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Wireless Sensor Network based Data Fusion and Control Model for an Oil Production Platform

Wireless Sensor Network based Data Fusion and Control Model for an Oil Production Platform

Mitun Bhattacharyya, Ashok Kumar, Magdy Bayoumi
Copyright: © 2010 |Pages: 25
ISBN13: 9781615208432|ISBN10: 1615208437|ISBN13 Softcover: 9781616922931|EISBN13: 9781615208449
DOI: 10.4018/978-1-61520-843-2.ch006
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MLA

Bhattacharyya, Mitun, et al. "Wireless Sensor Network based Data Fusion and Control Model for an Oil Production Platform." Designing Solutions-Based Ubiquitous and Pervasive Computing: New Issues and Trends, edited by Francisco Milton Mendes Neto and Pedro Fernandes Ribeiro Neto, IGI Global, 2010, pp. 113-137. https://doi.org/10.4018/978-1-61520-843-2.ch006

APA

Bhattacharyya, M., Kumar, A., & Bayoumi, M. (2010). Wireless Sensor Network based Data Fusion and Control Model for an Oil Production Platform. In F. Neto & P. Neto (Eds.), Designing Solutions-Based Ubiquitous and Pervasive Computing: New Issues and Trends (pp. 113-137). IGI Global. https://doi.org/10.4018/978-1-61520-843-2.ch006

Chicago

Bhattacharyya, Mitun, Ashok Kumar, and Magdy Bayoumi. "Wireless Sensor Network based Data Fusion and Control Model for an Oil Production Platform." In Designing Solutions-Based Ubiquitous and Pervasive Computing: New Issues and Trends, edited by Francisco Milton Mendes Neto and Pedro Fernandes Ribeiro Neto, 113-137. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-61520-843-2.ch006

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Abstract

In this chapter the authors propose methodologies for improving the efficiency of a control system in an industrial environment, specifically an oil production platform. They propose a data fusion model that consists of four steps – preprocessing, classification and association, data association and correlation association, and composite decision. The first two steps are executed at the sensor network level and the last two steps are done at the network manager or controller level. Their second proposal is a distributed hierarchical control system and network management system. Here the central idea is that the network manager and controller coordinate in order to make delays in feedback loops as well as for increasing the lifetime of the sensor network. The authors finally conclude the control system proposal by giving a controlling model using sensor networks to control the flow of hydrocarbons in an oil production platform.

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