A method and system for monitoring the temperature of a child

Abstract

The present application relates to a kind of children's body temperature monitoring method and system, it is related to the field of body temperature monitoring, it includes obtaining bandage feature;According to bandage feature, matching identification is carried out in monitoring image, obtain bandage area;Bandage area is compared with interference radiation area;If bandage area and interference radiation area do not exist overlap, extract temperature change color, find temperature range and output;If bandage area and interference radiation area exist overlap, find the interference source position corresponding to the interference radiation area that bandage area exists overlap;Extract to obtain bandage center point, calculate the direction of connecting line between bandage center point and interference source position;It is obtained by calculation that the vertical demarcation line that is perpendicular to the direction of connecting line through bandage center point;Get the first bandage area of temperature change bandage far from interference source position side;Obtain first bandage image and extract temperature change color, find temperature range and output.The present application has the effect of realizing uninterrupted and automated children's body temperature monitoring.

Description

Technical Field

[0001] This invention relates to the field of body temperature monitoring, and in particular to a method and system for monitoring body temperature in children. Background Technology

[0002] Children's body temperature is prone to repeated fluctuations. In hospital wards, outpatient clinics, and daily home care settings, continuous and consistent temperature records are necessary to fully understand the trend of children's temperature changes.

[0003] Currently, the mainstream method for detecting children's body temperature is to have medical staff or parents manually measure the child's temperature at regular intervals using traditional mercury or electronic thermometers.

[0004] Regarding the aforementioned technologies, existing manual detection methods are prone to missed detections, and the changes in children's body temperature cannot be fed back in real time, making it difficult to achieve uninterrupted and automated monitoring of children's body temperature. There is still room for improvement. Summary of the Invention

[0005] To achieve uninterrupted and automated monitoring of children's body temperature, this invention provides a method and system for monitoring children's body temperature.

[0006] In a first aspect, the present invention provides a method for monitoring a child's body temperature, employing the following technical solution: A method for monitoring a child's body temperature, comprising: Step 1: Obtain the strap characteristics of the temperature-sensitive headband worn by the child; Step 2: Match and identify the temperature-sensitive strap area in the monitoring image captured by the preset camera based on the strap features; Step 3: Compare the area covered by the strap with the interference radiation area in the preset interference source map; Step 30: If the strapping area does not overlap with the interference radiation area, extract the temperature change color from the temperature-changing strap in the monitoring image, find the corresponding temperature range in the preset color temperature table based on the temperature change color, and output it. Step 31: If the strapping area overlaps with the interference radiation area, find the location of the interference source corresponding to the interference radiation area that overlaps with the strapping area in the interference source map. Step 4: Extract the center point of the strap based on the strap area, and calculate the direction of the line connecting the center point of the strap and the location of the interference source; Step 5: Calculate the vertical dividing line that passes through the center point of the strap and is perpendicular to the direction of the connecting line based on the direction of the connecting line and the center point of the strap. Step 6: Based on the vertical dividing line, obtain the first strap area on the side of the temperature-changing strap away from the interference source; Step 7: Obtain the first strap image of the first strap area and extract the temperature-changing color of the temperature-changing strap in the first strap image. Find the corresponding temperature range in the preset color temperature table according to the temperature-changing color and output it.

[0007] By adopting the above technical solution, the strap area is obtained by matching the monitoring image with the strap features, and the interference radiation area is compared. If there is no overlap, the temperature range is directly extracted by looking up the temperature change color table. If there is overlap, the location of the interference source is located. The direction of the line connecting the strap center point and the vertical dividing line are calculated to divide the first strap area. After that, the color is extracted and the temperature range is output by looking up the table. This realizes uninterrupted and automated monitoring of children's body temperature and solves the problem of missed measurements causing the inability to provide real-time feedback on changes in children's body temperature.

[0008] Optional, also includes: Step 70: Define the binding area that does not overlap with the interference radiation area and the first binding area as effective areas; Step 71: Count the number of valid regions identified; Step 72: When the number of regions is greater than 1, identify the human body parts worn in each effective region according to the preset human body part features, and extract the temperature-changing color of the temperature-changing strap corresponding to the human body part. Step 73: Find the corresponding temperature range for each body part in the color temperature table based on the color change of the corresponding body part; Step 74: Find the corresponding body part weights based on the preset human body weight database; Step 75: Find the upper and lower limits of the temperature range for each part based on the temperature range of the part, and perform a weighted average according to the corresponding part weight to obtain the comprehensive upper limit and comprehensive lower limit. Step 76: Combine the upper limit value and the lower limit value to form a temperature range and output it.

[0009] By adopting the above technical solution, the effective area is delineated and the number is counted. When the number is greater than 1, the corresponding human body part is identified, the temperature range of the part is obtained by extracting the temperature change color, and the upper and lower limits of the human body weight library are combined to synthesize the temperature range output. This achieves the effect of weighting the temperature range fed back by different human body parts to output the final temperature range, and solves the problem of insufficient accuracy of the temperature range fed back by a single human body part.

[0010] Optional, also includes: Step 700: Obtain the output time of the temperature range and the current time; Step 701: Plot the temperature change curve based on the temperature range and the corresponding output time; Step 702: Calculate the rate of temperature change at the current time based on the temperature change curve; Step 703: If the temperature change rate falls into the preset cooling change rate threshold, and the temperature range at the current time falls into the preset normal temperature range, then the temperature range at the current time is taken as the reference temperature range. Step 704: Continuously monitor the temperature range changes after the current time; Step 705: If the temperature change range is greater than the reference temperature range, execute the preset adjustment and monitoring scheme.

[0011] By adopting the above technical solution, the temperature change curve is plotted by collecting the output time and the current time, and the temperature change rate is calculated. If the threshold and normal temperature range conditions are met, a baseline temperature range is set, and the temperature change range is continuously monitored. If the value is too high, the monitoring plan is adjusted, thus achieving the effect of adjusting the monitoring plan according to the child's temperature changes.

[0012] Optionally, methods for implementing preset adjustment monitoring schemes include: Step 7050: Compare the temperature ranges of each part to obtain the difference between the temperature ranges of each part; Step 7051: If the difference in the range of body parts is greater than the preset difference threshold for body parts, then update the human body weight library to the preset human body correction weight library. Step 7052: Find the corresponding correction weights for human body parts based on the human body correction weight library; Step 7053: Calculate the corrected temperature range by performing a weighted average based on the temperature range of the affected area and the corresponding correction weight, and then output the corrected temperature range.

[0013] By adopting the above technical solution, the temperature range of each part is first compared to obtain the difference between the part ranges. If the difference exceeds the part difference threshold, the human body weight library is replaced with the human body correction weight library. The corresponding correction weight is retrieved to calculate the weighted average of the part temperature range, and the correction temperature range is obtained and output. This solves the problem that when the temperature difference between different parts of a child is too large, the original weight cannot accurately reflect the actual temperature range.

