59 results about "Test scheduling" patented technology

The invention relates to the field of electric power material quality detection, and discloses a test scheduling system for detection task collaboration and data acquisition, which comprises a task construction module, a state collaboration module, a graph reasoning module and a data acquisition module. And the task construction module generates a standardized test task packet including a task identifier, a project code, a target equipment identifier, an environment requirement parameter and a two-dimensional code according to the test rule base and the resource configuration state, and pushes the standardized test task packet to corresponding test equipment through a Web Service interface. And the state collaboration module receives an equipment state feedback event, constructs an event time sequence flow graph based on the task identifier and generates a task state sequence with a timestamp. The atlas reasoning module takes the state sequence and the environmental parameters as input, constructs a test atlas structure and generates an optimization execution path. And the data acquisition module controls the test equipment to complete a detection task according to the path, acquires test data and environmental parameters, and encapsulates the test data and the environmental parameters to form a structured task data packet, thereby realizing data collection and task tracing.

The invention relates to a multi-dimensional aging test data analysis system and method, and aims to realize real-time acquisition and intelligent analysis of multiple performance indexes in the aging process of electronic products. The system comprises an information acquisition module, a test scheduling module, a data processing module, an analysis module, an abnormity judgment module, a report module and a communication module. Cooperative work among the modules is realized based on task driving and data circulation, accurate association of test data is realized through bar code binding, and unified analysis is performed in combination with multi-source information such as USB read-write performance, network transmission state and display resolution. The system realizes multi-task concurrent acquisition through a resource-aware scheduling strategy, and the analysis module identifies performance abnormity and outputs a structured report by combining preprocessing, feature extraction and time sequence prediction. According to the method, the test automation level and the anomaly recognition accuracy are improved.

The invention relates to an ultrasonic radar aging test method, system and device and a medium. The method comprises the following steps: acquiring a batch configuration file and a corresponding test scheduling table, and performing initial calibration on each to-be-tested AK1 sensor based on the scheduling table to obtain a baseline parameter set of the sensor; configuring an excitation-observation sequence according to the batch configuration file and the baseline parameter set to obtain a test plan, and executing a single test cycle according to the test plan to obtain original sampling data; preprocessing the original sampling data to obtain an observation vector and an event mark, and performing state estimation on the observation vector and the driving excitation corresponding to the observation vector to obtain a state estimation and residual error sequence; based on a preset validity criterion, performing validity judgment on each observation vector according to the event mark and the residual sequence to obtain a valid sample set; and performing health degree evaluation based on the effective sample set and state estimation to obtain an aging test report. By adopting the method, the accuracy of the radar aging test can be improved.

The invention belongs to the technical field of intelligent manufacturing and industrial scheduling, and provides a high-altitude platform multi-test task production scheduling method based on a clustering algorithm and multi-objective optimization, and the method comprises the steps: automatically calculating the exclusive resource demands of all working condition points in a plurality of aero-engine test tasks based on a multi-parameter coupling model; for each task, dividing a plurality of work packages by adopting a clustering algorithm based on the multi-dimensional features containing exclusive resource requirements in the task; a multi-objective model of multiple optimization objectives is constructed, all the work packages are jointly sorted globally, and the optimization objectives comprise the equipment utilization rate; and finally, under the condition that constraint of resource capacity, mutual exclusion of test cabins and task continuity is satisfied, allocating an available tester and a continuous time window to each work package, and generating an initial production scheduling plan. According to the method, the production scheduling efficiency and the resource utilization rate are effectively improved, the plan robustness is enhanced, and the method is suitable for high-complexity aero-engine test scheduling scenes.

The invention relates to a TSN network minimization intrusive test scheduling method for guaranteeing production safety priority, which comprises the following steps: step 1, reservation of time-space isolated test resources: distributing a special test time slot with the lowest priority for test flow in a scheduling period of a centralized network controller; and step 2, a dynamic detection strategy of service awareness: monitoring key performance indexes of the key production service queue in real time, and when all the key performance indexes are lower than a preset threshold value, injecting test flow in a test time slot. And step 3, adaptive network optimization of closed loop feedback. According to the invention, on the premise of not influencing the normal operation of the key production service under the coal mine, the accurate and real-time monitoring of the TSN network state can be realized, the non-inductive test effect of the service is finally achieved, and the self-adaptive optimization capability is realized.

