CN104501968A - Infrared continuous fire source monitoring method and infrared continuous fire source monitoring system - Google Patents
Infrared continuous fire source monitoring method and infrared continuous fire source monitoring system Download PDFInfo
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Abstract
The invention relates to an infrared continuous fire source monitoring method and an infrared continuous fire source monitoring system. The infrared continuous fire source monitoring method includes the steps of gray image acquisition, gray image correction, average gray value and maximum gray value acquisition, correcting temperature acquisition and maximum temperature monitoring. The infrared continuous fire source monitoring method and the infrared continuous fire source monitoring system have the advantages that a temperature measuring equipment production flow is decreased, production efficiency is improved and product cost is reduced; by means of gray image correction during temperature measurement, temperature measurement is completely free from dependency on mechanical correcting components, so that service life of equipment is prolonged greatly, and uninterrupted, full-real-time and frame-loss-free correction is achieved truly; equipment stability is improved greatly, the method and the system are quite suitable for people to work outdoors for a long time, and a solid technical support is provided for application of infrared thermal imaging to the field; since prestored gray image correction is adopted for infrared temperature measurement, a correction process is uninterrupted, continuous temperature measurement is achieved, video frame loss during monitoring cannot occur, continuous temperature measurement monitoring is achieved truly, and further, monitoring effects are improved.
Description
Technical field
The present invention relates to a kind of burning things which may cause a fire disaster monitoring system, particularly relate to a kind of continuous burning things which may cause a fire disaster monitoring method and system of carrying out infrared nothing correction interruption.
Background technology
Along with the development of electronic technology, infrared imaging and infrared measurement of temperature are applied to multiple fields that people produce and live more and more widely.Any temperature of occurring in nature is higher than the object of absolute zero, capital ceaselessly space radiation towards periphery comprises the electromagnetic wave of infrared band, the temperature of body surface is higher, and infrared energy is more, therefore can utilize the Warm status of infrared radiation measurement body surface.The infrared measurement of temperature of prior art, complex structure, need special black matrix and other reference substance, cost is high.Program is in large-area forest, and fire is caused by hidden fire often, and this is the root of destructive forest fire, and uses existing common detecting methods, is difficult to find this recessive fire symptom of a trend.And apply infrared thermography and fast and effeciently can find these hidden fire, and accurately can judge place and the scope of fire, but the temperature measuring equipment of traditional infrared thermal imaging, produce and cost of equipment maintenance very high, and just need mechanical checkout once at interval of a period of time, all can there is video frame losing phenomenon in each mechanical checkout process, and in the equipment course of work, mechanical school parts are especially easily malfunctioning.Mechanical checkout part fails is the main cause causing infrared thermal imaging equipment cisco unity malfunction, causes the infrared thermal imaging equipment failure rate using mechanical checkout method at present to remain high.Infrared thermal imaging equipment of such application be generally all arranged on buildings or the peak in forest zone, mountain range, unusual labor intensive material resources during maintenance maintenance, the after-sales service cost of great number limits the large-area applications of infrared thermal imaging in this field.
Summary of the invention
The technical matters that the present invention solves is: build a kind of infrared continuous burning things which may cause a fire disaster monitoring method and system, reduce manufacturing cost, improve production efficiency, overcome existing infrared measurement of temperature equipment usually to need to carry out mechanical checkout, image is caused to interrupt, the technical matters that plant machinery fault is many, reduces maintenance cost.In addition, patent of the present invention also overcomes prior art video frame losing in trimming process, affects the technical matters of monitoring effect.
Technical scheme of the present invention is: provide a kind of infrared continuous burning things which may cause a fire disaster monitoring method, comprise the infrared focus plane sensor array be made up of infrared focus plane sensor, described infrared continuous burning things which may cause a fire disaster monitoring method comprises the steps:
Prestore gray level image: the gray level image of several homogeneous temperature objects under the infrared focus plane sensor array different working temperature conditions that prestores.
