Thermal imaging perception-based online monitoring method and device, electronic equipment and medium

Abstract

This application provides an online monitoring method, device, electronic device, and medium based on thermal imaging sensing, relating to the field of online temperature detection technology. The method involves acquiring a thermal imaging signal and converting it into a signal to be processed using a detector; acquiring ambient temperature data, a constant temperature, an airflow temperature, and a driving current; calculating a radiation drift compensation amount using the ambient temperature data and the constant temperature when the first difference between the ambient temperature data and the constant temperature is greater than a first temperature threshold; estimating the lens barrel temperature of the thermal imaging component based on the airflow temperature and the driving current; correcting the signal to be processed using the lens barrel temperature and the airflow temperature to obtain a first corrected signal; further correcting the first corrected signal using the radiation drift compensation amount to obtain a second corrected signal; mapping the second corrected signal to an actual temperature value; generating a thermal imaging image from the actual temperature value; and displaying the image on a display screen, thereby improving the accuracy of temperature detection.

Description

Technical Field

[0001] This application relates to the field of online temperature detection technology, specifically to an online monitoring method, device, electronic device, and medium based on thermal imaging sensing. Background Technology

[0002] With the continuous growth in demand for non-contact temperature measurement in fields such as industrial equipment maintenance, power line inspection, building inspection, and medical auxiliary temperature measurement, portable thermal imaging devices have been widely used in various industries due to their advantages of convenient operation and fast response. Existing portable thermal imaging devices typically use uncooled infrared detectors. However, in practical applications, temperature changes inside the device, changes in ambient airflow temperature, and the device's own heat generation can all cause non-target radiation interference to the detector's output signal and signal processing.

[0003] Especially for integrated devices, the thermal imaging components, detectors, and circuit boards are tightly packaged, resulting in highly complex internal heat conduction and radiation. When the ambient temperature changes, the temperature of the thermal imaging component's cylinder fluctuates, causing infrared radiation drift and severely impacting measurement accuracy. Traditional calibration methods often require frequent shutter adjustments, which interrupt monitoring, preventing continuous temperature acquisition and making it difficult to cope with temperature shocks caused by rapidly changing external environments. Consequently, online temperature monitoring accuracy remains low. Summary of the Invention

[0004] This application provides an online monitoring method, device, electronic device, and medium based on thermal imaging sensing, which can improve the accuracy of temperature detection.

[0005] The technical solution of this application embodiment is as follows: In a first aspect, embodiments of this application provide an online monitoring method based on thermal imaging sensing, applied to a thermal imaging monitoring device. The thermal imaging monitoring device is an integrated structure, wherein the detector of the thermal imaging monitoring device is connected to the thermal imaging component and is equipped with a temperature control module. The temperature control module is used to control the temperature of the detector to be constant. The method includes: The thermal imaging signal of the target area collected by the thermal imaging component is acquired, and the thermal imaging signal is converted into a signal to be processed using a detector; The system acquires ambient temperature data collected by the temperature control module, a preset constant temperature, and the airflow temperature near the detector, as well as the driving current of the detector. If the first difference between the ambient temperature data and the constant temperature is greater than a preset first temperature threshold, the radiation drift compensation amount is calculated using the ambient temperature data and the constant temperature. The lens barrel temperature of the thermal imaging component is estimated based on the airflow temperature and the driving current. The signal to be processed is corrected using the lens barrel temperature and the airflow temperature to obtain a first corrected signal. The first corrected signal is then corrected using the radiation drift compensation amount to obtain a second corrected signal. The second correction signal is mapped to the actual temperature value, the actual temperature value is used to generate a thermal imaging image, and the image is displayed on the display screen.

[0006] In the above technical solution, the thermal imaging monitoring equipment is an integrated structure. In this integrated structure, the detector of the thermal imaging monitoring equipment is connected to the thermal imaging component. The detector is equipped with a temperature control module, which is used to control the temperature of the detector to be constant in order to remove temperature interference and make the online temperature detection more accurate.

[0007] In the above structure, firstly, the thermal imaging signal of the target area collected by the thermal imaging component is acquired. The detector then converts the thermal imaging signal into a signal to be processed, transforming the acquired thermal imaging signal into a processable digital signal, providing a data foundation for subsequent accurate temperature calculation. Next, the ambient temperature data, preset constant temperature, and airflow temperature near the detector are acquired by the temperature control module, along with the detector's drive current. Through the temperature control module, the set thermal state is comprehensively sensed, providing data support for subsequently addressing temperature drift caused by integrated equipment. When the first difference between the ambient temperature data and the constant temperature is greater than a preset first temperature threshold, the radiation drift compensation amount is calculated using the ambient temperature data and the constant temperature. The algorithm automatically eliminates background radiation noise, eliminating the need for frequent shutter correction and thus improving the accuracy of temperature monitoring. The lens barrel temperature of the thermal imaging component is estimated based on the airflow temperature and drive current. The signal to be processed is then corrected using these two temperatures to obtain a first corrected signal. This first corrected signal is further corrected using radiation drift compensation to obtain a second corrected signal. Through multi-level correction, the temperature measurement accuracy under complex operating conditions is greatly improved, achieving high-precision online monitoring. The second corrected signal is mapped to the actual temperature value, which is then used to generate a thermal imaging image and displayed on the screen. The accurately monitored temperature is mapped and displayed, facilitating user viewing of the monitoring results.

[0008] In some embodiments of this application, estimating the lens barrel temperature of the thermal imaging assembly based on the airflow temperature and the driving current includes: Obtain the driving power parameters of the detector and the lens temperature of the thermal imaging component at historical moments; Calculate the temperature holding power consumption using the driving voltage and driving current in the driving power parameters; The lens temperature is adjusted using a preset inertia coefficient to obtain a first adjustment result; The temperature holding power consumption is adjusted using a preset thermal coupling coefficient to obtain a second adjustment result; The lens barrel temperature is obtained by weighted and fused the first adjustment result, the second adjustment result, and the airflow temperature.

[0009] In some embodiments of this application, the process of obtaining the lens temperature of the thermal imaging component at historical moments includes: Determine the temperature state when the thermal imaging monitoring device is started, the temperature state including temperature equilibrium state and hot start state; In the state of temperature equilibrium, the lens temperature value at the historical moment is set to the airflow temperature value, and the step of estimating the lens barrel temperature of the thermal imaging component based on the airflow temperature and the drive current is performed. The lens temperature of each iteration is recorded. When estimating the lens barrel temperature, the lens temperature at the historical moment is the lens temperature recorded in the previous iteration. In the hot start state, the estimated cylinder temperature is obtained by using the airflow temperature and the drive current for initial estimation. If the second difference between the estimated cylinder temperature and the lens temperature recorded in the previous iteration is greater than a preset second temperature threshold, the lens temperature recorded in the previous iteration is corrected, and the lens temperature read at the historical moment is the corrected lens temperature.

