239 results about "Dynamic testing" patented technology

The invention discloses an automatic test case generation method and system based on a large model, and the method comprises the steps: multi-modal data fusion: receiving a natural language demand, a UML design drawing, an API document, a historical defect log and system monitoring data, aligning text and image features through a CLIP model, analyzing the interface constraint through CodeBERT, and carrying out the multi-modal data fusion; feature fusion is realized by adopting a cross-modal attention mechanism; a dynamic test scene modeling step: constructing an environment simulator based on reinforcement learning, and simulating high-concurrency, distributed abnormal and other complex scenes; and a layered test case generation step: generating a function test case, a boundary test case and an increment test case through GPT-4, GAN and LSTM respectively, and introducing an entropy evaluation model to quantify the effectiveness of the cases. According to the method, the multi-modal data is brought into the test case generation process for the first time, the test case generation time is shortened by 80%, the complex scene coverage rate is increased to 95%, the semantic matching degree reaches 92%, and the intelligent level and efficiency of software testing are remarkably improved.

The invention discloses a knowledge extraction and envelope coverage-oriented software vulnerability test method and related equipment, and the method comprises the steps: obtaining vulnerability key information of target software, and obtaining sensitive function features through defect dependence analysis and construction based on the vulnerability key information; performing semantic analysis on the analysis report and the code abstract associated with the sensitive function characteristics, screening to obtain a target sensitive function, performing path envelope reverse tracking on the target sensitive function, and constructing to obtain a target path envelope; and obtaining coverage information enveloped by the target path, and carrying out fuzzy testing on the basis of the coverage information in combination with the iteratively optimized variation sample. According to the method, through intelligent closed loop of analysis-positioning-testing-feedback-optimization, static analysis provides accurate guidance for dynamic testing, and the static analysis strategy is inversely optimized by the result of the dynamic testing, so that the maximum improvement of the testing efficiency and the vulnerability discovery accuracy is realized in limited testing resources, and the testing efficiency and the vulnerability discovery accuracy are improved. The method can be widely applied to the technical field of software security.

The invention relates to the technical field of radiator monitoring, and particularly discloses a radiator heat dissipation performance dynamic test system, which is characterized in that a heat source simulation body is arranged on a heat transfer interface of a radiator, and a high-fidelity dynamic electric power load is applied to the heat source simulation body to simulate an actual working condition; radiating a microwave detection signal to a space where the heat source simulator is located and receiving a multi-path scattering response signal; the three-dimensional dielectric constant dynamic distribution of the heat source simulation body is reconstructed by solving the inverse scattering problem fused with the space-time constraint; according to the material dielectric constant-temperature relation mapping, three-dimensional temperature field dynamic distribution is generated; and finally, intelligently identifying and extracting a migration track and a temperature change curve of the highest temperature point in the space from the continuous time sequence temperature field data, and taking the migration track and the temperature change curve as a direct evaluation basis for the dynamic heat dissipation performance of the radiator. According to the method, lossless, full-field, real-time visualization and quantitative analysis of the migration process of the dynamic hot spots in the hidden heat source are realized, and the authenticity of the dynamic heat test is improved.

The invention discloses a test system and method for generating capability evaluation based on a large model, and the method comprises the steps: S1, carrying out threat modeling, and generating a test case, including classifying a threat scene and generating an automatic test case, the generation content of the test case including generation of an adversarial sample and generation of a privacy test case; s2, a multi-dimensional test is executed, the multi-dimensional test comprises a dynamic test engine and real-time defense detection, and test indexes of the dynamic test engine comprise a sensitive information leakage rate, a malicious instruction execution rate and a prejudice index; s3, performing vulnerability diagnosis, including analyzing attention weight and tracing privacy leakage; and S4, performing verification and iterative repair, including collecting vulnerability samples, performing mixed training, adjusting a loss function and performing regression testing. Through threat modeling and attack scene classification, various potential attacks can be identified and covered, test comprehensiveness is ensured, neglected potential safety hazards can be found, and test effectiveness is improved.