The invention discloses a domain controller automatic test scheduling method and system based on a hierarchical software architecture, and relates to the technical field of automatic test and industrial control, and the method comprises the steps: S1, constructing an automatic test system of the hierarchical software architecture which at least comprises a hardware drive abstraction layer and a test application layer, the hardware drive abstraction layer is used for uniformly packaging bottom layer drives of a board card, a signal conditioning module, a relay matrix and a power supply module in the test system, and providing a standardized interface irrelevant to specific hardware for the test application layer; according to the domain controller automatic test scheduling method and system based on the hierarchical software architecture, the comprehensive requirements of a new energy automobile power domain controller on high-efficiency, high-reliability and high-consistency automatic test in research, development, verification and mass production stages are better met.

The invention discloses a simulation test method, system and device for a solid state disk chip and a medium, and relates to the technical field of chip testing, and the method comprises the steps that a test platform end and a virtual machine end mount a shared directory, the test platform end copies an adaptive test script library to a first shared folder according to a test scheduling item, and the first shared folder is used for testing the test script library; after each script execution environment is determined through analysis, a starting instruction is generated and sent to the corresponding virtual machine; and the virtual machine end generates a response after receiving the instruction, creates a second shared folder and an execution directory, executes the to-be-tested script information in the execution directory, and returns a script execution result to the test platform end, so that the technical problem that batch and multifunctional test scripts are difficult to execute in a traditional test is solved, the batch test scripts are executed through an automatic process, and the test efficiency is improved. And resource synchronization and log management are realized by utilizing the shared directory, fault environment reservation or automatic reset is supported, the test efficiency and traceability are improved, the flow continuity is guaranteed, and the technical effect of efficiently executing batch scripts is achieved.

The present invention belongs to the technical field of integrated circuit testability design, and discloses a 3D IC MBIST test method based on an intelligent algorithm. It performs isomorphic grouping by parsing the spatial coordinates, hierarchical attribution, and multi-dimensional attributes of memories; establishes a three-dimensional layout relationship based on an improved interlayer distance model; uses a hierarchical clustering algorithm to merge memory clusters according to spatial proximity, and constructs a grouping architecture with a minimized number of controllers; combines a multi-objective simulated annealing algorithm to establish a dynamic test scheduling model, and optimizes the test time under power consumption constraints through a temperature attenuation mechanism. The method of the present invention performs three-dimensional collaborative optimization of spatial layout, timing constraints, and power consumption budget, solves the contradiction between area overhead and test efficiency faced by traditional memory built-in self-test schemes in 3D ICs, effectively copes with the stacked layer test challenges under limited test temperature conditions, and significantly improves the test economy and reliability of heterogeneous integrated chips.

The application belongs to the field of workshop scheduling, and particularly discloses a semiconductor wafer probe test scheduling method and system based on an improved genetic algorithm, which adopts double-layer process-machine coding, and combines auxiliary resource taboo coding as an individual, effectively converts a complex scheduling problem into a coding form through an innovative coding and decoding strategy, and avoids traversal search on all selectable auxiliary resources; global-local hybrid search is carried out through the improved genetic algorithm, on the basis of machine level exchange with the traditional critical path-key block, search on the auxiliary resource immediately preceding work is increased, and neighborhood exploration is carried out based on a load balancing strategy, so that the search efficiency and solution quality are improved. The application can quickly and efficiently solve the semiconductor wafer probe test scheduling scheme, effectively improve the equipment utilization, speed up the scheduling efficiency, and break through the bottleneck of traditional scheduling.

