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A dynamic management method and platform for autonomous unmanned swarms
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A dynamic management and clustering technology, applied in the field of cluster management, can solve problems such as unstable wireless communication network, inability to adapt to high delay, lack of efficiency and good robustness, etc., to improve development efficiency and robustness Rodness, good adaptability, and the effect of improving management efficiency
Active Publication Date: 2020-10-02
NAT INNOVATION INST OF DEFENSE TECH PLA ACAD OF MILITARY SCI
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Problems solved by technology
[0005] The current traditional methods are not efficient and robust, and cannot adapt well to high-latency, unstable wireless communication networks, and thus cannot provide good support for upper-layer cluster application development
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Embodiment 1
[0054] An autonomous unmanned swarm dynamic management method, such as figure 1As shown, the method includes:
[0055] Step 1: Judge the state of the unmanned control node through the heartbeat packet data sent between the unmanned control nodes;
[0056] Step 2: Determine whether to update the master node based on the status of the master node;
[0057] Wherein, the unmanned cluster includes: a plurality of unmanned control nodes connected by communication and a ground control system, and the unmanned control nodes include: a master control node and a common node.
[0058] Unmanned control nodes are remote-controlled unmanned individuals, such as drones, unmanned vehicles, remote-controlled submarines, and remote-controlled vehicles.
[0059] The centralized master control node is responsible for the management of the unmanned cluster platform, including group task redistribution and processing synchronization and arbitration requests of other unmanned platforms, etc. The m...
Embodiment 2
[0083] Based on the same inventive concept, the present invention also provides an autonomous unmanned swarm dynamic management platform, including a plurality of unmanned control nodes connected by communication and a ground control system;
[0084]The unmanned control node is used for: judging the state of other unmanned control nodes based on the received heartbeat packet data; it is also used for determining whether to update the master control node based on the state of the master control node when the communication state is smooth;
[0085] The ground control system is used to determine whether to update the master control node based on the state of the master control node when the communication status is abnormal;
[0086] Wherein, the unmanned control node includes: a master control node and a common node.
[0087] The unmanned control node includes: a construction module, a judgment module, and a first update module;
[0088] The building block is used to pre-build a...
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Abstract
The invention discloses an autonomous unmanned cluster dynamic management method. The method comprises the following steps: judging the state of an unmanned control node through heartbeat packet datasent between unmanned control nodes; determining whether to update the master control node based on the state of the master control node, wherein the unmanned cluster comprises a plurality of unmannedcontrol nodes and a ground control system which are in communication connection, and each unmanned control node comprises a main control node and a common node. According to the technical scheme provided by the invention, a distributed and centralized combined autonomous unmanned cluster organization structure is adopted, the group management efficiency is improved, and the influence of a single-point fault is avoided.
Description
technical field [0001] The invention relates to a cluster management method, in particular to an autonomous unmanned cluster dynamic management method and a management platform. Background technique [0002] In recent years, with the rapid development of automatic control, information technology and computing technology, the application of unmanned platforms (various robots, drones, unmanned vehicles, etc.) has become more and more extensive, and the cost has become lower and lower. Due to the improvement of autonomy and intelligence of unmanned platforms, it is possible for them to perform complex tasks. At present, unmanned weapons and equipment represented by drones have been widely used in actual combat missions and become the key to improving combat effectiveness. component. The formation of autonomous unmanned swarms by multiple heterogeneous unmanned platforms can not only form advantages in quantity and scale, but also achieve complementary advantages through mutual...
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Application Information
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