| Chinese water resource scheduling has changed from simply meeting water supply needs to pursuing a balance between supply and demand,ensuring water quality compliance,and taking into account the organic combination of ecological and economic benefits.The deployment of scientific and reasonable scheduling schemes and the development of smart water-saving systems are to achieve supply and demand balance,water quality compliance,and consideration.Prerequisites for ecological and economic benefit goals.Colleges and universities,as the major water users in cities,are important transport objects for municipal water supply.However,at home and abroad,the research field of domestic and foreign living water scheduling and construction of water-saving systems in colleges and universities is almost in a blank state.The traditional living water scheduling capabilities of colleges and universities are limited,cannot adapt dynamic adjustment strategies according to user needs,and lack intelligent water-saving systems for visual management and control.,resulting in serious waste of water in colleges and universities in my country.In order to improve the scheduling ability of living water in colleges and universities and develop a water-saving system that conforms to the laws of users’ water use,taking the behavioral characteristics of college users as the research object,and according to the source of living water,a "cleaning" algorithm based on the improved salps algorithm(ISSA)is proposed."Water-reclaimed water" multi-objective living water scheduling method in colleges and universities;through the demand analysis of smart water-saving systems and the design and implementation of system functions,a living water scheduling system in colleges and universities is constructed.The main research contents of this thesis are as follows:(1)Aiming at the characteristics of the periodicity of water use time and the fixedness of water use location in the behavior of users in colleges and universities,a "clean water-recycled water" living water scheduling model based on ISSA algorithm is proposed from the perspective of variable time slot(10min+50min+1h).On the basis of analyzing the behavior of users in colleges and universities,a variable time slot(10min+50min+1h)scheduling method is proposed to make targeted water allocation for the bottom and peak periods of domestic water use to achieve a balance between supply and demand of water resources,to avoid water waste or insufficient supply.At the same time,in the process of solving the model,an ISSA algorithm was designed to optimize the optimal value of the living water scheduling model,and the SPM chaotic map was introduced to increase the randomness of the population generated by the traditional salps algorithm,and added in the search process.The fitness function,adaptive operator,and circle search mechanism are used to improve the global and local search capabilities of the traditional salps algorithm.The experimental results show that,compared with the traditional salp model and particle swarm model,the ISSA model has better convergence and search capabilities in living water scheduling in colleges and universities.(2)Aiming at the problems of data information integrated management and scheduling scheme preparation in university water supply dispatching,an intelligent water-saving system for universities is built.Firstly,the data required by the smart water-saving system in colleges and universities and the classified management of the data are determined by analyzing the system requirements;Then,the detailed design scheme of the system is proposed,and the main functional modules of the intelligent water-saving system and the functional modules involved in the domestic water dispatching of colleges and universities are designed.The thesis puts forward the detailed design scheme of the system,including the overall design of the system,the design of each functional module and the database design scheme;In the overall design of the system,the functional module requirements are detailed,and the models and algorithms used in the conventional scheduling and optimization scheduling calculation process are encapsulated;In the design of each functional module,detailed design is carried out from the three dimensions of software and hardware architecture,system architecture and system functional modules;In the database design,the database tables involved are designed in detail.Finally,the university intelligent water-saving system is developed by using Flask framework,VUE framework and cloud platform technology.This system can effectively reduce water resource waste on the premise of meeting the water supply demand in different periods of time,and provide an effective operating platform for the decision-making and implementation process of universities in the scheduling management of domestic water resources. |