Fluid Conveyance Data Marketplace for Flexible Sensor Data Access
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Industrial environments face challenges in efficiently collecting, managing, and utilizing data from multiple sensors due to varying network connectivity, noise sources, and equipment upgrades, leading to limited data availability and inflexible sensing configurations that hinder smart solutions for monitoring and optimization.
Innovation Solution
A self-organizing data marketplace with data collectors, storage, and transaction systems that collect, store, and self-organize data based on user requests, utilizing machine-based intelligence to package and provide data dynamically, and a system for routing analog signals from sensors to output channels with adjustable routing schemes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is collected from multiple sensors in industrial environments, then data availability increases, but network connectivity issues and noise sources reduce data quality and reliability
Solution Approach 1:
The system segments data collection by creating multiple data pools organized by sensor type, location, and parameter. Each data pool is independently managed and can be selectively accessed, allowing the system to filter out noisy or unreliable data while maintaining overall data availability.
Solution Approach 2:
A self-organizing data marketplace acts as an intermediary between sensors and users. This marketplace organizes, validates, and manages data from multiple sensors, filtering out noise and ensuring quality before presenting data to users, thus resolving the conflict between quantity and reliability.
2Adaptability or versatility
If sensing configurations are made flexible to adapt to varying conditions, then adaptability improves, but system complexity increases
Solution Approach 1:
The system implements dynamic sensing configurations where data collectors can be activated or deactivated based on real-time conditions. The self-organizing data marketplace dynamically routes data requests to appropriate sensors, allowing flexibility without requiring complex manual reconfiguration of the entire sensing network.
Solution Approach 2:
The self-organizing data marketplace automatically manages sensing configurations based on user requests and environmental conditions. Instead of requiring external control for each configuration change, the system self-adjusts by organizing data pools and routing requests appropriately, reducing the perceived complexity for users.
3Device complexity
If data is stored centrally for analysis, then data management simplifies, but data access time and network bandwidth consumption increase
Solution Approach 1:
Instead of a single centralized storage system, the patent implements segmented data pools distributed across multiple locations and devices. Each data pool stores specific types of sensor data locally, allowing users to access relevant data from nearby pools rather than retrieving everything from a central repository, thus reducing access time and network bandwidth consumption while maintaining organized data management.
Data Source
AI summary
Methods and systems for a data marketplace in a fluid conveyance device includes a self-organizing data marketplace. The self-organizing data marketplace includes at least one data collector and at least one corresponding fluid conveyance device in an industrial environment, wherein the at least one data collector is structured to collect detection values from the fluid conveyance device; a data storage structured to store a data pool comprising at least a portion of the detection values; a data marketplace structured to self-organize the data pool; and a transaction system structured to interpret a user data request, and to selectively provide a portion of the self-organized data pool to a user in response to the user data request.