The invention discloses an automatic test scheduling method, device and equipment and a medium, and is applied to the technical field of computers. The method is applied to a cluster, the cluster comprises a main node and at least two working nodes, and the method comprises the following steps: receiving an automatic test command sent by a self-service platform through the main node, and analyzing the automatic test command to obtain a test project identifier and a test case set of a test project; distributing the test project identifier and the test cases in the test case set to at least two target working nodes through the main node; and testing according to the test engineering identifier and the test case through the target working node to obtain a test result. According to the embodiment of the invention, efficient automatic test scheduling can be realized.

The invention discloses a 2.5 D integrated circuit test scheduling optimization method based on a constrained differential evolution algorithm, belongs to the field of integrated circuit test optimization, and aims to solve the problems of complex solution, low precision and low speed of the existing test scheduling method. The method comprises the following steps: step 1, establishing a 2.5 D integrated circuit test scheduling model under power consumption constraint; 2, obtaining related parameters of 2.5 D integrated circuit test scheduling, designing a discrete coding and decoding strategy, and setting initialization parameters of a constraint differential evolution algorithm; 3, performing iterative evolution on the initial population by using an improved constraint differential evolution algorithm to generate a new solution; 4, updating the population and control parameters; and 5, judging a stop condition, and outputting an optimal solution.

The application provides a test scheduling method, system, device and medium for an autonomous vehicle. The method comprises: obtaining autonomous driving information of a plurality of autonomous vehicles in a dynamic test field, wherein the autonomous vehicles comprise offline test vehicles and research and development test vehicles; determining a target vehicle to be scheduled in the plurality of autonomous vehicles based on the autonomous driving information and test requirements corresponding to the autonomous vehicles; dynamically generating a test scheduling instruction for the target vehicle based on the autonomous driving information and the test requirements corresponding to the target vehicle; if the target vehicle is an offline test vehicle, sending the test scheduling instruction to the target vehicle; and if the target vehicle is a research and development test vehicle, sending the test scheduling instruction to a test tool on the target vehicle. Through the application, the human resource consumption, operation and testing human cost are reduced, and the efficiency of test scheduling is improved.

Embodiments of the present application provide a pressure test method, device, computer equipment and readable storage medium. The method is executed by a pressure test platform device, the pressure test platform device comprises a pressure test management node, a pressure test scheduling node and a pressure test device cluster. The method comprises the following steps: the pressure test management node acquires task parameters of a pressure test task, and sends the task parameters to the pressure test scheduling node; the pressure test scheduling node acquires S pressure test devices for executing the pressure test task from the pressure test device cluster according to the task parameters, acquires pressure test parameters corresponding to the S pressure test devices respectively from the task parameters, and sends the S pressure test parameters to the corresponding pressure test devices respectively; S is a positive integer; the S pressure test devices acquire pressure test case resources of the pressure test task from a case database respectively according to the corresponding pressure test parameters, and execute the acquired pressure test case resources. By using the present application, the stability of the pressure test platform device can be improved.

The invention relates to the technical field of battery testing, solves the problem that in the prior art, battery testing tasks cannot be scheduled in a unified mode and comprehensively balanced under multi-factor constraints, and provides a battery testing scheduling method and device based on multi-objective optimization driving. The method comprises the following steps: acquiring real-time temperature in a battery testing environment, testing real-time charging and discharging parameters of a battery and task attribute information of each task in a to-be-scheduled task sequence; constructing a multi-objective optimization model according to the decision variable, the multi-objective cost function and the objective constraint condition; inputting the real-time temperature, the real-time charging and discharging parameters and the task attribute information into a multi-target optimization model to obtain a target task sequence; and according to the target task sequence, the carrying module and the test environment module are controlled to execute test scheduling of the to-be-tested batteries on the battery test stations. According to the invention, under the constraint of multiple factors, unified scheduling and comprehensive balance of the battery test tasks are realized.

