329results about How to "Comprehensive test results" patented technology

The invention discloses an abnormal power consumption detection method. The method comprises the following steps: A, pre-processing the currently collected data and the history data; B, detecting the pre-processed data by adopting a data mining algorithm so as to recognize the suspected abnormal power consumption users; C, taking part of the suspected abnormal power consumption users that exceed a preset threshold parameter as abnormal power consumption users to carry out feedback; D, carrying out association analysis on the abnormal power consumption data in the history data by using an association algorithm so as to extract an abnormal power consumption internal association rule, and expressing the analysis result by using a form or a graph; and E, carrying out statistics on the distribution of the abnormal power consumption users in different industries and types and the data of specific abnormal power consumption users for query. According to the abnormal power consumption method, the power consumption data accumulated by the existing power grid information acquisition system is analyzed so that the abnormal power consumption users are detected; and through detecting the abnormal power consumption users, the detection result is more comprehensive, the detection correctness and the detection efficiency are improved, and the detection time is saved.

The invention provides a meat product freshness detection method based on multisource perceptual information fusion. According to the method, a near infrared spectrometer, a computer vision system and an electronic nose are used for acquiring internal and external information of a sample simultaneously and respectively, the feature extraction and fusion treatment are performed on the acquired information, and the freshness grade of a meat product is evaluated according to a freshness grade evaluation standard of the meat product. The method comprises the steps of establishing the freshness grade evaluation standard of the meat product, establishing a freshness grade forecast model of the meat product, and performing freshness grade evaluation on the sample to be detected. The method comprehensively uses the spectrum, image and smell fingerprint information, comprehensively determines the internal and external quality of the meat product, and can realize quick, simple, convenient and objective grade evaluation of the freshness of the meat product.

The invention discloses a vehicle target detection method and aims to solve the technical problems that a traditional method is complicated in detection process, large in calculated quantity and inaccurate in detection. According to the method, a VOC 2007 vehicle dataset is made according to an ImageNet dataset; a training model is configured by the adoption of a caffe deep learning framework andan improved Faster R-CNN algorithm, and an Inception network structure is introduced to perform feature extraction on an image; a sliding window with the area of 642 is additionally arranged and usedfor detecting a small target; a target detection problem in a scene is converted into a target dichotomy problem, and a vehicle target is detected and recognized; an RPN loss function is used to perform optimization; and a SoftMax algorithm is utilized to classify vehicle image features, and therefore a final result is obtained. The method has the advantages that the calculated quantity of the image features is reduced, the detection process is simplified, the image feature extraction capability is enhanced, network recognition precision is improved, and the detection result is more comprehensive.

The invention relates to a detection method for software vulnerability, and belongs to the technical field of information security. The detection method comprises the following specific steps of: (1) collecting a software source code program containing known vulnerability; (2) obtaining a vulnerability code table; (3) obtaining a control flow graph CFG and an assembly code of the program to be tested; (4) determining key analysis code segments in the assembly code of the program to be tested and obtaining all paths of passing through nodes corresponding to the key analysis code segments through the control flow graph CFG of the program to be tested; and (5) for each suspicious path, an improved Fuzzing test method is used for detection to obtain the test results of the program to be tested. In the invention, when a fitness function is determined, the dependence on the source code of the tested program is eliminated, and the availability of information is kept; and the redundant information in an abstract syntax tree is eliminated and the integrity of useful information is kept, therefore, the practicality is better, and the efficiency is higher.

The invention relates to a method for forecasting rock blasting damage depth of nuclear power projects. The method comprises the following steps of performing the blasting vibration testing to determine a site vibration attenuation rule; performing the sound wave testing to primarily determine the rock damage depth; performing the finite element numerical simulation, and calculating the rock particle vibration speed and rock blasting damage depth; respectively establishing the change rules of the particle peak vibration speed (1m away from a blasting source R) along with the rock blasting damage depth under the step blasting and pre-fracturing blasting types; substituting the explosive charging quantity Q0 of an actual section into the site blasting vibration attenuation rule and the change rules of the particle peak vibration speed along with the rock blasting damage depth, so as to forecast the blasting damage depth caused by the explosive charging quantity. The method has the characteristics that one part of site sound wave testing can be replaced with the numerical simulation, the site testing frequency is reduced, the field workload is reduced, and the construction efficiency is improved; the site blasting group hole effect is comprehensively considered, the forecasting is accurate, and the operation is convenient and rapid.

