159results about How to "In line with the real situation" patented technology

The invention provides a detector for binary-code buffer-zone overflow bugs, and a detection method thereof. The detector comprises six functional modules, namely a debugger module, an input point positioning module, a disassembling module, a symbolic execution module, a loop operation analysis module and an intelligent FUZZ test module. Differing from static symbolic execution, the detection method dynamically loads programs through the self-developed debugger module to synchronously performing symbolic execution and single-step practical execution, and then applies a model to solve each difficulty in binary code analysis so as to test path coverage and detect overflow bugs in accordance with all executable programs of PE format under a Windows platform. The detection can also provide propagation paths of input data and other important information related to bug formation cause while positioning the bugs, only analyzes the selves of the executable programs, needs no source codes, is unrelated to the species of source codes and development tools, and is extensive in applicable occasions, so the detection method has good prospects for popularization and application.

A PoF based method for calculating mission reliability of an electronic product comprises steps as follows: step one, information of all mission profiles of the product is collected, and an environment profile of each mission is determined; step two, thermal simulation and vibration simulation of environmental stress of each mission are performed, and a local response of the product to an environmental load is obtained; step three, a product simulation model is established; step four, simulation calculation of the product in all the mission profiles is completed, and the mean time to failure and a main failure mechanism of the product are obtained; and step five, the mission reliability of the product is calculated according to the mean time to failure. According to the PoF based method for calculating the mission reliability of the electronic product, all missions of the product during lifetime use are considered, the environmental stress of each mission is simulated, and the mean time to failure and the mission reliability of the product are comprehensively calculated. By means of a PoF model, the direction relation between parameters of a product material, structure, process and the like and the reliability can be obtained, and a design improvement direction is clearly and directly provided for the product.

The invention discloses a method for detecting the actual capacity of a battery, which comprises the following steps: (A1) measuring discharge quantity in the battery discharge process, and recording the discharge quantity when the battery voltage is reduced to a set threshold; (A2) setting the initial value of battery attenuation ratio as 100%, and multiplying the battery attenuation ratio by the ratio of the discharge quality this time to the discharge quantity last time after discharge from the recorded second discharge, thus obtaining the corrected battery attenuation ratio; and (A3) multiplying the nominal capacity of the battery by the newly corrected battery attenuation ratio, thus obtaining the actual capacity of the battery. The invention also discloses methods for detecting the residual capacity, the residual standby time and the health condition of a battery based on the method for detecting the actual capacity of a battery. By using the methods disclosed by the invention, the service condition and health state of the battery can be accurately obtained.

The invention relates to a curvature detection device and method for a drill rod. The device comprises a drill rod clamping part, a sensor transmission part and a control and operation part, wherein a three-jaw chuck, a V-shaped block and a stepping motor A are arranged on the drill rod clamping part; the three-jaw chuck is used for clamping one end of the drill rod, and the other end of the drill rod is placed on the V-shaped block; a 2D (two-dimensional) laser sensor and a stepping motor B are arranged on the sensor transmission part; the control and operation part comprises a single-chip microcomputer and a host. The detection method comprises the following steps: acquiring the three-dimensional coordinate information of hemi-profile data points of a plurality of sections of the drill rod by using the 2D laser sensor; processing and calculating a section central point through the host, and fitting the central lines of n sections; determining the maximum curvature and coordinate value of a maximum bending point, comparing with the curvature limit value of the drill rod, judging whether the curvature of the drill rod is qualified or not, and providing a judgment result for a user. The device is scientific in structure, the detection method is simple, the curvature information of the drill rod can be obtained efficiently and accurately, and technical support is provided for the increase of the production accuracy of the drill rod.

The invention relates to the field of numerical simulation technology and discloses a rock material true triaxial test numerical simulation method considering an intermediate principal stress effect to truly reflect strength characteristics and failure modes of rock materials under a true triaxial stress condition. The method comprises the steps that a finite difference increment iterative computing format based on Mogi-Coulomb failure criteria is subjected to secondary development in FLAC3D numerical simulation software, and a Mogi-Coulomb constitutive model is obtained; and a numerical model of the rock materials under the true triaxial stress condition is established, basic physical mechanical parameters are assigned to the numerical model, and the Mogi-Coulomb constitutive model is loaded and called to perform simulation operation to obtain a corresponding numerical simulation computing result. According to the method, influences of intermediate principal stress on rock strength and the failure modes are fully considered during numerical analysis of the failure characteristics of the rock materials under the true triaxial stress condition, so that the simulation result is truer and more reliable.

