282results about How to "Arrive quickly" patented technology

The invention discloses a social network-based vehicle-mounted self-organization network routing method and belongs to the technical field of a vehicle-mounted wireless network. The method comprises the steps of (1) utilizing neighbor node information to calculate the direction angles and the effective values of nodes; (2) adopting a greedy algorithm added with a cache mechanism for the nodes on a road section, wherein intersection nodes adopt the neighbor nodes with the maximum effective values larger than those of the current nodes in an angle threshold value range as the next-hop transmission relay; (3) enabling vehicle nodes to study from the self history transmission actions by a Q learning algorithm assisted by a routing algorithm, wherein the nodes select the neighbor nods enabling a reward function to achieve the maximum convergence value as the next-hop transponder. The complexity of the routing algorithm is reduced, the system cost is reduced, and the Q learning algorithm is used for assisting the routing selecting, so the data packets are enabled to be transmitted along the path with the minimum hop number, and the time delay is reduced; the delivery rate of the data packets is improved and the end-to-end time delay and the consumption of system resources are reduced.

The invention provides an unmanned aerial vehicle cruising and monitoring system for forest fire. The weight of the unmanned aerial vehicle is reduced, flight time is prolonged, an unmanned aerial vehicle cruising range is enlarged, route planning is carried out for fire monitoring, and an unmanned aerial vehicle flight control system is combined with a geographic information system. The route planning not only guarantees monitoring quality and monitoring full coverage but also considers the hardware parameters and the flight safety of the cruising unmanned aerial vehicle, a rotary head carries a thermal infrared imager and a colorful high-definition camera, the thermal infrared characteristics of the image of the forest fire are fully utilized, and an automatic monitoring and identification method for forest fire information is designed. Even if the forest fire monitoring distance of the unmanned aerial vehicle is long, fire characteristics can be accurately captured. A colorful high-definition image is compressed and transmitted back to a ground command post, a high-definition fire video image can be quickly transmitted to the ground, a fire position can be accurately reported, so that convenience is brought to the ground command post in accurately judging a fire situation and organizing people to fight the fire, and precious fire-fighting time is saved.

The invention provides a real-time road condition information displaying method, which relates to the field of the service application of urban traffic information and aims to accurately, concisely and directly display instant traffic information so that a driver or a user can quickly know and recognize the expressed real-time road condition information. The real-time road condition information displaying method comprises the following steps: determining a current position and acquiring the real-time road condition information of a current moment where the current position is, wherein the real-time road condition information comprises real-time traffic flow information, traffic event information and travelling time; selecting a target road of which the road condition information is to be expressed, and generating a synoptic road network map comprising the target road and marked with part of important address names; and displaying the real-time road condition information at corresponding positions on the synoptic road network map. The invention also provides a real-time road condition information displaying device. The method and the device can be used for displaying the real-time road condition information.

The invention provides a robot control method based on an off-line model pre-training learning DDPG algorithm, and the method comprises the following steps: collecting the training data of a 2D dummy in an off-line environment, and carrying out the preprocessing of the training data to obtain a training data set; constructing and initializing an artificial neural network and initializing parameters; pre-training the evaluation network and the action network offline by using the training data set; initializing a target network by using the pre-trained evaluation network, and storing state conversion data into a storage buffer by the intelligent agent to serve as an online data set for training an online network; training an online strategy network and an online Q network by using the online data set, and updating the online strategy network and the online Q network by using a DDQN structure; carrying out soft updating, and controlling the state of the 2D dummy. According to the method, the efficiency is higher, the generated Q value is more accurate, the average reward value is higher, the learning strategy is more stable and reliable, the convergence rate is increased, the obtained accumulated reward value reaches a higher level, and the robot can quickly arrive at the destination.

The invention relates to an accurate navigation method, and belongs to the technical field of location service. The method comprises the following steps: displaying an accurate navigation interface when a user is located in a specified range away from a preset destination, wherein the accurate navigation interface shows a map containing the preset destination as well as interest points located inthe specified range away from the preset destination; receiving an accurate destination which is further selected by the user according to the accurate navigation interface; and performing accurate navigation service according to the accurate destination. The embodiment of the invention further provides location service equipment for realizing accurate navigation. By utilizing the method and the equipment, when the user is located in the specified range away from the preset destination, the user can require the accurate navigation service; and after an accurate navigation service indication from the user is received, the accurate navigation service can be provided to the user so that the user can more quickly and more accurately reach the actual destination where the user intends to go.

