CN106677827A - Alarming system for abnormal work and disaster of coal cutter based on infrared image - Google Patents

Alarming system for abnormal work and disaster of coal cutter based on infrared image Download PDF

Info

Publication number
CN106677827A
CN106677827A CN201710118121.XA CN201710118121A CN106677827A CN 106677827 A CN106677827 A CN 106677827A CN 201710118121 A CN201710118121 A CN 201710118121A CN 106677827 A CN106677827 A CN 106677827A
Authority
CN
China
Prior art keywords
coal
winning machine
alarm signal
monitoring
video
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710118121.XA
Other languages
Chinese (zh)
Other versions
CN106677827B (en
Inventor
孙继平
邵子佩
刘毅
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China University of Mining and Technology Beijing CUMTB
Original Assignee
China University of Mining and Technology Beijing CUMTB
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China University of Mining and Technology Beijing CUMTB filed Critical China University of Mining and Technology Beijing CUMTB
Priority to CN201710118121.XA priority Critical patent/CN106677827B/en
Publication of CN106677827A publication Critical patent/CN106677827A/en
Application granted granted Critical
Publication of CN106677827B publication Critical patent/CN106677827B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21FSAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
    • E21F17/00Methods or devices for use in mines or tunnels, not covered elsewhere
    • E21F17/18Special adaptations of signalling or alarm devices
    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21CMINING OR QUARRYING
    • E21C35/00Details of, or accessories for, machines for slitting or completely freeing the mineral from the seam, not provided for in groups E21C25/00 - E21C33/00, E21C37/00 or E21C39/00
    • E21C35/04Safety devices
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Landscapes

  • Engineering & Computer Science (AREA)
  • Mining & Mineral Resources (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Geology (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Mechanical Engineering (AREA)
  • Emergency Alarm Devices (AREA)
  • Alarm Systems (AREA)

Abstract

The invention discloses an alarming system for abnormal work and a disaster of a coal cutter based on an infrared image. An infrared camera is installed on a hydraulic support on the coal cutting working face under a coal mine well and collects video information, a digital video datum flow is uploaded through a video server, a coal cutter state datum is uploaded through a coal cutter controller, and a coal cutter monitoring server treats a video image, monitors a set area in the video image of the infrared camera and refers to a state datum, being memorized in a memory server, of the corresponding coal cutter; and if the alarming condition is met, signals of coal cutter abnormal working and disaster alarming are output to a monitoring terminal, on-site real-time and history videos can be checked by production management persons through the monitoring terminal, and corresponding treatment is conducted. The alarming system sufficiently takes working characteristics of the coal mine cutter into consideration, implementation is easy, corresponding measures are automatically and timely adopted, and coal cutter abnormal working and disaster can be accurately alarmed at the first time.

