Design Of Energy Management System For In-pipe Detector

Since the China’s economy is developing rapidly,the development and utilization of gas and oil resources has become more and more significant.The main mode of petroleum transportation is pipeline transportation.It will cause damage to the pipeline after long time using.The internal detectors in pipelines are the main tools for detecting pipeline damage.They can be used for non-destructive testing and are important guarantees for the safe transportation of petroleum in pipelines.The in-pipe detector energy management system is the core of the internal detector and is responsible for continuously supplying power to the detector to ensure the safety and reliability of detection.Four aspects will be introduced in this thesis:Firstly,the demand for electrical load of the detector in the pipeline is analyzed and a new program of the battery has been designed.The analysis of the demand for electricity is mainly to analyze the power requirements of the sensor,the control chip and the storage hard disk.The design of the battery includes the selection of the battery.According to the volume of power generation section,the shape and size of the battery is designed.And according to the power requirements of the internal detector,the combination scheme of battery is designed.Secondly,a part of the power management system:hardware program is carried out.The hardware design research of energy management system mainly includes boosting voltage regulator circuit design,measurement circuit design,charging and discharging circuit,conversion circuit design and simulation research or experimental research on each circuit.The measuring circuit is responsible for collecting the charging and discharging voltage values and current values of the battery pack,the temperature of the battery pack and the internal resistance value.The boosting circuit is designed for boosting and regulating the low voltage produced by the mileage wheel to meet the ends of battery pack requirements.Thirdly,based on the promoted method of the AH integration method,the remaining battery capacity of the detector in the pipeline can be estimated.The method can estimate the battery capacity online,and effectively solves the problem that the AH integration method is not accurate in the initial stage and the final stage of the battery discharge.This method has the advantages of the ampere-integration method and the radial-based neural network method,and it takes into account more factors affecting the battery SOC to make a more accurate result,such as voltage,current,temperature and internal resistance.Fourthly,it proposed a new kind of optimization design of the internal detector energy management system to save more energy,and its model is analyzed.The energy optimization design is mainly divided into sensor sampling frequency adaptive model design,internal detector automatic cutting load model design and battery charge and discharge equalization strategy design.The purpose of energy optimization is mainly to save energy and prolong the detection distance of the internal detector.The sensor sampling frequency adaptive model determines the sampling frequency of the sensor based on the remaining capacity of the battery and the operating speed of the internal detector.The load model is used to ensure the integrity of the inspection work.The battery pack charge and discharge balancing strategy is designed to charge the battery when its capacity is not enough with the multiple groups of batteries coexisting,to make sure the reliability of the discharge could meet our demands.In consideration of the actual working conditions of the internal detector,this thesis complete the design of the energy management system to ensure the safety,reliability and integrity of the internal detector.