Systems and methods for providing multi-dimensional load data on a dashboard
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current building management systems (BMS) lack the capability to provide granular, multi-dimensional load data, making it difficult for users to analyze and identify the root cause of energy leakage and excess consumption effectively.
Innovation Solution
A method and system for generating and presenting multi-dimensional load data through a user interface, allowing users to configure components in multiple dimensions such as component nature (electricity, natural gas, etc.), load type (HVAC, lighting, etc.), and component category (tenant load, vacant load, etc.), enabling detailed analysis and identification of energy usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If building management systems provide aggregated load data only, then system simplicity is maintained, but the capability to analyze energy leakage and excess consumption is insufficient
Solution Approach 1:
The patent segments load data into multiple dimensions including component nature (electricity, natural gas, steam, diesel, gas), load type (HVAC, lighting, plug load, IT), and component category (tenant load, vacant load, common load). This segmentation enables granular analysis of energy consumption patterns while maintaining systematic organization through a multi-dimensional data structure that can be processed efficiently.
2Measurement precision
If building management systems provide detailed multi-dimensional load data, then energy leakage identification capability is improved, but data processing and presentation complexity increases
Solution Approach 1:
The patent introduces multiple dimensions (component nature, load type, component category) to organize and present load data. This dimensional approach allows the system to provide highly granular energy consumption measurements without creating unmanageable complexity, as the multi-dimensional structure enables systematic filtering, aggregation, and presentation of data across different analytical perspectives.
Data Source
AI summary
One implementation of the present disclosure is a method of providing multi-dimensional load data to a user. The method includes generating, by a processing circuit, a user interface that enables a user to configure one or more components in one or more dimensions; receiving, by the processing circuit, a user input requesting load data in a first dimension; generating, by the processing circuit, first dimensional load data for each component in the first dimension; and presenting, by the processing circuit, the first dimensional load data to the user.