An intelligent temperature monitoring method and system based on infrared thermometer

Abstract

The present invention discloses an intelligent temperature monitoring method and system based on an infrared thermometer, and relates to the field of optical detection technology. The method comprises S1, acquiring an infrared radiation signal of a target object collected by an infrared thermometer; S2, preprocessing the collected infrared radiation signal to remove background noise; S3, adjusting the parameters of the infrared thermometer in real time based on changes in ambient light intensity; S4, converting the preprocessed infrared radiation signal into a temperature value; S5, comparing the temperature value with a preset temperature threshold, and giving an alarm according to the comparison result; the intelligent temperature monitoring method and system based on an infrared thermometer solve the problem of background noise influence caused by optical interference when the ambient light intensity changes greatly in the prior art.

Description

Technical Field

[0001] The present invention relates to the field of optical detection technology, and in particular to an intelligent temperature monitoring method and system based on an infrared thermometer. Background Art

[0002] In modern optical detection systems, changes in ambient light intensity are a common problem. Optical detection systems usually rely on precise optical signal acquisition and processing and are widely used in industrial detection, medical diagnosis, automatic control and other fields. However, in practical applications, due to the dynamic changes in ambient light intensity, the detection system is susceptible to optical interference, which in turn introduces background noise.

[0003] The appearance of background noise is mainly caused by random light sources or non-target light signals in the external environment. These background interferences will lead to a decrease in the reliability and accuracy of optical signals, especially in scenarios with high precision requirements, the system is prone to signal drift or misdetection. For example, in outdoor environments, due to direct sunlight or shadow changes, the photoelectric sensor of the detection equipment may not be able to distinguish between target signals and noise signals. In this case, the signal-to-noise ratio of the signal is significantly reduced, which in turn affects the sensitivity and detection results of the system. In addition, in order to reduce ambient light interference, current optical detection systems generally use methods such as filters, shading devices or algorithm compensation. However, these methods have certain limitations. For example, filters can only reduce interference light in a specific frequency band, but are powerless against interference light in other frequency bands; shading devices will limit the detection range of the system; and complex algorithm compensation may increase the computational burden and response time of the system. Therefore, in the case of large changes in ambient light intensity, due to the background noise introduced by optical interference, the optical detection system faces technical bottlenecks such as inaccurate signal extraction, low processing efficiency and insufficient detection accuracy. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent temperature monitoring method and system based on an infrared thermometer to solve the problem of background noise caused by optical interference when the ambient light intensity changes greatly in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solution: an intelligent temperature monitoring method based on an infrared thermometer, the method comprising:

[0006] S1, obtaining the infrared radiation signal of the target object collected by the infrared thermometer;

[0007] S2. Preprocess the collected infrared radiation signal to remove background noise, specifically simulate the entanglement effect between the signal and the environment, model the environmental noise state, and extract the pure signal state after denoising. The specific formula is: ;in, represents the result after denoising the original signal. It means that the collected infrared radiation signal is modeled to show its characteristics. represents the environmental noise collected together with the infrared signal, Indicates that only the target signal features are retained in the noise model;

[0008] S3. Adjust the parameters of the infrared thermometer in real time based on the change of ambient light intensity. Specifically, define the optimal light intensity of the thermometer and calculate the current performance using the real-time monitored ambient light intensity. The specific formula is:

[0009] ;

[0010] in, Indicates the parameter adjustment efficiency of the thermometer. Indicates maximum efficiency, Indicates the current light intensity. represents the optimal light intensity value, It represents the sensitivity coefficient, that is, the sensitivity of the thermometer to changes in light intensity;

[0011] S4, converting the preprocessed infrared radiation signal into a temperature value;

[0012] S5. Compare the temperature value with a preset temperature threshold, and issue an alarm based on the comparison result.

[0013] Preferably, the S1 comprises:

[0014] The radiation signal of the target object is regarded as point source radiation, the receiving wavelength range of the infrared thermometer is set, the infrared radiation intensity is corrected using the device response function, and the signal receiving intensity is calculated. The specific formula is:

[0015] ;

[0016] in, Indicates the total intensity of the infrared radiation signal of the target object received by the infrared thermometer. Indicates the target object at wavelength The infrared radiation intensity distribution at Indicates the wavelength of the infrared thermometer The response coefficient at and They respectively represent the starting value and ending value of the receiving wavelength range of the infrared thermometer.

