CN103729969B - Embedded geologic hazard video monitoring early warning system and method - Google Patents

Embedded geologic hazard video monitoring early warning system and method Download PDF

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CN103729969B
CN103729969B CN201410010337.0A CN201410010337A CN103729969B CN 103729969 B CN103729969 B CN 103729969B CN 201410010337 A CN201410010337 A CN 201410010337A CN 103729969 B CN103729969 B CN 103729969B
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signal
circuit
video monitoring
sensor
data
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CN103729969A (en
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莫思特
张斌
石爱军
马娟
黄喆
薛跃明
张德拉
王灿峰
李碧雄
邓建辉
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CHINA INSTITUTE FOR GEO-ENVIRONMENTAL MONITORING
Sichuan University
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CHINA INSTITUTE FOR GEO-ENVIRONMENTAL MONITORING
Sichuan University
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Abstract

The invention discloses a kind of embedded geologic hazard video monitoring early warning system and method.System by embedded front-end video monitoring apparatus, relay apparatus, wireless enter net arrangement three part form, embedded front-end video monitoring apparatus be arranged on monitoring site gather vision signal; Relay apparatus is arranged on mountain top, for transmission trunking; Wireless enter net arrangement be arranged on the cities and towns that can surf the Net, transfer signals to internet.Front controller gathers each sensing data, analytical calculation tentatively judge disaster situation, as required control open or close CCTV camera and infrared flashlight power supply, judge the condition of a disaster, output signal.The present invention has active and passive infrared night vision ability, not by limiting day and night, casualty loss can be reduced to minimum.Employing wind light mutual complementing is powered, energy saving mode of operation guarantees system worked well.Application trunking traffic mode can make the present invention effectively use in the underdeveloped area of communication.Early-warning and predicting precision is high, simple and practical.

Description

Embedded geologic hazard video monitoring early warning system and method
One, technical field
The present invention relates to a kind of monitoring and early warning of geologic hazard, particularly embedded geologic hazard video monitoring early warning system and method.
Two, background technology
Environmental hazard and geologic hazard cause country and the life of the people and the massive losses of property every year.Very important with warning to the prediction of environmental hazard and geologic hazard.In recent years significant progress is achieved to the forecasting and warning work of environmental hazard and geologic hazard.
Chinese patent CN201110062816.3 " Natural calamity monitoring method for early warning and system " discloses a kind of Natural calamity monitoring method for early warning and system, the natural conditions data of each monitoring point of information collecting device Real-time Collection and video monitoring data, and by information transmission equipment, natural conditions data and the video monitoring file obtained according to video monitoring data are sent to information handling system.Chinese patent CN201110224128.2 " Geological Hazards Monitoring early warning system and monitoring and pre-alarming method " "; Geological Hazards Monitoring early warning system comprises the some GNSS monitoring stations being distributed in area to be monitored; carry out real-time ground displacement to geologic hazards such as the avalanche that may be caused by surface displacement, landslide, rubble flow, surface collapse, sedimentation and ground fissures; and in conjunction with monitoring remote video; data processing is carried out to monitoring information; early warning information is issued automatically, thus object that is automatic, real-time prediction early warning is realized to the geologic hazard that may cause.Chinese patent CN201010297945.6 is " based on raininess, the geological hazards prediction system of slope soil moisture content and deformation quantity " comprise the automatic rain gauge of the rainfall raininess for monitoring geologic hazard point, for monitoring the soil moisture sensor of geologic hazard point soil moisture, for the omnibearing tilt sensor on the earth's surface and internal distortions of detecting geologic hazard point, for assessment of the omnibearing vision sensor of geologic hazard generation scale, for wireless transmission video and the embedded system of Monitoring Data and the Surveillance center's computing machine for carrying out geological hazards prediction forecast, Surveillance center's computing machine comprises communication module, data reception module, based on the geological hazards prediction module of rainfall raininess, geological hazards prediction module is carried out based on displacement of inclined plane-time curve, geological hazards prediction module based on soil moisture content and rainfall raininess and the geological hazards prediction module based on soil moisture content and Slope amount.The monitoring technique of video geologic hazard has all been used in above-mentioned several invention, but goes back Shortcomings: 1, be all monitoring under visible light, is not suitable for monitoring at night, 2, energy consumption is higher, need larger power supply, 3, communication bandwidth requires wider, must rely on ripe communication network.But Geological Hazards Monitoring place is often in remote mountain areas, cannot power, also there is no ripe communication system.Disaster time of origin is often at night, and because monitoring equipment can not use at night, disaster will cause very large personnel, material damage.
Three, summary of the invention
The object of the invention is for the deficiencies in the prior art, a kind of geological disaster monitoring system being mainly used in mountain area is provided, this system adopts wind light mutual complementing power supply mode, Energy Saving Strategy, application trunking traffic mode, has video disaster monitoring and the hazard analysis system of active and passive infrared night vision ability, not by limiting day and night, save the energy, the geologic hazard monitoring early-warning system that can use in the underdeveloped remote mountain village of communication and method.
The object of the invention is to reach like this: system by embedded front-end video monitoring apparatus, relay apparatus, wireless enter net arrangement three part form, embedded front-end video monitoring apparatus is arranged on monitoring site, for gathering vision signal; Relay apparatus be used for by the video signal transmission of embedded front-end video monitoring apparatus collection to wireless enter net arrangement; Wireless enter net arrangement be arranged on the cities and towns that can surf the Net; The vision signal of embedded front-end video monitoring apparatus collection by the relay transmission of relay apparatus to wireless enter net arrangement, then be transferred to internet by radio transmitting device; Relay apparatus is arranged on mountain top, for embedded front-end video monitoring apparatus and wireless enter data transmission trunking between net arrangement.
Containing front controller in embedded front-end video monitoring apparatus, front controller is for gathering the data of rain sensor, water level pressure sensor, pedestal acoustic pickup, top acoustic pickup, these sensing datas of analytical calculation, preliminary judgement disaster situation, control embedded front-end video monitoring apparatus running status according to disaster situation, and control the data communication between the data of head end video supervising device and relay apparatus.
Front controller is by ARM control circuit, power-supplying circuit and 4 road analog to digital conversion circuit compositions, 4 road analog to digital conversion circuits connect pedestal acoustic pickup, top acoustic pickup, rain sensor and water level pressure sensor respectively, and transfer digital signal to give ARM control circuit by connecing the simulating signal that pedestal acoustic pickup, top acoustic pickup, rain sensor and water level pressure sensor export; ARM control circuit is connected by the data-interface of universal input interface and 4 analog to digital conversion circuits, power-supplying circuit, infrared flashlight; ARM control circuit is connected with wireless bridge by netting twine, and wireless bridge is used for the data communication between embedded front-end video monitoring apparatus and relay apparatus; ARM control circuit is connected with CCTV camera by parallel communication interface; Power-supplying circuit is connected with ARM control circuit, infrared flashlight, CCTV camera; Power-supplying circuit is the control circuit with relay, and power-supplying circuit by the control of ARM control circuit, and opens or closes the power supply of CCTV camera and infrared flashlight under the control of ARM control circuit.
