379 results about "Auto-configuration" patented technology

The invention relates to the technical field of telecommunication, in particular to a switch automatic configuration method and system and a medium. The method comprises the following steps: obtaining switch resource configuration data, and carrying out semantic enhancement topological graph modeling to obtain a network environment digital twinborn model; performing configuration instruction analysis based on the network environment digital twin model and a preset configuration management database to obtain an intention configuration semantic set; performing multi-manufacturer semantic mapping arrangement based on the configuration strategy path of the intention configuration semantic set to obtain a native configuration command set; performing identity path integrity auditing on each configuration command in the native configuration command set to obtain a signature command set passing verification; uploading the verified signature command set to a switch management platform to execute the command; and acquiring real-time behavior state data of the switch, and performing semantic deviation calculation to obtain a configuration result report. According to the invention, the effectiveness and adaptability of switch configuration can be improved.

Computerized systems and methods are disclosed for automating Configure to Order (CTO) and Quote to Order (QTO) processes. Methods include receiving user inputs for desired product configurations, retrieving corresponding data from a bill of materials database, and calculating optimized pricing through intelligent rules based on real-time market data. Automated quotes are generated and transferred to orders in a vendor system, selected based on pre-set criteria like vendor reputation and delivery time. Validation steps reduce errors, and real-time reports are generated. The system integrates a Real-Time Data Mesh for data aggregation, a Single Pane of Glass User Interface for user interactions, and Advanced Analytics and Machine Learning Modules for implementing rule-based and learning algorithms. The system is accessible across various devices and standardizes data for uniform consumption, while also employing machine learning models to continually optimize processes. Notifications are sent to users upon successful execution of orders or completion of quotes.

In an embodiment, a method comprises: generating a user interface configured to allow selecting a product from a plurality of products that are customizable and displaying the user interface on a display device of a user computer; receiving, via the user interface, a selection of a particular product, from the plurality of products, that require customization; in response to receiving the selection of the particular product, automatically generating a plurality of customization options available for customizing the particular product; receiving one or more triggers of a plurality of triggers, generated based on customization options selected from the plurality of customization options; automatically generating one or more corresponding customization attribute values for the particular product; automatically generating one or more digital representations of the particular product, and displaying the digital representations of the particular product on the display device of the user computer.

The invention discloses a cross-cluster Dores unattended data migration method which comprises the following steps: acquiring metadata of a to-be-migrated table by connecting a source Dores cluster, analyzing and adjusting table structure features incompatible with a target cluster in the metadata, generating a compatible table establishment statement, and establishing a target table in the target cluster; an API of a data migration platform is called through a preset interface, a migration task is automatically configured and submitted, and the migration task comprises a source table, a target table and table association information; polling a task state in real time, and triggering a next migration task or an exception processing flow according to a task execution result; processing of all the to-be-migrated tables is executed in sequence according to a preset rule, and the number of concurrent tasks is limited to maintain cluster stability; and after migration is completed, performing multi-dimensional data consistency verification on the source table and the target table, and triggering a repair process according to a verification result. According to the cross-version Dores database migration method and device, the efficiency and reliability of cross-version Dores database migration are improved, and manual intervention and operation errors are effectively reduced.

The invention relates to the field of vehicle-mounted bus testing, and discloses a vehicle-mounted CAN bus terminal resistor configuration method and system for node testing, and the method comprises the steps: obtaining a node identifier and a terminal resistor identifier corresponding to each test node in a vehicle-mounted CAN bus test, the terminal resistor identifier being used for identifying the terminal resistor access state of the test node; obtaining a first node position of a first test node corresponding to the first node identifier, configuring a terminal resistor for the first test node when the first node position is an end node of the vehicle-mounted CAN bus, and canceling the configured terminal resistor for the test node of a non-end node; and updating the terminal resistor identifier of each test node according to the terminal resistor access state corresponding to each test node. According to the invention, the terminal resistor can be automatically configured in the CAN bus test.

