ROUTE OPTIMIZATION FOR ENERGY INDUSTRY INFRASTRUCTURE INSPECTION

    公开(公告)号:WO2020206020A1

    公开(公告)日:2020-10-08

    申请号:PCT/US2020/026246

    申请日:2020-04-01

    Applicant: SEEKOPS INC.

    Abstract: Systems, devices, and methods including receiving, by a processor (302) having addressable memory (340), a spatial location of one or more known assets (102, 306, 308, 310); determining, by the processor, one or more clusters (202) based on the received spatial location of the one or more known assets; determining, by the processor, a bound (312) for each asset of the one or more known assets in each cluster; and determining, by the processor, a flight plan (204) for an aerial vehicle (316) for each cluster, where the flight plan surveys each asset in each cluster.

    RAPIDLY DEPLOYABLE UAS SYSTEM FOR AUTONOMOUS INSPECTION OPERATIONS USING A COMBINED PAYLOAD

    公开(公告)号:WO2021026215A1

    公开(公告)日:2021-02-11

    申请号:PCT/US2020/044978

    申请日:2020-08-05

    Applicant: SEEKOPS INC.

    Abstract: Systems, devices, and methods for a mobile vehicle (102), the mobile vehicle comprising a base station (104); an unmanned aerial vehicle (UAV) (106), where the UAV is launched from the base station; a payload (108) disposed on the UAV, where the payload is configured to generate payload data of at least one infrastructure (112, 158, 160), and where the payload data comprises at least one of: a gas sensor (146) data, an infrared imager for optical gas imaging (OGI) camera (148) data, an infrared imager tuned for radiometric measurement camera data, a visible camera (150) data, and a 3D mapping (156) data; and a processor (154, 164, 114) in communication with the UAV and the payload, where the processor is configured to determine an integrity of the at least one infrastructure based on payload data from the payload.

    LOCALIZATION ANALYTICS ALGORITHMS AND METHODS

    公开(公告)号:WO2019246283A4

    公开(公告)日:2019-12-26

    申请号:PCT/US2019/038015

    申请日:2019-06-19

    Applicant: SEEKOPS INC.

    Abstract: Systems, devices, and methods for receiving, by a ground control station (GCS) (106) having a processor (1702) with addressable memory (1706), a plurality of point source gas concentration measurements; receiving, by the GCS, a meteorological data corresponding to each point source concentration gas measurement; determining, by the GCS, if each point source gas concentration measurement is an elevated ambient gas concentration; generating, by the GCS, a back trajectory (904) for each elevated ambient gas concentration; storing, by the GCS, the position of each generated back trajectory in a grid; determining, by the GCS, a probability of a gas source location corresponding to the stored positions in the grid; and generating, by the GCS, an overlay (1302) showing the probability of the gas source location.

    Serviceable Dust Filter for Optical Based Gaseous Sensors

    公开(公告)号:US20250110030A1

    公开(公告)日:2025-04-03

    申请号:US18899876

    申请日:2024-09-27

    Applicant: SeekOps Inc.

    Abstract: Systems, devices, and methods including an optical cell assembly, comprising: an optical core based trace gas sensor configured to measure trace gas concentrations; and an optical cell sub assembly including: a housing configured to house the optical core based trace gas sensor; and a field-replaceable filter media configured to be detachably attached to a portion of the housing and allow ambient trace gas to enter into the optical cell sub assembly.

    Localization analytics algorithms and methods

    公开(公告)号:US12216105B2

    公开(公告)日:2025-02-04

    申请号:US17251089

    申请日:2019-06-19

    Applicant: SeekOps Inc.

    Abstract: Systems, devices, and methods for receiving, by a ground control station (GCS) having a processor with addressable memory, a plurality of point source gas concentration measurements; receiving, by the GCS, a meteorological data corresponding to each point source concentration gas measurement; determining, by the GCS, if each point source gas concentration measurement is an elevated ambient gas concentration; generating, by the GCS, a back trajectory for each elevated ambient gas concentration; storing, by the GCS, the position of each generated back trajectory in a grid; determining, by the GCS, a probability of a gas source location corresponding to the stored positions in the grid; and generating, by the GCS, an overlay showing the probability of the gas source location.

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