Information Processing Device for Gradual Data Reduction
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Solution Overview
Problem
Existing information collection systems face issues with missing significant information due to sharp fluctuations in network congestion, leading to inadequate data collection, particularly for high-priority information.
Innovation Solution
An information processing device with a collection unit, buffer, and transmission unit that gradually reduces information collection and transmission based on collection and transmission speeds, using adjustable information amount reduction levels to manage data collection effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If information amount is reduced by thinning out information depending on network congestion degree and significance, then information transmission efficiency is improved, but significant information may be missed in particular situations
Solution Approach 1:
The patent applies dynamics by making the information collection interval variable rather than fixed. The control unit dynamically adjusts the collection interval based on real-time network congestion degree, allowing the system to adapt to changing network conditions. When congestion is low, collection occurs more frequently; when congestion is high, the interval increases to reduce transmission load, thus resolving the contradiction between transmission efficiency and information completeness.
Solution Approach 2:
The patent changes the parameter of information collection interval based on network congestion degree. By monitoring network conditions and adjusting the collection interval parameter accordingly, the system optimizes the balance between transmitting sufficient information and avoiding network overload. This parameter adjustment ensures that significant information is not missed while maintaining transmission efficiency under varying network conditions.
2Reliability
If information collection interval is shortened to collect information frequently, then information completeness is improved, but network congestion increases
Solution Approach 1:
The system dynamically adjusts the information collection interval based on real-time network congestion monitoring. When network congestion is detected, the control unit automatically increases the collection interval to reduce the frequency of information transmission. This dynamic adjustment prevents network overload while ensuring that information is collected frequently enough to maintain completeness, resolving the contradiction between these two requirements.
Solution Approach 2:
The patent implements a feedback mechanism where the control unit monitors network congestion degree and uses this feedback to adjust the information collection interval. The system continuously observes network conditions and modifies its collection strategy accordingly, creating a closed-loop control system that balances information completeness with network load management.
3Quantity of substance
If information amount is reduced by thinning out information, then transmission load is reduced, but collection status fluctuation causes information loss
Solution Approach 1:
The patent applies dynamics by making the information collection interval variable rather than fixed. The control unit dynamically adjusts the collection interval based on real-time network congestion degree, allowing the system to adapt to changing network conditions. When congestion is low, collection occurs more frequently; when congestion is high, the interval increases to reduce transmission load, thus resolving the contradiction between transmission efficiency and information completeness.
Solution Approach 2:
The patent changes the parameter of information collection interval based on network congestion degree. By monitoring network conditions and adjusting the collection interval parameter accordingly, the system optimizes the balance between transmitting sufficient information and avoiding network overload. This parameter adjustment ensures that significant information is not missed while maintaining transmission efficiency under varying network conditions.
Data Source
AI summary
In the present invention, an information amount of information to be collected is reduced gradually based on a collection speed, a transmission speed, and information amount reduction levels each being gradual setting of processing details of reducing an information amount for each piece of the information to be collected. Hence, when collecting energy information and working information from apparatuses installed in, for example, factories, houses, buildings, and so on, if the apparatuses switch between working and stopping frequently and a situation where the information cannot be collected duly occurs, missing of information to be collected, particularly high-priority information, can be minimized in comparison with cases where the amount of information to be collected is adjusted in accordance with the priority or by a thinning-out process.