Intelligent Load Controller for Resource Management
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Solution Overview
Problem
Current systems for resource use measurement and control are inadequate, providing insufficient information, lacking intelligence for automatic control, and failing to effectively reduce energy or resource waste, which hampers efficient management and increases costs for both utilities and consumers.
Innovation Solution
A comprehensive energy management system that integrates monitoring of electricity, water, and gas use data to automatically identify and mitigate waste, using programmable controllers and communication technologies to adjust resource consumption in real-time, aligning with user objectives and optimizing resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If comprehensive monitoring and control systems are implemented, then resource efficiency and waste reduction are improved, but device complexity and implementation cost increase
Solution Approach 1:
The system enables automatic self-adjustment of resource-consuming devices based on pre-defined policies and real-time monitoring data. The intelligent agent autonomously controls devices without requiring manual intervention, allowing the system to serve itself in optimizing resource usage while reducing the need for complex manual control mechanisms.
Solution Approach 2:
The monitoring and control functionality is divided into separate modular components: a monitoring module that collects data, an analysis module that processes information, and a control module that executes adjustments. This segmentation allows each component to be independently optimized and deployed, reducing overall system complexity while maintaining comprehensive functionality.
2Productivity
If real-time automatic control is implemented, then resource management efficiency is improved, but information processing requirements and system intelligence needs increase
Solution Approach 1:
Resource management policies and control rules are pre-configured and stored in the system before actual resource consumption occurs. The intelligent agent has access to pre-defined strategies for different scenarios, allowing it to make rapid automatic adjustments without requiring complex real-time analysis, thereby reducing information processing requirements while maintaining high management efficiency.
3Loss of information
If detailed resource usage monitoring is implemented, then waste discovery and cost reduction are improved, but measurement and data collection complexity increase
Solution Approach 1:
The monitoring system is designed to handle multiple types of resources (electrical energy, water, gas) and multiple measurement parameters through a unified universal interface. This multi-functional approach allows the system to collect and analyze diverse resource usage data without requiring separate complex measurement systems for each resource type, thereby improving waste discovery capability while reducing overall measurement complexity.
Data Source
AI summary
A system uses an intelligent load controller for managing use of a consumable resource at an associated load. The controller has a resource measuring component for measuring the rate of use of the resource by the associated load, including measuring at least one of an instantaneous usage rate and a usage rate over an integration period and a load status component for receiving load status data for the associated load. The controller also has a communication component for receiving control messages from and sending load status messages to other associated controllers; a memory for storing a load control goal set; and a load control computer program responsive to the resource measuring component, the load status component, the control messages from other associated controllers and the load control goal set, to determine a load operating level for, and provide control commands to, the associated load.