25 results about "Consistency test" patented technology

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.

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 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 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.

This invention designs a method for screening traits in the quantitative classification of ornamental plant germplasm, mainly consisting of the following steps: trait selection and coding, intra-germplasm consistency test, inter-germplasm discrimination analysis, principal component analysis, and Pearson correlation analysis. The scientific validity and effectiveness of the trait screening technology system proposed in this invention are verified by including species in the population sample and evaluating the kinship clustering probability distribution between species, species and varieties, and varieties, respectively, thereby indirectly reflecting the effectiveness of the trait screening technology system proposed in this invention.

This application relates to the field of microservice testing technology, and provides a cluster consistency testing method, apparatus, device, and storage medium. The method includes: determining at least one version of the cluster and components to be tested based on a test application, and creating a test configuration based on the cluster and the at least one version; importing the test configuration, and connecting at least one node to be tested in the cluster according to the test configuration; backing up the operating system of any node to be tested, then uploading the cluster and the test configuration, and performing consistency testing on the cluster according to the test configuration. Through this method, consistency testing of multiple versions can be performed under a single test environment resource, ensuring the normal operation of multi-version cluster products while reducing dependence on test environment resources.

The application discloses a kind of structured thinking chain security evaluation methods and systems for large model generation content, the method includes the following steps: S1: input data preparation;Measured large model receives user query and outputs response content, the response content is used as the input of evaluation model;S2: the evaluation model uses structured thinking chain evaluation model, evaluation model carries out multidimensional analysis according to predefined XML template, generates structured reasoning chain;S3: structure causal model carries out logical self-consistency test to the structured reasoning chain, calculates the probability distribution of each dimension judgment;S4: calculate composite reward, according to composite reward function, calculate evaluation score, output final evaluation conclusion and structured reasoning chain.The white-box evaluation method of the application is combined by structured thinking chain (SCoT) and structure causal model (SCM), realizes that logic is self-consistent, and data utilization is high.

The application discloses a financial field distributed database transaction consistency test method, the method comprises the following steps: test basic environment deployment, preset test account and balance information through a test program, simulate the overall environment of the large operation pressure and the low reliability of the operation environment of the financial industry production environment, carry out large-scale transaction business operation, and record the problems caused by statistical analysis and failure; the test program is deployed on the application server through the terminal, the sql script of the corresponding database is configured, the test program configuration file is configured; the test program of the application server is started through the test terminal to test and check the test program running result. A general test method is provided for the transaction processing capacity in the distributed database selection test process in the financial field, and the transaction consistency verification is quickly and effectively carried out, and it is not necessary to design a test scene for each database transaction capacity to verify.

The application discloses a kind of based on time scaling equivalent shaft's submarine cable insulating material comprehensive aging evaluation method and system, and relates to submarine cable insulating material aging evaluation technical field.The existing method cannot realize the problem of acceleration and natural aging data equivalent alignment, multi-index evaluation contradiction, long evaluation period is solved.This application includes the following steps: obtaining multiple preset performance parameters of submarine cable insulating material after electric-thermal-power multi-physical field accelerated aging test, synthesizing comprehensive aging index after homogenization mapping and robust standardization processing, establishing the equivalent mapping of acceleration and natural service time by linear scaling coefficient, outputting life evaluation result or reliability warning information after consistency test.This technical scheme can accurately and efficiently evaluate the aging state and service life of submarine cable insulating material, and provide support for material selection, life evaluation and safety decision of submarine cable engineering.

The application discloses a kind of service supervision and automatic settlement method based on hardware trusted root.The system carries out hardware level signature and time authentication to key operation by mobile terminal hardware security area, generates tamper-proof trusted evidence chain;Through the preset sliding time window, the physical consistency test is carried out to the data of depth fusion GPS and inertial sensor, and the biological characteristics in the safety area are introduced as the final basis for decision when detecting abnormality, to realize active depth risk control;Synchronization model based on atomic operation log and logic serial number is used to ensure the strong consistency of offline business.Finally, according to the evidence chain and risk control result, the compliance settlement of the licensed payment institution is completed.

