Edge Network Event Detection Using Multimodal Device Sensors
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Solution Overview
Problem
Existing technologies in network management and device monitoring lack practical utility, sophistication, granularity, and accuracy in leveraging network connectivity for efficient collection and utilization of device-related information, particularly in 'Internet of Things' applications.
Innovation Solution
Instruments devices with multimodal sensors to collect data, processes it locally or remotely, and uses a network management engine with an event database and machine learning to match sensor data with events, enabling precise event detection and actionable responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional network management approaches are used, then device monitoring is possible, but the granularity and accuracy of device-related information collection is insufficient
Solution Approach 1:
The patent segments network management into multiple hierarchical levels (network management engine, device agents, sensor components) and divides device monitoring into distinct functional modules (data collection, processing, event detection, action triggering). This segmentation enables precise granular collection of device information while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The patent introduces a new dimension of fine-grained device management by implementing multi-level hierarchical structure with network management engine coordinating multiple device agents across different devices and components. This dimensional expansion allows simultaneous monitoring of multiple devices at varying levels of detail, achieving high accuracy without linearly increasing overall system complexity.
2Loss of information
If fine-grained device management is implemented, then visibility and control over networks is enhanced, but system complexity increases
Solution Approach 1:
The patent introduces device agents as intermediary components that reside on individual devices and components, acting as mediators between sensors and the network management engine. These agents collect, process, and filter device information locally before transmitting to the central engine, thereby enhancing visibility and control while reducing the complexity burden on the central management system through distributed intelligence.
Solution Approach 2:
The patent implements preliminary action by having device agents perform data collection, processing, and event detection locally on each device before transmitting information to the network management engine. This preliminary processing at the edge reduces the volume and complexity of data requiring central processing, enabling enhanced visibility without proportionally increasing central system complexity.
3Measurement precision
If multiple sensors and data collection methods are used, then measurement accuracy improves, but device complexity increases
Solution Approach 1:
The patent implements universality by designing device agents with multi-functional capabilities that can collect, process, and manage data from multiple different sensor types and sources. This universal agent architecture enables accurate multi-sensor data collection while reducing device complexity by consolidating multiple specialized components into a single versatile agent that handles diverse sensing functions.
Data Source
AI summary
Network management systems and methods are provided. A system is provided that includes an event database that provides a mapping of multimodal sensor data to events of devices coupled to a network, such as operational or behavioral events. A network management engine obtains a set of multimodal sensor data relating to a device, which may include sensor measurement or output data relating to each of multiple device operation or behavior parameters. The engine determines, utilizing the mapping, a match of the set of multimodal sensor data to a specific event associated with the device. Based at least in part on the determined match, the engine causes generation or updating of event data associated with the specific event, the data being accessible by network management software of the network management system.