Under the background of high proportion of new energy access, the development of high frequency distribution data collection business is rapid, and the number of access terminals and business collection volume has surged, which puts higher requirements on the data collection, transmission, and processing capabilities of distribution networks. Therefore, a communication resource intelligent scheduling technology for high frequency collection in distribution networks is proposed. Firstly, a communication resource intelligent scheduling framework is constructed for high frequency collection in distribution networks. Secondly, based on considering the sensitivity of high frequency connection services to latency and energy consumption, an optimization model is established with the goal of meeting differentiated business requirements. Finally, in response to issues such as terminal decision coupling and gateway selection conflicts, a communication resource intelligent scheduling algorithm based on business differentiation awareness is proposed. Through improved unilateral matching, the differentiated demand guarantee of high frequency collection business in distribution networks is achieved, avoiding the waste of computing resources. The simulation results show that the proposed algorithm reduces the average energy consumption of terminals by 58.54% and 73.98% respectively, and reduces the average data processing latency by 51.99% and 69.93% respectively compared to the comparative algorithm.