Description

Coal-winning machine abnormal work and calamity forecast system based on infrared image
Technical field
The present invention relates to a kind of coal-winning machine abnormal work based on infrared image and calamity forecast system, the system is related to figure As fields such as Tracking And Communications.
Background technology
Coal is the important basic energy resource and raw material of China, and the energy resource structure based on coal will not change within the long duration Become, with the development of national economy, the demand of coal is increasing, and adjoint mine safety accidents are also being on the increase.Coal Charcoal resource security Efficient Development becomes the hot fields of domestic and foreign scholars research using technology.One of maximally effective solution It is to realize that coal production equips mechanization and automation, so as to realize underground nobody or few people's exploitation.
With the raising and the development of technology of safety of coal mines importance, down-hole coal excavation working face realize few people or Person's Manless mining is inexorable trend, the necessary condition for realizing the few people in underground or Manless mining be the mechanization of down-hole coal excavation equipment, Automate and to its monitor in real time.Coal-winning machine is one of most important equipment of fully-mechanized mining working, and its normal operation is whole comprehensive Mining face completes the basis of digging operation, therefore is one of underground coal mine fully-mechanized mining working to the monitoring of coal-winning machine working condition Vital task.
Current coal-winning machine monitoring function is realized completing by sensor more.The existing mode sensor overwhelming majority uses wired company Connect, in actual applications because space is limited, operating mode severe, more energy can be put into work arrangement and maintenance, and often Can be because the damage of mechanical movement generation connection line, influences the precision of sensor.In machine start-up operation, can produce a large amount of Electromagnetic interference, influence signal of communication propagation.Meanwhile, in the case of actually mining, fallen along with substantial amounts of coal cinder, install Sensor on coal-winning machine is inevitably collided, although have corresponding safeguard procedures, but prolonged collision is still The precision of sensor can so be influenceed.The coal-face down-hole coal excavation, it is necessary to new is influenceed for what collision free, mechanical oscillation brought Machine abnormal work monitor and alarm system, can alarm coal-winning machine abnormal work the very first time exactly, be silo shearer Safety work provides a guarantee.Therefore the present invention proposes a kind of coal-winning machine exception work based on infrared image tracking and monitoring equipment Make and calamity forecast system, according to the different abnormal operations of coal-winning machine, the system can send different alarm, including: Rocking arm automatic lifting alarm signal;Rocking arm can't lock, and have sinkage alarm signal;Shearer haulage power deficiency alarm signal; Rocking arm heightens speed alarming decrease signal;Rocking arm can not heighten alarm signal;Shearer haulage power alarming decrease signal.By prison The temperature of coal-winning machine each several part is surveyed, coal-winning machine heat condition is judged, according to judged result, the system can send different alarm signals Number, including:Left end roller temperature alarm;Right-hand member roller temperature alarm;Mainframe temperature alarm.According to coal mining Machine tracking monitors picture grey values result after losing, and the system can send different alarm, including:Burst floods alarm Signal;Gas reveals alarm signal.
The content of the invention
The present invention proposes a kind of coal-winning machine abnormal work and calamity forecast system based on infrared image, and the system is main Including:Thermal camera, video server, coal mining machine controller, substation, mining Ethernet, storage server, coal-winning machine monitoring Server, monitor terminal;Wherein thermal camera, video server, substation and coal mining machine controller are installed in underground, storage clothes Business device, coal-winning machine monitoring server and monitor terminal are installed on well;Thermal camera is installed on the coal work of underground coal mine On the hydraulic support in face, infrared camera scan coal-face live video analog image;Coal-winning machine monitoring server will connect The infrared image for receiving is spliced into a width infrared image, and tracking and monitoring coal-winning machine left end cylinder position IA, tracking and monitoring coal mining Machine right-hand member cylinder position IB, tracking and monitoring coal-winning machine main frame rack position IO, founding mathematical models, the left rocking bar of calculating parameter lifts height Degree αA, right rocking bar raising height αB, left rocker lifter angular velocity omegaA, right rocker lifter angular velocity omegaB, coal-winning machine mainframe movement Speed V, so as to draw coal-winning machine working condition;The system carries out coal-winning machine exception work according to coal-winning machine working state monitoring result Make condition adjudgement, if judging coal-winning machine working condition exception, send alarm signal;System detectio IAPlace's temperature, monitors IBPlace Temperature, monitors IOPlace's temperature, and according to IA、IB、IOPlace's temperature monitoring result carries out coal-winning machine breakdown judge, if judging coal-winning machine Failure, then send alarm signal;The system is monitored picture grey values result and is happened suddenly after being lost according to coal-winning machine tracking Disaster judgement, if judgement has burst fire-disaster, sends alarm signal;Alarm signal transmits to well monitoring by mining Ethernet Terminal;Monitor terminal is responsible for display alarm information, live video is obtained by accessing video server, by accessing storage service Device obtains history live video.Specific method includes:
