AI MES Mode
The AI revolution is transforming our lives, and the integration of AI in industrial equipment is also an inevitable trend.
In the foreseeable future, major controller manufacturers such as Fanuc, Siemens, and Mitsubishi are expected to introduce AI controllers, and machinery manufacturers will begin developing AI-powered machines.
However, as we know, machinery is a form of capital goods with a typical lifespan of 10 to 20 years. The challenge lies in enabling old equipment to join the AI era without incurring excessive capital expenditure. This challenge has become the core focus of our product development and research. To address it, our company has developed a series of AI interface products, providing the best option for retrofitting old equipment for AI integration.
Building Industrial AI Agent Models
For small and medium-sized enterprises (SMEs), AI models need not involve large-scale language models (LLMs) or LVMs with more than 6-30 tokens and parameters aimed at AGI development. Generic AI is often unsuitable for addressing the specific physical requirements of various industries. Industry-specific AI agent models are more suitable, leveraging edge computing to integrate old equipment with cameras, sensors, encoders, and other detection units.
By linking these units via MCU RF chips and using edge AI for deep learning computations, we can create optimal AI agent models. This approach significantly reduces costs, eliminates the need for large server setups and extensive parameter databases, and offers an ideal small-scale AI solution for traditional SMEs.
Features
Edge Computing with Deep Learning
Connect old equipment with cameras, sensors, and encoders using MCU RF chips, integrating all data for edge computing and deep learning to manage production processes.
Closed Network Management for Entire Plants
Edge computing eliminates the need to transmit data to the cloud, enhancing data security.
Reduced Hardware Requirements and Costs
Edge AI handles computations, negating the need for large servers and extensive parameter databases, thereby significantly reducing enterprise costs.
Suitable for SMEs in Traditional Industries
This model offers an economical and lightweight AI solution for SMEs, enabling old equipment to achieve intelligent upgrades with small-scale AI capabilities.
Innovation