A method and system for processing security status data based on machine learning

A security state and machine learning technology, applied in the field of data processing, can solve the problem of lack of professional talents for the elderly, the insufficient level of intelligence and scientificity of the elderly care facilities, and the difficulty of standardization and personalization to meet the needs of the elderly, so as to reduce the social burden , high intelligence, and highly targeted effects

Active Publication Date: 2020-08-04
HANGZHOU SIRUI INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the improvement of living standards and the increase of life pressure, the problem of elderly care has become increasingly prominent, and the proportion of empty-nest elderly and elderly living alone has increased. Correspondingly, scientific, standardized and personalized nursing services are difficult to meet the needs of elderly care.
The lack of intelligence in elderly care facilities and the lack of professional talents have also made the issue of elderly care increasingly prominent

Method used

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  • A method and system for processing security status data based on machine learning
  • A method and system for processing security status data based on machine learning
  • A method and system for processing security status data based on machine learning

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Experimental program
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Embodiment 1

[0065] The embodiment of the present invention discloses a method for processing security status data based on machine learning, such as figure 1 As shown, the method includes:

[0066] S101. Construct a security status database, the security status database including living environment security status data, physiological security status data and basic security status data.

[0067] Specifically, the living environment safety state data, physiological safety state data and basic safety state data can be managed using three sub-databases respectively, and the safety state database is set in the cloud.

[0068] The living safety environment state data is used to comprehensively evaluate the safety state of the user's current living environment for the user. Specifically, it includes feature information of common items in life and a machine model for item identification. The machine model identifies each item in the current environment based on the feature information so as to e...

Embodiment approach

[0096] The outline description includes an outer outline description and an inner outline description, and the outer outline description includes outer outline shape description information and the outer outline fitting degree, and the outer contour fitting degree is used to describe the outer contour and the outer contour The fitting degree of the smallest circumscribing rectangle of the outer contour can be characterized by the area ratio or perimeter ratio of the outer contour to the smallest circumscribing rectangle of the outer contour.

[0097] The inner contour description includes a number of inner contours and inner contour description subsets, the number of inner contour description subsets corresponds to the number of inner contours one by one, and one inner contour description subset describes one inner contour. If the number of inner contours is 0 or indeterminate, the number of inner contour description subsets is 0.

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Abstract

The invention provides a safety state data processing method and system based on machine learning. The method includes the steps of constructing a safety state database, wherein the safety state database includes living environment safety state data, physiological safety state data and basic safety state data; updating the physiological safety state data in real time, and acquiring a first safetystate according to the physiological safety state data and the basic safety state data; acquiring the current environment of a user in real time in response to a preset environmental data collection instruction, acquiring a second safety state according to the living environment safety state data and the current environment, and sending reminder data in the second safety state to a second smart wearable terminal if the second safety state is a non-safety state. The method has the significant advantages of high intelligence and high pertinence and can provide suitable nursing service for the elderly, thereby reducing the social burden.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to a machine learning-based security state data processing method and system. Background technique [0002] With the improvement of living standards and the increase of living pressure, the problem of elderly care has become increasingly prominent, and the proportion of empty-nest elderly and elderly living alone has increased. Correspondingly, scientific, standardized and personalized nursing services are difficult to meet the needs of elderly care. The lack of intelligence in elderly care facilities and the lack of professional talents have also made the issue of elderly care increasingly prominent. [0003] The elderly living alone and the empty-nest elderly are inconvenient to move, and the cumbersome medical procedures make the daily care of the elderly more important. How to collect daily data related to the health and safety of the elderly and provide high-quality nursi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/30G16H40/67G08B21/04
CPCG08B21/0476G16H40/67G16H50/30
Inventor 奉秋林李海余金波曹纲
Owner HANGZHOU SIRUI INFORMATION TECH CO LTD
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