ET Industrial Brain

Empowering smart manufacturing with data and machine intelligence

We Can Solve Your Critical Industrial Manufacturing Problems

Smart Supply Chains

The solution minimizes inventory and increases efficiency by providing precise sale forecasts, inventory optimization analysis, smart order allocation to a suitable vehicle, and prevention of invalid orders.

Smart R&D

Using AI algorithms and big data analysis of data produced throughout the research and development, design, production, and aftersales cycle, this solution provides full-value-chain product prediction services and optimization strategies.

Smart Production

Relying on digital description of the manufacturing process, this solution uses AI algorithms to study how changes to different parameters affect device statuses and the overall production process. Taking into consideration real-time data and the dynamic adjustment of on-site conditions, it can realize intelligent device health management, real-time processing parameter recommendations, production scheduling, and other functions and serve as a powerful tool to advance production site management and lean production.

Smart Marketing

This solution offers a combination of intelligent marketing products capable of playing both offense and defense. To be specific, the brand guard function provides real-time intelligent brand image recognition making sure your brand is safeguarded from copyright infringement. The customer insights capabilities allows for multi-layer analysis for industry insights and customer discovery.

Breakdown the Barriers to Data Collection

From new energy, to chemical engineering, and heavy industry,
ET Brain is driving value for manufacturers

GCL Power

Increased cell wafer yield by 1%

Chokepoints:

GCL experienced an increase in the ratio of defective solar cell silicon wafers. The difficulties of locating the root cause led to a decrease in productivity and an increase in production costs.

Solution:

Alibaba Cloud's ET Industrial brain comprehensively monitored real-time parameter trends during the production process and established a health index model for core components. After identifying critical factors, it made parameter recommendations and ultimately improved the product yield.

Value:

By recommending optimal parameter settings for the solar cell silicon wafer production process, ET Industrial Brain increased the non-defective wafer yield by 1%. This represents massive cost savings for the company.

Zhongce Rubber

Improved rubber processing compliance rate by 5%

Chokepoints

During the rubber mixing process (the core stage of rubber production), raw materials and production environment have a huge impact on Zongce Rubber's's energy consumption and defective rate. This leads to dramatic fluctuations in overall productivity and difficulty in controlling production costs.

Solution:

Alibaba Cloud's ET Industrial Brain was applied to the rubber production process and constructed training data from real-time parameter data generated at the mixing process. A decision tree model was established to recommend optimal processing parameters, which delivered both reduced energy consumption and increased yield.

Value:

By recommending optimal parameters, this solution optimized the mixing process, including reducing the Mooney viscosity (a vital rubber mixing parameter), shortening of mixing duration, and lowering the mixing temperature. This significantly reduced energy consumption and increased the compliance rate by 5%.

DuanAn Wind

Reduced wind farm O&M costs by 30%

Chokepoints:

For traditional wind turbines, it is very difficult to predict malfunctions, and repairs are normally done only when something breaks down, by which point significant disruptions have already occurred. The subsequent repairs are often complicated, drawn-out, and expensive.

Solution:

ET Industrial Brain employed sensors to monitor the entire turbine in real-time. Then, it performed real-time analysis on a massive database of similar wind turbine conditions to construct a turbine operating temperature model. This curve model was used to predict abnormal operating conditions in advance and warn operators accordingly.

Value:

Potential wind turbine faults can be detected in advance, which turns major repairs into minor maintenance, significantly lowers repair costs, reduces maintenance time and ensures continuous power generation.

Trina Solar

Raised the ratio of grade-A products by 7%

Chokepoints:

Cell wafer production involves extensive procedures and extremely complicated techniques. Moreover, it is very difficult to continue using traditional analysis methods to achieve breakthroughs in product quality.

Solution:

By organizing and connecting data from the entire cell wafer production process, ET Industrial Brain identified the key procedures and critical factors that affect wafer quality. Relying on smart algorithms, it provided optimization recommendations for core parameters and made constant adjustments during production line comparison tests. This effectively increased the ratio of grade-A wafers.

Value:

By optimizing key stages in Trina Solar's production process, this solution helped to increase the ratio of grade-A products by 7%, helping Trina further solidify its leading position in the industry.

Build and Launch Your Own Industrial Brain in One Month

The specific deployment time will depend on your actual business scenario

Rapidly integrate industrial data

Construct industrial data warehouses

Configure intelligent applications

Create a global command module

The DNA Behind ET Industrial Brain