The invention belongs to the technical field of compressor performance prediction, and particularly provides a method and system for determining a surge judgment critical value of a compressor based on multi-source data fusion. Comprising the steps that a compressor surge test system is built and operated, and a first surge critical value is calculated; obtaining multi-source historical data related to surge of the compressor, selecting characteristic variables to construct historical input vectors, and fitting the multiple regression model by using the historical input vectors to obtain a discrimination model; training the machine learning model to obtain a trained machine learning model; a real-time input vector is constructed based on data, collected in real time, of the to-be-monitored compressor, and then a second surge critical value and a third surge critical value are obtained; and fusing the first surge critical value, the second surge critical value and the third surge critical value to obtain a predicted surge critical value of the to-be-monitored compressor. According to the method, high-precision dynamic testing and historical data regression analysis are combined, and the actual value of the surge critical value is finally and quantitatively determined through multi-parameter coupling measurement and data mining.

The invention relates to the technical field of data processing, in particular to a linear motor positioning precision dynamic test and analysis method, which comprises the following steps of: controlling a linear motor to perform full-stroke reciprocating constant-speed scanning, synchronous high-frequency acquisition of positions, current instructions and speed data; resampling according to a fixed position interval space to generate forward and reverse current and speed sequences; utilizing the characteristic that the friction force directions are opposite to counteract the friction component, calculating the resistance characteristic value of each position by combining the two-way speed stability weight, and constructing a resistance topographic map; the magnetic cogging effect and the mechanical anomaly are decoupled through the space gradient and the statistical deviation, and the mechanical anomaly saliency is determined; and a current feed-forward compensation table is generated and written into a driver, and a fault is marked for a saliency threshold exceeding position, so that dynamic testing and analysis of positioning precision are realized. According to the method, the resistance component is accurately separated by combining the current algebraic operation and the bidirectional speed weight, the topographic map is constructed to decouple the tooth socket and the installation abnormity, and the dynamic test precision and the diagnosis practicability are improved.

The invention discloses a method for testing an electric power steering system assembly, and belongs to the technical field of automobile part testing. The technical problems that in an existing testing method, static and dynamic testing processes are separated, testing efficiency is low, and quantitative evaluation on key dynamic performance parameters is difficult are solved. According to the invention, a test tool comprising a simulation rack, a driving device, an encoder, a torque sensor and a data acquisition card is adopted, and a control and processing module automatically executes a continuous test process: firstly, performing a static assistance test on an assembly, and judging qualification; and if the test is qualified, the test is automatically switched to dynamic test, a torque command signal is sent to the assembly, an output shaft is driven to rotate forwards and backwards, a position and a feedback torque signal are collected, and dynamic response parameters such as a position dispersion error, power-assisted delay time and overshoot are calculated. The method is mainly used for comprehensive performance testing and quality evaluation of the electric power steering system assembly in the production manufacturing or maintenance after-sales link.

The invention provides a Beidou satellite navigation positioning terminal dynamic test system and method, and the system comprises a power divider which is connected with a high-precision navigation positioning antenna, and is connected with a standard global satellite navigation system high-precision positioning terminal and a tested Beidou satellite navigation positioning terminal at the same time. The signal receiving module is used for enabling the standard global satellite navigation system high-precision positioning terminal and the detected Beidou satellite navigation positioning terminal to receive consistent satellite navigation signals; the post-data resolving and processing computer is used for being connected with the standard global satellite navigation system high-precision positioning terminal and the tested Beidou satellite navigation positioning terminal and receiving and obtaining test data of the standard global satellite navigation system high-precision positioning terminal and the tested Beidou satellite navigation positioning terminal. And post-resolving processing is carried out based on the test data. The system is simple in structure, easy to deploy, reliable in test result and suitable for a dynamic test scene, and the positioning precision and the test efficiency are remarkably improved.

