187results about How to "Helpful for analysis" patented technology

The invention belongs to the technical field of underwater target tracking, discloses an underwater target tracking method and system, a storage medium, equipment, a terminal and an application. The method includes: designing a structure based on a twin network in combination with an attention mechanism and a scale pyramid, wherein the algorithm is composed of a modified deep convolutional neuralnetwork VGG and an attention module; performing related operation on the image high-dimensional semantic information features extracted by the template branch and the search branch; and obtaining thetarget position of the next frame, and adaptively selecting the optimal scale in combination with the scale. The invention provides an attention mechanism and scale self-adaption-based underwater target tracking method, which achieves accurate and robust tracking of an underwater target, provides a basic guarantee for marine ecological protection and marine fishery, and promotes marine sustainabledevelopment. The invention provides an underwater target tracking method based on an attention mechanism and scale self-adaptation, and the problems in the underwater tracking process are further relieved.

The invention discloses a massive web log data query and analysis method based on Hadoop and Hive by means of high reliability, high expansibility, high efficiency and high fault tolerance of a Hadoop and Hive distributed computing platform. The method includes the following steps that data of each data source are analyzed; the data are loaded into a database; HiveQL sentences are received; the received sentences are optimized to obtain a primary map result; the received sentences are converted into a Map Reduce task, the task is executed, and a query result is stored; the data are segmented; the data are analyzed and dug; the data are loaded into a Mysql database. According to massive web log data, precise query and data analysis are achieved, expansibility and effectiveness of storage, query and analysis of the massive data are achieved, and the problem that due to uneven job distribution caused by data skew, overall performance is reduced is avoided.

The invention provides a CRISPR/Cas9 random library, and its construction and application. The CRISPR/Cas9 random library is characterized by comprising sgRNA, wherein the sgRNA contains a recognitionsequence, the first nucleotide in the 20 nucleotides of the sequence is set as G, and the second to twentieth nucleotides are set as random nucleotides. The sgRNA random library of the invention hashigh-throughput, is universal and free of preference, and provides an efficient tool for high-throughput function-annotation genomic functional elements used in functional genomics.

The invention relates to the technical field of video image processing, in particular to a method for detecting the head and the shoulders of a pedestrian in a video, and solves the problems of inefficiency, high undetected rates and low accuracy existed in a conventional method for detecting the pedestrian in the video. The method for detecting the head and the shoulders of the pedestrian in the video based on an overhead pixel gradient direction includes subjecting a scene in the video to background modeling by adopting an averaging method, and extracting a front scene of a video image; finding out an overhead candidate point by utilizing an feature that the overhead pixel gradient direction is provided with a fixed range, calculating sizes and locations of the head and the shoulders as a to-be-detected window of the head and the shoulders of the pedestrian according to a coordinate of the overhead candidate point; extracting an HOG (histogram of oriented gradient) feature and an HSV (hue, saturation, value) color feature and inputting the same into a classifier to detect whether the to-be-detected window is about the head and the shoulders of the pedestrian or not, so that the undetected rates caused by the fact that the pedestrian's body is blocked is reduced.

The invention provides a double-column rotary corrosive-wear testing machine, comprising a testing stand, which is provided with two columns, wherein a crossbeam is arranged on the columns and a through hole is formed in the center of the crossbeam; a crossbeam elevating and driving mechanism, which is arranged on the test stand and connected with the crossbeam; a testing drum, which is arranged on the center of the test stand, wherein an annular temperature control/cooling pipeline is arranged in the lower part of the testing drum; a transmission shaft, which passes through and is arranged in the through hole in the crossbeam; a sample clamping disc, which is fixed at the lower end of the transmission shaft, wherein the upper end surface of the sample clamping disc is provided with an annular groove, and the outer sides of the annular groove are provided with installation through holes; working electrodes, i.e., to-be-tested samples, which are inserted into the installation through holes; an auxiliary electrode, i.e., an annular platinum wire, which is arranged in the annular groove of the sample clamping disc; reference electrodes, which are uniformly distributed on the sample clamping disc at positions corresponding to the working electrodes; and a dynamic connection pool, which comprises annular dovetail cups, wherein the annular dovetail cups sleeve the upper part of the transmission shaft, leading-out circular rings are arranged at the bottom of the inner sides of the annular dovetail cups, the outer sides of the leading-out circular rings are provided with wiring copper columns penetrating the bottoms of the cups, the interior of each annular dovetail cup is provided with an electric needle, the lower ends of the electric needles are certain distance away from the leading-out circular rings, and the working electrodes, the auxiliary electrode and the reference electrodes are connected with the dynamic connection pool through leads.