The invention discloses a blind guiding system. The system comprises a voice recognition module, a radio frequency identification module, a main control module and a voice processing module, wherein the voice recognition module is used for receiving voice information containing a destination address; the radio frequency identification module is used for identifying address information preset in a radio frequency identification tag on a blind way; the main control module is used for matching route information for a user according to the destination address in the voice information and the address information in the radio frequency identification tag; and the voice processing module is used for outputting matched route information to the user through voice. The embodiment of the invention can provide guidance for the blind more conveniently and enables the blind user to avoid walking for more distance and meeting with barriers so as to reach a destination rapidly.

The invention discloses an intelligent vehicle trajectory planning method based on an improved artificial potential field. The method comprises the steps of acquiring intelligent vehicle information,obstacle information and road boundary information; determining the position of a target point; establishing a road rectangular coordinate system and a vehicle equivalent model, and establishing a collision constraint condition of the intelligent vehicle and the road; establishing an obstacle repulsion potential field and a target gravitation potential field according to the intelligent vehicle information, the obstacle information and the target point position; establishing a balance equation of the intelligent vehicle according to the action of force borne by the intelligent vehicle in a composite field formed by all obstacle repulsion potential fields and target point gravitation potential fields; and solving the balance equation to obtain coordinates of a series of points, and connecting the points by using a smooth curve to obtain a safe and feasible driving track of the intelligent vehicle in a planning period. According to the method, static obstacles and dynamic vehicle obstacles are effectively avoided, and the vehicle approaches a target more quickly, so that a safe and feasible optimal track is obtained.

The invention discloses an underwater robot control system and a dynamic positioning method, and provides a modular control system which can achieve both floating and crawling functions and an underwater robot dynamic positioning method based on an adaptive unscented Kalman filtering state observer and a multivariable and multi-modal fast nonsingular terminal sliding mode controller which can improve the stability of underwater robots. An adaptive unscented Kalman filtering algorithm adopted has a better tracking filtering effect under the influence of factors such as external interference, physical characteristics of acceleration and artificial manipulation, has better robustness for uncertain models, and has high state estimation precision. An underwater robot can arrive at a specified place more quickly and steadily within the thrust range of a propeller, and the thrust compensation can be properly reduced in the area near a target location, so that the underwater robot can make small adjustments to ensure the positioning accuracy.

The invention discloses an underwater robot control system for detection and operation. The underwater robot control system comprises a water surface control system and an underwater control system, the water surface control system is placed on a bank side or a mother ship, and the underwater control system is installed on an underwater detection and operation robot; the water surface control system includes a water surface control panel, a water surface communication transceiver, an umbilical cable, and VR glasses; and the underwater control system includes an underwater communication transceiver, an ARM9 main controller, an ARM-M0 alternate controller, an underwater power supply module, a power supply security detection module, a water leakage detection module, a first low voltage powersupply, a communication module, a second low voltage power supply, a download port, a pan-tilt camera, a sensor module, an underwater lamp, a mechanical hand, and a propeller control module. The underwater robot control system for detection and operation has the advantages of multi-function and modularization, and is convenient to install or disassemble; and the water surface control panel has anemergency stop function and is provided with a wirelessly connected tablet computer for mobile monitoring and positioning.

The invention discloses a dynamic positioning method using an underwater detection and operation robot. The method solves the problem of uncertainty caused by a reason that dynamic positioning is disturbed by waves, and in combination with the developed novel underwater detection and operation robot, based on a hydrodynamic digital simulation recognition parameter method, a dynamic model is established for dynamic positioning analysis of six degrees of freedom. The position and the heading of the underwater robot are acquired via a sensor, the state of the underwater robot is estimated in real time by adopting an adaptive unscented Kalman filter algorithm, the thrust is compensated by adopting non-singular terminal sliding mode control to reduce the influence of random such as waves and the like, and a force and torque distribution strategy is designed according to the positioning error. The method has a good dynamic positioning effect, and can quickly adjust the dynamic distribution strategy after disturbance to reduce the negative effect of the disturbance.