A CNN dynamic test case automatic generation method based on meta-learning guidance comprises the following steps: constructing a hybrid test architecture which decouples the whole system into two logic levels: a static knowledge base and a dynamic exploration engine; according to the static knowledge base, a global'vulnerability map 'is constructed by performing one-time and comprehensive offline static analysis on a tested network DUT, the dynamic exploration engine is composed of a guide network and a generative network, the engine performs coevolution under the guidance of the'vulnerability map', and the dynamic exploration engine performs dynamic exploration on the DUT. The task of the method is to carry out efficient targeted exploration with a clear target and scene synthesis in a fragile area marked on a map. According to the method, data dependence is broken through, unknown risks are explored, and seamless integration with an agile development (MLOps) process is achieved.

The invention belongs to the technical field of identity recognition, and particularly relates to an identity recognition method and system based on cross-domain multi-modal fusion dynamic footprints. Collecting plantar pressure data of a subject, wherein the plantar pressure data comprises a static footprint original pressure image and a dynamic continuous pressure frame sequence; preprocessing the plantar pressure data; constructing a dynamic footprint segment fusion image; training the preprocessed paragraph data through an image modal branch network and an action modal branch network to respectively obtain a static segment-level logarithm value and a dynamic segment-level logarithm value; jointly calibrating temperature scaling parameters, gating thresholds and fusion weights of the image modal branch network and the action modal branch network on the verification set, mapping segment-level logarithm values of the two branches into calibrated posterior probabilities, performing adaptive weighting according to confidence and distribution consistency to obtain a segment-level fusion result, executing individual-level aggregation, and obtaining a segment-level fusion result; and obtaining a final identity recognition result. And high-precision identity recognition under the conditions of static training and dynamic testing is realized.

The invention discloses an autonomous evolution type 5G protocol fuzzy test system based on a large language model, and the system comprises a protocol extraction unit which employs the large language model to analyze a 5G protocol specification document, and extracts structured protocol knowledge elements containing a message format, state machine logic and parameter constraints; the vulnerability analysis unit generates a potential vulnerability description list through big language model reasoning based on the knowledge elements; the test strategy generation unit drives a large language model to generate a targeted test case based on protocol knowledge, vulnerability description and historical test knowledge in the dynamic test knowledge base; the test execution unit executes the use case and captures a result; and feeding back an analysis result of the internalization unit, extracting a causal rule, generating new test knowledge and feeding back the new test knowledge to the knowledge base. According to the system disclosed by the invention, test targets and resources can be autonomously scheduled according to continuous updating of the knowledge base, so that the test process has an iterative optimization capability, and full-process automation and intelligentization of 5G protocol fuzzy testing are realized.

The invention belongs to the technical field of computers, and particularly relates to a dynamically configured cockpit host video test multiplexing method. The method aims at solving the problems that a traditional testing means is poor in universality, incomplete in coverage and low in automation degree. A structural equipment description file is constructed by analyzing a host technical document, an adaptive dynamic test configuration template is automatically generated in combination with a test case library, and flexible configuration of multi-channel video stream parameters, abnormal injection modes and time sequence logic is supported. A containerized virtual signal source is deployed on a universal computing platform, and an analog video stream conforming to an input specification is generated in real time. Through the equipment description driving and virtualization signal generation technology, the multiplexing capability and coverage integrity of the testing system are improved, efficient and automatic testing of multiple types of hosts is achieved, and the hardware cost and the deployment period are remarkably reduced.

The invention discloses a data leakage detection method and device, computer equipment and a storage medium, belongs to the technical field of data security, and is applied to sensitive data detection of a financial system or a health medical system. Firstly, the authenticity and complexity of a test sample are remarkably improved, various scenes such as format change, field splitting, encryption processing, noise interference and semantic camouflage are covered, and a complex attack environment can be effectively simulated; secondly, an adaptive field mapping and dynamic test template mechanism is introduced, so that test data can be flexibly adjusted according to different service scenes or detection products, and the test efficiency and scene adaptability are improved; and finally, through presetting various machine learning algorithms, automatically training to generate a high-precision sensitive data classifier, and realizing accurate identification of sensitive fields in unknown data. According to the method, a set of end-to-end sensitive data detection and evaluation framework capable of being automatically executed is constructed, and the method has the technical advantages of high efficiency, flexibility and intellectualization.

