IIoT Energy Cloud Platform for Real-Time Factory Energy Distribution
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Solution Overview
Problem
Traditional energy management systems in industrial settings face challenges such as data silos, lagging responses, and inefficient management, making it difficult to meet the refined energy management requirements of modern industries.
Innovation Solution
An industrial Internet of Things (IIoT) energy management system based on a management cloud platform, which includes an IIoT management platform, an IIoT sensor network platform, and an IIoT perceptual control platform. This system generates energy information from monitoring data and equipment operation parameters, and sends it to the management cloud platform for analysis and regulation instruction generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional energy management systems are used, then system simplicity is maintained, but data silos and lagging response occur leading to inefficient management
Solution Approach 1:
The patent merges multiple energy management subsystems (IIoT management platform, IIoT sensor network platform, IIoT perceptual control platform, and management cloud platform) into an integrated energy management system. This integration breaks down data silos by enabling seamless data flow between platforms, achieving real-time energy monitoring and management while improving overall management efficiency through unified coordination.
Solution Approach 2:
The management cloud platform serves as an intermediary that connects and coordinates the IIoT platforms with enterprise energy management needs. It receives energy information from IIoT platforms, performs big data analysis, generates regulation instructions, and feeds them back to control energy distribution, thereby eliminating lagging response through real-time intermediary processing.
2Measurement precision
If real-time monitoring and analysis of energy data is implemented, then accurate energy statistics and predictive analysis are achieved, but data processing complexity increases
Solution Approach 1:
The patent segments the energy management system into specialized platforms with distinct functions: the IIoT sensor network platform for data collection, the IIoT management platform for data aggregation, and the management cloud platform for big data analysis. This segmentation allows each component to focus on specific tasks, achieving accurate energy measurement while distributing data processing complexity across multiple specialized modules.
Solution Approach 2:
The system creates standardized energy information models and regulation instruction templates that can be replicated across different factories and energy types. By copying proven management approaches from standard factories to target factories, the system achieves precise energy analysis without proportionally increasing processing complexity, as standardized models can be reused.
3Loss of energy
If energy distribution is optimized by comparing target factories with standard factories, then energy efficiency is improved, but system adaptability requirements increase
Solution Approach 1:
The patent optimizes energy distribution by dynamically adjusting energy allocation parameters based on comparisons between target factories and standard factories. The management cloud platform analyzes energy information, identifies optimization opportunities through parameter changes (such as energy distribution ratios, equipment operation parameters), and generates regulation instructions that reduce energy waste while adapting to different factory characteristics.
Solution Approach 2:
The system establishes universal energy management standards and regulation instruction templates that can be applied across multiple factories and energy types (electricity, gas, water, etc.). By creating multi-functional regulation mechanisms that work across different contexts, the system improves energy efficiency through standardized best practices while maintaining adaptability to specific factory needs through customizable parameters.
Data Source
AI summary
Disclosed is an industrial Internet of Things (IIoT) energy management system and method based on a management cloud platform. The IIoT energy management system comprises the management cloud platform and an IIoT system. The IIoT system includes an IIoT management platform, an IIoT sensor network platform, and an IIoT perceptual control platform. The IIoT energy management method comprises: the IIoT management platform generating energy information, and sending the energy information to the management cloud platform; the management cloud platform receiving the energy information; determining an energy feature of one of target factories; determining a first energy distribution of one of the target factories; for a target factory of which the first energy distribution does not satisfy a first preset condition: obtaining a standard factory; generating a standard management parameter; and generating a regulation instruction and sending the regulation instruction to the IIoT management platform corresponding to the target factory.