681 results about "System configuration" patented technology

The invention discloses a comprehensive algorithm for distribution and scheduling of AGV (Automatic Guided Vehicle) carrying tasks. S1: an SCADA system; equipment communication, data acquisition and storage, protocol analysis and logic processing; s11, the communication protocol, the address and the communication rhythm of the equipment are configured through the system, data acquisition data are stored in ES (ElasticSearch), the data acquisition data are stored for one year and backed up regularly, and the system achieves service logic processing through an LUA script. The carrying efficiency of the AGV is integrally improved, and the execution time of carrying a single task by the AGV is shortened by 10%; the production capacity of a workshop is improved, and the carrying rate exceeds 96% under the condition of no interference; the workshop logistics cost is reduced, and the overall number of AGVs is reduced by 10%; and the first pass yield of material carrying is improved by 15%. The deep fusion data analysis capability enables the whole system to predict demands more accurately, avoid conflicts, optimize the overall production efficiency, optimize the production process, reduce waiting and resource waste, and improve the flexibility of path planning and the reliability of task completion.

A system and method including receiving a prompt specifying at least one task type; determining a system prompt based on the received prompt, the system prompt including artificial intelligence (AI) system configuration details corresponding to the at least one task type; pre-processing the system prompt to generate a pre-processed prompt including code referenced in the system prompt; transmitting, as an input prompt, the pre-processed prompt to an AI system; receiving, in response to the AI system executing the pre-processed prompt, a result from the AI system; and storing a record of the result from the AI system in a data repository.

A system for translating source code in a first programming language to a target language is provided. The system is configured to receive source code for converting to target code; determine an abstract syntax tree from the source code; determine program specifications from the source code; determine a dependency graph from the source code; determine a plurality of chunks based at least in part on the abstract syntax tree, the program specifications, and the dependency graph; determine a plurality of converted chunks based at least in part on the plurality of chunks and a deep learning model, the deep learning model converting the plurality of chunks from the language of the source code to the language of the target code; post-process the plurality of converted chunks to obtain intermediate code; and provide the intermediate code as the target code.

The invention relates to the technical field of dynamic system configuration, and discloses a dynamic system configuration and state change notification method and system, and the method comprises the steps: obtaining a system initialization parameter set; constructing an information communication center based on the system initialization parameter set, and generating a protocol routing set and a topological connection diagram of the information communication center; constructing a multi-modal state monitoring channel based on the protocol routing set of the information communication center and the topological connection diagram, initializing a detection engine, and obtaining an engine state set of the detection engine; constructing a subscription relation mapping matrix based on the topological data set and the application subscription request set, and generating a path optimization strategy set; generating a cross-protocol event set based on the state change event set, generating transmission quality based on the cross-protocol event set, and dynamically scheduling the detection engine path according to the transmission quality; and generating an exception handling independent channel based on the dynamic scheduling condition. According to the invention, the reliability and maintainability of the system are improved.

A hybrid traffic flow testing method and system based on digital twin and virtual-physical integration includes steps as follows. Data of a realistic testing site is collected, and a virtual scene is created based on the digital twin, interactions between a realistic environment and a virtual environment are set up to achieve a system configuration of a system based on the virtual-physical integration. Virtual human-driven vehicles are generated based on a data set of the system configuration, and realistic human-driven vehicles are generated based on data collected by driving simulators operated by realistic human drivers. Human-driven vehicles are formed by combining the virtual and realistic human-driven vehicles, and status and location information of the human-driven vehicles are acquired. A set of sensing, positioning, planning, control, and V2X communication methods are set up based on the status and the location information for CAVs, thereby achieving autonomous driving.

The invention provides an audio and video system data comprehensive analysis and processing method based on a virtual distributed architecture, and the method comprises the steps: collecting a heterogeneous audio and video data set of a target region through a multi-source audio and video collection assembly cluster deployed in a virtual resource pool, and carrying out the distributed task decomposition according to a preset time-space correlation constraint condition; the method comprises the following steps: generating a feature extraction task set, then dynamically allocating tasks to a processing unit group based on real-time resource availability parameters of virtual computing nodes, triggering a parallel feature extraction process, then carrying out fusion operation on an intermediate feature data set through a cross-node communication interface, generating a global state description vector of a target area, and finally, carrying out feature extraction on the global state description vector. And a resource regulation and control instruction set is generated according to a mapping relation between the global state description vector and a preset system configuration strategy, and is transmitted to a scheduling management node of the virtualized resource pool, so that efficient and accurate comprehensive analysis and processing of the audio and video data are realized, and the overall performance and stability of the system are improved.

