42 results about "Load generation" patented technology

The invention discloses an electric vehicle charging load generation method and system. The method comprises the steps that a one-dimensional time sequence signal is converted into a heterogeneous feature token containing local, global and guiding information through mixed token processing; constructing a decomposition type diffusion model based on the token, and directly generating three core components of trend, seasonality and residual error of the time sequence; optimizing a model training process by adopting a composite loss function and a warm start mechanism so as to solve the cold start problem of model training; and performing high-quality fusion reconstruction on each component through a weighted overlap-add method, and outputting a final charging load curve. According to the method, highly real and diversified charging load data can be generated, and powerful data support is provided for power grid planning and dispatching in a structure interpretable mode.

The invention discloses a software performance test system, method and device in a high-concurrency scene, and relates to the field of software testing, the system comprises a scene intelligent construction module used for generating a concurrency scene through a behavior tree modeling and time sequence prediction algorithm according to service demand parameters and historical traffic data; the distributed test environment scheduling module is used for constructing a distributed test environment by adopting a container arrangement technology; the virtual user load generation module is used for simulating concurrent user requests by adopting a coroutine pool technology; the real-time performance data acquisition module is used for acquiring multi-source performance data of the tested software in real time; the intelligent performance analysis module is used for calculating a core performance index according to the multi-source performance data and carrying out anomaly detection and trend prediction; and the performance bottleneck positioning module is used for mining a dependency relationship among the core performance indexes and generating a bottleneck positioning report and an optimization suggestion document. According to the method, the accuracy, the efficiency and the stability of software performance testing in a high-concurrency scene are improved.

A method of performing NVH testing of a vehicle includes collecting raw road sensor data of first vehicle, converting the raw road data to frequency domain data; determining real components and imaginary components of the frequency domain data, generating load selection deck data form the real components and imaginary components, formatting the load selection deck data, generating formatted frequency domain data, communicating the frequency domain data to a testing device through a network and operating the testing device to excite a second vehicle using the formatted frequency domain data.

The invention relates to the technical field of load prediction, and particularly provides a power distribution network payload ultra-short-term prediction method and device, and the method comprises the steps: enabling historical payload data and meteorological data to serve as the input of a pre-constructed multilayer perceptron-based payload generation and use decoupling model, obtaining historical power utilization load data and photovoltaic output data output by a pre-constructed net load generation and utilization decoupling model based on the multilayer perceptron; taking the historical electrical load data and the photovoltaic output data as inputs of a pre-constructed electrical load data prediction model and a pre-constructed photovoltaic output data prediction model respectively; obtaining electrical load prediction data output by a pre-constructed electrical load data prediction model and photovoltaic output prediction data output by a photovoltaic output data prediction model; and reconstructing the electrical load prediction data and the photovoltaic output prediction data to obtain power distribution network net load prediction data. According to the scheme, high-precision ultra-short-term prediction of the net load of the power distribution network is realized.

The application provides a network test transmission optimization method and a test system, and belongs to the technical field of network testing.The network test transmission optimization method of the application transmits only the 4-layer header and load description information, compared with transmitting complete data packets, the data transmission amount of the PCIe bus is greatly reduced, and the bandwidth occupation of the PCIe bus is significantly reduced;the FPGA intelligent network card locally completes load generation, assembly and detection, does not need to rely on the CPU processing of the mainboard, reduces the data interaction delay, and improves the concurrent test capability of the test instrument.

The calibration method and calibration device of current detection and current protection mechanism, the calibration device comprises: a master control unit, an interface conversion unit, an electronic load generation unit and a power transmission function detection unit; the electronic load generation unit provides an electronic load, so that the universal serial bus control chip outputs a load constant current and corresponds to the load constant current, and generates an analog-to-digital conversion value by using at least one preset conversion parameter; the master control unit inputs and corresponds to the analog-to-digital conversion value, generates and stores a to-be-calibrated output current by using a to-be-calibrated current back-propagation operation method and at least one preset conversion parameter, generates at least one calibration conversion parameter by corresponding to the load constant current and the to-be-calibrated output current and using a conversion parameter calibration method, and replaces at least one preset conversion parameter in the universal serial bus control chip with at least one calibration conversion parameter, so that the universal serial bus control chip generates calibrated analog-to-digital conversion values by using at least one calibration conversion parameter and can correctly start the overcurrent protection mechanism.