[0014] Optionally, it also includes a method for obtaining an effective area if the strapping area overlaps with multiple interfering radiation areas, the method comprising: Step 310: Organize multiple interfering radiation regions that overlap with the strap area into an interfering radiation sequence; Step 311: Based on the interference radiation sequence, find multiple corresponding interference source locations in the interference source map and form an interference source location sequence; Step 312: Based on the sequence of interference source locations, execute steps 4 to 6 sequentially to obtain the first strapping area corresponding to each interference source location; Step 313: Perform an intersection operation on each of the first strap regions to obtain the intersection region; Step 314: If an intersection region exists, define the binding region and the intersection region that do not overlap with the interference radiation region as valid regions and output them; Step 315: If the intersection region does not exist, define the binding region that does not overlap with the interference radiation region as the valid region and output it.

[0015] By adopting the above technical solution, when the strapping area overlaps with multiple interference radiation areas, an interference radiation sequence and an interference source location sequence are generated. The first strapping area is obtained and the intersection area is calculated. Based on whether the intersection area exists, the corresponding effective area is delineated and output. This solves the problem that it is difficult to screen out the non-interference strapping area when the strapping area overlaps with multiple interference radiation areas.

[0016] Optionally, a method for determining the interference radiation area may also be included, the method comprising: Step 300: Obtain the interference source corresponding to the interference radiation area; Step 301: If the interference source does not fall into the preset electrical appliance category, then output the interference radiation area corresponding to the interference source; Step 302: If the interference source falls into the preset electrical appliance category, then obtain the switching signal of the interference source; Step 303: When the switch signal is in the preset on state, the interference radiation area corresponding to the interference source will be output; Step 304: When the switch signal is in the preset off state, the interference radiation area corresponding to the corresponding interference source will not be output.

[0017] By adopting the above technical solution, the corresponding interference source is obtained. If the interference source does not belong to the electrical appliance category, the interference radiation area is directly output. If it belongs to the electrical appliance category, the switch signal is obtained. If the device is in the on state, the interference radiation area is output. If it is in the off state, no output is output. This achieves the effect of judging whether there is an interference radiation area based on the real-time status of the electrical interference source.

[0018] Optional, also includes: Step 305: Identify individuals who are not wearing temperature-sensitive straps based on monitoring images and strap features; Step 306: Calculate the distance between the strapping area and the person; Step 307: If the distance between people is less than the preset distance threshold, then define the people as a dynamic interference source; Step 308: Calculate the dynamic radiation area of ​​the dynamic interference source based on the dynamic interference source and the preset personnel radiation area; Step 309: Output the dynamic radiation area as the interference radiation area.

[0019] By adopting the above technical solution, personnel who are not wearing temperature-sensitive straps are identified, the distance between them is calculated, and if the distance between them is less than the distance threshold, they are identified as dynamic interference sources. The dynamic radiation area is calculated and output as the interference radiation area, thus eliminating the interference of moving personnel on the temperature-sensitive straps.

[0020] Optionally, methods for continuously monitoring the temperature range after the current time include: Step 7040: Identify the strapping area based on the monitoring image; Step 7041: If the strap area changes, accumulate the duration of the change, and calculate the movement distance of the temperature-sensitive strap based on the strap area; Step 7042: Calculate the movement rate based on the change duration and movement distance; Step 7043: When the moving speed is greater than the preset stationary speed, the corresponding correction value is searched in the preset moving temperature correction library according to the moving speed. Step 7044: Update the temperature range by correcting the temperature range according to the correction value.

[0021] By adopting the above technical solution, the strapping area in the monitoring image is identified. When the strapping area changes, the duration of the change and the distance of movement are statistically analyzed to calculate the movement rate. When the rate exceeds the stationary rate, the correction value is retrieved from the movement temperature correction library. The correction value is used to correct and update the temperature range of change, thereby reducing the interference of the heat generated by the child during exercise on the actual temperature range of the temperature-changing strap.

[0022] Optionally, a method for correcting the temperature range output is also included, which includes: Step 70530: Continuously find the corresponding temperature range of each part of the human body in the color temperature table according to the temperature change color of each part, and calculate the difference between the temperature ranges of each part. Step 70531: If the difference in the range of body parts is not greater than the difference threshold of body parts, then update the human body correction weight library to the human body weight library; Step 70532: When the temperature range of each part falls within the preset normal temperature range, the human body correction weight library is updated to the human body weight library.

[0023] By adopting the above technical solution, after outputting the corrected temperature range, the temperature range of the body part is continuously acquired and the difference between the body part ranges is calculated. When the difference between the body part ranges is not greater than the body part difference threshold or when the temperature ranges of all body parts are within the normal temperature range, the human body correction weight library is updated to the human body weight library, thus achieving the effect of automatically switching weight allocation according to temperature changes.

[0024] Secondly, the present invention provides a child body temperature monitoring system, which adopts the following technical solution: A child body temperature monitoring system, comprising: The acquisition module is used to acquire the strap features, the first strap image, the output time, the current time, the interference source, and the switch signal; A memory for storing a program for a method of monitoring a child's body temperature as described above; The processor loads and executes programs from memory.

[0025] In summary, the present invention has at least one of the following beneficial technical effects: 1. It achieves uninterrupted and automated monitoring of children's body temperature, solving the problem of missed measurements leading to a lack of real-time feedback on changes in children's body temperature; 2. This solves the problem that the original weighting method could not accurately reflect the actual temperature range when there are large temperature differences in different parts of a child's body. Attached Figure Description

[0026] Figure 1 This is a flowchart of a method for monitoring a child's body temperature in an embodiment of this application.

[0027] Figure 2 This is a schematic diagram of a child's body temperature monitoring method in an embodiment of this application.

[0028] Figure 3 This is a flowchart of a method for executing a preset adjustment monitoring scheme in an embodiment of this application. Detailed Implementation

[0029] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0030] This invention discloses a method for monitoring a child's body temperature. (Refer to...) Figure 1 One method for monitoring children's body temperature includes: Step 1: Obtain the strap characteristics of the temperature-sensitive strap worn by the child.

[0031] A thermochromic wristband is a flexible band-like garment worn on a child's wrist, ankle, or forehead. Its outer surface is coated with a thermochromic material that changes color visibly according to the temperature of the skin it contacts, and it contains no electronic components. For example, it may appear blue at 36°C, green at 38°C, and red at 40°C. The thermochromic wristband is pre-set by someone skilled in the art.

[0032] The strap features refer to the visual appearance characteristics carried on the surface of the thermochromic strap, which can be used by a camera to identify and lock onto the corresponding thermochromic strap. The visual appearance characteristics include the overall outline shape of the thermochromic strap and a specific textured pattern printed on its surface that does not change color with temperature. The specific textured pattern can take the form of a certain color block arrangement. This specific textured pattern can use black crosshairs or circular reference points. The strap features are pre-set by those skilled in the art, and multiple specific textured patterns evenly distributed along the length direction are printed on the outer surface of the thermochromic strap during its manufacturing stage as fixed visual markers. Before first use, images of the strap are acquired using a camera, the distribution and outline shape of the positioning markers are extracted and encoded into feature vectors and stored in a feature library; during real-time operation, each frame of the image is compared with the feature vectors in the feature library, and the area with the highest matching degree is selected as the strap area.

