to infrared picture data is excluded, to infrared figure
As data are identified to obtain driving face water accumulation level, whether judgement driving face water accumulation level is more than given threshold
H1, if it exceeds then executing (509), otherwise execute (502).
2. (502) floods monitoring, alarming server (101) exclude development machine, personnel to infrared image according to gathered data
The interference of data is identified infrared picture data to obtain driving face water accumulation level, judges headwork pattern flood
Whether position is more than given threshold H2, if it exceeds then executing (504), otherwise execute (503).
3. (503) floods monitoring, alarming server (101) excludes development machine, personnel to infrared image according to gathered data
The interference of data, is identified infrared picture data, differentiates whether driving face has abnormal water burst, if there is abnormal water burst
(504) are then executed, otherwise return to (501).
4. (504) floods monitoring, alarming server (101) records current driving face ponding height HM, pre- into floods
Alert state, and send floods pre-warning signal to storage server (102) and monitor terminal (103).
5. (505) floods monitoring, alarming server (101) excludes development machine, personnel to infrared image according to gathered data
The interference of data is identified infrared picture data to obtain driving face water accumulation level, and poll monitors headwork area
The growth rate of water height HWhether it is more than given threshold N1, if it exceeds then executing (509), otherwise execute (506).
6. (506) floods monitoring, alarming server (101) and meanwhile monitor tunnel water level sensor (108) acquisition tunnel water
Position data, whether judgement tunnel water level is more than given threshold, if it exceeds then executing (509), otherwise executes (507).
7. (507) floods monitoring, alarming server (101) and meanwhile monitor water bunker level sensor (109) acquisition sump water
Position data, whether judgement water bunker level is more than given threshold, if it exceeds then executing (509), otherwise executes (508).
8. (508) floods monitoring, alarming server (101) and meanwhile monitor Hydrological Data Acquisition device acquisition hydrological observation
Hole water level or water temperature data, judge whether water level or water temperature variation are more than the threshold value of setting, if it exceeds (509) are then executed, it is no
It then returns (501).
9. (509) floods monitoring, alarming server (101) to send out monitor terminal (102) and storage server (102) hair
Go out floods alarm signal.
The driving face water burst of the floods alarm system monitors flow as shown in fig. 6, including mainly：
1. (601) the infrared image number that floods monitoring, alarming server (101) poll monitoring thermal camera (106) acquires
According to the interior infrared picture data that draws the line that the thermal camera of position (301) is acquired being particularly wall-mounted on, if the model
The interior abnormal low gray level areas for satisfaction occur and imposing a condition is enclosed, then executes (602), otherwise returns and continue to monitor.
2. (602) floods monitoring, alarming server (101) statistics abnormal area meets the company that gray value is less than given threshold L
The number M of logical pixel, if M is more than given threshold M1, then it is M to record current M valuesN, execute (603), otherwise return to (601).
3. (603) floods monitoring, alarming server (101) continue count abnormal area meet gray value be less than given threshold L
Connected pixel point number M, if M is more than given threshold M2, then (605) are executed, otherwise execute (604).
4. (604) time T of the floods monitoring, alarming server (101) in setting2It is low that interior poll counts the area grayscale value
In the number M of the connected pixel point of given threshold L, such as M MagnificationsMore than given threshold N2, then it executes (605), it is no
It then returns (601).
5. (605) floods monitoring, alarming server (101) to send out monitor terminal (102) and storage server (102) hair
Go out driving face exception water burst signal.
Claims (13)
1. the driving face floods alarm system based on infrared image, it is characterised in that：At least one is installed in driving face
Infrared image acquiring equipment, the infrared picture data for acquiring driving face；Infrared image acquiring equipment installation direction packet
It includes and is directed toward driving face direction of propulsion, is directed toward driving face bottom plate；System monitoring identifies infrared picture data, monitors simultaneously
Mine laneway ponding height, water bunker level, hydrographic data；When system monitoring to driving face exception water burst, driving face
Ponding height, driving face ponding height growth speed, mine laneway ponding height, water bunker level, hydrographic data accord with extremely
It closes and imposes a condition, then send out the early warning of driving face floods or alarm signal.
2. floods alarm system as described in claim 1, it is characterised in that：System monitoring process includes the following steps：
A. when monitoring that driving face ponding height is more than given threshold H by infrared picture data1, then floods alarm is sent out
Signal；
B. when monitoring that driving face ponding height is more than given threshold H by infrared picture data2, then record is current tunnels
Working face ponding height HM, while entering floods alert status, and floods pre-warning signal is sent out, it is performed simultaneously step d and step
e；Wherein H2＜ H1；
C. when monitoring that abnormal water burst occurs in driving face by infrared picture data, then current driving face ponding is recorded
Height HM, while entering floods alert status, and floods pre-warning signal is sent out, it is performed simultaneously step d and step e；
D. after entering floods alert status, when the growth speed for monitoring driving face ponding height H by infrared picture data
DegreeMore than given threshold N1, then floods alarm signal is sent out；Wherein TNTo monitor interval time；
E. monitoring mine tunnel ponding height, water bunker level, hydrographic data simultaneously, when monitoring mine laneway ponding height, water
Storehouse water level or hydrographic data data exception, and system enters floods alert status, then sends out floods alarm signal.
