Shandong University

Chinese Academy of Sciences

Shandong Hi-Speed Group Co., Ltd.

Peng Jiang

Bin Liu

Zhengfang Wang

Xinji Xu

Qingmei Sui

Yuxiao Ren

Hanchi Liu

Qingyang Wang

Senlin Yang

Shucai Li

Jing Wang

Lei Chen

Chuanyi Ma

Kai Wang

Fengkai Zhang

Duo Li

Song Qin

Qifeng Wang

Zhiwu Zuo

Daozhan Yu

Shuai Cao

Xianglong Meng

Fuchao Li

Kefu Chen

Yanfei Yu

Guoqiong Sun

Wei Guo

Wenqiang Kang

Jiaqi Zhang

A method for three-dimensional velocity geological modeling with structures and velocities randomly arranged, including determining base points in three-dimensional space, building equation according to the base points to determine planar layered model, complicating a tilt layer of planar layered model, and building a fold layer model of a surface in three-dimensional space; building three-dimensional fault folded model based on the three-dimensional surface fold layer model combined with a fault plane of a random reference point and displacement of each point in a global coordinate system; building a velocity model containing a salt body based on the three-dimensional fault folded model, and simulating salt body intrusion in a geological body of a certain depth; and performing a random velocity amplitude to realize three-dimensional velocity modeling according to the layered type which has been set and according to the set velocity range and the velocity difference range between each layer of geology.

Method for three-dimensional velocity geological modeling with structures and velocities randomly arranged

A surface disease repair system and method for an infrastructure based on climbing robots are provided. The system includes a detection and marking climbing robot and a repair climbing robot. In the process of moving on a surface of an infrastructure to be detected, the detection and marking climbing robot collects a front surface image in real time through a binocular camera arranged at a front end, detects a disease on the basis of the front surface image, and performs localization and map reconstruction at the same time; when a disease is detected, the position of the disease is recorded, and a marking device is controlled to mark the disease; after detection and marking are completed, the position of the disease and the map are sent to the repair climbing robot; and the repair climbing robot receives the map and the position of the disease, reaches the position of the disease, and repairs the disease according to the mark by using a repair device.

Primary-secondary type disease detection and repair system and method for infrastructure

A multi-arm robot used for tunnel lining inspection and defect diagnosis in an operation period, including a moving platform, where an environment detection device and a defect infection device are disposed on the moving platform, the defect infection device is disposed on the moving platform by using a multi-degree-of-freedom mechanical arm, and an attitude detection module is disposed on each multi-degree-of-freedom mechanical arm; a controller receives environmental data and mechanical arm attitude data sensed by the environment detection device and the attitude detection module, and sends a control instruction to the moving platform and the multi-degree-of-freedom mechanical arm according to the environmental data, to implement movement of the robot; and the controller receives tunnel lining structural data sensed by the defect infection device, and performs defect diagnosis. Overall automatic inspection can be implemented both on the surface and inside of the tunnel lining.

Multi-arm robot used for tunnel lining inspection and defect diagnosis in operation period

A multi-scale inspection and intelligent diagnosis system and method for tunnel structural defects includes: a traveling section; a supporting section, disposed on the traveling section, and including a rotatable telescopic platform, where two mechanical arms working in parallel are disposed on the rotatable telescopic platform; an inspection section, mounted on the supporting section, and configured to perform multi-scale inspection on surface defects and internal defects in different depth ranges of a same position of a tunnel structure, and transmit inspected defect information to a control section; and the control section, configured to: construct a deep neural network-based defect diagnosis model; construct a data set by using historical surface defect and internal defect information, and train the deep neural network-based defect diagnosis model; and receive multi-scale inspection information in real time, and automatically recognize types, positions, contours, and dielectric attributes of the internal and surface defects.

Multi-scale inspection and intelligent diagnosis system and method for tunnel structural defects

A multi-scale unsupervised seismic velocity inversion method based on an autoencoder for observation data. Large-scale information is extracted by the autoencoder, which is used for guiding an inversion network to complete the recovery of different-scale features in a velocity model, thereby reducing the non-linearity degree of inversion. A trained encoder part is embedded into the network to complete the extraction of seismic observation data information at the front end, so it can better analyze the information contained in seismic data, the mapping relationship between the data and velocity model is established better, then the inversion method is unsupervised, and location codes are added to the observation data to assist the network in perceiving the layout form of an observation system, which facilitates practical engineering application. Thus a relatively accurate inversion result of the seismic velocity model when no real geological model serves as a network training label can be achieved.

Multi-scale unsupervised seismic velocity inversion method based on autoencoder for observation data

This invention relates to marine algae, and more particularly, to a method for producing improved seaweed strains by genetic engineering. The vector for transformation were constructed by inserting the high-plant or algae-derived promoters upstream of foreign reporter genes or such cassettes that functional genes are fused with antibiotics or herbicide-resistant genes. The genetic seaweed was generated by natural development process by recombinated plasmid DNA introduction to seaweed spore with Biolostics as transformation methods. Introduced traits of antibiotics or herbicide-resistance were used to select the transgenic seaweed individuals when foreign functional genes are transformed. Stable transformation could be obtained following this invention.

Transformation of seaweed utilizing biolistic gene transfer to spores

Growing community of inventors

Shandong, China

Peng Jiang