The invention discloses a method for tracking extended targets by means of extracting feature points by the aid of frameworks. The method includes preprocessing to-be-processed images by means of Gaussian smooth filtering so as to remove influence of noise on follow-up algorithms; dividing the smoothened images by an FCM (fuzzy C-means cluster) algorithm to acquire binary images; performing Hough transformation on the binary target images acquired by means of dividing the smoothened images, detecting first certain portions on the targets, extracting the feature points of second certain portions on the targets by the aid of the frameworks, linearly fitting the feature points on the frameworks to acquire axes of the targets, and utilizing intersection points of straight lines of the axes as final tracking points. Linear features of the first certain portions on the targets are obvious. Linear features of the second certain portions on the targets are unobvious. The method has the advantage that the targets can be stably tracked under the condition of violent posture change.

The invention discloses a high-temperature Hopkinson pressure bar experimental system with an atmosphere protection device. The whole system comprises an atmosphere protection device, a heating system and a loading system, wherein the atmosphere protection device comprises a protection box, an exhaust emission pipeline and an exhaust filtering device, wherein the protection box is provided with a protective gas inlet, an exhaust emission hole and a cooling gas inlet, and a seal suite is arranged between the protection box and a wave guide bar; the heating system comprises a heating furnace, an armoured thermocouple and a thermocouple wire, wherein the armoured thermocouple is used for monitoring furnace temperature, and the thermocouple wire is welded on a test piece by spots and is used for measuring the temperature of the test piece. The whole heating furnace, the armoured thermocouple for monitoring furnace temperature and bar ends of two wave guide bars are separately arranged in the protection box. The invention can adopt two experimental methods for firstly heating the test piece, and then assembling the test piece and the wave guide bars or heating the test piece and the wave guide bars simultaneously. The experimental system not only can conveniently carry out a high-temperature dynamic experiment of special materials in a protection atmosphere, but also can be used for a high-temperature dynamic experiment in common air.

The invention discloses a wind power disturbance online safety precaution method. The wind power disturbance online safety precaution method comprises the following steps: acquiring real-time running methods of a power grid and a wind power plant; obtaining possible wind power disturbance of a current power grid in combination with historical data of the wind power plant; comprehensively calculating and evaluating safety and stability situations of the current power grid which is suffered from wind power disturbance; and carrying out online safety precaution of the wind power disturbance. Information of SCADA and information of WAMS are comprehensively utilized to carry out load flow calculation, the result is approximate to the actual situations, and the obtained effect is good. By the wind power disturbance online safety precaution method, high frequency historical monitoring data of the wind power plant are analyzed, the problem of difficulty in obtaining wind power disturbance information is solved, and wind power plant anticipated disturbance accords with actual situation of the power grid. A dynamic safety evaluation and precaution technique is combined with the wind power disturbance online safety precaution method, the power grid which is suffered from the wind power disturbance is subjected to comprehensive safety and stability calculation in distributed and parallel ways, and the calculation efficiency is high. And moreover, by the wind power disturbance online safety precaution method, weak areas of the power grid which is suffered from the wind power disturbance are given, and the calculation results are intuitional and easy to understand, so that practical dispatching and operation are easily guided.

The invention discloses an interactive filtering method for satellite attitude determination, and aims to overcome the defect that constant gyro drifts cannot be estimated by utilizing the optimal-REQUEST algorithm and improve the algorithm applicability. The method comprises the following steps: step 1, acquiring sensor measurement data, including gyroscope data and star sensor data; step 2, building a state space model of a satellite attitude estimation system, as well as building an attitude K matrix; step 3, according to the state space model, the state estimate of the known moment k, and a gyro measurement value, estimating constant gyro drifts at the moment k+1 by utilizing the CKF algorithm and the optimal quaternion at the moment k, and then compensating the gyro measurement value; step 4, according to the compensated gyro measurement value, carrying out time update and measurement update by utilizing the optimal-REQUEST algorithm, so as to obtain the optimal K matrix at the moment k+1; the remaining steps of obtaining the optimal quaternion at the moment k+1. The interactive filtering method is beneficial to improvement of the estimation precision.

