21 results about "Baseline system" patented technology

The invention provides a method for automatically calibrating collected data of high-precision measurement and control deformation monitoring equipment, and belongs to the technical field of wind tunnel inner profile measurement. Multi-equipment clock synchronization is realized by establishing a unified time reference system, and measurement data of different frequencies are processed by adopting a CPU-GPU heterogeneous parallel processing architecture, so that the measurement accuracy is improved. The method comprises the following steps: performing three-level alignment on time, space and precision dimensions by using a multi-level clustering algorithm, eliminating clock differences among equipment by using a clock drift correction equation set, establishing a space coordinate system conversion matrix to unify a global coordinate system, and performing adaptive data fusion according to a precision weight by using a Kalman filtering fusion algorithm. And a data quality evaluation system is established to ensure the accuracy of a calibration result, a high-precision calibration data set is finally output, and the technical problem that the measurement precision is reduced due to space-time inconsistency of heterogeneous data of multiple devices is solved.

The invention discloses a multi-agent brain signal autonomous understanding method based on large language model driving, and the method comprises the steps: constructing a hierarchical cooperation architecture comprising a central supervisor agent and a specialized sub-agent, and carrying out the autonomous understanding of a brain signal on the basis of reducing the technical threshold of brain signal analysis; the problems that a traditional normal form process is rigid and long-time-history complex tasks are difficult to process are solved. According to the method, a central supervisor agent is used for analyzing a natural language intention of a user and dynamically decomposing a task, and a specialized sub-agent is combined with a global sharing state and a context isolation mechanism to execute domain-specific full-link dynamic planning and accurate tool calling; a comprehensive analysis report with cross-domain causal logic is generated by integrating quantitative calculation results and qualitative clinical knowledge through hierarchical resource allocation and retrieval enhancement generation mechanism, then a three-layer difficulty assessment reference system is established to verify framework performance, and finally autonomy, flexibility and clinical interpretability of a brain signal understanding process are achieved.

The invention discloses a long baseline system time delay correction positioning method based on radial speed information, belongs to the field of underwater positioning and navigation, and particularly relates to the long baseline system time delay correction positioning method based on the radial speed information. The invention aims to solve the problems of large calculation amount and low positioning precision of the existing navigation positioning algorithm. The method comprises the following steps of: 1, acquiring one-way propagation time delay between a target and a transponder; 2, calculating a horizontal distance and propagation time of sound ray propagation, and generating a time delay-distance table based on the horizontal distance and the propagation time; 3, finding a corresponding horizontal propagation distance in the time delay-distance table according to the one-way propagation time delay, and resolving the position of the target to be positioned by using a positioning algorithm according to the horizontal propagation distance; assigning the calculated target position coordinate, the target initial position and the initial speed as parameters to a target state to obtain [X1,..., Xm,..., XM]; and 4, processing the target state by using a Kalman filtering algorithm to obtain a target trajectory.

The invention discloses an on-line quality judgment method based on indentation mechanics in an injection molding process. The method comprises the following steps: (1) system configuration: constructing an on-line quality judgment system; (2) benchmark establishment: pre-establishing a qualified sample mechanical feature library and storing the qualified sample mechanical feature library in a qualified sample feature library unit as a quality judgment benchmark; (3) system deployment: completing linkage debugging verification of the quality online judgment system and the injection molding machine, and ensuring synchronization of the detection action and the injection molding period; (4) injection molding, synchronous indentation test and original data acquisition; (5) data preprocessing and mechanical feature extraction; (6) quality judgment; and (7) closed-loop feedback and dynamic optimization of the feature library. According to the invention, the synchronization of indentation detection and injection molding periods, anti-interference signal acquisition and full-inspection judgment of internal quality can be realized, a production line closed loop of'detection-judgment-feedback-optimization 'is formed, and the method is adaptive to the rhythm of injection molding large-batch continuous production.

The application provides a system verification method and device, equipment, storage medium, program product; the application embodiment can be applied to cloud technology, artificial intelligence, intelligent transportation, vehicle-mounted and various scenes, relates to cloud computing technology; the method comprises: counting the number of service requests sent by each request sending object to the reference system, obtaining the request number of each request sending object; according to the request number of each request sending object, setting the request extraction ratio for each request sending object; based on the request extraction ratio, extracting the test request of the to-be-verified system from the service request of each request sending object; inputting the test request into the to-be-verified system, collecting the processing result of the to-be-verified system for the test request; based on the processing result and the reference result of the reference system for the test request, the consistency of the to-be-verified system and the reference system is verified, and the verification result is obtained. Through the application, the accuracy of system consistency verification can be improved.

