2271 results about "Distribution diagram" patented technology

The invention provides a global path planning method of a moving robot under a dynamic and complicated environment. The method includes the steps of building a global environment map according to an actual environment, building a dynamic barrier environment, obtaining a grid map by means of a grid method, converting a barrier distribution map obtained in the grid method into an empowered adjacent matrix of the map, carrying out global path planning on the environment by means of an ant colony algorithm, processing trap problems in the environment in a regressing method, judging whether a current position of a path is a target point, repeating the preceding steps if the answer is negative, and ending if the current position is the designated target point. The method is simple and easy to achieve, and the path planning effect is good.

The invention discloses a forest fire detection, prevention and control method based on an unmanned aerial vehicle. According to the forest fire detection, prevention and control method, the mode that visible-light images and thermal infrared images are combined is adopted, a forest fire can be judged by observing thermal image difference values of high-brightness points of the images, and fire extinguishing bags are released so as to extinguish fire head points in time or control fire behaviors primarily; accurate analysis is further conducted through a receiving station on the ground, abnormal areas missed during rough judgment conducted by the unmanned aerial vehicle can be found in time, and particularly monitoring can be achieved more effectively by forming a percentage distribution diagram of fire behavior possibility coefficients; efficiency and accuracy are high.

According to the present invention, techniques including a method and apparatus for classifying and displaying images are provided. In an embodiment of the present invention a defect image classification method using inspected objects is provided. The method includes defect images obtained from at least one inspected object. Next a set of defect images is classified into a specified category, which has a feature. The defect images are arranged for display according to the feature and then displayed. The arranging of the defect images may also be based on an evaluation value for each defect image. Another embodiment provides a defect image classification method using inspected objects. Defect images are obtained from at least one inspected object. Next the defect images are classified into a plurality of categories and at least two information items for example, a defect distribution diagram showing locations of defects in the inspected object, information associated with a category of the plurality of categories, and a defect size distribution, are displayed.

The invention discloses an indoor positioning method and system and a positioning platform, and relates to the technical field of positioning of the mobile Internet. The method includes: obtaining prior probability of wireless signal strength detected at reference points according to the wireless signal strength of a positioned terminal and a signal strength probability distribution diagram of the reference points; obtaining posterior probability according to the prior probability and based on a Bayesian decision; and multiplying the posterior probability with a matrix of transition probability of the reference points, and outputting the reference point with the maximal transition probability as a positioning result of the positioned terminal. The method, system and platform build the indoor wireless signal strength probability distribution diagram through a transfer HMM model to realize a universal method for accurate positioning, and by combination of a wireless signal strength acquisition and preprocessing mechanism and a probability distribution matching method based on the transfer HMM model, an indoor accurate positioning service with good experience can be provided to a user.

The invention provides an electronic device for estimating passenger flow which well covers main traffic nodes of a city and collects the large sample data of passenger flow, and an application method of the electronic device at a bus stop. The electronic device comprises a video acquisition module, a sensor acquisition module, a WIFI detection module, an embedded core processor, a storage module, a 3G / 4G transport module and a general extension module. The video acquisition module, the sensor acquisition module, the WIFI detection module, the storage module, the 3G / 4G transport module and the general extension module are all connected to the embedded core processor. The application method has following steps: first, performing statistics and screening based on the information recorded by the intelligent device; estimating the information of passenger flow of a single bus stop; then collecting the information of passenger flow of the whole bus stops of a city; establishing a dynamic distribution diagram and a prediction model of the passenger flow; and outputting optimized bus lines and departure times based on the model.