This invention discloses a data fusion method for industrial data quality consistency testing based on artificial intelligence, belonging to the field of industrial test data fusion technology. The method includes the following steps: performing cross-comparison operations on spatial positioning parameters and evolutionary correlation parameters in the residual multi-domain mapping sequence to determine whether there is asynchronous offset in the feature space of the residuals after AI reconstruction of multi-source industrial data; if asynchronous offset exists, forming a residual offset characterization parameter; jointly calculating the residual offset characterization parameter and the evolutionary correlation parameter to construct offset decoupling parameters and consistency correlation parameters, and determining the degree of residual offset based on the joint calculation results. This invention solves the problem of inconsistent judgment and inaccurate alignment processing caused by asynchronous offset of residuals after AI reconstruction of multi-source industrial data, achieving offset and correlation decoupling, accurate judgment, and highly reliable data fusion effects.

This invention proposes a method, device, and readable storage medium for testing the time consistency of digital therapy applications. Addressing the issues of the inability to simulate the time effects of real devices and the lack of clinical constraint verification in long-term digital therapy testing, this method parses configuration information to obtain a set of time attributes for treatment tasks; constructs a virtual timeline engine to run an independent simulated clock, using acceleration factors and superimposed clock drift to simulate time base deviation; employs system API hooks and middleware proxies to construct a transparent proxy layer, intercepting and redirecting the clock interface to achieve decoupled injection of the simulated clock and the absolute reference clock; and synchronously collects application-aware timestamps and real timestamps of trigger events during operation, automatically verifying time consistency based on clinical time-series constraint rules. This invention is primarily used for reliability verification and compliance certification of time-sensitive medical digital therapy software.

The application discloses a kind of base layer service data table structure and component construction method, it is related to data management technical field, comprising the following steps: S1, establish unified time baseline, and combine phase comb index and cross-source clock offset field, construct time sequence anchor point group;S2, under the constraint of time sequence anchor point group, generate breakpoint suspect graph, and construct breakpoint confidence matrix by mutual information gradient and arrival time residual;S3, based on the constraint of breakpoint confidence matrix, obtain causal playback chain, replay time sequence fragment, calculate gap width and drift direction.The application takes unified time baseline as core, constructs time sequence anchor point to identify breakpoint, combines causal playback to obtain repair prior, uses multi-source alignment and interpolation reconstruction continuous sequence, constructs guardrail using filtering and consistency test, finally realizes breakpoint repair and closed loop correction through time reversal and supplement, improves data integrity and time sequence stability.

A method and system for self-evaluation of digital image reliability based on feature point prediction consistency testing, relating to the field of sensor reliability self-evaluation. It addresses the problem that traditional reliability evaluation methods cannot directly determine the reliability of raw digital image data for navigation tasks. The method includes: receiving a digital image at the current moment from the sensor; extracting feature point information from the digital image at the current moment; calculating the potential positions of key feature points at the next moment based on the feature point information in the current digital image; and comparing the potential positions of the key feature points at the next moment with the actual digital image acquired at the next moment to complete the reliability self-evaluation. This invention is applied in the field of machine vision.

This application relates to a method and system for monitoring wear of machining tools based on deep learning. The method includes: acquiring multi-source sensor data of the machining tool and generating a real-time energy flow feature sequence through physical formula conversion; inputting the real-time energy flow feature sequence into a trained energy dissipation decoupling network model to obtain the instantaneous power contribution sequence of each energy channel; calculating the irreversibility confidence level based on the instantaneous power contribution sequence through a time-inversion consistency test, and multiplying it point-by-point with the power contribution sequence to obtain an irreversible damage power sequence; integrating and summing the irreversible damage power sequence from the start of machining to the current moment to generate a cumulative irreversible damage energy value; and identifying the real-time wear state of the tool through a predefined mapping table based on the cumulative irreversible damage energy value, and obtaining a wear prediction value through wear amount regression prediction. This method enables integrated monitoring of wear on machining tools.