Gather gray level image: the gray level image being obtained search coverage by infrared focus plane sensor array and optical facilities;
Correct: by the difference of the gray level image of current collection with the gray level image of several homogeneous temperature objects prestored, the gray level image of the most uniform for difference gray level image and collection is done poor correction;
Acquisition average gray value and the highest gray-scale value: obtain appointed area in search coverage and correct the average gray value of rear image and the highest gray-scale value of the rear image of search coverage correction, described appointed area comprises the region outside the highest gray-scale value region;
Obtain Tc: the corresponding relation according to calibration temperature and image intensity value obtains the temperature that in search coverage, appointed area average gray value is corresponding, using the difference of the average gray value corresponding temperature of appointed area in environment temperature and search coverage as Tc;
Monitoring maximum temperature: the corresponding relation according to calibration temperature and image intensity value obtains the first temperature corresponding to the highest gray-scale value in search coverage, adopts described Tc to carry out correcting the temperature that in acquisition search coverage, the highest gray-scale value is corresponding by described first temperature.
Further technical scheme of the present invention is: the corresponding relation of described calibration temperature and image intensity value is the homologous thread relation of calibration temperature and image intensity value.
Further technical scheme of the present invention is: the corresponding relation of described calibration temperature and image intensity value comprises the corresponding relation of calibration temperature at infrared focus plane sensor different operating temperature and image intensity value, gets the corresponding relation of calibration temperature under current infrared focus plane senor operating temperature and image intensity value.
Further technical scheme of the present invention is: carrying out in aligning step, the gray level image of corresponding for most for difference homogeneous image prestore gray level image and the current collection of infrared focus plane sensor is done difference and carries out single point correction.
Further technical scheme of the present invention is: carrying out in aligning step, and the gray level image of several homogeneous temperature objects described is several prestore gray level images close with current environmental temperature.
Further technical scheme of the present invention is: in monitoring maximum temperature step, also comprise and arrange high temperature alarm threshold value, carry out high temperature alarm when the temperature that the highest gray-scale value is corresponding in search coverage exceedes high temperature alarm threshold value.
Further technical scheme of the present invention is: in monitoring maximum temperature step, also comprise the difference threshold of the maximum temperature current environmental temperature arranging monitoring, if report to the police when the difference of the maximum temperature current environmental temperature of monitoring is greater than difference threshold.
Further technical scheme of the present invention is: build a kind of infrared continuous burning things which may cause a fire disaster monitoring system, comprise the infrared focus plane sensor array be made up of infrared focus plane sensor, the acquisition module gathering gray level image, correction module, average gray value acquisition module, the highest gray-scale value acquisition module, Tc acquisition module, monitoring modular that gray level image is corrected, obtained the gray level image of search coverage by infrared focus plane sensor array and optical facilities; Described correction module prestores the gray level image of several homogeneous temperature objects under infrared focus plane sensor array different working temperature conditions, obtain the difference of the gray level image of current collection and the gray level image of several homogeneous temperature objects respectively, the gray level image of the search coverage detectable signal of the gray level image of background image corresponding for the most uniform for difference image and the collection of infrared focus plane sensor is done difference and corrects by described correction module; Described average gray value acquisition module obtains the average gray value in search coverage after the correction of appointed area, and described appointed area comprises the region outside the highest gray-scale value region; The highest described gray-scale value acquisition module obtains the highest gray-scale value after correcting in search coverage; Corresponding relation according to calibration temperature and image intensity value obtains the temperature that in search coverage, appointed area average gray value is corresponding, described Tc acquisition module using the difference of the average gray value corresponding temperature of appointed area in environment temperature and search coverage as Tc; Described monitoring modular obtains the first temperature corresponding to the highest gray-scale value in search coverage according to the corresponding relation of calibration temperature and image intensity value, described first temperature is adopted described Tc to carry out correcting the temperature that in acquisition search coverage, the highest gray-scale value is corresponding.
Further technical scheme of the present invention is: the corresponding relation of described calibration temperature and image intensity value comprises the corresponding relation of calibration temperature at infrared focus plane sensor different operating temperature and image intensity value, gets the corresponding relation of calibration temperature under current infrared focus plane senor operating temperature and image intensity value.
Further technical scheme of the present invention is: also comprise high temperature alarm module, and described high temperature alarm module installation high temperature alarm threshold value, carries out high temperature alarm when the temperature that the highest gray-scale value is corresponding in search coverage exceedes high temperature alarm threshold value.