[0033] Step 2: Match and identify the temperature-sensitive strap area in the monitoring image captured by the preset camera based on the strap features.

[0034] A camera refers to a fixed or pan-tilt-zoom (PTZ) image acquisition device installed within the monitoring environment. It continuously captures real-time images of the area where the child's temperature-sensitive harness is located, and is pre-configured by someone skilled in the art. The monitoring environment may be a corner of a hospital ward ceiling, a wall-mounted bracket, or a desktop tripod. The camera's optical axis is directed towards the child's primary areas of daily activity during deployment.

[0035] A monitored image refers to a single frame of digital image output by a camera at each sampling moment.

[0036] The strapping area refers to the set of pixel locations occupied by the temperature-changing straps in the monitoring image. The process involves searching for strapping features in the monitoring image captured by the camera, comparing these features with the strapping feature vectors recorded before the first use, calculating the position and orientation of the temperature-changing straps in the current frame, and then completely outlining and outputting the pixel area occupied by the temperature-changing straps based on the recorded overall outline shape. If insufficient strapping features are found in the image, it indicates that the temperature-changing straps are obscured or not within the camera's field of view; the current frame is discarded, and the next frame is waited for. If part of the temperature-changing straps is obscured, only the unobscured portion is taken; if more than half is obscured, the current frame is discarded.

[0037] Step 3: Compare the area of ​​the strap with the interference radiation area in the preset interference source map.

[0038] An interference source map is a map showing the spatial locations and influence ranges of all fixed-temperature interference sources within a monitored environment, pre-set by someone skilled in the art. The locations of each interference source, such as air conditioner vents, radiators, and windows, are manually marked on the monitoring images captured by the camera via a software interface. The software then uses the camera's focal length, installation height, and tilt angle to convert the marked two-dimensional pixel coordinates into three-dimensional spatial coordinates. Centered on the marked locations, and based on preset interference source types (air conditioner vents as cones, radiators as spheres, and windows as fan-shaped areas), it automatically generates corresponding interference radiation areas. Finally, the three-dimensional coordinates and radiation areas of all interference sources are stored in a single map file to obtain the interference source map.

[0039] The interference radiation area refers to the spatial range within which an interference source exerts a measurable influence on the temperature of the temperature-changing bandage, represented by a three-dimensional geometric shape, such as a sphere, cone, or sector. When creating the interference source map, the corresponding three-dimensional geometric area is automatically generated based on the coordinates of the interference source locations marked by the operator and preset interference source type parameters, such as a 30° cone angle and an influence radius of 1.5m for an air conditioner vent, a 1.0m influence radius for a radiator, and a 1.0m influence radius for a window. The interference source type parameters are preset by those skilled in the art based on the actual installation of the interference sources in the monitoring environment. The cone angle of the air conditioner vent can be set with reference to the actual airflow angle of the air conditioner vent, and the influence radius can be determined based on the airflow force and temperature attenuation curve of the vent. The influence radii of radiators and windows can be estimated based on the difference between their surface temperature and room temperature.

[0040] Step 30: If the strapping area does not overlap with the interference radiation area, extract the temperature change color from the temperature-changing strap in the monitoring image, find the corresponding temperature range in the preset color temperature table based on the temperature change color, and output it.

[0041] Thermochromic color refers to the color displayed by the thermochromic layer on the surface of the thermochromic strap at the current temperature, represented by RGB values. The color values ​​of all pixels within the strap area of ​​the monitoring image are read. Abnormal pixels that are too bright or too dark due to reflection or shadows are removed. The arithmetic mean of the remaining pixel color values ​​is then taken as the thermochromic color output at that sampling moment. "Too bright" means all RGB channels are greater than 250, and "too dark" means all RGB channels are less than 10.

[0042] The color temperature table stores a mapping relationship between temperature-changing colors and temperature ranges. Each row in the table records a temperature range and its corresponding temperature-changing color range, represented by RGB. The color temperature table is calibrated by the strap manufacturer using a constant temperature chamber and a hyperspectral camera before leaving the factory. Straps from the same batch are placed in a constant temperature chamber, and the temperature is gradually increased from 34.0℃ to 41.0℃ in 0.5℃ increments. After each temperature point stabilizes for 30 minutes, the spectral data of the strap surface is collected using a hyperspectral camera under a standard light source and converted into RGB values. Each temperature point corresponds to a set of RGB values, resulting in several calibration temperature points and their corresponding RGB values. To improve temperature resolution, for unmeasured temperature points between adjacent calibration temperature points, an interpolation algorithm is used to calculate their corresponding RGB values, refining the temperature step to 0.1℃. The continuous temperature axis is segmented with an interval width of 0.3℃ to 0.5℃. Multiple temperature values ​​and their corresponding RGB values ​​within each interval are merged into a temperature range and its corresponding RGB value interval, forming the color temperature table. When in use, the system extracts the RGB values ​​of the temperature-changing color, finds the RGB value range that the RGB value falls into in the color temperature table, and outputs the temperature range corresponding to that range.

[0043] The temperature range refers to the temperature range found in the color temperature table based on the color change, for example, 36.8℃ to 37.2℃. The extracted color change is substituted into the color temperature table to find the RGB range where the matched color's RGB value falls. The lower and upper limits of that range are then extracted to form the temperature range, which is then output.

[0044] If the area where the strap is attached does not overlap with the area of ​​interference radiation, it means that the current spatial location of the strap will not be affected by any pre-stored temperature interference source. Therefore, the collected temperature change color can directly reflect the child's body surface temperature. The corresponding temperature range can be obtained by looking up the temperature change color in the table and output.

[0045] Step 31: If the strapping area overlaps with the interference radiation area, find the location of the interference source corresponding to the interference radiation area that overlaps with the strapping area in the interference source map.

[0046] The location of the interference source refers to the three-dimensional coordinates of the temperature interference source in the spatial coordinate system of the monitoring environment, with the optical center of the camera as the origin. When creating the interference source map, those skilled in the art mark the location of the interference source in the image captured by the camera, specifically referring to the method for obtaining the interference source map in step 3.

[0047] If the strapping area overlaps with the interference radiation area, it means that the current spatial location of the strap falls within the influence range of a pre-stored temperature interference source. At this time, the strap temperature will be affected by the interference source and cannot be read directly. Therefore, the location of the interference source must be located first.

[0048] Step 4: Extract the center point of the strap from the strap area and calculate the direction of the line connecting the center point of the strap and the location of the interference source.

[0049] In this embodiment, all pixel positions are described based on an image coordinate system. This coordinate system has the top left corner of the monitored image as the origin, the positive x-axis pointing horizontally to the right, and the positive y-axis pointing vertically downward. The coordinates are represented by (x, y) and are in pixels.