The invention provides an ultrasonic guided wave detection device for quality evaluation of a composite laminated plate. In the device, ultrasonic guided wave is taken as a detection means for accurately and conveniently evaluating quality of the composite laminated plate. The detection means is achieved by the following steps: (a) performing time-frequency analysis on guided wave signals of the composite laminated plate, comparing a time-frequency distribution diagram of the signals with a theoretical time-frequency distribution curve of the guided wave, and providing a mode separation method; (b) obtaining accurate time delay information in a time-frequency domain based on good characteristics of a Gabor wavelet, combining optimal sensor placement and multi-path positioning, broadening the range of defect positioning, introducing cluster analysis and then improving accuracy and reliability of two-dimensional positioning; and (c) improving rationality and accuracy for extracting signal characteristics, and effectively separating various mode components from ultrasonic guided wave signals by adopting an improved HTT method, and taking instantaneous components as a characteristic parameter according to linear regression analysis; and (d) constructing a detection device of the ultrasonic guided wave signals, improving detection steps, designing software architecture and programming for processing the guided wave signals based on the time-frequency analysis.

The invention discloses a personalized recommendation method based on group user behavior analysis, which belongs to the technical field of computer network application and provides a personalized recommendation method based on group user interest change, wherein a recommendation list with higher accuracy is obtained rapidly and effectively by collecting temporary dynamic interest degree of a large number of users to a commodity; in addition, the effect of time factor to a user's interest degree is analyzed quantitatively; by combining the time from contacting goods to buy goods by public users and the distribution diagram of the number of users who buy the goods at different time sections, so the accuracy of recommendation is improved; and after fully analyzing the datum of users' behaviors and summarizing the interest of users, the interest correlation between the goods and users is calculated.

The embodiment of the invention provides a blowhole structural characterization method and a blowhole structural characterization device. The method comprises collecting a rock sample and preparing a rock core; scanning and digitally imaging the rock core, recognizing an image to extract a hole of the rock core; calculating the aspect ratio of each hole of the rock core; setting an aspect ratio threshold for a needle hole, classifying the hole with the calculated aspect ratio less than the threshold into the needle hole and classifying the hole with the calculated aspect ratio not less than the threshold into a non-needle hole; respectively calculating the geometrical characteristic parameters of the needle hole and the non-needle hole; comparing and approximately simplifying the geometrical characteristic parameter of the non-needle hole and the geometrical characteristic parameter of the regular-shape needle hole, so as to form an equivalent hole distribution diagram. With adoption of the method, a simplified, visual and digital equivalent blowhole structure distribution diagram can be established.

The invention relates to a visualization system for atmospheric environmental monitoring. The visualization system for the atmospheric environmental monitoring comprises a plurality of monitoring stations, a data processing center and a plurality of display terminals. Each monitoring station comprises a sensing unit and a data transmission unit. Each sensing unit comprises various gas sensors, suspended particle sensors and the like, collects pollution concentration data, and sends the pollution concentration data to a data processing center through the corresponding data transmission unit in a wired or wireless mode. Visual software is operated in a main node of a data processing unit, reads the real-time monitoring data, the history monitoring data and the geographic information data stored in the data processing unit, calculates geographic grid data and atmospheric pollution concentration grid data, carries out render, draws a three-dimensional terrain and atmospheric pollution concentration distribution diagram, and displays the three-dimensional terrain and atmospheric pollution concentration distribution diagram through the display terminals. The visualization system for the atmospheric environmental monitoring is suitable for visualization broadcast application of atmospheric environment, suitable for providing decision reference for emergency commands in gas leakage accidents, and also suitable for providing atmospheric environmental information reference for daily life anytime and anywhere.

The invention discloses a crowd counting method and system based on a cGAN network. The crowd counting method comprises the steps of generating a crowd density distribution diagram by using an accumulated Gaussian kernel function matrix; extracting semantic attribute information of an input picture by using a generator coding network, and generating a crowd density distribution diagram sample by using a generator decoding network; discriminating whether a density map is generated by a generator or belongs to a real sample by using a discriminator; alternately training the generator and the discriminator; inputting a scene picture by using the trained generator to obtain a corresponding scene picture density map; and representing the total number of people in the picture by using accumulation of pixel values of the scene picture. The crowd counting method adopts a generative model, requires less data, and is higher in training speed and more suitable for actual application requirements; and meanwhile, the crowd counting method adopts a deeper neural network, thereby being capable of better eliminating background interference, generating the high-quality crowd density distribution map and playing a better decision-making support role for further crowd analysis and video surveillance.