The invention provides an airplane three-dimensional attitude computation method. Firstly, preprocessing is carried out on an image to be processed by the adoption of Gaussian smooth filtering to eliminate influences of noise on follow-up algorithms; secondly, the smoothened image is segmented by the adoption of a fuzzy C-means clustering algorithm (FCM) to obtain a binary image, then Hough conversion is carried out on the binary image obtained through segmentation, a part, with obvious linear features, on a target is detected, feature points of the part, with non-obvious linear features, on the target are extracted by the adoption of a framework, and then linear fitting is carried out on the feature points on the framework to obtain a target axis; finally, the obtained axis, the actual size of the target, camera parameters and other information are combined, and a three-dimensional attitude parameter of the target under a camera coordinate system is calculated by means of projective geometry knowledge. On the basis of geometrical features capable of reflecting the structure of an object and by means of Hough conversion and framework extraction of the whole target image, the obtained axis is more accurate, and the obtained three-dimensional attitude parameter is more precise.

The invention discloses a method for predicting a flashover voltage by using a surface conductivity and a leakage current. A surface conductivity of an insulator is measured; by using the surface conductivity of the insulator as an input parameter and combining a form factor parameter of the insulator, a dynamic arc model is established, a leakage current development trend is calculated to obtain a minimum flashover voltage of an insulator string, and the insulation margin and the external insulation level of the insulator are judged on the basis of the minimum flashover voltage. According to the invention, the whole conductivity of the insulator string is measured actually, the leakage current development trend is calculated by using the dynamic arc model, the change rule of the leakage current and the arc length with the time is described by using the arc dynamic model through a mathematical equation and more accords with the actual condition, and the purpose of insulation state judging and pollution flashover pre-warning is realized.

The invention discloses a social network-oriented multi-information and multi-dimensional network information propagation model and method, and belongs to the field of social network analysis. The method comprises the following steps of: firstly, obtaining social network data and preprocessing the data; secondly, extracting user information, user behaviors and user relationships from real data, and constructing a multi-dimensional network space by using a cosine similarity method; thirdly, establishing a model, importing influence factors on the basis of traditional epidemic models through using an epidemic model mechanism for reference, so as to express interaction relationships and intensities between different pieces of information, and then constructing a multi-information and multi-dimensional space network-based information propagation model; and finally, carrying out simulation analysis, constructing a kinetic equation from a micro perspective and a macro perspective so as to analyze a common evolution trend of two messages. The model and method more accord with real scenes of information propagation and are more beneficial for research of information propagation processes.

The invention discloses a fan power curve data preprocessing method based on outlier detection. According to the method, based on collected fan data comprising wind speed, active power, environment temperature, a pitch angle, etc. and real-time operating data obtained through a supervisory control (SCADA) system, outlier detection criteria are used to perform abnormal data cleaning, air density obtained through calculation is utilized to correct wind speed data, an outlier detection algorithm is used to detect and eliminate outliers in fan power curve data. According to the data preprocessingmethod, the outlier detection criteria guarantee the effectiveness of fan data information; wind speed correction guarantees the comparability of the fan data; and the outlier detection algorithm guarantees the reliability of final power curve data. The method is based on data driving, does not have a special requirement on data and is high in universality. Compared with the prior art, data credibility is higher, the process is more standard, and a high theoretical property and practicability are achieved.

The invention discloses a three-dimensional model tunnel test device for simulating a tunnel excavation and compensation grouting process. The three-dimensional model tunnel test device comprises a fixed barrel and an inner threaded hole matched with a lead screw, wherein a shaft sleeve comprises a circular platform part; the fixed barrel is provided with a plurality of groups of through holes; ejector rods are arranged in all the through holes, and slide along the through holes; a plurality of open elastic rings which are adjacent in sequence sleeve the fixed barrel; one end of each ejector rod is in close contact with the outer surface of the shaft sleeve; the other ends of the ejector rods are in close contact with the inner surfaces of the open elastic rings. By adopting the three-dimensional model tunnel test device, the application of a mechanical tunnel to tunnel model test is expanded, ring-by-ring contraction and expansion of the tunnel can be realized, and simulation of actual engineering is more vivid. Meanwhile, an actual duct piece is simulated through the open elastic rings, so that the roundness of the external profile of the tunnel in a test process is ensured, and finer test is realized; the three-dimensional model tunnel test device has great importance to indoor model test research for simulating the tunnel excavation and compensation grouting process.

