CN108168707B - High-temperature interference source removing method based on thermal imaging - Google Patents

High-temperature interference source removing method based on thermal imaging Download PDF

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CN108168707B
CN108168707B CN201711369698.4A CN201711369698A CN108168707B CN 108168707 B CN108168707 B CN 108168707B CN 201711369698 A CN201711369698 A CN 201711369698A CN 108168707 B CN108168707 B CN 108168707B
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threshold value
detection threshold
temperature
thermal imaging
target
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CN108168707A (en
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马敬锐
于飞
张海军
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Shandong Sheenrun Optics Electronics Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J2005/0077Imaging

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  • General Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Radiation Pyrometers (AREA)
  • Fire-Detection Mechanisms (AREA)

Abstract

High-temperature interference based on thermal imagingA source removal method comprising the steps of: a) scanning a monitoring area by thermal imaging equipment to form a panoramic image of the monitoring area; b) calculating a detection threshold value Z1c) When the thermal imaging equipment works in real time, the image is larger than the detection threshold value Z1Is larger than a detection threshold value Z1Is determined as an effective high temperature alarm target. By first calculating a detection threshold value Z in the actual monitored area1And then comparing the detected value Z with the detection threshold value Z in the subsequent thermal imaging monitoring1The target is obtained and identified, and the alarm is carried out on the effective high-temperature target of the team. The rest high-temperature targets can be used as interference sources to be excluded and shielded, so that the covering of effective information caused by temperature sensitivity and the occurrence of false alarm or false alarm condition are effectively prevented.

Description

High-temperature interference source removing method based on thermal imaging
Technical Field
The invention relates to the technical field of thermal imaging, in particular to a high-temperature interference source removing method based on thermal imaging.
Background
Thermal imaging is used more and more widely in various fields, and has unique advantages in the industries such as fire prevention monitoring, power inspection, security monitoring and the like based on the characteristic of temperature imaging; however, if a high temperature interference source exists in the visible region, the effective information is masked due to the temperature sensitivity, and false alarm or false alarm is caused.
Most of the existing methods for removing or shielding the high-temperature interference source focus on manual regional shielding, fixed target shielding, shielding based on a temperature range, shielding based on a holder angle and the like, and intelligent, automatic and visual removal of the high-temperature interference source cannot be achieved.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a thermal imaging-based high-temperature interference source removing method capable of effectively removing the high-temperature interference source meeting the removing condition in the thermal imaging visual area, which comprises the following steps:
a high-temperature interference source removing method based on thermal imaging is characterized by comprising the following steps:
a) scanning a monitoring area by thermal imaging equipment to form a panoramic image of the monitoring area;
b) by the formula
Figure BDA0001512084530000011
Calculating a detection threshold value Z1Wherein A is a time factor and A takes on a value of
Figure BDA0001512084530000012
Where t is time, p is the number of pixel points occupied by the target in the image, C is the current ambient temperaturemaxThe highest temperature counted in 365 days in the monitored area is F, the current wind speed is FaAverage wind speed over 365 days in the monitored area, FmaxThe highest wind speed counted in 365 days in the monitored area;
c) when the thermal imaging equipment works in real time, the image is larger than the detection threshold value Z1Is larger than a detection threshold value Z1Is determined as an effective high temperature alarm target.
Further, the image in the step c) is larger than the detection threshold value Z1The target of (2) is highlighted after being acquired and identified.
Further, the image in the step c) is larger than the detection threshold value Z1After the target is obtained and identified, the target is detected with a detection threshold value Z1And putting the template into a template matching library for storage.
The invention has the beneficial effects that: by first calculating a detection threshold value Z in the actual monitored area1And then comparing the detected value Z with the detection threshold value Z in the subsequent thermal imaging monitoring1The target is obtained and identified, and the alarm is carried out on the effective high-temperature target of the team. The rest high-temperature targets can be used as interference sources to be excluded and shielded, so that the covering of effective information caused by temperature sensitivity and the occurrence of false alarm or false alarm condition are effectively prevented.
Detailed Description
The present invention will be further illustrated by the following specific examples.
A high-temperature interference source removing method based on thermal imaging comprises the following steps:
a) scanning a monitoring area by thermal imaging equipment to form a panoramic image of the monitoring area;
b) by the formula
Figure BDA0001512084530000021
Calculating a detection threshold value Z1Wherein A is a time factor and A takes on a value of
Figure BDA0001512084530000022
Where t is time, p is the number of pixel points occupied by the target in the image, C is the current ambient temperaturemaxThe highest temperature counted in 365 days in the monitored area is F, the current wind speed is FaAverage wind speed over 365 days in the monitored area, FmaxThe highest wind speed counted in 365 days in the monitored area;
c) when the thermal imaging equipment works in real time, the image is larger than the detection threshold value Z1Is larger than a detection threshold value Z1Is determined as an effective high temperature alarm target.
By first calculating a detection threshold value Z in the actual monitored area1And then comparing the detected value Z with the detection threshold value Z in the subsequent thermal imaging monitoring1The target is obtained and identified, and the alarm is carried out on the effective high-temperature target of the team. The rest high-temperature targets can be used as interference sources to be excluded and shielded, so that the covering of effective information caused by temperature sensitivity and the occurrence of false alarm or false alarm condition are effectively prevented.
Preferably, the image in step c) is larger than the detection threshold value Z1The target of (2) is highlighted after being acquired and identified. The high-temperature target area can be conveniently checked by workers through highlight display of the detected effective high-temperature target, and the use convenience is improved. Preferably, the image in step c) is larger than the detection threshold value Z1After the target is obtained and identified, the target is detected with a detection threshold value Z1And putting the template into a template matching library for storage. The subsequent generation of self-learning services for the target rules may be facilitated by storing in a template matching library.
The foregoing description is only for the basic principle and the preferred embodiments of the present invention, and modifications and substitutions by those skilled in the art are included in the scope of the present invention.