Technique effect of the present invention is: build a kind of infrared continuous burning things which may cause a fire disaster monitoring method and system, comprise the infrared focus plane sensor array be made up of infrared focus plane sensor, obtained the gray level image of search coverage by infrared focus plane sensor array and optical facilities; By the difference of the gray level image of current collection with the gray level image of several homogeneous temperature objects prestored, the gray level image of the most uniform for difference gray level image and collection is done poor correction; Obtain appointed area in search coverage and correct the average gray value of rear image and the highest gray-scale value of the rear image of search coverage correction, described appointed area comprises the region outside the highest gray-scale value region; Corresponding relation according to calibration temperature and image intensity value obtains the temperature that in search coverage, appointed area average gray value is corresponding, using the difference of the average gray value corresponding temperature of appointed area in environment temperature and search coverage as Tc; Corresponding relation according to calibration temperature and image intensity value obtains the first temperature corresponding to the highest gray-scale value in search coverage, described first temperature is adopted described Tc to carry out correcting the temperature that in acquisition search coverage, the highest gray-scale value is corresponding.The infrared continuous burning things which may cause a fire disaster monitoring method of patent of the present invention and system, decrease temperature measuring equipment production procedure, improve production efficiency, reduce cost of products; Corrected by the gray level image in thermometric process, be completely free of the dependence to mechanical checkout parts, substantially prolongs the serviceable life of equipment, real realization is not interrupted correcting, and entirely in real time, damages without frame.Greatly improve the stability of equipment, very suitable environment out of doors works long hours, and is the solid technical support that infrared thermal imaging provides in the application in this field.Correct because infrared measurement of temperature of the present invention have employed the gray level image that prestores, trimming process is not interrupted, and achieves continuous temperature measurement, and in observation process, there will not be video frame losing, has really accomplished continuous temperature measurement monitoring, has improve monitoring effect.
Accompanying drawing explanation
Fig. 1 is structural representation of the present invention.
Fig. 2 is temperature of the present invention and image intensity value curved line relation.
Fig. 3 is temperature at sensor different operating temperature of the present invention and image intensity value curved line relation.
Embodiment
Below in conjunction with specific embodiment, technical solution of the present invention is further illustrated.
The specific embodiment of the present invention is: provide a kind of infrared continuous burning things which may cause a fire disaster monitoring method, comprise be made up of infrared focus plane sensor infrared focus plane sensor array, optical facilities, described infrared continuous burning things which may cause a fire disaster monitoring method comprises the steps:
Prestore gray level image: the gray level image of several homogeneous temperature objects under the infrared focus plane sensor array different working temperature conditions that prestores.
Specific implementation process is: the gray level image gathering several homogeneous temperature objects under infrared focus plane sensor array different working temperature conditions in advance, is then prestored.The corresponding pixel of each sensor unit of infrared focus plane sensor array, namely all sensors unit detectable signal of infrared focus plane sensor array becomes a width gray level image through conversion process.
Gather gray level image: the gray level image being obtained search coverage by infrared focus plane sensor array and optical facilities.
Specific implementation process is: in infrared focus plane sensor detection areas, the object of this search coverage of sensor senses in infrared focus plane sensor array, and rear end equipment obtains the output voltage of sensor, is the gray level image of digital signal through analog to digital conversion.That is, gather the detectable signal in search coverage, obtain the gray level image of this detectable signal.
Correct: by the difference of the gray level image of current collection with the gray level image of several homogeneous temperature objects prestored, the gray level image of the most uniform for difference gray level image and collection is done poor correction.
Specific implementation process is as follows: the gray level image prestoring several homogeneous temperature objects under this infrared focus plane sensor array different working temperature conditions, then the gray level image of several homogeneous temperature objects is chosen, for the detectable signal in the search coverage gathered, the gray level image obtaining this detectable signal is done difference with the gray level image of several homogeneous temperature objects chosen respectively, obtain the gray level image difference of multiple correspondence, the gray level image choosing background image corresponding to the most uniform image of difference is gray level image corrected value, the gray level image of the search coverage detectable signal of this gray level image corrected value and collection is done difference correct, obtain the gray level image after the correction of search coverage detectable signal.In specific embodiment, the gray level image of search coverage detectable signal is corrected to the mode comprising and carry out single-point and two point correction, also comprise other correcting mode.
Acquisition average gray value and the highest gray-scale value: obtain appointed area in search coverage and correct the average gray value of rear image and the highest gray-scale value of the rear image of search coverage correction, described appointed area comprises the region outside the highest gray-scale value region.