The invention discloses a stray current simulation modeling method based on multi-train operation conditions, and relates to the field of stray current simulation modeling. According to the method, the stray current distribution characteristic is used; a 'steel rail-drainage network-buried metal-ground 'four-layer earth screen structure model conforming to actual subway line characteristics is utilized; a train and a traction substation are regarded as direct-current sources to inject current to the ground together; based on this, a distribution model of the electrical quantity of the earth screen under the action of a single injection source is deduced by using a micro-element method, and then the action results of the injection sources are superposed to obtain the distribution conditionof the electrical quantity on the whole line, so that the whole line stray current and the steel rail potential value obtained by simulation more accord with actual values. The method solves the problems that a traditional stray current distribution model is only driven by a single train and only supplies power to one or two substations, the model structure is simple, boundary conditions are greatly different from actual conditions, and large errors exist between simulation results and measured values.

The present invention provides a master-slave clock synchronization method and system, the master clock sends the first message to the slave clock, the slave clock feeds back the second message to the master clock, and records the time t when the first message leaves the master clock during this process 1 , the time t when the slave clock receives the first message 2 , the second message leaves the slave clock time t 3 and the time t when the master clock receives the second message 4 , calculate the path delay and clock skew between the master clock and the slave clock based on these recorded times, perform exponential smoothing on the path delay and clock skew, and synchronize the master clock and the slave clock according to the processing results. During the whole process, the path delay and clock offset between the master and slave clocks are calculated, and the path delay and clock offset results are optimized by exponential smoothing processing. The optimized data is more in line with the real situation and has adaptability, and can automatically adjust Time and frequency modulation to achieve high-precision master-slave clock synchronization.

The invention relates to a test method for detecting flexural rigidity and energy absorbing properties of automotive parts and a test device for detecting flexural rigidity and energy absorbing properties of the automotive parts. The test device comprises a hammerhead device on an upper end of the test device, a B-column clamp device and a guide rail device on a bottom of the test device, wherein the hammerhead device comprises a hammerhead guide rail (2), a T-shaped groove (2-1) of the hammerhead guide rail, first bolts (4), upper fixing nuts (3), lower fixing nuts (5), a hammerhead (6) and a force sensor (14); the B-column clamp device comprises a bracket (9), a connecting column (8), and a location pin (7); the guide rail device comprises a ground guide rail (10), a ground guide rail groove (10-1), fastening nuts (11), and second bolts (12); the B-column four-point bending quasi-static test device can be freely and easily installed on a pressure machine. The B-column clamp part of the test device can be adjusted according to the shape and dimension of the B column, thus the test device is high in flexibility and freely moved on the guide rail according to the spatial position of the B column.

The invention discloses a method for building a network application simulation system. The method comprises the following steps of: determining a bottom-layer configuration parameter and an application-layer configuration parameter of a network simulation system according to the requirement of the network simulation system; generating a bottom-layer physical network of the network simulation system according to the bottom-layer configuration parameter; building a network application system of the network simulation system according to the application-layer configuration parameter; and counting and visibly displaying the performance states of the network application system and the bottom-layer physical network when the simulation operates. According to the method disclosed by the embodiment of the invention, the method for building the network application simulation system is suitable for the building and the state monitoring of simulation platforms having various types of network application, and a solid argument basic platform is provided for proposing novel network application when the existing network application is guided to optimize at the same time.

The invention provides an arbor three-dimensional green quantity method and belongs to the technical field of measurement methods, which particularly relates to a three-dimensional green quantity method for arbors. Based on three-dimensional green quantity method for arbors, the crown actual shape of an arbor can be truly reflected. The method comprises the steps of scanning standing trees of different tree species and different diameter classes by means of a three-dimensional laser scanner; scanning each individual sample tree; conducting the treatment within the industry according to the specific process of coordinate correction; conducting the corresponding point matching method and compulsively constraining the data of each observation station in the coordinate system of a single instrument; three-dimensionally modeling; piecing together point cloud data measured by all observation stations to be a complete point cloud model of a measurement target; modeling the detail of the measurement target to complete the modeling of the measurement target; generating the point cloud data of trees; application handling; generating a cross-section drawing, a projection drawing and a contour map; processing the point cloud data and outputting the processed point cloud data via a data interface; and conducting the measurement on the model.

