65results about How to "In-depth understanding" patented technology

The invention relates to a coupling simulation method of a flow and sediment process of a distributed watershed. The method comprises the steps of digital terrain processing, building of a contour strip, building of a contour strip erosion landform data file, data collecting and processing, watershed hydrological process computation, slope erosion and sediment transport process computation, flow and sediment process computation of a channel or a river or a reservoir, judgment, variable parameter transferring, model parameter calibration and model validation, and ending. According to the coupling simulation method, the contour strip is taken as a computing platform for the slope scale, and the real flow and sediment physical process of a slope is taken as a picture, so that the coupling simulation computing capability for rainfall-runoff and erosion-sediment processes of the contour strip slope is achieved; the computational accuracy is ensured on the premise of reducing the computing amount; and the flow and sediment process of the slope with any grid scale is effectively reduced and predicted. Compared with the prior art, the coupling simulation method has the advantages that the terrain adaptability and the scale adaptability are achieved by taking the contour strip as a basic computing unit; meanwhile, deeper recognition of the law of the flow and sediment process of the slope can be achieved on the basis of physical flow and sediment process simulation of the slope and a more complicated practical application is supported.

The invention relates to optical detection equipment, which can improve the accuracy and the effect of the defect detection of a substrate, and further improve the process yield and reduce the production cost by using a projective image formed by light rays with multiple visual angles and different wavelengths. The optical detection equipment comprises a light source, a reflective element and an image acquisition element, wherein the light source projects the light rays to an object to be detected; the reflective element is provided with at least two reflective surfaces for reflecting the light rays passing through the object to be detected; and the image acquisition element receives the reflected light rays to form the projective image.

The invention discloses a method and system for assessing relay protection dynamic characteristics of a high-voltage direct-current power transmission line. The method comprises the following steps: simulating computed result data; extracting basic electric quantity data related with direct-current line protection; extracting protection required characteristic quantity through a constructed characteristic quantity function module; forming a dynamic characteristic curve of the direct-current line protection characteristic quantity; computing computational boundary conditions for direct-current power transmission line protection; and carrying out direct-current line protection assessments to obtain assessment values, wherein the assessments include constant value assessment of direct-current line protection, global assessment of direct-current power transmission line protection, assessment of specific state protection performance and assessment of influence of related factors on protection performance. Due to the adoption of the method and system, the working efficiency and the accuracy of protection performance assessment and research can be greatly improved, and good practical benefits are achieved.

The invention discloses a method for classifying individual differences in psychological stress assessment. The method includes steps of 1, designing an effective experimental scheme for inducing psychological stress in laboratories and creating a stimulation material library for psychological stress materials; 2, acquiring psychological stress data of sEMGs (surface electromyographic signals); 3, preprocessing the raw data; 4, extracting and processing psychological stress characteristics of the sEMGs; 5, classifying psychological stress assessment by the aid of a classifier of an improved support vector machine. The method has the advantages that the psychological stress data are acquired via the simple and feasible experimental scheme, so that researchers can deeply understand psychological stress on the basis of careful analysis on mass data, and the method is beneficial to understanding emotional behavior of human; psychological stress assessment and research implemented by the method on the basis of the psychological signals have objective characteristics as compared with a self-assessment mode implemented by the aid of questionnaires and the like, accordingly, the method is wide in application range and favorable for psychological stress and health research.

The invention discloses a detection probe for DUOX2 gene mutation and a detection method thereof, particularly relates to a method for detecting DUOX2 gene mutation related to a congenital hypothyroidism (CH) pathogenic gene, and belongs to the technical field of molecular biology. A PCR primer sequence of a DUOX2 gene for detecting the CH is a nucleotide sequence as shown in SEQ ID No.1-SEQ ID No.18 in the sequence table. The detection probe has the advantages that the DUOX2 gene causing the CH is detected by utilizing new generation sequencing, and 24 new mutation sites which are not yet reported home or abroad are discovered. The detection probe applied to clinical gene mutation detection is beneficial to etiological analysis and diagnosis of CH, further recognition of mutation spectrum of the CH gene and further research on pathogenesis of CH.

