Data Processing Systems and Methods

Synopsis

Patent 8,175,848 B2 describes a pioneering data processing system and method specifically designed for asset health management (AHM). This invention offers a flexible, scalable, and intelligent framework for analyzing complex data, addressing the critical need for efficient and adaptable solutions in monitoring the operational integrity of assets across diverse industries.

A core novel aspect of this invention is its innovative AHM core software framework, distinguished by its remarkable extensibility. This framework allows for the dynamic loading of various analytical functions and algorithms at runtime or compile time, enabling seamless integration of new capabilities without requiring a complete system overhaul. Data transfer between these functions is managed through sophisticated "data streams," acting as highly efficient channels for information flow. A key differentiator is the system's advanced time management capability, which meticulously distinguishes between "processing time" (when data calculations occur) and "data time" (when the data corresponds to the physical system being monitored). This enables precise synchronization of multiple analytical tasks and, uniquely, allows functions to appear to execute instantaneously or even perform retroactive data processing, which is invaluable for diagnosing intermittent faults or analyzing historical trends. The framework also intelligently caches data streams in memory for efficient future storage and access, ensuring data availability for comprehensive analysis.

The commercial potential for this data processing technology is substantial, poised to significantly enhance operational efficiency, reduce costs, and improve safety across a multitude of sectors that rely on complex asset monitoring and predictive analytics. Possible applications include:

• Industrial Internet of Things (IIoT) and Predictive Maintenance: This framework is ideally suited for managing vast quantities of sensor data generated by industrial machinery and equipment. It enables real-time condition monitoring, advanced predictive analytics, and optimized maintenance scheduling for critical assets in manufacturing, power generation, oil & gas, and mining operations, minimizing downtime and maximizing productivity.

• Fleet Management and Transportation: For comprehensive monitoring of large fleets of vehicles, trains, or aircraft. The system can integrate diverse sensor data (e.g., engine performance, braking systems, avionics) to provide holistic health assessments, facilitating proactive maintenance, enhancing safety, and improving logistical efficiency.

• Smart Infrastructure: Essential for continuously monitoring the structural health and operational parameters of critical infrastructure such as bridges, pipelines, and smart electrical grids. The system integrates data from distributed sensors to provide real-time alerts and long-term trend analysis, ensuring reliability and public safety.

• Healthcare Technology and Patient Monitoring: Adaptable for managing data from complex medical devices, monitoring patient vital signs in critical care settings, or processing health data from wearable sensors. This enables advanced diagnostic analytics and supports personalized health management and remote patient care.

• Aerospace and Defense: For real-time health monitoring of complex aircraft systems, naval vessels, combat vehicles, and critical defense infrastructure. This ensures operational readiness, improves safety, and minimizes the risk of mission-critical failures by providing timely and accurate diagnostic insights.

• Big Data Analytics Platforms: The core framework's modularity, extensibility, and sophisticated data stream management make it an excellent foundation for general-purpose big data analytics platforms, particularly those specializing in the processing and analysis of large volumes of time-series data.

This patent offers a robust and highly adaptable data processing architecture that provides a compelling opportunity for licensees to develop superior asset health management solutions, driving innovation and efficiency in data-intensive environments.