[0010] In some embodiments of this application, correcting the lens temperature recorded in the previous iteration when the second difference between the estimated barrel temperature and the lens temperature recorded in the previous iteration is greater than a preset second temperature threshold includes: If the second difference between the estimated cylinder temperature and the lens temperature recorded in the previous iteration is greater than a preset second temperature threshold, the power-off temperature of the detector at the moment of power failure is obtained. The difference between the shutdown temperature and the airflow temperature is calculated, and the calculated third difference is multiplied by a preset attenuation factor to obtain the correction parameter; Subtract the shutdown temperature from the correction parameter to obtain the corrected lens temperature.

[0011] In some embodiments of this application, the step of correcting the signal to be processed using the lens barrel temperature and the airflow temperature to obtain a first corrected signal includes: The temperature difference is calculated based on the difference between the lens barrel temperature and the airflow temperature. The gain coefficient is then obtained by performing nonlinear fitting on the temperature difference. A preset thermal distribution base matrix is ​​obtained, which is obtained by statistically processing the data captured by heating the thermal imaging component to a preset temperature. Calculate the global offset based on the airflow temperature; The gain coefficient is multiplied by the thermal distribution basis matrix to obtain the multiplication result. The multiplication result and the global offset are then fused to obtain the signal deviation. The difference between the signal to be processed and the signal deviation is calculated to obtain the first corrected signal.

[0012] In some embodiments of this application, calculating the global offset based on the airflow temperature includes: Get the runtime duration; Multiply the gain coefficient by the operating duration to obtain the time-varying temperature bias value; The global offset is obtained by adjusting the process of polynomial calculation of the airflow temperature using the time-varying temperature offset value.

[0013] In some embodiments of this application, the step of correcting the first corrected signal using the radiation drift compensation amount to obtain the second corrected signal includes: The ratio of the first difference to the constant temperature is calculated to obtain the ratio result. The ratio result is multiplied by a preset correction coefficient and then added to a preset adjustment parameter to obtain the gain factor. The second corrected signal is obtained by subtracting the radiation drift compensation from the first corrected signal and dividing the result by the gain factor.

[0014] Secondly, embodiments of this application provide an online monitoring device based on thermal imaging sensing, applied to a thermal imaging monitoring equipment. The thermal imaging monitoring equipment is an integrated structure, with its detector connected to the thermal imaging component and equipped with a temperature control module. The temperature control module is used to control the detector temperature to remain constant. The device includes: The first data acquisition module is used to acquire thermal imaging signals of the target area collected by the thermal imaging component, and to convert the thermal imaging signals into signals to be processed using a detector. The second data acquisition module is used to acquire ambient temperature data collected by the temperature control module, preset constant temperature and airflow temperature near the detector, as well as the driving current of the detector. The compensation calculation module is used to calculate the radiation drift compensation amount using the ambient temperature data and the constant temperature when the first difference between the ambient temperature data and the constant temperature is greater than a preset first temperature threshold. The correction calculation module is used to estimate the lens barrel temperature of the thermal imaging component based on the airflow temperature and the driving current, correct the signal to be processed using the lens barrel temperature and the airflow temperature to obtain a first corrected signal, and correct the first corrected signal using the radiation drift compensation amount to obtain a second corrected signal. The mapping display module is used to map the second correction signal to an actual temperature value, generate a thermal imaging image from the actual temperature value, and display it on the display screen.

[0015] Thirdly, embodiments of this application provide an electronic device including a processor, a memory, a user interface, a communication bus, and a network interface. The processor, the memory, the user interface, and the network interface are respectively connected to the communication bus. The memory is used to store instructions. The user interface and the network interface are used to communicate with other devices. The processor is used to execute the instructions stored in the memory to cause the electronic device to perform the method described in any one of the first aspects.

[0016] Fourthly, embodiments of this application provide a computer-readable storage medium storing instructions that, when executed, perform the method described in any one of the methods provided in the first aspect above.

[0017] In summary, one or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages: 1. The system first acquires thermal imaging signals from the target area using a thermal imaging component. Then, a detector converts these signals into a processable digital signal, providing a data foundation for accurate temperature calculations. The system also acquires ambient temperature data, a preset constant temperature, and the airflow temperature near the detector from a temperature control module. This, along with the detector's drive current, allows for a comprehensive understanding of the set thermal state, providing data support for addressing temperature drift caused by integrated equipment. When the difference between the ambient temperature data and the constant temperature exceeds a preset first temperature threshold, the system calculates radiation drift compensation using the ambient temperature data and the constant temperature. The algorithm automatically eliminates background radiation noise, eliminating the need for frequent shutter correction and thus improving the accuracy of temperature monitoring. The lens barrel temperature of the thermal imaging component is estimated based on airflow temperature and drive current. The signal to be processed is then corrected using these two temperatures to obtain a first corrected signal. This first corrected signal is further corrected using radiation drift compensation to obtain a second corrected signal. Through multi-level correction, the temperature measurement accuracy under complex operating conditions is greatly improved, achieving high-precision online monitoring. The second corrected signal is mapped to the actual temperature value, which is then used to generate a thermal imaging image and displayed on the screen. The accurately monitored temperature is mapped and displayed, facilitating user access to the monitoring results. Therefore, this method effectively solves the problem of low online monitoring accuracy caused by frequent interruptions when using baffle calibration in related technologies.

[0018] 2. In the case of a hot start, the lens temperature recorded at historical moments is corrected to avoid inaccurate temperature monitoring in subsequent use due to estimation errors during continuous use of the equipment.

[0019] 3. During the multi-level correction process, a time offset parameter correction is introduced to compensate for the drift of the reference level after the detector has been running for a long time, ensuring that the temperature reading will not rise or fall slowly as a whole under long-term monitoring. Attached Figure Description

[0020] Figure 1 This is a schematic flowchart of an online monitoring method based on thermal imaging sensing provided in one embodiment of this application; Figure 2 This is a front view of a thermal imaging monitoring device provided in one embodiment of this application; Figure 3 This is a side view of a thermal imaging monitoring device provided in one embodiment of this application; Figure 4 This is a schematic diagram of the data flow module of an online monitoring method based on thermal imaging sensing provided in one embodiment of this application; Figure 5This is a schematic diagram of a module of an online monitoring device based on thermal imaging sensing provided in one embodiment of this application; Figure 6 This is a schematic diagram of the structure of an electronic device provided in one embodiment of this application. Detailed Implementation

[0021] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0022] In the description of the embodiments of this application, the words "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design that is described as "for example" or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design options. Rather, the use of the words "for example" or "for instance" is intended to present the relevant concepts in a specific manner.

