Общая лекция DRYINF

Сентябрь 3, 2022

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Общая лекция DRYINF

Содержание

2. Aims... Summarize and accumulate human experience Intelligent aid while design Knowledge and experience sharing
3. “DryInf“ benefits... Table of estimations 5 scale type of grades making transfer of knowledge from human
4. Information world-wide DryInf uses client-server technology to communicate with DryInf databanks word-wide.
5. “DryInf” benefits... Modular technology All functions of this system are “plug-in’s”, all of them user can
6. “DryInf” structure DryInf works with databases. They could be local or remote. Each database includes one
7. “DryInf” structure There questions are in “questionnaire” table of databank, answers are in “sets of possible
8. “DryInf” structure Selection of estimations for each device as follows (rules): For Device1: If for Question1
9. Example of databank structure
10. About “32 dryers” databank This databank is shipped with DryInf as local database. It was developed
11. Types of dryers used in databank “32 dryers”
12. DIDE DIDE is DryInf data editor. DIDE allows user to change data in databank or create
13. Have a look on this system... DryInf
14. Main window By using main menu or toolbuttons user can start new project or open existent
15. Class and name In this first wizard window user have to select a class of substance
16. Specify properties of substance At this window all substance properties must be specified.
17. See the result Here the list of all selected apparatuses will be displayed. Apparatuses sorted in
18. Full-sized dryer image By pressing “Show selected“ button user will see selected apparatus image detailed.
19. “Back step“ mode In this window user can see property tree for each selected earlier device.
20. Add new dryers or properties DryInf allows user to act as expert. User can add new
21. Further developments… Material properties Report
22. Modeling language
23. Conceptual system structure
24. Energy consumption calculation
25. Modeling scheme
26. Visual block modeling
29. Parametrical drawings module
30. Optimization Benefit = Return - Cost
32. Скачать презентацию

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Aims...
Summarize and accumulate human experience
Intelligent aid while design
Knowledge

and experience sharing

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“DryInf“ benefits...
Table of estimations
5 scale type of grades making transfer

of knowledge from human to machine easy.
Upgrading databases allows knowledge to be accumulated and shared.
Information word-wide
No more problem to download or upgrade database.
Get connected to one or more databases at one session!
Internet, local network or hard drive these all available.

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Information world-wide
DryInf uses client-server technology to communicate with DryInf databanks word-wide.

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“DryInf” benefits...
Modular technology
All functions of this system are “plug-in’s”, all

of them user can enable or disable.
Application Program Interface (DryInf API) provides simple and fast mechanism to integrate other applications into DryInf.
“Wizard“ style of user interface
User should not think likely “How to work with it?”, he just start to work immediately.
Highly understandable interface is very comfortable for beginners.

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“DryInf” structure
DryInf works with databases. They could be local or remote.

Each database includes one or more databank
Each databank consist of:
Apparatuses table
Questionnaire table
Sets of possible answers table
Estimations table

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“DryInf” structure
There questions are in “questionnaire” table of databank, answers are

in “sets of possible answers” table, devices are in apparatuses table and, finally, numbers are an expert estimations for each apparatus and stored in “estimations” table.

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“DryInf” structure
Selection of estimations for each device as follows (rules):
For Device1:
If

for Question1 answer Answer1 then
estimation = previous estimation + new estimation
If for Question2 answer Answer2 then
estimation = 0 and exit for Device1.
{Comments: if system get zero as new estimation it results to all previous estimation sum zeroed and device become marked “NOT USED”. If not, get continue to the end of questionnaire and get final sum as result of calculation}

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Example of databank structure

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About “32 dryers” databank
This databank is shipped with DryInf as

local database.
It was developed with the aim to facilitate selection of the most appropriate dryer for a given material

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Types of dryers used in databank “32 dryers”

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DIDE
DIDE is DryInf data editor.
DIDE allows user to change data

in databank or create another. To work with DIDE user have to be an expert and have permission to write in databank.

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Have a look on this system...
DryInf

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Main window
By using main menu or toolbuttons user can start new

project or open existent

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Class and name
In this first wizard window user have to select

a class of substance being processed and enter name or id of this one.
At the right side of window all entered properties will be dynamically updated.

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