197 results about "Airway" patented technology

The invention provides a remote unmanned aerial vehicle cluster control method and system based on 3G (the 3rd Generation Telecommunication) and GPRS (General Packet Radio Service) cell phone communication and belongs to the technical field of unmanned aerial vehicles. Each unmanned aerial vehicle is provided with an independent unique electronic identification code by integrating a cell phone communication module into a flight control computer board card; as long as the system is started and electrified, the current relevant information of the unmanned aerial vehicle is transmitted to a remote control center; a permission instruction is necessarily applied from a control center for each flight; information such as an airway plan is made uniformly in the control center; and the information is transmitted to an operation terminal of the unmanned aerial vehicle through a cell phone communication module. Consequently the unmanned aerial vehicle cannot fly away without a headquarter control instruction. The state of each unmanned aerial vehicle is fed back to the control center and can be shared with networked data of relevant national supervision departments so as to play roles in unified supervision and scheduling. In addition, the on-site operation personnel do not need professional knowledge such as airway point setup; and the unmanned aerial vehicle can be operated by common people subjected to simple training, so that the problem of staff shortage in unmanned aerial vehicle control is solved.

The invention discloses a UAV route planning method based on a mixed ant colony algorithm. On the basis of the existing UAV route planning research, the present invention adopts the method of combining the ant colony algorithm and the artificial potential field method to carry out the route planning respectively. Global route planning and local route re-planning. Using the mixed ant colony algorithm, the drone first performs global route planning, and needs to make local path re-planning for some corners that cannot fly, so that the drone can successfully bypass obstacles while avoiding its own constraints, improving the efficiency of unmanned aerial vehicles. The operational efficiency and survival probability of the aircraft.

The present invention discloses a method for improving control and detection precision of tidal volume by introducing R value, comprising the steps of: a plateau pressure Pplate is used to calculate a system compliance C with C=ΔV/(Pplate−PEEP); V_T, the tidal volume obtained currently at patient terminal, is calculated with V_T=ΔV×(C−Ctube)/C, wherein ΔV is the variation of tidal volume, PEEP is the positive end expiratory pressure and Ctube is the compliance C of the line. Depending on the calculated V_T, the tidal volume which is actually obtained by the patients during this period, the processing unit calculates the tidal volume V_T′, which the airway is intended to reach during the next expiration period, by V_T′=V_T+ΔV_T×K wherein K is a scaling factor for control and adjustment, V_T is the tidal volume obtained by the patient during the current period, V_Tset is the presetted tidal volume, ΔV_T=V_Tset−V_T. And the processing unit accordingly controls the opening position of the inspiratory valve during the next inspiration period, so as to achieve the purpose of improving control and detection of precision tidal volume.

The invention discloses an improved unmanned aerial vehicle track real-time planning method, which is used for solving the technical problem that the existing unmanned aerial vehicle target tracking track planning method is poor in moving target tracking real-time performance. According to the technical scheme, a flight route is planned in advance according to state information of an unmanned aerial vehicle and a tracked target, and the unmanned aerial vehicle is guided to fly along the preset route. As the tracking target is a maneuvering target, different from global planning flying from thepoint A to the point B, airway planning cannot be completed offline at a time and must be carried out online in real time according to the unmanned aerial vehicle, the position of the target and thelike, flight and planning are carried out at the same time, and a planned airway responds to maneuvering of the target in time. Model prediction control is adopted to replace global optimization withlocal optimization, so that route planning of the unmanned aerial vehicle can respond to dynamic changes of the battlefield environment in time. Due to the fact that local optimization needs to be calculated, near-real-time solving can be achieved, the target is predicted in real time, the position of the target is updated in time, and the real-time performance of route planning is better.

The invention discloses an unmanned aerial vehicle route planning and obstacle avoidance method, which comprises the steps of S1, establishing a two-dimensional space model, and setting space model data according to a flight starting point and a flight ending point; S2, obtaining a global offline air route by utilizing the space model data, and setting a flight air route as a global offline air route; S3, the unmanned aerial vehicle flying along the flight route, and monitoring whether a dynamic obstacle appears on the flight route or not in real time through a sensor; S4, when a dynamic obstacle appears, entering the next step; if no dynamic obstacle appears and the flight end point is not reached, entering the step S3, and if the flight end point is reached, entering the step S8; s5, initializing a pigeon flock algorithm by adopting an adjoint matrix method with constraints, and then performing local airway planning by using the pigeon flock algorithm; s6, smoothing the local air route by using the B spline curve; s7, the flight route being a combination of a global offline route and a local route, and executing the step S3; and S8, completing a flight mission, and ending the process.

