53 results about "Body surface temperature" patented technology

The invention relates to the technical field of intelligent glasses, and discloses an intelligent glasses wearing identification method based on multi-modal perception, and the method comprises the steps: collecting the capacitance change rate, the facial contour matching degree, the body surface temperature, the vital signs, the head attitude angle and other multi-source feature data in real time, generating five groups of feature data, and carrying out the standardization processing and weight fusion, forming a comprehensive feature vector; calculating a preliminary confidence score by combining a dynamic weight adjustment mechanism and a rule engine, and correcting a deviation caused by head movement; judging a wearing state according to the corrected confidence score, outputting a label, and realizing function control in linkage with a gesture interaction module; the abnormal state triggers local or cloud alarm; the sampling frequency of the sensor is dynamically adjusted according to the wearing state, the frequency is reduced to 1Hz when the sensor is not worn, the frequency is improved to 10Hz when the sensor is worn so as to enhance the response precision, and the decision process is only triggered when the feature is suddenly changed in combination with an event-driven strategy. According to the invention, the precision and the reliability can be improved, and low-power-consumption design is realized.

The invention relates to the technical field of temperature monitoring, in particular to a severe pneumonia patient body surface temperature distribution monitoring method based on thermal imaging. The method comprises the following steps: solving a dynamic deformation field of the body surface of a patient relative to a standard three-dimensional body surface model through a minimized deformation energy function, and generating an initial monitoring area by using the dynamic deformation field and an internal parameter matrix of a thermal imager; an active contour model is adopted to optimize the boundary of the initial monitoring area, and a self-adaptive optimization monitoring area matched with the current temperature distribution characteristics is generated; if the credibility of the temperature feature vector is low, the temperature feature vector is compensated in combination with vascular active drug infusion information, and a pathophysiological residual feature sequence is obtained. According to the method, an initial monitoring area capable of tracking a target anatomical structure in real time is generated, the spatial consistency and anatomical accuracy of data acquisition are ensured, and a temperature feature sequence for precise time sequence analysis can be generated.

The invention discloses a comprehensive test system and method for clothing radiation and convection heat dissipation mechanism research, and belongs to the technical field of clothing thermal performance tests.The comprehensive test system comprises a thermal dummy model, an environment control module, a data acquisition module and a signal processing module, and the thermal dummy model simulates human physiological characteristics according to requirements to adjust the body surface temperature; the partitioned thermal control units are used for independently controlling the temperature of a trunk and four limbs; the environment control module comprises a wind tunnel system and a temperature and humidity bin. The data acquisition module is composed of an infrared thermal imager array and a thermopile sensor group embedded into the surface of the dummy; the signal processing module is integrated with a multi-channel data synchronizer and an intelligent algorithm unit, the time synchronization precision of the multi-channel data synchronizer is smaller than or equal to 1ms, and the multi-channel data synchronizer is used for dynamically separating the radiation heat dissipation amount Qrad and the convection heat dissipation amount Qconv. According to the invention, multi-parameter synchronous measurement is adopted, information acquisition mechanisms such as infrared, thermopile and micro differential pressure sensors are integrated, and accurate separation of radiation and convection heat dissipation is realized.

The invention discloses an operation body temperature intelligent management method based on multi-zone temperature dynamic regulation and control, which comprises the following steps: a patient lies on a nano flexible heating film, biosensors are mounted on the head, limbs and trunk, physiological indexes of heart rate, blood pressure and skin conductance are monitored in real time, and the association between the physiological indexes and body temperature fluctuation is analyzed through AI; a neural network prediction model is constructed, and a personalized body temperature threshold value is set in combination with body surface temperature distribution monitored by infrared thermal imaging; dynamically adjusting the temperature of the heating film according to the prediction result, analyzing the relationship between the body temperature change trend and the temperature of the heating film, and setting a temperature alarm threshold value per unit time for judging whether additional auxiliary equipment is needed to remind medical personnel or not; through multi-area temperature dynamic regulation and control, the problems that a monitoring method is lagged, regulation and control measures are lack of accuracy and individuation, and a comprehensive management system is lack in traditional operation body temperature management are solved, and the accuracy, effectiveness and safety of operation body temperature management are remarkably improved.

