Infrared emission signal intensity measurement method, device, equipment and medium

Abstract

The invention relates to the technical field of signal measurement and analysis. The infrared emission signal intensity measurement method comprises the steps of obtaining target area image information according to measurement image information, obtaining target brightness information used for representing the brightness level of a target image area based on the target area image information and shooting parameter information, and obtaining the intensity of the infrared emission signal according to the target brightness information. Obtaining a normalized brightness value according to the target brightness information and the shooting parameter information, inputting the normalized brightness value into a preset calibration mapping model to obtain infrared emission signal intensity index information corresponding to the normalized brightness value, determining an infrared emission signal intensity grade determination result, and determining the infrared emission signal intensity grade according to the infrared emission signal intensity grade determination result. And generating measurement result information of the infrared emission device, and outputting the measurement result information on a display interface of the intelligent terminal. The method has the effect of realizing fine measurement and reliable judgment on the working state of the infrared emission device.

Description

Technical Field

[0001] This invention relates to the technical field of signal measurement and analysis, and in particular to a method, apparatus, device, and medium for measuring the intensity of infrared emitted signals. Background Technology

[0002] With the widespread adoption of smart devices, some applications attempt to use their cameras for auxiliary inspection of infrared emitters. For example, they might photograph the emitter and visually observe the screen for any bright spots to determine if the device is generally operational. However, such methods typically rely solely on subjective judgments of "presence" and "approximate brightness," failing to incorporate camera parameters or establish a standardized mapping. This makes it difficult to establish a stable dimensional correspondence between image brightness and infrared signal intensity, hindering quantitative measurement and cross-sectional comparison of infrared signal strength. Summary of the Invention

[0003] To achieve precise measurement and reliable assessment of the operating status of infrared emitting devices, this invention provides a method, apparatus, device, and medium for measuring infrared emission signal intensity.

[0004] The above-mentioned objective of this invention is achieved through the following technical solution: An infrared emission signal intensity measurement method, the infrared emission signal intensity measurement method comprising: Acquire measurement image information from the infrared emitting device captured by the camera of the smart terminal, as well as the corresponding shooting parameter information; Based on the measured image information, the target image area of ​​the infrared emitting device in the measured image information is determined, and the target area image information is obtained; Based on the target region image information and shooting parameter information, a brightness processing operation is performed to obtain target brightness information that characterizes the brightness level of the target image region. Based on the target brightness information and shooting parameter information, normalization processing is performed to obtain normalized brightness values; Input the normalized brightness value into the preset calibration mapping model to obtain the infrared emission signal intensity index information corresponding to the normalized brightness value; Based on the comparison between the infrared emission signal strength index information and the preset intensity level threshold information, the infrared emission signal strength level judgment result is determined. Based on the infrared emission signal strength level judgment result, the measurement result information of the infrared emitting device is generated and output on the display interface of the smart terminal.

[0005] By adopting the above technical solution, the measurement image information acquired by the smart terminal camera is combined with the shooting parameter information. After locking the target image area corresponding to the infrared emitting device, the brightness of the area is normalized. The normalized brightness value is then mapped to the infrared emission signal intensity index information through a preset calibration mapping model. This establishes a stable quantitative correspondence between the image performance of bright spots on the screen and the intensity of infrared emission signals, enabling comparable and consistent intensity measurement across different shooting conditions and smart terminals. Simultaneously, based on the comparison between the infrared emission signal intensity index information and the preset intensity level threshold information, the infrared emission signal intensity level judgment result is given and output as measurement result information on the smart terminal display interface. This allows operators to intuitively obtain the intensity level and quantitative value of the infrared emitting device while using a simple shooting method, thereby improving the objectivity and standardization of the infrared emitting device inspection process and avoiding the uncertainty caused by relying solely on subjective judgments of "whether there are bright spots" and "the approximate brightness" by the naked eye.

[0006] Preferably, the step of determining the target image region of the infrared emitting device in the measured image information based on the measured image information, and obtaining the target region image information, includes: Based on the preset position constraint of the infrared transmitter in the field of view of the smart terminal camera, candidate image regions containing the infrared transmitter are determined in the measured image information. The brightness values ​​of pixels within the candidate image region are compared with a preset brightness threshold. The connected regions formed by pixels whose brightness values ​​are greater than the preset brightness threshold are determined as the target image region, and the image information corresponding to the target image region is used as the target region image information.

[0007] By adopting the above technical solution, the infrared emitting device can be constrained by a preset position in the field of view of the smart terminal camera. The range of the area to be detected can be directly defined in the measured image information. On this basis, the target image area composed of high-brightness pixels can be automatically filtered out by comparing brightness thresholds and determining connected regions. The image information corresponding to this area is used as the target area image information. This makes the positioning process of the infrared emitting device independent of manual selection or full-image traversal search, reducing the interference of background stray light, screen reflection and other irrelevant areas on subsequent processing. Under the dual constraints of position constraint and brightness connectivity, the brightness concentration area corresponding to the infrared emitting device is stably obtained, providing a clear and semantically explicit input data foundation for subsequent brightness processing, normalization calculation and intensity calibration.

[0008] Preferably, the step of performing brightness processing operations based on target region image information and shooting parameter information to obtain target brightness information for characterizing the brightness level of the target image region includes: Extract the grayscale values ​​of each pixel within the target image region from the target image information; Perform a preset statistical operation on the grayscale values ​​to obtain initial brightness information that characterizes the overall brightness of the target image region; Based on the exposure time and gain parameters in the shooting parameter information, the initial brightness information is subjected to exposure normalization calculation to obtain a brightness value that is independent of exposure time and gain. Based on the shooting parameter information, determine whether the exposure time parameter and gain parameter fall within the preset exposure parameter target range. If the exposure time parameter and gain parameter fall within the preset exposure parameter target range, then the brightness value that is unrelated to the exposure time and gain will be used as the target brightness information.

[0009] By employing the above technical solution, the grayscale values ​​of each pixel within the target image region are extracted from the target image information, and preset statistical operations are performed. This allows for the aggregation of the overall brightness of the target image region at a uniform grayscale scale, yielding initial brightness information. Based on this initial brightness information, exposure normalization is performed using the exposure time and gain parameters from the shooting parameters. This separates the brightness amplification or compression factors introduced by changes in the exposure time and gain parameters during the imaging process from the initial brightness information, resulting in brightness values ​​independent of exposure time and gain. Furthermore, the shooting parameters are used to determine whether the exposure time and gain parameters fall within the preset exposure parameter target range. Only when the exposure time and gain parameters are within a reasonable working range are the brightness values ​​independent of exposure time and gain used as target brightness information. This ensures that the brightness data used in subsequent normalized brightness value calibration and infrared emission signal intensity calculation possesses both statistical representativeness of the actual image brightness and avoids interference from abnormal exposure configurations. Consequently, comparable and stable target brightness information is obtained under different shooting conditions and different equipment configurations, supporting the accuracy and consistency of subsequent infrared emission signal intensity index information calculations.

[0010] Preferably, the step of inputting the normalized brightness value into a preset calibration mapping model to obtain infrared emission signal intensity index information corresponding to the normalized brightness value includes: Read multiple preset normalized brightness values ​​and preset infrared emission signal strength index information corresponding to each preset normalized brightness value from the calibration mapping model; Based on the numerical relationship between the normalized brightness value and each preset normalized brightness value, the target calibration interval where the normalized brightness value is located is determined, and the preset normalized brightness values ​​at both ends of the target calibration interval and the corresponding preset infrared emission signal intensity index information are used as target calibration information. Based on the target calibration information, interpolation and nonlinear function operations are performed to obtain the initial infrared emission signal intensity index information corresponding to the normalized brightness value. Based on the difference between the normalized brightness value and the initial infrared emission signal intensity index, the initial infrared emission signal intensity index is corrected to obtain the infrared emission signal intensity index.

[0011] By adopting the above technical solution, multiple preset normalized brightness values ​​and corresponding preset infrared emission signal intensity index information are read from the calibration mapping model. Interpolation operations are performed and nonlinear function operations are superimposed within the target calibration interval where the normalized brightness value falls. This establishes a continuous mapping relationship between the normalized brightness value and the infrared emission signal intensity index information, which is extended from discrete calibration points, across the entire brightness range. This can take into account the response differences in different brightness ranges, such as weak signal areas, normal operating areas, and near-saturation areas. At the same time, a correction process based on the difference between the normalized brightness value and the initial infrared emission signal intensity index information is introduced. The difference information is quantified as the basis for correction, and the initial infrared emission signal intensity index information is adaptively adjusted. On the one hand, this compensates for residual fitting errors and nonlinear mismatches during the calibration process. On the other hand, it reduces the impact of factors such as sensor aging and camera response drift on the intensity calculation results. This ensures that the final infrared emission signal intensity index information maintains higher consistency and accuracy under different devices, times, and shooting conditions, thereby achieving reliable quantitative measurement and comparable evaluation of infrared emission signal intensity.

[0012] Preferably, the step of correcting the initial infrared emission signal intensity information based on the difference between the normalized brightness value and the initial infrared emission signal intensity index information to obtain the infrared emission signal intensity index information includes: Based on the difference information, numerical information is obtained to characterize the degree of deviation between the normalized brightness value and the initial infrared emission signal intensity index. The difference threshold information in the preset difference threshold information set is compared with the difference numerical information to obtain the comparison result. Based on the comparison result, the target correction coefficient information corresponding to the difference numerical information is determined. The infrared emission signal strength index is calculated based on the preset functional relationship between the initial infrared emission signal strength index, the difference value information, and the target correction coefficient information.

