25results about How to "Flexible call" patented technology

The invention provides a multi-agent cooperation system, which comprises a multi-agent cooperation engine module, a task decomposition and distribution module and a tool calling normal form module, and is characterized in that the task decomposition and distribution module is used for decomposing tasks and distributing decomposed sub-tasks to agents; the multi-agent cooperation engine module is used for managing cooperation and communication between agents; and the tool calling module enables the intelligent agent to dynamically call different tools. According to the multi-agent collaboration system, the collaboration efficiency among the agents, the flexibility of task decomposition, the adaptivity of tool calling and the intelligent level of user interaction are remarkably improved, and remarkable technical advantages and effects are shown in complex task processing and dynamic environment processing.

The invention discloses a visual arrangement system and method for urban rail cloud simulation test resources, and aims to assist a user to conveniently and efficiently arrange a simulation test service scene, convert the service scene into a template, namely a reusable service scene architecture script, and enable a scheduling engine to schedule the simulation test service scene according to template data information. The method comprises the following steps: respectively docking with an on-cloud platform, an under-cloud system and a simulation interface, establishing a simulation test scene instance of a service system from the on-cloud to the under-cloud, and enabling a user to carry out the simulation test work of the service system on the scene instance. According to the method, a certain resource can be selected as a template to be stored, when needed in the follow-up simulation test process, a template file is flexibly called, the environment is pulled up and deployed through a scheduling engine, the problem that the resources of the test environment are limited is solved, and the convenience and efficiency of cloud simulation environment scene construction are improved.

The invention provides an unmanned aerial vehicle intelligent adaptive scheduling method and system based on a large model, and the method comprises the steps: carrying out the type selection of a large model according to the specific task demands and computing resources of an unmanned aerial vehicle system, and carrying out the fine adjustment of a specific task field of the selected large model; integrating a plurality of professional models for executing different task requirements in the unmanned aerial vehicle system; for different task scenes, large model analysis judges whether a specific professional model needs to be activated or not, and the professional model is selected for task processing when needed; the large model confirms a professional model needing to be called, and automatically extracts and transmits required parameters to the professional model based on the collected environment information and task instructions; and the professional model receives the parameter information transmitted by the large model, executes the corresponding subtask, and feeds back an execution result to the large model, so that the large model performs continuous learning optimization. According to the invention, the unmanned aerial vehicle can complete the task more quickly, and the accuracy and reliability of task completion are improved.

The present invention provides a fully digital laser frequency stabilization system based on a system on chip, which includes a board-level power supply module, a signal generation module, a data acquisition module, a digital signal processing module, a peak search module, a PID module, a data output module, a data cache module and a data communication module; the digital signal processing module and the signal generation module use the FPGA chip of the system on chip; the digital signal processing module is used to demodulate and low-pass filter the reflected signal of the frequency stabilization optical system; the signal generation module is used to generate a swept frequency sawtooth wave signal, a modulated sine signal, and an IQ demodulated sine and cosine signal; the PID module is based on the ARM processor of the system on chip, and the PDH error signal is subjected to a PID algorithm to obtain a PZT feedback control signal and a temperature feedback control signal. The present invention uses the system on chip as the control core, the FPGA chip is responsible for data acquisition, digital signal processing, and data output, and the ARM processor is responsible for the PID control algorithm and inverse tangent calculation, and can stabilize the output optical frequency of the laser.

A verification platform for a SPI interface storage unit controller based on UVM is divided into different verification stimuli according to single-line, four-line and eight-line modes and different AHB, AXI buses and command and XIP access modes, which can realize the calling of different working modes and the use of mixed modes; when the SPI interface storage unit controller has a design update, faster and better transplantation and reuse can also be realized. The present invention adopts independently encapsulated amba axi write channel proxy module, amba axi read channel proxy module and amba ahb proxy module, so that it can be widely used in other module verification platforms with such protocols, reduce debugging workload, save development cycle, and also can flexibly and conveniently realize the replacement of the current verification platform bus interface.