An airway assist device and methods of making and using an airway assist device to assist in opening an airway or removing fluid or material obstructing an airway of a subject.

The invention discloses a flight delay prediction method and device and a computer storage medium. The method comprises the steps of obtaining a flight prediction data set, wherein the flight prediction data set at least comprises one of a flight number, a flight control number, a departure airport, the flight takeoff time, a landing airport and the flight landing time; preprocessing the flight prediction data set; training a random forest network model by adopting the processed flight prediction data set; and carrying out airway delay prediction by using the trained random forest network model. According to the invention, an aviation data set is established by receiving an ADS-B message and fusing the information related to flights and airports on the Internet, and on the basis of the data set, a feasible flight delay prediction model is trained, so that the accurate delay prediction can be carried out on the flights with unknown delay. The method and the device are convenient for thetravels, provide the airline company data support and have the potential value.

The invention discloses a ship navigation automatic collision avoidance route planning method and model. The method comprises the following steps: collecting information of an obstacle, a starting point and a destination point, and according to the collected information, when the ship encounters the obstacle in a route planning process, firstly calculating a minimum angle connecting line of the ship capable of avoiding the obstacle, namely a connecting line with a maximum included angle with a test line, and directly recording two possible driving paths on the left side and the right side of the obstacle; and then, when the ship detours along the obstacle, testing each vertex of the obstacle and the middle airway point, respectively calculating and selecting connecting lines with the largest included angles between the left side and the test line and between the right side and the test line, comparing the two connecting lines, and taking the connecting line with the smaller included angle as an alternative route segment to determine a unique route capable of detouring. Compared with the prior art, the ship navigation automatic collision avoidance route planning method and model have the advantages that the route is automatically planned, the requirement of the ship for automatically avoiding collision with obstacles is met, and the method and model have important significance in solving the problems of ship stranding collision and the like and improving marine navigation safety.

The invention discloses a plate bottom flexural-tensile stress monitoring system and method for a existing runway surface structure. The plate bottom flexural-tensile stress monitoring system for theexisting runway surface structure comprises a plurality of fiber grating sensors installed in line light hoes and grounding strip light holes of the runway, an armored fiber, a main optical cable 4, afiber grating demodulator, a main control terminal, a deconcentrator, fiber jumpers and a temperature compensation grating sensor. The plate bottom flexural-tensile stress monitoring system and method for the existing runway surface structure uses a real plane load to act on the runway surface by means of the fiber grating sensors arranged in airway navigation light holes of an airport runway, and collects the grating refracted light wavelength at the position of the measuring point, so as to realize the measurement of the plate bottom flexural-tensile stress of the airport runway; therefore,not only the monitoring and early warning of airport runway surface damage can be realized, but also the problems such as damage to the existing runway surface and suspending air service for detection can be avoided; and the detection accuracy is high and the speed is fast, which has broad application prospects.

A system is used to determine which entry in the NDB should be chosen for similarly named identifiers. It first tries to use waypoints before the ambiguous name to determine which entry to use. If those are not available, the present system will use the aircraft's current position, or, if the aircraft is on the ground, the origin airport as determinative factors. These factors will take into account not having the aircraft's location, when the ambiguous waypoint is to be inserted into the route, and if the waypoint is an airway entry or exit.

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 present disclosure aims to implement UAV (unmanned aerial vehicle) logistics operation and air traffic control in flyable airspace technically through a UAV task planning system, which depends on blockchain technology to carry out UAV air traffic surveillance on flight segments in a predetermined barrier-free airway and optimize air traffic according to a safe separation distance for fewest UAV operators, air traffic controllers, communications links and airborne loads.

The invention discloses a mask fastening system and an anesthesia airway auxiliary management instrument, and relates to a fastening system and an airway auxiliary management instrument. The invention aims to solve the problems that an existing mask pressing mode can not adjust the pressing degree of a mask at any time, so that the mask can not be suitable for different types of patients and leaks. The driving system and a plurality of transmission systems of the mask fastening system are installed in a shell; a tensioning rope is buckled on the mask and stretches into the shell; through the plurality of transmission systems, the head end and the tail end of the tensioning rope are finally contained in the driving system; the driving system drives the head end and the tail end of the tensioning rope to move, the length of the part, which is out of the driving system, of the tensioning rope is changed so as to be converted into the change of force of the tensioning rope fo tightening the mask; and during tensioning, the tension applied to all parts, except the driving system, of the tensioning rope is the same. Two flexible arms are installed on the left side and the right side of the mask fastening system to form the anesthesia airway auxiliary management instrument. The anesthesia airway auxiliary management instrument is used for anesthesia airway auxiliary management.

