Font Size: a A A

Development And Test Verification Of Integrated Intelligent Pumping Station Soft Measurement Monitoring System

Posted on:2020-05-16Degree:MasterType:Thesis
Country:ChinaCandidate:W F QiuFull Text:PDF
GTID:2392330596996933Subject:Power Engineering and Engineering Thermophysics
Abstract/Summary:PDF Full Text Request
With the development of pumping station construction in China and the popularity of the Internet of Things,the pump industry has entered an era of intelligence.Intelligent monitoring system is one of the key technologies to ensure long-term efficient,safe and stable operation of pumps and pumping stations.During the operation of the pump and pump station,the operating status is monitored by using various sensors and supporting equipment,and relevant operational data is connected to the industrial cloud platform.The integrated pumping station is an ideal replacement for traditional pumping stations thanks to its flexibility,short construction time and ease of installation and maintenance.In recent years,the demand for integrated pumping stations has increased.On the basis of ensuring the operation function of the pumping station,in order to effectively save the internal space and equipment cost of the pumping station and improve the market competitiveness of the integrated pumping station,the development of integrated intelligent pumping station soft measurement Monitoring systems are especially important.The monitoring system can display the running status of the integrated pumping station in real time,and propose solutions for the continuous and efficient operation of the pumping station.It is also possible to record and analyze the trend of historical data on the industrial cloud platform remotely.based on this,the energy consumption model of the pump can be established to provide solutions for product selection and energy-saving operation,which can effectively reduce the operating cost of the pumping station and engineering researchers.Time cost.Therefore,the development and test verification of the integrated intelligent pumping station soft measurement monitoring system has important engineering significance and academic value.In this paper,three different specific speed submersible sewage pumps are taken as research objects.Through theoretical analysis,experimental research and numericalcalculation,the pump soft measurement monitoring model with power as auxiliary variable is established,and the device characteristics of pumping stations with different conditions are analyzed.The focus is on the impact of seal ring wear on pump energy consumption.The remote intelligent monitoring system of the integrated pump station was constructed,and the energy consumption model of the sewage pump was obtained.The main research contents are as follows:(1)Based on the polyfit function of the least squares principle,a classification algorithm for pump external characteristic curve fitting is proposed,which realizes the fitting of different external characteristic curves of vane pumps such as centrifugal pump,mixed flow pump and axial flow pump.The root mean square,the maximum error value and the relative error maximum value are used to judge the fitting precision.by analyzing the trend of the vane pump external characteristic curve,the Longge phenomenon caused by the high-order fitting is avoided,and the fitting degree of the blade pump characteristic curve is given.The optimal solution;on this basis,three types of pump external characteristic curve solving software programs are developed.(2)In the soft measurement monitoring,the key variables of the remote monitoring system with the auxiliary variable power parameter as the pump are proposed,and the Q-P and Q-H mathematical models are established,and the above two models are determined as the theoretical basis of the soft measurement system.The accuracy of the soft measurement monitoring method and its influencing factors are analyzed systematically.Finally,a pump monitoring system capable of accessing the industrial cloud platform was established,real-time display,control and alarm of current,voltage,frequency,power,flow,liquid level,head,speed and other performance parameters were realized,and history can be recorded and analyzed online.The trend of data changes.(3)Taking the integrated pumping and transportation pumping station as the research object,the submersible sewage pump and the axial flow pump for the integrated pumping and conveying pumping station are studied in depth,and theoretical analysis and formula of the head curve are carried out according to the actual operating conditions.Derivation and software development to propose solutions for the continuous and efficient operation of pumping stations.(4)Taking the submersible sewage pump with specific speed of 96.2,185.5and 493.3 as the research object,the method of combining the full flow field CFD analysis and the external characteristic test is used to systematically analyze the influence of different sealing ring gap on the external characteristics of the pump.The different effects of the seal ring gap wear on the three specific speed pumps are obtained,which provides a reference for the establishment of the submersible sewage pump seal ring gap fault model.(5)Based on the test data of submersible sewage pump with specific speeds of96.2,185.5 and 493.5,based on MATLAB multiple linear regression and polynomial regression analysis methods,the regression of head,power and efficiency with respect to specific speed,flow and seal ring clearance are established.The model proposes and verifies the criterion of the regression model.based on this,the energy consumption model of the sewage pump under the influence of the seal ring gap is established,which provides a reference technical scheme for pump station product selection and system energy saving.
Keywords/Search Tags:Integrated pumping station, Intelligent monitoring, Seal ring clearance, Regression model, Energy consumption prediction
PDF Full Text Request
Related items