[0017] Preferably, S4 includes:

[0018] According to the pre-processed infrared signal, the radiation power of the target object is calculated, the emissivity and surface area of ​​the target object are determined, and the temperature value is calculated. The target temperature value calculation formula is ;

[0019] in, Indicates the target temperature value, Indicates the infrared radiation energy emitted by the target object per unit time. is a constant that represents the relationship between radiant power and temperature. Indicates the infrared emission efficiency of the target object, Represents the effective surface area of ​​the target object radiating outward.

[0020] Preferably, S5 includes:

[0021] Set a threshold, define the alarm mode after the temperature value exceeds the threshold, design the alarm signal as a harmonic superposition mode, adjust the weight, frequency and phase of the harmonic signal, generate an alarm signal, transmit the alarm level, and generate the alarm signal. The specific formula is:

[0022] ;

[0023] in, Indicates the final generated alarm signal strength, Indicates the frequency number of the alarm signal, represents the weight of the alarm signal, Indicates the angular frequency of the alarm signal, Indicates time, Indicates the phase of the alarm signal.

[0024] Preferably, S3 further includes:

[0025] Get the current ambient light intensity L;

[0026] Adjust the gain G of the infrared thermometer based on the current ambient light intensity L;

[0027] The infrared radiation signal is collected again according to the adjusted gain G.

[0028] Preferably, adjusting the gain G of the infrared thermometer based on the current ambient light intensity L includes:

[0029] Determine whether the current ambient light intensity L is greater than the preset threshold L th1 ;

[0030] Based on the formula G=k×(L-L0), the gain G is calculated, where k is the gain adjustment coefficient, L0 is the initial light intensity, and L is the ambient light intensity;

[0031] If L>L th1 , then increase the gain G;

[0032] Otherwise, reduce the gain G.

[0033] Preferably, the S1 further comprises The calculation uses an integral spectrometer to measure the radiation intensity distribution of the target object at different wavelengths and normalizes the measured radiation intensity.

[0034] Preferably, the S4 further includes:

[0035] When the target object is a metal object, set the emissivity range to 0.2 ≤ ≤0.5;

[0036] When the target object is a non-metallic object, set the emissivity range to 0.8 ≤ ≤0.95.

[0037] Preferably, the S4 further includes:

[0038] The effective surface area of ​​the target object radiating outward The calculation uses infrared imaging technology to obtain the outline of the target object, divides the surface of the target object into several sub-areas, calculates the area of ​​each sub-area separately, and then sums them up to get the total area.

[0039] An intelligent temperature monitoring system based on an infrared thermometer adopts the intelligent temperature monitoring method based on an infrared thermometer, and the system comprises:

[0040] Infrared temperature measurement unit, used to obtain infrared radiation signals of target objects;

[0041] A preprocessing unit connected to the infrared temperature measuring unit is used to preprocess the infrared radiation signal collected by the infrared temperature measuring unit to remove background noise;

[0042] A parameter adjustment unit connected to the preprocessing unit and the infrared temperature measurement unit, used to adjust the parameters of the infrared temperature measurement unit in real time based on changes in ambient light intensity;

[0043] A temperature calculation unit connected to the preprocessing unit, used to convert the preprocessed infrared radiation signal into a temperature value of the target object;

[0044] The alarm unit connected to the temperature calculation unit is used to compare the temperature value calculated by the temperature calculation unit with a preset temperature threshold value and generate an alarm signal according to the comparison result.

