184 results about "Configuration generation" patented technology

The invention belongs to the technical field of data processing, and particularly discloses a computer vision model service scenarized configuration generation method, which comprises the following steps: constructing a basic information database comprising a plurality of computer vision models, the database being used for storing model identification information and feature parameters; extracting structured features of the scene according to a scene analysis engine, wherein the structured features are used for describing operation conditions of the scene; calculating a model matching score according to the structured features and the feature parameters, and obtaining a recommendation model through a multi-condition weight matching function; executing a model selection strategy based on the matching score, and obtaining a model matched with the scene; and generating a configuration file conforming to a predetermined specification according to the recommendation model. The objective of the invention is to solve the problems of low efficiency and error proneness caused by the fact that a computer vision model in the prior art depends on a manual selection model and cannot quickly select and adapt to an optimal model in diversified scenes.

The invention relates to an LLM-based comprehensive modular avionics system resource allocation method and system, and the method comprises the steps: removing a universal semantic module through model pruning, taking an IMA configuration description material as a training corpus, forming a lightweight IMA exclusive large language model which is finely adjusted by the training corpus, collecting a user natural language, analyzing a configuration interaction instruction of the user, and carrying out the resource allocation of the user. And then the configuration interpretation model / configuration generation model is called to execute interpretation and change tasks, so that natural language interaction of resource configuration of the integrated modular avionics system is realized on the basis of ensuring functional integrity, and the change cost of resource configuration is obviously reduced. Compared with the prior art, the method has the advantages that the lightweight LLM is trained and deployed in combination with avionics field knowledge, efficient deployment of the model is realized, and the accuracy of semantic understanding of the model in professional scenes in the avionics field is enhanced.

The invention discloses a large model mixed load-oriented self-adaptive low-delay reasoning configuration generation method and device, computer equipment and a storage medium, and the method comprises the steps: determining a first token generation delay and an adjacent token delay interval which are historically configured on requests with different reasoning configurations, and obtaining tuples to form a configuration performance database, generating a delay prediction model by combining a least square method with the configuration performance database; dynamically dividing the historical request into a plurality of buckets according to the input length and the output length through a self-adaptive bucket dividing strategy; a configuration generator generates reasoning configuration for each bucket according to the input length and the output length of the historical request of each bucket; under the real mixed load, the problems of remarkable resource contention, queue head blockage, KV Cache switching overhead increase and the like are avoided in concurrent execution of long and short requests, and meanwhile, the problem of tail delay amplification is avoided, so that a reasoning system gives consideration to low delay and high throughput among different requests.

The invention relates to the technical field of supervision information processing, in particular to an intelligent supervision method and system based on new energy charging infrastructure service. The method comprises the steps of obtaining supervision target domain data and strategy version records, and generating multi-source standardized data through term dictionary registration and protocol session configuration; performing incremental compensation parameter registration, data hash comparison and missing marking, time anchor point alignment and time window index generation to obtain an alarm event packet; based on the alarm event packet, performing alarm duplication removal, rule matching, work order assembly and operation and maintenance resource loading, and generating a work order distribution record; and carrying out evidence storage load packaging, on-chain verification rule matching, dynamic gridding arrangement and strategy version updating, and finally generating a supervision report. According to the invention, the problems of difficult data fusion, weak transmission integrity guarantee and imperfect supervision closed loop of the multi-source heterogeneous charging equipment are effectively solved, and the accuracy, reliability and automation level of supervision are improved.

