System and method for ups battery monitoring and data analysis

A computer implemented method for analyzing raw data relating to battery measurement values collected over a period of time, using a processing/analysis system, to verify a quality of the raw data collected, the method including:

• using a monitoring system to collect raw data point values over a period of time;
• using the processing/analysis system:
• to perform a data cleansing operation by identifying and removing specific ones of said raw data point values determined to be outliers residing outside of a predetermined range of data point values;
• to perform a data condensing operation by identifying and examining successive pairs of the raw data point values which were obtained adjacent one another in time, and whenever the two raw data point values of a given pair are identical, then discarding one said raw data point value of the pair being examined, to thus form a condensed collection of raw data point values;
• from the condensed collection of raw data point values, for each one of said raw data point values:
• using the processing/analysis system to identify a plurality of ones of the raw data point values that were obtained previous in time to a given one of the raw data point values under consideration;
• using the processing/analysis system to examine and assign a weight to each one of the plurality of ones of the raw data point values that were obtained previous in time to create weighted data point values;
• causing the processing/analysis system to use the weighted data point values to generate a predicted data point value which is associated with the raw data point value under consideration;
• and
• using the processing/analysis system to perform a comparison between the predicted data point value and the raw data point value under consideration to determine an error relative to the raw data point value under consideration.

A system for analyzing raw data collected over a period of time, to verify a quality of the raw data collected and to eliminate from further consideration data point values determined to be erroneous data point values, the system including:

• a processing system configured to run an algorithm, and operable to collect raw data point values over a period of time;
• a database in communication with the processor and configured to store the collected raw data point values;
• the processing system further being configured to:
• identify and remove specific ones of said raw data point values determined to be outliers residing outside of a predetermined range of data point values;
• for each one of said specific remaining one of the raw data point values, examine at least two other ones of the raw data point values obtained at points in time prior to a given one of the raw data point values being examined;
• use the at least two other ones of the raw data point values in connection with the algorithm to determine a predicted data point value relative to the given one of the raw data point values being examined;
• and
• use the predicted data point value and the given one of the raw data point values being examined to determine if the given one of the raw data point values being examined is an erroneous data point value.