68results about How to "Simplify the deployment process" patented technology

The invention provides a multi-camera hard synchronization method based on a microcontroller, and relates to the technical field of camera synchronization, and the method comprises the steps: enabling a plurality of cameras to be sequentially connected through a synchronization interface, and enabling each camera to be connected with a switch; defining a synchronization source; when each pixel clock runs, the microcontroller of each camera is taken as a core, the microcontroller detects whether a synchronization pulse exists or not, if yes, synchronization is carried out, and when an asynchronous phenomenon occurs, the next camera can receive a synchronization signal sync in of the previous camera, and the microcontroller can judge whether the current synchronization time point is a proper synchronization time point or not; if the synchronization time point is not suitable, waiting for the current camera to capture the current frame and waiting for the next synchronization time point to perform synchronization, if the camera does not receive the synchronization signal sync in of the previous camera, performing internal synchronization after capturing one frame by the microcontroller, and after the internal synchronization is completed, retaining the synchronization state information of this time; and checking in the next execution period.

The invention belongs to the technical field of cloud computing, and discloses a lightweight multi-domain hyper-fusion platform construction method compatible with heterogeneous hardware resources, which adopts a lightweight hyper-fusion platform architecture compatible with the heterogeneous hardware resources, converts physical resources into virtual resources on a virtual machine based on a KVM (Kernel-based Virtual Machine), shields the difference of underlying hardware, and improves the performance of the platform. According to the method, heterogeneous storage resources are integrated based on Ceph, and storage devices of different manufacturers are integrated into a unified storage pool through a distributed storage technology without being limited by types of bottom hardware devices. Through the SDN technology, the OpenStack network service can decouple a network control plane and hardware, and unified management of different network devices is realized. Through a virtualization technology and an automatic management tool, a simplified elastic expansion solution is provided, and changes of resource demands are easily coped with.

The invention discloses an automatic high-precision assembly system and method based on visual feedback, belongs to the technical field of automatic assembly, and solves the problem that an existing scheme is insufficient in the aspects of automatic integration and actual usability. Comprising an embedded control unit, an XYZ Cartesian sliding table, a limiting sensor, a visual sensor, a visual mark and an upper computer processing unit, the embedded control unit is connected with the upper computer processing unit, and the embedded control unit is used for receiving a control instruction and feeding back state information. The embedded control unit is connected with a motor driver of the XYZ Cartesian sliding table and used for sending a motion control signal, and the embedded control unit is connected with the limiting sensor and used for receiving a switch signal. Working space boundary recognition and automatic calibration of the camera-robot hand-eye relation are achieved, the configuration and deployment process of a visual guidance system on the XYZ sliding table is greatly simplified, the requirement for professional skills of operators is lowered, and deployment efficiency is improved.

The invention relates to the field of intelligent monitoring, and discloses a machine room wild animal intelligent defense system based on a millimeter wave radar, which comprises a signal capture module, a signal processing module, a feature extraction module, a classification tracking module and an alarm linkage module, the signal capturing module collects target reflection signals through a millimeter wave radar, the signal processing module carries out multi-target separation and interference suppression on the signals, the feature extraction module extracts time-frequency characteristics and motion track characteristics of targets, and the classification tracking module classifies the targets and tracks the motion states of the targets in real time. And the alarm linkage module evaluates the threat level according to the classification result and triggers corresponding defense measures. The system can accurately identify and track targets, timely respond and execute defense actions, has the advantages of high precision, multi-target monitoring, real-time dynamic tracking, intelligent defense and the like, and can effectively guarantee safe operation of machine room equipment.

The invention provides a multi-reflection superposition enhanced microwave displacement measurement method and system, and the method comprises the steps: S1, constructing a microwave multi-reflection propagation path, enabling a microwave radar to transmit electromagnetic waves to the microwave multi-reflection propagation path as a transmission signal, and receiving a corresponding echo signal; s2, extracting length change information of a microwave multi-reflection propagation path according to the echo signal; s3, establishing a linear superposition relation model between the total length of the microwave propagation path and respective displacements of W reflection surfaces in the microwave multi-reflection propagation path; w2; and S4, based on the linear superposition relation model, displacement information of the corresponding reflection surface is obtained and output. According to the invention, a larger phase variation can be obtained under the condition of small displacement or weak vibration, so that the measurement sensitivity is improved and the signal-to-noise ratio is improved.