A system configuration significantly reduces the number of interconnections needed between an electromechanical actuator (EMA) and an EMA controller (EMAC) while maintaining redundancy and other safety aspects needed by the target application without adding second or third independent redundant position sensors to the EMA for use with backup channel of the controller. The system configuration extends the sensor architecture used by COM-COM controllers with an additional sensor channel used by a backup controller without the need for adding a separate physical position sensor for the backup controller, which saves implementation effort, space, and weight that would otherwise be needed for integration of additional redundant sensors into the EMA.

The invention discloses an energy storage optimal configuration method and system based on data-driven model fusion. The method comprises the following steps: extracting feature data with important influence in load data and operation and maintenance data for data fusion; constructing a load prediction model for predicting the load state of the energy storage equipment and a predictive maintenance model for predicting the health state and the remaining service life state of the energy storage equipment; training a load prediction model and a predictive maintenance model of the energy storage system through iteration; and the load state, the health state and the remaining service life state of the energy storage equipment are predicted in real time, an energy storage system configuration optimization model is constructed, and the overall configuration of the energy storage system is optimized. The method is not only used for short-term power load prediction, but also used for health state prediction and residual service life prediction of the energy storage system, through the accurately predicted energy storage equipment state, an energy storage system configuration optimization model is cooperatively constructed in a complex power grid scene, a maintenance plan is reasonably arranged, and efficient and stable operation of the energy storage system is ensured; and the reliability and the economical efficiency of power supply are improved.

An anomaly detection system uses configuration-related activity profiles, generated in course of threat samples analysis in a secure testing environment, consisting of features of system events and system configurations of endpoints and shared network assets. Backup archives and activity monitors are used to collect system events and system configurations from corporate networks to analyze them with threat pattern databases including configuration-related activity profiles.

The invention relates to the technical field of water pollutant concentration detection, and discloses a water pollutant concentration detection system and method based on big data analysis, and the water pollutant concentration detection method based on big data analysis comprises the following steps: constructing a multi-level sensing network, the multi-layer sensing network comprises a fixed monitoring station layer, a water surface unmanned ship layer and an underwater robot layer; carrying out multi-modal data fusion by utilizing a knowledge constraint data assimilation algorithm to generate consistent water quality parameter estimation; a double-layer cognitive structure combining a knowledge graph and a causal model is constructed, and water pollutant propagation understanding and tracing are achieved; continuous optimization of system configuration is realized through a multi-objective reinforcement learning framework; through collaborative optimization of a multi-layer sensing network, the system realizes three-dimensional monitoring of a water body, the monitoring coverage range is expanded, and meanwhile, the high-precision detection capability is kept.

The invention discloses a configuration recovery method of a storage system, electronic equipment, a program and a storage medium, and is applied to the technical field of storage. The configuration data comprises hardware information, logic information and network information; packaging the configuration data to obtain a configuration file in a standard format and storing the configuration file; when the configuration of the storage system is recovered, reading the configuration file, and for any configuration item of the storage system, generating an execution command for the configuration item; for the service configuration items, sorting execution commands of the service configuration items based on service dependency rules in the logic information; the execution commands of all the configuration items are sorted according to the execution sequence of the configuration items, an executable logic module is generated, and the executable logic module is executed to conduct configuration recovery on the storage system. By means of the scheme, configuration recovery of the storage system can be effectively achieved, and universality and reliability are guaranteed.

According to the unified communication system provided by the invention, the stable communication connection between the client and the platform is realized through the end-side SDK module, the underlying protocol difference is shielded, and the complexity of multi-protocol adaptation is reduced. The registration center module and the service discovery middleware work cooperatively to perform automatic registration and health check on the service instance, so that the health state of the routing target node is ensured, the request is prevented from being distributed to the fault instance, and the reliability of the system is improved. The load balancing service module serves as a unified communication entrance, processes all flows in a centralized manner, reduces the number of externally exposed ports of the system, shrinks a network attack surface, and enhances security. The platform SDK module provides an interactive interface for the service platform, so that the service platform does not need to care about complex communication details, and the service development efficiency and the system maintainability are improved. The management service web platform provides a centralized visual management and control interface for all the modules, convenient management of plug-ins, SDKs and system configuration is achieved, and the operation and maintenance difficulty is reduced.