[0023] In the description of the embodiments of this application, the term "multiple" means two or more. For example, multiple systems means two or more systems, and multiple screen terminals means two or more screen terminals. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0024] In related technologies, especially for integrated devices, the heat conduction and radiation within the device are highly complex due to the tight encapsulation of thermal imaging components, detectors, and circuit boards. When the ambient temperature changes, the temperature of the thermal imaging component's cylinder fluctuates, causing infrared radiation drift and severely impacting temperature measurement accuracy. While integrating sensors into the thermal imaging component for temperature measurement and estimation can improve accuracy, it also increases the manufacturing cost of the integrated device.

[0025] Based on this, embodiments of this application provide an online monitoring method, device, electronic device, and readable storage medium based on thermal imaging sensing. This online monitoring method first acquires thermal imaging signals of the target area collected by a thermal imaging component. A detector converts the thermal imaging signals into signals to be processed, transforming the acquired thermal imaging signals into processable digital signals to provide a data foundation for accurate temperature calculation. It then acquires ambient temperature data, a preset constant temperature, and the airflow temperature near the detector from a temperature control module, as well as the detector's drive current. Through the temperature control module, the set thermal state is comprehensively sensed, providing data support for addressing temperature drift caused by integrated devices. The method further addresses situations where the difference between the ambient temperature data and the constant temperature exceeds a preset first temperature threshold. The system calculates radiation drift compensation using ambient temperature data and constant temperature, automatically eliminating background radiation noise without frequent shutter correction, thus improving temperature monitoring accuracy. It estimates the lens barrel temperature of the thermal imaging component based on airflow temperature and drive current, and uses these temperatures to correct the processed signal, obtaining a first corrected signal. The radiation drift compensation is then used to further correct this first corrected signal, resulting in a second corrected signal. This multi-level correction significantly improves temperature measurement accuracy under complex conditions, achieving high-precision online monitoring. The second corrected signal is mapped to the actual temperature value, which is then used to generate a thermal imaging image and displayed on the screen. Finally, the accurately monitored temperature is mapped and displayed, facilitating user viewing of the monitoring results.

[0026] It should be noted that this online monitoring method based on thermal imaging sensing can be used in fields such as industrial equipment maintenance, power line inspection, building inspection, and medical auxiliary temperature measurement. It integrates infrared thermal imaging, high-precision temperature measurement, and online early warning functions into a portable monitoring system. Based on an integrated thermal imaging monitoring device, to reduce the cost of integrating sensors into the thermal imaging component, algorithms are used to correct the monitored temperature, improving the accuracy of online temperature monitoring. This also avoids frequent shutter correction, further enhancing monitoring accuracy.

[0027] The technical solutions provided in the embodiments of this application will be further described below with reference to the accompanying drawings.

[0028] Reference Figure 1 , Figure 1 This is a schematic flowchart of the online monitoring method based on thermal imaging sensing provided in this application embodiment. The online monitoring method based on thermal imaging sensing is applied to an online monitoring device based on thermal imaging sensing, and is executed by a processor in an electronic device or a readable storage medium. The online monitoring method based on thermal imaging sensing includes steps S100, S200, S300, S400, and S500.

[0029] Before providing a detailed explanation of online monitoring methods based on thermal imaging sensing, we will introduce thermal imaging monitoring equipment.

[0030] Online monitoring methods based on thermal imaging sensing are applied to thermal imaging monitoring equipment, such as... Figure 2 The image shown is a front view of the thermal imaging monitoring equipment. Figure 3 The image shows a side view of a thermal imaging monitoring device. The thermal imaging monitoring device is an integrated structure, including a processor, a detector, a thermal imaging component, and a display device. The detector of the thermal imaging monitoring device is connected to the thermal imaging component and the processor respectively, and is equipped with a temperature control module. The temperature control module is used to control the temperature of the detector to be constant. The processor is used to perform correction calculations based on the measured temperature, control the temperature control module, and is connected to the display device to transmit the processed signal to the display screen for display.

[0031] The main unit housing of this thermal imaging monitoring device is made of corrosion-resistant ordinary protective material with an IP54 protection rating, providing physical protection and a mounting platform to meet the 1.8m drop protection requirement. The main control circuit board integrates an uncooled vanadium oxide focal plane detector and processor to calibrate and process the acquired signals. The thermal imaging component is a thermal imaging lens fixed to the front of the housing, focusing infrared radiation information. The display device is embedded in the upper part of the housing, supporting the display of thermal imaging images, temperature measurement data, color bars, and parameter interfaces, providing four pseudo-color switching options. Near the side of the display device, there is also a group of operation buttons to receive user operation commands (mode switching, parameter settings, photo and video recording, etc.). The built-in lithium battery is a non-removable structure designed for low power consumption, ensuring continuous operation for ≥8 hours. An exposed sound-generating component is also included to receive alarm signals and emit a buzzer alert. It also features a standard tripod mounting interface located at the center of the bottom of the casing, supporting external tripods for extended fixation. It also includes a USB interface for data transmission and charging. Handheld or tripod mounting is suitable for various scenarios such as power inspection and industrial equipment monitoring. The lithium battery ensures continuous operation for ≥8 hours.

[0032] Internal components are fixed to the pre-set mounting positions on the housing with bolts / clasps. The lens (or thermal imaging lens) of the thermal imaging component is threaded and fixed. The screen is fitted with a sealing ring to ensure structural stability and IP54 protection sealing. The lithium battery is connected to the power interface of the main control circuit board through a power supply line to power all electrical components. Each functional component is soldered to the corresponding interface of the main control circuit board to form a stable power supply and signal transmission circuit. The infrared signal captured by the thermal imaging lens is transmitted to the detector and converted into an electrical signal. After being processed by the processor of the main control circuit board, it is transmitted to the display screen through a data cable to present the image and temperature measurement data. When the data exceeds the threshold, the main control circuit board triggers a buzzer alarm. The USB interface enables data export and remote monitoring. The specific assembly process is as follows: the main control circuit board and the built-in lithium battery are fixed to the preset mounting position inside the main unit housing with bolts; the thermal imaging lens is installed in the mounting hole at the front of the housing by thread locking and connected to the detector through a signal line; the display screen is fixed to the upper part of the housing by a sealing ring and the data cable is connected to the main control circuit board; the buzzer assembly, the USB interface and the corresponding interface of the main control circuit board are soldered, and the operation button group and the wrist strap connector are assembled; after completing the circuit and signal connection, the housing is sealed to ensure the IP54 protection level.

