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Research On Intelligent Early Warning Technology Of Empty-nest Elderly Home Security Based On Case-based Reasoning

Posted on:2018-04-28Degree:MasterType:Thesis
Country:ChinaCandidate:J B WeiFull Text:PDF
GTID:2428330545482323Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the development of economy and improvement of health care,our country has entered in the aging society and will remain so for a long time.In cities,the proportion of "empty-nest families" is about half of the total family.The proportion of"empty-nest households" in rural areas has risen faster than in cities.In solitary life,empty nesters have to face all kinds of security problems,such as falling down accidentally,failing to ask someone for help when the disease breaks out,as well as accidents in bath and cooking may bring danger to the empty nesters.It has the great significance to effectively monitor endowment risk of nester in the empty-nest family which can alleviate the burden on society and family.On the basis of research on products and technology of the existing household care,home endowment service system,and living conditions of empty nesters,this paper carried on the thorough research for risk early warning model of empty nest elderly based on case-based reasoning technology,and conducted the following research work:First of all,the author obtain information by collecting relevant literatures based on case reasoning techniques to fully understand the latest developments of case reasoning techniques.To carry out research,analysis,design,development system and simulation experiment with purposeful,planned and systematic activities.Second,to research and build three layers framework model based on sensors,communications and data processing layer,to sum up case characteristics by research the action habit characteristics of the old people who live alone and using case-based reasoning technology,so that the case is represented as a data structure that contains a time-space scenario through analyzing the characteristic of case,at the same time,real-time detect the unsafe situation by using similarity algorithm among cases to learn daily habits of empty nest elderly in order to determine whether the current time is in the unsafe condition.Finally,to develop program system modeling,to improve the correlative system parameters and test the accuracy of system identification through simulation experiment and training data.
Keywords/Search Tags:empty nesters, endowment risk, case-based reasoning, intelligent early warning technology
PDF Full Text Request
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