45results about How to "Fine characterization" patented technology

The invention discloses an identification method and system for a complex basin edge super-stripped belt subtle trap boundary. The identification method includes the following steps that firstly, structural features of a plane of unconformity are analyzed and defined with data of earthquakes, well drilling, well measuring, well logging and the like as the basis; secondly, a geologic model is designed, forward modeling of earthquake responses is conducted, instantaneous phase earthquake attributes are extracted along the stratum, and a stratum super-stripped line for earthquake identification is depicted; thirdly, a geologic model capable of reflecting the super-stripped concept of the stratum is selected, earthquake forward modeling is conducted, and main factors affecting an error distance are defined; fourthly, an error distance formula under the stratum super-stripped condition is established; fifthly, the stratum subtle strap boundary is described according to the stratum super-stripped line and the error distance for the earthquake attribute identification. According to the identification method and system for the complex basin edge super-stripped belt subtle trap boundary, the position of the super-stripped line for earthquake identification can be accurately described, the subtle trap boundary is quantitatively identified based on an extrapolation formula built through multi-model forward modeling, an oil-gas accumulation boundary can be easily and accurately determined, and the oil exploration risk can be effectively lowered.

The invention discloses a curve fitting method for duration of multiple voltage sags, and a voltage sag severity assessment method. The curve fitting method comprises the steps: obtaining the change rule of the voltage value of a power grid with time in a unit time, and obtaining a voltage change time sequence curve; obtaining the number of voltage sags of the voltage in the unit time and the data of each voltage sag according to the voltage change time sequence curve, wherein the data of each voltage sag comprises the time period of the voltage sag and the voltage value corresponding to the voltage sag; taking a plurality of voltage values Vi between the maximum voltage value Vst and the minimum voltage value Vmin of each voltage sag; calculating the time duration values corresponding to the plurality of voltage values Vi; superposing the time duration of all voltage sags corresponding to the same voltage value Vi, so as to obtain the total time duration under the same voltage value Vi, and to carry out the fitting of the total time duration curve according to the total time duration corresponding to the plurality of voltage values Vi.

The invention relates to a power plant blower fault early warning method based on multivariate state estimation, and the method comprises the following steps: 1) constructing a historical data set according to the normal operation historical data of a power plant blower, and obtaining the operation data of the power plant blower in a to-be-predicted time period as an observation set; 2) performingnormalization processing on the historical data set and the observation set; 3) constructing the normalized historical data set into a memory matrix D through multivariate state estimation, and establishing an MSET model; and 4) inputting the observation vector Xobs at each moment in the observation set into the MSET model to obtain a corresponding estimation vector Xest, representing the deviation degree between the observation vector Xobs and the estimation vector Xest through a deviation degree function, and immediately giving an alarm when the deviation degree exceeds a fault early warning threshold, thereby realizing fault early warning of the power plant blower. The method has the advantages of high early warning precision, comprehensive consideration and the like.

The invention discloses a method and a system for representing organic micropores and mesopores of shale based on FIB-HIM, which relates to the field of three-dimensional structure imaging of shale. The method comprises the following steps: performing the three-dimensional imaging for a shale sample; processing the image; and performing the discrete representation for the pores of the shale sample. By adopting the method and the system for representing the organic micropores and mesopores of the shale based on the FIB-HIM, the defects in the prior art that the organic micropores and mesoporesof the shale cannot be accurately represented, and the evaluation for the oil and gas storage capacity of the shale, and the reserve state of oil and gas in the pores, the transport mechanism and capacity is limited can be overcome.

The invention discloses a ground depression simulation method and system based on a cellular automation. The method comprises the steps that ground space data, mining working face arrangement situations and mining geological data are acquired; spatial interpolation is conducted on the ground space data to form grid DEM region data with the preset resolution ratio; the grid DEM region data, the mining working face arrangement situations and the mining geological data are analyzed to determine a mining depression influencing area, and a cellular automaton model is established; the established cellular automation model is used for simulating the ground depression process. According to the ground depression simulation method and system based on the cellular automation, the depression process caused by mining explosion under a complex geological mining condition can be simulated, the mining influencing range, the depression active strength, the area and the like of mining subsidence can be dynamically simulated, and a ground depression result close to a true situation can be obtained. Accordingly, the accuracy of ground depression prediction of mining explosion under the complex geological mining condition can be improved to a large extent.

