Siemens: Accelerating AI Integration to Break Through Low-Carbon Transition Dilemmas

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HIMATRIX F3 DIO 8/8 01 H4135A 07CT41 1SBP260022R1001 VME172PA 652SE MVME31006E-1152 5201-MNET-DFNT 6SL3120-1TE21-0AD0 SINGLE MOTOR MODULE SIEMENS SINGLE MOTOR MODULE

Aug 13, 2025

In the context of global efforts to achieve carbon neutrality, industries are facing unprecedented pressure in the low-carbon transition. High energy consumption, inefficient resource utilization, and difficulty in balancing economic benefits with environmental protection have become "dilemmas" that enterprises urgently need to solve. In this critical period, artificial intelligence (AI) has emerged as a powerful weapon to break through the bottleneck. As a pioneer and innovator in industrial AI, Siemens has been deeply involved in the field of artificial intelligence for decades, using solid technical strength to help industries get out of the low-carbon transition predicament.

The Urgent Need of the Times: The Dilemma of Low-Carbon Transition Calls for AI Empowerment

The low-carbon transition has become a global consensus, but the road to it is full of challenges. Traditional industrial production models are highly dependent on fossil energy, and the transformation of production processes involves huge costs and technical risks. Enterprises are caught in a dilemma: on the one hand, they must respond to the call of environmental protection and reduce carbon emissions; on the other hand, they are worried that the transformation will affect production efficiency and economic benefits. In addition, the complexity of industrial systems, the fragmentation of data, and the lack of professional talents have further hindered the progress of low-carbon transformation.

At this time, AI technology shows its unique value. With its powerful data analysis, intelligent prediction, and autonomous decision-making capabilities, AI can optimize energy management, improve resource utilization efficiency, and reduce energy waste in industrial production. It can also predict equipment failures in advance to avoid production interruptions caused by unexpected shutdowns, thus achieving a win-win situation between economic benefits and environmental protection. Therefore, accelerating the integration of AI and industrial scenes has become the key to breaking through the low-carbon transition dilemma.

Decades of Deep Cultivation: Siemens' Long-Term Layout in AI Field

Siemens' exploration in the field of AI is not a temporary choice but a long-term strategic layout. As early as 1970, when AI was still in its infancy, Siemens had already keenly insight into its huge potential in industrial development and began to invest in AI research and development. Over the past few decades, Siemens has been unswervingly moving forward on the road of AI innovation, constantly accumulating experience and technical strength.

Through continuous efforts, Siemens has built a strong AI team. Today, it has 1,500 AI engineers who are proficient in various AI technologies and have a deep understanding of industrial business scenarios. These engineers have become the core force for Siemens to promote AI innovation. At the same time, Siemens has also accumulated rich intellectual property rights in the field of AI. Up to now, it has obtained more than 3,700 AI-related patents, covering machine learning, deep learning, natural language processing, and other multiple fields. This strong technical accumulation has laid a solid foundation for Siemens to develop high-quality AI solutions for low-carbon transition.

Breaking the Dilemma: How Siemens' AI Technology Helps Low-Carbon Transition

Siemens integrates AI technology into various links of industrial production to provide strong support for enterprises' low-carbon transition. In terms of energy management, Siemens' AI system can collect and analyze real-time data of energy consumption in factories, find out the energy-saving space, and automatically adjust the operation parameters of equipment to achieve the optimal energy utilization efficiency. For example, in a steel plant, the AI system can predict the energy demand according to the production plan and adjust the power supply mode in real time, thus reducing the energy waste.

In terms of equipment maintenance, Siemens' AI technology can realize predictive maintenance of equipment. By monitoring the operation status of equipment and analyzing the historical data, the AI system can predict the possible faults of equipment in advance and send out maintenance reminders. This not only avoids the sudden shutdown of equipment and reduces the production loss but also reduces the energy consumption and material waste caused by improper maintenance.

Practical Cases: The Effect of Siemens' AI in Low-Carbon Transition

The role of Siemens' AI technology in promoting low-carbon transition is not only reflected in theory but also has been verified in a large number of practical cases. In a car factory, after introducing Siemens' AI energy management system, the energy consumption per unit product decreased by 15%, and the annual carbon emission reduction reached tens of thousands of tons. The AI system can accurately control the operation of various equipment in the factory according to the production rhythm, avoiding the energy waste caused by idle equipment.

In a power plant, Siemens' AI predictive maintenance system has greatly improved the reliability of equipment operation. The number of unplanned shutdowns of the power plant has been reduced by 30%, and the maintenance cost has been reduced by 20%. At the same time, because the equipment can operate in the best state, the energy conversion efficiency has been improved, and the carbon emissions have been effectively controlled. These practical cases fully show that Siemens' AI technology can bring substantial benefits to enterprises in low-carbon transition.

The Future Prospect: Siemens Leads AI to Create a Greener Tomorrow

With the continuous development of AI technology and the increasingly urgent demand for low-carbon transition, Siemens will continue to increase investment in AI research and development, and promote the deep integration of AI and industrial scenes. In the future, Siemens will further optimize its AI solutions, make them more intelligent, efficient, and personalized, and provide better services for enterprises in various industries.

At the same time, Siemens will also strengthen cooperation with partners in various fields to jointly explore new models and new paths of AI in low-carbon transition. It will actively participate in the formulation of industry standards, promote the popularization and application of AI technology in the field of low-carbon, and contribute to the global realization of carbon neutrality goals.

In the critical period of global low-carbon transition, Siemens, with its decades of experience in AI technology accumulation and practical exploration, has become an important force to help industries break through the. Its rich AI technical reserve, professional team, and practical solutions have provided strong support for enterprises to achieve energy conservation, emission reduction, and efficiency improvement.

With the continuous advancement of technology, Siemens will continue to play the role of a pioneer and innovator in industrial AI, leading the integration of AI and low-carbon transition, and helping create a greener and more sustainable future for mankind. For enterprises that are struggling in the low-carbon transition, choosing Siemens' AI solutions may be the key to getting out of the dilemma and moving towards sustainable development.

Contact: Chloe

Email: plc@mvme.cn

WhatsApp：+86 18030170117

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Siemens: Accelerating AI Integration to Break Through Low-Carbon Transition Dilemmas