17949778. CORRUPTED SENSORS DETECTION IN SENSOR CONSORTIUM simplified abstract (Accenture Global Solutions Limited)
Contents
- 1 CORRUPTED SENSORS DETECTION IN SENSOR CONSORTIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CORRUPTED SENSORS DETECTION IN SENSOR CONSORTIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
CORRUPTED SENSORS DETECTION IN SENSOR CONSORTIUM
Organization Name
Accenture Global Solutions Limited
Inventor(s)
Satyasai Srinivas Abbabathula of Bangalore (IN)
Nataraj Kuntagod of Bangalore (IN)
Venkatesh Subramanian of Bangalore (IN)
Senthil Kumar Kumaresan of Bangalore (IN)
CORRUPTED SENSORS DETECTION IN SENSOR CONSORTIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 17949778 titled 'CORRUPTED SENSORS DETECTION IN SENSOR CONSORTIUM
Simplified Explanation
The patent application describes a method for detecting a corrupted sensor by comparing the calculated value of a sensor based on historical data and correlating sensors with the measured value of the sensor.
- Providing a first sensor
- Identifying correlating sensors
- Determining correlation between sensors based on historical values
- Calculating value of first sensor based on correlating sensors and correlation
- Measuring value of first sensor
- Determining sensor corruption based on the difference between calculated and measured values
Potential Applications
This technology can be applied in various industries such as automotive, aerospace, manufacturing, and healthcare where accurate sensor data is critical for operations and safety.
Problems Solved
This technology solves the problem of detecting corrupted sensor data which can lead to inaccurate readings, faulty decisions, and potential safety hazards in various applications.
Benefits
The benefits of this technology include improved accuracy of sensor data, early detection of sensor corruption, enhanced reliability of systems, and increased safety in critical operations.
Potential Commercial Applications
Potential commercial applications of this technology include sensor monitoring systems, predictive maintenance solutions, quality control systems, and safety-critical applications in various industries.
Possible Prior Art
One possible prior art for this technology could be sensor fusion techniques used in the field of robotics and automation to combine data from multiple sensors for improved accuracy and reliability.
What are the specific industries that could benefit from this technology?
Various industries such as automotive, aerospace, manufacturing, and healthcare could benefit from this technology by ensuring the accuracy and reliability of sensor data in critical operations.
How does this technology compare to existing sensor monitoring systems?
This technology offers a more proactive approach to detecting sensor corruption by comparing calculated values based on historical data and correlating sensors with measured values, leading to early detection and prevention of potential issues.
Original Abstract Submitted
A method for detection of a corrupted sensor including providing a first sensor; identifying one or more correlating sensors to the first sensor; determining a correlation between the first sensor and the correlating sensors according to historical sensor values; obtaining a calculated value of the first sensor based on values of the correlating sensors and the correlation; obtaining a measured value of the first sensor; and determining whether the first sensor is corrupted according to a difference between the calculated value and the measured value of the first sensor.
