Collaborative IoT Control Agents for Redundant Energy Management

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Solution Overview

Problem

Traditional centralized control systems for IoT devices in datacenters face scalability, reliability, and efficiency challenges, leading to bottlenecks, latency issues, single points of failure, and inefficient energy management, which are exacerbated by the lack of adaptability and redundancy in handling offline agents or new devices.

Innovation Solution

A decentralized system with collaborative control agents that dynamically assign and rebalance device management tasks, using a cloud server for backup, ensuring continuous command execution and redundancy through peer-to-peer communication and autonomous reissuance of commands.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If centralized control is used to manage IoT devices, then system management is simplified, but scalability and reliability deteriorate due to bottlenecks and single points of failure

Engineering Contradiction:

Improvesystem management simplicityVSAvoidsystem reliability

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The patent segments the centralized control system into multiple distributed control agents that operate autonomously. Each control agent manages a subset of devices independently, eliminating the single point of failure while maintaining manageable complexity through modular architecture. This segmentation allows the system to scale horizontally by adding more control agents without overwhelming a central server.

Inventive Principle:

Principle #1Segmentation

2Ease of operation

If centralized control is used to manage IoT devices, then control logic is centralized, but latency and response time worsen due to bottlenecks

Engineering Contradiction:

Improvecontrol centralizationVSAvoidcommand execution speed

Core Design Contradiction:

Ease of operationVSSpeed

Solution Approach 1:

The control logic is segmented and distributed across multiple control agents deployed at the edge of the network, closer to the devices they control. This segmentation eliminates the communication bottleneck with a central server, reducing latency and enabling faster local decision-making while maintaining coordinated control through inter-agent communication.

Inventive Principle:

Principle #1Segmentation

3Productivity

If more control agents are added to improve scalability, then system capacity increases, but system complexity increases

Engineering Contradiction:

Improvedevice management capacityVSAvoidsystem architecture complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent implements universal control agents with standardized interfaces and protocols that can manage multiple device types uniformly. This multi-functionality allows the system to scale by simply adding more identical control agents without increasing complexity, as each agent follows the same operational patterns and can be independently deployed and managed.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system dynamically adjusts operational parameters such as device assignment boundaries and communication frequencies based on load conditions. This parameter adaptation allows the system to maintain optimal performance across different scales without requiring fundamental architectural changes, thereby managing complexity while scaling capacity.

Inventive Principle:

Principle #35Parameter changes

4Ease of operation

If centralized control manages all devices, then coordination is simplified, but energy efficiency deteriorates due to lack of localized optimization

Engineering Contradiction:

Improvecoordination simplicityVSAvoiddevice energy consumption

Core Design Contradiction:

Ease of operationVSUse of energy by moving object

Solution Approach 1:

The coordination function is segmented and distributed to local control agents that make decisions autonomously based on local conditions. This segmentation enables localized energy optimization strategies to be implemented at each agent's managed devices without requiring complex centralized coordination, thereby reducing overall energy consumption while maintaining system-wide coherence through standardized communication protocols.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12560901B1Collaborative agents for managing energy consuming devices and methods thereon

Publication Date: 2026.02.24 LOD TECHNOLOGIES INC

AI summary

A system for monitoring and managing internet of things devices, the system comprising a distributed approach, wherein a cloud server coordinates control agents that directly manage IoT devices. The agents collaborate to handle device monitoring, data collection, and command execution in a closed-loop manner, ensuring continuous oversight. The Agents can autonomously reissue commands if execution fails, stop devices if necessary, and even share control responsibilities among themselves, providing redundancy. This decentralized approach reduces reliance on a central server, minimizes single points of failure, and improves responsiveness by allowing agents to manage devices independently or in cooperation.