337 results about "System configuration" patented technology

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 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 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 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 discloses a vehicle-mounted system safety detection and risk assessment system, which belongs to the technical field of vehicle-mounted network safety, and comprises a vehicle-mounted terminal environment sensing module used for collecting multi-level environment information of a vehicle-mounted system, including system layer information, network layer information and safety layer information; the vehicle-mounted configuration file and communication white list detection module is connected to the vehicle-mounted terminal environment sensing module and is used for establishing and maintaining a safety white list library according to the collected system information, comparing the current configuration file, the dynamic library, the port and the certificate state of the system with the safety white list library through periodic scanning, and sending the comparison result to the vehicle-mounted terminal environment sensing module; detecting configuration abnormity and file tampering events; a vehicle-mounted process and control task analysis module; a communication abnormity detection and code identification module; and a safety evaluation and risk feedback module. According to the invention, all-around monitoring and intelligent analysis of vehicle-mounted system configuration, process behaviors and network communication can be realized, and hidden backdoors, abnormal processes and malicious communication can be effectively identified.

The present specification proposes a method and an apparatus for managing energy information in a next-generation wireless communication system. A next-generation wireless communication system including a 5G system may have defined therein an energy information repository function (EIRP) having a new network function capable of: exposing energy information to an AF; collecting information regarding energy of the AF; and storing and managing the energy information. The EIRF may provide energy information of a UE to the AF of a third party, and the AF may acquire energy information from the 5G system and monitor the acquired energy information. In addition, the AF may perform a system configuration based on energy efficiency, such as charging or restricting a service according to the energy information. Also, by the function, the AF may adjust service provision such as video playback by checking energy source information or carbon emission information.

The present disclosure provides a data storage method, device, electronic equipment and storage medium. The data storage method comprises: in response to a file storage request for a first target data file, obtaining the first target data file to be stored in a target storage system, the target storage system being configured with table metadata, the table metadata indicating storage branch information corresponding to the target storage system, the storage branch information comprising a main branch and at least one experimental branch, the main branch being used to mount data files that have been used for model training and the training results of which meet preset requirements, and the experimental branch being used to mount data files that have not been used for model training; based on the table metadata, determining a first target experimental branch corresponding to the file storage request, and newly creating a first target snapshot corresponding to the first target experimental branch; and based on the first target snapshot, storing the first target data file to a corresponding storage location in the target storage system. The embodiments of the present application can improve the data storage efficiency.

Some embodiments provide systems comprises: a customer database; a product database; a training data database; a customer evaluation system configured to implement one or more machine learning acceptance probability models to identify an acceptance likelihood factor, and determine whether the each respective customer has a corresponding acceptance likelihood factor greater than a likelihood threshold value; and a plurality of point of sale (POS) systems configured to complete sales transactions, obtain customer identifying information, and communicate the customer identifying information to the customer evaluation system; wherein the customer evaluation system is configured to communicate customer information to the payment method offer entity when the customer has an acceptance likelihood factor greater than a likelihood threshold value, receive authorization to present the customer with a payment method offer, and to present the payment method offer.

Real-Time Locating System (RTLS) enabled human to automated vehicle interaction apparatus and methods. Systems may include a control system configured to communicate with RTLS transceivers and anchors within an environment, and autonomous vehicles (AVs) equipped with sensors and RTLS communication transceivers. A control system determines a real-time location of RTLS transceivers (“Tags”) and provides navigation, task, and behavioral instructions to AVs based on location data. RTLS transceivers can be worn by humans or attached to objects, machines, equipment, floorspace, storage bins, or other destination, thereby enabling AVs to locate and travel to humans, objects, or other destination points, perform tasks based on location data, and dynamically alter actions and behaviors. Locating and traveling to destination points may include dynamic destination points based upon movement of a destination human or item. User interactions via RTLS tags may trigger specific actions, enhancing human-automated vehicle collaboration and operational efficiency in diverse environments.

