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System and Method for Analyzing Temperature in a Fixed Network AMI System

IP.com Disclosure Number: IPCOM000240608D
Publication Date: 2015-Feb-12
Document File: 2 page(s) / 28K

Publishing Venue

The IP.com Prior Art Database

Related People

Sean Scoggins; Gerald Paprocki; Raymond Kelley: AUTHOR

Abstract

An AMI head-end application may collect temperature data from remote sensors, combine this data with geographical information about the sensor’s location, and analyze the information for correlation with other data points. The system can support decision making about the impact of geography, direction of installation, and other factors on temperature over all (or a subset of) the sensor population. The system may also support decision making around how to set local temperature thresholds in each device (based on micro-climate factors local to that device) or even set these automatically so that temperature excursions above a threshold can be alarmed.

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Elster Solutions, LLC

208 S. Rogers Lane, Raleigh, NC 27610

Inventors:  Sean Scoggins

Gerald Paprocki

Raymond Kelley

This invention is software related.

E20140150 -- System and Method for Analyzing Temperature in a Fixed Network AMI System.

Background:

An AMI head-end application may collect temperature data from remote sensors, combine this data with geographical information about the sensor’s location, and analyze the information for correlation with other data points.   The system can support decision making about the impact of geography, direction of installation, and other factors on temperature over all (or a subset of) the sensor population.  The system may also support decision making around how to set local temperature thresholds in each device (based on micro-climate factors local to that device) or even set these automatically so that temperature excursions above a threshold can be alarmed.

Description:

An AMI system, preferably Elster’s EnergyAxis Management Systems (EA_MS), collects information about the temperature sensed by electricity meters or other remote telemetry devices.  The system knows geographic positioning information for each device – latitude, longitude, and direction most importantly.  The “direction” is the direction the electricity meter is facing, normally the direction the side of the structure where the meter is mounted is facing.  The system may also have information about whether the meter is enclosed or directly exposed to sunlight.  The system may collect information about temperature by polling devices or by collecting a timestamped log of temperature data from the devices.  The system may also collect ambient air temperature information from meteorological stations if available.

Using this information, the system can:

1)                  Establish local “normal” temperature for a device by analyzing the temperatures of neighboring “like” devices collected within the same time frame.

2)                  Establish historical “normal” temperature for a device based on  type of device (cellular modem, ethernet, LAN device), time of day, ambient air temperature (if available), month or season, and historical readings – for example, what is the normal temperature for this device on a Spring day when the air temperature is 72 degrees?

3)                  Incorporate weather conditions with other historical factors to refine “normal” temperature for a device on a rainy/cloudy/clear day – for example, what is the normal temperature for this device on a “rainy & overcast” Summer day when the air temperature is 72 degrees versus a “sunny” Summer day …

4)                  Detect statistical deviations from either of these normal temperatures and bring these to an operator’s attention for inspection.

5)                  Establish temperature velocities when devices are sampled periodically a...