By relying on the machine vision model, we integrate technologies such as quantitative filling, image analysis and twin simulation to create solutions for intelligent filling with “Automatic Positioning+Quantitative Filling” as the core, so as to realize the intelligent transformation and upgrading of filling scenarios, and effectively fill the gap in the field of liquid filling automation.
Tank truck is a significant tool for liquid transportation. Under the background of digital transformation, the demand for efficient, safe and automated loading of liquid storage tanks in the chemical industry is ever-increasing.
In view of the complicated offline filling process, manual operation during the filling process, low efficiency of filling operation, high safety risks in the operation process and other problems faced by the atmospheric liquid filling scenario, we establish a loading arm motion model and identification and positioning algorithm, comprehensively use machine vision, IOT, digital twin, PLC, software definition and other technologies to build a full-automatic, intelligent and visual man-machine interaction platform, which can systematically integrate the enterprise order system, weighing system and quantitative filling, create an intelligent filling system with “Automatic Positioning” as its core, and realize the automatic filling through intelligent transformation, so as to realize the goals of efficient identification, precise positioning, accurate quantification and remote centralized management, fundamentally eliminate the safety hazards of manual filling, support all-weather vehicle filling, and help enterprises to realize the capabilities of cost decreasing and benefit increasing and intrinsic safety improvement.
1. In terms of safety effects, we realize the unmanned filling loading arms, and reduce the probability of staff injury during the filling process;
2. In terms of efficiency improvement effects, the filling efficiency is increased by 150%, and the filling time is decreased by 50%;
3. In terms of staff reducing and efficiency increasing, we realize the all-day filling, the filling cycle is increased by 300%, and the on-site operators are reduced by 75%;
4. In terms of safety production, we enhance the intrinsic safety and intelligent management level of production environment, and effectively implement the safety responsibilities of enterprises.