[0050] The center point of the strap refers to the geometric center of the strap area, denoted by (x, y). The center point is obtained by averaging the x-coordinates and y-coordinates of all pixels within the strap area.

[0051] The direction of the connection refers to the spatial direction from the center point of the strap to the location of the interference source. In the image coordinate system, a directed straight line is drawn with the center point of the strap as the starting point and the location of the interference source as the ending point. The direction vector of this line is recorded as the direction of the connection. If the center point of the strap and the location of the interference source coincide in the image coordinate system, the data for that frame is invalid and will be recalculated in the next frame.

[0052] Step 5: Calculate the vertical dividing line that passes through the center point of the strap and is perpendicular to the direction of the connecting line, based on the direction of the connecting line and the center point of the strap.

[0053] A vertical dividing line is a virtual straight line that passes through the center point of the strap and is perpendicular to the direction of the connecting line. In the image coordinate system, calculate the normal vector perpendicular to the direction vector of the connecting line, and draw a straight line through the center point of the strap along the direction of the normal vector. This straight line is the vertical dividing line.

[0054] Step 6: Based on the vertical dividing line, obtain the first strap area on the side of the temperature-changing strap away from the interference source.

[0055] The first binding region refers to the sub-region of the binding region that is furthest from the interference source. The binding region is divided into two parts by a vertical dividing line, and the pixel region located on the opposite side of the connecting line direction is taken as the first binding region.

[0056] Reference Figure 2 , Figure 2 This is a schematic diagram of a two-dimensional monitoring plane from a top-down perspective, captured by a camera. A represents the location of the interference source, and its corresponding interference radiation area is fan-shaped. The dashed line in the diagram only indicates the type of influence range of the interference source. The strapping area is a ring-shaped temperature-changing strapping area, with P being the center point of the strap. The line connecting point P to point A forms the direction of the connection. A perpendicular dividing line is drawn through the center point P of the strap to AP, dividing the strapping area into two regions, where a is the first strapping area.

[0057] Step 7: Obtain the first strap image of the first strap area and extract the temperature-changing color of the temperature-changing strap in the first strap image. Find the corresponding temperature range in the preset color temperature table according to the temperature-changing color and output it.

[0058] The first strap image refers to the sub-image of the monitoring image corresponding to the location of the first strap region. Based on the pixel coordinate range of the first strap region, the sub-image corresponding to that coordinate is cropped from the current frame monitoring image as the first strap image.

[0059] Extract the corresponding temperature-changing color from the first strap image, then look up the corresponding temperature range in the color temperature table and output it.

[0060] In one implementation, due to deployment factors such as the camera and the interference source being located on the same side, the first strap area on the side facing away from the interference source may be at the edge of the camera's field of view or obstructed by the child's body, preventing the area from being fully captured. In this case, the number of effective pixels in the first strap image may be lower than a preset threshold, for example, lower than 40% of the set theoretical number of pixels, and the frame is determined to be invalid and discarded.

[0061] When the number of consecutive invalid frames exceeds a preset limit, such as 10 frames, if multiple cameras are deployed in the monitoring environment, the system automatically retrieves monitoring images captured by other cameras. It then identifies the image quality parameters of the strapping area in each camera's view, such as the number of effective pixels and the occlusion ratio. The camera with the best image quality is selected as the master camera, and the first strapping area segmentation and color extraction steps are re-executed using the monitoring image captured by that camera. If all cameras fail to acquire a valid first strapping image, the system is determined to be in a state of complete occlusion, and the system waits for the next sampling period.

[0062] The measured temperature range can be used as one of the input data for the physiological parameter analysis system. Specifically, after taking the median value of the output temperature range, it is input into the system along with manually entered temperature data, temperature data collected by Bluetooth devices, and other methods, using "visual temperature measurement" as the data source identifier. The system then performs a fusion calculation on multiple sets of temperature data according to their respective preset confidence weights to obtain a fused temperature value. This fused temperature value is then combined with physiological parameters such as accompanying symptoms and age information entered by the user for comprehensive processing, outputting corresponding status indicators and reference prompts, forming a complete data link from temperature measurement to analysis. The median value of the temperature range refers to the arithmetic mean of the upper and lower limits of the temperature range.

[0063] This also includes: Step 70: Define the binding area and the first binding area, which do not overlap with the interference radiation area, as effective areas.

[0064] The effective area refers to the set of effective strapping areas from which temperature-changing colors can be extracted after interference filtering.

[0065] Step 71: Count the number of valid regions identified.

[0066] The number of regions refers to the number of valid regions in the set of valid regions. The number of regions can be obtained by counting the total number of valid region entries in the set of valid regions.

[0067] Step 72: When the number of regions is greater than 1, identify the human body parts worn in each effective region according to the preset human body part features, and extract the temperature-changing color of the temperature-changing straps corresponding to the human body parts.

[0068] Human body part features refer to visual features extracted in advance from images of various parts of the human body, which can identify which body part the effective area is worn on in the monitoring image. Those skilled in the art first collect sample images of different wearing parts such as the child's head, hands, and feet, and extract features such as contour shape, size ratio, skin texture, etc., from each sample image, encoding them into corresponding part feature templates and storing them in a human body part feature database. During real-time monitoring, the image features around the effective area are compared with the part templates in the feature database, and the part with the highest matching degree is selected as the wearing part corresponding to that effective area.

[0069] The body part refers to the specific location on the child's body where the temperature-sensitive strap is worn, including the head, hands, and feet. The corresponding body part is obtained by identifying the body part characteristics of the effective area.

[0070] When the number of regions is greater than 1, it indicates that there are multiple valid regions, and it is necessary to identify the body parts where the valid regions are located.

[0071] When the number of regions is equal to 1, it means that there is only one valid region, and the temperature range of that region is directly used as the final output.

[0072] When the number of areas is 0, it means that there are no available sampling areas for any of the straps, and this round of monitoring should be abandoned.

[0073] Step 73: Find the corresponding temperature range for each body part in the color temperature table based on the temperature change color of that part.

[0074] The temperature range of a body part refers to the temperature interval found in a color temperature table based on the color change of the body part where the effective area is located. For example, the head is 37.0℃ to 37.4℃, and the hands are 36.6℃ to 37.0℃. Each effective area independently performs a table lookup to obtain its corresponding temperature range.

[0075] Step 74: Find the corresponding body part weights based on the preset human body weight library.

[0076] The human body weight database contains a mapping relationship between human body parts and their corresponding weights. This database is pre-set by those skilled in the art based on clinical experience. The weights for each body part are pre-defined according to the correlation between the surface temperature and core body temperature. The head (temporal artery region) is closest to core body temperature and has the highest weight, followed by the hands, and then the feet. For example, the head has a weight of 0.5, the hands 0.3, and the feet 0.2, with a total weight of 1.

[0077] Body part weight refers to the weighting coefficient assigned to each body part. The corresponding body part weight is retrieved from the body weight database by using the body part corresponding to the effective region as an index.

