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 may be comprised of a plurality of batteries and web-based software. The system software can automatically analyze, determine and report the number of batteries and total cost based on required runtime reserve by computing the power of batteries currently in a system and available batteries for installation.

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 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 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. 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.