Embedded front-end video monitoring apparatus is provided with CCTV camera, infrared flashlight, front controller, front end wireless bridge.The each parts of embedded front-end video monitoring apparatus are arranged on vertical rod and pedestal, and vertical rod is fastenedly connected on pedestal, arrange solar energy photovoltaic panel, aerogenerator, front end antenna, rain sensor and cabinet above vertical rod; Aerogenerator is fixed on wind-power electricity generation support; Accumulator, honourable controller, CCTV camera, infrared flashlight, front controller and wireless bridge are arranged in cabinet, and top acoustic pickup is arranged on the below of cabinet; Be provided with water level pressure sensor in the below of vertical rod, vertically have a leak-off chute at bottom of upright rod, pedestal acoustic pickup is arranged on pedestal.
CCTV camera in front controller is made up of no-refrigeration infrared focal plane detector and peripheral circuit, visible light image sensor and peripheral circuit, programmable gate array and peripheral circuit, main memory circuit, DSP chip and its peripheral circuit, digital temperature sensor; The driver' s timing of no-refrigeration infrared focal plane detector and peripheral circuit, comprises major clock, reset signal, integrated signal provides by programmable gate array and peripheral circuit; The output signal of no-refrigeration infrared focal plane detector and peripheral circuit, comprises output pixel signal, row useful signal, the first row signal gives programmable gate array and peripheral circuit; The driver' s timing of visible light image sensor and peripheral circuit, comprises line synchronizing signal, field sync signal, clock signal, driver' s timing signal, exposure control signal provides by programme gate array and peripheral circuit; The pixel intensity signal of visible light image sensor and peripheral circuit gives programmable gate array and peripheral circuit; Main memory circuit is connected with programmable gate array and peripheral circuit and carries out data transmission; Digital signal processing chip and its peripheral circuit are connected with programmable gate array and peripheral circuit and carry out data transmission; The data of digital temperature sensor flow to programmable gate array; No-refrigeration infrared focal plane detector and visible light image sensor are welded in same printed board, and the corresponding sides laid parallel of imaging target surface.
Visible light image sensor and peripheral circuit are changed by visible light image sensor, Timing driver, visible light image sensor analog to digital conversion circuit forms, visible light image sensor can be CCD image sensor or cmos image sensor, the line synchronizing signal that programmable gate array and peripheral circuit provide by Timing driver change-over circuit, field sync signal, clock signal, driver' s timing signal, exposure control signal converts the coherent signal meeting imageing sensor level demand to, the image analoging signal of visible light image sensor gives visible light image sensor analog to digital conversion circuit, the image analoging signal of visible light image sensor is converted to digital signal by visible light image sensor analog to digital conversion circuit, namely pixel intensity signal gives programmable gate array and peripheral circuit.
No-refrigeration infrared focal plane detector and peripheral circuit are by no-refrigeration infrared focal plane detector, power supply and biasing circuit, amplification and filtering circuit, and analog to digital conversion circuit is formed; Power supply and biasing circuit provide power supply and offset signal for no-refrigeration infrared focal plane detector, the image outputting analog signal of no-refrigeration infrared focal plane detector is by after amplifying and amplifying with filtering circuit, convert digital signal to through analog to digital conversion circuit and flow to programmable gate array, the major clock of no-refrigeration infrared focal plane detector, reset signal, integrated signal, row useful signal, the first row signal are connected with programmable gate array.
By embedded front-end video monitoring apparatus, relay apparatus, wireless enter net arrangement three part form early warning system, embedded front-end video monitoring apparatus is arranged on monitoring site, for gathering vision signal; Relay apparatus be used for by the video signal transmission of embedded front-end video monitoring apparatus collection to wireless enter net arrangement; Wireless enter net arrangement be arranged on the cities and towns that can surf the Net; The vision signal of embedded front-end video monitoring apparatus collection by the relay transmission of relay apparatus to wireless enter net arrangement, then be transferred to internet by radio transmitting device; Relay apparatus is arranged on mountain top, for embedded front-end video monitoring apparatus and wireless enter data transmission trunking between net arrangement.
Containing front controller in embedded front-end video monitoring apparatus, front controller is for gathering rain sensor, water level pressure sensor, pedestal acoustic pickup, the data of top acoustic pickup, these sensing datas of analytical calculation, preliminary judgement disaster situation, embedded front-end video monitoring apparatus running status is controlled according to disaster situation, and the data communication controlled between the data of head end video supervising device and relay apparatus, the running status of control system according to actual needs, control the power supply opening or closing CCTV camera and infrared flashlight, judge whether sensor output signal is in geo-hazard early-warning or alarm condition, and output signal is transferred to relay apparatus by wireless bridge, finally be transferred to wireless enter net arrangement, thus be transferred to internet.
Front controller carries out as follows to the control of system: front controller is by ARM control circuit, power-supplying circuit and 4 road analog to digital conversion circuit compositions, 4 road analog to digital conversion circuits connect pedestal acoustic pickup, top acoustic pickup, rain sensor and water level pressure sensor respectively, and transfer digital signal to give ARM control circuit by connecing the simulating signal that pedestal acoustic pickup, top acoustic pickup, rain sensor and water level pressure sensor export; ARM control circuit is connected by the data-interface of universal input interface and 4 analog to digital conversion circuits, power-supplying circuit, infrared flashlight; ARM control circuit is connected with wireless bridge by netting twine, and wireless bridge is used for the data communication between embedded front-end video monitoring apparatus and relay apparatus; ARM control circuit is connected with CCTV camera by parallel communication interface; Power-supplying circuit is connected with ARM control circuit, infrared flashlight, CCTV camera; Power-supplying circuit by the control of ARM control circuit, and opens or closes the power supply of CCTV camera and infrared flashlight under the control of ARM control circuit; ARM control circuit gathers the output digit signals of pedestal acoustic pickup, top acoustic pickup, rain sensor and water level pressure sensor, judge whether to be in geo-hazard early-warning or alarm condition according to 4 sensor output signals, and the output signal of 4 sensors is transferred to relay apparatus by wireless bridge, finally be transferred to wireless enter net arrangement, thus be transferred to internet; According to normal and early-warning and predicting different situations, ARM control circuit startup power-supplying circuit be infrared flashlight and CCTV camera power and take pictures, transmitting image adopts different time, the frequency.
