87results about How to "Hierarchical" patented technology

The present invention relates to a target tracking cooperative control system and method based on multiple unmanned surface vehicles. The system is formed by connecting a shore-based global location host and a single unmanned surface vehicle control system through a wireless communication module. The method comprises the operation steps of: 1) a formation generation process: employing an auction algorithm to find a multi-target distribution scheme of the multiple unmanned surface vehicles with the maximum income of an unmanned surface vehicle group; 2) motion of the unmanned surface vehicles to perform geometric path planning from any initial state to a target point; and 3) prediction of a target motion track through adoption of a prediction model based on a particle swarm to replace communication abnormal data and perform formation track tracking. The method reduces the calculation amount of the multiple auction processes, achieves the real-time demands of task distribution of the unmanned surface vehicles, employs the path planning method based on the geometric method and the track tracking method based on the neural network to meet the timeliness and the accuracy requirements ofsingle-vehicle track tracking control, employs the motion track predicted by employing the particle swarm optimization to perform compensation, improves the tracking capacity of the unmanned surfacevehicles in the limitation of the communication condition and allows the formation tracking to have high reliability and stability.

The invention discloses a radar simulation system based on an XML (Extensive Makeup Language) schema. According to the invention, the system framework, interface specification and operation statute of the radar simulation system are defined through the high abstraction of the radar simulation system architecture and full life-cycle development. The radar simulation system comprises a radar simulation setting module, a radar simulation engine interface module, a radar simulation tool set module, a radar simulation model library module, a universal simulation mode library module, a radar simulation link library module, a radar simulation configuration module, and the like. Through the invention, the reuse, integration, and interoperation of the radar simulation model are facilitated, and the gradual refining, evolution, analysis and evaluation of the radar equipment demonstration simulation can be effectively supported.

The invention discloses a method, device and system for processing high-concurrent requests, belonging to the technical field of communication. The method comprises the following steps that: S1, a server processes a request data command sent by a client side through three-stage filtering process layers having different functions; and S2, if the request data command cannot pass the current filtering process layer, the request service of the client side at this time is refused; a processing result is returned to the corresponding client side; and, if the request data command sequentially passes through the three-stage filtering process layers, the processing result is returned to the corresponding client side after the request service of the client side at this time is subjected to service logic processing. According to the scheme, an effective strategy is made according to different functions of the three-stage filtering process layers; user requests are filtered, so that the server can refuse access requests of malicious users while having super-high-concurrent requests; the stability and the availability of the server can be ensured according to the priority strategy of users; and furthermore, full-load operation is carried out in the processing capacity range of the server.

The invention provides a 5G Internet of Things intrusion detection method and system based on federated transfer learning. The 5G Internet of Things intrusion detection method comprises the steps of:collecting a to-be-detected traffic in the Internet of Things, and acquiring a feature vector of an original data packet; and inputting the feature vector into a corresponding client model fm, k, andjudging whether the to-be-detected traffic is legal or not. According to the 5G Internet of Things intrusion detection, the federation transfer learning method in the 5G Internet of Things IDS is proposed for the first time, data from different Internet of Things can be safely aggregated, a good intrusion detection model for each Internet of Things is realized through knowledge transfer and sharing, the 5G Internet of Things intrusion detection method can be conveniently and safely applied to various different Internet of Things, and the method has very strong generalization ability and is suitable for popularization and application. Compared with an existing method, abnormal traffic can be detected more accurately, and unknown attacks can be detected more effectively.

The invention discloses an acquisition system and a method of the text field based on concept symbols. The system comprises a concept symbol set for expressing word concepts and field categories, a word knowledge base for storing word and concept symbols, a word segmentation processor, a statement semantic analyzer and a field arbiter. The method comprises the following steps: (1) segmenting an input text into paragraphs, statements and words; (2) carrying out semantic analysis on the statements for obtaining concept categories and semantic blocks of the statements; (3) obtaining activating words in the statements according to semantic concept symbols in the field concept symbol set and the word knowledge base; (4) carrying out comprehensive scoring on field concept symbols of the activating words and obtaining the field concept symbol with the highest score as the field of the statements; (5) merging the statements in the paragraphs according to the field concept symbols for obtaininga statement group and the field thereof; and (6) obtaining the field of the text according to a title of the text and the frequency of occurrence and the position of the statement group in the statement group.

