Technical Training Question Set
To understand our business, please answer the following
questions; Or contact our team for answers.
1. What is the business of Metal Pass?
2. What is Metal Pass 's defect
early warning system?
3. Is there any other defect warning
system? （Limit value method and analysis method, etc）
4. Our main technical areas?
5. What are the objectives of
each stage of Smart Manufacturing?
6. What is a Level 2?
7. What is the new generation
of Level2 system?
8. What are the technical
advantages of defect early warning system?
9. What is multilevel computer
10. What are the main ideas for solving
quality problems or defective products at the production site? What
are the requirements?
11. What is a primary system? What
are the product examples?
12. What is a three-level
13. What is three-level
computer control at the workshop level?
14. What is device software? What
is the relationship between device software and intelligent
system? What are the advantages of device software
15. What are the problems in
the mixing process of battery electrode slurry? How to solve?
16. What are the problems in
the coating process of lithium battery electrode paste? How to
17. What are the problems in
the rolling process of lithium battery electrode after
coating? How to solve?
18. What are the problems in
the baking process of lithium battery slurry after cold
coating? How to solve?
19. What are the problems and
how to solve them in the process of lithium battery pole slice
20. How many pieces of lithium
battery are wound into miles? What are the problems and how to
21. What are the three main
stages of lithium battery production, chip production, cell
production and battery module production?
22. What is the role of lithium battery manufacturing
execution system data in diagnosing the performance of each
section, three sections and the whole lithium battery?
23. Please explain Metal Pass industry 4.0
brain business data modeling
24. Please explain the defect early
warning system of Metal Pass industry 4.0 brain and artificial
25. Please explain Metal Pass industry 4.0
brain - Basic Automation brain
26. Please explain Metal Pass industry 4.0
brain - intelligent supply chain brain
27. Please explain the multi-disciplinary
requirements and multi-disciplinary integration of Smart Manufacturing
28. Please explain the four business areas
that Smart Manufacturing must deal with
29. Please describe the main functions of
the manufacturing execution system in the manufacturing
30. Please explain the main functions of ERP system in manufacturing enterprises
31. Please explain some important problems
in intelligent system development
32. How to design the model of
intelligent system? How to design the scene use case of
33. How to integrate basic automation, MES
and ERP of multi-level computer system?
34. How to comprehensively
optimize the incoming products of process equipment in the
production process through the defect early warning system?
35. What are the common problems in field
data collection at present? How to optimize?
36. Introduction to the method of machine
learning based on online data, which can be solved by
model-based self-study in the production process
37. Pre calculation of machine
self-study during production, calculation of closed-loop
control after re calculation, long-term self-study, etc
38. Please explain the offline model,
online model and software library of Metal Pass on the software
technology development platform of Smart Manufacturing
39. Please explain the common problems
caused by the lack of intelligent system in the construction
of domestic intelligent production line, and explain the
40. Please explain the possible
development stages and main functions of intelligent systems
in high-end material manufacturing
41. Use the project cases of Metal Pass team to illustrate the
development process of offline model, online model and online
system in the past 30 years
42. Explain the problems and application
requirements of the finite element artificial intelligence
model of the German DFG project of our team
43. Explain the three groups of models and
relevant data sources established by our team for Morgan
44. Explain the three sets of Level2
systems and main features developed by our team in the project
of kescat company in the United States
45. Explain the problems and solutions of
the team to solve the project of Oregon company in the United
46. Explain the problems and solutions of
the team to solve the POSCO project in Korea
47. Explain the on-site problems,
solutions and actual effects of the team in the project of Nangang
48. Explain the soft sensing technology in BYD lithium battery pole slice cutting project
49. Explain the defect early warning
system technology based on artificial intelligence in BYD
lithium battery pole slice cutting project
50. Clarify the high accuracy of the model
in BYD project
51. y comparing the accuracy of the models of Oregon company
and China Nangang company before and after improvement, this
paper expounds the high accuracy of Metal Pass model
52. Briefly describe the business areas,
customer needs and solutions, for the major projects of the
53. Briefly explain the methodology of
learning in the lecture (direction, interest, method)
54. This paper briefly explains the basic
methods of foreign language, self-study computer and
optimizing scientific research in middle school
55. Explain the industry recognition of the team's technology
(China selection, German scholarship, American certification,
China hundred talents program, other talent programs, Shenzhen
quality month promotion project, etc.)
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