11 results about "Matching test" patented technology

The utility model provides a novel flow distribution and wear testing device, include: linear force motor (1), valve core (2), through rod (4), reflector disc (5), laser displacement sensor (8), through rod (4) is connected with linear force motor (1), is driven by linear force motor (1) and does linear motion, valve core (2) is set up on through rod (4), and through rod (4) end is provided with reflector disc (5), laser displacement sensor (8) is set up to reflector disc (5) and is consistent with reflector disc (5) height, is used for emitting laser to reflector disc (5), and obtains the displacement of valve core (2) according to the laser signal of reflection. Can improve the repeatability, stability, accuracy of hydraulic element performance detection, improve the detection efficiency.

The application discloses a kind of wisdom management system and method based on video privacy information identification, it is related to information processing identification technical field, including: time stamp matching test is carried out to audio of different length, matching test model is established, audio in court video is extracted, audio is divided and optimization division result is obtained, each segment audio after division is converted into text separately, private content in text is identified, the location of private content in audio is found by time stamp matching and is carried out mute, complete audio is synthesized after mute processing, and the division process of subsequent audio to be muted is planned, after frame extraction is carried out to court video image, private information in each frame image is identified and is carried out coding, audio-video is synthesized after coding video and mute processing audio, the probability that mute is not complete even part of private information in audio is not muted due to that time stamp matching deviation is larger is reduced, the reliability of court audio private information processing is guaranteed.

This invention discloses a test bench resource scheduling method, apparatus, device, and storage medium. The method includes the following steps: constructing and dynamically updating a test bench profile based on real-time collected test bench status data; obtaining task requirement information for a test task to be scheduled, including task type, required configuration parameters, execution priority, and time window; matching test tasks with test bench resources using a preset multi-objective optimization scheduling algorithm based on the task requirement information and the test bench profile to determine a target bench that matches the test task to be scheduled; and assigning the test task to be scheduled to the target bench for execution. This application significantly improves test bench resource utilization and task execution efficiency, and greatly reduces anomaly response time and manual intervention costs.

The present application relates to a kind of heterogeneous data analysis method based on large language model, storage medium and electronic equipment. Including the following steps: data acquisition and grouping;Prompt word construction;Regular expression generation and optimization;Result verification and iteration: the regular expression generated is applied to the corresponding data group and is matched with test;If there is matching failure sample data, matching failure sample data and current regular expression are used as feedback information, together with the structured prompt word is input into the large language model again, request to generate revised regular expression, until the regular expression generated is completely matched with all sample data in the corresponding data group.The present application replaces the existing manual access mode by automatic data access process, adapts more kinds and structures of network security data, greatly uses general regular expression to match and analyze the log format with similar format, improves the accuracy and efficiency of regular expression to analyze original log.

The application relates to the technical field of software development, and discloses an interface testing method, device, equipment, storage medium and computer program product. The method comprises the following steps: in response to a testing request, matching a simulation interface corresponding to the testing request in a cache, wherein the cache stores a simulation interface configured in advance by a user; performing interface testing on the simulation interface; obtaining response data; and generating an interface testing result of the simulation interface according to the response data. Since the simulation interface is stored in the cache and the interface testing is directly performed on the simulation interface corresponding to the testing request matched from the cache, the response time of the interface testing can be reduced, and the high-concurrency and low-delay scene can be supported.

This invention discloses a deep learning-based PCB and housing matching inspection device, including a test body and a matching test assembly structure. The matching test assembly structure integrates core components such as a platform, assembly rack, slide, hydraulic jack, induction coil assembly, and electrical testing platform. The platform surface has a groove adapted to the PCB, and its interior has a through hole corresponding to the position of the plastic column of the housing. The through hole is equipped with a linkage structure consisting of an isolation sleeve, an induction heat pipe, a through rod, and a driving liquid pipe. The driving liquid pipe is connected to the linkage liquid pipe through a pipeline. The piston rod in the linkage liquid pipe can lock the hydraulic jack. An electrical testing platform and test probe are provided below the platform, which can simultaneously carry out PCB electrical function testing. The induction coil assembly heats the induction heat pipe through electromagnetic induction, and the pressure is used to achieve thermal riveting between the plastic column of the housing and the PCB. This device integrates matching inspection, electrical testing, and thermal riveting assembly functions, which greatly improves the inspection efficiency in large-scale production.

To address the problems of traditional automotive parts requirement decomposition relying on manual experience, resulting in low efficiency and poor consistency, as well as the cumbersome and error-prone process of requirement fulfillment verification, this application provides a method for requirement decomposition and verification of automotive parts. This method includes: acquiring stakeholder requirements for automotive parts; using a large language model to semantically parse stakeholder requirements, identifying functional intents, performance indicators, boundary conditions, constraint assumptions, and interface objects; using the identified elements as retrieval criteria, dynamically retrieving matching historical knowledge content from the enterprise knowledge base through a retrieval enhancement generation method; using the retrieval results and stakeholder requirements as input, and decomposing the stakeholder requirements layer by layer into system requirements, software requirements, and hardware requirements using the large language model; automatically optimizing and rewriting the decomposed requirements based on predefined enterprise and industry standards; automatically matching test cases based on the optimized requirements, associating test execution records and results, and automatically evaluating and grading the requirement fulfillment status.

This invention belongs to the field of warehousing and logistics automation technology. It provides a method and system for forklift identification area based on ground coding. When a tightly coupled relationship is identified, the optimal empty forklift identification coordinates are obtained. Based on these coordinates, matching tests are performed on unmanned forklifts under different load conditions to evaluate the matching degree of empty coordinates. This helps determine the applicable range of the optimal empty forklift identification coordinates and whether personalized customization is needed for unmanned forklifts under different load conditions. In cases of low matching of empty coordinates, the optimal empty forklift identification coordinates are used as a benchmark to obtain the identification adjustment amount for unmanned forklifts under different load conditions. The optimal identification coordinates for unmanned forklifts under different load conditions are then determined, and a forklift identification coordinate sequence under different load conditions is constructed. This improves the dynamic matching capability and identification accuracy of the ground coding for unmanned forklift identification under different load conditions.

The embodiment of the application is suitable for the mining technical field, and provides an additive matching method and a matching device.The method comprises the following steps: obtaining matching test data of a plurality of types of additives, wherein the matching test data comprises test strength data of each filling body obtained by adding each type of additive to filling test sample materials; determining a planned filling operation time; obtaining real filling operation data matched with a target filling operation time according to the planned filling operation time, wherein the target filling operation time and the planned filling operation time belong to the same season; determining expected strength data of each filling body according to the real filling operation data; and matching a target additive from the plurality of types of additives based on the test strength data and the expected strength data of each filling body. By using the above method, a suitable additive can be accurately and quickly matched for filling operation.

The application discloses an embedded device automatic testing method and a terminal. The method comprises the following steps: receiving a change order, and acquiring an associated module corresponding to a changed module in the change order; the changed module and the associated module are marked as to-be-tested modules corresponding to the change order; when a new version is detected, a target change order corresponding to the new version is acquired, and target to-be-tested modules corresponding to the target change order are acquired; an execution case set of each target to-be-tested module is determined; and a test case in the execution case set of each target to-be-tested module is executed on a to-be-tested device. The application realizes automatic analysis and matching of test cases, and improves the test efficiency of the embedded device.