The invention discloses a method for realizing cooperative work of a fixed value adjusting system and an on-line device. The method adopts substation fault information systems, main station fault information systems and the fixed value adjusting system, wherein the substation fault information systems are used for acquiring protection action information of an on-line protection device of a station and oscillograph recorded information; the main station fault information systems are connected with a plurality of substation fault information systems and used for dispatching and managing the substation fault information systems and acquiring information of the substation fault information systems; the fixed value adjusting system is used for analyzing and calculating the information acquired by the main station fault information systems and correcting a relay protection fixed value sheet in real time; the fixed value adjusting system is provided with an interface contacted with each main station fault information system, and the interface is in network connection with the main station fault information systems through negative and positive isolation devices to realize bidirectional communication between the fixed value adjusting system and each main station fault information system. The method finishes contact between the fixed value adjusting system and the on-line protection device of the station through network and fault information channels, realizes fixed value on-line adjustment, and can improve the automatic level of power grid operation.

The invention discloses an environment sensing system and method based on a coordinated USV group. The environment sensing system comprises single-vessel sensing modules, a coordinated control system, wireless communication modules, GPS / IMU modules and single-vessel control modules. Each single-vessel sensing module comprises a camera and a laser radar, the laser radar obtains position and motion information of an object, and the camera identifies the object. The coordinated control system comprises a coordinated control unit and a coordinated sensing unit, the coordinated control unit carries out a coordinated control algorithm to command motion of the USV group, and the coordinated sensing unit coordinates states of the single-vessel sensing modules. The wireless communication modules upload state information and environment sensing information of vessels to the coordinated control system, and also transmits instructions of the coordinated control system. Each GPS / IMU module obtains position and attitude information of the corresponding vessel, and assists in normal operation of other systems. The environment sensing system is reasonable in design, high in system hierarchy, and is easy to realize in the aspects of hardware and software.

The invention discloses a cloud platform data organization and retrieval method for 3D (three-dimensional) urban building data. The method comprises the following steps: (1) establishing four layers of cloud platform architectures for the 3D urban building data, namely a cloud storage layer, a cloud platform service layer, an application service layer and an application layer; (2) establishing a storage structure for 3D building model data and attribute data and an inverted index table by HDFS (Hadoop distributed file system) file management and HBase database management; (3) establishing a KD index tree of a MapReduce framework-based complete binary tree; (4) giving a position retrieval-based quick search method for the building model data and the attribute data. According to the method, the 3D urban building information of a cloud platform is organized by using the four layers of architectures, the inverted index table and a building model data and attribute data distributed type storage organization are established, and the KD index tree of the MapReduce framework-based complete binary tree is established. The method has data expandability and service expandability, and is high in 3D building data storage efficiency; distributed type parallel search is realized, multi-user concurrent access can be effectively processed, and the retrieval response speed is more ideal.

The invention relates to a geometry and behavior integrated three-dimensional modeling method for a spacecraft. After the invention fully researches the geometric shape and behavior characteristics of the spacecraft, the invention provides the method by adopting layering modeling, model abstraction technique and computer graphics three-dimensional modeling to be combined with a molding theory. The method is simple and efficient, the model can be modified easily, the components can be transplanted and reused, and the method can be used for behavior modeling for the spacecraft, provides auxiliary means for designing and manufacturing the spacecraft, can realize reasonable unification between the three-dimensional geometrical model and the behavioral model of the spacecraft, can be applied to full life cycle and full system comprehensive management of complex aerospace products, analyzes complex products on the system layer, and supports development of the complex system from top to bottom.

