2results about How to "Easy to digitize" patented technology

The application discloses an automatic warehouse inventory method and system based on a warehouse-mounted RFID scanning unmanned aerial vehicle, and belongs to the technical field of warehouse logistics automation. The method comprises the following steps: a warehouse control server plans an unmanned aerial vehicle inventory route containing a scanning trigger point based on a warehouse three-dimensional model; the unmanned aerial vehicle autonomously flies along the route, and an RFID scanning module is automatically started by a trigger control unit to read a label when flying over a storage location trigger area; read data is real-timely returned to the server for binding and processing. The application realizes the full-process automation of the stereoscopic warehouse inventory operation, replaces the inefficient and dangerous manual inventory, utilizes the maneuverability of the unmanned aerial vehicle in combination with the non-contact reading of the RFID, greatly improves the inventory efficiency, safety and accuracy, has the advantages of flexible deployment, strong adaptability, support for multi-machine cooperation and the like, and is suitable for the inventory management of various large stereoscopic warehouses.

The invention discloses a steel structure paint area intelligent statistical method and system based on artificial intelligence and three-dimensional model fusion. The method comprises the following steps: firstly, extracting an initial surface area of a component from a BIM design model; on the basis of a built-in geometric rule base, coating-free areas such as welding seams, bolt holes, concrete wrapping sections and assembly binding surfaces are automatically recognized and deducted, and a theoretical net area is obtained; after the component is manufactured, a real-time curved surface model is reconstructed through three-dimensional laser scanning, and the area is corrected based on Gaussian curvature integration; in the coating process, an RGB-D camera and a U-Net + + visual model are adopted to recognize defects such as missed coating and sagging, and back projection is carried out on the defects to the quantized area and position of the three-dimensional model; and finally, a multi-dimensional dosage report and a quality early warning work order are automatically generated in combination with paint volume solid component parameters and are pushed to an MES system. According to the method, full-process automatic area statistics and closed-loop quality management are realized, and the precision and the construction digitization level are remarkably improved.