CN116878669A - Temperature compensation method based on short wave infrared temperature measurement, fire monitoring method and system - Google Patents

Temperature compensation method based on short wave infrared temperature measurement, fire monitoring method and system Download PDF

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CN116878669A
CN116878669A CN202310837200.1A CN202310837200A CN116878669A CN 116878669 A CN116878669 A CN 116878669A CN 202310837200 A CN202310837200 A CN 202310837200A CN 116878669 A CN116878669 A CN 116878669A
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temperature
infrared
thermal
imager
temperature value
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陈海峰
朱学伟
李稀稀
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Wuhan Joho Technology Co ltd
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Wuhan Joho Technology 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
    • G01J5/52Radiation pyrometry, e.g. infrared or optical thermometry using comparison with reference sources, e.g. disappearing-filament pyrometer
    • G01J5/53Reference sources, e.g. standard lamps; Black bodies
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64UUNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U20/00Constructional aspects of UAVs
    • B64U20/80Arrangement of on-board electronics, e.g. avionics systems or wiring
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64UUNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U20/00Constructional aspects of UAVs
    • B64U20/80Arrangement of on-board electronics, e.g. avionics systems or wiring
    • B64U20/87Mounting of imaging devices, e.g. mounting of gimbals
    • 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
    • G01J5/0014Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiation from gases, flames
    • G01J5/0018Flames, plasma or welding
    • 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
    • G01J5/48Thermography; Techniques using wholly visual means
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/02Systems using the reflection of electromagnetic waves other than radio waves
    • G01S17/06Systems determining position data of a target
    • G01S17/08Systems determining position data of a target for measuring distance only
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/86Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88Lidar systems specially adapted for specific applications
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/12Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
    • G08B17/125Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/14Relay systems
    • H04B7/15Active relay systems
    • H04B7/185Space-based or airborne stations; Stations for satellite systems
    • H04B7/18502Airborne stations
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64UUNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U2101/00UAVs specially adapted for particular uses or applications
    • B64U2101/25UAVs specially adapted for particular uses or applications for manufacturing or servicing
    • B64U2101/26UAVs specially adapted for particular uses or applications for manufacturing or servicing for manufacturing, inspections or repairs
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64UUNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U2101/00UAVs specially adapted for particular uses or applications
    • B64U2101/30UAVs specially adapted for particular uses or applications for imaging, photography or videography
    • B64U2101/31UAVs specially adapted for particular uses or applications for imaging, photography or videography for surveillance
    • 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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Abstract

The invention provides a temperature compensation method based on short-wave infrared temperature measurement, which comprises the following steps: s1, calibrating the thermal infrared imager by adopting a fitting curve method to obtain a calibration curve of a temperature value and a gray value; s2, acquiring an infrared thermal image of the monitoring area, and obtaining a temperature value corresponding to a target pixel point on the infrared thermal image according to the calibration curve; s3, a temperature compensation model is established, the temperature value is compensated, and a compensated target temperature value is obtained; and S4, judging whether a fire occurs in the monitoring area according to the compensated target temperature value. According to the invention, the thermal infrared imager is calibrated by using the reference blackbody, the temperature value of the target is calculated rapidly by using the calibration curve, and the temperature compensation model is built by using the blackbody furnace to compensate the calculated temperature value, so that the influence of sunlight radiation on the short wave infrared temperature measurement result is greatly reduced, the accuracy of short wave infrared temperature measurement during outdoor fire monitoring is improved, and the probability of generating fire false alarm is reduced.

Description

Temperature compensation method based on short wave infrared temperature measurement, fire monitoring method and system
Technical Field
The invention relates to the technical field of fire monitoring, in particular to a temperature compensation method based on short-wave infrared temperature measurement, a fire monitoring method and a system.