The invention discloses a composite energy storage offline dynamic test system and test method. The system comprises a flywheel energy storage unit, a compressed air energy storage unit, an energy management and cooperative control unit and a data acquisition and analysis unit. The flywheel energy storage unit is used for simulating dynamic working conditions of a power grid; the compressed air energy storage unit is used for executing charging and discharging and multi-mode operation under the dynamic power grid working condition simulated by the flywheel energy storage unit; the energy management and cooperative control unit is used for coordinately controlling energy interaction and operation modes of the flywheel energy storage unit and the compressed air energy storage unit according to a preset test target and working condition data; and the data acquisition and analysis unit is used for acquiring and synchronously recording key operation parameters of the energy storage unit in the test process in real time, and performing anomaly detection to generate a performance test report. A flywheel energy storage unit is used as a programmable virtual power grid, and an energy management and control algorithm is combined, so that high-precision off-line testing of a compressed air energy storage unit under a complex dynamic working condition is realized.

The invention belongs to the technical field of databases, and relates to a vector database evaluation method and system based on mixed search and a readable medium, and the method comprises the steps: generating multi-modal test data oriented to multiple application scenes according to a real data set; constructing a mixed query task capable of controlling the selection rate and the query correlation; according to the multi-modal test data, aiming at the mixed query task, loading a pre-calculated vector neighbor result, and realizing dynamic test of different selection rates and relevance in a vector database; key performance indexes of the vector database are calculated through dynamic testing, and the vector database is evaluated according to the key performance indexes. The method solves the problems of unreal data distribution, too simple hybrid query tasks and the like, greatly reduces the labor cost of vector database evaluation, improves the database performance analysis efficiency, and accelerates database performance evaluation, optimization and model selection of research institutions and enterprises.

The invention relates to the technical field of membrane scale inhibitor performance testing, in particular to a membrane scale inhibitor performance dynamic testing method and system. The operation condition of the same section of membrane element is simulated in the mode that multiple circulation periods are carried out, membrane inlet water is concentrated step by step, the frequency of a high-pressure plunger pump is reduced step by step along with the increase of the number of circulation periods so as to reduce the water inlet flow of a membrane assembly, and the recovery rate of the membrane assembly is synchronously adjusted to a proper set value in each circulation period; by monitoring turbidity data of an online turbidity meter on the membrane concentrated water side, when the turbidity of the concentrated water suddenly and abnormally rises, the scaling phenomenon can be judged to occur, a test end point is reached, and the periodic concentration cycle operation is ended. The technical problems that in the prior art, the actual membrane system operation condition cannot be simulated, the operation condition is greatly different from the actual scaling process, the experiment end point and the evaluation result are easily influenced by ion measurement errors, the operation is complex, the operation intensity is large, the reagent consumption and cost are high, and the test time is long are solved.

The invention discloses a battery dynamic characteristic test method based on optimization iteration, which comprises the following steps of: 1, executing a hybrid pulse power characteristic (HPPC) test, and collecting data such as current and voltage to establish a second-order RC model; 2, constructing a deep reinforcement learning (DRL) simulation environment by using parameter identification, defining a state, an action and a reward function, and training to obtain an optimal strategy network; 3, the deep reinforcement learning strategy network outputs the next action according to the current battery state, the action acts on the battery model to generate a new state, the new state is guided to generate a subsequent action, and loop iteration is carried out in this way to finally splice a complete test waveform; and comparing the dispersion of the performance indexes to verify the superiority in amplifying the difference and improving the identification precision. According to the method, the dynamic test waveform with higher identification capability can be generated, and the time and energy consumption cost required by battery evaluation and sorting are effectively reduced.