To provide a template creation support system capable of supporting creation of a template of a flow close to a system configuration desired to be realized by a user.SOLUTION: A template creation support system includes: a first conversion unit that converts each template of a template group into a graph including a node indicating a service and an edge indicating a relation between services based on dependencies between set resources; a second conversion unit that converts an input including information indicating a system configuration desired by a user and operation of each component into the graph composed of a node indicating service and an edge indicating a relation between services; a retrieval unit that retrieves a template of the graph close to the graph converted by the second conversion unit from graphs converted by the first conversion unit from the template group; and an output unit that outputs a setting item set in the template retrieved by the retrieval unit.SELECTED DRAWING: Figure 1

The invention provides an SOA architecture vehicle-cloud integrated communication middleware system and a deployment method, and the system comprises a unified communication interface module which is used for providing a Topic-based publishing / subscribing model communication interface for an application layer, and providing a Method-based client / server model remote service calling interface; the communication abstraction and adaptation module is used for performing unified abstraction and protocol conversion on various heterogeneous physical buses and communication protocols in the vehicle and among vehicle clouds; the system configuration and management module is used for carrying out centralized configuration and management on definition of communication interfaces, mapping relations of communication channels and system operation parameters; the system receives a communication request of an application layer through the unified communication interface module, obtains configuration information through the system configuration and management module, and adapts the communication request to a specific physical bus or a network protocol for transmission through the communication abstraction and adaptation module. According to the system and the deployment method provided by the invention, the service logic of the application layer and the complex communication of the bottom layer are thoroughly decoupled.

The invention discloses an IEC61850 multi-protocol version oriented communication server-side self-adaption method and device, and the method comprises the steps: carrying out the protocol version dynamic recognition, service interface dynamic configuration and service interface dynamic response for IEC61850 standard protocol versions including ED1.0, ED2.0 and ED2.1, and forming a differential processing mechanism for different protocols, and the automatic switching of the ED1.0 / ED2.0 / ED2.1 protocol can be realized. According to the invention, through compatibility adaptive processing of different versions of difference communication services, system configuration complexity caused by protocol version difference and multi-version maintenance cost of device software are reduced, so that diversified requirements of a power system in multi-scene application and internationalized markets are met; and the flexibility of system configuration and the reliability of device operation are improved.

The invention relates to the technical field of industrial control, and discloses an industrial communication protocol adaptation method and system based on OpenHarmony. The method comprises the following steps: performing distributed soft bus deployment on a plurality of industrial devices in an industrial control network to obtain a distributed device connection architecture; carrying out multi-protocol adapter loading on the industrial automation runtime service of the distributed equipment connection architecture to obtain a multi-protocol runtime service instance; performing communication protocol identification and configuration on the plurality of industrial devices according to the multi-protocol runtime service instance to obtain standardized device data; and establishing a data transmission channel according to the standardized device data, and performing global state synchronization and cooperative control instruction distribution on the plurality of industrial devices to generate a distributed cooperative control network. The deployment and maintenance work of the industrial control system is simplified, the accuracy and consistency of system configuration are improved, the risk of manual configuration errors is reduced, and the development cost and maintenance complexity of industrial application are reduced.

The embodiment of the invention provides an MFT system automatic configuration method and system based on an intelligent algorithm, and belongs to the technical field of automatic control. The method comprises the following steps: preprocessing data, and executing value feature and mode extraction; constructing an MFT domain knowledge graph based on the extracted value features and modes, and optimizing a logic structure of an MFT system by using a genetic algorithm based on the MFT domain knowledge graph so as to generate an optimal logic structure by defining a fitness function; based on a reinforcement learning technology and the optimal logic structure, constructing an intelligent decision model by learning historical operation data; and creating a digital twinborn model of the target MFT system based on the intelligent decision model, verifying the configuration of the MFT system based on the digital twinborn model of the target MFT system, and importing the configuration of the MFT system passing the verification into a practical project. According to the scheme, the manual workload and the error probability are remarkably reduced, and high efficiency, intelligence and automation of the MFT system configuration process are achieved.

A system for AI-supported cybersecurity and regulatory compliance in energy distribution networks, consisting of: a hardware-embedded data acquisition module configured to intercept, capture, and time-stamp operational data streams and to control data traffic from SCADA (Supervisory Control and Data Acquisition) systems, AMI (Advanced Metering Infrastructure) systems, and energy management systems (EMS) via multiple communication protocols without operational latency; an FPGA-based deep packet inspection unit coupled with the data acquisition module, wherein the FPGA firmware is configured to perform line rate filtering, protocol decomposition and metadata extraction of the acquired data and forwards preprocessed packet data to an AI processing unit; an AI processing unit consisting of a multi-core central processing unit (CPU), a dedicated AI accelerator selected from a graphics processing unit (GPU) or a tensor processing unit (TPU), and a volatile memory buffer; a response orchestration module that is communicatively coupled with network management devices and operations controllers, wherein the response orchestration module is configured to perform automated security and compliance remediation measures, including network isolation of compromised segments, enforcement of protocol encryption, and privilege revocation; and an immutable audit logging subsystem configured to record all detected events, compliance assessments, and corrective actions in a blockchain-based distributed ledger, with each log entry cryptographically anchored with a secure hash value and digitally signed with keys stored in a secure hardware enclave.