The invention discloses a downscaling compensation technique for satellite precipitation data. Firstly, based on a mixed geographically weighted regression method, a mixed geographically weighted regression between low resolution satellite precipitation data and multiple high resolution variables is constructed. Secondly, based on the mixed geographically weighted regression and multiple high resolution variables, the downscaling precipitation data with high resolution is calculated. Thirdly, regarding the downscaling precipitation data with high resolution as an ambient field, a difference value distribution diagram with high resolution is acquired by calculating. Lastly, according to the difference value distribution diagram, the downscaling precipitation data with high resolution is calculated and the satellite downscaling precipitation compensation data is acquired. The downscaling compensation technique for satellite precipitation data is capable of obtaining high-precision satellite precipitation data with high resolution and being applied to the calculation of meteorological drought index and a driving hydrological model and providing high-precision input data for the hydrological model.

The invention provides a method for calculating thunderbolt density, which is used for calculating the thunderbolt density in a studying area and drawing a corresponding thunderbolt density distribution graph. The method comprises the following steps: firstly, extracting parameters related to thunderbolt information from original data, and removing error data in the original data; secondly, setting size of grids of the thunderbolt density distribution graph, dividing the studying area according to the size of the grids, and relating the grids to the area corresponding to the grids; thirdly, calculating the thunderbolt frequency of the area corresponding to each grid in a certain period of time; fourthly, calculating the thunderbolt density of the area corresponding to each grid; fifthly, performing data processing, wherein classification and partition are carried out according to the strength of the thunderbolt density, and a boundary value is rounded; and finally, drawing the thunderbolt density distribution graph according to the result of the data processing. The method for calculating the thunderbolt density can obtain the thunderbolt density distribution of the studying area by processing the data of a thunderbolt positioning system so as to guide the thunderbolt prevention in the area.

The invention discloses a well pattern rebuilding method and device for the water-injection development of an old oil field. The method comprises the steps that various factors for influencing well pattern arrangement are taken into account, and mesh parameter data in geologic modeling and numerical reservoir simulation computed results are stacked and computed to obtain parameter distribution of series of strata; the mesh comprehensive evaluation index of the series of strata is computed, and a comprehensive evaluation index distribution diagram of the series of strata is obtained; well patterns are arranged on the comprehensive evaluation index distribution diagram of the series of strata according to different well pattern types, well positions are adjusted according to the characteristics of the comprehensive evaluation index distribution diagram, and initial well pattern arrangement schemes are obtained; for each initial well pattern arrangement scheme, old wells are searched for around the signal wells, and whether the oil wells are utilized is determined according to well conditions and an injection-production relationship; each well pattern arrangement scheme formed finally is evaluated, and the relatively-optimal well pattern arrangement scheme is selected according to the well pattern control degree and a recovery efficiency index. The well pattern rebuilding method and device for the water-injection development of the old oil field can meet the well pattern arrangement requirements of old oil fields in the secondary development process.

The invention discloses a method for experimentally determining carbonate rock oil and gas reservoir acid fracturing fracture conductivity distribution. The method comprises the steps that an acid fracturing simulator FracproPT is adopted for simulating the down-hole acid fracturing fracture extending and acid etching process during acid fracturing, and fracture width distribution, fracture height distribution, temperature distribution and acid liquor mass concentration distribution data in the hydraulic fracture length direction are obtained; in the hydraulic fracture length direction, fracture width, fracture height and temperature data of total 10 feature points with the acid liquor mass concentration being 100%, 90%, 80%, 70%, 60%, 50%, 40%, 30%, 20%, 10% of the initial mass concentration are selected; acid injection displacement of the oil field site scale is converted into acid injection displacement of the laboratory scale; according to the acid liquor mass concentration data of the 10 feature points, acid liquor used for an experiment is prepared; and the acid etching process is simulated, the conductivity under the condition of reservoir closed pressure is tested experimentally, and a distribution diagram of the acid etching fracture conductivity in the fracture length direction under the reservoir condition is drawn. The method is reliable in principle and simple and convenient to operate and has wide market prospects.