[0013] By adopting the above technical solution, difference numerical information is obtained based on the difference information to characterize the deviation between the normalized brightness value and the initial infrared emission signal intensity index information. The difference numerical information is then compared with the difference threshold information in the preset difference threshold information set. Target correction coefficient information corresponding to the difference numerical information is selected within different difference intervals. Infrared emission signal intensity index information is then calculated based on the preset functional relationship between the initial infrared emission signal intensity index information, the difference numerical information, and the target correction coefficient information. This process no longer relies solely on a single interpolation result but combines the degree of deviation and graded correction coefficients to perform difference-sensitive fine correction on the initial infrared emission signal intensity index information. Even when there are different magnitudes of deviation between the normalized brightness value and the initial infrared emission signal intensity index information, the combination of graded correction and function correction reduces the impact of fitting errors and environmental fluctuations on the intensity calculation results. This makes the final infrared emission signal intensity index information more closely match the actual emission intensity variation characteristics and has better stability and consistency.

[0014] Preferably, determining the infrared emission signal strength level judgment result based on the comparison result between the infrared emission signal strength index information and the preset strength level threshold information includes: Obtain historical infrared emission signal strength information corresponding to the infrared emitting device; Based on historical infrared emission signal strength information, calculate the reference baseline strength information and intensity change trend information used to characterize the infrared emitting device; Based on the reference baseline intensity information and intensity change trend information, the preset intensity level threshold information is adjusted to obtain the target intensity level threshold information; The infrared emission signal intensity level is determined based on the comparison between the infrared emission signal intensity index information and the target intensity level threshold information.

[0015] By adopting the above technical solution, historical infrared emission signal strength index information formed by multiple measurements is first obtained for the same infrared emitting device. Based on this, reference baseline strength information reflecting the long-term intensity level and intensity change trend information depicting the trend over time are calculated. Then, the preset intensity level threshold information is shifted or scaled according to the reference baseline strength information and intensity change trend information to generate target intensity level threshold information that matches the current device status and long-term attenuation characteristics. Based on this, the current infrared emission signal strength index information is mapped to the infrared emission signal strength level judgment result. This makes the intensity level classification no longer limited to a fixed threshold, but can adaptively adjust with changes in device output level and intensity evolution trend. This avoids the judgment distortion caused by using the initial threshold after the same device ages, changes in environment, or changes in installation location. Thus, it achieves a more realistic and continuous level judgment of the infrared emitting device's working status in the time dimension.

[0016] Preferably, the step of generating measurement result information of the infrared emitting device based on the infrared emission signal intensity level determination result includes: Based on the correspondence between the infrared emission signal intensity level determination results and the preset intensity level description information, the measurement conclusion information used to characterize the working status of the infrared emitting device is determined. Based on the measurement conclusion information and the infrared emission signal strength index information, generate result content information that includes both the measurement conclusion information and the infrared emission signal strength index information; Based on the preset result display rules, the result content information is formatted to obtain the measurement result information of the infrared emitting device.

[0017] By adopting the above technical solution, the measurement conclusion information used to characterize the working status of the infrared emitting device is determined based on the correspondence between the infrared emission signal intensity level judgment result and the preset intensity level description information. This maps the numerical level result into an intuitive working status conclusion. On this basis, the measurement conclusion information and the infrared emission signal intensity index information are combined to generate result content information. This organizes the qualitative description and quantitative value of the same measurement in a unified structure. Furthermore, the result content information is formatted according to the preset result display rules to form measurement result information that adapts to the layout and display habits of the smart terminal display interface. This allows users to obtain clear working status conclusions and corresponding intensity index values ​​when viewing the measurement interface, enhancing the consistency and readability of the results presentation and facilitating quick understanding and comparison of the operating status of the infrared emitting device.

[0018] The second objective of this invention is achieved through the following technical solution: An infrared emission signal intensity measuring device, the infrared emission signal intensity measuring device comprising: The image acquisition module is used to acquire measurement image information from the infrared emitting device captured by the camera of the smart terminal, as well as the shooting parameter information corresponding to the measurement image information; The target area determination module is used to determine the target image area of ​​the infrared emitting device in the measured image information based on the measured image information, and obtain the target area image information; The brightness processing module is used to perform brightness processing operations based on the target area image information and shooting parameter information to obtain target brightness information that characterizes the brightness level of the target image area. The normalization processing module is used to perform normalization processing based on the target brightness information and the shooting parameter information to obtain the normalized brightness value; The intensity index calculation module is used to input the normalized brightness value into a preset calibration mapping model to obtain the infrared emission signal intensity index information corresponding to the normalized brightness value. The level determination and result output module is used to determine the infrared emission signal strength level determination result based on the comparison result between the infrared emission signal strength index information and the preset strength level threshold information, generate the measurement result information of the infrared emitting device based on the infrared emission signal strength level determination result, and output the measurement result information on the display interface of the smart terminal.

[0019] By adopting the above technical solution, the measurement image information acquired by the smart terminal camera is combined with the shooting parameter information. After locking the target image area corresponding to the infrared emitting device, the brightness of the area is normalized. The normalized brightness value is then mapped to the infrared emission signal intensity index information through a preset calibration mapping model. This establishes a stable quantitative correspondence between the image performance of bright spots on the screen and the intensity of infrared emission signals, enabling comparable and consistent intensity measurement across different shooting conditions and smart terminals. Simultaneously, based on the comparison between the infrared emission signal intensity index information and the preset intensity level threshold information, the infrared emission signal intensity level judgment result is given and output as measurement result information on the smart terminal display interface. This allows operators to intuitively obtain the intensity level and quantitative value of the infrared emitting device while using a simple shooting method, thereby improving the objectivity and standardization of the infrared emitting device inspection process and avoiding the uncertainty caused by relying solely on subjective judgments of "whether there are bright spots" and "the approximate brightness" by the naked eye.

[0020] In summary, the present invention has at least one of the following beneficial technical effects: 1. By utilizing the measurement image information acquired by the smart terminal camera and combining it with the shooting parameter information, after locking onto the target image area corresponding to the infrared emitting device, the brightness of this area is normalized. A preset calibration mapping model is then used to map the normalized brightness value to infrared emission signal intensity index information. This establishes a stable quantitative correspondence between the image representation of bright spots on the screen and the intensity of the infrared emission signal, enabling comparable and consistent intensity measurements across different shooting conditions and smart terminals. Simultaneously, based on the comparison between the infrared emission signal intensity index information and the preset intensity level threshold information, the infrared emission signal intensity level judgment result is given and output as measurement result information on the smart terminal display interface. This allows operators to intuitively obtain the intensity level and quantitative value of the infrared emitting device using simple shooting methods, thereby improving the objectivity and standardization of the infrared emitting device inspection process and avoiding the uncertainty caused by relying solely on subjective judgments of "whether there are bright spots" and "approximate brightness" by the naked eye. Attached Figure Description

[0021] Figure 1 This is a flowchart of an infrared emission signal intensity measurement method according to an embodiment of the present invention.

[0022] Figure 2 This is a flowchart illustrating the implementation of step S20 in an infrared emission signal intensity measurement method according to an embodiment of the present invention. Figure 3 This is a flowchart illustrating the implementation of step S30 in an infrared emission signal intensity measurement method according to an embodiment of the present invention. Figure 4 This is a schematic diagram of an infrared emission signal intensity measuring device according to an embodiment of the present invention. Detailed Implementation

[0023] The present invention will be further described in detail below with reference to the accompanying drawings.

[0024] In one embodiment, such as Figure 1 As shown, this invention discloses a method for measuring the intensity of infrared emitted signals, which specifically includes the following steps: S10: Acquire measurement image information from the infrared emitting device captured by the camera of the smart terminal, as well as shooting parameter information corresponding to the measurement image information.

[0025] In this embodiment, a smart terminal refers to an electronic device that has image acquisition capabilities and can run an infrared emission signal intensity measurement program. A camera refers to an imaging component installed on the smart terminal for acquiring image information containing infrared emitting device information. An infrared emitting device refers to an electronic device that can emit infrared signals when in operation. The measured image information refers to digital image data containing infrared emitting device image content acquired by the camera during the execution of the infrared emission signal intensity measurement program and represented according to a preset resolution and encoding format. The shooting parameter information refers to a set of parameters used to describe the imaging state when the camera acquires the measured image information. The shooting parameter information includes parameters for describing the exposure state, parameters for describing the photosensitivity, and parameters for describing the focusing method.

[0026] Specifically, firstly, the infrared emission signal strength measurement program is launched on the smart terminal. The interface prompts the user to point the infrared transmitter towards the side of the camera and adjust the relative position between the infrared transmitter and the camera. The preset distance relationship refers to a distance range predetermined based on the camera's field of view and the infrared transmitter's dimensions. Following the interface prompts, the user places the infrared transmitter within the preset distance range and keeps it relatively stable. After the user confirms the preparation is complete, the camera control interface is called to set the image resolution and frame rate parameters used for measurement, and the camera is triggered to begin acquiring raw image data streams containing images from the infrared transmitter. During the data streaming process, one or more image frames are extracted from the original image data stream at preset time intervals. Each image frame contains pixel data arranged in row and column order. By sequentially reading the brightness and color components of the pixel data, the image frames are organized into digital image files that conform to a preset storage format. The organized digital image files are saved as measurement image information. At the same time, during the image acquisition process controlled by the camera, the currently used exposure time parameters, photosensitivity parameters, and focus mode parameters are obtained through the camera configuration query interface. The exposure time parameters, photosensitivity parameters, and focus mode parameters are combined into shooting parameter information according to the correspondence between parameter names and parameter values.

[0027] S20: Based on the measured image information, determine the target image area of ​​the infrared emitting device in the measured image information, and obtain the target area image information.

[0028] In this embodiment, the target image region refers to the pixel set region in the measurement image information that corresponds to the imaging position of the infrared emitting device, and the target region image information refers to the image data extracted from the measurement image information that contains only the pixel data of the target image region.

