129 results about "Group system" patented technology

The invention discloses a decentralized differential game cooperative guidance method for a missile cluster under a switching communication topological structure, and the method comprises the steps: introducing a virtual leading missile-slave missile architecture, enabling each missile to construct a virtual leading missile from an initial position, enabling nodes in a simplified virtual leading missile group system to interact through the state information of a topological structure, coordinating a virtual state, and achieving the cooperative guidance of the missile cluster under the switching communication topological structure. And generating a virtual consensus state track so as to realize decentration control. Communication topological structure switching is considered, an optimal control scheme for tracking an expected trajectory is solved in combination with a differential game theory and self-adaptive dynamic programming, and a network weight updating mechanism is designed in the process of solving an optimal control strategy for a nonlinear system line. According to the scheme, the average residence time limiting condition of switching signals is put forward, hypotheses and conditions needing to be met by part of parameters and variables are given, under the scheme, the designed multi-Lyapunov function can achieve exponential convergence, and the stability performance of a missile cluster using the guidance scheme under the topology switching condition is guaranteed.

The invention provides a cross-device real-time dynamic adjustment grouping system which comprises an identity authentication module, a distributed synchronization module, a rule engine module, a trigger engine module and an algorithm engine module, and all the modules are coupled and interacted through standardized data interfaces. Unified management and authentication of user identities in a multi-device environment are realized by establishing a user-device-grouping ternary association relationship, static distribution and dynamic adjustment of user permissions are realized by adopting a dynamic adjustment strategy, a multi-dimensional grouping rule is formulated to screen out users meeting conditions as the same group, and grouping is dynamically adjusted by adopting a multi-dimensional triggering strategy. Based on a K-means clustering algorithm in combination with a greedy strategy, intelligent calculation and optimization of dynamic grouping are performed, data synchronization among devices is realized based on a distributed architecture, and real-time dynamic adjustment and efficient cooperation of grouping in a cross-device environment are realized.

The invention discloses a reservoir group multi-objective optimization scheduling method coupled with an ISMAA-VIKOR decision model, and belongs to the technical field of reservoir scheduling, and the method comprises the steps: obtaining basic data and parameters of reservoir group optimization scheduling operation, and carrying out the reasonable generalization of a reservoir group system; a specific scheduling task of the reservoir group is analyzed, an objective function and constraint conditions of an optimization scheduling model are determined, and a multi-objective optimization scheduling model is constructed; an NSGA-III algorithm is adopted to solve the multi-target optimization scheduling model, and a reservoir group multi-target optimization scheduling scheme set is obtained; and establishing an evaluation index system for optimizing a scheduling scheme, and determining an optimal scheduling operation scheme of the reservoir group in combination with an ISMAA-VIKOR multi-attribute decision model. By the adoption of the method, global optimization of the multi-target operation scheme of the reservoir group can be achieved, and the actual requirement of a decision maker for reasonably and efficiently selecting the optimal scheduling scheme of the reservoir group is effectively met.

The invention discloses a modeling analysis method suitable for a high holding power anchor group system, which comprises the following steps of: S1, establishing a solid model of the high holding power anchor group system and seabed soil in a finite element model, and obtaining a finite element model main program; s2, anchor chain tension is applied to an anchor chain tension application point at the front end of the mooring anchor chain entity model; S3, in the calculation process of the finite element model main program, horizontal displacement and vertical displacement of a front mooring point are monitored, horizontal displacement and vertical displacement of a rear mooring point are monitored, and a movement track curve of the high holding power anchor group system entity model is obtained. According to the method, the predictability of the embedding behavior of the high holding power anchor group system can be improved, the accuracy of numerical simulation can be improved, the real-time changing anchor chain tension borne by the mooring anchor chain and the spatial form and transmission tension of the mooring anchor chain and the connecting anchor chain can be accurately described, the modeling complexity of a finite element model is reduced, and the calculation efficiency is improved.

The invention provides an intelligent decision-making method for flood control scheduling of a basin reservoir group system. The method comprises the steps of advanced judgment of basin flood control risks, recognition of similar flood scenes, preliminary selection of flood control scheduling schemes, iterative optimization of the flood control scheduling schemes and risk feedback and scheme iterative optimization of the reservoir group system. According to the method, the problem of low efficiency of real-time flood control scheme calculation of an existing basin complex reservoir group is solved, and rapid flood control scheduling intelligent decision-making based on historical scene information and a loop optimization algorithm is realized.