Provided is a template creation support system capable of supporting creation of a template of a flow close to a system configuration desired to be realized by a user. There are provided a first conversion unit that converts each template of a template group into a graph including a node indicating a service and an edge indicating a relationship between services based on a dependency relationship between set resources, a second conversion unit that converts an input including information indicating a system configuration desired by a user and an operation of each component into a graph including a node indicating a service and an edge indicating a relationship between services, a search unit that searches a template of a graph close to the graph converted by the second conversion unit from among the graphs converted by the first conversion unit from the template group, and an output unit that outputs a setting item set to the template searched by the search unit.

The invention discloses a singularity-avoiding trajectory planning method for a free floating space mechanical arm, and belongs to the technical field of robot trajectory planning. The method comprises the steps that the expected whole-course tail end position track and posture track of the mechanical arm are obtained; setting a control period and circularly executing; at each control moment, a generalized Jacobian matrix and system singularity measurement are calculated, and whether the system is close to singularity or not is judged; traversing all the possible values of the base postures if the base postures are close to singularity, calculating joint angle states and corresponding singularity measurement which do not change the tail end postures, and searching a system configuration corresponding to the maximum singularity measurement; then, the state of the mechanical arm is reconstructed, and the mechanical arm is made to move to the maximum singularity measurement configuration to be separated from singularity; and calculating the inverse of the generalized Jacobian matrix to obtain velocity inverse kinematics, and further calculating the joint angular velocity and the joint angle at the next moment. According to the method, an accurate trajectory planning effect without introducing any theoretical error is realized while the singularity avoidance capability is ensured.

The invention relates to the technical field of power system management, in particular to a collaborative planning optimization method for a distributed power distribution network energy storage system, which comprises the following steps: S1, measuring and calculating an energy storage demand, and generating a regional initial energy storage planning scheme; s2, respectively establishing a regional economic optimization objective function with the lowest energy storage system investment and operation cost of each region; s3, independently optimizing the energy storage system configuration of each sub-region; s4, realizing global optimal configuration of the distributed energy storage system through a data interaction and feedback mechanism; s5, the distributed power distribution network energy storage system is specifically deployed, so that the distributed energy storage system can cooperatively operate under different load conditions; and S6, dynamically adjusting the charging and discharging operation of the energy storage equipment. According to the invention, through real-time monitoring and dynamic adjustment of the operation of the energy storage equipment, the power resource distribution and system stability of the distributed power distribution network are optimized, and the economical efficiency and operation efficiency of the whole power distribution network are significantly improved.

The invention discloses a configuration drift detection and consistency coordination method during operation of a Changsafety chain, and relates to the technical field of distributed system configuration management, the method comprises the following steps: deploying a main controller and a query-side double container in an Operator controller Pod, setting a client tool and a hierarchical cache in the query-side, and obtaining on-chain configuration by the main controller through a localhost interface; in the Recencile cycle, configuration drift is judged through standardization processing and hash comparison, and a change source is recognized in combination with self-defined resource metadata and chain side change metadata; coordination is executed according to four synchronization modes of CR forcing, chain observation, bandwidth period CR forcing and manual arbitration; according to the scheme, the problems of state fuzziness, error coverage and the like caused by dual fact sources are solved, low-delay detection and flexible coordination are achieved, and configuration consistency during running of the long safety chain is guaranteed.

The invention discloses a container resource prediction method and system based on a graph neural network, and the method comprises the steps: building a Kubernetes-based micro-service system, configuring a monitoring platform, and obtaining a log result through simulating the use of a real user, and constructing a data set; on the basis of the data set, constructing a time series prediction G-Times Net model based on a graph neural network, extracting interrelation characteristics between containers, and mining a periodic rule of container resource use; according to the predicted value of the G-Times Net model, carrying out elastic expansion and contraction judgment on the container resources; according to the method, the topological dependency relationship of real-time change among the containers is dynamically captured through the graph neural network, and comprehensive modeling of the container resource use mode is realized by combining the extraction capability of the TimesNet model on the multi-scale periodic features, so that the defects of a traditional method on spatial-temporal feature conjoint analysis are overcome, and the container resource prediction accuracy is remarkably improved.