The invention relates to the technical field of power electronic conversion, and discloses a high-efficiency rectification conversion system and a control method thereof, and the system comprises the following modules: a detection module, an input compatible module, a hybrid power device module, a control module, a thermal management module and a frequency modulation module. The control method comprises the following steps: acquiring input power grid voltage, output current and load state parameters; calculating an input voltage phase difference; dynamically selecting the type and channel configuration of the silicon carbide or gallium nitride power device according to the load rate; outputting a device configuration instruction and a switching frequency control instruction; adjusting the cooling system through the evaluated thermal state of the conversion system; and the control module receives the control instruction output by the control module and is used for implementing a corresponding pulse width modulation strategy. According to the method, a multi-system power grid identification and self-adaptive topology switching strategy is adopted, the technical effect of automatically configuring the optimal rectification architecture under different input types is achieved, and the problems of response delay and poor compatibility of the method in the environment of variable power grid types are solved.

The invention discloses a ground station intelligent equipment management and control system and method for spaceflight measurement and control, and the system comprises a data collection and display module, an intelligent scheduling module, a task execution module, a receiving and forwarding module and the like. Providing a measurement and control plan conflict resolution scheme; satellite macro parameters are configured and automatically issued; receiving, storing, cleaning and forwarding telemetering and remote control data in real time, and generating and pushing a measurement and control task operation report; all the modules cooperate with each other to automatically execute a measurement and control task. Through conflict detection and automatic resolution of the intelligent scheduling module, macro parameter automatic configuration / issuing / unloading of the task execution module and data autonomous processing of the receiving and forwarding module, full-automatic execution of the measurement and control task is realized, the task execution efficiency is improved, manual operation errors are avoided, and the spaceflight measurement and control task efficiency is remarkably improved.

The invention relates to the technical field of optical line terminal configuration, in particular to a method and system for automatically configuring optical line terminals of different manufacturers based on artificial intelligence. The method comprises the steps of collecting multi-source heterogeneous data to train a deep learning model, constructing a Transform or RNN-based architecture of a TensorFlow framework, performing cross validation and model compression, then performing optimization through a TensorRT inference engine, developing an intelligent configuration application system, deploying the intelligent configuration application system to a control host, and providing algorithm support for automatic configuration. By constructing an automatic configuration system based on artificial intelligence, the problems of heterogeneous compatibility and intelligent configuration of OLT equipment of multiple manufacturers are systematically solved. In a configuration optimization link, a virtual simulation environment is constructed based on a real network topology, a configuration effect is evaluated through multi-dimensional indexes such as throughput and time delay, potential conflicts are detected in combination with an AI algorithm, an optimization scheme is generated, and the configuration error rate of manual operation is reduced.

The invention discloses a method and equipment for automatically configuring a branch monitoring device and a storage medium, and relates to the technical field of digital information transmission, and the method comprises the steps that the branch monitoring device sends a periodic broadcast information packet through an Ethernet interface; the control module obtains the periodic broadcast information packet through the first network switch; constructing an equipment file corresponding to the branch monitoring device on configuration software of a control module according to the periodic broadcast information packet; determining the parameter configuration corresponding to the branch monitoring device in a parameter configuration library table according to the equipment file, and unicast the parameter configuration to the branch monitoring device through the first network switch to complete the configuration of the corresponding parameter of the branch monitoring device; and after determining that the parameter configuration is successful, the branch monitoring device performs equipment self-inspection and display self-inspection according to a self-inspection instruction sent by the control module, and generates a detection report. Through combination of software and hardware, the technical problem of low configuration detection efficiency of the device is solved, and the configuration detection efficiency of the device is improved.

Techniques for wildcard based private application access are disclosed. In some embodiments, a system, a process, and / or a computer program product for wildcard based private application access includes receiving a request for access to an application over a secure access service edge (SASE) network for a user associated with an enterprise; determining if the request for access to the application matches a wildcard (e.g., the wildcard can be configured by an administrator of the enterprise for matching a fully qualified domain name (FQDN) for the application); and automatically configuring access information (e.g., IP address, protocol, and destination port) for the application that matches the wildcard.

