Design Of Family Intelligent Water-saving System Based On Hierarchical Response Mechanism

With the rapid development of the global economy and the rapid growth of the population,the use of global freshwater is increasing year by year.According to the United Nations,half the world's population will live in the area of water shortage by the year 2025.China,as a country with severe drought,the per capita possession of fresh water only accounts for 1/4 of the world average.The severe crisis of water shortage has affected the sustainable development of our country.In order to alleviate the severe water situation,it is necessary to take scientific and effective water saving measures.According to the survey,more than one-third of the city's total use,residents' domestic water consumption has reached 35%.Moreover,it's obvious that the national water saving consciousness still need to be improved A large amount of the living water is wasted every year because of the residents' bad water habits.Tough the government encouraged people to recycle water,the measure didn't receive the desired results.Thus,a family intelligent water saving system based on hierarchical response mechanism is designed.On the basis of hierarchical response,the system combines ZigBee wireless network and Android intelligent platform to realize a real-time monitoring of home water data and a remote control of water use equipment.The sensor collects the user's water data,and receives data through the ZigBee wireless networking.As the brain of the whole system,the server will process and analyze the water data from the terminal nodes according to the hierarchical response mechanism proposed in this paper,and select the different response levels according to the different analysis results.Different control measures are adopted,and the RBF neural network is used to optimize the grading response mechanism,so as to achieve the best water-saving effect.The main contents and innovations of this paper are as follows:(1)Based on the needs of the subject,the author designs and builds a set of demonstration platforms for water saving experiment of family intelligence,and uses ZigBee technology as the bottom hardware data wireless communication technology.What's more,the writer also designs and writes the host computer software and the Android mobile APP to monitor home water data remotely.(2)Creatively,the hierarchical response mechanism is applied to the family watersaving.Through the research and analysis,a set of scientific classification mechanism for domestic water using is designed and applied to the demonstration platform.(3)The RBF neural network is used to optimize the defects of the hierarchical response mechanism proposed in this paper,so that the whole family intelligent water saving system will be more practical and more humanized.At the end of this paper,through the system test results and case analysis,it demonstrates that both the hardware and the software of this platform can operate sensitively and effectively.This set of household intelligent water saving system can play a more obvious effect on saving home water.