管道內(nèi)檢測器電源智能管理系統(tǒng)研究與設(shè)計(jì)
[Abstract]:With the rapid development of social economic construction, the importance of energy development and utilization is increasing day by day. Oil has become an indispensable and important energy source for social construction, and its transmission mode is mostly pipeline transmission. In our country oil pipeline transportation is carried out in an all-round way, the network covers all parts of the country. In the existing oil pipeline, magnetic flux leakage detection technology is used as the main technology for nondestructive flaw detection, and the detection work is mainly completed by the pipeline detector. Firstly, the demand analysis of the electric equipment in the inner detector is put forward, and the accurate and stable voltage and current value of the power supply needed by the electric equipment such as the detection sensor, the control chip of each function module and the data storage hard disk are analyzed. Secondly, the partition of the function module of the power management system of the inner detector is put forward. The SOC estimation (State of Charge) module of the charged state of the battery is responsible for calculating and correcting the SOC value by combining the voltage current value and the temperature value obtained from the detection and sampling with the SOC estimation algorithm. The charging and discharging module is responsible for managing the charging circuit of the battery from the external 220 V / 50 Hz charging and self-generating system. The power monitoring module is responsible for monitoring each current and voltage conversion unit in the power management system. When abnormal, send fault blocking signal, block the conversion unit, at the same time cut off the circuit, protect the equipment. The power monitoring module is responsible for the sampling of voltage and current data at the same time. The power consumption module is responsible for calculating the power consumption and energy consumption when the detector is in different modes. Then based on the prediction of energy consumption in different modes, the length of time that the inner detector can continue to run is estimated. The communication between modules is accomplished by CAN bus. Thirdly, the SOC estimation method used in the internal detector power management system is proposed. The effects of battery charging rate, temperature, self-discharge rate, battery aging and cycle, parameter measurement error on SOC estimation are considered. The estimation method of SOC value is designed according to the working characteristics of the inner detector. It includes the calculation and correction of SOC. Finally, the working mode partition of internal detector and the control strategy of mode intelligent conversion are proposed. The internal detector mode is divided into four modes: normal mode, insufficient mode, charging mode and standby mode. When working in different modes, the internal detector calls each functional module in different ways. According to the characteristics of each mode, the method of calling four functional modules is designed in this paper. In order to predict the various mode switching situations which may be encountered by the inner detector, a specific control strategy based on the SOC value for the intelligent mode conversion is proposed. In this paper, the practical characteristics of long-term operation of inner detector in pipeline are fully considered. A complete control scheme of the internal detector power management system is designed, which effectively ensures the safety, efficiency and stability of the internal detector detection.
【學(xué)位授予單位】:東北大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TE973.6;TM912
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