5results about How to "Avoid effectiveness" patented technology

The present application provides a coal seam gas extraction effective radius dynamic evaluation system based on porous linkage coupling, relates to the field of coal mine safety engineering and physical analysis technology, and through synchronous collection and standardized processing of multiple source parameters such as extraction orifice negative pressure, gas flow, gas concentration, extraction response time delay, coal seam original gas pressure and hole space information, the present application constructs extraction action impedance coefficient, porous linkage coupling coefficient and dynamic effective radius correction coefficient, and compares and evaluates with corresponding threshold value respectively. When the evaluation result is abnormal, the adaptive regulation and control strategy of negative pressure, time sequence and proportion of single-hole and multi-hole collaborative extraction is triggered, and after adjustment, re-evaluation is carried out, the dynamic correction and closed-loop optimization of extraction effective radius are realized, and the accuracy of coal seam gas extraction range evaluation and the safety and stability of extraction system operation are improved.

The application provides a luggage rack and a vehicle, and aims at at least solving the problem of difficult assembly of the luggage rack. The luggage rack is installed on a roof of the vehicle. The luggage rack comprises a main body, a decoration and a light-emitting part. The main body is buckled with the decoration to form an installation cavity with a ring-shaped peripheral wall. The light-emitting part is arranged in the installation cavity. During installation, the light-emitting part is arranged in the installation cavity, and then the decoration is buckled with the main body, so that the installation is completed. The installation difficulty is reduced, the assembly speed is improved, and the production efficiency is improved.

The invention discloses a single-station photovoltaic power prediction method based on vision and language multi-mode fusion, and relates to the technical field of new energy power generation power prediction, and the method comprises the following steps: S1, collecting historical power data, numerical weather forecast data, satellite cloud picture data at a corresponding moment, and weather text description data of a target photovoltaic power station; s2, performing normalization processing on the historical power data and the numerical weather forecast data to form numerical data; according to the method, four kinds of modal information including historical power data, numerical weather forecast data, satellite cloud picture visual data and weather text semantic data are fully fused, the limitation of a single data source of a traditional method is broken through, multiple factors influencing photovoltaic power can be comprehensively captured, richer information support is provided for prediction, and prediction precision is remarkably improved.

This application relates to the field of target monitoring technology, and more particularly to a method, product, device, and medium for generating target trajectories based on infrared monitoring. The method includes: during a drone's inspection along an initial inspection route, acquiring infrared monitoring data collected by an infrared detection device, image data collected by a camera device, and radar data collected by a radar, all mounted on the drone; determining a first position of the target based on the infrared monitoring data, a second position based on the image data, and a third position based on the radar data; inputting the first, second, and third positions into a preset fusion model to obtain the target position output by the preset fusion model; generating a target movement trajectory based on the target positions at each time point, and predicting the target's future movement trajectory based on the target movement trajectory. This application can improve the accuracy of target tracking.