3. floods alarm system as described in claim 1, it is characterised in that：The method of discrimination of the driving face exception water burst
Including when occurring abnormal area in system monitoring to infrared image, which meets the connection picture that gray value is less than given threshold L
The number M of vegetarian refreshments is more than given threshold M1, then it is M to record current M valuesN, continue to monitor；In the time T of setting1The interior region is full
The number M of connected pixel point of the sufficient gray value less than given threshold L is more than given threshold M2, or in the time T of setting2The areas Nei Gai
The number M Magnifications of connected pixel point of the domain gray value less than given threshold LMore than given threshold N2, send out driving
Working face exception water burst signal；Wherein M2＞ M1。
4. floods alarm system as described in claim 1, it is characterised in that：Light filling equipment is installed in the driving face.
5. floods alarm system as described in claim 1, it is characterised in that：The mine laneway ponding Height Anomalies include mine
Tunnel ponding height is more than given threshold or mine laneway ponding rise speed is more than given threshold.
6. floods alarm system as described in claim 1, it is characterised in that：The water bunker level data exception includes water bunker level
Threshold value or water bunker level rise speed more than setting are more than the threshold value of setting.
7. floods alarm system as described in claim 1, it is characterised in that：The mineral hydrological data exception includes hydrological observation
Hole water level or water temperature variation are more than the threshold value set.
8. floods alarm system as described in claim 1, it is characterised in that：Infrared image acquiring equipment installation site includes driving
Machine.
9. floods alarm system as described in claim 1, it is characterised in that：Identification side of the system to driving face ponding height
Method includes obtaining driving face ponding height by the identification of fixed signal in infrared image and ponding water surface site.
10. floods alarm system as described in claim 1, it is characterised in that：Identification of the system to driving face ponding height
Method includes that water surface area obtains driving face ponding height in infrared image by identifying.
11. floods alarm system as described in claim 1, it is characterised in that：System connects development machine control device, acquires and supervises
Development machine position and operating state data are surveyed, for excluding interference of the development machine movement to monitoring data.
12. floods alarm system as described in claim 1, it is characterised in that：System connects personnel and equipment positioning system, acquisition
And monitoring personnel and underground equipment position data, for excluding personnel or underground equipment moves interference to monitoring data.
13. floods alarm system as described in claim 1, it is characterised in that：The infrared image acquiring equipment includes that shortwave is red
Outer video camera, system differentiate the position of water by the low gray-scale pixels monitored in infrared picture data.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810213290.6A CN108457699B (en) | 2018-03-15 | 2018-03-15 | Tunneling working face flood alarm system based on infrared images |
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| CN201810213290.6A CN108457699B (en) | 2018-03-15 | 2018-03-15 | Tunneling working face flood alarm system based on infrared images |
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| CN108457699B CN108457699B (en) | 2023-04-18 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110067599A (en) * | 2019-05-13 | 2019-07-30 | 中国矿业大学(北京) | Mine water disaster based on image perceives method for early warning |
| CN112796838A (en) * | 2021-03-30 | 2021-05-14 | 中国矿业大学(北京) | Mine flood alarm system based on full mine data fusion |
| CN113236358A (en) * | 2021-04-24 | 2021-08-10 | 中国煤炭科工集团太原研究院有限公司 | Automatic drainage robot for mine |
Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1472422A (en) * | 2003-07-10 | 2004-02-04 | 太原理工大学 | Method for monitoring and predictnig mine water |
| EP1548677A1 (en) * | 2003-12-22 | 2005-06-29 | Wagner Sicherheitssysteme GmbH | Fire detection method and fire detection apparatus |
| CN102495428A (en) * | 2011-12-12 | 2012-06-13 | 山东大学 | Resistivity real-time imaging monitoring method and system for water-bursting geological disaster in construction period of underground engineering |
| CN103334794A (en) * | 2013-07-16 | 2013-10-02 | 安徽恒源煤电股份有限公司 | Hydrologic monitoring system for coal mine |
| CN203383854U (en) * | 2013-07-30 | 2014-01-08 | 西南交通大学 | Buffering system for solving problem of tunnel local sudden water burst |
