Data Transmission System for Local Area Network Server Load Reduction
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Solution Overview
Problem
Conventional data transmission methods result in high server load and resource wastage due to frequent network connections and the need for the server to process all data types simultaneously, making it inefficient for acquiring specific types of data.
Innovation Solution
A data transmission method and system that determine a specific type of data to be transmitted by a data terminal in a local area network, detect the data of that type, and transmit it to a server using predetermined rules, identifying target data terminals with higher data amounts to reduce the number of connections and optimize data acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data terminals transmit all acquired data directly to the server, then data can be acquired timely, but the server experiences large load and network resources are wasted
Solution Approach 1:
The patent segments data transmission by data type, creating separate transmission channels for different data categories (e.g., real-time data, historical data, alarm data). This allows the server to process specific data types through optimized pathways, reducing overall server load while maintaining timely acquisition of critical data.
Solution Approach 2:
The patent introduces a data gateway or edge computing device as an intermediary between data terminals and the server. This intermediary performs preliminary data processing, filtering, and aggregation, reducing the volume of data reaching the server while ensuring timely transmission of important data types.
2Adaptability or versatility
If the server collects all data in the same way, then comprehensive data is acquired, but data of a specific type cannot be acquired quickly
Solution Approach 1:
The patent implements different data collection and transmission strategies for different data types based on their specific requirements. For example, alarm data may be transmitted immediately with high priority, while historical data may be aggregated and transmitted periodically. This localized optimization allows specific data types to be acquired quickly while maintaining comprehensive coverage.
Solution Approach 2:
The patent introduces dynamic data transmission mechanisms where transmission parameters (such as frequency, priority, and method) are adjusted based on data type characteristics and current system conditions. This allows the system to adaptively optimize acquisition speed for specific data types while maintaining versatility in handling multiple data categories.
3Reliability
If a large number of data terminals transmit data frequently, then data freshness is maintained, but network connections are established and released frequently causing resource waste
Solution Approach 1:
The patent establishes persistent network connections between data terminals and the server, eliminating frequent connection establishment and release. Data transmission occurs continuously or at scheduled intervals over these maintained connections, reducing network overhead while ensuring data freshness through regular updates.
Solution Approach 2:
The patent implements periodic data transmission where terminals send data at predetermined intervals rather than continuously or on every data generation event. This periodic approach maintains data freshness within acceptable bounds while significantly reducing the frequency of transmission operations and associated network resource consumption.
Data Source
AI summary
A data transmission method and a system thereof are provided according to the disclosure. A first type is determined for the data to be transmitted by the first data terminal in the local area network, data of the first type stored in all data terminals in the local area network is detected and is transmitted to the server in accordance with the first predetermined rule, where the first terminal is any one of the data terminals in the local area network.