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In this paper, a production simulation method of regional integrated energy system considering the randomness of the scene is proposed to solve the production decision problem of integrated energy system including wind power, photovoltaic and other intermittent renewable energy sources. This method firstly establishes the typical scenario set of the integrated energy system operation with the corresponding random probability through cluster analysis. Secondly, taking the regional integrated energy system as the object, a production decision model and algorithm with the goal of minimizing the expected energy consumption cost are proposed. Finally, the effectiveness of the model algorithm is verified by a case study.

The establishment of classification index system of fault in tugboat main engine was briefly discussed first. After that, the fuzzy method and procedures used in fault classification were introduced. Several implementation techniques of the fuzzy classification were explored including the knowledge expression, the hierarchical structure of knowledge library, the pre-processor and the forward inference engine. Some specific fault records of tugboat main engine were analyzed and classified for certification. And results prove that fuzzy classification has certain reference value and improves the working efficiency of tugboat personnel in equipment maintenance and management.