[0045] It can be seen from the above technical solution that the present invention has the following beneficial effects:

[0046] The intelligent temperature monitoring method and system based on the infrared thermometer obtains the infrared radiation signal of the target object collected by the infrared thermometer, pre-processes the collected infrared radiation signal, removes background noise, adjusts the parameters of the infrared thermometer in real time based on the change of ambient light intensity, converts the pre-processed infrared radiation signal into a temperature value, compares the temperature value with a preset temperature threshold, and issues an alarm according to the comparison result, thereby significantly improving the signal-to-noise ratio of the detection signal, effectively suppressing the interference of external random light sources or non-target light signals, ensuring the reliability of the optical detection system in complex environments, improving the detection equipment's perception of weak light signals, enhancing the system's sensitivity and stability, improving the detection accuracy, and realizing efficient signal extraction and processing. While ensuring the detection accuracy, the response speed of the system is improved, the accuracy of the detection result is greatly improved, and the problem of background noise influence caused by optical interference when the ambient light intensity changes greatly in the prior art is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is a flow chart of the method of the present invention;

[0048] Figure 2 It is a schematic diagram of the connection between the system units of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] like Figure 1 As shown, the present invention provides a technical solution: an intelligent temperature monitoring method based on an infrared thermometer, the method comprising:

[0051] S1, obtaining the infrared radiation signal of the target object collected by the infrared thermometer;

[0052] S2. Preprocess the collected infrared radiation signal to remove background noise, specifically simulate the entanglement effect between the signal and the environment, model the environmental noise state, and extract the pure signal state after denoising. The specific formula is: ;in, represents the result after denoising the original signal. It means that the collected infrared radiation signal is modeled to show its characteristics. represents the environmental noise collected together with the infrared signal, Indicates that only the target signal features are retained in the noise model;

[0053] S3. Adjust the parameters of the infrared thermometer in real time based on the change of ambient light intensity. Specifically, define the optimal light intensity of the thermometer and calculate the current performance using the real-time monitored ambient light intensity. The specific formula is:

[0054] ;

[0055] in, Indicates the parameter adjustment efficiency of the thermometer. Indicates maximum efficiency, Indicates the current light intensity. represents the optimal light intensity value, It represents the sensitivity coefficient, that is, the sensitivity of the thermometer to changes in light intensity;

[0056] S4, converting the preprocessed infrared radiation signal into a temperature value;

[0057] S5. Compare the temperature value with the preset temperature threshold and give an alarm based on the comparison result. This method ensures the accuracy of the measurement result by obtaining the infrared radiation signal and removing the environmental noise. By introducing the noise modeling method based on the entangled state, the infrared signal is decoupled from the environmental noise and the pure state of the target signal is extracted; and the optimization parameters are calculated by formula so that the infrared thermometer can maintain a high-efficiency working state under different ambient light intensity conditions, thereby achieving accurate temperature detection. Finally, the signal is converted into a temperature value and compared with the preset threshold for timely monitoring and safety alarm. By removing the environmental noise, the accuracy and measurement reliability of the infrared signal are improved; the light intensity parameter optimization mechanism adjusted in real time is used to enable the infrared thermometer to adapt to different environmental conditions, improving the sensitivity and measurement efficiency of the device; the detected temperature value is compared with the preset threshold, realizing the intelligent alarm of temperature anomaly, improving safety and practicality.

[0058] S1 includes treating the radiation signal of the target object as point source radiation, setting the receiving wavelength range of the infrared thermometer, using the device response function to correct the infrared radiation intensity, and calculating the signal receiving intensity. The specific formula is:

[0059] ;

[0060] in, Indicates the total intensity of the infrared radiation signal of the target object received by the infrared thermometer. Indicates the target object at wavelength The infrared radiation intensity distribution at Indicates the wavelength of the infrared thermometer The response coefficient at and They respectively represent the starting value and ending value of the receiving wavelength range of the infrared thermometer.

[0061] This method ensures that the total intensity of the infrared radiation signal of the target object can be accurately captured by setting the receiving wavelength range of the infrared thermometer and correcting the device response function. Specifically, the radiation signal of the target object is regarded as point source radiation. Within a given wavelength range, the infrared radiation intensity distribution and the device response function are coupled and calculated by an integral formula to obtain the total intensity of the radiation signal of the target object. This step provides a reliable data basis for subsequent temperature calculation and monitoring. By setting the receiving wavelength range and correcting the device response function, the infrared thermometer effectively improves the accuracy of receiving radiation signals in different wavelength ranges; the integral method is used to calculate the infrared radiation intensity, which can comprehensively consider the radiation characteristics of the target object and the response characteristics of the thermometer, and enhance the accuracy of signal processing; it provides an efficient and highly applicable signal correction method that can adapt to different types of target objects and temperature measurement environments, and expands the applicable scenarios of infrared thermometers.

