Enma Technology's smart gas station solution is a visual analysis solution that comprehensively applies AI intelligent algorithms, aiming to improve the safety and efficiency of refueling and unloading areas.
Refueling area algorithm:
Smoking detection: Analyze video streams through AI algorithms to detect whether someone is smoking in the refueling area to prevent fire risks.
Phone call detection: Use intelligent algorithms to identify whether someone is talking on a mobile phone in the refueling area to avoid potential explosion risks.
Firework detection: Use AI technology to monitor whether there is a fire source in the refueling area and detect potential fire risks in a timely manner.
Area intrusion detection: Uses intelligent algorithms to identify whether unauthorized persons have entered the refueling area to ensure security.
Oil unloading area algorithm (smart "seven-step oil unloading" algorithm):
Vehicle detection: Use AI to identify oil tank vehicles to ensure that only authorized vehicles can enter the oil unloading area.
Wheel chock placement: Intelligent algorithms monitor the placement of wheel chocks on oil tanks to ensure safe oil unloading operations.
Eliminate static electricity: Use AI technology to detect and control the release of static electricity to reduce the risk of fire caused by static electricity.
Place fire extinguishers: Intelligent algorithms identify the location of fire extinguishers to ensure they can be quickly found and used in an emergency.
Oil product unloading: Use AI recognition to monitor the process of oil product unloading to ensure that the operation is correct and in compliance with specifications.
Oil sample retention: Intelligent algorithms monitor the oil sample retention process to ensure the accuracy of the sample retention operation.
Post-unloading confirmation: The results of the oil-unloading operation are verified through AI algorithms to ensure the accuracy and completeness of the operation.
Personnel on duty throughout the entire process: Use the intelligent monitoring system to monitor personnel during the oil unloading process in real time to ensure that personnel are present and can intervene to deal with problems in a timely manner.
In addition, Enma Technology's smart gas station solution also empowers the camera with AI recognition capabilities to conduct comprehensive intelligent monitoring of people, vehicles, and objects on site, including but not limited to:
Tanker truck identification: Use AI technology to identify tanker vehicles to ensure that only authorized vehicles enter.
Vehicle electronic fence: Establish vehicle electronic fence through intelligent algorithms to control and manage vehicle entry and exit.
Oil pipe identification: Use AI technology to monitor and identify the existence and status of oil pipes to ensure the safety of pipelines.
Oil well cap opening identification: Use intelligent algorithms to identify oil well cap opening conditions to ensure safe operation.
Static clamp identification: Use AI technology to monitor and identify the use of electrostatic clamps to prevent dangers caused by static electricity.
Compliance detection of electrostatic discharge duration: Use intelligent algorithms to detect whether the duration of electrostatic discharge complies with specifications to ensure safety.
Conical barrel recognition: Use AI technology to identify the location and usage of conical barrels to ensure safe operation.
Fire extinguisher identification: Use intelligent algorithms to identify the location and availability of fire extinguishers to ensure rapid use in emergency situations.
Personnel intrusion and departure detection: Use AI technology to monitor whether personnel cross the border into dangerous areas or leave their posts to ensure safety.
Personnel gesture compliance detection: Use intelligent algorithms to detect whether personnel gestures comply with specifications to improve the accuracy of work operations.
The smart gas station solution implements comprehensive monitoring and safety management of the refueling area and unloading area through the application of AI intelligent algorithms, improving the safety and efficiency of the operation process.
