T/XZBX 0086-2025 Intelligent Detection Technology Specification for Pressure Pipe Leakage
T/XZBX 0086-2025 Intelligent Detection Technology Specification for Pressure Pipe Leakage
Basic Information
Scope
Pressure pipelines, as important transportation facilities in industries such as energy, chemical, and metallurgy, undertake the long-distance transmission of media such as liquids, gases, and steam. Their safe operation is directly related to industrial production and public safety. However, due to factors such as corrosion, fatigue, welding defects, external damage, and long-term wear and tear, leakage incidents in pressure pipelines occur frequently, which may lead to environmental pollution, energy waste, and even serious accidents. How to achieve early identification and accurate location of pressure pipeline leaks has become a key issue in ensuring the safe operation of pipelines. Traditional leak detection methods such as manual inspections, pressure differential methods, and flow balance methods have played a role to some extent, but they have limitations such as slow response, large detection blind spots, and insufficient accuracy. With the development of sensor technology, the Internet of Things, artificial intelligence, and big data, intelligent leak detection technologies have gradually matured. By deploying multiple types of sensors, introducing comprehensive analysis of acoustic, optical, infrared, and fluid dynamic signals, and combining machine learning and intelligent algorithms, real-time monitoring, rapid location, and trend prediction of leaks can be achieved. However, there are still problems in the field of intelligent leak detection in pressure pipelines, such as an imperfect standard system, inconsistent detection methods, and a lack of consensus on evaluation indicators, which are not conducive to industry promotion and engineering applications. Therefore, the development of this document is of great significance. This document aims to clarify the overall principles of intelligent leak detection in pressure pipelines, key technical requirements, data fusion and analysis methods, operational management and safety protection measures, provid