This invention discloses an underwater transponder location calibration method based on a triangulation-optimized Gauss-Newton algorithm. First, based on triangulation, initial values ​​are selected for iteration. Three suitable primitive positions are chosen based on distances between primitives to construct a triangularly divided region. The optimal initial values ​​of the Gauss-Newton iterative model are found by iteratively analyzing the divided region. Second, the transponder position is calculated using the Gauss-Newton algorithm. Finally, information anomaly handling based on a cost function is implemented: a cost function is introduced on top of the Gauss-Newton iterative algorithm to calculate the weight matrix of measurement information. Weighted processing is then used to resolve interference from abnormal information during the iteration process. This invention can solve the problem of poor positioning accuracy in ultra-short baseline systems caused by inaccurate transponder positions, enabling rapid and accurate acquisition of underwater transponder position information and further improving the positioning accuracy of ultra-short baseline systems.

Methods, system, and non-transitory processor-readable storage medium for an Out of Memory test baseline system are provided herein. An example method includes executing a plurality of test cases on a system. A test score calculation module calculates a test case score for each of the executed test cases in a subset of the plurality of test cases. An Out of Memory (OOM) test baseline configuration system trains a machine learning system, using the subset test scores, to predict a baseline test score for an unexecuted test case. A test case score prediction module predicts the baseline test score for the unexecuted test case. A test case configuration tuning module tunes the unexecuted test case to determine a baseline configuration for the unexecuted test case, to identify OOM issues when the unexecuted test case is executed on a test system.

The invention provides an electric power monitoring system malicious operation isolation method and system based on behavior analysis, and belongs to the technical field of electric power system safety. Constructing a dynamic behavior baseline system including a sub-scene operation constraint set and the like based on a historical compliance operation chain, performing multi-level comparison check on a real-time operation flow and the system to generate an operation behavior abnormal feature set, and performing cross check on the abnormal feature set and system state sensing data to obtain a malicious operation judgment result; and finally, starting a hierarchical isolation mechanism according to a judgment result, and generating a comprehensive isolation scheme, thereby effectively identifying and isolating malicious operation in the power monitoring system, and ensuring safe and stable operation of the system.

This invention provides a method and apparatus for enabling the usability of test data across multiple systems based on data cleaning. The method involves: determining whether business data of a specified type in each benchmark system conforms to a preset verification rule corresponding to that type; for each benchmark system, if the business data of the specified type in the benchmark system does not conform to the corresponding preset verification rule, modifying the business data of the specified type in the benchmark system according to the preset verification rule; determining whether the first business data of the specified type in the target benchmark system is the same as the second business data in other downstream systems; if the first business data and the second business data are different, modifying the second business data in other downstream systems that is different from the first business data. By modifying erroneous or inconsistent business data, business data is synchronized to multiple downstream systems, making the business data of multiple systems consistent and reusable, improving the utilization rate of business data, and reducing resource waste.

The embodiment of the invention discloses a login detection method and device, a storage medium and electronic equipment, and the method comprises the steps: determining that a target terminal account passes verification based on target account verification information, obtaining the target system environment information of a target terminal, obtaining the reference system environment information, and obtaining the target terminal account verification information; and carrying out risk login detection on the target terminal based on the target system environment information and the reference system environment information.

The invention discloses an ultra-short baseline calibration method of a handheld measuring rod, which belongs to the field of underwater acoustic measurement, is used for ultra-short baseline calibration of the handheld measuring rod, and comprises the following steps: mounting a global navigation satellite system, an inertial navigation system and an ultra-short baseline acoustic transducer component on each of a carrier and the handheld measuring rod; the relative positions of the global navigation satellite system, the inertial navigation system and the ultra-short baseline acoustic transducer component are measured; the handheld measuring rod carries out calibration operation around the edge of the ship body, and the position of the ultra-short baseline acoustic beacon is calculated; an ultra-short baseline acoustic transducer is used for measuring an ultra-short baseline acoustic beacon, and a calibration observation model of an ultra-short baseline system is constructed for least square calculation. According to the method, the acoustic beacons are installed through the handheld rod, high-precision ultra-short baseline calibration is achieved through the nonlinear least square algorithm, no seabed control point exists, complex operation of acoustic beacon arrangement and recovery in a traditional method is avoided, and the time cost and the labor cost of calibration operation are greatly reduced.