The invention discloses a software continuous delivery acceptance method based on continuous integration and automated testing. From source code submission, a code is downloaded from a source code configuration tool to carry out automated construction, and FindBugs code vulnerability scanning is integrated through a construction tool; after construction is finished, Docker is used for creating deployment environment or integrating with existing environment; then, function test script management, performance test script management, compatibility test script management and code vulnerability scanning configuration management are realized; the integrated environment of integrated function testing, performance testing, compatibility testing and source code auditing is provided; and various tests are executed, and results are uniformly managed. Through the method, test personnel do not need to build the complex continuous integration and testing environment, the test of each dimension of one item can be quickly realized, the comprehensive test result of the whole item is provided, and test efficiency is greatly improved.

The invention belongs to the technical field of Android binary file vulnerability excavation, and discloses an Android binary file vulnerability detection method and system. The method comprises the steps that the collection of code coverage rate information is achieved by using a pile pitching technology based on LLVM to be adopted as judging criteria of measuring the feed sufficiency in a genetic algorithm, and seeds are selected to perform random variation of the next generation; a testing case generation model is constructed by using an RNN network in machine learning, and testing cases obtained by training using a large number of files of a certain format are used for generating the model to automatically generate new testing cases. By means of the method, a Fuzzing test can be conducted on binary files such as Android system libraries and the like, the coverage rate of initial codes can be effectively improved by using a machine learning technology to perform training to obtain the testing case generation model to generate initial testing cases, the needed variation and execution time for searching for some routes is saved, and the efficiency of Fuzzing is improved.

The invention provides a full-automatic visual acuity examination method and an examination device for infants; a stimulus graph can be automatically displayed, and the seeing position, direction and time of eyes of the infant can be automatically recorded and calculated; and meanwhile, a test result can be obtained upon automatic analysis. The full-automatic visual acuity examination device for the infants comprises an eyeball tracking module, a control module, a display module and a visual acuity examination instrument host, wherein the eyeball tracking module and the display module are connected to the visual acuity examination instrument host; the eyeball tracking module is used for locating the seeing position of the human eyes; the display module is used for displaying a pattern for examination; and by virtue of the control module, data communication among the visual acuity examination host, the display module and the eyeball tracking module is achieved.

The invention aims at providing an automatic detection method of an oblique incidence body wave technical steel plate, which carries out comprehensive and fast detection to steel plates with the thickness of less than 75mm and accurately detects various defects, and a device thereof, and the device consists of an electromagnetic ultrasonic detection unit and a circuit system. The invention adopts the oblique incidence body wave mode to carry out detection to the steel plates, which not only is more sensitive to the detect in size, but also can detect the defects of cracks and the like, thus having more comprehensive detection result. The detection unit adopts a mode that transverse arrangement and longitudinal arrangement are combined, thus being more sensitive to the defects of the transverse and the longitudinal direction. The invention combines an ultrasonic transmission method and a reflection method, which not only has higher sensitivity to the defects, but also can position the defects precisely, thus having higher confidence level of the detection result. The invention has wider range for detecting the thickness of the wall of the steel plate, with the highest of 75mm, thus meeting the requirements for the steel plate with thick wall.

The invention discloses a software quality assurance method integrating continuous delivery and automated test, The method provides users with the function of individually customizing the software quality detection pipeline, which is composed of source code configuration, static code scanning, continuous construction, continuous deployment, functional testing, performance testing, compatibility testing and dynamic security testing. By using the software quality assurance system, Testers do not need to build a complex continuous integration and testing environment, and can quickly implement automated testing of each dimension of a project, or predefine a software quality inspection pipeline for automated testing, and provide the overall test results of the entire project, which greatly improves the test efficiency and reduces the complexity of test configuration.

