9 results about "Test scheduling" patented technology

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 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.

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 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.

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.

The application provides an automatic test scheduling method and device, equipment and a storage medium. A test task is acquired, a task description file is generated according to the test task and is stored in a scanning physical directory, when node load of at least one execution node meets a load condition, the test task is executed by the execution node using the task description file by scanning the scanning physical directory, and when the execution node meets the load condition, the test task is autonomously scanned instead of being passively received, so that even if the amount of test tasks increases sharply, the test task can still be executed without being blocked and affecting other test tasks. In the case of executing the test task, the execution state of the test task is determined, the task description file is dynamically moved to a corresponding pre-built physical directory according to the execution state, the task description file is dynamically stored in the scanning physical directory and the pre-built physical directory corresponding to the execution state, and the execution node is decoupled, so that even if the execution node fails at different time nodes during task execution, the test task is not lost.

The application relates to the field of aerospace technology and discloses a launch vehicle timing load path resistance value automatic testing method and system. Resistance value testing instructions are acquired by a flight control machine, combined with pre-stored path configuration data to generate a testing parameter set, testing scheduling data and path switching control data are generated and sent to a target timing load control device through a system bus; the target timing load control device performs round testing on the path to be tested, applies a testing excitation and collects voltage and current sampling data; path resistance value results are calculated based on the sampling data and threshold value determination is performed, and then resistance value determination result is returned to the flight control machine and output to a ground display terminal through a rocket-ground link. The application can realize automatic acquisition, automatic determination and automatic return of the timing load path resistance value in the whole testing and launching process without significantly increasing the testing operation burden, and can reduce the error influence introduced by the external testing path as much as possible.