The invention relates to the technical field of underwater robots, and discloses a method, a device, equipment and a product for correcting positioning data of an underwater robot, and the method, the device, the equipment and the product realize quantification from position information to a motion state by converting position data of an ultra-short baseline system into speed data, so that the information of the ultra-short baseline system is expanded. Furthermore, by fusing the gyroscope speed and the speed deduced by the ultra-short baseline system and combining with the time interval to correct the position data, the problems of position information hopping and reliability reduction of the ultra-short baseline system in a complex scene are solved, and the reliability of the finally output target position data is improved. Therefore, by implementing the method and the system, the positioning data of the underwater robot is corrected by combining the data of the ultra-short baseline system and the gyroscope, the reliability of positioning information is improved, dependence on a high-precision inertial navigation system is not needed, the requirements on hardware cost and computing power are reduced, and deployment on an upper computer is facilitated.

In one aspect there is a method for detecting whether a first system should be declared as an impostor. In one embodiment, the method includes generating baseline system output information using first system input; exposing the first system to the first system input; obtaining first system output information generated by the first system based on the first system's exposure to the first system input; determining a first similarity measure that indicates a similarity between the baseline system output information and the first system output information generated by the first system; and using the first similarity measure, determining whether or not to declare the first system as an impostor.

The method for improving the positioning precision of an ultra-short baseline system by anti-multipath time delay estimation comprises the following steps: when the ultra-short baseline positioning is performed by using a wideband correlation time delay estimation method, there are multiple correlation peaks in the change curves of R13 (τx) and R24 (τx), respectively; the position of the maximum peak value is found first; then, from the position, the first correlation peak with a peak height of more than 0.707 times of the highest peak and a peak width within a certain range corresponding to the frequency band of the response signal is found; the time delay difference corresponding to the position of the correlation peak is the time delay difference τx or τy of the direct wave; the time delay difference τx or τy is substituted into the formula, respectively, to obtain the accurate positioning of a measured target T in a coordinate system established by an ultra-short baseline array. The method is used for amplitude and width processing on a correlation sequence after interference suppression and correlation filtering of a received signal, the time delay of the direct wave is found, the misjudgment probability is reduced, and the positioning precision of the ultra-short baseline is ensured.

In an approach to non-disruptive system enhancements and integrations, the system including: one or more computer processors; one or more computer readable storage media; and program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors. The stored program instructions including instructions to: connect one or more devices to the system, wherein each device of the one or more devices is connected to the system without changing a baseline system code; assign a mode to each device; receive an event from any device of the one or more devices; determine whether each user of one or more users of the system has an appropriate privilege; and send the event to each user of the one or more users that has the appropriate privilege.

The invention provides a collaborative optimization system and method based on a composite optimization space, and belongs to the technical field of complex system optimization and efficiency evaluation. The system comprises a dynamic routing component, a plurality of functional components, an execution and feedback component and a closed loop learning component. The dynamic routing component routes the request to the functional component according to the context information; the closed-loop learning component constructs a composite optimization space containing routing strategy parameters of the dynamic routing component and internal configurable parameters of the functional component at the same time, generates a quantitative evaluation result based on effect feedback data, and performs joint optimization in the composite optimization space by adopting an automatic tuning algorithm; and based on a single global performance evaluation value formed by the same effect feedback data set collected in the same execution period, cooperatively generating a routing strategy updating signal and a functional component parameter updating signal in the unified optimization process. According to the method, the collaborative effect of the architecture is quantitatively verified by constructing the isolated optimization baseline system and calculating the collaborative efficiency gain coefficient K.