The invention belongs to the technical field of special vehicles and particularly relates to an unmanned sprinkling truck and a sprinkling method. The unmanned sprinkling truck comprises a sprinkling truck body and an unmanned driving system installed in the sprinkling truck body. The sprinkling truck body comprises a sprinkling truck driving system and an automatic sprinkling device. The unmanned driving system comprises multiple sensing and positioning systems and a control system. The input end of the control system is connected with the sensing and positioning systems, and the output end of the control system is connected with the automatic sprinkling device. The sensing and positioning systems are arranged on the unmanned sprinkling truck body. The unmanned driving system is added on an existing, the unmanned sprinkling truck runs along a predetermined route and performs sprinkling according to a predetermined procedure, a driver is liberated from repeated and dull driving, the sufficient sensing and positioning systems are utilized to form a sprinkling demand distribution diagram of a whole block or a whole city and further dynamically plan sprinkling routes and sprinkling amounts of multiple unmanned sprinkling trucks.

The invention discloses a data center energy saving system and a method. The system comprises a plurality of intelligent power distribution cabinets, a plurality of air conditioners, a plurality of ventilation floors and a plurality of cabinets, the intelligent power distribution cabinets, the air conditioners, the ventilation floors and the cabinets are arranged in a data center, a plurality of servers are arranged in the cabinets, corresponding collecting devices are arranged in the data center and used for collecting corresponding data and uploading the collected data to a background, the background firstly establishes a three-dimensional model, a load power utilization and energy efficiency model, a line loss measurement model and a power quality measurement model of the data center according to the collected data, then the background draws a humiture cloud picture through modeling analysis and simulates a cool air flow distribution picture of the whole data center through a computational fluid dynamics (CFD) technology, and finally existing energy efficiency optimization scheme libraries in the background are integrated to determine an energy saving scheme. On the premise that stable and efficient operating of the data center is guaranteed, energy saving is achieved, and simultaneously, after energy saving measures are taken, energy-saving effects of the whole data centerand whole operating conditions of the data center are real-timely estimated to achieve the optimum.

The invention discloses a DIXON water-fat separation method in magnetic resonance imaging. The method comprises the following steps: a) in the magnetic resonance scanning process, three different echo signals including the first echo signal S1, the second echo signal S2 and the third echo signal S3 are acquired, wherein the water-fat signal procession phase difference of the first echo signal S1 and the third echo signal S3 is 2npi, and n is a natural number; b) the acquired k space signals are converted into image signals through Fourier transform; c) effective image signal pixels are extracted in a image domain, the phase diagram of the effective image signal pixel composite signal is extracted, and phase unwrapping is performed on the phase diagram to obtain a static magnetic field distribution diagram delta B0; d) and the water image and the fat image in the echo signals are separated by utilizing the static magnetic field distribution diagram delta B0. According to the DIXON water-fat separation method provided in the invention, the echo time can be set flexibly according to a magnetic resonance imaging sequence and application requirements, so not only data can be processed by applying the conventional DIXON algorithm, and but also the limitation on imaging sequence parameter setting can be reduced at the same time.

The invention discloses a distribution network communication optical cable fault location method and device and belongs to the technical field of electric power telecommunication. The distribution network communication optical cable fault location method includes building a geographic space model of distribution network communication optical cables; displaying a route distribution diagram of the distribution network communication optical cables on a Geographic Information System (GIS) map according to the geographic space model; after acquiring optical cable fault information, calculating the geographical location information of fault points of the optical cables according to the route distribution diagram and a preset fault point location algorithm; marking the fault points of the optical cables on the GIS map according to the geographical location information. By adopting the distribution network communication optical cable fault location method and device, the ground position of the fault points of the distribution network communication optical cables can be visually and quickly located, thus the staff can be guided to fast carry out dispatching repair, maintenance cost of the distribution network communication optical cables can be effectively reduced, and satisfaction of ultimate users can be improved.