The invention discloses an installation method of an operating system, a cluster system, a server and a medium, and relates to the technical field of computers. And determining a server type and a target operating system corresponding to each client according to the identification information corresponding to the target demand, and configuring a startup mirror image corresponding to each server type. The server model is automatically identified through the identification information, so that the target operating systems of different platforms can be installed subsequently, the operating systems of specific types of platforms can be installed, and the operating systems of different platforms meeting target requirements can be installed subsequently in batches. According to the embodiment of the invention, each update object of the starting environment corresponding to the target operating system is packaged in a modular manner, and the whole operating system does not need to be manually deleted for updating during subsequent update iteration, so that the starting environment to be updated is determined in the modular manner; and running the to-be-updated starting environment to perform installation processing on the starting mirror image by using the packaged module information, thereby realizing version updating iteration operation, and improving the deployment efficiency of batch deployment and installation of the operating systems by the server.

The invention provides a large-array intelligent metasurface codebook optimization and switching method and device, and belongs to the technical field of wireless communication. Aiming at the problem of low efficiency of a traditional codebook selection method in a high-speed moving scene of a user, the invention provides an intelligent optimization method and device, which can efficiently position optimal codebook configuration in a codebook library through a quick search mechanism. According to the method, in combination with signal-to-noise ratio feedback driving, multiple groups of configurations in a codebook library are tested step by step, and a gain optimization module is combined, so that the optimal beam forming effect is achieved, and the method does not need to depend on accurate position information of a user. Besides, a clockwise adjacent codebook test strategy is introduced, the redundancy calculation and traversal time is shortened, and it is ensured that in the user moving process, codebooks can be rapidly switched, and stable communication quality is kept. The algorithm has the advantages of real-time response and complexity reduction, is suitable for 5G and other high-speed mobile communication scenes, and effectively improves the signal transmission efficiency and the communication reliability.

The invention discloses an automatic advertisement screenshot and container automatic expansion method and system in a virtual desktop environment. A virtual display capable of exporting a DMA-BUF is created by deploying a Virtual Display Driver in a kernel of a host machine, and after Chrome is driven by Puppeteer to complete hardware acceleration rendering in a container, zero-copy desktop-level screenshot is carried out on a shared memory frame buffer by utilizing desktop-script-native; and meanwhile, a Kubernetes CRD unified database task and a declarative API are adopted, a Redis Stream second-level index and a predictive HPA algorithm are combined to realize advanced delta t capacity expansion of Pod, and the P99 queuing delay is ensured to be less than 2s. According to the method, single-node concurrency is improved by 3.2 times without extra hardware cost, CPU occupation is reduced by 45%, WebGL / Flash advertisement fidelity is 100%, and the method is suitable for cloud advertisement verification, brand security and programmed creative monitoring scenes.

The invention provides a device, a method and equipment for small target image detection and classification. The device for small target image detection and classification comprises an image input module, a feature extraction module and a detection or classification module. The image input module is used for processing an acquired image and inputting the image to the feature extraction module; the feature extraction module is used for extracting the features of the image through a feature extraction model to obtain the coordinate information of the small target; and the detection or classification module is used for cutting out local feature blocks on the feature map according to the coordinate information of the small targets and inputting the local feature blocks into a decision head to obtain the feature information of all the small targets in the image. The method can avoid the repeated calculation of the same features, thereby reducing the calculation amount, and improving the utilization rate of calculation resources.

The invention discloses an event alarm reporting processing method for large-scale ONVIF equipment access, and belongs to the field of security and protection video monitoring. Registering channel static information to the data sharing center after the ONVIF equipment is online; the ONVIF equipment access service sends an event subscription request carrying an event receiving service unified address and an equipment identification subscription code to the equipment; after the equipment triggers the event, stateless connection is initiated to the uniform address, and the event is dynamically forwarded to any event receiving service instance by the platform load balancer; and the event receiving service analyzes the event to obtain the channel identifier, queries the data sharing center to obtain complete channel information, and reports the information to the platform alarm center after integration. According to the invention, decoupling of event subscription and processing is realized, and through stateless service, unified port and centralized data management, the problems of poor reliability, many exposed ports, uneven load and complex capacity expansion under large-scale access are solved.

