673 results about "Field tests" patented technology

The present disclosure provides a method for measuring flow velocity of multilayer groundwater using distributed optical fiber with point-source active heating, comprising: setting and optimizing field test parameters; conducting a background temperature monitoring test; performing a point-source active heating distributed temperature measurement test, including conducting multiple rounds of heating tests; denoising the obtained multi-point source thermal plume attenuation signal data of the groundwater; searching for the peak value of temperature-permeability curve based on an automatic multi-scale peak search algorithm; performing secondary processing on the peak data; estimating the groundwater flow velocity. The method of the present disclosure solves the problem that the existing groundwater flow velocity measurement technology cannot simultaneously measure multiple points and multiple layers, and it can avoid groundwater contamination during the measurement process.

The invention discloses a spherical crown dome horizontal circumference drilling and blasting parameter model optimization construction method, and the method comprises the steps: collecting geological, crustal stress, hydrological and structural plane data, building a three-dimensional geological information model, carrying out the working condition partitioning based on a surrounding rock quality evaluation index, and constructing a parameter probability distribution model and an uncertainty boundary of each partition. Therefore, precise space description and parameter variability quantification of the spherical crown dome construction area are realized. The method comprises the following steps: establishing a three-dimensional numerical model of a cavern group, integrating blasting power, seepage and stress multi-physical field effects by adopting a finite element-discrete element coupling method, introducing a surrounding rock deterioration constitutive model considering cumulative damage and unloading aging, calibrating key parameters through an indoor test and field trial explosion, and establishing a three-dimensional model of the cavern group. And the numerical model can truly reflect the mechanical property degradation track of the surrounding rock under repeated blasting disturbance.

The invention discloses a grouting parameter intelligent feedback method based on rock mass groutability evaluation, which comprises the following steps: collecting geological condition data, rock mass quality data, field test data and grouting process data, and constructing a rock mass groutability grading data set; an SMOTE algorithm is adopted to process data imbalance, input indexes are screened through Pearson correlation analysis, and data are normalized through deviation standardization; an XGBoost classification model is constructed, hyper-parameters are optimized through grid search, the model is trained through K-fold cross validation, and the rock mass groutability grade is evaluated; constructing an XGBoost regression model by taking a rock mass groutability grade, grouting construction data and monitoring data as input, and predicting the maximum value and the minimum value of grouting pressure and slurry density by using an optimal model; and generating a grouting parameter interval according to the predicted maximum value and minimum value, and dynamically feeding back to the grouting equipment to regulate and control parameters. According to the method, scientificity and accuracy of rock mass groutability evaluation and grouting parameter regulation and control can be effectively improved.

The invention discloses an intelligent injection molding product quality prediction method, which comprises the steps of collecting product structure information, mold parameters and injection molding equipment operation parameters, and constructing a scientific mold testing process window based on simulation analysis; designing an orthogonal experiment scheme to generate a simulation data set, and forming a multi-source data training sample in combination with field test model data; training a quality prediction model by using a distributed gradient boosting tree model, inputting process parameters, and outputting quality indexes such as product gram weight, volume shrinkage and buckling deformation; the model interpretability is realized through a shop value analysis method, and the influence weight of the process parameters on the quality indexes is evaluated; the model is deployed in a production control system or a cloud platform, the product quality is predicted in real time, a dynamic feedback mechanism is established, and when the error between actual detection data and a predicted value exceeds a threshold value, model retraining and parameter correction are automatically triggered to form closed-loop control. The method effectively improves the accuracy, transparency and engineering adaptability of quality prediction of the injection molding product, and can be popularized.

The invention belongs to the technical field of agricultural information, and discloses a rape variety environmental adaptability evaluation system based on machine learning. The system is composed of a data acquisition standardization unit, a regional environment feature modeling unit, a variety phenotype and pedigree association unit, a feature screening and model training unit, a regional adaptability scoring and decision-making unit, a dynamic learning and evolution updating unit and an evaluation visualization and variety recommendation unit. By performing standardization processing on multi-source data, format and dimension differences are eliminated, and a high-quality data foundation is laid for subsequent analysis. Fusing environment and variety bilateral characteristics, and enabling the model to capture environment influence and variety heredity characteristics at the same time. Advanced methods such as ensemble learning and a time sequence neural network are adopted, and the complex relation is accurately mined. Compared with a traditional field test and the prior art, errors are greatly reduced, the adaptation degree of the variety in different areas is more accurately judged, a scientific basis is provided for planting recommendation, and the yield and quality of the oilseed rape are improved.

