48results about How to "Improve traversal" patented technology

The invention provides a cooperative air combat firepower distribution method based on an improved multi-target leapfrog algorithm and belongs to the technical field of computer simulation and method optimization. The method comprises the steps that firstly, required data information is obtained through a cooperative air combat formation command and control system; secondly, a multi-target optimization module of cooperative air combat firepower distribution is established; then a multi-target quantum leapfrog algorithm based on a self-adaptive mesh method is carried out, and a Pareto non-inferior solution of firepower distribution problem is solved; finally, rules can be selected independently according to the optimal distribution scheme, and the optimal firepower distribution scheme is selected from the non-inferior solution. The cooperative air combat firepower distribution method based on the improved multi-target leapfrog algorithm has the major functions that weapons on a fighter aircraft on an attack mission are distributed to multiple targets according to the optimal firepower distribution scheme, the formed cooperative air combat is enabled to realize the optimal cooperative attack effect, and the maximum operational effectiveness is obtained.

The invention relates to a network technique, especially an IP address searching method. In order to solve the problem of traversal performance and memory consumption of multi-branch Trie tree, the invention discloses a traversal method of multi-branch Trie tree for increasing traversal performance and reducing memory consumption. The technical scheme is that: when a node is treating, firstly, a treated record last time is compared with the node, if the node has been treated already, then, next node is traversal, if not, the node is treated by processing function; after the node has been treated, the node position information, IP prefix information corresponding to the position, block pointer and IP prefix information of its each level ancestor are recorded. The method provided by the invention has advantages that memory capacitance is reduced, distributing and releasing memory are not needed, other IP prefix information of the level needs not cached, comparison with other IP prefix of the level is not needed and traversal performance is increased. Because of employing preorder traversal method, treating order can be ensured.

The invention discloses a distribution network overcurrent protection method with a distributed power supply, and a fixed value optimization method and system, and belongs to the technical field of distribution network relay protection. When a fault occurs, a data acquisition system acquires a fault current flowing through each inverse time limit overcurrent relay in the distribution network witha distributed power supply; according to the inherent characteristics of the fault current and the inverse time limit overcurrent relay and the selectivity, the sensitivity and reliability requirements of the relay protection, a mathematical model is established, wherein the mathematical model comprises an objective function and a constraint condition; a particle swarm optimization based on crowdsearch is employed to perform particle optimizing of the time setting coefficient and starting current of the inverse time limit overcurrent relays; and according to the optimal particles, the time setting coefficient and starting current of each inverse time limit overcurrent relay are subjected to re-assigning, and faults are cut off in the shortest time. The problem is solved that the relay fixed value is improperly set after the distributed power supply is accessed into the distribution network.

The invention discloses a fast FAT32 disk partition traversal and file searching method and relates to an FAT32 file system and a magnetic disk data search and recovery technology. The method of the invention comprises the steps as follows: raw-disk-reading disk sector data of a root directory and subdirectories to internal storage, and performing directory entry search to all levels of directories: gradually adding 32 bytes in the same directory to perform horizontal search, and performing downward search to the searched subdirectory entry at a start position of the subdirectory, and returning to a search position stored in a parent directory to search by performing upward search after finishing the search of the current subdirectory, and performing traversing to finish the search of each directory entry sub-tree of the root directory in turn, and performing file attribute search, classification and ordered storage to a file directory entry. The method of the invention improves traversal and search speed, and improves overall performance for subsequent file search, read or download. The method of the invention is especially suitable for FAT32 file system partition traversal and file search in an embedded system.

The invention relates to a central air conditioner energy consumption control method based on improved particle swarm optimization. The method includes the following steps that COP curves of differentunits of a central air conditioner are acquired, and energy consumption functions of all the units are obtained through fitting; based on the energy consumption functions of all the units, in combination with an exterior penalty manner, a central air conditioner energy consumption optimization model is established; the central air conditioner energy consumption optimization model is solved through the improved particle swarm optimization, and optimal load distribution rates of all the units are obtained; and load switching of all the units is controlled according to the optimal load distribution rates of all the units, and central air conditioner energy consumption optimization control is completed. Compared with the prior art, by means of the improved particle swarm optimization, the early ergodicity of the particle swarm optimization is improved through a sinusoidal chaotic sequence, particle groups have the mechanism of getting away from local optimal points by adding sinusoidal chaotic disturbance, the inertia weights of particles are adaptively adjusted in the optimization process, the optimization speed can be effectively increased, the optimization precision can be effectively improved, thus, the method is suitable for complex operation working conditions of the central air conditioner, and it is guaranteed that the operation energy consumption of the air conditioner isminimized.

