96results about How to "Realize the plan" patented technology

The invention relates to an indoor emergency evacuation simulation method for a complex building. According to the method disclosed by the invention, a three-dimensional extended hierarchical node relation model (EHI-NRM) of an internal space unit of the complex building is automatically generated, and the update of a dynamic path of a large-scale complex building is supported; an improved cellular automaton model (ICA) can better simulate jam, avoidance, mass-following and other phenomena of a large-scale crowd during the evacuation process; and an optimal evacuation path is searched in real time in the macro-level through an EHI-NRM dynamic path-finding method, and the ICA is applied in the local level for simulating the behavior characteristics of the crowd. According to the method disclosed by the invention, the evacuation simulation of the large-scale crowd in the large-scale complex building is supported, and the method has important application values for ensuring the safety of staff in the building and improving the decision-making capacity of an emergency rescue department.

The invention relates to a frequency planning method in GSM network. The frequency planning method in GSM network comprises the following steps: A, infrastructure data collection and collation; B, coverage optimization; C, neighboring optimization; D, optimization of same frequency and same BSIC (Base Station Identity Code); E, measured data collection and collation; F, interference matrix building; G, frequency model judgment; H, planning object selection; I, frequency planning; and J, cutting implementation according to frequency planning results; Step B is based on data of Step A, in Step B, a comprehensive general survey on the planning network is made, an antenna of the network, a repeater, an indoor distribution system and an extension system are understood and mastered comprehensively; and then coverage is optimized; Step G is based on data of Step A, through the analysis of network mean carrier frequency configure number and density of mean carrier frequency configure per unit area, the method for optimal frequency multiplexing model is acquired; Step G is based on data of Step A, according to requirements of the planned residential areas, a region, scale and capacity, the method for planning the region is acquired. The invention has high response speed.

The invention provides a passenger transport bus route planning method and device; the method comprises the following steps: obtaining public transport liquidation data from a preset public transport data platform; collecting station information in a corresponding time period according to the public transport liquidation data, wherein the station information contains association relations between departure stations and corresponding destination stations and departure passenger number on the departure station; building a passenger transport bus route selection model, wherein the model defines a value relation between a potential passenger number and a bus seat number; determining the departure station, and planning a passenger transport bus route for the determined departure station, wherein the departure passenger number, taking the same associated destination station as the destination, from the determined departure station complies with the value relation. The method uses the public transport liquidation data to plan the passenger transport bus route, so no field research is needed, thus saving time; the planning method is high in accuracy, wide in exhaustiveness, and the planned passenger transport bus route is more reasonable.

The invention discloses a refined crop fertilization system and a fertilization method. The fertilization system comprises an omnibearing movable platform as well as a fertilization device, a detection device and a control device, which are all arranged on the omnibearing movable platform, wherein the omnibearing movable platform, the fertilization device and the detection device are controlled by the control device; the fertilization device comprises a fertilizer box, a liquid outtake pipe, a conveying pump, a drive device and a mechanical arm, wherein one end of the liquid outtake pipe is connected with the conveying pump, and the other end of the liquid outtake pipe is communicated with a jet rod; a plurality of jets are arranged on the jet rod; the conveying pump is communicated with the bottom of the fertilizer box via a pipeline and used for pumping the fertilizer into the liquid outtake pipe; the drive device is connected with the conveying pump and used for driving the conveying pump to operate; the jet rod is fixed on the mechanical arm; the detection device comprises a binocular camera and a spectrograph both fixed on the mechanical arm. The invention further discloses a refined crop nitrogenous fertilizer fertilization method. According to the invention, the information on characteristics of crops can be comprehensively analyzed via the binocular camera and the spectrograph, so that refined fertilization is achieved, and meanwhile, the structure is simple, and the jet fertilization is more flexible.