Specific implementation process is as follows: the part or all of region of specifying search coverage, obtain the gray level image after the correction of this appointed area detectable signal, then average, get the mean value that this appointed area corrects rear gray level image, must get the average gray value of this appointed area detectable signal, described appointed area comprises the region outside the highest gray-scale value region.Get the highest gray-scale value after the correction of search coverage detectable signal.
Obtain Tc: the corresponding relation according to calibration temperature and image intensity value obtains the temperature that in search coverage, appointed area average gray value is corresponding, using the difference of the average gray value corresponding temperature of appointed area in environment temperature and search coverage as Tc.
Specific implementation process is as follows: calibration temperature and image intensity value have corresponding relation, corresponding relation according to calibration temperature and image intensity value obtains the temperature that in search coverage, appointed area average gray value is corresponding, in specific embodiment, the corresponding relation of described calibration temperature and image intensity value is a kind of curved line relation, is the homologous thread relation of calibration temperature and image intensity value.
The homologous thread relation of calibration temperature and image intensity value is built in advance by system, does not need to build during each thermometric, and its concrete building process is as follows:
Obtain the relation of temperature and grey scale curve, first set up the mathematical model of temperature t and image intensity value g, and the image intensity value g under gathering different temperatures t, then computation model coefficient, finally obtains model formation.Now illustrate and how to obtain model formation:
Set up the mathematical model that is set up temperature t and image intensity value g: g=a*t
3+ b*t
2+ c*t+d; Wherein t is temperature, and g is gray scale, and a, b, c, d are constant.
Image data: respectively collecting temperature t1, t2, t3, gray-scale value g=g1, g2, g3, g4 during t4.
Above-mentioned t and g is substituted into model g=a*t respectively
3+ b*t
2in+c*t+d, obtain following system of equations:
Separate above-mentioned system of equations and can obtain a, the value of b, c, d.
The pass of temperature t and image intensity value g is homologous thread relation, and curved line relation can be represented by polynomial equation, and therefore, the mathematical model of temperature t and image intensity value g can have multiple mathematical model mode, such as g=a*t
4+b*t
3+ c*t
2+ d*t+e; G=a*t
2+ b*t+c; Etc. various polynomial form and distortion.
The average gray value corresponding temperature of appointed area in environment temperature and search coverage is done a difference, using this difference as Tc.
Monitoring maximum temperature: the corresponding relation according to calibration temperature and image intensity value obtains the first temperature corresponding to the highest gray-scale value in search coverage, adopts described Tc to carry out correcting the temperature that in acquisition search coverage, the highest gray-scale value is corresponding by described first temperature.
Specific implementation process is as follows: the corresponding relation according to calibration temperature and image intensity value obtains the first temperature corresponding to the highest gray-scale value in search coverage, go to correct described first temperature with described Tc, that is: by described Tc and described first temperature and be correct after search coverage in temperature corresponding to the highest gray-scale value.Thus, the maximum temperature in sensor detection areas is measured.
As shown in Figure 2 and Figure 3, Fig. 2 is sensor array gray-scale value and temperature curve when being listed in 60 degrees Celsius.Fig. 3 be sensor array when being listed in 20 degrees Celsius and-20 degrees Celsius time gray-scale value and temperature curve.The preferred embodiment of the present invention is: because the corresponding relation of calibration temperature and image intensity value affects by infrared focus plane senor operating temperature, the outer focal plane array sensor working temperature of Different Red, the corresponding relation of calibration temperature and image intensity value has different, therefore, prestore the corresponding relation of calibration temperature at infrared focus plane sensor different operating temperature and image intensity value, during work, get the corresponding relation of calibration temperature under current infrared focus plane senor operating temperature and image intensity value.By the working temperature of current infrared focus plane sensor, select the homologous thread relation of calibration temperature under this working temperature and image intensity value, determine that the temperature that gray level image is corresponding is more accurate.Because the corresponding relation of calibration temperature and image intensity value affects by external environment condition working temperature, also should set up the homologous thread relation of calibration temperature under multiple ambient temperature and image intensity value, then, determine according to environment nowadays temperature with temperature corresponding to the homologous thread relation determination gray level image of the calibration temperature under this ambient temperature and image intensity value.
