|
TCS 4.20 - Trends management program for Data Base data and servers internal data
Program system requirements: at least 800x600 graphic display, optimal 1152x864, 50 MB free disk space
New in this version: A new function have been inserted which allow to control, beside the external data, the internal data of the server stored in the Counters used by Performance |Monitor. This function is available only on Windows NT/2000/XP systems.
TCS checked and founded to be 100% clean:
Scan Results of TCS42Setup.exe
TCS42Setup.exe: OK
Known viruses: 78250
Scanned directories: 0
Scanned files: 1
Infected files: 0
Data scanned: 8.31 MB
Time: 3.882 sec (0 m 3 s)
Use the below code to display the award image on your website:
Publisher's Description:
This trends management program handles field data from one or more acquisition systems, or internal performance data from servers. It manages any kind of periodically updated value in a database, which can be reached by SQL query from the computer on which the program is being run.
Data can be displayed, stored, printed and exported either in graphical or numerical format. The program integrates spreadsheet functions and allows visualization on one or multiple pages. Each graphic can display a maximum of six curves. Trends can be visualized on an hourly, daily, weekly, monthly or yearly basis.
Graphics display point values as they arrive from fields.
It can be useful to follow the trends of data mainly over a long period of time and to store important data for successive review. It can be useful also to follow the relevant parameters of a server to control and optimize the performances in peak activities periods, as can be a sustained alarms period in a supervision system.
The maximum number of points data the program can manage is 10,000. The daily, weekly, monthly and yearly graphics report, on selection, the arithmetic average or the weighted average (hourly average for daily and weekly trends and daily average for monthly and yearly trends). The weighted average is based on the time interval between an upgrade and the next.
The data can be only visualized or also memorized in a historical archive.
Useful to display trends of data coming from different sources with a single program.
|