The invention relates to an active power distribution network multi-period dynamic reconstruction method based on improved recursive ordered clustering. The method comprises the following steps of: S1, employing the Euclidean distance to describe the similarity degree of data in a segment, and employing the improved recursive ordered clustering to take the maximum similarity degree in various types of power prediction curve segments as a target for period division; S2, calculating an uncertain power flow by using an affine-linear optimization interval power flow algorithm so as to calculate aninterval value of the network loss, and taking a midpoint of the interval value as a fitness function; S3, according to the determined fitness function, solving the model by adopting an adaptive quantum particle swarm algorithm of a Blot spherical surface to obtain an optimal solution which is a disconnecting switch set corresponding to the optimal network topology; and S4, adjusting the topological structure of the power distribution network by adopting the obtained disconnection switch set. Compared with the prior art, the method has the advantages of quick optimization, safe and economic operation of the power grid and the like.

The invention provides an intelligent setting method for unmanned aerial vehicle attitude control parameters based on a quantum firefly algorithm, and belongs to the field of automatic control. The method comprises the steps of building an unmanned aerial vehicle attitude motion model, designing a fractional order PID controller, determining a to-be-set parameter, and selecting an error index function as an objective function; setting parameters of the quantum firefly algorithm; executing the quantum firefly algorithm to perform controller parameter setting optimization, and obtaining the optimal controller parameter and the objective function value of the current setting; judging whether the objective function value meets requirements or not; if the objective function value meets the requirement, determining that the firefly position is the optimal attitude controller parameter, and ending the setting; otherwise, returning to the step 2, resetting the parameters of the quantum fireflyalgorithm, and executing the steps 2-4. According to the method, on the basis of a standard firefly algorithm, improvement is carried out by utilizing a quantum theory, elite retention and mutation behaviors, and the defects that the later convergence speed of the standard firefly algorithm is seriously reduced, the convergence precision is not high, and local optimum is likely to happen in the prior art are overcome.

The invention discloses a UVM-based RFID tag chip verification device. The device comprises static components including a virtual interface module, a runtest calling method, a clock generation module,a DUT of an RFID tag and an EEPROM (Electrically Erasable Programmable Read Only Memory) module. Dynamic components comprise a base test module, a mycase module, an ENV module, a CONFIGURATION module, an agent module, a scoreboard module, a refresh module, a driver module and a monitor module. According to the method, the methodology of the UVM is adopted, so that the verification efficiency is higher. The hierarchy is clear, and the verification efficiency and credibility are improved by generating different test cases and a large number of randomized tests.

The invention discloses a power system small-signal stability analysis method based on a fractional order differential theory. The method comprises steps: 1) a power system small-signal fractional order model is built; and 2) robust stability analysis on the power system small-signal fractional order model is carried out. The power system small-signal stability analysis method based on the fractional order differential theory has the beneficial effects that construction of a simplified nonlinear equation for idealized processing of a complex system is not needed, linearization on the constructed simplified nonlinear equation is also not needed, an equivalent simplified model for a power system complex small-signal model is constructed according to an intermediate equivalence process theory, a large number of differential operators reflecting the characteristics of the system are not lost, the characteristics of the system can be reflected more accurately, the power system small-signal stability analysis is more accurate, the control is more reliable, and the operation is safer.

The present invention provides an intermodulation test method and device. The method comprises the steps of controlling a plurality of modulation signal sources to send the broadband modulation signals of different frequencies respectively; adjusting the output signal amplitudes of the modulation signal sources to enable the amplitudes to be the preset values when the signals arrive at the entrances of the tested devices; setting an analysis frequency range of a signal analyzer, and obtaining the intermodulation products generated by the tested devices after the plurality of modulation signal sources output signals to the tested devices; measuring the intermodulation products, and comparing the measurement results with a first threshold value; according to the comparison results, determining whether the intermodulation performances of the tested devices are qualified.

The invention discloses a lithium ion battery model parameter recognition method based on a chaotic cat group. The invention discloses a lithium ion battery parameter recognition method, relates to the technical field of electric power, and aims at carrying out parameter recognition on a lithium ion battery model by introducing a chaotic cat swarm algorithm which can carry out local search and global search at the same time, and introducing the chaotic algorithm on the basis of a cat swarm, so that the algorithm ergodicity is improved, and the convergence degree of a globally optimal solutionis greatly improved.

The invention provides a digital platform based on data service and data management. The platform comprises a data service module which is used for collecting service information, and generating corresponding service data according to the service information; a data management module used for acquiring a service demand, transmitting the service data to control ends of corresponding managers according to the service demand, matching the service data with a preset service service mode, and determining a matching result, wherein the managers comprise a service demander, a service manager and a service partner; and a digital platform used for linking the data management module and the data service module when the matching result is successful, pushing and guiding the matching result to the intelligent terminal based on the preset intelligent terminal to construct the digital platform.

An embodiment of the invention discloses a file traversal method, apparatus and system. The file traversal method is applied to a traversal server; the traversal server generates an initial traversal task according to a received traversal request for a target storage cluster, and receives a sub-task set obtained after splitting the initial traversal task by a first storage node; each storage node in the target storage cluster generates a sub-task request; and storage nodes corresponding to sub-tasks in the sub-task set finish file traversal operations respectively and receive traversal data returned by the storage nodes to generate a traversal result. By applying the technical scheme provided by the embodiment of the invention, the traversal server performs generation of the initial traversal task and distribution of the sub-tasks in a file traversal process; each storage node executes the corresponding sub-task in the local; and the storage nodes are not interacted, so that the file traversal performance is improved and the load pressure of the storage cluster is reduced.