The invention discloses a task plan generation method and system based on a large model, and relates to the technical field of intelligent information scheduling. Comprising a data pre-processing module, a man-hour evaluation module, a task modeling module, a large model reasoning module and a performance analysis module. By obtaining enterprise order data, process man-hour data and system configuration data, hierarchical processing is performed on tasks, process complexity and correction man-hours are calculated, and man-hour demands are generated in combination with equipment utilization and cooperation number of people; the orders are divided into a deduction task plan group, a process dependency graph is constructed, and a large model reasoning module disassembles tasks based on historical task samples to generate sub-task working hours; task allocation is carried out in combination with the special ability and the overall ability of the employees, the processing duration and the optimal value are calculated, and an optimal task plan is screened; the method realizes accurate man-hour prediction, reasonable resource allocation, employee load balancing and task execution efficiency improvement, and is suitable for scenes such as software development, project management and production scheduling.

The invention relates to the technical field of substation automation of a power system, discloses a monitoring information table intelligent generation method and system for a substation and a medium, and solves the problems that in the prior art, compiling of a monitoring information table depends on manpower, the efficiency is low, and the accuracy is poor. The method comprises the following steps of: analyzing a system configuration description file of a transformer substation to obtain initial information of signals of the whole substation, simulating to generate a signal displacement message with a unique identifier, and sending the signal displacement message to a station level network; acquiring actual signal data fed back from a telecontrol device and a monitoring host in response to the signal displacement message; taking the unique identifier as a correlation factor, matching the initial information with the fed-back actual signal data, and constructing a multi-source signal correlation mapping table; performing consistency verification and decision fusion on the multi-source description of each signal entry in the association mapping table to generate a unified and accurate signal description; and automatically generating a standardized monitoring information table based on the unified description and the associated signal attributes.

The invention relates to a port toughness optimization method and system based on a traffic network and power grid coupling model. The method comprises the steps of obtaining system configuration and structure parameters of a traffic network and a power grid of a port; calculating the container throughput of the port in the initial state before an extreme event occurs in the port; after an extreme event occurs in the port, according to the traffic network and power grid coupling model, gradually calculating the operation state of a coupling network formed by the traffic network and the power grid at each moment, and calculating the container throughput of the port in the lowest state; after the port is repaired, a recovery strategy is obtained step by step according to the traffic network and power grid coupling model so as to repair the port, and the container throughput reaching a stable state after the port is recovered is obtained; and according to the container throughput of the port in the initial state, the lowest state and the stable state, calculating a port toughness index so as to carry out port configuration optimization. Compared with the prior art, the method realizes accurate and complete quantitative evaluation and optimization of port toughness.

The application is suitable for the technical field of electric power metering and prepayment system, and relates to a Token server heterogeneous security module mixed scheduling method and system, which comprises the following steps: setting an active module set of the system, m is the number of active modules, acquiring the current remaining Token quantity and concurrent processing capacity of each active module i, and acquiring the total number N of current Token generation requests to be processed; calculating the remaining Token proportion after the distribution of the active module i and the proportion of the concurrent capacity of the active module i in the comprehensive concurrent capacity of all modules; establishing an optimization model with and as a target function; solving the optimization model to obtain the Token request quantity of each module, completing the distribution of the Token generation request and updating the remaining Token quantity of each module. The application can greatly reduce the Token purchase quantity and the number of security module deployments, and greatly improve the economy of system configuration.

The invention provides a multi-secret confusion mode component homomorphic encryption method, system and device and a medium, and relates to the technical field of homomorphic encryption, and the method comprises the steps: generating a coding mode base set and an encryption mode base set according to safety parameters and system configuration; generating a key associated with the encrypted modulo set; coding the plurality of secret messages to be encrypted and the random number into a plaintext; calculating a real modulo component of the plaintext for each encryption modulo to generate a random list, and replacing a specified column element of a corresponding row in the random list with each real modulo component according to the key to obtain a ciphertext; performing homomorphic operation on the at least two ciphertexts under the encryption mode base to obtain a result ciphertext; and extracting a real mode component from the result ciphertext according to the key, reconstructing a plaintext, and decoding to obtain a secret message after homomorphic operation. According to the method, while multi-message parallel homomorphic calculation is supported, the ciphertext security is enhanced through a confusion mode component structure, and correct recovery of an operation result is ensured.

