35 results about "Group system" patented technology

Systems and methods for migrating users and modifying workspace definitions of persona groups are described. In some embodiments, a memory storage device may have program instructions stored thereon that, upon execution by a workspace orchestration service, cause the service to: distribute a first workspace definition based upon a first persona group associated with a user to a client device operated by the user, where the user IHS is configured to instantiate a first workspace based upon the first workspace definition; and in response to a change in a productivity or security metric of the first workspace, determine whether to: (a) migrate the user to an existing second persona group, (b) create a third persona group and migrate the user to the third persona group, (c) modify the first persona group and migrate the user to the modified first persona group, or (d) identify a potential security threat.

The application provides a kind of multi-microgrid collaborative economic dispatching method based on blockchain, comprising: based on microgrid group multi-group architecture model, construct microgrid group dispatching architecture model based on blockchain;Based on objective function submodel, constraint condition submodel and incremental cost submodel, an economic dispatching model is constructed;Wherein, economic dispatching model includes: microgrid layer economic dispatching model and microgrid group layer economic dispatching model;Based on microgrid group dispatching architecture model, intra-group scheduling is carried out on microgrid layer economic dispatching model, and inter-group scheduling is carried out on microgrid group layer economic dispatching model, to obtain multi-microgrid collaborative economic dispatching result.The application constructs microgrid group system distributed dispatching architecture, designs system economic dispatching model with comprehensive economic and environmental protection targets, and proposes a kind of intra-group optimization and inter-group optimization economic dispatching method based on blockchain.In the case of ensuring good expansibility, the economic efficiency and fault tolerance of microgrid group are improved.

The invention discloses a unit dam risk removal and reinforcement overall disposal method in a cascade dam group environment, which comprises the following steps: calculating all unit dam risk elastic coefficients of a cascade dam group system in an initial state, and sorting from large to small to obtain a cascade dam group system risk removal and reinforcement priority; grouping unit dams in the cascade dam group system, putting k unit dams with the maximum risk elastic coefficient into a set G, and forming a set H by the remaining unit dams; reliability distribution of all unit dams in the set G and updating of risk elastic coefficients of all unit dams of the dam group system after distribution are repeatedly conducted till the risk level of the cascade dam group system and the reliability index level of the unit dams meet the requirements, and at the moment, the dams in the set G are the dams needing to be subjected to risk removal and reinforcement. And the corresponding reliability improvement level is a danger removal and reinforcement target of each unit dam. According to the method, the risk removal and reinforcement decision scheme of the cascade dam group system is made under the guidance of the unit dam risk elastic coefficient, and the overall risk of the cascade dam group system can be quickly reduced.

The invention provides a professional recommendation post group system and method based on a large model and two-way recall, and relates to the technical field of educational informatization. The post group capability processing module, the professional capability processing module, the capability matching module, the employment matching module, the two-way recall and score merging module and the report generation module are connected with the calculation processing unit, and the calculation processing unit interacts with the large model service interface, the knowledge graph database and the capability vector database. According to the method, deep semantic understanding is carried out on the unstructured professional cultivation scheme through the large language model, the professional ability corresponding to multiple dimensions of course setting, practice links and graduation requirements can be dynamically recognized and quantified, the defects that traditional manual extraction is low in efficiency, quantification is rough, and updating is lagged are overcome, and the method is suitable for large-scale popularization and application. Therefore, the professional ability portrait can reflect the professional training reality more truly, and a high-quality data basis is provided for subsequent matching.

This invention proposes a multi-committee parallel Byzantine fault-tolerant consensus method, GP-BFT. This method groups system replicas into multiple independent committees based on the minimum Byzantine fault tolerance parameter. Each committee executes consensus in parallel, effectively reducing intra-group communication. A two-level leader election is employed: each committee elects a first-level leader responsible for intra-group consensus, and a second-level leader is elected from among the first-level leaders using a threshold coin to coordinate globally. A dual timeout handling mechanism is designed: when less than half of the committees time out, cross-path collaborative commit is used, leveraging committees that have completed consensus to drive the timed-out committees to quickly resubmit; when more than half of the committees time out, aggregated timeout certificates are used to advance the global round. This method significantly reduces consensus latency and communication overhead in large-scale replica scenarios while ensuring security and liveness.