| CN103912311A (en) * | 2014-03-11 | 2014-07-09 | 北京华安奥特科技有限公司 | Mine infrared aqueous detecting and water inrush warning method |
| CN204024711U (en) * | 2014-04-30 | 2014-12-17 | 湖南山源安自控***有限公司 | Mine sump inflow on-Line Monitor Device |
| CN104696010A (en) * | 2015-03-20 | 2015-06-10 | 青岛理工大学 | Comprehensive treatment method for mine water inrush |
| CN105422181A (en) * | 2016-01-04 | 2016-03-23 | 中国矿业大学(北京) | Underground flood alarming method based on image and flood monitoring |
| CN105422180A (en) * | 2016-01-04 | 2016-03-23 | 中国矿业大学(北京) | Underground flood alarm system based on image and water inflow monitoring device |
| CN105464706A (en) * | 2016-01-04 | 2016-04-06 | 中国矿业大学(北京) | Downhole flood alarm system based on image and flood monitoring device |
| CN105484801A (en) * | 2016-01-04 | 2016-04-13 | 中国矿业大学(北京) | Underground flood alarm method based on image and water inflow monitoring |
| CN105484799A (en) * | 2016-01-04 | 2016-04-13 | 中国矿业大学(北京) | Underground flood alarm method based on image and water sump monitoring |
| CN105484797A (en) * | 2016-01-04 | 2016-04-13 | 中国矿业大学(北京) | Underground flood alarm system based on image and coal cutter monitoring equipment |
| CN105484798A (en) * | 2016-01-04 | 2016-04-13 | 中国矿业大学(北京) | Underground flood alarm method based on temperature, humidity and image monitoring |
| CN105547602A (en) * | 2015-11-04 | 2016-05-04 | 上海大学 | Subway tunnel segment leakage water remote measurement method |
| CN105569732A (en) * | 2016-01-04 | 2016-05-11 | 中国矿业大学(北京) | Coal mine water hazard alarm method based on image and hydrologic data monitoring |
| CN105569733A (en) * | 2016-01-04 | 2016-05-11 | 中国矿业大学(北京) | Underground coal mine tunneling working surface water hazard alarm method based on images |
-
2018
- 2018-03-15 CN CN201810213290.6A patent/CN108457699B/en active Active
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1472422A (en) * | 2003-07-10 | 2004-02-04 | 太原理工大学 | Method for monitoring and predictnig mine water |
| EP1548677A1 (en) * | 2003-12-22 | 2005-06-29 | Wagner Sicherheitssysteme GmbH | Fire detection method and fire detection apparatus |
| CN102495428A (en) * | 2011-12-12 | 2012-06-13 | 山东大学 | Resistivity real-time imaging monitoring method and system for water-bursting geological disaster in construction period of underground engineering |
| CN103334794A (en) * | 2013-07-16 | 2013-10-02 | 安徽恒源煤电股份有限公司 | Hydrologic monitoring system for coal mine |
| CN203383854U (en) * | 2013-07-30 | 2014-01-08 | 西南交通大学 | Buffering system for solving problem of tunnel local sudden water burst |
| CN103912311A (en) * | 2014-03-11 | 2014-07-09 | 北京华安奥特科技有限公司 | Mine infrared aqueous detecting and water inrush warning method |
| CN204024711U (en) * | 2014-04-30 | 2014-12-17 | 湖南山源安自控***有限公司 | Mine sump inflow on-Line Monitor Device |
| CN104696010A (en) * | 2015-03-20 | 2015-06-10 | 青岛理工大学 | Comprehensive treatment method for mine water inrush |
| CN105547602A (en) * | 2015-11-04 | 2016-05-04 | 上海大学 | Subway tunnel segment leakage water remote measurement method |
| CN105422181A (en) * | 2016-01-04 | 2016-03-23 | 中国矿业大学(北京) | Underground flood alarming method based on image and flood monitoring |
| CN105464706A (en) * | 2016-01-04 | 2016-04-06 | 中国矿业大学(北京) | Downhole flood alarm system based on image and flood monitoring device |
| CN105484801A (en) * | 2016-01-04 | 2016-04-13 | 中国矿业大学(北京) | Underground flood alarm method based on image and water inflow monitoring |
| CN105484799A (en) * | 2016-01-04 | 2016-04-13 | 中国矿业大学(北京) | Underground flood alarm method based on image and water sump monitoring |
| CN105484797A (en) * | 2016-01-04 | 2016-04-13 | 中国矿业大学(北京) | Underground flood alarm system based on image and coal cutter monitoring equipment |
| CN105484798A (en) * | 2016-01-04 | 2016-04-13 | 中国矿业大学(北京) | Underground flood alarm method based on temperature, humidity and image monitoring |
| CN105422180A (en) * | 2016-01-04 | 2016-03-23 | 中国矿业大学(北京) | Underground flood alarm system based on image and water inflow monitoring device |
| CN105569732A (en) * | 2016-01-04 | 2016-05-11 | 中国矿业大学(北京) | Coal mine water hazard alarm method based on image and hydrologic data monitoring |
| CN105569733A (en) * | 2016-01-04 | 2016-05-11 | 中国矿业大学(北京) | Underground coal mine tunneling working surface water hazard alarm method based on images |
Non-Patent Citations (1)
| Title |
|---|
| 李洪杰;杜计平;齐帅;: "矿井工作面顶板突水安全预警***构建研究" * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110067599A (en) * | 2019-05-13 | 2019-07-30 | 中国矿业大学(北京) | Mine water disaster based on image perceives method for early warning |
| CN112796838A (en) * | 2021-03-30 | 2021-05-14 | 中国矿业大学(北京) | Mine flood alarm system based on full mine data fusion |
| CN113236358A (en) * | 2021-04-24 | 2021-08-10 | 中国煤炭科工集团太原研究院有限公司 | Automatic drainage robot for mine |
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