[0033] After powering on, the data flow direction during data processing is as follows: Figure 4 As shown, the specific data processing flow is as follows: Step S100: Acquire the thermal imaging signal of the target area collected by the thermal imaging component, and use the detector to convert the thermal imaging signal into a signal to be processed.

[0034] In one embodiment, for the target area to be detected, the thermal imaging component sends an infrared radiation signal. Based on the infrared radiation signal reflected from the target area, the thermal imaging lens focuses the infrared radiation within the field of view (e.g., 37.8° horizontally) onto the photosensitive surface of the detector. The thermal imaging signal of the target area collected by the thermal imaging component is acquired. This thermal imaging signal is represented by infrared photons, which does not conform to the subsequent data calculation format. The detector converts the thermal imaging signal into a signal to be processed, outputting an analog signal at a frame rate of 25Hz. After sampling by a 14-bit or 16-bit ADC, it is stored in the buffer of the main control circuit board, forming the original two-dimensional data matrix, i.e., the signal to be processed. The signal to be processed is an analog signal, representing voltage or current changes, which can be used for subsequent calculations. The above conversion of physical optical signals into computer-processable digital signals provides a data foundation for subsequent algorithm compensation.

[0035] Step S200: Obtain the ambient temperature data collected by the temperature control module, the preset constant temperature and the airflow temperature near the detector, and obtain the driving current of the detector.

[0036] In one embodiment, the ambient temperature data refers to the temperature change of the detector monitored by the temperature control module. The temperature control module can also monitor the temperature changes around the detector. The detector's temperature is reflected in the ambient temperature data, while the ambient temperature changes are the airflow temperature. The preset constant temperature is a value set at the factory for the thermal imaging monitoring equipment, representing a suitable temperature for high detector conversion efficiency; this can be 25 degrees Celsius or 30 degrees Celsius. The airflow temperature refers to the air temperature near the detector and the area inside the lens. This area is significantly affected by the heat generated by the lens and circuit board, greatly influencing subsequent calibration calculations. The detector's drive current refers to the current flowing through its core circuitry during operation, reflecting the detector's own power consumption and heat generation. The main control circuit board reads the temperature sensor values ​​integrated in the temperature control module via I2C or SPI bus to obtain various temperature data; it also reads real-time current values ​​via a power management chip or a series sampling resistor, and can also read voltage values. By obtaining the heat source parameters affecting thermal imaging accuracy from these multiple dimensions, the influence of environmental factors and self-heating factors can be distinguished, providing a basis for subsequent accurate compensation.

[0037] Step S300: If the first difference between the ambient temperature data and the constant temperature is greater than a preset first temperature threshold, calculate the radiation drift compensation amount using the ambient temperature data and the constant temperature.

[0038] In one embodiment, the difference between ambient temperature data and constant temperature data is first calculated; this difference is the first difference. A preset first temperature threshold is a pre-defined value representing the degree of influence caused by the temperature difference, which can be 5 degrees. If the first difference is greater than the preset first temperature threshold, it indicates a large temperature difference between the environment and the detector, and the casing radiation will significantly affect imaging. The radiation drift compensation is calculated using the ambient temperature data and the constant temperature. This radiation drift compensation can offset the background radiation noise caused by the inconsistency between the temperature of the casing, optical path structure, and the detector, which is beneficial for improving the accuracy of subsequent temperature correction. Specifically, the ambient temperature data and the constant temperature can be used to perform a quadratic calculation to obtain the calibrated equilibrium temperature. This equilibrium temperature represents the ambient temperature during the blackbody radiation calibration of the device at the factory. The following formula is used to perform a binomial calculation on the ambient temperature data Tenv, the equilibrium temperature Tcalib, and the constant temperature Tset to obtain the radiation drift compensation ΔE: ΔE = C1(Tenv - Tcalib) + C2(Tenv - Tset). 2 Where C1 is the electron drift coefficient and C2 is the photon radiation coefficient, their values ​​are obtained through statistical fitting of a large amount of historical data. Background radiation noise can be removed by binomial adjustment through temperature balancing. Radiation drift compensation is calculated by triggering a judgment, eliminating the "central black hole" or "edge brightening" phenomenon caused by the temperature difference between the device and the environment under high and low temperature conditions, thus ensuring image uniformity.

[0039] In another embodiment, if the first difference between the ambient temperature data and the constant temperature is less than or equal to a preset first temperature threshold, it indicates that the temperature difference between the environment and the detector is small, and the radiation from the casing does not significantly affect the imaging. The radiation drift compensation is set to 0 to avoid introducing unnecessary quantization noise into the mathematical calculations, and it does not affect the subsequent process of correcting the signal to be processed based on the radiation drift compensation.

[0040] Step S400: Estimate the lens barrel temperature of the thermal imaging component based on the airflow temperature and the driving current; correct the signal to be processed using the lens barrel temperature and the airflow temperature to obtain a first corrected signal; and correct the first corrected signal using the radiation drift compensation amount to obtain a second corrected signal.

[0041] In one embodiment, estimating the lens barrel temperature of the thermal imaging assembly based on the airflow temperature and the drive current includes, but is not limited to, the following steps: Step S410: Obtain the driving power parameters of the detector and the lens temperature of the thermal imaging component at historical moments.

[0042] In one embodiment, the driving power parameters, including the driving voltage, are read through a power management chip or a series sampling resistor. The lens temperature of the thermal imaging component at a historical moment is also read through a preset reading function to provide data support for subsequent calculations.

[0043] Specifically, the process of acquiring the lens temperature at historical moments of the thermal imaging component includes, but is not limited to, the following steps: Step S411: Determine the temperature state when the thermal imaging monitoring device is started, including the temperature equilibrium state and the hot start state.

