Self-adaptive networking method of combat intelligent sensing system

Abstract

The invention discloses a self-adaptive networking method of a combat intelligent sensing system. The method comprises the following steps: through the time-slot self-adaptive time-division synchronous self-networking communication technology designed based on the LoRa technology, taking IPPS of a Beidou / GPS as synchronization standard of a communication network, taking an unmanned aerial vehiclerelay platform as a center node of a communication system and a controller of communication time slot scheduling adjusting, enabling various wireless sensing terminals in the combat intelligent sensing system to perform communication networking according to a pre-designed communication time slot scheduling rule and to perform real-time communication with a far-end data storage analysis system located out of the military battlefield. The information interaction between the wireless sensing terminals and the storage analysis system is realized by adopting the time-slot self-adaptive time-division synchronous self-networking communication technology, the method has the advantages of being flexible in networking, reliable in running, low in communication, far in distance and high in efficiency, and capable of ensuring the instantaneity of the communication and improving the communication successful rate. Through the method disclosed by the invention, the information combat level of the army can be effectively improved, and the actual combat demand under the new environment is satisfied.

Description

technical field [0001] The invention relates to a networking method, in particular to a networking method with good real-time performance and high communication success rate in the communication process of a simulated combat system, and belongs to the technical field of communication. Background technique [0002] To test the results of military exercises and improve the level of combat effectiveness is an essential part of adapting to future information and intelligent warfare. Today, military operations must not only solve the problem of human-machine coordination, but also solve the problem of coordinated operations between man-man, machine-machine, machine-system, and system-system, which is particularly important for personnel information quality training , For example, battlefield situation awareness training, data link combat application training, etc. [0003] With the continuous development of military equipment and technology, system confrontation training is grad...

AI Technical Summary

Problems solved by technology

[0004] At present, the relevant military combat auxiliary perception equipment is relatively backward, and many fields are in a technical gap, making it difficult to meet the requirements of precision, standardization, sensitivity, and high intelligence required by current intelligent military equipment; at present, the communication between training equipment is mainly through point-to-point connections Or star mesh connection, the disadvantage of this networking method is that there is asynchronous data transmission, complex software implementation, poor reliability, each node needs to manage routing information, low data transmission efficiency, large power consumption of nodes, real-time Prominent issues such as sexual difference

[0005] In addition, in the process of traditional soldier training, various information on the training ground is transmitted through communication methods such as WiFi, ZigBee, and wired networks. Although these communication methods are relatively mature, the power consumption of WiFi is high and the communication distance is short, so it is not suitable for use Long-distance communication application scenarios under battery power

Although the ZigBee module has low power consumption, its short communication distance and poor anti-interference ability cannot meet the application requirements.

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