The invention relates to the technical field of diving suit detection, and discloses a high-pressure diving suit detection device and method, and the device comprises the following steps: a high-pressure simulation cabin which is used for simulating the high-pressure environment of a deep sea, and providing the testing conditions of a diving suit under different depth pressures; the warm dummy simulates a human body and can heat different parts of the dummy in an underwater high-pressure environment, so that real-time visualization of body surface temperatures of all the parts of the human body in the underwater high-pressure environment is achieved, temperature control data can be recorded in real time, and a diving suit in detection can be worn on the warm dummy in real time; and the temperature control system simulates the heat distribution and heat loss rule of the human body by adjusting the temperature of each part of the thermal dummy. Multi-dimensional environmental parameters including pressure, temperature and humidity can be simulated through the high-pressure simulation cabin, so that the actual working state of the diving suit in the deep sea can be effectively represented, comprehensive test conditions are provided, the test result is close to the real use situation, and the reliability and safety of the diving suit in the extreme environment are ensured.

The invention relates to a body temperature regulation and control system, which comprises a body temperature regulation module, a body temperature monitoring module, a dynamic regulation module, a simulation module, an intelligent control module and an information collection module, and is characterized in that the intelligent control module receives real-time data of the body temperature monitoring module, sends a preliminary control instruction to the body temperature regulation module based on a preset algorithm, and sends the preliminary control instruction to the information collection module; an instruction of the dynamic adjustment module and prediction data of the simulation module are received, follow-up control commands and simulation modules are dynamically adjusted in real time according to the predicted human body temperature change trend and dynamic adjustment requirements, an individualized human body temperature distribution simulation model can be dynamically constructed and updated, and according to a target body temperature track provided by the dynamic adjustment module, the human body temperature distribution simulation model can be dynamically adjusted. The human body temperature distribution simulation model simulates and predicts human body core temperature and body surface temperature distribution change in a future period of time, and feeds back a prediction result to the dynamic adjustment module and the intelligent control module; the system has the advantage of ensuring accurate body temperature management.

The invention relates to the field of medical data processing, in particular to a clinical evaluation and prediction method and system for exhaled gas and percutaneous carbon dioxide monitoring, and the method comprises the steps: determining a target skin area for implementing percutaneous carbon dioxide monitoring according to the body surface temperature data of a target object; according to the percutaneous carbon dioxide partial pressure of the target skin area, obtaining percutaneous carbon dioxide release characteristics; acquiring a relative change relationship between the percutaneous partial pressure of carbon dioxide and the exhaled gas partial pressure of carbon dioxide, and estimating energy metabolism characteristics in combination with percutaneous carbon dioxide release characteristics so as to construct a metabolism model matched with a target object and predict a disease risk change trend; evaluating and screening clinical detection data, and generating a disease risk evaluation result. By comparing and analyzing exhaled air and percutaneous carbon dioxide partial pressure data, the real body state can be comprehensively reflected, the potential health risk of a patient can be quickly predicted and evaluated, and the disease risk evaluation credibility can be improved.

The invention discloses a physical training load regulation and control method and system based on self-adaptive physiological coupling, and the method comprises the steps: collecting an electrocardiosignal, a light volume pulse signal, a respiration signal, a surface electromyographic signal and a body surface temperature signal, and generating a multimode sequence with a time mark; self-adaptive time alignment is executed, a timestamp graph is constructed, clock drift estimation is carried out, segmented monotonic reversible time transformation is established, and a multimode sequence is mapped to a unified time axis; reconstructing the missing section and the artifact section, establishing a mask auto-encoder with physiological priori constraints, combining time domain consistency constraints and frequency domain consistency constraints, and outputting a continuous differentiable reconstructed sequence. According to the method, by introducing adaptive time alignment, cross-modal signal reconstruction and dual-time scale state modeling, coordinated recognition and dynamic load regulation and control of multi-source physiological signals are achieved, coupling analysis in the training process is more stable, and an individual model can be continuously and adaptively updated.

The invention is suitable for the technical field of air conditioner control, and provides an air conditioner control method and an air conditioner. The method comprises the steps that body surface temperature values of human bodies in different sub-areas in a target area are collected, and environment comfort data of the different sub-areas are determined according to the body surface temperature values; fitting the environmental comfort data of the different sub-areas to obtain a comfort distribution diagram of the target area, and finally determining an air outlet strategy of the air outlet according to the comfort condition of the air outlet matching area in the comfort distribution diagram. The air outlet strategy of each air outlet is matched with the comfort degree of the area, differentiated and precise control over the multiple air outlets is achieved, and air supply on demand for different user positions or activity areas is achieved.