[0044] In some possible embodiments of this application, during device power-on and power-off, it takes a certain amount of time for the object to cool down to ambient temperature. The time difference between the current power-on time and the last power-off time is compared with a preset cooling time threshold. If the threshold is exceeded, it indicates that the heat has dissipated; otherwise, it is considered that there is still residual heat inside. The preset cooling time threshold can be 30 minutes, with the temperature dropping by 1-2 degrees Celsius per minute. Temperature states include a temperature equilibrium state and a hot-start state. The temperature equilibrium state is when the thermal imaging monitoring device is first used; at this time, the temperatures of the device components are relatively balanced. This state represents the start-up of use or a state of long-term inactivity. In the temperature equilibrium state, the stored historical lens temperature is 0, or the stored data is inaccurate and needs to be re-estimated. The hot-start state occurs when the heat of the device has not yet dissipated, i.e., the time difference is less than the preset cooling time threshold. In this case, directly using the historical lens temperature for temperature correction is inaccurate. Different data acquisition methods are used for the above different temperature states to improve the accuracy of temperature monitoring.

[0045] Step S412: In the case of the temperature equilibrium state, the value of the lens temperature at the historical moment is set to the value of the airflow temperature, and the step of estimating the lens barrel temperature of the thermal imaging component based on the airflow temperature and the driving current is performed. The lens temperature of each iteration is recorded. When estimating the lens barrel temperature, the lens temperature at the historical moment is the lens temperature recorded in the previous iteration.

[0046] In some possible embodiments of this application, under the condition of temperature equilibrium, the airflow temperature value is used as the lens temperature value at a historical moment, assigning the historically suitable lens temperature to the accurate temperature in the current iteration. By obtaining the lens temperature value, the lens barrel temperature of the thermal imaging component is estimated based on the airflow temperature and drive current. The specific estimation process is detailed in subsequent steps S420 to S450. This step is then used to iterate sequentially, recording the lens temperature at each iteration. In the subsequent current temperature measurement environment, the lens barrel temperature of the thermal imaging component is estimated by reading the lens temperature recorded in the previous iteration as the lens temperature at a historical moment. By reading the lens temperature at a historical moment to estimate the lens barrel temperature at the current measurement moment, the need for sensors in the thermal imaging component can be reduced, decreasing hardware design and manufacturing costs while ensuring measurement accuracy.

[0047] Step S413: In the hot start state, an initial estimate is made using the airflow temperature and the drive current to obtain the estimated cylinder temperature.

[0048] In some possible embodiments of this application, in the hot-start state, indicating that the lens temperature has not yet cooled down, an initial estimate is made using the airflow temperature and drive current to obtain an estimated cylinder temperature, as detailed in subsequent steps S420 to S450. The lens temperature at a historical moment is assumed to be in a cold-start state, and the lens temperature read from the historical moment is the lens temperature recorded in the previous iteration corresponding to the current hot-start moment. This initial estimate triggers subsequent correction logic, ensuring temperature continuity during continuous operation and the accuracy of temperature measurements.

[0049] Step S414: If the second difference between the estimated cylinder temperature and the lens temperature recorded in the previous iteration is greater than a preset second temperature threshold, the lens temperature recorded in the previous iteration is corrected, and the lens temperature read at the historical moment is the corrected lens temperature.

[0050] Specifically, when the second difference between the estimated cylinder temperature and the lens temperature recorded in the previous iteration is greater than a preset second temperature threshold, the lens temperature recorded in the previous iteration is corrected, including but not limited to: when the second difference between the estimated cylinder temperature and the lens temperature recorded in the previous iteration is greater than a preset second temperature threshold, obtaining the detector's shutdown temperature at the time of power failure; calculating the difference between the shutdown temperature and the airflow temperature, and multiplying the calculated third difference by a preset attenuation factor to obtain a correction parameter; subtracting the correction parameter from the shutdown temperature to obtain the corrected lens temperature.

[0051] In some possible embodiments of this application, the difference between the estimated barrel temperature and the lens temperature recorded in the previous iteration is first calculated as a second difference. If the second difference is greater than a preset second temperature threshold, it indicates that the estimated temperature and the lens temperature recorded in the previous iteration are inaccurate, and the correction logic is triggered.

[0052] The detector's shutdown temperature at the moment of power failure is obtained, which can be measured by the integrated temperature module within the detector. The difference between the shutdown temperature and the airflow temperature is calculated to obtain a third difference value, which determines the initial magnitude of the heat accumulated during previous operation, for subsequent temperature correction.

[0053] Then, according to the cooling law, the cooling rate of an object is directly proportional to the temperature difference between it and the environment, and the temperature decays exponentially over time. Multiplying the third difference by the decay factor yields a correction parameter, which is related to the shutdown duration; for example, the temperature drops by 1-2 degrees Celsius for one minute of shutdown. The decay factor accurately simulates the natural cooling process of the shut-down device, calculating the remaining heat at the current moment. Subtracting the correction parameter from the shutdown temperature restores the true physical temperature, eliminating the "temperature jump" at startup, ensuring a smooth data transition, and avoiding temperature estimation errors caused by hot starts.

[0054] Step S420: Calculate the temperature holding power consumption using the driving voltage and driving current in the driving power parameters.

[0055] In one embodiment, the detector assembly acts as a resistive load, and the internal current flow generates heat. Based on the measured drive voltage and drive current in the drive power parameters, the drive voltage and drive current are multiplied according to Joule's law to obtain the power consumption, i.e., the temperature holding power consumption. The temperature holding power consumption quantifies the heat generated during detector use, providing a data basis for subsequent temperature estimation, ensuring that the estimated temperature is consistent with the actual measured temperature, and improving the accuracy of the measured temperature.

[0056] Step S430: Adjust the lens temperature using a preset inertia coefficient to obtain a first adjustment result.

[0057] In one embodiment, a preset inertia coefficient characterizes the heat capacity of the lens material, reflecting the hysteresis of temperature changes. This inertia coefficient is a constant used for calibration through isothermal experiments, and can range from 0.9 to 0.99. A larger value indicates stronger heat retention and smoother temperature changes. The lens of the thermal imaging component has specific heat capacity, and its temperature does not change abruptly, exhibiting hysteresis. By multiplying the inertia coefficient by the lens temperature, the first adjustment result is obtained. The above steps simulate the physical heating / cooling characteristics of real objects, avoiding drastic temperature jumps caused by instantaneous current fluctuations, thus conforming to real physical laws.

[0058] Step S440: Adjust the temperature holding power consumption using a preset thermal coupling coefficient to obtain a second adjustment result.

[0059] In one embodiment, a preset thermal coupling coefficient characterizes the efficiency of heat conduction from the detector to the lens. This inertial coefficient is a constant used for calibration during isothermal experiments and can be as low as 0.05. Not all the heat generated by the detector is conducted to the lens; thermal resistance exists due to the PCB board, air gaps, and other factors. Multiplying the thermal coupling coefficient by the temperature-maintaining power consumption yields a second adjustment result, accurately calculating how much "self-heating" energy is actually absorbed by the lens, thus achieving heat mapping.