The invention discloses a method for generating a geometric structure of a low-altitude airway network for safe distance constraint. The method comprises the following steps: establishing an airway network general model; generating a route structure: on the basis of generating a route basic geometric structure, determining basic structure parameters of each route, and calculating to obtain safetydistance constraint conditions of all routes and corresponding isolation belt widths by taking the purpose that the distance between unmanned aerial vehicles in different channels is greater than an obstacle avoidance distance; and generating an intersection structure: on the basis of generating the basic geometric structure of the intersection, calculating to obtain safe distance constraint conditions and corresponding radiuses of all intersections by taking the distance between unmanned aerial vehicles located in the intersection as a purpose of being greater than an obstacle avoidance distance, and updating isolation strip widths of part of airways. According to the invention, the airway network model composed of a plurality of geometric structural bodies can be automatically generated,the pressure of a low-altitude traffic control system is reduced, and safe and orderly operation of air traffic is facilitated.

The invention discloses an airline network planning method and device based on connection matrix optimization, relates to the technical field of airspace planning, and mainly aims to realize conversion and connection of logistics on a line at an intersection point when two airline lines are intersected, i.e., the effect of the intersection point is the same as that of the node. According to the main technical scheme, the method comprises the steps that an airway network matrix is established according to the intersection relation between every two nodes; generating a genetic population according to the airway network matrix, and evaluating each chromosome in the genetic population to obtain a fitness function of the road segment length and logistics transportation cost of the whole airwaynetwork; generating a fitness value of a single chromosome on the basis of the fitness value function through a preset genetic algorithm, and selecting the chromosome with the highest fitness value asan optimal filial generation individual until the whole genetic population is polled; and converting the optimal filial generation individual into a corresponding optimal airway network structure.

The invention discloses an unmanned aerial vehicle intelligent airway planning test method based on metamorphic test technology, comprising the following steps: (1) analyzing an unmanned aerial vehicle intelligent airway planning algorithm, defining a metamorphic relationship, and designing a subsequent test case generator and a result comparator; (2) generating an initial test case set by utilizing a random value method under a certain constraint rule and inputting the initial test case set into the algorithm to obtain initial output of test cases; (3) taking the initial test case set and theinitial output as inputs and obtaining a subsequent test case set and a corresponding subsequent output through a subsequent test case generator; and (4) inputting an initial output result and a subsequent output result into a result comparator. If a corresponding metamorphic relation is met, the test is passed, and no defect is found; otherwise, an unmanned aerial vehicle intelligent route planning algorithm has defects. According to the invention, the problem of lack of Oracle in unmanned aerial vehicle intelligent route algorithm testing can be alleviated, the generation of test cases canbe guided, and the utilization rate of the test cases can be improved.

The invention discloses a multi-region thunder and lightning early warning system and method based on real-time data analysis, relates to the field of civil aviation air traffic control, and the system and the method are used for solving the technical problems that in the prior art, the detection distance is short, the detection efficiency is low, only meteorological services around airport runways can be provided, and airway meteorological services cannot be provided. By collecting thunder and lightning data and state data of thunder and lightning monitoring stations in real time, analyzing and processing mass data in time, calculating thunder and lightning data of thunderstorm and surrounding thunder and lightning data, and making thunder and lightning strong cable early warning and monitoring area thunder and lightning contact line warning, the operation state conditions, thunder and lightning data situations and thunder and lightning strength trends of all current thunder and lightning stations are known in time. By using the system, the thunder and lightning activity can be effectively monitored and early warned, and the warning accuracy is high. The system can effectively reduce the shutdown time, protect the safe flight of an airplane, improve the operation efficiency and reduce the probability of lightning strike injury events of outdoor personnel.

The invention discloses a radar sea surface low-altitude detection performance simulation method and simulation model. The model comprises a free space maximum action distance calculation module whichis used for calculating the free space maximum action distance of a radar for target detection through a radar equation, a sight distance and interference area far-field calculation module which is used for solving the interference area far-field distance, an interference region and diffraction region propagation factor calculation module which is used for calculating an interference region propagation factor and a diffraction region propagation factor, an airway signal-to-noise ratio calculation module which is used for calculating an echo signal signal-to-noise ratio and a free space signal-to-noise ratio of each point of the sea surface low-altitude target airway in an interference region and a diffraction region, and a low-altitude detection performance graph drawing module which is used for drawing a low-altitude detection performance curve graph according to the echo signal signal-to-noise ratio and the free space signal-to-noise ratio of each point position of the target airway. Compared with other conventional models, the established simulation model provided by the invention has more real and accurate simulation result and higher application scene adaptability.