Font Size: a A A

Research On Intelligent Community Water Network Scheduling Algorithm Based On Real-time Prediction And User Clustering

Posted on:2019-05-30Degree:MasterType:Thesis
Country:ChinaCandidate:S J LiFull Text:PDF
GTID:2382330596955359Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the development of smart communities,household water equipment and community water equipment are moving towards intelligent direction,guiding users to participate in terminal equipment scheduling management,which can better optimize community water resource allocation.Especially the community participation of reclaimed water,how to maximize the use of reclaimed water,and save water resources is the focus of current smart community water network scheduling.In the whole intelligent community control system,the intelligent water network scheduling algorithm is the core and urgently needed to be solved.Through the effective scheduling algorithm,the optimal solution of water resources allocation is obtained,and the decision is made on the user side to satisfy the user's comfort while in the community.The water cost,the water level of the regenerating pool and the whole water network peak-filling are all of great significance.The scheduling of the water terminal is more accurate than the water pipe network pressure and flow restriction,and it is also the value of the current object networking technology.The paper mainly designs the scheduling algorithm based on the current status and future direction of the current water network dispatching,the paper proposes to predict the water demand of the reclaimed water in real time.The algorithm of dynamically adjusting the device opening time by using dynamic priority,and the user group division by clustering,and the parallel polling scheduling to adjust the water consumption difference among community users,improve the utilization rate of reclaimed water,and reduce the community water consumption cost.The general research content is mainly divided into the following three parts:(1)For the current water network scheduling algorithm,from the domestic and international development status,application technology,scheduling to a thorough analysis,the main problems,what are the solutions are not in place,the proposed new scheduling algorithm can solve To what extent,the performance of the scheduling algorithm is measured from the participation of reclaimed water,the utilization rate of reclaimed water,user comfort,and community water consumption,and the development prospects of the smart community water network scheduling algorithm are prospected.(2)In response to the application of IoT technology to water conservation in smart communities,a community water network system for residents including water supply,drainage and reclaimed water circulation was designed,and W-WNN was used to predict the water demand of community reclaimed water in real time to prepare for dispatch;Realizing community water saving through two-stage optimization of daily dispatching and real-time scheduling,and proposing a scheduling algorithm based on dynamic opening of equipment,adjusting the output of reclaimed water on the demand side of reclaimed water,improving the utilization rate of reclaimed water and stabilizing the water level of the regenerating pool,achieving precise Save water costs and save on water resources.At the same time,the feedback mechanism is added on the user side,and the predicted value of the water demand side changes due to the change of user behavior,and the predicted data and the real-time scheduling data are adjusted in time to ensure the updateability of the algorithm,and the scheduling result is more accurate.The simulation results show that the algorithm is effective in satisfying user comfort and improving the utilization rate of reclaimed water.(3)In order to better realize the satisfaction of users in the smart community and the timeliness of scheduling,the users of the community are clustered into different user groups,and the different user groups are allocated according to the model parameters of the community renewable water resources.Proportional resources,a parallel proportional scheduling algorithm is proposed to maximize the satisfaction of existing resources of reclaimed water,reduce the consumption of purified water,and achieve better water quality while meeting user needs.The simulation results show that the parallel proportional scheduling algorithm is more effective than traditional polling scheduling in reducing water consumption and water saving.
Keywords/Search Tags:smartcommunity internetofthings, water networks, water scheduling, water prediction, user clustering
PDF Full Text Request
Related items