The invention relates to the technical field of laser transmission characteristic testing, in particular to a medium-wave infrared laser long-distance transmission attenuation characteristic external field testing method and device. The method is an indirect measurement method, a diffuse reflection plate is set up at a designated position of a transmission path, laser reaching the diffuse reflection plate is quantitatively measured through a detector, in combination with a bidirectional reflection distribution function of the diffuse reflection plate, the target reaching power of the laser transmitted through the long-distance atmosphere is obtained, and the target reaching power is calculated by comparing the target reaching power with the laser output power of a transmitting end. The laser long-distance transmission power attenuation characteristic can be obtained, and the problems that in current laser atmospheric transmission attenuation characteristic measurement, a laser radar does not have a medium-wave infrared measurement method, and the power of a specified position of a transmission path cannot be directly received and measured through a detector due to the fact that the size of a light spot is too large after long-distance transmission in direct measurement are solved. The measuring device is simple in structure and can support indirect measurement to obtain the long-distance transmission power attenuation characteristics of the medium-wave infrared laser.

The invention provides an electromagnetic compatibility design method and device based on a vehicle-mounted audio system. The method comprises the following steps: determining a target level of electromagnetic compatibility; performing risk assessment on the device in the drawing to obtain a risk assessment result; selecting clock frequency points of signal radiation from the devices meeting the design requirements; performing simulation verification on the vehicle-mounted audio system, and judging whether the vehicle-mounted audio system reaches a target level or not; if not, optimization design is carried out; if yes, carrying out near-field testing on the whole machine; judging whether the near-field test reaches a target level or not; if not, optimization design is carried out; if yes, performing a far-field test on the whole machine; judging whether the far-field test reaches a target level or not; if not, optimization design is carried out; if yes, ending; through simulation optimization, it is ensured that the electromagnetic compatibility of the whole machine design can reach an expected target level, and therefore the quality and reliability of products are remarkably improved; the research and development period can be shortened, and the research and development cost is reduced.

The invention discloses a refined grain crop yield prediction method and system, belongs to the technical field of agricultural yield prediction, and solves the problems that the prediction precision is low and day-by-day prediction and overfitting cannot be realized when the crop yield of a small plot scale is predicted. The method comprises the following steps: obtaining food crop data, wherein the food crop data comprises meteorological data and crop emergence period data; dividing the prediction area into a plurality of parameter adjustment areas, and establishing a simulation algorithm based on a WOFOST crop mechanism model for each parameter adjustment area; performing day-by-day simulation by using a WOFOST-based crop mechanism model simulation algorithm to obtain a crop development process, a leaf weight, a stem weight, an ear weight, an overground part dry matter weight and a leaf area index; and taking the output data based on the WOFOST crop mechanism model simulation algorithm, the meteorological elements, the statistical yield data, the field test data and the agrometeorological observation data as the input of an LSTM algorithm, and obtaining a prediction result of the yield of the food crops. The method is suitable for real-time and refined prediction of the crop yield.

The utility model provides a test support device mass balancing driving system and a flow field test system. The test support device mass balancing driving system comprises an oil transportation header pipe, two oil transportation branch pipes and an oil return header pipe, each oil conveying branch pipe is connected with the oil conveying main pipe through a first stop valve, and a second energy accumulator is connected to each oil conveying branch pipe; outlets of the two oil conveying branch pipes are respectively communicated with two oil cavities of the hydraulic cylinder; one oil conveying branch pipe is connected with an overflow valve, the overflow valve is connected with the oil return header pipe through a first oil return branch pipe, the other oil conveying branch pipe is connected with the oil return header pipe through a second oil return branch pipe, and a second stop valve is arranged on the second oil return branch pipe. The balancing of the mass of the test model supporting part in the sinking and floating movement process of the flow field test can be realized, and the mass of the test model supporting part does not influence the model test. In addition, by adjusting the pressure of the balance energy accumulator, namely adjusting the pressure of the second energy accumulator, the frequency of balancing motion can be achieved, and broadband quality balancing from low frequency to high frequency can be achieved.