The invention relates to a bridge deck bonding layer torsional shearing device and a detection method of the bridge deck bonding layer torsional shearing device. A torque spanner is connected with a torsional shear tray by a rotary joint, torsion is transmitted to a test piece to be detected by the torsional shear tray when the torque spanner is twisted to apply torque, the maximum torque value when the concrete layer and an asphalt paving layer of the test piece to be detected are separated is recorded, thus obtaining the shearing strength of the bonding layer of the test piece to be detected.. The device has a simple structure, is convenient to carry, and can conduct interior test and on-site detection, thus being simple and convenient to operate. The method can conduct test on interior simulation of different bridge floor treatment conditions, different bonding layers, and mixture paving structures of different paving layers, is accurate in measurement result, comprehensively consider the area and torque size of the test piece, and ensure that the measurement result is complete, and strong in integrity.

The invention relates to the field of credit card finance, in particular to a cash-out detection method and apparatus. The method comprises the steps of obtaining attribute information and transactionrecord information of a to-be-detected merchant, wherein the attribute information comprises a merchant type of the to-be-detected merchant; then according to the merchant type of the to-be-detectedmerchant, determining a normal sample merchant with the same merchant type as the to-be-detected merchant in a preset database and obtaining attribute information and transaction record information ofthe determined normal sample merchant; and finally, according to the attribute information and the transaction record information of the to-be-detected merchant and the normal sample merchant, detecting whether the to-be-detected merchant is a cash-out merchant or not. The cash-out detection is performed from a merchant dimension, so that the detection method is more scientific and effective.

The embodiment of the invention discloses an intelligent contract security vulnerability detection method and device, a terminal and a storage medium, wherein the method comprises the following steps:constructing a gray image matrix according to a byte code file; transforming the gray image matrix into a gray image; extracting the features of the gray image and inputting the features into the preset security vulnerability identification model to detect whether there are security vulnerabilities in the bytecode file. The implementation of the application can detect the security holes existingin the intelligent contract, and can improve the detection accuracy of detecting the security holes at the same time.

The invention discloses a complex distortion generator for testing the stability of a compressor. The complex distortion generator comprises a steady-state total pressure distortion generator and a rotational flow distortion generator which are arranged in a compressor casing along the length direction, and is characterized in that the steady-state total pressure distortion generator generates different ranges of steady-state circumferential total pressure distortion through controlling distributed nozzles, and adjusts the air injection speed of the nozzles to change the steady-state total pressure distortion intensity; the rotational flow distortion generator adjusts the rotational flow distortion form through changing the angle of a rotational flow adjustment plate in a switching section of a rotational flow generator, generates three kinds of rotational flow distortion such as same-direction single vortex, opposite-direction single vortex and pair vortex, and can change the rotational flow distortion intensity through adjusting the pressure of an air pump and the openness of an electromagnetic valve. The complex distortion generator is simple in structure and convenient to operate, can generate individual steady-state total pressure distortion or rotational flow distortion at an inlet of the compressor conveniently, can also generate steady-state total pressure and rotational flow combined distortion, facilitates to carry out tests on influences imposed on the stability of the compressor by different forms of complex distortion, and is stable and reliable in operation.

The invention discloses a fault location method for vibration and noise abnormality of a GIS combined electrical appliance in a substation. A GIS combined electrical appliance, a vibration test analyzer and a noise test analyzer are arranged. The GIS combined electrical appliance includes a circuit breaker, a bus, a disconnecting switch, a voltage transformer, a current transformer, and a lightning arrester. The invention provides a method for testing the vibration and noise of the GIS combined electrical appliance in a substation, thereby realizing accurate and comprehensive test result and providing the systematic and scientific test results for the production, debugging, operation and maintenance personnel. A method for vibration and noise fault analysis and location is also put forwardby combining the test method, so that the vibration and noise faults can be analyzed according to the test results to find out coherence of the key factors causing the problems and thus the fault location is realized. The fault location method has the high innovation; the blank in the field related with the vibration and noise of the current GIS combined electrical equipment is filed; and the safe and stable operation of the 110-kV substation equipment is guaranteed effectively and the high-efficiency maintenance is realized.

