MODULAR SENSOR FUSION PLATFORM FOR HYDROCARBON STORAGE EQUIPMENT MONITORING
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. The multimodal sensor platform transfers a report that comprises the video data and that indicates leaks and the fill level.
1 . A system comprising:
a multimodal sensor platform, a collapsible lift, and a vehicle;
the vehicle configured to mount and transport the collapsible lift;
the collapsible lift configured to mount and elevate the multimodal sensor platform; and
the multimodal sensor platform configured to:
generate infrared video data and visible spectrum video data of hydrocarbon storage equipment;
generate feature vectors that numerically represent the infrared video data;
provide the feature vectors to machine learning models trained to detect leaks from the hydrocarbon storage equipment and measure a fill level of the hydrocarbon storage equipment;
obtain machine learning outputs that indicate when a leak exists from the hydrocarbon storage equipment and the fill level of the hydrocarbon storage equipment; and
transfer a report that comprises the visible spectrum video data, the infrared video data, a leak indication, and a fill level indication.
2 . The system of claim 1 wherein the vehicle comprises a truck.
3 . The system of claim 1 wherein the vehicle comprises a van.
4 . The system of claim 1 wherein the vehicle comprises a trailer.
5 . The system of claim 1 wherein the collapsible lift comprises a boom lift.
6 . The system of claim 5 wherein the boom lift comprises an articulating boom lift.
7 . The system of claim 5 wherein the boom lift comprises a telescopic boom lift.
8 . The system of claim 1 wherein the collapsible lift comprises a mast.
9 . The system of claim 1 wherein the collapsible lift comprises a crane.
10 . The system of claim 1 wherein the collapsible lift comprises a scissor lift.
11 . The system of claim 1 wherein the vehicle comprises one or more jack stands configured to stabilize the vehicle.
12 . The system of claim 1 wherein the collapsible lift comprises one or more guy wires configured to stabilize the collapsible lift.
13 . The system of claim 1 wherein the collapsible lift is configured to:
move to an extended position to raise the multimodal sensor platform when the vehicle is stationary and proximate to the hydrocarbon storage equipment; and
move to a collapsed position to lower the multimodal sensor platform when the vehicle is mobile.
14 . The system of claim 13 wherein the collapsible lift comprises one or more hydraulic arms configured to move the collapsible lift to the extended position and to move the collapsible lift to the lowered position.
15 . A method comprising:
extending a collapsible lift mounted to a vehicle to raise a multimodal sensor platform mounted to the collapsible lift to an elevated position when the vehicle is stationary and proximate to hydrocarbon storage equipment;
generating, by the multimodal sensor platform, infrared video data and visible spectrum video data of the hydrocarbon storage equipment;
generating, by the multimodal sensor platform, feature vectors that numerically represent the infrared video data;
providing, by the multimodal sensor platform, the feature vectors to machine learning models trained to detect leaks from the hydrocarbon storage equipment and measure a fill level of the hydrocarbon storage equipment;
obtaining, by the multimodal sensor platform, machine learning outputs that indicate when a leak exists from the hydrocarbon storage equipment and the fill level of the hydrocarbon storage equipment; and
transferring, by the multimodal sensor platform, a report that comprises the visible spectrum video data, the infrared video data, a leak indication, and a fill level indication.
16 . The method of claim 15 further comprising retracting the collapsible lift to lower the multimodal sensor platform from the elevated position in response to transferring the report.
17 . The method of claim 15 further comprising extending jack stands from the vehicle to stabilize the collapsible lift.
18 . The method of claim 15 wherein the collapsible lift comprises guy wires to stabilize the collapsible lift when extended.
19 . The method of claim 15 wherein the collapsible lift comprises a boom lift.
20 . The method of claim 19 wherein the boom lift comprises one of an articulating boom lift or a telescoping boom lift.