The invention discloses a proportioning optimization method for efficiently balancing a chemical oil displacement system. The proportioning optimization method comprises the following steps: S1, collecting and sorting experiment and field data of the existing chemical oil displacement system; the oil displacement effect can be effectively improved by continuously optimizing the ratio of the chemical agents through experiments and numerical simulation, so that the recovery efficiency of an oil field is improved, the oil-water interface characteristics can be improved, the fluid viscosity can be reduced, the oil fluidity can be improved through the reasonable ratio of the chemical agents, and by analyzing the cost benefits of different ratios, the oil displacement effect can be effectively improved. The chemical agent combination with higher economical efficiency can be selected, the expenditure in the chemical oil displacement process is reduced, the oil displacement effect and cost are comprehensively considered, the resource utilization efficiency of the chemical oil displacement system is improved by optimizing the proportion, and it can be ensured that the selected proportion is not only theoretically effective but also theoretically effective through laboratory verification and on-site small-scale tests. And the method also has practical significance in practical application.

The invention discloses a follow-up PIV boundary layer flow field test system and test method based on electrolytic hydrogen bubbles. The follow-up PIV boundary layer flow field test system comprises an integrated optical measurement module and a tracer particle generation module, the optical measurement module is arranged in the UUV and comprises a laser transmitter assembly, a sapphire prism and two imaging cameras which are symmetrically arranged, and laser sheet light forms a sheet light area on the outer surface of the UUV after being refracted by the sapphire prism; the tracer particle generation module comprises a cathode, an anode and a power supply unit, the cathode is a platinum wire array composed of a plurality of platinum wires arranged in the axial direction of the UUV, and the platinum wires are located at different heights away from the wall face of the UUV; the power supply unit selectively electrifies the platinum wire, independently adjusts the voltage, controls the number and frequency of generated hydrogen bubbles, and achieves the synchronous measurement of flow field information at different thickness positions of a boundary layer. According to the invention, boundary layer flow field in-situ follow-up measurement and synchronous fine measurement of different thickness positions under the condition of not changing the UUV shape are realized, and the device has the advantages of high integration level, small flow field disturbance, high measurement efficiency and the like.

The invention provides an operation condition setting system and method for test equipment for an offshore wind turbine generator, and belongs to the technical field of wind power generation. The field test module is used for carrying out omnibearing multi-parameter test on the offshore wind turbine generator; the field data acquisition module is used for acquiring and displaying the obtained test data in real time; the simulation analysis and control module is used for carrying out simulation analysis and controlling the working condition setting and simulation module; the working condition setting and simulation module is used for performing working condition simulation on the offshore wind turbine generator; and the test data management module is used for analyzing and managing the obtained simulation data. According to the invention, on the basis of directly obtaining real onsite real-time data of the offshore wind turbine generator, accurate simulation of the operation state of the offshore wind turbine generator can be realized.

A temperature field test system for a thermocouple calibration furnace (1) having a temperature uniformity block (8). In the system, two ends of the thermocouple calibration furnace (1) are sealed by means of positioning blocks (9); a standard thermocouple (4) is placed in a quartz tube (2), a reference junction of the standard thermocouple (4) is connected to one end of a wire (3) and is then placed in a glass test tube (5), an opening of the glass test tube (5) is sealed, the glass test tube (5) is placed in a reference junction thermostat (6), and the other end of the wire (3) is connected to an electrical measurement device (7); when empty-furnace temperature field test parameters of the thermocouple calibration furnace (1) are to be acquired, the quartz tube (2) axially passes through the thermocouple calibration furnace (1) and the positioning blocks (9); and when temperature field test parameters of the thermocouple calibration furnace (1) having the temperature uniformity block (8) are to be acquired, the temperature uniformity block (8) is arranged in the thermocouple calibration furnace (1), and an end portion of the quartz tube (2) is inserted into the temperature uniformity block (8). Thus, the placement position of the temperature uniformity block (8) in the thermocouple calibration furnace (1) can be determined, and whether the temperature field of the thermocouple calibration furnace (1) having the temperature uniformity block (8) meets the technical specification requirements is determined. Further disclosed is a temperature field test method for a thermocouple calibration furnace (1) having a temperature uniformity block (8).

The invention discloses a wind turbine fairing optimization design method, which relates to the technical field of fluid machinery and engineering, and comprises the following steps: a basic parameter acquisition and working condition defining step: collecting wind turbine model parameters, and measuring the wind condition of an operation area; the flow guide cover is divided into a windward section, a middle section and a wake flow section; a multi-objective optimization system construction step: determining aerodynamic resistance, structural strength, weight and wake flow influence optimization objectives; an optimization algorithm iteration solving step, wherein an improved non-dominated sorting genetic algorithm is adopted; a simulation verification and parameter correction step: selecting a scheme to perform CFD and finite element simulation; and a physical prototype manufacturing and performance testing step: manufacturing a prototype, and carrying out wind tunnel and field testing. The design efficiency of the air guide sleeve is improved, systematicness is optimized, pneumatic, structure and weight multi-target balance is achieved, cross-model universality is improved, and the problems that traditional design is dependent on experience and unbalanced in performance are solved.

