In 2020, China's first fisheries total allowable catch system (TACs) pilot project of Acetes chinensis during the summer moratorium of marine fishing was successfully launched in Haizhou Bay of the Yellow Sea.The project continued to be extended to the Bohai Sea in 2021.Therefore, it is crucial to explore the resource distribution of A. chinensis in Haizhou Bay in summer for the refined management of TACs project. In this study,the position and fishing effort of each netting based on the BeiDou vessel monitoring system (VMS) data during the TACs project of A.chinensis in Haizhou Bay in 2021 were firstly extracted.Then we used the Density-Based Spatial Clustering of Application with Noise (DBSCAN) algorithm to further identify the netting positions with production to investigate the resource distribution pattern of A.chinensis. The results showed that the DBSCAN algorithm could accurately identify the netting positions with production and its recognition rate was 97.18%. There were 898 netting positions with production during the TACs project, presenting an aggregated spatial distribution pattern. Moreover, it was found that the resource distribution of A.chinensis were mainly distributed in 120°00'E-120°15'E,34°43'N-34°48'N and 119°47'E-119°53'E,34°36'N-34°43'N based on the fishing effort of all the vessels. This study can be used as a scientific reference for using BeiDou VMS date to extract the netting positions with production in other fishing activities.