The application relates to the technical field of application server middleware performance test, and particularly discloses an application server middleware performance test system. The system comprises a business scene intelligent modeling module, an adaptive load generation and scheduling module, a full-stack performance data acquisition and correlation analysis module and a test environment automatic management module. Through the cooperative work of the above modules, the test script is automatically generated from natural language or logs, the load pressure is dynamically adjusted based on real-time feedback, the full-stack performance data correlation analysis and root cause positioning are realized, and the test environment is automatically constructed and elastically expanded, so that the efficiency, authenticity and automation level of the performance test are improved.

This invention discloses a method for judging and correcting the flattening phenomenon of wind turbine blade root load, comprising the following steps: acquiring real-time blade load data under grid-connected operation of the wind turbine; judging whether the blade root oscillation load data in the real-time blade load data has a flattening phenomenon; judging whether it needs to be merged into a single flattening segment based on the interval between each flattening segment, and calculating the cumulative duration of the flattening segment; judging whether the cumulative duration is not greater than a preset cumulative duration threshold; extracting features of the normal segment located in the previous cycle of each flattening segment from the blade root oscillation load data; generating replacement loads for the flattening segment based on the features and performing segment-by-sine replacement on each flattening segment, while smoothly connecting the start and end points of the flattening segment to complete the correction of the flattening phenomenon of wind turbine blade root load. This invention corrects flattening through feature extraction and sinusoidal load generation, meeting the load testing accuracy requirements, avoiding long-term wind turbine shutdowns, and reducing power generation losses.

The present application belongs to the technical field of non-vehicle charger efficiency testing, and discloses an intelligent program-controlled analog load system, a non-vehicle charger dynamic efficiency testing method, equipment and a medium to solve the problem of testability. The system comprises, connected in turn: a charging behavior portrait modeling module, which clusters high-dimensional charging behavior data based on a SOM network to generate multiple charging behavior portrait categories; a dynamic load simulation module, which generates a corresponding dynamic load curve for each charging behavior portrait category based on GAN and LSTM; a multi-modal load fusion module, which performs collaborative weighted fusion on the dynamic load curves corresponding to each charging behavior portrait category based on the Shapley value in the cooperative game theory to generate a comprehensive multi-modal load curve; and an intelligent program-controlled load generation module, which converts the multi-modal load curve into a power electronic load signal based on power electronic technology and outputs the signal to a power device to generate a physical load.

The present disclosure is directed to a method of optimizing parallel DC-DC efficiency. The method includes determining (502), by one or more processors of a machine, a power demand of the machine according to a load. The method includes identifying (504), by the one or more processors, efficiency metrics of the machine when operated with a plurality of combinations of power converters, each combination corresponding to a respective power output which combines to the power demand. The method includes selecting (506), by the one or more processors, a combination of power converters from the plurality of combinations, according to an efficiency metric of the combination satisfying one or more selection criterion. The method includes operating (508), by the one or more processors, the machine according to the selected combination of power converters, to produce power for the load according to the power demand.

The invention discloses a service performance test method and device and a storage medium, and relates to the technical field of computers, and the method comprises the steps of creating a test script corresponding to a pressure test node on a load generation end of a current round based on test configuration; executing a current round of performance test on the target service based on the test script to obtain a current performance test index parameter; carrying out inflection point identification based on the performance test index parameters of the current round and the previous round; under the condition that the inflection point identification result is empty, whether the current performance test index parameter meets a preset performance index or not is determined; if not, up-regulating the test configuration, and executing the step of creating the test script corresponding to the voltage test node on the load generation end of the current round based on the test configuration; and if yes, determining a performance test result of the target service according to the current performance test index parameter, thereby solving the problems of low test efficiency and inaccurate result caused by dependence on static preset configuration in the prior art, and improving the accuracy of the performance test.

The application discloses a risk detection method and device, a storage medium and an electronic device. The method comprises the following steps: acquiring a calling event generated by a workload in a cloud computing system, and analyzing the calling event to obtain an analysis result, and determining a container ID of the workload used for executing the calling event according to the analysis result; acquiring a rule engine with the same engine ID and container ID as the target rule engine; acquiring an execution log associated with the calling event through the container ID to obtain a target execution log, and sending the target execution log to the target rule engine; acquiring a detection rule in the target rule engine, and detecting the target execution log through the detection rule to obtain a detection result of the calling event. Through the application, the problem of poor detection efficiency and detection accuracy of the related art using multiple detection systems to detect the calling event in the cloud computing environment is solved.

