7results about How to "Timely identification" patented technology

This invention discloses a semi-automatic assembly equipment for flexible copper busbar plugs. The flexible copper busbar plug includes a flexible copper busbar, a plug housing, and a sleeve. The equipment includes a rotary feeding mechanism with several carriers, and a first manual station, a second manual station, a positioning station, a crimping station, an inspection station, and a unloading station arranged sequentially along the rotation direction of the rotary feeding mechanism. The carriers are used to carry the flexible copper busbar plugs. The first manual station is used for pre-assembling the flexible copper busbar and plug housing onto the carrier. The second manual station is used for assembling the sleeve with the pre-assembled semi-finished products of the flexible copper busbar and plug housing mounted in the carrier. The unloading station includes an unloading clamping mechanism and an unloading conveying mechanism for unloading the finished flexible copper busbar plug. This invention adopts a semi-automatic design, combining manual pre-assembly with automated crimping and inspection, which reduces reliance on high-precision components and equipment costs, reduces the risk of frequent failures, and is more suitable for the production scenarios of small and medium-sized manufacturing enterprises.

The present application relates to the technical field of edge computing, and particularly relates to a mine environment intelligent monitoring method and system based on edge computing, which comprises: collecting multi-dimensional environment data under a mine; dividing a mine space into multiple local spaces based on three-dimensional coordinates of each sensor under the mine; determining an abnormal state value of a local space in a preset time period by using multi-dimensional environment data of the local space in the preset time period; obtaining a first initial category center point by using the abnormal state value and multi-dimensional environment data of the local space in a previous time period; obtaining a second initial category center point by using multi-dimensional environment data of the local space in a subsequent time period; iteratively updating the first and second initial category center points by using a Mini-Batch K-Means algorithm to obtain a risk value of the local space; and performing mine risk early warning based on the risk value. The present application can improve the real-time performance of underground security.

This invention discloses a method for arc detection and an arc relief device for the cable compartment of a switchgear, belonging to the field of power equipment fault handling technology. The arc detection method for the switchgear cable compartment of this invention periodically collects arc light data, current data, and pressure data, and then compares them with corresponding thresholds to confirm whether an arc has occurred. Simultaneously, it periodically collects environmental data and load data of the switchgear, updating some thresholds to make the arc fault identification more consistent with the specific installation environment and operating status of the switchgear. The arc relief device of this invention separates the arc detection circuit from the threshold update circuit; during the arc detection process, the threshold is in a latched state. This invention confirms the working priority through update signals, activation signals, and loading signals, avoiding conflicts between the arc detection and threshold update operation logic.

The application provides a target area monitoring method, device and storage medium. The target area monitoring method comprises: monitoring the stay duration of each object in a target area, wherein the target area comprises an isolation route and an area with a preset range on both sides of the isolation route; in the case that the stay duration of a target object in each object exceeds a preset time threshold, monitoring the laser receiving condition of a target receiver arranged in the target area; and determining whether a target event occurs in the target area according to the laser receiving condition. Through the target area monitoring method, the behavior that may cause a safety hazard can be found in time, i.e., it is determined that the target event occurs, and the efficiency and timeliness of finding the behavior that may cause a safety hazard are improved.

The present application relates to a multi-dimensional value evaluation method and system for scientific and technological information viewpoints based on fuzzy cumulative prospect theory, the method comprising the following steps: S1: constructing a scientific and technological information viewpoint value evaluation index system and calculating the accurate scores of several dimensions; S2: triangular fuzzy processing the accurate scores of several dimensions and calculating the comprehensive prospect value based on cumulative prospect theory; S3: linear normalization of the comprehensive prospect value of several dimensions to obtain the standardized score; S4: generating the star rating of the scientific and technological information and the corresponding decision suggestion. The system comprises an index calculation module, a fuzzy processing and prospect value calculation module, a linear normalization module and a grade evaluation module. The present application can realize comprehensive, objective and intelligent evaluation of the value of scientific and technological information viewpoints, and provides a scientific, intelligent, practical and interpretable value evaluation solution for the field of scientific and technological information analysis and decision support.

This invention belongs to the field of electrical digital data processing technology, specifically relating to a method for acquiring and processing torque impact signals from a PDC drill bit. The method includes: dividing torque data into several torque data windows; determining the torque waveform complexity of each torque data window; determining the rotational speed slip intensity and formation engagement complexity of each torque data window; determining the adaptive order of the AR model for each torque data window; performing predictive filtering on the torque data within each torque data window to obtain a prediction residual sequence for the torque data window; and extracting the torque impact signal based on the numerical characteristics of the prediction residual sequence. This invention overcomes the limitations of fixed-order AR models by analyzing the numerical characteristics of torque and rotational speed data and adaptively adjusting the order of the AR model, thereby filtering out background noise and improving the accuracy and robustness of the torque impact signal.

This invention relates to the field of single-board testing technology, specifically a single-board testing method and system based on logic configuration. The method includes: selecting several test boards based on a first human-computer interaction instruction on the test interface, and selecting several test cases based on a second human-computer interaction instruction on the test interface; a testing tool performing parallel testing on the several test boards through several network communication interfaces, and loading the corresponding several test cases; calling the test case logic file corresponding to each test case, and sequentially parsing and executing the logic rules in the test case logic file to obtain the execution result, and generating a test report. This method enables flexible selection of test boards and test cases, parallel testing of multiple test boards, and standardized configuration and precise execution of test logic, improving the efficiency, flexibility, and maintainability of single-board testing.