CN104501968B - A kind of infrared continuous burning things which may cause a fire disaster monitoring method and system - Google Patents
A kind of infrared continuous burning things which may cause a fire disaster monitoring method and system Download PDFInfo
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Abstract
The present invention relates to a kind of infrared continuous burning things which may cause a fire disaster monitoring method and system, including：Gray level image is gathered, gray level image correction, acquisition average gray value and highest gray value is carried out, obtains correction temperature, monitoring maximum temperature, The present invention reduces temperature measuring equipment production procedure, production efficiency is improved, reduces product cost；Corrected by the gray level image during thermometric, be completely free of the dependence to mechanical checkout part, substantially prolongs the service life of equipment, really realized and do not interrupt correction, complete real-time, no frame damage.The stability of equipment is greatly improved, environment out of doors is particularly suitable for and works long hours, is the solid technical support that application of the infrared thermal imaging in the field provides.Because infrared measurement of temperature of the present invention employs the gray level image correction that prestores, trimming process is not interrupted, and realizes continuous temperature measurement, and is not in video frame losing in monitoring process, has been truly realized continuous temperature measurement monitoring, has been improved monitoring effect.
Description
Technical field
The present invention relates to a kind of burning things which may cause a fire disaster monitoring system, more particularly to a kind of infrared continuous burning things which may cause a fire disaster prison interrupted without correction of progress
Survey method and system.
Background technology
With the development of electronic technology, infrared imaging and infrared measurement of temperature are applied to people's production and life more and more widely
Multiple fields.Any temperature is higher than the object of absolute zero in nature, ceaselessly can all include to surrounding space radiation red
Electromagnetic wave including wave section, the temperature of body surface is higher, and infrared energy is more, therefore can utilize infra-red radiation
Measure the Warm status of body surface.The infrared measurement of temperature of prior art, it is complicated, it is necessary to special black matrix and other reference substances,
Cost is high.Program is in the forest of large area, and fire is often triggered by hidden fire, and this is the root of destructive forest fire, and with now
Some common detecting methods, it is difficult to find this recessive fire symptom of a trend.And can fast and effeciently it be sent out using infrared thermography
These existing hidden fire, and can accurately judge place and the scope of fire, but the temperature measuring equipment of traditional infrared thermal imaging, it is raw
Production and cost of equipment maintenance are very high, and at interval of mechanical checkout is just needed for a period of time once, each mechanical checkout process is all
Video frame losing phenomenon can occur, and mechanical school part is particularly easy to failure in the equipment course of work.Mechanical checkout part fails
Be the main reason for causing infrared thermal imaging equipment cisco unity malfunction cause at present using mechanical checkout method infrared heat into
As equipment failure rate remains high.Infrared thermal imaging equipment of such application be typically all arranged on building or mountain range forest zone
Peak, very labor intensive material resources, the after-sales service cost of great number limits infrared thermal imaging in the field during maintenance maintenance
Large-area applications.
The content of the invention
Present invention solves the technical problem that it is：A kind of infrared continuous burning things which may cause a fire disaster monitoring method of structure and system, reduce generation
Cost, production efficiency is improved, overcomes existing infrared measurement of temperature equipment and usually require to carry out mechanical checkout, cause image to interrupt,
Technical problem more than plant machinery failure, reduces maintenance cost.In addition, patent of the present invention also overcomes prior art correcting
Video frame losing in journey, influence the technical problem of monitoring effect.
The technical scheme is that：A kind of infrared continuous burning things which may cause a fire disaster monitoring method is provided, including sensed by infrared focus plane
The infrared focal plane sensor array of device composition, the infrared continuous burning things which may cause a fire disaster monitoring method comprise the following steps：
Prestore gray level image：Several temperature under the infrared focal plane sensor that prestores array different working temperature conditions are uniform
The gray level image of object.
