Pipe Inspection Data Comparison for Post-Rehabilitation Project Summaries
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Solution Overview
Problem
Wastewater managers face challenges in accurately assessing and managing infrastructure data, particularly pipe segment conditions, leading to inefficient resource allocation and increased risks in infrastructure project management due to inadequate technology for data representation and analysis.
Innovation Solution
A method utilizing inspection robots equipped with sensors to collect laser and sonar condition assessment data, generating infrastructure summary data, and comparing it to provide accurate project summaries, which are then used to optimize spending and minimize execution risks in infrastructure projects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional infrastructure data collection methods are used, then data collection cost is reduced, but measurement precision and reliability of infrastructure condition assessment deteriorate
Solution Approach 1:
The patent replaces traditional mechanical inspection methods with robotic inspection systems equipped with sensors (sonar, laser, CCTV) that can navigate pipe networks autonomously or semi-autonomously. This substitution enables precise measurement of pipe conditions without the limitations of manual inspection, directly improving measurement precision while the modular robot design manages device complexity.
Solution Approach 2:
The inspection robot serves as an intermediary between the inspector and the pipe infrastructure, collecting data through various sensors and transmitting it to analysts. This intermediary approach allows for non-intrusive, high-precision data collection that would be difficult or impossible to obtain through direct human inspection, resolving the contradiction between precision and complexity.
2Reliability
If comprehensive infrastructure data is collected using advanced sensors, then reliability of condition assessment is improved, but loss of time in data collection and analysis increases
Solution Approach 1:
The system performs preliminary data collection and processing during the inspection phase, with robots collecting comprehensive data and performing initial analysis before human analysts review the results. This preliminary action reduces the time required for final assessment while maintaining high reliability through multi-stage verification.
Solution Approach 2:
The system implements feedback loops where inspection data is immediately processed and analyzed, with results fed back to guide further inspection activities. This real-time feedback mechanism optimizes the inspection process, reducing overall time while ensuring comprehensive data collection for reliable assessments.
3Productivity
If detailed pipe segment data is collected and stored, then productivity in making infrastructure decisions is improved, but loss of information management resources increases
Solution Approach 1:
The system extracts and stores only the most critical pipe condition parameters and metadata in centralized databases, rather than storing all raw inspection data. This extraction approach enables efficient decision-making with essential information while reducing data management resource requirements through selective data retention.
Solution Approach 2:
The data management system segments information into different levels of detail and importance, organizing pipe condition data, metadata, and analysis results into structured categories. This segmentation allows users to access only the necessary level of detail for their decision-making needs, improving productivity while reducing overall information management burden.
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
This approach enables fact-based decision-making, reduces the risk of cost overruns, and ensures accurate bids by providing detailed, objective data on pipe conditions, thereby optimizing resource allocation and project execution.
Implementation Method 1
the first pipe segment data comprising one or more of laser condition assessment data and sonar condition assessment data obtained from the inspection robot
Implementation Method 2
the first pipe segment data comprising one or more of laser condition assessment data and sonar condition assessment data obtained from the inspection robot
Data Source
AI summary
Embodiments may be used to evaluate completed inspection jobs using updated pipe segment data obtained by inspecting a rehabilitated pipe after completion of a project. One embodiment provides a method of generating an infrastructure project summary, including: collecting, using one or more sensors of an inspection robot, pipe segment data relating to the one or more pipe segments; the second pipe segment data comprising one or more of laser condition assessment data and sonar condition assessment data; generating infrastructure summary data for at least a part of the network using the pipe segment data, comparing, using a processor, first and second infrastructure summary data; generating, using the processor, a parameter of the infrastructure project summary based on the comparing; and including the parameter of the infrastructure project summary in a project summary report. Other embodiments are disclosed and claimed.