The invention belongs to an on-line aggregate monitoring device. The on-line aggregate monitoring device comprises a sampling module, a sample injection module, a dispersion module and an image acquisition and analysis module, wherein the sampling module is arranged on a feeding conveyor belt, performs sampling at a preset frequency and feeds samples to the sample injection module; the samples reach an image acquisition area of the image acquisition and analysis module through the dispersion module; and the image acquisition and analysis performs feature extraction on acquired images to obtainparameters of aggregate. The machine vision and digital image processing combined technology is adopted to realize rapid on-line detection of the granularity and the grain shape of aggregate, the aggregate grading situation of an aggregate production line can be reflected in time, and economic loss caused by unqualified granularity and quality of fine aggregate is avoided.

The embodiment of the invention discloses an information source determination method comprising the steps that the time period to be analyzed is determined; the pollutant concentration information ofthe target monitoring point in the time period to be analyzed is acquired; the regional background concentration of each sampling moment obtained through the interpolation method within the time period to be analyzed is acquired; the local emission contribution observed by the target monitoring point is determined according to the pollutant concentration information and the difference value of theregional background concentration of each sampling moment within the time period to be analyzed; the two-dimensional wind vector information of the time period to be analyzed is acquired; and the location of the pollutant is determined according to the regional background concentration of each sampling moment within the time period to be analyzed, the local emission contribution and the two-dimensional wind vector information. The local emission concentration contribution and the regional transmission concentration contribution are combined with the wind speed, the wind direction and other parameters and then the corresponding vector diagram is drawn so that the real emission source and the location of the emission source can be analyzed by the method.

The invention relates to a method for modeling and optimizing cleaner production of a cement clinker sintering process. The method comprises the steps of establishing a cement clinker sintering process model in Aspen Plus software according to a material balance relationship and the heat conservation principle of various working procedures in the cement clinker sintering process; setting and inputting data of the cement clinker sintering process, and operating the model until a simulation result meets an error requirement; selecting corresponding energy saving and emission reduction technologies according to actual production requirements, optimizing the cement clinker sintering process model, and optimizing a clinker sintering method. According to the invention, the steady-state model of the cement clinker sintering process is established based on fundamental principles of substance conservation, energy conservation and macroscopic reaction dynamics, thereby being conducive to describing influences imposed on the process by changes of process parameters and adoption of energy saving and emission reduction technologies.

The invention discloses a data acquiring and positioning monitoring system for quick urgent repair of a power grid. The system comprises a data transmission unit, a data acquiring unit, a data monitoring unit, a data positioning unit and a data terminal device, wherein the data acquiring unit, the data monitoring unit, the data positioning unit and the data terminal device are connected with the data transmission unit; the data acquiring unit comprises a digital ammeter and a data acquiring device; the data monitoring unit comprises a plurality of independent GIS (Gas Insulated Switchgear) platform, and a plurality of early-warning modules which are on the basis of the GIS platforms; the data positioning unit comprises a positioning module and an addressing module; the data transmission unit comprises a multi-way input/output wireless communication platform. According to the data acquiring and positioning monitoring system for the quick urgent repair of the power grid, the principles of intensive controlling and addressing positioning are utilized to realize the acquiring monitoring before a fault and the quick looking up of a fault point, which is beneficial to quickly create a fault processing and analyzing report, and therefore, an urgent repair worker can quickly determine and implement.

