22 results about "Cloud testing" patented technology

Systems, methods, and apparatus are provided for a secure multicloud test automation framework. The automation framework may receive a natural language request for a cloud-based test scenario at a user interface on an enterprise network. The test scenario may include a cloud resource and a cloud platform. Machine learning may map keywords extracted from the test scenario to a set of test cases associated with the cloud resource. Keyword mapping may also identify a configuration file associated with the cloud platform. The automation framework may retrieve shell scripts specified by the set of test cases from a shell script repository. The automation framework may use data from the configuration file to access the cloud platform via a secure gateway and execute the shell scripts using data from the cloud platform. The automation framework may generate a comprehensive summary report and maintain technical logs for the test.

The invention provides an intelligent cloud testing system and method based on cloud and edge computing, and particularly relates to the technical field of automatic testing, and the system comprises a cloud service platform, an edge unit, an instrument discovery unit and message middleware. The cloud service platform manages test cases and test data in a centralized manner, provides a code-free programming tool, saves test records, and supports multiple report formats and data online analysis. The edge unit is deployed on a user site, automatically identifies test instruments and equipment, receives test cases, autonomously completes testing, pushes test data to the cloud service platform in real time, and supports offline testing. An instrument discovery unit automatically detects and configures an access instrument. And the message middleware improves the data throughput, realizes module decoupling, and is convenient for independent deployment and upgrade. The system solves the technical problems that an automatic test system is long in research and development period, poor in flexibility and difficult to deploy, and rapid construction, flexible adjustment and low-cost deployment of the automatic test system are achieved.

Systems and methods are disclosed for data object testing. One or more processors may receive a video data object (110). The one or more processors may receive one or more video specifications (132) from a database (125). The one or more processors may generate an on-demand cloud testing instance (130) having a subset of video analysis tools from a plurality of video analysis tools and computational resources determined based on the video data object (110) and the one or more video specifications (132). The one or more processors may perform, in the cloud testing instance (130), a compliance test on the video data object (110) based on the one or more video specifications (132), generate a compliance output (134) based on the compliance test, the compliance output (134) including instructions or parameters for automatic video editing of the video data object (110). The one or more processors may provide the compliance output (134) to a downstream component.

A point cloud test method and device are applied to the technical field of detection and can test the point cloud of a body target output by a to-be-detected detection device, and specifically, the detection device can be a millimeter wave radar. During testing, the point cloud testing device matches the true value of the body target with the point cloud of the body target to obtain the matching condition between the point cloud of the body target and the true value of the body target. As the body target is closer to the detection target of the to-be-detected detection device in the real installation environment, the quality of the point cloud output by the detection device can be more accurately tested, and the detection capability of the detection device can be evaluated. In addition, matching is automatically performed according to the true value of the body target and the point cloud of the body target, so that the evaluation error can be remarkably reduced, and the test precision and the test efficiency are improved.

This application discloses a data processing method and apparatus, relating to the field of computer technology, for improving the throughput of large language models. The method is applied to edge devices or cloud testing devices, and includes: prefetching key KV cache for at least one future generation step at a first time, and calculating the attention score for the (T+N)th generation step based on the key KV cache. The first time is any time of the Tth generation step, which is used to generate token T. The scheme provided in this application prefetches key KV cache for one or more future steps during the inference process of the generation step. Since the prefetching of key KV cache and model inference can be executed in parallel, the transmission latency of the key KV cache can be effectively reduced. In this way, the scheme of this application can significantly improve the throughput of large models, i.e., more tokens can be generated per second.

The present application provides a virtual testing platform and a testing method. The virtual testing platform comprises a local testing terminal and a cloud testing terminal; the local testing terminal is used for creating and running a virtual electronic control unit; the cloud testing terminal is communicatively connected to the local testing terminal, and a simulation testing execution environment is configured in the cloud testing terminal; the cloud testing terminal is used for performing simulation testing on the virtual electronic control unit according to a test case on the basis of the simulation testing execution environment. By means of the virtual testing platform in embodiments of the present application, simulation testing can be performed without being affected and limited by electronic controller hardware, and there is no need for customized development of electronic controller hardware, thereby improving the efficiency of simulation testing.

