20240037454. Optimized IoT Data Processing for Real-time Decision Support Systems simplified abstract (Bank of America Corporation)
Contents
Optimized IoT Data Processing for Real-time Decision Support Systems
Organization Name
Inventor(s)
Om Purushotham Akarapu of Hyderabad (IN)
Daniel D. Widjanarko of San Francisco CA (US)
Durgadatta Belhekar of East Mumbai (IN)
Jitendra Upadhyay of Bhopal (IN)
Rama Krishnam Raju Rudraraju of Hyderabad (IN)
Optimized IoT Data Processing for Real-time Decision Support Systems - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240037454 titled 'Optimized IoT Data Processing for Real-time Decision Support Systems
Simplified Explanation
The patent application relates to optimized data processing for real-time decision support systems in the Internet of Things (IoT). The system uses prioritization codes and processing codes for real-time processing prioritization. Edge devices generate processing codes to optimize data processing. The system receives sensor data, preprocesses it using a simplified state estimation module, calculates a variance, and uses it to determine a processing code and/or a prioritization code.
- The patent application focuses on optimizing data processing for real-time decision support systems in the IoT.
- The system uses prioritization codes and processing codes for real-time processing prioritization.
- Edge devices play a role in generating processing codes to optimize data processing.
- Sensor data is received and preprocessed using a simplified state estimation module.
- The variance calculated from the preprocessed sensor data is used to determine a processing code and/or a prioritization code.
Potential Applications:
- Real-time decision support systems in various industries such as manufacturing, healthcare, transportation, and agriculture.
- IoT applications that require efficient and optimized data processing for real-time decision-making.
- Systems that rely on sensor data and require prioritization and processing codes for efficient data processing.
Problems Solved:
- Inefficient data processing in real-time decision support systems.
- Lack of prioritization and processing codes for optimizing data processing in the IoT.
- Difficulty in determining the appropriate processing code based on sensor data.
Benefits:
- Improved efficiency and speed in real-time decision support systems.
- Optimized data processing for better utilization of resources.
- Enhanced accuracy and reliability in decision-making based on sensor data.
Original Abstract Submitted
aspects of the disclosure relate to apparatuses, method steps, and systems for optimized internet of things (iot) data processing for real-time decision support systems. the systems are used for real-time processing prioritization using a prioritization code and/or processing code. edge devices may generate processing codes that are used in optimizing the data processing. for example, the system receives sensor data and preprocesses the sensor data with a simplified state estimation module to calculate a variance that is used to determine a processing code and/or a prioritization code.
