56 results about "Standard test" patented technology

The invention discloses an integrated verification and test system and method for complex rules of a substation monitoring system, and the system comprises a rule editing module which provides a visual interface to support a user to edit the complex rules containing various types of variables and time sequence constraints; the analysis and verification module is used for performing grammar, variable conflict and business compliance multi-level verification on the rules; the intelligent test case generation module is used for automatically generating test cases covering normal, boundary and abnormal conditions based on the rule tree structure; the simulation test interface module converts the use case into a standard test script, submits the standard test script to a simulation tool for execution, and outputs the standard test script to a monitoring system through protocol conversion; the result analysis module is used for comparing an execution result with an expected result and generating a structured test report; according to the invention, full-process automation of rule verification and testing is realized, the verification efficiency is remarkably improved, and the test requirements of various transformer substation business scenes are met.

The invention provides a test case generation method and device, equipment and a medium, and is applied to the technical field of testing, the method comprises the steps that a test case configuration file of a target test environment is acquired, the test case configuration file comprises test case parameter templates corresponding to test points, and the test case parameter templates correspond to the test points; the test case parameter template is a parameter template generated based on case parameters of a standard test case of a test point and a test result; the test case configuration file is analyzed, a test case parameter template corresponding to a target test point is obtained and serves as a target test case parameter template, and the target test point is a test point of a to-be-generated test case parameter in the test points; generating target test case parameters based on the target test case parameter template and a parameter value range, wherein the parameter value range is a value range determined based on architecture definition; and generating a target test case based on the target test case parameter. In this way, the test case generation efficiency and accuracy can be improved.

The invention relates to the technical field of material detection and analysis, and discloses a pyrite classification test method, which comprises the following steps: crushing and grinding a to-be-detected sample to prepare a standard detection sample; performing parameter detection on the standard detection sample to obtain spectrum time sequence data, component analysis data and microscopic image data; extracting spectral dynamic characteristics from the spectral time sequence data, extracting component composition characteristics from the component analysis data, extracting microscopic morphological characteristics from the microscopic image data, and then generating a phase determination index and a core characteristic subset; determining a phase classification result through a tree classification decision model according to the core feature subset; and generating a confidence label of a phase classification result according to the phase judgment index, and performing parameter detection on the standard detection sample again when the phase judgment index is lower than a preset threshold value. And the pyrite classification efficiency and accuracy are improved.

The embodiment of the invention relates to the technical field of security assessment, and provides a security assessment method and device for a retrieval enhancement generation system, and the method comprises the steps: collecting target data used by the retrieval enhancement generation system; based on the target data, aiming at a plurality of attack types faced by the retrieval enhancement generation system, respectively creating poisoning data corresponding to each attack type; uploading the poisoning data to a knowledge base of a retrieval enhancement generation system to interfere with a working process of the retrieval enhancement generation system; performing multiple rounds of testing on the retrieval enhancement generation system by using the standard test question set to obtain a test result; determining the influence degree of the poisoning data corresponding to each attack type on the retrieval enhancement generation system based on the test result; the vulnerability and attacked features of the retrieval enhancement generation system are evaluated based on the degree of influence. Therefore, poisoning attacks of the retrieval enhancement generation system are carried out under stricter conditions, meanwhile, the concealment of existing attacks is improved, and the safety problem in the retrieval enhancement generation system is relieved.

This invention belongs to the field of developer testing technology, specifically relating to an automatic developer testing device and method. The automatic developer testing device includes a test developer tank, a rinsing tank, and a standard developer tank, all mounted on a worktable. The worktable is also equipped with a mechanical gripper and a moving mechanism. The test piece has a testing section and a standard section. The mechanical gripper holds the test piece and, with the aid of the moving mechanism, has the freedom to move back and forth between the test developer tank, the rinsing tank, and the standard developer tank. This invention integrates the testing section and the standard section on the test piece, allowing the same test piece to undergo sequential treatment with two different developers within a short time. This ensures that the environmental parameters, such as temperature, are essentially the same during the immersion process of the standard test piece and the test piece. Furthermore, comparison can be completed without replacing the test piece, reducing testing errors caused by individual differences in test pieces and facilitating subsequent comparative observation by staff.

The invention provides a test method and a test system, and the method comprises the steps: detecting the platform type of a target cloud platform, dynamically loading a corresponding adapter assembly according to the platform type, and converting an application programming interface of the target cloud platform into a preset standard test interface; dynamically configuring a test role permission matched with the target cloud platform based on the standardized test interface, and verifying the compliance of the test role permission; and under the condition that the test role permission is compliant, performing test operation on the interface elements of the target cloud platform according to the test role permission. Therefore, the maintenance cost is effectively reduced, the access speed of a new platform is accelerated, the problem of test data islands is solved, and the result comparability is remarkably improved.

