Driven by Industry 4.0 and Made in China 2025, mobile robots have ushered in rapid development. In this paper, a mechanical structure design scheme of heavy-duty mobile robot is proposed, including the design of drive scheme, etc. Based on the designed mechanical structure of heavy-duty mobile robot, a finite element model of the robot mechanical structure is established, and the stress distribution and deformation under the full-load condition are obtained through the static characterization of the robot model, and finally the road experiment is carried out for the robot, and the experimental results show that the mobile robot operates well under various working conditions and reaches the expected goal of the design. The experimental results show that the mobile robot runs well under various working conditions, and the heavy-duty mobile robot reaches the expected goal of the design.
To greatly improve the design efficiency and the prediction of the welding properties of on-site solder joints in the welding workshop, an intelligent calculation algorithm based on CATIA. API for secondary development of the solder joint level is designed. This algorithm, based on different interference collision radiation radii, calculates the correlation accuracy between different solder joints and BIW products, and extracts the BIW product information data related to the solder joints, to realize the automatic generation technology of digital and intelligent welding attribute BOM. On this basis, we use Python to write the linear regression algorithm in machine learning to train the welding attribute parameters of the solder joints.
KEYWORDS: Transportation, Intelligence systems, Manufacturing, Control systems, Control systems design, Mobile robots, Computing systems, Automation, Telecommunications, Industry
According to the characteristics of the stamping line, this paper designs a 20T intelligent handling robot, which realizes the automatic loading and unloading and handling of stamping sheets. The communication between the stamping line and the handling robot is established, and the stamping line and the handling robot are controlled by using the WCS and the dispatching system to realize the automation of the stamping workshop. Experiments have shown that the use of intelligent handling robots has increased the efficiency of the stamping line by 25%, and the processing accuracy has increased by 33%, which has greatly improved the level of factory automation, provided strong technical support for the overall layout of intelligent factory automation, and promoted intelligent manufacturing. High-end, green and intelligent development of the industry.
Aiming at the switching production mode of 4+n multi car series in a domestic luxury independent brand welding workshop, a new module production mode is formulated by combining three production modes of order production, pull production and high module production. The MES system is used to schedule the production plan of the welding workshop, reorganize and form independent module orders for each line, so as to meet the demand of 4+n car series on-line production at the same time. At the same time, by using the characteristics of each line, the position of each sub assembly line is monitored in real time through PLC, and the current production model is identified, detected, and information converted at the key position. At the same time, the corresponding solutions to the planned and unexpected situations are formulated.
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