The invention discloses a CAD kernel automatic test system based on a real ship model example. The system comprises a portal application layer, a test service layer, a CAD function layer, a kernel interface layer and a data layer. The portal application layer is used for providing a user interaction interface and integrating user management, test task management, CAD geometric kernel library management, example visualization, test instance starting, test report generation and system log recording functions, and the test service layer is used for testing a scheduling platform. And the CAD functional layer is used for integrating complex curved surface modeling, structural entity creation, outfitting entity creation and geometric figure calculation modules. According to the invention, efficient and accurate verification of a CAD kernel is realized by constructing a real ship engineering example library, an automatic test scheduling engine and a multi-dimensional comparative analysis module.

An intelligent fuzz testing method and system for network protocol software. The steps of the method are as follows: Step S1: State node definition; The test driver obtains the protocol state machine definition by calling the protocol layer interface and feeds it back to the protocol test scheduler; The protocol test scheduler conducts tests on each node in sequence according to the generated protocol state machine definition; Step S2: State node testing; At the start of a test of a state node, the protocol test scheduler depends on the current state node; The protocol test scheduler requests the test driver to provide communication messages, and it forwards the request for generating communication messages to the protocol layer interface; The protocol layer interface generates communication messages and returns them, which are forwarded to the protocol test scheduler; The protocol test scheduler calls the communication agent to send communication messages to the target protocol software to complete the communication interaction. This system is used to implement the above method. The present invention has the advantages of simple principle, easy operation, wide application range, good scalability, etc.

The invention discloses a production test tool method and system for an OS test circuit board, a storage medium and electronic equipment, and the method comprises the following steps: an upper computer test program detects whether a to-be-tested test circuit board, a test tool circuit board, a digital programmable power supply, a signal source / frequency meter and a multifunctional universal meter exist and can work normally; if yes and can work normally, the next step is carried out, otherwise, the step is repeated after installation and debugging; testing whether an output channel for detecting the digital IO channel of the circuit channel is open or not; and grounding detection is carried out on an input path and a grounding channel circuit of the IO channel of the to-be-tested test circuit board. According to the invention, aiming at the characteristic that each channel circuit structure is the same in the prior art, a test scheme of fully automatically and accurately positioning a fault test channel is realized by taking a to-be-tested chip OS test circuit board card, a test firmware program, a test instrument, a test tool plate and the like as a hardware basis and taking test upper computer software as a test scheduling and test result judgment mode.

The present disclosure relates to the technical field of electric power, and discloses an assembly scheduling method and device, electronic equipment and a storage medium. The specific scheme is: for a plurality of first assemblies, performing a plurality of times the following first test scheduling operation, obtaining the first score of each first assembly; in response to the current scheduling request for the plurality of first assemblies, determining a plurality of second assemblies from the plurality of first assemblies based on the first score of each first assembly; performing scheduling processing on each second assembly respectively to obtain the scheduling result of each second assembly; and updating the first score of each first assembly based on the scheduling result of each second assembly, wherein the updated first score of each first assembly is used to respond to the next scheduling request for the plurality of first assemblies.

The present application relates to the technical field of battery testing, solves the problem that the prior art cannot uniformly schedule and comprehensively balance battery testing tasks under multi-factor constraints, and provides a battery testing scheduling method and device based on multi-objective optimization driving, the method comprising: in response to a preset scheduling trigger instruction, obtaining real-time temperature in a battery testing environment, real-time charge and discharge parameters of a testing battery, and task attribute information of each task in a to-be-scheduled task sequence; constructing a multi-objective optimization model according to decision variables, a multi-objective cost function, and target constraint conditions; inputting the real-time temperature, the real-time charge and discharge parameters, and the task attribute information into the multi-objective optimization model to obtain a target task sequence; and controlling a handling module and a testing environment module to perform testing scheduling on to-be-tested batteries at each battery testing station according to the target task sequence. The present application achieves unified scheduling and comprehensive balancing of battery testing tasks under multi-factor constraints.