The embodiment of the invention discloses a social content risk identification method, device and facility. The scheme comprises that feature dimension extension is performed on features of social content data to be identified through processing of a machine learning model of a stump structure, and then the obtained dimension-extended features are inputted to the deep machine learning model for prediction so as to identity whether there is a risk or not in the social content data.

The invention provides a shale pore imaging method and a device, wherein the method comprises the steps: X-ray scanning is performed on a shale sample to obtain projection data of X-ray scanning; noise elimination correction processing is performed on the projection data; light intensity of X-ray and transport of intensity equation TIE are adopted to construct a phase interference model of the above projection data; discretization process is performed on the interference model based on a spatial domain, and a spatial domain discretization operator equation is obtained; the processed projection data serves as input data of the spatial domain discretization operator equation, and phase correction projection data is obtained; a filter back projection algorithm is utilized to process the above phase correction projection data, and an image of the shale sample is obtained. According to the invention, a method for solving the spatial domain is adopted, the interference of the phase information is reduced, resistance effect for noise is also presented, and meticulous expression can be performed on nanoscale pore throat and millimeter-scale and micron-scale pores of the shale sample.

The invention provides a pore imaging method and device based on spatial domain phase correction. According to the method, a spatial domain discretization operator equation is established for a constructed phase interference model to projection data and is solved by virtue of a Tikhonov Regularization method and an iteration method, and then an imaging result with relatively high resolution, result stability and fastconvergence speed is obtained, so that the purposes of increasing the pore imaging resolution of a sample and reducing the phase information interference and relative errors are achieved, and nano-scale pore throats and millimeter-micron-scale pore of the sample can be finely depicted.

The invention discloses a device for drawing a map, which resides in computing equipment. The computing equipment includes a display. The device includes a data receiving module, an entity constructing module, and a graph drawing module. The data receiving module is suitable for receiving one or more GIS data sources which are used to represent graphs in a map. The entity constructing module is suitable for constructing an entity corresponding to one or more graphs in the map according to the GIS data sources received, wherein the entity includes one or more content components which describe the graphs corresponding to the entity. The graph drawing module is suitable for loading the content components contained in the constructed entity, drawing the graphs described by the content components and presenting the graphs through the display of the computing equipment. The invention further discloses a corresponding method, a piece of computing equipment and a readable storage medium.

The present invention discloses an oil-gas microorganism gene exploration method. The method comprises the following steps: respectively collecting samples of surface shallow layers above a known oilwell, a gas well and a dry well in an exploration area, performing high-throughput sequencing after extracting DNA, establishing a microbial community composition pattern diagram in the exploration area according to a sequencing result, respectively screening out characteristic microorganisms in surface soil above the oil/gas well in the exploration area according to the pattern diagram, and designing primers according to attribute characteristics and carrying out a fluorescent quantitative PCR detection on the samples in the whole exploration area to detect the number of the characteristic microorganisms. A contour line of the characteristic microorganisms obtained by the oil-gas microorganism gene exploration method has a high coincidence rate with the known well, has a good coincidencerate with a trap line, and can carefully describe an oil area.

The invention provides an identity legality verification method and, an identity legality verification device and terminal equipment. The method is applied to the field of wireless network and behavior identification. The method comprises the following steps: acquiring a wireless signal reflected when a to-be-verified person to be verified passes through a preset detection area, and acquiring channel state information in the wireless signal; extracting an amplitude sequence of the channel state information, and performing principal component analysis on the amplitude sequence to obtain a principal component analysis sequence; determining whether the amplitude sequence contains personnel activity information or not according to the principal component analysis sequence, and if the channelstate information contains the personnel activity information, extracting human body activity fragments in the principal component analysis sequence; and extracting human body feature data in the human body activity segment, and performing identity legality verification of the to-be-verified person based on the human body feature data. According to the identity legality verification method and device and the terminal equipment provided by the invention, the identity legality verification precision and efficiency can be effectively improved.