Claims (3)

1. A high-temperature interference source removing method based on thermal imaging is characterized by comprising the following steps:
a) scanning a monitoring area by thermal imaging equipment to form a panoramic image of the monitoring area;
b) by the formula
Figure FDA0001512084520000011
Calculating a detection threshold value Z1Wherein A is a time factor and A takes on a value of
Figure FDA0001512084520000012
Where t is time, p is the number of pixel points occupied by the target in the image, C is the current ambient temperaturemaxThe highest temperature counted in 365 days in the monitored area is F, the current wind speed is FaAverage wind speed over 365 days in the monitored area, FmaxThe highest wind speed counted in 365 days in the monitored area;
c) when the thermal imaging equipment works in real time, the image is larger than the detection threshold value Z1Is larger than a detection threshold value Z1Is determined as an effective high temperature alarm target.
2. The thermal imaging-based high-temperature interference source removing method according to claim 1, wherein: step c) for the image larger than the detection threshold value Z1The target of (2) is highlighted after being acquired and identified.
3. The thermal imaging-based high-temperature interference source removing method according to claim 1, wherein: step c) for the image larger than the detection threshold value Z1After the target is obtained and identified, the target is detected with a detection threshold value Z1And putting the template into a template matching library for storage.
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CN109974860A (en) * 2019-03-18 2019-07-05 重庆工程职业技术学院 Based on thermal imaging coal mine down-hole personnel monitoring system
CN110864809B (en) * 2019-06-28 2021-07-09 武钢集团昆明钢铁股份有限公司 Tank monitoring method
CN113611075B (en) * 2021-07-30 2023-01-24 东风商用车有限公司 Tractor fire monitoring method, device, equipment and readable storage medium

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CN105405244A (en) * 2015-12-22 2016-03-16 山东神戎电子股份有限公司 Interference source shielding method used for forest water prevention
CN105719421A (en) * 2016-04-27 2016-06-29 丛静华 Big data mining based integrated forest fire prevention informatization system
CN106228140A (en) * 2016-07-28 2016-12-14 国网湖南省电力公司 The transmission line forest fire smog of a kind of combination weather environment sentences knowledge method
WO2017002346A1 (en) * 2015-07-01 2017-01-05 パナソニックIpマネジメント株式会社 Air-conditioning control apparatus
CN106682580A (en) * 2016-11-21 2017-05-17 云南电网有限责任公司电力科学研究院 Forest fire predication method and system based on power transmission line forest fire image
CN106997461A (en) * 2017-03-28 2017-08-01 浙江大华技术股份有限公司 A kind of firework detecting method and device

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Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6036360A (en) * 1997-01-27 2000-03-14 Mitsubishi Denki Kabushiki Kaisha Temperature measuring apparatus for print card and air velocity measuring apparatus
WO2017002346A1 (en) * 2015-07-01 2017-01-05 パナソニックIpマネジメント株式会社 Air-conditioning control apparatus
CN105405244A (en) * 2015-12-22 2016-03-16 山东神戎电子股份有限公司 Interference source shielding method used for forest water prevention
CN105719421A (en) * 2016-04-27 2016-06-29 丛静华 Big data mining based integrated forest fire prevention informatization system
CN106228140A (en) * 2016-07-28 2016-12-14 国网湖南省电力公司 The transmission line forest fire smog of a kind of combination weather environment sentences knowledge method
CN106682580A (en) * 2016-11-21 2017-05-17 云南电网有限责任公司电力科学研究院 Forest fire predication method and system based on power transmission line forest fire image
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