66 results about "Load generation" patented technology

A seeding assembly for direct seeding comprising a support attached to the chassis of a seeding machine; load generating means supported on said support, and a seeding frame supporting a coulter blade and a double disc assembly comprising two furrow opening discs, the coulter blade and the double disc assembly being in a tandem arrangement, with minimum distance or spacing therebetween, and the coulter blade being partially located within the seeding frame, wherein the seeding frame is attached to the support through a parallelogram system, and the load generating means transmit load to the seeding frame through said parallelogram system, and wherein the coulter blade is partially located within the parallelogram system allowing the load applied to the seeding frame to concentrate more on the coulter blade so that said coulter blade penetrates the soil.

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.

The invention relates to a new energy technology, and provides a load data generation method and device, electronic equipment and a computer storage medium, and the method comprises the steps: receiving a generation demand which is described by a natural language and is used for generating load data; the load is utilized to generate a large language model, question and answer interaction is carried out based on the generation demand, demand parameters are obtained, the large language model generated by the load is pre-trained by utilizing a target corpus, and the target corpus is generated based on sample data of the new energy project and a load generation rule; and taking the demand parameter as an input parameter, generating target load data through the load generation large language model, and generating a generation result of natural language description based on the target load data. Load data can be generated through question and answer interaction, and efficiency is improved.

The utility model discloses a continuous load gas circuit control system for roadbed detection, which relates to the technical field of roadbed detection and comprises a dynamic load subsystem and a static load subsystem. The dynamic load subsystem comprises a first electromagnetic directional valve, a dynamic load generating cylinder and a throttling speed regulating valve; the static load subsystem comprises an air supply solenoid valve, a second solenoid directional valve, an exhaust speed regulating valve, an exhaust solenoid valve, a static load generation cylinder and an air supply speed regulating valve; according to the utility model, the air cylinder can respectively generate a continuous circulating dynamic load and a stable and uniformly distributed static load on a roadbed by utilizing air path control.

Systems provide load redistribution and reduced stress at otherwise highly loaded threads. A system for a threaded connection includes a shaft that rotates about an axis. The shaft is a hollow cylinder with an inner surface and a wall defined around the inner surface. A fastener is in threaded engagement with the shaft. The fastener applies a compressive load holding the shaft under a tensile load. The threaded connection extends from a loaded end adjacent a place of application of the compressive load, to an unloaded end opposite the loaded end. The inner surface has a contour, and the wall has one thickness at the loaded end and another greater thickness at the unloaded end, so the wall has more compliance at the loaded end as compared to at the unloaded end to reduce a stress resulting from the load and redistributing stress throughout the threaded connection.

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 invention discloses a statement generation method, which comprises the following steps of: receiving load characteristic information and database mode information, and obtaining characteristic parameters according to the load characteristic information and the database mode information; determining the statement type of the generated statement according to the feature parameters; and calculating a state transition probability according to the load feature information. In the embodiment of the invention, the load type required by the user can be determined according to the database mode information and the load feature information, and the SQL statement of the load of the determined type is generated according to the load feature information. The styles of the SQL statements of the load generated by the method are more, so that the styles of the SQL statements of the load are enriched, and the load generation mobility is improved.

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.

A seeding assembly (1) for direct seeding comprising: - a support (8) attached to a chassis (10, 2) of a seeding machine; - load generating means (6) supported on said support (8); and - a seeding frame (2) supporting a coulter blade (3) and a double disc assembly (4) comprising two furrow opening discs, the coulter blade (3) and the double disc assembly (4) being in a tandem arrangement, with minimum distance or spacing therebetween, and the coulter blade (3) being partially located within the seeding frame (2), wherein the seeding frame (2) is attached to the support (8) through a parallelogram system, and the load generating means (6) transmit load to the seeding frame (2) through said parallelogram system, and wherein the coulter blade (3) is partially located within the parallelogram system allowing the load applied to the seeding frame (2) to concentrate more on the coulter blade (3) so that said coulter blade (3) penetrates the soil

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.

The invention relates to the technical field of power system load simulation methods, in particular to a diversified load parallel simulation method and device, and the method comprises the steps: extracting load power data through historical load data, forming a fitting function based on the fitting of the load power data, and calculating the fitting load power through the fitting function; establishing a load generation function by fitting the load power; establishing a load cluster, and dividing the load cluster into a plurality of load units; and calculating the power of the plurality of load units in a multi-thread concurrent mode based on the load power generation function to obtain load simulation power, and performing load simulation power interaction through the memory bank. According to the method, through load cluster division, one thread is used for processing one load unit, so that the calculation efficiency is improved, second-level even millisecond-level load simulation power data can be generated at the same time, the change of the load is truly simulated, long-time-sequence change data needed by power grid simulation is constructed, and basic service is provided for a simulation system.

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 application discloses a ladder rack multi-source load overload operation control method and system of a cloud ladder fire engine, adopts a strain sensor to detect strain values generated by multi-source loads such as arm frame self weight, platform load, wind load, acceleration inertia load, water cannon counterforce, bridge counterforce and the like in real time, and then calculates real-time bending moments of the ladder rack from the strain values. When the real-time bending moment of the ladder rack is less than the maximum bending moment, the ladder rack can continue to increase the amplitude even if overloaded, otherwise, the ladder rack will stop the action. When the real-time bending moment of the ladder rack approaches the maximum bending moment, the ladder rack is proportionally decelerated until the action stops. The application can realize overload control within the safe operation range of the cloud ladder fire engine, and effectively improves the rescue efficiency.

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

A pseudo-access load generation mechanism is provided inside of a computer, and includes a pseudo-access load generation unit that generates a pseudo-access load on the memory module based on the access profile information 80 acquired by the profile acquisition unit or the information for the self-running mode stored by the information storage unit for the self-running mode. Therefore, a sufficiently high load state of the memory module can be generated, which corresponds to the load state of the memory module when the plurality of application programs are executed by the processor.

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.