China University of Geosciences (Wuhan)

A method for quickly measuring a rock joint of a rock mass based on huge point cloud data includes performing computation by introducing parallel computing to obtain a point curvature matrix and a point normal vector matrix corresponding to a vectorized point cloud coordinate data matrix; sequentially performing global parameter vectorization, normalization, and data screening on the vectorized point cloud coordinate data matrix, the point curvature matrix and the point normal vector matrix to obtain a training point cloud dataset; training an intelligent rock joint identification model through the training point cloud dataset to obtain a well-trained intelligent rock joint identification model; performing rock joint identification on a to-be-measured point cloud dataset through the well-trained intelligent rock joint identification model to obtain a plurality of rock joint sets; and computing an occurrence of each single rock joint in each of the rock joint sets.

A method for aligning a laser point cloud and an image based on deep learning includes: collecting data by using a laser ladar and a camera, to obtain laser point cloud data and a two-dimensional (2D) image respectively; dividing preprocessed point cloud data into triangular meshes to obtain a three-dimensional (3D) mesh model of the point cloud data; determining a relative location relationship between a laser radar and the multi-function camera, and constructing a virtual camera in the 3D mesh model to capture a simulated 2D image at a same location and angle as those of the camera; and aligning, by using a convolution neural network (CNN), the 2D image captured by the camera and the simulated 2D image captured by the virtual camera to generate aligned images that map onto each other.

A method for tracking a four-dimensional soil moisture drought event and identifying a warming signal, includes following steps: data acquisition; identification of four-dimensional soil moisture drought events; characteristic quantification of four-dimensional soil moisture drought events; anthropogenic warming signal detection based on temporal evolution of four-dimensional soil moisture drought characteristics in a historical period; estimation of future evolution of four-dimensional soil moisture drought; and attribution of four-dimensional soil moisture drought events to driving factors. The future spatial-temporal evolution characteristics of four-dimensional soil moisture drought are explored, and the driving factors and physical mechanisms of four-dimensional soil moisture drought are analyzed. A strong scientific basis is provided for tackling global climate change, safeguarding water resource security, and formulating disaster prevention and mitigation strategies.

An apparatus for monitoring three-dimensional strain in landslide slip zone includes a strain sensor, a data control module, and a magnetic positioning device. The strain sensor includes a protective shell, a slidable rotating cover, a fiber Bragg grating (FBG) sensor, and a telescopic rod. The telescopic rod is configured to push the FBG sensor into contact with a stratum to monitor strain information of soil and rock mass in the slip zone. The data control module is electrically connected to a switch of the slidable rotating cover via data cable and is configured to preprocess data collected by the FBG sensor. The magnetic positioning device is configured to correct displacement detection orientation errors of the FBG sensor caused by landslide deformation.

In a logging identification method for a small fault based on stress anisotropy and crustal stress types, a magnitude and direction of a current crustal stress are determined by means of logging calculation of the crustal stress, and a transformation location of a crustal stress type is determined; a development location of the small fault is determined according to the transformation location of the crustal stress type; and an included angle between the current crustal stress and the fault is determined according to an amplitude of variation of stress anisotropy. The present disclosure provides the logging identification method for a small fault based on stress anisotropy and crustal stress types. According to the method, prediction cost is low, operability is high, and a prediction result has a reference value for guiding exploration and development of a complex oil and gas reservoir and construction of a gas storage.

A sealing structure for a compressed air energy storage device includes: a lining body; a sealing assembly including a supporting frame and a plurality of sealing plates, where the supporting frame is detachably connected to the lining body, and the plurality of sealing plates are disposed on an inner wall of the lining body through the supporting frame, and configured to seal an interior of the lining body; and a monitoring assembly including a plurality of monitoring members, where the plurality of monitoring members are disposed on the inner wall of the lining body, and configured to monitor sealing states of the sealing plates; and the sealing plate is made of a rubber material. The present disclosure solves the problem that in case of an airtight failure of the air storage chamber, the failed position cannot be detected and the failed component cannot be replaced quickly.

A shale gas well type classification method includes: S1, acquiring raw data of evaluation parameters for stable production wells and trial production wells; S2, performing standardization on the raw data; S3, calculating distance coefficients; S4, classifying the stable production wells; S5, after determining a class number of the stable production wells, calculating comprehensive evaluation parameters S of the stable production wells based on standardized data; S6, for each class of the stable production wells, calculating average values of standardized data of the evaluation parameters for the stable production wells to construct a standard fuzzy set A, and constructing a to-be-identified fuzzy set B for each of the trial production wells, S7, calculating a closeness degree between each to-be-identified fuzzy set and each standard fuzzy set, and classifying a trial production well corresponding to the to-be-identified fuzzy set into a class of the stable production wells with a highest closeness degree.

A method for determining a migration path of an ore-forming hydrothermal fluid based on rutile includes: collecting metallogenic porphyry samples from a survey region, and acquiring sampling point data of each sample; treating each metallogenic porphyry sample, and determining characteristic data of rutile in each metallogenic porphyry sample; according to a zirconium content of rutile, calculating a metallogenic temperature value of each metallogenic porphyry sample; testing an average titanium isotope value of each metallogenic porphyry sample; and determining the migration path of the ore-forming hydrothermal fluid according to sampling point coordinate data, temperature values, and titanium isotope values. A migration path of an ore-forming hydrothermal fluid is determined according to a temperature value determined based on a zirconium content of rutile and a titanium isotope value, which allows the accurate prediction of migration paths of ore-forming hydrothermal fluids for all porphyry copper deposits.

The present disclosure relates to the technical field of hemostatic materials, and particularly relates to a kaolin-based hemostatic material with an anti-inflammatory function and a preparation method and use thereof. The kaolin-based hemostatic material with the anti-inflammatory function in the present disclosure includes CeO 2 nanoparticle-loaded kaolin. The preparation method includes: mixing kaolin, cerium chloride, sodium carbonate, and sodium chloride in a mass ratio, and ball-milling to produce a precursor; and roasting the precursor to produce the kaolin-based hemostatic material with the anti-inflammatory function. In the present disclosure, with low-cost and abundantly-available kaolinite and the conventional CeO 2 as raw materials, a CeO 2 -loaded kaolin-based nanomaterial is prepared through mechanochemical synthesis. The prepared CeO 2 /K nanomaterial has synergistic anti-inflammatory and hemostatic activities.

A monitoring system includes a reference station, a mobile station, a plurality of integrated sensing units, and a server. The reference station is configured to provide fixed reference coordinates to the server. The mobile station transmits multi-frequency electromagnetic wave signals to the integrated sensing units. Based on water depth and position information detected by sensors of the integrated sensing units in combination with information of electromagnetic wave signals as well as a propagation distance and time, displacement information of the integrated sensing units can be obtained. The data is transmitted to the mobile station, which further transmits the data to the server, to accomplish monitoring for the reservoir landslide water-level-fluctuation zone. Automated monitoring is achieved and the monitoring cycle covers the entire deformation and evolution phases of landslides.