A system for monitoring internal corrosion of a pipeline based on radio-frequency identification (RFID), including a magnetizing device, a RFID tag sensor, and a reader. The magnetizing device is placed on the pipeline, and includes an armature, a first permanent magnet, a first pole shoe, a second permanent magnet and a second pole shoe. The RFID tag sensor is placed on the pipeline, and at the same side with the magnetizing device. The reader is in wireless communication connection with the RFID tag sensor through a reader antenna.

A system for monitoring internal corrosion of a pipeline based on radio-frequency identification (RFID), including a magnetizing device, a RFID tag sensor, and a reader. The magnetizing device is placed on the pipeline, and includes an armature, a first permanent magnet, a first pole shoe, a second permanent magnet and a second pole shoe. The RFID tag sensor is placed on the pipeline, and at the same side with the magnetizing device. The reader is in wireless communication connection with the RFID tag sensor through a reader antenna.

Disclosed herein are components, systems, and methods to monitor acoustic emissions of a high pressure system to predict failure of the high pressure system. Further disclosed herein are components, systems, and methods to monitor acoustic emissions of a high pressure system to identify characteristics of one or more defects as they form and grow within components of the high pressure system. Characteristics of the defects include type, size, growth, and location.

Disclosed herein are components, systems, and methods to monitor acoustic emissions of a high pressure system to predict failure of the high pressure system. Further disclosed herein are components, systems, and methods to monitor acoustic emissions of a high pressure system to identify characteristics of one or more defects as they form and grow within components of the high pressure system. Characteristics of the defects include type, size, growth, and location.

A piping diagnostic device according to an exemplary aspect of the present invention includes: criteria distribution generating means for generating a criteria distribution that is statistical data of criteria data of piping based on construction information about the piping, design information about the piping, and material information about the piping; changed-state distribution generating means for generating a changed-state distribution that is statistical data of changed-state data of the piping that have changed due to aging based on at least either vibration or dynamic pressure of the piping that have changed due to aging; measurement means for measuring at least either vibration or dynamic pressure of the piping; and determining means for determining deterioration of the piping based on the criteria distribution, the changed-state distribution, and at least either vibration or dynamic pressure of the piping.

A piping diagnostic device according to an exemplary aspect of the present invention includes: criteria distribution generating means for generating a criteria distribution that is statistical data of criteria data of piping based on construction information about the piping, design information about the piping, and material information about the piping; changed-state distribution generating means for generating a changed-state distribution that is statistical data of changed-state data of the piping that have changed due to aging based on at least either vibration or dynamic pressure of the piping that have changed due to aging; measurement means for measuring at least either vibration or dynamic pressure of the piping; and determining means for determining deterioration of the piping based on the criteria distribution, the changed-state distribution, and at least either vibration or dynamic pressure of the piping.

A method for acoustic leakage detection in a fluid pipe network (1) uses at least one ultrasonic flow meter (13) installed at a pipe (15, 17). The pipe connects a consumer site (3) to the fluid pipe network. The method includes detecting at least one sound wave traveling along the pipe and/or along fluid within the pipe from a sound source to the at least one ultrasonic flow meter, determining the traveling direction of at least one of the at least one sound wave, interpreting a sound wave of the at least one sound wave as a leakage sound candidate if the determined traveling direction of said sound wave is towards the consumer site, and interpreting a sound wave of the at least one sound wave as a background noise if the determined traveling direction of said sound wave is away from the consumer site.

The embodiments of present disclosure provide a method for processing abnormality of a smart gas pipeline network implemented based on a smart gas safety management platform of a safety management Internet of Things (IoT) system for the smart gas pipeline network. The method may include: obtaining detection information of a gas pipeline in a target area; determining an abnormal pipeline in the target area based on the detection information; and determining an abnormality handling scheme based on the detection information corresponding to the abnormal pipeline.

The embodiments of present disclosure provide a method for processing abnormality of a smart gas pipeline network implemented based on a smart gas safety management platform of a safety management Internet of Things (IoT) system for the smart gas pipeline network. The method may include: obtaining detection information of a gas pipeline in a target area; determining an abnormal pipeline in the target area based on the detection information; and determining an abnormality handling scheme based on the detection information corresponding to the abnormal pipeline.

Methods of detecting pipeline weakening are described herein. The methods include creating a pressure wave in a fluid flowing in a pipeline using an input transducer located at a first position along the pipeline; measuring the pressure wave using an output transducer positioned at a second position along the pipeline that is spaced from the first position, and generating an output signal based on the pressure wave; analyzing the output signal to determine a stiffness of a sidewall of the pipeline positioned between the input transducer and output transducer; and determining if the sidewall includes a defect based on the stiffness of the sidewall, including analyzing a frequency response of the output signal to detect the defect.