7results about How to "Improve combat efficiency" patented technology

The invention relates to the technical field of control towers, and particularly discloses an armed police anti-riot vehicle combat control tower which comprises a control tower body arranged at the upper end of a vehicle roof, a pivotal bearing arranged between the control tower body and the vehicle roof, a driving device arranged at the upper end of the vehicle roof, and a locking device arranged on the inner side of the control tower body. And the first camera and the second camera are arranged at the upper end of the weapon and the inner side of the control tower body correspondingly, and the remote operation module is used for controlling the driving device, the weapon, the first camera and the second camera. The combat control tower has two modes of in-vehicle operation and out-vehicle operation, in-vehicle weapon control further ensures the safety of operators, the safety and combat efficiency of armed police during task execution are improved, the rotation of the control tower body is adjustable, the control tower body is matched with the positioning function of the locking device, the rotation flexibility and the positioning stability of the control tower are well balanced, and the control tower is high in practicability. And the requirements on observation and attack angles in different combat scenes are met.

The application discloses an edge air defense node task allocation method and system based on a genetic algorithm and a contract net method, and particularly relates to the following steps: establishing a target threat degree estimation and task allocation model; using an improved hybrid single-parent genetic algorithm to calculate a multi-platform cooperative task allocation problem through integer coding+dynamic double population, tournament selection+reverse order crossover+adaptive mutation genetic operator design, combined with an elite pool update and a mutation strategy triggered by concentration degree of a simulated annealing criterion; and using an improved contract net method to realize dynamic air defense task re-allocation by extending a contract protocol process, introducing a multi-Agent cooperative architecture, designing a consistency auction algorithm and a dynamic bid correction rule, and combining a load-sensitive contract exchange mechanism in view of problems encountered in executing tasks by air defense platforms in emergency situations. The application can rapidly and effectively perform multi-platform cooperative air defense task allocation, dynamically adapt to environmental changes, and improve multi-platform cooperative air defense task combat effectiveness and combat efficiency.

The invention relates to the technical field of intelligent fire fighting and special vehicle cooperative control, and discloses a perception information sharing and cooperative decision-making system for a special vehicle cluster, and the system comprises an acquisition module which is disposed on each fire fighting vehicle of the vehicle cluster; the image processing module is used for acquiring the fire area of the fire point image through image recognition; the state judgment module is used for obtaining a fire point danger index according to the fire area and the environment wind speed, and correcting the fire point danger index according to the environment temperature change information within the preset duration; the information sharing module is used for displaying the vehicle information and the danger index final value of each vehicle on a map; and the central control module is used for judging whether support of other fire-fighting vehicles in the vehicle cluster is needed or not according to the danger index final value and the water tank liquid level, generating a support instruction and sending the support instruction to the corresponding fire-fighting vehicle. According to the invention, real-time cooperative sensing and intelligent linkage of the fire-fighting vehicle cluster to the fire behavior and the self state are realized.

The utility model discloses a kind of super high-speed micro unmanned boats, including hull, the hull includes power cabin, battery cabin, explosive cabin and bow tip cabin, motor and jet pump propeller are included in power cabin, the transmission shaft of motor is connected with jet pump propeller, power battery is installed in battery cabin, explosive is arranged in explosive cabin, impact fuze is set in the bow of bow tip cabin, and non-radar navigation system, control console and torpedo loading and release system are equipped on the hull. The torpedo is double-fixed by two ways of physical support and electromagnetic adsorption, the stability of 10 to 20kg torpedo in high-speed navigation is guaranteed, it can be quickly lowered when releasing torpedo, the release of torpedo can be ensured quickly and reliably, and the combat safety of unmanned boat is improved.

This utility model discloses a team-based collaborative combat simulation robot, belonging to the field of robotics technology, including a perception system, a decision-making system, a motion system, a weapon system, and a communication system. The perception system acquires information about the robot's surrounding environment and its own state. The decision-making system formulates execution plans based on the environmental and state information, including action and confrontation decisions. The motion system executes actions based on action decisions. The weapon system performs confrontation tasks based on confrontation decisions. The communication system enables information exchange. This utility model achieves this by: accurately capturing information through the perception system to provide a basis for decision-making; efficiently generating plans through the decision-making system; flexibly executing actions through the motion system; accurately completing confrontation tasks through the weapon system; and ensuring information exchange through the communication system. The coordinated operation of these systems enables the robot to perform tasks effectively in complex scenarios, improving overall combat effectiveness and adaptability.

The application provides an infrared-optical fusion scene semantic description method and device based on a large model, and belongs to the technical field of image description and computer vision. The method comprises the following steps: inputting a visible light image pair and an infrared image pair obtained to a preset scene description model to obtain an initial scene description sentence of the image pair; inputting the infrared image of the image pair to a preset target detection model to obtain the category of each target detection frame corresponding target in the infrared image, and the center point coordinates and relative size of the target; inputting the above information to a large language model with prompt optimization completed, and the large language model outputs a final scene description sentence corresponding to the image pair. The target detection technology and the scene description technology are combined through the large language model technology, the defects that the previous image description model cannot be applied to a dark light scene or is not accurate in description can be overcome, and especially, the scene description can be generated accurately and in detail under insufficient light, so that the application value is high.