The preferred embodiment of the present invention is: because calibration temperature and image intensity value have corresponding relation, when determining its corresponding relation, calibration temperature is less, its curve is more accurate, calibration temperature and the corresponding relation of image intensity value of reaction are more accurate, therefore, corresponding value is carried out as required.Usually the curve carrying out corresponding relation with 1 degree to 5 degree of scopes is determined.
The preferred embodiment of the present invention is: carrying out in aligning step, when choosing the gray level image of several homogeneous temperature objects, due to affected by environment, preferably selects several prestore gray level images close with current environmental temperature to correct.
The preferred embodiment of the present invention is: in monitoring maximum temperature step, also comprise and arrange high temperature alarm threshold value, carry out high temperature alarm when the temperature that the highest gray-scale value is corresponding in search coverage exceedes high temperature alarm threshold value.Type of alarm comprises the various ways such as audio alert, flicker warning or Notes of Key Data warning.
The preferred embodiment of the present invention is: in monitoring maximum temperature step, also comprise the difference threshold of the maximum temperature current environmental temperature arranging monitoring, if report to the police when the difference of the maximum temperature current environmental temperature of monitoring is greater than difference threshold.Optimum embodiment is that current environmental temperature gets the temperature around the maximum temperature of monitoring, if the projecting current environmental temperature of highest temperature region, then temperature anomaly, implements to report to the police.
As shown in Figure 1, specific embodiment of the invention process is: build a kind of infrared continuous burning things which may cause a fire disaster monitoring system, comprises the infrared focus plane sensor array be made up of infrared focus plane sensor, the acquisition module 1 gathering gray level image, the correction module 2, average gray value acquisition module 3, the highest gray-scale value acquisition module 4, Tc acquisition module 5, the monitoring modular 6 that correct gray level image.Described acquisition module 1 obtains the gray level image of search coverage by infrared focus plane sensor array and optical facilities; Described correction module 2 prestores the gray level image of several homogeneous temperature objects under infrared focus plane sensor array different working temperature conditions, obtain the difference of the gray level image of current collection and the gray level image of several homogeneous temperature objects respectively, the gray level image of the search coverage detectable signal of the gray level image of background image corresponding for the most uniform for difference image and the collection of infrared focus plane sensor is done difference and corrects by described correction module 2; Described average gray value acquisition module 3 obtains the average gray value in search coverage after the correction of appointed area, and described appointed area comprises the region outside the highest gray-scale value region; The highest described gray-scale value acquisition module 4 obtains the highest gray-scale value after correcting in search coverage; Corresponding relation according to calibration temperature and image intensity value obtains the temperature that in search coverage, appointed area average gray value is corresponding, described Tc acquisition module 5 using the difference of the average gray value corresponding temperature of appointed area in environment temperature and search coverage as Tc; Described monitoring modular 6 obtains the first temperature corresponding to the highest gray-scale value in search coverage according to the corresponding relation of calibration temperature and image intensity value, described first temperature is adopted described Tc to carry out correcting the temperature that in acquisition search coverage, the highest gray-scale value is corresponding.
The homologous thread relation of calibration temperature and image intensity value is built in advance by system, does not need to build during each thermometric, and its concrete building process is as follows:
Obtain the relation of temperature and grey scale curve, first set up the mathematical model of temperature t and image intensity value g, and the image intensity value g under gathering different temperatures t, then computation model coefficient, finally obtains model formation.Now illustrate and how to obtain model formation:
Set up the mathematical model that is set up temperature t and image intensity value g: g=a*t
3+ b*t
2+ c*t+d; Wherein t is temperature, and g is gray scale, and a, b, c, d are constant.
Image data: respectively collecting temperature t1, t2, t3, gray-scale value g=g1, g2, g3, g4 during t4.
Above-mentioned t and g is substituted into model g=a*t respectively
3+ b*t
2in+c*t+d, obtain following system of equations:
Separate above-mentioned system of equations and can obtain a, the value of b, c, d.
The pass of temperature t and image intensity value g is homologous thread relation, and curved line relation can be represented by polynomial equation, and therefore, the mathematical model of temperature t and image intensity value g can have multiple mathematical model mode, such as g=a*t
4+b*t
3+ c*t
2+ d*t+e; G=a*t
2+ b*t+c; Etc. various polynomial form and distortion.
