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

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...

AI Technical Summary

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, resulting in low search and rescue efficiency

Maritime and land communications rely on the GMDSS (global maritime distress and safety system) system, and use subsystems such as satellite communications, terrestrial radio communications, and maritime safety information broadcasting to serve maritime search and rescue activities. The transmission efficiency is low, the bandwidth of the GMDSS communication system is limited, and the lack of a certain forwarding strategy makes it impossible to complete the forwarding and scheduling of various types of information

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