88 results about "Balance strategy" patented technology

The invention discloses a method and a device for dynamically distributing cluster services. The method comprises the following steps of: monitoring the loading condition of each node in a cluster; predicting the future loading condition of each node according to the historical monitoring data and current monitoring data of each node; and developing a service distribution scheme for each node in the cluster according to the predicted future loading condition of each node and a preset service balancing strategy, and regulating service distribution for each node in the cluster according to the developed service distribution scheme. By monitoring the load of the nodes and pre-optimizing the service distribution according to the monitored load, the method can balance the load, enhance concurrent services and reduce the probability of down caused by the overload of the nodes.

The invention discloses a load balancing method of a high-speed network. Aiming at the problem of low balancing degree of the traditional load balancing method, the invention provides a load balancing method of a high-speed network, which comprises the steps of: extraction of front information of an IP data packet, Hash operation, queue distribution and storage management, multimodal parallel classification and scheduling. The load balancing method utilizes a dynamic self-adaptive Hash balancing strategy combining static balancing with dynamic self-adaptive balancing to ensure that the current flow load condition can be effectively utilized and a high-speed data stream can be further distributed to a plurality of low-speed network interfaces in a balanced manner, thus, the balance degree among all subchannels is improved.

The embodiment of the invention discloses a memory management method, comprising the following steps: during idle time, checking a grouping information sheet and an erasable count table, judging whether to trigger a consumption balance strategy and if the consumption balance strategy is needed to be triggered, inserting a recycled blank block in an unordered queue; and during data write operation time, obtaining the blank block from the unordered queue and writing data in the obtained blank block. The invention also discloses a hard disk and a memory system. The embodiment of the invention can be used for recycling the blank block with large time-consuming amount in idle time of the system, thereby being favor of saving data write cost.

The invention relates to a peak adjusting method of the electrical network by taking external power reception into consideration. The method comprises the following step that 1) the internal power structure and the external power reception manner of the electrical network whose peak is to be adjusted are obtained; 2) the power load of the electrical network within the peak adjusting period is predicted according to historical load information of the electrical network; and 3) a balanced peak adjusting strategy is made by considering the internal power structure, the external power reception manner as well as the power load state in the peak adjusting period, and internal and external power supplies are combined to adjust the peak. Compared with the prior art, the method has the advantages including that the peak adjusting effect is good.

The invention discloses an imbalance fault determining and balancing method for a battery pack, and the method comprises two steps: fault determining and balancing strategy. The step of fault determining comprises the steps: setting a work current direction of a battery, setting a judgment node K, a voltage characteristic parameter P, a deviation standard value Pm and a fault threshold value V, and carrying out calculation and comparison according to the fault data of voltage difference between two different working current directions of a cell, so as to classify the imbalance faults of the battery. Corresponding balancing measures are employed at the balancing strategy step according to different fault types. The method can effectively determine the type of an imbalance fault of the battery pack, employs a targeted balancing measure, improves the power performance of the battery pack, and prolongs the service life of the battery pack.

The invention discloses a load balance resource optimization method under a safety perceptive cloud radio access network. The method comprises the steps of collecting resource information allocated by a system; obtaining a convex optimization problem by use of regional balance and transmission balance strategies; optimizing a power under load balance condition by use of a self-adaption dynamic particle swarm optimization when a load balance threshold value is exceeded; initializing the parameters of the dynamic particle swarm optimization, initializing particle swarm space, and initializing a population; calculating the fitness of each unit in the population according to a fitness function; updating the optimum position of the current unit and the optimum position of the population according to a particle swarm optimization formula; obtaining the position and speed of each particle after displacement; carrying out intersection and variation on knowledge space; judging iteration convergence indexes; outputting optimum units if convergence occurs; and repeating the steps until the preset iteration times is finished if the convergence does not occur. The method is the load balance and power optimization method under safety perception through an optimization algorithm without changing network architecture under the condition that the system loads are imbalanced.

The invention relates to a regional power load balancing method. The regional power load balancing method comprises the following steps of: obtaining the actual available power of an electric vehiclecharging station; acquiring the real-time charging power and a power load balancing strategy of the electric vehicle charging station; determining whether the actual available power of the electric vehicle charging station is larger than or equal to the real-time charging power or not, if yes, performing charging according to the opening number and the charging power of the current charging piles,or else, calculating the opening number of the charging piles and the charging power limiting values of the opening charging piles according to the power load balancing strategy; and issuing a dispatching command to the electric vehicle charging station according to the opening number of the charging piles and the charging power limiting values of the opening charging piles obtained through calculation to dispatch the opening number of the charging piles and the charging power of the opening charging piles to achieve the real-time control for the total charging power of the electric vehicle charging station so as to preferentially ensure the normal electricity consumption of resident users.

