CN109695475A - A kind of coal mine roadway exception monitoring device and method based on sound - Google Patents
A kind of coal mine roadway exception monitoring device and method based on sound Download PDFInfo
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- CN109695475A CN109695475A CN201811458633.1A CN201811458633A CN109695475A CN 109695475 A CN109695475 A CN 109695475A CN 201811458633 A CN201811458633 A CN 201811458633A CN 109695475 A CN109695475 A CN 109695475A
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- 239000003245 coal Substances 0.000 title claims abstract description 65
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000012806 monitoring device Methods 0.000 title claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 33
- 239000002184 metal Substances 0.000 claims abstract description 19
- 229910052751 metal Inorganic materials 0.000 claims abstract description 19
- 238000012549 training Methods 0.000 claims abstract description 19
- 238000004458 analytical method Methods 0.000 claims abstract description 12
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- 238000000605 extraction Methods 0.000 claims description 10
- 239000000284 extract Substances 0.000 claims description 8
- 238000012544 monitoring process Methods 0.000 claims description 8
- 238000006243 chemical reaction Methods 0.000 claims description 7
- 238000001914 filtration Methods 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 6
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 claims 1
- 239000010931 gold Substances 0.000 claims 1
- 229910052737 gold Inorganic materials 0.000 claims 1
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- 238000012360 testing method Methods 0.000 abstract description 2
- 238000001514 detection method Methods 0.000 description 6
- 238000001228 spectrum Methods 0.000 description 4
- 230000009466 transformation Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 230000005611 electricity Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
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- 230000008447 perception Effects 0.000 description 1
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 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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- Mining & Mineral Resources (AREA)
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Abstract
A kind of coal mine roadway exception monitoring device and method based on sound of the present invention, belongs to test technique automatic field；It is strong and can find the monitoring device and method based on sound of tunnel abnormality in time to provide a kind of scalability；Technical solution are as follows: the present apparatus, it is arranged in coal mine roadway, including host, host is equipped with metal shell, data memory module is equipped in metal shell, sound card module, data processing module, the side of metal shell is equipped with microphone array, microphone array is for sound in collection of coal mine tunnel, and acquisition sound is passed into sound card module, sound card module is converted by acoustic-electric voice signal being converted to electric signal, then electric signal is passed into data processing module, data processing module passes through voice training and voice recognition, Electric signal processing is analyzed, judge whether generate exception, and analysis result is stored in data memory module.
Description
Technical field
A kind of coal mine roadway exception monitoring device and method based on sound of the present invention belongs to test technique automatic neck
Domain.
Background technique
In current information-intensive society, sound as with one of text, image, the carrier of the simultaneous information of video display,
Widely distributed in daily production and life, the information that it is transmitted accounts for significant proportion and the base of Human communication in all information
The method.A kind of important information source of the sound as human perception environment, it can be good at the sound thing reflected in environment
Part and with this judge event occurred in environment it is normal whether.In recent years, people to exceptional sound recognition technology just gradually into
Enter deeper into research.It, can also due to the complicated and diversified feature of sound under varying environment, involved voiceband wider range
The superposition and reflection of a variety of alternative sounds can occur, along with the difference of sound source, so according to the difference of research emphasis, researcher
Usually abnormal sound under different occasions is specifically studied.
Coal mine roadway is broadly divided into: as the main entry of ventilation and transport, as driving, developing, coal working face return air
Air return lane, as the haulage way of transport, and as the secondary lane of exploiting field auxiliary.Exist in all kinds of coal mine roadways
Including a large amount of equipment such as conveyer, frequency converter, development machine, controller, aqueduct and gas pipeline.Current coal master will be according to
By patrol officer coal mine roadway inspection come discovered whether abnormal conditions (such as: electrical equipment is abnormal, pipeline breaking leakage,
Conveyer failure) occur, and also the discovery of most of coal mine unusual conditions is all that patrol officer hears there is abnormal sound first at present, so
Reach scene afterwards to note abnormalities.With the propulsion in unmanned mine, coal mine patrol officer's quantity is in and gradually reduces state,
So that originally can not the work of inspection completely become more difficult.Abnormal conditions happen occasionally in all kinds of tunnels of coal mine, once it patrols
Inspection personnel can not reach scene in time, and abnormal conditions aggravate, it is possible to larger economic loss even personnel can be caused to coal mine
Injury.