Background
Because the thermal imaging temperature measurement technology has the advantages of high temperature measurement speed, large temperature measurement area, high temperature measurement resolution, non-contact, no interference to the measured surface temperature field and the like, the thermal imaging temperature measurement technology has been widely applied to the fields of high-voltage wire inspection, state monitoring of electrical equipment and machine equipment such as power stations, distribution equipment and substations, quality screening and fault diagnosis of semiconductor elements and integrated circuits, fault diagnosis of petrochemical equipment, fire detection, nondestructive detection of internal defects of materials, heat transfer research and the like, and considerable economic benefits are obtained. Particularly after the 80 s, with the rapid development of computer technology and the advent of thermal image real-time digital processing technology, the operation and use of the thermal imager are more convenient, the dynamic range of temperature measurement is larger, the temperature measurement precision of the thermal imager is continuously improved, the equipment is smaller, and the popularity of the thermal imager in various industries of China is rapidly improved.
When the short-wave infrared temperature measurement technology is applied to an outdoor environment, the accuracy of temperature measurement is affected by solar radiation besides the influence of a measured target and the environment, when the measured target is under the radiation of sunlight, as the reflection light wave band of the sunlight is close to the set wavelength region of the short-wave infrared temperature measurement instrument, the accuracy of the short-wave infrared temperature measurement by the sunlight radiation can be greatly affected, the measured temperature can be higher than the actual temperature of the surface of the measured target, and the conventional short-wave infrared temperature measurement technology is easy to report the fire by mistake when being applied to outdoor fire monitoring.
Disclosure of Invention
The invention provides a temperature compensation method based on short-wave infrared temperature measurement, a fire monitoring method and a system, which solve the problems that the accuracy of a monitoring result is influenced by sunlight radiation and fire false alarm is easy to generate when the short-wave infrared temperature measurement technology is applied to outdoor fire monitoring in the prior art.
The technical scheme of the invention is realized as follows:
according to one aspect of the invention, there is provided a temperature compensation method based on short wave infrared temperature measurement, comprising the steps of:
s1, calibrating the thermal infrared imager by adopting a fitting curve method to obtain a calibration curve of a temperature value and a gray value;
s2, acquiring an infrared thermal image of the monitoring area, and obtaining a temperature value corresponding to a target pixel point on the infrared thermal image according to the calibration curve;
and S3, establishing a temperature compensation model, and compensating the temperature value to obtain a compensated target temperature value.
In step S1, the environmental temperature and the distance between the reference black body and the thermal infrared imager are kept constant, the thermal infrared imager is used for measuring the reference black body with different temperatures, the thermal infrared image outputted by the thermal infrared imager is processed to obtain a plurality of groups of gray data, and the gray data is fitted by a least square method to obtain a calibration curve of the temperature value of the reference black body and the gray value of the thermal infrared image.
As a preferable scheme of the invention, the fitting formula of the calibration curve is as follows:
wherein H (Tgamma) is the temperature value of the target object; t gamma is the target object surface radiation temperature; alpha is the surface absorptivity of the target object; b is the distance between the target object and the thermal infrared imager; d is a calibration constant associated with the calibration curve; c is a constant representing the radiation generated by the environment.
As an alternative scheme of the invention, the fitting formula of the calibration curve is as follows:
H(Tγ)=a*Tγ+b
wherein H (Tgamma) is the temperature value of the target object; t gamma is the target object surface radiation temperature; a. b is a calibration constant associated with the calibration curve; the fitting formula directly fits gray data into a linear curve, the data operation is simple, but the measurement accuracy is low, and the fitting formula is suitable for occasions with low requirements on infrared temperature measurement accuracy.
As a preferred embodiment of the present invention, the temperature compensation model is:
Hsur=A 0 +A 1 T d +A 2 T e
wherein Hsur represents a temperature compensation value; a is that 0 The visual black body area corresponding to the minimum space opening angle of the thermal infrared imager; a is that 1 、T d Respectively representing the visible blackbody area corresponding to the opening angle of the thermal infrared imager and the measured surface radiation temperature when the distance between the blackbody furnace and the thermal infrared imager is d; a is that 2 、T e And respectively representing the visible blackbody area corresponding to the opening angle of the thermal infrared imager and the measured surface radiation temperature when the distance between the blackbody furnace and the thermal infrared imager is e.