The invention belongs to the field of earth science and technology, and particularly relates to a three-dimensional modeling method of hyperspectral information of deep rock and mineral. The method specifically includes the following steps: step one, hyperspectral measurement of a drilling core; step two, standardization of spectral data; step three, parameter calculation of a spectral measurementfunction; step five, importing of a three-dimensional geological modeling environment; step six, establishment of a three-dimensional geological grid model; step seven, construction of a three-dimensional variogram model; step eight, Kriging three-dimensional spatial interpolation; and step nine, three-dimensional visualization. The method uses the advantage of fine and quantifiable rock and mineral information identification of hyperspectral technology of the drilling core, simulates a development degree of the deep rock and mineral in a semi-quantitative manner through the spectral measurement function, the three-dimensional variogram and the Kriging three-dimensional spatial interpolation on the basis of hyperspectral data which is of the drilling core and is obtained by a hyperspectral meter, and has the advantages of high modeling efficiency, fine model characterization, quantification and the like.

The invention discloses a lap joint phase starting discrimination method based on full discharge time. The method comprises the following steps: calculating the flow direction single full discharge time of each traffic flow contained in the opposite direction of an intersection in each red light period; when the green light in each opposite direction of the intersection is about to be turned on, performing merging calculation on the single fullness time of each flow direction to obtain flow direction integrated fullness time, and obtaining a flow direction fullness level; according to the flow direction full discharge level, the full discharge level difference between the straight running flow directions and the left turning flow directions of opposite running is calculated; and judging whether the lap joint phase needs to be started or not according to the lap joint phase starting judgment rule and the full arrangement level difference between all the flow directions in the opposite direction in which the green light is about to be turned on. According to the method, the characteristic that the vehicles are discontinuously released to gather at the light-controlled intersection is fully considered, the traffic demand is accurately depicted according to the full discharge time, the lap joint phase is started in time, congestion caused by imbalance of traffic flows is rapidly eliminated, and the traffic control efficiency is effectively improved.

The invention relates to the technical field of mechanical equipment signal processing, in particular to a gray fault diagnosis method for a key rotating part of a vehicle driven by signal frequency domain characteristics. According to the characteristic that vibration signal frequency domain characteristics caused by different faults are different, frequency response of Q-switched wavelet transform is used for analyzing vehicle rotating part vibration signals or envelope signals of the vehicle rotating part vibration signals, and feature vectors with sub-band energy proportions of the signals in different frequency bands as elements are constructed; for the problem that the correlation degree is too large due to the fact that the change trends of the two sequences are different and the original cumulative difference is small when the gray proximity correlation degree processes the two groups of intersecting sequences, a gray absolute proximity correlation degree model is provided; and under the driving of the constructed frequency domain feature vector, the gray absolute proximity correlation degree of the frequency domain feature vector and a standard mode is calculated to identify the fault state of the key rotating part of the vehicle. Compared with other vehicle key rotating part fault diagnosis methods, the method has the advantages of theoretical support and efficient algorithm.

The invention relates to a bright spot hydrocarbon detection method based on matching pursuit and RGB color fusion. The method comprises the following steps: decomposing acquired seismic data containing hydrocarbon stratum into different wavelets of the frequency and amplitude information according to a local optimal matching principle through the matching pursuit algorithm; screening wavelets related to the hydrocarbon by combining processing interpretation experience and well data through a threshold or iterations control, overlaying the wavelets to acquire a bright spot prediction profile;solving the Wigner distribution of the screened wavelet, and linearly overlaying the Wigner distributions of the wavelets to obtain a time frequency distribution of the bright spot prediction profile;extracting data volumes of three different frequency bands from the time frequency spectrum of the bright spot prediction profile, and acquiring three frequency-division attribute data volumes of thebright spot prediction profile; and performing frequency-division attribute fusion on three frequency-division attribute data volumes by adopting a display way of RGB color fusion, and performing bright spot analysis and hydrocarbon-bearing detection. The influence on the reservoir interpretation by non-reservoir reflection can be avoided as much as possible, the bright spot identification precision can be improved, and the multiplicity of the bright spot hydrocarbon detection is reduced.