China Institute of Water Resources and Hydropower Research

Tsinghua University

Beijing Kingsoft Internet Security Software Co., Ltd.

Zheng Wei

Baozhong Zhang

Zhigong Peng

He Chen

Jiabing Cai

Wei Zhao

Songling Huang

Shen Wang

Qian Zhang

Lu Liu

Chen Zhao

Yinong Li

Xinjie Yu

Shisong Li

Yaqi Wang

Xin Han

Lijuan Du

Nana Han

Songjun Han

Junjie Chen

Congying Han

Taisheng Du

Shaozhe Lin

A farmland reference crop evapotranspiration prediction method based on uncertainty of meteorological factors, includes: S. acquiring a set number of groups of weather forecast data of a prediction region within a preset time period; S. inputting each group of weather forecast data into a Bayesian probability forecast system to obtain corrected weather forecast data; and S. inputting each group of the corrected weather forecast data into a trained RBF neural network, and predicting to obtain a farmland reference crop evapotranspiration. In the present invention, the Bayesian probability forecast system is configured to correct the weather forecast data and eliminate uncertainty of weather forecast data to obtain the accurate reference crop evapotranspiration forecasted by the RBF neural network using these data.

Farmland reference crop evapotranspiration prediction method considering uncertainty of meteorological factors

An Internet-of-Things-based crop growth monitoring device includes a plurality of monitoring mechanisms. Each monitoring mechanism includes a base and a support rod fixed on the base. The support rod is provided with an electric element installation casing formed by snap-fitting an upper conical cover and a lower conical cover. A component for driving a swing cantilever to rotate is provided on the support rod at a position near a lowermost surface of the upper conical cover. A plurality of distance measuring laser sensors are provided on the swing cantilever. A component for driving an ultra-high-definition camera to rotate is provided on the support rod at the section of the upper conical cover. The images captured by the ultra-high-definition camera is used to obtain the leaf growth situation of the crops, and the data collected by the distance measuring laser sensors is used to determine the plant height of the crops.

Internet-of-things based crop growth monitoring device and method thereof

According to an irrigation method based on water usage characteristics and real-time weather condition during different crop growth stages, whether the crops are in a shortage of water in the growth is determined based on an actual soil water content, a water usage amount of the crops during the given growth stage, and a rainfall amount during the next day. If the shortage of water occurs, the actual water usage amount of the crops is calculated, and a water pump can be self-adaptively turned on to water the crops and an administrator is informed when the reservoir has an insufficient water storage, according to the relation between the water storage amount of the reservoir and the actual water usage amount.

Irrigation method and device based on water usage characteristics and real-time weather condition during different crop growth stages

Provided are a method and apparatus for software installation and a user terminal. The method includes: transmitting a software identifier of a target software to be installed to a server; acquiring software installation information corresponding to the software identifier returned by the server; analyzing the software installation information to acquire target software information and file information of a preparatory file for software installation from the software installation information; and installing the preparatory file for the software installation according to the file information and installing the target software according to the target software information after the preparatory file for the software installation is installed.

Method, device and user terminal for software installation

A method for establishing a monitoring model of a water content of a winter wheat canopy based on spectral parameters, includes the following steps: measuring a spectral reflectance and a water content of the winter wheat canopy; constructing the spectral parameters through the spectral reflectance; wherein, the spectral parameters comprise spectral transformation forms and 'trilateral' parameters; performing correlation analysis on the water content of the winter wheat canopy and the spectral transformation forms and the trilateral parameters, selecting comprehensive spectral parameters with a significant correlation for each growth stage, performing principal component analysis on the comprehensive spectral parameters, separately constructing a water content monitoring model for each growth stage, and combining the water content monitoring model for each growth stage into the monitoring model of the water content of the winter wheat canopy for the whole growth stage.

Method for establishing content monitoring model of canopy water of winter wheat based on spectral parameters

Disclosed are a method and a device for testing a defect based on an ultrasonic Lamb wave tomography. The method includes: partitioning an imaging area of a material to be tested into grids; exciting electromagnetic acoustic transducers for emitting to emit Lamb waves with a Amode in all directions, and electromagnetic acoustic transducers for receiving to receive the Lamb waves; obtaining a time-frequency analysis result and recording time-of-flights of testing waves; determining a first slowness of each grid to obtain a first defect area; establishing an extrapolation formula according to the first defect area, and iterating the extrapolation formula to trace and revise paths of the Lamb waves until a better imaging precision is obtained.

Method and device for testing defect based on ultrasonic lamb wave tomography

An inner detecting device for subsea oil and gas pipeline includes a support shaft defining a sealed chamber therein; a packer cup coupled to the support shaft; a hinge assembly coupled to the support shaft, swinging with respect to the support shaft in a radial direction and sliding with respect to the support shaft in an axial direction; a magnetic detector connected to the hinge assembly to move with respect to the support shaft in the radial and axial directions, and the magnetic detector tending to move away from the support shaft in the radial direction; a battery pack; an electric recorder electrically connected to the battery pack; and a mileage recorder recording a travel distance of the inner detecting device within the pipeline.

Inner detecting device for subsea oil and gas pipeline

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Beijing, China

Zheng Wei