3results about How to "Good for work efficiency" patented technology

The utility model discloses a kind of sewing workstations of hanging system, be set in hanging system, solve the problem that existing workstation cannot be well adapted to the processing of large-format textile, and affect the operating efficiency of operator.The hanging system includes loop track, and the sewing workstation is set in the outside of loop track along the trend of loop track, including incoming station support rail and outgoing station support rail.Inlet support rail and outgoing station support rail have gap between them, closed loop type conveying chain is provided at the position of gap, and conveying chain is used to convey carrier from the outlet end of incoming station support rail to the inlet end of outgoing station support rail.At least two separated support wheels are provided at the lower side of gap, and the support wheel supports conveying chain from the inner side of conveying chain, so that the bottom side part of conveying chain forms a certain length of retention part, and the retention part provides retention space for at least two separated carriers;Workstation is provided at the outside of retention part, and the height where retention part is located is adapted to workstation.

This application provides a machine learning-based intelligent cargo loading method and system, applied in the fields of artificial intelligence and air logistics technology. By collecting and processing multi-dimensional feature data of cargo, feature vectors and physical constraint parameters are constructed. With the help of a pre-trained deep learning model group, the stackability, fragility, and center of gravity stability of cargo after stacking are intelligently predicted. By combining the prediction results and constraint parameters, a multi-objective optimization model is established and the optimal stacking scheme that takes into account space, safety, and efficiency is solved. During execution, a real-time safety verification and dynamic backtracking mechanism are introduced to ensure the stability and reliability of the loading process. Through an online learning mechanism, actual operation data is accumulated to continuously update model parameters and optimization weights, realizing the system's self-evolution and closed-loop optimization. This achieves a fundamental transformation from unreplicable personal experience to sustainable evolution of system intelligence, significantly improving the intelligence level, safety reliability, and long-term operational efficiency of air cargo loading.

The harrow tool for the bulldozer comprises a flexible replacement assembly, the flexible replacement assembly comprises a straight shovel edge, a bearing plate and a triangular shovel edge, the bottom of a harrow tool body is movably connected with the straight shovel edge and the bearing plate, and the bottom of the bearing plate is fixedly connected with the triangular shovel edge; the flexible replacement assembly further comprises a C-shaped plate, bearing blocks and inserting blocks, the back of the harrow tool body is fixedly connected with the C-shaped plate, the bearing blocks are fixedly installed on the back of the straight shovel edge and the back of the bearing plate, the inserting blocks are fixedly connected to the tops of the bearing blocks, and the inserting blocks are movably connected between the C-shaped plate and the harrow tool body. According to the utility model, the insertion block can be mounted and dismounted, and the straight shovel blade and the triangular shovel blade can be replaced and mounted, so that the shovel blade can be adaptively replaced according to different use environments and land properties, and the optimal operation efficiency is ensured to be maintained.