Cloud Agent Telemetry for Reconfigurable Fracking Pump Assets
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Solution Overview
Problem
The dynamic allocation of mobile industrial assets in changing industrial environments is inefficient due to the lack of effective data collection and analysis systems, particularly in operations like fracking where mobile assets are frequently reassigned, leading to challenges in devising a reliable data collection and analysis solution.
Innovation Solution
A scalable mobile asset management system that uses an agent-based architecture to dynamically allocate mobile assets and configure data collection, maintaining asset models that track capabilities, location, and maintenance schedules, and correlating them with operational demands to recommend asset assignments, utilizing cloud-based platforms for data storage and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile industrial assets are frequently reassigned to different operations, then operational flexibility is improved, but data collection reliability deteriorates due to lack of consistent monitoring
Solution Approach 1:
The patent implements a universal data collection architecture where a single cloud-based platform can monitor multiple mobile assets across different operations. The system uses standardized asset models and telemetry collection protocols that work universally across various asset types and operational contexts, eliminating the need for operation-specific monitoring configurations while maintaining reliable data collection throughout asset reassignments.
Solution Approach 2:
The patent introduces a cloud-based intermediary platform that acts as a mediator between mobile assets and operational systems. This intermediary continuously tracks asset location, status, and telemetry data regardless of which operation the asset is assigned to, ensuring uninterrupted and reliable data collection while allowing flexible reassignment of assets between different operations.
2Device complexity
If traditional data collection systems are used for mobile assets, then system simplicity is maintained, but asset utilization efficiency deteriorates due to lack of real-time analytics
Solution Approach 1:
The patent replaces traditional mechanical or local data collection systems with a cloud-based digital platform. This substitution enables centralized real-time analytics, predictive maintenance capabilities, and automated asset allocation decisions while maintaining relative system simplicity through standardized interfaces and automated processes. The cloud platform processes telemetry data to generate actionable insights that improve asset utilization efficiency without requiring complex on-site monitoring infrastructure at each operation.
3Measurement precision
If comprehensive telemetry data is collected from all mobile assets, then analysis accuracy is improved, but data management complexity worsens
Solution Approach 1:
The patent segments the comprehensive telemetry data into structured asset models with defined data categories and hierarchies. The system organizes data by asset type, operational context, and telemetry parameters, allowing precise analysis of specific data subsets while managing overall data complexity through modular organization. This segmentation enables targeted data collection based on operational needs while maintaining the capability for comprehensive analysis when required.
Data Source
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AI summary
A scalable industrial asset management system dynamically negotiates allocation of mobile industrial assets to industrial operation sites. The asset management system tracks and models the capabilities and availabilities of a pool of mobile industrial assets (e.g., truck-mounted assets or other such assets). Based on a defined demand of a scheduled industrial operation requiring mobile industrial assets (e.g., a fracking operation, a mining operation, etc.) the system selects a subset of the mobile industrial assets that are both available during the scheduled operation and are collectively capable of satisfying the demands of the industrial operation. Moreover, based on the asset models for the subset of mobile industrial assets, the system configures an on-premise cloud agent device to collect telemetry data from the mobile assets during the operation and to migrate the collected data to a cloud-based collection and analytics system.