Design Of Wheelchair Outdoor Monitoring System Based On Fuzzy Inference

Nowadays,with the rapid development of the Internet of things technology,the application of the Internet of things is also increasing.And it is constantly popularized in the fields of industry,transportation,medical treatment,retail,etc.At the same time,the aging of China’s population is becoming more and more serious,the number of disabled people is increasing year by year.The increasing demand for wheelchairs and other travel tools for the elderly has also attracted social attention,the elderly travel safety problem has become an urgent problem to be solved.As the main means of transportation for the elderly,wheelchair plays an important role in their daily life.Aiming at the safety problem of elderly people travelling in wheelchairs,this paper combines Internet of things technology,embedded technology and sensor technology to build a remote security monitoring system for real-time perception and data transmission on wheelchairs.It uses the sensor to monitor the status of wheelchairs in real time to map the status of users,and sends positioning information,wheelchair riding status and other relevant information to the One NET cloud platform to realize the safety monitoring of elderly people travelling in wheelchairs.The main contents of this paper are as follows:First,combining with the intelligent wheelchair and remote security monitoring system development present situation,analyze the system requirements,design and develop the whole system solutions.It realizes the functions such as dangerous sitting position reminder,language reminder for sitting too long,alarm for turning over in wheelchair,one-button emergency call for guardian,location and historical track inquiry.The whole system includes the integration of hardware circuits and the preparation of control and communication programs.Secondly,analyze the old man in a wheelchair out of daily behavior and collect kinematics data of each behavior.The system extracts acceleration signal amplitude vector(SMV),angular velocity signal amplitude vector(GSMV)and attitude angle(Angle)as eigenvalues,and calculates the risk coefficient based on fuzzy reasoning.Then,according to the degree of risk coefficient to decide whether to carry out language reminder or alarm.At the same time,MATLAB is used to simulate and debug the fuzzy reasoning system to ensure the feasibility,continuity and stability of the algorithm.Finally,we test and analyze the performance,stability,response time and energy consumption of the whole system.The results show that all functions are stable and reliable.it is not only easy to operate but also practical,which effectively improves the safety and convenience of the elderly in wheelchairs.This paper combines remote monitoring with the research and development of intelligent wheelchair,which provides a new possibility for intelligent elderly care in the era of Internet of Things.