Techmation : Empowering Low-Carbon Industry and Future Energy with AI

The 4th Cross-Strait Carbon Neutrality Summit brought together corporate leaders and representatives from both sides of the strait to exchange insights on green manufacturing, energy transition, low-carbon technological innovation, and industrial practices.


Currently, the green and low-carbon transformation of global manufacturing is deepening. Industrial enterprises must not only continuously improve production efficiency and product quality, but also face multiple demands such as reducing energy consumption, enhancing resource utilization efficiency, accommodating renewable energy integration, and strengthening the collaborative management of complex systems. Concurrently, the accelerated convergence of artificial intelligence, industrial data analytics, edge computing, and smart control technologies provides a new technological foundation for industrial systems to evolve from "automated operation" to "intelligent decision-making" and "low-carbon optimization."




During his presentation, Jerry Hsiung stated that low-carbon industrial development is not merely a matter of single-equipment energy saving or localized process optimization. Instead, it is a complex systems engineering challenge involving the coordinated operation of equipment, processes, materials, energy, and control strategies. On one hand, the volatility of energy supply brought by renewable energy integration imposes higher requirements on the stable operation and energy dispatching of industrial production. On the other hand, the manufacturing process itself is characterized by multi-variable, strongly coupled, and highly dynamic features. Traditional control methods that rely on empirical knowledge or fixed parameters leave room for further upgrades in resource optimization, quality stability, and energy efficiency. By combining AI algorithms and data science with real-time control systems, a closed-loop control capability spanning data collection, status recognition, intelligent decision-making, and precise execution can be formed, providing more effective technical support for low-carbon industrial development.


As an enterprise long dedicated to industrial automation and precision control technology, Techmation continues to carry out R&D and product positioning centered around the demands for high precision, high efficiency, and intelligence in manufacturing equipment. The company's control systems are widely utilized in fields such as plastics and rubber machinery, metalworking machinery, and automation equipment. Techmation will actively explore the combination of precision control capabilities with AI technology, power electronics, and energy management needs, driving the extension of control technology into more complex and technologically demanding application scenarios.


In terms of low-carbon manufacturing and the circular economy, taking the plastics and rubber manufacturing scenario as an example, the speech highlighted the supporting role of AI and precision control technology in the efficient utilization of materials. As the proportion of recycled materials increases, variations in material performance, process fluctuations, and changes in equipment operating status may impact product quality and production stability. By performing real-time collection and analysis of critical process data—such as position, pressure, speed, temperature, and control curves—and combining this with AI models to optimize process parameters and control strategies, Techmation helps enhance molding process stability, reduce material waste, and support the more stable and efficient application of recycled materials in production.


In terms of smart microgrids and energy dispatching, with the increasing deployment of solar power, energy storage, and distributed energy resources in industrial parks, green buildings, and zero-carbon zones, energy systems are gradually shifting from traditional unidirectional power supply to a collaborative operation model encompassing energy generation, consumption, storage, and conservation. Because renewable energy generation is inherently volatile and industrial loads change dynamically with production schedules and equipment status, energy systems require higher capabilities in real-time perception, predictive analytics, and intelligent dispatching. Leveraging its accumulation in complex control systems and power electronics technologies, Techmation is actively focused on smart microgrid control solutions, exploring technical pathways to improve green energy utilization efficiency and ensure the stable operation of energy systems through energy management, equipment collaboration, and intelligent dispatching.


In terms of future energy and high-dynamic control, the presentation introduced the exploration of precision control technology in frontier energy sectors such as nuclear fusion. The precise control of magnetic force is one of the vital technical elements for the stable operation of related devices. EEI, a wholly-owned subsidiary of Techmation, builds upon its technological expertise in complex control systems, power electronics, and high-dynamic response control to continuously monitor application opportunities for related solutions in the future energy sector, exploring the potential to expand industrial control capabilities into scenarios with higher technical demands.


Hsiung pointed out in his speech: "AI controllers are not only essential execution carriers for industrial equipment to achieve precise, efficient, and low-carbon operations, but will also serve as a crucial technological foundation connecting the efficient utilization of renewable energy with the precise control of future energy."




Facing the developmental trend of deep integration among green, digital, and intelligent manufacturing, Techmation will remain committed to its core business of industrial automation and precision control. Focusing on low-carbon manufacturing, smart energy, and frontier energy applications, the company will continuously strengthen R&D and industrial synergy, actively explore innovative pathways for the integrated development of AI, control systems, and energy systems, and contribute technological strength to the green transformation of manufacturing and the development of low-carbon industries through more precise, efficient, and intelligent control capabilities.



Disclaimer : The descriptions of related technical directions and product layouts contained in this article only represent the company's current technological research exploration and product direction planning vision. The progress of relevant products, solutions, or frontier technology applications is subject to multiple factors, including solution verification, customer demands, industrial policies, and market environments, and remains uncertain. Please refer to the official announcements published by the company through legally designated information disclosure channels.