Petroleum and Petrochemical Industry

Leveraging existing network communication infrastructure and utilizing intelligent video surveillance systems, data transmission systems, drones, outdoor …

Petroleum and Petrochemical Industry

Leveraging existing network communication infrastructure and utilizing inteligent video surveilance systems,drones,outdoor inspection robots,and other front-end hardware devices, we establish a comprehensive data analysis and processing platform. This platform integrates real-time data collected by front-end hardware devices for analysis and processing, enabling remote intelligent inspection functions. It partially or completely replaces manual inspections in production sites.

AIoT Intelligent Unified Inspection Platform

Support Camera Reuse

With the existing surveillance system, high-cost hardware replacement is unnecessary, enabling cost-effective intelligent upgrades.

Fusion Analysis of Multiple Algorithms

Support the simultaneous operation of multiple algorithms at a single point, meeting different functional requirements within the same scene and maximizing the use of hardware devices.

More Flexible Upgrade and Expansion

Modular algorithm design allows for flexible upgrading, expansion, and replacement of functions, supporting continuous intelligent upgrades in the future.

Convenient and Rapid Deployment

Lightweight deployment technology supports various modes such as private cloud, public cloud, and customized system integration.

Algorithm Presentation

Cloud Edge Collaborative Equipment Interconnected Alarm - Hazardous Gas Detection

Using a turret-type laser gas detection device, conduct a comprehensive scan within a 150-meter range of key areas within the station to detect the concentration values of toxic and harmful gases such as methane. Set backend data alarm thresholds to alert for abnormal gas concentrations.

The gas detection device is linked with cameras on the platform, and alarm images and alarm data are displayed uniformly.

Algorithm Center - Leak Detection

Using intelligent cameras at the front end to capture images of key areas and equipment, comparing them before and after. Employing image recognition technology and deep learning visual algorithms, the system conducts deep learning identification of equipment oil and liquid leaks. It can detect on-site conditions such as oil and water stains, and issue real-time alerts in case of anomalies.

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