Modular sensor fusion platform for hydrocarbon storage equipment monitoring

A detection system to monitor a hydrocarbon storage environment, the detection system comprising:

• a compute engine;
• a gimbal communicatively coupled to the compute engine;
• a sensor suite communicatively coupled to the compute engine;
• an imaging system communicatively coupled to the compute engine and operatively coupled to the gimbal;
• a housing that mounts the compute engine, the gimbal, the sensor suite, and the imaging system, wherein the sensor suite is internally mounted to the housing and detachably coupled to the housing via a quick connect socket;
• the compute engine configured to:
• receive a command to view a piece of hydrocarbon storage equipment;
• generate control signaling that directs the gimbal to orient the imaging system and transfer the control signaling to the gimbal to orient the imaging system to view the piece of hydrocarbon storage equipment;
• generate image signaling that directs the imaging system to image the hydrocarbon storage equipment and transfer the image signaling to the imaging system;
• and
• generate sensor signaling that directs the sensor suite to sense the hydrocarbon storage equipment and transfer the sensor signaling to the sensor suite;
• the gimbal configured to receive the control signaling and orient the imaging system to view the piece of hydrocarbon storage equipment based on the control signaling;
• the imaging system configured to receive the image signaling, image the hydrocarbon storage equipment, and transfer image data that depicts the hydrocarbon storage equipment to the compute engine;
• the sensor suite configured to receive the sensor signaling, sense the hydrocarbon storage equipment, and transfer sensor data that characterizes the hydrocarbon storage equipment to the compute engine;
• and
• the compute engine configured to receive the image data and the sensor data, process the image data and the sensor data with a machine learning algorithm trained to determine a status of the hydrocarbon storage equipment, and transfer a machine learning output that indicates the status of the hydrocarbon storage equipment to a downstream system.