The invention discloses an underwater auxiliary oil recovery control system and a dynamic positioning method thereof. Focusing on an uncertainty problem that a motion of the underwater auxiliary oil recovery robot is interfered by ocean current, combining the manufactured underwater auxiliary oil recovery robot, the invention establishes a dynamical model based on a fluid dynamic numerical simulation identification parameter method and performs six-degree-of-freedom dynamic positioning analyzing. A position and a heading of the underwater auxiliary oil recovery robot are obtained by a sensor;a state of the underwater robot is estimated in real time by adopting an adaptive unscented Kalman particle filtering algorithm based on a hybrid genetic algorithm-Markov chain Monte Carlo method (GA-MCMC); a fast terminal reaching law is introduced into a non-singular fast terminal sliding mode control to compensate thrust, so that influence caused by interference such as the ocean current is reduced; and then a force and torque distribution strategy is designed according to a positioning error. The method has a good dynamic positioning effect, and can quickly adjust the dynamic distributionstrategy after being interfered in order to reduce the interference impact caused by random ocean current.

The invention relates to a user interface navigation system and method used for a smart home system. The method comprises the following steps: using a first gesture to select room pages indicative of different rooms; using a second gesture to magnify a target room page and enter the target room page; using a third gesture to select a control type page which comprises different types of control in the target room page; operating a control icon on the control type page to control a corresponding household electric appliance; and using a fourth gesture to minify and exit the target room page.

The invention discloses an energy consumption managing system and method for a large-sized public building. The system comprises a wireless sensing network node, a WIA (Windows Image Acquisition) wireless gateway and a system server, wherein the wireless sensing network node is in signal connection with the WIA wireless gateway; and the WIA wireless gateway is in network connection with the system server. System nodes are constructed into a network, a networked scale effect is achieved, and online monitoring can be performed on all energy consumption data and environmental information in the large-sized public building; moreover, a large quantity of data can be analyzed and counted to form an effective control strategy; and illumination and air-conditioning parameters can be optimized more effectively under the condition of ensuring comfort degree, so that optimal energy conservation is achieved.

The embodiment of the invention relates to the robot field, and discloses a path planning method and a robot. The path planning method includes the steps: acquiring an environment map, and carrying out block division on the map according to the current map information; according to the information of each block, grading the blocks; and determining the target position, and according to the grade of each block, planning the path of the robot from the current position to the target position. The path planning method performs block division on the map and obtains the grade of each block, and then according to the grades, the robot can clearly know about where allow walking and where not allow walking and where are more clear in the surrounding environment. After knowing about the surrounding environment, the robot plans the path from the current position to the target position. Therefore, the path planning method enables the robot to avoid obstacles and the areas prohibiting the robot to walk, thus being conductive to improvement of reliability of the planned path, and being able to guarantee that the robot can quickly and smoothly arrive at the target position.

The invention discloses a method and a device for mobile treatment on plasma dangerous waste. The method and the device solve the technical problem of treatment on dispersed organic pollutants. The method comprises that dangerous waste in a dangerous waste field is fed into a plasma reactor in a container of a lorry trailer, and then is cracked and gasified into cracked gas and carbon black in microseconds. The device for mobile treatment on plasma dangerous waste comprises a feeding system, the plasma reactor and a flue gas cleaning system arranged in the container of the lorry trailer. Compared with the prior art, the method and the device realize mobile treatment on dangerous waste, have high treatment efficiency and a low cost, realize effective on-site treatment on dispersed, high-toxicity, small-batch and high-concentration liquid organic pollutants and gaseous pollutants, avoid transfer of dangerous waste, improve economical efficiency and safety, and are suitable for emergency treatment on a scene suffering from a dangerous waste environmental accident.

