Study On Optimal Location Of The Pressure Monitoring Points And Operation System In Urban Water Distribution Networks Under Internet Of Things

It's widely acknowledged that water issues are closely related to qualified living standard and health.As a part of the municipal,water distribution networks,linking the water treatment structures and residential buildings,can guarantee the security and reliability of residential water.However,there still exist some problems such as leakage,burst,carelessness monitoring,the low level of environment management in municipal water distribution networks.With the continuous improvement of Internet of Things technology and computer science,the operation of water distribution networks can be grasped through online monitoring pressure,one of the important waterline parameter of urban water distribution,can directly imply its running status.In order to monitor pressure distribution in real time,pressure monitoring points need to be disposed.However,too many pressure monitoring points may lead to great economic cost while too few cannot reflect the network running status and changes of the pressure in real time.Aiming at solving above problems,the current study firstly analyzes the procedure of the hydraulic model in urban water distribution networks.On the basis of the relevance theory of water distribution networks and EPANET software,the hydraulic model was set up through the following procedures: collecting pipeline data,establishing and simply the topology of water distribution networks,then setting the parameters of water distribution networks and hydraulic computation.Secondly,A method of optimal pressure monitoring point location was proposed building on the establishment of the micro model of water distribution networks.Combining the DBSCAN algorithm with spatial and non-spatial attribute of node,the node coordinate,influence degree and the standard deviation of pressure are selected as the characteristic attributes to establish the node spatial matrix,which was clustered by using DBSCAN.The number and location of pressure monitoring point was determined according to clustering result.Simply according to the similarity of each node pressure value,the results indicated that the method of optimal pressure monitoring point location was put forward to compute the number and location of pressure monitoring point,ensuring the nodes belonging to the same class constitute the regional node set after clustering,which reflect the regional distribution of network pressure effectively.It's reasonable and feasible to utilize the method to arrange the locations of the pressure monitoring points because it can comprehensively monitor the pressure state of entire water distribution network and have a promising applied prospect in actual water distribution network.Finally,a water distribution networks operation system was designed based on Internet of Things.The construction and the process of the system was elaborated in the four areas: the application layer,data layer,transport layer and perception.On the basis of the EPANET simulation,the collection and analysis of operating data was realized to meet the monitoring requirements of the running status in the water distribution network,which is of vital significance in the practical application.