Chiller Rating Engine Selection for Predictive Equipment Control
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Solution Overview
Problem
The complexity of modern chillers makes it difficult for customers to determine the appropriate components and properties that suit their needs, as various types and technological advancements have increased the variability of chiller systems, leading to a need for a system to quickly provide chiller ratings based on customer-specific characteristics.
Innovation Solution
A web services system that models and controls building equipment by obtaining device profiles, selecting appropriate rating engines, and generating ratings based on attributes such as device characteristics, power consumption, and performance metrics, which can be used to create predictive models or control equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If chiller systems incorporate multiple types and technological advancements to improve performance and functionality, then device capability and versatility are enhanced, but device complexity increases making it difficult for customers to determine appropriate components and properties
Solution Approach 1:
The patent segments the complex chiller selection process into distinct evaluation dimensions (performance, energy efficiency, reliability, cost) and uses multiple specialized rating engines to assess each dimension separately. This segmentation simplifies the customer's decision-making by breaking down the overwhelming complexity into manageable, independently evaluated components.
Solution Approach 2:
The patent introduces a web services system with multiple rating engines as an intermediary between the complex chiller systems and customers. These rating engines act as mediators that translate complex technical specifications into simplified ratings and comparisons, enabling customers to make informed decisions without needing to understand the underlying complexity.
2Measurement precision
If comprehensive device profiles with multiple attributes are collected to improve rating accuracy, then measurement precision is enhanced, but data processing time and system complexity increase
Solution Approach 1:
The patent segments the device profile data into distinct attributes (performance, energy efficiency, reliability, cost) and processes each attribute through specialized rating engines in parallel. This segmentation enables comprehensive evaluation without sequential processing delays, maintaining high rating accuracy while reducing overall processing time.
Solution Approach 2:
The patent performs preliminary data validation, normalization, and structuring of device profiles before they enter the rating engines. This preliminary action ensures that data is ready for immediate processing, reducing the time required for actual rating generation while maintaining measurement precision through thorough preliminary analysis.
Data Source
AI summary
A system comprising one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations comprising receiving a request for a rating for a device of building equipment, the request for the rating including a plurality of attributes characterizing the device of building equipment including at least a first device characteristic, selecting, from a plurality of rating engines, a first rating engine for use in generating the rating based on the plurality of attributes characterizing the device of building equipment, communicating the first device characteristic to the first rating engine, receiving a first rating for the device of building equipment from the first rating engine, and using the first rating to at least one of generate a predictive model for the device of building equipment or control the device of building equipment.