The application relates to the technical field of data processing, and provides an excel-based automatic testing method and device, electronic equipment and a computer readable storage medium, wherein the method comprises the following steps: sending a target user query request; when receiving return information with a target user name, extracting a user report corresponding to the target user name in a preset baffle library according to the target user name, wherein the user report is in an xml format; formatting the user report in the xml format into a user report in a json object format; combining the user report in the json object format with solid fields and dynamic fields in an expected test result of a test case read from a preset excel table to form a standard test result; comparing the standard test result with a pre-acquired actual test result; and generating an automatic test report according to a comparison result. The main purpose of the application is to compare the generated standard test result with the pre-acquired actual test result to generate a test report, so that the test efficiency is improved.

The invention discloses a software testing method of a credential and credential system and electronic equipment. The method comprises the following steps: acquiring feature information of a to-be-tested credential system; according to the feature information of the credential and credential system and a preset hit standard of each standard test domain, determining a target standard test domain matched with the credential and credential system in each standard test domain; based on each target standard test domain, generating a test model corresponding to the credential system; and testing the credential system based on the test model. According to the method and the device, missing or redundancy of the test domain is avoided, the test quality is improved, quantitative evaluation of the test quality can be realized, and the test quality is effectively guaranteed.

The application discloses a kind of active suspension system model parameter adaptive calibration test bench test method and system, belong to vehicle active suspension test technical field, sensitive system parameters are filtered out by sensitivity analysis function, then sensitive system parameters are identified and calibrated, greatly reduce the amount of calculation in calibration process, improve the test implementation efficiency;Through time delay boundary calculation, the time delay feedback coefficient and time delay are optimized, the optimal time delay feedback coefficient and optimal time delay are obtained, and through adaptive adjustment, time delay compensation calibration is carried out using Smith prediction compensation model, which significantly improves the adaptive ability and compensation accuracy of time-varying time delay;In addition, standard test signals are applied to the target active suspension test bench test system, and time domain response data are collected to determine the tolerance according to the time domain response data to complete the parameter adaptive calibration of the active suspension system dynamics model.

The invention relates to the technical field of databases, the scheme can be applied to the fields of finance and medical treatment, and the invention provides an automation method and device for database exception testing, equipment and a medium, and the method comprises the steps: obtaining a predefined fault scene template; wherein the fault scene template comprises target fault object configuration information, load configuration information and fault type configuration information; determining a target fault object according to the target fault object configuration information; initiating a service load to the target fault object according to the load configuration information to obtain standard test data; injecting a fault into the target fault object according to the fault type configuration information to obtain real-time test data; and comparing the standard test data with the real-time test data to obtain a corresponding target test result. According to the embodiment of the invention, the abnormity test can be automatically carried out on the target fault object through the predefined fault scene template, and the automatic mode can effectively improve the test efficiency and the test accuracy.

The invention provides a data testing method and device, a computer program product and a data generation system. The method comprises the steps of obtaining a source data set; according to a Kolmogorov-Smirnov algorithm, the distribution type of the source data set is determined; an rvs generation function is adopted, a standard test data set conforming to the distribution type is generated according to the source data set, and the data size of the standard test data set is larger than that of the source data set; performing automatic testing by adopting the standard test data set to obtain a test result; and sending the test result to a financial institution, so that the financial institution performs business optimization based on the test result. According to the scheme, the problems that in the prior art, test data is generally generated based on a fixed data model, distribution corresponding to source data cannot be achieved, and the practicability of the generated data is poor are solved.

The invention provides a test case coverage statistical method, electronic equipment and a computer product, and the method comprises the steps: calling a pre-constructed knowledge base which comprises a mapping relation between different standard test cases and different statistical factor total points; test cases to be counted are obtained, target standard test cases matched with the test cases to be counted are obtained through screening in the knowledge base, and the similarity between the target standard test cases and the test cases to be counted is larger than a similarity threshold value; based on the mapping relationship, determining a target statistical factor total point number corresponding to the target standard test case; and determining a to-be-counted factor point number of the to-be-counted test case, and determining a coverage degree of the to-be-counted test case based on the target statistical factor total point number. According to the method, the test case coverage statistical processing is efficiently and accurately carried out, so that omission of demand points is effectively avoided, and a firmer technical support is provided for software quality assurance.