The invention discloses a dual-mode carrier communication system and method based on a security encryption ad hoc network, and provides a solution capable of automatically constructing and maintaining network connection by combining an ad hoc network technology, a carrier communication technology, a security encryption technology and a standardized protocol. The system not only supports the plug and play of equipment and simplifies the network deployment and management, but also improves the data transmission efficiency and the capability of supporting large-scale terminal equipment by adopting the orthogonal frequency division multiplexing modulation technology and the IPv6 protocol; a built-in security chip and a domestic cryptographic algorithm are used for realizing strong and effective bidirectional identity authentication and data encryption, so that the security and the reliability of communication are ensured; the application of deep learning routing further optimizes the network performance, dynamically adjusts the optimal path according to the real-time network condition, and enhances the flexibility and robustness of the system. Generally speaking, the system significantly improves the stability and safety of broadband power line carrier communication, and provides solid technical support for smart power grid application scenarios.

The invention discloses a hot-rolled plate structure toughness prediction method and system combined with an impact energy change curve, and belongs to the technical field of metal material structure performance evaluation.The method comprises the steps that an impact test is conducted on a hot-rolled plate sample, and an impact force-displacement curve and an energy absorption-time curve are collected in real time; preprocessing the impact force-displacement curve and the energy absorption-time curve, and extracting characteristic parameters; acquiring hardness distribution data of the hot-rolled plate sample, acquiring hardness gradient data by using the hardness distribution data, and taking the hardness gradient data as a correction factor of the curve characteristics; constructing a structure toughness prediction model based on the characteristic parameters and the correction factors, and predicting the toughness grade and the structure state of the hot-rolled plate; and outputting the toughness grade and the structure state of the hot-rolled plate. According to the method, the limitation that traditional metallographic detection consumes too long time and an impact test only provides a single value is solved, double evaluation results can be obtained within 30 seconds after the impact test, and the method is suitable for rapid online quality monitoring and process adjustment of hot rolling production.

The invention relates to a compiling method based on zero codes, which belongs to the field of system development and comprises the following steps that: (1) a user selects a compiling item as required; (2) performing program compiling based on the selected compiling project, wherein an executable program file required by the program compiling is provided through a project compiling warehouse; and (3) program burning is carried out, and a user downloads the program. The method has the advantages that usability is achieved, a user can select compiling items without compiling codes, the programming threshold is greatly lowered, and non-technical users can also participate in the program compiling process. And rapid development: through a preset compiling project, a user can rapidly start a program compiling process, and the starting stage of a software development cycle is accelerated. The compiling process is simplified into several basic steps, complexity in traditional programming and compiling is reduced, and the whole development process is clearer and easier to manage.

The invention discloses an HTML (Hypertext Markup Language) code rendering method and device of a Web page and a computer program product.The method comprises the following steps: firstly, acquiring a Vue component of a target Web page, and then compiling the Vue component into an HTML file, a CSS (Cascading Style Sheet) file and a JavaScript file; then, a preset code is injected into the HTML file to generate a DSL code; then, a CSS file and a JavaScript file can be used for converting the DSL code into a GoTemplate file, and then, the DSL code is converted into the GoTemplate file; secondly, compiling the dynamic object into a binary file, and obtaining real-time data of the dynamic object in the binary file; finally, then HTML rendered text may be generated based on the real-time data and the binary file; therefore, rendering of a traditional Node.js server side is converted into server side rendering of the Go language, so that a Go program is directly operated in a binary file after being compiled; on the basis of the method, the execution speed of code rendering can be increased without additionally deploying a running environment and carrying out code interpretation, so that the loading response speed of the Web page is increased.

According to the radio frequency device behavior model parameter extraction method based on transfer learning, the polynomial model coefficient is extracted through the neural network model, the data size needed for building the neural network model is reduced, the portability and optimization efficiency of the model are improved, seamless integration of the neural network model and EDA software is achieved, and the performance of the neural network model is improved. The progress of the electronic design process is accelerated; the neural network model uses the test model in the old working state as the starting point of the new working state, so that the model coefficient is prevented from being re-extracted, and the test time and the instrument cost are saved.

