Intelligent unattended sensor system and target identification method

Abstract

The invention discloses an intelligent unattended sensor system, which comprises a power supply conversion unit, and a seismic detection unit, a signal processing unit, a data processing unit and a communication unit which are connected in sequence, the seismic detection unit is used for converting a vibration signal into an electric signal, the signal processing unit is used for converting the electric signal into a digital signal, and the data processing unit is used for analyzing and processing the digital signal to obtain a target identification result. The invention also discloses a target identification method based on the system. The method comprises the following steps: S1, the seismic detection unit is used for converting a vibration signal into an electric signal; s2, the signal processing unit is used for converting the electric signal into a digital signal; s3, the data processing unit is used for processing the digital signal to obtain an identification result; and S4, the communication unit is used for outputting a target identification result. The system has the advantages of flexible layout, good concealment, high recognition rate, multiple recognition types, strong interference resistance, good integration, all-weather work and the like.

Description

technical field [0001] The invention mainly relates to the technical field of target detection, in particular to an intelligent unattended sensor system and a target identification method. Background technique [0002] With the development of information technology, the security early warning in important and key areas is developing in the direction of networking, digitization, intelligence and the combination of multi-technical means. From "civil air defense combined with physical defense" to "technical defense" in the last century, the development has experienced the first generation of security early warning technology, to the second generation of early warning technology characterized by signal-driven, and is now gradually transitioning to target-driven. The third generation of early warning technology. [0003] The second-generation "signal-driven" security early warning technology is mainly represented by traditional vibrating optical fibers, leaking cables, infrared ...

AI Technical Summary

Problems solved by technology

[0006] 1) Currently commonly used technical means such as electronic fences, infrared beams, and vibrating optical cables are susceptible to interference and have a high false alarm rate. Sandstorms, vehicles, animals, rolling stones / falling rocks can all trigger alarms, and it is impossible to distinguish target types (small animals, people, vehicles, falling rocks, etc.);

[0007] 2) Commonly used video, radar and other equipment have a limited viewing distance, are easily affected by rain and snow, are easily blocked under complex terrain, and are not easy to find concealed / camouflaged and underground excavated targets;

[0008] 3) UAVs are constantly moving in the monitoring area. Although they can continuously update local monitoring information through autonomous coordination, it is difficult to maintain uninterrupted monitoring of "points of interest". At the same time, UAVs have limited battery life and cannot provide continuous uninterrupted monitoring. Capability, increasing the number of drones will face complex multi-machine cooperative control problems;

[0009] 4) In mountainous areas / wastelands and border areas far away from cities and towns, these areas have complex topography and no infrastructure guarantee, and it is difficult to deploy and install radar, video, vibration optical fiber and other systems, and their self-protection capabilities are poor, and the targets are eye-catching and easy to be found. Evasion and destruction, and it is difficult to achieve cooperative perception between devices due to the inability to cover power supply and communication networks

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