The invention discloses a building block report zero-code visualization dynamic design multi-terminal adaptation system and method, and relates to the technical field of data visualization and report generation. The method comprises the following steps: component templated multiplexing: generating a component template with a unique identifier by extracting complete configuration of a configured component, separating basic parameters from instance parameters by adopting a double-layer parameter structure, and maintaining a directed acyclic graph structure through a dependency tracking engine to realize batch synchronous updating; performing multi-terminal intelligent adaptation, constructing a terminal characteristic library to store different terminal parameters, setting adaptive rules for various components, and automatically adjusting the component size, layout and interaction mode by identifying an access terminal; and carrying out visual binding on the business rules, constructing business rule logic through a dragging operator, and establishing rule-component association mapping. According to the method, the component reuse rate is increased by 80%, the report development period is shortened by 70%, and an efficient, intelligent and easy-to-use complete solution is provided for enterprise-level zero code report development.

Techniques for providing a language model with dynamic configuration data for network devices in a network that is then used by the language model to generate network-contextual responses to prompts received at the language model. A network controller may collect configuration data from the network devices where the configuration data includes device configurations of the network devices. The network controller may further receive a prompt from a network operator to which the language model is to respond and identify a relevant device configuration that is contextually relevant to the prompt. Further, the network controller may provide the prompt and the relevant device configuration to the language model, generate, by the language model and using the relevant device configuration, a response to the prompt, and provide the network operator with an indication of the response to the prompt.

The invention relates to the technical field of computers, particularly provides a service building method based on a low-code-free platform, and aims at solving the technical problems that in an existing low-code platform, the coupling degree of a service process engine, a form engine and a rule engine is high, troubleshooting is difficult and the like. The method comprises the following steps: generating a unified metadata model through visual interface configuration, and defining a business process, a form, a business rule instance and an association relationship thereof in a structured mode; analyzing the model and converting the model into deployment configuration information which can be loaded by each engine according to a grammar mapping rule; a coordination rule for coordinating a multi-engine execution sequence and a data interface is automatically generated based on the incidence relation between the instances, and the coordination rule is integrated with deployment configuration information; and driving the corresponding engine to execute the service. According to the method, business and engine decoupling is realized through the unified metadata model, and pluggable replacement of the engine is supported; a collaboration rule is automatically generated through visualization, and the development threshold is reduced; and through unified time axis debugging, the operation and maintenance efficiency is improved.

The invention relates to the technical field of visual configuration, in particular to a digital oil field GIS (Geographic Information System) platform zero code configuration visual management system, comprising a metadata modeling module used for constructing a business metadata model; the interactive configuration generation module is used for constructing a dynamic mapping topology and generating a configuration description index; the logic analysis processing module is used for generating a rendering driving matrix according to the index; and the scene rendering execution module is used for drawing the three-dimensional digital twin scene. According to the method, by constructing a dynamic mapping engine based on semantic metadata, the upper-layer business logic and bottom-layer primitive rendering process is thoroughly decoupled, and standardized packaging of heterogeneous geological data is realized by utilizing a modularized configuration mechanism, so that the system can flexibly recombine a GIS layer structure according to mining rules; rapid construction of an oil field scene is completed in a zero code environment, and adaptability and iteration efficiency of spatial data visualization management are effectively improved.

The invention is suitable for the technical field of industrial automation control, and provides a hardware configuration generation method and device, terminal equipment and a readable storage medium, and the method comprises the steps: obtaining first configuration information inputted by a user; wherein the first configuration information is description information of to-be-configured hardware; generating a first hardware configuration list according to the first configuration information; acquiring hardware parameters corresponding to the first hardware configuration list; and performing hardware configuration according to the first hardware configuration list and the hardware parameters to obtain a hardware configuration result. According to the method, the hardware configuration efficiency and reliability can be effectively improved, and control item landing is accelerated.

The invention relates to the technical field of reasoning models, in particular to an adaptive teaching system based on learning behavior analysis, which comprises a learning focusing behavior description module, an operation section interference identification module, a behavior offset section identification module, a teaching node jump path construction module and a teaching task configuration generation module. According to the method, time sequences of operation behaviors are divided, path change features are extracted, a behavior focusing fragment and interference node set is constructed, a path fracture position is identified by combining a jump direction and an offset action, and a jump path is generated according to a label repetition frequency and a non-present node matching relation. Task styles, resource presentation modes and interaction process contents are extracted, a task distribution structure between nodes is constructed, the path structure reduction capability and the task content cooperation capability are enhanced, and smooth task node connection and coherent content pushing are guaranteed under the scenes of frequent skipping of learning behaviors and disordered path sequence; and the coordination efficiency of the teaching process on the scheduling response of the behavior change is improved.

