Software Development of Intelligent Pension Monitoring System Based on Ant Colony Optimization Algorithm

Abstract

AbstractSince the 21st century, the problem of China’s population aging has intensified, and accelerating the development of aging industries to ease social pressure has become an important issue to be solved in China. The development of the intelligent elderly care industry has shared the demand pressure faced by nursing homes to a certain extent. Therefore, in a Chinese society where the economy is developing rapidly, people’s consumption level is rising, and the problem of population aging is increasingly prominent, the intelligent elderly care monitoring system has received increasing attention. The purpose of this paper is to study the software development of intelligent elderly care monitoring system based on ant colony optimization algorithm. This article analyzes the functional requirements of the intelligent elderly care monitoring system based on the ant colony optimization algorithm, introduces the key functional modules of the software, and explains the overall system architecture. This article debugs and tests the functions of the system “blood oxygen saturation test” and “old man fall detection” to complete the system reliability test. In the experiment, the results measured by the blood oxygen saturation detection module of the system are compared with the oxygen saturation measured by the traditional blood oxygen detector. The maximum relative error between the two is 1.13%, and the minimum relative error is 0. It is visible that this blood oxygen saturation test module of the system has high test accuracy and has reached the design goal of the system.KeywordsSmart elderly careAnt colony algorithmSmart elderly care monitoringEnvironmental monitoring