[0062] S4 includes calculating the radiation power of the target object, determining the emissivity and surface area of ​​the target object, and calculating the temperature value according to the pre-processed infrared signal. The target temperature value calculation formula is ;

[0063] in, Indicates the target temperature value, Indicates the infrared radiation energy emitted by the target object per unit time. is a constant that represents the relationship between radiant power and temperature. Indicates the infrared emission efficiency of the target object, Represents the effective surface area of ​​the target object radiating outward.

[0064] This method is based on the basic physical laws of infrared radiation. It combines the preprocessed infrared signal with the radiation parameters of the target object to accurately calculate the temperature value of the target object. First, the radiation power of the target object is obtained through signal processing. , combined with the target's emissivity Effective radiation area , converting radiation energy into temperature value, and using the formula to calculate the target temperature value provides an important basis for subsequent monitoring and judgment. By combining the calculation of radiation power, emissivity and effective surface area, the temperature value calculation is more accurate; this method has good adaptability to different target objects, especially for targets of various materials and complex shapes; it ensures the physical scientificity and theoretical rigor of temperature calculation; the measurement and estimation methods of emissivity and surface area can be adjusted according to actual needs to enhance the flexibility of the system.

[0065] S5 includes setting a threshold, defining an alarm mode after the temperature value exceeds the threshold, designing the alarm signal as a harmonic superposition mode, adjusting the weight, frequency and phase of the harmonic signal, generating an alarm signal, transmitting the alarm level, and generating an alarm signal. The specific formula is:

[0066] ;

[0067] in, Indicates the final generated alarm signal strength, Indicates the frequency number of the alarm signal, represents the weight of the alarm signal, Indicates the angular frequency of the alarm signal, Indicates time, Indicates the phase of the alarm signal.

[0068] The method presets a temperature threshold and triggers an alarm mechanism for a temperature value that exceeds the threshold. The alarm signal is composed of multiple frequency components superimposed on each other. By controlling the weight, phase and angular frequency of each frequency, the adjustability and diversity of the alarm signal are achieved. For example, when the temperature value exceeds the threshold, the system will adjust the intensity and complexity of the alarm signal according to the degree of temperature exceeding the standard, so that the user can intuitively perceive the level of the alarm and take timely measures. By adjusting the frequency, weight and phase of the signal, the alarm signal can be flexibly customized according to different application requirements; the intensity of the alarm signal changes with the severity of the temperature exceeding the standard, and the user can quickly identify the alarm level; combined with the sound and signal enhancement mode, the propagation effect of the alarm signal is improved to adapt to noisy environments or long-distance transmission requirements; the alarm mechanism can respond to temperature changes in real time, improving the safety and practicality of the monitoring system.

[0069] S3 also includes obtaining the current ambient light intensity L; adjusting the gain G of the infrared thermometer based on the current ambient light intensity L; and re-collecting the infrared radiation signal according to the adjusted gain G. The method optimizes the signal acquisition process by obtaining the current ambient light intensity L in real time and dynamically adjusting the gain G of the infrared thermometer. When the ambient light intensity changes, the sensitivity of the infrared thermometer may be affected. By adjusting the gain parameter, the infrared thermometer can maintain a stable signal acquisition capability under different lighting conditions. After re-collecting the infrared radiation signal, the system can measure the temperature of the target object more accurately. Real-time monitoring of ambient light intensity and adjustment of gain ensure the signal acquisition quality of the infrared thermometer under different lighting conditions; optimizing signal acquisition through gain adjustment to reduce the interference of ambient light intensity fluctuations on infrared signal measurement; re-collecting the signal after adjusting the gain to achieve rapid response to environmental changes and ensure the stability and measurement accuracy of the system; the method is applicable to a variety of complex lighting environments, such as strong light, weak light or scenes with rapid changes in lighting.

