17 results about "Load redistribution" patented technology

The invention provides a method for controlling the precision of an inner molded surface of a cast-in-place slab hung below a net rack, and belongs to the technical field of wind tunnel construction.The method comprises the steps that a C-shaped clamping piece and a sensor system are installed on a net rack lower chord, a monitoring network is established, fatigue characteristic data are analyzed through a minimum cut algorithm, and a load imbalance coefficient is calculated; a high-precision adjustable suspender and a prestress adjusting device are installed to construct a dynamic supporting system, a three-level precision compensation mechanism is established to achieve preventive compensation before construction, real-time monitoring compensation in the construction process and corrective compensation after pouring is completed, and multi-target collaborative optimization is achieved through a dynamic adjusting algorithm and a game optimization model. A complete technical system including fatigue point prediction, load redistribution and precision real-time control is formed, and the technical problem that in the construction process of hanging the cast-in-place slab under the net rack, the plane precision control lacks a systematic dynamic adjustment mechanism is solved.

The present application belongs to the technical field of high formwork monitoring, and relates to a real-time monitoring and early warning system for construction risks of high formwork of house building. First, a frame structure topology model containing pole number, spatial coordinates and connection relationship is established, and the poles with defects such as base void, base half contact, eccentric force of support or support point contact are marked in the initial stage of concrete pouring, the poles carrying initial bearing state labels are constructed, and the load sensitivity and stiffness degradation of each pole are continuously monitored. After being bound with the initial bearing state label, the bearing state evolution track of the pole is generated. Then, the load redistribution path caused by the bearing capacity failure of the initial defect pole is identified, the instantaneous overload degree of the healthy pole on the path is analyzed to evaluate whether there is a group pole imbalance risk, and finally, the preset multi-level early warning rule is matched to output a risk analysis report. The present application effectively overcomes the monitoring blind area of only focusing on the response after force in the prior art, and improves the accuracy of the early warning of the construction risks of high formwork.

The invention discloses a cascading fault defense and self-healing optimization method for an air-space-ground integrated network. According to the method, aiming at the problem that cascading faults are easily caused by node heterogeneous coupling and topology dynamic change of the space-air-ground integrated network, a multi-factor coupled cascading fault propagation dynamic model is firstly established, and the synergistic effect of node heterogeneity, link dynamics and load redistribution is quantified; then, a closed-loop cooperative defense system integrating early warning, isolation and self-healing is designed, intelligent decision making is conducted through machine learning, reinforcement learning and the game theory, and the real-time performance and the energy efficiency performance on resource-limited edge nodes are ensured through a lightweight algorithm; and finally, an NS-3 and MATLAB joint simulation platform is constructed, and the model and the strategy are verified in various application scenes of the Internet of Things. Experimental results show that the prediction error of the propagation model provided by the invention is controlled within 10%, the failure recovery rate is improved to 85-90% through a defense strategy, the communication interruption duration is reduced by more than 60%, the resource overhead is reduced by 20-25%, and theoretical support and technical guarantee are provided for stable operation of the space-air-ground integrated network in a safe and tough key environment.

This invention designs an IES attack detection method based on non-invasive heat load detection modeling, belonging to the field of integrated energy technology. Addressing the thermal inertia of the heating network in an integrated electric-thermal energy system, a load redistribution attack model is constructed. Based on this, a non-invasive detection model is used to establish dual models on the load side: a radiator model and a building storage heat dissipation model, to detect amplified attack deviations in the room temperature state matrix. State prediction is performed using a sliding window method for state matrix similarity matching, replacing the attacked and contaminated state matrix with the predicted state matrix. The MILP method is used to enable rapid load recovery after an attack on the integrated electric-thermal energy system. This invention's detection method is fast and effective, enabling online detection, and has a certain theoretical basis and practical engineering significance.

The application discloses a load balancing distribution control method and system in parallel operation of multiple energy main machines, relates to the technical field of load distribution, and comprises the following steps: collecting real-time operation parameter sets of each energy main machine in the system; calculating real-time health degree coefficients of each energy main machine; solving energy efficiency deviation degrees of each energy main machine under current load demand, and constructing a load redistribution optimization function; solving the load redistribution optimization function, dynamically generating and issuing individualized load setting instructions of each energy main machine; monitoring overall energy efficiency improvement rates of the system and operation stability indexes of each energy main machine, and dynamically backtracking and adjusting parameter weights of the main machine health degree attenuation model according to the overall energy efficiency improvement rates and the operation stability indexes. The technical problem that the existing load distribution method ignores the service life and maintenance state of the main machine, resulting in overall performance attenuation, is solved.

