The embodiments of the present disclosure provide methods for assessing electrochemical corrosion of a smart gas pipeline. The method may be implemented based on a smart gas pipeline network safety management platform of an Internet of Things system for assessing electrochemical corrosion of a smart gas pipeline. The method may include: obtaining environmental data of at least one position of a gas pipeline at a first time; determining an electrochemical corrosion degree of each of the at least one position of the gas pipeline at a second time based on the environmental data of the at least one position at the first time, wherein the first time is before the second time; determining, based on electrochemical corrosion degree, a protection scheme of the gas pipeline.

The embodiments of the present disclosure provide methods for assessing electrochemical corrosion of a smart gas pipeline. The method may be implemented based on a smart gas pipeline network safety management platform of an Internet of Things system for assessing electrochemical corrosion of a smart gas pipeline. The method may include: obtaining environmental data of at least one position of a gas pipeline at a first time; determining an electrochemical corrosion degree of each of the at least one position of the gas pipeline at a second time based on the environmental data of the at least one position at the first time, wherein the first time is before the second time; determining, based on electrochemical corrosion degree, a protection scheme of the gas pipeline.

A system and method for detecting multiple incidents in a set of flow meter units attached to a set of water consuming units. A plurality of uniquely identified flow meter units are operatively connected to a central control unit. The control unit is programmable to send alerts based on leaking incident status of particular flow meter units so that a responder may receive the alert and timely address the alert. The central control receives and stores data from the multiple flow meter units, including volumetric flow, time, and status and location of each alert. A method of detecting leaking in a building having multiple separate units, each unit having a unit water supply, includes placing a specially configured controller having a flow meter and automatic shut-off valve in each unit of the building. Leak sensors are positioned in water-leak risk areas wherein the controller communicates with both the flow meter and the sensors. A communication is established in between the controller and the sensors. One or more individuals are identified to receive an alert when leakage (or over-pressure conditions) occurs. Water flow is measured with the controller in multiple of the units and using one or more of the sensors. The measurements detect changes when compared to earlier established baseline parameters. An alert is sent to one or more of the individuals (e.g. owner(s), maintenance staff, management) when an abnormal water flow valve is measured.

A system and method for detecting multiple incidents in a set of flow meter units attached to a set of water consuming units. A plurality of uniquely identified flow meter units are operatively connected to a central control unit. The control unit is programmable to send alerts based on leaking incident status of particular flow meter units so that a responder may receive the alert and timely address the alert. The central control receives and stores data from the multiple flow meter units, including volumetric flow, time, and status and location of each alert. A method of detecting leaking in a building having multiple separate units, each unit having a unit water supply, includes placing a specially configured controller having a flow meter and automatic shut-off valve in each unit of the building. Leak sensors are positioned in water-leak risk areas wherein the controller communicates with both the flow meter and the sensors. A communication is established in between the controller and the sensors. One or more individuals are identified to receive an alert when leakage (or over-pressure conditions) occurs. Water flow is measured with the controller in multiple of the units and using one or more of the sensors. The measurements detect changes when compared to earlier established baseline parameters. An alert is sent to one or more of the individuals (e.g. owner(s), maintenance staff, management) when an abnormal water flow valve is measured.

A leak detection sensor may be capable of dynamically adjusting a sampling time for acoustic data based on monitored fluid flow. The leak detection sensor monitors leak detection information associated with a fluid in a fluid transporting medium over a predetermined time interval, where the leak detection information comprises flow and pressure of the fluid in the fluid transporting medium, and processing the leak detection data monitored at the sampling time in the predetermined time interval, where the sampling time is determined based at least in part on the monitored flow of the fluid.

Provided is a water leakage detection method for detecting water leakage of a water pipe by a water leakage detection apparatus that includes a processor and a display device. The method includes: a first procedure of the processor acquiring a water leakage detection result of the water pipe in a district metered area, the district metered area being a range to be measured by a flow meter; a second procedure of the processor acquiring a water leakage detection result of the water pipe obtained based on measurement data of a vibration sensor terminal attached to the water pipe; and a third procedure of the processor outputting, a screen for displaying the water leakage detection result obtained based on the measurement data of the flow meter together with the water leakage detection result obtained.

A method and system for detecting an anomaly in a pumped pipeline is disclosed. A data stream is received over time on operation of the pump and pump start and pump stop event data is obtained from the data stream. For each pair in time of a pump start event and preceding pump stop event in the data stream flow is calculated and compared to expected flow. Variation between calculated flow and expected flow is recorded as an exception and an alarm is triggered in dependence on the exception.

A method and system for detecting an anomaly in a pumped pipeline is disclosed. A data stream is received over time on operation of the pump and pump start and pump stop event data is obtained from the data stream. For each pair in time of a pump start event and preceding pump stop event in the data stream flow is calculated and compared to expected flow. Variation between calculated flow and expected flow is recorded as an exception and an alarm is triggered in dependence on the exception.

The present invention provides the use of usual operational sensors of pressure, temperature, flow and specific mass already installed and available in oil and gas pipelines and methods of statistical inference, optimization and artificial intelligence that allow detection and location of leaks in pipelines. The invention has the following components: sensor communication module (1); statistical tools for compensation of measurement and model uncertainties (2); automatic leak detection techniques (3); leak locator (4); graphical user interface (5); measuring sensors (6); flow simulator (7); historical database (8).

The present invention provides the use of usual operational sensors of pressure, temperature, flow and specific mass already installed and available in oil and gas pipelines and methods of statistical inference, optimization and artificial intelligence that allow detection and location of leaks in pipelines. The invention has the following components: sensor communication module (1); statistical tools for compensation of measurement and model uncertainties (2); automatic leak detection techniques (3); leak locator (4); graphical user interface (5); measuring sensors (6); flow simulator (7); historical database (8).