Specific implementation process is as follows: in infrared focus plane sensor detection areas, the object of this search coverage of sensor senses in infrared focus plane sensor array, and rear end equipment obtains the output voltage of sensor, is the gray level image of digital signal through analog to digital conversion.That is, described acquisition module 1 gathers the detectable signal in search coverage, obtains the gray level image of this detectable signal.Described correction module 2 prestores the gray level image of several homogeneous temperature objects under this infrared focus plane sensor array different working temperature conditions, then the gray level image of several homogeneous temperature objects is chosen, for the detectable signal in the search coverage gathered, the gray level image obtaining this detectable signal is done difference with the gray level image of several homogeneous temperature objects chosen respectively, obtain the gray level image difference of multiple correspondence, the gray level image choosing background image corresponding to the most uniform image of difference is gray level image corrected value, the gray level image of the search coverage detectable signal of this gray level image corrected value and collection is done difference and corrects by described correction module 2, obtain the gray level image after the correction of search coverage detectable signal.In specific embodiment, the gray level image of search coverage detectable signal is corrected to the mode comprising and carry out single-point and two point correction, also comprise other correcting mode.Specify the part or all of region of search coverage, obtain the gray level image after the correction of this appointed area detectable signal, then average, average gray value acquisition module 3 obtains the mean value that this appointed area corrects rear gray level image, namely obtain the average gray value of this appointed area detectable signal, described appointed area comprises the region outside the highest gray-scale value region.The highest described gray-scale value acquisition module 4 obtains the highest gray-scale value after the correction of search coverage detectable signal.Calibration temperature and image intensity value have corresponding relation, corresponding relation according to calibration temperature and image intensity value obtains the temperature that in search coverage, appointed area average gray value is corresponding, in specific embodiment, the corresponding relation of described calibration temperature and image intensity value is a kind of curved line relation, is the homologous thread relation of calibration temperature and image intensity value.The average gray value corresponding temperature of appointed area in environment temperature and search coverage is done a difference, using this difference as Tc by described Tc acquisition module 5.Corresponding relation according to calibration temperature and image intensity value obtains the first temperature corresponding to the highest gray-scale value in search coverage, described monitoring modular 6 goes to correct described first temperature with described Tc, that is: by described Tc and described first temperature and be correct after search coverage in temperature corresponding to the highest gray-scale value.Thus, described monitoring modular 6 measures the maximum temperature in sensor detection areas.
Also comprise high temperature alarm module 7, described high temperature alarm module 7 arranges high temperature alarm threshold value, carries out high temperature alarm when the temperature that the highest gray-scale value is corresponding in search coverage exceedes high temperature alarm threshold value.
Technique effect of the present invention is: build a kind of infrared continuous burning things which may cause a fire disaster monitoring method and system, comprise the infrared focus plane sensor array be made up of infrared focus plane sensor, obtained the gray level image of search coverage by infrared focus plane sensor array and optical facilities; By the difference of the gray level image of current collection with the gray level image of several homogeneous temperature objects prestored, the gray level image of the most uniform for difference gray level image and collection is done poor correction; Obtain appointed area in search coverage and correct the average gray value of rear image and the highest gray-scale value of the rear image of search coverage correction, described appointed area comprises the region outside the highest gray-scale value region; Corresponding relation according to calibration temperature and image intensity value obtains the temperature that in search coverage, appointed area average gray value is corresponding, using the difference of the average gray value corresponding temperature of appointed area in environment temperature and search coverage as Tc; Corresponding relation according to calibration temperature and image intensity value obtains the first temperature corresponding to the highest gray-scale value in search coverage, described first temperature is adopted described Tc to carry out correcting the temperature that in acquisition search coverage, the highest gray-scale value is corresponding.The infrared continuous burning things which may cause a fire disaster monitoring method of patent of the present invention and system, decrease temperature measuring equipment production procedure, improve production efficiency, reduce cost of products; Corrected by the gray level image in thermometric process, be completely free of the dependence to mechanical checkout parts, substantially prolongs the serviceable life of equipment, real realization is interrupted without correcting, and entirely in real time, damages without frame.Greatly improve the stability of equipment, very suitable environment out of doors works long hours, and is the solid technical support that infrared thermal imaging provides in the application in this field.Correct because infrared measurement of temperature of the present invention have employed the gray level image that prestores, trimming process is not interrupted, achieve continuous temperature measurement, and in observation process, there will not be video frame losing, really accomplished continuous temperature measurement monitoring, improve monitoring effect.