The invention discloses an inverted pendulum remote experiment system, which comprises an inverted pendulum system, an experimental system server, a remote user computer, a network system and a video transmission system. The network system is used for connecting the remote user computer and the experimental system server. The experimental system server is connected with the inverted pendulum system, so as to perform simulation and control on software of the inverted pendulum system and return the simulation result and the video images of the inverted pendulum to the remote user computer. The remote user computer sends out a control command for controlling the inverted pendulum system through the experimental system server, and displays the software simulation result received from the experimental system server and video images of the real-time control state of the inverted pendulum. The video transmission system is connected with the experimental system server, so as to take video images of the inverted pendulum system during running on a real-time basis and transmit the taken video images to the remote user computer. The system breaks through the limitation of time and space of the traditional experiment, so as to make the best use of the limited resources in a laboratory.

The invention discloses a knowledge graph construction method and device, and the method comprises the steps: obtaining a first electric power corpus from electric power data; extracting a plurality of entities, a plurality of domain ontologies and a plurality of association relationships from the first electric power corpus by utilizing a pre-trained semantic analysis model, wherein the association relationships comprise one or more of an association relationship among the plurality of entities, an association relationship among the plurality of domain ontologies and an association relationship among the entities and the domain ontologies; for each proposed entity, obtaining a first knowledge graph of the entity according to the association relationship between the entity and other entities and the association relationship between the entity and each domain ontology; combining and splicing the first knowledge maps of the plurality of entities to obtain a second knowledge map; and forming a display path in the entity, the domain ontology and the association relationship in the second map, and displaying according to the display path based on the display of the second knowledge map.According to the invention, the user experience of employees can be improved.

The invention discloses genes capable of regulating and controlling nicotine content of a tobacco and application of the genes. A sequence of the genes capable of regulating and controlling the nicotine content of the tobacco is any one as shown in SEQ ID: No.1-21. The application of the genes is as follows: the genes capable of regulating and controlling the nicotine content of the tobacco are used for regulating synthesis and translocation amount of nicotine of the tobacco, so as to realize regulating and controlling of nicotine content in the tobacco. 21 genes obtained in the invention can form a stable hairpin structure, and analysis on the obtained tobacco non-coding small RNA sequence shows that part of small RNAs are from a sequence of a stem of the tobacco; and the small RNAs predict that target genes of the small RNAs are respectively targeted to a tobacco nicotine synthesis and transportation key protein coding gene. An miRNA regulating and controlling mechanism obtained in the invention can provide a deeper understanding for a role played by a key gene for a synthesis and translocation route of nicotine in tobacco, so that nicotine content character of the tobacco can be better improved.

The invention discloses an intelligent learning system and method. According to the intelligent learning system, wrong knowledge points corresponding to wrong questions occurring in learner evaluationare extracted through a wrong question extracting module, and serve as main test contents of consolidating and evaluating test questions again to perform re-evaluation; the learning of the next knowledge point is carried out until a learner grasps the knowledge points; and a learning task is matched in a targeted mode for a learning state of the learner in the whole learning process, so that thelearner can obtain a better learning effect. According to the intelligent learning method, different learning tasks are provided for learners in different learning stages, and appropriate learning tasks are matched for the learners again when the learners do not completely master the knowledge points; and in the re-learning process, the learning emphasis is focused on the knowledge points which are not mastered by the learners in the previous learning process, so that the learning of the knowledge points is consolidated.

The invention discloses a dynamic impedance based stability characteristic estimation method of a power system. The method comprises the following steps of 1, acquiring connection characteristic of a target network; 2, setting a disturbance mode, and figuring a dynamic equivalence impedance matrix of each moment according to a power flow equation; 3, obtaining dynamic characteristics of a source-network-charge node of the power system according to the dynamic equivalence impedance matrix; and 4, calculating a self-stabilization factor and a stabilization factor of the node according to different source-network-charge dynamic electric characteristics for analyzing the characteristic between the node and the whole network. By the method, the influence characteristic among nodes during the dynamic process can be quantitatively analyzed, and finally, the dynamic characteristic between each node and the whole network is obtained.