[0060] Step S450: The first adjustment result, the second adjustment result, and the airflow temperature are weighted and fused to obtain the lens barrel temperature.

[0061] In one embodiment, the inertia coefficient is subtracted from 1 and then multiplied by the airflow temperature to obtain a third adjustment result, which represents the heat generated by the environmental convection equilibrium. Based on the thermal balance theory, the first, second, and third adjustment results are added together and fused to obtain the lens barrel temperature. Without adding physical sensors, a virtual sensor can be constructed to dynamically and accurately track the actual temperature of the lens under various operating conditions, providing a basis for subsequent calculations of correction signals.

[0062] In one embodiment, the step of correcting the signal to be processed using the lens barrel temperature and the airflow temperature to obtain a first corrected signal includes, but is not limited to, the following steps: Step S460: Calculate the temperature difference between the lens barrel temperature and the airflow temperature to obtain the temperature difference value, and use the temperature difference value to perform nonlinear fitting to obtain the gain coefficient.

[0063] In one embodiment, the detector exhibits nonlinear response characteristics; the response of the infrared detector to the lens's own radiation is not a simple linear relationship with the temperature difference. The temperature difference is obtained by subtracting the airflow temperature from the lens barrel temperature. A polynomial calculation is then performed on this temperature difference for nonlinear fitting. This polynomial calculation can be a quadratic or cubic polynomial. Taking a quadratic polynomial calculation as an example, the gain coefficient G is expressed as G = a(ΔT). 2 +b△T, where a and b are polynomial coefficients constant, a can be 0.002 and b can be 0.1. This gain coefficient represents the rate of change of signal gain caused by the temperature difference between the lens and the environment. It is more accurate than linear compensation, especially when the temperature difference is large, and can effectively suppress higher-order errors.

[0064] Step S470: Obtain a preset thermal distribution substrate matrix, which is obtained by statistically processing the data captured by heating the thermal imaging component to a preset temperature.

[0065] In one embodiment, the optical system exhibits spatial non-uniformity, with different infrared transmittance at the lens center and edges. Furthermore, the lens's own radiation after heating is centrally symmetrically distributed. A preset thermal distribution substrate matrix, a two-dimensional array with the same resolution as the detector, is stored in the main control circuit board's memory using factory-calibrated two-dimensional data reflecting the spatial distribution of the lens's infrared radiation. This thermal distribution substrate matrix is ​​obtained experimentally beforehand; different temperatures correspond to different thermal distribution substrate matrices, typically exhibiting concentric circles with either a bright or dark center. Based on the monitored lens barrel temperature, the corresponding thermal distribution matrix is ​​retrieved. Obtaining the thermal distribution substrate matrix provides spatial distribution information, improving the accuracy of subsequent corrections.

[0066] Step S480: Calculate the global offset based on the airflow temperature.

[0067] Specifically, the calculation of the global offset based on the airflow temperature includes, but is not limited to, the following steps: Step S481: Obtain the running duration.

[0068] In some possible embodiments of this application, the running duration is the time from when the thermal imaging monitoring device is turned on to the current moment. The running duration can be obtained by reading the time displayed on the clock of the display device, providing a basis for subsequent drift reduction calculations.

[0069] Step S482: Multiply the gain coefficient by the running duration to obtain the time-varying temperature bias value.

[0070] In some possible embodiments of this application, the detector's switching will slowly drift as the power-on time increases. Multiplying the gain coefficient by the operating duration yields a time-varying temperature bias value to address the drift problem that occurs over time. Alternatively, an adjustment coefficient can be used, which multiplies the adjustment coefficient, gain coefficient, and operating duration, to compensate for reference level drift after prolonged detector operation.

[0071] Step S483: Adjust the process of polynomial calculation of the airflow temperature using the time-varying temperature offset value to obtain the global offset.

[0072] In some possible embodiments of this application, a basic offset is obtained by polynomial calculation of the airflow temperature, similar to the polynomial calculation process described above, and will not be repeated here. The basic offset is added to the time-varying temperature offset calculated in step S482 to obtain the global offset. By making adjustments, the reference level drift after the detector has been running for a long time is compensated, ensuring that the temperature reading will not slowly increase or decrease overall under long-term monitoring (such as continuous operation for 8 hours).

[0073] Step S490: Based on the dot product of the gain coefficient and the thermal distribution basis matrix, a multiplication result is obtained. The multiplication result and the global offset are then fused to obtain the signal deviation.

[0074] In one embodiment, the gain coefficient is multiplied by the thermal distribution basis matrix to obtain a multiplication result, which represents the shape error; the global offset is the DC error. The multiplication result is added to the global offset to obtain the signal deviation, which represents the overall total error, so as to perform subsequent signal correction.

[0075] Step S4100: Calculate the difference between the signal to be processed and the signal deviation to obtain the first corrected signal.

[0076] In one embodiment, the signal deviation is subtracted from the signal to be processed to obtain a first correction signal, which achieves pixel-level precise correction, removes the "dirtiness" or "halo" of the array caused by lens temperature changes, and improves image clarity.

[0077] In one embodiment, the step of correcting the first corrected signal using the radiation drift compensation amount to obtain the second corrected signal includes, but is not limited to, the following steps: Step S4110: Calculate the ratio of the first difference to the constant temperature to obtain the ratio result. Multiply the ratio result by a preset correction coefficient and add it to a preset adjustment parameter to obtain the gain factor.

[0078] In one embodiment, the photoelectric conversion efficiency of the detector varies slightly under different ambient temperatures, and this photoelectric conversion efficiency is represented as gain. The ratio of the first difference to a constant temperature is calculated, and this ratio is then multiplied by a correction coefficient and added to an adjustment parameter to obtain the gain factor. This corrects the signal's "amplitude," ensuring consistent temperature readings when measuring the same high-temperature object under different environments. The preset correction coefficient is denoted as k. A larger k indicates that the measurement reading is more easily affected by ambient temperature, requiring a stronger correction. The value of k depends on the detector's physical characteristics; for example, if the detector uses vanadium oxide, k can be between 0.05 and 0.5. The adjustment parameter is set to 1 to ensure the signal remains constant even without temperature difference. It should be noted that the first difference is typically not zero, therefore the gain factor is also not zero. If the first difference is zero, a preset default gain value is used as the gain factor. This preset default gain value can be 1. Since the first difference is zero, it indicates a small temperature difference, and the measured temperature is accurate. A default gain value of 1 does not change the accuracy of the measured temperature.

