11results about How to "Solve the load problem" patented technology

This invention discloses a multi-robot task scheduling method and apparatus for wind turbine blades based on a multi-level Stackelberg game model, relating to the field of wind turbine blade manufacturing technology. The method includes: constructing a Stackelberg game framework, assigning roles according to process dominance, with the edge-cutting robot as the first-level leader, the grinding robot as the second-level leader, and the roller-coating robot as the follower; the edge-cutting robot formulates an initial scheduling strategy based on an auction mechanism, and the grinding robot optimizes the strategy through a same-level auction, the combination of these two strategies forming the first-level game; the roller-coating robot determines the optimal solution based on the combined strategy of the first two, forming a second-level game with the grinding robot; a multi-level Stackelberg game model is established based on work efficiency, energy consumption, load balance, and conflict penalty terms; the game equilibrium is solved using backward induction, finally obtaining the optimal scheduling scheme for each robot. Using this invention can improve the overall work efficiency of wind turbine blade post-processing.

The present application provides a sunlight-resistant colored electrochemical energy storage fabric based on recycled cotton powder and a preparation method thereof, belonging to the technical fields of flexible electronic textiles and electrochemical energy storage. The preparation method first deposits a TiO2 film on the recycled cotton powder by ALD technology, and then performs mild hydrothermal synthesis to obtain a TMOs@TiO2@CP composite powder with a three-layer nested structure. Among them, the TiO2 film protects the internal recycled cotton powder from erosion during the hydrothermal reaction and is tightly combined with the TMOs functional layer through Ti-O-TM covalent bonds, improving the structural stability and interfacial bonding force of the composite powder. The present application uses the inherent color characteristics of different transition metal oxides to replace traditional black carbon-based materials, endowing the energy storage fabric with rich color choices and meeting the aesthetic and design requirements of high-end textiles. The process route of the present application avoids the damage to the inherent flexibility and structure of cotton fabrics by drastic means such as high-temperature carbonization.

This invention discloses a method for identifying the operating conditions of a pumping unit based on orthogonal depth hashing and graph reasoning, comprising: (1) acquiring, labeling, classifying, and training an orthogonal depth hashing network; (2) using the trained orthogonal depth hashing network to extract features from each dynamometer in the sample set, generating and saving bit-independent binary hash codes; (3) constructing an inverted index library based on the hash codes of different sample graphs, storing the storage node information of different sample graphs in the corresponding hash buckets; (4) acquiring the load and displacement data collected by the dynamometer of the pumping well to be detected, and drawing the dynamometer; (5) performing pumping condition fusion reasoning judgment based on a graph convolutional network with dual sorting. The binary hash codes generated by this invention are mutually uncorrelated in each dimension, maximizing the information entropy of the encoding. This ensures the uniform distribution of massive samples in Hamming space, significantly improving the recall rate and retrieval speed in the coarse screening stage.

The application provides a kind of adaptive soft start control method and system based on load prediction, before the start of belt conveyor, the initial load weight value on belt conveyor is obtained;Obtain the initial soft start parameter set corresponding to the load interval where the initial load weight value is located, the initial soft start parameter set includes start time, start curve slope and torque limit value;In response to the input of initial soft start parameter set, start the motor of belt conveyor;Within the first preset time period after the start of belt conveyor, real-time collection of actual load weight value and motor current value in operation;Based on the actual load weight value, obtain the fluctuation range of motor current value;Based on the relationship between the collected motor current value and the fluctuation range, correct the initial soft start parameter set;Real-time feedback of the corrected parameters to motor controller;The application effectively prevents belt slip, belt breakage and other faults, prolongs the service life of the equipment, improves the operation efficiency and safety of the whole conveying system.

The application relates to the computer technical field and is particularly applied to a motion control scene in an artificial intelligence system in a production field. A simulation machine actuating cylinder motor power regulation method and system, an electronic device and a storage medium are disclosed, which comprise the following steps: setting basic parameters and establishing a multi-dimensional sensor error correction model; collecting and calibrating multi-source data such as motors, cockpit attitudes, loads, environments and abnormal sounds in real time; calculating real-time power requirements and power adaptation degrees based on a coupling model of operating actions, loads and power; fusing a tensor self-encoder and a gradient boosting tree to perform power deficiency risk prediction and abnormal sound grading early warning; adopting a multi-modal power regulation mechanism according to the prediction and determination results to implement temperature rise, overload and frequent regulation protection; collecting data after regulation to close loop correct the model and perform incremental updating. The scheme suppresses abnormal sound, improves power matching and system stability, and supports rapid adaptation of different types of simulators.

