The integration of cleaning and testing machines with industrial robots can achieve automation and intelligence in the production process, but multiple technical integration issues need to be addressed during the integration process.
The precise docking of mechanical interfaces is the foundation. To ensure a repeat positioning accuracy of ≤ 0.1mm between the end effector of the robot and the feeding port of the equipment, extremely high requirements are placed on the design and manufacturing accuracy of the mechanical structure. In the design phase, it is necessary to collaborate on the mechanical structure of the robot and the cleaning and testing machine to ensure that their installation dimensions, interface shapes, and positions match each other. For example, using 3D modeling software for virtual assembly, simulating the robot's motion trajectory, and checking for interference phenomena. In the manufacturing process, high-precision machining equipment such as five axis machining centers are used to ensure the machining accuracy of mechanical parts. During installation, high-precision measuring instruments such as laser interferometers are used to calibrate the position of the robot and equipment, ensuring that the repeatability accuracy meets the requirements. In addition, it is necessary to consider the rigidity and stability of the mechanical structure to avoid equipment vibration caused by inertial forces during robot movement, which may affect the accuracy of cleaning and detection.
The smooth communication of electrical interfaces is crucial. Real time communication between devices and robot PLCs (programmable logic controllers) is achieved using industrial Ethernet protocols such as Profinet or EtherCAT. These protocols have the characteristics of high speed, reliability, and strong real-time performance, which can meet the needs of large-scale data transmission between devices and robots, such as robot motion instructions, device status feedback, etc. In the electrical design process, it is necessary to layout the communication lines reasonably, use shielded cables to reduce electromagnetic interference, and ensure the stability of signal transmission. At the same time, it is necessary to collaborate on the development of PLC programs for equipment and robots, write corresponding communication programs, and achieve instruction interaction and data sharing between the two. For example, when the robot completes the feeding action, it sends a signal to the cleaning and detection machine through a communication protocol to start the cleaning and detection program; After the cleaning and testing are completed, the equipment will then provide feedback on the testing results and cutting instructions to the robot, achieving automated control of the entire production process.
Accurate calibration of visual interfaces is a guarantee. Establish the conversion relationship between the robot coordinate system and the vision system coordinate system through the calibration board, ensuring that the grasping position error is less than 0.5mm. The calibration process usually uses classic methods such as Zhang's calibration method. By taking images of the calibration board at different angles, the rotation matrix and translation vector between the two coordinate systems are calculated to achieve coordinate conversion. In practical applications, due to factors such as equipment installation errors and environmental changes, calibration results may deviate. Therefore, it is necessary to regularly recalibrate the vision system to ensure grasping accuracy.