The present invention discloses a photovoltaic power plant AVC control method, and the control errors of a calculation inverter and a reactive compensation device are calculated. The control error compensation and state estimation technology are introduced in a voltage reactive adjustment process, and the reactive control is carried out through the mode of gradually reducing the steady-state error between the outputs of photovoltaic power plant reactive power sources and a control target. After a reactive target is received, combined with a current reactive actual value, reactive power sources in a field are coordinated, and the reactive target issued by a main station is rapidly followed to carry out reactive control. According to the method, the reactive power balance of the inverter and the reactive compensation device can be reasonably allocated, under the premise of ensuring the safe and stable operation of photovoltaic power plant equipment, the dynamic continuous adjustment is realized to control grid-connected point voltage, and the requirement of the grid voltage is satisfied.

The invention relates to an electric car lithium battery active balancing system based on a battery management chip LTC6804. A single-chip microcomputer collects battery voltage through a battery management chip, a lithium battery active balancing scheme is determined, bilateral switches formed by connecting N-MOSFETs and P-MOSFETs in series are used in balancing circuits, bidirectional transferring of energy can be achieved, two sets of bilateral switches only need one control signal, and the system control difficulty is greatly reduced. Each battery needs to be connected with a charging allowing switch in series, wrong charging is prevented, and the safety and reliability of the system are improved. Switching between the single-single balancing circuit and the single-overall balancing circuit can be achieved by controlling two N-MOSFETs, the circuit structure is clear, and control is convenient. A double-layer balancing circuit is formed by the single-single balancing circuit and the single-overall balancing circuit, and the optimal balancing effect is achieved through a power lithium battery pack. The circuit structure is simple, cost is low, the balancing speed is high, the circuits have hierarchy, modularization is easy, stacking of the balancing circuits is promoted, and the system can be widely applied to electric cars.

The invention discloses a method for building a network application simulation system. The method comprises the following steps of: determining a bottom-layer configuration parameter and an application-layer configuration parameter of a network simulation system according to the requirement of the network simulation system; generating a bottom-layer physical network of the network simulation system according to the bottom-layer configuration parameter; building a network application system of the network simulation system according to the application-layer configuration parameter; and counting and visibly displaying the performance states of the network application system and the bottom-layer physical network when the simulation operates. According to the method disclosed by the embodiment of the invention, the method for building the network application simulation system is suitable for the building and the state monitoring of simulation platforms having various types of network application, and a solid argument basic platform is provided for proposing novel network application when the existing network application is guided to optimize at the same time.

The invention provides a method and a device of compression of an internet protocol (IP) masthead. The method of the compression of the IP masthead comprises the following steps: step A, carrying out compression on source address fields and destination address fields of the IP masthead according to the type of a source address and the type of a destination address in the IP masthead; step B, carrying out compression on transmission type fields and flow label fields in the IP masthead according to a transmission type and a flow label in the IP masthead; and step C, carrying out compression on first part fields of a next masthead in the IP masthead according to a first part type of the next masthead in the IP masthead. The IP masthead which is compressed satisfies a hierarchical structure of an internet protocol through compression so as to facilitate subsequent analysis and processing.

The invention discloses an A / C axis double pendulum milling head driven by a inner rotor torque motor. The A / C axis double pendulum milling head comprises an upper unit, a lower unit, and an AC connecting plate, wherein the upper unit comprises a C axis, first inner rotor torque motors and first transmission connecting pieces, and the lower unit comprises a box body, an A axis located in the box body, a second inner rotor torque motor and a second transmission connecting piece. The AC connecting plate is arranged between the upper unit and the lower unit, the first transmission connecting pieces are fixedly connected with the upper end of the AC connecting plate, and the lower end of the AC connecting plate is fixedly connected with the box body. The central line of the C axis is arrangedin up-down direction, the first inner rotor torque motors drives the C axis and the AC connecting plate to rotate through the first transmission connecting pieces, the second inner rotor torque motordrives the A axis to swing through the second transmission connecting piece, and the swing plane of the A axis is parallel to the center line of the C axis. According to the A / C axis double pendulum milling head, the A axis and the C axis are driven by the inner rotor torque motor, the transmission links are few, the transmission mode and the layout are simple, the transmission is stable, the precision is high, the heat dissipation is good, and the torque is large.

