Environment Information Storage and Playback via Position-Time Association
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Solution Overview
Problem
Current information collection technologies do not effectively address the storage and retrieval of environment information, which is crucial for managing the vast amounts of data generated in today's information explosion era.
Innovation Solution
An environment information storage and playback method and system that acquires and stores position and time data, establishes associations between environment data and these parameters, and allows for the retrieval of environment data based on consistent position and time information, utilizing a collection module, association module, storage module, trigger module, comparison module, and playback module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current information collection technology is used, then general information can be collected, but environment information cannot be stored
Solution Approach 1:
The system integrates multiple detection functions into a unified environment information storage and playback system. The storage module stores not only traditional information but specifically environment information (temperature, humidity, air quality, noise, etc.) by establishing associations with position and time data, making the system capable of handling diverse information types through a single integrated architecture.
Solution Approach 2:
The system segments environment information into distinct detectable parameters (temperature, humidity, air quality, noise levels) and associates each with specific position and time data. This segmentation allows targeted collection and storage of environmental parameters that were previously overlooked by general information collection systems.
2Measurement precision
If environment data is stored with position and time associations, then data retrieval accuracy is improved, but system complexity increases
Solution Approach 1:
The system introduces position data and time data as intermediary elements that mediate between environment data collection and retrieval. These intermediaries create associative relationships without requiring complex direct indexing structures, simplifying the overall system architecture while enabling precise data retrieval through position and time-based queries.
Solution Approach 2:
The system adds position and time as additional dimensions to environment data storage. Instead of storing environment data in isolation, each data point is extended with spatial (position) and temporal (time) dimensions, creating a multi-dimensional data structure that enables precise retrieval while maintaining manageable system complexity through standardized association rules.
3Ease of operation
If position and time data are collected and stored, then environment information can be accurately retrieved, but data storage requirements increase
Solution Approach 1:
The system merges position data, time data, and environment data into unified associative records. Instead of storing these as separate independent datasets requiring multiple storage structures, they are combined into integrated records where environment information is directly linked with its position and time context, reducing overall storage requirements while improving accessibility.
Data Source
AI summary
An environment information storage and playback method, a storage and playback system, and a storage and playback terminal are disclosed. The storage and playback method may include: acquiring current position data and time data (S101); collecting current environment data (S102); establishing a first association between the environment data and the position data, and establishing a second association between the environment data and the time data (S103); storing the position data, the time data, the environment data, the first association, and the second association (S104). The present storage and playback method could store the current environment data based on position and time.