20results about How to "Solve coordination problems" patented technology

The invention provides a wireless communication and computing resource collaborative optimization method and system. The method provided by the invention comprises the following steps: establishing an initialized global model matched with a business demand for each service provider, and matching service resources of each service provider according to the business demand; establishing a service agent corresponding to each service provider; each service agent generates an optimal strategy based on the corresponding service resources and the state information of other service providers; sending the initialized global model to a distribution client according to an optimal strategy; each distribution client trains the received to-be-trained model based on the distributed service resources, and sends the trained model to the corresponding service provider; and aggregating the received trained models by each service agent to obtain a global model of the corresponding service. The method and the system provided by the invention are used for realizing collaborative optimization of wireless communication and computing resources and improving the overall performance and the resource utilization efficiency of federated learning.

The invention belongs to the technical field of battery thermal management, and discloses a battery pack and a phase change material coupling liquid cooling composite thermal management system.The battery pack comprises a plurality of battery structures, each battery structure comprises a lithium battery, a fin structure, a phase change material filling area and a liquid cooling plate, and the fin structure is arranged on the periphery of the lithium battery; the liquid cooling plate is arranged on the periphery of the fin structure, a phase-change material filling area is formed between the liquid cooling plate and the fin structure, and the phase-change material filling area is filled with a phase-change material for absorbing redundant heat and generating phase change, so that the temperature fluctuation of the battery is reduced. The lithium bromide heat pump and the direct-current power supply are combined, and accurate adjustment of the temperature of the battery pack is achieved through efficient heat exchange and intelligent control. The system can be rapidly switched between a cooling mode and a heating mode, and it is ensured that the battery is always kept within the optimal temperature range in different working environments.

The invention discloses a safety cooperative control method of a multi-robot system, and relates to the technical field of robot control. The method comprises the following steps: constructing a multi-mechanical-arm multi-robot system model; setting an end effector of the follower robot in a Cartesian space, and determining a dynamic model of the multi-mechanical-arm multi-robot system; according to the input-driven fuzzy state observer and the kinetic model of the multi-mechanical-arm multi-robot system, a distributed fuzzy observer error is obtained; according to the symbol graph network topology, constructing a bidirectional grouping cooperation error, a bidirectional grouping tracking error and a fuzzy estimation error; a backstepping method is applied to obtain a time-varying Tan type Lyapunov obstacle function; and then determining a distributed formation controller and an adaptive law, and determining a distributed bidirectional cooperative controller of the multi-mechanical-arm multi-robot system. The operation safety of the multi-mechanical-arm multi-robot system in a specific task space range is improved.

The invention provides a 700MPa-grade high-strength anti-seismic reinforcing steel bar and a production method thereof. The reinforcing steel bar comprises 0.24-0.28% of C, 0.50-0.80% of Si, 1.20-1.60% of Mn, 0.165-0.200% of V, 0.025-0.050% of Nb, 0.026-0.040% of N, [Nb] + [V] < = 0.23%, [V] / [N] < = 6.35, [C] + [N] < = 0.31%, ([Nb] + [V]) / ([C] + [N]) < = 0.67%, carbon equivalent Ceq < = 0.57% and the balance of iron and impurities. In the production method, the temperature of a soaking zone is 1255-1300 DEG C; water cooling is not adopted in the rolling process; and after rolling is completed, cooling to room temperature in air, the temperature on a cooling bed is larger than or equal to 1125 DEG C, and the cooling speed during natural cooling is smaller than 1 DEG C / s.

The invention relates to the technical field of big data processing and intelligent optimization, in particular to a rural space optimization method and system, and the method comprises the steps: collecting multi-dimensional data in a rural region in real time, carrying out the dynamic feedback analysis through an AI-driven feedback system, and combining a multi-agent system with a game theory model, thereby generating an optimal space layout path. And then, through association rule mining and a dynamic target re-optimization algorithm, continuously adjusting and optimizing the rural space layout, and realizing a long-acting optimization mechanism. According to the invention, changes can be responded in real time in a dynamic environment, sustainable development of a rural area is ensured, ecological protection, economic benefits and social acceptance are improved, and comprehensive optimization of a rural space is realized.