[0029] Specifically, a pixel coordinate grid is established based on the resolution of the measured image information. The pixel coordinate grid refers to a set of indices that assign row and column numbers to each pixel in the measured image information. After establishing the pixel coordinate grid, the pixels in the measured image information are traversed row by row and column by column. During the traversal, the brightness value is calculated based on the color components of each pixel. The brightness value calculation is achieved by linearly combining the red, green, and blue components according to preset weighting coefficients. Simultaneously, during the traversal, the brightness value of the current pixel is compared with the recorded maximum brightness value. When the current pixel brightness value is greater than the recorded maximum brightness value, the maximum brightness value is updated, and the pixel coordinate information of the current pixel is recorded. Pixel coordinate information refers to... The index data represents the row and column positions of a pixel in the pixel coordinate grid. After completing one traversal of the measured image information, the pixel coordinate information of the pixel with the largest brightness value is obtained. Then, taking the pixel coordinate information corresponding to the pixel with the largest brightness value as the center, a continuous pixel area around the pixel with the largest brightness value is selected as the target image area according to the preset row offset range and column offset range. The preset row offset range and column offset range refer to the number of rows and columns extended upward and downward and left and right based on the row and column where the pixel with the largest brightness value is located. New image data is generated by extracting the pixel data corresponding to the target image area from the measured image information, and the generated new image data is used as the target area image information.

[0030] S30: Based on the target area image information and shooting parameter information, perform brightness processing operations to obtain target brightness information used to characterize the brightness level of the target image area.

[0031] In this embodiment, target brightness information refers to data information used to characterize the overall brightness level of the target image area based on the statistical analysis of pixel brightness values ​​within the target image area. Brightness processing operation refers to the process of reading, calculating, and statistically organizing the pixel brightness values ​​within the target image area using the target area image information and shooting parameter information.

[0032] Specifically, pixel matrix data arranged in row and column order is read from the target area image information. For each pixel in the pixel matrix data, the values ​​of the red, green, and blue components are sequentially parsed. A preset brightness calculation formula is used to weight the color components of each pixel to obtain the pixel brightness value. This preset brightness calculation formula is a linear combination of multiplying the red component by a first weighting coefficient, the green component by a second weighting coefficient, and the blue component by a third weighting coefficient, and then adding the products, with the sum of the first, second, and third weighting coefficients being one. After obtaining the brightness values ​​of all pixels within the target image area, the pixel brightness values ​​are sorted in ascending order and then calculated according to a preset ratio. For example, the brightness values ​​of pixels falling within the minimum and maximum ranges are removed from both ends of the sorting results to obtain the set of brightness values ​​of the remaining pixels. At the same time, the exposure time parameters and photosensitivity parameters used in the measurement process are read from the shooting parameter information. The exposure time parameters and photosensitivity parameters are associated with the set of brightness values ​​of the remaining pixels one by one to maintain the correspondence between the brightness statistics and shooting conditions in subsequent calculations. Then, a statistical operation is performed on the set of brightness values ​​of the remaining pixels. The statistical operation is performed by adding all the brightness values ​​of the remaining pixels and dividing by the number of remaining pixels to obtain the average brightness value of the target image area. The average brightness value is combined with the corresponding exposure time parameters and photosensitivity parameters to form the target brightness information.

[0033] S40: Based on the target brightness information and shooting parameter information, perform normalization processing to obtain the normalized brightness value.

[0034] In this embodiment, normalization processing refers to the process of performing numerical transformation on the brightness values ​​contained in the target brightness information based on the target brightness information and the shooting parameter information. By combining the brightness values ​​with the exposure-related parameters contained in the shooting parameter information according to a preset mathematical relationship, the processed brightness values ​​no longer directly correspond to the original shooting conditions but correspond to a unified brightness expression form. The normalized brightness value refers to the brightness value obtained after normalization processing and used in subsequent processing steps. The normalization coefficient information refers to the coefficient data used to perform scaling operations on the target brightness information based on the exposure time parameters and photosensitivity parameters contained in the shooting parameter information.

[0035] Specifically, in the step of performing normalization processing based on target brightness information and shooting parameter information to obtain a normalized brightness value, firstly, a brightness value representing the overall brightness level of the target image area is read from the target brightness information. This brightness value is represented as a floating-point number. Then, the exposure time parameter and photosensitivity parameter corresponding to the captured target area image information are read from the shooting parameter information. The exposure time parameter is represented as a time length value, and the photosensitivity parameter is represented as a dimensionless gain level value. After obtaining the brightness value, exposure time parameter, and photosensitivity parameter, the exposure time parameter and photosensitivity parameter are multiplied to obtain an estimated exposure value. This estimated exposure value is used to represent... This method displays the relative magnitude of light energy received per unit pixel under the current shooting conditions. Then, the reciprocal of the exposure estimate is taken to obtain the normalization coefficient in the normalization coefficient information. The brightness value is multiplied by the normalization coefficient to obtain a new brightness value, which is the normalized brightness value. During the calculation process, floating-point arithmetic format is used to maintain the calculation accuracy of the normalization coefficient and brightness value. After the multiplication operation is completed, the normalized brightness value is truncated or rounded according to a preset value range, so that the normalized brightness value is stored in the form of a predetermined data type and value range. This completes the process of performing normalization processing based on target brightness information and shooting parameter information to obtain the normalized brightness value.

[0036] S50: Input the normalized brightness value into the preset calibration mapping model to obtain the infrared emission signal intensity index information corresponding to the normalized brightness value.

[0037] In this embodiment, the calibration mapping model refers to a mathematical model stored in the storage space before the infrared emission signal intensity measurement method is executed. This model is used to characterize the correspondence between normalized brightness values ​​and infrared emission signal intensity index information. The calibration mapping model is described by a set of model parameter information, which includes function type information used to identify the function type used in the mapping relationship and parameter value information corresponding to the function type information. The model input information refers to the normalized brightness value data input into the calibration mapping model for participating in the calculation. The model output information refers to the infrared emission signal intensity index information calculated by the calibration mapping model based on the model input information and the model parameter information.

[0038] Specifically, the normalized brightness value corresponding to the current step is read from the storage space. This value is then organized into model input information according to a preset data format, which represents the normalized brightness value as a single scalar or a one-dimensional vector. Next, model parameter information associated with the calibration mapping model is read from the storage space. This parameter information includes function type information and parameter value information. The function type information indicates whether subsequent calculations will use a linear function, piecewise linear function, or nonlinear function. The parameter value information stores coefficients describing the shape of the function curve in an array. After obtaining the model input information and model parameter information, the corresponding calculation process is selected based on the function type information. If the function type information indicates a linear function, the model input information and linear coefficients are then processed... The intermediate result value is obtained by performing multiplication and adding a linear bias coefficient. If the function type information indicates a piecewise linear function, the two adjacent endpoint parameters corresponding to the numerical interval of the model input information are found in the parameter value information according to the model input information. The two endpoint parameters are linearly combined in a proportional weighting manner to obtain the intermediate result value. If the function type information indicates a nonlinear function, the polynomial function value is calculated by term-by-term exponentiation and accumulation according to the polynomial order and coefficients given in the parameter value information, or the exponential function value is calculated according to the exponential function parameters given in the parameter value information as the intermediate result value. After obtaining the intermediate result value, the intermediate result value is truncated or scaled according to the preset unit and numerical range, and the processed value is output as the infrared emission signal intensity index information.

[0039] S60: Based on the comparison between the infrared emission signal strength index information and the preset strength level threshold information, determine the infrared emission signal strength level judgment result, generate the measurement result information of the infrared emitting device based on the infrared emission signal strength level judgment result, and output the measurement result information on the display interface of the smart terminal.

[0040] In this embodiment, the preset intensity level threshold information refers to multiple numerical thresholds that are pre-set and stored in the storage space according to the application scenario of the infrared emitting device. Each numerical threshold is used to define a boundary point for the intensity of the infrared emitted signal. The multiple numerical thresholds are arranged in order of numerical size to form an intensity level division interval. The infrared emitted signal intensity level determination result refers to the identification information used to represent the intensity level of the infrared emitted signal, determined according to the comparison relationship between the infrared emitted signal intensity index information and the preset intensity level threshold information. The identification information can represent different intensity levels in the form of digital code, text description, or a combination of both. The measurement result information refers to the structured data generated after the infrared emitted signal intensity level determination is completed, which records the infrared emitted signal intensity index information and the infrared emitted signal intensity level determination result. The structured data includes the infrared emitted signal intensity index information value, the infrared emitted signal intensity level determination result identifier, and the text description corresponding to the infrared emitted signal intensity level determination result. The display interface refers to the interface area on the smart terminal screen used to present the measurement result information.

[0041] Specifically, the infrared emission signal intensity index information corresponding to the current measurement is read from the storage space and represented as a floating-point number. Simultaneously, preset intensity level threshold information associated with the current measurement mode is read from the storage space. The thresholds in the preset intensity level threshold information are arranged in ascending order to form an intensity threshold sequence. After obtaining the infrared emission signal intensity index information and the intensity threshold sequence, each intensity threshold in the intensity threshold sequence is selected sequentially from first to last according to its number and compared with the infrared emission signal intensity index information. When the comparison result satisfies that the infrared emission signal intensity index information is less than or equal to the current intensity threshold, the index of the current intensity threshold in the intensity threshold sequence is used as the intensity level code, and the text description corresponding to the intensity level code is used as the intensity level description information. The intensity level code and the intensity level description information are combined to constitute the infrared emission signal intensity level determination result. When the infrared emission signal intensity index information is greater than all intensity thresholds in the intensity threshold sequence, the last one in the intensity threshold sequence is... The highest level code and highest level description information corresponding to the intensity threshold are used as the infrared emission signal intensity level determination result. After determining the infrared emission signal intensity level determination result, a measurement result information data structure is constructed. The measurement result information data structure is set with fields for recording the infrared emission signal intensity index information value, fields for recording the intensity level code, and fields for recording the intensity level description information. The infrared emission signal intensity index information value, intensity level code, and intensity level description information are filled into the corresponding fields to form complete measurement result information. Then, the display interface for displaying the infrared emission signal intensity measurement result is switched on the smart terminal. The infrared emission signal intensity index information value in the measurement result information is converted into a string form with unit identifier, and the intensity level description information is converted into text content for prompting the user. The above string content is drawn in the corresponding area of ​​the display interface according to the preset layout position, so that the display interface presents the measurement result information containing the infrared emission signal intensity index information value and the infrared emission signal intensity level determination result.