A human body surface temperature calculation system (200) includes: a thermal image generator (122) that generates a thermal image of a target space based on temperature distribution data indicating a temperature distribution of the target space obtained by an infrared sensor (10); an identifier (123) that identifies a person detection area (A1) using a person detection artificial intelligence (AI) (132), the person detection area (A1) being a rectangular area that includes a person visible in the thermal image; a first calculator (124) that extracts a first temperature value group corresponding to the person detection area (A1) from the temperature distribution data, and calculates, based on the first temperature value group extracted, a temperature of a background area (B1) and an average temperature of the person detection area (A1), the background area (B1) being an area that is included in the person detection area (A1) and in which a background excluding the person is visible; and a second calculator (125) that extracts a second temperature value group from the first temperature value group based on a rule determined by a magnitude relationship between the temperature of the background area (B1) calculated and the average temperature of the person detection area (A1) calculated, and calculates a surface temperature of the person based on the second temperature value group extracted.

The invention discloses wearable pain relieving equipment and a remote monitoring system thereof. The wearable pain relieving equipment comprises a multi-mode physiological sensor array, a data fusion processing module, a control module, a transcutaneous electrical stimulation output module, a communication module and the remote monitoring system. The multi-mode sensor array collects myoelectricity, skin conductance, body surface temperature, heart rate, brain oxygen and other pain related physiological parameters, the data fusion module generates a pain estimated value, the control module dynamically adjusts the stimulation intensity based on a PID + differential compensation algorithm, and the transcutaneous electrical stimulation module outputs current to intervene in pain. The communication module uploads data to a remote monitoring system, and medical staff can monitor and remotely adjust parameters in real time through a cloud platform. The system realizes real-time monitoring, intelligent control and remote intervention of pain, has the advantages of personalized treatment, data safety, expandability and the like, and is suitable for scenes of postoperative pain management, chronic neuralgia and the like.

The invention is suitable for the technical field of data identification, and provides a fat-reducing energy consumption estimation method and device, and the method comprises the steps: obtaining body basic data and environment temperature, and calculating basic metabolism parameters according to the body basic data and the environment temperature; acquiring a moving track point, a current heart rate and a body surface temperature, and matching the estimated motion state and the motion intensity in each preset time period according to the moving track point, the current heart rate and the body surface temperature; and calculating fat reduction energy consumption according to the basic metabolic parameters, the estimated motion state in each preset time period and the motion intensity in each preset time period. According to the scheme, multiple key variables and dynamic data are introduced, so that the accuracy, comprehensiveness and individuation level of energy consumption estimation are remarkably improved.

The embodiment of the invention discloses an ultrasonic image adaptive optimization method and device and electronic equipment, and relates to the technical field of ultrasonic images. And self-adaptive adjustment and optimization of imaging parameters can be realized conveniently, so that the acquisition quality of ultrasonic images is improved. The method comprises the following steps: acquiring pressure data, body surface temperature data and displacement data of an ultrasonic probe in a contact state with a human body; according to the pressure data, the body surface temperature data and the displacement data, hardware control parameters of the ultrasonic imaging system are dynamically adjusted based on a preset algorithm model; and according to the adjusted hardware control parameters, acquiring an ultrasonic image of the human tissue.

The present invention discloses a phase change-driven flexible wearable body temperature and blood pressure sensing device. The flexible auxiliary wristband and the body temperature visualization sensing skin are both sleeved on the wrist. The body temperature visualization sensing skin is used to represent different body surface temperatures. An installation cavity is provided in the middle of the flexible auxiliary wristband, and a thermochromic liquid-gas phase change flexible driver is embedded in the installation cavity of the flexible auxiliary wristband. The flexible auxiliary wristband on the side of the phase change flexible driver close to the wrist is fixedly connected to the pressure sensing module. The pressure sensing module is attached to the wrist, and the pressure sensing module is electrically connected to the processing circuit. After being energized and heated, the phase change flexible driver expands and deforms, and the phase change flexible driver presses the pressure sensing module, so that the pressure sensing module is pressed against the radial artery part of the wrist to collect pressure signals, and the processing circuit analyzes and processes the pressure signals to obtain blood pressure. The flexible wearable body temperature and blood pressure sensing device of the present invention has great application prospects in the fields of wearable equipment, health monitoring, etc.