Gather gray level image：The gray-scale map of search coverage is obtained by infrared focal plane sensor array and optical facilities
Picture；
It is corrected：By the difference of the gray level image currently gathered and the gray level image of several temperature non-uniform objects to prestore
Value, the most uniform gray level image of difference is made the difference with the gray level image gathered and is corrected；
Obtain average gray value and highest gray value：Obtain the average gray of image after designated area correction in search coverage
The highest gray value of image, the designated area include the region outside highest gray value region after value and search coverage correction；
Obtain correction temperature：Designated area in search coverage is obtained according to the corresponding relation of calibration temperature and image intensity value
Temperature corresponding to average gray value, by the difference of the average gray value corresponding temperature of designated area in environment temperature and search coverage
As correction temperature；
Monitor maximum temperature：Highest gray scale in search coverage is obtained according to the corresponding relation of calibration temperature and image intensity value
First temperature corresponding to value, first temperature is corrected using the correction temperature and obtains highest gray scale in search coverage
Temperature corresponding to value.
The present invention further technical scheme be：The corresponding relation of the calibration temperature and image intensity value is calibration temperature
With the homologous thread relation of image intensity value.
The present invention further technical scheme be：The corresponding relation of the calibration temperature and image intensity value includes infrared Jiao
The corresponding relation of calibration temperature and image intensity value at a temperature of flat surface sensor different operating, current infrared focus plane is taken to sense
The corresponding relation of calibration temperature and image intensity value under device operating temperature.
The present invention further technical scheme be：In step is corrected, it will be prestored corresponding to difference most homogeneous image
Gray level image makes the difference carry out single point correction with the gray level image that infrared focal plane sensor currently gathers.
The present invention further technical scheme be：In step is corrected, the gray scale of several temperature non-uniform objects
Image be with current environmental temperature similar in several gray level images that prestore.
The present invention further technical scheme be：In maximum temperature step is monitored, in addition to high temperature alarm threshold value is set,
High temperature alarm is carried out when temperature corresponding to highest gray value exceedes high temperature alarm threshold value in search coverage.
The present invention further technical scheme be：In maximum temperature step is monitored, in addition to the highest temperature of monitoring is set
The difference threshold of current environmental temperature is spent, if the difference of the maximum temperature current environmental temperature of monitoring is carried out when being more than difference threshold
Alarm.
The present invention further technical scheme be：A kind of infrared continuous burning things which may cause a fire disaster monitoring system of structure, including by infrared burnt flat
Face sensor group into infrared focal plane sensor array, gather gray level image acquisition module, gray level image is corrected
Correction module, average gray value acquisition module, highest gray value acquisition module, correction temperature acquisition module, monitoring modular, lead to
Cross infrared focal plane sensor array and optical facilities obtain the gray level image of search coverage；The correction module prestores infrared Jiao
The gray level image of several temperature non-uniform objects under flat surface sensor array different working temperature conditions, current collection is obtained respectively
Gray level image and several temperature non-uniform objects gray level image difference, the correction module is by the most uniform image pair of difference
The gray level image for the search coverage detectable signal that the gray level image for the background image answered gathers with infrared focal plane sensor makes the difference
It is corrected；The average gray value acquisition module obtains the average gray value after designated area correction in search coverage, described
Designated area includes the region outside highest gray value region；The highest gray value acquisition module is obtained in search coverage and corrected
Highest gray value afterwards；The average ash of designated area in search coverage is obtained according to the corresponding relation of calibration temperature and image intensity value
Temperature corresponding to angle value, the temperature acquisition module that corrects is by the average gray value of designated area in environment temperature and search coverage
The difference of corresponding temperature is as correction temperature；The monitoring modular obtains according to the corresponding relation of calibration temperature and image intensity value
First temperature corresponding to highest gray value in search coverage, first temperature is corrected acquisition using the correction temperature
Temperature corresponding to highest gray value in search coverage.
The present invention further technical scheme be：The corresponding relation of the calibration temperature and image intensity value includes infrared Jiao
The corresponding relation of calibration temperature and image intensity value at a temperature of flat surface sensor different operating, current infrared focus plane is taken to sense
The corresponding relation of calibration temperature and image intensity value under device operating temperature.
