42 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 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 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 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 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 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 application discloses a kind of Gauss fitting material data analysis methods based on multidimensional evaluation system, comprising the following steps: obtaining test data, pre-processing test data, obtaining the standard test data after pre-processing;The quality evaluation driven Gauss fitting image generation model pre-trained is input quality evaluation to the standard test data, and the quality evaluation driven Gauss fitting image generation model is updated by input quality evaluation, and adaptive Gauss fitting material analysis model is obtained;And by adaptive Gauss fitting material analysis model, standard test data is analyzed and output fitting image and analysis result.The application discloses a kind of Gauss fitting material data analysis methods and system based on multidimensional evaluation system, improve the stability and accuracy of fitting image generated in data analysis, reduce the defect of "re-fitting, light evaluation".

The utility model provides a friction coefficient detection device for thixotropic slurry, and relates to the technical field of pipe jacking engineering. The device comprises a moving device, the moving device comprises a pulley structure and a moving belt, the moving belt is arranged along the circumferential wall of a roller of the pulley structure to form a circulating moving system, a test sample structure and a standard test piece are arranged on the moving belt, the test sample structure is fixedly connected with the moving belt, and the standard test piece is arranged on the moving belt. The bottom of the standard test piece is in contact with the top of the test sample structure; the force measuring structure is connected with the standard test piece through a fixing device, when the pulley structure is moved, the moving belt and the test sample structure are driven to move, and friction is generated between the test sample structure and the standard test piece. According to the structure, the problems of inaccuracy and uncertainty of mud performance evaluation in engineering calculation and actual operation processes are solved.

The invention relates to the field of artificial intelligence, and discloses an equipment endurance test method and device, computer equipment, a medium and a program product. The method comprises the following steps: acquiring first target endurance influence information of target test equipment in each test stage, second target endurance influence information of the target test equipment after all the test stages are tested, and first standard endurance influence information and second standard endurance influence information of standard test equipment; detecting first difference information between every two pieces of first target endurance influence information in the same endurance test scene and second difference information between the first target endurance influence information and the first standard endurance influence information in the same test stage, acquiring third difference information between the second target endurance influence information and the second standard endurance influence information in the same endurance test scene; and generating an endurance test result of the target test equipment. By adopting the method, the endurance test result of the equipment can be accurately obtained.

The invention provides a multi-model comparison and tuning method and device for a referee model, and is applied to the technical field of artificial intelligence, and the method comprises the steps: carrying out the performance evaluation of each candidate referee model in a candidate referee model pool based on a preset standard test set, and obtaining a performance evaluation index set; screening the performance evaluation index set based on a preset performance threshold to obtain a preliminarily qualified candidate judgment model; applying a concurrent pressure test to the preliminarily qualified candidate judgment model to obtain a pressure test index set; performing multi-dimensional weighted calculation based on the performance evaluation index set and the pressure test index set to obtain a comprehensive score of each preliminarily qualified candidate judgment model; and deploying the optimal judgment model, monitoring a target index of the optimal judgment model in a running process in real time, and automatically adjusting and optimizing the optimal judgment model based on the target index. According to the invention, the reliability and stability of judgment model evaluation are improved.

This application provides a project testing method, apparatus, computer-readable medium, and electronic device. The method includes: acquiring test data for a target project during a testing period, analyzing the test data to obtain a true test curve for the target project within the testing period; determining a standard test curve corresponding to the target project; comparing the true test curve with the standard test curve to determine the test differences within the testing period; determining the current testing period based on current time information, and generating a test reference corresponding to the current testing period based on the current time information and the test differences, so as to test the target project based on the test reference. The technical solution of this application allows for rapid and intuitive statistical analysis of test data, and simultaneously adjusts the test situation within the current testing period based on the true test data to obtain a more reasonable test plan.

The invention discloses a cognitive ability test method and system, and the method comprises the steps: firstly setting a standard test board, generating a space test model, a memory test model, a space-time linkage test model and a comprehensive evaluation model, and then calculating a space positioning score through a test result of the space test model, calculating a memory evaluation score through a test result of the memory test model, and calculating a space-time linkage evaluation score through a test result of the space-time linkage test model; and finally, inputting the spatial positioning score, the memory evaluation score and the space-time linkage evaluation score into the comprehensive evaluation model, and outputting a cognitive ability evaluation result. Compared with the prior art, the cognitive competence of the patient is comprehensively investigated from multiple aspects of time, space, space-time linkage and the like through the test model, the adverse effect of single dimension on the evaluation result is avoided, and therefore the accuracy and comprehensiveness of the final test result are improved.

This application relates to the field of servo control technology for CNC engraving equipment, and discloses a method, device, equipment, and medium for self-tuning servo parameters of an engraving machine. The method includes: determining a contour error that matches the standard test trajectory to characterize machining accuracy; determining a vibration index that matches the standard test trajectory to characterize machining stability; and determining a target servo parameter combination suitable for the current machining condition based on a fitness function constructed from the contour error and the vibration index, so that the servo controller of the engraving machine performs engraving processing according to the target servo parameter combination. This achieves autonomous decision-making throughout the entire process from state perception and performance evaluation to parameter self-optimization, thereby solving the technical problem of how to self-adjust according to specific working conditions during actual engraving machine processing.

This invention discloses an adaptive skill assessment method based on a perturbation mechanism, comprising: determining an initial ability score and a standard assessment score based on the answers to preset standard test questions; determining a perturbation difficulty coefficient based on the initial ability score; determining a target perturbation type based on the perturbation difficulty coefficient and the total number of perturbation types; determining perturbation test questions based on the target perturbation type and each preset standard test question; acquiring the answers to each perturbation test question and determining a perturbation assessment score based on the answers; determining a perturbation coping ability score based on the standard assessment score and the perturbation assessment score; and determining a comprehensive ability assessment score based on the perturbation coping ability score for each assessment skill dimension. This invention significantly improves the accuracy of assessing and identifying real-world practical skills through the assessment results of dynamically generated perturbation test questions. This invention also discloses a system, electronic device, and storage medium for implementing the above method.

The embodiment of the invention provides an adaptive detection rule optimization method and device, and the method comprises the steps: receiving an adjustment and optimization instruction and a current detection rule, and receiving adjustment and optimization data and a data type corresponding to each piece of adjustment and optimization data; inputting the tuning data, the data category and the current detection rule into the tuning model to obtain an updated detection rule, obtaining a standard test set, processing the standard test set through the updated detection rule to obtain a first test result, and processing the standard test set through the detection rule to obtain a second test result; displaying the first test result and the second test result on a display screen, receiving an adjusting and optimizing selection instruction, adjusting model parameters of the adjusting and optimizing model based on the adjusting and optimizing selection instruction, and repeatedly executing the above steps through the adjusting and optimizing model with the adjusted model parameters until it is indicated that updating of the detection rule is stopped. According to the method, the defects that the adjustment and optimization process of the detection rule is tedious and the expansibility is poor are effectively overcome, and the dynamic adjustment and optimization convenience degree and the dynamic requirement of the detection rule are remarkably improved.