The invention discloses an aqueous medium interval charging and detonation control method for improving strip mine blasting efficiency, which comprises the following steps: S1, according to strip mine rock properties and blasting requirements, determining blast hole parameters, and adopting an aqueous medium as an axial interval medium to carry out axial non-coupling charging to form a specific aqueous medium interval charging structure; s2, through a field test, an aqueous medium interval charging structure blasting test is carried out under different unit consumptions, and the optimal unit consumption of strip mine aqueous medium interval charging structure blasting is determined; s3, a hole-by-hole delay detonation method is adopted, precise delay detonation is achieved in combination with a digital electronic detonator, and reasonable delay detonation time is calculated according to the rock blasting and crushing principle; and S4, monitoring a blasting vibration signal by using a blasting vibration meter on a blasting site, and adjusting blasting parameters in real time according to a monitoring result. The method has the effects of improving the blasting crushing effect, reducing the explosive unit consumption, reducing the blasting harmful effect and improving the mining efficiency.

The invention discloses a non-uniform sparse sampling single-section near-field test system and method, and belongs to the technical field of test. According to the method, the single-section radiation field is expressed in a matrix form, the unknown transmission coefficient is solved from the system of linear equations through an inverse matrix method, and the defect that a traditional single-section near-field test method based on fast Fourier transform depends on the distribution uniformity of near-field samples is overcome; under the assumption that antenna transmission coefficients have sparsity, a compressed sensing technology is introduced, L1 norm minimization constraint is applied to a transmission coefficient vector q to ensure the sparsity, and under the condition that the number M of single-section near-field samples is smaller than the number J of unknown coefficients, the transmission coefficients can be solved from an underdetermined linear equation set; according to the invention, a non-uniform sampling-based single-section near-field test method is realized, and the flexibility of a sampling mode is improved; the number of sampling points and the scanning time are reduced, and the testing efficiency is improved; and the far-field reconstruction precision is higher.

A memory built-in self-test (BIST) controller, corresponding to a partition BIST controller, is configured to control memory testing in one or more corresponding static random access memories (RAMs) and has a first corresponding register configured to store a failure indicator for each of the one or more corresponding RAMs and a second corresponding register configured to store an uncorrectable failure indicator for each of the one or more corresponding RAMs. The partition BIST controller is configured to generate, based on the first and second registers of the MBIST controller, a first in-field test status indicator which indicates whether a failure occurred during memory testing of any RAM corresponding to the partition BIST controller and a second in-field test status indicator which indicates whether an uncorrectable failure occurred during the memory testing of any RAM corresponding to the partition BIST controller.

The invention relates to the technical field of dredging engineering, in particular to a trailing suction dredger fine particle loading efficiency optimization method, which comprises the following steps: through numerical simulation and field test, determining the influence rule of factors such as sediment particle size, cabin entering concentration, cabin entering flow, cabin entering height, mud cabin structure, overflow cylinder and energy dissipation box arrangement and the like on fine particle sediment loading efficiency; according to a numerical simulation result, parameter sensitive factors are defined, meanwhile, sensitive factors of all influence factors are calculated and sorted, main factors influencing the loading efficiency are determined, and a corresponding optimization design scheme is provided based on an analysis result of the influence factors, so that the loading efficiency of the fine-particle sediment is effectively improved, and the loading efficiency of the fine-particle sediment is improved. According to the technical scheme, quantitative control over the loading overflow time is achieved, the loading earthwork volume is increased, and overflow losses are reduced.

The invention provides a method for controlling an ultrasonic guided wave propagation mode in a steel rail based on an excitation mode, which belongs to the field of nondestructive testing, and comprises the following steps: constructing a semi-analytical finite element model through geometric parameters and material parameters of the steel rail, and then determining an incident angle, an excitation position and a signal phase difference; and establishing a three-dimensional finite element model according to the determined incident angle, excitation position and signal phase difference, and calculating and verifying an excitation control effect. According to the method for controlling the propagation mode of the ultrasonic guided wave in the steel rail based on the excitation mode, the mode of controlling the incident angle, the excitation position and the signal phase difference is adopted, the excitation efficiency of a target mode is improved, generation of a non-target mode is restrained, noise signals can be reduced in a field test, the detection precision can be improved, and the method is suitable for popularization and application. Good application prospects are realized.

