Police Data Hub
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Police Big Data
The rich public security data are used to mine valuable police intelligence data from the massive and messy public security data by means of time-space analysis, prediction analysis, relationship analysis, holographic profile, data sand tables, method research and judgment, information collaboration, etc., which are presented in an intuitive and visual multidimensional dynamic view to help users of the public security system to achieve public security situation analysis and criminal intelligence investigation.
Applications
Target Control
Data Correlation Analysis
Case Data Analysis
Mobile Data Collection & Analysis
Operation Rehearsal
Advantages
Massive data processing in seconds
Based on advanced distributed computing, storage and super search engine technologies, a big data basic technology platform is built to achieve efficient analysis and processing of structured, semi-structured and unstructured multi-source large volume of data.
Innovative knowledge forest
Based on the advanced graph database dynamic ontology technology, it realizes the dynamic structured storage and maintenance of the target object data knowledge, and satisfies the needs of analysis and mining of complex multidimensional data relations.
Deep mining of target relationships
Provide flexible data collision tools and professional and intelligent case research and judgment tools to help users have an insight into and mine the clues of cases and grasp the clues of solving cases.
Dynamic space-time deduction
Based on the large volume of data across time and space, combined with the action track information of the target object, the police can deduce the past or future activities and tracks of the target suspect in the way of space-time deduction.
Holographic integration
The multi-dimensional data of the target object is comprehensively aggregated based on the knowledge graph, and the detailed information of the target person, vehicle, mobile phone, etc. is visually displayed through the timeline, relationship analysis, behavior analysis, track analysis, and habit analysis.
Multidimensional target analysis and collision
By integrating various perceptual source data, the track of the target person or vehicle is intuitively presented in GIS. The multi-dimensional target is analyzed and collided through the multi-dimensional perception system, and then the target and its motion track are deeply analyzed.
Scenarios
Criminal Intelligence and Research Center
Anti-Drug Intelligence Center
Anti-telecom Fraud Center
Cybercrime Research Center
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