The invention provides a verification method for logic system design and related equipment. The method comprises the steps that global analysis is conducted on source codes of the logic system design; generating a grouping system task based on a plurality of continuous non-blocking assignment statements meeting a preset grouping condition; updating an interface signal name based on modport definition and clock block definition; generating a virtual interface system task in a reference module where the non-blocking assignment statement is located so as to update the non-blocking assignment statement; constructing a mapping relation between the interface signal and the non-blocking assignment information; allocating a temporary storage space for the interface signal referenced by the non-blocking assignment statement in the interface module; based on the mapping relation and the temporary storage space, determining a non-blocking assignment write-in function and a non-blocking assignment cache function, and generating a target code; and transmitting a target value of the non-blocking assignment expression of the temporary storage space to an interface signal in the operation process of the target code so as to simulate the logic system design.

The invention relates to the technical field of hydropower dispatching operation, in particular to a real-time load optimal distribution method and device between cascade hydropower stations and a medium, a hydropower station group system is generalized according to a hydraulic relationship and reservoir inflow, and a cascade reservoir group is simulated; constructing a load distribution model according to the constraint relationship, building a solving framework, designing an environment state, a reward function and an intelligent agent of the solving framework, and training the intelligent agent; and solving the load distribution model based on the solving framework, screening selectable load distribution schemes according to constraint conditions and distribution requirements, and outputting a final load distribution scheme in combination with a water level control target and water energy utilization efficiency, thereby realizing dynamic simulation of a real-time operation process of the cascade power station and optimization of an inter-station load distribution scheme. In a novel electric power system, regulation and control of multi-target tasks such as flood control and power generation can be taken into consideration, the decision-making efficiency in the model solving process is effectively improved, and quick response to load distribution under the high-intensity peak regulation and frequency modulation background is achieved.

The invention discloses an encryption aggregation method and system for a household micro-grid, and is applied to the technical field of micro-grid group operation control, and the method comprises the steps: obtaining adjustable data of a plurality of household micro-grids; classifying the adjustable data of the plurality of household microgrids to obtain a plurality of to-be-adjusted data groups; and inputting the plurality of to-be-adjustable data groups into a micro-grid group system at least comprising a plurality of household micro-grids for processing to obtain to-be-aggregated ciphertext data, and performing threshold decryption processing on the homomorphic aggregated ciphertext by using a distributed key generation technology to obtain an aggregation result of the micro-grid group system. According to the method provided by the invention, the technical problems of privacy leakage and data security caused by plaintext uploading and user side sensitive operation data transmission in an existing household micro-grid aggregation mode can be solved, so that privacy protection of the original sensitive data of the household micro-grid is realized.

The application discloses a multi-temperature-zone heating furnace cross-scale design and temperature control optimization method and product, and belongs to the technical field of thermal field design and control of industrial heating equipment. The application is based on the structural operation coupling relationship between cross-scale objects, first constructs a small-size corresponding pi group system, and obtains a pi group system of a large-size object according to a thermal field equivalent mapping relationship with cross-scale transferability, and then inversely calculates to determine initial values of structural parameters and operation parameters of the large-size object, so that a large-size thermal field model is constructed to perform thermal simulation, and is adjusted in the case of meeting the thermal field equivalent mapping relationship with the thermal field distribution requirement of the large-size object, parameters can be optimized while ensuring that the thermal field simulation is close to the actual situation, and high cost and long period problems caused by multiple rounds of repeated trial production and experimental correction on the large-size multi-temperature-zone heating furnace are avoided.

