Abstract: The embodiments of the present disclosure provide a method and system for compensating ultrasonic metering based on a smart gas Internet of Things system, comprising: determining a first preset condition based on a gas pipeline feature obtained from an external database, wherein the first preset condition refers to a judgment condition for evaluating whether a flow compensation is required; obtaining a gas transportation feature and an environmental feature based on at least one sensor; determining a compensation scheme based on the gas transportation feature, the environmental feature, and the first preset condition, wherein the compensation scheme includes at least one of a flow rate compensation coefficient, a flow compensation parameter, a temperature compensation coefficient, or a pressure compensation coefficient; sending the compensation scheme to an ultrasonic metering device, and controlling the ultrasonic metering device to determine updated flow metering data according to the compensation scheme.

Abstract: Methods and Internet of Things (IoT) systems for gas meter management based on a smart gas platform are provided. The method is implemented based on a smart gas device management platform of the IoT system for smart gas meter management, and the method comprises: obtaining traceability information and user information of a gas meter, the traceability information at least including active data and the active data being related to a gas meter management operation performed on the gas meter; in response to the active data satisfying a preset condition, generating warning information and sending the warning information to at least one associated platform of the IoT system for smart gas meter management; in response to receiving request information of a user, retrieving associated traceability information of the gas meter based on the request information, the traceability information, and the user information; and pushing the associated traceability information to the user.

Abstract: The present invention discloses a method for constructing a surface stress distribution cloud map based on critical refraction longitudinal wave detection. The method comprises: firstly, meshing a surface of a detected article; secondly, The mean transverse stress on different grid lines and the mean longitudinal stress on different grid lines were obtained by the critical refraction longitudinal wave detection method; next, calculating the equivalent stress of each mesh node according to the mean transverse stress on different mesh transverse lines and the mean longitudinal stress on different mesh longitudinal lines on the surface of the detected article; and finally, drawing a stress distribution cloud map of the surface of the detected article according to the equivalent stress. The present invention can obtain the stress situations at different points on the surface of the detected article.

Abstract: Methods for determining a prediction value, an encoder, and a decoder are provided. Reconstructed values of neighboring samples of a current block are acquired, and then filtered to obtain a reference value set of the current block. When a size of the current block is smaller than a preset threshold value, a first constant value is calculated according to a bit depth value of a luma component of a sample in the current block. A difference between the first constant value and a first reference value in the reference value set is determined as a first prediction input value in a prediction input value set. Other prediction input values in the prediction input value set other than the first prediction input value are determined according to the reference value set. Prediction values of samples at specific positions in the current block is calculated and then filtered.

Abstract: Provided are a picture encoding and decoding method, an encoder, a decoder and a storage medium. The decoder decodes a bitstream to obtain a size, a coding mode, and residuals of a current block; when the coding mode of the current block is an MIP mode, calculates a second offset based on the size of the current block, a first offset and reconstructed values of adjacent pixels corresponding to the current block; determines a first prediction value of the current block according to the second offset; and determines a reconstructed value of the current block based on the first prediction value.

Abstract: A method and device for intra prediction are provided. The method includes: when determining that a current level obtained by partitioning an input point cloud is lower than a target level, obtaining occupation information of a first number of neighbouring nodes of a current node; extracting occupation information of a second number of neighbouring nodes from the occupation information of the first number of neighbouring nodes, the first number being greater than the second number, and the second number of neighbouring nodes being in an association relationship with a child node of the current node, and performing intra prediction on occupation information of the child node of the current node based on the occupation information of the second number of neighbouring nodes to obtain a first prediction result.

Abstract: A method and system for monitoring a rail vehicle are provided. The method includes: a local device acquires current operating data and historical operating data of a rail vehicle from a controller of the rail vehicle, herein the local device, which is connected with the controller, is a portable testing device; the local device obtains fault information according to the current operating data and the historical operating data, herein the fault information includes at least one of a fault code and a fault description; the local device obtains a maintenance plan corresponding to the fault information, herein the maintenance plan is obtained through a remote device or a server side; and the local device maintains the rail vehicle according to the maintenance plan. The disclosure solves a technical problem in the traditional art that a troubleshooting process of a rail vehicle is difficult, and when the rail vehicle has a fault, the fault cannot be solved timely.

Abstract: A method and system for monitoring a rail vehicle are provided. The method includes: a local device acquires current operating data and historical operating data of a rail vehicle from a controller of the rail vehicle, herein the local device, which is connected with the controller, is a portable testing device; the local device obtains fault information according to the current operating data and the historical operating data, herein the fault information includes at least one of a fault code and a fault description; the local device obtains a maintenance plan corresponding to the fault information, herein the maintenance plan is obtained through a remote device or a server side; and the local device maintains the rail vehicle according to the maintenance plan. The disclosure solves a technical problem in the traditional art that a troubleshooting process of a rail vehicle is difficult, and when the rail vehicle has a fault, the fault cannot be solved timely.

Abstract: The present invention discloses the application of aptamer in recognition and binding of alkaline phosphatase heterodimer. The present invention provides an aptamer or its derivative, the nucleotide sequence of which is shown in SEQ ID NO: 1 in the sequence listing. The present invention also provides a kit including an aptamer or a derivative thereof, and a carrier for fixing or coupling the aptamer or a derivative thereof, wherein the aptamer is a single-stranded DNA molecule having the nucleotide sequence as shown in SEQ ID NO: 1. The method for capturing and detecting circulating tumor cells, exosomes and free alkaline phosphatase in peripheral blood highly expressing alkaline phosphatase based on the aptamer magnetic nanoparticle technology of the present invention can achieve highly selective capture and detection of target cells, exosomes or free proteins.