69results about How to "Excellent path" patented technology

The present invention provides a traceability method for air pollutants based on a longicorn beetle search algorithm, which is used to realize fast and accurate positioning of air pollutants when wind direction information is unknown. At present, most of the existing odor source location algorithms need to rely on wind direction information to search against the wind to track the plume. They are highly dependent on wind direction information, and the actual wind speed and wind direction fluctuate greatly, which affects the diffusion of odor sources in the air. Larger, at this time, referring to the wind direction information and using the wind direction to locate the odor source, the search effect is poor, and the robot in the search process is likely to fall into a local optimum, and the search efficiency is low. The air pollutant traceability method is based on the beetle's beard search algorithm. Gas sensors are installed at the left and right ends of the drone to read the pollutant concentrations at the left and right ends of the drone in real time. The position of the next step of the machine, and then continue to iterate, gradually approaching the source of pollution. Without relying on wind direction information, this algorithm effectively avoids the UAV from falling into a local optimum during the search process, and accurately and quickly locates the location of the pollution source.

A lightweight, plastic coated component is in the shape of a three-dimensional shaped part with a metal layer provided with access apertures through which the plastic may flow. The component includes stiffening ribs created by the plastic that are positioned within hollow areas of the three-dimensional shaped part, and whose plastic extends through the apertures of the metal insert. The component is formed as a metal insert spray-covered with plastic for the purposes of optimizing the plastic spray process and to achieve an inner bond between the metal insert and the stiffening ribs. The metal insert includes a large number of evenly-distributed holes, and these holes form a flow resistance and also a flow enabler for the molten mass of plastic during spraying. There are projections present at each of the holes that are covered by the plastic coating. The stiffening ribs facing away from the sprayed side have a connecting cross-section that extends into the metal insert via a number, or a large number, of holes in the metal insert.

The invention discloses a multi-policeman cooperative hunting task allocation and path planning method under road network constraints. The method comprises the following steps: 1) obtaining a road topology map G of a road network; 2) acquiring police officer distribution information and task target position information in a road network G; 3) determining a next possible node set of the task targetaccording to the position where the task target appears in combination with the road topological map; 4) obtaining the moving speed of each policeman and the task target; 5) determining a police officer set to be allocated according to the interception point set and the moving speeds of the police officers and the task targets; 6) calculating the congestion degree of each intersection in the interception point set; 7) establishing a multi-policeman cooperative hunting task allocation and path planning optimization model under road network constraints; 8) solving the optimization model to obtain a multi-policeman cooperative hunting task allocation and path planning scheme. According to the multi-policeman cooperative hunting task allocation and path planning method based on the road network constraint, the multi-policeman cooperative hunting task allocation and path planning scheme is obtained by establishing the multi-objective optimization model, the policeman is reasonably allocated to each hunting point, and the hunting efficiency is effectively improved.

The invention discloses a traffic information distribution method capable of eliminating oscillation, which includes the steps of: 1) installing traffic flow detection equipments on all traffic monitoring stations to record the parameters of the traffic flow; 2) computing the vehicle traveling OD(Origin-Destination) information at traffic diversion junctions through the OD backstepping technique; 3) computing the expected load level of a road section and estimating and comparing the expected load of the road section with the load level of an alternative road section; and 4) computing the fluctuation of the distributed information through a driver stimulation reaction model and building an information distribution dynamic area to distribute the information. With the method, the routes of the travelers can be optimal, and the benefit of the road network can be the maximum at the same time, smooth traffic circulation of the road network is ensured in time and traffic oscillation is reduced as much as possible.