This invention relates to a fuel injection ring flow consistency testing system and method, belonging to the field of engine component testing technology. The fuel injection ring flow consistency testing system includes a fuel supply regulating unit, a timing control unit, and a fuel collection unit. The fuel supply regulating unit supplies fuel to the fuel inlet of the fuel injection ring; the timing control unit includes a control valve and a timing controller. The control valve connects or disconnects the fuel supply regulating unit and the fuel injection ring; the timing controller is configured to set a preset duration and start timing when the control valve is opened, and stop timing when the control valve is closed. The fuel collection unit includes multiple fuel collection components. The fuel injection ring flow consistency testing system of this application connects or disconnects the fuel supply regulating unit and the fuel injection ring via a control valve, and controls the connection duration of both via a timing controller, ensuring that the fuel supply duration is strictly consistent across tests, thereby improving the repeatability and reliability of multiple fuel injection ring flow consistency test results.

Methods, systems, and devices are described for wireless communication. A user equipment (UE) can receive a beam sweep synchronization signal from a network entity. The UE can select a first beam pair from a set of beam pairs associated with a set of beam sweep synchronization signals. The UE can perform one or more free space spherical coverage measurements of a first antenna module based on selecting the first beam pair. The UE can calculate one or more blocked impaired spherical coverage metrics of the first antenna module based on the one or more free space spherical coverage measurements and a blocking transformation. The UE can calculate a predicted spherical coverage value of the UE in a blocked environment based on the one or more blocked impaired spherical coverage metrics of the first antenna module, and can calculate a consistency metric for the UE.

The application discloses a kind of railway positioning test method and system based on multi-source information, which comprises the following steps: multi-source test system plays analog satellite positioning signal, auxiliary positioning instrument terminal carries out positioning consistency test to train positioning, auxiliary positioning instrument terminal designs inertial navigation smoothing correction algorithm, corrects train inertial navigation information, completes initial positioning test, multi-source test system plays analog satellite positioning signal and spoof satellite positioning signal simultaneously, auxiliary positioning terminal designs spoof diagnosis algorithm, and completes final positioning test;The scheme realizes the positioning test of railway train by using multi-source information, judges the accuracy of railway train positioning by calculating consistency test coefficient, and designs inertial navigation smoothing correction algorithm to eliminate the deviation of inertial measurement unit. When performing final positioning test, a spoof diagnosis algorithm is designed to diagnose the spoof satellite positioning signal, improve the positioning accuracy of railway train, and further improve the accuracy of the entire positioning test method.

The present application belongs to the technical field of geotechnical engineering detection, and relates to a water conservancy engineering foundation rock vibration performance detection analysis method and system. The present application synchronously collects vibration signals by laying a sensor array, extracts slowness values, energy attenuation gradients and dispersion coefficients to construct a joint inversion equation set, identifies unstable regions based on the sign change of the phase cumulative residual of the closed triangular path, locks conflict nodes by combining the wave velocity spatial gradient with the consistency test of the geological structure dip angle direction, adaptively constructs a damping constraint update equation set using the node dispersion characteristics, iteratively solves until convergence to generate a rock mass vibration performance distribution map. The method solves the problems of insufficient representation of multi-dimensional characteristics of rock mass by single parameter inversion, spatial contradiction of parameter field caused by structural interference, and diffusion and pollution of abnormal data in iteration, realizes the collaborative inversion of wave velocity, attenuation and dispersion parameters, and improves the spatial continuity and geological reasonableness of the inversion result under complex geological conditions.

