Extended data recording
Traffic analysis for TDM is based on the same technology as line and alarm monitoring. In addition to the line signals, data from the signalling channel and optionally also from the voice channels are recorded and evaluated.
This application can also be used with IP-based lines by using LMS IP probe that filters the VoIP traffic and evaluates them according to the same criteria as TDM data.
Recording and evaluation of call data
Traffic data logging generates a call detail record (CDR) for all incoming and outgoing connections. This also applies for failed connections. In addition to the calling and called numbers, connection parameters such as setup and release time, duration of the connection, progress indicators and cause/location values are logged.
The data are logged by remotely operated LMS probes that are directly connected to the communication lines. LMS probes are available for logging data of TDM lines (ISDN, POTS) or VoIP traffic on IP networks.
Periodically or at the request of the management system, the protocol data are loaded from the LMS probe onto the AMIRA management system. Viewers with extensive filtering capabilities are available for analysing the data.
The line results can also be statistically evaluated. A comfortable reporting tool (Business Objects) is available for the evaluation of these data, which makes it easy to generate and publish complex reports in various formats.
The data can be anonymised according to the relevant regulations to comply with data protection requirements.
Inband analysis
This optional application can record inband tones differentiate between inband dialling and signalling tones (free tone, call tone, engaged tone, group engaged tone) as well as between voice, fax and analog data connections.
The service type (voice, fax or modem) as well as the inband tones are evaluated with a DSP application and forwarded as parameters in the call detail record.
Inband quality analysis
This optional application records approximately 10-second long voice samples of individual connections. The voice samples are evaluated by a voice quality algorithm. The results of the evaluations include the MOS value (Mean Opinion Score) as well as other parameters that provide information about the type of quality degradation effects.
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