[0042] In one embodiment, such as Figure 2 As shown, in step S20, that is, based on the measured image information, the target image area of ​​the infrared emitting device in the measured image information is determined, and the target area image information is obtained, including: S201: Based on the preset position constraint of the infrared emitting device in the field of view of the smart terminal camera, determine the candidate image region containing the infrared emitting device in the measured image information.

[0043] In this embodiment, the preset position constraint refers to the imaging position relationship of the infrared emitting device pre-set based on the field of view of the smart terminal camera. The preset position constraint is represented by a set of normalized coordinate parameters used to limit the range of values ​​in the row direction and column direction. The normalized coordinate parameters represent the relative row start position, relative row end position, relative column start position and relative column end position of the target area in the measured image information in decimal form between zero and one. The candidate image area refers to the rectangular pixel area in the measured image information that meets the preset position constraint. The rectangular pixel area is composed of all pixels located between the relative row start position and the relative row end position and between the relative column start position and the relative column end position.

[0044] Specifically, image resolution parameters are read from the measured image information. These parameters include row resolution values ​​representing the number of pixels in the vertical direction and column resolution values ​​representing the number of pixels in the horizontal direction. Then, preset position constraint parameters corresponding to the current measurement mode are read from the storage space. These preset position constraint parameters include relative row start position parameters, relative row end position parameters, relative column start position parameters, and relative column end position parameters. The relative row start position parameter is multiplied by the row resolution value, and the integer part of the product is taken to obtain the row start pixel index. Similarly, the relative row end position parameter is multiplied by the row resolution value, and the integer part of the product is taken to obtain the row end pixel index. The column start pixel index is obtained by multiplying the starting position parameter by the column resolution value and taking the integer part of the product. The column end pixel index is obtained by multiplying the relative column end position parameter by the column resolution value and taking the integer part of the product. Then, in the pixel matrix corresponding to the measured image information, all pixels whose row index is between the row start pixel index and the row end pixel index and whose column index is between the column start pixel index and the column end pixel index are selected to form a rectangular area. The pixel data corresponding to the rectangular area is regarded as a candidate image area containing the infrared emitting device. The row start pixel index, row end pixel index, column start pixel index and column end pixel index of the candidate image area are recorded in the storage space.

[0045] S202: Compare the brightness values ​​of pixels within the candidate image region with a preset brightness threshold, determine the connected region formed by pixels whose brightness values ​​are greater than the preset brightness threshold as the target image region, and use the image information corresponding to the target image region as the target region image information.

[0046] In this embodiment, the preset brightness threshold information refers to the brightness value boundary parameter that is pre-set before the target image region determination step and used to distinguish between the infrared emitting device pixels and the background pixels. The connected region refers to the set of pixels in the candidate image region whose brightness values ​​are greater than the preset brightness threshold information are connected on the pixel coordinate grid according to the connectivity rule. The connectivity rule refers to the rule that determines that two pixels belong to the same connected region when the relative positional relationship of two pixels in the row and column directions meets the preset conditions. The connectivity rule adopts the four-neighbor connectivity rule or the eight-neighbor connectivity rule. The four-neighbor connectivity rule means that there is a connectivity relationship between two pixels whose row index or column index differs by one and whose other index is the same. The eight-neighbor connectivity rule means that there is a connectivity relationship between two pixels whose row index and column index are both no greater than one.

[0047] Specifically, the brightness value of each pixel is read sequentially from the pixel matrix corresponding to the candidate image region, and compared with a preset brightness threshold. When the brightness value is greater than the preset brightness threshold, a first marker value is written to the element at the corresponding position in a marker matrix of the same size as the candidate image region. When the brightness value is less than or equal to the preset brightness threshold, a second marker value is written to the element at the corresponding position. After traversing all pixels in the candidate image region, a connected component search is performed according to the connectivity rules based on the position of the first marker value in the marker matrix. During the connected component search, each element of the marker matrix is ​​scanned sequentially. When an element has the first marker value and has not yet been assigned to any connected component, the pixel position corresponding to that element is taken as the starting position of the new connected component, and the coordinates of the starting position are written to the processing queue. A pixel coordinate is taken from the processing queue as the current processing pixel coordinate. The set of adjacent pixel coordinates of the current processing pixel coordinate in the pixel coordinate grid is determined according to the connectivity rules. The corresponding marker matrix elements in the set of adjacent pixel coordinates are then processed. The coordinates of unvisited pixels with the first marked value are sequentially added to the processing queue and recorded as member pixels of the current connected region. This process is repeated until the processing queue is empty. The set of all member pixel coordinates recorded in this loop is taken as the pixel set of a connected region, and a region number is assigned to this connected region. After scanning all elements of the marked matrix and searching all connected regions, the number of pixels contained in each connected region is compared. The pixel set of the connected region with the largest number of pixels is taken as the target image region. The row and column indices of all member pixels in the target image region are counted, and the minimum row index, maximum row index, minimum column index, and maximum column index are determined as the boundary indices of the target image region. Based on the boundary indices, pixel data within the corresponding row and column range is extracted from the measured image information to generate new image data. The new image data is used as the target region image information for subsequent processing. This completes the process of comparing the brightness values ​​of pixels in the candidate image region with the preset brightness threshold information, determining the target image region, and generating the target region image information.

[0048] In one embodiment, such as Figure 3 As shown, in step S30, based on the target area image information and the shooting parameter information, a brightness processing operation is performed to obtain target brightness information used to characterize the brightness level of the target image area, including: S301: Extract the grayscale values ​​of each pixel within the target image region from the target region image information.

[0049] In this embodiment, grayscale value refers to a single-channel value calculated based on the color component of each pixel in the target area image information according to a preset grayscale transformation relationship. The grayscale value is stored in integer form within a preset value range. The preset value range is set to 0 to 255 or 0 to 65,535 according to the encoding format of the target area image information, corresponding to an eight-bit unsigned integer or a sixteen-bit unsigned integer representing the grayscale level.

[0050] Specifically, the target region image information is restored into a pixel matrix corresponding to the size of the target image region. Each element in the pixel matrix represents the position and encoded data of a pixel. Before traversing the pixel matrix, the color encoding format marker of the target region image information is read. The color encoding format marker indicates whether the pixel data uses red-green-blue component encoding or gray-level component encoding. When the color encoding format marker indicates red-green-blue component encoding, the red component value, green component value, and blue component value are read sequentially for each pixel during the pixel matrix traversal. The red component value is multiplied by a first gray-level weight coefficient, the green component value is multiplied by a second gray-level weight coefficient, and the blue component value is multiplied by a third gray-level weight coefficient. The three products are added together to obtain the gray value of the corresponding pixel. The sum of the first grayscale weight coefficient, the second grayscale weight coefficient, and the third grayscale weight coefficient equals one. When the color encoding format marker indicates the grayscale component encoding method, the grayscale component value is directly read from the data field of each pixel as the grayscale value of that pixel during the traversal of the pixel matrix. After the calculation or reading of the grayscale value of a pixel is completed, the grayscale value is written to the matrix element at the same position in the grayscale matrix corresponding to the pixel matrix structure. The traversal of all elements of the pixel matrix and the writing of grayscale values ​​are completed in the order from the first row to the last row and from the first column to the last column. After the traversal is completed, a grayscale matrix with the same size as the target image region is obtained. Each element in the grayscale matrix stores the grayscale value of a pixel, thus completing the process of extracting the grayscale values ​​of each pixel in the target image region from the target image information.

[0051] S302: Perform a preset statistical operation on the grayscale value to obtain initial brightness information that characterizes the overall brightness of the target image region.

[0052] In this embodiment, the initial brightness information refers to the numerical data used to characterize the overall brightness level of the target image area, which is obtained by performing a preset statistical operation based on the gray values ​​of each pixel in the target image area. The preset statistical operation refers to the process of performing a summation operation on all gray values ​​after determining the range of pixels participating in the statistics and calculating the average gray value in combination with the pixel quantity information. The pixel quantity information refers to the count value corresponding to the number of pixels participating in the statistics.

[0053] Specifically, first, the grayscale matrix corresponding to the target image region is obtained. Each matrix element in the grayscale matrix corresponds to the grayscale value of a pixel within the target image region. For statistical calculations, an accumulation variable for accumulating grayscale values ​​and a count variable for recording pixel count information are pre-set. The initial values ​​of both the accumulation variable and the count variable are set to zero. Then, the grayscale matrix is ​​traversed from the first row to the last row according to the row index, and within each row, from the first column to the last column according to the column index. For each matrix element, a read operation is performed to obtain the grayscale value of the current pixel. The current grayscale value is then added to the current value of the accumulation variable. The result of the calculation is reassigned to the accumulator variable. At the same time, the current value of the counter variable is added to the counter variable, and the result is reassigned to the counter variable. This process is repeated until all matrix elements in the grayscale matrix have been traversed. At the end of the traversal, the accumulator variable stores the sum of the grayscale values ​​of all pixels involved in the statistics, and the counter variable stores the number of pixels involved in the statistics. Then, a division operation is performed using the sum in the accumulator variable as the dividend and the number of pixels in the counter variable as the divisor. The division operation uses a floating-point arithmetic format to maintain the numerical precision in the calculation process. The quotient is used as the numerical representation of the initial brightness information.