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 invention discloses a matrix scale security consistency control method for an unmanned cluster system, which belongs to the technical field of unmanned autonomous system control, and comprises the following steps: S1, constructing a communication relationship in the unmanned cluster system by using a graph theory method; s2, constructing a dynamic model of the heterogeneous unmanned set system; s3, designing a matrix scale security consistency fault-tolerant algorithm based on a security kernel method, and updating a state by using an event trigger communication mechanism; s4, establishing sufficient and necessary conditions of the network topology for solving the matrix scale security consistency problem; and S5, verifying the validity of the proposed algorithm through a heterogeneous unmanned cluster system simulation example containing malicious nodes. By adopting the matrix scale security consistency control method of the unmanned gathering system, the application of multiple self-subjects can be more flexible, and the security consistency problem in a multi-dimensional state space can be effectively solved.

The invention relates to a method for determining a theoretical deflection angle of a single umbrella in a group umbrella system, which comprises the following steps of: calculating and analyzing the theoretical deflection angle of the axis of the single umbrella relative to the central line of a group umbrella bundle in the group umbrella system consisting of circumferentially and uniformly distributed and adjacently tangent single umbrellas according to a primary design principle of maximizing the resistance performance and the stability performance of the group umbrella system; the method can quantitatively reflect the influence of the number of umbrellas in the group umbrella system and the related design parameters of the single umbrellas on the theoretical deflection angle of the single umbrellas and the comprehensive performance of the system, and can preliminarily lay foundation for formation and gradual improvement of the theoretical design method of the group umbrella system.

The invention provides a method and system for evaluating the flood control effect of a specific reservoir in large reservoir group combined dispatching. The method comprises the steps that a research scene is determined, basic information of a reservoir group system and hydrological data of a reservoir area station are collected, and influence factors and decision variables of combined flood control optimal dispatching are determined; constructing a reservoir group joint flood control optimal scheduling model, determining a solution algorithm, and setting constraint conditions and a target function; according to the constraint condition and the target function, taking a preset flood combination as input, solving to obtain a value of the influence factor, solving the reservoir group joint flood control optimization scheduling model according to the value of the influence factor to obtain a value of the decision variable, and further calculating the outbound flow of each reservoir; and calculating a flood control evaluation index value of the specific reservoir according to the delivery flow of each reservoir. According to the method, the flood control benefit of the system is improved by fully considering the joint scheduling of the large reservoir group and the difference of flood scenes, and meanwhile, the flood control effect of the specific reservoir in the large reservoir group is reasonably evaluated.

The invention discloses a power coordination control method and system of a micro-grid group system. According to the method, an alternating-current and direct-current sub-grid power model, a power exchange unit power coordination control model and an energy pool hierarchical coordination control model are constructed, and a sub-grid, a power exchange unit and an energy pool are controlled based on the models respectively. Wherein the alternating current and direct current subnet power model considers the power exchange requirement between the micro-grid groups, so that the intermittency and the volatility of a power distribution unit can be effectively handled, and the power balance of each subnet is ensured. A self-adaptive power exchange coefficient is set in the power coordination control model of the power exchange unit, so that power exchange between each AC / DC subnet in the micro-grid group and the energy pool can be coordinated, energy mutual aid of each subnet is realized, and stable operation of voltage and frequency in each subnet is effectively maintained. And the energy pool hierarchical coordination control model stabilizes the direct current bus voltage of the energy pool and reasonably distributes the exchange net power of the power exchange unit.

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 present invention discloses a reservoir group optimization scheduling method and system, equipment and storage medium based on IMOSSA, which belongs to the field of water conservancy and hydropower. The scheduling method of the present invention includes: using the entropy weight method to screen the global optimal solution, based on the reference point strategy to perform individual screening and using the binomial crossover method to perform the finder individual update, and determining an improved multi-objective sparrow algorithm IMOSSA for solving multi-objective optimization problems; and collecting and collating the basic information of the reservoir group, generalizing the reservoir group system, and determining the hydraulic relationship between the reservoirs; and analyzing the tasks of the reservoir group, and constructing a multi-objective joint optimization scheduling mathematical model for the reservoir group; executing IMOSSA to solve the multi-objective joint optimization scheduling model of the reservoir group to obtain the Pareto non-inferior solution set, and determining the reservoir group scheduling operation plan. The reservoir group optimization scheduling method based on IMOSSA provided by the present invention can achieve global optimization, improve calculation efficiency, and meet the requirements of autonomous selection of reservoir scheduling plans.

