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PPT Description on Field Projects
Main Technology of
Projects
The intelligent manufacturing at the industrial 4.0 level in
various industry fields shown in this series mainly includes
three groups of technologies: engineering modeling, machine
learning and intelligent system architecture development of
manufacturing industry.
Each project listed in the following table starts with
engineering modeling and solves engineering problems through
intelligent systems. For example, the defect early warning
system first models the influencing factors of defects, and
can predict whether the product will be genuine or defective
in the future before the production is completed; If it is a
defective product, it will give an alarm in varying degrees to
prompt the on-site personnel to change the parameter
combination or even change the worn parts, so as to turn the
production parts that would otherwise be defective products
into genuine products! In this process, the defect early
warning system provides the recommended value of the best
parameters. Since there are few cases of production process
optimization in China, many of the cases used in this batch
are those of our team in Germany, the United States and South
Korea. Of course, our team has also done a certain number of
intelligent manufacturing projects in China (including
engineering modeling, machine learning and intelligent system
architecture development), which are also included in the
project cases.
A basic rule, do not assume that the operator is an
intelligent manufacturing expert! When operators face data
board (typical industrial 3.0 data system rather than
intelligent system), they may not be able to see the problem,
and it is more difficult to find a solution! It is hoped MES and
ERP can be integrated with intelligent systems to solve this
problem!
This batch of PPTs can not only let enterprise engineers
understand relevant projects, but also let the trainees learn
about intelligent manufacturing. It is impossible for students
to learn intelligent manufacturing without cases. This batch
of case-based intelligent manufacturing solutions is very
valuable! If a school wants to set up an intelligent
manufacturing major, it is not enough to download some
articles from Baidu that show the importance of intelligent
manufacturing; There are no cases, and even the lecturers
themselves do not know how to engage in Intelligent
Manufacturing (how to establish engineering models, how to
carry out machine learning, how to collect complete scene use
cases to build intelligent systems, etc.), they can not teach
students / students to engage in intelligent manufacturing! Or
it is not enough to just tell the students what to do but not
how to do it (as is the case in most intelligent manufacturing
articles in China)!
PPT Description on Field Projects
|
Num. |
PPT
Name |
|
12 |
Installation of Metal Pass Defect Warning System On
Manufacturing Execution System MES |
|
14 |
Metal Pass Level 2 System Model and Software |
|
15 |
Computer Model and Software Development in Metallurgical
Industry |
|
16 |
Engineering Modeling in Level 2 System - Rolling Process |
|
17 |
Function Development of Level2 & Level3 Systems |
|
18 |
Smart System Architecture -
AGC and Plate Thickness
Control |
|
19 |
Power Demand Models in Lithium Battery Electrode
Manufacturing |
|
20 |
Rolling Models in Lithium Battery Electrode
Manufacturing |
|
21 |
Defect Models in Lithium Battery Electrode Manufacturing
|
|
22 |
Metallography on Deformation Range and Product Shape in
Material Processing |
|
23 |
Modeling of Field Problems |
|
24 |
Status,
Application, Function and Cases in Machine Learning |
|
40 |
Prinmary Data Lists Required for Level 1, Level 2, Level
3 and Level 4 Systems |
|
45 |
German DFG（Deutsche Forschungsgemeidshaft） AI Simulation
Technology |
|
46 |
Development and Application of Deformation, Force &
Power, and Microstructure Models |
|
47 |
Development of Three Sets of Level 2 Smart Systems in
Cascase Steel |
|
48 |
Online Resources and Web-Based Apps in Metal Pass
Network (1) |
|
49 |
Online Resources and Web-Based Apps in Metal Pass
Network (2) |
|
50 |
Oregon Steel: Main Technical Points of The Project and
The New-Generation Level2 System |
|
51 |
Oregon Steel: Development and Application of
New-Generation Level2 System |
|
52 |
Engineering Modeling Examples in Level 2 System
|
|
53 |
Architecture Development Examples in Level 2 System |
|
54 |
Model Design in Level 2 System |
|
55 |
Level 2 System Architecture - Machine Learning and
Maintenance Documents |
|
56 |
Development and Application of New Generation Level 2
System |
|
57 |
Guided Two-Parameter Learning |
|
58 |
NISCO: Automatic Design of Model Coefficients Based On
Guided Two-Parameter Learning |
|
59 |
POSCO: Hard-Designed Equipment and Process |
|
60 |
Tiannuo: Smart Manufacturing of Optical Thin Films
|
|
61 |
Development of Over 100 Production Process Models For
Lithium Battery Cell Materials |
|
62 |
BYD Project Phase I – Development of Cell Quality Models
and Model Validation With Onsite Data Collection |
|
63 |
Development of BYD Online Models and Soft Censoring
Technology |
|
64 |