[0054] S303: Based on the exposure time and gain parameters in the shooting parameter information, perform exposure normalization calculation on the initial brightness information to obtain a brightness value that is independent of exposure time and gain.

[0055] In this embodiment, exposure normalization refers to constructing a numerical transformation relationship for adjusting the initial brightness information using the exposure time parameter and gain parameter in the shooting parameter information.

[0056] Specifically, the brightness value representing the overall brightness of the target image area is read from the initial brightness information and expressed as a floating-point number. Then, the exposure time parameter and gain parameter are read from the shooting parameter information. The exposure time parameter is expressed as a time length value, and the gain parameter is expressed as a dimensionless amplification factor value. After obtaining the brightness value, exposure time parameter, and gain parameter, the exposure time parameter and gain parameter are multiplied according to a preset calculation rule to obtain an exposure estimate. The exposure estimate is used to characterize the overall amplification of light energy during the shooting process in subsequent calculations. When combining the exposure estimate with the brightness value, the brightness value is used as the basis for calculation. The value is used as the dividend, and the estimated exposure value is used as the divisor to perform a division operation. The quotient is used as the normalized intermediate brightness value. If the estimated exposure value is close to zero, the estimated exposure value is adjusted to the preset minimum non-zero value to avoid illegal values ​​in the division operation. The normalized intermediate brightness value is cropped according to the preset value range. When the normalized intermediate brightness value is less than the preset lower limit, the normalized intermediate brightness value is set to the preset lower limit. When the normalized intermediate brightness value is greater than the preset upper limit, the normalized intermediate brightness value is set to the preset upper limit. The cropped normalized intermediate brightness value is used as the brightness value that is independent of exposure time and gain.

[0057] S304: Determine whether the exposure time parameter and gain parameter fall within the preset exposure parameter target range based on the shooting parameter information. If the exposure time parameter and gain parameter fall within the preset exposure parameter target range, then the brightness value that is unrelated to the exposure time and gain will be used as the target brightness information.

[0058] In this embodiment, the preset exposure parameter target range refers to the set of parameters used to limit the value range of the exposure time parameter and the gain parameter. The preset exposure parameter target range includes the lower limit threshold of exposure time, the upper limit threshold of exposure time, the lower limit threshold of gain, and the upper limit threshold of gain. The lower limit threshold of exposure time and the upper limit threshold of exposure time are used to limit the time length range of the exposure time parameter, and the lower limit threshold of gain and the upper limit threshold of gain are used to limit the magnification range of the gain parameter.

[0059] Specifically, the exposure time parameter and gain parameter are read from the shooting parameter information. The exposure time parameter is represented as a time length value, and the gain parameter is represented as a magnification value. Then, the lower limit threshold, upper limit threshold, lower limit threshold, and upper limit threshold of the exposure time corresponding to the current measurement mode are read from the storage space. Subsequently, a comparison condition for the exposure time parameter is established. The exposure time parameter is compared with the lower limit threshold. When the exposure time parameter is greater than or equal to the lower limit threshold, the first comparison result is recorded as successful. Then, the exposure time parameter is compared with the upper limit threshold. When the exposure time parameter is less than or equal to the upper limit threshold, the second comparison result is recorded as successful. Next, a comparison condition for the gain parameter is established. The gain parameter is compared with the lower limit threshold. When the gain parameter is greater than or equal to the lower limit threshold, the third comparison result is recorded as successful. The gain parameter is compared with the upper limit threshold of the gain. When the gain parameter is less than or equal to the upper limit threshold of the gain, the fourth comparison result is recorded as valid. After obtaining four comparison results, it is determined whether all four comparison results are valid. When all four comparison results are valid, it is considered that the exposure time parameter and the gain parameter fall into the preset exposure parameter target range at the same time. In this case, the brightness value, which is independent of the exposure time and gain, is directly assigned to the target brightness information for subsequent processing. When any comparison result is invalid, it is considered that the exposure time parameter and the gain parameter do not fall into the preset exposure parameter target range at the same time. In this case, the target brightness information is not updated or is marked separately according to the preset rules. This completes the process of determining whether the exposure time parameter and the gain parameter fall into the preset exposure parameter target range based on the shooting parameter information and using the brightness value, which is independent of the exposure time and gain, as the target brightness information when the conditions are met.

[0060] In one embodiment, in step S50, the normalized brightness value is input into a preset calibration mapping model to obtain infrared emission signal intensity index information corresponding to the normalized brightness value, including: S501: Read multiple preset normalized brightness values ​​and preset infrared emission signal strength index information corresponding to each preset normalized brightness value from the calibration mapping model.

[0061] In this embodiment, the preset normalized brightness value refers to the set of discrete normalized brightness values ​​that are predetermined and stored in the calibration mapping model setting process to represent different brightness levels. The preset infrared emission signal strength index information refers to the set of infrared emission signal strength index values ​​that correspond one-to-one with each preset normalized brightness value. The set of preset normalized brightness values ​​and the set of preset infrared emission signal strength index information are arranged in a unified index order to form a calibration data pair sequence in the calibration mapping model.

[0062] Specifically, the calibration data region is located in the storage space according to the storage identifier of the calibration mapping model. The calibration data region sequentially stores a sequence of preset normalized brightness values ​​and a sequence of preset infrared emission signal intensity information. The number of elements in the calibration data pair sequence is determined by reading the starting address and length information of the calibration data region. After determining the number of elements, a loop counter variable is set and its initial value is set to zero. In one loop, the offset position of the preset normalized brightness value in the calibration data region is calculated based on the current value of the loop counter variable. The offset position is added to the starting address information to obtain the actual read address of the preset normalized brightness value. A preset normalized brightness value is read from the actual read address and written to the preset normalized brightness value buffer. Simultaneously, according to the phase... The same loop counter variable calculates the offset position of the preset infrared emission signal strength index information in the calibration data area. A preset infrared emission signal strength index information is read from the corresponding offset position and written into the preset infrared emission signal strength index information buffer. The loop counter variable is added to one and the result is used as the new loop counter variable value. When the new loop counter variable value is less than the number of elements, the next loop continues. When the new loop counter variable value is equal to the number of elements, the loop terminates. After the loop ends, the preset normalized brightness value buffer stores multiple preset normalized brightness values ​​in index order, and the preset infrared emission signal strength index information buffer stores the preset infrared emission signal strength index information corresponding to each preset normalized brightness value in the same index order.

[0063] S502: Based on the numerical relationship between the normalized brightness value and each preset normalized brightness value, determine the target calibration interval where the normalized brightness value is located, and use the preset normalized brightness values ​​at both ends of the target calibration interval and the corresponding preset infrared emission signal intensity index information as target calibration information.

[0064] In this embodiment, the target calibration interval refers to an interval that matches the numerical range of the normalized brightness value among the adjacent numerical intervals formed by multiple preset normalized brightness values ​​arranged in numerical order. The target calibration information refers to the combination data of the preset normalized brightness values ​​corresponding to both ends of the target calibration interval and the preset infrared emission signal strength index information that corresponds one-to-one with the preset normalized brightness values ​​at both ends.

[0065] Specifically, multiple preset normalized brightness values ​​are sorted in ascending order to obtain a preset normalized brightness value sequence. Each element in the preset normalized brightness value sequence has a unique index position. Simultaneously, preset infrared emission signal intensity index information corresponding one-to-one with the preset normalized brightness values ​​is arranged in the same index order. After obtaining the preset normalized brightness value sequence, the values ​​of the normalized brightness values ​​are read, and each normalized brightness value is compared pairwise with the elements in the preset normalized brightness value sequence. During the comparison, two adjacent preset normalized brightness values ​​in the sequence are selected as a set of intervals. The smaller preset normalized brightness value is recorded as the left preset normalized brightness value, and the larger preset normalized brightness value is recorded as the right preset normalized brightness value. It is determined whether the normalized brightness value satisfies the condition of being greater than or equal to the left preset normalized brightness value and less than or equal to the right preset normalized brightness value. When a set of interval endpoints satisfies the above condition, the numerical interval formed by the left and right preset normalized brightness values ​​is determined as the target calibration interval. Then, based on the left and right preset normalized brightness values ​​in the preset infrared emission signal strength index information sequence... The corresponding two preset infrared emission signal intensity indexes are read from the index positions in the preset normalized brightness value sequence. The left-end preset normalized brightness value, the right-end preset normalized brightness value, and the two preset infrared emission signal intensity indexes are combined to form target calibration information. When the normalized brightness value is less than the minimum preset normalized brightness value in the preset normalized brightness value sequence, the minimum preset normalized brightness value and the adjacent preset normalized brightness value after the minimum preset normalized brightness value are selected as the target calibration interval. The target calibration interval is then determined from the preset infrared emission signal intensity index. The preset infrared emission signal intensity index information corresponding to the two preset normalized brightness values ​​is read from the index information sequence as target calibration information. When the normalized brightness value is greater than the maximum preset normalized brightness value in the preset normalized brightness value sequence, the interval formed by the adjacent preset normalized brightness value before the maximum preset normalized brightness value in the preset normalized brightness value sequence and the maximum preset normalized brightness value is selected as the target calibration interval. The preset infrared emission signal intensity index information corresponding to the two preset normalized brightness values ​​is read from the preset infrared emission signal intensity index information sequence as target calibration information.