The invention provides a power system resonance suppression method and device, equipment and a storage medium, and relates to the technical field of power quality analysis and control. The method comprises the following steps: acquiring electrical signals of a plurality of nodes in a power system, and identifying a source node which generates harmonic resonance currently and a corresponding resonant frequency based on the electrical signals; a load redistribution scheme is generated with the aim of destroying the resonance condition of the source node, the scheme is used for transferring at least one load under the source node to other nodes so as to change the system impedance of the source node, and the system impedance is equal to the parallel equivalent value of the impedance of all the loads under the source node; a load redistribution scheme is performed to suppress harmonic resonance. Resonance suppression can be realized only by optimizing the existing network load distribution, the system transformation cost is remarkably reduced, the additional operation loss is reduced, the instability risk is controlled, meanwhile, the advantages of rapid response, high adaptability and the like are achieved, and effective technical support is provided for constructing a safe and flexible novel power system.

The application discloses a kind of based on multilayer network cascading failure multimodal transport network resilience evaluation method, belong to multimodal transport network operation and resilience evaluation technical field.First, according to multimodal transport network multilayer structure and freight flow transfer characteristics, ML-space method is used to construct highway and water weighted undirected multilayer network model;On this basis, fusion network topology and freight attribute double perspective, calculate node multilayer centrality and freight level to determine node importance, combined with the heterogeneity of subnetwork to build load-capacity cascading failure model containing initial load, node capacity and differential load redistribution strategy;Then based on the resilience triangle theory, build the whole stage resilience evaluation system covering resistance, absorption capacity and recovery capacity, through MATLAB software numerical simulation, compare the network resilience under different cascading failure and recovery strategy, reveal the influence law of node capacity coefficient on resilience.The application starts from the actual operation scene of multimodal transport network, considers multilayer characteristics and cascading failure propagation law, proposes the precise evaluation method of multimodal transport network resilience under cascading failure scenario, provides scientific reference for the planning construction, risk prevention and control and resilience improvement of multimodal transport network.

The invention discloses an elastic load balancing and tuning method and system, and belongs to the technical field of communication, and the method comprises the steps: determining the load difference of an edge server and the total time delay of a terminal task through constructing a terminal equipment-edge server two-layer system model; constructing an optimization function and setting a constraint condition by taking minimization of the weighted sum of the two as a target; and finally, solving through a two-stage bionic algorithm, training a plurality of initial deep neural networks by means of a multi-group intelligent algorithm, optimizing through a genetic algorithm to obtain an optimal model, and inputting current scene parameters to obtain a final equalization strategy. According to the method, the problem of rapid load redistribution in an abnormal scene is solved, the search efficiency and the generalization ability are considered, the system efficiency and the load balance degree are improved, the energy consumption is reduced, overload or idling of the server is avoided, and the performance is superior to that of a traditional algorithm.

This invention relates to the field of new energy vehicle technology and proposes a remote control method for intelligent charging piles. The method includes: deploying an edge intelligent acquisition terminal between the charging pile and the charging gun port to synchronously acquire high-frequency electrical timing signals in the charging circuit and environmental physical quantity signals corresponding to the charging pile; using the high-frequency electrical timing signals and environmental physical quantity signals, generating an edge event trigger vector for the charging pile to set the adaptive control action corresponding to the charging pile at the current moment; when the adaptive control action is a preset high-priority control action, the cloud control platform determines the load redistribution coefficient of each charging pile within the charging group, and based on the load redistribution coefficient, generates differentiated power adjustment commands for each charging pile within the charging group to execute remote control of the charging pile. This invention enables real-time matching between remote control commands for charging piles and dynamic operating conditions at the charging site.

This invention relates to a method for optimizing and evaluating the reliability of a two-unit co-load system. Based on the Weibull distribution of lifetime, the failure distribution function is obtained for any load-bearing unit. The average lifetime function of the load-bearing unit is obtained based on the description of the scale parameters of the load-bearing unit and the load size in the failure distribution function using an inverse power-law model. Based on the average lifetime function, the allocation weight is calculated with the goal of making the average lifetimes of the first and second load-bearing units equal. Based on the allocation weight, the load is redistributed between the first and second load-bearing units, thereby improving the lifetime and reliability of the co-load system after load redistribution. The entire co-load system is optimized, and the method is simple to calculate, easy to implement, and convenient for engineers to master and use.

The application relates to the technical field of cloud computing resources, and discloses a resource management method and system for green cloud computing and a storage medium. The method comprises the following steps: performing weight optimization on CPU and memory data through a coyote optimization algorithm to obtain a server energy consumption coefficient matrix; using a DDQN decision to allocate the CPU of a virtual machine based on the matrix to obtain a resource allocation parameter table; adjusting the storage location of a data backup copy to obtain a backup node configuration table; monitoring the PUE values of servers to obtain a list of servers with excessive power consumption; and using a particle swarm algorithm to calculate a virtual machine migration path to obtain a load redistribution table. The application solves the problems of inaccurate energy consumption prediction, lack of intelligent scheduling strategy, separation of backup storage and main task scheduling, and low efficiency of abnormal power consumption processing in the existing cloud computing resource management, and improves the energy utilization efficiency of the cloud computing environment and the intelligent level of resource scheduling.