The invention provides a method and system for efficiently traversing a large data volume set, a terminal and a storage medium. The method comprises the steps of obtaining the number of CPU cores of acurrent server; averagely splitting the big data set into subsets with the same quantity according to the quantity of the CPU cores; creating a unique corresponding sub-thread for each subset, and controlling the sub-thread to execute a processing task of the corresponding subset; and collecting calculation results of all the sub-threads, combining all the calculation results, and outputting thecombined calculation results to the main thread. The big data set can be rapidly processed, the processing steps are simple, computing resources can be fully utilized, and the method is suitable for conventional application programs.

The invention discloses a user page testing method and device, electronic equipment and a storage medium, and relates to a page testing technology. The specific implementation scheme comprises following steps of capturing a screenshot of a current page; obtaining a control tree corresponding to the current page according to the screenshot of the current page; according to the control tree corresponding to the current page, dividing the current page into a page type corresponding to the current page; and testing the current page according to the page type corresponding to the current page. According to the embodiment of the invention, a unified test method can be adopted for user pages of different containers, the generalization ability is high, and the test efficiency is higher.

The invention discloses a safe unloading method for load balancing in a mobile edge computing network, which comprises the following steps of: A, constructing a multi-cell mobile edge computing systemarchitecture, and initializing a to-be-processed task of a mobile equipment end and related parameters of an edge server; B, proposing a data security transmission strategy for the unloaded data; S,proposing a multi-objective optimization problem, taking the total time for completing the task as a first objective function, taking the total energy consumption of the user side as a second objective function, and taking the system load mean square error as a third objective function; and D, optimizing the three objective function values by using an improved multi-objective optimization algorithm, obtaining a Pareto optimal unloading strategy set, and obtaining an optimal unloading strategy according to user preferences. The method is suitable for a multi-cell and multi-server scene, safe task unloading is achieved, time delay and energy consumption are reduced, and system loads are balanced.

The invention discloses an intelligent setting method for attitude control parameters of a carrier rocket. The method comprises the following steps: acquiring nonlinear controller parameters and an objective function of the attitude of the carrier rocket; adopting a quantum dogvessel algorithm, setting and optimizing nonlinear controller parameters by solving the maximum value of an objective function, and determining optimal nonlinear controller parameters, wherein the determination of the quantum dogvessel alveolar algorithm comprises the following steps: on the basis of the standard dogvessel alveolar algorithm, determining the state of the quantum dogvessel alveolar by adopting a quantum bit probability amplitude coding mode; and according to the sine and cosine position variables corresponding to the two positions in the parameter solution space, determining the target function value of the two position coordinates, and taking the maximum value as the target function value of the quantum dogvessel state. According to the method, the quantum theory is combined with the dogvessel alveolar algorithm, each quantum dogvessel alveolar state is equivalent to two positions occupied in an optimization parameter space, each dogvessel alveolar state corresponds to two solutions of an optimization problem, the ergodicity of the algorithm is improved, and the global convergence speed of the algorithm is increased.

The invention discloses a robot path planning method based on local optimal convolution evaluation. The method comprises the steps of building a two-dimensional grid map of a working environment through a mobile robot, and determining the positions of a starting point and a target point; enabling the mobile robot to sense environment information around the current position, and screening out a feasible moving direction from the candidate moving directions; calculating the projection of a unit vector in each feasible moving direction in the negative gradient direction of the target point distance function, and obtaining a local optimal moving direction; checking the rationality of the local optimal moving direction by using a convolution evaluation index; and when the feasible path cannot be found in the primary path planning, performing secondary path planning, and canceling a link of checking the rationality of the local optimal moving direction. According to the method, the path planning of the mobile robot in an unknown environment can be realized, the decision-making thought conforms to the actual operation characteristics of the mobile robot, and the method has the advantages of small operand, high ergodicity and high operation efficiency.

The invention provides an end-to-end delay improvement method and device for a hysteresis network based on a behavior similarity model, and the method comprises the steps: enabling a hysteresis network application scene to be mapped on a map, and dividing the map into regions; setting initialization time, calculating and recording the access frequency of each node of the tolerance network to eachregion within the initialization time, and reserving the weight value vector table of all the regions by each node; obtaining a node pair of two nodes entering the communication range of the oppositeside in the hysteresis tolerance network, wherein the node pair comprises two nodes entering the communication range of the opposite side; entering a node pair emission stage; and judging whether thenumber of message copies of the node in the node pair is 1 or not, and if so, entering a waiting stage. According to the scheme provided by the invention, the effects of high message submission probability in the DTN and reduction of submission delay can be achieved.