IoT Device Management System with Cloud-Based Event Reconstruction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current IoT device management systems lack the ability to automatically monitor and dynamically react to events in real-time, and fail to efficiently reconstruct application systems when they do not meet predetermined evaluation criteria, leading to inefficiencies and potential failures in environmental and vital signs monitoring, and energy management.
Innovation Solution
An IoT device management system and method that utilizes a cloud server connected to IoT devices via a network to gather data, analyze events, determine causes, and implement solutions, including adding or removing devices, and reconfiguring existing ones to ensure system performance meets evaluation criteria, using predictive models and solution databases to automate responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If IoT device management systems use traditional monitoring methods, then system structure is simple, but they lack real-time automatic monitoring and dynamic reaction capabilities
Solution Approach 1:
The patent introduces a cloud server as an intermediary component that centralizes the automatic monitoring and dynamic reaction functions. The cloud server receives data from IoT devices, processes it using predictive models, and sends control commands back to devices. This mediator approach enables advanced automation without requiring complex local processing in each IoT device, thus resolving the contradiction between automation extent and device complexity.
Solution Approach 2:
The system segments functionality between edge devices (simple data collection and execution) and cloud infrastructure (complex analysis and decision-making). This segmentation allows IoT devices to remain simple while the overall system achieves high automation through the cloud-based event monitoring and dynamic reaction capabilities.
2Productivity
If IoT systems manually evaluate and adjust device configurations, then system complexity is low, but productivity and response time are insufficient
Solution Approach 1:
The patent implements self-service through automated event monitoring and dynamic reconstruction capabilities. The system automatically evaluates device performance against predetermined criteria, identifies events requiring attention, and executes reconstruction actions without human intervention. This self-service mechanism dramatically improves productivity by enabling rapid system adaptation while the cloud-based automation manages the complexity, preventing it from burdening operational personnel.
Solution Approach 2:
The system performs preliminary actions by pre-defining evaluation criteria and predictive models before operations begin. These pre-configured parameters enable the system to automatically assess device states and trigger appropriate responses without requiring complex real-time human decision-making, thus improving productivity while keeping management complexity manageable through advance preparation.
3Reliability
If IoT systems lack predictive models and solution databases, then device complexity is low, but reliability and measurement precision are insufficient
Solution Approach 1:
The patent applies preliminary action by pre-establishing predictive models and solution databases that contain pre-analyzed patterns and optimal responses. These pre-computed resources enable the system to reliably assess device states and determine appropriate actions without requiring complex real-time computation, thus improving reliability while managing data processing complexity through advance preparation of analytical frameworks.
Data Source
AI summary
An IoT device management system and method that automatically monitors and dynamically reacts to events and reconstructs application systems is provided. The IoT device management system can be a location-based network system includes a plurality of communication nodes.