The invention relates to the technical field of soil physical parameter in-situ measurement, and discloses a soil layer natural water content portable intelligent measuring instrument based on multi-source sensing fusion, which comprises a composite probe assembly and an intelligent measurement and control host which are physically connected, the composite probe assembly is configured to be inserted into a soil layer to be tested to construct a multi-physical field test environment, and an electrical transceiving unit and an acoustic transceiving unit are integrated in the composite probe assembly. By constructing a cross physical field excitation and multiphase parameter collaborative decoupling mechanism, a multidimensional dynamic correlation model is established by using the thermosensitive drift characteristic of the sound velocity of a mixed medium during thermal disturbance and the transient step response of a dielectric constant under an acoustic radiation force field; the problems that the coupling influence of the water content and the volume weight cannot be distinguished and the conductivity of bound water and the conductivity of free water are difficult to separate in a traditional means are effectively solved, and four independent physical quantities including the volumetric water content, the in-situ dry volume weight, the bound water content and the actual conductivity of pore water are synchronously inverted through a single probe. And the decoupling precision of the equipment on complex multi-phase soil medium parameters is improved.

The invention discloses a water turbine local turbulence field prediction method, and relates to the technical field of water turbines. The method comprises the following steps: S1, data acquisition and preprocessing; s2, sparse measurement point feature extraction; s3, low-dimensional representation of the turbulent flow field; s4, carrying out double-model joint training; and S5, performing real-time prediction. According to the method, the global turbulent flow field prediction can be realized only by using the pressure / speed time sequence data of a small number of sparse measuring points in the water turbine runner, and an expensive full flow field experiment table does not need to be built or a dense sensor array does not need to be deployed. Compared with the traditional experimental measurement (the equipment cost is more than ten million yuan), the total investment of the sensor and the computing equipment is only ten thousand yuan, and the cost is reduced by more than 99%; meanwhile, the installation difficulty of the sensor in a high-flow-speed and high-pressure area is avoided, the existing monitoring point layout of a hydropower station can be directly adapted, the technology landing feasibility is remarkably improved, and the model architecture does not depend on a specific water turbine type and can be adapted to different types such as a mixed-flow type and an axial-flow type by adjusting grid parameters and training data.

The invention discloses a terahertz frequency band compact range testing system and a calibration method thereof, and belongs to the technical field of testing. The system comprises an integrated mobile platform which carries a signal generation device, a signal receiving and processing device, a focal length calibration mechanism, a feed source and a metasurface lens. The transmission-type metasurface is used for replacing a traditional metal reflecting face, the metasurface adopts the PCB plane machining technology, and the implementation difficulty is low; the metasurface is small in size and light in weight, a carried mobile platform can adapt to a more flexible test scene, the amplitude and phase of incident electromagnetic waves can be flexibly regulated and controlled by designing size parameters of the metasurface unit, and the position of a feed source can be automatically adjusted according to the test frequency for calibration.

The invention discloses a damage safety assessment method and system for a building service glass curtain wall, and the method comprises the steps: setting a plurality of damage conditions based on a glass curtain wall standard test piece, and building a function relation between the maximum panel deflection and the inherent frequency through a regression analysis method; calculating the maximum theoretical panel deflection according to specifications, substituting the maximum theoretical panel deflection into the function relationship to obtain a critical inherent frequency, and constructing a safety evaluation model according to the critical inherent frequency; and acquiring the actual inherent frequency of the curtain wall to be tested, and evaluating the damage safety state of the curtain wall according to the model. According to the invention, rapid and efficient safety assessment can be carried out on the active glass curtain wall without damaging the rubber material body, and large-area screening and regular inspection can be realized; field test provides real data, finite element simulation supplements multiple working conditions, and data accuracy and model universality are guaranteed; the obtained inherent frequency reflects the essential attributes of the structure, and the damage detection and evaluation sensitivity is high; according to the constructed evaluation model, the result is direct and reliable through comparison between a safety threshold value and actual measurement.