The invention provides a flight path determining method for performing automatic inspection on a fan through an unmanned aerial vehicle and a system thereof. The fan at least comprises a tower, a power generator, a wheel hub and an impeller. The impeller comprises a plurality of blades. The method comprises the steps of establishing a world coordinate system through using a ground center of the tower of the fan as an original O, wherein a Y axis is in a vertical direction, a Y axis is in a vertical upward direction, a Z axis is in a right north direction, and an X axis is a right east direction; performing translation transformation and rotation transformation according to the world coordinate system for generating a power generator coordinate system which corresponds with the power generator, performing translation transformation and rotation transformation according to the power generator coordinate system for generating a wheel hub coordinate system which corresponds with the wheelhub, and performing rotation transformation according to the wheel hub coordinate system for generating a blade coordinate system which corresponds with each blade; and setting a plurality of path points at the front side and / or back side of each blade through the blade coordinate system which corresponds with each blade, wherein each path point comprises a geographical position and camera attitude information, and forming a flight path according to the path points. The method and the system can conveniently realize path point planning and furthermore improve calculation efficiency.

The invention discloses a wire-controlled four-wheel active steering electric wheel system and a steering fault-tolerant control method thereof. The system includes a steering wheel, a steering wheelrotation angle sensor, two steering motors, two motor control units, a motor fault detection device, two rack-and-pinion steering gear, two steering tie rods, four wheels, a hub motor, a yaw velocitysensor, a vehicle speed sensor, a lidar, a vehicle-mounted camera and a whole vehicle control unit. In the course of driving, the whole vehicle electronic control unit collects the steering wheel rotation angle, the yaw angular velocity, the vehicle speed, a lidar signal and a vehicle-mounted camera signal in real time, a set controller is used for calculating the rotation angles of the front andrear wheels and output torque of the four hub motors and transmitting the signals to each motor controller, and the motor controller sends a current signal to a motor to complete steering operation. The fault tolerance problem of the wire-controlled four-wheel steering system can be effectively solved and the driving safety of the vehicle is improved.

The invention provides an agricultural machinery automatic driving control device based on Beidou navigation, and belongs to the technical field of agricultural machinery control. The agricultural machinery automatic driving control device comprises a differential reference station and an autopilot. The differential reference station is provided with a first measuring receiver which is connected with a first measuring antenna. The first measuring receiver is connected with an emission radio station. The autopilot comprises a vehicle-mounted navigator, a vehicle-mounted display controller, an electric steering wheel controller and a guide wheel controller. The vehicle-mounted navigator is connected with the vehicle-mounted display controller. The steering wheel steering controller is respectively connected with the vehicle-mounted display controller and the guide wheel controller. Agricultural machinery position information and soil cultivation resistance parameters can be acquired, and the measured parameters are stored and cultivation area is automatically planned so that the device can be applied to the control work of an agricultural machinery automatic driving cultivation route.

The invention discloses a PCI planning method of an LTE (Long Term Evolution) network. The PCI planning method of the LTE network comprises the steps of A, collecting and organizing basic data; B, optimizing coverage; C, optimizing adjacent zones; D, collecting and processing measurement data; E, establishing an interference matrix; F, determining a PCI model; G, selecting a planning object; H, performing PCI planning; and I, cutting over and implementing a planning result, wherein the step B is to pre-process problems by performing comprehensive checking and optimization for the planning network based on the data in the step A; the step F is to obtain the optimal PCI reusing model by analyzing a network configuration density and a scene based on the data in the step A; and the step G is to obtain a planning area based on the data in the step A and requirements on the planning zone, territory, scale and capacity. The PCI planning method of the LTE network is fast in response speed, reasonable in planning, practicable, flexible, convenient and efficient.

The invention is a composite locating system for wireless distance measuring on the omnidirectional image, which belongs to the technical field of image locating and wireless communication locating. The system is composed of fixed node and move node. The fixed node comprises an omnidirectional imaging device, a wireless transceiver and a fixed bolster, while the move node comprises a mobile robot, a wireless transceiver and a cooperative light source. The omnidirectional imaging device on the fixed node can gain the real-time 360-degree scene around, and establish the system of polar coordinates by taking the center of the omnidirectional image as the top. The location of the mobile robot in the omnidirectional image is marked by polar coordinates Rho and Theta. The polar diameter Rho is measured by the wireless distance measuring system through the wireless transceiver on the move node and the wireless transceiver on the fixed node, while the polar angle is measured by the omnidirectional image. The invention is used for complete and independent locating and guiding of the mobile robot, and used for the collaboration and relative positioning sum of a plurality of mobile robots in the scene, which can fulfill the tasks like scene real-time monitoring, as well as scene digitization and visualization, etc.

