Semantic compliance checking model of dispatching order sheet in intelligent distribution network

Abstract: In order to ensure the safe operation of intelligent distribution network, a rule-based scheduling command ticket semantic compliance verification model was designed. The text set to be processed and the server set were set, and the scheduling data set was obtained by Cartesian product operation. The heuristic function and pheromone function of the ant colony optimization algorithm were initialized, and the optimal solution was selected from the iteration results to realize the scheduling command ticket text data collection. The Euclidean distance was used as the similarity trade-off criterion. After several clustering tests, the sum of variance of clustering mean was counted, and the corresponding value when the variance value was constant was used as the semantic compliance text classification standard. The lightweight design is used to customize the rules of each section, and the semantic compliance verification model of scheduling command ticket is built by using data format transformation, repeated record discrimination, rule setting and analysis, and data verification. The simulation results show that the calibration process of the established model has strong anti-interference ability, has ideal fidelity, and effectively reduces the calibration delay, which plays a key role in conveying the intelligent distribution network scheduling command accurately.