The invention relates to the technical field of ships, in particular to a semi-submersible barge and a transportation method thereof.The semi-submersible barge comprises a ballast tank and a ballast pipeline system which are arranged at the bottom of a barge body, the ballast pipeline system comprises a main pipeline, the main pipeline is communicated with a plurality of branch pipelines, and the branch pipelines are communicated with the ballast tank; the ballast pipeline system further comprises a plurality of pump set systems arranged at intervals in the length direction of the main pipeline, and the pump set systems are all communicated with the main pipeline. A middle isolating valve is further installed on the main pipeline, pump set systems are arranged on the two sides of the middle isolating valve, the multiple pump set systems are used in parallel, ballast water can be conveniently injected into or discharged out of a certain ballast tank through the multiple pump set systems, and the ballast water load adjusting efficiency of the ballast tank is improved. The main pipeline is divided into a plurality of groups through the middle isolating valves, the pump set systems are arranged on the two sides of the middle isolating valves, each group is provided with the pump set system, and then the main pipeline and the pump set system of each group form a rapid load adjusting module.

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 relates to an establishment and configuration method of an engineering design and planning model, in particular to application of a stochastic programming model considering real-time constraints in optimal scheduling of a reservoir hydropower station. According to the method, a time period is divided into a current time period and a future time period, discretization description is carried out on water flow in the future time period by adopting a random water flow mode network, and a model objective function is established with the goal of maximizing the expected generating capacity of a reservoir group system in a dispatching period; and configuring model constraint conditions including a water balance equation, upstream and downstream hydraulic connection, generating capacity, reservoir capacity limitation, output limitation and initial and boundary conditions. Meanwhile, the method further provides a step of cutting the model mode network, the water flow mode network is simplified in a systematic and operable mode, and therefore the calculation efficiency and the real-time performance of the model are improved.

The invention discloses an aluminum ingot component grouping system and method based on a sliding window and intelligent combination optimization, and belongs to the technical field of aluminum smelting and casting. According to the method, weighted calculation is carried out on the weights of the multi-element chemical components (such as Al, Si, Fe, Cu, Ga, Zn and Mg) of the molten aluminum, and three decimal numbers are reserved by adopting a banker rounding method, so that the precision of the element mean value is remarkably improved; meanwhile, by presetting upper and lower limit standards of 70 aluminum and 85 aluminum, a mechanism of'automatic rejection below the lowest standard and automatic excitation above the high standard 'is established; the optimal combination is automatically screened after multiple sets of evaluation are carried out in the bag arranging process, it is ensured that the quality fluctuation of each bag of molten aluminum is reduced to the lower level, and therefore the follow-up aluminum blending difficulty is greatly reduced, meanwhile, the production line efficiency is improved, the system supports automatic sliding window bag arranging, window combinations can be automatically constructed from overall data, and evaluation decisions can be completed; by means of a rapid algorithm implementation mode, evaluation of each group of windows can be completed in several milliseconds.

Systems, methods, and apparatus for wireless communication are described. A wireless communication method includes receiving, by a wireless device, a set of channel state information (CSI) report configurations. The method further includes determining, by the wireless device and based on the set of CSI report configurations, two CSI reports corresponding to two receiving antenna port groups. The method further includes transmitting, by the wireless device, the two CSI reports.

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.

Systems and methods are provided to provision a customer-specific identifier in cloud-based communications systems so that when a communication arrives at the network services provider, it is identified as being associated with the customer, even when the customer information would otherwise not be available. In examples, when a customer orders communication services from the network services provider (or associates the communication services with a third-party Internet telephony service), the network services provider provides the customer a unique identifier that is provisioned into that customer's instance of the third-party Internet telephony service. When the customer makes a call using the third-party Internet telephony service, the identifier is inserted into the communication (e.g., in a SIP header). The identifier is extracted when the communication is received at the network services provider and used to identify the customer so that appropriate services, service levels, etc. can be applied to the call.

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 present invention discloses a double-sided composite coating device for a current collector electrode of a lithium battery, which is provided with a discharge mechanism, a first coating module, a second coating module, a receiving mechanism, and a roller group unit for setting the travel path of the coating material roll in sequence from the coating material roll feeding position to the discharging position; the first coating module, the second coating module, the discharge mechanism and the receiving mechanism are arranged in a horizontal position, and the discharge mechanism and the receiving mechanism are respectively placed on the left side or / and right side of the two coating modules. The coating device coats both sides simultaneously, thereby improving the coating efficiency. The arrangement positions of the coating module, the receiving mechanism and the discharge mechanism are rationally arranged to reduce the overall height of the equipment, making maintenance easier and more convenient. The entire roller group system is arranged as an integrated assembly and adopts an integrated dragging movement form, which has high precision. The evaporation coating unit is designed as an independent detachable structure, which can be removed from the main vacuum chamber for easy processing and transportation.