The invention discloses a hand-drawn map-based intelligent guide and navigation system of an Android system. The hand-drawn map-based intelligent guide and navigation system includes a mobile terminal, an interface server and a data management system; the mobile terminal communicates with the interface server and the data management system through a network; and the mobile terminal includes an interface module, a data storage module, a communication module, a navigation service module and a business logic module, wherein the interface module communicates with the business logic module, the business logic module communicates with the data storage module and the communication module respectively, the navigation service module transmits navigation data to the interface module and the data storage module, and the communication module communicates with the interface server and transmits data to the data storage module. The objective of the invention is to provide comprehensive and effective self-help tourism services for users. The system has a user positioning function, so that autonomous scenic spot speech broadcasting, tour route planning and warning message push can be realized.

The invention provides a remote diagnosis system for a measuring instrument. The remote diagnosis system is composed of a diagnosis repairing layer, a user interface layer, a data processing layer, a local control layer, a bottom hardware layer. A data acquisition layer of the bottom hardware layer collects diagnosis data; after the diagnosis system receives the collected original data, a fault diagnosis model is invoked to carry out a qualitative and quantitative analysis procedure and an analysis result is stored into the user interface layer; the data processing layer carries out analysis processing on the diagnosis data and the data are converted into ones in parametric formats like a text, a histogram, and statistical information and the like; the diagnosis result is displayed by the user interface layer; and for the repairable fault, the remote diagnosis repairing module sends a remote control command, hardware and software states are set based on the parsing transmission of the remote control command, and the fault is repaired.

The invention discloses a PIO-based round orbital space vehicle formation reconfiguration type anti-collision path planning method, and belongs to the technical field of space vehicle attitude control. According to the algorithm, firstly, a spaceflight short-distance relative motion linear C-W equation is used for dynamics modeling; then, a space vehicle formation discrete dynamic equation is usedfor calculating the total fuel consumption of the space vehicle formation; an infinite series method is used for calculating the collision probability between the space vehicles; a corresponding fitness function is built through an exterior penalty function method; then, a self-adaptive geomagnetic factor coefficient is introduced; the original global search and local search capability of the deterrent algorithm is balanced; the flight optimization path considering the fuel consumption and avoiding collision is finally obtained. The algorithm is simple; the formation fuel consumption and collision avoidance factors between the space vehicles are considered under the condition of given initial and final space vehicle formation; the optimization of the space vehicle formation flight path isrealized.

The invention discloses a multi-directional barrier avoiding system of a mobile robot. The multi-directional barrier avoiding system comprises an ultrasonic sensor (1), an infrared sensor (2), a pyroelectric sensor (3), analog signal processing circuits and a central control unit. The ultrasonic sensor (1) is connected to the central control unit through one analog signal processing circuit and an A / D conversion circuit. Analog signals fed back by the infrared sensor (2) are amplified, filtered, subjected to peak extraction and shaped through the other analog signal processing circuit, and then are transmitted to the central control unit after passing through the A / D conversion circuit. The pyroelectric sensor (3) is connected to the central control unit. The multi-directional barrier avoiding system of the mobile robot can quickly detect information of barriers in the external environment in real time, detection dead zones are eliminated, parameters measured by the multiple sensors are used in a complementation mode, and the most authentic external environment parameters can be reliably provided for a robot control center in real time so that the robot control center can optimize advancing lines in real time to enable the robot to quickly avoid barriers.