The embodiment of the invention provides a hierarchical SWAT proxy model modeling method and device based on machine learning, and the method comprises the steps: combining a BMPs parameter combination sample with meteorological drive data, and generating a first sample needed by an SWAT model; inputting the first sample into an SWAT model, and outputting sub-basin scale data and river section scale data by the SWAT model; taking the sub-basin scale data as a label corresponding to the first sample, generating a second sample required by the river process agent model according to the sub-basin scale data, and taking the river section scale data as a label corresponding to the second sample; training the first machine learning model by using the first sample and the corresponding label to obtain a sub-basin agent model; training a second machine learning model by using the second sample and the corresponding label to obtain a river process agent model; and connecting the two in series to obtain a layered SWAT proxy model. In this way, the universality of the SWAT proxy model can be enhanced.

The embodiment of the invention provides an application test method and device, equipment, a readable storage medium and a program product, and the method comprises the steps that a client selects a plurality of test cloud real machines from a plurality of cloud real machines, and stores an obtained test instruction, test configuration data and a reference program interface image into a database; the test cloud real machine obtains test data including a test code and a reference program interface image according to the related data in the database; running the to-be-tested application program according to the test code; acquiring a test interface image; determining a test result of the to-be-tested application program according to the test interface image and the reference program interface image, and storing the test result in a database; and the client determines a target test result according to the test result of the to-be-tested application returned by each test cloud real machine acquired from the database. According to the method provided by the embodiment of the invention, the application program can be tested by using the cloud real machine to obtain the test result, so that the application test efficiency is effectively improved.

The present application relates to the technical field of machine vision, in particular to a kind of robust visual detection system of ton bag goods based on multi-cluster feature fusion and posture correction drive, the system includes non-local mean enhancement module, multi-feature clustering fusion module, geometric feature extraction module, dominant posture clustering module, posture correction transformation module and goods segmentation determination module, non-local mean filtering is carried out to the original image of ton bag goods to obtain enhanced image, the present application is equipped with non-local mean enhancement module and multi-feature clustering fusion module, can realize the efficient enhancement of ton bag goods image and multi-dimensional feature fusion, the space alignment weighted superposition of color cluster and texture cluster is generated Fusion segmentation chart, let the feature representation of ton bag goods homogeneous region be more comprehensive, accurate, effectively improve the integrity and effectiveness of geometric feature extraction, so that the feature analysis ability of system to ton bag goods image is significantly improved.

This invention, entitled "An Autonomous Driving Interaction Scene Prediction Method," belongs to the field of autonomous driving technology. The technical problem this invention aims to solve is that existing autonomous driving interaction prediction methods suffer from problems such as separation of prediction and planning, lack of interaction game modeling, inconsistency between trajectory and decision-making, heavy rule dependence, and significant information transmission loss, failing to achieve optimal overall decision-making for the interaction scene. The key technical solution is as follows: Through three-level hierarchical processing at the scene, decision, and trajectory levels, input data such as the predicted vehicle, the host vehicle, and the environment are obtained to complete interaction type classification and obstacle screening; the dominant party is determined based on cost calculation, and then marginal probability prediction is performed for the dominant party and conditional probability prediction for the dominated party based on the dominant relationship. Through alternating iterations, a consistent predicted trajectory of social vehicles and planned speed sequence of the host vehicle are output. The scene and decision results can be used as intermediate supervision items.

