73results about How to "Data support is good" patented technology

The invention discloses a self-adaption controllable management system for cheat risk of an online transaction. The self-adaption controllable management system comprises a client, a payment gateway, an online payment platform and a risk control unit, wherein the online payment platform and the risk control unit are based on a cloud-end computation cluster and are integrally connected through a communication interface and a central knowledge base.. Based on a controllable cheat risk management system in online transaction, the risk management structure of the self-adaption controllable management system disclosed by the invention can self-adaptively find out and attack emerging cheat transaction, carry out track and score on a stated or externally accessed sensitive attribute value during dynamic credit management, combine a prediction model and a rule technique, can provide an experimental platform to simulate and optimize history transaction and predict profitability in a model, and respectively reply to a reference result with higher credibility to a client and a payment gateway through statistic analysis.

The invention discloses an accurate advertising method based on a smart TV player. The method comprises the following steps: A. acquiring device information and user behavior data of a terminal using the player; B. establishing a user behavior data model, and adding the acquired user behavior data in the user behavior data model; C. analyzing the data added in the model, scoring a plurality of indexes reflecting user interests to acquire an interest score of a user for historically pushed advertisement, and judging users interesting in specific historically pushed advertisement; D. finding matched advertisement similar to the specific historically pushed advertisement from a to-be-released advertisement library; and E. using all users interesting in specific historically pushed advertisement as target crowds, and releasing the matched advertisement to the target crowds. The invention further discloses an accurate advertising system based on the smart TV player. By adoption of the accurate advertising method and system disclosed by the invention, accurate advertising to the target crowds can be realized, and the rate of return on investment of the advertisement is improved.

The invention relates to a continuous attribute discretization method based on Canopy clustering and BIRCH hierarchical clustering. Compared with the prior art, the method solves the shortcomings of poor discretization effect and unreasonable discretization. The method includes the following steps: utilizing the Canopy clustering to achieve continuous attribute data initial clustering; utilizing the BIRCH hierarchical clustering to conduct secondary clustering with the clustering center as the sample; finding the nearest neighbors of the clustering centers of the dimension of any sample of the break point set to serve as the discrete micro adjustment basis and achieve continuous attribute discretization. The method can achieve the discretization method of the high-dimensional large-data samples, reduces the number of continuous attribute values, reduces dependency on storage space, enables the discretizated data to be regular and simplified and convenient to understand, use and explain, and expands the application range.

The invention discloses a slope displacement and inclination angle monitoring device. The slope displacement and inclination angle monitoring device includes hydraulic type sedimentation detection and inclination angle detection integrated monitoring instruments, benchmark liquid level tanks, a data sampler, a laser rangefinder and a data acquisition controller. The invention also discloses a slope displacement and inclination angle monitoring method. According to the method, a plurality of contour lines are selected on a measured slope, and a plurality of hydraulic type sedimentation detection and inclination angle detection integrated monitoring instruments are distributed on the contour lines; the laser rangefinder is installed on the opposite side of the measured slope; the hydraulic type sedimentation detection and inclination angle detection integrated monitoring instruments are adopted to monitor the vertical displacement amount and inclination angle change amount of the measured slope; the laser rangefinder is adopted to measure the horizontal displacement amount of the measured slope; the overall displacement and inclination angle data of the measured slope are obtained; and various kinds of slope analysis models are used auxiliarily, and therefore, an effective means can be provided for landslide disaster prevention.

The invention discloses a millimeter wave radar target trace point condensation method for an unmanned ship and belongs to the field of radar data processing. According to the invention, the millimeter wave radar target trace point condensation is realized by combining a threshold filtering method with a clustering method based on Euclidean distance. Firstly, target plot data in front of the unmanned ship are obtained from a millimeter-wave radar, a threshold filtering method is adopted for carrying out plot data preprocessing, and invalid target plots are filtered out; effective target plotsare rearranged according to relative distance values from near to far; the Euclidean distances among the plots is calculated according to the rule that the plots belonging to the same target are closein position and the same in speed, the similarity among the plots is measured by using the Euclidean distances, the target plots are clustered, the main information of an obstacle target is calculated, the size range of the obstacle target is represented, and the target plot aggregation is completed. According to the method, the data volume is reduced, the data processing efficiency and the accuracy of a radar detection result are improved, and good data support is provided for the autonomous collision avoidance of the unmanned ship.