Provided in the present application is a wearable temperature control device, comprising a housing, a temperature control main body, and a loading component, wherein the housing is provided with an air outlet facing a human body and vents facing away from the human body; the temperature control main body is provided with cavities, and pipe sections made of an elastocaloric material and media used for conducting heat are provided in the cavities; and the loading component is connected to the pipe sections, such that when stress is applied to the pipe sections, the pipe sections are deformed to generate heat, and / or, when the stress is removed from the pipe sections, the pipe sections return to their original shape to generate cooling capacity. The present application further provides a wearable article and a temperature regulator on the basis of the wearable temperature control device, and further provides a body surface temperature regulation method on the basis of the temperature regulator. The wearable temperature control device, the wearable article, the temperature regulator, and the body surface temperature regulation method provided in the present application can regulate the surface temperature of a wearer in a timely manner, so as to ensure the comfort of a user; moreover, free detachment and use can be realized, thereby preventing the impact on the movements of the wearer, and preventing difficulties in terms of cleaning clothes.

This biological data measurement device is provided with a substrate disposed at a position separated from a body surface (BS) by a predetermined distance via a support member made of a heat insulating material so as to generate an air layer between the substrate and the body surface of a living being to be measured. A thermometer including a radiation thermometer for measuring the body surface temperature and a substrate thermometer for measuring the substrate temperature of the substrate is provided on the substrate, so that the deep body temperature can be accurately measured.

The present invention discloses a control method, device, air conditioner, and storage medium for an air conditioner, relating to the technical field of air conditioners. The method comprises: upon receiving an intelligent comfortable air supply instruction, detecting whether a body surface temperature collection condition is met based on multiple collected first infrared temperature values; if the body surface temperature collection condition is met, calculating the human body surface temperature based on multiple collected second infrared temperature values ​​and the acquired ambient temperature; determining the human body temperature sensation based on the human body surface temperature and the ambient temperature, and calculating the relative angle of the human body relative to the air conditioner based on multiple collected third infrared temperature values; and adjusting the air supply parameters of the air conditioner based on the human body temperature sensation and the relative angle. The present invention improves the accuracy of air supply control for a specific person, thereby improving the comfort of the specific person.

The invention relates to the technical field of intelligent seats, and particularly discloses an intelligent seat health intervention method and system based on multi-modal physiological signal fusion, and the method comprises the steps: obtaining a physiological signal, driving time, body surface temperature and sweat amount data of a driver; on the basis of the physiological signal, the driving time and the body surface temperature data, preprocessing detection data are obtained, and to-be-detected pressure data and first preprocessing pressure data are obtained according to the sweating amount data; determining an error influence factor according to the historical characteristic data, and determining a friction force error value according to the error influence factor; determining a pressure error predicted value based on the friction force error value; and performing error compensation on the to-be-detected pressure data according to the pressure error prediction value to obtain second pre-processed pressure data, performing fatigue prediction based on the first pre-processed pressure data, the second pre-processed pressure data and the pre-processed detection data to obtain a fatigue grade result, and outputting a health intervention regulation result. And real-time health intervention on the intelligent seat is realized.

The invention relates to the technical field of child body temperature detection, and discloses an automatic child body temperature detection data processing system. The system comprises a multi-channel infrared temperature sensor array, a sliding window feature extraction module and a physical sign state decision module. The multi-channel infrared temperature sensor array is used for collecting body surface temperature time sequence data of a target child in real time; the sliding window feature extraction module performs multi-scale time domain feature analysis on the body surface temperature time sequence data to generate a basic sign feature set containing an instantaneous temperature change rate, a local temperature extreme value and a periodic fluctuation amplitude; the physical sign state decision-making module constructs a hierarchical detection state machine framework according to the basic physical sign feature set, the framework comprises a common detection state set, a high-heat early warning state set and an emergency treatment state set, and each state set is associated with different physical sign data analysis strategies. The system can realize real-time continuous monitoring of child body temperature, deeply extract body temperature characteristics, and provide an intelligent solution for child body temperature monitoring.