[0070] Adjusting the gain G of the infrared thermometer based on the current ambient light intensity L includes determining whether the current ambient light intensity L is greater than a preset threshold value L th1 ; Based on the formula G=k×(L-L0), calculate the gain G, where k is the gain adjustment coefficient, L0 is the initial light intensity, and L is the ambient light intensity; if L>L th1 , then increase the gain G; otherwise, decrease the gain G.

[0071] This method dynamically calculates the gain G by real-time judgment of the current ambient light intensity L and combining the gain adjustment formula. th1 When the ambient light intensity is lower than or equal to the preset threshold, the gain value G will increase to compensate for the signal details that may be lost under high light intensity; when the ambient light intensity is lower than or equal to the preset threshold, the gain value will decrease to avoid noise interference caused by excessive signal amplification. The automatic gain adjustment ensures that the infrared thermometer can work stably under different light intensity conditions. The gain is adjusted in real time according to the ambient light intensity, effectively adapting to the change of light intensity and improving the reliability of the measurement; the signal gain is increased in a strong light environment to compensate for the signal attenuation; the gain is reduced in a weak light environment to avoid noise amplification and improve the measurement accuracy; the preset threshold L is used. th1 As a trigger condition, it can quickly respond to changes in ambient light intensity to ensure the stability of the system; by adjusting the gain adjustment coefficient kkk and the initial light intensity L0, flexible adaptation to different measurement scenarios can be achieved.

[0072] The S1 also includes The calculation of the method uses an integral spectrometer to measure the radiation intensity distribution of the target object at different wavelengths and normalizes the measured radiation intensity. , by normalizing the distribution, the intensity deviation caused by equipment characteristics or external factors in the measurement is eliminated, thereby obtaining a standardized radiation intensity distribution curve. After normalization, the true radiation characteristics of the target object can be more accurately reflected, providing more reliable data support for subsequent temperature calculations. Normalization reduces the impact of equipment errors or ambient light interference on the radiation intensity distribution to ensure data accuracy; the normalized radiation intensity curve can better adapt to different equipment and measurement conditions, improving the applicability of the system; the standardized radiation intensity distribution facilitates the comparison and analysis of different measurement results, improving the availability of data; the standardized distribution curve provides more accurate input parameters for temperature calculations, thereby improving the reliability and consistency of the calculation results.

[0073] S4 also includes setting the emissivity range to 0.2≤ when the target object is a metal object. ≤0.5; when the target object is a non-metallic object, set the emissivity range to 0.8≤ ≤0.95. The emissivity of infrared radiation is an important parameter for temperature calculation. The emissivity value depends on the material of the target object. Metal objects usually have a lower emissivity, ranging from 0.2 ≤ ≤0.5, while non-metallic objects (such as ceramics, plastics, etc.) usually have higher emissivity, ranging from 0.8≤ ≤0.95. By setting a reasonable emissivity range according to the material of the object, the accuracy of temperature calculation can be effectively improved. Adjust the emissivity range according to the material of the target object to ensure that the radiation characteristic parameters are more in line with reality and improve the accuracy of temperature calculation; distinguish between metal objects and non-metal objects to improve the adaptability of infrared temperature measurement methods in various application scenarios; by presetting the emissivity range, simplify the parameter adjustment process of the measurement system and reduce the possibility of human setting errors; using the emissivity range of different materials can reduce the error caused by differences in material characteristics in temperature calculation and enhance the reliability of the monitoring system.

[0074] S4 also includes the effective surface area of ​​the target object radiating outward The calculation of the method uses infrared imaging technology to obtain the outline of the target object, divides the surface of the target object into several sub-areas, calculates the area of ​​each sub-area separately, and then sums them up to get the total area. This method uses infrared imaging technology to obtain the outline of the target object, and divides the surface of the object into several sub-areas through digital processing. For each sub-area, its effective radiation surface area is calculated based on its shape characteristics and directionality. By summing up the radiation surface areas of all sub-areas, the total effective radiation surface area of ​​the target object is obtained. . This process can accurately reflect the radiation characteristics of complex-shaped targets and provide more accurate parameter support for subsequent temperature calculations. Through infrared imaging technology and regional division methods, the effective radiation surface area of ​​complex-shaped targets can be accurately calculated; for target objects with curved surfaces or irregular shapes, this method improves adaptability through partition calculations; combined with infrared imaging technology, real-time calculation of the surface area of ​​the target object can be achieved to adapt to dynamically changing measurement scenarios; more accurate radiation surface area calculation results help improve the accuracy of temperature measurements.