1. video camera is contour equally distributed on coal face hydraulic support;The camera of video camera is provided with Infrared filter disc, the infrared picture for gathering the coal-winning machine work;Infrared light compensating lamp, light projection direction are installed by video camera It is consistent with camera video collection direction.
2. coal mining machine controller collection coal-winning machine left rocker height etc. sets data;Substation is received on coal mining machine controller The coal-winning machine of biography sets data, and being uploaded to storage server, coal-winning machine by mining Ethernet monitors server and monitor terminal.
3. coal-winning machine monitoring server is located on well, and the digital of digital video data and coal-winning machine that will be received set data output To core processor, the infrared image of collection is spliced into a width infrared image by processor, and is stored in a storage module.
4. coal-winning machine left end roller A in thermal camera monitoring range is set respectively, take its center for IA; Coal-winning machine right-hand member cylinder position B is set, its center is taken for IB;Coal-winning machine main frame rack position O is set, is taken Its center is IO;During k frames, respectively in IA、IB、IOSurrounding gathers two sample set Dα=z | | | IN-Iz||<α } and Dδ,β= {z|δ<||IN-Iz||<β }, wherein, α<δ<β, IzRepresent sample position, INRepresent in IA、IB、IOThe sample position of surrounding collection; Make DαIt is positive sample (roller image), Dδ, βIt is negative sample (background image) that random measurement matrix is calculated according to following equation:rijRepresent that the element of random measurement matrix, s take 2 or 3,Represent probability; Then multi-scale transform is carried out to sample image, class Harr features is calculated, by above-mentioned calculation matrix to multi-scale image feature Dimensionality reduction is carried out, expectation and the standard deviation of the positive and negative sample characteristics after dimensionality reduction is calculated, and uses it to train Naive Bayes Classifier; When k+1 frames, the n scanning of surrounding sample for the target location for being traced into previous frame in image setting region A, B, O respectively Window, by same sparseness measuring matrix to the window dimensionality reduction sampled, extracts feature, the simple shellfish for then being trained with k frames Leaf this grader is classified, and the maximum window of order classification fraction is denoted as target window, and updates I respectivelyA、IB、IO
5. the center for setting the figure long that splicing is obtained is origin, and picture position is transformed into coordinate system by founding mathematical models In, IABe converted to (xA,yA), IBBe converted to (xB,yB), IOBe converted to (xO,yO), if the instantaneous raising height of left rocking bar is αa, the right side shakes The instantaneous raising height of bar is αb, left rocking bar instantaneously lift angular speed for ωa, right rocking bar instantaneously lift angular speed for ωb, coal-winning machine The instantaneous translational speed of mainframe is υ, during note k frames, IA、IB、IOCoordinate (xAk,yAk)、(xBk,yBk)、(xOk,yOk), during k+T frames, IA、IB、IOCoordinate (xAk+1,yAk+1)、(xBk+1,yBk+1)、(xOk+1,yOk+1), the T frame period times are t;Calculate L is Coal-winning machine mainframe center is to left rocking bar and mainframe junction distance;At interval of time T0, calculate α in the timeaAverage, Draw αA, calculate α in the timebAverage, draw αB, calculate ω in the timeaAverage, draw ωA, calculate in the time ωbAverage, draw ωB, the average of υ in the time is calculated, draw the numerical value of V;T0, T by measure setting or be manually set.
6. frequency n=m=0 is set, when coal-winning machine is started working, at interval of time T3, the value of V, n and m is detected, by sentencing Disconnected V, n, m, αA、αB、ωA、ωBValue, judge the working condition of coal-winning machine, according to judged result, the system can send inhomogeneity The alarm signal of type;By monitoring IA、IB、IOPlace's temperature, judges coal-winning machine heat condition, and according to judged result, the system can be sent out Go out different types of alarm signal.
7. after coal-winning machine tracking is lost, gray value is carried out to subsequent image and is extracted and is calculated, according to result of calculation, judged Whether floods, gas leakage there is, and according to judged result, the system can send different types of alarm signal.
8. alarm signal includes:Rocking arm automatic lifting alarm signal;Rocking arm can't lock, and have sinkage alarm signal;Adopt Coal machine travel power deficiency alarm signal;Rocking arm heightens speed alarming decrease signal;Rocking arm can not heighten alarm signal;Coal-winning machine leads Gravitation alarming decrease signal;Left end roller temperature alarm;Right-hand member roller temperature alarm;Mainframe temperature alarm is believed Number;Burst floods alarm signal;Gas reveals alarm signal.