The invention belongs to shearing seepage experimental instruments, and relates to a large-scale bi-dimensional fractured rock mass shearing seepage meter which comprises a workbench, a vertical stress loading system, a transversal stress loading system, a vertical seepage loading system, a transversal seepage loading system and a data measure and control system. The large-scale bi-dimensional fractured rock mass shearing seepage meter can be used for not only unidirectional load-unidirectional seepage experiments, and unidirectional load-multi-directional seepage experiments of fractured rock mass, but also bidirectional load-unidirectional seepage experiments and bidirectional load-multi-directional seepage experiments. As a crack on the large-scale fractured rock mass is generated through a computer at random, discontinuous surfaces such as a joint, a crack and the like in natural geological rock mass can be simulated relatively really, and small-size defect can be overcome; moreover, micro cameras are adopted, so as to record the whole flowing process and state of a colored liquid in the fractured rock mass; stress loading and seepage loading are controlled conveniently in an experimental process, the pressurized seepage state can be kept constant for a long time, and the experimental accuracy is high.

An asphalt multi-stage creep damage test method is as follows: firstly determining the control load of a frequency sweep test in a multi-stage creep test based on a stress scanning test; then selecting frequency sweep test nodes according to a creep compliance variation rule in a conventional creep test, and taking a first test node as a test starting point, namely a time zero point; performing the frequency sweep test at the first test node, then performing a creep test, again performing the frequency sweep test when reaching the second test node, cycling until the test is finished; establishing a main curve of viscoelastic parameters based on results of the frequency sweep test of each test node; using a viscoelastic constitutive model to fit the main curve of each test node; and finally, analyzing the change law of asphalt creep damage based on the parameters of the viscoelastic constitutive model. The asphalt multi-stage creep damage test method is helpful for understanding the damage characteristics and the evolution mechanism of the asphalt creep damage, and is of great significance for the establishment of asphalt performance evaluation indicators.

The invention provides a high-resolution single-polarization SAR image building target detection method based on structural characteristics, and the high-resolution single-polarization SAR image building target detection method comprises the steps: inputting a high-resolution single-polarization SAR image, carrying out image segmentation, and obtaining a probability value prob that SAR image pixels belong to a building target and a background through a deep semantic segmentation network; performing intersection operation by using the region number and the connected domain number to obtain an over-segmentation result of the image; calculating a region adjacency map, performing similarity analysis on adjacent regions according to the region adjacency relationship, the region geometrical characteristics, the statistical characteristics, the texture characteristics and the obtained probability value prob, combining the regions meeting a similarity threshold value, sequentially expanding and combining outwards, and calculating the adjacency map of each region of the image after the regions are combined; and based on different image features represented by shadows of the roof, the wall body and the ground of the building target in the SAR image, judging whether the preliminarily extracted area and the adjacent area can form a corresponding structure of the building target or not by utilizing the area adjacent graph, and obtaining a building target detection result.

The invention discloses a combustible gas explosion testing device in an explosion venting space. The explosion testing device comprises a fuel gas source (1), a pressure sensor (6), a pressure sensor (7), an infrared gas analyzer (17), a high-speed camera (18) and a closed chamber (19). The closed chamber (19) is of a full-scale reinforced concrete structure, and the rear side wall of the closed chamber (19) is of a full-steel plate structure. A front explosion venting hole (5) which is communicated with the outside of a room is formed in the front side wall of the closed chamber (19), and a rear explosion venting hole (10) which is communicated with the outside of the room is formed in the rear side wall of the closed chamber (19). A closed machine box (15) is arranged outside one side wall of the closed chamber (19). An anti-explosion draught fan (14) is arranged inside the closed machine box (15). A detonating fuse head (8) is arranged inside the closed chamber (19). According to the testing device, combustible gas explosion tests in a full-scale building under various working conditions can be achieved smoothly, and combustible gas explosion pressure parameters are provided for scientific computation and engineering application.

The invention discloses a vehicle travelling panoramic recorder which comprises spherical cameras used for shooting images around a vehicle body, an information combiner used for synthesizing the images shot by all spherical cameras into a panoramic image, an information conversion transmitter used for converting the panoramic image synthesized by the information combiner into a digital signal and sending the digital signal outside, a storage used for receiving and storing data sent by the information conversion transmitter, a collision sensor used for detecting whether the vehicle is collided, and a storage time setting device used for setting storage time of the data stored in the storage. Through carrying out panoramic recording on the condition around the vehicle, accurate evidences prove reasons of causing accidents after the accidents are caused, the accident reasons are favorably analyzed after the accidents are caused, and accident liabilities are determined, and data is provided for accident statistics and accident prewarning in future.