The present application relates to underwater target positioning technical field, especially in kind consider sound line bending's underwater target ultra-short baseline positioning method and system, first obtain arbitrary adjacent position two hydrophone received sound signal's time difference of arrival; then all independent time difference of arrival observation value is made into observation vector; next according to least square principle, the optimal estimate of direction of arrival is calculated;Again according to the direction of arrival and the rotation matrix obtained by the attitude sensor on the ultra-short baseline system, the initial incidence angle of the beam is calculated;Based on the initial incidence angle of the beam, the sound signal propagation time delay obtained by the ultra-short baseline system and the draft of the ultra-short baseline system, the horizontal displacement and depth of the underwater target are calculated by using the constant gradient sound line tracking method;Finally, the coordinate vector of the underwater target in the local horizontal coordinate system is calculated by using the direction of arrival and the horizontal displacement and depth of the underwater target.The present application considers the influence of sound line bending on ultra-short baseline ranging and direction finding, and improves the positioning accuracy of underwater target.

The application discloses a kind of handheld surveying rod's ultra-short baseline calibration method, belong to the field of underwater acoustic measurement, for the ultra-short baseline calibration of handheld surveying rod, including installing global navigation satellite system, inertial navigation system and ultra-short baseline acoustic transducer component on carrier and handheld surveying rod, the relative position between global navigation satellite system, inertial navigation system and ultra-short baseline acoustic transducer component is determined;Handheld surveying rod is along the edge of ship body and is calibrated to circle calibration operation, the position of ultra-short baseline acoustic beacon is calculated;Ultra-short baseline acoustic transducer is used to determine ultra-short baseline acoustic beacon, and calibration observation model of ultra-short baseline system is constructed to carry out least square solution.The application is installed acoustic beacon by handheld rod and nonlinear least square algorithm, realizes the ultra-short baseline calibration of high accuracy, avoids the complex operation of acoustic beacon layout and recovery in traditional method without seabed control point, and greatly reduces the time cost and manpower cost of calibration operation.

The application discloses a kind of quality online determination methods based on indentation mechanics in injection molding process, comprising the following steps: (1) system configuration: build quality online determination system;(2) benchmark establishment: pre-construct qualified sample mechanics feature library and store in qualified sample feature library unit, as quality determination benchmark;(3) system deployment: complete quality online determination system and the linkage debugging verification of injection molding machine, ensure that detection action and injection cycle are synchronous;(4) injection molding and synchronous indentation test and original data acquisition;(5) data preprocessing and mechanics feature extraction;(6) quality determination;(7) closed-loop feedback and feature library dynamic optimization.The application can realize indentation detection and injection cycle synchronization, signal acquisition anti-interference, internal quality full detection determination, and form "detection-determination-feedback-optimization" production line closed loop, adapt to the rhythm of injection molding mass continuous production.

The invention belongs to the technical field of electrical data processing, and particularly relates to a full-automatic high-precision cross-system test data clock alignment method, which comprises the following steps: determining an inflection point sequence and a characteristic time point sequence of each system reference parameter; all the system reference parameters are aligned one by one according to the alignment inflection point sequence and the feature time point sequence, points are taken at equal time intervals with the coincidence point T0 as the center in the overlapping part range of the time axis of all the system reference parameters, and a plurality of equidistant parameter value series are obtained on all the system reference parameters; calculating to obtain a calculation difference sequence and a feature difference sequence; selecting the minimum value of the difference sequence and the minimum value of the feature difference sequence, and respectively calculating the relative time difference combination of each system under the corresponding time axis combination mode, namely an optimal solution 1 and an optimal solution 2; all the systems are aligned to the time axis of the reference system according to the optimal solution 1 and the optimal solution 2 in a set mode.

This invention belongs to the field of computer network technology, and particularly relates to a method for monitoring and early warning of network traffic data based on a local area network (LAN). Through a micro-motion early warning and dynamic baseline system confidence scoring filtering mechanism, a low-latency sliding window is first used to trigger a micro-motion early warning, and then the confidence score is calculated using the dynamic baseline system. This effectively eliminates interference caused by instantaneous jitter and periodic fluctuations, significantly reducing the number of invalid warnings and improving the accuracy of anomaly detection. The constructed multi-dimensional correlation analysis engine integrates multiple analysis paths to perform composite verification of abnormal events, providing a reliable basis for subsequent precise handling. This invention employs a dynamic weighting algorithm in the risk assessment stage, effectively reducing the risk of erroneous operations due to human intervention. The introduced federated learning framework enables cross-domain knowledge sharing and improves the ability of each LAN to identify unknown attack patterns, while ensuring that the original traffic data does not leave the domain, meeting compliance requirements for data security and privacy protection.