This invention discloses a load balancing scheduling optimization method for multi-motor cooperative drive, relating to the field of multi-motor cooperative control technology. The invention includes the following steps: Step S1, initialization of multi-motor drive system parameters and dynamic load perception; Step S2, forward static load balancing allocation based on an improved equal-increase rate method; Step S3, verification of multi-motor dynamic response constraints and identification of infeasible periods; Step S4, dynamic margin release and load redistribution through finite-depth backward backtracking; Step S5, multi-motor cooperative execution and real-time data feedback; Step S6, iterative optimization and adaptive parameter update. This invention constructs a scheduling framework of "forward calculation - dynamic verification - backward correction - closed-loop iteration," balancing load balancing, dynamic feasibility, and operational economy, significantly reducing the number of dynamic response failures and improving the stability of multi-motor cooperative drive systems. It is applicable to multi-motor cooperative scenarios such as industrial robots and new energy vehicle drives.

The application provides a control method for improving wedge precision by rolling load redistribution in a short process hot rolling, comprising: adopting a constant pressure reduction mode to perform rolling mill load distribution; limiting F1 and F2 rack pressure reduction rates to fixed values, and calculating F3-F7 rack pressure reduction rates according to the fixed pressure reduction rates of F1 and F2 racks in a secondary control system; performing rolling load redistribution; after plate passing, the difference between actual rolling load of the last rack and set load is compared, when the deviation between actual rolling force and set rolling force reaches the minimum force difference effective proportion, part of the load is distributed to the front stage rack; and performing short stroke control of rolling mill guide plate opening; for F2-F7 racks, the head short stroke opening, the middle short stroke opening and the tail short stroke opening are set. The application solves the technical problem of low wedge precision in two-phase zone rolling in a short process hot rolling, improves the stability and continuity of two-phase zone rolling in the short process hot rolling, ensures the smooth production, and realizes the improvement of wedge precision in two-phase zone rolling in the short process.

A method of operating a washing machine appliance may include directing a spin cycle of the washing machine appliance. The method may include identifying an out-of-balance condition during the spin cycle. The method may include suspending the spin cycle in response to identifying the out-of-balance condition during the spin cycle. The method may include providing a redistribution notification at a user interface following suspending the spin cycle. The redistribution notification may indicate a potential load redistribution procedure.

The application discloses a kind of composite material mixed connection performance modularization quick prediction method, comprising the following steps: S1. the circuit model of composite material connecting structure is constructed, and the circuit model is established based on the mechanical equivalent principle of spring stiffness method;S2. the displacement response signal and load information of connecting structure under the action of load are acquired by simulating composite material connecting structure using the circuit model;S3. based on the displacement response signal, whether the structure is damaged and damage type is judged in combination with corresponding damage criterion;S4. the circuit model is adjusted according to the judgment result;S5. based on the circuit model after adjustment, the complete load-displacement curve of the composite material connecting structure is output in combination with the load information predicted.The application can efficiently predict the nonlinear mechanical response of bolt connection, glue joint connection and glue screw mixed connection structure before damage occurs, and accurately simulate the whole process behavior of stiffness degradation and load redistribution after damage occurs.

The invention discloses a load balanced distribution control method and system in parallel operation of multiple energy hosts, and relates to the technical field of load distribution, and the method comprises the steps: collecting a real-time operation parameter set of each energy host in a parallel system; calculating a real-time health degree coefficient of each energy host; solving the energy efficiency deviation degree of each energy host under the current load demand, and constructing a load redistribution optimization function; solving the load redistribution optimization function, and dynamically generating and issuing a personalized load setting instruction to each energy host; and monitoring the overall energy efficiency improvement rate of the parallel system and the operation stability index of each energy host, and dynamically backtracking and adjusting the parameter weight of the host health degree attenuation model according to the overall energy efficiency improvement rate and the operation stability index. The technical problem that an existing load distribution method ignores the age limit and the maintenance state of a host, and consequently the overall performance is degraded is solved.

The invention discloses a permanent magnet motor cluster management method and device, and the method comprises the steps: predicting a future thermodynamic diagram based on a historical cluster state frame sequence, and precisely capturing the temperature evolution trend of each motor; then combining a potential overheating area disclosed by the prediction thermodynamic diagram with a real-time state, and intelligently triggering an optimization mechanism; and finally, in a digital twin environment, by taking a current state as a starting point and a future heat source load as a constraint, cooperatively simulating a ventilation wall heat dissipation effect and a load redistribution strategy, generating a motor operation plan considering overall performance and local heat safety, and issuing a control instruction in real time. In this way, the limitation of traditional single-dimension optimization is broken through, and continuous, efficient, stable and long-life operation of the cluster under the complex dynamic working condition is ensured through fusion of data-driven prediction and physical model simulation.