[0066] S503: Based on the target calibration information, perform interpolation and nonlinear function operations to obtain the initial infrared emission signal intensity index information corresponding to the normalized brightness value.

[0067] In this embodiment, interpolation refers to a numerical calculation method based on the preset normalized brightness values ​​at both ends and the corresponding preset infrared emission signal intensity index information contained in the target calibration information. This method calculates the position ratio of the normalized brightness value between the preset normalized brightness values ​​at both ends and performs a weighted summation of the preset infrared emission signal intensity index information at both ends according to the position ratio. Nonlinear function calculation refers to a calculation method in which the intermediate infrared emission signal intensity index information obtained by interpolation is substituted into a preset nonlinear function expression to calculate the correction amount, and the correction amount is used to adjust the intermediate infrared emission signal intensity index information. The correction amount refers to the value output by the nonlinear function expression used to adjust the intermediate infrared emission signal intensity index information by addition or multiplication. The initial infrared emission signal intensity index information refers to the infrared emission signal intensity index value corresponding to the normalized brightness value obtained after completing the interpolation and nonlinear function calculations.

[0068] Specifically, in the step of performing interpolation and nonlinear function operations based on target calibration information to obtain the initial infrared emission signal intensity index information corresponding to the normalized brightness value, let the preset normalized brightness value on the left end of the target calibration information be denoted as L1, the preset normalized brightness value on the right end be denoted as L2, the preset infrared emission signal intensity index information corresponding to L1 and L2 be denoted as I1 and I2 respectively, and the normalized brightness value be denoted as Ln. First, the position scaling factor is calculated. The positional proportionality coefficient is calculated according to the following formula: After obtaining the position scaling factor, I1 and I2 are weighted using the position scaling factor to calculate the intermediate infrared emission signal strength index information. The weighted calculation is performed according to the following formula: Then, a preset nonlinear function expression is selected. The independent variable of the preset nonlinear function expression is the intermediate infrared emission signal intensity information, and the correction information is calculated. The calculation relationship is as follows: After obtaining the correction information, the correction information is numerically synthesized with the intermediate infrared emission signal intensity index information to calculate the initial infrared emission signal intensity index information. The numerical composition relationship is as follows: The result calculated according to the above formula This serves as the initial infrared emitted signal strength index information corresponding to the normalized brightness value.

[0069] S504: Based on the difference between the normalized brightness value and the initial infrared emission signal intensity index information, the initial infrared emission signal intensity index information is corrected to obtain the infrared emission signal intensity index information.

[0070] In this embodiment, the difference information refers to the numerical data obtained based on the normalized brightness value and the initial infrared emission signal intensity index information according to a preset difference calculation relationship. The preset difference calculation relationship is to calculate the difference between the initial infrared emission signal intensity index information and the normalized brightness value by converting the initial infrared emission signal intensity index information to the same numerical scale as the normalized brightness value through a preset scaling factor. The preset scaling factor is a non-zero constant coefficient preset according to the correspondence between the normalized brightness value range and the infrared emission signal intensity index information range during the calibration process. The preset difference threshold is a numerical boundary used to distinguish between the difference information being in an acceptable range and the range requiring correction. The correction coefficient is a dimensionless coefficient calculated based on the difference information and used to scale and adjust the initial infrared emission signal intensity index information. The preset correction gain coefficient is a constant parameter controlling the correction intensity. The reference brightness value is a preset nominal brightness value used to normalize the difference amplitude.

[0071] Specifically, the process involves obtaining the current normalized brightness value and the current initial infrared emission signal strength index value. The initial infrared emission signal strength index value is multiplied by a preset scaling factor to obtain an estimated brightness value corresponding to the initial infrared emission signal strength index value. The normalized brightness value is subtracted from the estimated brightness value to obtain a difference value. The absolute value of the difference value is taken to obtain the difference amplitude. The difference amplitude is compared with a preset difference threshold. When the difference amplitude is less than or equal to the preset difference threshold, the initial infrared emission signal strength index value is directly used as the infrared emission signal strength index value. When the difference amplitude is greater than the preset difference threshold, a correction coefficient is calculated based on the difference amplitude. The correction coefficient is calculated according to the rule that the correction coefficient equals one plus a preset correction gain coefficient multiplied by the ratio of the difference amplitude to the reference brightness value, and the direction of amplification or reduction is determined by combining the sign of the difference value. The initial infrared emission signal strength index value is multiplied by the correction coefficient to obtain the corrected intensity value, which is then used as the infrared emission signal strength index value.

[0072] In one embodiment, in step S504, the initial infrared emission signal intensity index information is corrected based on the difference between the normalized brightness value and the initial infrared emission signal intensity index information to obtain the infrared emission signal intensity index information, including: S5041: Based on the difference information, obtain the difference numerical information used to characterize the degree of deviation between the normalized brightness value and the initial infrared emission signal intensity index information.

[0073] In this embodiment, the difference numerical information refers to the scalar value obtained by calculating the difference data in the difference information according to the preset difference degree calculation rule, which is used to quantify the degree of deviation between the normalized brightness value and the initial infrared emission signal intensity index information. The preset difference degree calculation rule refers to the numerical processing rule that takes the absolute value or the square root of the difference in the difference information to remove the influence of the sign and retain the magnitude of the deviation.

[0074] Specifically, the difference data recorded in the difference information is first obtained. The difference data is represented in floating-point form and assigned to a temporary variable. During the difference calculation process, the sign of the temporary variable is first determined. When the temporary variable is greater than or equal to zero, the value of the temporary variable is directly used as the difference value information. When the temporary variable is less than zero, the temporary variable is multiplied by negative one to obtain a positive result and this positive result is used as the difference value information.

[0075] S5042: Compare the difference threshold information in the preset difference threshold information set with the difference numerical information to obtain the comparison result, and determine the target correction coefficient information corresponding to the difference numerical information based on the comparison result.

[0076] In this embodiment, the preset difference threshold information set refers to a set of difference threshold information arranged in numerical order. Each difference threshold information is used to define the boundary of the difference interval to which the difference value information belongs. The comparison result refers to the judgment conclusion record obtained after judging the size relationship between the difference value information and each difference threshold information in the preset difference threshold information set. The target correction coefficient information refers to a correction coefficient value selected from the preset correction coefficient division rules based on the comparison result and used to participate in subsequent correction calculations.

[0077] Specifically, firstly, the numerical value of the difference information is obtained and recorded as a real number variable. Then, multiple difference threshold information items arranged in ascending order from a preset difference threshold information set are obtained and sequentially recorded as the first difference threshold, the second difference threshold, up to the Nth difference threshold. Then, each difference threshold information item is selected sequentially and compared with the difference numerical information. When the difference numerical information is less than or equal to the first difference threshold, the interval to which the difference numerical information belongs is recorded as the first difference interval, and the comparison result is recorded as "the interval at or below the first difference threshold". When the difference numerical information is greater than the first difference threshold and less than or equal to the second difference threshold, the interval to which the difference numerical information belongs is recorded as the second difference interval, and the comparison result is recorded as "the interval between the first difference threshold and the second difference threshold". This process continues until the difference numerical information is greater than the Kth difference threshold and less than or equal to the (K+1)th difference threshold, the interval to which the difference numerical information belongs is recorded as the (K+1)th difference interval, and the comparison result is recorded as "the interval between the Kth difference threshold and the (K+1)th difference threshold". The interval is defined as follows: when the difference value is greater than the Nth difference threshold, the interval to which the difference value belongs is recorded as the interval exceeding the highest threshold, and the comparison result is recorded as "interval higher than the Nth difference threshold". After determining the difference interval to which the difference value belongs, according to the pre-set correction coefficient division rules, each difference interval is associated with a corresponding correction coefficient value. For example, the correction coefficient value corresponding to the first difference interval is recorded as the first correction coefficient, the correction coefficient value corresponding to the second difference interval is recorded as the second correction coefficient, the correction coefficient value corresponding to the K+1th difference interval is recorded as the K+1th correction coefficient, and the correction coefficient value corresponding to the interval higher than the Nth difference threshold is recorded as the N+1th correction coefficient. Based on the aforementioned comparison results, the correction coefficient value corresponding to the difference interval to which the difference value belongs is selected. The selected correction coefficient value is used as the target correction coefficient information for subsequent correction calculations on the initial infrared emission signal intensity index information. This completes the comparison of the difference threshold information and the difference value information in the preset difference threshold information set and the determination of the target correction coefficient information.

[0078] S5043: The infrared emission signal intensity information is calculated based on the preset functional relationship between the initial infrared emission signal intensity index information, the difference value information, and the target correction coefficient information.

[0079] In this embodiment, the preset functional relationship refers to a mathematical expression pre-selected during the method design stage, which takes the initial infrared emission signal intensity index information, the difference value information, and the target correction coefficient information as independent variables and the infrared emission signal intensity index information as the output result. The preset functional relationship adopts a linear combination form, and the infrared emission signal intensity index information value is obtained by performing addition and multiplication operations on the initial infrared emission signal intensity index information, the difference value information, and the target correction coefficient information.

[0080] Specifically, when performing the step of calculating the infrared emission signal intensity index information based on the preset functional relationship between the initial infrared emission signal intensity index information, the difference value information, and the target correction coefficient information, the value of the initial infrared emission signal intensity index information is denoted as... The numerical values ​​of the difference information are recorded as The numerical value of the target correction coefficient information is denoted as First of all and Performing multiplication yields the correction value. The correction value satisfies: Then to With correction value Performing the addition operation yields a new intensity value. The new intensity value satisfies After completing the above multiplication and addition operations, the new intensity value will be... Store according to the preset data format. As a numerical representation of infrared emission signal strength index information, the specific implementation process of calculating infrared emission signal strength index information based on the preset functional relationship between initial infrared emission signal strength index information, difference value information, and target correction coefficient information is completed.