The invention discloses an ultrasonic wave phased array testing method for an internal defect at a bent axle R. On the basis of a conventional bent axle nondestructive testing process, the phased array testing method of a one-dimensional linear array probe with automatic deflection and focusing functions is applied to the detection of the bent axle, wherein a proper wedge block is additionally arranged on the one-dimensional linear array probe. The ultrasonic wave phased array testing method has the beneficial effects that the defect of the detection of a conventional process is solved, the internal defects at a shaft neck and an R corner by adopting one probe, the detection reliability and the detection efficiency are maximally improved; the defects of cracks, inclusion, pores and the like with sizes of above 1mm inside the shaft neck and at the R corner can be detected, and the internal defect of an arc at the bent axle R corner can be conveniently and effectively detected.

The embodiment of the invention discloses a user request detection method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining equipment data of a terminal sending a user request; constructing a feature set by adopting a preset score feature pair combined features extracted from the equipment data; inputting the feature set into a plurality of anomaly detection models according to the type of the feature set, obtaining a detection result for judging whether the user request is abnormal or not; and judging the detection result by adopting a preset judgment method so as to determine whether the user request is abnormal or not, and training the abnormal detection model to a convergence state by adopting a positive sample or negative sample feature set in advance, thereby carrying out security classification on the terminal through the feature set. According to the method, a feature set is constructed for text type equipment data with nominal attributes, an effective classification feature set can be mined, and the recognition accuracy is improved.

The invention discloses an automated test method and system for an intelligent router. The automated test method comprises the steps that the intelligent router downloads test resources from a server and reads and records various state parameter values in real time, wherein the test resources include a test page, a test file and a test resource description file; an automated test device is connected with the intelligent router through wifi and reads initial test strength, a test page list and a test file download list from the test resource description file of the intelligent router, wherein the test strength is the quantity of opened test threads, the test threads in the quantity corresponding to the initial test strength are opened, and all the test threads are in charge of performing circular access, and download or upload operation on all the pages in the test page list or all the files in the test file download list. The automated test method and system for the intelligent router belong to the field of the network communication technology. By means of the automated test method and system, automated test can be performed on page access speed, file download or upload speed, stability under pressure and the like of the intelligent router.

The invention discloses a modeling method for turbine blade pneumatic-dehumidification-cooling test. The modeling method comprises a turbine blade pneumatic test modeling method, a turbine blade dehumidification test modeling method and a turbine blade cooling test modeling method. The turbine blade pneumatic test modeling method comprises three processes of pneumatic test structure similarity modeling, pneumatic test flow similarity modeling and pneumatic test result modeling conversion. The turbine blade dehumidification test modeling method comprises three processes of dehumidification teststructure similarity modeling, dehumidification test flow similarity modeling and dehumidification test result modeling conversion. The turbine blade cooling test modeling method comprises three processes of cooling test structure similarity modeling, cooling test flow heat transfer similarity modeling and cooling test result modeling conversion. By the adoption of the modeling method, the test cost and the test period can be greatly reduced, and then the product research and development period of the turbine blade is shortened.

The embodiment of the invention discloses a user request detection method and device, a computer device and a storage medium, and the method comprises the following steps of obtaining a user request sent by a terminal, the user request comprising terminal equipment data; inputting the equipment data into a plurality of anomaly detection models to obtain a plurality of detection results for judgingwhether the user request is abnormal or not, the anomaly detection models being detection models which are trained to a convergence state by adopting a sample feature set in advance and are used forcarrying out security classification on the terminal through the feature set; and judging the detection result by adopting a preset judgment method so as to determine whether the user request is abnormal or not. The method is simple in judgment method, can identify the diversified abnormal scenes, and can cover more and more complex conditions along with increase of the sample size. In addition, adetection result can be obtained more comprehensively, and the accuracy of anomaly detection is improved.

The invention discloses an application vulnerability detection method and device, wherein the method comprises: converting an installation file of an application to be detected into a code file; acquiring description information of a specific function, wherein the specific function is a function for reflecting a specific behavior; determining in the cold file, first functions matching with the specific description information according to the description information, and detecting vulnerabilities of the application according to the first functions. Through the above technical scheme, the technical problem that a vulnerability detection scheme is low in efficiency with incomplete detection results is solved.