The invention discloses a distributed photovoltaic acceptance capability optimization method and system, relates to the technical field of electric energy dispatching, and remarkably improves the acceptance capability and operation efficiency of a distributed photovoltaic system through refined photovoltaic power management. Through electric power acquisition, time period division, equipment screening and intelligent scheduling technologies, the system can realize full-process optimization of photovoltaic power generation from generation to utilization, and the economic value and utilization rate of renewable energy sources are maximized; by monitoring photovoltaic power generation power in real time and intelligently managing energy storage equipment, the system can store redundant electric energy or merge the redundant electric energy into a power grid when the power generation power is excessive, and flexibly call energy storage or power grid resources when the power generation is insufficient, so that the continuity and stability of power supply are ensured; according to the multi-dimensional and multi-strategy energy management method, the adaptability and reliability of renewable energy sources are remarkably improved.

The application provides a pre-treatment-integration-based offshore wind power discrete event simulation constraint condition integration simplification method, system, device and medium, and is oriented to complex offshore wind power construction simulation. Before simulation starts, possible influencing factors in the simulation process are processed, and are integrated and simplified into a simulation time axis, so that the simulation time axis can be flexibly called in the simulation process. The method provided by the application comprises the following steps: establishing basic simulation content, obtaining limiting conditions affecting construction, establishing an influencing factor model, pre-processing various influencing factors, integrating and generating a process executable time axis, and calling the process executable time axis. On the premise of ensuring simulation efficiency, various factors affecting offshore wind power construction are reasonably analyzed and judged, and the method is suitable for a realistic construction environment and has flexibility and higher confidence.

The utility model belongs to bird repelling equipment technical field, solve the low reliability, the effect is not good's insufficient of present technology for driving bird, provide bird repelling unmanned plane, bird repelling unmanned plane includes: the casing, be equipped with the flight drive spare on the casing body, a pair of sound production device, wherein at least one work to produce the sound production of bird repelling, fixed assembly, a pair of sound production device are fixedly on the both sides of casing symmetry. The utility model provides, bird repelling unmanned plane has the advantages that the reliability of bird repelling is high, and the effect is good.

The invention relates to a crop phenotype information generation system for unmanned aerial vehicle multispectral remote sensing images. The method comprises the following steps: acquiring remote sensing images by using an unmanned aerial vehicle with a multispectral sensor and a visible light sensor; constructing and using a user-defined vegetation index calculation module, and extracting characteristic variables with biological significance from the data; performing preliminary screening on all vegetation indexes; carrying out model training, and carrying out system evaluation on a training result by adopting multiple performance evaluation indexes; loading the trained model to carry out field prediction; predicting and generating a two-dimensional prediction image consistent with the original image in size; the topdressing amount is calculated, and a fertilization prescription map suitable for guiding agricultural machinery operation is generated in combination with the unmanned aerial vehicle remote sensing image and the grid width input by the user. According to the method, full-chain visualization from remote sensing data preprocessing to prediction result output, crop parameter inversion estimation and farmland management prescription map automatic generation functions are realized, and an intuitive decision support tool is provided for precision agricultural practice.

The present invention discloses a method for calling a Unity scene from a Web client JavaScript, comprising: a JavaScript code module running on a browser transmits JavaScript code information required to be executed to a Unity scene through JSBridgeSDK; the Unity scene executes the JavaScript code required to be executed using JSBridgeObject; if there is a return result, the result is transmitted back to the browser from a C# callback function in the Unity scene through an agreed JavaScript method. The present invention enables JavaScript running on a browser to flexibly call Unity SDK functions, and implements scene functions through JavaScript code.

The invention discloses a method for measuring the specific gravity of converter slag, relates to a steelmaking technology, and aims to ignore the influence of the slag blocking effect caused by the specific gravity change of the converter slag in the prior art. Comprising the following steps: extracting converter slag from a converter, cooling to obtain a test sample, weighing the test sample by using an electronic scale with the accuracy of 0.1 g, measuring the volume by using a measuring cylinder containing distilled water, and finally calculating the specific gravity of the test sample. The method has the advantages that the slag proportions of the converter under different conditions are obtained by weighing the converter slag with different slag alkalinity and measuring the volume, and data support is provided for reasonably selecting the converter slag stopping plug and improving the slag stopping qualification rate. The method is simple, convenient and applicable to operation, has few risk factors to people, can quickly measure the specific gravity of various slag of the converter to guide production, and can flexibly call more than two slag stopping plugs on the premise of ensuring the tapping time to reduce the occurrence of slag tapping times.

