| Safety control of oil delivery pump is the key to stable transportation of oil products.How to control the oil pump system safely and avoid failure is a problem that must be concerned by the system monitoring and operators.How to establish a safe,reliable,stable and precise control system of oil pump is a crucial issue.In recent years,with the rise of the concept of Internet of Things,Internet of Things technology has been more and more widely used in remote monitoring.The traditional oil pump control system belongs to the heavy industry.The combination of Internet of Things technology and remote control system of oil pump has the following advantages: first,shorten the opening cycle;second,sensors in the Internet of Things can accurately collect the parameters of oil pump,which can indirectly improve the performance of oil pump system;third,enhance the scalability of the system.Based on the embedded technology,wireless sensor technology,wireless communication technology and automatic control technology in the Internet of Things,this thesis studies and designs the oil pump control system.Real-time collection of flow,pressure and temperature of oil pump is realized by wireless sensor technology,real-time remote transmission of parameters of oil pump and remote control of the system are realized by wireless communication technology,and automatic control technology is used to realize automatic control of hand oil pump system.In the aspect of controller design,oil pump is an important power equipment in long distance pipeline system.The coordinated control of its flow rate,inlet pressure and outlet pressure and the improvement of its efficiency are the important objectives of actual production.Because the oil pump system is a complex non-linear time-varying system,the oil pump exists in the mountain wilderness where the situation is more complex.The drift problemcaused by the adverse factors such as temperature,humidity and crude oil characteristics outside the oil pump control system is difficult to achieve effective control by using conventional control strategy.This thesis adopts the fuzzy neural network PID control algorithm to realize the self-control of the oil pump.Dynamic control.At the same time,aiming at data remote transmission,this thesis optimizes the protocol of heterogeneous wireless sensor node network,improves it on the basis of typical deec clustering routing algorithm,and uses matlab tool to analyze the performance of the improved algorithm.The main contents of this thesis can be divided into the following parts:Firstly,the status question of oil pump control is analyzed and studied,and the related technology of Internet of Things architecture is briefly introduced.Secondly,the oil pump control system is designed based on the Internet of Things technology.The monitoring station uses s3c6410 microprocessor as the core processor of the embedded control system,realizes the real-time acquisition of the parameters of the oil pump through ZigBee technology and wireless sensor technology,and then realizes the real-time transmission through 4G wireless communication technology.The long-distance transmission of oil pump data,and the software and hardware parts of the whole system are analyzed and designed.In view of the shortcomings of conventional PID in the control of non-linear time-varying system,this thesis adopts the fuzzy neural network PID control algorithm to control the oil pump,and carries out detailed analysis,design and performance simulation of the algorithm.Thirdly,the typical routing protocols of wireless sensor networks are analyzed.In view of the shortcomings of these algorithms,the deep clustering algorithm is improved,and the improved algorithm is analyzed and designed in detail.Finally,the improved clustering routing algorithm in this thesis is implemented by matlab tools in three aspects: life cycle,data packet transmission volume and average residual energy of the node network.The performance of the system is verified. |
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