The invention discloses a flywheel energy storage offline dynamic test system and test method based on compressed air energy storage. A flywheel energy storage unit is used for executing charging and discharging operation under the simulated power grid working condition and receiving a dynamic performance test; the compressed air energy storage unit is used for providing the power supply / absorption capability of the simulated power grid for the flywheel energy storage unit in the test process; the energy management and cooperative control unit is used for cooperatively controlling energy flow between the compressed air energy storage unit and the flywheel energy storage unit according to a preset long-time-history complex dynamic power grid working condition curve; the data acquisition and analysis unit is used for acquiring operation parameters of the flywheel energy storage unit and the compressed air energy storage unit in real time and feeding back abnormal conditions recognized in real time in the testing process to the energy management and cooperative control unit; the compressed air energy storage unit serves as a controllable power supply / load, performance evaluation and optimization of the flywheel energy storage unit under the simulated complex power grid working condition are achieved, and the function of flexible switching of grid-connected / off-grid modes is achieved.

The invention discloses a dynamic test platform and a dynamic test method for a composite energy storage system based on cooperative interaction. The dynamic test platform comprises a flywheel energy storage unit, a compressed air energy storage unit, an energy management and cooperative control unit, a data acquisition and analysis unit and a grid-connected / off-grid mode main switch, the energy management and cooperative control unit is used for dynamically adjusting the running states and function roles of the flywheel energy storage unit and the compressed air energy storage unit; the data acquisition and analysis unit is used for acquiring full-dimension operation state parameters of the flywheel energy storage unit and the compressed air energy storage unit in real time so as to identify abnormal working conditions and feed back analysis results to the energy management and cooperative control unit, and a control strategy is optimized; and the grid-connected / off-grid mode master switch receives a switch control signal of the energy management and cooperative control unit so as to switch the operation mode of the composite energy storage system and perform electric energy exchange. High-precision and multi-mode dynamic testing between the two large energy storage systems is achieved, system performance can be evaluated, and a collaborative operation strategy can be optimized.

A system, method, and computer program product for virtually machine testing an electric machine (8). A test signature comprising parameter values measured during one or more static tests of the electric machine (8) is compared to a reference signature generated by performing a similar series of static tests on a reference machine (42). The reference machine is then validated by subjecting it to full load dynamic tests. The test signature and the reference signature can comprise a plurality of parameters each characterizing a physical property of the respective machine (8, 42) in one or more physical domains. The parameters are selected by comparing the test signature to the reference signature such that the electric machine (8) can be qualified for field operation, thereby avoiding the need for full load dynamic tests of the electric machine (8).

The invention relates to a dynamic testing method and system for embedded equipment, belongs to the technical field of software testing, and solves the problems of mismatching of testing requirements and hardware resources and low concurrency efficiency in the prior art. The method comprises the steps of obtaining a CI / CD variable and a to-be-tested source code, and determining a test task type; determining a target test case set according to the test task type and the to-be-tested source code; according to the case type, dividing the target test case set into test case subsets, and determining a subset type; starting a corresponding container for the test case subset; generating a test task list according to all the test case subsets and the hardware resource state table by utilizing a hardware resource allocation service of the container; based on the test task list, the container starts a thread for the corresponding hardware equipment, the hardware equipment is controlled to execute a test, and a test result is output. According to the method and the device, the test cases and hardware resources with adaptive performance are automatically, efficiently and dynamically selected based on the source code change condition.

