System and method for collecting and adjusting information of living environment of old people

Abstract

The invention discloses a system and a method for acquiring and adjusting information of a living environment of old people. The system comprises an illumination sensor, a temperature control sensor,a humidity sensor, a video monitor, an audio call and an automatic fire protection and security system. The system is connected with a core computer through a wireless network, and deep learning and adjustment are carried out on data of each sensing system through the core computer. According to the adjusted data, the space environment most suitable for living of the old people is calculated according to living habits of the old people and different seasonal changes of all time periods, and intelligent control and autonomous adjustment are achieved; the illumination sensing system is used forregulating and controlling the illumination intensity of the internal space of the elderly facility; the temperature sensing system carries out deep learning through a convolutional neural network according to seasonal differences and differences of behavior characteristics of old people. According to the system, the living space of the old people can be monitored in real time and autonomously adjusted, the happiness of living of the old people is improved, and intelligent development of elderly care facilities is promoted.

Description

technical field [0001] The invention relates to a computer neural network applied in the field of construction, in particular, it is a system and method for realizing space regulation of residential facilities for elderly people who need care. Background technique [0002] With the continuous development of my country's comprehensive strength, the problem of population aging is becoming more and more serious. According to reports, China is currently the only country in the world with an elderly population exceeding 200 million. According to data from the National Office on Aging, as of the end of 2017, there were 241 million elderly people aged 60 and above in my country, accounting for 17.3% of the total population; it is estimated that by 2025, the elderly population will exceed 300 million. Therefore, the demand for elderly care services such as life care, medical rehabilitation, and spiritual culture for the elderly must be accelerated. To provide high-quality elderly ...

AI Technical Summary

Problems solved by technology

The existing monitoring system for the elderly does not have a good way to realize real-time monitoring of the elderly and self-controlled adjustment of the living environment

In addition, it has not been ab

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