Industrial Protocol Energy Object for Automated Management
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Solution Overview
Problem
Existing industrial protocols lack standardized methods for aggregating energy data and managing energy resources, leading to inefficient and manual control of complex energy flows across networks, especially in dynamic environments like smart grids and Cap & Trade applications.
Innovation Solution
The introduction of an energy object within industrial communication networks that aggregates energy data from various sources, enabling automated management and control of energy usage, including identification of energy types, measurement characteristics, and dynamic control mechanisms for efficient energy distribution and conservation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing industrial protocols are used without energy object extensions, then device compatibility and basic communication are maintained, but standardized energy data aggregation and automated energy management are not achieved
Solution Approach 1:
The energy object is nested within the existing CIP protocol architecture as a specialized object class. It contains energy-specific attributes (energy type, measurement characteristics, aggregation parameters) within the broader CIP object structure, allowing energy management functionality to be embedded without replacing the entire protocol stack. This nested approach enables automated energy management while preserving the underlying protocol structure.
Solution Approach 2:
The energy object is designed as a universal component that can represent multiple forms of energy (electrical, thermal, mechanical, chemical) through a single standardized structure. It provides multi-functional capabilities including data aggregation, measurement, control, and reporting within one object type, enabling automated management across diverse energy sources without requiring separate protocol extensions for each energy type.
2Productivity
If manual methods are used for energy management, then implementation simplicity is maintained, but efficiency and responsiveness in controlling dynamic energy flows are insufficient
Solution Approach 1:
The energy object incorporates measurement characteristics that continuously monitor energy consumption and production. This feedback mechanism provides real-time data on energy flows, enabling automated control systems to respond dynamically to changing conditions. The object structure supports continuous updating of energy status, allowing efficient management and rapid response to energy flow variations without manual intervention.
Solution Approach 2:
The energy object includes pre-configured aggregation parameters and energy type classifications that are established in advance. This preliminary structuring of energy data collection and categorization enables immediate automated processing when energy measurements begin, eliminating the need for manual setup and enabling rapid response to energy management requirements from the outset.
3Loss of information
If discrete energy monitoring sources are collected without aggregation, then data granularity is maintained, but automated control and understanding of overall energy flows are hindered
Solution Approach 1:
The energy object merges multiple discrete energy monitoring sources into a unified data structure. It combines individual energy measurements from various sources while maintaining their distinct characteristics through the energy type identifier and measurement characteristics. This merging enables automated control systems to process consolidated energy data while preserving the granularity needed for detailed analysis and control of individual energy sources.
Data Source
AI summary
An energy object extension to an industrial protocol having a comprehensive suite of attributes, messages and services utilized for the monitoring and control of energy consuming or producing resources by a manufacturing automation application is provided. The energy object includes an identifier associated with an energy resource that is associated with a manufacturing automation application and an energy type associated with the energy resource. This includes a measurement characteristic associated with the energy resource to facilitate energy management by the manufacturing automation application.