The application discloses a kind of cloud examination room control method, device, equipment and storage medium, the method includes: determining and the same target test question of pre-set standard test question difficulty and the content different target test question, and target test paper is generated based on the target test question;Monitor the behavior state when examinee answers the target test paper;According to the behavior state, it is judged whether the examinee exists cheating abnormal behavior, and according to the judgment result and the answer condition of the examinee answering the target test paper, control is carried out to cloud examination room.Through the above-mentioned mode, target test question is determined and target test paper is generated based on target test question, the behavior state when examinee answers is detected and it is judged whether there is cheating abnormal behavior, and then according to the judgment result and the answer condition control, compared with the existing examination room control method, the above-mentioned mode can accurately judge the behavior of suspected cheating in examination room, and can generate the test paper of different content and the same difficulty, further ensure the fairness of examination.

The invention provides a full-automatic intelligent testing method and system for a hand-operated direction valve for a hydraulic support, and belongs to the technical field of hydraulic support direction valve testing, and the method comprises the steps: calling a corresponding digital twinborn model according to the model information of a tested hand-operated direction valve, and obtaining standard test parameters to carry out the pretest of the tested hand-operated direction valve; calibrating the digital twin model through a parameter optimization algorithm; and executing a reversing performance test on the tested hand-operated reversing valve based on the calibrated digital twinborn model. Automatically switching test items according to a preset test sequence, reconstructing a corresponding hydraulic test loop, and solving an optimal control instruction based on the calibrated digital twin model and a safety constraint optimization algorithm; and after all the test items are completed, comprehensively analyzing the commutation performance test data and other item test data, and generating a test report. According to the invention, automatic adaptation and precise testing of different types of hand-operated direction valves can be realized, and the testing precision, efficiency and automation level are improved.

The embodiment of the invention provides a full-process intelligent software detection method and system based on a large language model, and belongs to the technical field of software testing. Comprising the following steps: based on a large language model learning industry standard and a historical document, carrying out comprehensive scanning and consistency checking on tested data; automatically extracting demand features and constructing a knowledge graph in the process of learning industry standards and historical documents by the large language model; analyzing the demand document through the natural language processing capability of the large language model; performing security testing on the software application API and the host according to the test case; identifying software code vulnerabilities according to a traditional scanning tool and a large model reasoning capability; and generating a standard test report based on the repair suggestion and the detection report. According to the full-process intelligent software detection method, a linked and synergistic detection system is built through a large language model, all links of software detection are comprehensively enabled, and full-process detection of software is achieved.

The present invention discloses a method, system and device for controlling the performance of flame-retardant fiber fabrics, and relates to the technical field of fabric performance detection. The method, system and device for controlling the performance of flame-retardant fiber fabrics include the following steps: S1, obtaining the wearing state data of flame-retardant fabrics and preprocessing the wearing state data of flame-retardant fabrics; S2, analyzing the unit heat-driven temperature response capability of the fabric in the wearing state based on the flame-retardant fabric wearing data after grid binding preprocessing, and performing combustion trigger judgment; S3, extracting the ignition time, quantifying the ignition deviation between the standard test and the wearing state, and correcting the temperature rise path of the test distortion grid to generate a wearing flame-retardant performance response data set; S4, evaluating the degree of distortion risk of the standard test in the wearing state, determining the dominant distortion source and performing response compensation, and outputting a credibility label and correction path covering the entire domain. This solves the problem of flame-retardant evaluation distortion caused by the disconnection between the standard test and the actual wearing state.

The embodiment of the present application relates to the technical field of psychological testing, and specifically discloses a psychological testing method and system based on electroencephalogram. The embodiment of the present application performs initialization environment adjustment and initialization electroencephalogram psychological testing according to preset standard environment data; after the initialization test passes, adjusts the psychological testing data according to standard test data to generate adjusted test data; performs psychological testing stimulation to obtain test collection data; verifies the process of the identification record information; after the process verification passes, filters the identification record information to obtain test record information, and performs directional transmission on the test record information. The initialization electroencephalogram psychological testing can be performed before the psychological testing, the process verification can be performed during the psychological testing, the test record information can be filtered and obtained after the process verification passes, the accuracy and reliability of the collected electroencephalogram data are ensured, and thus a basis is provided for the subsequent accurate analysis of the psychological state of the subject.