A data conformance service determines, based at least on an information model of a machine at a remote site of a client, cloud test code to be executed by the data conformance service to perform at least a first type of conformance test for data provided by the machine and edge test code to be executed by an edge gateway at the remote site to perform at least a second type of conformance test for the data from the machine. The service deploys the edge test code to the edge gateway. The service receives data from the machine and executes the cloud test code using the data to generate cloud test results. The service receives edge test results and generates, based on the cloud and edge results, an indication of whether the data from the machine conforms to a specification.

The invention discloses an FADEC software simulation test environment automatic construction method, which comprises the following steps of (1) automatically and fully updating software codes in digital simulation according to instrumentation rule information in a test environment baseline, and generating full digital simulation of current version software after the codes are automatically compiled; (2) calling a coverage rate instrumentation batch file to carry out coverage rate automatic instrumentation on the full-digital simulation, uploading the full-digital simulation and other configuration files after instrumentation to a configuration management library, and filling in related information to generate a test environment baseline; (3) the computer starting the cloud test service is called as a cloud test node, and each node broadcasts own information through the DDS service; (4) after a plurality of automatic test cases are selected at a local node, the selected cases can be automatically distributed to each node for execution through the system according to the running state of each node; (5) each cloud test node starts to execute after receiving the use case information, broadcasts the execution information to a local node, and uploads coverage rate data collected by each cloud test node to a file transfer station; (6) after all the use cases are executed, downloading coverage rate data in the file transfer station to the local in the local node and merging the coverage rate data; according to the method, the automatic use case can be universally used in two test environments, so that the overall efficiency of software verification is improved.

The invention discloses a vehicle-mounted multi-source signal cloud test method, system and device, and relates to the technical field of vehicle-mounted electronic testing, and the method comprises the steps: obtaining a platform collection list, so as to generate a plurality of groups of random test data file information; constructing a DDS service simulation environment, and generating a corresponding signal sending sequence script and a reference data recording script according to each group of random test data files; based on a DDS service simulation environment, calling a signal sending sequence script and a reference data recording script, injecting signals according to a sequence, and recording reference data to a reference data file at the same time; and receiving and analyzing the cloud log collected by the vehicle end according to the collection strategy of the platform collection list to generate a result data file, and comparing the reference data file with the result data file to generate a test result. According to the invention, cloud testing of multi-source signals is realized, the coverage rate and efficiency of vehicle-mounted signal testing are greatly improved, the testing cost is reduced, and the problem of multi-source signal collaborative testing is solved.

Embodiments of the present invention relate to the technical field of data synchronization, and in particular, to a file synchronization method, system, and storage medium. The method includes: when a public cloud test server deployed in a public cloud environment detects a file to be synchronized, synchronizing the file to be synchronized to a public cloud synchronization server deployed in both the public cloud environment and the cloud desktop environment; after receiving the file to be synchronized, the public cloud synchronization server synchronizes the file to be synchronized to a cloud desktop file server deployed in the cloud desktop environment; after receiving the file to be synchronized, the cloud desktop file server synchronizes the file to be synchronized to a private cloud synchronization server deployed in both the cloud desktop environment and the private cloud environment; after receiving the file to be synchronized, the private cloud synchronization server synchronizes the file to be synchronized to a private cloud test server deployed in the private cloud environment. The technical solution of the embodiments of the present invention can achieve automatic synchronization of files to be synchronized in different network environments.

The invention relates to the technical field of intelligent driving, and discloses an integration test method and device of vehicle-mounted software, computer equipment and a storage medium, the method comprises the following steps: pulling component codes in a version control system through a plurality of continuous integration assembly lines constructed in advance, and packaging the component codes to obtain a to-be-tested software package; obtaining a plurality of test tasks corresponding to the to-be-tested software package; issuing the test task to a corresponding cloud test environment for parallel execution to obtain a plurality of component test results; and outputting a corresponding test report to a software test platform based on the plurality of component test results. The problems that in the field of automatic integration testing of intelligent driving system software, the testing time is long, the testing result feedback is slow, the automatic testing efficiency is not improved, and the testing time is not saved are solved.

