Data Collection Terminal Prioritizing Transmission by Information Value
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Solution Overview
Problem
Current data collection and management systems face inefficiencies in resource utilization due to uniformly processing data of varying importance, leading to wastage of network and calculation resources, as existing techniques fail to dynamically adjust based on changing data importance.
Innovation Solution
A system where terminals calculate an information value for transmitted data and determine transmission based on this value and transmission cost information, notified by a management apparatus, thereby prioritizing data transmission according to importance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is transmitted uniformly regardless of importance, then all data is captured for analysis, but network and server resources are wasted on low-value data
Solution Approach 1:
The patent applies local quality by differentiating data transmission treatment based on data importance. High-importance data (e.g., safety-critical vehicle information) is transmitted promptly and frequently, while low-importance data (e.g., routine diagnostic information) is transmitted less frequently or only when necessary. This selective approach ensures that network and server resources are concentrated on valuable data while maintaining adequate coverage for analysis.
Solution Approach 2:
The patent implements dynamics by making data transmission adaptive rather than static. The system dynamically adjusts transmission frequency and timing based on real-time factors such as data importance level, current network conditions, server load, and vehicle state. This allows the system to optimize resource usage while ensuring critical information is always captured.
2Measurement precision
If data transmission frequency is increased to capture important changes, then analysis accuracy improves, but resource consumption increases
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the data transmission frequency based on the importance parameter of the data. For high-importance data such as vehicle position information during critical maneuvers or safety events, the transmission frequency is increased to capture detailed changes. For low-importance data, the transmission frequency is reduced, optimizing the balance between measurement precision and resource efficiency.
3Reliability
If all data is processed equally at the server, then comprehensive analysis is possible, but calculation resources are wasted on redundant data
Solution Approach 1:
The patent applies the extraction principle by separating high-importance data from low-importance data before server processing. The terminal device identifies and extracts critical data (such as safety-related information or significant event data) for prioritized transmission and processing. Low-importance data is either transmitted less frequently or processed with lower priority, allowing the server to focus calculation resources on data that most contributes to analysis comprehensiveness.
Data Source
AI summary
A data collection and management system includes: a terminal(s) that transmits measured data; and a management apparatus that receives and manages the measured data transmitted from the terminal(s). The management apparatus includes a notification unit that notifies the terminal(s) of transmission cost information indicating a cost incurrable upon transmitting measured data to the management apparatus by the terminal(s). The terminal(s) includes: a calculation unit that calculates an information value indicating a value of measured data as information; and a transmission control unit that determines whether to transmit measured data to the management apparatus based on the information value and the transmission cost information.