The temperature after compensation is obtained by combining the calibration curve and the temperature compensation model is as follows:
wherein Tr is the radiation temperature of the surface of the target object; alpha is the surface absorptivity of the target object; b is the distance between the target object and the thermal infrared imager; d is a calibration constant associated with the calibration curve; c is a constant representing the radiation generated by the environment.
According to another aspect of the invention, a fire monitoring method is provided, and after the temperature compensation method is adopted to calculate a compensated target temperature value, whether a fire occurs in a monitoring area is judged according to the compensated target temperature value.
According to another aspect of the present invention, there is provided a fire monitoring system comprising:
the infrared thermal imager is used for acquiring an infrared thermal image of the monitoring area;
and the workstation is used for receiving and processing the infrared thermal image acquired by the thermal infrared imager, calculating the temperature value of the monitoring area and judging whether the monitoring area has fire or not.
As a preferable scheme of the invention, the monitoring system further comprises an unmanned aerial vehicle, and the thermal infrared imager is carried on the unmanned aerial vehicle through a cradle head;
the unmanned aerial vehicle is also provided with a visible light camera, a laser range finder and a positioning device;
the workstation is in communication connection with the airborne flight control of the unmanned aerial vehicle through ground flight control and is used for controlling the flight state of the unmanned aerial vehicle; the workstation is in communication connection with an onboard data chain of the unmanned aerial vehicle through a ground data chain and is used for receiving data returned by an infrared thermal imager, a visible light camera, a laser range finder and a positioning device on the unmanned aerial vehicle.
According to yet another aspect of the present invention, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above-described monitoring method.
Advantageous effects
Compared with the prior art, the invention has the beneficial effects that: according to the invention, the reference blackbody is used for calibrating the thermal infrared imager to obtain a calibration curve of the temperature value and the gray value, the calibration curve is used for rapidly calculating the temperature value of the target according to the thermal infrared image outputted by the thermal infrared imager, and the blackbody furnace is used for establishing a temperature compensation model to compensate the calculated temperature value, so that the influence of sunlight radiation on the short-wave infrared temperature measurement result is greatly reduced, the accuracy of short-wave infrared temperature measurement during outdoor fire monitoring is improved, and the probability of false fire alarm is reduced.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a fire monitoring method based on short-wave infrared temperature measurement;
FIG. 2 is a diagram of an operation display interface for short-wave infrared temperature measurement in an embodiment of the invention;
fig. 3 is a schematic diagram of a fire monitoring system based on short-wave infrared temperature measurement according to the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the embodiment provides a fire monitoring method based on short-wave infrared temperature measurement, which comprises the following steps:
s1, calibrating the thermal infrared imager by adopting a fitting curve method to obtain a calibration curve of a temperature value and a gray value;
in the specific implementation process, when the standard is carried out, the environment temperature and the distance between the reference black body and the thermal infrared imager are kept constant, the thermal infrared imager is used for measuring the reference black bodies with different temperatures, the thermal infrared image outputted by the thermal infrared imager is processed to obtain a plurality of groups of gray data, and the least square method is used for fitting the gray data to obtain a standard curve of the temperature value of the reference black body and the gray value of the thermal infrared image.
The verification and calibration of the thermal infrared imager require professional equipment such as a blackbody furnace. A blackbody is an idealized radiator that absorbs all wavelengths of radiant kinetic energy, has no reflection and penetration of the kinetic energy, and has an emissivity of 1 at its surface.