This invention relates to the field of structural strength testing technology, and discloses a loading control system and method for aerodynamic load simulation. The system includes: a load spectrum configuration unit for configuring and storing a load spectrum characterizing the mapping relationship between the position of the test product and the target load; a state information acquisition unit for real-time acquisition of the actual position value of the test product's motion state and the actual load value output by the loading actuator; a target load generation unit for querying the load spectrum based on the actual position value and generating an instantaneous target load value in real time; a servo control calculation unit for comparing the actual load value with the instantaneous target load value and generating a drive control signal through a control algorithm; and a loading drive execution unit for driving the loading actuator according to the drive control signal, applying the target load to the test product while it moves with it. This invention improves the dynamic response and loading accuracy of aerodynamic load simulation and is suitable for structural strength testing and load verification in fields such as aerospace.

A method for nonintrusive network load generation may include determining available resources in a distributed computing system, where the distributed computing system includes a plurality of computing devices and a target deployment. Based on an amount of available resources between the target deployment and a plurality of source computing devices, the plurality of source computing devices may be selected to generate a network load directed from the plurality of source computing devices to the target deployment. The plurality of source computing devices may be a subset of the plurality of computing devices in the distributed computing system. A network-traffic generator service may be provided to the plurality of source computing devices in order to generate the network load directed from the plurality of source computing devices to the target deployment. The performance of the distributed computing system in response to the generated network load may be monitored.

The invention provides an aluminum wire forming control system, method and device based on load feedback, and relates to the technical field of material processing industry control. Comprising a load acquisition and historical window construction module, a load window segmentation identification module, a load memory feature extraction module, a load memory feature vector construction module, a load decoupling and equivalent load generation module, a control parameter inversion calculation module and a load memory state updating module. According to the method, a load historical window is taken as a core, continuous acquisition and segmented identification are carried out on a formed load, a load hysteresis characteristic and a historical residual effect are introduced, and the problem that traditional control only depends on an instantaneous load and is difficult to reflect historical influence is solved. A real-time load is split into an instant response component and a historical residual component, and historical residual influence is dynamically reduced, so that excessive compensation and control oscillation caused by load memory are avoided. By constructing a load intelligent control system, collaborative optimization of load sensing and control in the aluminum wire forming process is achieved.

The invention discloses an AC / DC power distribution system typical scene generation method considering source-load space-time correlation, and relates to the technical field of scene generation, and the method comprises the steps: building a digital representation model based on the typical grid topology of an AC / DC power distribution system; according to new energy spatio-temporal evolution characteristics, constructing a time correlation model of wind and light output based on a dependency function-state transition chain, and establishing a spatial correlation model of wind and light output based on a multivariate hierarchical tree; constructing a load time sequence optimization model driven by a daily load characteristic index according to the random volatility of the daily load, and constructing a charging load generation model according to different user groups of the electric vehicle; establishing a flexibility demand and supply quantification model; and constructing an original scene according to the established model, and clustering the generated original scene to obtain a typical scene of the AC / DC power distribution system. According to the method, the source-load space-time correlation can be extracted based on historical data, the original scene is generated, and the typical scene is obtained through clustering.

The application relates to an attack load generation method and device, electronic equipment and a storage medium, wherein the attack load generation method comprises the following steps: obtaining existing attack samples to form an attack sample pool, and splitting the attack samples in the attack sample pool to obtain attack load fragments; generating an attack fragment graph according to the attack load fragments, wherein the nodes on the attack fragment graph are the attack load fragments, and the weight of the edges is the number of times of connecting two attack load fragments in sequence; classifying the nodes on the attack fragment graph, and generating new attack loads according to the attack fragment graph with classification to perform WAF bypass testing; and adding the new attack loads to the attack sample pool after the new attack loads successfully bypass the WAF. The application can effectively detect the defense capability of the WAF, find the weaknesses and configuration omissions of the WAF, and thus improve the defense capability of the WAF.

