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重大灾难中受困人员的生命探测和辅助救援系统设计与实现

作者:优质期刊论文发表网  来源:www.yzqkw.com  发布时间:2019/10/10 9:35:43  

摘要:重大自然或事故灾难不紧造成大量的经济损失、社会秩序混乱和生产停滞,更严重的是让许许多多的人们失去了亲人,造成家庭破坏和心理伤害,这些往往比直接经济损失更大。考虑到在灾害死亡人员中,很大一部分人员的死亡是由于坍塌建筑物的压砸,且得不到及时救援。因此本文利用救援人员无法抵达的黄金救援真空期,实现对坍塌建筑物下的受灾人员进行生命探测和辅助救援。

本文的系统采用二层网络结构,由辅助救援飞行器和数据汇聚站组成,主要做了以下工作:

1. 声音信号是救援人员进行搜救的重要信息来源之一,因此提出一种受困人员的自动生命探测算法,通过语音合成和语音识别模块判断是否存在受困人员。当无法判断时,采集声音传感器的数据,通过声音信号采集、预处理、小波包分解、卡尔曼滤波、归一化、阈值分析、FFT变换、特征提取和计算识别等步骤,判断是否存在受困人员。

2. 由于监测区域面积大、节点数量多、部署范围广,因此提出一种稀疏无线传感网络的移动感知覆盖算法,通过辅助救援飞行器的位置、数据存储容量和传输数据时间等信息,能寻找一条全覆盖整个监测区域的最优移动路径,从而降低数据丢包率和数据传输时延。

3. 分析设备的需求和功能,设计与实现系统的硬件和软件。其中,辅助救援飞行器负责感知大量的基础数据,为系统功能的实现提供数据支持,实现指定区域内受困人员的生命探测、飞行搜索和语音鼓励的功能;数据汇聚站负责接收所有数据,删除冗余数据,存储未接收到的数据,为救援人员提供受困人员的位置等信息。

本文对生命探测算法和移动感知覆盖算法进行了一定的理论研究。在重大灾难环境下,设计并实现了生命探测和辅助救援系统,从而达到减少这类灾难造成死亡人员的目的。通过对系统的测试分析,可以得出系统具有一定的实际应用价值,并推动了辅助救援技术的发展和完善。

Major natural or accident disasters notonly cause a lot of economic losses, social disorder and production stagnation.What’s more seriously is that many people have lost their loved ones, causingfamily damage and psychological harm, which are often greater than directeconomic losses. Considering that a large number of the death toll is due tothe collapse of collapsed buildings and the lack of timely rescue, therefore,it is very important to detect and rescue the trapped people under thecollapsed buildings. This article uses the golden rescue vacuum period thatrescuers can't reach to realize life detection and auxiliary rescue for thevictims under the collapsed buildings.

The system of this paper adopts a two-layernetwork structure, which consists of an auxiliary rescue aircraft and a dataaggregation station. The main work is as follows:

1. Considering the major disasterenvironment, the sound signal is one of the important sources of informationfor rescuers to search and rescue. An automatic life detection method fortrapped people is proposed. The speech synthesis module and the speechrecognition module are used to judge whether there are trapped people. When itis impossible to judge, the data of the sound sensor is collected, and thesteps of sound signal acquisition, preprocessing, wavelet packet decomposition,Kalman filtering, normalization, threshold analysis, FFT transformation,feature extraction and calculation recognition are used to determine whetherthere is trapped people.

2. Due to the problem of the large area ofthe monitoring area, numerous nodes, wide deployment range, and the fixedlocation, a mobile sensing coverage algorithm for sparse wireless sensornetworks is proposed to find an optimal moving path covering the entiremonitoring area through the information of the location of the rescue aircraft,the data storage capacity and the data transmission time. Thus, the data packetloss rate and data transmission delay are reduced.

3. The requirements and functions of thedevice are analyzed, the hardware and software of the system is implemented.Among them, the auxiliary rescue aircraft is designed for sensing a largeamount of basic data, providing data support for system function, realizinglife detection, flight search and voice encouragement of trapped people inspecified areas. The data aggregation station is designed for receiving all ofthe data, deleting the redundant data, storing the unreceived data, andproviding rescuers with information such as the location of the trapped person.

In this paper, the life detection methodand the mobile perceptual coverage algorithm have been studied theoretically.In the context of major disasters, life detection and assisted rescue systemswere designed and implemented to reduce the number of deaths caused by suchdisasters. Through the test and analysis of the system, it can be concludedthat the system has certain practical application value and promotes thedevelopment and improvement of the auxiliary rescue technology.

关键词:灾难;飞行器;生命探测;无线传感网络;移动感知覆盖

disaster; aircraft; life detection;wireless sensor network; mobile sensing coverage

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