The invention relates to a model test device for a high-speed railway subgrade passing through a karez. The device is mainly characterized in that a test box body is mounted below a cross beam of a reaction frame, and organic glass plates are arranged at the front part and the rear part of the test box body; the box body is filled with model soil in which tracer particles are buried; and a PVC vertical pipe and a PVC longitudinal pipe are arranged in the model soil; a railway subgrade is arranged on the top surface of the model soil; multiple layers of stiffened strips are arranged in the railway subgrade, a concrete base plate is laid on the upper portion of the railway subgrade, and a jack on the cross beam is arranged over a concrete plate; a vibration exciter and a displacement meter are arranged on the concrete base plate; three strain gauges are arranged on the model geogrids of the stiffened strips; three soil pressure boxes are vertically arranged on the railway subgrade, and three lateral soil pressure boxes and two strain gauges are arranged on the PVC vertical pipe; and a particle image velocimeter is arranged on the outer side of the test box body. According to the invention, the mechanical properties of the subgrade and the karez foundation under the train load can be obtained, so that a test basis is provided for reinforcement design and construction of the subgrade and the foundation of the high-speed railway in the karez region.

The invention provides a test method and system capable of carrying out login authentication on the basis of an SSH (Secure Shell) protocol. User equipment generates a login information pair according to a preset generation rule and sends at least one piece of login information in the login information pair to tested equipment; the tested equipment stores and determines a corresponding authentication test program; the user equipment sends at least another one pieces of login information in the login information pair to the tested equipment on the basis of the SSH protocol; and the tested equipment executes the authentication test program corresponding to the login information pair and feeds a test result back to user equipment. The test method and system is convenient for test personnel to carry out a batch test and does not need manual operation so as to avoid defects of low test efficiency, high error rate and the like brought by artificial participation.

The invention relates to a remote logging method and system, and the method comprises the steps of obtaining the adjacent well geological data of a to-be-drilled well through a preset geographic information system and a preset knowledge base, and obtaining the design data of the to-be-drilled well according to the adjacent well geological data; drilling the to-be-drilled well according to the design data, obtaining real-time logging data of the to-be-drilled well in the drilling process, and generating logging analysis data according to the real-time logging data; and analyzing the logging analysis data, and sending an analysis result to a remote terminal. According to the present invention, a set of remote logging technical process capable of supporting integration of well site logging data acquisition, transmission, publishing and application of the whole process can be established, the data synchronization and the interconnection of a well site and a remote terminal can be achieved,a remote cooperation function can be achieved, the real-time dynamic monitoring of the logging work can be achieved, and the early warning is conducted in time when abnormity occurs.

The invention discloses a number portability method, device and system. The system comprises an SIM card, a number portability mobile phone APP client, a number portability service platform and an operator number portability platform. By adopting the technical scheme of the invention, the number portability service can be quickly completed by operating on a mobile phone without going out by a user, so that the time cost of the user and the labor cost of an operator are saved; the switching operator does not need to replace the SIM card, so that the social resource utilization efficiency can beeffectively improved; and meanwhile, convenience and data support can be provided for a communication operator supervisor unit to know the operation state of the number portability service.

The invention discloses a knowledge point difficulty grading method based on big data, and the method comprises the steps: obtaining all questions corresponding to a target knowledge point, and forming a corresponding test question bank through all questions corresponding to the target knowledge point; providing questions in the test question bank to a target user for the target user to answer, and obtaining answer information and answer duration corresponding to the target user; calculating the complexity of an examination question corresponding to the target knowledge point according to theanswer information and the answer duration of the target user; determining the difficulty level of the target knowledge point according to the calculated complexity of the examination questions of thetarget knowledge point; and the purpose of automatically judging the difficulty levels of the related knowledge points according to the collected big data is achieved.