This invention discloses a server deployment method, apparatus, electronic device, storage medium, and program product. Specific implementation includes: determining a deployment task and a server to be deployed as indicated by the deployment task; determining a startup mode corresponding to the server to be deployed based on the deployment task; determining a basic configuration file corresponding to the server to be deployed based on the startup mode; determining a file to be deployed based on the startup mode and the basic configuration file; and downloading the file to be deployed to the server to be deployed. By determining the deployment task through a device evaluation platform, automatic deployment of the server to be deployed is achieved. Determining the basic configuration file ensures consistency during deployment by the device evaluation platform. Downloading the file to be deployed to the server simplifies the deployment process, reduces manual operations, and provides a stable and reliable operating environment for upper-layer services.

The invention provides a smart agricultural trade multi-terminal distributed information interaction and synchronization system, and relates to the technical field of agricultural trade management, the smart agricultural trade multi-terminal distributed information interaction and synchronization system comprises a local smart collaboration edge network layer deployed in the market and a remotely arranged cloud collaboration center layer, the smart collaboration edge network layer is composed of a plurality of edge collaboration nodes, the edge collaboration node comprises a unified access adaptation module, a local real-time message bus module, a distributed state synchronization module and an edge rule calculation module. The unified access adaptation module standardizes the access of heterogeneous terminal equipment through a unified object model description framework, and is combined with centralized template management provided by the object model warehouse module of the cloud collaboration center layer, thereby greatly reducing the complexity of equipment access, model updating and iteration, and improving the efficiency of the cloud collaboration center layer. And the strategy and rule management module realizes remote unified editing and issuing of service rules in the edge rule calculation module, and simplifies the deployment of service logic and the version management and control process.

The utility model provides an edge computing protocol conversion device for intelligent heating, and belongs to the field of protocol conversion devices. The problems of redundancy of high configuration functions and insufficient low configuration computing power of the existing protocol conversion equipment in actual use are solved; comprising a shell, a main control circuit board is fixed in the shell, an RJ45 interface used for being connected with an RS485 communication line, a power line and a serial port is formed in the shell, a power module, an RS485 communication interface chip and an MCU module are integrated on the main control circuit board, the MCU module is connected with the RS485 communication interface chip, and the MCU module comprises a WIFI module, a Bluetooth module, a built-in storage module and a logic module. The built-in storage module stores device types of power supply devices and protocols corresponding to cross-manufacturer devices, the MCU module exchanges data with the RS485 communication chip through a UART serial port, the MCU module sends the recognized device types and corresponding protocol data to the WIFI module through the serial port, and the WIFI module sends the data to an upper layer device; the protocol converter is applied to equipment protocol conversion in the heating and ventilation field.

The present invention discloses a log data processing method, device, equipment and medium of a distributed system, and relates to the field of data processing technology. The method comprises: sending a log index request to each server in the distributed system to obtain incremental log index data returned by the server; obtaining a log query request from a user; the log query request carries a unique tracking number; based on the unique tracking number in the log query request, sending a log extraction request carrying the same unique tracking number as the log query request to the corresponding server to obtain log fragments returned by at least one server; merging the log fragments by timestamp to obtain integrated log data, and sending the integrated log data to the user. The present invention solves the deficiencies of existing log management technologies in terms of resource consumption, deployment and maintenance complexity, query efficiency and scalability, and provides a more efficient, flexible and cost-effective log management solution for distributed systems.

The present application relates to the technical field of robots, and in particular to a motion generation method, system, device and storage medium for a humanoid robot, comprising: physical simulation rendering generates a visual video containing visual representation of joint motion state of the robot; analyzing the visual video to obtain frame images, natural language instructions and motion sequences, decoding output trajectory data; and outputting control instructions through a hierarchical architecture of high-level motion planning and bottom-level dynamics tracking to drive the robot to perform actions. The present application implicitly encodes the joint state of the humanoid robot in the visual features, improves the inference efficiency and generalization ability of the model, and the hierarchical decoupling architecture of the large model high-level trajectory planning and the reinforcement learning bottom-level dynamics tracking controller pays a small performance cost, which can compress the inference time delay to within 50ms and the parameter quantity to below 2 billion, and balances the high generalization of the stateless VLA and the small model, few-step inference, edge low latency, and low power requirement.

