Abstract: The invention relates to the management of large stationary batteries. The invention is a comprehensive system and process for the management of stationary batteries that are used for backup power and are deployed in widely dispersed locations. The system is comprised of Mega-Tags, a battery testing and data acquisition device, and web-based software. The system software can automatically analyze, determine and report predicted battery failure data such as a future anticipated failure date by aging standard ohmic test values such as impedance, conductance, or resistance, by multiplying the test value by a monthly factor derived from statistical analysis and comparing the aged value to a baseline value to determine the predicted failure date.

Abstract: The invention relates to the management of large stationary batteries. The invention is a comprehensive process for the management of stationary batteries that are used for backup power and are deployed in widely dispersed locations. The OMS™ (Optimization Management System) solution is comprised of Mega-Tags (preferably serialized bar-coded identification labels), a battery testing and data acquisition device, and web-based software. The OMS™ system can automatically analyze, determine and report an estimated runtime for battery unit, such as the length of time that a backup system can provide adequate power to keep the primary equipment operational. These components work together to provide a platform for managing a large number of perishable, expensive, and geographically dispersed assets.

Abstract: The invention relates to the management of large stationary batteries. The invention is a comprehensive process for the management of stationary batteries that are used for backup power and are deployed in widely dispersed locations. The OMS™ (Optimization Management System) solution is comprised of Mega-Tags (preferably serialized bar-coded identification labels), a battery testing and data acquisition device, and web-based software. The OMS™ system employs algorithmic testing to determine whether a particular battery unit needs to be replaced or whether it can be advantageously redeployed. It also determines whether a particular deployment location contains anomalous readings, signifying potential problems with either the batteries themselves or possibly with other electrical equipment at the location. These components work together to provide a platform for managing a large number of perishable, expensive, and geographically dispersed assets.

Abstract: The invention relates to the management of large stationary batteries. The invention is a comprehensive process for the management of stationary batteries that are used for backup power and are deployed in widely dispersed locations. The OMS™ (Optimization Management System) solution is comprised of Mega-Tags (preferably serialized bar-coded identification labels), a battery testing and data acquisition device, and web-based software. The OMS™ system employs algorithmic testing to determine whether a particular battery unit needs to be replaced or whether it can be advantageously redeployed. These components work together to provide a platform for managing a large number of perishable, expensive, and geographically dispersed assets.

Abstract: The invention relates to the management of large stationary batteries. The invention is a comprehensive process for the management of stationary batteries that are used for backup power and are deployed in widely dispersed locations. The OMS™ (Optimization Management System) solution is comprised of Mega-Tags (preferably serialized bar-coded identification labels), a battery testing and data acquisition device, and web-based software. These components work together to provide a platform for managing a large number of perishable, expensive, and geographically dispersed assets.

Abstract: The invention relates to the management of large stationary batteries. The invention is a comprehensive process for the management of stationary batteries that are used for backup power and are deployed in widely dispersed locations. The OMS™ (Optimization Management System) solution is comprised of Mega-Tags (preferably serialized bar-coded identification labels), a battery testing and data acquisition device, and web-based software. The OMS™ system employs algorithmic testing to determine whether a particular battery unit needs to be replaced or whether it can be advantageously redeployed. These components work together to provide a platform for managing a large number of perishable, expensive, and geographically dispersed assets.