Dynamic Data Collection Policy for Terminal Devices
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Solution Overview
Problem
Current data collection policies for power supplement devices, such as electric vehicle charging and battery swap stations, result in excessive data transmission bandwidth usage and network congestion due to fixed collection frequencies and susceptibility to environmental factors, leading to inefficient data collection and processing.
Innovation Solution
A method to dynamically optimize data collection policies by adjusting collection and reporting frequencies based on the terminal device's operating state and monitoring data, prioritizing abnormal and fluctuating data, and caching critical data for timely detection of abnormalities, thereby improving data collection efficiency and reducing network congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If real-time transmission is performed on all data from power supplement devices, then data completeness is improved, but transmission bandwidth consumption increases and network congestion occurs
Solution Approach 1:
The patent applies local quality by differentiating data transmission strategies based on data type and device state. Critical data (abnormal data, real-time data with large fluctuations) is transmitted with higher priority and frequency, while non-critical data is transmitted with lower priority. This selective approach ensures data completeness for important information while reducing overall bandwidth consumption.
Solution Approach 2:
The patent implements partial action by transmitting only a subset of data that meets specific criteria (abnormal data, data with large fluctuations) rather than all collected data. The collection frequency is adjusted dynamically - higher for critical data and lower for stable data - achieving sufficient monitoring coverage while significantly reducing transmission volume.
2Ease of operation
If fixed frequency data collection is used for all devices, then data collection simplicity is improved, but data collection efficiency deteriorates due to inability to adapt to different working conditions
Solution Approach 1:
The patent transforms the static fixed-frequency collection approach into a dynamic adaptive system. The collection frequency automatically adjusts based on real-time device operating states, data stability, and abnormality detection. This dynamic adjustment optimizes data collection efficiency for different working conditions while maintaining operational simplicity through automated decision-making.
Solution Approach 2:
The system implements feedback mechanisms where collected data is analyzed to determine its stability and abnormality. This feedback information is then used to adjust future collection frequencies - stable data receives lower frequency collection while abnormal or fluctuating data triggers higher frequency collection, creating a self-optimizing closed-loop system.
3Measurement precision
If high collection frequency is used to capture abnormal data, then abnormal data detection capability is improved, but network congestion and transmission delay increase
Solution Approach 1:
The patent applies local quality by assigning different collection and transmission frequencies to different data based on their characteristics. Abnormal data and data with large fluctuations are identified and given high-priority, high-frequency collection and immediate transmission, while stable data receives low-frequency collection. This ensures high detection capability for abnormal events without causing network congestion from transmitting all data at high frequency.
Solution Approach 2:
The system performs excessive action only when necessary - high-frequency collection is applied selectively to data showing signs of abnormality or large fluctuations, rather than uniformly to all data. This partial application of high-frequency collection achieves timely abnormal detection while minimizing overall transmission load and delay.
4Adaptability or versatility
If data transmission is performed through wireless networks, then device connectivity is improved, but transmission stability deteriorates due to environmental factors
Solution Approach 1:
The patent implements preliminary action by caching critical data (abnormal data and real-time data with large fluctuations) locally on the terminal device before transmission. This ensures that even when wireless transmission is disrupted by environmental factors, important data is preserved and can be transmitted once connectivity is restored, maintaining transmission reliability while preserving wireless connectivity flexibility.
Data Source
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AI summary
The present invention relates to the technical field of charging/replacing a battery. Specifically, provided are a method and apparatus for optimizing a monitoring data collection policy for a terminal device, which are aimed at solving the problem of how to perform ordered data collection on a terminal device. For this purpose, the method for optimizing a monitoring data collection policy for a terminal device in the present invention comprises: acquiring initial monitoring data of a terminal device; determining an operating state of the terminal device according to the acquired initial monitoring data, and matching a corresponding first-level collection policy according to a determination result; acquiring first-level monitoring data obtained by the terminal device under the first-level collection policy; and determining whether the acquired first-level monitoring data is abnormal, and when there is abnormal data, matching a corresponding second-level collection policy. Furthermore, the apparatus provided in the present invention can execute the method. The technical solution of the present invention can be used to dynamically optimize a data collection policy, and is applicable to terminal devices under different operating conditions, so that the data collection efficiency can be improved.