The invention discloses a light source irradiation distribution measurement system and method based on a multi-rotor unmanned aerial vehicle, and belongs to the technical field of light source irradiation distribution measurement, and the system comprises a photoelectric detector which is statically disposed on the ground; the multi-rotor unmanned aerial vehicle is a carrying and power supply carrier of airborne equipment; the airborne high-precision pointing holder is mounted on the multi-rotor unmanned aerial vehicle and carries a light source to be measured and a camera; the clock synchronization module is carried on the multi-rotor unmanned aerial vehicle and the data acquisition and processing equipment and is used for realizing clock synchronization of the airborne high-precision pointing holder and the data acquisition and processing equipment; the data acquisition and processing equipment is statically deployed on the ground and controls the photoelectric detector to work; and the high-precision positioning module is carried on the multi-rotor unmanned aerial vehicle and obtains the real-time position of the multi-rotor unmanned aerial vehicle by adopting a positioning technology. According to the invention, difficulties in the aspects of site selection, equipment layout control, equidistant interval sampling and the like when the long-distance irradiation distribution of the large-beam divergence angle light source is measured can be solved.

The utility model relates to a multifunctional spray bottle body belongs to daily necessities technical field. The bottle body is equipped with multi-specification adapter, can be adapted to multiple nozzles to realize repeated use, is equipped with multiple clamping grooves for fixing nutrient solution / medicine bottle, combines with scale rubber ball liquid taking pipe to realize accurate liquid taking, side face designs water inlet and hopper structure, is convenient for quick dispensing of medicinal liquid. The adapter, the nozzle, the liquid taking pipe and the bottle body adopt interference fit, the clamping groove and the medicine bottle are small interference fit, and the hopper is fixed through wedge assembly. The utility model realizes nozzle multifunctional adaptation, accurate dispensing of medicinal liquid and quick replenishment, convenient operation, and is suitable for different plant maintenance needs.

The invention discloses an application program deployment and management method and device, electronic equipment and a storage medium, and the method comprises the steps: responding to a container construction command, and constructing a container mirror image of an application program according to a mirror image construction file; in response to the resource creation command, creating a resource object in the Kubernetes cluster according to the Kubernetes list file, the resource object being used for configuring a use mode of the container mirror image; and deploying and managing the container mirror image based on the resource object. By the adoption of the scheme, efficient application program deployment and management can be achieved when large projects and complex applications are processed.

The present invention relates to the field of software development technology, and specifically to a WebSocket-based image and software deployment management method in a DevOps application scenario. A WebSocket-based image and software deployment management method in a DevOps application scenario is characterized by: comprising a DevOps module for providing a front-end interactive interface, deployment management, and command issuance; a c7n-agent module for interacting with DevOps, responsible for executing commands, returning application running status information, and host status information; a database server for storing data information; a file storage server for storing user-uploaded custom software; a nexus server for storing Jar products; a docker image warehouse for storing docker images; compared with the prior art, a WebSocket-based image and software deployment management method in a DevOps application scenario is provided, which incorporates the host into DevOps management, simplifies the deployment process, and enables users to quickly deploy images and software to the host, greatly improving the efficiency of application publishing and deployment.

The invention discloses an on-cloud scheduler conflict detection method based on a formalization method, and the method comprises the following steps: 1, inputting and / or importing an affinity and / or anti-affinity rule, converting the affinity and / or anti-affinity rule into a unified intermediate representation form constraint, shielding grammatical and semantic differences for affinity and / or anti-affinity expression among different schedulers; step 2, converting the intermediate representation form obtained by conversion in the step 1 into a format which can be identified and processed by a solver again, and converting an affinity and / or anti-affinity management problem into a formalized satisfiability problem; and step 3, checking the satisfiability of the constraint set through a solver, and for the unsatisfied rule, positioning the source file of the conflict rule and the position of the unsatisfied rule in the source file according to the metadata. The invention also discloses a conflict detection system for realizing the conflict detection method, and application of the method or the system.

