124 results about "Consistency test" patented technology

The invention provides a communication protocol consistency test method and system. Key function points are extracted by analyzing a target protocol document; based on the key function points, a predefined first prompt template is applied to generate a test case prompt, a large language model is guided to generate a standardized test case corresponding to each key function point, and the first prompt template comprises k few-sample examples; dynamically retrieving a related code context from a pre-constructed long-term memory library through a retrieval enhancement generation mechanism, generating a code generation prompt by applying a predefined second prompt template based on the standardized test case and the related code context, and generating an executable test code based on the code generation prompt; and performing iterative optimization on the executable test code through the large language model, and generating a new code generation prompt based on a code execution result of the previous iteration and the retrieved related code context in each iteration. The test case can be automatically generated and dynamically adapted, and the test coverage rate, efficiency and flexibility are improved.

The invention belongs to the technical field of geographic information systems and PS-InSAR, and discloses a stress-strain-considered InSAR building deformation risk assessment method, which comprises the following steps: carrying out PS-InSAR processing on time sequence SAR image data to obtain a time sequence deformation result and carrying out precision verification; adopting a PS point correction method based on a self-adaptive building contour to screen out PS points of the building; selecting five indexes of building strain, building cumulative inclination amount, building cumulative settlement amount, building age and building structure material type; building risk assessment modeling is carried out by applying an analytic hierarchy process, consistency check and weight calculation are carried out, and the maximum characteristic value of a judgment matrix established by the five risk assessment indexes is calculated; grading the indexes of the model, performing risk assessment on each index, and drawing; and verifying a building risk assessment result in combination with actual dangerous house data. According to the invention, accurate evaluation of the deformation risk level of the building is realized.

The invention discloses a joint object attitude generation method based on physical perception and graph diffusion, and relates to the field of computer vision. The method comprises the following steps: firstly, reconstructing componentized geometric and physical attributes of an object from an image through a double-branch neural implicit network, and initializing a component connection relationship; then, a component relation graph is refined through kinematics fitting and time sequence consistency test, and attitude prior distribution of the component on the SE (3) manifold is inferred by utilizing a physically enhanced graph diffusion process; and finally, constructing a conditional diffusion model on the SE (3) manifold under the condition of prior and reconstruction information, and performing reverse sampling through a physically guided two-step reverse sampling framework to generate a group of diversified and physically reasonable joint object attitude hypothesis sets. According to the method, efficient generation of diversified and high-physical-rationality postures of a joint object is realized through tight coupling of physical rules and data driving generation.

The invention relates to the technical field of power distribution terminals, and discloses a power distribution terminal automatic joint debugging function integrity and reliability test system, which comprises a co-simulation module for performing closed-loop coupling on a virtual power grid and a tested terminal through deterministic time control and generating a reproducible working condition; the scene arrangement module is used for realizing automatic switching and rollback of cross-domain scenes based on transactional snapshots; and the communication module is used for executing a consistency test on multiple protocols and injecting delay jitter, packet loss and clock drift. The functional integrity and reliability test system for the automatic joint debugging of the power distribution terminal aims to solve the problems of lack of deterministic time control of cross-domain cooperation and insufficient guarantee of state consistency in a digital twin test method. The problems that a test result cannot be reproduced, crosstalk misjudgment is caused by state non-atomicity consistency during multi-scene switching, and faults are difficult to reproduce due to lack of time determinacy replay capability are solved.

The invention discloses a multi-protocol compatible intelligent test method and system for a power distribution automation terminal, and relates to the technical field of power distribution terminal test. The method comprises the following steps: acquiring basic information and historical test data of a tested terminal; automatically identifying and matching a communication protocol through a multi-protocol adaptive identification model, and generating a protocol conformance test template; according to the template, executing signal injection and collecting real-time response data, and calculating a terminal response matching degree and a protocol analysis accuracy parameter; and inputting the parameters into the test result evaluation model, and outputting a test result. Comprising an information acquisition module, a protocol identification and template construction module, a test execution and data acquisition module and a test evaluation module. According to the invention, automatic identification, standardized testing and intelligent evaluation of the multi-protocol terminal are realized, the testing efficiency, consistency and accuracy are improved, and the method is suitable for testing and diagnosis of distribution automation terminals of different models.