[0079] Step S4120: Subtract the radiation drift compensation amount from the first corrected signal, and divide the result by the gain factor to obtain the second corrected signal.

[0080] In one embodiment, the radiation drift compensation amount is subtracted from the first correction signal to remove the background radiation error. The result is then divided by the gain factor and normalized to obtain the second correction signal. The above calculation decouples the influence of the environment on temperature measurement and achieves high-precision temperature measurement.

[0081] Step S500: Map the second correction signal to the actual temperature value, generate a thermal imaging image from the actual temperature value, and display it on the display screen.

[0082] In one embodiment, the second correction signal obtained according to step S400 is used to obtain a more accurate temperature value. Based on the AD value converted by the detector and according to the calibrated temperature measurement curve (AD value-temperature relationship table), the second correction signal is converted into a specific temperature matrix. Then, the temperature matrix is ​​normalized and mapped to a 0-255 color level, and rendered onto a 2.4-inch display screen according to the user-selected display method, which can be a pseudo-color panel displaying different colors. Displaying the rendered image on the screen provides a clear view of the heat distribution, helping inspection personnel quickly identify overheated areas. When the temperature exceeds a preset temperature warning threshold, a buzzer component is triggered to issue an alarm. Users can switch temperature measurement modes and set parameters via the button group, or export data via the USB 2.0 interface and connect to a computer client for online monitoring.

[0083] like Figure 5As shown, this application provides an online monitoring device 100 based on thermal imaging sensing, applied to a thermal imaging monitoring device. The thermal imaging monitoring device has an integrated structure, with its detector connected to the thermal imaging component and equipped with a temperature control module. The temperature control module is used to control the detector temperature to be constant. The online monitoring device 100 based on thermal imaging sensing acquires the thermal imaging signal of the target area collected by the thermal imaging component through a first data acquisition module 110, and converts the thermal imaging signal into a signal to be processed using the detector; it acquires the ambient temperature data, the preset constant temperature, and the airflow temperature near the detector collected by the temperature control module through a second data acquisition module 120, and acquires the driving voltage of the detector. The process involves: First, when the difference between the ambient temperature data and the constant temperature exceeds a preset first temperature threshold, the compensation calculation module 130 calculates a radiation drift compensation amount using the ambient temperature data and the constant temperature. Then, the correction calculation module 140 estimates the lens barrel temperature of the thermal imaging component based on the airflow temperature and the driving current, and corrects the signal to be processed using the lens barrel temperature and the airflow temperature to obtain a first corrected signal. Finally, the radiation drift compensation amount is used to correct the first corrected signal to obtain a second corrected signal. Finally, the mapping display module 150 maps the second corrected signal to an actual temperature value, generates a thermal imaging image from the actual temperature value, and displays it on the display screen.

[0084] It should be noted that the first data acquisition module 110 is connected to the second data acquisition module 120, the second data acquisition module 120 is connected to the compensation calculation module 130, the compensation calculation module 130 is connected to the correction calculation module 140, and the correction calculation module 140 is connected to the mapping display module 150. The above-mentioned online monitoring method based on thermal imaging perception is applied to the online monitoring device 100 based on thermal imaging perception. The online monitoring device 100 acquires thermal imaging signals of the target area collected by the thermal imaging component, uses a detector to convert the thermal imaging signals into signals to be processed, and converts the acquired thermal imaging signals into processable digital signals, providing a data basis for accurate temperature calculation; it acquires ambient temperature data, a preset constant temperature, and the airflow temperature near the detector collected by the temperature control module, as well as the driving current of the detector. Through the temperature control module, it comprehensively senses the set thermal state, providing data support for subsequently solving temperature drift caused by integrated equipment; when the first difference between the ambient temperature data and the constant temperature is greater than a preset first temperature threshold, it utilizes... Radiation drift compensation is calculated using ambient temperature data and constant temperature. An algorithm automatically eliminates background radiation noise, eliminating the need for frequent shutter correction and thus improving temperature monitoring accuracy. The lens barrel temperature of the thermal imaging component is estimated based on airflow temperature and drive current. The signal to be processed is then corrected using these two temperatures to obtain a first corrected signal. This first corrected signal is further corrected using radiation drift compensation to obtain a second corrected signal. Through multi-level correction, the temperature measurement accuracy under complex operating conditions is greatly improved, achieving high-precision online monitoring. The second corrected signal is mapped to the actual temperature value, which is then used to generate a thermal imaging image and displayed on the screen. The accurately monitored temperature is mapped and displayed, facilitating user viewing of the monitoring results.

[0085] It should also be noted that the apparatus provided in the above embodiments is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and their specific implementation process can be found in the method embodiments, which will not be repeated here.

[0086] This application also discloses an electronic device. (See reference...) Figure 6 , Figure 6 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. The electronic device 500 may include: at least one processor 501, at least one network interface 504, a user interface 503, a memory 505, and at least one communication bus 502.

[0087] The communication bus 502 is used to enable communication between these components.

[0088] The user interface 503 may include a display screen and a camera. Optionally, the user interface 503 may also include a standard wired interface and a wireless interface.

[0089] The network interface 504 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0090] The processor 501 may include one or more processing cores. The processor 501 connects to various parts of the server using various interfaces and lines, and performs various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in memory 505, and by calling data stored in memory 505. Optionally, the processor 501 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array. The processor 501 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and Modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also be implemented as a separate chip without being integrated into the processor 501.

[0091] The memory 505 may include random access memory (RAM) or read-only memory. Optionally, the memory 505 may include a non-transitory computer-readable storage medium. The memory 505 may be used to store instructions, programs, code, code sets, or instruction sets. The memory 505 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 505 may also be at least one storage device located remotely from the aforementioned processor 501. (Refer to...) Figure 6 The memory 505, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for an online monitoring method based on thermal imaging sensing.

[0092] exist Figure 6 In the illustrated electronic device 500, the user interface 503 is mainly used to provide an input interface for the user and acquire user input data; while the processor 501 can be used to call an application program stored in the memory 505 for an online monitoring method based on thermal imaging perception. When executed by one or more processors 501, the electronic device 500 performs one or more methods as described in the above embodiments. It should be noted that, for the foregoing method embodiments, for the sake of simplicity, they are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to this application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0093] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0094] In the various embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some service interface; the indirect coupling or communication connection between apparatuses or units may be electrical or other forms.

[0095] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0096] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0097] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0098] The above are merely exemplary embodiments of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Other embodiments of this disclosure will readily conceive of those skilled in the art upon consideration of the specification and the disclosure of practical truths.