The invention discloses a method for arranging five LEDs with three basic colors. The arrangement has the following characteristics: each LED is evenly and regularly distributed at equal distances, and the entire display screen is composed of RGBGR square arrays as basic units, and its constituent elements Form a square, with one LED in the center, the order of orientation is R in the upper left, G in the upper right, B in the center of the square array, G in the lower left, R in the lower right, and five adjacent LEDs form a RGBGR square array , and take this as the basic unit, spread out and arrange evenly and regularly on the display screen, and at the same time, there is a B in the middle of any two adjacent RGBGR square matrices, and the distance between B and B is equidistant, so , and added a GRBRG square matrix. This arrangement method prominently solves the selection range of LED materials, satisfies the application of high, medium and low-end display screens in the existing display market, and flexibly adapts to the different needs of users for plug-in and chip light-emitting diodes. At the same time, it also The method of five-light arrangement can be used to improve the display effect of single-color, double-color and full-color according to different quality LED materials. Only the flexible changes in the matching of materials can meet the needs of the market.

The invention discloses an aerial monitoring and identification method and device for migrating insects. The method comprises the following steps: firstly, building an insect characteristic parameter database, and then building an insect species image database; on the basis of the databases, determining an insect type to be observed, and selecting a proper observation opportunity and a proper location; determining an observation height according to the insect type; adopting a captive balloon or an unmanned plane to fly to a migrating height, and shooting a video image at the height; monitoring high-altitude meteorological environmental data through a carried sensor; wirelessly transmitting the video image and the environmental data to the ground in real time, and further adjusting an observation position and an observation view angle at the software end; extracting target morphological characteristic parameters from the image through an image processing technology, and comparing the insect image database to identify a possibly existing migrating insect type; further processing an image of a time sequence, thus acquiring information such as an insect moving parameter and an insect swarm density. The method for monitoring the migrating insects also has actual value in the aspects of insect situation prewarning and prevention and reduction of natural disasters to crops.

The invention provides a dual-purpose gear generating instrument. The dual-purpose gear generating instrument comprises a frame, a rack cutter, a support plate, a circular disk, a nut cap, a fixed disk, a gear cutter, a positioning plate, a driven gear and a slide carriage, wherein the slide carriage is arranged in a slide carriage sliding groove of the frame; the positioning plate is fixed above the frame; the slide carriage is provided with two gear support bars; the driven gear is inserted into the gear support bar on the lower side of the slide carriage; the gear cutter is inserted into the gear support bar on the upper side of the slide carriage; the gear cutter comprises a main meshing gear and a sectorial cutter; the main meshing gear of the gear cutter is meshed with the driven gear; and the tooth part of the sectorial cutter of the gear cutter is pressed on the circular disk. According to the dual-purpose gear generating instrument, the structure of the conventional gear generating instrument is improved, and students can perform rack cutter machining gear simulation tests and gear cutter machining gear simulation tests, so that the students can deeply understand rack cutter machining gears and gear cutter machining gears.

The invention relates to a synchronous communication method and system applied to an insurance scheme, and the method comprises the steps that an agent communication end carries out the webpage synchronous data collection in response to the webpage operation of an insurance scheme webpage, generates first webpage synchronous data, and transmits the first webpage synchronous data to a client communication end; in response to a graffiti operation in the first Canvas, first graffiti synchronization data is collected and generated according to the graffiti operation, and the first graffiti synchronization data is sent to the client communication terminal; and audios and videos are collected and transmitted to the client communication terminal. The client communication terminal receives and analyzes the first webpage synchronization data, executes a webpage operation instruction contained in the first webpage synchronization data, and correspondingly updates webpage content based on webpagecontent data contained in the first webpage synchronization data; receives and analyzes the first graffiti synchronization data, obtains a picture or drawing instruction contained in the first graffiti synchronization data, and draws on a second Canvas; and receives and plays the audio and video data stream. The face-to-face communication scene of offline insurance service development is simulated online, and a novel exhibition mode is provided.