The invention relates to a test case generation model training method and a test case generation method, and the method comprises the steps: carrying out the first-stage reinforcement learning training of a preset model through employing a first training data set, and obtaining a first target model; wherein the first training data set comprises a first function specification sample of a plurality of function points and a first standard test case, and the preset model is used for generating a first prediction test case according to the first function specification sample; in the first-stage reinforcement learning training process, a target reward value is adopted to guide a prediction model to optimize a generation strategy, and the target reward value is determined according to a correctness reward rule, a format reward rule and a coverage rate reward rule according to a first function specification sample, a first standard test case and a first prediction test case. On the basis, the test case generation model obtained through training can reverse multiple test scenes such as a test scene, a test scene corresponding to a market problem and a test scene corresponding to a boundary condition.

The invention discloses a part interlayer fracture toughness test method, device and equipment and a storage medium, and the method comprises the steps: applying different loading forces to a standard test part based on a mechanical test system, and obtaining test data of each test point at different test moments through a digital image correlation technology DIC; performing top-hat transformation processing on the test image of each test point to obtain a processed test image, and obtaining the size of the precrack according to the processed test image; and calculating according to the precrack size and the loading force of each test point at different test moments to obtain the interlayer fracture toughness of the standard test part. The method comprises the following steps: on the basis of acquiring crack opening displacement and angle of a fiber reinforced composite material I-type interlayer fracture toughness test piece through DIC, synchronizing the dynamic change process of the length of a prefabricated crack extending along with loading of a load at different moments with a real-time load, and meanwhile, optimizing an acquired test image by combining a Top-hat technology, so as to obtain a test result of the I-type interlayer fracture toughness of the fiber reinforced composite material I-type interlayer fracture toughness of the fiber reinforced composite material I-type interlayer fracture toughness test piece. And the measurement precision of the interlayer fracture toughness is improved.

The invention provides a data outgoing verification method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining a standard test message which is a preset format test data packet corresponding to a log type; sending the standard test message to the tested system to enable the tested system to analyze the standard test message and generate log data; verifying a tested system and a first verification item of the standard test message for the first time to generate an initial verification result; under the condition that the initial verification result is successful, sending the log data to an outgoing server through the tested system; and verifying a second verification item of the log data of the outgoing server and the tested system to generate a verification result. According to the method, through automatic verification and three-party cooperative verification, the problems of low verification accuracy and long time consumption are solved.

The invention relates to a test case generation method and device, equipment and a storage medium. The method comprises the steps that first test information is acquired, the standardization degree of the first test information is verified, and multiple pieces of standard test information are generated based on the corrected first test information; extracting test key information in each piece of standard test information, and generating a key information list based on the test key information; inputting the key information list into a multi-task learning model pre-trained to a convergence state, and obtaining a plurality of pieces of corrected functional key information based on the multi-task learning model; and based on a corresponding relationship between the function key information and a preset automatic code, matching and generating a corresponding automatic test case. According to the invention, efficient conversion from a manual test case to an automatic test case in the automobile field is realized.

The application discloses a kind of vehicle gateway functional safety and network security horizontal contrast test method and system, method includes: according to relevant standard construction vehicle gateway standardization contrast test case library, and the input information of test case is configured, using HIL hardware-in-the-loop simulation test, by standard test method determine that function and performance satisfy the vehicle gateway equipment of relevant standard requirement, build vehicle gateway standard test component pool;At least two standard parts are selected from vehicle gateway standard test component pool, standard part and measured piece are configured according to the input information of test case in vehicle gateway standardization contrast test case library, after standard part and measured piece build vehicle gateway contrast test system, test according to the test case in vehicle gateway standardization contrast test case library, output the test result of measured piece.The application can be repeated to obtain more test evaluation results, increase the scientificity and reliability of test result.

The invention discloses an automatic testing method, system and device based on a visual flow chart and a medium, and relates to the technical field of automatic testing, and the technical scheme is characterized in that a corresponding test case is generated according to a test task needing to be executed by a tested product; analyzing a test task process node according to the test case, and selecting a target node component from a pre-created basic node component library according to the test task process node; wherein the target node comprises a flow starting node, one or more flow processing nodes and / or flow judgment nodes and a flow ending node; configuring a standard test case required by the test case according to the target node component and preset configuration information to obtain a test case list matched with the test task; and integrating the test case lists matched with the test tasks to obtain a test task list, and executing the test tasks according to the test task list to complete the automatic test of the test tasks of the tested product.

The utility model discloses a standard test block for calibrating a depth measurement dynamic error of a hamburger rut testing machine, belongs to geometric quantity measurement testing equipment, and aims to solve the technical problem of how to effectively calibrate the dynamic error of a depth measurement system of the hamburger rut testing machine. According to the technical scheme, the test block comprises a test block body, an arc groove part is formed in the center of the upper side face of the test block body, a zero reference plane is arranged on one side of the arc groove part, and identification scale marks are arranged on the other side of the arc groove part; spiral adjusting knobs are respectively arranged at the central positions of two end parts of the test block main body, and handles are respectively arranged at the central positions of two side surfaces of the test block main body.

