Cloud-Edge Data Transmission for Electrochemical Energy Storage
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Solution Overview
Problem
Current cloud-edge data transmission methods for electrochemical energy storage stations face reliability issues due to network fluctuations and transmission channel load, leading to transmission interruptions and data loss, which affect the accuracy of diagnosis and analysis.
Innovation Solution
A method that detects communication and working conditions between edge and cloud nodes, caches data during abnormalities, sends connection re-establishment requests, and switches transmission modes based on load conditions to ensure reliable data transmission, including caching data during interruptions and prioritizing critical values during abnormal conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cloud-edge data transmission is implemented, then service experience is improved and operation cost is reduced, but transmission interruption and data loss occur due to network fluctuations and channel load, reducing reliability
Solution Approach 1:
The patent applies preliminary action by caching data locally at the edge node before transmission occurs. When network abnormalities are detected, the system has already prepared cached data that can be transmitted later, preventing data loss due to transmission interruptions. This is implemented through the cache module that stores data packets locally and the transmission module that sends cached data when network conditions improve.
Solution Approach 2:
The patent implements feedback mechanisms through the detection module that continuously monitors network status and transmission status. When data loss or transmission interruption is detected, the system responds by retransmitting data from cache or adjusting transmission strategies. This closed-loop feedback ensures data integrity despite network fluctuations.
2Loss of information
If all data is transmitted during abnormal working conditions, then complete information is provided to cloud node, but transmission channel load increases and may cause further network instability
Solution Approach 1:
The patent applies local quality by differentiating between characteristic values (critical data) and non-characteristic values (non-critical data). During abnormal working conditions, only characteristic values are transmitted to the cloud node, while non-characteristic values are cached locally. This selective transmission approach ensures critical information is conveyed while minimizing channel load and energy consumption.
Solution Approach 2:
The patent implements partial action by transmitting only the necessary portion of data (characteristic values) during abnormal conditions rather than all data. When the system returns to normal operation, the remaining non-characteristic values are transmitted. This partial transmission strategy prevents overwhelming the network during critical periods while still ensuring complete data delivery eventually.
Data Source
AI summary
The present disclosure relates to method for cloud-edge data transmission of an electrochemical energy storage station, including: caching the first data to be transmitted and sending a connection re-establishment request to the cloud node; sending second data to be transmitted to the cloud node; sending the cached first data to the cloud node in an idle period after the first period; determining a characteristic value of third data to be transmitted, sending the characteristic value to the cloud node, and caching a non-characteristic value apart from the characteristic value, in a case where an abnormal working condition of the edge node is detected; sending to the cloud node fourth data to be transmitted; and sending the non-characteristic value of the third data to the cloud node in an idle period after the second period.