Fiber Manhole Localization Using Traffic Cross-Correlation Sensing
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Solution Overview
Problem
Existing methods for determining the precise location of manholes along deployed fiber optic cables are labor-intensive and time-consuming, with paper records often being inadequate and outdated.
Innovation Solution
Utilizing cross-correlation methodologies and ambient road traffic data with distributed fiber optic sensing (DFOS) to detect manhole locations without requiring labor-intensive field surveys.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional field survey methods are used to determine manhole locations, then location documentation can be obtained, but the process is labor-intensive and time-consuming
Solution Approach 1:
The patent replaces mechanical field survey methods with optical sensing technology. Distributed acoustic sensing (DAS) using fiber optic cables detects vibrations caused by vehicle traffic near manholes, automatically identifying manhole locations without physical field surveys. This substitution eliminates manual labor while maintaining location accuracy.
Solution Approach 2:
The system enables the fiber optic cable network to automatically detect and report manhole locations through ambient traffic vibrations. The existing infrastructure serves dual purposes: communication and sensing, eliminating the need for separate field survey operations.
2Measurement precision
If traditional field survey methods are used to determine manhole locations, then location data can be collected, but the process requires significant labor resources
Solution Approach 1:
The patent replaces mechanical field survey methods with optical sensing technology. Distributed acoustic sensing (DAS) using fiber optic cables detects vibrations caused by vehicle traffic near manholes, automatically identifying manhole locations without physical field surveys. This substitution eliminates manual labor while maintaining location accuracy.
Solution Approach 2:
The system continuously monitors fiber optic cables for vibration patterns, enabling ongoing detection of manhole locations and potential changes. This continuous operation replaces intermittent field surveys, significantly improving productivity and providing up-to-date location information.
3Loss of information
If paper records of manhole locations are used, then existing documentation is available, but the records are often inadequate and out of date
Solution Approach 1:
The patent replaces mechanical field survey methods with optical sensing technology. Distributed acoustic sensing (DAS) using fiber optic cables detects vibrations caused by vehicle traffic near manholes, automatically identifying manhole locations without physical field surveys. This substitution eliminates manual labor while maintaining location accuracy.
Solution Approach 2:
The system provides continuous feedback on manhole locations through automatic detection of vibration patterns. This real-time information updates location documentation dynamically, preventing the obsolescence that occurs with static paper records and ensuring current, accurate information is always available.
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 accurate and efficient localization of manholes by analyzing backscattered signals from ambient traffic-induced vibrations, reducing the need for manual surveys and improving location documentation accuracy.
Implementation Method 1
ambiant road traffic operating proximate to the manholes including fiber optic telecommunications cables to detect the manhole locations using distributed fiber optic sensing (DFOS)
Implementation Method 2
our inventive method uses cross-correlation methodologies and ambient road traffic operating proximate to the manholes including fiber optic telecommunications cables to detect the manhole locations
Data Source
AI summary
Systems and methods for manhole localization along deployed fiber optic cables that employs cross-correlation methodologies and ambient road traffic operating proximate to the manholes including fiber optic telecommunications cables to detect the manhole locations using distributed fiber optic sensing (DFOS). Advantageously the manhole locations are determined without employing labor intensive field surveys.


