Smart public security is supported by big data, cloud computing , artificial intelligence , Internet of Things and mobile Internet technologies, with the purpose of "fighting, prevention, management and control", with comprehensive research and judgment as the core, sharing information and data resources, and integrating Business functions: Build a public security smart big data platform to promote the coordinated operation of various public security business departments, achieve the goals of police information integration, sharing, and application, and realize the digitization, networking, and intelligence of public security information. The smart public security big data platform comprehensively perceives, comprehensively analyzes, and integrates public security business resources and social information resources, provides efficient police management methods, and expands convenient service space.
Unify the power, resources, methods, and clues of all police types in the investigation business into the big data platform, and establish a normal mechanism for seamless connection of multiple resources, simultaneous filing of cases by multiple means, and joint operations of multiple police types to achieve "joint intelligence investigation, Joint investigation of clues, joint management of objects, joint control of funds, and joint attack" promote the sharing of information resources, the integration of working methods, and the improvement of investigation efficiency. The combat subsystem includes the following contents: case research and judgment/gang mining, including: police information case analysis , element correlation analysis, research and judgment model, and gang discovery.
In the Abe shooting case, the criminal may have political aspirations. The Japanese police have collected a lot of evidence through carpet searches, including the computers and mobile phones used by criminals, which must contain a large amount of information and clues. Judging from the video of the crime scene, if 3D printed guns were used, the criminals would definitely check and download 3D printing technical information on the computer, purchase raw materials and 3D printers. The police can find the bullet used by the criminal from the crime scene, check the material, size and craftsmanship of the bullet, determine the source of the bullet, and infer whether the bullet was made by the criminal himself or was the ammunition provided by a third party?
Through the smart public security big data platform, massive data on all guns and bullets can be retrieved for comparison and retrieval. The relevant personnel who make guns and bullets can be found, as well as the sources of raw materials and 3D printers. Through artificial intelligence technology, such as machine learning, we can conduct data mining and analysis, including police case analysis, element correlation analysis, research and judgment models, and gang discovery. From the Abe shooting case, data analysis can unearth the guns and bullets made by the criminals themselves. ? Or purchased guns and ammunition? Or are the guns and ammunition deliberately provided by a third party to use criminals to commit criminal acts to achieve political demands?
is based on the Wodard big data platform. Through the collection, processing, storage, analysis and data mining of massive data, according to the characteristics of the data, it uses appropriate visualization methods to intuitively display the data to help people know and understand the data. , while finding patterns or information contained in massive data, predicting future development trends, and conducting intelligent decision-making analysis, making data assets a core competitiveness.