The utility model belongs to the field of textile fabrics, and particularly relates to an air layer fabric with a heat retention property and a body surface temperature and humidity adjusting function and clothes. The air layer fabric sequentially comprises a surface layer, a middle air layer and a skin attaching layer; wherein the surface layer comprises an acrylic fiber area and an adhesive area; the middle air layer comprises yarns; the yarns are used for connecting the surface layer and the skin attaching layer; and the skin-attaching layer comprises a polyester area. Through detection, the air layer fabric disclosed by the utility model has good air permeability, heat preservation rate, antistatic performance, moisture absorption and quick drying performance and far infrared performance, and is excellent in comprehensive performance.

The application discloses a kind of determination methods, device, wearable equipment and medium of calorie consumption, applicable to wearable equipment technical field.Ear temperature value of ear cavity collected by earphone is acquired, wherein the earphone has temperature sensing probe for being built into ear cavity;Attitude value collected by attitude sensor is acquired;Calorie consumption is determined according to attitude value and temperature value.The temperature value of ear cavity collected by earphone, so that it will not directly contact with external environment, while also can avoid contact with sweat, less affected by external environment and sweat, and then determine calorie consumption according to temperature value and attitude value, avoid the existing only through attitude value to obtain inaccurate calorie consumption, or through attitude value and body surface temperature value due to the problem that body surface temperature value is greatly affected by external environment or sweat when collecting, improve the accuracy of calorie consumption of wearable equipment, further improve the experience of user.

This invention relates to the field of air conditioning and discloses an energy-saving fresh air system and fresh air treatment method. The system includes collecting and registering age group information and historical physical condition information; constructing a human body heat demand benchmark model by combining it with preset human body heat demand parameter mapping rules; collecting historical movement trajectory data and current location information to generate high-probability activity areas; collecting indoor and outdoor ambient temperature data and current body surface temperature information at corresponding spatial nodes to construct an environmental and human body joint state dataset; generating candidate temperature range evolution paths based on the human body heat demand benchmark model, high-probability activity areas, and the environmental and human body joint state dataset, forming temperature range evolution path information; and generating a multi-node temperature collaborative control scheme by combining the mapping relationship of high-probability activity areas in spatial nodes. This invention has the advantages of improving temperature control accuracy and overall energy efficiency.

The utility model provides a quilt, and relates to the technical field of smart home. The plurality of temperature sensors are arranged at a plurality of preset positions of the quilt core at intervals, and the plurality of temperature sensors are used for monitoring temperature signals of a plurality of body parts of a human body respectively; and the output interface is electrically connected with the plurality of temperature sensors, and the output interface is used for outputting the plurality of temperature signals. The multiple temperature sensors are arranged at the multiple preset positions of the quilt core at intervals so as to monitor the temperature signals of the multiple body parts of the human body, the output interface is arranged, the output interface is electrically connected with the multiple temperature sensors so as to output the multiple temperature signals, and therefore the temperature of the human body can be monitored. Real-time collection of the body surface temperature distribution characteristics of the user can be achieved in a non-contact temperature monitoring mode, and therefore the accuracy and privacy safety of sleep behavior monitoring are improved.

The embodiment of the invention relates to a low-temperature treatment system, and the system comprises a treatment cap which comprises a protection layer, a cooling layer and a skin-attaching layer, the temperature control module is arranged between the cooling layer and the skin attaching layer; the heat exchange unit is arranged between the skin attaching layer and the temperature control module and is in contact with the temperature control module; the ice cap temperature sensor is arranged on the side, close to the cooling layer, of the skin attaching layer; a body surface temperature sensor; an anus temperature sensor; the display screen is configured to receive a target temperature control type and a target treatment type; and the controller is electrically connected with the temperature control module, the ice cap temperature sensor, the body surface temperature sensor, the anus temperature sensor and the display screen, and is configured to determine a target temperature control mode based on the target temperature control type and the target treatment type, and control the temperature control module based on the target temperature control mode. According to the low-temperature treatment system, the corresponding temperature control mode can be obtained according to the treatment type and the temperature control type of the patient, so that the temperature control module is adaptively controlled, and the accuracy of low-temperature treatment is ensured.

The application provides a human body wearing monitoring system based on traditional Chinese medicine pulse diagnosis and a use method thereof, and relates to the technical field of traditional Chinese medicine pulse diagnosis. The wearable monitoring device comprises a detection module, a data processing module and a transmission module. The application integrates three types of sensors, synchronously collects pulse waves, physiological electrical signals and body surface temperatures, monitors core physiological parameters in one station, meets daily monitoring and diagnosis data requirements, adopts differentiated ADC precision conversion for different signals, removes biological electrical noise through Kalman filtering, matches exclusive quantification or calibration formula, effectively suppresses power frequency and motion interference, and has high data precision and reliability.

