AEMS: Adroit Environmental Monitoring Framework
Instead of tags, users work with sensors. Different sensor interfaces can readily be included for overall management. This is ideal for OEM sensor manufacturers who are able to leverage the AEMS framework in a very beneficial and efficient manner.
Regardless of the sensor type, or sensor manufacturer, AEMS provides a common ‘look and feel’ for system users, and is designed to allow OEM suppliers and sensor manufacturers to implement their own ‘plugins’ which work within the framework.
AEMS is equally suited to large, static systems with lots of the same type of equipment as it is to dynamic systems with equipment from different manufacturers that is frequently added, relocated, or removed.
The diagram alongside shows how the various components stack up in the implementation of a Fire Detection system provided for a number of different underground mining operations in South Africa
These are created using standard features of the Adroit Smart UI, meaning that they can easily be adapted to varying end-user requirements. All status information and process variable values pertaining to a given sensor are depicted on the sensor wizard, which also includes navigation to the Sensor Faceplate and Device Faceplate of the device the sensor is connected to.
The Sensor Faceplate, shown on the main diagram at the top of this page, includes:
- Real time trends with data summary
- Sensor status information
- Sensor alarm list
Users are able to configure Sensor Modes, Model Selection, Backup Head, Alarm Limit, Alarm Delay, Fire Algorithm, as well as Sensor Documentation including Standard Operating Procedures, General Notes, etc.
- Device creation
- Tag creation including device scanning
- Logging configuration
- Auditing configuration – important user actions are logged to SQL database
- User security configuration
- Basic alarming configuration
- EEMUA 191 Alarm Management configuration
- Data warehousing configuration (Adroit SCADA Intelligence)
- For steady-state operation – average alarm rate
- For plant upset – maximum alarm rate (burst rate)
Performance improvement is an iterative process, and there are defined performance levels from overloaded through to predictive.
Alarm reporting allows alarm system performance to be measured and thereby improved by analysing historical alarms, highlighting unwanted/unecessary alarms and identifying problem areas in the plant.
Adroit SCADA Intelligence is a data warehousing solution that collects and processes data from different data sources, making the resulting information available on a common platform to enable decision making. It is built on the Microsoft Business Intelligence Technology Stack using SQL Integration Services for data processing, SQL Analysis Services for rapid data retrieval, and SQL Reporting Services for reporting