Above content is in conjunction with concrete preferred implementation further description made for the present invention, can not assert that specific embodiment of the invention is confined to these explanations.For general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, some simple deduction or replace can also be made, all should be considered as belonging to protection scope of the present invention.
Claims (10)
1. an infrared continuous burning things which may cause a fire disaster monitoring method, is characterized in that, comprise be made up of infrared focus plane sensor infrared focus plane sensor array, optical facilities, described infrared continuous burning things which may cause a fire disaster monitoring method comprises the steps:
Prestore gray level image: the gray level image of several homogeneous temperature objects under the infrared focus plane sensor array different working temperature conditions that prestores;
Gather gray level image: the gray level image being obtained search coverage by infrared focus plane sensor array and optical facilities;
Correct: by the difference of the gray level image of current collection with the gray level image of several homogeneous temperature objects prestored, the gray level image of the most uniform for difference gray level image and collection is done poor correction;
Acquisition average gray value and the highest gray-scale value: obtain appointed area in search coverage and correct the average gray value of rear image and the highest gray-scale value of the rear image of search coverage correction, described appointed area comprises the region outside the highest gray-scale value region;
Obtain Tc: the corresponding relation according to calibration temperature and image intensity value obtains the temperature that in search coverage, appointed area average gray value is corresponding, using the difference of the average gray value corresponding temperature of appointed area in environment temperature and search coverage as Tc;
Monitoring maximum temperature: the corresponding relation according to calibration temperature and image intensity value obtains the first temperature corresponding to the highest gray-scale value in search coverage, adopts described Tc to carry out correcting the temperature that in acquisition search coverage, the highest gray-scale value is corresponding by described first temperature.
2. infrared continuous burning things which may cause a fire disaster monitoring method according to claim 1, it is characterized in that, the corresponding relation of described calibration temperature and image intensity value is the homologous thread relation of calibration temperature and image intensity value.
3. infrared continuous burning things which may cause a fire disaster monitoring method according to claim 1, it is characterized in that, the corresponding relation of described calibration temperature and image intensity value comprises the corresponding relation of calibration temperature at infrared focus plane sensor different operating temperature and image intensity value, gets the corresponding relation of calibration temperature under current infrared focus plane senor operating temperature and image intensity value.
4. infrared continuous burning things which may cause a fire disaster monitoring method according to claim 1, is characterized in that, carrying out in aligning step, the gray level image of corresponding for most for difference homogeneous image prestore gray level image and the current collection of infrared focus plane sensor is done difference and carries out single point correction.
5. infrared continuous burning things which may cause a fire disaster monitoring method according to claim 1, it is characterized in that, carrying out in aligning step, the gray level image of several homogeneous temperature objects described is several prestore gray level images close with current environmental temperature.
6. infrared continuous burning things which may cause a fire disaster monitoring method according to claim 1, is characterized in that, in monitoring maximum temperature step, also comprises and arranges high temperature alarm threshold value, carry out high temperature alarm when the temperature that the highest gray-scale value is corresponding in search coverage exceedes high temperature alarm threshold value.
7. infrared continuous burning things which may cause a fire disaster monitoring method according to claim 1, it is characterized in that, in monitoring maximum temperature step, also comprise the difference threshold of the maximum temperature current environmental temperature that monitoring is set, if report to the police when the difference of the maximum temperature current environmental temperature of monitoring is greater than difference threshold.