The application provides a system and method for measuring core body temperature and multi-mode health parameters, and relates to the technical field of health parameter measurement of human body. The application comprises a thermoelectric device module, a multi-mode health parameter monitoring module, a measurement circuit module and a processing module. Firstly, the heat flux density and body surface temperature of the human body surface are collected by the thermoelectric device module, the heat transfer model of the human body is constructed by using the heat flux method, and the core body temperature is calculated, so that the test error is small, and the measurement accuracy of the system is improved. Secondly, the thermoelectric device module is wrapped with a thin copper sheet and a heat insulation plastic layer outside, so that the interference from the environment can be overcome, and the heat flow is guided to transfer along the thickness direction, thereby improving the anti-interference ability of the system. Finally, the multi-mode health parameter monitoring module is integrated, the sensitive and accurate monitoring of multiple health parameters is realized, the parameters are verified with each other, and the accuracy of the human health condition is ensured.

This invention relates to the field of competitive performance monitoring and prediction technology, and discloses a method and system for predicting competitive performance based on multimodal data fusion and machine learning. The system collects physiological data (such as heart rate, blood oxygen, HRV, body surface temperature, etc.), environmental data (such as temperature, humidity, air pressure), and behavioral data (such as steps, sleep structure, calorie consumption) in real time, performs feature weighted fusion using the entropy method, and evaluates competitive performance based on an LSTM-CNN hybrid neural network model. The system outputs fatigue index, stress index, recovery ability index, and exercise readiness index, enabling efficient early warning and in-depth analysis report generation, significantly improving the accuracy and real-time performance monitoring of individual athletic performance, and is applicable to sports training, health management, and competitive performance optimization.

The object of the present invention is to provide a temperature sensor unit and an internal thermometer that can be manufactured at low cost. The temperature sensor unit (1) is used to measure the deep body temperature Ti as the internal body temperature of the subject. The temperature sensor unit (1) has a first to a fourth temperature sensor (111 to 114) for measuring the body surface temperature of the subject on the measuring surface side facing the body surface of the subject. In the first and second temperature sensors (111, 112), a first thermal resistor (121) is provided only on the measuring surface side of the first temperature sensor (111). The first temperature sensor (111) and the second temperature sensor (112) are arranged close to each other so that the temperature T2' on the measuring surface side of the first thermal resistor (111) is approximately equal to the temperature T2 measured by the second temperature sensor (112).

The present invention discloses an endogenous heat measurement method based on infrared skin temperature distribution field, comprising the following steps: S1. establishing a finite element model; S2. using the finite element analysis method to simulate the relationship between the position, temperature, and thermophysical parameters of the internal heat source and the body surface temperature distribution; S3. burying the developed constant temperature adjustable heat source in a uniform layered biological tissue, using a human body temperature measurement infrared thermal imager to capture the temperature of the tissue surface and each layer of tissue, and analyzing the distribution of the surface and internal temperature fields. The present invention simulates human skin through a biological simulation body, captures the skin temperature of the biological simulation body through a medical infrared thermal imager, and transmits data through the establishment of a data transmission system to form a temperature distribution infrared thermal map, which can provide a basis for diagnosing abnormal heat sources in the body. Finally, through simulation and analysis, it can provide a theoretical basis and guiding significance for the study of the formation mechanism of human body surface temperature distribution characteristics and the inverse problem of heat sources.

The invention discloses a sheep epidemic disease control method and system based on thermal imaging, particularly relates to the technical field of body temperature monitoring in biomedical engineering, and aims to solve the problems that in the prior art, target loss and identity recognition interruption are likely to occur in sheep body temperature monitoring, and body temperature changes cannot be continuously tracked. The method comprises the following steps: collecting continuous thermal imaging sequence frames to extract body surface temperature distribution data, carrying out identity matching and tracking based on the body surface temperature distribution data in combination with behavior characteristics and spatial characteristics, constructing a time sequence body surface temperature change curve, identifying standard resting posture fragments, establishing a reference resting body temperature, and carrying out standardization processing. And comparing the standardized curve with an epidemic disease characteristic database, analyzing and identifying a temperature anomaly trend, introducing a fuzzy logic decision mechanism for grading evaluation, and judging epidemic disease risks in combination with historical data.