In the specific implementation process, the calibration process of the thermal infrared imager is as follows:
(1) Black body calibration:
a) Arranging an infrared thermal imager in the blackbody heating furnace, and establishing communication connection between the infrared thermal imager and a computer;
b) The control end sets the target temperature of the blackbody heating furnace as T0, the blackbody heating furnace is heated or cooled towards the target temperature T0,
c) D), the measured temperature value displayed in real time by the thermal infrared imager is kept in the fluctuation range of the target temperature T0, whether the measured temperature value is in an error range relative to the target temperature T0 or not is calculated, and if so, the step d) is carried out;
d) The computer randomly selects a time point to acquire the current voltage value of the thermal infrared imager as a target voltage value;
e) The computer continuously detects the voltage value of the thermal infrared imager and compares the voltage value with a target voltage value, whether the continuously detected voltage value is in an error range relative to the target voltage value is recorded within 5 minutes, if not, the computer returns to the step d), and the time point collection voltage value is selected again at random and recorded as the target voltage value; if so, recording the target voltage value as V0 at the moment, and generating coordinate points (V0 and T0);
f) Setting target temperatures of the blackbody heating furnace to be T1, T2, T3, … and Tn, correspondingly obtaining target voltage values to be V1, V2, V3, … and Vn, generating coordinate points (V1, T1), (V2, T2), (V3, T3), …, (Vn and Tn), and fitting a temperature-voltage curve with x being V, y and T by a computer in combination with the coordinate points (V0 and T0);
g) The thermal infrared imager is placed in an actual production working environment for use, a computer acquires the voltage value of the non-connected infrared temperature measurement system in real time, and the measured temperature value is inverted through a temperature-voltage curve.
(2) Measuring distance variation effects
The measurement is carried out by changing the measurement distances 4m, 6m, 8m and 10m … one by one while maintaining the conditions prescribed by the basic error measurement, the measurement results are recorded in sequence, and the error change caused by the change of the measurement distance is not more than the prescribed error range compared with the value of the basic error measurement.
(3) Range determination of emissivity
Emissivity is an important indicator affecting the measurement results, and it is important to select a suitable emissivity. Since long-term field testing may result in a change in the emissivity measurement range of the infrared thermometry system, determining the emissivity range prior to use directly affects the measurement results. The measurement distance is adjusted to be 2m, the indicated value of the infrared temperature measurement system is kept consistent with the indicated value of the blackbody, the emissivity of the infrared temperature measurement system to be measured is repeatedly adjusted for multiple times, and the change range of the emissivity of the infrared temperature measurement system to be measured is the normal range of the infrared temperature measurement system to be measured.
As a preferable scheme of the invention, the fitting formula of the calibration curve is as follows:
wherein H (Tgamma) is the temperature value of the target object; t gamma is the target object surface radiation temperature; alpha is the surface absorptivity of the target object; b is the distance between the target object and the thermal infrared imager; d is a calibration constant associated with the calibration curve; c is a constant representing the radiation generated by the environment.
As an alternative to this embodiment, the fitting formula of the calibration curve is:
H(Tγ)=a*Tγ+b
wherein H (Tgamma) is the temperature value of the target object; t gamma is the target object surface radiation temperature; a. b is a calibration constant associated with the calibration curve; the fitting formula directly fits gray data into a linear curve, the data operation is simple, but the measurement accuracy is low, and the fitting formula is suitable for occasions with low requirements on infrared temperature measurement accuracy.
S2, acquiring an infrared thermal image of the monitoring area, and obtaining a temperature value corresponding to a target pixel point on the infrared thermal image according to the calibration curve;
after the infrared thermal image of the monitoring area is obtained, gray processing is carried out on the infrared thermal image to obtain a corresponding gray image, gray values (the gray values are related to the radiation temperature of the surface of the target object) of corresponding target points in the gray image are selected, and the temperature values corresponding to the target points are obtained according to the calibration curve.
