2results about How to "Solve difficult puzzles" patented technology

This invention discloses an online prediction method for battery SOC based on an incremental correlation vector machine (RVM) strategy using a multi-kernel ensemble approach. The method includes the following steps: Step 1, data preprocessing; Step 2, training set sampling; Step 3, kernel function selection; Step 4, model training; Step 5, model validation; Step 6, adaptive kernel parameters; Step 7, RVM model ensemble; Step 8, model prediction; Step 9, incremental learning strategy; and Step 10, online incremental prediction. From a practical perspective, this invention addresses the complexities and diverse needs of various applications. Drawing on the ideas of incremental learning and ensemble learning, it generates highly differentiated RVM individual learning models containing multiple kernel functions through dual perturbation of training samples and kernel functions. Combined with a novel incremental ensemble strategy, it avoids the problem of model overlearning, improves the model's generalization ability and robustness, and expands its application scope.

This utility model discloses an auxiliary tooling for threading drill bits, including a base with base posts at each of the four corners of the lower end face of the base; a square blind hole is formed in the center of the base, and a bearing seat is provided in the square blind hole; a through circular hole is formed in the center of the bearing seat, and a cross post is provided in the through circular hole; a bearing is provided between the cross post and the bearing seat; the cross post includes a guide post, a base plate, and a post body connected sequentially from top to bottom, the guide post is conical, and a spring is sleeved on the post body. This utility model not only reduces the number of times workers need to change the threading auxiliary tooling, reducing the labor intensity of workers, but also effectively solves the problem of difficult threading on site, greatly improving on-site operation efficiency and reducing operational safety risks.