The present invention further technical scheme be：Also include high temperature alarm module, the high temperature alarm module sets high temperature
Alarm threshold value, high temperature alarm is carried out when temperature corresponding to highest gray value exceedes high temperature alarm threshold value in search coverage.
The solution have the advantages that：A kind of infrared continuous burning things which may cause a fire disaster monitoring method of structure and system, including by infrared burnt flat
Face sensor group into infrared focal plane sensor array, pass through infrared focal plane sensor array and optical facilities and obtain detection
The gray level image in region；By the difference of the gray level image currently gathered and the gray level image of several temperature non-uniform objects to prestore,
The most uniform gray level image of difference is made the difference with the gray level image gathered and is corrected；Obtain designated area correction in search coverage
The highest gray value of image, the designated area include highest gray value after the average gray value of image and search coverage correct afterwards
Region outside region；The average ash of designated area in search coverage is obtained according to the corresponding relation of calibration temperature and image intensity value
Temperature corresponding to angle value, using the difference of the average gray value corresponding temperature of designated area in environment temperature and search coverage as school
Positive temperature；The first temperature according to corresponding to the corresponding relation of calibration temperature and image intensity value obtains highest gray value in search coverage
Degree, first temperature is corrected using the correction temperature and obtains temperature corresponding to highest gray value in search coverage.
The infrared continuous burning things which may cause a fire disaster monitoring method and system of patent of the present invention, reduce temperature measuring equipment production procedure, improve production efficiency,
Reduce product cost；Corrected by the gray level image during thermometric, be completely free of the dependence to mechanical checkout part,
The service life of equipment is substantially prolongs, really realizes and does not interrupt correction, complete real-time, no frame damage.Greatly improve equipment
Stability, it is particularly suitable for environment out of doors and works long hours, is the solid skill that application of the infrared thermal imaging in the field provides
Art supports.Because infrared measurement of temperature of the present invention employs the gray level image correction that prestores, trimming process is not interrupted, and realizes continuous survey
Temperature, and be not in video frame losing in monitoring process, continuous temperature measurement monitoring has been truly realized, has improved monitoring effect.
Brief description of the drawings
Fig. 1 is the structural representation of the present invention.
Fig. 2 is the temperature and image intensity value curved line relation of the present invention.
Fig. 3 is the temperature and image intensity value curved line relation at a temperature of inventive sensor different operating.
Embodiment
With reference to specific embodiment, technical solution of the present invention is further illustrated.
The present invention embodiment be：A kind of infrared continuous burning things which may cause a fire disaster monitoring method is provided, including by infrared focus plane
Sensor group into infrared focal plane sensor array, optical facilities, the infrared continuous burning things which may cause a fire disaster monitoring method includes following step
Suddenly：
Prestore gray level image：Several temperature under the infrared focal plane sensor that prestores array different working temperature conditions are uniform
The gray level image of object.
Specific implementation process is：Several temperature under collection infrared focal plane sensor array different working temperature conditions in advance
The gray level image of non-uniform object is spent, is then prestored.Each sensor unit of infrared focal plane sensor array corresponding one
Individual pixel, the converted processing of all sensors unit detectable signal of infrared focal plane sensor array become a width gray-scale map
Picture.
Gather gray level image：The gray-scale map of search coverage is obtained by infrared focal plane sensor array and optical facilities
Picture.
Specific implementation process is：In infrared focal plane sensor search coverage, in infrared focal plane sensor array
The object of the sensor senses search coverage, rear end equipment obtain the output voltage of sensor, are data signal through analog-to-digital conversion
Gray level image.That is, the detectable signal in search coverage is gathered, obtains the gray level image of the detectable signal.
It is corrected：By the difference of the gray level image currently gathered and the gray level image of several temperature non-uniform objects to prestore
Value, the most uniform gray level image of difference is made the difference with the gray level image gathered and is corrected.
