17933824. SENSOR MEASUREMENT CORRECTION BASED ON EMPIRICAL DATA simplified abstract (QUALCOMM Incorporated)

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SENSOR MEASUREMENT CORRECTION BASED ON EMPIRICAL DATA

Organization Name

QUALCOMM Incorporated

Inventor(s)

Krishna Sai Anirudh Katamreddy of San Diego CA (US)

Suresh Shenoy of San Diego CA (US)

Kevin Bradley Citterelle of Leander TX (US)

SENSOR MEASUREMENT CORRECTION BASED ON EMPIRICAL DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 17933824 titled 'SENSOR MEASUREMENT CORRECTION BASED ON EMPIRICAL DATA

Simplified Explanation

The abstract describes a patent application for measurement processing circuitry that corrects measured values of a sensor to determine the power consumption level of a measured object at a specific time point.

  • Measurement processing circuitry corrects measured values from a sensor to determine power consumption levels of a measured object.
  • The corrected value represents the power consumption level of the measured object at a specific time point.

Potential Applications

This technology could be applied in various industries such as energy management, smart home systems, and industrial automation to accurately monitor and control power consumption levels of different devices and systems.

Problems Solved

1. Inaccurate measurement values from sensors can lead to incorrect assessments of power consumption levels. 2. Lack of real-time data on power consumption can hinder efficient energy management and optimization.

Benefits

1. Improved accuracy in determining power consumption levels. 2. Enhanced monitoring and control of energy usage. 3. Potential for cost savings through optimized energy management.

Potential Commercial Applications

Optimizing Power Consumption Monitoring in Smart Homes and Buildings

Possible Prior Art

There may be existing technologies or methods for correcting measured values from sensors to determine power consumption levels, but specific prior art is not known at this time.

Unanswered Questions

How does this technology impact the overall energy efficiency of a system or device?

This technology can potentially improve energy efficiency by providing accurate data on power consumption levels, allowing for better optimization and management of energy usage.

What are the potential scalability limitations of this technology in large-scale industrial applications?

The scalability of this technology in large-scale industrial applications may depend on factors such as the complexity of the systems being monitored and the processing capabilities of the measurement processing circuitry. Further research and testing would be needed to determine the scalability limitations in such applications.


Original Abstract Submitted

In an aspect, measurement processing circuitry may obtain, from a sensor, a first measured value of a measured object, the first measured value corresponding to a first power consumption level of the measured object at a first time point. The measurement processing circuitry may obtain, from the sensor, one or more second measured values of the measured object, the one or more second measured values corresponding to one or more second power consumption levels of the measured object at one or more second time points earlier than the first time point. The measurement processing circuitry may determine a corrected value based on the first measured value and the one or more second measured values, the corrected value representing the first power consumption level of the measured object at the first time point.