The invention discloses a clouded test upper computer system and a test method. The clouded test upper computer system comprises a cloud upper computer and at least one edge execution unit, the cloud upper computer is deployed at the cloud and comprises a user interaction module, an artificial intelligence module, a central control and task management module and a cloud database, the edge execution unit is deployed at a test site close to a tested object, and the cloud upper computer is connected with the edge execution unit through a network. And the centralized management, distributed execution and result summarization of the test tasks are cooperatively completed. According to the invention, tight coupling of traditional upper computer functions and hardware is broken through, non-real-time and compute-intensive functions are migrated to the cloud, and elastic expansion and centralized management of resources are realized.

The embodiment of the present invention discloses a cloud testing method, device, equipment and storage medium for smart home devices. The embodiment of the present invention configures the smart home devices to realize the function of communication between the smart home devices and the cloud server; controls the smart home devices to send feature data to the cloud server, so that the cloud server verifies the feature data according to the verification rules and obtains the verification results; controls the cloud server to send control instructions to the smart home devices, obtains the action execution results fed back by the smart home devices, generates a cloud test report according to the verification results and the action execution results, and the control instructions are used to control the smart home devices to perform corresponding actions. The technical problem that the cloud testing process in the prior art requires manual participation, resulting in low efficiency of cloud testing of smart home devices, is solved.

The invention relates to the technical field of intelligent cabin testing, and discloses a mobile application cloud testing platform and method, and the platform comprises a bus testing device connected to a vehicle, and a testing terminal connected to the cloud testing platform. The equipment management module is used for managing and controlling hardware equipment accessed to the platform; the test management module is used for managing test items and creating test cases; executing and summarizing results and then generating a task report; the script editing and debugging module is used for compiling, debugging and verifying a test script; the image analysis module is used for analyzing and recognizing image features and positioning screenshot characters; the bus test equipment is used for collecting, sending and receiving bus data; and the vehicle-mounted network is analyzed, and a test result is fed back to the cloud test platform. Interaction between the automobile bus signal and the remote system is achieved, the problems that a traditional testing method is low in efficiency, large in error and incomplete in coverage are solved, and a brand new technical normal form is provided for verification of an intelligent automobile system.

The invention discloses a data transmission testing and optimizing method based on a digital twinning cloud testing platform, and is applied to the technical field of digital twinning. Comprising the following steps: constructing a digital twin model of a physical equipment entity on a cloud test platform, and deploying data acquisition and transmission equipment on the physical equipment entity side to form a digital twin cloud test platform; different working conditions are simulated respectively, and functions of the physical equipment entity are tested through the digital twin cloud test platform; the real-time performance and the consistency of the data transmission process are analyzed; inputting the real-time performance and consistency analysis result, the working condition data and the log data into a data transmission diagnosis model, and identifying a transmission performance reduction reason; and generating an optimization strategy according to the diagnosis result, and carrying out optimization adjustment on the digital twin cloud test platform. According to the method, the problems of insufficient data transmission real-time performance and consistency distortion of the digital twin cloud test platform under complex working conditions are solved, and the test accuracy and reliability are guaranteed.

The invention discloses a BGP (Border Gateway Protocol) service orchestration controller testing method which can be applied to various scenes such as cloud technology, cloud testing and intelligent testing. The method comprises the following steps: transmitting a test routing information table to a target network controlled by a BGP service orchestration controller based on test process orchestration information, so that the target network performs routing scheduling according to the test routing information table; issuing target task information of a to-be-tested task in the arranged test tasks to the BGP service arrangement controller based on the test process arrangement information, so that the BGP service arrangement controller executes the to-be-tested task according to the target task information; after the target task information is issued, collecting a routing transmission condition in the target network based on the test process arrangement information; and determining a test result of the BGP service orchestration controller based on the routing transmission condition. The test efficiency of testing the service orchestration controller is improved.

