It is not difficult to find that while public security application big data analysis technology is successfully applied in large-scale scenarios, it still shows limitations when implemented in smaller areas such as communities, streets, and large industrial parks. The potential of big data in serving public security practices has not been effectively unleashed. We should carefully analyze the existing problems, identify key points, implement precise measures, break through bottlenecks, and comprehensively promote the construction of public security big data.

The characteristics of public security applications are primarily real-time situations and command orders, supported by event prevention. This builds a system where events are prevented beforehand, incidents are controllable, cases have leads, and processes are traceable. To achieve this goal of preemptive event prevention, it is necessary to analyze the security situation of residential communities and office areas in advance. Under this requirement, public security big data has become an important factor in constituting public security combat effectiveness. Through analysis and judgment, the extensive collection, in-depth analysis, and application of public security information resources supported by big data will qualitatively change the form of police work, pushing it towards a more intelligent direction. How to precisely design and command police work with big data as the center has become the commanding height of reforming and innovating public security management.

Big data is a data set characterized by large capacity, multiple types, fast access speed, and high application value. Big data application involves complex collection of massive data from diverse sources and formats, and in small scenarios, it can collect, apply, store, and perform correlation analysis to discover new knowledge, create new value, and enhance new capabilities. It represents a new generation of information computing and service formats.

Development Trends

"Living and working in peace and contentment" has always been a desirable state of life. Today, with rapid economic development and improving living standards, people have increasingly higher demands and standards for quality of life.

Urban residential communities are the basic cells of society. Without the harmony and stability of these communities, there cannot be harmony and stability in society as a whole. In recent years, public security organs at all levels have strengthened measures, integrated resources, and deepened the construction of the security prevention and control system to fully promote the creation of safe communities. How to create safe communities with "good security situation, orderly vehicle parking, clean sanitary environment, and excellent service quality" is a pressing issue that needs to be addressed.

In "One Standard and Three Realities," the standard address refers to the standardized description of the geographic location of the living, working, and production and operation places of citizens, legal persons, and other organizations, determined or conventionally established by the competent authorities; the real population refers to all people actually residing in the jurisdiction; real houses refer to houses that have been permanently built in the jurisdiction; and real units refer to units that actually exist in the jurisdiction and have employees, including government agencies, groups, enterprises, and institutions, and their subordinate departments.

"One Standard and Three Realities," combined with big data applications, achieves management of urban communities, enabling effective positioning and judgment, truly addressing the details of safe city construction. The collection of "One Standard and Three Realities" data will realize managing people based on housing and managing people based on businesses, innovatively establishing a real population information management system. In addition to assisting in crime fighting and strengthening security management, it is also expected to provide other assistance to the public. For a long time, population management has been based on population household registration information. However, with the rapid development of the economy and society, the traditional household registration + certification population service management model is no longer sustainable. This is mainly reflected in the management of permanent residents, where inconsistencies between residence and household registration have become a common phenomenon. Relying on household registration makes it difficult to manage or locate people. In the management of the floating population, with the increasing frequency of cross-regional population movement, there is a significant gap between the registration rate of the floating population and the actual number of this group, making population management based on certification ineffective. Generally, floating personnel only actively report to the public security organs for registration when they need to obtain a driver's license or a temporary residence permit. This presents a significant drawback in the source of big data application collection.

As the end of the urban security system, the practice of building a community security prevention and control system is largely a concretization of the relevant business work of community policing. Community policing is the organic combination of police and community members to jointly discover and solve community security problems. Its basic connotation is that the police are based in the community, taking the provision of comprehensive police service as a guide, improving and strengthening police-public relations, achieving police-public cooperation, and aiming to govern community security problems. It emphasizes the principle of prevention first, focusing on the construction of community prevention and control mechanisms for illegal and criminal activities. The police frequently work with the public to find, analyze, and solve various hidden dangers or environments that breed illegal and criminal activities. In this respect, most of the business of community policing is related to community security prevention and control. Therefore, in practice, many public security organs equate the integration of community forces, community security publicity, community assistance and education, community reform and management, and community security prevention in the operation of community policing with the construction of the community security prevention and control system, which is actually a concretization of the relevant business work of community policing.

The Welbell "Skynet Project" video access control system, as an important part of the smart safe community and a major source of urban safety big data, can not only collect basic data, greatly saving manpower and material resources, but also conduct statistical analysis of the data.