45 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 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 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.

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 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 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.

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 invention discloses a vertical unauthorized detection system based on dynamic role configuration and automatic batch testing. The vertical unauthorized detection system comprises a CSV test case management module; an authority simulation module; the test scheduling and execution module is used for integrating a Jenkins scheduling center and a JMeter test engine; a time sequence storage module; and a visual billboard module. Through combination of a Jenkins dispatching center and a JMeter test engine, unauthorized detection of thousands of interfaces can be completed at a time, and the efficiency is improved by more than 90% compared with manual test; and moreover, an allowable role combination field is defined in the test case file, a multi-role combination test is covered, more than 99% of permission boundary scenes can be covered, and repeated work of a traditional single-role test is avoided.

The invention relates to the technical field of motor testing, and discloses a motor temperature prediction and test scheduling method and system based on reinforcement learning. According to the method, a lumped parameter thermal network model and a reinforcement learning model run in parallel, and a physical mechanism prediction temperature and a data driving prediction temperature are synchronously output; and comparing the deviation between the two predicted temperatures and the actual measurement temperature of the motor through a consistency verification module, and performing real-time diagnosis and generating a system health state code. The state code and the motor operation parameters jointly form the state input of the reinforcement learning model, and the reinforcement learning model is guided to make an intelligent decision between a conventional test and an exploratory diagnosis action. When the specific state code is triggered, the system can also start an online adaptive calibration mechanism to perform parameter identification on a physical model or perform online fine adjustment on a reinforcement learning model. By constructing a closed loop of prediction, diagnosis, decision and calibration, intelligent scheduling and adaptive optimization of the test process are realized, and the test efficiency, the safety and the diagnosis capability are improved.

This invention relates to the field of automotive chip testing technology, and discloses a method and system for testing the real-time computing power and power consumption of a domain controller chip. The system includes: a system under test (SUT), comprising a chip under test, a supporting circuit board, and peripheral components; the chip under test is configured to execute a preset algorithm and generate computational characteristic signals; a power analyzer module for real-time monitoring and recording of dynamic power consumption data of the SUT during operation; a signal input device including multiple cameras and a signal generator for inputting test signals to the chip under test via wiring harnesses; a temperature control accessory system including a water-cooling circulation device and an air-cooling heat dissipation component for maintaining the operating temperature of the chip under test within a preset threshold range; and a test host computer configured with a computing power parameter test scheduling system. This invention provides a reliable, accurate, and efficient path for testing and evaluating the computing power of automotive domain controllers, helping to accelerate the iterative development process of high-efficiency, high-reliability automotive chips.

The present disclosure relates to a test scheduling method for health monitoring, an electronic device and a storage medium. The method comprises: constructing a plurality of test tasks according to a plurality of test items and a plurality of nodes in a computing power facility to be monitored; wherein each test task is composed of a test item and a node; for each test task, obtaining a test index value of the corresponding test task based on a preset index set; wherein the test index value represents the test priority of the corresponding test task; and performing scheduling execution of the test task according to the test index value of each test task. Through the method of the present disclosure, unnecessary test resource occupation can be reduced while effectively monitoring, and the overall test efficiency can be improved.

The invention discloses a system and a method for testing comprehensive performance of software. The system comprises a front-end interaction module based on Vue.js, a back-end service module based on Node.js, a test scheduling and scoring module and a data storage module. The front-end interaction module provides a unified operation interface; the back-end service module processes a test task through an API interface, calls a test tool by using a sub-process and analyzes original data; the test scheduling and scoring module supports a comprehensive and single test mode, has a historical data reuse prompt function in the comprehensive mode, configures weight for each test item, and calculates a comprehensive score based on a test result and a preset threshold value; and the data module adopts an SQLite database to store various test data. Integrated management, automatic scheduling and intelligent evaluation of various test tools are realized, and the test efficiency and the result analyzability are remarkably improved.

The embodiment of the invention provides a material test sorting method and device, electronic equipment and a storage medium. The method comprises the following steps: determining production associated information of a to-be-tested material; the production associated information comprises a material priority of the to-be-tested material in a product production process, defect information of the to-be-tested material, resource information of test equipment for testing the to-be-tested material, and production planning information of the to-be-tested material; sorting the to-be-tested materials according to the production associated information of the to-be-tested materials; and determining the test sequence of the to-be-tested materials according to the sorting result. Based on material priorities, defect information, resource information of test equipment and multi-dimensional parameters of production planning, original subjective and fuzzy manual judgment is converted into objective and unified decision. The problems of high subjectivity and non-uniform standard caused by personal experience difference in a traditional method are effectively solved, and the risk that key material testing is delayed due to subjective misjudgment is avoided.

