Online visual screw locking machine

Industry case background

With the rapid growth and strong demand of the 3C electronics industry, customers are increasingly emphasizing the improvement of visual inspection accuracy, production efficiency, product quality, and seeking ways to reduce costs. In this context, optimizing equipment control systems and configuring efficient and high-precision visual locking screw equipment control systems has become an urgent need for customers.

To address customer pain points, Zhongke Times has launched an online visual locking screw machine control system solution, which has significant advantages such as integrated calculation and control, easy-to-use openness, and breakthrough indicators.

Control system architecture:

Characteristics of SINSEGYE's solution:

1.Integrated Control and Computation

Hardware cost 30%

2.Efficiency improvement

-The minimum single axis control cycle is 125us.

-The production efficiency has been increased from 10 seconds/PCS to 8 seconds/PCS.

3.Easy-to-use & Strong scalability

-Rich communication protocols. Supports multiple industrial communication protocols such as DeviceNet, EtherCAT, EtherNet/IP, Modbus, OPC UA, and self-developed fast ACP communication. Facilitate the expansion of system structure and integration with upper level systems.

-Support development language programming defined by IEC61131-3 standard.

-The embedded rich feature library greatly improves programming efficiency.

-Provide a visual programming environment to shorten the development cycle of customer projects.

-Data Analysis: Provides DataScope oscilloscope software for displaying and analyzing variables in automated systems in a graphical manner. Greatly convenient for customers to analyze various application requirements.

-IO version management: For various IO brands and different slave stations, IO version management functions can be provided, allowing customers to easily manage multiple models with the same program.

-Support EtherCAT and DeviceNet slave management

-Built in multiple industrial robot algorithms