When establishing a work stop plan in a power system, it is difficult to consider whether it is possible to simultaneously stop all combinations of work, and reduction of arbitrary combinations reduces the explainability and index in the work stop plan. In order to solve this problem, provided in a power system is a work stop plan creation assistance system that comprises at least a processing unit and a storage unit and receives, as inputs, work list data including one or more tasks, system configuration data, and future prediction scenario data including future demand prediction or renewable energy output prediction. The processing unit: uses data from the storage unit to extract a facility in which a power flow changes by a prescribed amount when the facility is stopped due to work; calculates flow sensitivity for the extracted facility; uses the flow sensitivity to extract the most severe condition of an objective function or a constraint function for a work stop plan; calculates the value of the objective function or the constraint function when the work was performed in accordance with the most severe condition; and determines the importance from the calculated value when the work was performed.

The embodiment of the invention provides a method and equipment for determining a power system configuration scheme and a medium. The method comprises the following steps: determining the initial inertia of a system; if the initial inertia of the system is smaller than the inertia demand value, the reactive response capability of each new energy node is calculated, and a first node is determined; if the first node is different from the previous configuration scheme, taking a new energy node of which the short-circuit ratio is smaller than a short-circuit ratio threshold value as a second node after simulating to carry out network construction type transformation on the first node; determining a current configuration scheme and a corresponding configuration cost; after the second node is simulated to be subjected to synchronous phase modifier configuration, the initial inertia of the system is determined again, and the step of judging whether the initial inertia of the system is larger than or equal to the inertia demand value or not is executed again; and if the first node is the same as the previous configuration scheme, selecting the scheme with the lowest configuration cost. According to the scheme, various configuration schemes of the new energy power system can be determined, the scheme with the lowest cost is selected as the target configuration scheme, and the economical efficiency of system transformation is guaranteed.

The application discloses a kind of low-voltage distribution cabinet arc fault whole cycle management and control methods, belong to low-voltage distribution and industrial internet of things technical field, solve the defects of existing technology early warning lag, false alarm rate is high, emergency disposal network failure, no whole cycle closed-loop management and control.This method uses the double redundancy architecture of edge local priority and cloud platform bottom, including six steps of preposition system configuration and grid responsibility binding, multi-source data acquisition and edge preprocessing, super-early three-stage early warning and preposition intervention, fatal arc fault cloud edge collaborative emergency disposal, fault closed-loop operation and management and control, whole cycle data archiving and model iteration optimization, supporting working condition feature distinguishing rule and multi-source composite verification logic.The application can realize arc fault early identification for 1 to 3 weeks, false alarm rate is controlled within 0.1%, completes local emergency disposal within 100ms and network failure is not invalid, forms arc fault whole life cycle closed-loop management and control, and greatly reduces electrical fire and equipment damage risk.

The invention discloses a global configuration management system and method for a multi-control-domain vehicle-mounted system, and centralized management of multi-control-domain configuration is realized through a configuration management server, a Redis sentry node cluster and a Redis master-slave node cluster. The Redis server is used as a configuration storage engine, role-based access control is realized by adding built-in attributes in configuration data, fine-grained authority management is supported, and configuration is prevented from being modified unintentionally; and master-slave replication is adopted to ensure the consistency of data, version management, persistent storage and automatic backup recovery of configuration data are supported, and meanwhile, a complete configuration change auditing and rollback mechanism is provided. According to the invention, the problems of scattered configuration, low updating efficiency, insufficient safety and the like in the traditional configuration management method are solved, the efficiency, the safety and the maintainability of the configuration management of the vehicle-mounted system are remarkably improved, and a solid technical support is provided for the development of intelligent networked automobiles.

A kind of early warning system based on environmental meteorological parameter to photovoltaic flexible support cable includes the environmental data acquisition unit connected in turn, data transmission and storage unit, data processing and analysis unit, early warning unit;Environmental data acquisition unit acquires original data after transmission to data processing and analysis unit by data transmission and storage unit, data processing and analysis unit send result to early warning unit after processing data, generate early warning information and output after output;It also includes system configuration and management unit, system configuration and management unit are communicated with each unit data respectively to realize whole-process management and control.The present application solves the problems of low efficiency of manual inspection, traditional sensor is easily disturbed, lack of early warning capability in existing photovoltaic flexible support cable monitoring, monitoring is comprehensive and reliable, analysis is accurate, operation and maintenance is efficient and low cost, and adaptability is strong.

