With the advancement of society and the continuous development of the information technology,its technical content and complexity are also getting higher and higher.In this era,intelligentization has rapidly penetrated into all walks of life and all aspects of our lives.We have constantly proposed the name of smart cities,smart transportation,intelligent hospitals,etc.,the development of smart water networks,to achieve innovation-driven,transformational development,and re-layout of new The technology industry,which drives the modern urban industry and enhances the government’s people’s livelihood service capabilities,is of great strategic significance.Building an intelligent management water supply network system with low power consumption,continuous operation,accurate prediction and resource conservation is of great significance in today’s sustainable economic development.This paper first introduces the background and development of narrow-band IoT technology,and the development and current status of urban intelligent water supply pipe network,Combined with NB-IoT communication technology and configuration processing of each peripheral module of the MCU,the power consumption of the terminal data transmission is further reduced,and the terminal has a longer standby time.In the background monitoring platform,the Delphi xe development launched by Borland Corporation of the United States is an application development tool centered on object-oriented programming.The pipe network data collected by the terminal is uploaded to the monitoring platform through NB-IOT wireless communication mode,and the data is displayed in real time,and is visually displayed to the observer in the form of a waveform diagram.The background of the system is based on the C/S architecture.The terminal needs to set the specified IP address and port number.In the background,the staff can also configure and manage the terminal.The functions of the monitoring platfonn mainly include data display,storage,and historical data query.The MYSQL database is used to process the data.It is convenient to add,delete and change.At the same time,combined with the influence of GDP,population,time and other factors on the water supply and water consumption in the urban area of HF,the GRNN model and the gray system model are combined to accurately predict and analyze the water consumption,and the individual prediction model is compared by calculation.The method has obvious improvement effect,and the weight coefficient is used to predict the water consumption of HF city in the next three years.Finally,in the optimization of water supply pipe network construction,with the lowest construction cost as the objective function,the genetic algorithm optimization model was established through the constraints of the hydraulic calculation model.The actual urban water supply pipe network parameters were used to prove the application of this model.Sex,providing a scientific and effective method for the\network designers to determine the uncertainty of the initial pipe diameter selection. |