Revolutionizing High-End Manufacturing with NSPIC-R006NP+ Intelligent Controller

In today’s manufacturing sector, highly intelligent production models have become the industry standard. On the production lines of these factories, collaborative intelligent machines are widely used, benefiting from the transformative power of AI in every link from component recognition and handling to complex assembly processes.

Under the control of intelligent systems, production equipment can perceive modalities in real-time, self-adjust, and even possess self-awareness, ensuring stable production quality and achieving high production efficiency.

Keeping pace with the times, smart factories bring unprecedented experiences and opportunities to various industries. The new generation product launched by GuoXun Micro: NSPIC – R006NP + the embodied intelligent core controller base and industrial automation software NSS (NECRO Super Studio) serves as a powerful engine behind some leading smart factories, injecting new transformative power into industrial automation.

• NSS provides a standard IEC61131 – 3 PLC programming environment, including various programming methods such as Ladder Diagram (LD), Structured Text (ST), Function Block Diagram (FBD), Sequential Function Chart (SFC), and Continuous Function Chart (CFC). This offers industrial automation engineers a multifunctional toolbox, allowing them to find the most suitable programming method for any complex production logic and control needs.

  In some complex motion control systems, it may be necessary to use Ladder Diagram, ST language, and FBD function blocks simultaneously to achieve complete control logic. For instance, in a three-axis positioning control system, a Ladder Diagram can be used for basic logical and sequential control; ST language can be used for complex algorithms and calculations; and FBD function blocks can be used for modular and reusable control logic. These programming languages and methods can complement and collaborate with each other to achieve efficient, reliable, and flexible motion control.

• It supports various buses such as EtherCAT, CANOPEN, Modbus, Ethernet/IP, ProfiNet, OPC UA, and can access SECS/GEM standards to meet the diverse needs of high-end manufacturing in the semiconductor industry. In semiconductor chip manufacturing factories, through the EtherCAT bus, NSS can achieve high-speed real-time control of high-precision equipment such as lithography machines and etching machines, ensuring that every nanometer-level process step in chip manufacturing is as precise as possible; simultaneously, by accessing SECS/GEM standards, it seamlessly integrates with the factory’s production management system for real-time monitoring of production data and quick response to management decisions.

• The standard PLCOPEN motion control algorithm library includes functions such as single-axis, multi-axis, axis groups, electronic gears, cam and cam tables, planar and spatial linear, and circular interpolation. In robotic automated welding scenarios, utilizing multi-axis motion control and circular interpolation functions, robots can perform welding operations precisely along complex welding trajectories, achieving a qualitative leap in weld seam flatness, welding strength, and speed compared to traditional manual welding.

• The only domestic autonomous multi-EtherCAT master synchronization support meets various intelligent manufacturing high-end applications such as magnetic levitation flexible ultra-long lines and integrated drive semiconductor machines. In large flexible manufacturing production lines, by assigning different regional equipment sensors to different master stations, high-speed collaboration can be achieved with a full-load control cycle of 125 µs, realizing high synchronization and flexible production across the entire production line.

• Supports 2D, 3D machine vision deep learning and ChatGPT multimodal generative AI and LLM, with the upcoming LVM support bringing more possibilities to industrial automation. In the intelligent quality inspection phase, through 2D and 3D machine vision deep learning algorithms, NSS can perform high-precision inspections of product appearance. Meanwhile, leveraging ChatGPT multimodal generative AI and LLM, engineers can interact with the system through natural language, quickly obtaining production optimization suggestions and fault diagnosis solutions, significantly improving production maintenance efficiency.

In traditional production models, there are often issues with excessive media and complex hierarchies. When the product line of a workstation becomes complex, each workstation is equipped with an independent PLC to control 2D and 3D cameras. At the same time, the PLC needs to collaborate with the robot controller to operate the robotic arms, and the grippers at the end of the robotic arms must also perform corresponding tasks under this collaboration.

In this state, the entire production rhythm is severely affected, and the interoperability of protocols between different devices is poor, resulting in very low system flexibility, greatly limiting production efficiency and the ability to respond to changes.

“In the future, through ubiquitous robots, ubiquitous sensors, and ubiquitous intelligence, we will achieve ubiquitous manufacturing.”

Experts say, “The future trend of manufacturing is human-machine integration,” and the path of embodied intelligence development also needs to iterate and upgrade in underlying innovation and application scenarios. We hope that NSPIC – R006NP + can further enhance computing power and axis control capabilities, support more complex neural networks and intelligent algorithms, and make progress in optimizing adaptability in specific scenarios. NSS will also optimize and expand in programming environments, data analysis capabilities, and algorithm libraries, providing stronger software support for industrial automation. Together, they focus on certain niche areas, gradually launching end-to-end solutions, bringing more surprises and breakthroughs to the development of industrial intelligence.

Despite facing challenges, the potential is enormous and worth looking forward to.