The invention relates to a risk-constrained oil and gas resource spatial distribution forecasting method which comprises the following steps of: (1) integrating seismic information and geologic information; (2) forecasting the exploration risk probability of a entire region; (3) establishing a resource abundance diagram of the discovered oil and gas accumulation; (4) establishing a resource abundance amplitude diagram and a resource abundance phase diagram; (5) establishing a modified resource abundance amplitude diagram; (6) establishing a risk probability amplitude diagram and a risk probability phase diagram; (7) establishing a forecast oil and gas resource abundance distribution diagram of the entire region; and (8) calculating the resource quantities of different risk regions: excluding the oil and gas accumulation with low abundance; excluding grid data points with high exploration risk; and verifying and modifying according to the data of the explored wells. The method can forecast the resource quantities in different risk regions and the spatial distribution positions of the remained oil and gas resources. A forecasting model and the method have strong operability. The invention can enhance the drilling decision level and the oil and gas exploration efficiency.

A communication-quality monitoring system includes a receiving unit for receiving packets to detect packets of a traffic, a frequency-distribution calculator for calculating frequency distribution of the arrival times of the received packets, and a degradation detection unit for detecting degradation of communication quality in the network by comparing statistic parameters of the peak in the frequency distribution against thresholds of the parameters. The parameters include a dispersion, standard deviation, half-power breadth and peak power of the peak in the distribution diagram.

A method for analyzing chlorophyll distribution on surface of leaves of a plant by hyperspectral image and independent component relates to a prediction method of chlorophyll distribution on surface of leaves of a plant. The method is implemented by the following steps: processing of hyperspectral image, analyzing and selecting of independent component, and calculating of chlorophyll distribution on surface of leaves of the plant. The processing of hyperspectral image comprises marking hyperspectral image and extracting spectrum; the analyzing and selecting of independent component comprises: analyzing and calculating the independent component by independent component method, and selecting the optimal independent component according to the regression analysis result; the calculating of chlorophyll distribution on surface of leaves of the plant means using the selected optimal independent component and the model to calculate chlorophyll content value of each point on the surface of leaves to constitute a chlorophyll distribution graph. Under the prerequisite of not damaging the surface of leaves, the chlorophyll content distribution graph obtained in the invention not only can indicate the local chlorophyll content of the leaves, but also can obtain the distribution situation of chlorophyll on the whole surface of the leaves, thus providing basis for intelligent judgment of nutrition situation of the plant.

The invention discloses a full-reference image quality assessment method based on an image edge difference statistical property comprising: firstly performs a multi-scale decomposition to the reference image and a distortion image; then detecting an image edge response under each scale based on the image multi-scale decomposition; obtaining a binary distribution diagram of the image edge; calculating an image edge difference statistical property by using the binary distribution diagram of the original image and the distortion image under different scales; finally mapping an image edge difference statistic to a psychological scale through a Weber-Fechner law, and carrying out normalization by using the total number of the original image edge points under each scale and obtaining a final assessment index of the image distortion. The full-reference image quality assessment method provided by the invention has advantages of stable performance, simple calculation, accurate prediction results, suitable for distinct types of distortion images, thus has great application prospect.

The invention provides a location positioning method applied to an LED display apparatus, which comprises: (a) acquire location information and resolution ratio information of a plurality of physics splicing units of the LED display apparatus; (b) generate distribution diagrams of a plurality of virtual splicing units, give different numbers respectively to the plurality of virtual splicing units and the numbers are corresponding to the plurality of the physical splicing unit groups one by one; (c) provide image for positioning consistent with the resolution ratio of the LED display apparatus and send the image for positioning to the LED display apparatus in order to enable the plurality of physics splicing unit groups to respectively display the numbers that are the same with the virtual splicing units, for observing display effects by users; and (d) respond to user input operation to select a virtual splicing unit that has the same number with the target physics splicing unit group from the plurality of virtual splicing units, so as to positioning a target physics splicing unit group. Thus, unique location on the LED display apparatus is positioned rapidly; and the positioning to an LED lamp point, lamp plate or box body is realized.

