A Wireless Sensor Network Ad-Hoc Designed as Anti-Theft Alarm System for Photovoltaic Panels

Photovoltaic (PV) systems have attracted increasing attention in last years as well as Wireless Sensor Networks (WSNs), which have been used in many application fields. In PV plants, especially in ground installations, a lot of thefts and damages occur due to the still high cost of the modules. A new experimental WSN ad-hoc has been designed to be an anti-theft alarm system. Each node of the network is directly installed under each PV string and it is equipped with an accelerometer sensor capable to detect a minimum displacement of the panel from its steady position. The WSN presents a star topology: a master node cyclically interrogates the slave nodes through RF link. It collects all the nodes responses and communicates though a RS-232 interface with a control PC checking the network status. When a slave node detects an alarm, continuous messages are sent to the control PC which turns on all the alarm signaling systems. The control PC is equipped with an open source operative system and software and provides for SMS, e-mail and sound-light signaling in case of alarm. It also communicates with a remote server where all the WSN information is stored. A first low cost experimental WSN has been already installed and it is working properly.

A novel anti-theft alarm system b ased on detection of magnetic field

This paper proposes a novel bidirect i o nal anti-theft alarm scheme through detecting the magnetic field.The theoretical background and analysis of the approach of anti-theft alarm are pre sented.The circuit of burglar alarm is designed,fabricated and tested,and C language program is implemented and debugged.Feasibility of the de veloped scheme is proved by the experiments.

Taidu Electronic Anti-theft Alarm Lock Series

Produced by the Beijing Taidu Automobile Safety Equipment Manufacture Co. Ltd., the Taidu electronic anti-theft alarm system has a single key system and easy operation. The system has a cover to protect it from accidental triggering. Indicators display its remote control function, controlling all the locking and unlocking actions for an automobile’s doors within a range of 50 metres. The system has a

Sounding the alarm:Functionally referential signaling in Azure-winged Magpie

Functionally referential signals are a complex form of communication that conveys information about the external environment.Such signals have been found in a range of mammal and bird species and have helped us understand the complexities of animal communication.Corvids are well known for their extraordinary cognitive abilities,but relatively little attention has been paid to their vocal function.Here,we investigated the functionally referential signals of a cooperatively breeding corvid species,Azure-winged Magpie(Cyanopica cyanus).Through field observations,we suggest that Azure-winged Magpie uses referential alarm calls to distinguish two types of threats:’rasp’ calls for terrestrial threats and ’chatter’ calls for aerial threats.A playback experiment revealed that Azure-winged Magpies responded to the two call types with qualitatively different behaviors.They sought cover by flying into the bushes in response to the ’chatter’ calls,and flew to or stayed at higher positions in response to ’rasp’ calls,displaying a shorter response time to ’chatter’ calls.Significant differences in acoustic structure were found between the two types of calls.Given the extensive cognitive abilities of corvids and the fact that referential signals were once thought to be unique to primates,these findings are important for expanding our understanding of social communication and language evolution.

Design of AI-Enhanced and Hardware-Supported Multimodal E-Skin for Environmental Object Recognition and Wireless Toxic Gas Alarm

Post-earthquake rescue missions are full of challenges due to the unstable structure of ruins and successive aftershocks.Most of the current rescue robots lack the ability to interact with environments,leading to low rescue efficiency.The multimodal electronic skin(e-skin)proposed not only reproduces the pressure,temperature,and humidity sensing capabilities of natural skin but also develops sensing functions beyond it—perceiving object proximity and NO2 gas.Its multilayer stacked structure based on Ecoflex and organohydrogel endows the e-skin with mechanical properties similar to natural skin.Rescue robots integrated with multimodal e-skin and artificial intelligence(AI)algorithms show strong environmental perception capabilities and can accurately distinguish objects and identify human limbs through grasping,laying the foundation for automated post-earthquake rescue.Besides,the combination of e-skin and NO2 wireless alarm circuits allows robots to sense toxic gases in the environment in real time,thereby adopting appropriate measures to protect trapped people from the toxic environment.Multimodal e-skin powered by AI algorithms and hardware circuits exhibits powerful environmental perception and information processing capabilities,which,as an interface for interaction with the physical world,dramatically expands intelligent robots’application scenarios.

