Analysis And Research Of Intelligent Decision-making Management Platform For Distribution Network Regulation Based On Chinese Address Segmentation Technology

The intelligent decision management platform for distribution network regulation based on Chinese address word segmentation technology is a form of better service for electric power repair companies.Its appearance will bring great convenience to the construction of the city and people's lives,and also allow the address information to exert its own unique charm in the power grid system,thereby better facilitating our lives.In this emergency repair system,power users feed back the faulty address to the power emergency repair company.When the fault address reaches the power emergency repair company,the emergency repair company will use the address information given by the user to repair in the distribution network regulation intelligent decision management platform system Perform a series of classification and word segmentation matching search steps,sort the found address information,filter the results,and further accurately locate the standardized address that needs to be repaired,and feedback the found accurate address information to the corresponding work Personnel and corresponding staff thus arrange work-related personnel to carry out emergency repair work in terms of power,so as to serve the masses faster.In order to achieve a more perfect coordination of address information and repair work,the main research contents of the intelligent decision management platform system for distribution network regulation in this article are as follows:First,this paper designs an address-related classification and word segmentation matching system for power repairs.The traditional Naive Bayes classification method combined with genetic algorithm first analyzes the operability of address information to lay the foundation for future address segmentation,thereby ensuring the system resources Reasonable use?Second,the traditional address segmentation process is improved to use genetic algorithms and TRIE trees to calculate the similarity between new address information and standardized address information and then achieve pre-classify operable address information and quickly match standardized addresses information for accurate address matching.Third,when performing word segmentation preprocessing on address information,there will be situations where unregistered words and the address is abbreviated.The method of making a professional dictionary makes the accuracy of the system further improved.If the address information cannot be found after the above operation,it will start the learning mechanism in the system and store the address standardization into the database for later useFourth,the stack is used for temporary storage for the occurrence of semantic ambiguity in word segmentation,then the ambiguity tree is traversed and the similarity calculation is performed using genetic algorithm to ensure the comprehensiveness of the word segmentation.Fifth,facing apply relevant components in the big data ecosystem for cases where the amount of data generated in the emergency repair system is large that use classification methods,semantic similarity,and professional dictionaries to analyze address information to achieve effective use of the system.