The invention is applicable to the field of robot track planning technologies, and provides a complicated workpiece track planning and simulating system on the basis of ROS (robot operating system) platforms. The complicated workpiece track planning and simulating system comprises a model description module, a shape processing module, a movement planning module, a simulating module, a track optimizing module, a program generating module and a communication module. Imported three-dimensional workpiece models and three-dimensional robot models can be transformed into URDF data formats by the model description module; workpieces can be divided into triangular patches on the basis of grid algorithms by the shape processing module, and triangular patch information can be extracted by the shapeprocessing module; robot movement tracks can be planned on the basis of the triangular patch information of selected regions by the movement planning module; movement of three-dimensional robots and end actuators on the basis of planned tracks can be graphically displayed by the simulating module, and operation data of the end actuators can be given by the simulating module; the planned tracks canbe optimized via man-machine interactive interfaces on the basis of simulation results by the track optimizing module; optimized robot movement tracks can be transformed into program language by theprogram generating module; the program language generated by the program generating module can be transmitted to robot controllers by the communication module. The complicated workpiece track planningand simulating system has the advantage that tracks of the complicated workpieces can be planned by the complicated workpiece track planning and simulating system.

The invention discloses an intelligent tour-guiding and view-guiding system based on a hand-drawn map; the system includes a mobile terminal, an interface server and a data management system; the mobile terminal is communicated with the interface server and the data management system through the network; the mobile terminal includes an interface module, a data storage module, a communication module, a navigation service module and a business logic module, the interface module is communicated with the business logic module, the business logic module is also communicated with the data storage module and the communication module, the navigation service module transmits navigation data to the interface module and the data storage module respectively, and the communication module is communicated with the interface server and transmits data to the data storage module. The intelligent tour-guiding and view-guiding system based on the hand-drawn map aims at providing comprehensive and effective self-service tourism to users. Because the system has a user positioning function, independent scenery spot voice broadcast, touring route planning and early warning message delivery can be achieved.

The invention discloses a vehicle non-effective traveling track recognition method and urban road facility planning method. The vehicle non-effective traveling track recognition method includes the steps of S1. obtaining vehicle passing data in a specified area and within a specified time period from a checkpoint big data platform; S2. using a corresponding checkpoint position when a vehicle enters the specified area as a starting point of a track, and using a corresponding checkpoint position when the vehicle travels out of the specified area as an end point of the track, thereby obtaining a vehicle traveling track distribution diagram; S3. adopting a vehicle track hierarchical clustering analysis method based on buffer area similarity measurement to analyze a vehicle traveling track, thereby forming a track group; and S4. comparing the track group with an optimal path based on GIS road network data, thereby obtaining a vehicle non-effective traveling track. The advantage of the method is that support is provided for urban road infrastructure planning judgment.

The invention provides a navigation method and a corresponding robot thereof. According to the navigation method and the corresponding robot thereof, when a user needs to navigate to a destination, anavigation task is input to the robot, the robot can obtain the navigation task, and the navigation task includes the destination; and then a navigation topological graph between a navigation startingposition and the destination is determined according to an environment map, the shortest path search is conducted on the navigation topological graph to obtain the shortest topological path between the navigation starting position and the destination, and the shortest topological path between the navigation starting position and destination is planned. In order to improve the search efficiency and real-time in the navigation process, the robot generates a collision-free navigation strategy of the robot according to obtained road environment information, motion parameter information of the robot and the shortest topological path so that the robot can be controlled to complete the navigation task set by the user without collision according to the collision-free navigation strategy.

The invention relates to a vehicle-road network-oriented vehicle-mounted machine system, which is installed on a vehicle and is used to respectively establish communication connections with an information center and a plurality of intersection machines. Each intersection machine is set at an intersection. The system includes a central The processor and the camera module, GPS module, 4G LTE module and 2.4G data transmission module are respectively connected to the central processing unit, the central processing unit is connected to the vehicle adapter on the vehicle, the 4G LTE module is connected to the information center, and the 2.4G data transmission module is connected to the intersection machine . Compared with the prior art, the present invention can communicate with the intersection machine and the information center, realize the cooperative work of the vehicle road network, and has the advantages of small size, high precision, fast query and the like.

