Process for integrating and applying quality control on irregular time-series data

• US 20070136379A1
• Filed: 02/14/2005
• Published: 06/14/2007
• Est. Priority Date: 02/14/2005
• Status: Abandoned Application

• Current Assignee: Darrell Massie, John Hill, Michael Miller, Peter Curtiss
• Original Assignee: Darrell Massie, John Hill, Michael Miller, Peter Curtiss
• Inventors: Miller, Michael, Hill, John, Massie, Darrell, Curtiss, Peter
• Application Number:
  US10/980,632
• Publication Number:
  US 20070136379A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24568 Data stream processing; Continuous queries
• CPC Class Codes: G06F 16/2477 Temporal data queries
• CPC Class Codes: G06F 16/84 Mapping; Conversion

Abstract

A process for integrating and applying quality control on irregular time-series data comprising the steps of: A component that accepts any number of tag points for integration over arbitrary, user-specified intervals, internal statistical algorithms for manipulating the data streams, routines for accepting values from external sources that can be either sequential on-line data streams or historic data files that simulate said data streams, and methods for identifying suspicious or erroneous data values.

Claims

1. A process for integrating and applying quality control on irregular time-series data comprising the steps of:

accepting any number of tag points used to uniquely identify;

accepting an arbitrary integration interval; and

automatically retrieving data and applying statistical manipulation to provide average data across the interval

2. A process for easily switching the integration process described in claim 1 between archived data and live data.

3. A process for providing data quality assurance simultaneous with the actions described in claims 1 and 2.

4. A process for providing component-to-component communication for setting and retrieving the data files via the use of alphanumeric tag descriptors.