In normal state, it is that infrared flashlight and CCTV camera are powered once that ARM control circuit starts power-supplying circuit in every 10 minutes, and takes a photo, and photo is transferred to internet by wireless bridge; Under early warning or alarm condition, ARM control circuit start power-supplying circuit be infrared flashlight and CCTV camera continued power, by wireless bridge by CCTV camera Image Real-time Transmission to internet.
Good effect of the present invention is:
1, the present invention is video disaster monitoring and the disaster analysis device with active and passive infrared night vision ability, not by limiting day and night, using night as disaster prewarning and forecasting wins the quality time, being reduced to by casualty loss minimum.
2, adopt wind light mutual complementing to power, save energy mode, power supply is taken pictures as required, guarantees power self-support, guarantee that early warning system normally works, reduce the maintenance of equipment, maintenance, use manpower and material resources sparingly, particularly in the area of bad environments, more advantage can be highlighted.
3, apply trunking traffic mode, by relay apparatus, wireless enter net arrangement ensure communication, can effectively use this geologic hazard monitoring early-warning system in the underdeveloped remote mountain village of communication, reach the object of disaster prewarning and forecasting.
4, there is disaster analysis ability, in front controller, adopt ARM control circuit to carry out initial analysis to scene, reduce wrong report, significantly improve early-warning and predicting accuracy.
Four, accompanying drawing explanation
Fig. 1 is overall system architecture schematic diagram.
Fig. 2 is embedded front-end video monitoring apparatus schematic diagram.
Fig. 3 is front controller structural representation.
Fig. 4 is analog to digital conversion circuit figure in front controller.
Fig. 5 ~ Figure 11 is microprocessor ARM control circuit figure.
Figure 12 is power-supplying circuit figure.
Figure 13 is CCTV camera structural representation.
Figure 14 is visible light image sensor and peripheral circuit.
Figure 15 visible light image sensor analog to digital conversion circuit figure.
Figure 16 is visible light image sensor circuit diagram.
Figure 17 is Timing driver change-over circuit figure.
Figure 18 is no-refrigeration infrared focal plane detector and peripheral circuit diagram.
Figure 19 is power supply and biasing circuit and no-refrigeration infrared focal plane detector circuit figure.
Figure 20 is filtering and amplifying circuit figure.
Figure 21 analog to digital conversion circuit figure.
Figure 22 ~ 25 are programmable gate array and peripheral circuit diagram.
Figure 26 ~ 27 are memory circuit diagrams.
Figure 28 ~ 34 are digital signal processing chip and peripheral circuit.
Figure 35 is ARM control flow chart.
Figure 36 is visible ray control flow chart.
Figure 37 is digital signal processing chip flow chart.
Figure 38 is waters computing block diagram.
In figure, 1 embedded front-end video monitoring apparatus, 2 relay apparatus, 3 wireless enter net arrangement, 4 water level pressure sensor, 5 leak-off chutes, 6 pedestals, 7 fixed orifices, 8 vertical rods, 9-1,9-2 solar energy photovoltaic panel, 10 aerogenerators, 11 wind-power electricity generation machine supports, 12 rain sensors, 13 cabinets, 14 accumulators, 15 honourable controllers, 16 CCTV cameras, 17 infrared flashlights, 18 front ends, 19 installation foundation, 20 top acoustic pickups, 21 pedestal acoustic pickups, 22 front controllers, 23 front end wireless bridges.
Five, embodiment
See accompanying drawing 1 ~ 3.
Embedded front-end video monitoring apparatus 1 is arranged on monitoring site, for gathering vision signal; Relay apparatus 2 for by the video signal transmission of embedded front-end video monitoring apparatus collection to wireless enter net arrangement; Wireless enter net arrangement 3 be arranged on the cities and towns that can surf the Net.The vision signal of embedded front-end video monitoring apparatus collection by the relay transmission of relay apparatus to wireless enter net arrangement, then be transferred to internet by radio transmitting device.Relay apparatus is arranged on mountain top, for embedded front-end video monitoring apparatus and wireless enter data transmission trunking between net arrangement.
Embedded front-end video monitoring apparatus is provided with CCTV camera 16, infrared flashlight 17, front controller 22, front end wireless bridge 23.The each parts of embedded front-end video monitoring apparatus are arranged on vertical rod 8 and pedestal 6, and vertical rod 8 is fastenedly connected on pedestal 6, arrange solar energy photovoltaic panel 9-1,9-2, aerogenerator 10, front end antenna 18, rain sensor 12 and cabinet 13 above vertical rod; Aerogenerator 10 is fixed on wind-power electricity generation support 11; Accumulator 14, honourable controller 15, CCTV camera 16, infrared flashlight 17, front controller 22 and wireless bridge 23 are arranged in cabinet 13, and top acoustic pickup 20 is arranged on the below of cabinet; Be provided with water level pressure sensor 4 in the below of vertical rod, vertically have a leak-off chute 5 at bottom of upright rod, pedestal acoustic pickup 21 is arranged on pedestal.
Vertical rod is fixed and is supported all the sensors and other relevant apparatus.The predictable peak level of vertical rod aspect ratio is high more than 1.5 meters.Vertical rod is generally hollow steel pipe, and its intensity can install every other sensor and relevant apparatus, and can resist the destructive power can predicting maximum rubble flow.Pedestal and vertical rod are fastened together, and are arranged on base bottom surface, contact with installation foundation, for fixing vertical rod on construction basis.In the present embodiment, the fixed orifice on pedestal is no less than 4, and fixed orifice is for being fixed on installation foundation by vertical rod.
Pedestal acoustic pickup is waterproof acoustic pickup, for gathering the sound by the earth transmission, is arranged on the below of pedestal base, the top on basis.The output of pedestal acoustic pickup is connected to the analog-to-digital analog input interface of front controller.Under top acoustic pickup is arranged on the cabinet at vertical rod top, can not do not had by water logging under foreseeable peak level, gather spatial sound.The output of top acoustic pickup is connected to the analog-to-digital analog input interface of front controller.The waterproof acoustic pickup KO-210 of Hangzhou Elite Audio Technology Co., Ltd. selected by pedestal acoustic pickup, top acoustic pickup.
Water level pressure sensor is for measuring the height of water level.Be arranged on the most lower short of vertical rod inside, the output of water level pressure sensor is connected to the analog-to-digital analog input interface of front controller, selects Beijing Shuan Kehengxin electromechanical meters company limited BPY800 type.Bottom vertical rod 2, vertically have a leak-off chute 5, make water can drain in vertical rod from leak-off chute, contact water level pressure sensor.
