4results about How to "Timely positioning" patented technology

The utility model discloses a kind of weld flaw detection detection devices, belong to weld flaw detection detection field, a kind of weld flaw detection detection device, including base, the side surface of base is fixedly installed with mounting bracket, the inside of mounting bracket top is provided with detection device, the top surface of mounting bracket bottom end is fixedly installed with rotating mechanism, the top of base is rotatably installed with preloading mechanism, the inside of the four corners of preloading mechanism is rotatably installed with placing mechanism, the top of placing mechanism is provided with clamping fixed mechanism, the top surface of preloading mechanism is fixedly installed with positioning mechanism in the inside of placing mechanism, it can realize simultaneously loading four flywheels, then sequentially rotating to detection position carries out flaw detection, so it can overlap detection time and flywheel preloading time, improve detection efficiency, finally through positioning component can ensure that each flywheel enters to predetermined position and carries out predetermined trajectory movement, improve the overall degree of automation of device, further improve the detection efficiency of device.

This invention provides a dynamic networking anti-interference diagnostic method for GIS sensors based on the K-nearest neighbor algorithm, belonging to the field of power Internet of Things (IoT) communication technology. The method includes: collecting raw data of multi-dimensional communication link characteristics between GIS sensor nodes within a time sliding window of a set size and sliding step, and performing Z-score standardization; calling a dynamic anti-interference training sample library with online incremental learning and forgetting mechanisms; using an improved K-nearest neighbor classification model that incorporates a time decay factor, determining the current communication link status category in real time by calculating weighted Euclidean distance, employing an adaptive K-value selection strategy based on sample density, and using Gaussian kernel function weighted voting; and finally triggering targeted adaptive frequency selection networking strategies or hierarchical fault warning operations based on the determined category. This invention can effectively distinguish between environmental interference and hardware faults in strong electromagnetic environments of GIS, significantly improving the communication reliability and self-healing capability of wireless sensor networks.

This invention belongs to the field of bridge and road early warning technology, specifically disclosing a method for early warning of bridge and road failure risks in plateau mountainous areas. By establishing a spatial matching relationship between the bridge exit section and the downstream road section and configuring the traffic delay interval, the deflection and vibration acceleration of the bridge exit are collected synchronously for anomaly identification. The anomaly window is projected onto the downstream road section, triggering local analysis of road images and ground-penetrating radar data to identify cracks and void locations, thereby expanding the monitoring range from the bridge exit to the spatially continuous downstream road section. After that, the defects identified on the road section are projected back onto the bridge time axis, and the time intersection with the anomaly window is judged and the correlation confidence is calculated. Then, multi-level risk warnings are performed based on the defect type and correlation confidence, thereby expanding the warning information from a single bridge response over-limit signal to a deep assessment with two-way verification of the bridge exit and the downstream road.

The application relates to a power distribution network fault interval positioning and identification method and system and relates to the field of power distribution network fault detection and positioning. In order to solve the problems that centralized DTU master control failure leads to complete loss of fault positioning and decentralized DTU communication interruption leads to cooperation failure, parameters and instructions issued by a master control unit are received, and collection data and state information of the interval unit are uploaded; electrical quantities and state quantities of primary switch devices corresponding to the interval unit are collected in real time; communication link quality between the interval unit and the master control unit is monitored in real time, and it is determined whether mode switching is triggered; when communication is abnormal, the fault judgment task is taken over, and fault positioning and identification of the interval are independently completed; action instructions from the master control unit or the local fault identification decision unit are received, and fault isolation instructions are executed to drive the primary switch devices to act. The application is mainly used for positioning and identifying fault intervals of a power distribution network.