A set of discrete input / output (I / O) channels for one or more field devices may be grouped, organized, and connected to a field module device, which may connect to an electronic marshalling apparatus in a marshalling cabinet via an I / O channel. The field module acts as an intermediary, decoding messages received via the I / O channel to identify commands for discrete output (DO) channels that are then forwarded appropriately. The field module may also receive variable values carried by signals on discrete input (DI) channels and encode the values to a message that may be transmitted to the marshalling apparatus and controller, thus making the variable values on the DI channels available to the controller. The field module may store a profile including information that facilitates various smart commissioning techniques, including autosensing of tags, automatic tag binding, and automatic configuration of a control element corresponding to the field module.

The invention discloses an automatic configuration method and system for a power supply loop, and relates to the technical field of intelligent power distribution. After a plug device is rotationally locked, an identity is read in a near field, and corresponding voltage and power templates are called; inputting the power template and bus real-time current into an edge algorithm to obtain residual capacity and generate an initial power distribution matrix; when the residual capacity is higher than a safety threshold value, a phase sequence, a breaking value and overcurrent delay are issued to the intelligent circuit breaker, and zero-voltage window spark-free closing is realized; during operation, load change is predicted, time dislocation and power coupling parameters are calculated, a peak regulation coefficient is obtained through fuzzy reasoning, and a non-critical load migration stabilizing peak value is triggered; and finally, synchronizing the identity, the power distribution matrix and peak regulation parameters to the digital twin model, and realizing self-learning, energy efficiency improvement and system stability improvement by means of a parallel simulation optimization rule and second-level multiplexing during similar access.

The invention discloses an automatic configuration method for dispatching access of plant station equipment, and the method comprises the steps: A, obtaining communication data from the plant station equipment, and enabling the communication data to comprise a frame structure field; b, based on the frame structure field, identifying a communication protocol type by comparing an initial identifier, a function code field and a frame length field; c, in combination with the communication protocol type and the equipment attribute field, an access configuration strategy template is matched, and the template comprises a communication parameter set, an interface adaptation rule and a signal mapping relation; d, generating a structured configuration data file according to the configuration strategy template; and E, deploying the configuration data file to a scheduling system to complete equipment communication registration and data interaction initialization.

A peripheral device workspace cloud orchestrator executing at a cloud-based information handling system comprises a hardware processor to execute code instructions to determine a usage category from operational telemetry data for a current peripheral device workspace having an anchor node and current peripheral devices operatively coupled at a location, the usage category defined by a previous peripheral device operational telemetry data, previous manifest of previous peripheral devices within a previous peripheral device workspace, and at least one previous functional capability and previous adjustable operational configuration of a previous peripheral device. The hardware processor to determine a functional capability for a current peripheral device sufficiently matches the previous functional capability for the usage category and instructs the anchor node to automatically configure the current peripheral device according to the previous adjustable operational configuration in that usage category.

The invention discloses a discrete manufacturing production line equipment automatic configuration method based on a knowledge graph, and the method comprises the following steps: 1, collection and fusion of production line data: dividing the type of a discrete manufacturing production line, determining key parameters of equipment, refining the hierarchical structure of the production line, and constructing an equipment database; 2, defining production line resource requirements: extracting product requirement keywords, analyzing a mapping relation between equipment parameters and product requirements, and creating a requirement conversion system; step 3, construction and storage of a knowledge graph: constructing a production line equipment configuration knowledge graph containing a hierarchical structure and an association relationship; 4, defining a production line equipment selection evaluation standard: dividing parameter grades and assigning scores according to equipment key parameters and cost, and calculating and generating a comprehensive score of an equipment configuration scheme; 5, production line equipment configuration based on the knowledge graph: outputting equipment nodes matched with the knowledge graph, and selecting an optimal scheme in combination with an evaluation standard; and 6, outputting and displaying a configuration result.