Solar energy photovoltaic panel, aerogenerator, wind-power electricity generation machine support, accumulator, honourable controller are the wind light generation equipment of system, for whole system provides the energy.Wind light generation equipment is provided as complete equipment by Zhenzhong Electric Co., Ltd., Chengdu.Solar energy photovoltaic panel, aerogenerator are arranged on vertical rod top, ensure to predict that maximum stage is not submerged.Accumulator, honourable controller are arranged in cabinet.
The rainfall amount on ground is installed in rain sensor induction, selects Xuzhou City celestial body high-tech research institute XYL-1 type tipping bucket rain gauge.Rain sensor exports the analog-to-digital analog input interface being connected to front controller.Cabinet for installing accumulator, honourable controller, CCTV camera, infrared flashlight, front controller, and does waterproofing design, ensures that accumulator, honourable controller, CCTV camera, infrared flashlight, front controller do not touch water.Cabinet setting height(from bottom) is more than foreseeable peak level.CCTV camera is for monitoring the visible light video signal of geologic hazard, passive infrared vision signal, active infrared video signal, and to light vision signal, passive infrared vision signal, active infrared video signal carries out video data fusion, disaster analysis.Infrared flashlight provides infrared light supply for active infrared video signal.Front end antenna then carries out data transmission with relay apparatus.
Installation foundation is the installation foundation of vertical rod, can select to install suitable rock foundation or install artificial basis, ground.Installation foundation requires to ensure the stable of vertical rod and vertical rod all devices, and vertical rod can be made to resist the impact of predictable maximum rubble flow.The present embodiment, infrared flashlight 17 adopts Shanghai Ling Shang Electro-optical Technology, INC. (US) 62 Martin Road, Concord, Massachusetts 017, model: LS-MCL-IR8D; Relay apparatus 2 adopts UBNT company of the U.S., model: NanoStationM5, honourable controller 15, solar energy photovoltaic panel 9-1,9-2, aerogenerator 10 forms wind-solar hybrid generating equipment jointly, adopts the set of equipments that Zhenzhong Electric Co., Ltd., Chengdu provides.
See accompanying drawing 3.Front controller is essential elements in system, gather the data of rain sensor, water level pressure sensor, pedestal acoustic pickup, top acoustic pickup, these sensing datas of analytical calculation, preliminary judgement disaster situation, control embedded front-end video monitoring apparatus running status according to disaster situation, and control the data communication between the data of head end video supervising device and relay apparatus.Front end wireless bridge is used for the data communication between head end video supervising device and relay apparatus, and the present embodiment adopts UBNT company of the U.S., model: NanoStationM5.
Fig. 4 is circuit in the modulus in front-end controlling circuit, 4 analog to digital conversion circuits adopt identical structure, IN connecting sensor modulating output, and UP5 is analog-digital conversion ic, 5th, 6 pin are serial data output interface, and the universal input/output interface different from two of ARM integrated circuit connects.UP4 is the operational amplifier OPA335 that TEXASINSTRUMENTS company of the U.S. produces; UP5 is that the modulus of TEXASINSTRUMENTS company of U.S. production is at conversion chip ADS1252.
Fig. 5 ~ 11 give microprocessor ARM control circuit figure.ARM control circuit controls whole system.In figure, U10 be American ATMEL produce AT91RM9200, U11 be micron technology inc of the U.S. produce 48LC4M32, U16 be TaiWan, China Realtek Semiconductor company produce RTL8201, J4 be RJ45 connector, for connecting wireless bridge.
See accompanying drawing 12.Power-supplying circuit is the control circuit with relay, and in figure ,+24V connects accumulator and exports, and POWER output monitoring video camera and infrared flashlight, transform to oneself required voltage pattern by each connecting circuit.The universal input/output interface that P1.0, P1.1 connect two of ARM integrated circuit different connects.U4: the relay HE721C that German HAMLIN company produces.
See Figure 13 ~ 17.CCTV camera is made up of no-refrigeration infrared focal plane detector and peripheral circuit, visible light image sensor and peripheral circuit, programmable gate array and peripheral circuit, main memory circuit, digital signal processing chip and its peripheral circuit, digital temperature sensor.The driver' s timing of no-refrigeration infrared focal plane detector and peripheral circuit, comprises major clock, reset signal, integrated signal provides by programmable gate array and peripheral circuit.The output signal of no-refrigeration infrared focal plane detector and peripheral circuit, comprises output pixel signal, row useful signal, the first row signal gives programmable gate array and peripheral circuit.The driver' s timing of visible light image sensor and peripheral circuit, comprises line synchronizing signal, field sync signal, clock signal, driver' s timing signal, exposure control signal provides by programme gate array and peripheral circuit.The pixel intensity signal of visible light image sensor and peripheral circuit gives programmable gate array and peripheral circuit.Main memory circuit is connected with programmable gate array and peripheral circuit and carries out data transmission.Digital signal processing chip and its peripheral circuit are connected with programmable gate array and peripheral circuit and carry out data transmission.The data of digital temperature sensor flow to programmable gate array.No-refrigeration infrared focal plane detector and visible light image sensor are welded in same printed board, and the corresponding sides laid parallel of imaging target surface.Digital temperature sensor adopts Bo electricity Science and Technology Ltd. of Shenzhen to produce, model: DS18B20.
Visible light image sensor and peripheral circuit are changed by visible light image sensor, Timing driver, visible light image sensor analog to digital conversion circuit forms.Visible light image sensor can be CCD image sensor or cmos image sensor, the line synchronizing signal that programmable gate array and peripheral circuit provide by Timing driver change-over circuit, field sync signal, clock signal, driver' s timing signal, exposure control signal converts the coherent signal meeting imageing sensor level demand to, the image analoging signal of visible light image sensor gives visible light image sensor analog to digital conversion circuit, the image analoging signal of visible light image sensor is converted to digital signal by visible light image sensor analog to digital conversion circuit, namely pixel intensity signal gives programmable gate array and peripheral circuit.
In accompanying drawing 15, visible light image sensor analog to digital conversion circuit chip type selecting is AnalogDevic company of the U.S.: AD9949.In Figure 16, image sensor chip selects Japanese Sony Corporation: ICX285; In Figure 17, Timing driver change-over circuit chips type selecting is Japanese Sony Corporation: CXD3400.