Summary of the invention
A kind of coal mine roadway exception monitoring device and method based on sound of the present invention, overcome it is of the existing technology not
It is strong and can find the monitoring device and method based on sound of tunnel abnormality in time to provide a kind of scalability for foot.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention are as follows: a kind of coal mine roadway based on sound is different
Normal monitoring device is arranged in coal mine roadway, including host, and host is equipped with metal shell, is equipped with data in metal shell and stores
Module, sound card module, data processing module, metal shell side be equipped with microphone array, microphone array is for acquiring coal
Sound in mine tunnel, and acquisition sound is passed into sound card module, sound card module is converted by acoustic-electric and is converted to voice signal
Then electric signal is passed to data processing module by electric signal, data processing module is by voice training and voice recognition, to electricity
Signal processing analysis judges whether generate exception, and analysis result is stored in data memory module.
Further, further include the control module being arranged in the metal shell, power module and interface module, control mould
Block is connected with interface module, and control module is connected with interface module, and the side of the metal shell is arranged in interface module.
Further, fixed bracket is provided on the top surface of the metal shell.
Further, the control module includes button and electromagnetic relay, and button is connected with the data processing module, electricity
The input terminal of magnetic relay is connected by zener diode with data processing module, the output end of electromagnetic relay and the interface
Module is connected.
A kind of coal mine roadway method for monitoring abnormality based on sound, it is different based on a kind of above-mentioned coal mine roadway based on sound
Normal monitoring device is completed, comprising the following steps:
S10. host is installed on the wall of coal mine roadway, and starts host；
S20. it carries out voice training: setting a training time section, all sound in microphone array collection of coal mine tunnel pass through
Signal processing, characteristic parameter extraction and identification classification, the normal sound characteristic storage that will identify that are built in data memory module
It attentions normal voice bank；
S30. carry out voice recognition: all sound in microphone array collection of coal mine tunnel pass through signal processing, characteristic parameter
It extracts and identification is classified, be determined as coal mine roadway when collected sound characteristic is identical as sound characteristic in normal sound library
Normally, otherwise it is determined as exception, abnormal sound is stored in abnormal sound library, and sends alarm signal to coal mine control centre.
Further, the step S20 the following steps are included:
S21. all sound in microphone array collection of coal mine tunnel；
S22. in training time section, sound card module is converted by acoustic-electric voice signal being converted to analog electrical signal；
S23. analog electrical signal becomes digital signal by signal threshold value control, programming amplifying, program control filtering and analog-to-digital conversion；
S24. MFCC characteristic parameter extraction is carried out to digital signal, extracts sound characteristic；
S25. voice recognition classification is carried out using HMM to sound characteristic, by the above-mentioned sound characteristic identified and normal sound library
In acoustic contrast be added to normal sound library if it is new normal sound feature, otherwise continue collection analysis；
S26. when reaching training time section, then terminate to train.
Further, the step S30 the following steps are included:
S31. all sound in microphone array collection of coal mine tunnel；
S32. sound card module is converted by acoustic-electric voice signal being converted to analog electrical signal；
S33. analog electrical signal becomes digital signal by signal threshold value control, programming amplifying, program control filtering and analog-to-digital conversion；
S34. MFCC characteristic parameter extraction is carried out to digital signal, extracts sound characteristic；
S35. voice recognition classification is carried out using HMM to sound characteristic, by the above-mentioned sound characteristic identified and normal sound library
In acoustic contrast, then issued if it is abnormal sound alarm signal and by abnormal sound storage into abnormal sound library, concurrently
Send alarm signal to coal mine control centre；
S36. artificial judgment is above-mentioned recognizes whether abnormal sound is abnormal really, if it is determined that is normal sound, then adds manually
Add the sound to normal sound library.
The present invention has the advantages that compared with prior art.
1, the present invention uses the detection method based on sound, with assigned personnel's tour and video monitoring detection method phase
Than detection speed is fast, high-efficient；
2, the present invention has two kinds of operating modes of voice training and voice recognition, can adjust work according to erecting bed actual conditions
Operation mode updates normal sound library；
3, the present invention uses sound detection, and the monitoring data amount based on sound is small, does not need additionally to lay optical fiber, existing using coal mine
There is looped network that remote data real-time Transmission can be realized；
4, the achievable coal mine down-hole tunnel twenty four hours real-time monitoring of the present invention, notes abnormalities and issues alarm signal in time, keep away
Manpower-free fails timely cyclic in-position measuring and causes the deterioration of unusual condition in tunnel；
5, the present invention can be used as single machine use, can also be used by interface module and multiple main frames cascade, to realize a lane
The abnormality detection in the even entire all tunnels of underground coal mine in road.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the device of that embodiment of the invention；
Fig. 2 is the circuit diagram of control module in the device of that embodiment of the invention；
Fig. 3 is present invention method overview flow chart；
Fig. 4 is the flow chart of voice training in present invention method；
Fig. 5 is the flow chart of voice recognition in present invention method.