The invention relates to a green tea quality analysis apparatus based on an intelligent electronic nose system, and a method. In the prior art, detection on volatile gases in beverage samples is performed through human body organs, such that technical problems of subjective difference and harm on human body exist. A purpose of the invention is to solve the technical problems in the prior art. The apparatus comprises a gas collection unit, a gas sampling unit, a treatment unit and a control unit, wherein the gas collection unit comprises a gas chamber, a sample chamber, a first communication pipe and a second communication pipe, the gas chamber, the sample chamber, the first communication pipe and the second communication pipe form a loop-shaped circulation path, the gas sampling unit is connected with the gas chamber, the treatment unit and the gas sampling unit are connected, and a gas inlet mechanism, a gas outlet electromagnetic valve and the gas sampling unit are respectively connected with the control unit. According to the present invention, the electronic nose system is built, such that the detection result is comprehensive and objective, and hazard of sample gas on human health is avoided; and gas is subjected to circulation flow during gas sampling, such that gas mixing is uniform, and detection data is accurate.

The invention discloses a lithography detection graph and a lithography layout, wherein the detection graph comprises at least three sets of strip groups, the strip width and the distribution cycle inside each strip group are the same, the strip distribution cycles among the strip groups are different from one another; the layout with a plurality of detection graphs can realize the monitoring on the graphs of a plurality of sorts of concentration and improves the problem that the wafers are discarded or the finished product rate of the device is low because the prior detection graphs cannot detect the lithography effect completely.

The embodiment of the invention discloses an automatic driving simulation test method and device for a scene library, and the method comprises the steps: determining a traffic test scene based on a target scene template and a modification instruction corresponding to the target scene template, and enabling the modification instruction to be an instruction for modifying a scene element corresponding to the target scene template; triggering a test process corresponding to a preset test event if it is detected that the position relationship with the tested vehicle exists in the scene objects of the traffic test scene and the scene object of the test triggering condition corresponding to the preset test event is reached; and monitoring the behavior state of the tested vehicle in the test process corresponding to the preset test event, and obtaining a behavior state parameter corresponding to the behavior state of the tested vehicle so as to determine the test result of the tested algorithmof the tested vehicle through the behavior state parameter. Therefore, the performance of the automatic driving vehicle when the preset test event occurs can be tested in a simulation mode, the costis reduced, the actual loss is avoided, and the method has guiding significance for actual driving.

The invention discloses a device and a method for testing the impact resistance of a plastic pipe. The invention belongs to the technical field of pipe performance testing. The device comprises a device frame, and a supporting plate is movably mounted in the device frame; the top end of the supporting plate is fixedly connected with a C-shaped hanging rod; two electromagnets are fixedly mounted on the inner wall of the top of the device frame; two iron blocks are fixedly connected to the top of the hanging rod, a driving motor is fixedly installed at the top of the device frame, a bobbin is fixedly connected to the output end of the driving motor, a hanging rope is wound around the outer wall of the bobbin, a fixed pulley is fixedly installed on one side of the driving motor, and the hanging rope is in transmission connection with the fixed pulley. According to the invention, diversified test functions can be realized, adaptive adjustment can be carried out according to use scenes andimpact resistance requirements of different pipes, the test result is comprehensive, the structure is simple, the operation is convenient, and the test method is convenient to implement.

The invention discloses a bearing vibration measurement machine. The bearing vibration measurement machine comprises a rack, a raceway, a vibration measurement rod, a material placing frame and an automatic feeding mechanism, wherein the rack is provided with a worktable; the raceway is adapted to a bearing when the bearing is upright; the material placing frame is used for placing materials; a rotating body is arranged in the material placing frame and is provided with an interlayer used for placing the bearing; the vibration measurement rod faces the interlayer of the rotating body; a slidable sliding table is arranged on the worktable; the material placing frame and the vibration measurement rod are arranged on the sliding table; a vertical rotating motor is fixedly arranged below the sliding table; the output shaft of the rotating motor is connected with the material placing frame; a fixed table is arranged on the worktable; a rotary motor is arranged on the worktable; a friction disk is arranged on the output shaft of the rotary motor; the friction disk is positioned in front of the rotating body and faces the rotating body; the sliding table is connected with the fixed table through a tension spring; and the automatic feeding mechanism is positioned on one side of the head of the raceway. By using the bearing vibration measurement machine, the materials are conveyed by vibrating; the work efficiency is improved; the labor is saved; and the bearing can rotate at 180 degrees, so that enough test points are provided, and the test results are more abundant.