[0078] Step 75: Find the upper and lower limits of the temperature range for each part based on the temperature range of the part, and calculate the weighted average according to the corresponding part weight to obtain the comprehensive upper limit and comprehensive lower limit.

[0079] The upper limit refers to the highest temperature within the temperature range of the affected area. The lower limit refers to the lowest temperature within the same temperature range. The upper and lower limits are read directly from the temperature range of the affected area. For example, if the temperature range is 36.8℃ to 37.2℃, the lower limit is 36.8℃ and the upper limit is 37.2℃.

[0080] The overall upper limit value is the weighted average of the upper limit values ​​of each part. The overall lower limit value is the weighted average of the lower limit values ​​of each part. The overall upper limit value is obtained by multiplying the upper limit value of each part by its corresponding part weight and then summing the results; the overall lower limit value is obtained by multiplying the lower limit value of each part by its corresponding part weight and then summing the results.

[0081] Step 76: Combine the upper limit value and the lower limit value to form a temperature range and output it.

[0082] The upper limit value is used as the upper limit of the temperature range, and the lower limit value is used as the lower limit of the temperature range. The two are combined to form a complete temperature range and output.

[0083] This also includes: Step 700: Obtain the output time of the temperature range and the current time.

[0084] Output time refers to the timestamp recorded each time a temperature range is output. When outputting a temperature range, the system reads the current time from the internal clock and uses it as the output time for that temperature range, storing it along with the temperature range itself.

[0085] The current time refers to the current real-time system time, which is read from the internal clock.

[0086] Step 701: Plot the temperature change curve based on the temperature range and the corresponding output time.

[0087] A temperature change curve is a continuous line graph plotted with time on the horizontal axis and temperature on the vertical axis. The median temperature range is used as the vertical axis, and the corresponding output time is used as the horizontal axis. Sampling points are plotted sequentially on a two-dimensional coordinate plane, and adjacent sampling points are connected by straight line segments to form a continuous line graph showing the temperature changing over time; this is the temperature change curve.

[0088] Step 702: Calculate the rate of temperature change at the current time based on the temperature change curve.

[0089] The rate of temperature change refers to the amount of temperature change per unit time. A sampling point is formed by binding the median value of the temperature range to its corresponding output time. Among the sampling points before the current time, the temperature values ​​of the N most recent consecutive sampling points are taken, where N is a preset positive integer, such as 3. A least squares method is used to perform linear fitting on these sampling points, and the slope of the fitted line is calculated. This slope is the rate of temperature change for the current sampling point. A slope greater than 0 indicates a temperature increase, a slope less than 0 indicates a temperature decrease, and a slope equal to 0 indicates that the temperature remains unchanged. If the number of sampling points is less than N, the current judgment is skipped, and the process waits for subsequent sampling points to accumulate.

[0090] Step 703: If the temperature change rate falls within the preset cooling change rate threshold, and the temperature range at the current time falls within the preset normal temperature range, then the temperature range at the current time is taken as the reference temperature range.

[0091] The temperature change rate threshold refers to the lower and upper limits of the set temperature change rate, which are preset by those skilled in the art based on the physiological law of the natural decline of children's body surface temperature. For example, the temperature change rate threshold range is 0.3°C to 1.5°C per hour.

[0092] The normal temperature range refers to a preset reference temperature range, which is pre-set by a person skilled in the art based on the normal fluctuation range of a child's body surface temperature, such as 36.0℃ to 37.5℃. This value can be adaptively adjusted by a person skilled in the art according to the child's age or the different parts of the garment worn.

[0093] The reference temperature range refers to the range of reference temperatures set when both the cooling rate threshold and the temperature fall within a preset reference temperature range are met. This range serves as a reference for subsequent body temperature monitoring.

[0094] If the rate of temperature change falls within the preset cooling rate of change threshold, and the temperature range at the current time falls within the preset normal temperature range, it indicates that the temperature is decreasing and the current temperature range falls within the preset reference temperature range; at this time, the temperature range at the current time is set as the reference temperature range, which will be used as the reference for subsequent temperature comparisons.

[0095] If the rate of temperature change does not fall within the preset cooling rate threshold or the current temperature range does not fall within the preset normal temperature range, it indicates that the rate of temperature change has not reached the preset rate of decrease or the current temperature value has not fallen within the preset reference temperature range. In this case, continue to collect subsequent data for re-evaluation.

[0096] Step 704: Continuously monitor the temperature range after the current time.

[0097] The variable temperature range refers to the temperature range obtained at each subsequent sampling time after the reference temperature range is set. By continuously executing step 76 to output the temperature range at each subsequent time, the temperature range output at each time is taken as the variable temperature range at that time.

[0098] Step 705: If the temperature change range is greater than the reference temperature range, execute the preset adjustment and monitoring scheme.

[0099] Adjusting the monitoring scheme refers to the preset monitoring parameter adjustment strategy, which is pre-set and stored in the system by those skilled in the art. For details, please refer to the description of subsequent steps 7050 to 7053.

[0100] If the temperature change range is not greater than the reference temperature range, it indicates that the current temperature range has not rebounded, and monitoring should continue.

[0101] If the temperature change range is greater than the reference temperature range, it indicates that the current temperature has rebounded. The temperature change status is determined to meet the adjustment conditions, and the preset adjustment monitoring plan is executed.

[0102] Reference Figure 3 The methods for implementing the preset adjustment monitoring plan include: Step 7050: Compare the temperature ranges of each part to obtain the difference between the temperature ranges of each part.

[0103] The body part range difference refers to the quantified value of the difference between the temperature ranges of different body parts. It is calculated by taking the median of the temperature range for each body part and then calculating the difference between the maximum and minimum temperature values ​​for all body parts. For example, if the median temperature for the head is 37.2℃, for the hands 36.8℃, and for the feet 35.6℃, then the body part range difference is 37.2℃ minus 35.6℃, which equals 1.6℃.

[0104] Step 7051: If the difference in the range of body parts is greater than the preset difference threshold for body parts, then update the human body weight library to the preset human body correction weight library.

[0105] The site difference threshold refers to the maximum allowable value of the difference between the temperature ranges of different sites. It is preset by those skilled in the art based on the normal range of differences in the surface temperature of different sites under normal physiological conditions in children. For example, the preset site difference threshold is 1.0℃.

[0106] The human body correction weight library contains a mapping relationship between human body parts and their corresponding correction weights. It is used during temperature recovery to replace the standard human body weight library for weighted fusion calculations. The human body correction weight library is pre-set by those skilled in the art; for example, the head correction weight is 0.7, the hand correction weight is 0.2, and the foot correction weight is 0.1, with the sum of all correction weights being 1. The human body correction weight library further reduces the weights for the limbs and increases the weight for the head to suppress temperature distortion in the limbs caused by peripheral vasoconstriction.