8. one kind infrared continuous burning things which may cause a fire disaster monitoring system, it is characterized in that, comprise be made up of infrared focus plane sensor infrared focus plane sensor array, optical facilities, the acquisition module of collection gray level image, correction module, average gray value acquisition module, the highest gray-scale value acquisition module, Tc acquisition module, monitoring modular that gray level image is corrected, obtained the gray level image of search coverage by infrared focus plane sensor array and optical facilities; Described correction module prestores the gray level image of several homogeneous temperature objects under infrared focus plane sensor array different working temperature conditions, obtain the difference of the gray level image of current collection and the gray level image of several homogeneous temperature objects respectively, the gray level image of the search coverage detectable signal of the gray level image of background image corresponding for the most uniform for difference image and the collection of infrared focus plane sensor is done difference and corrects by described correction module; Described average gray value acquisition module obtains the average gray value in search coverage after the correction of appointed area, and described appointed area comprises the region outside the highest gray-scale value region; The highest described gray-scale value acquisition module obtains the highest gray-scale value after correcting in search coverage; Corresponding relation according to calibration temperature and image intensity value obtains the temperature that in search coverage, appointed area average gray value is corresponding, described Tc acquisition module using the difference of the average gray value corresponding temperature of appointed area in environment temperature and search coverage as Tc; Described monitoring modular obtains the first temperature corresponding to the highest gray-scale value in search coverage according to the corresponding relation of calibration temperature and image intensity value, described first temperature is adopted described Tc to carry out correcting the temperature that in acquisition search coverage, the highest gray-scale value is corresponding.
9. infrared continuous burning things which may cause a fire disaster monitoring system according to claim 8, it is characterized in that, the corresponding relation of described calibration temperature and image intensity value comprises the corresponding relation of calibration temperature at infrared focus plane sensor different operating temperature and image intensity value, gets the corresponding relation of calibration temperature under current infrared focus plane senor operating temperature and image intensity value.
10. infrared continuous burning things which may cause a fire disaster monitoring system according to claim 8, it is characterized in that, also comprise high temperature alarm module, described high temperature alarm module installation high temperature alarm threshold value, carries out high temperature alarm when the temperature that the highest gray-scale value is corresponding in search coverage exceedes high temperature alarm threshold value.
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| CN106168683A (en) * | 2015-09-09 | 2016-11-30 | 河南联纵消防科技有限公司 | A kind of burning things which may cause a fire disaster fast accurate localization method |
| CN109187618A (en) * | 2018-09-21 | 2019-01-11 | 杭州纳戒科技有限公司 | Box for material circulation mechanism for monitoring and system |
| CN109461282A (en) * | 2019-01-09 | 2019-03-12 | 上海欧萨数据技术有限公司 | A kind of device and method monitoring temperature |
| CN110006535A (en) * | 2019-04-15 | 2019-07-12 | 中科和光（天津）应用激光技术研究所有限公司 | A kind of temp measuring method based on infrared thermal imaging technique |
| CN110726475A (en) * | 2019-10-12 | 2020-01-24 | 浙江大华技术股份有限公司 | Infrared temperature measurement calibration method and device, infrared thermal imaging equipment and storage device |
| CN111207833A (en) * | 2020-01-15 | 2020-05-29 | 中科和光（天津）应用激光技术研究所有限公司 | Temperature measurement method based on image data normalization technology |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106168683A (en) * | 2015-09-09 | 2016-11-30 | 河南联纵消防科技有限公司 | A kind of burning things which may cause a fire disaster fast accurate localization method |
| CN106168683B (en) * | 2015-09-09 | 2020-01-24 | 河南联纵消防科技有限公司 | Rapid and accurate positioning method for fire source |
| CN109187618A (en) * | 2018-09-21 | 2019-01-11 | 杭州纳戒科技有限公司 | Box for material circulation mechanism for monitoring and system |
| CN109187618B (en) * | 2018-09-21 | 2020-11-20 | 杭州纳戒科技有限公司 | Logistics box monitoring mechanism and system |
| CN109461282A (en) * | 2019-01-09 | 2019-03-12 | 上海欧萨数据技术有限公司 | A kind of device and method monitoring temperature |
| CN110006535A (en) * | 2019-04-15 | 2019-07-12 | 中科和光（天津）应用激光技术研究所有限公司 | A kind of temp measuring method based on infrared thermal imaging technique |
| CN110726475A (en) * | 2019-10-12 | 2020-01-24 | 浙江大华技术股份有限公司 | Infrared temperature measurement calibration method and device, infrared thermal imaging equipment and storage device |
| CN110726475B (en) * | 2019-10-12 | 2020-12-04 | 浙江大华技术股份有限公司 | Infrared temperature measurement calibration method and device, infrared thermal imaging equipment and storage device |
| CN111207833A (en) * | 2020-01-15 | 2020-05-29 | 中科和光（天津）应用激光技术研究所有限公司 | Temperature measurement method based on image data normalization technology |
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