S3, a temperature compensation model is established, the temperature value is compensated, and a compensated target temperature value is obtained;
in the specific implementation process, the influence of factors such as temperature drift, atmospheric radiation and the like on the temperature measurement precision is considered, and in order to ensure the calculation precision of the system, the temperature compensation is required to be carried out on the measured temperature; in this embodiment, two blackbody furnaces with different temperatures are measured by an infrared thermal imager (in this embodiment, two blackbody furnaces with the temperatures of 600 ℃ and 1500 ℃ are selected, the temperatures and the number of the blackbody furnaces are related to the temperature measurement range, if the temperature measurement range is 0-600 ℃, only 1 blackbody furnace with the temperature of 600 ℃ is needed, if the temperature measurement range is 0-1800 ℃, two blackbody furnaces with the temperature of 600 ℃ and 1500 ℃ are selected for calibration, and so on, the larger the temperature measurement range is, the more blackbody furnaces with the temperature of need to be calibrated are, the final temperature measurement precision can be ensured, therefore, the embodiment adopts two blackbody furnaces with the temperature of 600 ℃ and 1500 ℃ for calibration, two temperature compensation models can be obtained, and the measured temperatures are compensated in two linear intervals respectively, so that a bilinear temperature compensation curve can be finally obtained, the temperature compensation curve with the first section is adopted in the temperature compensation range of 0-600 ℃, and the temperature compensation curve with the second section is adopted in the temperature compensation curve with the temperature compensation range of 600-1800 ℃.
The temperature compensation model is as follows:
Hsur=A 0 + 1 T d +A 2 T e
wherein Hsur represents a temperature compensation value; a is that 0 The visual black body area corresponding to the minimum space opening angle of the thermal infrared imager; a is that 1 、T d Respectively representing the visible blackbody area corresponding to the opening angle of the thermal infrared imager and the measured surface radiation temperature when the distance between the blackbody furnace and the thermal infrared imager is d;A 2 、T e And respectively representing the visible blackbody area corresponding to the opening angle of the thermal infrared imager and the measured surface radiation temperature when the distance between the blackbody furnace and the thermal infrared imager is e.
The temperature after compensation is obtained by combining the calibration curve and the temperature compensation model is as follows:
wherein Tr is the radiation temperature of the surface of the target object; alpha is the surface absorptivity of the target object; b is the distance between the target object and the thermal infrared imager; d is a calibration constant associated with the calibration curve; c is a constant representing the radiation generated by the environment.
The algorithm implementation method of the short wave infrared monitoring temperature in the embodiment comprises the following steps:
the original data acquired by the thermal infrared imager is displayed on an interface after two-point correction: assuming that the response of each pixel is linear, the correction equation is:
wherein,,response voltage to target for pixel (m, n,)>Temperature of target, +.>For pixel (m, n) at ambient temperature +.>The response voltage of the K (K is 128 frames in general); b (B) mn Is a constant, indicating that the picture element (m, n) is at ambient temperature +.>And 1-128 frames of response voltage.
When the target temperature is the same as the ambient temperature, the corrected response voltage is 0, and black appears on the gray scale map.
Calculating the actual temperature value of a certain pixel point by combining the related parameters such as the atmospheric transmissivity, the surface absorptivity and the like;
according to planck's law of radiation:
the actual temperature value of the pixel is:
wherein n represents a pixel point;a radiation temperature for the target surface; τ α Spectral transmittance for atmospheric air; epsilon is the target surface emissivity; t (T) 0 The actual temperature value of the pixel point is obtained; alpha is the target surface absorptivity; />Is ambient temperature; epsilon α Is the atmospheric emissivity; />Is at atmospheric temperature.
And S4, judging whether the fire occurs in the monitoring area according to the compensated target temperature value, wherein in the specific implementation process, a threshold value can be set, and when the temperature of the pixel points in the monitored target area exceeds the threshold value, judging that the fire occurs in the position.
FIG. 2 is a schematic diagram of a short-wave infrared temperature measurement interface according to the present embodiment, wherein the left side of the interface is an imported infrared thermal image, the right side is an imported temperature correction related parameter and image point selection, the top is imported calibration data and correction data, and the bottom is a display of an original temperature value (temperature value before compensation) and a compensated temperature value; when the temperature is actually measured, calibration data and correction data are led in, a temperature correction model is automatically built, an acquired infrared thermal image is led in, a certain pixel point in the image is selected, a final temperature value can be obtained through calculation by clicking on the start point, and whether fire occurs can be judged according to the temperature value.
