Petrochemical safety equipment plays an important role in ensuring industrial production safety.however,traditional testing strategies for petrochemical safety equipment have some limitations,such as high cost,low efficiency,incomplete fault detection,and lack of sustainability.These issues pose significant challenges to petrochemical enterprises and require the search for more effective testing methods.The optimization of testing strategies based on failure estimation has become the key to solving these problems.Based on this,this article mainly explores how to optimize the testing strategy of petrochemical safety equipment through data-driven fault prediction,risk assessment based testing strategies,online monitoring and remote diagnosis,and intelligent testing equipment and tools based on failure estimation,for reference.
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