BYD Model Software Development Including Burr Length and
Knife Notch Prediction Models for Defect Warning |
|
65 |
BYD Model Software Project Development Stages Tracking |
|
66 |
Interface Design of Electrode Slice Cutting Software for
BYD Lithium Battery Manufacturing |
|
67 |
Software Interface of BYD Project Phase II |
|
68 |
Analysis of The Geometric Shapes of The Knife Notches
and The Basis of Soft Sensing |
|
69 |
BYD Knife Notch Detection/Measuring System (Hardware+
Software) |
|
70 |
Knife Tool Management System Architecture |
|
71 |
Development & Optimization of Geesun Lithium Battery
Lamination System and Winding Equipment |
|
72 |
Skyworth's Smart Manufacturing and Tcl's Smt Project |
|
73 |
Smart Manufacturing in Clothes Industry |
|
74 |
Development of Intelligent Retail Decision Optimization
System |
|
75 |
Project Development of Electronic Manufacturing Industry |
|
76 |
Development of A Smart Manufacturing System for
5G/Advanced Materials |
|
77 |
Smart Manufacturing of 5G New Material & Meta-Materials |
|
80 |
Bougward: Electric Vehicle Production Guidance and
Appraisal |
|
81 |
Business Data Modeling / Intelligent Modeling Platform |
|
82 |
Diagnosis Optimization of Lithium Battery Production
Based On MES Data |
|
83 |
Online Inspection System of Defective Products Based On
Machine Vision |
|
84 |
Application Fields and Prospects of Smart Manufacturing
Main Technology |
|
85 |
Technology Introduction of Smart Manufacturing Practical
Training |
|
86 |
Production Technology and Resources for
AMER 5G Materials |
|
95 |
Class Series:
Multi-Specialties Requirements + Business Fields in
Smart Manufacturing |
|
97 |
Class Series: Application of
Artificial Intelligence in Smart Manufacturing |
|
98 |
Class Series: Machine
Learning + Smart Manufacturing Case |
|
99 |
Class Series: Smart
Manufacturing Cases + Practical Training |
Some documents biased towards
process / equipment / materials are omitted from the above
table. These seemingly engineering documents are very valuable
for engineering modeling, but they are not included in this
article in order to focus on intelligent manufacturing.
Technical documents for in-depth study (word version)
There are some more in-depth
materials that can go through the previous intelligent
manufacturing projects with students / students, so that
students / students can have a deeper understanding of
intelligent manufacturing. The information listed in the table
below can achieve this goal.
In recent years, as long as there is a well-organized PPT
series
(rather than only a part), the corresponding professional
documents are not displayed. For example, the lithium battery
project has specially arranged solutions related to the
tracking records of employees with master's degrees, resulting
in two books with more than 200 pages each; However, since
there are about 16 sets of intelligent manufacturing related
to lithium batteries (about 50 PPT page per set), the corresponding
in-depth technical documents are not shown here.
|
Num. |
Project report (Book) name |
|
101 |
German DFG Model Project -
Engineering Modeling |
|
102 |
German DFG Model Project -
Results and Validation |
|
103 |
Over 100 Engineering Models
Developed in Morgan/Siemens (1) - Basis and Deformation |
|
104 |
Over 100 Engineering Models
Developed in Morgan/Siemens (2) - Force & Power,
Microstructure & Properties |
|
105 |
Morgan/Siemens Rolling
Process Model Development (Book) |
|
106 |
Cascade Steel Smart System
Project (1) - Function Design |
|
107 |
Cascade Steel Smart System
Project (2) - Software Development |
|
108 |
Cascade Steel Smart System
Project (3) - Model and Calculation |
|
109 |
Cascade Steel Smart System
Project (4) - Interface, Database, Etc. |
|
110 |
Engineering Modeling and
Machine Learning of Level 2 System |
|
111 |
Development of Use Cases &
User Scenarios in Software Architecture of Level 2
System |
|
112 |
The Microstructure Model,
Intelligent Learning and Uninterrupted Upgrading of
New-Generation Level 2 System |
|
113 |
Application of
New-Generation Level 2 System - Guided Two-Parameter
Learning |
|
114 |
Architecture & Development
of Over 100 Apps in Metal Pass (1) |
|
115 |
Architecture & Development
of Over 100 Apps in Metal Pass (1) |
PPT related costs
If there are more than 100000
slides, it usually takes more than 400000 minutes for each set
of slides to be produced, and it takes more than 400000
minutes for each other set of slides! It's just the cost of
time. The technology based on this batch of slides comes from
more than 200 intelligent manufacturing projects completed and
guided by our team in the past 30 years! In addition, when our
team visited Europe as a consultant of Zhengwei international
in 2019, we downloaded more than 200 intelligent manufacturing
books from the University of Aachen, Germany! The data
collected by our team from libraries around the world in the
past few years should be 10 or 20 times that of these 200
books (more than one million pages, see relevant articles)!
Project Cases
Summary,
Key Projs,
Model Projs,
Rolling Mills
Model
System,
Intelli Equip.,
New Level 2,
Li-Batt
=========
Contact us: Please scan the figure below to add
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