The invention belongs to the technical field of agricultural remote sensing, and particularly relates to a Landsat remote sensing data-based multi-cloud rain and fog region rice identification method.The method includes: distinguishing rice from other obvious ground objects, and obtaining a potential rice planting area in a remote sensing image; based on ground measured data, extracting the relationship between the spectral indexes of the rice sample pixel data in the transplanting stage; establishing a vegetation index threshold value model for rice identification by combining rice plantingregion division data and rice potential transplanting period data, extracting rice planting areas in remote sensing images step by step in a segmented mode, combining the planting areas of different rice types, and obtaining a final rice planting region distribution diagram rapidly and accurately. Compared with an existing method for extracting the rice planting area through a remote sensing technology, the method is mainly suitable for southwest China regions with cloudy rain and fog. According to the invention, the actual planting condition can be truly reflected, and the planting area extraction precision is improved.

The invention discloses a lithium ion battery full charge storage service life evaluation method. The method comprises steps: a battery sample for evaluation of lithium ion battery full charge states is stored at a plurality of storage temperature values T for appointed sampling time t, a capacity loss rate Q is obtained, and experiment data are generated; a capacity attenuation aged model is established, and values of a model parameter rho and a model parameter a are determined; the selection rationality of the storage temperature scope is determined based on the situation whether the model parameter a meets the Arrhenius formula at each storage temperature value T; a mean value and a standard deviation standard deviation of a model A and a model B are obtained through statistics; the value of the model parameter rho and the mean value of the models A and B are substituted into the model and fitting goodness determination is carried out; after fitting goodness is met, the service life of the lithium ion battery to be evaluated is predicted at a normal temperature and a service life distribution diagram is obtained. The evaluation method has advantages of sufficient service life evaluation principle, high data reliability, high precision, short evaluation time, wide application scope, is simple and practicable, and is easy to implement.

Disclosed are a method and system for measuring concentricity and the tip clearance of a rotor and a stator of an aero-engine. The method comprises the steps that the clearance amount of the rotor and the stator of the aero-engine at an initial measurement point is acquired; a clearance maximum jerk value FIR value, the phase of the clearance maximum jerk value FIR value, a maximum deviation IMP value between a sampling profile curve concave point and a mean profile, the phase of the maximum deviation IMP value, an eccentric distance ECC value, the phase of the eccentric distance ECC value, a maximum clearance value relative to the rotation center, the phase of the maximum clearance value, a minimum clearance value relative to the rotation center, the phase of the minimum clearance value, a maximum clearance value relative to the geometric center, the phase of the maximum clearance value, a minimum clearance value relative to the geometric center and the phase of the minimum clearance value are obtained; an angle-clearance distribution diagram is drawn; the clearance amount is corrected in the horizontal placement measurement process; a concentricity error value and the tip clearance of the rotor and the stator of the aero-engine are obtained. The system comprises a sampled data analysis module, a rotor and stator concentricity calculation module, a tip clearance analysis and calculation module and a horizontal-measurement deflection correction module. The method and system are suitable for measuring the concentricity and the tip clearance of the rotor and the stator of the aero-engine.

The embodiment of the invention discloses a crowd density statistics method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a to-be-counted target image comprising crowd information; inputting the target image into a pre-trained target detection deep neural network to obtain a first crowd density distribution diagram corresponding to the target image; inputting the target image into a pre-trained crowd density regression deep neural network to obtain a second crowd density distribution map corresponding to the target image; and fusing the first crowd density distribution diagram and the second crowd density distribution diagram through a pre-trained fusion neural network to obtain a third crowd density distribution diagram. The problem that crowd density distribution in different crowd degree scenes cannot be well processed during crowd density statistics is solved, and the universality and accuracy of crowd density statistics application are improved.