The invention discloses a comprehensive energy system-oriented medium-and-long-term comprehensive demand response modeling method, which comprises the following steps of constructing a comprehensive energy system scheduling model; building a comprehensive demand response model; establishing a comprehensive demand response system dynamics model based on the medium and long term time dimension; andusing the flexible load, the energy storage and the electric vehicle as the participation subjects of long-term comprehensive demand response to carry out demand response analysis. The method has thebeneficial effects that the coupling characteristic of a comprehensive energy network is considered, so that the economical efficiency of system scheduling is improved; the alternative load of a comprehensive energy user is considered, so that the analysis on the energy consumption behavior of the user is facilitated, and the user effectiveness is improved; the long-term, middle-term and short-term demand response decisions of a user are considered, and the coupling relation among long-term, middle-term and short-term user behaviors and the time change characteristics of demand side resourcesare analyzed.

The invention provides an enterprise credit risk evaluation method and system based on an association relationship, and relates to the field of enterprise risk evaluation. The method comprises the following steps: obtaining enterprise association relationship data to form historical data; constructing an enterprise network based on the historical data; identifying enterprise risk events of all enterprises in the enterprise network; quantifying the association risk of the enterprise based on the enterprise network and the enterprise risk event; obtaining an effective association risk factor based on the quantified enterprise association risk; and predicting the default risk of the enterprise based on the effective association risk factor and the traditional enterprise credit risk evaluationfactor. The credit risk of the enterprise can be accurately predicted.

The invention relates to a method for positioning and debugging a pipeline security and protection system based on an optical fiber sensor. The method comprises the step 1 of positioning an optical cable well, the step 2 of positioning an optical cable pile, the step 3 of positioning a pipeline, the step 4 of collecting soil vibration data and dividing the environmental region along the optical cable according to the detected vibration data. According to the method, the environmental region along the tested optical cable can be divided, the conditions of the external field environment and the influence of the geologic characteristics on the system detected signals can be got visually, and the individual parameter configuration efficiency and progress can be effectively improved, and therefore, various intrusion behaviors occurring at later period can be analyzed for different environmental regions conveniently. On the basis, the system is capable of accurately positioning the intrusion behaviors at the later period and the manager can handle the intrusion behaviors conveniently; as a result, the losses can be reduced to a large extent and the management can be performed conveniently.

The invention discloses a trace nucleic acid releasing agent. The releasing agent realizes that hepatitis B virus nucleic acid extraction and fluorescent augmentation are directly performed in the same tube, radically solves the problems of nucleic acid loss and pollution caused by a multi-step nucleic acid extraction method, and is applicable to the fluorescent PCR detection of a whole blood sample for the first time; the releasing agent adopts quantificational provirus serum as a quantificational standard and realizes the whole process monitoring of the standard to the sample; the releasing agent adopts double pairs of forward primers and reverse primers and a probe decorated by forward fluorescence and reverse fluorescence to perform fluorescent PCR augmentation, further to improve the sensitivity and the augmentation efficiency of the releasing agent; blue promoting fluorescer is introduced to ensure that prepared PCR operating liquid is light blue, and has the functions of steady fluorescent signals, strengthened augmentation efficiency and so on, without affecting the fluorescent detection; the releasing agent sets two temperature gradient programs, adopts a rear-section fluorescence acquisition method, is convenient to analyze and improves the service life of an instrument; compared with the prior method, the technology has revolutionary innovation.

The invention discloses an X-ray nondestructive flaw detection system and device based on a lobster eye lens. The device mainly comprises an X-ray light source, the lobster eye lens, an object to be detected, an X-ray imaging detector, a signal processing system and the like and can be applied to nondestructive flaw detection. The X-ray beam emitted by the X-ray light source is irradiated onto thesurface of the lobster eye lens to be focused to form high-strength crossed focal spots so as to perform flaw detection with the object to be detected at the focal length, flaw detection signals arecollected by the X-ray detector, and finally, flaw centroid positions and boundary patterns inside and outside the object to be detected are obtained by a matrix centroid method and a Canny boundary algorithm. The system and the device disclosed by the invention can quickly realize nondestructive detection of structures, impurities, breakdown channels, shape distortion and the like inside and outside the object to be detected, can accurately obtain high-definition flaw information and results of the object, are simple in structure and have wide application prospects in the field of detection.