[0081] In one embodiment, step S60, namely, determining the infrared emission signal strength level judgment result based on the comparison result between the infrared emission signal strength index information and the preset strength level threshold information, includes: S601: Obtain historical infrared emission signal strength information corresponding to the infrared emitting device.

[0082] In this embodiment, the historical infrared emission signal strength index information refers to the set of infrared emission signal strength index information recorded in chronological order for the same infrared emitting device when the infrared emission signal strength measurement method is executed multiple times. Each measurement corresponds to an infrared emission signal strength index information value, and multiple values ​​constitute a historical sequence. The storage structure refers to the set of logical storage units divided according to the infrared emitting device and used to store the historical sequences of each infrared emission signal strength index information. The index number refers to the number information pre-assigned in the measurement program to distinguish different infrared emitting devices. The historical record segment refers to the continuous storage area in the storage structure corresponding to a certain index number. The historical record buffer refers to the working storage area used to temporarily store the infrared emission signal strength index information values ​​read from the historical record segment when this step is executed.

[0083] Specifically, firstly, the index number corresponding to the current infrared emitting device is read according to the current measurement configuration. The index number is then used as a query condition to locate the historical record segment associated with that index number in the storage structure. The historical record segment stores the infrared emission signal strength index information values ​​obtained from previous measurements of the infrared emitting device in the order of writing. After determining the start and end positions of the historical record segment, the infrared emission signal strength index information values ​​are read sequentially from the start position according to the preset data width. Each time a value is read, it is written sequentially to the corresponding position in the historical record buffer. The number of records read is recorded by a counter variable. Reading stops when the counter variable reaches the preset maximum number of historical records or when the reading position reaches the end position of the historical record segment. At this time, a set of infrared emission signal strength index information values ​​stored sequentially in the historical record buffer serves as the historical infrared emission signal strength index information corresponding to the infrared emitting device.

[0084] S602: Based on historical infrared emission signal strength index information, calculate the reference baseline strength information and intensity change trend information used to characterize the infrared emitting device.

[0085] In this embodiment, the reference baseline intensity information refers to the numerical parameter used to represent the overall intensity level of the infrared emitting device at multiple measurement times, calculated based on historical infrared emission signal intensity index information according to preset statistical rules. The intensity change trend information refers to the numerical parameter used to represent the direction and magnitude of the change in the intensity of the infrared emitting device over time, calculated based on the time sequence relationship of historical infrared emission signal intensity index information. The preset statistical rules include rules for performing summation and averaging operations on historical infrared emission signal intensity index information, as well as rules for performing first and last difference operations and normalization operations on historical infrared emission signal intensity index information.

[0086] Specifically, historical infrared emission signal intensity information is arranged in chronological order of measurement to form an intensity sequence. Each intensity value in the sequence is sequentially denoted as I1, I2, ..., IN, where N is the number of historical records. An accumulation variable is set to accumulate intensity values, and a count variable is set to record the entries involved in the calculation. Both the accumulation and count variables are initialized to zero. Then, each intensity value is read sequentially from I1 to IN. The current intensity value is added to the current value of the accumulation variable, and the result is reassigned to the accumulation variable. Simultaneously, the current value of the count variable is added to one, and the result is reassigned to the count variable. After all intensity values ​​have been traversed, the accumulation variable stores the sum of all historical infrared emission signal intensity information, and the count variable stores the number of intensity values ​​involved in the calculation. A division operation is performed using the sum in the accumulation variable as the dividend and the value in the count variable as the divisor. The resulting quotient is used as the numerical representation of the reference baseline intensity information. When calculating the intensity change trend information, the starting intensity value I1 is selected from the intensity sequence. The intensity change difference information is obtained by subtracting the initial intensity value from the final intensity value IN. This intensity change difference information is denoted as DI. When N is greater than one, a division operation is performed with the intensity change difference information DI as the dividend and N-1 as the divisor. The quotient obtained is used as the numerical representation of the intensity change trend information. When N is equal to one, the numerical value of the intensity change trend information is directly set to zero. This completes the specific implementation process of calculating the reference baseline intensity information and intensity change trend information based on the historical infrared emission signal intensity index information.

[0087] S603: Based on the reference baseline intensity information and intensity change trend information, adjust the preset intensity level threshold information to obtain the target intensity level threshold information.

[0088] In this embodiment, the target intensity level threshold information refers to the updated set of intensity level threshold values ​​calculated based on the preset intensity level threshold information, combined with the reference baseline intensity information and the intensity change trend information, which is used to determine the intensity level of infrared emission signals. The threshold adjustment coefficient information refers to the set of dimensionless coefficients calculated based on the reference baseline intensity information and the intensity change trend information, which are used to amplify or reduce each preset intensity level threshold. The reference intensity nominal value information refers to the nominal intensity value selected in advance during the method design stage to characterize the intensity level of typical infrared emission signals under normal working conditions.

[0089] Specifically, the threshold values ​​for each intensity level in the preset intensity level threshold information set are obtained, and these threshold values, arranged in ascending order, are denoted as T1, T2, ..., TM. Simultaneously, the reference baseline intensity information value and intensity change trend information value calculated in the previous step are obtained. A division operation is performed between the reference baseline intensity information value and the reference intensity nominal value to obtain a baseline offset ratio coefficient, which reflects the degree of deviation of the current overall intensity level of the infrared emitting device from the nominal intensity level. This baseline offset ratio coefficient is denoted as... Then, the intensity change trend information is divided by the reference intensity nominal value to obtain the trend offset ratio coefficient, which reflects the magnitude of the intensity change relative to the nominal intensity level within a unit measurement interval. This trend offset ratio coefficient is denoted as... Then, according to the preset threshold adjustment rules, and The coefficients used for overall adjustment in the combined threshold adjustment coefficient information are obtained, and the overall adjustment coefficient is denoted as... The overall adjustment coefficient can be calculated according to... The calculation is performed in the form of , where a and b are weight parameters set during the calibration phase, and the overall adjustment coefficient is obtained. Then, a multiplication operation is performed on each preset intensity level threshold value Ti, and Ti is multiplied by... Multiplying them yields the adjusted intensity level threshold value Ti', i.e. Repeat the above operation for i = 1 to M in sequence, and re-sort all the adjusted intensity level threshold values ​​T1', T2', ..., TM' according to their numerical size. The resulting threshold sequence is used as the target intensity level threshold information.

[0090] S604: Determine the infrared emission signal strength level judgment result based on the comparison result between the infrared emission signal strength index information and the target strength level threshold information.

[0091] In this embodiment, the infrared emission signal strength level determination result refers to the strength level identifier determined based on the infrared emission signal strength index information within the range of multiple strength level ranges defined by the target strength level threshold information.

[0092] Specifically, the process involves acquiring the infrared emission signal intensity index value corresponding to the current measurement, and obtaining multiple intensity level threshold values ​​arranged in ascending order from the target intensity level threshold information. These intensity level threshold values ​​are sequentially recorded as the first intensity level threshold, the second intensity level threshold, and so on up to the Mth intensity level threshold. Then, starting from the first intensity level threshold, each intensity level threshold is selected sequentially and compared with the infrared emission signal intensity index value. When the infrared emission signal intensity index value is less than or equal to the currently selected intensity level threshold value, the position of the current intensity level threshold in the sequence is used as the intensity level sequence number, and the text description corresponding to the intensity level sequence number is used as the intensity level description. The intensity level sequence number and intensity level description are combined to form the infrared emission signal intensity level determination result, and the subsequent threshold comparison process ends. When the infrared emission signal intensity index value is still greater than the Mth intensity level threshold value after being compared sequentially with all intensity level threshold values, the highest intensity level corresponding to the Mth intensity level threshold is used as the intensity level sequence number, and the text description corresponding to the highest intensity level is used as the intensity level description. The two are combined to form the infrared emission signal intensity level determination result.

[0093] In one embodiment, step S60, namely, generating measurement result information of the infrared emitting device based on the infrared emission signal intensity level determination result, includes: S604: Based on the correspondence between the infrared emission signal intensity level determination result and the preset intensity level description information, determine the measurement conclusion information used to characterize the working status of the infrared emitting device.

[0094] In this embodiment, the preset intensity level description information refers to a set of description data pre-set for different infrared emission signal intensity levels. The preset intensity level description information is organized in the form of multiple records. Each record contains at least intensity level identification information and working status description text information corresponding to the intensity level identification information. The measurement conclusion information refers to the combination of description text information used to characterize the working status of the infrared emitting device and intensity level identification information corresponding to the description text information, selected from the preset intensity level description information based on the infrared emission signal intensity level determination result.

[0095] Specifically, the intensity level identification information contained in the infrared emission signal intensity level determination result is obtained. Using this intensity level identification information as a search condition, the intensity level identification field in each record is compared in the set of records corresponding to the preset intensity level description information. When the intensity level identification field in a record is equal to the intensity level identification information, that record is identified as the target description record. The working status description text information corresponding to the intensity level identification field is read from the target description record. Then, a measurement conclusion information data structure is constructed, in which an intensity level identification field and a working status description text field are set. The intensity level identification information from the infrared emission signal intensity level determination result is written into the intensity level identification field, and the working status description text information read from the target description record is written into the working status description text field. In this way, the determination and organization of the measurement conclusion information are completed, ensuring that the measurement conclusion information fully reflects the working status description of the infrared emitting device corresponding to the infrared emission signal intensity level determination result.

[0096] S605: Based on the measurement conclusion information and the infrared emission signal strength index information, generate result content information that includes the measurement conclusion information and the infrared emission signal strength index information.

