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Technical and business consulting field

Metal Data team mainly carries out technical consulting based on its past business experience, including more than 200 Smart Manufacturing projects completed in various countries around the world, more than 100 models of emerging industries and traditional industries, as well as dozens of various software systems. Related consulting also involves many business areas that often need technical consulting in the design industry.

1. Technical consulting based on existing project cases

More than 200 project cases have been introduced in the project cases section of this website. These large number of completed projects are distributed in various fields of engineering, such as new energy, new materials, high-end equipment, advanced manufacturing and other fields. Under the scenario of each project case, high-quality technical consulting can be conducted for customers.

2. Technical consulting based on the established model

The team has successfully developed more than 100 sets of engineering models for emerging industries and more than 100 sets of engineering models for traditional industries. The main advantage of the team is that it has always maintained the advantage of model accuracy in the competition with its European and American counterparts in the past few decades. The fields with the most model development are lithium battery manufacturing, steel materials and high-end materials manufacturing, electronic manufacturing, and so on. The types of models include empirical models based on the collected online and offline data, numerical models based on finite element method, finite difference method, etc., and digital models for data structure and database definition, etc. Many model development has involved the process, product, equipment and automation of any manufacturing link, which is quite representative. Technical development consulting can be carried out in all the above model fields, as well as technical consulting on the use of these models in software programming architecture.

3. Technical consulting based on our team's defect early warning system products

Before the production of a product is completed, we can predict whether the product will be defective in the future; If yes, the system will give an alarm now, prompting the operator to change the parameter combination or even replace the worn parts, making the product genuine. This is the defect early warning system.

Chinese product quality problems often occur, so technical consulting to optimize product quality is often needed. When problems are found, the developed and mature defect early warning system can be used for technical consulting to reduce defective products.

4. Technical consulting based on other software products of the team

Some of the software products involved by our team in the past are the optimization of existing large-scale software, such as a series of optimization projects that apply microstructure model, intelligent self access and high-end software engineering to industry Level 2s (the application of a new generation of Level 2s). The Level 2 is a typical intelligent system, which applies the Smart Manufacturing agent technology of engineering modeling, machine learning and intelligent system architecture development. The development of large-scale Level 2 may require a team of 20 people to write for 20 years! If the team rewrites based on the existing source program, it only takes 1 / 10 of the time. The optimization and upgrading of the application of Level 2 in iron and steel industry can be described as a case.

The other is based on software products that have been successfully developed or at least architected and developed in the main field.such as

(1)The deformation field at any time in the whole production process is calculated by finite difference method. Based on the products used by a large foreign company for many years, the software products have formed a high-quality software system by further model optimization with more than a dozen on-site data collected by it, a total of thousands of pages, and software programming optimization with the advantages of my computer. The software system has been verified by the processing process of South School South treatment, the water cooling process of warm materials, the empty man process with variable temperature field and so on. Almost all temperature field changes or temperature value changes can be consulted based on the calculation of this software.

(2)The demand of material processing deformation process, material deformation and mechanical properties formed based on microstructure model after deformation can be consulted by the calculation results of a series of dozens of related software. Examples of these software include: a design system based on a large number of deformation models, which is used for free design by design engineers, automatic design for engineering design by non design engineers, about five sets at the first level, and other designed software systems; Give the calculation of force and energy parameters into ten sets of software systems in different environments, and so on.

5. Technical consulting during the construction of intelligent production line

We found that a series of losses caused by misunderstanding in some industries are quite large. For example, when building an Smart Manufacturing production line, because it is not clear what Smart Manufacturing is, only the production lines of advanced mechanical equipment, basic automation control, MES and ERP will be built. It is mistakenly regarded as an Smart Manufacturing production line and lacks the main function of Smart Manufacturing core intelligent system. Therefore, although engineers can run such a production line because they have considerable intelligence in the production process, operators only see a large amount of data in the operation, which is difficult to become intelligence in the production process. Therefore, operators have considerable difficulties in facing the problems of the production line, I don't know how to turn a large amount of data on the data Kanban into measures that should be taken to solve the problem.Because this kind of intelligent production line can not produce benefits quickly, this kind of Smart Manufacturing production line usually has many problems, and even the dilemma of investment and slow death for investors. Often, the intelligent production line built by investing tens billions of raised USD can not form a return soon, so it will easily drag the whole factory to death; Without investment, with the disappearance of the demographic dividend, the rise in the price of products and raw materials and the continuous upgrading of product quality demand, enterprises will gradually die.

