Data Analysis of Safety Assessment and Early Warning for Offshore Platform

Abstract

Dai, W. and Yu, Y., 2020. Data analysis of safety assessment and early warning for offshore platform. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 536–539. Coconut Creek (Florida), ISSN 0749-0208.Offshore platform is a very complex system and is affected by wind, wave, currents, and other loads for a long time. When a safety problem occurs in the offshore platform, catastrophic accidents can cause incalculable loss of life and property and can also damage the vulnerable marine ecological environment. However, the research on the safety of early warning of offshore platforms in China is still in its infancy. Therefore, by performing safety assessment and early-warning work, this paper can obtain the health status of the offshore platform timely and accurately. By studying the safety assessment and early-warning system of the offshore platform, a theoretical basis for the safe operation of offshore platform can be provided. Through the technology of safety monitoring and safety evaluation, this paper constructs the safety early-warning model of the offshore platform, which realizes the monitoring, diagnosis, control, correction, and other functions of the production activities of the offshore platform.