The invention discloses a slurry circulating pump RB control method of a thermal power generating unit. in allusion to abnormal flue-gas temperature rising of a boiler, during shutdown of all or part of slurry circulating pumps, the slurry circulating pumps RB are triggered and a spray system is started so as to realize matching control among unit coordinated control, accident spray commissioning and the slurry circulating pumps. By the slurry circulating pump RB mode, unit load is reduced while all accident sprays are all put into operation, and flue-gas temperature can fall to a safe range.

The invention discloses a user grouping method based on fuzzy clustering. The method comprises the following steps of: firstly, a current user similarity algorithm is improved to enable the improved user similarity algorithm to own a function of distinguishing data of different orders of magnitudes and enable users who are divided into the same group to have higher and more reasonable user similarity; secondly, a determining method based on the number of divided groups and an initial group center is put forward, the method divides a dataset to carry out statistics on the number of data points in each grid as data density in the grid, and the number of the grids with largest local density is calculated to determine the number of the groups so as to reduce blindness for determining the number of groups; and finally, in a user group division process, a fuzzy membership degree is adopted to enable the user to simultaneously belong to different groups by different membership degrees, and the fuzziness of user affiliation is kept in the division process so as to better conform to a true situation.

The present invention discloses a multiple insulation sample partial discharge test electrode device which comprises an earth electrode, a high pressure electrode and a conductive rod connected with the high pressure electrode. The invention also comprises a high pressure electrode plate, a supporting insulator and an insulating base plate. One end of the supporting insulator is permanently connected with the high pressure electrode plate and the other end is permanently connected with the insulating base plate. One end of the conductive rod is permanently connected with the high pressure electrode plate and is conducted, and the other end is connected with the high pressure electrode and is conducted. The high pressure electrode is arranged at the upper part of the insulator to be measured. The insulator to be measured contacts the earth electrode. The number of conductive rods, high pressure electrodes and earth electrodes are at least two respectively and these components are arranged at the circumference of the supporting insulator with one-to-one correspondence. The invention can simulate various typical single defect or mixed defect at the inner part of the high pressure electric power equipment. The characteristics of partial discharge signals which are generated simultaneously by a plurality of insulation samples or a plurality of insulation defects are obtained. The reliability and objectivity for on-line monitoring the inner insulation defect of the electric power device is increased.

The invention discloses an ecological security pattern recognition method fusing landscape indexes and a random walk model, which comprises the following steps: evaluating each ecological system service function based on an InVEST model, classifying into five levels according to a natural discontinuity point method, extracting a fourth-level range and a fifth-level range as high-value areas of ecological system services, and performing equal weight superposition on the high-value areas to obtain an result, the result being the ecological system service high-value area range; based on the land utilization type data, performing MSPA analysis by using a GuidosToolbox software platform, and extracting landscape elements of the core area from a result; taking an intersection of landscape elements of the ecological system service high-value area and the core area, wherein the intersection is an ecological source alternative area; through trend analysis, selecting a minimum area threshold value of the ecological source land which is most suitable for the research area. The invention provides a new ecological security pattern recognition system of 'recognizing an ecological source, constructing an ecological resistance surface, extracting an ecological corridor and selecting a key ecological node , so that the defects of an existing research normal form and a technical system are overcome.

The invention provides a mechanical equipment flexibility multi-state self-adaptive early warning method based on data mining. The method comprises the steps: performing preprocessing and feature processing on historical signals; identifying the running state of current equipment; determining an initial alarm threshold; acquiring a dynamic signal of the current equipment; performing similarity analysis on the monitoring data of the current equipment; establishing a current equipment state probability model; and determining an adaptive dynamic early warning value of the current equipment.