At least one aspect of the present disclosure is directed to a method of optimizing parallel DC-DC efficiency. The method includes determining, by one or more processors of a machine, a power demand of the machine according to a load. The method includes identifying, by the one or more processors, efficiency metrics of the machine when operated with a plurality of combinations of power converters, each combination corresponding to a respective power output which combines to the power demand. The method includes selecting, by the one or more processors, a combination of power converters from the plurality of combinations, according to an efficiency metric of the combination satisfying one or more selection criterion. The method includes operating, by the one or more processors, the machine according to the selected combination of power converters, to produce power for the load according to the power demand.

A system including a processor and a non-transitory computer-readable media storing computing instructions that, when executed on the processor, cause the processor to perform certain operations: identifying a first transit time of a first load that is different from a second transit time of a carrier for the first load; tuning a load generation model using a slackness allowance function; generating, using the load generation model with the slackness allowance function engaged, multiple slackness time windows with corresponding slackness penalties for the first load; and determining a third transit time based on a slackness time window of the multiple slackness time windows and a corresponding slackness penalty for the first load. Other embodiments are disclosed.

To provide a damper device for a vehicle capable of suppressing load generation due to adhesion of an arc spring when large torque is input.SOLUTION: The damper device 20 includes a seat SS supporting both ends of the spring 52 (52a, 52b) and provided with a disc spring part t having spring characteristics, and stopper parts Sa, Sb provided on the 50a of a fly wheel body and regulating the movement of the seat SS by abutting on the disc spring part t before the spring 52 is closely attached. As a result, the disc spring portion t and the stopper portions Sa and Sb come into contact with each other before the spring 52 comes into close contact, so that the regulating force due to the contact acts on the seat SS and the stress on the spring 52 is relaxed. Further, the sliding resistance after the abutment between the disc spring portion t and the stopper portions Sa, Sb also acts as stress relaxation. Therefore, when a large torque is input, the occurrence of a load due to the close contact of the spring 52 is suppressed.SELECTED DRAWING: Figure 3

The application discloses a kind of performance test methods of server middleware, it is related to computer technology field, including constructing dynamic business scenario model, baseline calibration and parameter snapshot are configured, deployment distributed test node cluster, multi-dimensional index real-time acquisition, adaptive load adjustment etc.The performance test method of the server middleware, through dynamic business scenario modeling-configuration baseline calibration-distributed collaborative load generation-multi-dimensional index linkage acquisition-adaptive load adjustment-full link performance tracing-long-term stability iteration verification integrated test process, in combination with the intelligent load regulation and control algorithm of real-time performance feedback and cross-level index correlation analysis model, realize the accurate evaluation of server middleware overall performance and single point component, while guaranteeing the benchmark consistency and long-term reliability of test result, test efficiency, data credibility and scene adaptability significantly improve, suitable for the full life cycle performance test of server middleware.

The application discloses a complex connection load generation method for different connection shapes, comprising the following steps: step one: connection graph generation: according to the number of user-defined participating connection tables, the queried connection shape and the reference relationship between the tables, a connection template generation method suitable for different connection shapes is used to generate a load template with different connection shapes; step two: filter predicate generation: according to the connection graph, a filter predicate is randomly generated for each table in the template; step three: parameter instantiation: the filter predicate is filled with parameters through a result-oriented parameter instantiation method, so that the query result is not empty. The application also discloses a load generation system for implementing the load generation method and application of the load generation system in complex connection load generation. The application can automatically generate large-scale, rich, diverse and effective complex connection loads, provide rich test scenarios for query optimizer evaluation, and help database administrators effectively evaluate query optimization performance.

The application discloses a BAS system attack load automatic generation method and system based on a large language model, and belongs to the technical field of network security. In order to solve the problems that attack load generation depends on manual work, has poor compliance and is difficult to break through dynamic defense, the BAS attack instruction or environment fingerprint is received and modeled as a decision process; search enhancement technology is used to fuse safety knowledge to form prompt information; an initial load is generated by a strategy network under the constraint of a predefined syntax rule; a reward model is trained based on target environment feedback to evaluate bypassing capability; and the strategy network is updated by using a reinforcement learning mechanism and knowledge dynamic backfilling is realized. The application can significantly improve the simulation degree and bypass success rate of the BAS system, realize automatic iteration of attack strategies and mining of new vulnerability variants.