The invention provides a depth-first traversal-based feasible path searching method. The depth-first traversal-based feasible path searching method comprises following steps: step 1, approximate trajectory data of each vehicle is obtained based on electronic police vehicle passing data; and step 2, searching for all feasible paths is carried out with depth-first traversal algorithm based on the approximate trajectory data of each vehicle obtained in the step 1. In the depth-first traversal-based feasible path searching method, analysis on each vehicle is carried out based on the electronic police vehicle passing data so as to obtain the moving trajectory of each vehicle; when the electronic police density is large enough, vehicle traveling trajectory can be obtained directly without positioning analysis based on GPS data; and at the same time, the reasonable feasible path between arbitrary two points on a map can be searched via combination of path finding algorithm; and the depth-first traversal-based feasible path searching method can be used for achieving map navigation functions.

The invention discloses an intelligent bus hierarchical decision-making system based on multi-system cooperation. According to the system disclosed in the invention, technologies such as intelligent network joint vehicle control, edge computing and a data cloud platform are adopted; through fusion of multi-source data, information island data can be imported into the same platform, multi-data-source fusion is realized, relations among various kinds of information are fully mined, passenger flow travel is accurately predicted, and effective information input of an intelligent traffic platform is improved; business systems of different levels are intelligently improved; prediction, planning, adjustment and execution of a scientific system are achieved. From the global perspective of a city,comprehensive urban traffic planning can be guided, intelligent scheduling optimization, vehicle driving real-time control and the like are achieved; various systems can be effectively combined, and assistance is provided for bus decision making.

The invention discloses a method for setting trading terms via a figure, especially a method for setting and adjusting the trading terms by utilizing the figure via computer software in the trading of securities and futures. The computer software is used for drawing a curvilinear figure surrounding a future operation area of a candlestick chart of trade types in order to set the trading terms conveniently, visually, concisely and completely. Points on the curvilinear figure have two kinds of attributes which are the time and price of the trading terms. The trading terms can be changed by pulling the curvilinear figure so as to easily achieve the setting and adjusting of the trading terms and assist a trader to achieve automation trade.

The invention relates to smart televisions and provides a method for automatically controlling the focus of a master shot of a smart television. According to the method for automatically controlling the focus of the master shot of the smart television, the overall layouts, established by a system, of the master shot comprises the 2D layout and the 3D layout; within the 2D layout, the system plans the movement path of the focus with a native layout pathing mode of Android; within the 3D layout, the system registers multiple focus control modules, and at least one minimum focus control unit is arranged in each focus control module; during control, whether the minimum focus control unit exists in the direction to be controlled in the module where the focus is located currently is judged, if yes, the movement position of the focus is obtained through detection; if not, the system detects all the modules close to the current position of the focus in the direction to be controlled according to the registration information of the modules; when no focus control module exists on the direction to be controlled, the system switches the 3D layout to the 2D layout. The method is suitable for controlling the focus of the master shot of the smart television.

The invention provides an integrated navigation integrity monitoring system for an UAV (unmanned aerial vehicle). The system comprises an inertial measurement device used for providing zero offset values of different grades of inertial measurement devices for a processor; a receiving machine used for receiving global satellite navigation signals and providing integrity risk of a global satellite navigation system to the processor; and the processor for calculating horizontal protection level of integrated navigation and vertical protection level of integrated navigation, setting a horizontal warning limit and a vertical warning limit, and comparing the calculated horizontal protection level and the vertical protection level with the corresponding horizontal warning limit and the vertical warning limit respectively to monitor integrity of the UAV. The system does not need hardware redundancy to realize the inertial navigation system and can reduce the cost of integrated navigation integrity monitoring.

The invention provides a method for implementing a mobile application public component library of a power enterprise. The method includes the first step of performing analysis by combination with business characteristics of mobile applications in the power industry based on mobile application requirements of the power industry, performing abstract analysis and planning on functional points, and abstracting mobile application public components; the second step of implementing the component library by utilizing the abstracted mobile application public components through a microservice technology, and supporting the operation of each mobile application in the power industry, wherein the component library includes map presentation and navigation, on-site positioning, face recognition, messagepush, and video live components; and the third step of establishing a component library management and maintenance system to evaluate the performance of the mobile application public components and ensure the quality of the mobile application public components. The method has the advantages that the public component planning problem of the mobile applications in the power enterprise is solved, theuniform public component library is formed to support each mobile application of the enterprise, and repeated development of mobile application functions is avoided.