The invention brand-new proposes a patent knowledge graph construction method based on an object agent database, and the method comprises the steps: firstly achieving the storage of basic classes through employing a source class in an object agent, and then completing the modeling of a relation class through employing four agent classes. On the basis, the construction of the query is realized by utilizing the cross-class query statement. Compared with a current knowledge graph mode, the multi-level semantic association can be better expressed, the connection operation of the data table is reduced, and the query efficiency is improved.

The invention discloses a vehicle distributed multilevel health state monitoring system, relating to the vehicle vehicle-mounted health state monitoring technology and aiming to solve problems of poor flexibility and universality and a low utilization rate of monitoring data in the current vehicle monitoring system. In the vehicle distributed multilevel health state monitoring system, a plurality of collection nodes respectively collect measurement information transmitted by a plurality of sensors; the measurement information is transmitted to a plurality of convergence nodes; the convergence nodes transmit the measurement information transmitted by the plurality of collection nodes to a comprehensive information aggregation device after aggregation; the comprehensive information aggregation device receives measurement information transmitted by the plurality convergence nodes and state information of various vehicle-mounted devices and transmit the measurement information and the vehicle-mounted state information to a health information processing device after aggregation; and the health information processing device processes, stores and displays the received information. The vehicle distributed multilevel health state monitoring system is good in flexibility and universality, can deeply dig and analyze the monitoring data and is applicable to various vehicles.

The invention discloses a picture human body action recognition method based on hierarchical information transmission, which comprises the following steps: S1, the human body is divided into a hierarchical structure, the hierarchical structure is composed of local body regions with finer and finer granularity from top to bottom, that is, the human body is recursively decomposed into smaller body parts; 2, constructing a hierarchical propagation network, transmitting and integrating the hierarchical structure information in the step S1 recursively, thereby obtaining a final action descriptor; S3, combining the action descriptor obtained in the step S2 with the extra full graph information, inputting the final full connection layer for classification, using the sigmoid function to calculatethe probability distribution of the confidence degree, and using the binary cross entropy to calculate the classification loss. The invention defines an abstract human body segmentation framework andsegmentation rules, which makes the selection of the human body segmentation scheme more flexible and reduces singularity or irrationality.

The invention discloses a monitoring control system based on an electric energy optimizing device. The monitoring control system comprises a fault collecting module, a sensing module, an analog-digital conversion unit, a central processing unit, a data memory module, a data exchange module, a dispatching module, a database module, a wireless receiving and dispatching module, a remote control terminal and an upper computer. According to the monitoring control system, centralized monitoring and management can be carried out on each transformer substation, the requirement of manpower can be reduced, comprehensive monitoring for bottom-up information inside the transformer substations is realized to discover problems in time, and managers in a control center can remotely command maintenance personnel to quickly discover and solve the problems, so that the technological process of site viewing and information feedback can be greatly compressed, the time, manpower and material resources of operation and maintenance are reduced, and the pressure that operation and maintenance staff are insufficient at present is relived; and the monitoring control system has the advantages of high structural hierarchy, double safeguard, data reduction, security, reliability and high expansion capacity.

A network access method used for the wireless digital communication, a wireless communication system comprises a number of wireless communication module, and each wireless communication module has its own baseband controller and radio transceiver, and the independent local clock, and it is characterized by: the base station comprises one or more above wireless communication modules, each wireless communication module occupying a band, and the band is divided into a management channel and several business channels; in addition, the single wireless communication module becomes the user terminal, and the user terminal can work not only in the management channel, also in the business channel, through frequency hopping to realize, and the wireless communication module of the base station sends and receives the information through the timeslot of the local clock definition, which processes wireless communication with one or more user terminals, and it has the advantages of high flexibility, scalability and portability, and it can be used in personal communication, LAN communication, industrial control, and other fields.

