Drug‑related personnel are large‑in‑number and highly mobile. Their basic information remains unclear. Grass‑roots management resources poorly match business demands, making grid‑based assessment hard to implement.
Public Security‑Smart Police System
Grid‑based Supervision of Drug‑Addicted Personnel
Pain Points
Difficulty in the basic‑data management of drug‑related groups
Drug‑related personnel are large‑in‑number and highly mobile. Their basic information remains unclear. Grass‑roots management resources poorly match business demands, making grid‑based assessment hard to implement.
Poor cross‑region and cross‑department collaboration
There exists management connection gaps for non‑local drug‑related personnel. Departments adopt inconsistent data standards and suffer delayed information exchange. Traditional manual ledgers are inefficient and prone to data loss and damage.
Insufficient intelligence for dynamic supervision
The system lacks visualized trajectory tracking and automatic early‑warning capabilities. Scattered‑and‑inactive data prevent real‑time, full‑domain insight into the supervision status and outcomes of drug‑related personnel.
Architecture
Cases
Training and operation‑launch services have been carried out in numerous prefecture‑level cities including Liu'an, Xiantao, Tongchuan, Mianyang, Hezhou, Tianmen, Shanglin, Ankang, Bayannur, Deyang, Chengdu, Ningde and Guang'an.
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