As shown in fig. 3, this embodiment further provides a fire monitoring system based on short-wave infrared temperature measurement, including:
the infrared thermal imager is used for acquiring an infrared thermal image of the monitoring area;
and the workstation is used for receiving and processing the infrared thermal image acquired by the thermal infrared imager, calculating the temperature value of the monitoring area and judging whether the monitoring area has fire or not.
As a preferable scheme of the embodiment, the monitoring system further comprises an unmanned aerial vehicle, and the thermal infrared imager is carried on the unmanned aerial vehicle through a cradle head;
the unmanned aerial vehicle is also provided with a visible light camera, a laser range finder and a positioning device;
the visible light camera is used for acquiring a visible light image of the monitoring area, an infrared thermal image of the monitoring area can be fused with the visible light image, so that the ignition area can be judged more clearly and accurately, the laser range finder is used for measuring the distance between the unmanned aerial vehicle and a target in the monitoring area, and the positioning device is used for acquiring the position information of the unmanned aerial vehicle at high altitude.
The workstation is in communication connection with the airborne flight control of the unmanned aerial vehicle through ground flight control and is used for controlling the flight state of the unmanned aerial vehicle; the workstation is in communication connection with an onboard data chain of the unmanned aerial vehicle through a ground data chain and is used for receiving data returned by an infrared thermal imager, a visible light camera, a laser range finder and a positioning device on the unmanned aerial vehicle.
According to the invention, the unmanned aerial vehicle carries the thermal infrared imager to detect the fire condition of the target area, the thermal infrared imager is used for acquiring an infrared thermal image of the target area, the image data is transmitted to the ground workstation for data processing, the temperature value of the target area is obtained, and whether the fire condition occurs in the target area is judged according to the temperature value; in the specific implementation process, in order to ensure the accuracy of the temperature measurement of the short-wave thermal infrared imager, the blackbody needs to be calibrated once before the unmanned aerial vehicle takes off, and the blackbody needs to be calibrated again every 40 minutes after the unmanned aerial vehicle takes off, so that the influence of temperature drift on the measurement accuracy is reduced, and the temperature measurement accuracy is improved.
The present embodiment also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above-described monitoring method.
A computer program implementing the method shown in fig. 1 may be stored on one or more computer readable media. The computer readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable storage medium may also be any readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
In summary, the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functionality of some or all of the components in accordance with embodiments of the present invention may be implemented in practice using a general purpose data processing device such as a microprocessor or Digital Signal Processor (DSP). The present invention can also be implemented as an apparatus or device program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present invention may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.
The above-described specific embodiments further describe the objects, technical solutions and advantageous effects of the present invention in detail, and it should be understood that the present invention is not inherently related to any particular computer, virtual device or electronic apparatus, and various general-purpose devices may also implement the present invention. The foregoing description of the embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.

Claims (9)

1. The temperature compensation method based on the short-wave infrared temperature measurement is characterized by comprising the following steps of:
s1, calibrating the thermal infrared imager by adopting a fitting curve method to obtain a calibration curve of a temperature value and a gray value;
s2, acquiring an infrared thermal image of the monitoring area, and obtaining a temperature value corresponding to a target pixel point on the infrared thermal image according to the calibration curve;
and S3, establishing a temperature compensation model, and compensating the temperature value to obtain a compensated target temperature value.
2. The temperature compensation method based on short-wave infrared temperature measurement according to claim 1, wherein in the step S1, when the temperature compensation method is used for calibration, the ambient temperature and the distance between a reference black body and an infrared thermal imager are kept constant, the infrared thermal imager is used for measuring the reference black bodies with different temperatures, the infrared thermal image outputted by the infrared thermal imager is processed to obtain a plurality of groups of gray data, and the gray data are fitted by a least square method to obtain a calibration curve of the temperature value of the reference black body and the gray value of the infrared thermal image.