Specific implementation process is as follows：Prestore more under the infrared focal plane sensor array different working temperature conditions
The gray level image of width temperature non-uniform object, the gray level image of several temperature non-uniform objects is then chosen, for the detecting area of collection
Detectable signal in domain, the gray level image of the detectable signal gray-scale map with several temperature non-uniform objects of selection respectively will be obtained
As making the difference, multiple corresponding gray level image differences are obtained, choose the gray-scale map of background image corresponding to the most uniform image of difference
As be gray level image corrected value, by the gray level image of the gray level image corrected value and the search coverage detectable signal of collection make the difference into
Row correction, obtain the gray level image after the correction of search coverage detectable signal.In specific embodiment, to search coverage detectable signal
Gray level image is corrected the mode including carrying out single-point and two point correction, also including other correcting modes.
Obtain average gray value and highest gray value：Obtain the average gray of image after designated area correction in search coverage
The highest gray value of image, the designated area include the region outside highest gray value region after value and search coverage correction.
Specific implementation process is as follows：The part or all of region of search coverage is specified, obtains the designated area detectable signal
Correction after gray level image, it is then average, take the designated area correct after gray level image average value, the designated area must be taken
The average gray value of detectable signal, the designated area include the region outside highest gray value region.Search coverage is taken to detect
Highest gray value after the correction of signal.
Obtain correction temperature：Designated area in search coverage is obtained according to the corresponding relation of calibration temperature and image intensity value
Temperature corresponding to average gray value, by the difference of the average gray value corresponding temperature of designated area in environment temperature and search coverage
As correction temperature.
Specific implementation process is as follows：Calibration temperature and image intensity value have corresponding relation, according to calibration temperature and image
The corresponding relation of gray value obtains temperature corresponding to designated area average gray value in search coverage, described in specific embodiment
The corresponding relation of calibration temperature and image intensity value is a kind of curved line relation, and as calibration temperature and image intensity value is corresponding bent
Line relation.
The homologous thread relation of calibration temperature and image intensity value is built in advance by system, it is not necessary to structure during each thermometric
Build, its specific building process is as follows：
The relation of temperature and grey scale curve is obtained, initially sets up temperature t and image intensity value g mathematical modeling, and is adopted
Collect the image intensity value g under different temperatures t, then computation model coefficient, has finally given model formation.Now illustrate and how to obtain
Model formation：
Establish a mathematical modeling for establishing temperature t and image intensity value g：G=a*t3+b*t2+c*t+d；Wherein t is temperature
Degree, g is gray scale, and a, b, c, d are constant.
Gathered data：Respectively collecting temperature t1, t2, t3, gray value g=g1, g2, g3, g4 during t4.
Above-mentioned t and g are substituted into model g=a*t respectively3+b*t2In+c*t+d, equation below group is obtained：
A, b, c, d value can be obtained by solving above-mentioned equation group.
Temperature t and image intensity value g relation are homologous thread relation, and curved line relation can carry out table by polynomial equation
Show, therefore, temperature t and image intensity value g mathematical modeling can have a variety of mathematical modeling modes, such as g=a*t4+b*t3+c*
t2+d*t+e；G=a*t2+b*t+c；Etc. various polynomial forms and deformation.
The average gray value corresponding temperature of designated area in environment temperature and search coverage is done into a difference, by the difference
As correction temperature.
Monitor maximum temperature：Highest gray scale in search coverage is obtained according to the corresponding relation of calibration temperature and image intensity value
First temperature corresponding to value, first temperature is corrected using the correction temperature and obtains highest gray scale in search coverage
Temperature corresponding to value.
Specific implementation process is as follows：Highest in search coverage is obtained according to the corresponding relation of calibration temperature and image intensity value
First temperature corresponding to gray value, go to correct first temperature with the correction temperature, i.e.,：By it is described correction temperature with it is described
First temperature and for correction after search coverage in temperature corresponding to highest gray value.Thus, sensor detection areas is measured
Interior maximum temperature.