In figure: 1- fixed bracket, 2- host, 3- data memory module, 4- control module, 5- power module, 6- interface mould
Block, 7- microphone array, 8- sound card module, 9- data processing module.
Specific embodiment
Following further describes the present invention with reference to the drawings.
As shown in Figure 1, being a kind of knot of the coal mine roadway exception monitoring device based on sound provided in an embodiment of the present invention
Structure schematic diagram；Including host 2, host is equipped with metal shell, is internally provided with data memory module 3, control module 4, power supply mould
Block 5, interface module 6, sound card module 8 and data processing module 9, metal shell upside are provided with fixed bracket 1, and side is provided with
Microphone array 7 and interface module 6.Metal shell passes through fixed bracket 1 and is fixed on coal mine roadway wall, microphone array
7 are used to sound in collection of coal mine tunnel, and acquisition sound is passed to sound card module 8, and sound card module 8 is converted by acoustic-electric by sound
Sound signal is converted to electric signal, and electric signal is then passed to data processing module 9, and data processing module 9 is realized to electric signal
Processing analysis, and analysis result is stored in data memory module 3.As shown in Fig. 2, 4 one side realization device work of control module
The conversion of operation mode, control module 4 include button and electromagnetic relay, and button is connected with the data processing module 9, electromagnetism after
The input terminal of electric appliance is connected by zener diode with data processing module 9, the output end of electromagnetic relay and the interface mould
Block 6 is connected, and is on the other hand controlled by data processing module 9 and realizes alarm signal output.Power module 5 is mainly used to deposit data
Store up module 3, control module 4, power module 5, interface module 6, sound card module 8, data processing module 9 and microphone array 7
It is powered.Interface module 6 is mainly used to external power supply, device cascade and information output.
Metal shell is that the nichrome with anti-electromagnetic interference performance is process；And metal shell inner surface is provided with
Red copper net, data processing module 9 are the DSP cached with RAM, and it is TMS320VC5441's that TI company model, which may be used herein,
DSP, data memory module 3 use the Flash memory module of model AT29C256.Sound card module 8 uses at PCM2707 audio
Manage module.Microphone array uses Beamforming technology, and inside includes 16 microphone linear array ovalisation arrangements, uses
Model XFM10621.Interface module 6 uses a nine core waterproof Aviation Connectors.
A kind of coal mine roadway method for monitoring abnormality based on sound that the embodiment of the present invention also provides, based on above-mentioned one kind
Coal mine roadway exception monitoring device based on sound is completed, and host 2 has to the position in installation tunnel without depositing dust water injector
It sets, and carries out dustproof and waterproof processing.When multiple main frames 2 are installed, device standoff distance is about 50 meters, is cascaded between host 2,
And alarm signal line is connected to coal mine control centre.As shown in figure 3, detection method mainly comprises the steps that
S10. it installs on host 2 to coal mine roadway wall, and starts host 2；
S20. carry out voice training: one period of setting, all sound in device collection of coal mine tunnel, by signal processing,
Characteristic parameter extraction and identification classification, the normal sound characteristic storage that will identify that establish normal sound in data memory module
Sound library；
S30. after the completion of voice training, transformation working pattern is device voice recognition mode.Own in device collection of coal mine tunnel
Sound is classified by signal processing, characteristic parameter extraction and identification, when sound characteristic and sound characteristic phase in normal sound library
It is determined as that tunnel is normal simultaneously, is otherwise determined as exception, abnormal sound is stored in exception database, and send alarm signal extremely
Coal mine control centre.
