Sensor Sub-Platform Acquisition Parameters for IIoT Storage Balance

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Solution Overview

Problem

Efficiently managing data acquisition and storage in enterprise-level sensor network platforms is challenging due to the need for flexible and standardized data management, which affects overall system performance.

Innovation Solution

A system and method for determining acquisition parameters of sensor network sub-platforms, including an IIoT management platform that adjusts future acquisition parameters based on remaining storage space, retrieval features, and update priorities, using predictive models to optimize data retrieval and deletion strategies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If data is collected and stored in sub-databases for each sub-platform, then data management flexibility is improved, but system complexity increases

Engineering Contradiction:

Improvedata management flexibilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system divides the sensor network platform into multiple sub-platforms, each with its own dedicated sub-database. This segmentation allows independent data management for different business domains while maintaining overall system coherence through the central management platform.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The management platform acts as an intermediary between sub-platforms and the central system. It handles data acquisition parameter determination, storage space management, and coordination between sub-databases, reducing the complexity burden on individual components.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Quantity of substance

If acquisition parameters are adjusted frequently to optimize storage usage, then storage efficiency is improved, but data retrieval reliability may deteriorate

Engineering Contradiction:

Improvestorage efficiencyVSAvoiddata retrieval reliability

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The system performs preliminary determination of acquisition parameters by analyzing historical retrieval features and predicting future retrieval patterns. This advance planning allows optimization of storage space while ensuring that data needed for future retrievals is preserved.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The management platform continuously monitors actual data retrieval operations and uses this feedback to refine acquisition parameter determination. Historical retrieval features are analyzed to improve future predictions, creating a closed-loop system that balances storage efficiency with retrieval reliability.

Inventive Principle:

Principle #23Feedback

3Productivity

If predictive models are used to determine future acquisition parameters, then data management efficiency is improved, but computational resources increase

Engineering Contradiction:

Improvedata management efficiencyVSAvoidcomputational resources

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The system applies predictive modeling selectively to determine acquisition parameters only when needed for optimization decisions, rather than continuously. This partial application reduces computational overhead while still achieving efficiency improvements in data management.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The predictive model serves multiple functions: it determines acquisition parameters, predicts future retrieval patterns, and guides storage space allocation. This multi-functionality consolidates computational efforts into a single versatile system, reducing overall resource consumption.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260072601A1Systems and methods for determining acquisition parameters of sensor network sub-platforms

Publication Date: 2026.03.12 CHENGDU QINCHUAN IOT TECH CO LTD

AI summary

Provide are a system and a method for determining an acquisition parameter of a sensor network sub-platform. The method comprises: every first predetermined cycle, for a sensor network sub-platform among a plurality of sensor network sub-platforms, determining a future acquisition parameter of the sensor network sub-platform; determining an update priority corresponding to each of the plurality of sensor network sub-platforms through a data retrieval map; and determining a plurality of future acquisition parameters corresponding to the plurality of sensor network sub-platforms based on the update priority, and in response to determining that the update priority corresponding to a target sub-platform satisfies a predetermined adjustment condition, adjusting a future acquisition parameter of the target sub-platform based on future acquisition parameters of a plurality of associated sub-platforms corresponding to the target sub-platform.