Reduce alarm rates efficiently
The exploratory data analysis functions offered by the B&R APROL process control system are now also available for historical alarm data. This makes it possible to identify and eliminate unnecessary alarms and notifications. A sustainable approach to alarm management can relieve plant personnel and improve safety.
An excessive number of alarms and notifications can actually backfire and desensitize operators. They may become careless about acknowledging alarms or even disable signal devices like horns and bells, seriously compromising plant safety. Alarm management should therefore be included in a plant's earliest design phases.
The APROL alarm statistics report helps users meet these requirements. It provides key performance indicators (KPIs) for efficient alarm management per the requirements of EEMUA 191, ANSI/ISA 18.2 and IEC 62682.
KPI reporting helps identify consequential and chattering alarms, providing helpful information about the average alarm rate per operator and unit of time. Analysis of daily, weekly or monthly data can provide a solid foundation for identifying weaknesses in the alarm system and can quickly determine appropriate measures for reducing alarm rates.
Minimizing consequential alarms
The consequential alarm report effectively identifies cause-and-effect relationships between alarms to help minimize the occurrence of consequential alarms. This report can also be used to analyze alarms resulting from operator intervention and operator interventions carried out in response to process alarms.
APROL alarm reports are available via the intuitive web-based user interface that requires no additional software other than a web browser. With APROL, implementing alarm management could hardly be easier.
Exploratory data analysis
In addition to traditional report-based analysis where the content is rigidly defined, the APROL process control system also offers exploratory data analysis. This method defines only the sources of the data, but not how it is presented. Reports and analyses can be customized and modified at any time with the ease of drag-and-drop. A manager may want boiled down, summarized performance data, while a process engineer can call up detailed information about an individual process. The data displayed can be changed, filtered and sorted interactively.