[0107] If the difference in the range of body parts exceeds the preset threshold for the difference in body parts, it indicates that there are some body parts with significantly higher temperatures than other body parts. In this case, it is necessary to adjust the weight allocation, update the human body weight library to the human body correction weight library, increase the weight of body parts with higher temperature reliability, such as the head, and decrease the weight of body parts whose temperature may be distorted, such as the feet.

[0108] If the temperature difference between different parts is not greater than the preset threshold for temperature difference between parts, it means that the temperature difference between different parts is within the normal range, and no additional operation is required.

[0109] Step 7052: Find the corresponding correction weights for human body parts based on the human body correction weight library.

[0110] Corrected weights refer to the weighting coefficients assigned to each body part in the human body corrected weights library. Using the body part as an index, the corresponding weight coefficient is searched in the human body corrected weights library to serve as the corrected weight for that part.

[0111] Step 7053: Calculate the corrected temperature range by performing a weighted average based on the temperature range of the affected area and the corresponding correction weight, and then output the corrected temperature range.

[0112] The corrected temperature range refers to the temperature range obtained by weighting the temperature ranges of each part using corrected weights. The upper limit of the temperature range for each part is multiplied by its corresponding corrected weight and then summed to obtain the corrected upper limit. The lower limit of the temperature range for each part is multiplied by its corresponding corrected weight and then summed to obtain the corrected lower limit. The corrected upper and lower limits are then combined to form the corrected temperature range and output.

[0113] This also includes a method for obtaining an effective area if the strapping area overlaps with multiple interfering radiation areas, the method comprising: Step 310: Organize multiple interfering radiation regions that overlap with the strap area into an interfering radiation sequence.

[0114] An interference radiation sequence is an ordered list obtained by arranging all interference radiation areas that overlap with the strapping area according to a preset rule. All interference radiation areas overlapping with the strapping area are extracted from the interference source map and sorted according to a preset sorting rule to form the interference radiation sequence. The sorting rule can be selected by descending overlap area, by interference source type priority, or by spatial location order.

[0115] Step 311: Based on the interference radiation sequence, find multiple corresponding interference source locations in the interference source map and form an interference source location sequence.

[0116] The interference source location sequence refers to an ordered list obtained by arranging the locations of interference sources corresponding to each interference radiation region in the interference radiation sequence in the same order. Following the order of the interference radiation sequence in step 310, the interference source locations corresponding to each interference radiation region are sequentially searched in the interference source map, and the found interference source locations are arranged in order to form the interference source location sequence.

[0117] Step 312: Execute steps 4 to 6 sequentially according to the interference source location sequence to obtain the first binding area corresponding to each interference source location.

[0118] Step 4 involves extracting the center point of the strap area and calculating the direction of the line connecting this center point to the location of the interference source. Step 5 involves calculating the vertical dividing line passing through the center point of the strap and perpendicular to the direction of the line. Step 6 involves obtaining the first strap area corresponding to the interference source based on the vertical dividing line. The above operations are performed for each interference source location to obtain its corresponding first strap area.

[0119] Step 313: Perform an intersection operation on each of the first strap regions to obtain the intersection region.

[0120] The intersection region refers to the overlapping pixel area shared by all the first strap regions. The intersection region is formed by performing an intersection operation on the pixel coordinate sets of all the first strap regions, specifically by taking the points with the same pixel coordinates from all the first strap regions.

[0121] Step 314: If an intersection region exists, define the binding region and the intersection region that do not overlap with the interference radiation region as valid regions and output them.

[0122] If an intersection region exists, it indicates that there is a common overlapping part between each of the first binding band regions. This common overlapping part is also facing away from all interference sources and is the optimal sampling region. At this time, the binding band region that does not overlap with the interference radiation region and the intersection region are defined together as the effective region and output.

[0123] Step 315: If the intersection region does not exist, define the binding region that does not overlap with the interference radiation region as the valid region and output it.

[0124] If no intersection region exists, it means that there is no common overlap between the first strap regions. In this case, a safe sampling region cannot be selected. Therefore, the strap region that does not overlap with the interference radiation region is defined as the effective region and output.

[0125] This also includes a method for determining the interference radiation area, which includes: Step 300: Obtain the interference source corresponding to the interference radiation area.

[0126] Interference sources refer to objects in the monitoring environment that can have a directional impact on the temperature of the straps, including fixed temperature interference sources such as air conditioning vents, radiators, and windows, which are marked by those skilled in the art when creating an interference source map.

[0127] Step 301: If the interference source does not fall into the preset electrical appliance category, the corresponding interference radiation area of ​​the interference source will be output.

[0128] Electrical appliance category refers to the category of electrical equipment that has two identifiable operating states: on and off. This includes air conditioners, fans, and electric heaters, etc.

[0129] If the interference source does not fall into the preset electrical appliance category, it means that the interference source is a non-electrical appliance, and the interference radiation area corresponding to the interference source is directly output.

[0130] Step 302: If the interference source falls into the preset electrical appliance category, then obtain the switching signal of the interference source.

[0131] Switching signals are digital signals that reflect whether an appliance is currently in an on or off state. These signals can be received via wireless communication protocols.

[0132] If the interference source falls into the preset electrical appliance category, it indicates that the interference source is an electrical appliance. Whether it actually has an impact depends on whether it is turned on or used. Therefore, the switch signal of the interference source is obtained.

[0133] Step 303: When the switch signal is in the preset on state, the interference radiation area corresponding to the interference source will be output.

[0134] The "on" state refers to the electrical appliance being in a powered-on and working state, which is preset by those skilled in the art.

[0135] When the switch signal is in the preset on state, it indicates that the electrical appliance is currently running, and its corresponding interference radiation area will affect the temperature of the strap. Therefore, the interference radiation area corresponding to the interference source is output.

[0136] Step 304: When the switch signal is in the preset off state, the interference radiation area corresponding to the corresponding interference source will not be output.

[0137] The off state refers to the electrical appliance being in a power-off and non-working state, which is preset by those skilled in the art.

[0138] When the switch signal is in the preset off state, it means that the electrical appliance is not currently running, and its corresponding interference radiation area will not affect the temperature of the strap, so the interference radiation area will not be output.

[0139] This also includes: Step 305: Identify individuals who are not wearing temperature-sensitive straps based on monitoring images and strap features.

[0140] Human subjects refer to the human bodies appearing in the monitoring footage. Human detection algorithms process the monitoring images to identify all human bodies in the image. Children wearing restraints are then excluded based on restraint characteristics, and the remaining human bodies are marked as human subjects. Human detection algorithms can include YOLO and MediaPipe. For example, when a parent or medical staff appears in the footage, their body area is identified, and if they are not wearing restraints, they are considered human subjects.

[0141] Step 306: Calculate the distance between the strapping area and the person.

[0142] Person distance refers to the actual physical distance between the strapping area and the person. The center points of the strapping area and the person are extracted separately, such as the geometric center of the human detection frame or the center of the chest area. The pixel distance between them in the image is calculated. Then, based on the camera's focal length, installation height, and the ratio of pixel size to actual size, the pixel distance is converted into the actual physical distance. For example, if the center of the strapping area is 200 pixels away from the center of the person, according to the calibration parameters, this translates to an actual distance of 30 centimeters, so the person distance is 30cm.