The invention discloses a nuclear power plant volume control box deoxidization testing system and method. The nuclear power plant volume control box deoxidization testing system comprises a top charging and bottom discharging system, a purging system, an oxygen content adjusting system, a temperature control system and a parameter monitoring system. The nuclear power plant volume control box deoxidization testing system provides functions of upper charging and bottom discharging flow control, temperature adjustment, oxygen content control, nitrogen supply, gas discharging and the like, and based on the functions, achieves a testing mode with intermittent purging and pressured air exhausting. The invention also designs corresponding testing methods for different working conditions and helpsacquire rules of influence of volume control box liquid level, waiting time and purging time on intermittent purging deoxidization effects as well as the rules of influence of standing time on pressurized air exhausting deoxidization effects; by comparing the testing data of two methods, difference of intermittent purging and pressured air exhausting in deoxidization effects can be acquired to provided optimized data support for optimization and adjustment of deoxidization strategies of actual generator units.

The invention relates to a short-time passenger flow forecasting method suitable for an urban rail transit system. The short-time passenger flow forecasting method suitable for the urban rail transit system comprises the following steps that a, swiping card ticket data of passengers riding trail transit are obtained from an AFC; b, classification is conducted according to the types of tickets; c, analysis is conducted on different types of passenger flow data; d, according to unique identification numbers, statistics of the daily travelling rule of each one-card is carried out; e, the daily travelling rule of the single one-card in a next forecasting time period on a single day is forecasted; f, a one-card forecasting result is formed; g, for the data of disposable tickets, passenger flow distribution is conducted with a K short path method, K paths are obtained, and the passenger flow distribution probability of each path is obtained; h, the disposable ticket data of the forecasted day are distributed to the different paths according to the probabilities of the K short paths, and the passenger flow data of different paths are forecasted. Compared with the prior art, the short-time passenger flow forecasting method has the advantages of being efficient, accurate, high in real-time performance and the like.

The invention provides a target identification method based on a linear frequency modulation wavelet atomic network. The target identification method comprises the steps of S1, offline training the linear frequency modulation wavelet atomic network; and S2, classifying the targets by using the linear frequency modulation wavelet atomic network obtained in the step S1, and outputting a recognitionresult. Based on a three-layer feedforward neural network structure, linear frequency modulation wavelet atoms are used as a characteristic extraction primary function of an input layer, the input layer realizes characteristic extraction through linear frequency modulation wavelet atom transformation, and a neural network classifier is formed by a hidden layer and an output layer. Compared with the prior art, the utility model has the following advantages: 1, richer feature information of a target can be obtained through linear frequency modulation wavelet atom transformation, better effectivedata support is provided for a classifier, and the accuracy of target identification is improved; 2, through combination of feature extraction and classification, parameter adjustment can be carriedout in real time according to different target features and recognition environments, and the recognition performance and the anti-noise performance of the recognition system are improved;

The present invention provides a voltage sag source location method considering the division of responsibilities, including: S1) collecting data on public connection points that need to monitor voltage sag, including fundamental positive sequence voltage, current effective value, and power factor; S2 ) Calculate the system impedance parameters according to the measured electrical data; S3) Calculate the upstream and downstream weight coefficients causing the voltage sag; S4) Determine the location of the voltage sag source and calculate the weight according to the upstream and downstream weight coefficients of the voltage sag The proportion of the coefficient determines the upstream and downstream responsibilities. This method can quantitatively give the location results of the voltage sag source, and calculate the upstream and downstream responsibility coefficients based on this, which can provide good data support for resolving disputes between power suppliers and consumers.

