Panoramic analysis of regional risks in Longgang City and research on high-frequency hidden dangers in industrial parks based on DeepSeek

In response to the three major challenges in the field of safety supervision in industrial parks: weak prevention, slow process response, and low efficiency of post review, this study analyzes the regional risk panorama of Longgang City and uses the "3030" hidden danger closed-loop mechanism in Longgang City as the research carrier to improve the efficiency of safety supervision and the accuracy of risk assessment in industrial parks through innovative methods. This article uses principal component analysis (PCA), analytic hierarchy process (AHP), and expert scoring method to determine the weights of seven types of risk factors in Longgang City, and constructs a regional risk panoramic analysis matrix model to evaluate the degree of regional risk in Longgang City. Introduce DeepSeek for intelligent risk analysis and construct a three in one model of "intelligent prediction, graded intervention, and dynamic optimization". By using deep learning methods to analyze 950 multi-level safety hazard inspection data at the provincial, municipal, and county levels from 2023 to 2025, a risk feature map with Longgang regional characteristics is constructed. This study identified 7 major categories of high-frequency hazards and 25 subcategories of high-frequency hazards in Longgang City, and revealed 9 composite risk overlay scenario threats; Strengthen supervision over high-frequency hidden dangers, promote the reduction of regional risk thresholds, and provide replicable basis for the next step of building an integrated regulatory paradigm of "intelligent center+institutional innovation".