Design of Requirement Value Evaluation System Based on Bee Colony Algorithm

Manual demand value assessment is highly subjective and sometimes lacks theoretical basis, which can easily lead to the loss of high-value demand. Demand value assessment requires digital capabilities to support. This article establishes a demand mining and demand value evaluation system, which effectively manages and scientifically analyzes the demand data of electricity customers. The results indicate that it can provide a basis for user demand information analysis and comprehensive analysis management, customer demand mining and demand value analysis, and make customer demand worth evaluating correctly. It helps customer managers better provide professional and high-quality services for electricity customers. Comparison with bee colony algorithm, the accuracy of the algorithm constructed in this paper is significantly improved. At the same time, the accuracy of the algorithm constructed in this paper is close to that of mobile digital signature technology, both of which is greater than 80%, which is better than ASP technology.