The invention discloses wireless sensor network cluster construction and a cluster head updating method, belongs to the field of a wireless sensor network, and solves the problem of low stability of an existing wireless sensor network cluster structure. A construction method disclosed by the invention completes multi-layer cluster construction of the whole network from near to far by taking an aggregation node as a starting point, and particularly comprises the steps of: by taking the aggregation node as the center, partitioning sensor nodes in a wireless communication radius of the sensor nodes into a zeroth layer of cluster network, and then carrying out construction of a first layer of cluster network by using a node energy-saving equilibrium strategy; and then electing a node with the maximum cluster head capacity value from member nodes a previous layer of network cluster as a cluster head of a next layer of cluster network, constructing the next layer of cluster network, and sequentially carrying out iteration to construct a second layer and other layers of cluster networks. The layered cluster structure constructed by the wireless sensor network cluster construction disclosed by the invention has the characteristics of high stability and distributed demand-based cluster updating, and the defect of high cluster maintenance cost caused by periodic whole network cluster updating of a conventional method is overcome.

The invention provides a traffic balance and energy-saving control method, a realizing method and a realizing device. The traffic balance and energy-saving control method comprises the following steps that: a wireless network controller receives traffic load information and configuration information reported by a base station, obtains a corresponding traffic balance strategy scheme and an energy-saving control scheme through calculation according to the traffic load information and the configuration information, and issues corresponding traffic information and control instructions to the base station according to the traffic balance strategy scheme and the energy-saving control scheme; and the base station receives the traffic information issued thereto from the wireless network controller, switches on/off a cell cutoff function according to the received control instructions, and/or switches on/off a BCCH (Broadcast Control Channel) carrier-frequency priority distribution function. According to the traffic balance and energy-saving control method, the realizing method and the realizing device provided by the invention, the traffic balance control and the energy-saving strategy adjustment can be dynamically carried out according to the traffic load information reported by the base station, so that the purposes of reducing resource waste and lowering base station power consumption are realized.

The invention provides a hybrid particle swarm tabu search algorithm for solving a job-shop scheduling problem. Compared with other meta-heuristic algorithms, the algorithm has the characteristic of ''elite memory'' according to a PSO and has the characteristic of fast convergence, the PSO is taken as an initial solution source of TSAB tabu search, and an encoding and decoding mechanism for mapping a particle swarm continuous solution space into a discrete space of the job-shop scheduling problem is designed. A real number solution of the PSO is converted into an integer solution of the tabu search algorithm through a real integer encoding method and the integer solution of the tabu search algorithm is converted into the real number solution of the PSO through a real integer decoding method after one-time iteration; and a chance of accurate search is made in a potential space to own more exploration in a global search space. An improved PSO with a balancing strategy is provided, and a balance operator beta is introduced. The performance of the algorithm is greatly strengthened through these improvements and the actual job-shop scheduling condition is combined. The algorithm is high in practicability and good in usability.

The invention relates to a flexible comprehensive scheduling method considering double targets of cost and time. The flexible comprehensive scheduling is defined as that for a complicated single product with tree structure features in a processing technology diagram, a procedure node can be processed at a or a plurality of equipment in equipment resources, wherein the processing time and the cost can be different. The existing flexible comprehensive scheduling method only considers the single target of product completing time, so the production cost of the product is too high under multiple conditions. The flexible comprehensive scheduling method comprises the following steps of adopting a layering double-target optimizing model; only considering the time in a first layer, namely shortening of the product completing time; only considering the cost in a second layer, namely reducing of total processing cost; adopting a cask concept of a wood bucket principle to realize the target of the second layer of the flexible comprehensive scheduling. The layering double-target optimizing model comprises the following steps of initializing the attribute data of all procedure nodes in the comprehensive scheduling task, and sequencing the procedure nodes; distributing the equipment at the procedure nodes. The flexible comprehensive scheduling method is used for the flexible comprehensive scheduling considering the double targets of cost and time.

The invention discloses a battery management system and method. The battery management system comprises three layers of management structures, namely a BAMS, an MBMS and a BMU, wherein the BAMS battery pile management system is used for collecting subordinate MBMS information, and is connected with a PCS energy storage converter through a communication protocol; the MBMS monitoring management system is used as a middle management layer of the battery management system, and one end of the MBMS monitoring management system is connected with the BAMS battery pile management system through a CAN bus, and the other end is used for managing a plurality of BMU battery management units through the CAN bus; and the BMU battery management unit is used for monitoring the voltage and temperature of the single batteries, and is a minimum composition unit. According to the voltage balancing method of the battery management system, the battery voltages in the battery pack tend to be consistent through the discharging balancing method. According to the system and the method, the adopted voltage balance strategy is simple in configuration, so that the fault rate is relatively low and the maintenance is convenient.