The invention discloses a positive-pressure explosion-proof liquid-cooled electrical cabinet, which adopts a split type modular structure, the whole electrical cabinet is divided into an electrical cabinet main body unit and a radiator unit, and the radiator unit is arranged above the electrical cabinet main body unit, so that the transportation and the installation are convenient, and the occupied space during the installation is saved. The interior of the electrical cabinet main body unit is divided into a first installation area, a second installation area and a third installation area. The first installation area is provided with a positive pressure air inlet and power supply power-on control system, the second installation area is provided with an electrical control system, and the third installation area is provided with a liquid cooling pump set system. According to the electrical control system, a front-and-back two-layer layout form is adopted, and numerous devices and functional modules are reasonably arranged, so that the high-power variable-frequency driving control system with a compact structure is formed, the size of an electrical cabinet body is effectively reduced, and the high-power variable-frequency driving control system integrates two groups of rectification modules and four groups of inversion modules; and high-power output is realized.

The present application relates to the technical field of pipeline welding, in particular to a kind of nickel-iron-chromium alloy thick-walled pipeline welding system and method for being used in group, for solving the problems of low efficiency and unstable welding quality of the existing nickel-iron-chromium alloy thick-walled pipeline group and welding method;The group system includes the following modules: pipeline identification module, pipeline movement module, pipeline team platform, pipeline alignment module and pipeline welding module;The group system and welding method can realize the automatic pipeline team, improve the pipeline welding efficiency, and realize the team accurate control to the welding process, improve the welding quality.

The invention discloses a high-altitude steel structure weld joint paint repair unmanned aerial vehicle group system and a collaborative operation method thereof, and belongs to the technical field of unmanned aerial vehicle application. The design of cooperative work of the unmanned aerial vehicle group and the communication support vehicle is adopted, the unmanned aerial vehicle group is responsible for executing spraying operation, the communication support vehicle provides real-time signal transmission and material supply support, the unmanned aerial vehicle group and the communication support vehicle are efficiently linked, the spraying coverage range is remarkably expanded, and the operation efficiency is greatly improved; the unmanned aerial vehicle carries an optimized light-weight spraying device, so that the load and energy consumption are remarkably reduced while the spraying atomization quality is ensured; the cluster realizes autonomous path planning and task allocation by relying on a pre-loaded high-precision three-dimensional operation map, so that refined and dead-corner-free comprehensive spraying is carried out on a whole target area; and through the arrangement of the spraying steering mechanism, the spraying angle of the spraying head can be flexibly adjusted, and effective coverage of a dead angle area of a complex structure is achieved.

The invention relates to a computer-implemented method (100) for grouping error reports (10) into at least two error report groups (30) of different error situations (31, 32, 33, 34), and to a computer program product (8) associated therewith, a grouping system (5) and a system (200) comprising the grouping system (5) and at least one test system (1).

This invention relates to the field of multi-tenant cloud service technology and discloses a multi-tenant resource dynamic access method, cloud hosting system, and apparatus based on the MCP protocol, including: a client system, an intelligent agent system, an MCP routing service system, and an MCP service group system; the client system is used to initiate service requests to the intelligent agent system, receive the endpoint address and short token returned by the MCP routing service system, and establish and maintain an SSE long connection with the MCP service; the intelligent agent system is used to determine whether the service request needs to call an MCP tool, initiate an MCP tool call request through the SSE long connection, and process the returned result; the MCP routing service system serves as a central scheduling component. This invention uses tenant group dynamic routing, directing each tenant's MCP tool call to a dedicated endpoint, avoiding the mixing of tool interfaces from different tenants. GPT-4o testing verified that the MCP tool identification accuracy is improved from 60% in the prior art to over 90%, an improvement of 30%.

Systems, methods, and apparatuses enable one or more security microservices to resolve the disparate impact of security exploits to resources within a resource group. When a resource group is determined to be impacted by a security exploit, the one or more security microservices determines whether the members of the resource group are disparately impacted. In response, the one or more security microservices splits the resource group into an impacted resource group and a non-impacted resource group and applies exploit mitigation to the resource group members in the impacted resource group. When the one or more security microservices determine that the resource group members of the split resource group are no longer disparately impacted, the one or more security microservices combine the impacted resource group and the non-impacted resource group back into a single resource group.

