The paper proposes a scene boundary recognition and quality monitoring method based on map crawler. The Internet crawler technology is used to realize automatic recognition of scene boundaries

and the MR+OTT and Pareto Law are used to automatically update the scene resource information. Thus

with the help of big data in network optimization

it is easily achieved intelligent early warning monitoring of network quality in key scenarios. Piloting in a certain city

the scene is automatically identifi ed after the scheme is online

and the scene cell is automatically updated and the initial evaluation coverage rate was 92.85%. After two months of rectifi cation

the coverage rate has increased to 94.22%

and the proportion of weak coverage cells has decreased by 4.72 pp.