Search and rescue network based on unmanned equipment swarm intelligence algorithm and scheduling method thereof

A technology of swarm intelligence and intelligent algorithm, applied in computing, instruments, data processing applications, etc., can solve problems affecting search and rescue efficiency, secondary accidents, low search and rescue efficiency, etc., to reduce manual intervention, reduce labor costs, and improve search and rescue efficiency Effect

Pending Publication Date: 2019-10-29
DALIAN MARITIME UNIVERSITY
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Problems solved by technology

The entire process of search and rescue operations is based on expert decision-making and command. From decision-makers to search and rescue personnel and equipment, each part is responsible for decision-making, search and rescue command, and on-site search and rescue. The slow information processing process and long decision-making time affect the efficiency of search and rescue.
Manually driven ships are prone to secondary accidents under harsh environmental conditions, and the process of dividing search and rescue areas takes a lot of time, resul...

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  • Search and rescue network based on unmanned equipment swarm intelligence algorithm and scheduling method thereof
  • Search and rescue network based on unmanned equipment swarm intelligence algorithm and scheduling method thereof
  • Search and rescue network based on unmanned equipment swarm intelligence algorithm and scheduling method thereof

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Embodiment Construction

[0041] The specific embodiment of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0042] It should be noted that, in the following specific embodiments, when describing the embodiments of the present invention in detail, in order to clearly show the structure of the present invention for the convenience of description, the structures in the drawings are not drawn according to the general scale, and are drawn Partial magnification, deformation and simplification are included, therefore, it should be avoided to be interpreted as a limitation of the present invention.

[0043] In the following specific embodiments of the present invention, refer to figure 1 , figure 1 It is a hierarchical maritime search and rescue model diagram of the search and rescue network of the present invention,

[0044] A search and rescue network based on the swarm intelligence algorithm of unmanned equipment, including satellites, commu...

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Abstract

The invention discloses a search and rescue network based on an unmanned equipment swarm intelligence algorithm and a scheduling method thereof. The invention provides a complete maritime affair multi-agent joint search and rescue network based on an unmanned equipment swarm intelligence algorithm and a scheduling method. According to the invention, a hierarchical control network system composed of multiple intelligent agents is established. Based on edge calculation and distributed control thought, different tasks such as position determination, path planning and independent search are allocated to various distributed group control agents for calculation according to requirements. The independent calculation decision-making capability of the intelligent algorithm and the intelligent agentis fully utilized. A central control intelligent agent and a group control intelligent agent only communicate with a small amount of necessary information. In the dynamic change process of the network topological structure, data can be intelligently dispatched through the particle swarm optimization according to the forwarding strategy, the network forwarding requirement is met, and the inventionis suitable for offshore low-bandwidth resources and low QoS.

Description

technical field [0001] The present invention relates to a search and rescue method at sea, and more specifically, to a search and rescue network based on a group intelligence algorithm of unmanned equipment and a dispatching method thereof. Background technique [0002] At present, maritime search and rescue operations mainly rely on manpower, including manual decision-making, manual allocation of search and rescue areas, and manual navigation of ships for search and rescue operations. The entire process of search and rescue operations is based on expert decision-making and command. From decision-makers to search and rescue personnel and equipment, each part is responsible for decision-making, search and rescue command, and on-site search and rescue. The slow information processing process and long decision-making time affect the efficiency of search and rescue. Manually driven ships are prone to secondary accidents under harsh environmental conditions, and the process of di...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26
CPCG06Q10/047G06Q10/063112G06Q50/265
Inventor 杨婷婷江志冯海龙高珊周林
Owner DALIAN MARITIME UNIVERSITY
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