The invention discloses a self-adaptive test question generation method and device, a medium and equipment, and belongs to the field of test question generation. Multi-source learning data of a user is obtained and input into a user intention recognition model, and the learning intention category of the user is accurately determined. And according to the category, screening a matching template from a structured Prompt template library, and filling a slot in combination with user portrait data to generate a natural language Prompt. Then, knowledge fragments in the relay protection field knowledge base are retrieved and spliced through an RAG knowledge enhancement mechanism, an input sequence is formed, finally, a large language model is input to generate personalized relay protection field test questions, and the learning efficiency and experience are improved. The problem that the relay protection test questions cannot be accurately and efficiently generated in the prior art is effectively solved.

The invention discloses a loading structure optimization method based on stress wave analysis in open bench blasting. The method comprises the following steps: S1, performing rock mass blasting and stress wave theoretical analysis, researching a rock mass blasting rock breaking process and a breaking mechanism, deducing rock mass blasting mechanisms under different coupling media, and analyzing the influence of different coupling media on the blasting effect; and S2, calculating the initial delay detonation time according to the delay detonation rock blasting principle, and determining the optimal delay detonation time through numerical simulation calculation and field test demonstration. According to the method, a method combining theoretical analysis, numerical simulation and field test is comprehensively applied, a scientific and systematic charging structure optimization scheme is provided for open bench blasting, wide applicability and popularization value are achieved, progress of the open bench blasting technology can be promoted, and sustainable development of the mining industry is promoted.

The invention provides a method for evaluating the vibration compaction quality of an asphalt pavement. The method comprises the following steps: acquiring the internal acceleration of a pavement layer through finite element simulation or a field test; acquiring signal energy based on the acceleration signal; calculating an energy dissipation value through the signal energy, wherein the energy dissipation value reflects the energy required to be dissipated in the process of improving the unit compactness of the asphalt mixture in unit volume; and based on the relation curve of the energy dissipation value and the compaction degree, under the condition that the initial compaction degree and the energy absorbed in single-pass rolling are known, the compaction degree after compaction is completed is inversely calculated, so that the compaction degree and the compaction quality of the pavement layer are evaluated. According to the method, quantitative indexes are provided for the compaction effect, theoretical support is provided for optimizing the compaction process of the asphalt pavement, the influence of different rolling parameters on the compaction effect of the asphalt pavement, especially a middle surface layer, can be deeply known, and the method is suitable for popularization and application. And effective guidance is provided for compaction quality control in actual construction of traffic facilities such as roads, tunnels and bridges.

The invention discloses a salt mine sediment void petroleum and brine migration simulation and parameter optimization evaluation method, which comprises the following steps: obtaining physical characteristic parameters of salt mine sediment, petroleum and brine, the sediment parameters at least comprising void ratio and pore connectivity obtained through CT scanning; calculating an evaluation index based on a simulation result, and performing quantitative evaluation and feasibility screening on the migration process; if the optimal potential exists, parameter optimization and scheme iteration are further executed, and a simulation-evaluation-optimization closed loop is formed; and finally, checking the model through field test data. The method solves the problem that in the prior art, no means for simulating and evaluating the two-phase migration of the petroleum brine in the salt mine sediment gaps exist, the process can be quantitatively simulated, evaluated and optimized, and scientific, accurate and systematic technical support is provided for petroleum storage through the high-impurity salt mine sediment gaps.

The invention discloses an aerospace field test case generation method based on a knowledge graph. The method comprises the following steps: establishing a test field knowledge graph model comprising four layers of entities, namely a test item, a test case, a test process and a problem list; identifying test entities from a historical test document, and establishing inclusion, execution, generation and association relationships among the entities; filling the identified entities and relationships into the knowledge graph model to construct a knowledge graph, and optimizing the constructed knowledge graph; based on an input test item of a to-be-tested item, recommending a most relevant test case entity and a relevant test process and question list information thereof in the constructed and optimized knowledge graph; and inputting the recommended test case, test process and question list information into the large model to generate a structured test case text conforming to a project language style and a test environment. The invention aims to solve the problems of insufficient structuralization, weak reasoning ability and poor dynamic adaptability of the existing test case generation.

A test device tests conditions associated with a fronthaul in an Open Radio Access Network (O-RAN). The test device can field test an O-RAN radio unit (O-RU) installed at a cell site by emulating an O-RAN distributed unit (O-DU) in the O-RAN connected to the O-RU via the fronthaul of the O-RAN. The testing includes executing managing plane (M-plane) and synchronization plane (S-plane) messaging to test management session establishment, device setting testing, and master clock synchronization testing.