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Primary
Business Areas
Primary work area is the Defect Early Warning
System. Several related areas can be taken as the customized
areas of the Defect Early Warning Systems, such as the
New-Generation Level 2 system, three Level 2 system for EAF,
LMF and Caster, and the Equipment Software. The Breast Cancer
Screening Equipment for Women can also be considered as a
customized Defect Early Warning System. The purposes of all
those systems are to increase product quality and to reduce
defects. In the following would several primarily system
introduced.
I. Defect Early Warning System
Based on the lithium battery pole slice slitting burr control
system carried out by a large company, it is improved as a
defect early warning system. The previous system is used to
control six production lines. After improvement, each set
controls one production line to increase the flexibility of
application.
Based on the collection of a series of factors affecting
defects in the production line, establish the model affecting
defects, predict the future in the way of history, and fully
bind the model with the corresponding production line through
machine learning, that is, on this production line, the model
accuracy is very high! When the model predicts that the
products currently in production and not yet completed will be
defective after production, the system will give an alarm at
this moment. After the on-site operator verifies that the
warning is true, the parameter combination will be optimized
first. If the defective products are still difficult to
eliminate, the worn parts, such as cutting tools and molds,
will be replaced in advance, so that the products will become
genuine after production.
According to our investigation, the market of this product is
large enough, and Chinese governments at all levels have
subsidies for Smart Manufacturing. As an Smart Manufacturing project, our team also has special personnel to
declare Smart Manufacturing subsidies for customers.
Because there are a large number of customized models in
Smart Manufacturing, the development cost of each set is
large; Here is rewritten using the existing source program,
and the sales price is only equivalent to 1 / 10 of the normal
system development price!
For the technical details of this project, please refer to the
following series of articles; If necessary, please contact our
team to provide financing documents. A lot of information has
been written in [patent
file].
Defect Warning System Series
Development case of lithium
battery defect early warning system
Function and application of defect early warning system
products
Customer requirements of defect early warning system
Technical consultation of defect data based on Prediction
Production process optimization based on defect early warning
Introduction to defect early
warning system technology
II.
New
Generation Level 2
The Level 2 is widely used in the processing and
production of various materials, such as the rolling of many
plates. If there is no normal Level 2, the equipment
will automatically stop running! However, corresponding to
high-end materials, the accuracy of the model is very high,
and the allowable variation range of each variable is very
small. Therefore, it is necessary to add, such as
microstructure model, intelligent self-study and a series of
high-end software engineering technologies. The more expensive
the raw materials are, the more the Level 2 is
needed, because based on the online simulation function of the
Level 2, everything is like normal production, but
the equipment does not move, which can greatly reduce the
defective products produced in the early stage!
The early model of this project has been developed by the
inventor combined with a large amount of data from Germany and
the United States, and has been verified on site. This project
has been developed in Oregon company for more than two years,
so that such defective products of the company have changed
from every day to none during the return visit in half a year!
The project has been developed in China's Nangang for more
than two years. During this period, a grouping method based on
the chemical composition of steel grades rather than purpose
is designed. There are a total of more than ten groups of 150
steel grades, and each steel grade corresponds to 180 sets of
specific model coefficient documents. Each model coefficient
file originally has more than 100 data, which have been
reviewed, and the bivariate self-study under the guidance has
been successfully applied, so that the model can achieve high
precision and realize the high quality of hard and thin
products. This set of models is very valuable for high-end
materials and their applications!
Now, the customers of many enterprises in the United States
and Canada have requested to develop this set of model
software as soon as possible, and the soft elbow in the
production of hard and thin products in China has been made up
for!
The Level 2 is an Smart Manufacturing system
for material processing and an equipment intelligent system
(i.e. equipment software) for high-end equipment. With the
addition of microstructure model, intelligent self-study and a
series of high-end software engineering technologies, the
technical level of these businesses has been greatly improved.
The market of the new generation Level 2 is huge. For
example, only from the perspective of high-end equipment, it
can increase the export price of China's electromechanical
equipment by 2-10 times (the case of 5g material production
equipment of a world top 500 company: 6 times)!
There are many relevant technical documents,
such as:
III.
Breast
Cancer Screening Equipment for Women
Although China accounts for 1/4 of the world's population,
breast cancer accounts for half of the world's population. The
proportion of breast cancer in China has increased by two
times the world average. And in early detection of breast
cancer, patients can basically be cured! Therefore, a more
accurate breast cancer screening device can detect early
breast cancer is very important.
This is Dr. Bakhta's project to sprint for the Nobel Prize. He
previously developed a large number of intelligent detection
technologies for the U.S. military; In order to enable these
technologies to apply for the Nobel prize, he chose to apply
this technology to detect breast cancer in women. At present,
the prototype has been produced, the development of hardware
has been basically completed, and there are a large number of
software source programs. In order to meet the requirements of
the Nobel Prize, the inventor hopes that the head of the team
will increase its intelligence and provide a certain amount of
verification during on-site physical examination. In the
United States, due to the personal privacy of medical
treatment, user authentication of this device costs a lot; But
in China, the cost of verification is relatively low.
When producing this equipment in China, the product cost can
be reduced to at least 1 / 10 of the existing samples!
Previously, in American laboratories, the prototype installed
by high-end R & D personnel has high labor cost, and the
prices of R & D parts and mass-produced parts are also very
different! Therefore, this project has excellent investment
value. After the completion of the project, a large number of
equipment for breast cancer physical examination can be
produced.
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