The invention discloses an automatic distribution robot system facing a medical environment. The system comprises a remote operation module, a remote control module and a robot module, an output end of the remote operation module is connected with an input end of the remote control module, and an output end of the remote control module is connected with an input end of the robot module; an outputend of the robot module is connected with a collection module, a motion control module, a data processing module, a communication module and an alarm module separately, and the robot module comprisesa robot body; a base is fixed to the bottom of the robot body, mobile wheels are fixed to the bottom of the base, and a camera is fixed to the top of the robot body; a display screen, a microphone anda storage cabinet are fixed to one side edge of the top of the robot body, and an infrared sensor and a laser radar sensor are fixed to the bottom of the robot body and the same side of the camera and the display screen respectively.

The invention discloses a multi-objective constrained low-altitude unmanned aerial vehicle route planning design method, and belongs to the technical field of civil aviation delay analysis. Firstly, an initial airway point and an airway network are set based on urban low-altitude requirements, then constraints such as conflict constraints, three-area constraints and passage requirement constraintsare introduced, and multi-objective function optimization such as airspace capacity, operation cost and operation safety is achieved by moving the airway point and reconstructing the airway network.Therefore, corresponding unmanned aerial vehicle low-altitude airway networks are designed for different low-altitude environments.

The invention relates to an intelligent entrance guard system for controlling unlocking through a mobile terminal. The intelligent entrance guard system comprises a host unit, the mobile terminal, a controller and a door lock, wherein the host unit, the mobile terminal and the controller are connected in sequence through a mobile communication network; the controller is connected with the door lock through a control wire; the mobile terminal requests and receives an operating ticket from the host unit and transmits the operating ticket to the controller, and the controller controls the door lock matched with the operating ticket to be unlocked. The intelligent entrance guard system realizes coordination and planning of patrolling management as well as feedback and counting of patrolling work; meanwhile, by design of the operating ticket, standardization of unlocking information is realized; higher expansibility is achieved.

The invention provides a joint optimization method for heterogeneous network user access and time domain interference coordination based on the graph theory, and relates to the technical field of communication resource allocation optimization. In order to provide better overall communication quality of the user, the system capacity of a cellular network is increased. The joint optimization method comprises the following steps: linking a macro base station and a micro base station to a total control center; in a user communication initiation stage, obtaining channel information of the user by the base stations through signaling; determining an optional range of ABSF proportions, and sequentially selecting from small to large; once selecting an ABSF proportion, maximizing a target function by the total control center by user access; selecting an access decision through an improved KM algorithm; and comparing the sizes of the optimal target functions under the ABSF proportions, selecting the maximum proportion as the final time domain interference coordination parameter, and selecting the user access method of the maximum target function as the final access mode. The joint optimization method is suitable for a time domain interference coordination and access control joint user in a heterogeneous network with the coexistence of the macro base station and the micro base station.

The invention discloses an optimization design method for improving building site and building indoor environment performance. The method comprises the following specific steps: S1, parametric modeling of a target building group; s2, field outdoor environment performance simulation; s3, building indoor environment performance and energy consumption simulation; and S4, planning of building AI intelligent optimization: intelligent optimization is carried out according to indoor and outdoor environment performance and energy consumption simulation, and a set with good performance of site planning, outdoor environment and indoor environment of each standard layer is acquired. By simulating the relationship between the orientation and the window-wall ratio of the building and the indoor and outdoor environmental performance of the building, the orientation and the window-wall ratio of the building when the indoor and outdoor environmental performance of the building is good are obtained, sothat a building design scheme with good environmental performance of the building is obtained; besides, the orientation of the building influences the site where the building is located, so that planning of the building site is achieved according to obtaining of the building orientation when the building environment performance is good, and planning and improvement of the building site are achieved.