Brief description of the drawings
Fig. 1 is based on the coal-winning machine abnormal work and calamity forecast system schematic of infrared image.
The workflow schematic diagram of Fig. 2 coal-winning machines abnormal work and calamity forecast system.
Fig. 3 coal-winning machines monitor monitoring server schematic flow sheet.
Specific embodiment
Coal-winning machine abnormal work and calamity forecast system composition based on infrared image is as shown in Figure 1:
1. thermal camera (101), using the mining video camera for meeting coal mine flame-proof requirement, with infrared light compensating lamp, take the photograph The camera of camera is provided with infrared filter disc, and video camera is arranged on the hydraulic support of coal-face, by coaxial cable with Video server (104) is connected.
2. coal mining machine controller (102), are responsible for collection coal-winning machine and set data, and data are transmitted to depositing by EPA Storage server, using Programmable Logic Controller (PLC), Programmable Logic Controller has communication interface or communication module.In this embodiment party Siemens SIMATIC S7-300 is used in case.
3. substation (103), also referred to as data collection station, are responsible for receiving the coal-winning machine setting that coal mining machine controller (102) is uploaded Data, and data are uploaded to storage server, coal-winning machine monitoring server and monitor terminal.Substation and coal mining machine controller (102) twisted-pair communication is passed through using RS-485 standards;Substation is connected by twisted-pair feeder or optical cable with nearest underground interchanger, Communicated with the storage server on well using TCP modes, with flameproof enclosure, meet underground coal mine flame proof requirement.
4. video server (104), also referred to as video encoder, receive the analog video exported by thermal camera (101) Signal, is digitized and compressed encoding, and server and prison are monitored to storage server, coal-winning machine on well by mining Ethernet Control terminal transmitting video data.Haikang DS-6701HW one-way network video servers are selected in the present embodiment, are set to group Broadcast mode.
5. underground interchanger (105), are the underground access devices of mining Ethernet, and concatenation forms looped network, are responsible for video clothes Business device and other accesses and data exchange by network communication equipment, equipment incoming end are generally RJ45 interfaces, and looped network continues It is optical interface to hold, and with flameproof enclosure, meets underground coal mine flame proof requirement.
6. the network switch (106), are the hard core control equipment of mining Ethernet, are responsible for the equipment of all access networks Management and data exchange.
7. storage server (107), are responsible for reception by the video data of video server upload and store, and are monitor terminal Live historical query is provided and transfers service.
8. coal-winning machine monitors server (108), receives digital video frequency flow and coal-winning machine control that video server (104) is uploaded The coal-winning machine that device (102) processed uploads sets data, and video image is processed, and is set in monitoring thermal camera video image Region, and with reference to storage server storage corresponding coal-winning machine set data, as met alert if if to monitor terminal (109) Output coal-winning machine exceptional state alarm signal.
9. monitor terminal (109), with sound and light of alarm, receive the alarm number of coal-winning machine monitoring server (108) According to then sound and light alarm;Monitor terminal has real-time video monitoring and history video transfers function, and production management personnel are by monitoring Terminal checks the live video image uploaded by video server (104), also can transfer history video from storage server (107) Data.Production management personnel can send alarm signal by Technology for Communication System of Coal Mine, and emergency scheduling instruction is issued to related personnel.Prison The built-in underground geography information of control terminal, and with map denotation engine, the present embodiment uses the visualization of Map Info companies Map components Map X, the thermal camera position for monitoring alarm can be automatically shown when coal-winning machine operation irregularity is alarmed.
The course of work of coal-winning machine abnormal work and calamity forecast system is as shown in Figure 2:
1. (201) infrared camera scan video image, the in-site modeling vision signal that will be collected passes through coaxial cable It is transferred to video server (104).
2. (202) video server (104) digitized analog video signal and compressed encoding is carried out.
3. (203) substation (103), receives the coal-winning machine setting data that coal mining machine controller (102) is uploaded.
4. (204) by vision signal and coal-winning machine set data by netting twine by data be uploaded to storage server (107), Coal-winning machine monitors server (108) and monitor terminal (109).
5. (205) storage server (107) receives vision signal and coal-winning machine sets data and stored.
6. (206) coal-winning machine is monitored server (108) and receives vision signal and coal-winning machine and sets data, and by core at The built-in storehouse Treatment Analysis video data of reason device (201), coal-winning machine working condition in monitoring coal work plane video, ties to analysis Fruit is judged.
