This disclosure describes monitoring and operating subsea well systems, such as to perform operations in the construction and control of targets in a subsea environment. A submerisble ROV that performs operations in the construction and control of targets (e.g., well completion components) in a subsea environment, the ROV has one or more imaging devices that capture data that is processed to provide information that assists in the control and operations of the ROV and/or well completion system while the ROV is subsea.

Methods and Internet of Things (IOT) systems for smart gas pipeline maintenance based on human-machine linkage are provided. The IoT system includes a smart gas user platform, a smart gas service platform, a smart gas pipeline network safety management platform, a smart gas pipeline network sensor network platform, and a smart gas pipeline network object platform. The method includes determining a first cycle based on data of a pipeline to be maintained, a feature of a maintainer, and/or a feature of a maintenance robot, obtaining, through a maintainer terminal and/or the maintenance robot, first feedback data based on the first cycle, determining, based on the first feedback data and the data of the pipeline to be maintained, a maintenance parameter and sending the maintenance parameter to the maintainer terminal, and generating, based on the maintenance parameter, a control instruction and sending the control instruction to the maintenance robot.

A method includes: receiving, at a mobile robot from a central server, a rescue command including a rescue location corresponding to an incapacitated mobile robot; controlling a locomotive assembly of the mobile robot to travel towards the rescue location; capturing, using a sensor of the mobile robot, sensor data representing the rescue location; at the mobile robot, identifying the incapacitated mobile robot from the sensor data; controlling the locomotive assembly to position the mobile robot in a predetermined pose relative to the incapacitated robot; and controlling a charging interface of the mobile robot to transfer energy from a battery of the mobile robot to a battery of the incapacitated mobile robot.

A mobile autonomous manufacturing system including an autonomously mobile main device (10) performing a manufacturing task, a first auxiliary device (11) adapted to autonomously supply energy to the main device (10), a second auxiliary device (12), adapted to autonomously supply manufacturing items to the main device (10). A method for operating such a mobile autonomous manufacturing system, in which the auxiliary devices (11,12) move autonomously to and from the main device (10) and synchronously with the main device (10) when supplying the main device (10).

Methods and Internet of Things (IOT) systems for smart gas pipeline maintenance based on human-machine linkage are provided. The IoT system includes a smart gas user platform, a smart gas service platform, a smart gas pipeline network safety management platform, a smart gas pipeline network sensor network platform, and a smart gas pipeline network object platform. The method includes determining a first cycle based on data of a pipeline to be maintained, a feature of a maintainer, and/or a feature of a maintenance robot, obtaining, through a maintainer terminal and/or the maintenance robot, first feedback data based on the first cycle, determining, based on the first feedback data and the data of the pipeline to be maintained, a maintenance parameter and sending the maintenance parameter to the maintainer terminal, and generating, based on the maintenance parameter, a control instruction and sending the control instruction to the maintenance robot.

Methods and Internet of Things (IoT) systems for prediction and maintenance of a smart gas pipeline are provided. A the smart gas pipeline network safety management platform is configured to: determine a first cycle based on data of a pipeline to be maintained, a feature of a maintainer, or a feature of a maintenance robot; obtain first feedback data based on the first cycle; determine a fault level based on the data of the pipeline to be maintained; determine a pre-maintenance risk based on the fault level and the first feedback data; determine, based on the first feedback data, the data of the pipeline to be maintained, and the pre-maintenance risk, a maintenance parameter and send the maintenance parameter to the maintainer terminal; generate, based on the maintenance parameter, a control instruction and send the control instruction to the maintenance robot; adjust the pre-maintenance risk based on a post-maintenance risk.

A prism for reflecting a laser includes: a single mounting cap at a first end of the prism, and first to seventh trihedral corner (TC) reflectors, each including a reflective surface including: three side edges, and three corners at respective intercept points between the side edges, wherein the seventh TC reflector, among the first to seventh TC reflectors, is on a second end of the prism opposite to the first end of the prism.

Server processing circuitry is configured to: determine a work site that requires work; and transmit site information indicating the work site, to a movable body communicator. Movable body processing circuitry is configured to: receive the site information from a management server through the movable body communicator; generate based on the site information a movement command for making an autonomous movable body autonomously move to the work site; acquire support information for the work at the work site; and output the support information to a worker through a man-machine interface when the autonomous movable body has arrived at the work site.

This disclosure describes monitoring and operating subsea well systems, such as to perform operations in the construction and control of targets in a subsea environment. A submersible ROV that performs operations in the construction and control of targets (e.g., well completion components) in a subsea environment, the ROV has one or more imaging devices that capture data that is processed to provide information that assists in the control and operations of the ROV and/or well completion system while the ROV is subsea.

Robotic systems and associated methods are described herein. The robotic system may collect measurements from various sensors corresponding to motion of the robotic system, the surrounding environment of the robotic system, or both. The robotic system may generate measurement data based on the collected measurements. Measurements from a particular sensor may be processed in conjunction with different sensors of the robotic system, which may facilitate more accurate or more useful measurement data. The systems and methods of the present disclosure enable the detection, labeling, and locating of features in real time or near real time using the robotic system with little or no reliance on human interaction to detect and map the features. The disclosure provides enhanced accuracy and efficiency as it enhances the functionality and reduces the reliance on human detection of features.