Design And Application Research Of Embedded Natural Gas Information Collection System

Since natural gas has many incomparable characteristics such as cleanliness, efficiencyand environmental protection, the proportion in the world’s energy structure is increasingyear by year. So it is an indispensable project for all natural gas gathering station tomeasure and control its flow, meanwhile, the technology of pipeline leakage detection andlocalization plays an important role in the management of pipeline system.This paper is based on the cooperative project of our school and Liaohe Oil-field--TheTransformation of Natural Gas Metering System. The embedded natural gas informationcollection system designed in this paper contains16subsystems, which are used tocalculate different pipeline’s parameters. Then each subsystem sends the measured andcalculated gas information parameters to an industrial computer. After transformation, thesystem has the advantages of automatically adjusting the instrument range according to thereal-time gas flow, storing gas parameters to SD card, less susceptible to the impact ofcomputer viruses and short maintenance time. Additionally, the embedded system can alsobe applied in the research of leakage detection and localization of gas pipeline.Three aspects of design and application research of the embedded natural gasinformation collection system are decribed in this paper, which firstly determines theoverall system design according to the project, then gives a detailed description of thehardware circuit design including main controller module, power module, sensor signalprocessing module, communication module, display module, memory module, clockmodule, debugging module, and software design including μC/OS-Ⅱ operating systemtransplantation, the main program design, program for each task and the design of LCDscreen interface, and finally describes that each subsystem can be applied to the leakagedetection and localization of gas pipeline based on the steady-state model method.Traditionally, the steady-state model method takes the relative density of natural gas as afixed value. In order to provide a more accurate relative density value, this paper usesmodified genetic algorithm to estimate it in real-time.