The invention relates to the technical field of deep learning, and discloses a deep learning prediction method and system for multi-source space-time lattice point data, and the method comprises the steps: obtaining live lattice point data, forecast lattice point data and static lattice point data, and carrying out the preprocessing, thereby obtaining uniform lattice point feature data; and generating missing mask lattice point data, generating confidence coefficient lattice point data according to observation coverage information, interpolation distance information, a time-space consistency test result and a forecast aging attenuation rule, and forming model input lattice point data. And constructing a training sample and generating forecast aging coding data. And constructing and training a deep learning prediction model, wherein the model comprises a space coding network, a time coding network and a forecast aging segmentation prediction network. In the training stage, confidence coefficient is used for weighting regression loss. In the reasoning stage, a release prediction result is obtained. According to the method, the learning stability of the multi-source grid point data under the missing measurement and filling conditions is improved, and the reliability of continuous value prediction and grading alarm probability under different prediction time periods is improved.

The invention relates to the technical field of human body kinematics parameter measurement, in particular to an adult joint motion range evaluation method and system based on a multi-view video, and the method comprises the steps: obtaining a multi-view video sequence of a testee, and generating an observation data set containing two-dimensional key point observation, a human body segmentation mask and camera parameter information; constructing an individualized joint geometric model containing a bone segment length, a joint center, a joint principal axis and a joint angle coordinate system based on the observation data set, and generating a three-dimensional symbol distance field; constructing a factor graph and performing incremental optimization solution, and outputting a joint angle sequence and an abnormal frame set; and determining an activity range interval and carrying out anti-fact consistency check, and if the validity is not satisfied, calculating an information matrix by a Jacobian matrix to generate a supplementary collection instruction to update a result, thereby improving robustness and verifiability.

Methods and systems for managing inference models are disclosed. To do so, a first inference model that is deemed both internally consistent and correct may be used to evaluate an internal consistency and a correctness of a second inference model hosted by a remote resource. An inference model consistency test may be performed using a set of prompts deemed consistent by the first inference model to determine whether the second inference model is internally consistent. An inter-inference model consistency test may be performed using the set of prompts to determine whether the second inference model is consistent with the first inference model and, therefore, is consistent. If a first information content of a first set of responses generated by the second inference model is consistent with a second information content of a second set of responses generated by the first inference model, the second inference model may be correct.

This invention provides a germline mutation detection method and system with a low false positive rate. The system is computer-executed and includes: first, performing a PCR repeat cluster consistency test on sequence alignment files generated from high-throughput sequencing reads, down-regulating the base count weights of inconsistent sites within the cluster; then, based on the sample-specific background error baseline, calculating the variation confidence index of each genomic site using an empirical Bayesian framework to obtain candidate single nucleotide variants (SNPs); obtaining candidate insertion / deletion variants through read clustering and physical verification of insertion fragment lengths; subsequently, performing a dual-engine cross-feedback iteration on the two candidate types until convergence, integrating and filtering, and outputting a structured mutation detection report. This invention significantly reduces the false positive rate of both SNPs and insertion / deletion variants while maintaining sensitivity, and improves the detection capability of complex insertion / deletion variants.

A computer-implemented method comprising the following steps: obtaining (600) an image timestamp indicating the time of acquisition, by a traffic control radar, of an image showing a vehicle's license plate, the image timestamp having been provided by a clock on the traffic control radar; obtaining (602) time synchronization data, said time synchronization data having been received by the traffic control radar during a predefined time interval including the image timestamp to temporally synchronize the clock of the traffic control radar with a time server; and consistency testing (604) of the image timestamp with the time synchronization data, the consistency test producing a test result indicating whether the image timestamp is valid or invalid. Figure for the abstract: Fig. 4

The invention relates to the technical field of data storage, and discloses a multi-platform dirty disk performance consistency testing method for a solid state disk, which comprises the following steps: acquiring configuration information of a to-be-tested solid state disk and recording a SMART data baseline; the method comprises the following steps: initializing a solid state disk, performing steady-state preprocessing in an empty disk state of the initialized solid state disk, and recording performance data at the moment as an empty disk reference; filling the dirty disk proportion of the solid state disk to a target value in a sequential or random write-in mode, applying a corresponding dynamic load model under the dirty disk proportion, and continuously performing performance sampling, recording performance data and generating a performance attenuation curve; and starting a CPU pressure test, a memory bandwidth test and a GPU load test at the background while running the solid state disk performance benchmark test. According to the SSD performance compatibility testing method and system, cross testing is carried out on two mainstream platforms of AMD and Intel, and the performance compatibility of the SSD in different system environments can be systematically evaluated.

