18071243. CONTINUOUS ONLINE VALIDATION OF PROCESS MEASUREMENTS IN DIGITAL TWINS simplified abstract (Saudi Arabian Oil Company)

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CONTINUOUS ONLINE VALIDATION OF PROCESS MEASUREMENTS IN DIGITAL TWINS

Organization Name

Saudi Arabian Oil Company

Inventor(s)

Hassan Mohammadali Al Matouq of Al Qatif (SA)

Mohamed Ahmed Soliman of Oakville (CA)

Rida Majed Bin Hashim of Safwa (SA)

CONTINUOUS ONLINE VALIDATION OF PROCESS MEASUREMENTS IN DIGITAL TWINS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18071243 titled 'CONTINUOUS ONLINE VALIDATION OF PROCESS MEASUREMENTS IN DIGITAL TWINS

Simplified Explanation

The abstract describes a method for monitoring sensors by comparing actual sensor readings to virtual sensor readings of a virtual model. Deviations between the two readings are used to determine if revalidation/recalibration is required for either the actual sensor or the virtual sensor.

  • Monitoring sensors by comparing actual sensor readings to virtual sensor readings
  • Determining deviations between actual sensor readings and virtual sensor readings
  • Identifying when revalidation/recalibration is needed for actual sensors or virtual sensors based on deviations

Potential Applications

This technology could be applied in various industries such as manufacturing, healthcare, and environmental monitoring to ensure the accuracy and reliability of sensor data.

Problems Solved

This technology helps in identifying when sensors need revalidation/recalibration, preventing inaccurate data and potential errors in systems relying on sensor readings.

Benefits

The system provides a proactive approach to sensor maintenance, ensuring data accuracy and system reliability. It helps in reducing downtime and improving overall system performance.

Potential Commercial Applications

"Sensor Monitoring and Revalidation Technology: Improving Data Accuracy and System Reliability"

Possible Prior Art

One possible prior art could be the use of sensor calibration techniques in various industries to ensure accurate sensor readings.

What are the specific industries that could benefit from this technology?

Industries such as manufacturing, healthcare, and environmental monitoring could benefit from this technology by ensuring the accuracy and reliability of sensor data.

How does this technology compare to traditional sensor monitoring methods?

This technology offers a proactive approach to sensor monitoring by comparing actual sensor readings to virtual sensor readings, allowing for early detection of deviations and the need for revalidation/recalibration. Traditional methods may not provide such a proactive approach, leading to potential inaccuracies in sensor data.


Original Abstract Submitted

Systems and methods include a method for monitoring sensors. Readings of actual field sensors corresponding to virtual sensors of a virtual model are monitored. A deviation between an actual sensor reading (ASR) and a virtual sensor reading (VSR) is determined. When only the VSR is deviating and when sensor readings of sensors proximate to the actual sensor correspond to the VSR, then the ASR is invalid and the actual sensor requires revalidation/recalibration. When only the ASR is deviating and when sensor readings of sensors proximate to the actual sensor correspond to the ASR, then the VSR is invalid and the virtual sensor requires revalidation/recalibration. When both the VSR and ASR are deviating from design ranges and when sensor readings of sensors that are proximate to the actual sensor do not correspond to either the ASR or the VSR, then both the ASR and VSR are invalid, requiring revalidation/recalibration.