The invention discloses an FMS scheduling and resource configuration joint optimization method, system, device and medium, and belongs to the field of manufacturing system optimization, and the method comprises the steps: employing an S3PR network with library time delay to construct a Petri network model of an FMS, and representing workpieces and processes in the FMS; the scheduling decision module executes an improved Dyna-Q algorithm in a machine time change environment based on resource configuration to obtain a maximum completion time set of multiple groups of time samples; the resource configuration decision-making module analyzes the set, calculates a reward function value, explores machine number configuration under cost constraint, generates a new scheme and feeds back the new scheme to the scheduling decision-making module; the method and the system are subjected to interactive iteration joint optimization to meet resource and cost constraints and minimize the maximum completion time of the system, after a preset termination condition is achieved, a resource configuration and scheduling result is output, an executable scheme is generated according to work procedure starting time sorting, and the quality and efficiency of scheduling and resource configuration are improved.

The invention provides a crowd simulation and spatial layout optimization method and system based on an open source engine and related equipment. The method comprises the following steps: receiving user input in an interactive interface constructed by a three-dimensional engine, creating and editing three-dimensional scene data, and mapping the three-dimensional scene data into a scene object set with an identification attribute; receiving crowd behavior parameters set by a user based on the scene object set, and associating the crowd behavior parameters to the corresponding scene objects to generate parameter binding information; a configuration generation module is called, a configuration file compatible with an open source crowd simulation framework is generated according to the scene object set and the parameter binding information, and the configuration file comprises structured data describing the relation between scene object space attributes and crowd behavior parameters; and inputting the configuration file into an open source crowd simulation framework, executing simulation calculation of crowd agency behaviors, and generating trajectory data corresponding to the configuration file.

The application discloses a kind of big model reinforcement learning network configuration generation methods based on verification feedback, input network phenomenon and state content are converted into semantic and action sequence by network configuration semantic analysis, based on semantic action sequence, through hybrid action space strategy generation and neural symbol collaborative reinforcement learning model, the configuration framework and parameter that meet the requirements are generated, the network configuration information generated is verified and fed back in digital twin system, formal verification and performance simulation are carried out in virtual environment, real network scene is simulated, the correctness and performance of configuration are comprehensively evaluated, and then feedback signal containing multidimensional information is generated, strategy model is modified and optimized according to digital twin verification, finally, through reward mechanism, intelligent agent is guided to adjust high-entropy configuration item, and optimization configuration generation big model.

A system and method for optimized generation of cloud deployment configurations for an application is provided. The invention provides for receiving parameters associated with application deployment configuration generation and deployment of application on a target cloud platform. The parameters are processed for generating an application source code template. Cloud deployment configuration is generated based on generated application source code template. Package deployment associated with application deployment is automated by integrating with Application Programing Interfaces (API) for abstracting packaging applications to be deployed on target cloud platform. Pipeline inputs associated with target cloud platform are processed for determining cloud deployment configuration constraints associated with application source code. Service mesh configuration files are generated for deployment of application to target cloud platform by processing cloud deployment configuration constraints associated with application source code. A cloud deployment template is generated for deploying application associated with application source code to target cloud platform.