As shown in Figure 2 and Figure 3, Fig. 2 is gray value and temperature curve when sensor array is listed in 60 degrees Celsius.Fig. 3 is sensor
Array gray value and temperature curve at 20 degrees Celsius and at -20 degrees Celsius.The preferred embodiment of the present invention is：Due to calibration
The corresponding relation of temperature and image intensity value is influenceed by infrared focal plane sensor operating temperature, different infrared focal plane sensors
The corresponding relation of operating temperature, calibration temperature and image intensity value has different, therefore, prestores infrared focus plane biography
The corresponding relation of calibration temperature and image intensity value at a temperature of sensor different operating, during work, current infrared focus plane is taken to pass
The corresponding relation of calibration temperature and image intensity value at a temperature of sense device working.Pass through the work of current infrared focal plane sensor
Temperature, the homologous thread relation of the calibration temperature and image intensity value under the operating temperature is selected, is determined corresponding to gray level image
Temperature is more accurate.Because the corresponding relation of calibration temperature and image intensity value is influenceed by external environment condition operating temperature, should also
The calibration temperature and the homologous thread relation of image intensity value established under multiple ambient temperatures, then, according to current external
Environment temperature determines to determine gray-scale map with the homologous thread relation of the calibration temperature under the ambient temperature and image intensity value
The temperature as corresponding to.
The preferred embodiment of the present invention is：Because calibration temperature and image intensity value have corresponding relation, it is determined that its
During corresponding relation, calibration temperature is smaller, and its curve is more accurate, and the calibration temperature of reaction and the corresponding relation of image intensity value are got over
Accurately, therefore, corresponding value is carried out as needed.The curve that corresponding relation is generally carried out with 1 degree to 5 degree scope determines.
The preferred embodiment of the present invention is：In step is corrected, the gray scale of several temperature non-uniform objects is being chosen
During image, due to affected by environment, be preferably selected with current environmental temperature similar in several gray level images that prestore be corrected.
The preferred embodiment of the present invention is：In maximum temperature step is monitored, in addition to high temperature alarm threshold value is set,
High temperature alarm is carried out when temperature corresponding to highest gray value exceedes high temperature alarm threshold value in search coverage.Type of alarm includes voice
The various ways such as alarm, flicker alarm or Notes of Key Data alarm.
The preferred embodiment of the present invention is：In maximum temperature step is monitored, in addition to the maximum temperature of monitoring is set
The difference threshold of current environmental temperature, if the difference of the maximum temperature current environmental temperature of monitoring is reported when being more than difference threshold
It is alert.Optimal embodiment is that current environmental temperature takes the temperature around the maximum temperature of monitoring, if highest temperature region is higher than week
Current environmental temperature is enclosed, then temperature anomaly, implement alarm.
As shown in figure 1, the specific implementation process of the present invention is：A kind of infrared continuous burning things which may cause a fire disaster monitoring system of structure, including by
The infrared focal plane sensor array of infrared focal plane sensor composition, gather the acquisition module 1 of gray level image, to gray level image
The correction module 2 that is corrected, average gray value acquisition module 3, highest gray value acquisition module 4, correction temperature acquisition module
5th, monitoring modular 6.The acquisition module 1 obtains the gray scale of search coverage by infrared focal plane sensor array and optical facilities
Image；The correction module 2 prestores the uniform thing of several temperature under infrared focal plane sensor array different working temperature conditions
The gray level image of body, the difference of the gray level image of gray level image and several temperature non-uniform objects currently gathered, institute are obtained respectively
State what correction module 2 gathered the gray level image of background image corresponding to the most uniform image of difference and infrared focal plane sensor
The gray level image of search coverage detectable signal, which makes the difference, to be corrected；The average gray value acquisition module 3 is obtained in search coverage
Average gray value after designated area correction, the designated area include the region outside highest gray value region；The highest
Gray value acquisition module 4 obtains the highest gray value after being corrected in search coverage；According to calibration temperature and pair of image intensity value
Temperature corresponding to designated area average gray value in Relation acquisition search coverage is answered, the temperature acquisition module 5 that corrects is by environment
The difference of temperature and the average gray value corresponding temperature of designated area in search coverage is used as correction temperature；The monitoring modular 6
The first temperature according to corresponding to the corresponding relation of calibration temperature and image intensity value obtains highest gray value in search coverage, by institute
State the first temperature and temperature corresponding to highest gray value in acquisition search coverage is corrected using the correction temperature.
