IIoT Data Center Storage Allocation and Group Deletion Control
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Solution Overview
Problem
Existing enterprise-level sensor network platforms face challenges in efficiently managing data storage and retrieval across multiple sub-databases, leading to inefficiencies in overall system performance.
Innovation Solution
A system and method for data management in an Industrial Internet of Things (IIoT) data center that includes an IIoT management platform to determine future acquisition and deletion parameters based on storage space, retrieval features, and data grouping, enabling efficient data acquisition and deletion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple sensor network sub-databases are configured to provide proprietary storage space for different business data, then flexibility and efficiency in data management are improved, but the complexity of collecting data and maintaining storage spaces increases
Solution Approach 1:
The system divides data management into multiple independent sensor network sub-databases, each serving specific business data requirements. This segmentation allows flexible data storage while the management platform handles the complexity of coordinating between these segments through standardized interfaces and automated processes.
Solution Approach 2:
The management platform acts as an intermediary between multiple sensor network sub-databases and the data center. It collects data from various sub-databases, manages storage spaces, and coordinates retrieval operations, thereby reducing the complexity burden on individual sub-databases while maintaining flexibility.
2Adaptability or versatility
If data is stored in multiple sensor network sub-databases with proprietary storage spaces, then data management flexibility is improved, but the load on the data center increases
Solution Approach 1:
The management platform performs preliminary data collection and storage space management before data reaches the data center. By pre-organizing data from multiple sub-databases and managing storage capacities in advance, the system reduces the burden on the data center during actual data retrieval and processing operations.
Solution Approach 2:
The management platform serves as an intermediary layer that buffers the load between sensor network sub-databases and the data center. It manages data flow, coordinates retrieval operations, and optimizes storage allocation, thereby reducing the overall load on the data center while maintaining flexible data management across multiple databases.
3Quantity of substance
If storage capacity is increased to accommodate more data, then data retention capability is improved, but the complexity of managing storage spaces increases
Solution Approach 1:
The management platform provides universal functions for managing storage spaces across all sensor network sub-databases. It handles capacity allocation, data collection, and coordination with the data center through standardized processes, thereby managing increased storage capacity without proportionally increasing operational complexity.
Solution Approach 2:
The system enables sensor network sub-databases to self-manage their storage spaces through automated processes coordinated by the management platform. Storage capacity is dynamically allocated and managed based on actual needs, reducing the manual complexity of managing large-scale storage infrastructure across multiple databases.
Data Source
AI summary
Provide are a system and a method for data management based on an Industrial IIoT data center. The system includes an IIoT user platform, an IIoT service platform, an IIoT management platform, an IIoT sensor network platform, and an IIoT sensing and control platform. The IIoT management platform is configured to: determine a future acquisition parameter of a sensor network sub-platform based on a remaining storage space, a first retrieval feature, and a future retrieval feature; determine a pre-increment storage capacity based on the future acquisition parameter; determine a group to be deleted based on the pre-increment storage capacity, the remaining storage space, and a group retrieval feature and a group data volume corresponding to each of a plurality of data groups; generate a parameter update instruction based on the future acquisition parameter; and generate a data deletion instruction based on the group to be deleted.