The application discloses a land space configuration optimization method and system facing resource carrying capacity, and relates to the technical field of data processing.The method comprises the following steps: a continuous differentiable carrying field is constructed based on resource elements for a target land space; a space configuration module containing generation and optimization components is developed; an initial strategy is generated according to the dynamic carrying field and the carbon resistance surface, and is verified to determine the optimization instruction, and the optimization component is activated as needed to identify the intervention point and optimize; the scheme is displayed by hierarchical rendering and three-dimensional sectioning. The technical problem that the traditional configuration method relies on static threshold and discrete unit analysis, and it is difficult to accurately depict the spatial continuity and dynamic interaction of resource elements, resulting in insufficient adaptability of the configuration scheme to the resource carrying capacity is solved, the technical effect that the dynamic optimization is realized through the configuration generation and optimization component, the scheme intuitiveness and decision efficiency are improved by using hierarchical rendering and three-dimensional sectioning to generate a dynamic explosion diagram, and the fine and intelligent land space configuration is ensured.

Systems, apparatuses, methods, and computer program products are disclosed for cryptographic operation determination. An example method includes creating a set of analysis data based upon input data and analyzing the analysis data to determine security category classification. The example method further includes determining a security configuration based on the security category classification. The example method also includes instantiating agent programs for the enactment of cryptographic operations. Finally, the example method further includes causing the execution of cryptographic operations.

Techniques for configuring an entity are disclosed. The techniques include generating, based on multiple sets of features inputted into a machine learning model, predictions of multiple sets of performance metrics for multiple configurations of the entity. The techniques also include calculating a change in efficiency between each configuration in the multiple configurations and the base configuration based on a first set of performance metrics for the base configuration and a second set of performance metrics generated by the machine learning model for the configuration. The techniques further include determining, based on values of the change in efficiency calculated for the multiple configurations, a second set of configuration values with a highest increase in efficiency over the base configuration. The techniques additionally include causing the second set of configuration values to be outputted in association with the entity.

Automatic deployment of software defined storage (SDS) executes bootstrap and site configuration generation phases. The bootstrap phase follows a command for nodes to start a bootstrap process with installation of prerequisite packages, and setting system parameters based on the discovered hardware. When the node is restarted, the required services are automatically started. When all of the expected storage nodes have registered, the next phase of deployment can be executed to automatically generate the site configuration based on the inventory of nodes and storage devices discovered during the bootstrap phase. A storage cluster is created that utilizes the storage resources previously discovered. A single command is used to create and start a storage cluster.

The invention belongs to the field of BP file package configuration, discloses an IMA network infrastructure configuration generation method based on a BP file package and a related system, and avoids low efficiency and error proneness caused by manual one-by-one extraction and configuration writing by automatically converting the BP file package into a standardized IMA network infrastructure configuration XML file in an analysis stage. In the verification link, the system automatically compares the generated XML file with the corresponding attribute value in the BP folder, the problems of attribute missing, mapping errors or numerical value inconsistency can be found and positioned in time, and the integrity and consistency of configuration data are guaranteed. In the conversion link, the XML file is further converted into a binary file, corresponding configuration attributes are embedded, and a loadable binary configuration file which can be trusted by a user is generated, so that the usability and the safety of the configuration file in actual operation are ensured; and logic complexity and potential risks caused by manual conversion or multi-level format conversion are also avoided.

The application discloses an inner-outer network security service passing method and system based on edge computing and belongs to the technical field of network security, which comprises the following steps: obtaining multi-dimensional attribute information of an edge node, generating a security policy basic data set, simultaneously generating a traffic characteristic fingerprint and an adaptive environment adaptation fingerprint and calculating a fusion matching degree, combining a business scene adaptive threshold clustering to generate an edge security entity node, and further constructing a security policy meta-model with a security policy blueprint as the core; analyzing the security policy meta-model through a multi-modal semantic analysis engine, generating a dynamic security enhancement model and mapping to a hierarchical security control model; and based on the hierarchical model, outputting an edge node inner-outer network security passing configuration and a corresponding security passing account through a scene configuration generation algorithm. The application realizes adaptive generation, dynamic optimization and precise execution of a security policy, and effectively improves the security, automation level and operation and maintenance efficiency of inner-outer network passing in an edge computing environment.