The invention discloses an intelligent building management system. The intelligent building management system comprises a management center and a plurality of building management units; all the building management units and the management center are located in a same local area network, and all the building management units are in communication connection with the management center through respective building master controllers separately. According to the intelligent building management system, all buildings and the management center are located in the same local area network, and the buildings can communicate with one another and are centralizedly managed through the management center, which can avoid confusion caused by independent management of each building; the management has hierarchy, which achieves interconnection and sharing of management data among all the buildings, avoids resource allocation redundancy and waste, facilitates centralized management and operating maintenance, is conductive to achieving urbanization management of the buildings, facilitates centralized management and control of urban energy consumption, and can also improve the safety of public buildings.

The invention discloses an integrated supervisory control simulating training system model data management method for equipment functions in railway integrated supervisory control. The integrated supervisory control simulating training system model data management method includes the steps that based on function simulating for equipment, a template-equipment model data management structure is established; through an equipment function simulating logic template, function simulation defining of the equipment template is performed on logical relationships among point templates included by the equipment template; equipment simulating model data configuration is performed, and modeling and function simulating are performed on data in a railway integrated supervisory control simulating training system. On the basis of function simulating for the equipment, the management structure based on the template-equipment model data is established, and in combination with the equipment function simulating logic template, the problems that according to the traditional data modeling and function simulating design method in the integrated supervisory control simulating training system, because modeling management is performed for point functions, integrality is poor, and the data volume is large are solved.

The invention discloses building decoration paint. The building decoration paint is prepared from, by weight, 7-13 parts of a base material, 20-35 parts of filler, 4-17 parts of pigments, 10-13 partsof an auxiliary agent and 70-90 parts of distilled water. The base material is prepared from, by weight, 10-15 parts of silica sol, 12-20 parts of acrylic resin and 15-20 parts of epoxy resin. The filler is prepared from, by weight, 5-10 parts of light calcium carbonate and 30-35 parts of color sand. The auxiliary agent is prepared from, by weight, 22-27 parts of a whitening agent, 2-4 parts of stabilizing agent and 8-14 parts of a flame retardant. Various materials are processed to form the paint which is stable, high in quality and resistant to fire, combined materials are superior to existing materials, and the paint is less prone to damages and shedding, high in safety and long in service life. The paint has a faint mint aroma which masks intrinsic odor of the paint, so that physical comfort in use of the paint can be improved. After the paint is applied to exteriors of buildings, physical harms can be reduced, and safety of the paint is improved.

The invention discloses a music classification method based on deep learning, and the method comprises the steps: converting an audio file of music into a Mel spectrogram, and generating a one-hot vector of a music label; respectively transmitting the Mel spectrogram of the music and the one-hot vector of the music label into a convolutional neural network and a recurrent neural network; obtainingfrequency domain and time domain feature vectors of music through a convolutional neural network, obtaining a music-label relationship vector through a recurrent neural network, mapping respective output vectors of the convolutional neural network and the recurrent neural network to the same dimension, and performing connecting and combining to form a music-label embedding vector; and transmitting the music-label embedding vector to a label prediction layer, wherein the output of the music-label embedding vector is the probability value of the music corresponding to each category label, and finally, selecting a plurality of category labels from all the category labels as the classification of the music according to the probability values. The invention belongs to the technical field of information, and can realize accurate prediction of music category labels based on numerous and staggered relationships of music categories.

The invention discloses a hierarchical label of a question bank and an intelligent application method. The method comprises a knowledge hierarchical tagging and quantification method, a difficulty quantification method based on knowledge point hierarchical tags, an intelligent question bank question composition method based on the difficulty quantification method based on the knowledge point hierarchical tags, a tag processing method for different question types, an intelligent question composition method based on an intelligent question bank and an intelligent test paper analysis method. According to the method, the knowledge points are labeled and quantized according to knowledge levels and cognitive depths, so that the knowledge points are hierarchical and have determined quantized values; based on the question bank of the tagged knowledge points, intelligent extraction of the knowledge points can be realized, and the question bank is further enabled to have intelligence. Based on an intelligent question bank, intelligent test paper composition and intelligent test paper analysis can be realized according to knowledge point labels and according to a use target, so that a user ofthe question bank masters the overall situation and individual situation of learners according to the labels and formulates targeted teaching and learning strategies.