The invention relates to an automatic test system for an energy storage system. The system comprises a test management module, a fault injection module, an automatic configuration module, a strategy verification module and a test report module. The test management module is used for creating a test task for the energy storage system; the fault injection module is used for simulating a preset fault scene corresponding to the test task and generating a fault test instruction corresponding to the preset fault scene; the automatic configuration module is used for performing parameter configuration on a target device associated with the test task in the energy storage system according to a preset system parameter configuration file, and generating a target configuration parameter of the target device; the strategy verification module is used for collecting actual response data of the energy storage system in the test process of the fault test instruction, and performing feature matching on the actual response data and expected response data in a preset strategy library to generate a strategy matching result; and the test report module is used for generating a test report of the test task according to the parameters. The efficiency and accuracy of the energy storage system test can be improved.

Managing a configuration of a docking station and computing peripherals, including performing, at a first time, a calibration and configuration of a configuration management model, including identifying contextual data associated with the docking station and the computing peripherals; training, based on the contextual data, the configuration management model, including generating a configuration policy including configuration rules, the configuration rules for performing computer-implemented actions to automatically configure the docking station and the computing peripherals; performing, at a second time, a steady-state management of the docking station and the computing peripherals, including monitoring the contextual data of the docking station and the computing peripherals; and accessing the configuration management model including the configuration policy, identifying the configuration rules based on the monitored contextual data, applying the configuration rules to perform the computer-implemented actions to configure the docking station and the computing peripherals.

The invention relates to the field of storage, in particular to an automatic configuration method and system for RAID (redundant array of independent disks) cards. The problems that in the prior art, an RAID card cannot be pre-configured, misoperation is prone to occurring in the manual configuration process, and the labor cost is high are solved. The method comprises the following steps of: storing default automatic virtual disk creation and configuration data of an RAID (Redundant Array of Independent Disks) card in a serial peripheral interface flash memory; two M.2 SSD system disks with the same model and the same capacity and a microprocessor MCU are arranged in the RAID card; the configuration management module is responsible for executing an automatic configuration process, and automatic configuration is set and triggered under the condition that the hardware requirement and the triggering time are met; the automatic configuration of the RAID card is realized; the complex operation of manual creation of a user is greatly reduced, consideration of human-caused faults is reduced, the requirement for automatically configuring the RAID is provided, the process is achieved through automatic configuration, and the purpose of instant use after power-on is achieved.

The invention relates to the technical field of electronics, in particular to a capacitor capacity automatic configuration method, a storage medium and a reactive power compensation cabinet. The configuration method comprises the following steps: firstly, determining whether a load is accessed to an input bus of the reactive power compensation cabinet; under the condition of determining that no load is accessed to the input bus, aiming at any compensation loop, controlling a fling-cut switch corresponding to the compensation loop to act so as to access a compensation capacitor corresponding to the compensation loop; and after the compensation capacitor is connected, acquiring bus current and bus voltage on the input bus, determining a correction capacitance value corresponding to the compensation capacitor according to the bus current and the bus voltage, and determining the correction capacitance value as a compensation capacitance value corresponding to the compensation capacitor. Thus, the controller can automatically update the capacitance value of the compensation capacitor in real time, when the capacitance value of the compensation capacitor changes, the controller can respond in time to correct the capacitance value, meanwhile, the situation that errors are likely to occur due to manual configuration is avoided, and the compensation stability and the compensation effect are improved.

The invention discloses an automatic implementation method and device for a PDN simulation process, and the method comprises the steps: analyzing a standard lamination information table in a preset format, and generating an XML netlist file containing a lamination structure and material attributes; a PDN simulation software API interface is called, an XML netlist and a PCB design file are loaded, lamination attributes and port settings are automatically configured, simulation is executed based on an input frequency range, and a data file is generated; impedance parameters in the simulation data are extracted and compared with an impedance range specification file of a pre-stored protocol standard, and a simulation curve graph and a passing / failure judgment result are generated; and matching a simulation report template according to a protocol type, inserting the curve graph and a judgment result into the template, and outputting a standardized simulation report.