The invention discloses a digital watermark steganography method and system based on optical text compression, and the method comprises the steps: 1, carrying out the load generation and optical coding, carrying out the optical rendering of a steganography text or image, inputting a visual semantic encoder, and obtaining a semantic vector set; step 2, performing semantic vector discretization and robustness enhancement; step 3, carrying out deep steganography embedding; 4, carrying out steganography extraction and error correction recovery; and 5, performing semantic vector reconstruction and optical decoding content generation. According to the method, cross-modal long text steganography based on visual semantic compression is realized for the first time, the limitation of a traditional steganography method in the aspects of capacity, recoverability and aggressiveness resistance is broken through, and the method can be widely applied to the fields of copyright identification, secret communication, digital traceability, media asset security and the like and has important engineering value and application prospect.

A load control unit (1) is retrofitted to a load generation device that generates a prescribed load, and applies additional braking force to the prescribed load, the load control unit (1) comprising a reel (11) that has a rotary shaft member (11a) and rotates around the rotary shaft member (11a), a magnetic viscous fluid device (14) that brakes the rotary shaft member (11a) by applying a magnetic field to a magnetic viscous fluid (14a), and a modulation unit that modulates the magnetic field applied to the magnetic viscous fluid (14a).

The invention provides a network test transmission optimization method and a test system, and belongs to the technical field of network test.According to the network test transmission optimization method, by only transmitting header and load description information of less than four layers, compared with transmission of a complete data packet, the data transmission amount of a PCIe bus is greatly reduced, and bandwidth occupation of the PCIe bus is remarkably reduced; the FPGA intelligent network card locally completes load generation, assembly and detection without relying on mainboard CPU processing, data interaction time delay is reduced, and the concurrent test capability of a test instrument is improved.

The invention relates to the technical field of cloud computing, in particular to a cloud desktop performance test method and device, equipment, a medium and a product, and the method comprises the steps: obtaining a test task of a cloud desktop, and recognizing the type of the test task; when the type representation test task is used for testing the use performance of the cloud desktop, the test task is sent to the simulation user side; simulating a network state required by the test task according to cloud desktop information included in the test task; obtaining preset load specifying information, calling a load generation tool on the cloud server based on the load specifying information, and generating a load of the cloud server; and based on the load and the network state, executing the test task by utilizing the simulation user side. By simulating the network state required by the test task, the problem of inaccurate test result caused by bandwidth bottleneck can be avoided. By generating the load, the real resource load curve of the virtual resource in the actual production process can be simulated, and the accuracy of the test result is improved.

An apparatus and a method for assisting muscular strength are described. The disclosed apparatus comprises: a first device to be worn on a part of the body of a user; a second device to be worn on another part of the body of the user; and a static load generation part provided in the first device so as to have a static load spring device that applies a static load to the second device. In the method, the first device, which is worn on a part of the body of the user, applies a static load to the second device worn on the other part of the body of the user, and the static load generation part, which is provided in the first device, applies a static load to the user in response to a change in the relative distance between the first device and the second device according to the movement of body of the user or a change in the body shape.

The invention discloses a demand response-oriented building random electrical load modeling and optimizing method and system, and relates to the technical field of power system control. The method comprises the following steps: constructing a user agent, and simulating a user behavior mode by adopting a non-homogeneous semi-Markov process; constructing an electric appliance intelligent body, and generating an equipment physical constraint; establishing a coupling relationship between a user agent activity sequence and electric appliance agent power by adopting an agent-based simulation framework, and generating an equipment flexibility constraint; constructing an aggregation model of distributed loads, and establishing physical constraints and flexibility constraints of aggregated loads for flexible loads; and constructing a distributed load self-response scheduling optimization model under the price-type demand response and an aggregate load centralized scheduling optimization model under the excitation-type demand response, and solving the scheduling optimization model. According to the method, fine-grained modeling of the building electrical load generation process is realized, and executable equipment-level and aggregation-level scheduling schemes can be generated for both distributed and centralized scheduling mechanisms.

The embodiment of the invention discloses a query load generation method, which comprises the following steps of: generating an SQL (Structured Query Language) statement serving as a query load by adopting a reinforcement learning model, determining a current state according to characteristics of a target database instance and a currently generated incomplete SQL statement, and inputting the current state into a strategy network of the reinforcement learning model, and determining the next lexical element of the incomplete SQL statement according to the probability distribution of each lexical element which is output by the strategy network and is used for generating the complete SQL statement in the current state, and continuously iterating until the complete SQL statement is generated. According to the method, more diversified query loads can be conveniently and quickly generated through the reinforcement learning model without depending on a relatively solidified SQL statement template.