The utility model relates to the technical field of road engineering material production and processing, in particular to a bagasse fiber shearing device, which is characterized in that a plurality of arc-shaped cutters with single cutting edges are connected onto a main shaft to form a blade group, so that bagasse fibers can be effectively cut, the quality of the bagasse fibers is further improved, the quality fluctuation is reduced, and the service life of the bagasse fibers is prolonged. Meanwhile, the blade set is made of the 3Cr13 stainless steel material, the problem of heating of a cutter in the bagasse fiber machining and producing process is solved, in addition, due to the fact that the blades of the blade set are reasonable in cutting edge angle and thickness, the blade set can be used for machining bagasse fibers, and the machining efficiency of the bagasse fibers is greatly improved. In addition, the position of the motor is optimized, the belt is adopted for transmitting power, the problem that water enters the motor in the bagasse fiber preparation process is solved, the service life of the device is prolonged, and the safety of the device is improved.

This invention discloses a method for producing crop cultivation substrate using sugarcane filter mud and sugarcane pith as main raw materials, comprising the following steps: (1) dissolving and diluting 4,5-dihydro-4,5-dioxo-1H-pyrrolo[2,3-f]quinoline-2,7,9-tricarboxylic acid in water to obtain a solution; (2) mixing sugarcane slurry, sugarcane pith, the 4,5-dihydro-4,5-dioxo-1H-pyrrolo[2,3-f]quinoline-2,7,9-tricarboxylic acid solution, fermentation agent, and improver, adjusting the moisture content, and then composting and fermenting. The compost is turned over every few days and continuously composted and fermented for several days to obtain the crop cultivation substrate. The crop cultivation substrate produced by this invention is of excellent quality, allowing direct planting of plants without root burn. Therefore, this invention, using sugarcane filter mud and sugarcane pith as main raw materials to prepare and produce crop cultivation substrate, can effectively solve the problem of comprehensive utilization of sugarcane filter mud and improve product sales.

The present application relates to the technical field of computer vision, and relates to a 3D Gaussian sputtering stylization method, system, device and storage medium; wherein the 3D Gaussian sputtering stylization method comprises the following steps: obtaining a style image and a three-dimensional Gaussian scene to be stylized; performing non-negative matrix decomposition on the style image to extract an initial color basis matrix and an initial coefficient matrix of the style image; constructing a color orthogonal decoding model according to the initial color basis matrix and the initial coefficient matrix, and recalculating color parameters of each Gaussian primitive of the three-dimensional Gaussian scene; performing style transfer optimization on the Gaussian primitive, updating trainable parameters until an iteration termination condition is reached; and determining a stylized three-dimensional Gaussian scene according to updated geometric attribute parameters and color attribute parameters. The present application can solve the problems of color incoordination and dirty color during 3D Gaussian sputtering stylization.

The invention relates to a fuel cell self-learning control method for a vehicle-mounted multi-core controller, and the method comprises the steps: building a fuel cell system mechanism model based on fuel cell mechanism research, simplifying the model, and obtaining a fuel cell system control-oriented model; designing a controller to control the fuel cell system; calculating a model parameter at the next moment by adopting a model parameter self-learning algorithm; the controller parameters are updated in real time by adopting a controller self-learning algorithm; a multi-core processor is used, and fuel cell system self-learning control tasks are distributed to all cores of the processor and executed in a parallel mode. The fuel cell system parameter self-learning control method combining the model and controller real-time updating is provided, the working condition adaptation range of the fuel cell system is widened, and the model and control precision of the fuel cell system is improved; according to the method for realizing task parallelism by using the multi-core controller, the program running time is shortened, and the control real-time performance can be improved.

The invention discloses a spacecraft energy system fault simulation method based on stand-alone circuit-level modeling, and belongs to the field of spacecraft system simulation. The method comprises the following steps: firstly, establishing a spacecraft energy circuit system capable of comprehensively covering the state of a power supply network of an energy system, and carrying out hierarchical setting on fault types possibly occurring in the spacecraft energy circuit system; based on a spacecraft energy circuit system model, different fault data are injected at different levels, the fault data comprise fault types, set parameter variation ranges, fault occurrence moments and fault stop moments, then fault simulation setting and simulation operation parameter setting are carried out, analogue simulation is carried out, and a simulation result is obtained. The granularity of the model goes deep into a stand-alone circuit level, and perfect energy fault mode recognition and influence analysis are carried out based on the model, so that the model is supported to carry out perfect work such as reliability design, fault plan and reconstruction program design, and the long-term in-orbit flight safety of a spacecraft is ensured.