The invention provides an automatic task flow processing method and device.The method comprises the steps that dragging operation and parameter configuration of a user on a preset component in a display interface are obtained, and a graphical processing flow is generated according to the dragging operation and parameter configuration on the preset component; performing logic conversion on the graphical processing flow to obtain an executable script; performing user design intention prediction on the generated executable script, and generating an optimization suggestion for the executable script to obtain a general task flow; analyzing the general task flow according to the scene identifier in the general task flow so as to convert the general task flow into a task format required by an execution system corresponding to the target scene; and dynamically allocating and executing the task according to the task format required by the execution system corresponding to the target scene based on the priority and the resource load. Through the scheme, the technical effects of improving the capability of unstructured data processing and dynamic decision making and realizing rapid adaptation of low-code development and multi-scene requirements are achieved.

The application discloses an industrial scene-oriented low-code application construction method, system and product, and relates to the technical field of industrial software development. The method comprises the following steps: receiving a natural language business requirement description, performing semantic analysis and intention recognition by using an industrial vertical large model engine, and automatically generating an adaptive basic system template; responding to a user's drag operation in a visual configuration interface, configuring a business form and a production process by using a form engine and a process engine, and generating a customized industrial application system; establishing a communication connection with a physical device by configuring a device access protocol through an Internet of Things engine, and constructing a digital twin model to map real-time operation data of the device; after starting the system, collecting production data and business data, analyzing the data by using the industrial vertical large model engine, and generating optimization suggestions or early warning information. The application can shorten the industrial software development cycle, realize flexible adaptation and seamless integration of devices in complex industrial scenes, and improve the intelligent level.

This invention proposes a method for generating API interfaces based on dynamic SQL configuration, providing an interface configuration system with a visual interface configuration function. It can be used to automatically provide service interfaces to the outside world based on existing SQL statements for different scenarios. Developers or operations personnel can directly generate corresponding API service interfaces through the visual interface by writing SQL statements and configuring related parameters, which can then be called by the front-end system or used to provide data services. This eliminates the need for a series of lengthy processes such as submitting interface development requirements to back-end developers, communicating business logic, scheduling development, writing code, packaging, deployment, and release. Furthermore, it allows for timely modification of existing SQL logic and configuration items to respond quickly to changes in requirements, significantly reducing system development and maintenance costs to a considerable extent.

This invention discloses a method, apparatus, device, medium, and product for handling electronic and electrical conflicts, relating to the technical field of intelligent connected vehicle electronic and electrical architecture and in-vehicle software architecture. The method includes: acquiring multi-source input data; normalizing the multi-source input data to obtain a set of service entity objects; performing conflict detection on the set of service entity objects according to conflict rules to obtain conflict detection results; determining a new allocation result based on the conflict detection results and the set of service entity objects; the new allocation result being an updated port / instance / routing allocation result from the service provider to the consumer; and generating and writing back the configuration based on the new allocation result. The above technical solution can improve the efficiency and effectiveness of conflict detection and handling.

The system according to the embodiment aims to efficiently generate sales proposal materials. [Solution] A system according to an embodiment includes an input unit, an analysis unit, a configuration determination unit, and a generation unit. The input unit inputs elements necessary for a proposal material. The analysis unit analyzes the information input by the input unit. The configuration determination unit determines the configuration of the proposal material based on the information analyzed by the analysis unit. The generation unit generates the proposal material in a presentation format based on the configuration determined by the configuration determination unit.

