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Domain Specific Custom Model Development

Overall Demand

  • Cost reduction and efficiency increase: through digital twinning and meta universe, realize the modeling of digital world to fully describe the real physical world, and optimize production with the help of software tools
  • Digital management: realize the digitization of mechanization and automation, easy to find optimization points and optimize management
  • Intellectualization of the whole process of the enterprise: it can be realized through the digitization and further intellectualization of the enterprise
  • Platform design: easy to operate and optimize
  • Intelligent production: from engineering modeling, machine learning (improving model accuracy) and intelligent system architecture development (sort out various scenarios and use cases as fully as possible and implement optimized solutions)
  • Networked collaboration: the best collaboration of all sections and factories
  • Digital management: optimize management through real-time data and implement excellent management concept
  • Service extension: expanding services (the real intention of Germany to promote industry 4.0)

Custom Development

Firstly, engineering modeling involves many engineering fields such as process, product, equipment and automation, which is difficult; The established model should be fully bound with the production line for machine learning; At the same time, in terms of the architecture and development of intelligent system, collect all kinds of scenario use cases as far as possible and provide optimization schemes. Therefore, we should not only have deep engineering skills, but also have sufficient computer skills. In particular, the third point mentioned above involves large-scale software. It is really difficult for people who understand engineering to deal with such a large-scale software system; For software architecture and developers, each line of source program has engineering logic. In addition to having normal software system architecture and development, they should also fully collect and develop all on-site scenario use cases. If there are 100 engineers on the production site, the work done by these 100 people should be sorted out, written into the software system and called the model to solve it. Therefore, the corresponding model should be developed in advance. Moreover, different manufacturing processes have different customization model mechanisms.

The development of customized models is therefore very difficult. Although there are some enterprises developing common platforms, it involves individual applications in different production lines and industries. Therefore, these enterprises developing common mechanisms do not involve this field. Even in Europe and America, there are no strong competitors, because many enterprises are still in the stage of large-scale replication and sales, and do not pay attention to small, refined and flexible businesses. Large manufacturing enterprises, such as Siemens and GE, still focus on developing common platforms that can be sold in large quantities. For personalized applications, they are not their advantages in terms of cost or technology!

Custom Development Field: Practical project experience in dozens of fields

Although our team has a development platform, due to the large proportion of customized models, the developed systems are mainly customized systems. The team has completed more than 200 Smart Manufacturing projects in many fields. The fields involved in the project experience include:

  • Dozens of sections of lithium battery manufacturing, including slurry mixing, slurry drawing, baking, rolling, slitting, winding and volume division, have completed several contracts and nearly 20 sets of schemes, etc

  • A large number of projects in the iron and steel industry involve technology, materials, equipment, automation, models, data mining, large-scale software development and so on

  • For high-end materials, a new generation of Level 2 has been designed and developed, specifically for expensive incoming materials and complex and strict manufacturing processes

  • The design and development of high-end equipment is based on the simplification of existing technology to reduce the development cost, especially in several large high-tech companies or the world's top 500 companies, such as 5g material equipment system

  • Electronic manufacturing, several large international color TV companies, involving optimized manufacturing, guidance of intelligent system development team, SMT production line, etc

  • Garment manufacturing involves a series of businesses of five or six garment manufacturing enterprises

  • Well known enterprises in the field of biomedicine

  • Machine vision and automatic detection, a series of project technologies, such as eight Learning optimization, etc

  • Defect early warning in various fields of manufacturing industry, etc

  • Auto parts manufacturing

  • Environmental protection projects in multiple industries

  • Etc

Customized Model Development of each section: Lithium battery example

In the manufacturing process of lithium battery, there are dozens of manufacturing sections in the production of lithium battery itself. In the process of lithium battery production, a variety of intelligent systems are needed, such as slurry preparation Level 2, tablet pressing (rolling) Level 2, slurry drawing (coating) Level 2, winding Level 2 and volume distribution Level 2 system, etc. Each area requires a lot of custom development.

In each stage of lithium battery production, customized models for different manufacturers can be developed according to the on-site needs, and according to the different data of each production line. Examples are as follows

More than 100 sets of lithium battery defect models have been completed

  • Slurry: "Spinning", Dead center, Stirring crank, Particle size uniformity, Influence of various factors
  • Coating: Vertical stripe, Speed effect, Viscoelasticity effect, Coater vibration, Drying curve
  • Rolling: Microporous framework, Density / Flatness, Springback, Asymmetry between front and back, Roll preheating
  • Baking: Temperature distribution, Best combination, Energy consumption, Temperature distribution and quality, Temperature curve
  • Slitting: Control model, Burr control, Tension, Knife wear, Speed matching, Pinch roll speed regulation

Model development based on field data

As long as there is sufficient data, Process models with sufficient quality can be established! Smart Manufacturing can be carried out according to the data! For the data collected by existing factories, customized model development can be carried out. Theoretically, even if there are two identical production lines in the same factory, the models produced are not necessarily identical! See the document for detailed discussion.

Planning & Consulting

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