The application discloses a hydrological station hour precipitation comprehensive quality control method and device based on multi-source data cross verification. The control method comprises the following steps: step (1), counting and analyzing the problem list of the hydrological station hour precipitation data; step (2), determining and giving the station information table of all hydrological stations, including the latitude, longitude, altitude data observation start and end time and precipitation observation accuracy; step (3), climatology limit value test, time consistency test and space consistency test; step (4), analyzing the integrity, quality condition and correctness of the hydrological precipitation data after quality control. The control device comprises a cloud PaaS unit, a cloud IaaS unit and a computing resource unit. The hour precipitation data of the Chinese hydrological rainfall station obtained by using the method or device of the application is fused with the meteorological data, so that the monitoring and identification ability of the extreme precipitation event is improved.

This invention relates to a test device and verification method for the space-ground consistency of a flexible spacecraft control system based on uncertainty quantification, belonging to the fields of intelligent manufacturing equipment industry and space-ground consistency verification technology. To address the problem of space-ground consistency verification and evaluation for flexible spacecraft, this invention includes an air-floating robot and a flexible component. The air-floating robot simulates the central rigid body of the flexible spacecraft, and the flexible component simulates the deployed solar panels. One end of the flexible component is connected to the upper support column of the air-floating robot, while the other end is free and equipped with a weight. Fiber optic grating sensors are distributed on the flexible component to measure flexible vibrations. A piezoelectric ceramic plate is installed at the end of the flexible component connected to the air-floating robot for driving and controlling the vibration of the flexible component. This invention evaluates the space-ground consistency of the designed flexible spacecraft control test system and, based on uncertainty quantification analysis, provides the impact level of uncertainty sources on space-ground consistency.

The embodiment of the invention provides a quantitative evaluation method and evaluation system for a potential target of a sea oil and gas field, and belongs to the field of geological exploration. The evaluation method comprises the following steps: determining a first assignment of each target evaluation parameter in a plurality of target evaluation parameters of the oil and gas field; determining a second assignment according to the target potential reserves of the oil and gas field; a weight coefficient of each target evaluation parameter is determined according to a relative importance judgment matrix among the multiple target evaluation parameters, and a consistency check value of the relative importance judgment matrix is smaller than a set value; and determining a target potential score value of the oil and gas field according to the first assignment, the second assignment and the weight coefficient. According to the method, the core evaluation elements and the weights occupied by the core evaluation elements can be objectively determined under the real background of the few-well condition on the sea, the hidden danger of manual intervention under a traditional method is reduced, the potential targets are reasonably and effectively evaluated, and finally the favorable trap targets of the sea area are screened out and sorted.

The present application relates to a kind of multi-wing folding wing deployment consistency test device, belong to detection equipment field, solve the measurement precision of existing folding wing deployment time detection equipment is lower, cannot accurately measure the problem of folding wing deployment time and synchronism.The present application includes: folding wing fixed component and wing bundle release component;Wing bundle release component includes: folding wing fixed pressing plate, in-place photoelectric sensor and folding wing fixed base plate;The folding wing mechanism to be detected is clamped and fixed between folding wing fixed base plate and folding wing fixed pressing plate;In-place photoelectric sensor monitors whether the wing of folding wing mechanism is deployed in place;Wing bundle release component includes: bundle release base, wing bundle release base plate, electric push rod and locking assembly;Locking assembly is arranged on wing bundle release base plate and locks or unlocks the wing of folding wing mechanism;Electric push rod is used to drive wing bundle release base plate displacement.The present application realizes the detection of the deployment synchronism of multiple wings of folding wing.