Systems, methods, non-transitory computer-readable media to perform operations associated with the storage medium. One system includes a storage medium and an encoding / decoding (ED) system to perform operations associated with the storage medium, the ED system being configured to process a set of log-likelihood ratios (LLRs) and a syndrome vector to obtain a set of confidence values for each bit of a codeword, estimate an error vector based on selecting one or more bit locations with confidence values from the set of confidence values above threshold value and applying hard decision decoding to the selected one or more bit locations, calculate a sum LLR score for the estimated error vector, and output a decoded codeword based on the estimated error vector and the sum LLR score.

This disclosure provides systems and methods for wireless communication that support enhanced in-vehicle network (IVN) configuration operations. In a first aspect, a vehicle includes a plurality of IVNs of an IVN system with a plurality of sensors and a plurality of electronic control units (ECUs), at least one processor, and a memory coupled to the at least one processor. The at least one processor is configured to cause the vehicle to: obtain IVN configuration information corresponding to a particular IVN system configuration; configure one or more sensors of the plurality of sensors, one or more ECUs of the plurality of ECUs, or both, for unicast and groupcast wireless communications based on the IVN configuration information; and wirelessly transmit via the one or more sensors or the one or more ECUs using the particular IVN system configuration. Other aspects and features are also claimed and described.

The invention discloses a calibration method based on a flying focus x-ray imaging system, which belongs to the technical field of x-ray scanning and comprises the following steps: S1, setting up a calibration environment; s2, scanning a focus, and controlling electron deflection by a deflection system to enable the focus to move point by point in a focal plane; s3, data acquisition: acquiring a signal generated after the x-ray passes through the hole slot by a detector; s4, searching effective focuses, and automatically searching focuses aligned with the hole slots through an algorithm; and S5, data updating: refreshing a system configuration table and current parameters. According to the calibration method based on the fly-focus X-ray imaging system, the calibration work of the fly-focus imaging system is achieved through a simple process and an intermediate process, a complex subsystem independent calibration scheme depending on a precise process is replaced, the usability of products is improved, and the production, machining and maintenance cost is reduced.

This provides a feedback control system for optimizing the performance of a grid-interactive building (GIB) system configured to regulate the indoor environment of a building. [Solution] The feedback control system comprises a time-series underlying model that predicts disturbances affecting the building's energy consumption, and a probabilistic feedback controller configured to determine control inputs to the GIB system by evaluating multiple control actions for the GIB system based on the predicted disturbances, wherein the probabilistic feedback controller maximizes the likelihood that the control inputs achieve desired indoor environmental conditions while minimizing energy consumption. The feedback mechanism of the feedback control system fine-tunes the time-series underlying model and updates the probabilistic feedback controller using real-time data including indoor environmental conditions, actual energy consumption, and external factors.

The invention provides an automatic testing method and system for tool chain database file analysis and mapping, and belongs to the technical field of automatic testing. The method comprises the steps that a source file is obtained, and first configuration data is obtained through analysis; obtaining a vehicle control operation system configuration file generated after the tool chain performs analysis and mapping processing on the source file, and performing analysis to obtain second configuration data; calling a mapping rule according to a to-be-tested configuration parameter object, and performing mapping processing on the first configuration data to obtain target configuration data; and performing automatic data comparison on the second configuration data and the target configuration data to generate a test report. The method has the beneficial effects that special verification is performed on the correctness of the configuration file of the vehicle control operation system mapped by the source file through tool chain analysis in the design and configuration stage, so that the configuration error of the tool chain caused by the file analysis and mapping error is found in time, the error is prevented from being left in the downstream code generation, integration and function test stage, and the operation efficiency is improved. And the later-stage troubleshooting, debugging and repairing cost is reduced.

A system for generating extraction prompts and / or keywords for retrieval augmented data extraction. The system is configured to obtain a plurality of training chunks, where a plurality of first chunks of the plurality of training chunks have the data entity for which the keywords and extraction prompt is being generated. The system generates a first input for one or more language models comprising the data entity for extraction, the plurality of first chunks, and a first request to determine one or more keywords from related to the data entity from the plurality of first chunks. The system also generates a second input for the one or more language models comprising the data entity for extraction, the plurality of first chunks, and a second request to generate instructions to extract the data entity from the plurality of first chunks. The system refines the keywords and the instructions for the extraction prompt.

