Smart Gas IoT Hierarchical Data Processing Load Management
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Solution Overview
Problem
Current gas data processing systems face challenges in efficiently managing increasing data volumes, leading to insufficient processing capacity and elevated communication loads in gas data centers, without adequately considering the impact of data center load on communication loads.
Innovation Solution
A method and system for hierarchical processing of gas data using smart gas Internet of Things (IoT), which involves obtaining and analyzing gas data sending and receiving information to predict communication loads and determine a time-sharing processing scheme, optimizing resource allocation based on load conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If gas data processing is centralized in a gas data center, then data processing can be unified and managed, but the processing capacity of nodes becomes insufficient and communication load increases
Solution Approach 1:
The patent segments the centralized data processing function into a hierarchical structure with edge computing nodes, regional data centers, and central data centers. Each level processes data locally before transmitting to higher levels, distributing the processing capacity and reducing the burden on any single node while maintaining unified management capability.
Solution Approach 2:
The patent introduces a temporal dimension to data processing by implementing time-sharing mechanisms. Different data processing tasks are scheduled at different times based on node load conditions, allowing nodes to handle more diverse data processing requirements without being constrained by simultaneous processing limitations.
2Productivity
If data processing load increases, then more data can be processed, but communication load capacity requirements increase
Solution Approach 1:
The patent performs preliminary data processing and filtering at edge computing nodes and regional data centers before data is transmitted to the central data center. By pre-processing data locally and only transmitting necessary information upward, the system reduces the communication load capacity requirements while maintaining high data processing volume capability.
Solution Approach 2:
The patent extracts and processes data at multiple hierarchical levels, taking out data processing functions from the central data center and placing them at edge and regional levels. This extraction reduces the communication burden on central nodes while preserving the ability to process large volumes of data through distributed computation.
3Adaptability or versatility
If existing data center load prediction methods are used, then resource scheduling can be optimized, but the impact of data center load on communication load is not considered
Solution Approach 1:
The patent implements a feedback mechanism where data center load information is continuously monitored and fed back into the prediction model. The time-sharing processing scheme dynamically adjusts resource allocation based on real-time load conditions, improving both resource scheduling adaptability and communication load prediction accuracy by considering the interdependence of these factors.
Data Source
AI summary
The present disclosure provides a method and system for hierarchical processing of gas data based on smart gas Internet of Things (IoT). The method is executed via the smart gas IoT. The method includes obtaining gas data sending and receiving information of at least one node in at least one period. The method also includes predicting a gas data communication load of the at least one node in at least one future period based on the gas data sending and receiving information. The method further includes determining a time-sharing processing scheme for the at least one future period based on the gas data communication load of the at least one node in the at least one future period.