Database for Individual Habitable Units
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Solution Overview
Problem
Travel websites lack detailed information about individual hotel rooms, such as location, size, and amenities, forcing users to contact hotels directly for such specifics, which may not be available.
Innovation Solution
A database system that allows users to input and store detailed information about individual habitable units by drawing and labeling floor plans, including room boundaries, amenities, and geographical coordinates, enabling users to search and filter hotel rooms based on specific criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If travel websites display only basic hotel information (address, price range, snapshots), then the website remains simple and easy to operate, but detailed information about individual rooms (location, size, amenities) becomes unavailable
Solution Approach 1:
The patent divides the hotel into individual habitable units (rooms, suites, apartments) as separate searchable entities. Each IHU is assigned unique identifiers and stored as individual records in the database, allowing detailed information about each unit to be stored and retrieved independently while maintaining overall hotel context.
Solution Approach 2:
The patent transitions from displaying only basic hotel-level information to providing multi-dimensional details about individual rooms including geographical coordinates, precise location within the hotel, square footage, number of beds, amenities, and views. This dimensional expansion of information allows users to search and filter based on specific room characteristics rather than just general hotel properties.
2Ease of operation
If users must contact hotels directly to obtain detailed room information, then the information may be more accurate, but the user experience becomes more complex and time-consuming
Solution Approach 1:
The patent enables users to independently search, view, and compare detailed information about individual hotel rooms through the database system. Users can filter and search for specific room characteristics (location, size, amenities, price) without needing to contact the hotel directly, allowing the system to serve the user's information needs autonomously.
Solution Approach 2:
The patent pre-stores and pre-processes detailed room information in the database before users need it. Information such as geographical coordinates, room dimensions, amenity lists, and pricing is already organized and indexed, allowing users to immediately query and retrieve specific room details without needing to contact the hotel or wait for information to be gathered in real-time.
3Adaptability or versatility
If travel websites provide basic hotel information only, then the system remains simple to manage, but the ability to search and filter by specific room criteria becomes limited
Solution Approach 1:
The patent creates a universal database structure that can store and retrieve information about various types of habitable units (rooms, suites, apartments, cabins) across different hotel types. The same database framework supports multiple search criteria including location, size, amenities, price range, and other characteristics, making the system adaptable to diverse search needs without requiring separate systems for each type of accommodation.
Data Source
AI summary
Techniques for creating and searching a database that stores information about a plurality of individual habitable units (IHUs) are provided. An example of an IHU is a hotel room. Image data that depicts where a plurality of IHUs reside relative to each other is placed on a base image, such as a satellite/map image. The base image is associated with a mapping that maps points on the base image to spatial (e.g., geographical) coordinates. The coordinates of the IHU may be used to generate a computer-rendered view from a window of an IHU. Also, label input is received that labels each IHU reflected in the image data with certain information. Each label indicates a value of an attribute of an IHU, such as its size, price, distance from elevators, etc. A query that targets information about each IHU may be processed and results returned that are ranked based on criteria associated with the query.