7. (207) are then led to alert data using TCP communication mode when monitoring result meets alert if by network Letter module (204) sends monitor terminal (109) to.
8. it is aobvious by map automatically according to thermal camera numbering after (208) monitor terminal (108) receives alert data Show that engine shows coal winning machine position over the display, and sound and light alarm prompting production management personnel are processed.
9. (209) production management personnel transfer live history and regard by monitor terminal (109) access storage server (107) Frequently.
10. (210) production management personnel watch the live video uploaded by video server (104) simultaneously, confirm alarm Generating process and presence states situation.
After 11. (211) production management personnel confirm alarm, alarm signal can be sent by Technology for Communication System of Coal Mine, to correlation Personnel issue emergency scheduling instruction.
Coal-winning machine monitoring monitoring server flow is as shown in Figure 3:
1. the monitor area R parameters related to all monitoring computings is transferred when (301) image trace monitoring device starts.
2. (302) set to coal-winning machine left end roller A in thermal camera monitoring range respectively, take its center It is IA;Coal-winning machine right-hand member cylinder position B is set, its center is taken for IB;Coal-winning machine main frame rack position O is set It is fixed, its center is taken for IO;During k frames, respectively in IA、IB、IOSurrounding gathers two sample set Dα=z | | | IN-Iz||<α } and Dδ,β=z | δ<||IN-Iz||<β }, wherein, α<δ<β, IzRepresent sample position, INRepresent in IA、IB、IOThe sample of surrounding collection Position;Make DαIt is positive sample (roller image), Dδ, βIt is negative sample (background image) that random measurement square is calculated according to following equation Battle array: rijRepresent that the element of random measurement matrix, s take 2 or 3,Represent general Rate;Then multi-scale transform is carried out to sample image, class Harr features are calculated, it is special to multi-scale image by above-mentioned calculation matrix Levying carries out dimensionality reduction, calculates expectation and the standard deviation of the positive and negative sample characteristics after dimensionality reduction, and uses it to train Naive Bayes Classification Device;When k+1 frames, surrounding sample n of the target location for being traced into previous frame in image setting region A, B, O respectively sweeps Window is retouched, by same sparseness measuring matrix to the window dimensionality reduction sampled, feature, the simplicity for then being trained with k frames is extracted Bayes classifier is classified, and the maximum window of order classification fraction is denoted as target window, and updates I respectivelyA、IB、IO
3. (303) judge whether image tracks loss, if lost, perform (332), otherwise perform (304).
4. (304) store data in memory module.
5. (305) image trace monitoring device founding mathematical models, horizontal direction is left negative right just, under vertical direction to be born Just, by IABe converted to (xA,yA), IBBe converted to (xB,yB), IOBe converted to (xO,yO)。
6. it is α that (306) set the instantaneous raising height of left rocking bara, the right instantaneous raising height of rocking bar be αb, left rocking bar instantaneously rises Drop angular speed is ωa, right rocking bar instantaneously lift angular speed for ωb, the instantaneous translational speed of coal-winning machine mainframe be υ, remember k frames When, IA、IB、IOCoordinate (xAk,yAk)、(xBk,yBk)、(xOk,yOk), during k+T frames, IA、IB、IOCoordinate (xAk+1,yAk+1)、(xBk+1,yBk+1)、(xOk+1,yOk+1), the T frame period times are t;Calculate L be coal-winning machine mainframe center to left rocking bar and Mainframe junction distance;At interval of time T0, calculate α in the timeaAverage, draw αA, calculate α in the timebIt is equal Value, draws αB, calculate ω in the timeaAverage, draw ωA, calculate ω in the timebAverage, draw ωBIf, Q1A< Q2, then ω is madeA=0, if Q1B<Q2, then ωB=0, wherein Q1<0<Q2, ω>0 represents that roller is rising, and ω=0 represents roller It is highly constant, ω<0 represents that roller is declining;At interval of time T1, the average of υ in the time is calculated, the numerical value of V is drawn, if Q3< V<Q4, then V=0, wherein Q are made3<0<Q4, V>0, represent that coal-winning machine moves right, V<0, represent that coal-winning machine is moved to the left, V=0, Represent coal-winning machine in adjustment roller height;T、T0、T1、Q1、Q2、Q3、Q4By measuring setting or being manually set.
7. whether (307) judge speed V more than threshold value Q5, if greater than Q5, then (308) are performed, otherwise perform (311).Q5 By measuring setting or being manually set.
8. whether (308) judge left and right roller angle difference less than threshold value Q6, if less than Q6, then (309) are performed, otherwise Perform (302).Q6By measuring setting or being manually set.
9. (309) triggering early warning, puts pre-warning mark.
10. whether (310) judge angular velocity omega more than 0, if greater than 0, then perform (340) and send rocking arm automatic lifting report Alert signal, otherwise performs (340) transmission rocking arm and can't lock, and has sinkage alarm signal.
Whether 11. (311) judge speed V more than threshold value Q7, if greater than Q7, then (321) are performed, otherwise perform (312). Q7By measuring setting or being manually set.