The invention discloses a sensor vibration experiment data acquisition system. The system comprises a vibration test apparatus and a pressure sensor, the pressure sensor is arranged on the vibration test apparatus, the system also comprises a data acquisition module and a transmission module, the vibration test apparatus drives the sensor to vibrate according to a preset vibration mode, a pressuresensing end portion of the pressure sensor is located in a constant pressure environment, the data acquisition module acquires voltage values output by the pressure sensor in the constant pressure environment and in various vibration modes, and the voltage values are transmitted to a data analysis apparatus for analysis processing through the transmission module. The system is advantageous in that some vibration conditions of the sensor in the practical work are simulated through adjustment of the vibration modes so that the stability and the reliability of the sensor are detected, the quality inspection by manufacturers is facilitated, and data support can be provided for the improvement of products; besides, data can be checked in real time by employing a display screen so that resultsare visual and detection alarm results can be emitted in time through a computer.

The embodiment of the invention discloses a service quality analysis method, system and device, a server and electronic equipment. The method comprises: acquiring log association information, whereinthe log association information comprises association information of an application layer log and a network layer log which are used for associating a data request, the application layer log compriseslogs provided by an application layer, and the network layer log comprises logs provided by an operating system kernel; according to the log association information, acquiring an application layer log and a network layer log of the data request in a log library, wherein the application layer log of the data request and the network layer log output by the operating system kernel in batches are stored in the log library; and performing service quality analysis according to the application layer log and the network layer log of the data request. According to the embodiment of the invention, thetechnical effect of providing better data support for service quality analysis in a relatively low-overhead and convenient manner can be achieved.

The invention provides a joint feature extraction and classification method based on adaptive chirp wavelet filtering, and the method comprises the following steps: S1: carrying out off-line trainingan adaptive chirp wavelet filter; and S2: performing feature extraction and classification on a target signal by using the adaptive chirp wavelet filter obtained in S1, and outputting an identification result. The method integrates a neural network structure with an adaptive filter, takes chirp wavelet atoms as a feature extraction basis function of an input layer of the filter to realize featureextraction of signals, and an output layer of the filter realizes target classification through an adaptive filtering algorithm. The invention improves the accuracy and the anti-noise performance of target identification; the filter parameters can be dynamically adjusted, and the filter effect on unknown signals is more efficient; the joint feature extraction and classification method based on adaptive chirp wavelet filtering has better adaptability to the random identification process; and the parameter adjustment can be carried out in real time according to different target characteristics and identification environments, and the identification performance of an identification system is improved.

The invention discloses a sensing system of an unmanned platform, which comprises an external sensing unit and an internal sensing unit, wherein the external sensing unit is used for sensing externalenvironment information, and the internal sensing unit is used for monitoring the vehicle position, the vehicle speed and the attitude of the unmanned platform. Environment information is divided intointernal environment information and external environment information, the external situation can be well sensed, internal data can be collected, various kinds of environment information can be effectively sensed, and good environment data support is provided for unmanned driving.

The invention relates to an eddy current retarder coil resistance test system and a test method thereof. A resistance tester of the test system measures a resistance value of a coil to be tested, and resistance value data is transmitted to a host computer via a serial port. An infrared temperature measurement probe senses a surface temperature of the coil to be tested, an infrared data processing module converts the temperature into temperature data, and the temperature data is transmitted to the host computer through the serial port. A resistance value temperature is calibrated, a set resistance standard range value is compared and analyzed, a detection result is determined and displayed, and a test result and the data are stored. The test method comprises the following steps of (1) inputting a product number of the coil to be tested so that the host computer automatically pops up the resistance standard range value of the coil to be tested; (2) clicking a ''detect'' button; (3) obtaining the resistance value collected by a resistance tester and a temperature value collected by the infrared temperature measurement probe; (4) carrying out temperature calibration, and acquiring a corresponding resistance value R20 at 20 DEG C; and (5) determining whether the R20 is within the set resistance standard range, if so, displaying ''qualified test''; and if not, displaying ''failed test''.