Abstract: Various embodiments of the present technology relate to solutions for hydrocarbon equipment monitoring. In some examples, a detection system comprises a compute engine, a gimbal, a sensor suite, and an imaging system. The compute engine generates signaling that directs the gimbal to orient the imaging system, signaling that directs the imaging system to image the equipment, and signaling that directs the sensor suite to sense the equipment. The gimbal orients the imaging system based on the signaling. The imaging system images the equipment and transfers images depicting the storage equipment to the compute engine. The sensor suite senses the equipment and transfers sensor data that characterizes the equipment to the compute engine. The compute engine processes the data with a machine learning engine trained to determine the status of the equipment. The compute engine transfers a machine learning output that indicates the status to a downstream system.

Abstract: Various embodiments of the present technology relate to solutions for hydrocarbon equipment monitoring. Some embodiments include a system comprising a multimodal sensor platform, a collapsible lift, and a vehicle. The vehicle mounts and transports the collapsible lift. The collapsible lift mounts and elevates the multimodal sensor platform. The multimodal sensor platform generates infrared video data and visible spectrum video data of hydrocarbon storage equipment. The multimodal sensor platform generates feature vectors that numerically represent the infrared video data. The multimodal sensor platform provides the feature vectors to machine learning models trained to detect leaks and measure fill levels of the hydrocarbon storage equipment. The multimodal sensor platform obtains machine learning outputs that indicate when a leak exists and the fill level of the hydrocarbon storage equipment.

Abstract: Various embodiments of the present technology relate to solutions for hydrocarbon equipment monitoring. In some examples, a detection system comprises a compute engine, a gimbal, a sensor suite, and an imaging system. The compute engine generates signaling that directs the gimbal to orient the imaging system, signaling that directs the imaging system to image the equipment, and signaling that directs the sensor suite to sense the equipment. The gimbal orients the imaging system based on the signaling. The imaging system images the equipment and transfers images depicting the storage equipment to the compute engine. The sensor suite senses the equipment and transfers sensor data that characterizes the equipment to the compute engine. The compute engine processes the data with a machine learning engine trained to determine the status of the equipment. The compute engine transfers a machine learning output that indicates the status to a downstream system.