A microfluidic chip having a micro channel for processing a sample is provided. The micro channel may focus the sample by using focusing fluid and a core stream forming geometry. The core stream forming geometry may include a lateral fluid focusing component and one or more vertical fluid focusing components. A microfluidic chip may include a plurality micro channels operating in parallel on a microfluidic chip.

A microfluidic chip having a micro channel for processing a sample is provided. The micro channel may focus the sample by using focusing fluid and a core stream forming geometry. The core stream forming geometry may include a lateral fluid focusing component and one or more vertical fluid focusing components. A microfluidic chip may include a plurality micro channels operating in parallel on a microfluidic chip.

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 present disclosure provides a pipeline monitoring method and Internet of Things system based on smart gas pipeline network safety. The method comprises: determining an inspection need of at least one gas pipeline segment based on pipeline characteristics and transportation characteristics; based on the inspection need of the at least one gas pipeline segment, determining at least one target pipeline segment; sending the at least one target pipeline segment to the smart gas data center, and further sending the target pipeline segment to the smart gas user platform based on the smart gas service platform; based on the at least one target pipeline segment, generating a remote control instruction and sending the remote control instruction to the smart gas data center, and based on the smart gas sensing network platform, sending the remote control instruction to the smart gas object platform to perform deep inspection.

The present disclosure provides a pipeline monitoring method and Internet of Things system based on smart gas pipeline network safety. The method comprises: determining an inspection need of at least one gas pipeline segment based on pipeline characteristics and transportation characteristics; based on the inspection need of the at least one gas pipeline segment, determining at least one target pipeline segment; sending the at least one target pipeline segment to the smart gas data center, and further sending the target pipeline segment to the smart gas user platform based on the smart gas service platform; based on the at least one target pipeline segment, generating a remote control instruction and sending the remote control instruction to the smart gas data center, and based on the smart gas sensing network platform, sending the remote control instruction to the smart gas object platform to perform deep inspection.

The present invention discloses an optimization method for natural gas pipeline operation under the carbon neutrality target. From the perspective of energy structure adjustment, the present invention proposes a complete low-carbon and low-consumption optimization model of long-distance natural gas transmission network, which is used for fine calculation of multi-energy carbon emissions and energy consumption in the transportation process of natural gas pipeline network; according to different energy structure backgrounds, the corresponding objective function for minimum carbon emissions is established, the optimization algorithm is adopted to solve the objective function for minimum carbon emissions and work out the optimal scheduling scheme. The present invention can realize energy conservation and emission reduction in the process of pipeline transportation and provide technical support for achieving the target of “peak carbon dioxide emissions and carbon neutrality” in the entire natural gas industry of China as early as possible.

A hydrogen infusion system is provided that introduces hydrogen to a natural gas pipeline in order to reduce greenhouse gas emission of the pipeline. The system uses pressure differentials between the hydrogen and the natural gas pipeline to introduce the hydrogen, and as a result the system does not use a pump or any method of compression to enter the pipeline.

A data concentration system for an inner detector of an oil-gas pipeline, and a timing control method, the system includes: a multi-channel data receiving module, a data concentration module and a data transmission module. The multi-channel data receiving module is electrically connected to a plurality of probes of an inner detector and is configured to receive detection data acquired by the plurality of probes. The data concentration module is electrically connected to the multi-channel data receiving module, and is configured to receive the detection data outputted by the multi-channel data receiving module and compress the detection data. The data transmission module is electrically connected to a data storage module of the inner detector and the data concentration module respectively, and the data transmission module is configured to receive compressed detection data.

The disclosure relates to systems, methods and apparatus for analyzing an infrastructure system including measurement of a parameter associated with the infrastructure system, electronically recording the measured parameter as a data, transferring the data to an infrastructure unit which may be remote from the infrastructure system, analyzing the data to generate a risk model, and predicting a characteristic of the infrastructure system according to the risk. An implementation plan may be generated, and/or maintenance services may be performed as per the characteristic that is predicted.

The disclosure relates to systems, methods and apparatus for analyzing an infrastructure system including measurement of a parameter associated with the infrastructure system, electronically recording the measured parameter as a data, transferring the data to an infrastructure unit which may be remote from the infrastructure system, analyzing the data to generate a risk model, and predicting a characteristic of the infrastructure system according to the risk. An implementation plan may be generated, and/or maintenance services may be performed as per the characteristic that is predicted.