The invention provides a voltage modulation method for the access of a weak current AC power grid, and the method comprises the steps: enabling an MMC valve controller to obtain an AC voltage reference value uref from an electrode controller; calculating and obtaining the capacitor voltage mean values UC_avg_p and UC_avg_n of the upper and lower bridge arms of the MMC valve controller; calculatingand obtaining the number of submodules, put into use, of the upper and lower bridge arms; and determining the switching states of the submodules according to a capacitor voltage balancing strategy. The method improves the obtaining method of the number of submodules, put into use, of the upper and lower bridge arms, and enables the AC voltage outputted by the MMC to be higher in stability duringDC voltage fluctuation.

The invention provides a balancing rudder deflection angle determining method applicable to a reentry vehicle with multiple rudder surfaces. The method comprises the following steps: converting a reentry vehicle balancing rudder deflection angle calculation problem into a nonlinear equation solving problem based on a pneumatic database; establishing a nonlinear equation related to a virtual rudder deflection angle of the reentry vehicle based on a reentry vehicle control channel equivalent virtual rudder deflection angle concept; performing Taylor expansion approximation to obtain a linear equation set for balancing calculation; finally realizing calculation on the balancing rudder deflection angle of the reentry vehicle with multiple rudder surfaces by virtue of a discrete Newton iteration algorithm and a graded balancing strategy. According to the method, a rudder surface function combination method and a graded balancing strategy are applied, so that the method is applicable to the balancing calculation for multiple channels of the reentry vehicle with multiple rudder surfaces, and rudder surface cross-linked coupling influence can be considered. The method is a rapid, high-precise and universal calculation method which is applicable to balancing of multiple channels and is designed for the reentry vehicle with multiple rudder surfaces, and also can be applied to a common airplane and a conventional aircraft.

The invention discloses a task scheduling method based on micro-cloud load balancing in a wireless metropolitan area network. According to the method, how to unload tasks and dispatch the tasks to reasonable micro-clouds is considered, so that a system delay is shortened. For solving the problem of optimization of response time of the micro-cloud tasks in a wireless metropolitan area network environment, an algorithm thought of micro-cloud load balancing is introduced, and a micro-cloud load balancing strategy is provided, thereby shortening average response time of the micro-cloud tasks as much as possible under the condition of meeting multiple constraints in the network. According to the strategy, unique characteristics of the wireless metropolitan area network and micro-cloud task unloading are fully considered; and firstly, the micro-clouds of the network are classified, then expected values of input/output task quantities of the micro-clouds are calculated, and finally minimum-cost maximum flow meeting the constraints is found in a flow network so as to execute all the tasks in the network. The method has positive effects in shortening user task response time and improving user experience.

The invention discloses a vehicle-mounted passive wireless sensor network ad hoc network method and device, wherein, the method comprises the following steps: acquiring neighboring node information ofeach node in the vehicle-mounted passive wireless sensor network, and establishing a neighboring node list; obtaining the energy information of the superior node according to the neighbor node list to determine the optimal superior node, broadcasting the address of the relay node of each node; after transmitting data in the first preset time slot at each transmitting node according to the relay node address of each node, receiving data by each relay node in the second preset time slot to complete data transmission. Based on the time slot allocation strategy of TSCH synchronous time slot frequency hopping technology, this method solves the packet loss problem of long-distance multi-hop transmission, and designs the energy consumption balance strategy based on the energy prediction model, which improves the overall energy utilization.

The invention discloses a method and device for the flow balance of an aggregation port, the aggregation port and network equipment. The method comprises the steps of: selecting a flow balance policy in which the flow difference among member ports in a unit time is minimum as the flow balance policy used by the aggregation port; in the unit time, periodically judging whether the flow difference among the member ports is increased and the change amplitude exceeds a set range or not when the aggregation port uses the selected flow balance policy; if the flow difference among the member ports is increased and the change amplitude exceeds the set range, re-determining the flow balance policy in which the flow difference among the member ports in the unit time is the minimum as the flow balance policy currently used by the aggregation port; or else, remaining the current flow balance policy of the aggregation port unchanged. Through the invention, the configuration of the optimal flow balance policy can be automatically realized; when the flow difference among the member ports changes, the flow balance policy is adjusted in real time to obtain the optimal flow balance policy after the flow changes and ensure that the flow balance policy can play a real role in the flow balance along with the flow change of the aggregation port.

The invention discloses a multi-antenna diversity receiving method and device based on time inversion. The method comprises the following steps of: firstly, carrying out down-conversion treatment on radio frequency signals received by antennas respectively to obtain multiple unrelated compound baseband signals; next, carrying out channel evaluation respectively according to the obtained compound baseband signals to obtain independent transmission channel parameters of receiving antennas; then, working out time inversion conjugate formulae of channels according to the evaluated channel parameters; and then, carrying out convolution operation on the compound baseband signals received by the antennas and the time inversion conjugate formulae of corresponding transmission channels respectively; finally, processing the convolution result by an equal gain combination method to obtain a final multi-antenna diversity result. According to the method and device disclosed by the invention, the signal-to-noise ratio of the received signal can be increased, combination and balance strategies are simplified, and the performance of the wireless communication system is improved.