CN-121980172-A - Monitoring data analysis method, device, computer equipment and readable storage medium

CN121980172ACN 121980172 ACN121980172 ACN 121980172ACN-121980172-A

Abstract

The application relates to a monitoring data analysis method, a monitoring data analysis device, computer equipment and a readable storage medium. The method comprises the steps of obtaining basic information of a user and historical monitoring data of at least two index types, inputting the historical monitoring data of the target index type and the historical monitoring data of other index types into a target joint information model for classification according to any one of the historical monitoring data of the at least two index types to obtain classification results corresponding to the historical monitoring data of the at least two index types, inputting the classification results corresponding to the basic information, the historical monitoring data of the at least two index types and the historical monitoring data of the at least two index types into an analysis model based on preset user requirements, and outputting data analysis results corresponding to the preset user requirements. By adopting the method, the analysis accuracy of the monitoring data can be improved.

Inventors

Zhu Yanxiong
ZHU LIN
ZHAO YAN
WANG NAN
ZHU YANSHENG
XU XIAOKAI

Assignees

深圳市爱都科技有限公司

Dates

Publication Date: 20260505
Application Date: 20251231

Claims (10)

1. A method of monitoring data analysis, the method comprising: acquiring basic information of a user and historical monitoring data of at least two index types; For any one target index type of the at least two index type of history monitoring data, inputting the target index type of history monitoring data and other index type of history monitoring data into a target joint information model for classification to obtain classification results corresponding to the at least two index type of history monitoring data; Based on preset user demands, inputting the basic information, the classification results corresponding to the historical monitoring data of the at least two index types and the historical monitoring data of the at least two index types into an analysis model, and outputting data analysis results corresponding to the preset user demands.
2. The method of claim 1, wherein the inputting the historical monitoring data of the target index type and the historical monitoring data of other index types into the target joint information model for classification, to obtain classification results corresponding to the historical monitoring data of the at least two index types, includes: Inputting the historical monitoring data of the target index type into a corresponding index pre-classification model to obtain a pre-classification result corresponding to the historical monitoring data of the target index type; And inputting the pre-classification result corresponding to the historical monitoring data of the target index type and the historical monitoring data of other index types into a target joint information model for classification to obtain classification results corresponding to the historical monitoring data of at least two index types.
3. The method according to claim 1, wherein the method further comprises: performing standardization processing on the historical monitoring data of the at least two index types to obtain the standardized historical monitoring data of the at least two index types, wherein the standardization processing comprises at least one of average value processing, standard deviation processing and variance processing; the step of inputting the historical monitoring data of the target index type and the historical monitoring data of other index types into a target joint information model for classification to obtain classification results corresponding to the historical monitoring data of at least two index types, comprises the following steps: and inputting the standardized historical monitoring data of the target index type and the standardized historical monitoring data of other index types into a target joint information model for classification to obtain classification results corresponding to the historical monitoring data of at least two index types.
4. A method according to claim 3, characterized in that the method further comprises: Classifying the users according to the basic information to obtain user types; Determining historical monitoring data of at least two index types after the standardized processing, and determining index levels under the user types; The step of inputting the basic information, the classification result corresponding to the at least two index type historical monitoring data and the at least two index type historical monitoring data into an analysis model based on the preset user demand, and outputting a data analysis result corresponding to the preset user demand, includes: Based on the preset user demand, inputting the index grade under the user type, the classification result corresponding to the historical monitoring data of the at least two index types and the historical monitoring data of the at least two index types into an analysis model, and outputting a data analysis result corresponding to the preset user demand.
5. The method of claim 1, wherein the analysis model comprises a data analysis network and a suggestion network, the inputting the basic information, the classification result corresponding to the at least two index types of historical monitoring data and the at least two index types of historical monitoring data into the analysis model based on the preset user requirement, and outputting the data analysis result corresponding to the preset user requirement comprises: based on the preset user demand, inputting the basic information, the classification result corresponding to the historical monitoring data of the at least two index types and the historical monitoring data of the at least two index types into the data analysis network, and outputting a data analysis result corresponding to the preset user demand; based on the preset user demand, inputting the basic information, the classification result corresponding to the historical monitoring data of the at least two index types and the historical monitoring data of the at least two index types into the suggestion network, and outputting an improvement suggestion result corresponding to the preset user demand.
6. The method according to any one of claims 1-5, further comprising: performing text verification on the data analysis result to obtain a text verification result; and if the text verification result does not meet the preset verification requirement, returning to execute the step of inputting the basic information, the classification result corresponding to the at least two index type historical monitoring data and the at least two index type historical monitoring data into an analysis model based on the preset user requirement, and outputting a data analysis result corresponding to the preset user requirement.
7. The method of claim 6, wherein the method further comprises: And if the text verification result meets the preset verification requirement, generating prompt information, wherein the prompt information comprises lamplight information, voice information or graphical information, and the prompt information is used for prompting the user to perform corresponding operation.
8. A monitoring data analysis device, the device comprising: the acquisition module is used for acquiring basic information of a user and historical monitoring data of at least two index types; The classification module is used for inputting the historical monitoring data of the target index type and the historical monitoring data of other index types into a target joint information model for classification aiming at the historical monitoring data of any one target index type in the historical monitoring data of at least two index types to obtain classification results corresponding to the historical monitoring data of the at least two index types; the output module is used for inputting the basic information, the classification results corresponding to the historical monitoring data of the at least two index types and the historical monitoring data of the at least two index types into an analysis model based on preset user demands, and outputting data analysis results corresponding to the preset user demands.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.

