Adaptive Data Transmission Frequency for Facility Monitoring
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Solution Overview
Problem
Existing data management techniques for facility operation state data consume excessive information processing resources due to the need to store all data, even when the degradation state of facilities is stable, leading to storage capacity reduction and network congestion.
Innovation Solution
An information processing apparatus with a transmission frequency decision unit that adjusts the frequency of data transmission based on the degradation state of facilities, increasing frequency during degradation and reducing it when stable, to prioritize resource conservation and detailed monitoring during degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all facility operation state data is transmitted to the server regardless of degradation state, then complete data is available for analysis, but information processing resources are excessively consumed
Solution Approach 1:
The patent applies dynamics by making the data transmission frequency adaptive rather than static. The transmission frequency decision unit dynamically adjusts the transmission frequency based on the real-time degradation state of the facility. When degradation is detected, transmission frequency increases to capture detailed degradation data; when stable, frequency decreases to conserve resources. This dynamic adjustment resolves the contradiction between maintaining data completeness and reducing resource consumption.
Solution Approach 2:
The patent changes the parameter of transmission frequency based on the degradation state parameter. By monitoring degradation indicators and adjusting transmission frequency accordingly, the system transforms from a fixed transmission mode to a variable transmission mode. This parameter change allows the system to maintain data quality when needed while minimizing resource consumption during normal operation.
2Measurement precision
If data transmission frequency is increased to monitor degradation in detail, then accurate degradation evaluation is achieved, but information processing resources are consumed
Solution Approach 1:
The patent applies local quality by applying different transmission frequencies to different operational conditions. Instead of using a uniform high transmission frequency for all states, the system uses high frequency only locally when degradation is detected, and low frequency when stable. This localized approach to data transmission ensures accurate degradation monitoring when necessary while conserving resources during normal operation.
Solution Approach 2:
The system changes the transmission frequency parameter based on the degradation state parameter. When degradation indicators exceed thresholds, the transmission frequency parameter is increased to improve measurement precision. When stable, the parameter is decreased to reduce resource consumption. This conditional parameter change resolves the contradiction between monitoring accuracy and resource efficiency.
3Loss of energy
If data transmission frequency is reduced to conserve resources, then information processing resources are saved, but degradation detection capability is reduced
Solution Approach 1:
The patent uses dynamics to adjust transmission frequency based on real-time degradation state. The system transitions from a static low-frequency transmission mode to a dynamic mode where frequency increases automatically when degradation signs are detected. This ensures that resource conservation during normal operation does not compromise degradation detection capability when it becomes critical.
Solution Approach 2:
The system implements feedback by continuously monitoring degradation indicators and using this information to adjust transmission frequency. The feedback loop ensures that when degradation is detected, the transmission frequency is increased to maintain reliable degradation detection capability. This feedback mechanism prevents resource conservation from undermining system reliability.
Data Source
AI summary
Provided is an information processing apparatus that can store necessary data in a data storage unit while effectively preventing information processing resources from being consumed. A data acquisition unit acquires facility data. A data transmission unit transmits the facility data acquired by the data acquisition unit to a data storage unit of a server. A transmission frequency decision unit decides a frequency at which the data transmission unit transmits the facility data to the data storage unit. The transmission frequency decision unit decides the frequency at which the facility data is transmitted to the data storage unit in such a way that the frequency at which the facility data is transmitted when a degradation state of a facility is progressing becomes higher than the frequency at which the operation state data is transmitted when the degradation state of the facility is not progressing.


