CN104501968B - A kind of infrared continuous burning things which may cause a fire disaster monitoring method and system - Google Patents
- ️Tue Dec 12 2017
Info
-
Publication number
- CN104501968B CN104501968B CN201410835563.2A CN201410835563A CN104501968B CN 104501968 B CN104501968 B CN 104501968B CN 201410835563 A CN201410835563 A CN 201410835563A CN 104501968 B CN104501968 B CN 104501968B Authority
- CN
- China Prior art keywords
- temperature
- value
- gray level
- level image
- image Prior art date
- 2014-12-28 Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 52
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000012937 correction Methods 0.000 claims abstract description 66
- 230000007613 environmental effect Effects 0.000 claims description 11
- 230000003287 optical effect Effects 0.000 claims description 11
- 238000001931 thermography Methods 0.000 abstract description 8
- 238000005259 measurement Methods 0.000 abstract description 6
- 238000003702 image correction Methods 0.000 abstract description 5
- 238000009529 body temperature measurement Methods 0.000 abstract description 4
- 230000000694 effects Effects 0.000 abstract description 4
- 239000007787 solid Substances 0.000 abstract description 3
- 238000009966 trimming Methods 0.000 abstract description 3
- 230000015572 biosynthetic process Effects 0.000 description 4
- 238000001514 detection method Methods 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 4
- 238000006243 chemical reaction Methods 0.000 description 3
- 230000005855 radiation Effects 0.000 description 2
- 230000001066 destructive effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000003331 infrared imaging Methods 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000013558 reference substance Substances 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Landscapes
- Closed-Circuit Television Systems (AREA)
- Radiation Pyrometers (AREA)
- Fire-Detection Mechanisms (AREA)
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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410835563.2A CN104501968B (en) | 2014-12-28 | 2014-12-28 | A kind of infrared continuous burning things which may cause a fire disaster monitoring method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410835563.2A CN104501968B (en) | 2014-12-28 | 2014-12-28 | A kind of infrared continuous burning things which may cause a fire disaster monitoring method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104501968A CN104501968A (en) | 2015-04-08 |
| CN104501968B true CN104501968B (en) | 2017-12-12 |
Family
ID=52943390
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410835563.2A Active CN104501968B (en) | 2014-12-28 | 2014-12-28 | A kind of infrared continuous burning things which may cause a fire disaster monitoring method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104501968B (en) |
Families Citing this family (6)
* Cited by examiner, † Cited by third party| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| 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 |
| 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 |
| CN111207833B (en) * | 2020-01-15 | 2021-06-25 | 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 |
Citations (2)
* Cited by examiner, † Cited by third party| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1821732A (en) * | 2006-04-06 | 2006-08-23 | 中国人民解放军空军航空医学研究所 | Method and device for real-time correcting infrared measuring temperature |
| CN101975622A (en) * | 2010-09-08 | 2011-02-16 | 中国科学院力学研究所 | Method for measuring temperature of part in laser manufacturing process |
Family Cites Families (1)
* Cited by examiner, † Cited by third party| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI355485B (en) * | 2007-12-04 | 2012-01-01 | Univ Nat Taiwan Science Tech | Time domain digital temperature sensing system and |
-
2014
- 2014-12-28 CN CN201410835563.2A patent/CN104501968B/en active Active
Patent Citations (2)
* Cited by examiner, † Cited by third party| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1821732A (en) * | 2006-04-06 | 2006-08-23 | 中国人民解放军空军航空医学研究所 | Method and device for real-time correcting infrared measuring temperature |
| CN101975622A (en) * | 2010-09-08 | 2011-02-16 | 中国科学院力学研究所 | Method for measuring temperature of part in laser manufacturing process |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104501968A (en) | 2015-04-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104501968B (en) | 2017-12-12 | A kind of infrared continuous burning things which may cause a fire disaster monitoring method and system |
| Márquez et al. | 2019 | Condition monitoring system for solar power plants with radiometric and thermographic sensors embedded in unmanned aerial vehicles |
| JP6429526B2 (en) | 2018-11-28 | Electric equipment temperature monitoring device and electric equipment temperature monitoring system |
| CN104501969A (en) | 2015-04-08 | High-precision infrared thermal-imaging temperature measurement method and high-precision infrared thermal-imaging temperature measurement system |
| CN102661799B (en) | 2014-11-19 | Fault positioning method and system |
| Sarawade et al. | 2018 | Infrared thermography and its applications: A review |
| JP5979567B1 (en) | 2016-08-24 | Plant stress detection apparatus and plant stress detection method |
| CN102818636A (en) | 2012-12-12 | Radiometric calibration method for low-temperature measurement of thermal infrared imager |
| CN104729718B (en) | 2017-10-24 | A kind of processing system and method for infrared imaging system NETD |
| CN103162843B (en) | 2017-04-12 | Zero shutter thermal infrared imager based on voice operated exchange (VOX) detector and use method thereof |
| KR101480478B1 (en) | 2015-01-08 | Inspection system of deterioioration phenomena of solar photovolataic power facilities and inspection method using the same |
| CN110487416B (en) | 2020-11-06 | Rapid testing method for NETD and MRTD of thermal infrared imager |
| Acciani et al. | 2010 | Thermographic analysis of photovoltaic panels |
| CN106441808A (en) | 2017-02-22 | Thermal infrared hyperspectral imager blind pixel detection device and method |
| CN107341780A (en) | 2017-11-10 | A kind of Infrared images pre-processing bearing calibration |
| CN115512307B (en) | 2023-03-17 | Wide-area space infrared multi-point real-time fire detection method and system, positioning method |
| Le Saux et al. | 2017 | Proposition of a compensated pixelwise calibration for photonic infrared cameras and comparison to classic calibration procedures: Case of thermoelastic stress analysis |
| CN113945282A (en) | 2022-01-18 | Infrared remote sensing satellite temperature retrieval accuracy index allocation system and method |
| CN108416969A (en) | 2018-08-17 | A kind of no dead angle underground space fire detection method |
| CN110006529B (en) | 2020-12-01 | Output correction method and device for infrared detection device |
| Elizalde | 2023 | Thermography applied to damage diagnosis over monuments and ancient constructions |
| CN102151125A (en) | 2011-08-17 | Pig group body temperature distribution monitoring system and method |
| KR20200037699A (en) | 2020-04-09 | Thermal-infrared temperature measurement apparatus for monitoring photovoltaic solar panel and measurement method thereof |
| CN211783867U (en) | 2020-10-27 | Cable on-line temperature measurement system based on power tunnel inspection robot |
| Morello et al. | 2016 | Thermography for non-Invasive Diagnosis of Conservation State of Archaeological Discoveries |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 2015-04-08 | C06 | Publication | |
| 2015-04-08 | PB01 | Publication | |
| 2015-05-06 | C10 | Entry into substantive examination | |
| 2015-05-06 | SE01 | Entry into force of request for substantive examination | |
| 2016-04-13 | CB02 | Change of applicant information |
Address after: 1 No. 310023, No. 181, Wuchang Road, Wuchang Street, Yuhang District, Zhejiang, Hangzhou, 3 Applicant after: Sun Creative Zhejiang Technology Co., Ltd. Address before: 1 No. 310023, No. 181, Wuchang Road, Wuchang Street, Yuhang District, Zhejiang, Hangzhou, 3 Applicant before: Zhejiang Zhaosheng Technology Co., Ltd. |
| 2016-04-13 | COR | Change of bibliographic data | |
| 2017-12-12 | GR01 | Patent grant | |
| 2017-12-12 | GR01 | Patent grant |