The invention relates to the technical field of ultrasonic knife equipment, in particular to a method for detecting and determining a rubber coating point of a waveguide rod, and aims to solve the problem that the method for detecting and determining the rubber coating point of the waveguide rod is poor in effect. According to the technical scheme, the method comprises the following steps: obtaining an initial simulation waveguide rod structure diagram, and extracting a displacement diagram of longitudinal vibration of the initial simulation waveguide rod to obtain an initial '0' point location diagram; carrying out processing heat treatment according to the initial simulation waveguide rod structure diagram to obtain a bare waveguide rod, and testing static data of the bare waveguide rod, including a bare waveguide rod impedance value R; and taking the impedance value R as a reference value, testing a dynamic real-time impedance value R0 when the bare waveguide rod vibrates under the working frequency, if R-R0 is less than or equal to a preset value, making the bare waveguide rod by using the initial simulation waveguide rod structure diagram to continue testing, and testing dynamic test data of the bare waveguide rod by using the movement of the interference assembly part instead of positioning encapsulation. The theoretical deviation of pure acoustic simulation is reduced, and the cost of repeated mold opening verification is reduced.

The invention relates to the technical field of power semiconductor wafer testing, and discloses a power semiconductor wafer electrical parameter testing system and method, and the system comprises a dynamic testing device which is electrically connected with a wafer bearing device, a static testing device which is electrically connected with the wafer bearing device, and a wafer bearing device which is electrically connected with a switching device. The wafer bearing device is electrically connected with the static testing device, the dynamic testing device is electrically connected with the wafer bearing device, the switching device is electrically connected with the static testing device and the dynamic testing device, and the control device is electrically connected with the switching device and used for controlling the switching device to conduct the wafer bearing device and the dynamic testing device or conduct the wafer bearing device and the static testing device. Two types of tests can be completed by only using one test needle seat, and the two types of tests can be completed through one-time needle pressing, so that the damage to the wafer is reduced.

This invention discloses a dynamic testing machine for the joint strength of abrasive belts, relating to the field of new material testing technology. It includes a worktable with symmetrically fixed vertical plates on its left and right sides. A driving mechanism is installed on the worktable, driving the abrasive belt body to move left and right in an orderly manner. Clamping structures are symmetrically installed on the driving mechanism. This dynamic testing machine for the joint strength of abrasive belts, through the clamping structures and driving mechanism, can both achieve static tensile strength testing of the abrasive belt joint via traction by a first cylinder, accurately measuring the tensile strength at joint breakage, and drive the abrasive belt to reciprocate left and right via the driving mechanism, cooperating with a first friction mechanism and a second friction mechanism to achieve dynamic friction tensile testing. This perfectly replicates the motion state and friction of the abrasive belt during actual grinding, making the test data more valuable and providing a reliable basis for abrasive belt quality evaluation.

This application relates to the field of HVAC and building energy conservation technology, and discloses a method and system for testing air conditioning equipment. One specific implementation of the method includes: receiving target conditions for testing the air conditioning equipment; performing semantic path reasoning using a pre-established association model to determine a target load mode and target test dataset matching the target conditions, and generating a test script; executing the test script to drive the air conditioning equipment to operate under the target load mode, and collecting operating data of the air conditioning equipment during operation; and using the operating data to determine and output evaluation indicators for the air conditioning equipment, wherein the evaluation indicators reflect the air conditioning performance and operating energy efficiency. This implementation can generate dynamic test conditions that conform to the characteristics of real building use without relying on traditional static experimental conditions, improving test accuracy, efficiently completing the evaluation of air conditioning equipment performance and operating energy efficiency, and providing a reliable basis for the optimized control of air conditioning equipment.

This invention is titled "A Test Platform and Test Method for Dynamic Testing of IGBTs," belonging to the field of IGBT testing technology. It primarily provides a fully dynamic IGBT test platform. Its main features are: a test platform composed of a control unit, a main circuit unit, a frequency adjustment unit, and a power cycle control unit; the tested unit is two IGBTs equipped with thermistors; the two IGBTs are respectively mounted in a fixture platform with cooling function; a set operating current and operating frequency, alternately output from a DC power supply, are applied to the two IGBTs respectively; when the IGBT junction temperature reaches the set upper limit, the operating current of the IGBT is cut off, and the IGBT is cooled until its junction temperature reaches the set lower limit, and this cycle is repeated to complete the high-frequency power cycle test. This invention features simple operation and the ability to independently set the IGBT's operating current, operating frequency, and heat dissipation conditions. It is mainly used to evaluate the operating status of IGBT products under different current, frequency, and heat dissipation conditions in simulated IGBT application conditions.

