Hierarchical Device Data Model for Faster Air Conditioner Management
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Solution Overview
Problem
Existing device management systems face inefficiencies due to their flat data structure, which requires searching all data when accessing specific data, leading to slower data access and increased processing load.
Innovation Solution
Implementing a hierarchical device data model that organizes data into layers for components, functions, and specifications, allowing quicker data access and defining data types and attribute information to manage data access and processing requests effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a flat data structure is used to store device data, then data storage is simple, but data access time increases due to the need to search all data
Solution Approach 1:
The patent segments device data into a hierarchical structure with device-level data and component-level data. Each component has its own data group, allowing the management apparatus to directly access component-specific data without searching through all device data. This segmentation resolves the contradiction by organizing data into manageable segments that can be accessed efficiently.
Solution Approach 2:
The patent introduces a hierarchical dimension to the data structure, moving from a flat single-level structure to a multi-level hierarchy. This dimensional change allows data to be organized by device and component levels, enabling faster access through hierarchical navigation rather than linear searching, thus reducing data access time while maintaining structured organization.
2Productivity
If all device data is stored at the device level, then data management is straightforward, but processing load increases when accessing specific component data
Solution Approach 1:
The patent extracts component-specific data from the general device data and stores it in dedicated component data groups. When component data is needed, the management apparatus can directly access the relevant component's data group without searching through all device-level data. This extraction principle reduces the data search volume and improves processing efficiency by isolating frequently accessed component data.
3Speed
If a hierarchical data structure is implemented, then data access speed improves, but data model complexity increases
Solution Approach 1:
The patent implements a nested hierarchical structure where component data groups are nested within the device data model. Each component data group contains only the specific data relevant to that component, nested within the broader device context. This nesting allows fast access to component data while maintaining the overall device data model structure, balancing access speed with model organization.
Data Source
AI summary
A device management system includes a storage unit and a processing unit. The device management system manages a device serving as a management target. The device is one or both of an outdoor unit and an indoor unit of an air conditioner. The storage unit stores data of the device as a device data model having a hierarchical structure in which information relating to a component of the device is associated with the device. The processing unit, in response to a processing request from an external program, reads or rewrites the data stored as the device data model in the storage unit.