The application provides a configuration information synchronization method of a vehicle. A bill of materials system generates first configuration information of a target vehicle according to a configuration instruction, a product data management system synchronizes the first configuration information and sends the first configuration information to a configuration word system, the configuration word system generates electrical inspection configuration words of the target vehicle according to the first configuration information, and sends the electrical inspection configuration words to the product data management system, so that the configuration information of the vehicle stored in the bill of materials system, the product data management system and the configuration word system is automatically updated, without manual update by a user, thereby reducing the operation of the user.

The invention relates to the technical field of data processing, and discloses an event venue informatization planning method and system for comprehensive sports events. A to-be-deployed system determination mode, a basic system configuration information determination mode, a final system configuration information determination mode and a region allocation scheme determination mode can be used for determining the deployment system configuration information. Finally, a system facility integration scheme determination mode and an informatization planning scheme generation mode realize an event venue informatization planning function for a target sports event and a target event venue, and the comprehensiveness and rationality of the event venue informatization planning mode are improved. The diversity, flexibility and pertinence of parameters related to determination of the competition venue informatization planning scheme are improved, and then the accuracy, reliability, generation efficiency and generation convenience of the determined competition venue informatization planning scheme are improved, so that the accuracy and efficiency of competition venue informatization planning of comprehensive sports events are improved; and the information construction of the competition venue can be guided.

A power supply configuration method is suitable for configuring a plurality of power supply units, and uses a baseboard management controller to execute the following steps: determining whether a preferential power supply configuration scheme is stored; when it is judged that the preferential power supply configuration scheme is stored, configuring the power supply units according to the preferential power supply configuration scheme; obtaining a maximum power supply configuration scheme and an optimal power supply configuration scheme according to the total number of the power supply units, the maximum power of each of the power supply units and a system configuration list; transmitting the maximum power supply configuration scheme and the optimal power supply configuration scheme to a client device; and receiving a user response transmitted by the client device, and updating the priority power configuration scheme according to the user response.

The invention relates to an LNG (Liquefied Natural Gas) cold energy utilization project assembly type technical scheme evaluation method, system and equipment and a medium. The method comprises the following steps: selecting a feasible technical scheme of a to-be-evaluated LNG cold energy utilization project meeting the requirements of a project design stage; generating a multi-dimensional technical scheme evaluation result of the feasible technical scheme of the to-be-evaluated LNG cold energy utilization project; when the feasible technical scheme of the to-be-evaluated LNG cold energy utilization project is a single module, taking a conventional technical scheme evaluation result of the feasible technical scheme of the to-be-evaluated LNG cold energy utilization project as a fabricated technical scheme evaluation result of the technical scheme of the LNG cold energy utilization project under the single module; when the feasible technical scheme of the to-be-evaluated LNG cold energy utilization project is multi-module, generating a multi-module combination evaluation result of the feasible technical scheme of the to-be-evaluated LNG cold energy utilization project, and taking the multi-module combination evaluation result as an assembly type technical scheme evaluation result of the technical scheme of the to-be-evaluated LNG cold energy utilization project under the multi-module condition; and determining the technical scheme of the to-be-evaluated LNG cold energy utilization project and the corresponding system configuration thereof.

The invention provides a multi-modal data processing method and device, and the method comprises the steps: setting an independent centralized configuration center for each business module for a data labeling system comprising a plurality of business modules; when the data annotation system receives a data annotation task, according to a task type corresponding to the data annotation task, requesting and obtaining a corresponding task execution configuration from the centralized configuration center; according to the obtained task execution configuration, processing the multi-modal data associated with the data labeling task; the task execution configuration comprises label system configuration of a data labeling task, large model template configuration of a data reasoning task and role permission configuration of data access control. According to the method and the device, the problems of high module coupling degree, process solidification and difficulty in flexibly and efficiently responding to diversified and frequently-changed multi-modal task requirements of a data annotation platform are solved, and the efficient and flexible delivery capability oriented to various modal data and customization requirements is accelerated.