[0143] Step 307: If the distance between people is less than the preset distance threshold, then define the people as a dynamic interference source.

[0144] The distance threshold refers to the critical distance value between a person and the strap, which is preset by a person skilled in the art based on the effective influence distance of human body thermal radiation, for example, the distance threshold is 30 centimeters.

[0145] If the distance between the person and the set distance threshold is less than the preset distance threshold, it means that the person's heat may interfere with the temperature change color of the strap. Therefore, the person is defined as a dynamic interference source.

[0146] If the distance between the personnel is not less than the preset distance threshold, it means that the heat of the personnel will not interfere with the temperature change color of the strap, and no additional operation is required.

[0147] Step 308: Calculate the dynamic radiation area of ​​the dynamic interference source based on the dynamic interference source and the preset personnel radiation area.

[0148] The personnel radiation zone refers to the spatial range within which a single person's thermal radiation affects the straps. It is pre-defined by those skilled in the art based on the effective influence distance of human thermal radiation. For example, a circular area with a radius of 30cm centered on the person's center point can be used as a template for the person's fixed radiation zone.

[0149] The dynamic radiation area refers to the real-time radiation area generated in the monitoring image after mapping the radiation area of ​​a person to the current location of a dynamic interference source. When a person is defined as a dynamic interference source, the preset radiation area of ​​the person is mapped to the image coordinate system based on the center point of the person in the monitoring image, generating the corresponding pixel area, which is output as the dynamic radiation area of ​​the dynamic interference source.

[0150] Step 309: Output the dynamic radiation area as the interference radiation area.

[0151] The dynamic radiation region is output as the interference radiation region and then used for spatial comparison with the strap region.

[0152] Methods for continuously monitoring the temperature range after the current time include: Step 7040: Identify the strapping area based on the monitoring image.

[0153] Step 7041: If the strap area changes, accumulate the duration of the change, and calculate the movement distance of the temperature-sensitive strap based on the strap area.

[0154] The change duration refers to the cumulative time that the strap area remains in a moving state. Timing begins when a change in the strap area is first detected—that is, when the strap area's position differs from the previous frame—and is continuously accumulated up to the current frame to obtain the change duration. If the strap area remains unchanged for several consecutive frames, the change duration is reset to zero.

[0155] The movement distance refers to the total distance traveled by the strapping area over a varying time period. The center point of the strapping area is extracted in each frame, and the pixel displacement between the center point of the current frame and the previous frame is calculated. The displacements of each frame are summed to obtain the total movement distance. Combined with the camera's calibration parameters, the pixel distance can be converted into the actual physical distance.

[0156] If the area of ​​the strap changes, it means the child is currently active. At this point, the duration of the change and the distance traveled are recorded.

[0157] If the area where the straps are applied remains unchanged, it means the child is currently at rest and no further action is required.

[0158] Step 7042: Calculate the movement rate based on the change duration and movement distance.

[0159] Movement rate refers to the distance the restraint area moves per unit of time, and it can measure the intensity of a child's current movement. Movement rate is obtained by dividing the distance moved by the duration of the change.

[0160] Step 7043: When the moving speed is greater than the preset stationary speed, the corresponding correction value is searched in the preset moving temperature correction library according to the moving speed.

[0161] The stationary rate refers to the critical value of movement speed that distinguishes a child from a stationary state to a moving state. It is preset by a person skilled in the art based on the characteristics of children's daily activities. For example, the stationary rate is 2 cm / s. When the moving rate is greater than 2 cm / s, it is judged as a moving state, and when it is not greater than 2 cm / s, it is judged as a stationary state.

[0162] The mobile temperature correction library contains a mapping relationship between different movement speed ranges and their corresponding temperature correction values. This allows for compensation and correction of temperature fluctuations during child exercise, eliminating the impact of exercise on body surface temperature. The library was pre-calibrated by experts based on publicly available data on pediatric exercise physiology or clinical experience. Correction values ​​are negative; the higher the movement speed, the larger the absolute value of the correction, indicating that exercise has led to a higher body surface temperature, requiring downward correction. During use, the corresponding correction value is looked up in the table based on the current movement speed, and the temperature range is then shifted accordingly.

[0163] The correction value refers to the temperature compensation amount corresponding to the current movement speed in the movement temperature correction library. The correction value corresponding to the current movement speed is searched in the movement temperature correction library using the current movement speed as an index.

[0164] When the moving speed is greater than the preset stationary speed, it indicates that the child is currently active and the body surface temperature may be higher due to movement. At this time, the correction value is obtained by referring to the table and the temperature range is corrected.

[0165] When the moving speed is no greater than the preset stationary speed, it means that the child is currently at rest and the body surface temperature is not affected by the movement, so no additional operation is required.

[0166] Step 7044: Update the temperature range by correcting the temperature range according to the correction value.

[0167] The upper and lower limits of the temperature variation range are each added with a correction value to obtain the corrected temperature variation range, which is then updated.

[0168] This also includes a method for correcting the temperature range output, which includes: Step 70530: Continuously find the corresponding temperature range of each part of the human body in the color temperature table according to the temperature change color of each part, and calculate the difference between the temperature ranges of each part.

[0169] After correcting the temperature range output, continue to find the corresponding temperature range of each part of the body in the color temperature table according to the temperature change color of each part, and then calculate the difference between the temperature ranges of each part according to the method in step 7050.

[0170] Step 70531: If the difference in the range of body parts is not greater than the difference threshold of body parts, then update the human body correction weight library to the human body weight library.

[0171] If the difference in the range of body parts is not greater than the threshold for the difference in body parts, it means that the temperature distribution of each body part has returned to a balanced state. At this time, the correction weight library has completed its adjustment mission, and the human body correction weight library is updated to the human body weight library to restore the normal weight allocation.

[0172] If the difference in the range of body parts is greater than the threshold for the difference in body parts, it indicates that the temperature distribution of each body part is still in a state of significant imbalance, and it is necessary to continue to use the human body correction weight library.

[0173] Step 70532: When the temperature range of each part falls within the preset normal temperature range, the human body correction weight library is updated to the human body weight library.

[0174] When the temperature range of each part falls within the preset normal temperature range, it means that the body temperature of all parts has returned to the reference range, the correction conditions of the correction weight library are no longer met, and the human body correction weight library is updated to the human body weight library.

[0175] When the temperature range of any part of the body does not fall within the preset normal temperature range, it means that the body temperature of at least one part is still outside the reference range, and the corrected weight library continues to be effective.

[0176] Based on the same inventive concept, embodiments of the present invention provide a child body temperature monitoring system.

[0177] A child body temperature monitoring system, comprising: The acquisition module is used to acquire the strap features, the first strap image, the output time, the current time, the interference source, and the switch signal; A memory for storing a program for a method of monitoring a child's body temperature; The processor stores a computer program that can be loaded and executed to monitor a child's body temperature.

