Quality Control of Bottling and Labelling Food Products with the use of Intelligent Technologies

The article is devoted to improving the efficiency of the food enterprise by developing and implementing an automated control system for the technological manipulator on the line of filling and labeling of food beverages using intelligent technologies. The article defines the relevance of the topic, provides a literary review of production lines for filling and labeling of food products, and analyzes the work on mathematical modeling of the kinematics and dynamics of machines and aggregates combined in food production lines, taking into account their interaction, their interaction with the environment. The necessity of solving kinematic problems, especially problems of reverse kinematics of the robot manipulator, is shown. The analysis carried out in the work showed. that the existing universal algorithms for calculating kinematics are simple to write in General, but due to a number of unavoidable disadvantages of resource consumption and have in some cases a large computational error. If technological manipulators are forced to work in areas where this method leads to significant computational errors, this may slow down the movement of the manipulator, which also leads to a decrease in productivity, or require forced changes to the operating mode in order to remove the working body from the center of the working area, which will take up more space for each manipulator. Therefore, instead of using a universal algorithm for calculating kinematics, it is proposed to use a set of simple trigonometric expressions for the conditions of specific movements, which allows maintaining the required accuracy throughout the entire working area. To control the manipulator, find the optimal trajectory, and interact with the reality model program (in the SolidWorks environment), we used programs created in the LabVIEW environment with NISoftMotion tools as a controller for controlling the position of the model. To automate the quality control of filling and labeling of food products and modernize the control system of the technological manipulator, algorithms for solving the inverse kinetic problem for robots such as PUMA, SCARA and KUKA, as well as software that implements the developed algorithms, have been developed. The results of the analysis of the use of the optical product recognition system, which takes into account the joint movement of the manipulator and the products, are shown. As a result of the research, a system of virtual prototyping of the mechatronic system has been developed, which allows selecting the manipulator motion control controller and the required motors and parameters for optimizing the filling line and labeling of food products using intelligent technology. Based on the results obtained, an improved model of the Puma 560 robot has been developed, which includes means for moving the manipulator using intelligent technologies, which will increase the efficiency of the filling line and food labeling, and improve their quality indicators.

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