As shown in figure 4, voice training method the following steps are included:
S21. all sound in 7 collection of coal mine tunnel of microphone array；
S22. sound card module 8 is converted by acoustic-electric voice signal being converted to analog electrical signal；
S23. analog electrical signal becomes digital signal by signal threshold value control, programming amplifying, program control filtering and analog-to-digital conversion；
S24. MFCC(mel cepstrum coefficients are carried out) characteristic parameter extraction, extract sound characteristic, specific steps are as follows:
A. preemphasis, framing and adding window first are carried out to audio digital signal；
B. to each short-time analysis window, corresponding frequency spectrum is obtained by FFT Fourier transformation；
C. frequency spectrum above is obtained into Mel frequency spectrum by Mel Meier filter group；
D. cepstral analysis is carried out on Mel frequency spectrum and take logarithm, do inverse transformation, practical inverse transformation becomes generally by discrete cosine
Realization is brought, the 2nd after taking discrete cosine transform to the 13rd coefficient obtains Mel frequency cepstral coefficient as MFCC coefficient
MFCC, this MFCC are exactly the feature of this frame voice signal；
S25. HMM(Hidden Markov Model is used) voice recognition classification is carried out, by the above-mentioned sound characteristic identified and normally
Acoustic contrast in voice bank is added to normal sound library if it is new normal sound feature, otherwise continues acquisition point
Analysis；
S26. training total time is set, then terminates to train when reaching the training time.The voice training time sets in the embodiment of the present invention
It is set to week age, guarantees the normal sounds collected in coal mine roadway as far as possible more.
After the completion of normal sound library is established, when setting device operating mode is voice recognition mode, device acquires coal in real time
Mine tunnel sound is simultaneously analyzed.As shown in figure 5, sound identification method mainly comprises the steps that
S31. all sound in 7 collection of coal mine tunnel of microphone array；
S32. sound card module 8 is converted by acoustic-electric voice signal being converted to analog electrical signal；
S33. analog electrical signal becomes digital signal by signal threshold value control, programming amplifying, program control filtering and analog-to-digital conversion；
S34. MFCC characteristic parameter extraction is carried out to digital signal, extracts sound characteristic；
S35. voice recognition classification is carried out using HMM to sound characteristic, by the above-mentioned sound characteristic identified and normal sound library
In acoustic contrast, then issued if it is abnormal sound alarm signal and by abnormal sound storage into abnormal sound library, concurrently
Send alarm signal to coal mine control centre；
Although being particularly shown and describing the present invention referring to its exemplary embodiment, those skilled in the art should
Understand, in the case where not departing from the spirit and scope of the present invention defined by claim, form and thin can be carried out to it
Various changes on section.
Claims (7)
1. a kind of coal mine roadway exception monitoring device based on sound, it is characterised in that: be arranged in coal mine roadway, including host
(2), host (2) is equipped with metal shell, is equipped with data memory module (3), sound card module (8), data processing mould in metal shell
Block (9), metal shell side be equipped with microphone array (7), microphone array (7) for sound in collection of coal mine tunnel, and
Acquisition sound is passed to sound card module (8), sound card module (8) is converted by acoustic-electric voice signal being converted to electric signal, so
Electric signal is passed to data processing module (9) afterwards, data processing module (9) is by voice training and voice recognition, to telecommunications
Number processing analysis, judge whether generate exception, and by analysis result be stored in data memory module (3).
2. a kind of coal mine roadway exception monitoring device based on sound according to claim 1, it is characterised in that: further include
Control module (4), power module (5) and interface module (6) in the metal shell, control module (4) and interface are set
Module (6) is connected, and control module (4) is connected with interface module (6), and the side of the metal shell is arranged in interface module (6).
3. a kind of coal mine roadway exception monitoring device based on sound according to claim 1, it is characterised in that: the gold
Belong to and is provided with fixed bracket (1) on the top surface of shell.
4. a kind of coal mine roadway exception monitoring device based on sound according to claim 2, it is characterised in that: the control
Molding block (4) includes button and electromagnetic relay, and button is connected with the data processing module (9), the input of electromagnetic relay
End is connected by zener diode with data processing module (9), the output end of electromagnetic relay and the interface module (6) phase
Even.
5. a kind of coal mine roadway method for monitoring abnormality based on sound, it is characterised in that: any described based on claim 1-4
A kind of coal mine roadway exception monitoring device completion based on sound, comprising the following steps:
S10. host (2) is installed on the wall of coal mine roadway, and starts host (2)；
S20. voice training is carried out: one training time section of setting, all sound in microphone array (7) collection of coal mine tunnel,
Mould is stored in data by signal processing, characteristic parameter extraction and identification classification, the normal sound characteristic storage that will identify that
Block (3), establishes normal sound library；
S30. voice recognition: all sound in microphone array (7) collection of coal mine tunnel is carried out, is joined by signal processing, feature
Number extracts and identification classification, is determined as coal mine lane when collected sound characteristic is identical as sound characteristic in normal sound library
Road is normal, is otherwise determined as exception, and abnormal sound is stored in abnormal sound library, and sends alarm signal into coal mine control
The heart.