Figure 18 is no-refrigeration infrared focal plane detector and peripheral circuit diagram.No-refrigeration infrared focal plane detector and peripheral circuit are primarily of no-refrigeration infrared focal plane detector, power supply and biasing circuit, amplification and filtering circuit, and analog to digital conversion circuit is formed.Power supply and biasing circuit provide power supply and offset signal for no-refrigeration infrared focal plane detector, the image outputting analog signal of no-refrigeration infrared focal plane detector is by after amplifying and amplifying with filtering circuit, convert digital signal to through analog to digital conversion circuit and flow to programmable gate array, the major clock of no-refrigeration infrared focal plane detector, reset signal, integrated signal, row useful signal, the first row signal are connected with programmable gate array.
Figure 19 is power supply and biasing circuit and no-refrigeration infrared focal plane detector circuit figure.In figure, U3 no-refrigeration infrared focal plane detector is the UL01021E of French ULIS company, and U1, U2, U4, U5, U6, U7, U8 form power supply and biasing circuit.U1, U2 are the TPS79533 that TEXASINSTRUMENTS company of the U.S. produces; U4, U5 are the MAX6004 that MAXIM company of the U.S. produces; U6 is the LM317 that TEXASINSTRUMENTS company of the U.S. produces; U7, U8 are the TLV5638 that TEXASINSTRUMENTS company of the U.S. produces.MC: major clock; INT: integrated signal; RESET: reset signal; LIGNE1: the first row signal; DATAVAL: row useful signal; AOUT: export to amplification and filtering circuit.
Figure 20 is filtering and amplifying circuit figure.In figure, U1: be TEXASINSTRUMENTS company of the U.S.: OPA2890; AOUT interface is connected to the output of no-refrigeration infrared focal plane detector; ADCIN is connected to the input of analog to digital conversion circuit.In Figure 21 analog to digital conversion circuit figure, U1: TEXASINSTRUMENTS company of the U.S. produces OPA2890, AOUT: the output being connected to no-refrigeration infrared focal plane detector; ADCIN is connected to the input of analog to digital conversion circuit.
See accompanying drawing 22 ~ 25.
Programmable gate array and peripheral circuit circuit diagram.Programmable gate array chip selects XILINX company of the U.S.: XC3S1200.Figure 26 ~ 27 are memory circuit diagrams.Main memory circuit module has 2 pieces, and be connected on programming gate array and peripheral circuit, two identical internal memory U3, U4 adopt micron technology inc of the U.S.: MT48LC4M32.
Figure 28 ~ 34 are digital signal processing chip and peripheral circuit.In figure, U4: TEXASINSTRUMENTS company of the U.S. produces chip DM642; IC1, IC2 are that micron technology inc of the U.S. produces MT48LC8M32; IC3 is the AM29LV320 that AMD of the U.S. produces.
Figure 35 is ARM control flow chart.The control of system is undertaken by ARM control circuit, ARM control flow: start, the first step, T0=present system time, enters second step, gathers pedestal acoustic pickup and top trigger data, Fast Fourier Transform (FFT) is done to pedestal acoustic pickup and top trigger data, take out the range value of pedestal acoustic pickup and top acoustic pickup frequency-of-interest, data are dealt into internet, the 3rd step, gather water level pressure sensor data, gather rain sensor data, data are dealt into internet, 4th step, judge whether that interested Frequency and Amplitude value is greater than early warning value, be, enter the 7th step, no, enter the 5th step, do you judge that level pressure is greater than early warning value? be, enter the 7th step, no, enter the 6th step, judge whether that rainfall amount is greater than early warning value, be, enter the 7th step, no, T1=present system time, judge T1-T0 > 10 minutes, no, return second step, be, power-supplying circuit switches on power, gather a two field picture, and send images to internet, feed circuit deenergization, T0=T1, return second step, 7th step: power-supplying circuit switches on power, T0=present system time, continuous acquisition image, and send images to internet and return second step.
The output signal of no-refrigeration infrared focal plane detector and peripheral circuit in CCTV camera in front controller, comprise output pixel signal, row useful signal, the first row signal give programmable gate array and peripheral circuit, the driver' s timing signal of programmable gate array gives no-refrigeration infrared focal plane detector, the program circuit of its programmable gate array is: the first step, exports driver' s timing; Second step, reads in no-refrigeration infrared focal plane detector image signal; 3rd step, image rectification; 4th step, the data after correction flow to digital signal processor; 5th step, returns second step, moves in circles; The method for correcting image of no-refrigeration infrared focal plane detector comprises experiment test image correction parameters and image rectification two parts:
Experiment test image correction parameters: video camera is placed on 0,1,2,3 ... under 60 degrees Celsius of environment, measure the target that photographic subjects is 0 degree Celsius and 60 degrees Celsius respectively, by environment temperature x degree Celsius, the i-th row at photographic subjects temperature 0 degree Celsius, the measurement value of jth row is labeled as X0ij (x), by environment temperature x degree Celsius, the i-th row at photographic subjects temperature 60 degrees Celsius, the measurement value of jth row is labeled as Xhij (x); Under computing environment temperature x degree Celsius: Gij (x)=255/ (Xhij (x)-X0ij (x)), Qij (x)=-Gij (x) X0ij (x); Obtain Gij (x), Qij (x) under environment temperature x degree Celsius, the i-th row, jth row correction parameter;
Method for correcting image: the first step, reads temperature from digital temperature sensor, second step, according to temperature, reads correction parameter, the i-th row under design calculates environment temperature x degree Celsius, and the correction parameter of jth row is respectively Gij (x), Qij (x); 3rd step, reads no-refrigeration infrared focal plane detector image signal, if the i-th row read, the data of jth row are Dij; 4th step, correction data=Gij (x) Dij+Qij (x).
