Abstract
While the universal application and rapid development of natural gas have improved people’s living standards, it has also improved the traditional energy structure and contributed to environmental protection. However, with the increasing speed and scale of urban gas engineering construction, the safety maintenance and prevention of gas pipelines that follow are particularly important for gas companies. In particular, the third-party construction unit does not pay enough attention to the gas pipeline network, and it is easy to cause damage to the pipeline network during construction and cause gas pipeline leakage accidents. This paper uses big data technology to find the key elements of third-party construction and construction damage risks in massive data, builds a high-prone construction area model and construction damage risk model, provides countermeasures against damage risks, and improves the effectiveness and prevention of external damage risks. Targeted, reduce the frequency and extent of damage to gas pipelines and facilities, and ensure the safe operation of the gas pipeline network.
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