12. (312) frequency ns set to 0, and number of times m adds 1.
Whether 13. (313) judge number of times m more than threshold value Q8, if greater than Q8, then (314) are performed, otherwise perform (319). Q8By measuring setting or being manually set.
14. (314) triggering early warning, put pre-warning mark.
15. (315) judge coal winning machine position I0Whether in (Q9, Q10) in, if in the range of, performing (340) and sending Shearer haulage power deficiency alarm signal, otherwise performs (316).Q9、Q10By measuring setting or being manually set.
Whether 16. (316) judge angular velocity omega more than threshold value Q11, if greater than Q11, then (317) are performed, otherwise perform (320)。Q11By measuring setting or being manually set.
17. (317) cancel early warning.
18. (318) frequency ns, m set to 0.
19. (319) store in memory module frequency n, m.
Whether 20. (320) judge angular velocity omega more than 0, and if greater than 0, then execution (340) sends rocking arm and heightens under speed Drop alarm signal, otherwise execution (340) sends rocking arm can not heighten alarm signal.
21. (321) number of times m set to 0, and frequency n adds 1.
Whether 22. (322) judge frequency n more than threshold value Q12, if greater than Q12, then (323) are performed, otherwise perform (319)。Q12By measuring setting or being manually set.
23. (323) triggering early warning, put pre-warning mark.
24. (324) judge coal winning machine position I0Whether in (Q13, Q14) in, if in the range of, performing (340) and sending Shearer haulage power alarming decrease signal, otherwise performs (317).Q13、Q14By measuring setting or being manually set.
25. (325) set to coal-winning machine left end roller A in thermal camera monitoring range respectively, take its centre bit It is set to IA, with IAIt is the center of circle, r is radius, takes border circular areas RA;Coal-winning machine right-hand member cylinder position B is set, Qu Qi centers Position is IB, with IBIt is the center of circle, r is radius, takes border circular areas RB;Coal-winning machine main frame rack position O is set, Qu Qi centers Position is IO, with IOIt is the center of circle, r is radius, takes border circular areas RO;At interval of time T1, extract in subsequent K two field pictures this at three The gray value of position, and computing is carried out respectively.Ask for I in K two field picturesA、IB、IOPixel arithmetic mean of instantaneous value at three, obtains pixel value DA、DB、DO;.
26. (326) judge DA、DBWhether given threshold M is more than or equal to1, if greater than M1, then (327) are performed, otherwise hold Row (302).M1By measuring setting or being manually set.
27. (327) number of times p set to 0, and number of times q adds 1.
Whether 28. (328) judge q more than or equal to given threshold M3, if greater than M3, then (340) are performed, send left end rolling Cylinder temperature alarm;Or right-hand member roller temperature alarm, otherwise perform (302).M3By measuring setting or being manually set.
29. (329) judge DOWhether given threshold M is more than or equal to2, if greater than M2, then (330) are performed, otherwise perform (302)。M2By measuring setting or being manually set.
30. (330) number of times q set to 0, and number of times p adds 1.
Whether 31. (331) judge p more than or equal to given threshold M4, if greater than M4, then (340) are performed, send mainframe Temperature alarm, otherwise performs (302).M4By measuring setting or being manually set.
32. (332) lose preceding last frame image I to coal-winning machine trackingA、IB、IOPlace's mark, extracts in subsequent K two field pictures The gray value of this position at three, and computing is carried out respectively.Ask in K two field pictures more than or equal to given threshold N1Pixel arithmetic put down Average, obtains pixel value DH;K frame ins are asked for less than or equal to given threshold N2Pixel arithmetic mean of instantaneous value, obtain pixel value DL
33. (333) judge DHWhether given threshold N is more than or equal to3, if greater than N3, then (334) are performed, otherwise perform (337)。
34. (334) judge whether spraying opens, if opened, perform (301), otherwise perform (335).
35. (335) at interval of X frames to video image f (x, y) of camera acquisition with deposit coal-winning machine background image g (x, Y) accumulated deficiency treatment is carried out, by after accumulated deficiency calculation process Y frames, asking more than or equal to setting gray value T1Pixel summation DW
36. (336) judge DWWhether given threshold N is more than or equal to4, if greater than equal to N4, then perform (340) and send water Calamity alarm signal, otherwise performs (301).
37. (337) judge DLWhether given threshold N is more than or equal to5, if greater than N5, then (338) are performed, otherwise perform (301)。
38. (338) by after accumulated deficiency calculation process Y frames, asking more than or equal to setting gray value T2Pixel summation DF
39. (339) judge DFWhether given threshold N is more than or equal to6, if greater than equal to N6, then perform (340) and send watt This leakage alarm signal, otherwise performs (301).
40. (340) send alarm signal.Including:Rocking arm automatic lifting alarm signal;Rocking arm can't lock, and have sinkage Alarm signal;Shearer haulage power deficiency alarm signal;Rocking arm heightens speed alarming decrease signal;Rocking arm can not heighten alarm signal Number;Shearer haulage power alarming decrease signal;Left end roller temperature alarm;Right-hand member roller temperature alarm;Mainframe Temperature alarm;Burst floods alarm signal;Gas reveals alarm signal.

