Research On High-precision Intelligent Weighing System And Fault Diagnosis Technology For Bulk Materials Based On Internet Of Things

With the rapid development of modern economy,the trade volume of bulk materials has risen sharply,prompting the requirement of dynamic weighing become more and more strict.The existing electronic belt weigher has the low accuracy,worse long-term stability,and data fluctuation,so it’s difficult to meet requirements of trade measurement.The development of Internet technology promote the transformation of the traditional weighing apparatus industry,using the computer and information technology to monitor working state of belt weigher so as to reduce the errors due to human intervention,and ensure the long-period running accuracy.With the help of the Internet of Things technology,the paper proposes the bulk cargo and high precision intelligent weighing system,to realize the real-time data acquisition and monitoring and early warning to the weighing equipment.Main works include the following aspects:Firstly,research on the characteristics and the status quo of the belt weigher,and analyze the requirement of the belt weigher intelligent weighing system and each function module,as well as the relationship between the various functional modules in detail.Then design the general framework of intelligent weighing system.Secondly,analyze each weighing error type of the electric belt weigher and their sources,among which the temperature and tension these are discussed in detail.Through the experimental data,further explain the relationship between the main error factors.Thirdly,analyze the advantages and disadvantages of traditional aiNet network model for the mechanical fault diagnosis.After introducing clonal variation algorithm and K neighbor theory,propose a multilayer immune network model with the cooperation between its own diagnostic horizon and adaptive diagnostic horizon to realize the effective recognition for the new fault.The improved multilayer immune network model was contrasted with traditional genetic algorithm and aiNet network model to find out the most suitable method.Forthly,analyze and design each sub-modules of bulk cargo and high precision intelligent weighing system in detail,including data acquisition and processing,fault diagnosis,system management and supervision,and other functions.Finally used B/S architecture to develop the bulk cargo and high precision intelligent weighing system.