[0075] Also provided is an intelligent temperature monitoring system based on an infrared thermometer, which adopts the intelligent temperature monitoring method based on an infrared thermometer, and the system comprises:

[0076] Infrared temperature measurement unit, used to obtain infrared radiation signals of target objects;

[0077] A preprocessing unit connected to the infrared temperature measuring unit is used to preprocess the infrared radiation signal collected by the infrared temperature measuring unit to remove background noise;

[0078] A parameter adjustment unit connected to the preprocessing unit and the infrared temperature measurement unit, used to adjust the parameters of the infrared temperature measurement unit in real time based on changes in ambient light intensity;

[0079] A temperature calculation unit connected to the preprocessing unit, used to convert the preprocessed infrared radiation signal into a temperature value of the target object;

[0080] The alarm unit connected to the temperature calculation unit is used to compare the temperature value calculated by the temperature calculation unit with a preset temperature threshold value and generate an alarm signal according to the comparison result.

[0081] Through the collaborative work of various units, this system realizes the whole process of intelligent monitoring from infrared radiation signal acquisition to temperature calculation and alarm: the infrared temperature measurement unit is responsible for collecting high-precision infrared signals; the preprocessing unit removes background noise to ensure signal purity; the parameter adjustment unit adjusts the equipment parameters according to the changes in ambient light intensity, so that the system can adapt to various lighting conditions; the temperature calculation unit uses accurate temperature calculation methods to convert radiation signals into temperature values; the alarm unit generates intuitive alarm signals based on the comparison between the temperature value and the preset threshold value to prompt the user of abnormal temperature. The signal acquisition, processing, calculation and alarm are integrated into one, realizing efficient and automated temperature monitoring; through the collaborative work of multiple units, the system can adapt to complex lighting and target conditions and improve measurement accuracy; the system monitors the changes in ambient light intensity in real time and dynamically adjusts parameters to ensure stable and reliable measurement results; generates alarm signals matching the degree of over-temperature, helping users to quickly judge and respond to abnormal situations; it is suitable for the temperature monitoring needs of various target objects (such as metals and non-metals), with good flexibility and scalability.

[0082] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent temperature monitoring method based on infrared thermometer, characterized in that: The method comprises: S1, obtaining the infrared radiation signal of the target object collected by the infrared thermometer; S2. Preprocess the collected infrared radiation signal to remove background noise, specifically simulate the entanglement effect between the signal and the environment, model the environmental noise state, and extract the pure signal state after denoising. The specific formula is: ; in, represents the result after denoising the original signal. It means that the collected infrared radiation signal is modeled to show its characteristics. represents the environmental noise collected together with the infrared signal, Indicates that only the target signal features are retained in the noise model; S3. Adjust the parameters of the infrared thermometer in real time based on the change of ambient light intensity. Specifically, define the optimal light intensity of the thermometer and calculate the current performance using the real-time monitored ambient light intensity. The specific formula is: ； in, Indicates the parameter adjustment efficiency of the thermometer. Indicates maximum efficiency, Indicates the current light intensity. represents the optimal light intensity value, It represents the sensitivity coefficient, that is, the sensitivity of the thermometer to changes in light intensity; S4, converting the preprocessed infrared radiation signal into a temperature value; S5. Compare the temperature value with a preset temperature threshold, and issue an alarm based on the comparison result.