The homologous thread relation of calibration temperature and image intensity value is built in advance by system, it is not necessary to structure during each thermometric
Build, its specific building process is as follows：
The relation of temperature and grey scale curve is obtained, initially sets up temperature t and image intensity value g mathematical modeling, and is adopted
Collect the image intensity value g under different temperatures t, then computation model coefficient, has finally given model formation.Now illustrate and how to obtain
Model formation：
Establish a mathematical modeling for establishing temperature t and image intensity value g：G=a*t3+b*t2+c*t+d；Wherein t is temperature
Degree, g is gray scale, and a, b, c, d are constant.
Gathered data：Respectively collecting temperature t1, t2, t3, gray value g=g1, g2, g3, g4 during t4.
Above-mentioned t and g are substituted into model g=a*t respectively3+b*t2In+c*t+d, equation below group is obtained：
A, b, c, d value can be obtained by solving above-mentioned equation group.
Temperature t and image intensity value g relation are homologous thread relation, and curved line relation can carry out table by polynomial equation
Show, therefore, temperature t and image intensity value g mathematical modeling can have a variety of mathematical modeling modes, such as g=a*t4+b*t3+c*
t2+d*t+e；G=a*t2+b*t+c；Etc. various polynomial forms and deformation.
Specific implementation process is as follows：In infrared focal plane sensor search coverage, in infrared focal plane sensor array
The sensor senses search coverages object, rear end equipment obtains the output voltage of sensor, believes through analog-to-digital conversion for numeral
Number gray level image.That is, described acquisition module 1 gathers the detectable signal in search coverage, obtains the gray-scale map of the detectable signal
Picture.Several temperature that the correction module 2 is prestored under the infrared focal plane sensor array different working temperature conditions are equal
The gray level image of even object, the gray level image of several temperature non-uniform objects is then chosen, for the spy in the search coverage of collection
Signal is surveyed, gray level image of the gray level image for obtaining the detectable signal respectively with several temperature non-uniform objects of selection is made the difference,
Multiple corresponding gray level image differences are obtained, the gray level image for choosing background image corresponding to the most uniform image of difference is gray scale
Image correction values, the correction module 2 by the gray level image corrected value with collection search coverage detectable signal gray level image
Make the difference and be corrected, obtain the gray level image after the correction of search coverage detectable signal.In specific embodiment, search coverage is detected
The gray level image of signal is corrected the mode including carrying out single-point and two point correction, also including other correcting modes.Specify and visit
The part or all of region in region is surveyed, obtains the gray level image after the correction of the designated area detectable signal, it is then average, it is average
Gray value acquisition module 3 obtains the average value of gray level image after designated area correction, that is, obtains the designated area detectable signal
Average gray value, the designated area include highest gray value region outside region.The highest gray value acquisition module 4
Highest gray value after the correction of acquisition search coverage detectable signal.Calibration temperature and image intensity value have corresponding relation, according to
The corresponding relation of calibration temperature and image intensity value obtains temperature corresponding to designated area average gray value in search coverage, specifically
In embodiment, the corresponding relation of the calibration temperature and image intensity value is a kind of curved line relation, as calibration temperature and image
The homologous thread relation of gray value.The correction temperature acquisition module 5 by environment temperature and search coverage designated area it is flat
Equal gray value corresponding temperature does a difference, using the difference as correction temperature.According to calibration temperature and pair of image intensity value
The first temperature corresponding to highest gray value in search coverage should be related to obtain, the monitoring modular 6 goes to school with the correction temperature
Just described first temperature, i.e.,：By correction temperature and first temperature and be highest ash in the search coverage after correction
Temperature corresponding to angle value.Thus, the monitoring modular 6 measures the maximum temperature in sensor detection areas.