The invention discloses a building energy consumption prediction method and system based on big data, and relates to the field of building energy consumption monitoring. The method comprises the steps: obtaining the current energy consumption reference data and historical energy consumption sample data of a to-be-detected building; determining target energy consumption data close to the energy consumption reference data from the energy consumption sample data based on the energy consumption trend between the target energy consumption data and the energy consumption reference data and a presetrule; determining a second candidate energy consumption item set composed of candidate energy consumption items closer to the energy consumption reference data from the target energy consumption databased on the relationship between the respective energy consumption trends of the target energy consumption data and the energy consumption reference data; and finally predicting an energy consumptionresult based on the second candidate energy consumption item set capable of accurately reflecting the consumption trend of the energy consumption reference data obtained after multiple times of screening and the reference energy consumption trend. Compared with the prior art that the energy consumption result is predicted without performing any screening processing on the historical energy consumption data, the steps of the method of the invention can enable the predicted energy consumption result to more accord with the real situation.

The invention provides a near-surface Q-value inversion and classified evaluation method based on generalized S transform. The near-surface Q-value inversion and classified evaluation method comprises the steps of: step 1, sorting data of two adjacent channels; step 2, respectively applying generalized S transform on the data of two adjacent channels to obtain high-resolution time spectra; step 3, extracting corresponding instantaneous amplitude spectra of first arrival signals; step 4, adopting a logarithmic spectrum ratio method to perform inversion fitting to obtain a Q value between two channels; step 5, repeating the steps from (1) to (4), and performing inversion to obtain Q values between adjacent channels in all micro-logging data; step 6, generating curves of the Q values varying with depths at the well positions; step 7, calculating an average attenuation effect factor by combining layer thicknesses and layer velocities; step 8, and performing near-surface classified evaluation by taking the average attenuation effect factor as a benchmark. The near-surface Q-value inversion and classified evaluation method based on generalized S transform studies the acquisition method for deeper complex structure and stratum lithology exploration, improves the acquisition quality and efficiency, and provides effective technical support and guarantee.

The invention discloses a row cycle real-time adjustment system and a row cycle real-time adjustment method for a large-view-field space camera, is based on an ellipsoidal model of the earth, considers the image motion velocity differences at different view field positions of the large-view-field space camera, and solves the problems that the existing method is only suitable for small-view-field space cameras, does not consider the compression of the earth, is inconsistent with the true condition and has difficulty in guaranteeing the instantaneity, and the like. The row cycle real-time adjustment system of the large-view-field space camera is composed of a satellite bus interface, an embedded processor, a temperature-compensation crystal oscillator, an FPGA (field programmable gate array) and a level switch chip, wherein the FPGA is used for finishing generation and output enable control of multiple paths of row cycle signals. Compared with the traditional method, the method provided by the invention can effectively reduce the volume, the power consumption of large-view-field space camera controllers, and the machine-hour occupation of embedded processors.

The invention discloses a virtual hair-style simulation system. The virtual hair-style simulation system is formed by a camera (1), an intelligent computer (2), a voice module (3) and a database (4).The parts above the shoulders of the human body are scanned through the camera (1), an image after scanning is sent to the intelligent computer (2), the image is processed through the intelligent computer (2) and subjected to three-dimensional modeling, and a virtual substitute model of a user is generated; then hair of the user is scanned through the camera (1), and the hair quality information of the user is obtained; a hair-style template selected by the user in the database (4) is modified through the intelligent computer (2) according to the hair characteristics and the head style of theuser, then the hair-style template and the virtual substitute model are synthesized, and a three-dimensional simulation image is obtained; the voice module (3) expresses the satisfaction degree and the modification opinion of the user; the intelligent computer (2) records the satisfaction degree of the hair style of the user. The user directly and clearly sees whether the hair style is suitable for the user or not through a three-dimensional model.

A method for evaluate accessibility of the integration human travel behavior based on trajectory data. The method of the invention divides the user crowd of the target facility into the potential crowd based on the spatial obstruction and the actual crowd based on the trajectory data, respectively calculates the access probabilities of different crowd types to the target facility, and puts forwardthe integrated access probability of the two crowd types as the basis for judging whether a location belongs to the service scope of the target facility or not. The integrated service scope of the target facilities is generated by taking the integrated access probability as the constraint condition instead of the traditional spatial obstruction constraint, and the potential theoretical factors and actual travel factors are considered comprehensively. The integrated service scope is introduced into the two-step mobile search method to obtain the accessibility evaluation result. On the basis ofimproving the traditional accessibility measurement method, the invention proposes a method for approaching the real accessibility result by using the trajectory data from the point of view of the user use.