Construction of Power Production Safety Risk Assessment System Based on Fuzzy Logic Algorithm

With the continuous expansion of power production scale, safety risk assessment has become a key issue to ensure the stable operation of the power system. To address this issue, this article proposes a power production safety risk assessment system based on fuzzy logic algorithm. Firstly, a fuzzy membership function is established to quantify risk indicators in response to the fuzziness and uncertainty factors present in the power production process. Subsequently, an evaluation model based on fuzzy reasoning is designed to comprehensively evaluate and weight analyze various risk factors. Finally, a corresponding evaluation system is developed to achieve real-time monitoring and early warning of safety risks in power production. Through experimental analysis of actual power production data, the results show that the accuracy of the fuzzy logic algorithm system in risk identification reaches 87.5<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup>, and the average error in future risk prediction is 2.87. In the above data conclusions, the evaluation method based on fuzzy logic algorithm can effectively warn potential safety risks when processing complex risk information, and has significant advantages, which can provide strong support for the safety management of power production.