The invention provides a cache consistency test method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The method comprises the steps that a target CPU in the system-on-chip is restored to an original environment without consistency maintenance, and a first preset test value is written into a preset memory in the original environment; according to a plurality of consistency maintenance functions corresponding to the target CPU, determining a first parameter data structure set corresponding to the target CPU, executing each first parameter data structure, and obtaining a target value at a preset memory; and determining a consistency maintenance result of the target cache according to the plurality of target values, the first preset test value and the preset parameter data structure corresponding to the target CPU, so that the target parameter data structure which enables the target cache to have consistency can be screened and determined from the first parameter data structure set. And according to the screened target parameter data structure and the preset parameter data structure, testing the consistency of the target cache in the system-on-chip.

The application relates to a multi-channel radio frequency transceiver phase consistency test platform and method, which comprises a signal generator, a power divider, a transceiver, a baseband processing circuit and a multi-channel phase difference calculation module, can test the phase consistency of multiple channels of a single transceiver, and can also test the phase consistency of channels of multiple parallel transceivers; the number of the parallel multiple transceivers depends on the driving capacity of the clock and the logic signal; and the phase consistency of multiple channels of a single transceiver is tested. The application not only satisfies the phase consistency test of multiple channels of a single transceiver, but also can perform the phase consistency test of channels of multiple parallel transceivers.

The application provides a cache consistency test method and device, electronic equipment and a computer readable storage medium, including: obtaining a test sequence of a multi-core cache system; the multi-core cache system includes at least two processor cores and a multi-level cache; the test sequence includes operation instructions for each processor core; inputting the test sequence into a simulation model, processing the test sequence in turn through the multi-level cache of the simulation model according to a cache consistency protocol, and outputting a state checkpoint of the multi-core cache system; the state checkpoint is used to represent the current cache state of each processor core in the multi-core cache system; testing the cache consistency of the multi-core cache system according to the state checkpoint, and obtaining a test result. The embodiment of the application can improve the reliability and comprehensiveness of the cache consistency test.

The invention discloses a spliced infrared lens array imaging consistency test system and method, and mainly solves the technical problem that the multi-lens spliced imaging consistency cannot be directly tested in the prior art. The testing system comprises a light source assembly, a target wheel, a collimator, a lens supporting unit, a microscope, a detector, a plane mirror, a first displacement system and a processing unit. The light source assembly comprises a white light source and a blackbody light source. The target wheel is arranged at the light emitting end of the light source assembly and located on the focal plane of the collimator. The lens supporting unit comprises a second displacement system and a lens support installed on the second displacement system. The lens support is used for installing all to-be-tested lenses. The microscope and the detector are both mounted on the first displacement system, and a turntable is mounted at the bottom of the first displacement system; the detector is located at the image plane of the microscope and is connected with the processing unit. According to the invention, test reference errors caused by frequent lens replacement can be reduced, operation is simple, and measurement precision is high.

The application discloses a kind of golf leading type follow control system based on multi-modal monitoring, including multi-modal acquisition module, data pre-processing and confidence estimation module, target identity correlation module, scene semantic identification module, leading type target point generation and path planning module, behavior state machine control module, dynamic safety zone generation module, abnormal degradation and recovery module, display and interaction module and data closed loop optimization mechanism.The beneficial effects of the present application are: compared with prior art, through the multi-modal fusion of vision+wireless+trajectory consistency test, the robustness of following is greatly improved, and the complex scene is adapted.Combined with hole sequence semantics, leading type guidance is realized, and the efficiency of sports and venue is improved.Meanwhile, the site rules are integrated to ensure compliance, the dynamic safety zone is generated according to the user state to strengthen the swing safety, the explainable abnormal degradation mechanism is equipped to improve the practicability, and the scene adaptability of the equipment can be continuously enhanced through the use of feedback closed loop optimization model.

The invention provides a network protocol response behavior consistency test method based on a differential fuzz test. The method comprises the following steps: preparing an initial test case for a fuzzer instance, and performing a first round of fuzz test; the fuzzer instance adds the found valuable test case into a shared seed pool, and obtains the test case from the shared seed pool; mapping responses obtained after the protocol messages stimulate the servers with the same protocol and different implementations into a reduction response set through a reduction function, comparing according to mapping results, and determining a processing strategy of the responses; and evaluating the test effect. Therefore, reasons causing response differences are analyzed, and vulnerabilities in protocol implementation are more efficiently mined.