The invention provides a teaching simulation training method and device, electronic equipment and a storage medium, and belongs to the technical field of education, and the method comprises the steps: inputting a classroom teaching plan into a pre-trained large language model, and enabling the large language model to analyze the classroom teaching plan and recognize a plurality of interaction nodes, generating a plurality of question templates for each interaction node; when it is detected that the classroom progress reaches any interaction node, one or more virtual student bodies with different communication characteristics are selected from a virtual student body set, and a student question is generated based on a question template corresponding to the interaction node; and recording interaction data to form an interaction log, and generating teaching feedback based on the interaction log, the high-simulation virtual student group system which has diversified communication characteristics, can generate structured interaction behaviors and supports quantitative feedback is constructed, and low-cost, extensible and high-fidelity normal school student teaching skill training is realized.

The invention relates to the technical field of prefabricated slab installation, and discloses a string type prefabricated slab group system for a narrow space and a construction method.The string type prefabricated slab group system comprises a plurality of prefabricated slabs, a plurality of connecting assemblies and a hoisting assembly, first hanging rings are fixed to the four corners of the side face of each prefabricated slab, and at least two second hanging rings are fixed to the side face of each prefabricated slab; every two adjacent prefabricated plates are connected through a connecting assembly, two sliding plates are arranged in each connecting assembly, and every two sliding plates are connected through a locking assembly. Through cooperation of the mounting plate, the limiting frame, the sliding plate, the lock hook, the locking assembly and the like, a plurality of prefabricated plates can be connected and formed in advance, during construction, the prefabricated plates are stacked in order, the connecting assembly is installed, the lock hook hooks the first hanging ring, the sliding plate is fixed through the locking pin, effective connection of the prefabricated plates in the vertical direction is achieved, and the construction efficiency is improved. Each prefabricated slab does not need to be independently hoisted, and hoisting times are reduced.

The invention discloses an inter-basin hydropower station group short-term optimization scheduling method considering virtual scheduling partitions. According to the method provided by the invention, by introducing a virtual scheduling partitioning mechanism, a complex cross-basin hydropower station group system is deconstructed into a plurality of subunits which operate cooperatively, firstly, reasonable division of the hydropower station group is realized according to a hydraulic power and electric power coupling relationship so as to remarkably reduce the dimensionality of an optimization problem, and the problem of curse of dimensionality is effectively avoided. And the real-time supply and demand characteristics and the adjustment potential of different areas are accurately identified by dynamically judging the input / output attributes of each subarea. And finally, collaborative optimization is carried out by taking the partitions as basic scheduling units, and the overall operation benefit of the system is maximized on the premise of ensuring that various complex constraints are met, so that the synchronous improvement of the scheduling calculation efficiency and the cross-basin hydropower collaborative complementary benefit is realized on the whole.

Various example embodiments relate to control of passenger traffic group systems. In particular, some example embodiments relate to eliciting user preferences for call allocations for the passenger traffic group system. At least one user preference may be considered when determining a set of candidate control parameters for the passenger traffic group system. At least one representative of the operation of the passenger traffic group system may be displayed to the user based on a simulation of the passenger traffic group system. The user may be enabled to accept the candidate control parameters or modify the user preferences to generate a further set of candidate control parameters. Apparatuses, methods, and computer programs are disclosed.

The invention provides a power grid operation mode division and power balance method considering multiple types of states and a related device, and aims to solve the problems of complex structure, heavy load of a transformer, unbalanced load and the like in the operation of an AC / DC micro-grid group system. The method comprises the following steps: acquiring state parameters such as transformer heavy load, system critical power PC, storage battery SOC and the like; dividing five main modes and sub-modes based on fault types and state parameters; the VSC power is regulated and controlled through a load balancing strategy, so that the load rates of the transformers are equal to reduce the loss; mode switching is completed within 100 ms, and it is ensured that the load rate fluctuation is smaller than or equal to 5%. The device correspondingly comprises a state parameter acquisition module, a mode division module, a power regulation and control module and a switching module. According to the method, multi-dimensional dynamic regulation and control are realized, the system stability, economy and fault response speed are improved, and the method is suitable for an intelligent power distribution scene with high-proportion renewable energy access.

