The value of remote battery monitoring lies in its efficacy as a predictive tool. Manual battery testing relies on service technicians to physically conduct tests at regular—or not so regular—intervals; the system is prone to procedurals errors and inaccuracy due to inconsistency among technicians performing tests by hand. Additionally, the frequency of manual testing is not sufficient for patterns and trends to emerge, limiting the application of data from such testing to merely capturing isolated snapshots of the health of battery installations.
Remote battery monitoring, on the other hand, leverages the power of trending data to not only ascertain the present status of battery health but to predict future performance and viability. Continuous, consistent collection of data supplies the context needed to establish patterns of performance, enabling organizations to take proactive rather than reactive action.
The role of alarm thresholds
Alarm thresholds are a critical element of remote battery monitoring, as they are the point of connection between data and personnel. An alarm threshold is the pre-determined condition which triggers the battery monitoring system to alert users of an actual or potential problem, ideally in time to avert it or mitigate resultant loss of operational functionality.
There are many factors to consider when setting alarm thresholds, and to a very large extent these are determined by the unique needs and operational protocols of each organization. The following checklist, however, will provide a brief guide to topics to consider and questions to ask as you determine how to set alarm thresholds that work best for you:
The ability of any remote battery monitoring system to enable organizations to avoid the financial and operational loss that accompanies battery failure is tied to its protocols for deploying alarms. These protocols or alarm thresholds are determined by their users, and work best when established with the unique needs, resources, and goals of the organization in mind.