[0099] This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. An online monitoring method based on thermal imaging sensing, characterized in that, The method is applied to a thermal imaging monitoring device, which is an integrated structure. The detector of the thermal imaging monitoring device is connected to the thermal imaging component and is equipped with a temperature control module. The temperature control module is used to regulate the temperature of the detector. The thermal imaging signal of the target area collected by the thermal imaging component is acquired, and the thermal imaging signal is converted into a signal to be processed using a detector; The system acquires ambient temperature data collected by the temperature control module, a preset constant temperature, and the airflow temperature near the detector, as well as the driving current of the detector. If the first difference between the ambient temperature data and the constant temperature is greater than a preset first temperature threshold, the radiation drift compensation amount is calculated using the ambient temperature data and the constant temperature. The lens barrel temperature of the thermal imaging component is estimated based on the airflow temperature and the driving current. The signal to be processed is corrected using the lens barrel temperature and the airflow temperature to obtain a first corrected signal. The first corrected signal is then corrected using the radiation drift compensation amount to obtain a second corrected signal. The second correction signal is mapped to the actual temperature value, the actual temperature value is used to generate a thermal imaging image, and the image is displayed on the display screen.

2. The method according to claim 1, characterized in that, The step of estimating the lens barrel temperature of the thermal imaging assembly based on the airflow temperature and the driving current includes: Obtain the driving power parameters of the detector and the lens temperature of the thermal imaging component at historical moments; Calculate the temperature holding power consumption using the driving voltage and driving current in the driving power parameters; The lens temperature is adjusted using a preset inertia coefficient to obtain a first adjustment result; The temperature holding power consumption is adjusted using a preset thermal coupling coefficient to obtain a second adjustment result; The lens barrel temperature is obtained by weighted and fused the first adjustment result, the second adjustment result, and the airflow temperature.

3. The method according to claim 2, characterized in that, The process of acquiring the lens temperature at historical moments of the thermal imaging component includes: Determine the temperature state when the thermal imaging monitoring device is started, the temperature state including temperature equilibrium state and hot start state; In the state of temperature equilibrium, the lens temperature value at the historical moment is set to the airflow temperature value, and the step of estimating the lens barrel temperature of the thermal imaging component based on the airflow temperature and the drive current is performed. The lens temperature of each iteration is recorded. When estimating the lens barrel temperature, the lens temperature at the historical moment is the lens temperature recorded in the previous iteration. In the hot start state, the estimated cylinder temperature is obtained by using the airflow temperature and the drive current for initial estimation. If the second difference between the estimated cylinder temperature and the lens temperature recorded in the previous iteration is greater than a preset second temperature threshold, the lens temperature recorded in the previous iteration is corrected, and the lens temperature read at the historical moment is the corrected lens temperature.

4. The method according to claim 3, characterized in that, When the second difference between the estimated barrel temperature and the lens temperature recorded in the previous iteration is greater than a preset second temperature threshold, the correction of the lens temperature recorded in the previous iteration includes: If the second difference between the estimated cylinder temperature and the lens temperature recorded in the previous iteration is greater than a preset second temperature threshold, the power-off temperature of the detector at the moment of power failure is obtained. The difference between the shutdown temperature and the airflow temperature is calculated, and the calculated third difference is multiplied by a preset attenuation factor to obtain the correction parameter; Subtract the shutdown temperature from the correction parameter to obtain the corrected lens temperature.

5. The method according to claim 1, characterized in that, The step of correcting the signal to be processed using the lens barrel temperature and the airflow temperature to obtain a first corrected signal includes: The temperature difference is calculated based on the difference between the lens barrel temperature and the airflow temperature. The gain coefficient is then obtained by performing nonlinear fitting on the temperature difference. A preset thermal distribution base matrix is ​​obtained, which is obtained by statistically processing the data captured by heating the thermal imaging component to a preset temperature. Calculate the global offset based on the airflow temperature; The gain coefficient is multiplied by the thermal distribution basis matrix to obtain the multiplication result. The multiplication result and the global offset are then fused to obtain the signal deviation. The difference between the signal to be processed and the signal deviation is calculated to obtain the first corrected signal.

6. The method according to claim 5, characterized in that, The calculation of the global offset based on the airflow temperature includes: Get the runtime duration; Multiply the gain coefficient by the operating duration to obtain the time-varying temperature bias value; The global offset is obtained by adjusting the process of polynomial calculation of the airflow temperature using the time-varying temperature offset value.

7. The method according to claim 1, characterized in that, The step of correcting the first corrected signal using the radiation drift compensation amount to obtain the second corrected signal includes: The ratio of the first difference to the constant temperature is calculated to obtain the ratio result. The ratio result is multiplied by a preset correction coefficient and then added to a preset adjustment parameter to obtain the gain factor. The second corrected signal is obtained by subtracting the radiation drift compensation from the first corrected signal and dividing the result by the gain factor.

8. An online monitoring device based on thermal imaging sensing, characterized in that, An integrated thermal imaging monitoring device is used in thermal imaging monitoring equipment. The detector of the thermal imaging monitoring equipment is connected to the thermal imaging component and is equipped with a temperature control module. The temperature control module is used to control the detector temperature to remain constant. The device includes: The first data acquisition module is used to acquire thermal imaging signals of the target area collected by the thermal imaging component, and to convert the thermal imaging signals into signals to be processed using a detector. The second data acquisition module is used to acquire ambient temperature data collected by the temperature control module, preset constant temperature and airflow temperature near the detector, as well as the driving current of the detector. The compensation calculation module is used to calculate the radiation drift compensation amount using the ambient temperature data and the constant temperature when the first difference between the ambient temperature data and the constant temperature is greater than a preset first temperature threshold. The correction calculation module is used to estimate the lens barrel temperature of the thermal imaging component based on the airflow temperature and the driving current, correct the signal to be processed using the lens barrel temperature and the airflow temperature to obtain a first corrected signal, and correct the first corrected signal using the radiation drift compensation amount to obtain a second corrected signal. The mapping display module is used to map the second correction signal to an actual temperature value, generate a thermal imaging image from the actual temperature value, and display it on the display screen.

9. An electronic device, characterized in that, The device includes a processor, a memory, a user interface, a communication bus, and a network interface. The processor, the memory, the user interface, and the network interface are respectively connected to the communication bus. The memory is used to store instructions. The user interface and the network interface are used to communicate with other devices. The processor is used to execute the instructions stored in the memory to cause the electronic device to perform the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed, perform the method as described in any one of claims 1-7.

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