Exploring and Applying a Digital Detection Strategy for Public Rent-Free Sites Based on POI Data
In the context of the large-scale deployment of 5G networks and the rapid increase in rigid costs,this article proposes a method for intelligent detection of public rent-free site suita-bility in order to develop effective site selection strategies and save site leasing costs.This meth-od utilizes Chinese word segmentation algorithms to extract keywords related to public rent-free sites and establishes a keyword database.It incorporates extensive POI(Point of Interest)data,base station data,and contract data for matching and cross-operation to systematically and intelli-gently evaluate whether existing sites meet the rent-free conditions.By constructing a public rent-free keyword database,this article helps accurately identify existing leased property sites and facilitates rent-free negotiations,effectively eliminating the subjectivity and uncertainty of tra-ditional manual judgment.It provides reliable references for base station site selectors,thereby reducing base station rental costs and improving the economic benefits of 5G networks.
rent-free siteChinese word segmentationrent-free keyword databasePOI database station site selection
NETL
NSTL
万方数据
