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| 型號： | TSPUNO |
| 英文描述： | TREND SERVER PROG. SINGLE |
| 中文描述： | 趨勢服務(wù)器PROG。單 |
| 文件頁數(shù)： | 92/104頁 |
| 文件大?。?/td> | 3878K |
| 代理商： | TSPUNO |
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84
43-TV-25-11 GLO Issue 11 03/02 UK
Example 2.) Cold Storage Temperature Measurement
A recorder was required to help track random and rapid temperature changes
within the cold storage rooms. Conventional sample recording had shown that tem-
perature variations were present, but was not of high enough resolution to pin point
the cause.
Again as in example 1), the measured inputs would show long periods of stable
constant readings, interspersed with small sharp increases in temperature. In order
to track the cause of these variations, it was necessary to maximise the time resolu-
tion of the data. This application was ideally suited to the Fuzzy Logging data storage
technique, as the periods of inactivity would result in compression rates of over 50
times.
Example 3.) Logged Data Example
The diagram below is a sample of actual logged data in both the Fuzzy Logging
method (top) and Sample Logging method (bottom), derived from the same analogue
input.
It provides an excellent illustration of how less data points can be used to con-
struct an identical trace.
NB.
This data extract was taken from a 56 hour temperature run, which resulted
in approximately 1 Mbyte of sample data, and approximately 40 Kbyte of Fuzzy
Logged data.
A compression ratio of 25 times!
Anything else it can do
Yes!
Fuzzy Logging can be used as a
‘One Hit’
recording button.
In applications where the measured process is new or the ideal scan rate is
unknown Fuzzy Logging is ideal, as it adapts the log rate to the input signal, and can
therefore find the optimum logging rate for you.
Fuzzy Logged
Sample
Diagram 2.
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