The application provides an optimization control method and a parallel cold machine group system, and the method comprises the following steps: collecting operation parameters of the cold machine group system; calculating branch flow of each cold machine by constructing a multi-constraint model based on the operation parameters of the cold machine group system; constructing a characteristic curve of each cold machine based on the operation parameters of the cold machine group system and the branch flow of each cold machine; constructing an optimization model based on the characteristic curve of each cold machine, taking the maximum comprehensive energy efficiency ratio (COP) of the cold machine group system as the target, calculating the combination mode and load rate distribution of each cold machine of the cold machine group system; and outputting an optimal cold machine group system operation scheme based on the combination mode and load rate distribution of each cold machine of the cold machine group system, and controlling the cold machine group system to execute the cold machine group system operation scheme.

The embodiment of the invention discloses an industrial personal computer and an elevator group system.The elevator group system comprises the industrial personal computer, a control cabinet and elevator equipment, the control cabinet is connected with the industrial personal computer and the elevator equipment, and the elevator equipment transmits elevator running state information to the control cabinet; the elevator running state information is transmitted to an elevator group control module in the industrial personal computer through the control cabinet, and the elevator group control module generates elevator calling instruction response information for target elevator equipment based on the elevator running state information and the elevator calling instruction information under triggering of an elevator calling instruction. The elevator calling instruction response information is transmitted to the target control cabinet through the industrial personal computer, the elevator calling instruction response information is transmitted to the target elevator equipment through the target control cabinet, and the elevator calling instruction response information is used for indicating the target elevator equipment to carry out elevator calling instruction response processing. And the development cost and the development time of the system architecture are saved.

A cell feeding system (100) and method, a cell grouping system and method, and an operation system are provided. The cell feeding method includes: controlling a first conveyor line (111) to convey inflowing cells to a first material fetching position (210); controlling a second conveyor line (112) to convey inflowing cells to a second material fetching position (220); controlling a third conveyor line (113) to convey inflowing cells to a side taping station (240), and conveying the cells subjected to side taping treatment to a third material fetching position (230); controlling a first feeding and grabbing mechanism (121) to grab a first number of cells from a first material fetching position to a first feeding area (251) in the feeder position (250); and controlling a second feeding and grabbing mechanism (122) to grab a first number of cells from a target material fetching position to a second feeding area (252) in the feeder position; where the target material fetching position is selected from the second material fetching position or the third material fetching position based on the type of a current module to be assembled.

The invention discloses a deep learning-based smart travel scenic area passenger flow prediction method. The method comprises the steps of obtaining a preliminary multi-scale distribution feature set; obtaining an enhanced intrinsic correlation feature vector; obtaining an initial dynamic grouping result set; obtaining a mode conversion tracking sequence; a re-clustering mechanism is applied to the recognized breaking points to fuse the internal association feature vectors, and an updated dynamic grouping system is obtained; the updated dynamic grouping system is matched with the real-time passenger flow distribution data, whether the dynamic change triggers a grouping adjustment threshold value or not is judged, and an adaptive grouping updating signal is obtained; and a final tourist group division structure is generated according to the adaptive grouping update signal, the fusion mode conversion tracking sequence and the inherent association feature vector, and a passenger flow management system data set is obtained. According to the method, the problems that a traditional method is difficult to process group behavior mutation, holiday behavior drift and group boundary instability are solved from the algorithm level.

