In the project of building a new - generation intelligent monitoring and prevention platform, an integrated product architecture of front - end intelligent cameras + intelligent video analysis units + comprehensive security management platforms + north - bound access of upper - layer platforms is adopted to build a monitoring and prevention system featuring "full - domain monitoring, middle - layer computing power, and real - time upper - layer supervision". Through this prevention system, the ecological area has been upgraded from physical supervision to digital and intelligent supervision, greatly reducing the supervision cost and comprehensively improving the security prevention level and event response speed within the ecological red - line area.

Guarding the Red Line Wisely, Strengthening the Ecological Barrier

The ecological protection red line is the core control area for maintaining regional ecological security and ensuring the stability of the ecosystem. Constrained by factors such as complex terrain, vast scope, scattered points, and limited personnel patrol forces, the traditional supervision models of manual inspection and fixed - point guarding have prominent problems such as incomplete inspection coverage, delayed response and disposal, difficult evidence collection and traceability, and relatively high supervision costs, making it difficult to achieve full - domain and all - weather refined control.

· Taking a certain city as an example, the ecological red line within the city covers various ecological spaces such as mountains, forests, wetlands, and shorelines, with a large regional span and complex environment.

· There are risks such as illegal occupation, random construction, illegal reclamation, illegal grazing, fire hazards, and unauthorized entry of personnel. These hidden dangers are highly concealed and difficult to detect.

· Traditional security methods are passive and lagging, with supervision blind spots. The data of various departments are independent and information is not shared, forming data islands. It is impossible to provide early risk warnings, quickly handle events, and trace the whole process, resulting in great pressure on the security supervision of the ecological red line.

To implement the strict control requirements of the national ecological protection red line, solve the pain points of the traditional supervision model, and build a modern ecological supervision system featuring full - domain visualization, intelligent early warning, and closed - loop disposal, it is urgent to empower the security supervision of the ecological red line through intelligent technological means, realizing the upgrade from manual passive supervision to digital and active intelligent control, and comprehensively strengthening the regional ecological security barrier.

Customer Requirement Pain Points

｜Insufficient coverage and low efficiency of manual re - inspection

The ecological red - line area has a wide scope, complex terrain, and scattered locations. It is difficult to conduct manual inspections in mountains, forests, cliffs, coasts, wetlands, etc. Relying solely on manual labor, it is impossible to achieve 24/7 all - weather continuous monitoring. When facing problems such as fire hazards and unauthorized entry of personnel, the handling is often delayed.

｜Passive monitoring and weak prevention ability

Although traditional monitoring has the functions of real - time viewing and post - event review, it lacks the ability to perform intelligent identification and active early warning in the face of emergency events. It cannot issue timely warnings for illegal reclamation, vegetation damage, etc., and it is difficult to achieve pre - event prevention and in - event intervention.

｜Data islands and fragmented multi - data

The supervision of the ecological red line involves multiple departments. Traditional security systems operate independently from various business systems. Monitoring data, patrol data, and alarm data are not interconnected, making it impossible to achieve unified aggregation and shared access. It is difficult for the upper - layer supervision platform to achieve overall supervision.

Digital - Intelligence Integration, Strengthening the Ecological Defense Line

Based on the above pain points, this project deploys an integrated product architecture of front - end intelligent cameras + intelligent video analysis units + comprehensive security management platforms + north - bound access of upper - layer platforms, and builds a monitoring and prevention system comprehensive security management platform featuring "full - domain monitoring, middle - layer computing power, and real - time upper - layer supervision", with the following core capabilities:

｜All - weather intelligent perception

Based on front - end intelligent cameras, 24/7 continuous video collection within the area is realized. Combined with small - model algorithms, it can automatically identify personnel intrusion, human - machine non - detection, and animal and plant detection, achieving active early warning in all four corners of the whole area and greatly improving the efficiency of detecting hidden dangers.

｜Empowered by AI edge computing power

It supports the local storage, real - time upload of AI operation and analysis results, and end - cloud collaborative algorithm management. The intelligent video analysis unit is used for real - time analysis at the edge. Illegal events are identified and alarmed locally without the need to transmit the full - volume video back to the cloud, effectively reducing the transmission bandwidth and platform computing power pressure and ensuring the stable and efficient operation of the supervision system in complex mountain and shoreline scenarios.

｜Unified aggregation of multi - source data, breaking data islands

The comprehensive security management platform integrates all - dimensional data such as video monitoring, AI alarms, patrol records, and event disposal, breaks down the data barriers of departments such as natural resources, ecological environment, and local supervision, realizes unified aggregation and centralized management of data, supports north - bound access of the upper - layer supervision platform, and achieves overall scheduling across the whole domain.