The present invention provides a load-load testing machine capable of obtaining highly accurate deformation measurements over a wide range of excitation frequencies during dynamic testing. [Solution] The load testing machine 1 is characterized by comprising: a pair of specimen holding parts 12; a load generating part 13 capable of performing vibration operation on a specimen M11 over a predetermined vibration frequency range, with one of the holding parts 121 being the load-side holding part 121; a first sensor 14 capable of measuring the acceleration of the load-side holding part 121 in a first frequency range that occupies the high-frequency side of the vibration frequency range; a second sensor 15 capable of measuring the velocity or displacement of the load-side holding part 121 in a second frequency range that occupies the lower frequency side of the first frequency range while allowing partial overlap with the first frequency range in the vibration frequency range; and a deformation amount acquisition part 181 that acquires the deformation amount of the specimen M11 based on the measurement results of the first sensor 14 or the second sensor 15.

The application relates to a cross-size wind tunnel Mach number prediction method based on adversarial domain self-adaption, relates to the technical field of fluid dynamics testing and artificial intelligence cross, and comprises time sequence dynamic feature enhancement on source domain and target domain data, construction of an adversarial time sequence feature alignment network, which comprises: a bidirectional time sequence encoder for capturing bidirectional time dependence of a control quantity sequence; a dynamic domain discriminator for identifying dynamic differences of cross-size wind tunnel control responses; and a gradient inversion layer inserted between the bidirectional time sequence encoder and the dynamic domain discriminator, so as to form a gradient inversion adversarial mechanism, and during training, the gradient of the dynamic domain discriminator is multiplied by an adversarial strength, so as to force the encoder to generate domain-independent general features; a small sample hierarchical fine-tuning strategy is introduced, and the aligned features are predicted through a predictor; in the case that the amount of target domain data is significantly reduced, the prediction accuracy is greatly improved compared with a traditional model, and the data acquisition cost and time consumption of a large-size wind tunnel are significantly reduced.

This invention relates to the field of fluid machinery testing technology, and in particular to a performance testing system shared by circulating pumps and submersible pumps. The system includes a data acquisition and control unit, a drive unit, a load adjustment unit, and an intelligent control and analysis server, configured to perform: startup and intelligent identification, digital twin model construction and test planning, adaptive basic performance sampling, boundary performance exploration, real-time safety monitoring and prediction, synchronous acquisition of multi-source heterogeneous information, and digital profile generation and model training. Before physical testing begins, this invention pre-calculates key feature points under all operating conditions through numerical simulation. Based on these pre-calculated key points, the system can automatically generate a dynamic test sequence that balances safety and efficiency, enabling subsequent real-world testing to be targeted and precise, capturing the core performance framework of the pump with the fewest possible tests, greatly improving the scientific rigor and efficiency of the testing.

A method for synchronous excitation of multiple exciters relates to the field of dynamic testing and vibration control technology for large civil structures. The method includes the following steps: after constructing a unified time reference based on satellite navigation signals and a rubidium atomic clock, excitation amplitude and phase parameters are obtained based on the target modal requirements, and these parameters are sent to all exciter slave stations; the exciter slave stations generate a reference trajectory based on the excitation amplitude and phase parameters, enabling the exciter motor shaft angle to follow the reference trajectory in real time and output the target excitation; the phase error is obtained based on the measured excitation phase value and the reference trajectory, and then the motor angular velocity of the exciter is corrected based on the phase error. This invention solves the problems of startup phase error and long-term frequency drift in master-slave triggering schemes, ensuring synchronous start-up of all exciters. Combined with dynamic correction of the exciter motor angular velocity, it suppresses phase drift during long-term operation, significantly improving the excitation efficiency of higher-order modes and the clarity of the response signal.