The invention discloses a trigger instruction configuration system, method and device and a storage medium, and relates to the field of chip manufacturing and chip testing, and the system comprises a signal sampling module which is used for obtaining all sequential logic signals of a to-be-tested electronic circuit design; the filtering execution module is used for acquiring an associated sequential logic signal related to a trigger condition in all sequential logic signals; the trigger generation module is used for generating a trigger instruction if it is determined that the associated sequential logic signal meets the trigger condition; and the debugging function module is used for executing debugging operation according to the triggering condition. According to the technical scheme provided by the embodiment of the invention, the configuration generation of the trigger instruction after the design compiling of the electronic circuit to be tested is realized, the configuration flexibility of the trigger signal is improved, meanwhile, the compiling process after the trigger signal is appointed is avoided, the configuration efficiency of the trigger instruction is improved, and the test time of the design of the electronic circuit to be tested is greatly saved.

A resource allocation method and device based on bitmap precalculation, the method comprising: generating a global resource state bitmap according to CORESET configuration in a PDCCH, precalculating a candidate pre-allocation bitmap set for each possible candidate PDCCH; extracting a corresponding pre-allocation bitmap from the candidate pre-allocation bitmap set as a candidate set bitmap; comparing the candidate set bitmap with the global resource state bitmap to determine whether the resources conflict, if the resources do not conflict, the resources are available, and then the resources are occupied. The present application transfers the complex function calculation at the scheduling time to the precalculation in the initialization stage, only needs simple bitmap retrieval and bit operation at the scheduling time, greatly shortens the PDCCH resource allocation time consumption, replaces the real-time intensive calculation by pre-storing the bitmap, significantly reduces the CPU load, focuses the processor on the core scheduling algorithm, reduces the resource redundancy consumption, and effectively improves the overall capacity and energy utilization efficiency of the communication system.

The invention relates to the technical field of computer data processing and artificial intelligence, and discloses an auditing field automatic generation method and system based on semantic analysis. The method comprises the following steps: firstly, completing interface configuration and availability verification of a semantic understanding model or a multi-modal model through a model management module; inputting a caliber description, a field type, a dependent field, a source priority, a position clue, an output constraint and abnormality judgment in the intelligent field definition module, and generating a rule version; constructing a test data set based on the rule version and performing batch verification, and promoting version iteration by a precipitation deviation sample; mapping of the field identification and the rule version and the model version is established in metadata management, and a configuration benchmark is released; during operation, the generation engine locates the attachment according to the dependent field, after document analysis or OCR recognition, a prompt is organized to call the model to extract the field, structured analysis and format standardization are completed, the data model is written in, and finally rapid configuration generation of the audit field and stable adaptation of the cross-format attachment are achieved.

The application discloses a method, system and device for generating database code through visual configuration and a storage medium. The method comprises the following steps: obtaining a structured configuration file corresponding to a visual configuration operation of a user through a client in response to the visual configuration operation of the user; sending the structured configuration file to a server; generating target stored procedure data according to the structured configuration file after the server receives the structured configuration file; storing the target stored procedure data in a target database through the server; determining a scheduling task corresponding to the target stored procedure data; triggering execution of basic business code according to an execution rule corresponding to the scheduling task, and generating structured log data through log code in the execution process. It can be seen that the database code is generated through visual configuration of business, scheduling tasks and log functions for data link management, and the maintainability of the system is improved.

The invention discloses an enterprise scene-oriented intelligent application visualization construction method and system. The method comprises the following steps: creating an application instance through a system interface, selecting a corresponding type template, generating a basic configuration structural body, initializing an application workspace, and loading a default component and a configuration item; configuring the model, the cue word, human settings, knowledge, tools and dialogues, and generating a component configuration package; node parameter configuration is carried out through the visual canvas, a flow topological graph is generated according to the node parameter configuration, legality verification is carried out, and a legal flow topology is obtained; after a deployment instruction is triggered, converting the configuration information into an executable code and testing; if the test is passed, deploying the executable code to a set application environment; and if the test is not passed, optimization adjustment is carried out until the test is passed, and deployment is completed. According to the invention, the problems of high development threshold, large demand conversion loss, poor visualization tool adaptability, low integration efficiency and the like in the prior art can be solved.