Figure 36 is visible ray control flow chart.The visible light image sensor workflow of CCTV camera programmable gate array in front controller: start, the first step, to visible light image sensor transmission timing; Arrange imageing sensor gate value, the slowest fast gate value, maximum frame per second, minimum frame per second, maximum gain, least gain the most quickly, second step, reads in view data from imageing sensor; Obtain colour signal after Bayer computing, white balance computing are carried out to view data, send digital signal processing chip by colour signal; Calculate 8 gray image signals to colour signal, the 3rd step, is greater than the sum of all pixels of 200 in N=gray image signals, X=N/ total number of image pixels 100, does 4th step, judge X > 5? enter the 8th step: no, the 5th step, do you judge gain=maximum gain? no, enter the 9th step, be, the 6th step, do you judge shutter=the slowest shutter? no, enter the tenth step, be, 7th step, frame per second=minimum frame per second? start flashlamp, get back to second step, no, enter the 11 step;
8th step: judge whether X is greater than 30, no: directly to return second step, be judge frame per second=maximum frame per second? it is no; Run 8-1 step, be: judge shutter=maximum shutter? no: running 8-2 step, is judge gain=least gain, be, get back to second step, no, run 8-3 step
Does 8-1 walk: the frame per second 1.2 of frame per second=originally, judges the maximum frame per second of frame per second >? no, get back to second step, be, frame per second=maximum frame per second, gets back to second step;
8-2 walks: shutter/1.2 of shutter=originally, no, judge the fastest shutter of shutter <? no, turn back to second step, be, shutter=shutter, returns second step,
Does 8-3 walk: gain=originally gain/1.2, judge gain < least gain? no, get back to second step, be, gain=least gain, gets back to second step;
9th step: the gain 1.2 of gain=originally, judges gain G reatT.GreaT.GT maximum gain? no, get back to second step, be, gain=maximum gain, gets back to second step;
Tenth step: the slowest shutter of shutter 1.2, shutter > of shutter=originally? no, return second step, be, shutter=shutter, returns second step;
11 step: close flashlamp; Do frame per second/1.2 of frame per second=originally, judge the minimum frame per second of frame per second <? no, get back to second step, be, frame per second=minimum frame per second, gets back to second step;
Figure 37 is digital signal processing chip flow chart.The flow process of digital signal processing chip is: start, the first step, arranges maximum waters bit matrix S, when the pixel that the i-th row j arranges is positioned at maximum waters, and Sij=1, otherwise Sij=0, pixel corresponding relation between infrared focal plane detector and visible light sensor is set, arrange and merge pixel a, second step, reads frame infrared focal plane detector data, according to the pixel corresponding relation between infrared focal plane detector with visible light sensor, focus planardetector data are transformed into the matrix identical with visible light sensor data, make its matrix be IR, read a frame visible light sensor gradation data, make it be matrix P, read flashlamp and open variable F, 3rd step, i=1, j=1, 4th step, do you judge F=0? be, Oij=Pij, enter the 6th step, no, do you judge Sij=1? no, enter the 5th step, be, Oij=IRija+(1-a) Pij, enter the 6th step, 5th step, Oij=REij, RE is last picture gradation data before flashlamp is opened, 6th step, i=i+1, 7th step, do you judge i > M? no, return the 4th step, be, 8th step, i=1, j=j=1, 9th step, do you judge j > N? no, return the 4th step, be, enter the tenth step, j=1, 11 step, waters calculates, return second step, move in circles.
During calculating, maximum stage matrix of areas is determined according to history maximum stage, and fusion coefficients a experimentally determines; Visible light sensor pixel resolution is the capable N row of M; RE is the visible light sensor gradation data of last frame before unlatching flashlamp.Matrix O is the data after calculating visible light sensor and infrared focal plane detector fusion treatment.
Figure 38 is waters computing block diagram.The flow process that waters calculates: start, the first step, arranges binaryzation thresholding k; Expansion texture element P is set; Expansion times N is set; Second step, consecutive frame respective pixel gray scale is subtracted each other, and gets poor absolute value, makes it be Matrix C; If Cij > is k, respective pixel Dij=1, otherwise Dij=0; Do N dilation operation with expansion texture element P to D, after computing, result is E; 3rd step, is transferred to internet by matrix O, E, terminates.
Wherein, matrix D is binaryzation matrix; Matrix E is that waters calculates.

Claims (8)

1. an embedded geologic hazard video monitoring early warning system, it is characterized in that: system by embedded front-end video monitoring apparatus, relay apparatus, wireless enter net arrangement three part form, embedded front-end video monitoring apparatus is arranged on monitoring site, for gathering vision signal; Relay apparatus be used for by the video signal transmission of embedded front-end video monitoring apparatus collection to wireless enter net arrangement; Wireless enter net arrangement be arranged on the cities and towns that can surf the Net; The vision signal of embedded front-end video monitoring apparatus collection by relay apparatus relay transmission to wireless enter net arrangement, then by wireless enter net arrangement be transferred to internet; Relay apparatus is arranged on mountain top, for embedded front-end video monitoring apparatus and wireless enter data transmission trunking between net arrangement;
Containing front controller in embedded front-end video monitoring apparatus, front controller is for gathering the data of rain sensor, water level pressure sensor, pedestal acoustic pickup, top acoustic pickup, these sensing datas of analytical calculation, preliminary judgement disaster situation, control embedded front-end video monitoring apparatus running status according to disaster situation, and control the data communication between the data of head end video supervising device and relay apparatus;
Described front controller is by ARM control circuit, power-supplying circuit and 4 road analog to digital conversion circuit compositions, 4 road analog to digital conversion circuits connect pedestal acoustic pickup, top acoustic pickup, rain sensor and water level pressure sensor respectively, and the simulating signal that pedestal acoustic pickup, top acoustic pickup, rain sensor and water level pressure sensor export is transferred to digital signal and gives ARM control circuit; ARM control circuit is connected by the data-interface of universal input/output interface and 4 analog to digital conversion circuits, power-supplying circuit, infrared flashlight; ARM control circuit is connected with wireless bridge by netting twine, and wireless bridge is used for the data communication between embedded front-end video monitoring apparatus and relay apparatus; ARM control circuit is connected with CCTV camera by parallel communication interface; Power-supplying circuit is connected with ARM control circuit, infrared flashlight, CCTV camera; Power-supplying circuit is the control circuit with relay, and power-supplying circuit by the control of ARM control circuit, and opens or closes the power supply of CCTV camera and infrared flashlight under the control of ARM control circuit.
2. embedded geologic hazard video monitoring early warning system as claimed in claim 1, is characterized in that: embedded front-end video monitoring apparatus is provided with CCTV camera (16), infrared flashlight (17), front controller (22), front end wireless bridge (23); The each parts of embedded front-end video monitoring apparatus are arranged on vertical rod (8) and pedestal (6), vertical rod (8) is fastenedly connected on pedestal (6), arranges solar energy photovoltaic panel (9-1,9-2), aerogenerator (10), front end (18), rain sensor (12) and cabinet (13) above vertical rod; Aerogenerator (10) is fixed on wind-power electricity generation machine support (11); Accumulator (14), honourable controller (15), CCTV camera (16), infrared flashlight (17), front controller (22) and front end wireless bridge (23) are arranged in cabinet (13), and top acoustic pickup (20) is arranged on the below of cabinet; Be provided with water level pressure sensor (4) in the below of vertical rod, vertically have a leak-off chute (5) at bottom of upright rod, pedestal acoustic pickup (21) is arranged on pedestal.