2. The intelligent temperature monitoring method based on infrared thermometer according to claim 1, characterized in that: The S1 includes: The radiation signal of the target object is regarded as point source radiation, the receiving wavelength range of the infrared thermometer is set, the infrared radiation intensity is corrected using the device response function, and the signal receiving intensity is calculated. The specific formula is: ； in, Indicates the total intensity of the infrared radiation signal of the target object received by the infrared thermometer. Indicates the target object at wavelength The infrared radiation intensity distribution at Indicates the wavelength of the infrared thermometer The response coefficient at and They respectively represent the starting value and ending value of the receiving wavelength range of the infrared thermometer.

3. The intelligent temperature monitoring method based on infrared thermometer according to claim 1 is characterized in that: The S4 includes: According to the pre-processed infrared signal, the radiation power of the target object is calculated, the emissivity and surface area of ​​the target object are determined, and the temperature value is calculated. The target temperature value calculation formula is ; in, Indicates the target temperature value, Indicates the infrared radiation energy emitted by the target object per unit time. is a constant that represents the relationship between radiant power and temperature. Indicates the infrared emission efficiency of the target object, Represents the effective surface area of ​​the target object radiating outward.

4. The intelligent temperature monitoring method based on infrared thermometer according to claim 1, characterized in that: The S5 includes: Set a threshold, define the alarm mode after the temperature value exceeds the threshold, design the alarm signal as a harmonic superposition mode, adjust the weight, frequency and phase of the harmonic signal, generate an alarm signal, transmit the alarm level, and generate the alarm signal. The specific formula is: ； in, Indicates the final generated alarm signal strength, Indicates the frequency number of the alarm signal, represents the weight of the alarm signal, Indicates the angular frequency of the alarm signal, Indicates time, Indicates the phase of the alarm signal.

5. The intelligent temperature monitoring method based on infrared thermometer according to claim 1 is characterized in that: The S3 further includes: Get the current ambient light intensity L; Adjust the gain G of the infrared thermometer based on the current ambient light intensity L; The infrared radiation signal is collected again according to the adjusted gain G.

6. The intelligent temperature monitoring method based on infrared thermometer according to claim 5 is characterized in that: The step of adjusting the gain G of the infrared thermometer based on the current ambient light intensity L comprises: Determine whether the current ambient light intensity L is greater than the preset threshold L th1 ; Based on the formula G=k×(L-L0), the gain G is calculated, where k is the gain adjustment coefficient, L0 is the initial light intensity, and L is the ambient light intensity; If L>L th1 , then increase the gain G; Otherwise, reduce the gain G.

7. The intelligent temperature monitoring method based on infrared thermometer according to claim 2 is characterized in that: The S1 also includes The calculation uses an integral spectrometer to measure the radiation intensity distribution of the target object at different wavelengths and normalizes the measured radiation intensity.

8. The intelligent temperature monitoring method based on infrared thermometer according to claim 3 is characterized in that: The S4 further comprises: When the target object is a metal object, set the emissivity range to 0.2 ≤ ≤0.5; When the target object is a non-metallic object, set the emissivity range to 0.8 ≤ ≤0.

95.

9. The intelligent temperature monitoring method based on infrared thermometer according to claim 3 is characterized in that: The S4 further comprises: The effective surface area of ​​the target object radiating outward The calculation uses infrared imaging technology to obtain the outline of the target object, divides the surface of the target object into several sub-areas, calculates the area of ​​each sub-area separately, and then sums them up to get the total area.

10. An intelligent temperature monitoring system based on an infrared thermometer, using the intelligent temperature monitoring method based on an infrared thermometer according to any one of claims 1 to 9, characterized in that: The system comprises: Infrared temperature measurement unit, used to obtain infrared radiation signals of target objects; A preprocessing unit connected to the infrared temperature measuring unit is used to preprocess the infrared radiation signal collected by the infrared temperature measuring unit to remove background noise; A parameter adjustment unit connected to the preprocessing unit and the infrared temperature measurement unit, used to adjust the parameters of the infrared temperature measurement unit in real time based on changes in ambient light intensity; A temperature calculation unit connected to the preprocessing unit, used to convert the preprocessed infrared radiation signal into a temperature value of the target object; The alarm unit connected to the temperature calculation unit is used to compare the temperature value calculated by the temperature calculation unit with a preset temperature threshold value and generate an alarm signal according to the comparison result.

Images