Centralized Pipe Fusion Data Management System
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Solution Overview
Problem
Current pipe fusion technologies face challenges in efficiently managing and analyzing data from multiple remote fusion and installation processes, particularly in ensuring effective control and maintenance of PVC pipe systems, which are limited by existing joint methods and lack of reliable Hydrostatic Design Basis (HDB) determination at varying expansion levels.
Innovation Solution
A pipe fusion data management system that collects, stores, and processes data from remote sources, including fusion data, pipe data, and operational parameters, using a centralized interface to generate visual user interfaces for monitoring and analysis, enabling effective management and control of multiple fusion processes across various locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple remote fusion processes are conducted across various locations, then pipe installation and repair capabilities are improved, but data collection, transmission, and analysis become increasingly complex and difficult to manage
Solution Approach 1:
The patent combines multiple data collection, storage, processing, and analysis functions into a single centralized database system. This merging approach allows the system to handle data from multiple remote fusion processes while maintaining manageable complexity through unified data management rather than distributed separate systems.
Solution Approach 2:
The centralized database system is designed to perform multiple functions: collecting data from various remote sources, storing diverse data types, processing information, and generating analyses. This multi-functional approach improves adaptability across different pipe installation and repair applications while consolidating complexity into a single universal platform.
2Reliability
If real-time monitoring and data analysis are implemented, then operational control and exception identification are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system implements real-time feedback mechanisms by continuously monitoring fusion process data, comparing it against expected parameters, and immediately identifying exceptions or deviations. This feedback loop improves operational reliability by enabling prompt detection and correction of issues while the centralized database manages the complexity of real-time data processing.
3Manufacturing precision
If comprehensive data from multiple fusion processes is collected and analyzed, then process control and quality assurance are improved, but data management complexity and storage requirements increase
Solution Approach 1:
The system extracts only the essential and relevant data elements from multiple fusion processes that are necessary for quality assurance and process control. By selectively extracting critical data rather than managing all possible data, the system maintains high manufacturing precision while reducing the overall data management burden and storage requirements.
Data Source
AI summary
A pipe fusion data management system, including: a data receiving interface for receiving data directly or indirectly from at least one remote source, the data including at least one data field representing at least one of the following: fusion data, pipe data, parameter data, operation data, configuration data, condition data, measurement data, entity data, user data, or any combination thereof; an input for facilitating user input; a storage device for storing received and/or input data; and a processor for generating a visual user interface to display received, input, stored, and/or processed data relating to the fusion, joining and/or installation process.