The invention discloses a flight method for an unmanned aerial vehicle under severe weather conditions based on multi-modal adaptive control, and aims to solve the problem that the reliability is difficult to evaluate online and the stable control is difficult to realize when a multi-modal sensor gradually degenerates or intermittently loses efficacy due to severe weather. The method comprises the following steps: obtaining and performing time alignment on at least two kinds of sensor measurement data, performing cross-modal consistency check based on an unmanned aerial vehicle model to obtain a residual error, and determining a meteorological category identifier according to airborne or external meteorological data; carrying out confidence judgment by adopting quantile thresholds updated by exponential decay according to meteorological categories, and generating health degrees and measurement error upper bounds of all modals; continuously adjusting the measurement noise covariance based on the health degree in the mobile horizon estimation, and introducing continuous adjustment of a slack variable and a penalty weight of the slack variable to obtain state estimation and an error boundary of the state estimation; and the error boundaries are mapped into the tubular radius predicted and controlled by the tubular robust model, control constraints are continuously tightened after hysteresis and filtering smoothing, the control quantity is solved and issued and executed, and the technical effects of controllable continuous degradation and stable flight of multi-modal fusion and control parameter linkage are achieved.

The invention discloses a provincial meteorological big data cloud platform-based sky data validity test method and system, and relates to the technical field of meteorological information. The method comprises the following steps of: extracting data configuration metadata in each business subsystem of a provincial meteorological big data cloud platform engine and data configuration information of an engine service interface of a national meteorological big data cloud platform; extracting feature values configured by data of the zhou data input and output module of the provincial meteorological big data cloud platform, and performing consistency check on the feature values to obtain a zhou data list of the provincial meteorological big data cloud platform; and performing consistency check on the feature values of the zhou service interface data configuration of the provincial and national meteorological big data cloud platforms to obtain a data list with inconsistent national and provincial data configuration. According to the method, the current situation of data resources of the province can be comprehensively found out and mastered, and the consistency of national and provincial meteorological big data cloud platform sky data configuration is improved; and the capability of quickly positioning and acquiring required data by the provincial users is enhanced, and a solid support is provided for data service.

The embodiment provides a consistency test exception detection method, an exception detection device and test equipment, which are applied to the technical field of communication and used for improving the exception detection efficiency of the consistency test. The consistency test exception detection method comprises the following steps: storing an input signal in the form of a data matrix based on the periodicity of the input signal of a device under test, wherein the elements of the data matrix are data in a data stream corresponding to the input signal; each row in the data matrix corresponds to one period or multiple periods of the input signal, or multiple rows in the data matrix correspond to one period of the input signal; decomposing the data matrix into a sparse matrix and one or more low-rank matrices, determining the positions of effective elements in the sparse matrix to determine the abnormal positions of the input signal, wherein the sum of the sparse matrix and the one or more low-rank matrices is equal to the data matrix, and the effective elements are non-zero or non-empty elements.

The invention belongs to the technical field of network information security, and particularly relates to an anti-fraud early warning method and system based on cross-modal behavior consistency check, and the method comprises the steps: collecting a cross-modal behavior sequence of a user, and extracting the semantic representation of the cross-modal behavior sequence; constructing a cross-modal behavior consistency test model, and quantifying the cross-modal behavior consistency probability of any two behavior modes in a time sequence; constructing a user behavior association network based on the cross-modal behavior consistency probability matrix; on the network, a depth map clustering algorithm considering node attributes and edge weights is adopted to identify potential fraudulent behavior clusters; aiming at each behavior cluster, extracting a cross-modal consistency violation mode of the behavior cluster, and mapping the cross-modal consistency violation mode into a risk element event; based on the time sequence and logic relation between the risk element events, constructing a dynamic risk propagation map, and identifying a risk source, a propagation path and a current threat level; and according to a map analysis result, generating interpretable early stage grading early warning. According to the invention, early discovery and accurate strike of novel collaborative fraud are realized.