The invention relates to the field of GPU chip testing, in particular to a parallel test task scheduling method oriented to a high-computing-power GPU chip. The specific implementation process comprises the following steps: constructing a test task-resource demand matrix, calculating transient thermal stress generated by a test task, and verifying a test safety margin; aggregating the plurality of test tasks into a parallel test execution cluster according to the test safety margin, and planning a GPU test scheduling graph containing space mapping and an execution time window for the parallel test execution cluster; and setting a fault causal traceability chain, performing analysis when the test fails, outputting a fault source context, and troubleshooting a fault cause. According to the method, the test task-resource demand matrix is constructed, a fine scheduling mode of first planning and second execution is adopted, and active security verification is introduced, so that the security of the GPU chip is guaranteed, efficient parallel test of the high-computing-power GPU chip is realized, and the execution efficiency of the test task and the accuracy of fault positioning are effectively improved.

The invention provides a PCBA performance detection platform and method for an integrated electric power-assisted brake system, and relates to the technical field of automotive electronics, and the platform comprises a control host which is configured to run a test program, process test data, and send a test instruction; the to-be-tested piece clamping station is used for installing and electrically connecting a to-be-tested PCBA; the interface array comprises an actuator interface module which is configured to be connected with an executive component of an automobile braking system; the signal simulation module is configured to generate an environment signal for simulating the running state of the vehicle; the to-be-tested piece clamping station, the actuator interface module and the signal simulation module are interconnected through an interface array, so that when a to-be-tested PCBA is installed on the to-be-tested piece clamping station, the to-be-tested PCBA is clamped on the to-be-tested piece clamping station; according to the hardware-in-the-loop test system, the control host carries out test scheduling, the PCBA to be tested carries out driving control on an execution part connected to the actuator interface module, and the signal simulation module provides simulation input signals for the PCBA to be tested.

The invention discloses an automatic test scheduling management method and device based on data driving, and relates to the technical field of rail transit signal system testing, and the method comprises the steps: obtaining a test release package containing an automatic test service, deploying a test environment, starting the test service, and configuring test information and a scheduling mode according to a test demand; starting an automatic test process, performing automatic test on the test data according to the scheduling mode, and obtaining an execution log and an execution result; performing real-time monitoring on an automatic testing process based on a fault-tolerant mechanism, and performing exception handling according to an execution log and an execution result; according to the method, the problems of low test efficiency and low test accuracy caused by lack of two levels of scheduling modes for test data and test cases in a conventional test method are solved, and the test efficiency and reliability of the rail transit system are remarkably improved through dynamic selection of the scheduling model, combination of an automatic test process and a fault-tolerant mechanism.

The invention belongs to the technical field of firmware batch management, and particularly relates to a device firmware batch management and control method and system, and the method comprises the steps: coding a to-be-managed and controlled device through a coding module, and coding a to-be-managed and controlled firmware; uploading the device firmware file to the corresponding firmware code through a file uploading module; the configurator places an order to select target firmware of the device and automatically generates an upgrading path; scheduling the upgrading and downgrading mode of each device, scheduling related device configuration firmware paths on the configuration list, and generating a configuration file; and factory delivery test scheduling TU. According to the process, one-time development and multi-time calling are realized, manpower and material resources are saved, software coding application is more beneficial to firmware version management and control, a configuration file upgrading and degrading path is controllable, upgrading and degrading can be scheduled, and upgrading and degrading verification related to interception and introduction of a test is more perfected.

The invention is suitable for the technical field of vehicle-road cooperation, and provides a vehicle-road cooperation scene test method, and the method comprises the steps: determining a target vehicle which can participate in a cooperation test from a test vehicle according to the state information of the test vehicle; wherein the test method comprises a preset test and a cooperative test, the preset test is a test which is preset by a test vehicle and needs to participate in, and the cooperative test is other tests except the preset test in which the target vehicle participates in; obtaining test scheduling information according to the demand of the cooperative test and the state information of the target vehicle; and outputting the test scheduling information, wherein the test scheduling information is used for enabling the target vehicle to participate in the cooperative test. According to the vehicle-road cooperation scene test method provided by the invention, the test efficiency of the vehicle-road cooperation scene test can be remarkably improved by multiplexing the test data. According to the method, the tested vehicle does not need to be manually arranged to cooperate with the scene, the test efficiency is effectively improved, and the test cost is reduced.

