17949245. IDENTIFYING TELEMETRY DATA USING ARTIFICIAL INTELLIGENCE simplified abstract (Caterpillar Inc.)
Contents
- 1 IDENTIFYING TELEMETRY DATA USING ARTIFICIAL INTELLIGENCE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IDENTIFYING TELEMETRY DATA USING ARTIFICIAL INTELLIGENCE - 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
IDENTIFYING TELEMETRY DATA USING ARTIFICIAL INTELLIGENCE
Organization Name
Inventor(s)
Lucas Inoue Sardenberg of Oak Park IL (US)
IDENTIFYING TELEMETRY DATA USING ARTIFICIAL INTELLIGENCE - A simplified explanation of the abstract
This abstract first appeared for US patent application 17949245 titled 'IDENTIFYING TELEMETRY DATA USING ARTIFICIAL INTELLIGENCE
Simplified Explanation
The patent application describes an artificial intelligence machine designed to analyze telemetry data of uncertain origin and produce candidate telemetry channel identification data at its output.
- The artificial intelligence machine utilizes vast knowledge of construction machinery in its design and construction.
- The machine makes decisions based on the telemetry data it receives to generate candidate telemetry channel identification data.
- A confidence measure is generated by the machine to determine the accuracy of the candidate telemetry channel identification data.
- If the confidence measure meets a certain threshold, the candidate data is considered sufficiently accurate.
- If the confidence measure does not meet the threshold, the candidate data is returned to the machine for further analysis and hypothesis generation.
Potential Applications
This technology could be applied in various industries such as aerospace, automotive, and telecommunications for accurate telemetry data analysis and channel identification.
Problems Solved
This technology solves the problem of analyzing telemetry data of uncertain origin and accurately identifying telemetry channels, which can be crucial for decision-making in various industries.
Benefits
The benefits of this technology include improved accuracy in telemetry data analysis, faster identification of telemetry channels, and enhanced decision-making based on the analyzed data.
Potential Commercial Applications
Potential commercial applications of this technology include telemetry data analysis software for aerospace companies, automotive manufacturers, and telecommunications providers.
Possible Prior Art
One possible prior art could be existing artificial intelligence systems used for data analysis and pattern recognition in various industries.
Unanswered Questions
How does the artificial intelligence machine handle data security and privacy concerns?
The article does not address how the machine ensures the security and privacy of the telemetry data it analyzes.
What are the potential limitations of the artificial intelligence machine in terms of scalability and complexity of telemetry data?
The article does not discuss the scalability and complexity limitations of the artificial intelligence machine when analyzing large volumes of telemetry data or data with intricate patterns.
Original Abstract Submitted
Vast knowledge of construction machinery is brought to bear in the design and construction of an artificial intelligence machine that accepts telemetry data of uncertain origin and, through a set of decisions executed within the machine, and produces candidate telemetry channel identification data at its output. Candidate telemetry channel identification data may be considered sufficiently accurate when a confidence measure generated by the artificial intelligence machine meets a confidence threshold condition. Otherwise, the candidate telemetry channel identification data is returned to the artificial intelligence machine in which hypotheses are generated as to the identities of the received telemetry data.