The invention provides a power transformer test skill training intelligent simulation system, which comprises a simulated transformer model, an upper computer, an upper computer wireless communicationmodule and a test instrument, wherein the simulated transformer model comprises a transformer casing, a power module, an MCU module, a failover module, a detection wiring module, an audio output module and a lower computer wireless communication module, wherein the power module, the MCU module, the failover module, the wiring detection module, the audio output module and the lower computer wireless communication module are all arranged in the transformer casing, and the test instrument is a direct current bridge, a megohmmeter, a withstand voltage tester, a transformation ratio bridge, or a capacity tester.

The invention discloses a weakly supervised convolutional neural network image target positioning method, which comprises the following steps of: establishing a convolutional neural network classification model with a batch normalization layer, training the convolutional neural network classification model, and storing the trained convolutional neural network classification model; s2, inputting ato-be-positioned image into the convolutional neural network classification model trained in the step S1, and obtaining a feature map output by the deep convolutional layer; performing weighted fusionon the obtained feature map to obtain a saliency map; converting the obtained saliency map into a thermodynamic diagram, and superposing the thermodynamic diagram on the input image to generate a composite image; and storing or visualizing the obtained composite image to obtain a target positioning image. According to the weak supervision convolutional neural network image target positioning method using the batch normalization scaling factor as the corresponding feature map weight, the problems that in the prior art, implementation is complex, category confidence scores, gradients and otherinformation are needed, a convolutional neural network model is not transparent, and the working function is poor are solved.

The invention discloses a winch gate experimental device which mainly solves the problems that learning is difficult and the learning progress is influenced under the condition of the prior art. The device comprises a base, a left rack, a right rack, a fixed winch type opening and closing unit, a bulkhead gate and an electrical control system, wherein the left rack and the right rack are arrangedon the base; the fixed winch type opening and closing unit is arranged on the left rack and the right rack; the bulkhead gate is connected with the opening and closing unit; the electrical control system is used for sending a control signal to fixed winch type opening and closing unit; through the above design, new employees can understand the learning content more deeply, specifically and clearly, and meanwhile, the model display can also improve the imagination space ability of the new employees. The experimental device can be disassembled and assembled autonomously, gate actions and gate faults can be simulated, learners can participate in fault prevention, discovery, elimination and solution physically and mentally, and the device is convenient to use. Therefore, the experimental device has very high use value and popularization value.

The invention belongs to the technical field of petroleum scientific research. Aiming at the current situation that the quantitative analysis of the saturation distribution of fluid in rock does not reach a pore scale, the invention provides a quantitative analysis device and method for the saturation spatial distribution of fluid in rock. The method comprises the following steps of: injecting liquid in the overburden pressure state (no liquid exists), performing three-dimensional imaging on a rock core to obtain D1 and D2,and performing three-dimensional registration on the D1 and D2; obtaining D3 matched with D1 through the sampling of the D2; determining a threshold T1 based on overburden pressure porosity, and converting the D1 into a gap-matrix binary matrix; determining a threshold T2 based on the total fluid saturation, and modifying the value of the corresponding pixel in the D1 according to the gray scale of the gap pixel in the D3; extracting a pore network based on the gap pixel of the D1 to obtain pores, pore throats and corresponding pixel lists; counting the number of pixels occupied by two fluids in the pores and the pore throats and the total number of pixels to obtain pore fluid saturation; and counting the number, spatial distribution and shape factor relationship of the pores under different fluid saturations. According to the method, the spatial distributionof the fluid saturation of the pore size in a rock core can be obtained nondestructively and quantitatively.