Claims (9)

1. the present invention proposes a kind of coal-winning machine abnormal work and calamity forecast system based on infrared image, and the system is mainly wrapped Include:Thermal camera, video server, coal mining machine controller, substation, mining Ethernet, storage server, coal-winning machine monitoring clothes Business device, monitor terminal;Wherein thermal camera, video server, substation and coal mining machine controller are installed in underground, storage service Device, coal-winning machine monitoring server and monitor terminal are installed on well;Thermal camera is installed on the coal-face of underground coal mine Hydraulic support on, infrared camera scan coal-face live video analog image;Coal-winning machine monitoring server will be received To infrared image be spliced into a width infrared image, and tracking and monitoring coal-winning machine left end cylinder position IA, tracking and monitoring coal-winning machine Right-hand member cylinder position IB, tracking and monitoring coal-winning machine main frame rack position IO, founding mathematical models, the left rocking bar raising height of calculating parameter αA, right rocking bar raising height αB, left rocker lifter angular velocity omegaA, right rocker lifter angular velocity omegaB, coal-winning machine mainframe movement speed Degree V, so as to draw coal-winning machine working condition;The system carries out coal-winning machine abnormal work according to coal-winning machine working state monitoring result Condition adjudgement, if judging coal-winning machine working condition exception, sends alarm signal;System detectio IAPlace's temperature, monitors IBPlace's temperature Degree, monitors IOPlace's temperature, and according to IA、IB、IOPlace's temperature monitoring result carries out coal-winning machine breakdown judge, if judging coal-winning machine event Barrier, then send alarm signal;The system is monitored picture grey values result and carries out burst calamity after being lost according to coal-winning machine tracking Evil judgement, if judgement has burst fire-disaster, sends alarm signal;Alarm signal transmits to well monitoring eventually by mining Ethernet End;Monitor terminal is responsible for display alarm information, live video is obtained by accessing video server, by accessing storage server Obtain history live video.
2. warning system as claimed in claim 1, it is characterised in that:Video camera is contour equally distributed installed in coal work On the hydraulic support of face;The camera of video camera is provided with infrared filter disc, the infrared picture for gathering the coal-winning machine work; Infrared light compensating lamp is installed on video camera side, and light projection direction is consistent with camera video collection direction.
3. warning system as claimed in claim 1, it is characterised in that:Coal mining machine controller collection coal-winning machine left rocker is highly Deng setting data;Substation receives the coal-winning machine setting data that coal mining machine controller is uploaded, and storage is uploaded to by mining Ethernet Server, coal-winning machine monitoring server and monitor terminal.
4. warning system as claimed in claim 1, it is characterised in that:Coal-winning machine monitoring server is located on well, will be received Digital of digital video data and coal-winning machine data output is set to core processor, the infrared image of collection is spliced into one by processor Width infrared image, and store in a storage module.
5. warning system as claimed in claim 1, it is characterised in that:It is left to coal-winning machine in thermal camera monitoring range respectively End roller A is set, and takes its center for IA;Coal-winning machine right-hand member cylinder position B is set, taking its center is IB;Coal-winning machine main frame rack position O is set, its center is taken for IO;During k frames, respectively in IA、IB、IOSurrounding collection two Individual sample set Dα=z | | | IN-Iz||<α } and Dδ,β=z | δ<||IN-Iz||<β }, wherein, α<δ<β, IzRepresent sample position, INRepresent in IA、IB、IOThe sample position of surrounding collection;Make DαIt is positive sample (roller image), Dδ, βIt is negative sample (Background Picture), random measurement matrix is calculated according to following equation: rijRepresent random measurement matrix Element, s take 2 or 3,Represent probability;Then multi-scale transform is carried out to sample image, class Harr is calculated special Levy, dimensionality reduction carried out to multi-scale image feature by above-mentioned calculation matrix, calculate the positive and negative sample characteristics after dimensionality reduction expectation and Standard deviation, and use it to train Naive Bayes Classifier;When k+1 frames, respectively in image setting region A, B, O upper one The n scanning window of surrounding sample for the target location that frame is traced into, is dropped by same sparseness measuring matrix to the window sampled Dimension, extracts feature, and the Naive Bayes Classifier for then being trained with k frames is classified, the maximum window note of order classification fraction Make target window, and update I respectivelyA、IB、IO
6. warning system as claimed in claim 1, it is characterised in that:The center of the figure long that splicing is obtained is set for origin, is built Vertical Mathematical Modeling, picture position is transformed into coordinate system, IABe converted to (xA,yA), IBBe converted to (xB,yB), IOBe converted to (xO, yO), if the instantaneous raising height of left rocking bar is αa, the right instantaneous raising height of rocking bar be αb, left rocking bar instantaneously lift angular speed for ωa, it is right Rocking bar instantaneously lifts angular speed for ωb, the instantaneous translational speed of coal-winning machine mainframe be υ, note k frames when, IA、IB、IOCoordinate (xAk,yAk)、 (xBk,yBk)、(xOk,yOk), during k+T frames, IA、IB、IOCoordinate (xAk+1,yAk+1)、(xBk+1,yBk+1)、(xOk+1,yOk+1), during T frame periods Between be t;Calculate L is coal-winning machine mainframe center to left rocking bar and mainframe Junction distance;At interval of time T0, calculate α in the timeaAverage, draw αA, calculate α in the timebAverage, draw αB, calculate ω in the timeaAverage, draw ωA, calculate ω in the timebAverage, draw ωB, calculate υ in the time Average, draws the numerical value of V;T0, T by measure setting or be manually set.
7. warning system as claimed in claim 1, it is characterised in that:Frequency n=m=0 is set, when coal-winning machine is started working, At interval of time T3, the value of V, n and m is detected, by judging V, n, m, αA、αB、ωA、ωBValue, judge the work shape of coal-winning machine State, according to judged result, the system can send different types of alarm signal;By monitoring IA、IB、IOPlace's temperature, judges to mine Machine heat condition, according to judged result, the system can send different types of alarm signal.
8. warning system as claimed in claim 1, it is characterised in that:After coal-winning machine tracking is lost, subsequent image is carried out Gray value is extracted and calculated, and according to result of calculation, judges whether floods, gas leakage, and according to judged result, the system can Send different types of alarm signal.
9. the warning system that such as claim 1 is stated, it is characterised in that:Different alarm can be sent, including:Rocking arm automatic lifting Alarm signal;Rocking arm can't lock, and have sinkage alarm signal;Shearer haulage power deficiency alarm signal;Rocking arm heightens speed Alarming decrease signal;Rocking arm can not heighten alarm signal;Shearer haulage power alarming decrease signal;Left end roller temperature alarm is believed Number;Right-hand member roller temperature alarm;Mainframe temperature alarm;Burst floods alarm signal;Gas reveals alarm signal.
CN201710118121.XA 2017-03-01 2017-03-01 Coalcutter abnormal work based on infrared image and calamity forecast system Active CN106677827B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710118121.XA CN106677827B (en) 2017-03-01 2017-03-01 Coalcutter abnormal work based on infrared image and calamity forecast system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710118121.XA CN106677827B (en) 2017-03-01 2017-03-01 Coalcutter abnormal work based on infrared image and calamity forecast system