The invention discloses an implementation method of a universal network security interoperation interface, a storage medium and equipment, and belongs to the technical field of network security. The method comprises the following steps: extracting a universal function of interoperation of a network security product, designing a technical architecture of the universal network security interoperation interface, the technical architecture comprises a standardized language layer, a standardized control layer and a customized script calling interface. Defining a standardized language layer, and performing unified access management on network security products by using a network security interoperation language; defining a standardized control layer, and realizing interoperation between network security products by using a network security interoperation language; and defining a customized script calling interface to realize flexible calling of the application layer. According to the method, the general function of interoperation of network security products is extracted, a set of general interface technical architecture is designed, and the interface method is called by a standardized language layer, a standardized control layer and a customized script, so that the realization of a general network security interoperation interface is completed, and the overall defense efficiency is improved.

The present application discloses a method and device for allocating the contribution of a virtual power plant to demand response, which relates to the field of contribution allocation, including: obtaining the internal resources of a virtual power plant when virtual power plant control is not adopted and when virtual power plant control is adopted, and calculating the sum of the load values ​​of the internal resources of the virtual power plant when virtual power plant control is not adopted and when virtual power plant control is adopted; calculating the contribution value of the adoption of virtual power plant control to participate in the demand response market to alleviate the power supply and demand gap of the power grid; calculating the contribution difference before and after different virtual power plant internal resource combinations participate in demand response; calculating the weighting factor of each internal resource of the virtual power plant; calculating the dependence of each virtual power plant internal resource on the overall adoption of virtual power plant control; calculating the contribution allocation value of each virtual power plant internal resource after the virtual power plant control strategy is adopted. The present application can solve the problem of contribution allocation of various types of internal resources of virtual power plants participating in the demand response market in a more scientific, efficient and convenient way.

The utility model discloses a central air conditioning condenser automatic pickling integrated machine, including small trolley, the pickling tank of being evenly arranged on small trolley, pickling agent tank, acid -resistant pump, control mechanism, and the whole pickling tank is "L" type, and acid -resistant pump and pickling tank horizontal section outside side -by -side arrangement, and pickling agent tank is arranged on the horizontal section of pickling tank, and control mechanism is located acid -resistant pump top, and pickling agent tank top surface is equipped with pickling agent injection port, and bottom front side is equipped with pickling agent outlet, and acid -resistant pump bottom front side is equipped with acid -resistant pump pumping outlet, and bottom rear side is equipped with acid -resistant pump water outlet, and pickling tank water outlet, acid -resistant pump pumping outlet, pickling agent outlet are connected through the three -way pipeline of being equipped with three -way valve, and acid -resistant pump water outlet, pickling tank backwater all are equipped with pH value concentration sensor, the utility model has the advantages of nimble and timely call, integrated space layout is reasonable, accurate pickling agent amount adds, operation step is simple and fast, and work safety is improved.

The invention relates to the technical field of machine vision, in particular to a ton bag cargo robust visual detection system based on multi-cluster feature fusion and attitude correction driving. The system comprises a non-local mean value enhancement module, a multi-feature clustering fusion module, a geometric feature extraction module, a dominant attitude clustering module, an attitude correction transformation module and a cargo segmentation judgment module, and non-local mean value filtering is carried out on an original image of the ton bag cargo to obtain an enhanced image; according to the method, the non-local mean value enhancement module and the multi-feature clustering fusion module are carried, efficient enhancement and multi-dimensional feature fusion of the ton bag cargo image can be realized, the fusion segmentation image is generated through spatial alignment weighted stacking of the color clustering cluster and the texture clustering cluster, feature representation of the homogeneous region of the ton bag cargo is more comprehensive and accurate, and the method is more suitable for mass production. The integrity and effectiveness of geometric feature extraction are effectively improved, and the feature analysis capability of the system on the ton bag cargo image is remarkably improved.

