System for intelligent central monitoring and alarming of body temperature

A system for intelligent central monitoring and alarming of a body temperature, comprising:

• an intelligent wearable body temperature monitoring device, wherein the intelligent wearable body temperature monitoring device is configured to extract a first body temperature sensor in distributed body temperature sensors, and obtain a first real-time body temperature of a target user through the first body temperature sensor, wherein the first real-time body temperature corresponds to a first human body part of the target user;
• a data transmission module, wherein the data transmission module is configured to invoke a predetermined transmission strategy, and transmit the first real-time body temperature to a data processing center according to the predetermined transmission strategy;
• a central management platform, wherein the central management platform is configured to activate a predetermined data calibration mechanism in an internal memory in the data processing center, and calibrate the first real-time body temperature according to the predetermined data calibration mechanism, so as to obtain a first effective real-time body temperature;
• and
• an information display device, wherein the information display device is configured to display the first effective real-time body temperature in a visualized manner, wherein
• the central management platform further comprises an individual feature information obtaining module, wherein the individual feature information obtaining module is configured to obtain target multidimensional individual feature information of the target user;
• an environmental feature information obtaining module, wherein the environmental feature information obtaining module is configured to obtain target multidimensional environmental feature information of the target user;
• and
• a real-time body temperature calibration module, wherein the real-time body temperature calibration module is configured to calibrate the first real-time body temperature based on the predetermined data calibration mechanism in combination with the target multidimensional individual feature information and the target multidimensional environmental feature information, so as to obtain the first effective real-time body temperature, wherein
• the target multidimensional individual feature information comprises feature information of a target individual basic dimension, a target individual physiological state dimension, and a target individual psychological state dimension, the target individual basic dimension at least comprises an individual age and an individual gender, the target individual physiological state dimension at least comprises a physical activity, a disease state, an endocrine condition, a diet and drug condition, and a sleep state, and the target individual psychological state dimension at least comprises an emotional fluctuation and a biological rhythm;
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• the target multidimensional environmental feature information comprises an external temperature, an external humidity, and an external air pressure;
• the central management platform further comprises a standard extraction module, wherein the standard extraction module is configured to sequentially extract a predetermined individual standard and a predetermined environmental standard in the predetermined data calibration mechanism;
• a plan reading module, wherein the plan reading module is configured to read a feature vectorization plan;
• a first vectorization module, wherein the first vectorization module is configured to sequentially perform vectorization on the predetermined individual standard and the target multidimensional individual feature information according to the feature vectorization plan, so as to obtain an individual standard vector and a target individual vector respectively;
• a second vectorization module, wherein the second vectorization module is configured to sequentially perform vectorization on the predetermined environmental standard and the target multidimensional environmental feature information according to the feature vectorization plan, so as to obtain an environmental standard vector and a target environmental vector respectively;
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• a real-time body temperature weighted-calibration module, wherein the real-time body temperature weighted-calibration module is configured to perform weighted calibration on the first real-time body temperature with an individual similarity coefficient between the individual standard vector and the target individual vector and an environmental similarity coefficient between the environmental standard vector and the target environmental vector as weights, so as to obtain the first effective real-time body temperature;
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• the central management platform further comprises a first similarity calculation module, wherein the first similarity calculation module is configured to calculate a similarity between the individual standard vector and the target individual vector through a cosine similarity principle, so as to obtain a first similarity;
• a second similarity calculation module, wherein the second similarity calculation module is configured to count a vector consistency number of the individual standard vector and the target individual vector, obtain a ratio of the vector consistency number to a total vector number, and record the ratio as a second similarity;
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• an individual similarity coefficient obtaining module, wherein the individual similarity coefficient obtaining module is configured to take an average value of the first similarity and the second similarity, and record the average value as the individual similarity coefficient.