Building Energy Pattern Control for Multi-Device Management
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Solution Overview
Problem
Current building energy management systems lack comprehensive energy management capabilities, particularly in efficiently utilizing IoT and machine learning technologies to collect and analyze energy and control information from devices within buildings.
Innovation Solution
A building energy management system that collects energy and control information from devices, generates pattern data using a module connected to each device, and uses a server to classify and analyze this data for energy management, including features like time synchronization, control subject classification, and communication through various communication schemes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If comprehensive energy management is implemented by collecting data from all devices, then energy management capability is improved, but system complexity increases
Solution Approach 1:
The system segments energy management by device type, creating separate pattern data sets for different device categories (lighting, HVAC, appliances). Each device type has its own energy pattern profile, allowing comprehensive monitoring without requiring a monolithic complex system structure.
Solution Approach 2:
A server acts as an intermediary between individual devices and the energy management system. The server collects energy information from devices, generates pattern data, and implements control decisions, simplifying the overall system architecture by centralizing data processing and control logic.
2Measurement precision
If detailed energy information and control information are collected from each device, then measurement precision is improved, but data processing complexity increases
Solution Approach 1:
The system performs preliminary classification of energy information and control information by device type before detailed analysis. Pattern data is generated in advance for different device categories, establishing a structured framework that simplifies subsequent detailed data processing and analysis.
Solution Approach 2:
The system transforms raw energy data into pattern data by changing the representation parameters. Energy information and control information are converted into standardized patterns that capture essential characteristics while reducing data complexity, enabling efficient processing without losing measurement precision.
Data Source
AI summary
The building energy management system includes a first module connected to a first device to generate first pattern data including information related to an energy and a control of the first device; and a server that receives the first pattern data from the first module and controls the first device through the first module based on the first pattern data, wherein the first module is configured to receive a plurality of time information, and a plurality of energy information and a plurality of control information respectively corresponding to the plurality of time information from the first device, classify the plurality of control information according to a control subject, a control location, and a control item for operation of the first device, and generate the first pattern data based on the plurality of energy information and a plurality of classified control information including information related to power of the first device.