Therefore, our consulting should help enterprises avoid such problems and provide solutions, that is, how to provide or construct intelligent systems in time to avoid the above problems caused by the lack of intelligent systems.

6. Enterprise multi-level computer control / multi-level automation consulting

The enterprise system needs the integration of basic automation (primary system), intelligence (Level 2), MES / digitization (tertiary system) and resource management system (ERP, i.e. tertiary system).

The four major areas of business that must be completed to realize Smart Manufacturing are: first, ensure that mechanical equipment can realize automatic adjustment; Secondly, ensure the feasibility and accuracy of data acquisition; The third is to ensure that the intelligent system (Level 2) can handle the model, logic and various scenes well; Finally, the integration of intelligent system (Level 2) with basic automation (primary system), MES (tertiary system) and ERP is realized.

In the construction of intelligent production line, the intelligent system is usually ignored, and the system with only basic automation, MES and ERP is built. However, there is a lack of intelligent system (Level 2) between MES (tertiary system) and basic automation (primary system). Due to the lack of intelligent system, this kind of intelligent production line can only be operated by engineers, and the benefit is not good. Whether investors invest or not, there is a dilemma of pain points.

After selecting the hardware supplier, the enterprise building the intelligent production line should start the development of intelligent system (model and logic system, etc.); At present, many enterprises have built so-called intelligent factories that lack intelligent systems (models and logic), forming the isolation between MES and basic automation. This is one of the important consulting areas.

7. Enterprise common system consulting

(1)Management Consulting

Suggestions and standardization consulting are the main business points。

(2)Digital plant planning

Consulting on the top-level design of software architecture, such as the formation of data structure, class and database in software engineering. The consistency of data types can make the data more concise.

(3)Smart Manufacturing planning

See Maturity assessment and Smart Manufacturing planning Special discussion.

(4)Intelligent factory planning

Ensure that intelligent systems are not ignored due to lack of understanding of Smart Manufacturing. Only mechanization, automation and digitization are built, as discussed above.

(5)Digital twin

At the same time, it takes into account the coordination between the digital world described by the model and the real physical world. Based on the engineering modeling of engineering process, products, equipment and automation, as well as a large number of project experience in software fields such as model, software and machine learning, our team has always been in a leading position in the competition of European and American peers.

(6)Digital system

MES:The production process data structure designed based on the advantages of the engineering field and the defect early warning system based on the existing data of the enterprise are one of the advantages of the team.

QMS:Integrate the mature defect early warning system developed by our team into the enterprise's QMS (quality management system) to improve and optimize product quality and reduce defective products.

(7)IOT integration: network interconnection

The system based on the Internet of things is equivalent to the primary system (basic automation system) of the team. Adding models and logic systems (Level 2s) on this is one of the technical advantages of the team. Network security can also be understood as one of the functions of the Level 2.

(8)Advanced manufacturing: intelligent perception

Intelligent control and model LED intelligent perception are one of the technical advantages of our team.

(9)Ecological increment

One of the advantages of our team is to improve data value-added and improve the knowledge and algorithm base based on model and manufacturing logic; Improving the customized model in the industry platform is one of the main business areas of the team.

8. Other consulting areas

Intelligent system development in emerging industries - four business areas Emerging industry technology consulting
Echnical consulting in high-end material processing / forming and other fields

More detailed documents: 15 common technical consulting areas


Planning & Consulting

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