The invention discloses an automatic parallel test and real-time intelligent interpretation system and method for a carrier rocket, relates to the technical field of carrier rocket testing, and is used for solving the problems of low efficiency, information island and high subjectivity of manual interpretation of a traditional test. A parallel task set is generated, a synchronous starting instruction packet is issued, and the serial time bottleneck is broken; then, the parallel test agent module converts the instruction into underlying hardware calling through a hardware abstraction layer and executes test collection, and software and hardware decoupling is achieved; unifying a data bus module multicast instruction, and adding a high-precision time service timestamp for a converged data frame to ensure that the data time of the whole system is aligned; finally, the real-time intelligent interpretation engine module inputs the data into a rule layer, a model layer and an algorithm layer for anomaly detection, a quantitative interpretation conclusion and confidence are generated through fusion decision, a test launch control closed-loop system is constructed, and the test efficiency and reliability are improved.

The invention relates to the technical field of semiconductor chip testing, in particular to a three-temperature testing method, device, equipment and medium for a semiconductor chip, and the method comprises the steps: firstly, providing a lambda SVR-LSTM model for the steady-state time of a to-be-tested chip at a predicted target temperature, carrying out the short-term error correction of the model through SVR, capturing a long-term time sequence relation through LSTM, and carrying out the short-term error correction through LSTM; further, the accurate steady-state time is obtained; secondly, the invention provides a three-temperature test scheduling algorithm, by optimizing a test sequence and a temperature switching strategy, the test efficiency is improved, the temperature switching frequency and time are reduced, and the energy consumption and the operation cost of test equipment are reduced; finally, the invention provides a test cost calculation function which can accurately calculate the test cost based on various factors such as total test time, equipment operation cost, temperature switching times and energy consumption.

The application belongs to the technical field of intelligent manufacturing and industrial scheduling, and provides a high-altitude table multi-test task scheduling method based on a clustering algorithm and multi-objective optimization, which comprises the following steps: automatically calculating the exclusive resource demand of each working condition point in a plurality of aero-engine test tasks based on a multi-parameter coupling model; for each task, a plurality of work packages are divided by using a clustering algorithm based on multi-dimensional features containing exclusive resource demand; a multi-objective model of multi-optimization objectives is constructed, and all work packages are jointly sorted globally, wherein the optimization objectives include equipment utilization; finally, under the constraints of resource capacity, test cabin mutual exclusion and task continuity, available test devices and continuous time windows are allocated to each work package to generate an initial scheduling plan. The application effectively improves scheduling efficiency and resource utilization, enhances plan robustness, and is suitable for high-complexity aero-engine test scheduling scenarios.

The invention relates to a test scheduling method for health monitoring, electronic equipment and a storage medium, and the method comprises the steps: constructing a plurality of test tasks according to a plurality of set test items and a plurality of monitored nodes in a computing power facility; wherein each test task is composed of a test item and a node; for each test task, obtaining a test index value of the corresponding test task based on a preset index set; wherein the test index values represent the test priorities of the corresponding test tasks; and scheduling and executing the test tasks according to the test index value of each test task. Through the method disclosed by the invention, unnecessary test resource occupation can be reduced while effective monitoring is performed, and the overall test efficiency is improved.

This invention provides a non-blocking automated test scheduling method and system based on heterogeneous file queues. The steps include: acquiring upstream test task requests and encapsulating them into task description files; constructing a file directory according to business scenario requirements, and atomically updating task status by moving the task description files between file directories; real-time monitoring of the load operation of execution nodes, generating a scheduling strategy for the task description files based on the load monitoring results and task status, and dynamically optimizing the strategy. Encapsulating test information into independent files and storing them in the directory enables task status recovery; asynchronous communication between the task generation end and the execution end through the file system improves system scalability; dynamically adjusting the scheduling strategy based on the priority and dependency relationships of file content; and optimizing resource utilization by having a daemon process running on the execution node monitor its own load and actively extract and read tasks.