The invention discloses a differential privacy disclosure detection method and system for a to-be-published text of a social network. According to the method, various possible privacy disclosure waysare comprehensively and deeply analyzed; A current to-be-published text of a user is comprehensively considered. A multi-dimensional feature-based privacy disclosure detection convolutional neural network model is established based on the privacy disclosure detection convolutional neural network model, the aggregation effect of privacy information is fully considered, and omnibearing privacy disclosure detection is carried out according to the aggregation effect, so that the detection result is faster, more comprehensive and more accurate. According to the privacy disclosure degree obtained through two times of detection, difference is carried out to obtain the current text privacy disclosure condition. According to the privacy disclosure detection method and device, whether the privacy disclosure prompt is carried out or not is determined, the limitation that a traditional method needs to consider the privacy category is avoided, the complexity that text content is classified first and then privacy disclosure detection is carried out according to features extracted according to the category to which the content belongs in the traditional method is also avoided, and the privacy disclosure detection efficiency is improved.

The invention relates to the technical field of detection, and particularly discloses a mechanism for detecting an automobile fitting. The mechanism comprises a frame, the frame is provided with a first stepping motor and a second stepping motor, the output end of the first stepping motor is connected with a rotating plate, the rotating plate is connected with a telescopic cylinder, and the telescopic cylinder is connected with a vertical shaft; the internal of the vertical shaft has a hollow structure, the inner wall of the vertical shaft is slidably connected with a slide block, the sidewall of the vertical shaft is slidably connected with a plurality of slide rods perpendicular to the central axis of the vertical shaft, one ends of the slide rods are connected with first wedge-shaped blocks cooperating with the slide block, the other ends of the slide rods are connected with clamping pieces, and a first spring is connected between the adjacent first wedge-shaped blocks; the telescopic cylinder is internally slidably connected with a first piston, and the first piston is connected with a first piston rod for pushing the slide block; and the output end of the second stepping motor is connected with a telescopic portion, the telescopic portion includes a second wedge-shaped block, and the second wedge-shaped block is in threaded connection with a friction plate. The inventionaims at realizing the comprehensive detection of the wear resistance of the automobile fitting and improve the credibility of a detection result.

The present invention relates to a coal mine ventilator real-time fault diagnosis and early warning device based on a virtual instrument development platform (LabVIEW), including an integrated industrial computer, a vibration signal detection module, an ARM processor, a stabilized power supply module, an SD storage module, and a USB interface chip. The vibration signal detection module processes the detected vibration signal and transmits it to the A / D analog-to-digital converter of the ARM processor, and the ARM processor transmits the processed digital signal to the integrated industrial computer through the USB interface chip or stores it in the SD storage module . The LabVIEW platform of the integrated industrial computer calls the algorithm program in MATLAB through the MatlabScript node, and performs wavelet denoising filtering, CEEMDAN feature extraction, Hilbert transform, and improved support vector machine classification and recognition on the fan vibration signal transmitted to the industrial computer. , the final result of fault diagnosis is displayed on the front panel interface, and the early warning module is called to sound and light alarm for fault information, and sound and light early warning for hidden faults. The device has good real-time performance, high openness, friendly man-machine interface and high reliability.

The invention relates to the technical field of hyper-fusion, in particular to a version upgrading test method and device. The method comprises the steps of receiving an instruction which is sent by atest terminal and carries a target upgrading strategy item, installing a system installation file of a target version based on the target upgrading strategy item, and completing the system installation of the target version, wherein the test terminal stores system installation files of a plurality of historical versions; and the upgrading strategy configuration file comprises an upgrading strategy item corresponding to each historical version; receiving a test cluster initialization instruction, completing cluster initialization, receiving a service deployment configuration file sent by the test terminal, and performing service deployment based on the service deployment configuration file; receiving an upgrade instruction sent by the test terminal, obtaining a corresponding upgrade package based on the upgrade instruction, performing version upgrade processing based on the upgrade package, and recording an upgrade test result; and when it is determined that the test operation is executed for each upgrading strategy item, determining that the test is completed, and generating a corresponding upgrading test result.