Abstract: The embodiment of the present disclosure provides an Industrial Internet of Things system for inspection operation management of an inspection robot and a method thereof. The system includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform that are interacted sequentially from top to bottom. The management platform is configured to perform operations including: determining an inspection task, the inspection task including detecting at least one detection site; sending instructions to an inspection robot based on the inspection task to move the inspection robot to a target position to be inspected; obtaining detection data based on the inspection robot, and determining subsequent detection or processing operations based on the detection data.

Abstract: The embodiments of the present disclosure provide a method and smart gas Internet of Things (IoT) system for determining a gas abnormity for a safe gas use. The method is implemented by a smart gas IoT system including a smart gas user platform, a smart gas service platform, a smart gas safety management platform, a smart gas indoor device sensing network platform, and a smart gas indoor device object platform. The method is performed by the smart gas safety management platform, including: receiving request information of a target user, the request information including a request of the target user for analyzing a gas abnormity cause; extracting user data based on the request information, and extracting gas data based on the user data; and determining, based on the user data and the gas data, analysis information of the gas abnormity cause.

Abstract: An image depth estimation method, including: obtaining a reference frame corresponding to a current frame and an inverse depth space range of the current frame; performing pyramid downsampling processing on the current frame and the reference frame respectively to obtain k layers of current images corresponding to the current frame and k layers of reference images corresponding to the reference frame, where k is a natural number greater than or equal to 2; and performing inverse depth estimation iteration processing on the k layers of current images based on the k layers of reference images and the inverse depth space range to obtain inverse depth estimation results of the current frame.

Abstract: A point cloud fusion method, an electronic device, and a computer storage medium are provided. The method includes: determining, according to at least two influence factors in scene information and/or camera information, depth confidences of pixel points in a current frame depth map, where the scene information and the camera information each at least includes one influence factor; and performing point cloud fusion processing on the pixel points in the current frame depth map according to the depth confidences.

Abstract: A silicone-polyester composition and a process of forming a silicone-polyester composition are provided. The silicone part of the silicone-polyester composition contains Tph and Q units and is free of D units. A polyester precursor and a silicone precursor are mixed and reacted together so as to form a silicone-polyester composition wherein the silicone part contains Tph, Q units and optionally TMe units. The silicone-polyester composition can be used to form a coating on a substrate, and the substrate is made of aluminum, stainless steel, iron, plastics or glass.