The invention provides an industrial soft gateway system, a data processing method, equipment and a medium. The industrial soft gateway system comprises a driving module and a data processing module, the driving module is used for analyzing the system configuration file to obtain a communication protocol type of each terminal device, generating a driving instance corresponding to each communication protocol type, binding the driving instance corresponding to each communication protocol type with each terminal device, and obtaining original device data of each terminal device through each driving instance; the data processing module is used for preprocessing the original equipment data to obtain target equipment data, and performing state detection on each terminal equipment according to each target equipment data to obtain an equipment state detection result of each terminal equipment; and the data processing module is also used for sending the target equipment data and / or the equipment state detection result of each terminal equipment to the third-party system. By adopting the scheme, the data transmission among the multi-protocol equipment is realized, and the efficiency of data transmission processing and equipment state detection is improved.

The invention discloses a configuration method and system for a network-constructing type energy storage system for suppressing broadband oscillation, and relates to the technical field of new energy power generation grid connection and power system stability control. The invention aims to solve the problems that broadband oscillation is easily caused when a new energy field station is connected into a weak power grid, an existing suppression method affects equipment characteristics or needs additional investment, and netting type energy storage locating and sizing lacks scientific guidance. The method comprises the following steps: firstly, simplifying a system comprising a new energy station, a constructed network type energy storage system and a power grid, then carrying out impedance modeling on the two systems (reserving complete impedance characteristics of energy storage), and judging the stability through an impedance analysis method; and the optimal capacity is determined at a single position, and then the global optimal capacity and the corresponding position are determined by traversing the positions, so that low-cost broadband oscillation suppression is realized.

The invention relates to the field of power systems, and discloses an energy storage system optimization method, device and equipment for a low-voltage transformer area and a storage medium, and the method comprises the steps: obtaining the power load data, the power generation data of renewable energy sources, the meteorological data and the three-phase power grid data of the low-voltage transformer area at the current moment; predicting load data and power generation data of the low-voltage transformer area at the next time point of the current moment based on the power load data, the power generation data and the meteorological data by using a pre-trained prediction model; and determining balance parameters among phases in the three-phase power grid based on the electrical parameters of the phases in the three-phase power grid data by using the three-phase linear power grid model, and optimizing three-phase energy storage configuration parameters in the energy storage system according to the balance parameters, the predicted load data and the power generation data by using an improved genetic algorithm. According to the invention, the problems of low system operation efficiency and resource waste caused by inflexible matching of configuration and operation strategies of an existing energy storage system can be solved.

The invention relates to the field of ship route optimization, discloses a route optimization method and system based on a particle swarm optimization algorithm and geographic information, and is used for providing comprehensive decision support covering route planning, energy scheduling, risk control and carbon emission management for shipping enterprises. Comprising the steps that a commercial decision basic data set integrating geographic information, ship multi-energy system configuration and marine environment forecast data is constructed, and a commercial fractional order parameter set is generated; environment uncertainty is modeled by using a stochastic differential equation, a multi-energy system operation cost function is integrated, and a commercial cost prediction model capable of outputting operation cost probability distribution is formed; and carrying out risk-aware business strategy optimization based on a particle swarm optimization algorithm, and finally generating an executable business decision proposal containing a detailed route trajectory, a speed plan and a multi-energy equipment scheduling strategy. According to the invention, collaborative optimization of route planning and energy management is realized, and economy, safety and environmental protection of ship operation are significantly improved.

A computational framework can include a graphical user interface (GUI) generator; a logic generator; and a graphics generator, where the GUI generator generates a GUI for configuring a system of well equipment based on selections of graphical menu items, where the GUI dynamically responds to an interactive selection of one of the graphical menu items based on logic generated by the logic generator, and where the graphics generator generates a vector graphics representation of the system of well equipment as configured.

A storage system distributes data across multiple nodes, where the data is stored with partial redundancy to meet a predetermined reliability level. The system monitors a number of nodes in the storage system to determine whether a number of nodes changes. Responsive to determining that the number of nodes changes, the system determines whether reliability level of the storage system exceeds the predetermined reliability level by a threshold. Responsive to determining that the reliability level of the storage system exceeds the predetermined reliability level by the threshold, the system adjusts a data storing scheme of the storage system to reduce redundancy and increase available storage capacity in the storage system, while maintaining the predetermined reliability level.

A security evaluation device calculates a threat evaluation value for each of all threats present in a system configuration plan based on an evaluation value of a probability of a threat occurring, an evaluation value of an execution frequency of the threat, and an evaluation value of an effectiveness of a mitigation measure for the threat that is possessed by a countermeasure against the threat, which are defined for each type of security threat, and calculates a quantitative security evaluation value for the system configuration plan based on the threat evaluation values calculated for each of all of the threats.