Systems and methods for multiple discontinuous receptions for a cell group are disclosed. In one embodiment, a method performed by a wireless communication device includes receiving a first discontinuous reception (DRX) configuration corresponding to a first DRX group (e.g., a first cDRX group) that includes a first subset of cells in a cell group, and receiving a second, different DRX configuration corresponding to a second DRX group (e.g., a second cDRX group) that includes a second subset of cells in the cell group.

The application discloses a kind of micro-grid group system distributed control method and terminal, establish the distributed communication mode of micro-grid group system, the overall power shortage specific value of micro-grid group system is calculated based on distributed communication mode, with the minimum power interaction of the common grid connection point of micro-grid group system to establish objective function, and based on overall power shortage specific value establishes constraint condition, to build micro-grid group system energy scheduling model by this, and the output distribution strategy of each sub-micro-grid is obtained by solving model, and the output distribution strategy of each sub-micro-grid is issued and executed based on distributed communication mode, to realize the distributed communication between micro-grid of micro-grid group system, and the output distribution strategy of each sub-micro-grid is obtained by building micro-grid group system energy scheduling model through overall power shortage specific value, to compensate for power shortage, to effectively realize the supply and demand balance of micro-grid group system.

The application discloses an elastic support assembly and an adjustable-inclination disc spring vibrating screen and relates to the technical field of vibrating screening. The elastic support assembly comprises a fixed bottom plate, a disc spring group system, a double-layer triangular plate main frame and connecting bolts; a through hole is arranged in a first layer bottom plate of the double-layer triangular plate main frame; the disc spring group system passes through the through hole of the first layer bottom plate of the double-layer triangular plate main frame and is arranged on the fixed bottom plate; the connecting bolts pass through the fixed bottom plate, the first layer bottom plate and a second layer bottom plate of the double-layer triangular plate main frame in sequence and are used for fixedly connecting the fixed bottom plate and the double-layer triangular plate main frame. The adjustable-inclination disc spring vibrating screen is realized by adopting a support assembly, an adjustable-inclination screen mesh, a driving device and a screen mesh inclination external adjusting device. The application is suitable for vibrating screening in mineral processing.

The invention discloses a topological entropy-based group system complexity measurement method, which belongs to the field of group motion complexity measurement, and specifically comprises the following steps of: for a group system to be measured, acquiring three tracks Xi, Yi and Zi of a track # imgabs0 # of each agent along a current agent in group motion, respectively slicing according to the length m of a sliding window, calculating the number of extractable fragments of each track; aiming at the ith slice track Hi in a single direction, rearranging all elements in the track according to numerical values, counting the number of the elements of which the arrangement sequence is pi j in all slice tracks, and calculating a group topological entropy Ek of the elements of which the arrangement sequence is pi j; adding and averaging the group topology entropy values of all the agents in three directions to serve as a group topology entropy value of the system; and finally, periodically intercepting fragments of a continuous track, and dynamically reflecting the transformation of the complexity of the whole group motion system by utilizing the group topological entropy of the fragments. The method is simple in calculation process and can be used in any large-scale group movement system.

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 provides a search and rescue robot group cooperative task allocation and path planning method and system. The method comprises the following steps: constructing a global product Markov decision process model according to task requirements corresponding to search and rescue robot group system tasks and current environment information; based on the MDP model, circularly selecting robots, and solving an optimal strategy of each robot in the local MDP model by using an improved Q-learning algorithm; the selected robot is controlled to move according to the optimal strategy, the environment estimation weight of each moving step of the robot is updated, and the environment estimation results of all the robots are fused; updating a global product MDP according to an environment fusion result, judging whether to enter a final state of the global product MDP, and if so, stopping calculation; if not, returning is carried out, and the final state is that all the robots complete the search and rescue tasks and all the positions in the implementation process are updated; the search and rescue robot aims at overcoming the defects in the prior art and effectively improving the applicability of the search and rescue robot in the actual task environment.

The invention relates to the technical field of breeding, in particular to an automatic grading and grouping system and method for boars, and the system comprises a data collection module, a data processing and analysis module, an automatic execution module, a system management and monitoring module, and a system integration and interface module. Compared with the defects of time and labor consumption, large error and difficulty in real-time updating due to the fact that the equipment is installed and positioned by depending on manual measurement and marking in the prior art, the scheme comprises the following steps: firstly, connecting and numbering the equipment and a plurality of routers, recording the equipment Mac address and the signal intensity by utilizing the routers, converting the Mac address and the signal intensity into distance information through a signal propagation model, according to the scheme, the positioning precision and efficiency are greatly improved, the rapid and automatic determination of the equipment installation position is realized, the real-time updating capability is realized, the labor cost is effectively reduced, and the flexibility and accuracy of the deployment of the data acquisition module are improved.