Industrial
Environmental
Management
EMIS: Environmental Management Information System

Real-time monitoring data

The time-series data from any number of monitoring stations with their sensors can be compiled and analyzed by EMIS.

The data are collected on a regular scheduled or possibly event based by the real-time forward chaining expert system RTXPS, that polls and monitors all sensors and manages the monitoring data base.

Any violations or exceedances of substance specific standards detected by the expert system are indicated by a color coded representation. The display is updated at user defined intervals, possibly down to a few seconds.

In addition to monitoring data from sensors, the time series analysis tools also cover "synthetic time series" generated by the real-time simulation and forecasting models. Tool offer a direct comparison of simulated (forecasted) and observed for model validation (comparing two time-series with each other), in parallel to the compliance monitoring (comparing a time series against and externally pre-defined standard).

For monitoring sensors, the monitoring function and data analysis also includes the polling of all sensors for proper function, calibration data, trend and drift detection to alert the operator to the need for preventive or corrective maintenance to increase reliability, but also minimize efforts by preventive maintenance.


Each record in the summary report page leads to the time series of monitoring data compiled at that sensor location or extracted from the models (forecast and nowcast runs) for that location. User defined alert message or alarms (eMail, fax, SMS) can be defined for each of the sensors to alert an operator without delay especially in case of an emergency like an accidental release of a hazardous substance. The detection of such an exceedance will at the same time trigger the real-time expert system for emergency management, starting with a simulation run and short-term forecast of the evolution of the emergency.

For the statistical analysis of the time series data, a range of statistical (including non-parametric statistics) and display functions is available. Where applicable, the monitoring data can be made available for the various simulation models automatically, as inputs and for real-time data assimilation for scheduled now-cast runs.


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