The invention relates to the technical field of electromagnetic compatibility automatic testing, in particular to a power line audio conduction sensitivity automatic testing and switching system which comprises a multi-mode testing module, a data recording module, a testing analysis module, a testing control module and a result dividing module. Three test modes of high sensitivity, conventional sensitivity and low sensitivity are set, and a programmed switch group is utilized to automatically switch the connection relation between a capacitor and a coupling transformer, so that automatic configuration of different interference intensity test environments is realized. And the system automatically determines a subsequent test direction by analyzing conduction fluctuation characteristics of the transmission subsystem, and intelligently grades the anti-interference capability of the equipment based on a final test result. The problems that manual wiring is complex, efficiency is low and errors are prone to occurring in traditional testing are solved, automation and intellectualization of the testing process are achieved, testing efficiency and accuracy are remarkably improved, and meanwhile a reliable basis is provided for applicability evaluation of equipment in different electromagnetic environments.

In accordance with an embodiment, a first network entity is configured to provide analytics serving area information to a second network entity of a mobile communication network, where the analytics serving area information is based on a spatial area of analytics generated by the first network entity.

According to the CANopen-based remote I / O node dynamic topology identification and adaptive configuration method, key configuration data of equipment is stored in Flash, and power-on automatic loading is supported. A bus is scanned in real time through an RS485 interface, the number, types and topological positions of local newly-added I / O cards are automatically recognized, an object dictionary and a PDO mapping table are dynamically updated based on a recognition result, and hot plugging, dynamic adding and online expansion of the I / O cards are achieved. The object dictionary is provided with 0 * 2000 as an equipment state area and 0 * 2001-0 * 2010 as 16 independent I / O card configuration areas, and a master station can remotely modify and dynamically add parameters of I / O cards through an SDO interface to realize online parameter configuration and hierarchical management; the system expands multiple groups of PDO and combines with a master station synchronization signal, and can adapt to the data flow change after the I / O card is dynamically added. Automatic configuration, SDO online maintenance, dynamic identification and hot plug expansion are supported, the I / O card can be dynamically added without interrupting system operation, and topology expansibility, dynamics and real-time performance of the remote I / O node are improved.

The invention discloses a parameter automatic configuration method and device, a chip and a communication system, and belongs to the technical field of communication. In the automatic parameter configuration process, a first device in the communication system receives a control frame sent by a second device, the control frame comprises first LT information and first extension information, and the first device executes the function of the first LT information and the function of the first extension information. Wherein the first LT information is used for realizing a first function of link training, the first extension information comprises at least one of AN information, second LT information or LT control information, the AN information comprises parameters for automatic negotiation between the first device and the second device, the second LT information is used for realizing a second function of link training, and the first extension information comprises parameters for automatic negotiation between the first device and the second device. The LT control information is used for controlling link training. According to the method and the device, the automatic parameter configuration process has relatively high expandability, and the accuracy of the automatically configured parameters and the automatic configuration efficiency can be improved.

The invention discloses a multi-angle model operation automatic configuration optimization method and system based on big data, and relates to the technical field of big data, and the method comprises the steps: a cloud platform collects data from an industrial sensor and an equipment monitoring platform, calculates and standardizes a data quality index and a resource consumption feature, and constructs a standard feature vector and a data quality weight; based on a feature vector evaluation function and a resource matching degree, combining with a data quality weight to generate a candidate configuration scheme; taking the candidate scheme as an initial strategy, performing optimization through a composite reward function in a dynamic reinforcement learning environment, and outputting a global optimal parameter set; the parameter set is applied to job execution, and online fine adjustment is triggered through real-time monitoring and predicted value comparison; and starting a closed-loop updating mechanism containing strategy rollback and incremental learning based on full-cycle efficiency evaluation. According to the invention, the problem of low resource configuration efficiency in the industrial Internet of Things is effectively solved, and the system stability and the resource utilization rate are improved.