Description

Monitoring data analysis method, device, computer equipment and readable storage medium Technical Field The present application relates to the field of wearable devices, and in particular, to a method and apparatus for analyzing monitoring data, a computer device, and a readable storage medium. Background Along with the continuous promotion of the importance of people on physical health, disease prevention and scientific exercise management, intelligent wearable equipment with all-weather health monitoring and omnibearing exercise data tracking functions has become the primary choice of the masses. Currently, wearable devices on the market such as smart watches or rings generally have heart rate measurement, pressure measurement, blood oxygen measurement, sleep monitoring, HRV measurement, respiratory rate measurement, blood pressure measurement and other functions, and provide activity indexes such as step count, middle and high intensity exercise/exercise duration, calories, standing/walking and the like. But for the subsequent processing of the monitoring index, the processing mode of the single monitoring index is still remained. However, the conventional analysis method of monitoring data has a problem of low accuracy. Disclosure of Invention In view of the foregoing, it is desirable to provide a monitoring data analysis method, apparatus, computer device, readable storage medium, and program product that can improve the analysis accuracy of monitoring data. In a first aspect, the present application provides a method for analyzing monitoring data, comprising: acquiring basic information of a user and historical monitoring data of at least two index types; For any one target index type of the at least two index type of history monitoring data, inputting the target index type of history monitoring data and other index type of history monitoring data into a target joint information model for classification to obtain classification results corresponding to the at least two index type of history monitoring data; Based on the preset user demand, inputting basic information, classification results corresponding to the historical monitoring data of at least two index types and the historical monitoring data of at least two index types into an analysis model, and outputting a data analysis result corresponding to the preset user demand. In one embodiment, the inputting the historical monitoring data of the target index type and the historical monitoring data of other index types into the target joint information model to classify, to obtain classification results corresponding to the historical monitoring data of at least two index types, includes: inputting the historical monitoring data of the target index type into a corresponding index pre-classification model to obtain a pre-classification result corresponding to the historical monitoring data of the target index type; and inputting the pre-classification result corresponding to the historical monitoring data of the target index type and the historical monitoring data of other index types into the target joint information model for classification to obtain classification results corresponding to the historical monitoring data of at least two index types. In one embodiment, the method further comprises: Performing standardization processing on the historical monitoring data of at least two index types to obtain the historical monitoring data of at least two index types after the standardization processing, wherein the standardization processing comprises at least one of average value processing, standard deviation processing and variance processing; The method comprises the steps of inputting historical monitoring data of a target index type and historical monitoring data of other index types into a target joint information model for classification, and obtaining classification results corresponding to the historical monitoring data of at least two index types, wherein the classification results comprise: And inputting the standardized historical monitoring data of the target index type and the standardized historical monitoring data of other index types into the target joint information model for classification, and obtaining classification results corresponding to the historical monitoring data of at least two index types. In one embodiment, the method further comprises: classifying the users according to the basic information to obtain user types; determining historical monitoring data of at least two index types after standardized processing, and determining index levels under the user types; based on preset user demands, inputting basic information, classification results corresponding to the historical monitoring data of at least two index types and the historical monitoring data of at least two index types into an analysis model, and outputting data analysis results corresponding to the preset user demands, wherein the data analysis results comprise