The present invention provides a method and a system for using spectral data of an analyte, a method and a system for testing an analyte, a medium, and a device, which relate to the field of optical analysis. The method includes: analyzing step: inputting obtained spectral data into a local testing model to obtain information about the analyte, and providing a correction option; information uploading step: after the correction option is triggered, obtaining correction information input by a user, and uploading the correction information and the obtained spectral data to a cloud platform; model training step: using, by the cloud platform, the obtained spectral data as an input and the obtained correction information as an output to train a cloud testing model; and model updating step: updating the local testing model based on a trained cloud testing model.

The invention discloses a digital twin data bidirectional synchronization security test and optimization method based on a cloud test platform, and relates to the technical field of security risk assessment. Comprising the following steps: acquiring a physical entity model and computing equipment information to generate a twin database, generating a digital twin topology model, and generating an attack database based on a preset automatic attack tool; simulating a network attack scene, and predicting an attack range and a hazard degree by using a digital twin topology model; the attack database attacks the physical entity model to obtain an actual attack range and a hazard degree, and compares the actual attack range and the hazard degree with prediction data to obtain an optimized digital twinborn model; and inputting an attack to be predicted into the optimized digital twin model to obtain a model deduction result, further judging a security attack risk, and generating and executing a targeted protection strategy according to the security attack risk. According to the invention, accurate assessment of the security risk of the digital twin system can be realized, and the security and reliability of the digital twin system are improved.

Systems and methods are disclosed for data object testing. One or more processors may receive a video data object. The one or more processors may receive one or more video specifications from a database. The one or more processors may generate an on-demand cloud testing instance having a subset of video analysis tools from a plurality of video analysis tools and computational resources determined based on the video data object and the one or more video specifications. The one or more processors may perform, in the cloud testing instance, a compliance test on the video data object based on the one or more video specifications. generate a compliance output based on the compliance test, the compliance output including instructions or parameters for automatic video editing of the video data object. The one or more processors may provide the compliance output to a downstream component.

The invention relates to the technical field of intelligent network connection vehicle-to-vehicle infotainment application testing, and discloses an on-off specific road section vehicle-to-vehicle infotainment application testing scene building and testing method comprising the following steps: converting a CAN bus signal and an ADB instruction of a vehicle-to-vehicle infotainment into a cloud recognizable communication protocol through a 4G / 5G network conversion module of a cloud testing platform; deploying a signal test terminal on a test vehicle, connecting a USB interface and a CAN interface of the vehicle machine, and collecting state data of the vehicle machine in real time; based on historical traffic data, test routes of typical on-off scenes including peak congestion road sections, tunnels and viaducts are planned, and longitude and latitude coordinate sequences of the routes are obtained. According to the invention, automatic testing in a drive test environment can be realized through the cloud testing platform, the technical blank of laboratories and drive test scenes is filled, and the testing efficiency and accuracy are improved.

The invention provides a cloud base height detection system and method, and relates to the technical field of meteorological detection, and the system comprises a detector, a detected source and a processing module. The detector comprises at least one sounding module, and each sounding module comprises a sonde and a sounding floating body; and the sonde is connected with the corresponding sounding floating body through a connecting rope with a preset length. The sonde takes self height data corresponding to the moment when the sounding floating body is immersed into the cloud layer as first target height data and transmits the first target height data to the processing module; meanwhile, the cloud bottom height, measured by the detected source at the same time, of the submerging cloud layer of the sounding floating body serves as second target height data and is transmitted to the processing module. And the processing module determines statistical data of the detected source according to the first target height data, the preset length and the second target height data so as to evaluate the cloud base measurement precision of the detected source. On the basis of low cost, the problems of accuracy verification and identification of equipment such as the cloud measuring radar and the like can be effectively solved.

This application discloses a cloud-based full-link stress testing method and related equipment for voice services, relating to the field of cloud testing. The method includes: obtaining historical voice service usage pattern statistics of actual vehicles associated with the target cloud, wherein the historical voice service usage pattern statistics include statistical time period information, number of vehicles calling the voice service information, and average number of times each vehicle calls the voice service information; controlling a simulated vehicle to establish a connection with the target cloud; controlling the simulated vehicle to perform full-link stress testing of the voice service on the target cloud based on the historical voice service usage pattern statistics, and obtaining the test results.