The application discloses a kind of tube plate laser cutting equipment and its using method, it is related to laser cutting machine technical field, in tube plate laser cutting equipment, pipe material warehouse, machine tool and plate material warehouse are sequentially arranged along X axis direction, pipe material warehouse is equipped with pipe material feeding mechanism, plate material warehouse is equipped with plate material feeding mechanism, machine tool moves along X axis direction by X axis mechanism;The lower portion of portal frame is also equipped with pipe material lifting mechanism, and the pipe material feeding mechanism is movably connected with the portal frame along the Y axis direction;Pipe material feeding mechanism, plate material feeding mechanism, X axis mechanism, pipe material lifting mechanism, pipe material feeding mechanism, Y axis mechanism, Z axis mechanism and laser cutting mechanism are electrically connected with host computer;The method is: after host computer receives the feeding command of pipe material or plate material, host computer drives machine tool to move to plate material or pipe material feeding station, and the pipe material or plate material feeding mechanism is fed to machine tool.The application can improve the degree of automation of pipe material and plate material feeding, and is beneficial to improve feeding efficiency.

The embodiment of the invention provides an API calling method, system and device and a storage medium. In the embodiment of the invention, a platform for parameter mapping conversion aiming at calling the API is constructed, so that the configuration work of the mapping conversion rule related to calling the API in at least one application end source code is independent; a developer of each application end source code can customize a corresponding mapping conversion rule for each API of the corresponding application end on the mapping conversion platform, and each application end directly calls the required target mapping conversion rule from the platform according to an actual API calling requirement. According to the method, development personnel of each application end do not need to respectively develop the mapping conversion rule of each API in the source code and modify the mapping conversion rule of the corresponding API in the source code when the API is changed, so that the operations of testing / retesting, re-online and the like of the source code required to be executed for developing and modifying the API in the source code are omitted, and the development efficiency of the application end is effectively improved.

The present invention discloses a method and device for local debugging of a microservice system, and relates to the field of computer technology. A specific implementation of the method includes: determining the policy corresponding to the service to be monitored in the microservice system; collecting the configuration information of the service to be monitored according to the policy corresponding to the service to be monitored; generating a call request according to the configuration information; monitoring the service to be monitored using a generalized pattern and the call request, and generating a debugging result. This implementation solves the technical defect of the existing technology that many test environments for dependent services are missing, thereby achieving the technical effect of flexibly calling pre-release services or test environments.

This specification provides a method, apparatus and terminal device for processing a target file. Based on this method, a terminal device equipped with a preset file processing client can first display a preset interactive page associated with the preset file processing client to the user; and through the interactive page, determine the identification information of the target file to be processed, and the target operation type for the target file; then trigger the call of the preset file processing client to interact with the server accordingly to obtain a matching target script file; and then run the above target script file through the preset file processing client to respond and call the local software program of the terminal device according to the user operation, and perform operation processing on the target file that matches the target operation type. Thereby, the diversified operation needs of users can be better met, and various types of operation processing on the target file can be efficiently and conveniently realized by calling the local software program of the terminal device.

The invention relates to the technical field of software development, and particularly discloses an application development method based on graphical programming, which comprises the following contents: S1, interface integration: acquiring an interface of an existing software and hardware system, and establishing an interface resource pool; s2, authority management: obtaining an interface use application of a user; auditing and endowing user interface use permission; s3, interface application: establishing a new application through a preset graphical programming tool; and running the new application, and calling a plurality of interfaces in the resource pool by the new application to complete a new task. According to the technical scheme, data or functions of all the systems can be effectively utilized, work tasks are completed cooperatively, and the work efficiency is improved.