The invention provides a multi-dimensional coupling control method and device for a main protection device of a fused salt heat storage double-unit, and the method comprises the steps: carrying out the multi-dimensional state verification of the main protection device of the fused salt heat storage double-unit at a starting stage of the fused salt heat storage double-unit, and carrying out the multi-dimensional coupling control of the main protection device of the fused salt heat storage double-unit based on a preset gradual operation strategy; the main protection devices are put into operation in sequence according to the starting sequence, and operation parameters of the redundant measuring point set are collected according to a preset redundant measuring point configuration strategy; multi-dimensional coupling control is carried out on the fused salt heat storage double units through a preset multi-level fault early warning protection strategy, and the reliability of a main protection system under the abnormal or fault working condition of a measuring point is remarkably improved by constructing a dynamic fault-tolerant and self-healing mechanism; by means of a multi-level and multi-parameter cooperative control strategy, precise early warning and gradient protection of double-unit operation risks are achieved, a self-adaptive protection system covering all working conditions is formed, and the safety and stability of the fused salt heat storage system in dynamic operation environments such as deep peak regulation are comprehensively enhanced.

The present invention relates to a fuel cell self-learning control method for a vehicle-mounted multi-core controller, the method comprising: establishing a fuel cell system mechanism model based on fuel cell mechanism research, and then simplifying the model to obtain a control-oriented model of the fuel cell system; designing a controller to control the fuel cell system; using a model parameter self-learning algorithm to calculate the model parameters of the next moment; using a controller self-learning algorithm to update the controller parameters in real time; using a multi-core processor to distribute the fuel cell system self-learning control task to each core of the processor and execute it in parallel. The present invention proposes a fuel cell system parameter self-learning control method that combines real-time updates of the model and controller, improves the operating condition adaptability range of the fuel cell system, and improves the model and control accuracy of the fuel cell system; the present invention uses a multi-core controller to implement a task parallel method, which reduces the program running time and can improve the real-time performance of the control.

A joint structure for the main structure and the roof of the connecting corridor includes a joint insulation layer and symmetrically arranged upper and lower sealing structures. The sealing structures, from the inside out, consist of an arc-shaped plate, an elastic joint connecting plate, an installation plate, and an outer decorative panel. The arc-shaped groove design of the arc-shaped plate can absorb multi-dimensional displacement. The elastic joint connecting plate is slidably connected to the expansion joint guard via a retaining strip, achieving dynamic deformation adaptation. The joint insulation layer fills the joint gaps, forming multiple waterproof barriers in conjunction with sealing rods, sealant, and a double-layer waterproof structure. The installation plate and the outer decorative panel are connected by bolts and fasteners, enabling modular, rapid installation and easy disassembly and maintenance. This invention, through a flexible deformation mechanism and integrated waterproof design, significantly improves the durability, construction efficiency, and maintenance convenience of the joint, making it suitable for complex conditions involving large-span connecting corridors and main structures.

The utility model relates to a movable operation section environment control device applied to a shipyard large space, which comprises exhaust equipment, air supply equipment, a pipeline system and a real-time operation environment control system, the exhaust equipment comprises VOCs treatment equipment, sand blasting dust treatment equipment and a paint mist filter, the air supply equipment comprises an air handling unit and a dehumidification unit, and the pipeline system comprises a pipeline system and a real-time operation environment control system. The pipeline system comprises an exhaust pipeline connected with the exhaust equipment and an air supply pipeline connected with the air supply equipment, the real-time operation environment control system comprises a plurality of valves, a combustible gas detector, a temperature and humidity monitoring instrument and an electric control system, and the valves are arranged on the exhaust pipeline and the air supply pipeline; and the combustible gas detector, the exhaust equipment and the air supply equipment are all connected with the electric control system. According to the movable operation section environment control device, continuous monitoring and real-time response can be achieved, production benefits are improved, the coordination problem of the technologies such as application, coating and sand blasting is solved, the transportation cost and energy consumption are reduced, and meanwhile the production period is shortened.

The invention discloses a performance comprehensive evaluation method for a data-driven fault diagnosis algorithm, a medium and equipment, and the method comprises the steps: selecting a key performance parameter as an evaluation index, and constructing a comprehensive evaluation index system; calculating a combination weight by adopting a game theory thought; a fault diagnosis algorithm performance comprehensive evaluation model based on the combination of statistics and a neural network is constructed, an improved Topsis method is combined with a grey correlation analysis method to generate a comprehensive evaluation data set, a BP neural network used for genetic algorithm optimization scores a fault diagnosis algorithm, and quantitative performance evaluation is achieved. According to the method, the one-sidedness problem of single-index evaluation can be solved, the BP neural network model optimized through the genetic algorithm can be effectively used for subsequent algorithm performance evaluation, the defect that a traditional evaluation method is time-consuming and labor-consuming is overcome, and the efficiency is improved.