The invention provides a model optimization method and computing equipment, which are used for multi-engine edge computing equipment, and the method comprises the following steps: loading an original model structure of a computing model; splitting the original model structure to obtain a multi-engine model structure; inserting a synchronization operator into the multi-engine model structure to obtain a multi-engine synchronization model; and loading the multi-engine synchronization model to an edge computing device to execute model operation, the edge computing device comprising a plurality of computing engines, and the plurality of computing engines synchronously executing the multi-engine synchronization model based on the synchronization operator. According to the technical scheme, the data processing capacity of the multi-engine model can be optimized, the model execution efficiency is improved, and the complexity of the model development process is reduced.

This invention relates to the field of computer vision and image processing technology, and discloses a method, apparatus, device, and storage medium for calculating camera aiming points. The method improves the calculation accuracy and robustness of the camera's main optical axis aiming points by introducing a distance-based inverse weighted fusion mechanism, and can adaptively suppress errors caused by lens distortion. Specifically, the method dynamically adjusts the weight of each marker aiming point in the fusion result by calculating the distance from the geometric center coordinates of the marker to the center coordinates of the image, so that the marker aiming points closer to the main optical axis contribute more to the final result. Through weight adjustment, even in extreme cases where the camera is shooting at close range with a skewed viewing angle or where some markers obscure the image and cause severe distortion, it can still output smooth and near-true aiming point coordinates, effectively avoiding severe aiming point jitter caused by individual marker recognition jumps, and eliminating the need for complex lens intrinsic parameter calibration and distortion correction calculations, thus simplifying the system deployment process.

The invention provides a method for managing and quickly calling an algorithm model at a web end, which relates to the technical field of computer software, and comprises the following steps: S1, completing the building and training of the algorithm model on a local computer, and carrying out the installation of a Python compiling environment and a dependency package for algorithm models with different task requirements, and S2, respectively loading algorithm models based on the test flight model and trend prediction, and respectively training the algorithm models according to historical test flight parameters. According to the method for managing and rapidly calling the algorithm models at the web end, the Docker is used for managing the multiple Python algorithm models, the consistency of development, test and production environments can be guaranteed, the environment consistency is crucial to the stability of the algorithm models, independent operation of the multiple algorithm models is facilitated, and the efficiency of the development, test and production is improved. And meanwhile, a Docker container is utilized to package a package on which the Python algorithm model depends and an environment variable together, so that the deployment process can be simplified, and more containers can be quickly started to share a load during large-scale deployment or traffic peak so as to realize quick deployment and calling.

The invention discloses a containerized application access management method, a storage medium and equipment. The method comprises the following steps: initializing a k3s cluster; a user initiates a container mirror image construction request to the BuildKit service, construction parameters are transmitted to the BuildKit service, and the BuildKit service executes construction of the container mirror image according to the construction parameters; dynamically selecting a constructed container mirror image through form parameters, and generating a chart packet according to a chart packet generation rule; the method comprises the following steps of: packaging a chart packet into a. Tgz format, putting the chart packet into a k3s-Server-state directory of a k3s cluster, and deploying an application to the k3s cluster through helmController service; and configuring a Traefik route of the k3s cluster to generate an externally accessible route, enabling external access to enter the k3s cluster through the Traefik route, completing request processing and returning a response. According to the invention, the complex Kubernetes deployment process is simplified, the resource utilization is optimized, the mirror image construction and deployment speed is accelerated, the flexibility and expandability of the access management system are enhanced, and high security and reliability are ensured.

The utility model relates to the technical field of photovoltaic power generation systems, in particular to a temporary channel for maintenance of a photovoltaic module array, which is convenient for maintenance and replacement of photovoltaic modules. The temporary maintenance channel support comprises a bearing bottom plate, limiting structures arranged on the two sides of the bearing bottom plate and fastening bolt holes penetrating through the bearing bottom plate. The temporary maintenance channel plate comprises a walkway and supporting legs fixed to the lower portion of the walkway. Wherein the temporary maintenance channel supports are fixed on the photovoltaic module mounting guide rails through the fastening bolt holes, the supporting legs are inserted into the limiting structures to form detachable connection, and the plurality of temporary maintenance channel plates are sequentially erected on the supports to form a temporary maintenance channel extending to the position above the target photovoltaic module from the fixed maintenance channel. According to the utility model, the arrangement of fixed maintenance channels can be reduced, the laying area of the photovoltaic assembly is enlarged, and any photovoltaic assembly does not need to be dismounted when the photovoltaic assembly is maintained and replaced.