3. The temperature compensation method based on short-wave infrared temperature measurement according to claim 1, wherein the fitting formula of the calibration curve is:
wherein H (Tgamma) is the temperature value of the target object; t gamma is the target object surface radiation temperature; alpha is the surface absorptivity of the target object; b is the distance between the target object and the thermal infrared imager; d is a calibration constant associated with the calibration curve; c is a constant representing the radiation generated by the environment.
4. The temperature compensation method based on short-wave infrared temperature measurement according to claim 1, wherein the fitting formula of the calibration curve is:
H(Tγ)=a*Tγ+b
wherein H (Tgamma) is the temperature value of the target object; t gamma is the target object surface radiation temperature; a. b is the calibration constant associated with the calibration curve.
5. The method for temperature compensation based on short-wave infrared temperature measurement according to claim 1, wherein in step S3, the temperature compensation model is:
Hsur=A 0 +A 1 T d +A 2 T e
wherein Hsur represents a temperature compensation value; a is that 0 The visual black body area corresponding to the minimum space opening angle of the thermal infrared imager; a is that 1 、T d Respectively representing the visible blackbody area corresponding to the opening angle of the thermal infrared imager and the measured surface radiation temperature when the distance between the blackbody furnace and the thermal infrared imager is d; a is that 2 、T e Respectively representing the visible blackbody area corresponding to the opening angle of the thermal infrared imager and the measured surface radiation temperature when the distance between the blackbody furnace and the thermal infrared imager is e;
the temperature after compensation is obtained by combining the calibration curve and the temperature compensation model is as follows:
wherein Tr is the radiation temperature of the surface of the target object; alpha is the surface absorptivity of the target object; b is the distance between the target object and the thermal infrared imager; d is a calibration constant associated with the calibration curve; c is a constant representing the radiation generated by the environment.
6. A fire monitoring method, which adopts the temperature compensation method according to any one of claims 1 to 5, characterized in that after the compensated target temperature value is calculated, whether the fire occurs in the monitored area is judged according to the compensated target temperature value.
7. A fire monitoring system based on the fire monitoring method of claim 6, comprising:
the infrared thermal imager is used for acquiring an infrared thermal image of the monitoring area;
and the workstation is used for receiving and processing the infrared thermal image acquired by the thermal infrared imager, calculating the temperature value of the monitoring area and judging whether the monitoring area has fire or not.
8. The fire monitoring system of claim 7 further comprising an unmanned aerial vehicle, wherein the thermal infrared imager is carried on the unmanned aerial vehicle by a cradle head;
the unmanned aerial vehicle is also provided with a visible light camera, a laser range finder and a positioning device;
the workstation is in communication connection with the airborne flight control of the unmanned aerial vehicle through ground flight control and is used for controlling the flight state of the unmanned aerial vehicle; the workstation is in communication connection with an onboard data chain of the unmanned aerial vehicle through a ground data chain and is used for receiving data returned by an infrared thermal imager, a visible light camera, a laser range finder and a positioning device on the unmanned aerial vehicle.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 5.
CN202310837200.1A 2023-07-07 2023-07-07 Temperature compensation method based on short wave infrared temperature measurement, fire monitoring method and system Pending CN116878669A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117387775A (en) * 2023-12-12 2024-01-12 深圳市云帆自动化技术有限公司 Infrared temperature measurement and wireless temperature measurement monitoring system for electrical equipment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117387775A (en) * 2023-12-12 2024-01-12 深圳市云帆自动化技术有限公司 Infrared temperature measurement and wireless temperature measurement monitoring system for electrical equipment
CN117387775B (en) * 2023-12-12 2024-02-20 深圳市云帆自动化技术有限公司 Infrared temperature measurement and wireless temperature measurement monitoring system for electrical equipment

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