The utility model discloses a Y axis structure of spraying machine relates to spraying machine technical field, aims at solving the technical problem of the Y axis stroke length deficiency of current spraying machine, including installation box and the first moving part of sliding installation in installation box and the second moving part of setting in the first moving part, the first moving part is the box body structure setting, the second moving part sliding installation is in the first moving part, the lower extreme and the side end of first moving part and second moving part all are provided with track strip, the track strip is located in the track groove, the second moving part is by two rectangular section steel welding constitutes, the outside of rectangular section steel is provided with the bending section steel. The utility model has the advantages of satisfying the complex mould demand's advantage such as through adopting the nested sliding design, the first, second moving part superposition extension stroke, cooperation second moving part cross section structure design, weight reduction while guaranteeing the strength, guaranteeing the stability of extension stroke, reducing the deformation, improving the efficiency, double limit ensures the movement precision.

The invention provides a model training scheduling strategy generation method, a model is divided into a plurality of stages according to layers, each stage is deployed on different computing equipment, and training data flows through each stage in a micro-batch form. According to the method, firstly, configuration parameters of model training are obtained, and the model training is executed by adopting a pipeline parallel 1F1B strategy; and secondly, performing video memory occupation prediction of the computing equipment according to the configuration parameters. And under the condition that the video memory occupation prediction result exceeds a video memory preset threshold value, modeling is performed on pipeline parallelism. Modeling comprises the step of establishing a microbatch dependency constraint, a video memory window constraint and an activation value transfer number constraint of pipeline parallelism. And finally, generating a new scheduling strategy based on modeling solution. According to the scheme, the problems of load imbalance and key path extension in an assembly line can be solved by combining a global scheduling perspective and an inter-stage coordination mechanism, and the efficiency of an assembly line system is improved.

The application relates to a vehicle battery health state estimation method and a training method of an estimation model thereof, wherein the training method of the vehicle battery health state estimation model comprises the following steps: obtaining battery data of a vehicle; wherein the battery data comprises first battery data and second battery data; adopting a preset clustering algorithm to cluster the first battery data, so as to divide the first battery data into multiple categories; dividing the vehicle into multiple vehicle groups according to the multiple categories of the first battery data; for each vehicle group in the multiple vehicle groups, training a battery estimation model corresponding to the vehicle group by using the second battery data corresponding to the vehicle group; obtaining the trained battery estimation model of each vehicle group; and the battery estimation model is used for estimating the vehicle battery health state in the corresponding vehicle group. Through the application, the problem that a corresponding battery estimation model is separately configured for each electric vehicle in the related art, which easily causes the problems of excessive system running load and resource waste, is solved.

The application discloses a flexible actuator based on gas-liquid phase change and a haptic feedback interactive device, comprising: a phase change material layer for feeding back normal pressure in a haptic interactive process according to liquid-gas phase change and feeding back temperature in the haptic interactive process through Joule heat; a thermoelectric material silica gel layer for actively managing heat according to Peltier effect, cooling the phase change material layer and realizing dynamic and bidirectional adjustment of normal pressure and output temperature; a composite high-efficiency heat sink layer for bottom heat dissipation to guarantee thermal stability of the actuator in high-frequency cyclic operation; the phase change material layer, the thermoelectric material silica gel layer and the composite high-efficiency heat sink layer are alternately arranged from top to bottom to form an array type pump-free thermoelectric-phase change integrated actuator; through the electric-heat-phase change integrated coupling mechanism and the ingenious multifunctional array structure design, the application solves the contradiction between load and speed, realizes decoupling output and high-fidelity playback of the normal pressure and temperature multi-modal haptic signals.

The invention relates to the technical field of block chains, in particular to a secure smart power grid communication method and system based on a block chain. The method comprises the following steps: firstly, providing a dynamic updating algorithm which is used for efficiently processing addition and deletion changes of power grid nodes and optimizing selection and communication paths of nodes in partitions; secondly, the invention provides a dynamic load balancing intelligent contract method and a multi-level state channel method, so that efficient communication and dynamic adjustment between nodes of the same partition and nodes of the cross-partition are realized, and the stability of the network under different load conditions is guaranteed; finally, the invention provides a privacy protection multi-party calculation method of an encrypted vector space, so that privacy security in power grid transaction and data processing is ensured, and security calculation and verification of multi-party data are realized on the premise of not leaking privacy.

The invention discloses a load-balanced heterogeneous satellite resource dynamic allocation method, and the method comprises the steps: carrying out the comprehensive judgment of a heterogeneous satellite network resource load condition according to a network load balance degree, a satellite resource utilization rate and a satellite available resource load; carrying out dynamic allocation on differentiated resources of heterogeneous satellites; according to the resource dynamic allocation method based on multi-satellite overlapping coverage, under the condition that a current satellite network is slightly unbalanced, services of satellites in an overlapping coverage area are allocated to other satellites adjacent to the satellites. According to the method, the problems of load balancing measurement and resource allocation under the condition that heterogeneous satellite resources are uneven are solved, the satellite network load balancing performance is optimized, meanwhile, satellite access service interruption is avoided, satellite network service deployment is optimized in advance, and the service blocking risk is reduced.