The invention belongs to the technical field of rescue equipment, in particular to an intelligent lifebuoy robot. Including the buoy ring body, power drive device and remote control device; the buoy ring body is a non-closed ring, with the open end as the tail; the power drive device is set in the buoy ring body to drive the buoy ring body to move; the remote control receiver of the remote control device is set It is inside the buoy body and connected with the power drive device, and the remote control transmitter operates the power drive device remotely. Rear rescuers can remotely control the body of the buoy to approach the rescued person through the remote control device, and turn the direction of the tail opening towards the rescued person, and can smoothly half-embrace it inside the buoy body, and then pull the rescued person back through the rope, or Remote control open back. The invention has a simple structure, replaces the rescuers, reaches the trapped persons quickly and safely, and rescues the drowning or trapped persons.

The invention discloses a mobile terminal-based taxi calling system and a mobile terminal-based taxi calling method. The system comprises a handheld mobile terminal, an information management server and a vehicle-mounted mobile terminal, wherein the handheld mobile terminal transmits the current position information of a user to the information management server; the information management server is used for receiving the current position information, converting the current position information into regional broadcasting information and transmitting the regional broadcasting information to the vehicle-mounted mobile terminal; and the vehicle-mounted mobile terminal receives the regional broadcasting information, and displays the current position of the handheld mobile terminal. The method comprises that: a passenger transmits the current position information to the information management server by utilizing the handheld mobile terminal; the information management server transmits the regional broadcasting information corresponding to the current position information to a taxi in a region; and the taxi receives the regional broadcasting information, and starts for the position of the user to pick up the passenger. By the system and the method provided by the invention, a help in contacting the taxi without any passenger can be provided for the user to satisfy the travel needs of the user.

The invention discloses a dynamic sighting device for a gunner sighting lens of a self-propelled anti-aircraft gun and belongs to the technical field of gun observation and sighting. When a gunner emergently operates a gun, the dynamic sighting device is used for receiving target information or lead data sent by a fire control computer, resolving a coordinate value of an electron cursor in real time and generating a video signal which is controlled by a dynamic coordinate, and then a display is used for converting the video signal into a visible image and amplifying and projecting the visibleimage onto the partition plane of the gunner sighting lens by virtue of a projecting system, so that a dynamic electron cursor appears in the visual field of the gunner sighting lens. The dynamic sighting device is used for solving the technical problems that the reaction speed is low, the sighting precision is low and the lead error is big when the gunner emergently operates the gun by using a traditional sighting lens. The probability of grasping combat opportunity of the gunner is improved, the mental work intensity and spirit pressure of the gunner are relieved and the error rate of the gunner is also greatly reduced.

The invention discloses an information processing system for rapid determination of forest fires, which comprises three observation towers, a command center and a communication system. Devices which are carried on each observation tower comprise a high-precision photoelectric angle detection unit, a panoramic observation unit and a positioning and communication device. The positioning of forest fire areas adopts a three-station redundant measurement technology. The information processing system adopts a GPS/Beidou dual-module positioning technology to enable static positioning accuracy to reach millimeter grade, and utilizes the communication function of the Beidou system to send measured data to the command center which can rapidly calculate the position of the fire area by combining GIS software and database after receiving the data. The information processing system can rapidly and precisely locate positions of fire areas and has very large practical application value for forest fire fighting and rescue work.

The invention discloses a path planning method based on an improved A* algorithm, and belongs to the field of unmanned driving path planning. An existing path planning method cannot deal with various conditions and cannot accurately perform global path planning due to temporary dynamic obstacles. The path planning method based on the improved A* algorithm comprises the steps: processing a collected road condition map through a grid method, and obtaining a grid map; then, optimizing and improving the A* algorithm by using an ant colony algorithm; then, carrying out local path planning by an artificial potential field method, and carrying out improvement and optimization aiming at the defect that a local minimum value and a target of the artificial potential field method are unreachable; afterwards, combining the improved A* algorithm and the artificial potential field method to design a mixed path planning algorithm, and providing a proper control algorithm for subsequent vehicle path planning; and afterwards, adopting a proper path planning algorithm, automatically planning a feasible path by the system, and enabling the vehicle to avoid an obstacle according to the path, so as to enable the vehicle to accurately and quickly reach the target position.