3. embedded geologic hazard video monitoring early warning system as claimed in claim 1, is characterized in that: the CCTV camera in described front controller is made up of no-refrigeration infrared focal plane detector and peripheral circuit, visible light image sensor and peripheral circuit, programmable gate array and peripheral circuit, main memory circuit, DSP chip and its peripheral circuit, digital temperature sensor; The driver' s timing of no-refrigeration infrared focal plane detector and peripheral circuit, comprises major clock, reset signal, integrated signal provides by programmable gate array and peripheral circuit; The output signal of no-refrigeration infrared focal plane detector and peripheral circuit, comprises output pixel signal, row useful signal, the first row signal gives programmable gate array and peripheral circuit; The driver' s timing of visible light image sensor and peripheral circuit, comprises line synchronizing signal, field sync signal, clock signal, driver' s timing signal, exposure control signal provides by programme gate array and peripheral circuit; The pixel intensity signal of visible light image sensor and peripheral circuit gives programmable gate array and peripheral circuit; Main memory circuit is connected with programmable gate array and peripheral circuit and carries out data transmission; Digital signal processing chip and its peripheral circuit are connected with programmable gate array and peripheral circuit and carry out data transmission; The data of digital temperature sensor flow to programmable gate array; No-refrigeration infrared focal plane detector and visible light image sensor are welded in same printed board, and the corresponding sides laid parallel of imaging target surface.
4. embedded geologic hazard video monitoring early warning system as claimed in claim 3, is characterized in that: described visible light image sensor and peripheral circuit are changed by visible light image sensor, Timing driver, visible light image sensor analog to digital conversion circuit forms, visible light image sensor can be CCD image sensor or cmos image sensor, the line synchronizing signal that programmable gate array and peripheral circuit provide by Timing driver change-over circuit, field sync signal, clock signal, driver' s timing signal, exposure control signal converts the coherent signal meeting imageing sensor level demand to, the image analoging signal of visible light image sensor gives visible light image sensor analog to digital conversion circuit, the image analoging signal of visible light image sensor is converted to digital signal by visible light image sensor analog to digital conversion circuit, namely pixel intensity signal gives programmable gate array and peripheral circuit,
Described no-refrigeration infrared focal plane detector and peripheral circuit are by no-refrigeration infrared focal plane detector, power supply and biasing circuit, amplification and filtering circuit, and analog to digital conversion circuit is formed; Power supply and biasing circuit provide power supply and offset signal for no-refrigeration infrared focal plane detector, the image outputting analog signal of no-refrigeration infrared focal plane detector is by after amplifying and amplifying with filtering circuit, convert digital signal to through analog to digital conversion circuit and flow to programmable gate array, the major clock of no-refrigeration infrared focal plane detector, reset signal, integrated signal, row useful signal, the first row signal are connected with programmable gate array.
5. an embedded geologic hazard video monitoring method for early warning, it is characterized in that: by embedded front-end video monitoring apparatus, relay apparatus, wireless enter net arrangement three part form early warning system, embedded front-end video monitoring apparatus is arranged on monitoring site, for gathering vision signal; Relay apparatus be used for by the video signal transmission of embedded front-end video monitoring apparatus collection to wireless enter net arrangement; Wireless enter net arrangement be arranged on the cities and towns that can surf the Net; The vision signal of embedded front-end video monitoring apparatus collection by the relay transmission of relay apparatus to wireless enter net arrangement, then be transferred to internet by radio transmitting device; Relay apparatus is arranged on mountain top, for embedded front-end video monitoring apparatus and wireless enter data transmission trunking between net arrangement;
Containing front controller in embedded front-end video monitoring apparatus, front controller is for gathering rain sensor, water level pressure sensor, pedestal acoustic pickup, the data of top acoustic pickup, these sensing datas of analytical calculation, preliminary judgement disaster situation, embedded front-end video monitoring apparatus running status is controlled according to disaster situation, and the data communication controlled between the data of head end video supervising device and relay apparatus, the running status of control system according to actual needs, control the power supply opening or closing CCTV camera and infrared flashlight, judge whether sensor output signal is in geo-hazard early-warning or alarm condition, and output signal is transferred to relay apparatus by wireless bridge, finally be transferred to wireless enter net arrangement, thus be transferred to internet,
Front controller carries out as follows to the control of system: front controller is by ARM control circuit, power-supplying circuit and 4 road analog to digital conversion circuit compositions, 4 road analog to digital conversion circuits connect pedestal acoustic pickup, top acoustic pickup, rain sensor and water level pressure sensor respectively, and transfer digital signal to give ARM control circuit by connecing the simulating signal that pedestal acoustic pickup, top acoustic pickup, rain sensor and water level pressure sensor export; ARM control circuit is connected by the data-interface of universal input interface and 4 analog to digital conversion circuits, power-supplying circuit, infrared flashlight; ARM control circuit is connected with wireless bridge by netting twine, and wireless bridge is used for the data communication between embedded front-end video monitoring apparatus and relay apparatus; ARM control circuit is connected with CCTV camera by parallel communication interface; Power-supplying circuit is connected with ARM control circuit, infrared flashlight, CCTV camera; Power-supplying circuit by the control of ARM control circuit, and opens or closes the power supply of CCTV camera and infrared flashlight under the control of ARM control circuit; ARM control circuit gathers the output digit signals of pedestal acoustic pickup, top acoustic pickup, rain sensor and water level pressure sensor, judge whether to be in geo-hazard early-warning or alarm condition according to 4 sensor output signals, and the output signal of 4 sensors is transferred to relay apparatus by wireless bridge, finally be transferred to wireless enter net arrangement, thus be transferred to internet; According to normal and early-warning and predicting different situations, ARM control circuit startup power-supplying circuit be infrared flashlight and CCTV camera power and take pictures, transmitting image adopts different time, the frequency.
6. embedded geologic hazard video monitoring method for early warning as claimed in claim 5, it is characterized in that: in normal state, it is that infrared flashlight and CCTV camera are powered once that ARM control circuit starts power-supplying circuit in every 10 minutes, and take a photo, and photo is transferred to internet by wireless bridge; Under early warning or alarm condition, ARM control circuit start power-supplying circuit be infrared flashlight and CCTV camera continued power, by wireless bridge by CCTV camera Image Real-time Transmission to internet.