[0097] In this embodiment, the result content information refers to the structured data record formed by combining the measurement conclusion information and the infrared emission signal intensity index information according to the preset result field format. The preset result field format includes at least a conclusion field for storing the measurement conclusion information and an intensity field for storing the value of the infrared emission signal intensity index information. It may also include a unit field for storing the unit of the intensity value display.

[0098] Specifically, the process involves obtaining the established measurement conclusion information, which includes a working status description text indicating the operating status of the infrared emitting device. This working status description text is used as the conclusion text content to be written into the conclusion field. Then, the infrared emission signal strength index information value calculated in the corresponding measurement process is obtained and used as the intensity value content to be written into the intensity field. Simultaneously, the intensity unit string is determined based on the physical meaning of the infrared emission signal strength index information, such as milliwatts per square centimeter or other agreed-upon unit strings. This intensity unit string is used as the unit content to be written into the unit field. After completing the above data preparation, a new result content information record is created. In the result content information record, the conclusion field, intensity field, and unit field are set sequentially according to the preset result field format. The conclusion text content is written into the conclusion field, the intensity value content is written into the intensity field, and the intensity unit string is written into the unit field. The three fields are filled in a single write operation, allowing the result content information record to simultaneously carry the measurement conclusion information and the infrared emission signal strength index information.

[0099] S606: Based on the preset result display rules, format the result content information to obtain the measurement result information of the infrared emitting device.

[0100] In this embodiment, the preset result display rule information refers to a set of rule data used to limit the presentation of result content information on the smart terminal display interface. The preset result display rule information includes the arrangement order information of each field of the result content information on the display interface, the decimal place retention rule information of numerical fields, the display style information of unit fields, and the conclusion text prefix description information. The measurement result information refers to the structured display data generated based on the result content information and formatted according to the preset result display rule information, which is used to drive the output of the display interface. The structured display data includes at least the formatted measurement conclusion display content and the formatted infrared emission signal intensity display content.

[0101] Specifically, the process involves retrieving the conclusion, intensity, and unit fields from the result information. The conclusion field is used as the original measurement conclusion text, the intensity field as the original intensity value, and the unit field as the original unit string. Simultaneously, the process reads the field order information, decimal place retention rules, unit display style information, and conclusion prefix description information from the preset result display rules. Then, according to the decimal place retention rules, the original intensity value is formatted, converting it into a target intensity value that meets the specified decimal place requirements through rounding or truncation. Finally, the target intensity value is displayed according to the unit display style information. The degree value is concatenated with the original unit string to obtain the intensity display text. The conclusion prefix description information is concatenated with the original measurement conclusion text to obtain the conclusion display text. After obtaining the conclusion display text and the intensity display text, the order of display is determined based on the field arrangement information to determine whether the conclusion display text and the intensity display text are displayed on the same line or on different lines, as well as their order. The measurement result information is constructed by sequentially writing the conclusion display text and the intensity display text into a preset data structure. The constructed measurement result information is then output to the display interface rendering process, enabling the display interface to present the corresponding infrared emitting device measurement result information in a pre-defined format according to the preset result display rules.

[0102] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0103] In one embodiment, an infrared emission signal intensity measuring device is provided, which corresponds one-to-one with the infrared emission signal intensity measuring method described in the above embodiments. For example... Figure 4 As shown, the infrared emission signal intensity measurement device includes an image acquisition module, a target area determination module, a normalization processing module, an intensity index calculation module, and a level determination and result output module.

[0104] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for measuring the intensity of infrared emitted signals, characterized in that, The infrared emission signal intensity measurement method includes: Acquire measurement image information from the infrared emitting device captured by the camera of the smart terminal, as well as the corresponding shooting parameter information; Based on the measured image information, the target image area of ​​the infrared emitting device in the measured image information is determined, and the target area image information is obtained; Based on the target region image information and shooting parameter information, a brightness processing operation is performed to obtain target brightness information that characterizes the brightness level of the target image region. Based on the target brightness information and shooting parameter information, normalization processing is performed to obtain normalized brightness values; Input the normalized brightness value into the preset calibration mapping model to obtain the infrared emission signal intensity index information corresponding to the normalized brightness value; Based on the comparison between the infrared emission signal strength index information and the preset intensity level threshold information, the infrared emission signal strength level judgment result is determined. Based on the infrared emission signal strength level judgment result, the measurement result information of the infrared emitting device is generated and output on the display interface of the smart terminal.

2. The method for measuring the intensity of infrared emitted signals according to claim 1, characterized in that, The step of determining the target image region of the infrared emitting device in the measured image information based on the measured image information, and obtaining the target region image information, includes: Based on the preset position constraint of the infrared transmitter in the field of view of the smart terminal camera, candidate image regions containing the infrared transmitter are determined in the measured image information. The brightness values ​​of pixels within the candidate image region are compared with a preset brightness threshold. The connected regions formed by pixels whose brightness values ​​are greater than the preset brightness threshold are determined as the target image region, and the image information corresponding to the target image region is used as the target region image information.

3. The method for measuring the intensity of infrared emitted signals according to claim 1, characterized in that, The step of performing brightness processing operations based on target region image information and shooting parameter information to obtain target brightness information used to characterize the brightness level of the target image region includes: Extract the grayscale values ​​of each pixel within the target image region from the target image information; Perform a preset statistical operation on the grayscale values ​​to obtain initial brightness information that characterizes the overall brightness of the target image region; Based on the exposure time and gain parameters in the shooting parameter information, the initial brightness information is subjected to exposure normalization calculation to obtain a brightness value that is independent of exposure time and gain. Based on the shooting parameter information, determine whether the exposure time parameter and gain parameter fall within the preset exposure parameter target range. If the exposure time parameter and gain parameter fall within the preset exposure parameter target range, then the brightness value that is unrelated to the exposure time and gain will be used as the target brightness information.

4. The method for measuring the intensity of infrared emitted signals according to claim 1, characterized in that, The step of inputting the normalized brightness value into a preset calibration mapping model to obtain infrared emission signal intensity index information corresponding to the normalized brightness value includes: Read multiple preset normalized brightness values ​​and preset infrared emission signal strength index information corresponding to each preset normalized brightness value from the calibration mapping model; Based on the numerical relationship between the normalized brightness value and each preset normalized brightness value, the target calibration interval where the normalized brightness value is located is determined, and the preset normalized brightness values ​​at both ends of the target calibration interval and the corresponding preset infrared emission signal intensity index information are used as target calibration information. Based on the target calibration information, interpolation and nonlinear function operations are performed to obtain the initial infrared emission signal intensity index information corresponding to the normalized brightness value. Based on the difference between the normalized brightness value and the initial infrared emission signal intensity index, the initial infrared emission signal intensity index is corrected to obtain the infrared emission signal intensity index.

5. The method for measuring the intensity of infrared emitted signals according to claim 4, characterized in that, The step of correcting the initial infrared emission signal intensity index information based on the difference between the normalized brightness value and the initial infrared emission signal intensity index information to obtain the infrared emission signal intensity index information includes: Based on the difference information, numerical information is obtained to characterize the degree of deviation between the normalized brightness value and the initial infrared emission signal intensity index. The difference threshold information in the preset difference threshold information set is compared with the difference numerical information to obtain the comparison result. Based on the comparison result, the target correction coefficient information corresponding to the difference numerical information is determined. The infrared emission signal strength index is calculated based on the preset functional relationship between the initial infrared emission signal strength index, the difference value information, and the target correction coefficient information.

6. The method for measuring the intensity of infrared emitted signals according to claim 1, characterized in that, The step of determining the infrared emission signal strength level based on the comparison between the infrared emission signal strength index information and the preset strength level threshold information includes: Obtain historical infrared emission signal strength information corresponding to the infrared emitting device; Based on historical infrared emission signal strength information, calculate the reference baseline strength information and intensity change trend information used to characterize the infrared emitting device; Based on the reference baseline intensity information and intensity change trend information, the preset intensity level threshold information is adjusted to obtain the target intensity level threshold information; The infrared emission signal intensity level is determined based on the comparison between the infrared emission signal intensity index information and the target intensity level threshold information.

7. The method for measuring the intensity of infrared emitted signals according to claim 1, characterized in that, The step of generating measurement result information for the infrared emitting device based on the infrared emission signal strength level determination result includes: Based on the correspondence between the infrared emission signal intensity level determination results and the preset intensity level description information, the measurement conclusion information used to characterize the working status of the infrared emitting device is determined. Based on the measurement conclusion information and the infrared emission signal strength index information, generate result content information that includes both the measurement conclusion information and the infrared emission signal strength index information; Based on the preset result display rules, the result content information is formatted to obtain the measurement result information of the infrared emitting device.

8. An infrared emission signal intensity measuring device, characterized in that, The infrared emission signal intensity measuring device includes: The image acquisition module is used to acquire measurement image information from the infrared emitting device captured by the camera of the smart terminal, as well as the shooting parameter information corresponding to the measurement image information; The target area determination module is used to determine the target image area of ​​the infrared emitting device in the measured image information based on the measured image information, and obtain the target area image information; The brightness processing module is used to perform brightness processing operations based on the target area image information and shooting parameter information to obtain target brightness information that characterizes the brightness level of the target image area. The normalization processing module is used to perform normalization processing based on the target brightness information and the shooting parameter information to obtain the normalized brightness value; The intensity index calculation module is used to input the normalized brightness value into a preset calibration mapping model to obtain the infrared emission signal intensity index information corresponding to the normalized brightness value. The level determination and result output module is used to determine the infrared emission signal strength level determination result based on the comparison result between the infrared emission signal strength index information and the preset strength level threshold information, generate the measurement result information of the infrared emitting device based on the infrared emission signal strength level determination result, and output the measurement result information on the display interface of the smart terminal.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the infrared emission signal intensity measurement method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the infrared emission signal intensity measurement method as described in any one of claims 1 to 7.

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