The present invention provides a remote sensing basic model rapid training method and system based on template editing, which relates to the field of remote sensing image processing technology and is used to solve the technical problem of algorithm integration difficulties in the existing remote sensing basic model training process. The method includes: obtaining a pre-labeled remote sensing sample data set; determining a remote sensing basic model architecture corresponding to the task requirements according to the user's task requirements; editing a corresponding algorithm framework and mirror environment for the remote sensing basic model architecture based on the task requirements; inputting the remote sensing sample data set into the remote sensing basic model architecture, and training the remote sensing basic model architecture using the edited algorithm framework and mirror environment; visually monitoring the progress, parameter changes and performance indicators of the remote sensing basic model architecture during the training process.

The invention belongs to the field of page layout and generative adversarial networks, and discloses a transformer-based page layout generative adversarial network method and a related system, which can automatically generate page layout through training of a TGAN model and reduce the demand of manual intervention. In the traditional design, a designer needs to manually adjust the layout of each element, the TGAN network based on the Transform can automatically generate the layout conforming to the design specification according to the training data, the design efficiency is improved, the Transform model is good at capturing the long-term dependency relationship, the complex structure and the long-distance relationship can be processed, and the design efficiency is improved. This enables it to better understand the relationship between different elements, and to more accurately generate designs that meet logic and aesthetic requirements during automatic layout.

The application discloses an improved predictive control method for an immersed electrode boiler system for power grid frequency modulation service, and comprises the following steps: establishing a transfer function matrix representing dynamic characteristics of the immersed electrode boiler system, converting the transfer function matrix into a state space predictive model, and constructing a predictive controller for controlling the immersed electrode boiler system based on the state space predictive model; constructing a predictive control optimization problem, and performing rolling optimization control on the predictive controller; and iteratively optimizing parameters in the predictive control optimization problem by using a particle swarm optimization algorithm, and configuring optimal parameters obtained through the optimization to the predictive controller. The predictive control method provided by the application releases the dynamic operation optimization space of the immersed electrode boiler, improves power control capability, and supports the unit to better participate in the frequency modulation service under the premise of ensuring safe operation and stable heat supply of the immersed electrode boiler.

The present invention relates to the technical field of reversing valves, and discloses a five-hole servo reversing valve with a differential function, comprising: a main valve body, wherein the main valve body adopts a three-shoulder and five-sunk groove structure; the main valve body is provided with an oil chamber and an oil port; the oil chambers are respectively a first working chamber, a second working chamber, a third working chamber, an oil inlet chamber and an oil return chamber; the oil ports are respectively a third output port opened on the third working chamber; the third working chamber and the third output port are used to realize a differential function; the reversing valve can effectively solve the problem of insufficient liquid replenishment in the rodless chamber of a large-flow servo valve in the prior art during differential locking, through the third working chamber, ensure that the regenerated liquid is effectively utilized, avoid the waste of hydraulic energy, and reduce the energy loss caused by the direct return of the regenerated liquid to the oil tank; the lateral arrangement of the electrical interface simplifies the system integration work, reduces the risk of trampling damage during installation, and reduces the hardware cost and the difficulty of later maintenance.

The invention relates to the technical field of digital service management, in particular to a digital rural construction comprehensive service system based on end-to-end collaboration, which comprises a data acquisition module, a data preprocessing module, a service collaboration module, a decision generation module and a comprehensive service output module, wherein the data acquisition module is used for acquiring original rural data; the data preprocessing module is used for cleaning and feature extraction; the service collaboration module is used for identifying rural construction requirements and coordinating a plurality of servers to generate a collaboration service plan; the decision generation module is used for generating decision support information in combination with a preset rule; and the comprehensive service output module is used for integrating the digital rural construction comprehensive service scheme and outputting the digital rural construction comprehensive service scheme to a user side. According to the invention, through multi-source data collaboration, intelligent decision generation and resource sequential scheduling, accurate identification, reasonable distribution and efficient execution of the rural construction tasks are realized, so that the overall planning capability and execution efficiency of digital rural construction are improved.