The application discloses a kind of cascade channel water level prediction methods, comprising: obtaining original monitoring data and observation element information, generate minute level alignment data set;Based on the data set, through by path dependence characteristic driven conditional double-branch local model, hysteresis modeling is carried out, and local short window prediction is generated;Joint the data set and local short window prediction, through reconstructing cross-section hydraulic relationship to generate spatially consistent candidate prediction;Through by real-time hydraulic working condition dynamic adjustment, and built-in physical constraint working condition conditional meta-learner, local short window prediction and spatially consistent prediction are fused, and final water level prediction is generated.The application accurately describes short-time hysteresis effect by introducing double-branch structure, and guarantees the physical rationality of spatial profile through hydraulic composite distance, physical consistency test, cross-section loss function mechanism, improves the water level prediction accuracy and reliability under strong dynamic working condition such as gate peak shaving.

The application discloses an enterprise credit score intelligent evaluation method based on traffic travel consumption data, relates to the technical field of enterprise credit intelligent evaluation, and comprises the following steps: extracting multi-dimensional credit features from original traffic consumption records and constructing an enhanced behavior portrait, constructing a dynamic enterprise credit evaluation graph network, performing relationship reasoning and credit state diffusion calculation by injecting a feature vector, quantifying and conducting the risk of associated enterprises, performing time sequence evolution evaluation of the credit level based on the portrait, introducing an external risk label for constraint correction after generating a preliminary trajectory, starting backtracking verification by using historical score data flow, and finally outputting the credit score after consistency test. The method overcomes the limitations of isolated evaluation, can systematically identify associated risks, and generates a stable and logically self-consistent credit evolution result in the time dimension.

The invention provides a consistency test method, device, system and equipment and a readable storage medium, and the method comprises the steps: obtaining a reference signal sequence and a to-be-tested signal sequence, the reference signal sequence and the to-be-tested signal sequence are electric signals synchronously generated by the reference microphone and the to-be-tested microphone in response to the same preset audio test signal respectively; according to the reference signal sequence and the to-be-tested signal sequence, obtaining a transfer function from the to-be-tested microphone to the reference microphone; based on the transfer function, calculating amplitude-frequency response and phase-frequency response of the microphone to be tested relative to the reference microphone; and obtaining a consistency test result of the microphone to be tested according to the amplitude-frequency response and the phase-frequency response. The objective and quantifiable consistency evaluation method provided by the invention can identify the fine consistency deviation which cannot be found only by an absolute performance test from a more comprehensive performance perspective, and realizes the automatic evaluation of the microphone consistency.

The invention discloses an anti-deductive learning-based mine ventilator anomaly detection system and method. A data acquisition module records the running state of a ventilator in real time according to a set period; the data processing module preprocesses and standardizes the operation data; the model training and reasoning module is used for training a data reconstruction model by using the preprocessed data and generating a pseudo label, and establishing a reconstruction error statistical model of multivariate Gaussian distribution; and the logic reasoning module generates a logic label and performs consistency check on the logic label and the pseudo label, when the logic label and the pseudo label are inconsistent, anti-deductive correction is performed, and a correction label is generated and used for screening training data and guiding iterative training of an auto-encoder and an error modeling process, so that deviation caused by class imbalance is effectively relieved. The switching state recognition module is used for distinguishing the abnormal state and the switching state of the ventilator. And the result output module marks the state of the ventilator at each time point so as to accurately detect three different working conditions of normal, abnormal and switching of the mine ventilator.

The invention provides a site-based credibility evaluation method for a whole vehicle in-the-loop simulation system, and relates to the technical field of vehicle testing. The method comprises the following steps: constructing a credibility evaluation index covering two dimensions of virtual-real interaction fidelity and system real-time synchronization performance; performing consistency check on the virtual-real interaction fidelity evaluation index and the system real-time synchronization performance evaluation index to obtain a first check result aiming at the virtual-real interaction fidelity evaluation index and a second check result aiming at the system real-time synchronization performance evaluation index; performing dimensionless conversion on the first test result and the second test result to obtain a first dimensionless credibility score for the virtual-real interaction fidelity evaluation index and a second dimensionless credibility score for the system real-time synchronization performance evaluation index; and based on the first dimensionless credibility score and the second dimensionless credibility score, calculating the comprehensive credibility of the site-based whole vehicle in-the-loop simulation system, and outputting a credibility evaluation result.