The invention discloses an ultrathin vapor chamber with a composite wick structure and a manufacturing method of the ultrathin vapor chamber. The ultrathin vapor chamber comprises an evaporation plateand a condensation plate; a cavity is formed in the inner surface of the evaporation plate, and a first capillary structure and a second capillary structure are arranged in the cavity; the first capillary structure is a micro-channel channel structure integrally machined with the evaporation plate, and the second capillary structure is a porous metal structure formed through sintering; a third capillary structure is arranged on the inner surface of the condensation plate, and the third capillary structure is provided with radial circumferential array micro-channels. The manufacturing method comprises the steps of integrated machining of the evaporation plate cavity and the first capillary structure, sintering of the second capillary structure, machining of the condensation plate, cleaningand seal welding, and vacuumizing and liquid injection. The vapor chamber with the composite wick structure has the advantages of being small in thickness, large in permeability, large in supportingstrength, high in heat dissipation efficiency and reversible in gravity.

The invention discloses a short message display method. The method comprises: a user terminal receives short message content information and sender ID information of the short message; type information of the sender is obtained based on the sender ID information; when the type information is first type information, first title information is generated based on the short message content information; partial information of the short message content information is obtained; the first title information and the partial information are displayed in a short message list; when the type information is second type information, partial information of the short message content information is obtained; preset title information and the partial information are displayed in the short message list; when the type information is third type information, a pre-stored ID information list of the user terminal is invoked; whether the sender ID information is in the ID information list is determined; if so, sender information corresponding to the sender ID information is invoked; partial information of the short message content information is obtained; and the sender information and the partial information are displayed in the short message list.

The invention discloses a singlechip operating system implementation method based on a message queue. According to the method, program codes are edited by use of C language, and a compiler of Keil company is utilized for compiling to generate a binary execution file. The method comprises the following steps of: firstly, defining message structure types and a message structure type array taken as a message queue; then designing a message access function to realize a first-in first-out function of the message queue; and finally, infinitely and circularly reading messages by virtue of a main function, calling a corresponding task treatment function according to message values, and performing the next circulation after the task treatment function is returned. The method has the beneficial effects that in a singlechip software system, pre-stored messages are executed, so that the function of a preemptive multitasking operating system is realized, the edited codes are concise in structure, distinct in gradation and easy to maintain, and the software operating efficiency is obviously improved.

The invention discloses a product surface treatment device. The product surface treatment device is characterized in that a rack, saw blades (2), a first drive device and a second drive device are included; the saw blades (2) are mounted on the rack and used for cutting away burrs of a product to be treated; the first drive device drives the product to be treated to rotate; the second drive device drives the saw blades (2) to rotate; and the saw blades (2) can transversely move and longitudinally move relative to the product to be treated. According to the product surface treatment device, after product machining is finished, the saw blades are used for cutting away the burrs of the product to be treated; automatic control is achieved; the structure is simple; operation is easy; the procedure is simple; the work difficulty is simplified; manual cutting away is not needed; time saving and labor saving are achieved; time is saved; the cost is reduced; the work efficiency is high; safety and reliability are achieved; and no pollution is generated to the product and workers.

The invention discloses a hierarchical distributed deployment method and system for a virtual network based on reinforcement learning, which aim at network simulation based on a Docker containerized virtual network. Aiming at the problems of virtual network optimization, slicing and deployment, under a physical host machine distributed environment in which calculation, network and storage resources are limited, through a reinforcement learning framework, a reward mechanism considering physical host machine resource consumption and virtual network block cross-host machine communication performance loss is designed, and long-term benefits of different actions adopted by each physical host machine in different resource supply states are continuously calculated; an algorithm dynamically, autonomously and continuously learns an optimized virtual network slicing scale and a proper deployment opportunity, and certain dynamic randomness is introduced through a randomness strategy, so that the problem of over-consumption of resources or over-fragmentation of slicing caused by excessive and rigid selection of the maximum action is avoided; therefore, the purpose of hierarchical and distributed optimization deployment of the virtual network is achieved.