Smart Gas Station
Solution Overview
SOPHGO collaborates with SOPHON.TEAM and its ecosystem partners to build a smart gas station solution. Through the integration of deep learning technology and edge computing, the solution aims to achieve safe and compliant supervision in the oil unloading area, regulatory oversight of risks and hazards in the gas station, and intelligent management in the non-fuel zone. This comprehensive approach provides oil companies with efficient means of business management, ensuring the safe operation of gas stations.
Solution Value
Safe Oil Unloading
Utilizing intelligent deep learning algorithms combined with the Eight Steps of Unloading, this approach delves into the entire process of oil unloading, effectively enhancing the regulatory oversight of oil unloading operations for petroleum companies.
Risk and Hazard Identification
Intelligent identification and online alerting for environmental risks and behavioral hazards, ensuring the safety of the gas station by promptly addressing potential issues.
Social Stability Support
Aiding law enforcement in effectively combating irregular sales of bulk oil and gas, contributing to social stability and safety.
Typical Cases
Chat City Gas Station Project
Providing a comprehensive gas station intelligent video analysis solution for gas stations in the jurisdiction of Chat City. This solution integrates algorithms, computing power, and platforms. It enhances the coverage of monitoring videos in key areas such as fuel dispensers and oil storage tanks. Using video intelligent recognition and analysis technology, it identifies, alerts, and records instances of personnel violations and abnormal environmental conditions at the gas station. This enables automatic pre-monitoring alarms for gas stations in the region, strengthens safety control within the gas station, and meets the supervision requirements of higher-level authorities.
Heze Jurisdiction Gas Station Safety Supervision Project
In response to safety supervision requirements and on-site conditions of gas stations in the jurisdiction of Heze, a comprehensive solution is provided using deep learning video analysis. It involves real-time monitoring of operational aspects during the oil unloading process, such as the correct placement of fire extinguishers and adherence to static electricity release procedures. It conducts 24-hour automated detection of non-standard behaviors, such as making phone calls and smoking throughout the entire station. The project establishes a rapid response mechanism for emergencies, achieving second-level alerts in case of abnormal situations. It automatically retains relevant image data, enhances the efficiency of gas station safety management personnel, and meets the intelligent construction requirements of regulatory authorities.