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| Place of Origin: | America |
| Brand Name: | TYCO |
| Certification: | CE |
| Model Number: | V23401-T2010-B214 |
| Minimum Order Quantity: | 1pcs |
|---|---|
| Packaging Details: | carton |
| Delivery Time: | in stock |
| Payment Terms: | T/T, Western Union, MoneyGram |
| Supply Ability: | 10000pcs/week |
| TYCO: | TYCO | COLOR: | BLACK |
|---|---|---|---|
| Material: | Iron | Temperature: | 50-120 |
| Wire: | Wire | V23401-T2010-B214: | V23401-T2010-B214 |
Guang Zhou Lai Jie Electric Co.,LTD
Please contact with “Tommy” for the price
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When compression is activated, the standard parameters for the archiving are deactivated. Process values are compressed with the "Swinging Door Algorithm". With optimum parameter assignment, process values are saved more effectively with the Swinging Door algorithm than with cyclic acquisition. The compression is achieved by not saving all the values. The compression therefore involves some degree of data loss. The values that are actually saved are those that are regarded as relevant based on the parameter assignment of the algorithm. The values that are not saved are those that fall within a specified time interval within calculated limits. Optimum parameter assignment is determined through the following specifications: ● Required accuracy of the archived data ● Required compression
Because the value range and the sampling rate differ in various use cases, only general information regarding the parameter assignment can be given here. The advantage of compression is lost if values are archived too frequently. The display of the value trend is less accurate if a larger deviation is selected. Mode of Operation The first value saved in the process value archive is the base value. If values have already been stored in the archive, the last archived value is used as the base value. Values that fall within a continuously recalculated value range are not saved. Only if a value falls outside this range is the value saved and used as the base point for another calculation of the value range. In order to regularly save values even when the trend characteristic is smooth, use the Tmax parameter to specify the maximum duration for which no values are saved. Continuously calculated value range - compression distribution Values that fall within the value range are not saved. The compression of the data is achieved in this manner.
(1,3) Deviation above, below (2) Last archive value, base value for calculating the value range (4, 5) Continuously recalculated limits of the last archive value The value range corresponds to a triangle that is recalculated with each newly acquired value. The basis for the value range is the last saved value (2) plus your specified deviation (1,3). The high limit (4) and the low limit (5) are adapted based on the measured values. If the value range can no longer be determined because the calculated limits no longer intersect (triangle is no longer possible), the last valid value (value just prior to the value that violated the conditions) is saved and applied as the starting value for the calculation of the following value range. Minimum and maximum time By specifying the minimum time Tmin and maximum time Tmax, you can adapt the accuracy of the archiving to the sampling rate of the values.
If more than one value is measured within the specified minimum time, only the last value is considered. A value is always saved after the maximum time. Notes on parameter assignment If necessary, select parameters initially in such a way that only slight compression is achieved but with high accuracy (small Tmax, small deviation). In this way, you ensure that the data lost through compression is kept to a minimum. If you find out that unneeded values are being archived, you can adapt the parameters in such a way that fewer values are saved, thus optimizing the compression rate.
You can specify the following process tag properties for the configuration of the Swinging Door compression algorithm:
Time period for which measured values are ignored. Starts at the last acquired value. Values within this time period are neither saved nor used for calculating the value range.
Time period for which measured values are ignored. Starts at the last acquired value. Values within this time period are neither saved nor used for calculating the value range.
Maximum period between two archived values. Starts at the last saved value. After this time, the following value is always archived. This value is used as the starting value for calculating the current value range
Select a multiple of the sampling rate for the value of Tmax. This parameter ensures that values are archived periodically and not just depending on the process.
| Preferably, you should select a percentage value. In many use cases, the use of small percentage deviations provides a good compromise between compression and accuracy. In any case, always select a deviation less than 50%. With absolute values, the deviation must be less than half the value range. | |
| Absolute or relative value of the deviation that is permitted when calculating the value range; base value is the last process value saved. | |
| Specified by the high and low limit of compression distribution; relevant only with relative (percentile) deviation. The input of limit values is deactivated in the case of absolute deviation. |
In order to reduce the volume of data in the archive database, the archive tags for a specified period can be compressed. To do this a compressed archive is created, which stores each archive tag in a compressed tag. The archive tags are retained and can be copied, moved or deleted. The compressed archive is stored in the archive database in the same way as the process value archive.
For compression, one of the following functions is applied to the archived process values in a specified period of time: ● Maximum value: The highest process value is saved in the compressed tag. ● Minimum value: The lowest process value is saved in the compressed tag. ● Average value: The average process value is saved in the compressed tag. ● Weighted average value: Saves the weighted average value of the process values in the compressed tag. The time span in which a recorded value has the same value is considered in the calculation of the weighted average value.