The invention discloses an expression system of the machining information of a numerical control machine tool. The expression system comprises a sensing unit and a field bus and is characterized by further comprising a storage module, a calculating module, a selecting module, a coloring module, a control module, an overlapping module and an output module, wherein a value domain R of an error increment value deltaE is determined according to experience data, the domain R of the error increment value deltaE is marked through a color tape composed of a variety of colors, and different error increment values deltaE correspond to different colors S; the control module is used for determining three-dimensional coordinate positions (X, Y and Z) information and outputting the information to the overlapping module; the overlapping module is used for overlapping a color S corresponding to the error increment value deltaE on the three-dimensional coordinate positions (X, Y and Z) depicted by a time t movement track; and the output module is used for outputting a colored error coordinate (X, Y, Z and S) composed of the overlapping module to a numerically-controlled system man-machine interface. According to the expression system, the value results of various physical quantities are depicted through information such as graphs and colors, and the state change and machining effects that a workpiece is machined by the numerical control machine tool are reflected to an operator visually and vividly.

The invention discloses a social network event detection method based on link prediction. First, the algorithm SimC is used to calculate the similarity of each time period for the input network G, and according to the calculation results, the network evolution sequence GraphS is obtained; and then combined on the GraphS The threshold T adopts the event detection algorithm EventD, and outputs the event sequence EventS. The invention helps to analyze the social network evolution, detects important events in the network, and then guides the normal evolution of the network.

The invention provides a system with a video monitoring function for carrying out research on circadian rhythms under the condition of exposure to microwaves. Various LD (light and dark) lighting systems for the research on the circadian rhythms are automatically implemented by a lighting system setting and illumination control module; a multi-processor working mode is adopted, a main processor notifies a video processor to process corresponding videos via a video processing function calling interface, and is connected with temperature, humidity and light intensity sensors by serial or I2C (inter-integrated circuit) interfaces, data can be acquired and stored, and whether the data exceed set threshold values or not can be judged; and the system supports two modes for controlling microwave radiation, microwave equipment is automatically controlled and measured by LXI standards in one mode, and a microwave generating circuit and a microwave measuring circuit are integrated in the system in the other mode. The system with the video monitoring function for carrying out the research on the circadian rhythms under the condition of exposure to the microwaves has the advantages that an automatic procedure and the lighting system implementation precision can be improved, and the complexity of manual operation is reduced.

The invention discloses a metallographic corrosive agent for an as-extruded Mg-Li alloy and a using method of the metallographic corrosive agent. The metallographic corrosive agent is prepared by mixing 98% by mass of glacial acetic acid, 50% by mass of picric acid and 98% by mass of ethyl alcohol, and preferably the volume ratio of glacial acetic acid to picric acid to ethyl alcohol is 20:20:60, so that metallographic corrosion of the as-extruded Mg-Li alloy can be finished conveniently and fast, and the as-extruded Mg-Li alloy subjected to metallographic corrosion has the clearest and most complete metallographic structure and clear and distinguishable grain boundaries, which is conducive to observing and analyzing the metallographic structure.

The invention provides a regional carbon dioxide concentration detection device based on a plurality of sensors and a method of the regional carbon dioxide concentration detection device, and belongs to a carbon dioxide concentration detection device and a method of the carbon dioxide concentration detection device. The device comprises a central processing unit module, a carbon dioxide concentration detection module, a GPS (Global Position System) positioning module, a clock module, a mini-type meteorological station, a mini-type camera, a data storage device, a control press key panel, a liquid crystal display module, an RS-232 communication interface module and a power supply module. The method comprises the following steps: a movable detection mode and a static detection mode are set; concentration data are detected by a carbon dioxide concentration sensor; a GPS is used for recording coordinate information of a detection point; a clock and the mini-type meteorological station are used for respectively recording time and meteorological data; the mini-type camera is used for recording an experiment field environment in real time and five types of data can be put into the storage device of the device; then the data are transmitted to a computer system by a communication interface to be stored in a computer hard disk; and a regional carbon dioxide concentration space-time distribution diagram is generated by a special GIS (Geographic Information System), and driving factors and source identification are analyzed by monitoring data of an experiment field.