[0178] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0179] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for monitoring a child's body temperature, characterized in that, include: Step 1: Obtain the strap characteristics of the temperature-sensitive headband worn by the child; Step 2: Match and identify the temperature-changing strap area in the monitoring image captured by the preset camera based on the strap features; Step 3: Compare the area covered by the strap with the interference radiation area in the preset interference source map; Step 30: If the strapping area does not overlap with the interference radiation area, extract the temperature change color from the temperature-changing strap in the monitoring image, find the corresponding temperature range in the preset color temperature table based on the temperature change color, and output it. Step 31: If the strapping area overlaps with the interference radiation area, find the location of the interference source corresponding to the interference radiation area that overlaps with the strapping area in the interference source map. Step 4: Extract the center point of the strap from the strap area, and calculate the direction of the line connecting the center point of the strap and the location of the interference source; Step 5: Calculate the vertical dividing line that passes through the center point of the strap and is perpendicular to the direction of the connecting line based on the direction of the connecting line and the center point of the strap. Step 6: Based on the vertical dividing line, obtain the first strap area on the side of the temperature-changing strap away from the interference source; Step 7: Obtain the first strap image of the first strap area and extract the temperature-changing color of the temperature-changing strap in the first strap image. Find the corresponding temperature range in the preset color temperature table according to the temperature-changing color and output it.

2. The method for monitoring a child's body temperature according to claim 1, characterized in that, Also includes: Step 70: Define the binding area that does not overlap with the interference radiation area and the first binding area as effective areas; Step 71: Count the number of valid regions identified; Step 72: When the number of regions is greater than 1, identify the human body parts worn in each effective region according to the preset human body part features, and extract the temperature-changing color of the temperature-changing strap corresponding to the human body part. Step 73: Find the corresponding temperature range for each body part in the color temperature table based on the color change of the corresponding body part; Step 74: Find the corresponding body part weights based on the preset human body weight database; Step 75: Find the upper and lower limits of the temperature range for each part based on the temperature range of the part, and calculate the weighted average according to the corresponding part weight to obtain the comprehensive upper limit and comprehensive lower limit. Step 76: Combine the upper limit value and the lower limit value to form a temperature range and output it.

3. The method for monitoring a child's body temperature according to claim 2, characterized in that, Also includes: Step 700: Obtain the output time of the temperature range and the current time; Step 701: Plot the temperature change curve based on the temperature range and the corresponding output time; Step 702: Calculate the rate of temperature change at the current time based on the temperature change curve; Step 703: If the temperature change rate falls into the preset cooling change rate threshold, and the temperature range at the current time falls into the preset normal temperature range, then the temperature range at the current time is taken as the reference temperature range. Step 704: Continuously monitor the temperature range after the current time; Step 705: If the temperature change range is greater than the reference temperature range, execute the preset adjustment and monitoring scheme.

4. The method for monitoring a child's body temperature according to claim 3, characterized in that, The methods for implementing the preset adjustment monitoring plan include: Step 7050: Compare the temperature ranges of each part to obtain the difference between the temperature ranges of each part; Step 7051: If the difference in the range of body parts is greater than the preset difference threshold for body parts, then update the human body weight library to the preset human body correction weight library. Step 7052: Find the corresponding correction weights for human body parts based on the human body correction weight library; Step 7053: Calculate the corrected temperature range by performing a weighted average based on the temperature range of the affected area and the corresponding correction weight, and then output the corrected temperature range.

5. A method for monitoring a child's body temperature according to claim 2, characterized in that, It also includes a method for obtaining an effective area if the strapping area overlaps with multiple interfering radiation areas, the method comprising: Step 310: Organize multiple interfering radiation regions that overlap with the strap area into an interfering radiation sequence; Step 311: Based on the interference radiation sequence, find multiple corresponding interference source locations in the interference source map and form an interference source location sequence; Step 312: Based on the sequence of interference source locations, execute steps 4 to 6 sequentially to obtain the first strapping area corresponding to each interference source location; Step 313: Perform an intersection operation on each of the first strap regions to obtain the intersection region; Step 314: If an intersection region exists, define the binding region and the intersection region that do not overlap with the interference radiation region as valid regions and output them; Step 315: If the intersection region does not exist, define the binding region that does not overlap with the interference radiation region as the valid region and output it.

6. A method for monitoring a child's body temperature according to claim 1, characterized in that, It also includes a method for determining the area of ​​interference radiation, the method comprising: Step 300: Obtain the interference source corresponding to the interference radiation area; Step 301: If the interference source does not fall into the preset electrical appliance category, then output the interference radiation area corresponding to the interference source; Step 302: If the interference source falls into the preset electrical appliance category, then obtain the switching signal of the interference source; Step 303: When the switch signal is in the preset on state, the interference radiation area corresponding to the interference source will be output; Step 304: When the switch signal is in the preset off state, the interference radiation area corresponding to the corresponding interference source will not be output.

7. A method for monitoring a child's body temperature according to claim 6, characterized in that, Also includes: Step 305: Identify individuals who are not wearing temperature-sensitive straps based on monitoring images and strap features; Step 306: Calculate the distance between the strapping area and the person; Step 307: If the distance between people is less than the preset distance threshold, then define the people as a dynamic interference source; Step 308: Calculate the dynamic radiation area of ​​the dynamic interference source based on the dynamic interference source and the preset personnel radiation area; Step 309: Output the dynamic radiation area as the interference radiation area.

8. A method for monitoring a child's body temperature according to claim 3, characterized in that, Methods for continuously monitoring the temperature range after the current time include: Step 7040: Identify the strapping area based on the monitoring image; Step 7041: If the strap area changes, accumulate the duration of the change, and calculate the movement distance of the temperature-sensitive strap based on the strap area; Step 7042: Calculate the movement rate based on the change duration and movement distance; Step 7043: When the moving speed is greater than the preset stationary speed, the corresponding correction value is searched in the preset moving temperature correction library according to the moving speed. Step 7044: Update the temperature range by correcting the temperature range according to the correction value.

9. A method for monitoring a child's body temperature according to claim 4, characterized in that, It also includes a method for correcting the temperature range output, which includes: Step 70530: Continuously find the corresponding temperature range of each part of the human body in the color temperature table according to the temperature change color of each part, and calculate the difference between the temperature ranges of each part. Step 70531: If the difference in the range of body parts is not greater than the difference threshold of body parts, then update the human body correction weight library to the human body weight library; Step 70532: When the temperature range of each part falls within the preset normal temperature range, the human body correction weight library is updated to the human body weight library.

10. A child body temperature monitoring system, characterized in that, include: The acquisition module is used to acquire the strap features, the first strap image, the output time, the current time, the interference source, and the switch signal; A memory for storing a program for a child's body temperature monitoring method as described in any one of claims 1 to 9; The processor loads and executes programs from memory.

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