The application provides a consistency test method and device, a storage medium, test equipment and program instructions, and relates to the field of chip testing. A plurality of operation units are allocated in the memory, and each operation unit is only allowed to be modified by a single core of a multi-core processor at the same time. On this basis, the numerical values in the operation units are iteratively updated according to the recursive relationship between the operation units, so that the multi-core processor loads the numerical values of different operation units into the corresponding cache lines during execution. After the iteration is completed, the actual numerical values in the operation units are compared with the theoretical numerical values calculated based on the general formula. In this way, since the recursive calculation relies on reading and writing across operation units, a data dependency relationship is formed between some cache lines, so that the test process is no longer limited to the inside of a single cache line, but covers the dependency relationship between a plurality of to-be-tested cache lines, effectively testing the data synchronization capability across cache lines in a multi-core environment.

This application relates to the technical field of SSD data testing, and more particularly to an SSD data consistency testing method, apparatus, device, and storage medium. It includes: generating a multi-dimensional test dataset and dividing it into multiple independent data shards; determining node weights based on the real-time load status of each node, and generating corresponding routing paths for each data shard based on the weights; performing verification in response to the current data shard arriving at the current node, encapsulating the verification result and device status information into verification metadata, and forwarding it to the next hop node along the corresponding routing path until full path verification is completed; comparing the checksums of the same data shard on different nodes based on all verification metadata to identify data consistency; if an anomaly is found, locating the first faulty node, determining the cause of the fault based on the verification metadata of the faulty node, and generating a fault report. This application improves the reliability of SSD data consistency testing through a distributed collaborative verification mechanism.

The application discloses a railway track transportation operation and maintenance detection and review system based on multi-agent cooperation and belongs to the technical field of railway track transportation. In the composite verification and review layer, a physical information coupling agent model is used to predict the expected state of one object from the data of another object and compare it with the measured value by using the physical and mechanical coupling relationship between the detection objects, realize the causality consistency test based on the physical principle, overcome the defects that the pure data correlation verification cannot distinguish statistical fluctuations and physical abnormalities, identify sensor drift, calibration deviation and cross-professional hidden diseases, reduce the false alarm rate and improve the review reliability. At the same time, the intelligent agents are comprehensively coordinated to take the improvement of the minimum comprehensive health degree score of the whole line as the scheduling target, preferentially incline the resources to the key sections most prone to degradation, change the passive planned detection into active risk prevention, and significantly enhance the preventive safety guarantee and operation efficiency.

The present application relates to the technical field of agricultural data monitoring and analysis, in particular to a rapeseed whole growth period intelligent monitoring method and system based on multi-modal AI; the method comprises the following steps: a spatial unit with consistent growth semantics and a nonlinear growth time axis are constructed, a cross-modal consistency dynamic fusion mechanism is established, and a continuous evolution benchmark field is formed; a rapeseed growth period continuous hidden variable space is constructed, a difficult-to-observe physiological state is quantified into a continuous variable, and whole growth period dynamic modeling is realized through a cross-modal coupling evolution equation; an environment, physiology and phenotype three-layer dynamic causal structure is constructed, a continuous trajectory consistency test and causal path offset decomposition are used to accurately locate the abnormal source, and a structured abnormality explanation is generated; through risk priority dynamic scheduling and personalized intervention strategy generation, real-time feedback and causal weight iterative optimization are combined. The present application forms a whole-process closed-loop adaptive management of monitoring, decision-making, execution, feedback and strategy optimization.

This invention belongs to the field of automotive testing technology and discloses a multifunctional automotive TSN testing device and its testing method. The testing method includes: enabling all test ports to share the same time base; generating inbound and outbound timestamps for all incoming and outbound frames in a unified time domain; forming a port-level time-aware scheduling matrix; deeply binding the Layer 3 packet payload to a designated physical port and outputting test traffic through the timestamp injection unit of each port; recording the inbound and outbound timestamps of abnormal frames under the same time base; generating TSN consistency verification results based on the inbound and outbound timestamps; and performing cross-protocol delay consistency verification between automotive Ethernet and CAN / LIN. This invention achieves TSN function verification and cross-protocol delay consistency testing under a unified time base, improving the overall testing accuracy and consistency analysis capability in a multi-protocol automotive network environment.