This invention discloses a testing device for sensitive components of a linear temperature-sensitive fire detector, belonging to the field of fire detector testing technology. It includes a housing, a heating system, a temperature control system, and a heat dissipation system. The heating system employs a surface-mount heat conduction heating cavity and a matching heating device. The temperature control system is based on a PLC industrial control integrated computer. This invention designs standardized testing methods for both constant-temperature and differential-temperature alarm-type sensitive components. During the heating process, online thermal characteristic identification and predictive temperature control algorithms achieve precise regulation of the temperature rise rate. During the constant-temperature process, a Smith predictor combined with an adaptive PI algorithm achieves stable temperature control. Multiple safety protection functions are also included. This invention solves the problems of low temperature control accuracy, non-standardized testing procedures, inability to realistically simulate the temperature rise process, low testing efficiency, and potential safety hazards in existing testing methods. The testing process closely matches the actual working environment of the component, and the results meet standard testing requirements.

The invention provides a vibration environment interface crack propagation life prediction method which comprises the following steps: constructing an initial crack on a test piece to obtain a standard test piece; mounting a strain gauge on the surface of the standard test piece, wherein the strain gauge is vertically crossed with the initial crack; the method comprises the steps that a standard test piece is installed on a multi-axis vibration testing machine, multi-direction vibration excitation is input into the multi-axis vibration testing machine, strain time domain data of the standard test piece in the testing process are collected through a strain gauge, and inherent frequency data of the standard test piece are obtained through the strain time domain data; continuously monitoring inherent frequency data of the standard test piece, and when the inherent frequency data is reduced to a preset threshold value, determining that the standard test piece fails due to crack propagation; and determining the actual time or the actual cyclic load frequency of the multidirectional vibration excitation as the actual crack propagation life. According to the prediction method, complex multi-direction vibration borne by the standard test piece under the actual working condition can be restored, and test result distortion caused by single-axis sequential tests is avoided.

The invention discloses a defect detection system, a probe diagnosis method thereof and a computer readable storage medium. The defect detection system comprises at least two probes. The probe diagnosis method comprises the following steps: determining a to-be-diagnosed probe from the at least two probes; controlling the to-be-diagnosed probe to move to a probe maintenance area; wherein the probe maintenance area is provided with a standard test article, and the standard test article has no defect; and controlling the to-be-diagnosed probe to perform defect detection on the standard test article, and diagnosing the to-be-diagnosed probe according to a defect detection result. By means of the mode, automatic inspection can be efficiently carried out according to the probe to be diagnosed, the detection result can be automatically obtained, manual intervention is not needed, and the intelligent level of the defect detection system is improved.

The invention relates to the technical field of vehicle air conditioner testing, and discloses a quantitative vehicle air conditioner refrigerant leakage testing method, which comprises the following steps: estimating the total volume of a vehicle air conditioner test piece and a bracket to obtain a net volume initial value of a test cabin; assembling a test piece according to a drawing, putting the test piece into a test cabin, and establishing a calibration curve by injecting a quantitative refrigerant to accurately calibrate the net volume of the test cabin; then performing filling leakage detection, compressor running-in and steady-state permeation treatment on the test piece to enable the test piece to reach a real operation leakage state; then real temperature circulation and working condition start and stop are simulated, a 48-hour dynamic leakage test is carried out, and related data are collected; and finally, based on the net increment of the refrigerant concentration, calculating the annual leakage amount of the refrigerant under the test and real use conditions, and realizing quantitative result output. The technical problem that an existing quantitative standard test scene is disjointed with real use is solved.

The present application discloses an AI-based electric vehicle interface testing method, including: determining interface information of an interface to be tested in an electric vehicle, test requirement text information related to the interface to be tested, and a pre-trained AI model configured with interface prompt information, where the interface prompt information includes multiple standard test requirement features obtained by training an initial AI model using multiple standard test requirement information of sample interfaces; inputting the interface information and the test requirement text information into the pre-trained AI model, so that the pre-trained AI model selects standard test requirement features matching the test requirement text information from the multiple standard test requirement features, and generates and outputs a test program according to the interface information and the selected standard test requirement features; obtaining the test program and sending it to a test device to instruct the test device to test the interface to be tested, which can efficiently generate high-quality test programs to improve the test efficiency and test quality of electric vehicle interface testing.