Also include high temperature alarm module 7, the high temperature alarm module 7 sets high temperature alarm threshold value, in search coverage most
Temperature corresponding to high gray value carries out high temperature alarm when exceeding high temperature alarm threshold value.
The solution have the advantages that：A kind of infrared continuous burning things which may cause a fire disaster monitoring method of structure and system, including by infrared burnt flat
Face sensor group into infrared focal plane sensor array, pass through infrared focal plane sensor array and optical facilities and obtain detection
The gray level image in region；By the difference of the gray level image currently gathered and the gray level image of several temperature non-uniform objects to prestore,
The most uniform gray level image of difference is made the difference with the gray level image gathered and is corrected；Obtain designated area correction in search coverage
The highest gray value of image, the designated area include highest gray value after the average gray value of image and search coverage correct afterwards
Region outside region；The average ash of designated area in search coverage is obtained according to the corresponding relation of calibration temperature and image intensity value
Temperature corresponding to angle value, using the difference of the average gray value corresponding temperature of designated area in environment temperature and search coverage as school
Positive temperature；The first temperature according to corresponding to the corresponding relation of calibration temperature and image intensity value obtains highest gray value in search coverage
Degree, first temperature is corrected using the correction temperature and obtains temperature corresponding to highest gray value in search coverage.
The infrared continuous burning things which may cause a fire disaster monitoring method and system of patent of the present invention, reduce temperature measuring equipment production procedure, improve production efficiency,
Reduce product cost；Corrected by the gray level image during thermometric, be completely free of the dependence to mechanical checkout part,
The service life of equipment is substantially prolongs, really realizes and is interrupted without correction, entirely in real time, no frame damage.Greatly improve equipment
Stability, it is particularly suitable for environment out of doors and works long hours, is the solid skill that application of the infrared thermal imaging in the field provides
Art supports.Because infrared measurement of temperature of the present invention employs the gray level image correction that prestores, trimming process is not interrupted, realize continuous survey
Temperature, and be not in video frame losing in monitoring process, continuous temperature measurement monitoring has been truly realized, has improved monitoring effect.
Above content is to combine specific preferred embodiment further description made for the present invention, it is impossible to is assert
The specific implementation of the present invention is confined to these explanations.For general technical staff of the technical field of the invention,
On the premise of not departing from present inventive concept, some simple deduction or replace can also be made, should all be considered as belonging to the present invention's
Protection domain.
Claims (10)
1. a kind of infrared continuous burning things which may cause a fire disaster monitoring method, it is characterised in that including infrared Jiao being made up of infrared focal plane sensor
Flat surface sensor array, optical facilities, the infrared continuous burning things which may cause a fire disaster monitoring method comprise the following steps：
Prestore gray level image：Several temperature non-uniform objects under the infrared focal plane sensor that prestores array different working temperature conditions
Gray level image；
Gather gray level image：The gray level image of search coverage is obtained by infrared focal plane sensor array and optical facilities；
It is corrected：, will by the difference of the gray level image currently gathered and the gray level image of several temperature non-uniform objects to prestore
The most uniform gray level image of difference makes the difference with the gray level image gathered and is corrected；
Obtain average gray value and highest gray value：Obtain search coverage in designated area correction after image average gray value and
The highest gray value of image, the designated area include the region outside highest gray value region after search coverage correction；
Obtain correction temperature：Designated area in search coverage is obtained according to the corresponding relation of calibration temperature and image intensity value to be averaged
Temperature corresponding to gray value, using the difference of the average gray value corresponding temperature of designated area in environment temperature and search coverage as
Correct temperature；
Monitor maximum temperature：Highest gray value pair in search coverage is obtained according to the corresponding relation of calibration temperature and image intensity value
The first temperature answered, first temperature is corrected using the correction temperature and obtains highest gray value pair in search coverage
The temperature answered.
