Performance index prediction method for data access process in intelligent monitoring application

The invention discloses a performance index prediction method for data access process in intelligent monitoring application, which comprises the following steps: S1) acquiring the number of communication nodes which initiate access requests in each frame according to a probability density function based on a Beta distribution model; S2) calculating the collision probability of the communication nodes which initiate the access requests in each frame through a total probability formula on the basis of the number of random access channels configured in each frame; S3) acquiring the average successful access probability of access nodes according to the number and the collision probability of the communication nodes which initiate the access requests in each frame; and S4) acquiring the average access delay of the communication nodes on the basis of a queuing model which considers the impacts of the collision of the communication nodes and a preset nodes-per-batch distribution model. By using a predication model for predicting key performance indexes, a guide foundation is provided for honeycomb-network-based intelligent monitoring service which is to be widely used in future and an improvement approach is provided for algorithm optimization.