Pipeline Management Server for Remote Leak Detection
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Solution Overview
Problem
Conventional pipeline management systems cannot efficiently detect abnormalities or diagnose the degradation state of pipelines, requiring on-site skilled workers and lacking remote detection capabilities, which is inefficient and limited in predicting water leaks and preventing related disasters.
Innovation Solution
A pipeline management supporting server and system that integrates a private data processing unit for acquiring and analyzing sensor data, generating abnormality detection information, and a statistical calculation processing unit for creating aging characteristic graphs to diagnose pipeline degradation, enabling remote abnormality detection and degradation state diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If on-site measurement by skilled workers is performed, then water-leakage detection accuracy is improved, but operation complexity and time consumption increase
Solution Approach 1:
The system enables automatic water-leakage detection by having the pipeline management system itself perform the detection function through embedded sensors and processing units, eliminating the need for skilled workers to manually measure and diagnose leaks at site locations
Solution Approach 2:
The patent replaces the manual mechanical measurement process performed by skilled workers with an automated electronic system comprising vibration sensors, signal processing units, and analysis algorithms that automatically detect and diagnose water-leakage conditions
2Productivity
If remote abnormality detection is implemented, then productivity is improved, but degradation state diagnosis capability deteriorates
Solution Approach 1:
The system transitions from traditional two-dimensional map-based pipeline management to a multi-dimensional approach by integrating temporal vibration data, frequency analysis, and aging characteristic graphs that provide both spatial and temporal dimensions for comprehensive pipeline assessment
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring pipeline vibration signals, comparing them against aging characteristics and abnormality patterns, and using this feedback to progressively improve degradation state diagnosis accuracy while maintaining remote operation capabilities
3Reliability
If comprehensive pipeline monitoring is performed, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent divides the pipeline management system into modular functional units including vibration signal acquisition modules, frequency analysis modules, abnormality detection modules, and aging characteristic storage modules, allowing each segment to perform specific functions independently while contributing to overall system reliability
Solution Approach 2:
The system achieves multi-functionality by using the same vibration sensor network and processing platform for multiple purposes including water-leakage detection, abnormality diagnosis, and degradation state assessment, thereby improving reliability without proportionally increasing device complexity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables unified management of pipeline attribute data and location information, efficient remote abnormality detection, and accurate degradation state diagnosis, applicable to various pipeline networks including water supply, oil, and gas facilities.
Implementation Method 1
a vibration measurement device is attached to a target pipeline, collected measurement data are sent to a remote central processing center, and an abnormality such as a water-leakage is detected on the basis of the measurement data
Data Source
AI summary
The present invention provides a pipeline management supporting server capable of unifying management of attribute data of a pipe component and location information on a pipe network, efficiently detecting an abnormality of a pipeline remotely, and diagnosing the degradation state of the pipeline. The pipeline management supporting server (1) of the present invention includes: a private data processing unit (11) and a statistical calculation processing unit (12). The private data processing unit (11) includes an event data acquisition section (114) that acquires event data of a pipeline measured by a sensor(s), a measured event data storage section (112) that stores the event data of the pipeline, a pipeline database data storage section (111) that stores pipeline database data, a possible abnormality detection section (113), and an information output section (115). The possible abnormality detection section (113) identifies a pipeline and a location pertaining to the acquired event data of the pipeline with reference to the pipeline database data stored in the pipeline database data storage section (111) and generates possible abnormality detection information on the acquired event data of the pipeline. The statistical calculation processing unit (12) includes a data analysis section (122) and a statistical calculation data storage section (121) that stores statistical calculation data. The data analysis section (122) prepares, from event data of plural pipelines each having the same attribute as the pipeline pertaining to the event data acquired by the private data processing unit (11), an aging characteristic graph of the plural pipelines. The statistical calculation data storage section (121) stores the aging characteristic graph prepared by the data analysis section (122). The data analysis section (122) further generates degradation state diagnostic information on the pipeline by checking the pipeline pertaining to the event data acquired by the private data processing unit (11) against the aging characteristic graph. The information output section (115) of the private processing unit (11) outputs the degradation state diagnostic information and abnormality determination result detection information that is generated by examining the possible abnormality detection information and the degradation state diagnostic information in comparison.