Systems, methods, and circuitries are provided for network slice based prioritization. In one example a UE receives, from a serving cell, a non-access stratum (NAS) message indicating network slicing AS group (NSAG) priority information. The UE receives system information that indicates NSAG-frequency priority information including, for each of one or more NSAG-frequency pairs, a NSAG-frequency priority for the NSAG-frequency pair, which neighbor cells support the NSAG-frequency pair, and whether the serving cell supports the NSAG-frequency pair. The UE prioritizes frequencies based on the NSAG priority information and the NSAG-frequency priority information and performs radio resource management (RRM) measurements or cell reselection based on the prioritized frequencies.

The invention belongs to the technical field of power system risk assessment and decision making, and discloses a Markov-based wind and light storage base group system extreme meteorological operation method. According to the method, a meteorological-power generation-load-flexibility four-dimensional MDP state space is constructed, a meteorological condition layered transition probability model is established, LOLP, EENS, CVaR and RSI multi-dimensional risk indexes are calculated, 15-minute / 1-hour / 24-hour comprehensive risk indexes are implemented, and risk grading is performed based on a dynamic threshold value. According to the method, the technical blank of dynamic evaluation of the insurance supply risk of the GW-level wind and light storage base group system under the extreme weather is filled, the risk prediction accuracy is improved, the early warning time is advanced, a quantitative decision basis is provided for insurance supply mode switching, and the method has important engineering application value.

The invention discloses a reservoir water level optimization regulation and control method for elastic risk balance of a cascade dam group system, and the method comprises the steps: determining a difference W between an inflow flood amount and an outflow flood amount, and calculating the risk elastic coefficient of each unit dam in the cascade dam group system in an initial state; the unit dams are grouped, the dam with the minimum risk elastic coefficient is classified as G, and the remaining dams are classified as H; repeatedly carrying out flood volume distribution on each reservoir in the G and calculating the risk elastic coefficient of the unit dam after distribution until all the risk elastic coefficients in the G are smaller than or equal to the minimum risk elastic coefficient in the H; and judging the distribution completion of the flood volume W, and if the total flood volume distribution is not equal to the flood volume W, re-grouping the unit dams, distributing the flood volume and calculating the risk elastic coefficient until the total flood volume distribution is equal to the flood volume W. Compared with the prior art, from the perspective of combination of system risk minimization and risk elastic coefficient balance, optimization regulation and control of the reservoir water level in the cascade environment are achieved, and the service risk of the cascade dam group is prevented and controlled as a whole on the system level.

The embodiment of the application discloses an industrial computer and an elevator group system, the elevator group system comprises an industrial computer, a control cabinet and elevator equipment, the control cabinet is connected with the industrial computer and the elevator equipment respectively, wherein the elevator equipment transmits elevator running state information to the control cabinet, the elevator running state information is transmitted to an elevator group control module in the industrial computer through the control cabinet, the elevator group control module generates elevator call instruction response information for target elevator equipment based on the elevator running state information and elevator call instruction information under the triggering of the elevator call instruction, the elevator call instruction response information is transmitted to the target control cabinet by the industrial computer, and the elevator call instruction response information is transmitted to the target elevator equipment through the target control cabinet, and the elevator call instruction response information is used for instructing the target elevator equipment to perform elevator call instruction response processing, so that the group management control system architecture is optimized, and the system architecture development cost and development time are saved.

This invention relates to the field of intelligent connected vehicle technology, addressing the shortcomings of existing intelligent connected vehicle communication network trust assessment and consistency coordination. Specifically, it relates to a collaborative control method for trusted interaction among intelligent connected vehicle groups under a zero-trust architecture. By fusing direct and indirect trust functions to obtain a dynamic comprehensive trust assessment function, it achieves real-time fusion of the global communication network and the comprehensive trust calculation model, accurately quantifying the degree of interaction between vehicles and significantly improving the safety performance of ICV group interaction. A distributed collaborative control algorithm based on state feedback adapts to differences in vehicle trust levels, achieving the goal of consistent coordination among vehicle queues and ensuring the stability of collaborative control in dynamic communication scenarios for the ICV group. The integrated design of zero-trust security protection and vehicle communication network allows the security of communication relationships in the ICV group system to be updated in real time, adapting to the communication topology changes under dynamic vehicle movement.