The invention discloses an intelligent substation SCD automatic generation method, system and device and a storage medium. The method comprises the following steps: constructing a primary main wiring diagram, wherein the primary main wiring diagram comprises a topological relation in the intelligent substation; associating intelligent electronic equipment IED in a substation configuration description SCD file to a corresponding interval in the main wiring diagram; generating an IED configuration parameter based on the topological relation and the IED; and associating the ICD file of the IED to the SCD file, importing a loop configuration subscription relation table and a total station primary equipment interval classification, number and initial address table, and automatically generating a subnet, communication parameter configuration, port configuration and virtual loop configuration in combination with the IED configuration parameters so as to complete the configuration of the SCD file. According to the method, the SCD file meeting the specification can be automatically configured.

The invention discloses a smart park dynamic collaborative management method and device based on an AI role assistant. Belongs to the technical field of digital management. The method comprises the steps of obtaining multi-source historical data of each physical person in a smart park; carrying out fusion analysis on the multi-source historical data, and creating a corresponding AI role assistant for each physical person in a digital twinborn body corresponding to the smart park; based on the real-time states of the digital twin and the AI role assistant, mapping the real-time behavior track data of the physical personnel into corresponding AI assistant actions through a pre-constructed behavior synchronization engine; and automatically configuring resources in the smart park according to the AI assistant action. Therefore, multi-source data fusion driven AI role assistant construction, real-time mapping of physical behaviors and digital services, automatic configuration of park resources and business rule self-evolution based on a decision rehearsal sandbox are realized.

The invention discloses a wind power gear box assembly task scheduling system and method. The system comprises a data input module, an automatic modeling module, a simulation module and a scheduling scheme output module. A key station assembly task data table and a crown block personnel resource data table are imported into the system, an automatic modeling module is utilized, a resource pool is automatically configured, all assembly task objects are created, resource constraints, time constraints and pre-and-post process constraints are added, simulation or optimization scheduling after simulation is carried out according to whether the resource constraints exist or not, and the assembly task objects can be obtained. And an optimal scheduling scheme is obtained, and a task Gantt chart, a resource Gantt chart and a time data table are generated to guide assembly work. According to the method, the dynamism, randomness and multi-factor constraints in the assembly process can be visually, accurately and visually described, a scenarized intelligent simulation optimization algorithm is combined, task scheduling and crown block personnel resource scheduling schemes are automatically optimized, and the assembly efficiency is improved.

The invention discloses a frequency increasing centerless building block type CAN bus address automatic configuration method. Adjacent CAN nodes are in butt joint through a CAN bus and input and output pins. Each node detects a frequency value P of an input pin and outputs a periodic square wave signal with a frequency of P + M; cAN bus address configuration results of all nodes in the building block chain are fixed, the address configuration of the first node is 0, and the addresses of the other nodes are progressively increased by 1 along with the sequence of the building block chain; in a CAN configuration program, the input pin signal frequency adopts a cyclic iteration detection mode; the CAN node is designed to be in a function symmetry form after being rotated by 180 degrees, and is expanded and applied to a two-dimensional plane building block type CAN bus framework. According to the method, automatic configuration of the node addresses in the building block type CAN bus architecture can be realized, the address configuration result does not depend on external hardware or software and does not occupy CAN bus communication resources, the main node can be flexibly selected and set by a CAN configuration program, and the method can be conveniently expanded and applied to the two-dimensional plane building block type CAN bus architecture.

The invention discloses an intelligent substation secondary equipment remote operation and maintenance method and system, and relates to the technical field of power system automation. According to the method, an integrated remote operation and maintenance system is constructed by deploying an intelligent remote operation platform at a master station end and deploying a secondary equipment intelligent terminal at a station end. The system automatically configures communication based on an SCD file, and acquires operation data of secondary equipment of the whole station; and the master station subscribes data as required, so that hierarchical and scenarized panoramic monitoring is realized. Three independent channels of operation and maintenance management, remote operation and maintenance and data acquisition are set, and white list, work order approval and SM2 / SM4 encryption authentication strategies are adopted, so that four types of remote operation of pressing plate operation, fixed value operation, device resetting and equipment emergency operation are safely realized. According to the method, the problems of low efficiency and high safety risk of a traditional on-site operation and maintenance mode are solved, the operation and maintenance quality is improved, and digital transformation of operation and maintenance of the secondary equipment of the transformer substation is promoted.