7. embedded geologic hazard video monitoring method for early warning as claimed in claim 5, it is characterized in that: front controller is undertaken by ARM control circuit the control of system, ARM control flow: start, the first step, T0=present system time, enter second step, gather pedestal acoustic pickup and top trigger data; Fast Fourier Transform (FFT) is done to pedestal acoustic pickup and top trigger data; Take out the range value of pedestal acoustic pickup and top acoustic pickup frequency-of-interest; Data are dealt into internet, the 3rd step, gather water level pressure sensor data; Gather rain sensor data; Data are dealt into internet; 4th step, has judged whether that interested Frequency and Amplitude value is greater than early warning value, has been, entered the 7th step, no, enters the 5th step; 5th: judge that level pressure is greater than early warning value? enter the 7th step, no, enter the 6th step; 6th step: judge whether that rainfall amount is greater than early warning value, be, enters the 7th step, no, T1=present system time, judges T1-T0 > 10 minutes, no, return second step, be, power-supplying circuit switches on power, gather a two field picture, and send images to internet, feed circuit deenergization, T0=T1, returns second step; 7th step: power-supplying circuit switches on power, T0=present system time, continuous acquisition image, and send images to internet and return second step;
The output signal of no-refrigeration infrared focal plane detector and peripheral circuit in CCTV camera in front controller, comprise output pixel signal, row useful signal, the first row signal give programmable gate array and peripheral circuit, the driver' s timing signal of programmable gate array gives no-refrigeration infrared focal plane detector, the program circuit of its programmable gate array is: the first step, exports driver' s timing; Second step, reads in no-refrigeration infrared focal plane detector image signal; 3rd step, image rectification; 4th step, the data after correction flow to digital signal processor; 5th step, returns second step, moves in circles;
The visible light image sensor workflow of CCTV camera programmable gate array in front controller: start, the first step, to visible light image sensor transmission timing; Imageing sensor gate value, the slowest fast gate value, maximum frame per second, minimum frame per second, maximum gain, least gain is the most quickly set; Second step, reads in view data from imageing sensor; Obtain colour signal after Bayer computing, white balance computing are carried out to view data, send digital signal processing chip by colour signal; 8 gray image signals are calculated to colour signal; 3rd step, is greater than the sum of all pixels of 200 in N=gray image signals, X=N/ total number of image pixels 100; Does 4th step, judge X > 5? enter the 8th step: no, does 5th step, judge gain=maximum gain? no, enter the 9th step, that the 6th step, judges shutter=the slowest shutter? no, enter the tenth step, be, the 7th step, frame per second=minimum frame per second? start flashlamp, get back to second step, no, enter the 11 step;
8th step: judge whether X is greater than 30, no: directly to return second step, be judge frame per second=maximum frame per second? no, run 8-1 step, be: judge shutter=maximum shutter? no: running 8-2 step, is judge gain=least gain, get back to second step, no, run 8-3 step;
Does 8-1 walk: the frame per second 1.2 of frame per second=originally, judges the maximum frame per second of frame per second >? no, get back to second step, be, frame per second=maximum frame per second, gets back to second step;
8-2 walks: shutter/1.2 of shutter=originally, no, judge the fastest shutter of shutter <? no, turn back to second step, be, shutter=shutter, returns second step,
Does 8-3 walk: gain=originally gain/1.2, judge gain < least gain? no, get back to second step, be, gain=least gain, gets back to second step;
9th step: the gain 1.2 of gain=originally, judges gain G reatT.GreaT.GT maximum gain? no, get back to second step, be, gain=maximum gain, gets back to second step;
Tenth step: the slowest shutter of shutter 1.2, shutter > of shutter=originally? no, return second step, be, shutter=shutter, returns second step;
11 step: close flashlamp; Do frame per second/1.2 of frame per second=originally, judge the minimum frame per second of frame per second <? no, get back to second step, be, frame per second=minimum frame per second, gets back to second step;
The flow process of digital signal processing chip is: start, the first step, arranges maximum waters bit matrix S, when the pixel that the i-th row j arranges is positioned at maximum waters, and Sij=1, otherwise Sij=0; Pixel corresponding relation between infrared focal plane detector and visible light sensor is set; Fusion coefficients a is set; Second step, reads frame infrared focal plane detector data; According to the pixel corresponding relation between infrared focal plane detector with visible light sensor, focus planardetector data are transformed into the matrix identical with visible light sensor data, make its matrix be IR; Read a frame visible light sensor gradation data, make it be matrix P; Read flashlamp and open variable F; 3rd step, i=1, j=1; Does 4th step, judge F=0?, Oij=Pij enter the 6th step, no, judge Sij=1? no, enter the 5th step, be, Oij=IRija+ (1-a) Pij, enter the 6th step; 5th step, Oij=REij, RE are last picture gradation data before flashlamp is opened; 6th step, i=i+1, does the 7th step, judge i > image pixels across M? no, return the 4th step, be, enter the 8th step; 8th step: i=1, j=j=1, the 9th step: judge the longitudinal pixel N of j > image? no, return the 4th step, be, enter the tenth step; Tenth step: j=1, the 11 step: waters calculates, and returns second step, moves in circles;
The flow process that waters calculates: start, the first step, arranges binaryzation thresholding k; Expansion texture element P is set; Expansion times N is set; Second step, consecutive frame respective pixel gray scale is subtracted each other, and gets poor absolute value, makes it be Matrix C; If Cij > is k, respective pixel Dij=1, otherwise Dij=0; Do N dilation operation with expansion texture element P to D, after computing, result is E; 3rd step, is transferred to internet by matrix O, E, terminates.
8. embedded geologic hazard video monitoring method for early warning as claimed in claim 7, is characterized in that: the method for correcting image of no-refrigeration infrared focal plane detector comprises experiment test image correction parameters and image rectification two parts:
Experiment test image correction parameters: video camera is placed on 0,1,2,3 ... under 60 degrees Celsius of environment, measure the target that photographic subjects is 0 degree Celsius and 60 degrees Celsius respectively, by environment temperature x degree Celsius, the i-th row at photographic subjects temperature 0 degree Celsius, the measurement value of jth row is labeled as X0ij (x), by environment temperature x degree Celsius, the i-th row at photographic subjects temperature 60 degrees Celsius, the measurement value of jth row is labeled as Xhij (x); Calculate under environment temperature x degree Celsius: Gij (x)=255/ (Xhij (x)-X0ij (x)), Qij (x)=-Gij (x) X0ij (x); Obtain Gij (x), Qij (x) under environment temperature x degree Celsius, the i-th row, jth row correction parameter;
Method for correcting image: the first step, reads environment temperature from digital temperature sensor, second step, environmentally temperature, reads correction parameter, the i-th row under design calculates environment temperature x degree Celsius, the correction parameter of jth row is respectively Gij (x), Qij (x); 3rd step, reads no-refrigeration infrared focal plane detector image signal, if the i-th row read, the data of jth row are Dij; 4th step, correction data=Gij (x) Dij+Qij (x).
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