IoT Gas Pipeline Temperature Control Against Hydrates and Deformation
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Solution Overview
Problem
Existing natural gas pipeline systems face challenges in maintaining optimal temperature to prevent hydrate formation and pipeline deformation due to temperature extremes, which can lead to blockages, reduced efficiency, and safety risks.
Innovation Solution
An IoT system comprising a management platform, sensor network, and gas equipment object platform, utilizing machine learning models to monitor and adjust gas transportation temperature through air compression devices based on real-time data and deformation assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the temperature in the natural gas pipelines is too low, then hydrate formation occurs leading to pipeline blockage, but increasing temperature to prevent hydrate formation causes pipeline expansion and deformation
Solution Approach 1:
The system performs preliminary deformation assessment before gas transportation to predict potential pipeline deformation under different temperature conditions. By evaluating the pipeline's thermal expansion characteristics in advance and comparing them with safety thresholds, the system determines safe temperature ranges that prevent both hydrate formation and excessive deformation, thus resolving the contradiction between maintaining temperature for reliability and limiting temperature to prevent deformation.
Solution Approach 2:
The invention dynamically adjusts the gas transportation temperature parameter based on real-time pipeline conditions, environmental factors, and pre-assessed deformation characteristics. By changing the temperature parameter within an optimized range determined by the deformation assessment, the system prevents hydrate formation while avoiding pipeline expansion and deformation, thereby resolving the technical contradiction.
2Reliability
If monitoring and control systems are implemented to regulate temperature, then pipeline safety is improved, but system complexity increases
Solution Approach 1:
The system implements a feedback mechanism where actual gas transportation temperature and pipeline condition data are continuously monitored and compared with the safe temperature range determined by deformation assessment. The monitoring platform provides feedback information to the control platform, which automatically adjusts the temperature control instructions. This closed-loop feedback system improves pipeline safety through intelligent regulation while minimizing the need for complex manual intervention systems.
Solution Approach 2:
The deformation assessment model and temperature control system are designed to operate autonomously using pre-collected pipeline parameters and real-time monitoring data. The system automatically performs deformation assessment, determines safe temperature ranges, and adjusts temperature control without requiring complex external intervention or manual analysis, thereby improving safety while keeping the system relatively simple through self-service capabilities.
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
Ensures safe and efficient gas transportation by accurately regulating temperature and preventing pipeline deformation, thereby ensuring stable operation and reliable gas supply.
Implementation Method 1
control, based on at least one adjusted transportation parameter, an air compression device of the gas equipment object platform to adjust a gas transportation temperature
Data Source
AI summary
Disclosed is an IoT system for adjusting a gas transportation temperature, comprising a management platform, a sensor network platform, and a gas equipment object platform. The management platform includes a gas company management platform configured to: obtain pipeline information of a gas pipeline, obtain at least one candidate parameter, and determine at least one transportation parameter; and a government safety supervision management platform configured to: determine a deformation assessment of the gas pipeline; obtain at least one updated candidate parameter; in response to determining that the deformation assessment of the gas pipeline satisfies a preset deformation condition, determine the at least one updated candidate parameter as the at least one transportation parameter; obtain actual temperatures of a plurality of inspection points; determine a confidence level of the at least one transportation station; adjust the at least one transportation parameter; and control an air compression device to adjust a gas transportation temperature.