6. a kind of coal mine roadway method for monitoring abnormality based on sound according to claim 5, it is characterised in that: the step
Rapid S20 the following steps are included:
S21. all sound in microphone array (7) collection of coal mine tunnel；
S22. in training time section, sound card module (8) is converted by acoustic-electric voice signal being converted to analog electrical signal；
S23. analog electrical signal becomes digital signal by signal threshold value control, programming amplifying, program control filtering and analog-to-digital conversion；
S24. MFCC characteristic parameter extraction is carried out to digital signal, extracts sound characteristic；
S25. voice recognition classification is carried out using HMM to sound characteristic, by the above-mentioned sound characteristic identified and normal sound library
In acoustic contrast be added to normal sound library if it is new normal sound feature, otherwise continue collection analysis；
S26. when reaching training time section, then terminate to train.
7. a kind of coal mine roadway method for monitoring abnormality based on sound according to claim 5, it is characterised in that: the step
Rapid S30 the following steps are included:
S31. all sound in microphone array (7) collection of coal mine tunnel；
S32. sound card module (8) is converted by acoustic-electric voice signal being converted to analog electrical signal；
S33. analog electrical signal becomes digital signal by signal threshold value control, programming amplifying, program control filtering and analog-to-digital conversion；
S34. MFCC characteristic parameter extraction is carried out to digital signal, extracts sound characteristic；
S35. voice recognition classification is carried out using HMM to sound characteristic, by the above-mentioned sound characteristic identified and normal sound library
In acoustic contrast, then issued if it is abnormal sound alarm signal and by abnormal sound storage into abnormal sound library, concurrently
Send alarm signal to coal mine control centre；
S36. artificial judgment is above-mentioned recognizes whether abnormal sound is abnormal really, if it is determined that is normal sound, then adds manually
Add the sound to normal sound library.
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Cited By (9)
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|---|---|---|---|---|
| CN110239914A (en) * | 2019-06-19 | 2019-09-17 | 太原理工大学 | Infrared audiovisual frequency spectrum fusion conveyer belt longitudinal tear detection prior-warning device and method |
| CN112065504A (en) * | 2020-09-15 | 2020-12-11 | 中国矿业大学(北京) | Mine explosion disaster alarming method and system based on voice recognition |
| CN113571083A (en) * | 2021-07-08 | 2021-10-29 | 上海绿联智能科技股份有限公司 | Refrigerator multi-microphone mixed sound abnormity identification method and device and electronic equipment |
| WO2021228059A1 (en) * | 2020-05-14 | 2021-11-18 | 华为技术有限公司 | Fixed sound source recognition method and apparatus |
| CN114109800A (en) * | 2021-12-03 | 2022-03-01 | 河南省高远公路养护技术有限公司 | Hydraulic plunger pump fault diagnosis device and method based on sound recognition technology |
| CN114821921A (en) * | 2022-04-02 | 2022-07-29 | 太原理工大学 | Intelligent voiceprint recognition platform for monitoring running state of important auxiliary equipment of thermal power plant |
| CN115984194A (en) * | 2022-12-16 | 2023-04-18 | 浙江大信科技股份有限公司 | UWB accurate positioning base station intelligent management system based on Internet of things |
| CN117031183A (en) * | 2023-10-09 | 2023-11-10 | 北京谛声科技有限责任公司 | Intelligent voiceprint terminal equipment and industrial equipment operation state monitoring method |
| CN118245475A (en) * | 2024-05-30 | 2024-06-25 | 北京联创高科信息技术有限公司 | Unified management method and system for coal mine water damage data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110239914A (en) * | 2019-06-19 | 2019-09-17 | 太原理工大学 | Infrared audiovisual frequency spectrum fusion conveyer belt longitudinal tear detection prior-warning device and method |
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| CN113571083A (en) * | 2021-07-08 | 2021-10-29 | 上海绿联智能科技股份有限公司 | Refrigerator multi-microphone mixed sound abnormity identification method and device and electronic equipment |
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| CN115984194A (en) * | 2022-12-16 | 2023-04-18 | 浙江大信科技股份有限公司 | UWB accurate positioning base station intelligent management system based on Internet of things |
| CN115984194B (en) * | 2022-12-16 | 2023-06-20 | 浙江大信科技股份有限公司 | UWB accurate positioning base station intelligent management system based on Internet of things |
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| CN117031183B (en) * | 2023-10-09 | 2024-01-09 | 北京谛声科技有限责任公司 | Intelligent voiceprint terminal equipment and industrial equipment operation state monitoring method |
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