2. infrared continuous burning things which may cause a fire disaster monitoring method according to claim 1, it is characterised in that the calibration temperature and gradation of image
The corresponding relation of 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 characterised in that the calibration temperature and gradation of image
Corresponding pass of the corresponding relation of value including the calibration temperature at a temperature of infrared focal plane sensor different operating and image intensity value
System, take the corresponding relation of the calibration temperature and image intensity value under current infrared focal plane sensor operating temperature.
4. infrared continuous burning things which may cause a fire disaster monitoring method according to claim 1, it is characterised in that in step is corrected, by difference
The gray level image that prestored corresponding to value most homogeneous image makes the difference progress list with the gray level image that infrared focal plane sensor currently gathers
Point calibration.
5. infrared continuous burning things which may cause a fire disaster monitoring method according to claim 1, it is characterised in that described in step is corrected
The gray level image of several temperature non-uniform objects be with current environmental temperature similar in several gray level images that prestore.
6. infrared continuous burning things which may cause a fire disaster monitoring method according to claim 1, it is characterised in that in maximum temperature step is monitored,
Also include setting high temperature alarm threshold value, carried out when temperature corresponding to highest gray value exceedes high temperature alarm threshold value in search coverage
High temperature alarm.
7. infrared continuous burning things which may cause a fire disaster monitoring method according to claim 1, it is characterised in that in maximum temperature step is monitored,
Also include the difference threshold that the maximum temperature current environmental temperature of monitoring is set, if the maximum temperature current environmental temperature of monitoring
Difference is alarmed when being more than difference threshold.
8. a kind of infrared continuous burning things which may cause a fire disaster monitoring system, it is characterised in that including infrared Jiao being made up of infrared focal plane sensor
Flat surface sensor array, optical facilities, gather gray level image acquisition module, gray level image is corrected correction module,
Average gray value acquisition module, highest gray value acquisition module, correction temperature acquisition module, monitoring modular, by infrared burnt flat
Face sensor array and optical facilities obtain the gray level image of search coverage；The correction module prestores infrared focal plane sensor
The gray level image of several temperature non-uniform objects under array different working temperature conditions, obtains the gray level image currently gathered respectively
With the difference of the gray level image of several temperature non-uniform objects, the correction module is by Background corresponding to the most uniform image of difference
The gray level image for the search coverage detectable signal that the gray level image of picture gathers with infrared focal plane sensor, which makes the difference, to be corrected；Institute
Stating the average gray value after designated area correction, the designated area in average gray value acquisition module acquisition search coverage includes
Region outside highest gray value region；The highest gray value acquisition module obtains the highest gray scale after being corrected in search coverage
Value；The temperature according to corresponding to the corresponding relation of calibration temperature and image intensity value obtains designated area average gray value in search coverage
Degree, the temperature acquisition module that corrects is by the difference of the average gray value corresponding temperature of designated area in environment temperature and search coverage
Value is as correction temperature；The monitoring modular is obtained in search coverage most according to the corresponding relation of calibration temperature and image intensity value
First temperature corresponding to high gray value, first temperature is corrected using the correction temperature and obtained in search coverage most
Temperature corresponding to high gray value.
9. infrared continuous burning things which may cause a fire disaster monitoring system according to claim 8, it is characterised in that the calibration temperature and gradation of image
Corresponding pass of the corresponding relation of value including the calibration temperature at a temperature of infrared focal plane sensor different operating and image intensity value
System, take the corresponding relation of the calibration temperature and image intensity value under current infrared focal plane sensor operating temperature.
10. infrared continuous burning things which may cause a fire disaster monitoring system according to claim 8, it is characterised in that also including high temperature alarm module, institute
State high temperature alarm module and high temperature alarm threshold value is set, temperature corresponding to highest gray value exceedes high temperature alarm threshold in search coverage
High temperature alarm is carried out during value.
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