Publications (2)

Publication Number Publication Date
CN106677827A true CN106677827A (en) 2017-05-17
CN106677827B CN106677827B (en) 2018-11-13

Family

ID=58861500

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710118121.XA Active CN106677827B (en) 2017-03-01 2017-03-01 Coalcutter abnormal work based on infrared image and calamity forecast system

Country Status (1)

Country Link
CN (1) CN106677827B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108361069A (en) * 2018-02-23 2018-08-03 中国矿业大学(北京) Mine explosion monitoring system based on coloured image monitoring device
CN110400448A (en) * 2019-07-29 2019-11-01 精英数智科技股份有限公司 A kind of coalcutter operating status judgment method, system and storage medium
CN111077816A (en) * 2019-12-04 2020-04-28 神华神东煤炭集团有限责任公司 Telex control method and telex control system based on data chain and super-large mining height coal mining machine
CN114666553A (en) * 2022-05-18 2022-06-24 深圳酷源数联科技有限公司 Coal mine underground large-visual-angle security monitoring system

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE3246965A1 (en) * 1982-12-18 1984-06-20 Bergwerksverband Gmbh, 4300 Essen Monitoring device for spoil-hoisting installations
CN103248878A (en) * 2013-05-23 2013-08-14 南车株洲电力机车有限公司 Pattern recognition method, device and system of abnormal situation of fully mechanized coal mining face
CN103527194A (en) * 2013-10-15 2014-01-22 淮北矿业(集团)有限责任公司 Real-time monitoring and intelligent evaluation system for health degree of electric traction coal mining machine and method thereof
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
CN205638559U (en) * 2016-01-04 2016-10-12 中国矿业大学(北京) Colliery is headwork face floods alarm system in pit based on image
CN205823335U (en) * 2016-01-04 2016-12-21 中国矿业大学(北京) Down-hole based on image and water quality monitoring equipment floods warning system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE3246965A1 (en) * 1982-12-18 1984-06-20 Bergwerksverband Gmbh, 4300 Essen Monitoring device for spoil-hoisting installations
CN103248878A (en) * 2013-05-23 2013-08-14 南车株洲电力机车有限公司 Pattern recognition method, device and system of abnormal situation of fully mechanized coal mining face
CN103527194A (en) * 2013-10-15 2014-01-22 淮北矿业(集团)有限责任公司 Real-time monitoring and intelligent evaluation system for health degree of electric traction coal mining machine and method thereof
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
CN205638559U (en) * 2016-01-04 2016-10-12 中国矿业大学(北京) Colliery is headwork face floods alarm system in pit based on image
CN205823335U (en) * 2016-01-04 2016-12-21 中国矿业大学(北京) Down-hole based on image and water quality monitoring equipment floods warning system

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108361069A (en) * 2018-02-23 2018-08-03 中国矿业大学(北京) Mine explosion monitoring system based on coloured image monitoring device
CN108361069B (en) * 2018-02-23 2019-11-05 中国矿业大学(北京) Mine explosion monitoring system based on color image monitoring device
CN110400448A (en) * 2019-07-29 2019-11-01 精英数智科技股份有限公司 A kind of coalcutter operating status judgment method, system and storage medium
CN111077816A (en) * 2019-12-04 2020-04-28 神华神东煤炭集团有限责任公司 Telex control method and telex control system based on data chain and super-large mining height coal mining machine
CN114666553A (en) * 2022-05-18 2022-06-24 深圳酷源数联科技有限公司 Coal mine underground large-visual-angle security monitoring system

Also Published As

Publication number Publication date
CN106677827B (en) 2018-11-13

Similar Documents

Publication Publication Date Title
CN106677827A (en) Alarming system for abnormal work and disaster of coal cutter based on infrared image
CN209691075U (en) A kind of distribution landslide disaster monitoring and warning system
CN110517429A (en) A kind of Intelligent electronic fence system and processing method
CN207813654U (en) Based on ranging and the coal working face calamity forecast system to test the speed
CN104103153B (en) Flood prevention rainwater information automatic monitoring central system and monitoring method thereof
CN105484797B (en) Underground floods alarm system based on image and coalcutter monitoring device
CN105484796B (en) Underground floods alarm system based on humiture and image monitoring equipment
CN106657935A (en) Coal cutter abnormal work and disaster alarm system based on images
CN106791721A (en) Development machine abnormal work and disaster underground warning system based on infrared image
CN112001310A (en) Transformer substation operation field safety control system based on visual perception and space positioning
CN205721196U (en) A kind of sewage disposal long distance control system
CN105484800B (en) Underground coal mine coal working face floods alarm method based on image
CN106851210A (en) Development machine abnormal work and calamity forecast system based on image
CN205638559U (en) Colliery is headwork face floods alarm system in pit based on image
CN116151802B (en) Comprehensive management and control system for hydraulic and electric engineering construction and equipment operation and maintenance
CN105464705B (en) Underground floods alarm system based on image and water quality monitoring equipment
CN103281364A (en) Internet of things system platform used for burglary prevention and monitoring of electric power facility and monitoring and management of running parameters
CN107274090A (en) Architectural Equipment supervisory systems based on BIM technology
CN108227617A (en) A kind of tyre crane remote detection and assessment system
CN108170079A (en) Building site intelligent container comprehensive management platform
CN106677828B (en) Coalcutter abnormal work and disaster underground alarm system based on infrared image
CN106791720A (en) Coal-winning machine abnormal work and calamity forecast system based on image trace monitoring device
CN109341757A (en) A kind of the intelligent detecting prewarning system and its application method of information system operation data
CN109899113A (en) A kind of underground mine hydrology on-line monitoring early warning system based on cell phone application
CN104103152B (en) A kind of flood control rainwater feelings automatic monitoring method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant