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Research Of ZigBee-based Localization Algorithm And Well Control Personnel Positioning

Posted on:2016-08-27Degree:MasterType:Thesis
Country:ChinaCandidate:L MaFull Text:PDF
GTID:2271330461483293Subject:Software engineering
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With the rapid development of the digital oilfield, the oilfield drilling technology has been constantly progressing.The oil drilling status has been acting as a pivotal position in the national economy.Our country make claims that we should become more and more strict in safety production, because it can prevent loss of people’s lives and property effectively, and lay a foundation for the steady development of economy and society.This dissertation studies the Well Control Personnel Positioning system which connects the operators who are working on the drilling platform as well as the expensive equipment to networks with a function of real-time positioning and monitoring.This dissertation provides the solution which based on the attenuation distance of received signal strength indicator by means of CC2530 + independent programming of localization algorithm, and chooses the CC2530 modules which support the ZigBee protocol to realize the networking and communications.1.This dissertation first provides an overview of the wireless sensor network positioning technology and system,as well as the characteristics of the wireless sensor network. Then,introduces the related basic concepts and the theories of ZigBee in detail.2.This dissertation discusses the classification of classical positioning method and their advantages and disadvantages,studies the wireless signal propagation model systematically, analyzes the dependency of parameters A and N in wireless signal propagation model on the environment, the influence of environment on the received signal strength and the influence of receiving signal strength on distance measurement.The BP neural network model is put forward to correcting the RSSI values for the influence of environment,presents a new method of real-time dynamic parameters of the positioning. On the aspect of localization algorithm, proposes the six centroid positioning algorithm which is more accurate and further improve the positioning precision.This paper conducts the Monte Carlo simulation of proposed positioning method and positioning algorithm proving that the algorithm is feasible and effective in the end.3.This dissertation gives a detailed design of hardware and software of gateway node,reference nodes and mobile nodes, tying in the characteristics of the drilling platform, designing the PC monitoring program, including the implementation of the serial data extraction and analysis as well as the storage of input, adding the function of displaying the historical movement of the mobile operators.This project which makes integrative use of computer technology, neural network model, the wireless sensor network and database technology and so on, can update the location information of well control operators in near-real time, preventing the loss of valuable instrument and equipment.It can provide auxiliary effect on well control operator training, drilling platform blowout exercise and drilling production. This project can provide reliable data of the operator’s position during the drilling production which promotes the informatization process of the oil field, so it will have a good market prospect and wide development space.
Keywords/Search Tags:ZigBee protocol, RSSI, BP neural network, localization algorithm, CC2530 modules
PDF Full Text Request
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