The Design And Implementation Of Information Supervision Software In Intelligent Elder-care System

Facing the increasing serious issue of population aging,as a new elder-care system with the modern information technology,the intelligent elder-care system has effectively relieved the contradiction of the demand and supply and the conflict between the pension patterns.As a vital part of the intelligent elder-care system,information supervision software is employed to do service operation and information supervision of the entire system.With the help of the coordination of the software,user can provide the the full service and deep-level guardianship for the elderly.However,in the information supervision area of the current intelligent elder-care system,the ability to analyze the data on the latent abnormality of elderly people living alone is generally lacking.These abnormalities of elderly people living alone are often the precursors for illness or dangers,and close attention should be paid.Using the method of time series analysis,this thesis explored the behavior pattern of the elderly living alone,identified the latent abnormal behavior,while achieved the design of such method in term of programming.The thesis makes up for the deficiency of the present information supervision software.Firstly,the thesis summarized the research background and current development at home and aboard,analyzed the overall structure of the intelligent elder-care system,and raised the key point of this thesis: information supervision software.Combining with the actual requirements,the overall development plan based on B/S architecture software was designed.Using the concept of split-level design,the system structure of software was divided into three layers: User Interface Layer,Business Logic Layer and Data Service Layer.Secondly,to improve the deficiencies in the current system,the theoretical research on recognition algorithm of the latent abnormal behavior of the elderly living alone was completed.Based on the method of time series analysis,this algorithm can determine whether the elderly living alone had latent abnormal behavior,by analyzing and predicting the behavior duration series of the elderly living alone,and then discerning the difference between prediction and actual value.At the same time,the law of the elderly behavior was gained by on-site research.Besides,the two key factors: weather and missing data processing were introduced.The method of adaptive filter was used as the prediction model,and the method of parameter selection of which was improved.Thirdly,the designs of software's function modules and database were completed according to requirements analysis.The detailed discerning algorithm of the latent abnormal behavior and the role-based access control technology were expounded.Besides,the thesis particularly expounded the four important functional modules,real-time location,life service,emergency event and healthcare.Finally,the accuracy and reliability of the information supervision software were validated.The results of functional test and performance test were elaborated in the thesis.The results showed that the information supervision software met the project's demand,and achieved the expected goal.