group

Main contents of the course

I

Overview and requirements of Smart Manufacturing

In addition to the following specialized fields, basic technologies in Smart Manufacturing include multi-level computer control, basic automation, MES, ERP, learning methods, etc

II

Engineering modeling of Smart Manufacturing (production process optimization)

Engineering problems include the coordination between various process parameters, the calculation of main key parameters, the influence of incoming material parameters and various engineering parameters on product quality, and so on. The lecture is based on the actual cases of more than 100 sets of models in the same industry and emerging industries, as well as the three-day modeling lecture conducted by the main trainer for a university and a company.

III

Machine learning based on model and field data, data acquisition, digital manufacturing, etc

Firstly, collect the dynamic data of the site based on digital manufacturing, then machine learn the established engineering model, and use a large amount of online data to inverse calibrate the model coefficients in the engineering model, so as to fully bind them with the process, products and equipment on site; With the change of equipment and production conditions, the model coefficient changes, so the model is fully bound with the production line. The lecture is based on the actual cases on site and the solutions of self-study logic problems.

IV

Intelligent system architecture and development, and factory software engineering

Based on the formed model (about 1 / 3) and various scenario use cases of the production line (about 2 / 3). Scenario use cases are mainly the sum of all solutions to the problems solved by each engineer. Scenario use cases also include some unique problem solutions of products. For example, when thick materials are processed into thin materials, due to the low temperature at both ends of the material, the head and tail are thicker than the middle part due to the rapid temperature drop during the same reduction, so the solution of scenario use cases is required. Usually, the corresponding software should be constructed first, and then programmed by the programming team.

V

Field case analysis of Smart Manufacturing

In addition to the above technical points that call on the field case analysis, the case analysis here summarizes the completed field projects; In addition, the team is studying the content sharing of various intelligent systems.

ID

On site case lecture

describe

1

Cascat intelligent system project, Lecture 4
Architecture and development of three Level 2s of electric furnace, refining furnace and continuous casting
-Functional design
-Software development
-Model and calculation
-Interface, database and others

Based on a 300 page book written by the main trainer but not yet published, focusing on the first-hand information of the on-site project

2

Morgan / Siemens project, 4 lectures
More than 100 sets of engineering model development experience, based on Morgan's more than 100 years of research and development and customer data around the world, including 5 years of experimental rolling
-Deformation calculation
-Force energy calculation
-Microstructure and properties
-Others

The courseware is drawn from a 5-day model training courseware (20 courseware + 20 exercises) and a 3-day model training courseware for Taiyuan University of science and technology and TISCO

3

Oregon company and subsequent development, 4 lectures
-Engineering modeling and machine learning of secondary system
-Scenario and software architecture development of Level 2
-Microstructure model, intelligent self-study and continuous upgrading of the new generation of secondary system
-Application of a new generation of Level 2 - Bivariate self-study under the guidance

The essence of several on-site two level system projects, including the essence of dozens of related international papers.

4

German Research Association project, 2 lectures
-Engineering modeling
-Results and verification

Including scientific research reports, master's theses and theses from well-known German magazines, etc

5

BYD project, 4 lectures
Development of lithium battery Smart Manufacturing system and soft measurement, etc
-Engineering model development and machine learning
-Software function and architecture development
-Defect early warning system and its application
-Soft sensing technology and field development

It also discusses the problems and opportunities of Smart Manufacturing

6

Metal Pass platform development, lecture 2
More than 100 app architecture development

50000 pages of app development on Metal Pass online, including 4 relevant international papers

7

South Korea POSCO project, Lecture 1
Flexible design of enterprise field project based on online app

Highly difficult design with nine mutual constraints, based on online app

8

Other projects, 4 lectures
Tesla, Zhengwei, Skyworth, TCL, Guangye, Tiannuo, etc

Focus on problem solving and current situation discussion