The present application relates to the field of GPU chip testing, and specifically to a parallel test task scheduling method for high-computing-power GPU chips. The specific implementation process includes: constructing a test task-resource demand matrix, calculating the transient thermal stress generated by the test task and checking the test safety margin; according to the test safety margin, aggregating multiple test tasks into a parallel test execution cluster, planning a GPU test scheduling graph containing space mapping and execution time window for the parallel test execution cluster; setting a fault cause and effect traceability chain to analyze when the test fails, output the fault source context and troubleshoot the fault cause. By constructing the test task-resource demand matrix, using the fine scheduling method of planning first and executing later, and introducing active safety checking, the present application ensures the safety of the GPU chip while achieving efficient parallel testing of high-computing-power GPU chips, effectively improving the execution efficiency of the test task and the accuracy of fault location.

The present application discloses a testing method and related equipment, which includes: after receiving an automatic test request triggered by a user for a pending test task, first using the information index identifier of the test object carried by the automatic test request to query the test scheduling reference information corresponding to the information index identifier from a pre-built analysis information index database, so that the test scheduling reference information can indicate the minimum conditions required to be achieved when performing resource scheduling for the pending test task; then determining the resource configuration and task parameters of the pending test task based on the test scheduling reference information and the current state of the resource pool; finally, executing the pending test task according to the resource configuration and task parameters, thereby achieving the purpose of automatically executing the pending test task, thereby effectively avoiding the adverse effects caused by manually driving the test task, and further effectively reducing the resource consumption of the testing process.

In one implementation, a device obtains node information regarding a plurality of nodes in a computer network. The device identifies a topology of the computer network. The device determines an optimal agent deployment plan for probing agents in the computer network based on the node information and the topology of the computer network. The device causes probing agents to be deployed to a selected set of nodes from the plurality of nodes in accordance with the optimal agent deployment plan.

This application discloses an automated production scheduling method and apparatus for harmonic reducers, relating to the field of industrial control technology. The automated production scheduling method for harmonic reducers includes: acquiring a basic dataset for multi-station testing of the harmonic reducer; optimizing the test item set corresponding to the test samples to determine the target test sequence of the test samples and the target test time corresponding to the target test sequence; constructing an initial test scheduling scheme for multi-station testing based on the target test sequence and target test time; and solving the initial test scheduling scheme to obtain the target test scheduling scheme for the harmonic reducer. Because the test sequence of the test item set corresponding to the test samples is optimized, unnecessary station state switching waiting time is reduced; and by further solving the initial test scheduling scheme, the global optimality of the obtained solution is ensured, improving production efficiency and equipment utilization.

The invention relates to the technical field of energy storage power stations, and discloses a grid-related test management system and method for an energy storage power station. In the application, the energy storage power station network-related test management system comprises a main control module used for generating a network-related test scheme according to scene information of an energy storage power station; the test scheduling module is used for executing a network-related test on each subsystem of the energy storage power station according to the network-related test scheme; the data fusion module is used for performing data fusion processing on the network-related test data of each subsystem to generate a test data view of each subsystem; and the report generation module is used for generating a network-related test report of the energy storage power station according to a preset report template and the test data view of each subsystem. Through cooperative work of all the modules, full-process automatic processing of the energy storage power station grid-related test from scheme generation, test execution, data fusion to report output is achieved, dependence on manpower can be reduced, the test efficiency is improved, and meanwhile strict specification requirements are met.

The present application relates to a method and a system for verifying the schedulability of microprograms in an embedded system, which belongs to the technical field of embedded systems. The method includes obtaining a test microprogram set and a control microprogram set; sequentially scheduling the test microprogram set and the control microprogram set by using the EDFI scheduling rule to obtain test scheduling information; sequentially scheduling the test microprogram set and the control microprogram set by using the EDF scheduling rule to obtain control scheduling information; and obtaining result information according to the test scheduling information and the control scheduling information. The present application has the effect of improving the accuracy of the result of judging the schedulability of microprograms.