Intelligent Power Management System Research And Design Of In-pipe Detector

With the rapid development of social economic development, the importance of energy development and utilization is increasing. Oil has become an important integral part of the social construction of energy, and mostly transported by tunnel. Oil pipeline transport is in full swing, the grid covers all regions of the country. It mostly uses magnetic flux leakage detection technology as the main technology for nondestructive testing in the existing oil pipeline, and the testing work is mainly completed by in-pipe detector.Firstly, this thesis proposes requirements analysis for all electrical equipments in the in-pipe detector and analyzes the accurate and stable voltage and current which the detection sensors, functional module control chips, data storage hard disk and other electrical equipment needs from the battery.Secondly, the division of power management system function module within the detector is proposed. Battery state of charge SOC module is responsible for calculating and correcting the value of SOC by SOC estimation algorithm which cooperates with samples of voltage, current, and temperature value. Power charge and discharge module is responsible for the management of charging circuit of external 220V,50Hz power charging and charging from self-generating electricity system. Power monitoring module is responsible for monitoring each current and voltage conversion unit in the power management system. When an exception occurs, send a failure blocking signal to blockade conversion unit, and cut off the electricity circuit to protect devices. Power monitoring module is also responsible for the sampling of voltage and current data. Power consumption module is responsible for computing power and energy consumption when the detector words in different modes, then makes predictions of energy consumption which bases on different models to estimate how long the detector could continue to run. Communication among modules is via CAN bus.Thirdly, the SOC estimation method used in the power management system within the detector is proposed. Account of the effect on SOC estimation which comes from battery charge rate, temperature, self-discharge rate factors, aging and cell cycle, parameters measurement error, and design SOC estimation method combining the detector characteristics. The method includes SOC calculation and correction parts.Finally, the division of operating modes of the in-pipe detector and the control strategy of intelligent mode conversion are proposed. The operating modes are divided into normal operating mode, low battery mode, charge mode, standby mode. The detector calls the functional modules in different ways when it is in different working modes. According to the characteristics of each mode, this thesis designs the methods how it calls the four function modules specifically.Envision various mode conversion situations the in-pipe detector may encounter, and propose specific control strategy of intelligent mode conversion bases on judgment of SOC.This thesis takes the actually work characteristics of the in-pipe detector that it would last a long-term operation in the pipeline into a full consideration, and designs a complete control program of in-pipe detector power management system, which guarantees effectively that the in-pipe detector works safely, efficiently and stably when proceeding.