A lightweight false alarm suppression method in heterogeneous change detection

Overlooking the issue of false alarm suppression in heterogeneous change detection leads to inferior detection per-formance.This paper proposes a method to handle false alarms in heterogeneous change detection.A lightweight network of two channels is bulit based on the combination of convolutional neural network(CNN)and graph convolutional network(GCN).CNNs learn feature difference maps of multitemporal images,and attention modules adaptively fuse CNN-based and graph-based features for different scales.GCNs with a new kernel filter adaptively distinguish between nodes with the same and those with different labels,generating change maps.Experimental evaluation on two datasets validates the efficacy of the pro-posed method in addressing false alarms.

Design of Signal Lamp Filament Monitoring Alarm Instrument

To improve the reliability of the light emitting diode(LED)signal lamp filament current monitoring alarm instrument for metro systems,a new type of hot standby online monitoring apparatus was developed which is based on synchronous transmission data(STD)bus technology.In this system,a double hot standby mode can be achieved by adopting bus arbitration.In addition,to detect the effective value of alternating current which is from 0 to 200 mA in the signal lamp lighting circuit,a precision rectifier signal conditioning circuit and an isolated acquisition circuit were designed.This new type of alarm instrument has high detection accuracy and could meet the functional requirements for metro signal systems after comparing it with some industry products that were applied on the spot.

Critical care nurses and their clinical reasoning for customizing monitor alarms:a mixed-method study

Objective:To explore the clinical rationale of critical care nurses for personalizing monitor alarms.One of the most crucial jobs assigned to critical care nurses is monitoring patients'physiological indicators and carrying out the necessary associated interventions.Successful use of equipment in the nursing practice environment will be improved by a thorough understanding of the nurse's approach to alarm configuration.Methods:A mixed-method design integrating quantitative and qualitative components was used.The sample of this study recruited a convenience sample of 60 nurses who have worked in critical care areas.This study took place at Lebanese American University Medical Center Rizk Hospital,utilizing a semi-structured interview with participants.Results:The study demonstrated the high incidence of nuisance alarms and the desensitization of critical care nurses to vital ones.According to the nurses,frequent false alarms and a shortage of staff are the 2 main causes of alarm desensitization.Age was significantly associated with the perception of Smart alarms,according to the data(P=0.03).Four interconnected themes and subcategories that reflect the clinical reasoning process for alarm customization were developed as a result of the study's qualitative component:(1)unit alarm environment;(2)nursing style;(3)motivation to customize;and(4)clinical and technological customization.Conclusions:According to this study,nurses believe that alarms are valuable.However,a qualitative analysis of the experiences revealed that customization has been severely limited since the healthcare team depends on nurses to complete these tasks independently.Additionally,a staffing shortage and lack of technical training at the start of placement have also hindered customization.

Feature extraction and damage alarming using time series analysis

Aiming at the problem of on-line damage diagnosis in structural health monitoring （SHM）, an algorithm of feature extraction and damage alarming based on auto-regressive moving-average （ARMA） time series analysis is presented. The monitoring data were first modeled as ARMA models, while a principalcomponent matrix derived from the AR coefficients of these models was utilized to establish the Mahalanobisdistance criterion functions. Then, a new damage-sensitive feature index DDSF is proposed. A hypothesis test involving the t-test method is further applied to obtain a decision of damage alarming as the mean value of DDSF had significantly changed after damage. The numerical results of a three-span-girder model shows that the defined index is sensitive to subtle structural damage, and the proposed algorithm can be applied to the on-line damage alarming in SHM.

Theoretical research on structural damage alarming of long-span bridges using wavelet packet analysis

The state equation and observation equation of the structural dynamic systems under various analysis scales are derived based on wavelet packet analysis. The time-frequency properties of structural dynamic response under various scales are further formulated. The theoretical analysis results reveal that the wavelet packet energy spectrum （WPES） obtained from wavelet packet decomposition of structural dynamic response will detect the presence of structural damage. The sensitivity analysis of the WPES to structural damage and measurement noise is also performed. The transfer properties of the structural system matrix and the observation noise under various analysis scales are formulated, which verify the damage alarming reliability using the proposed WPES with preferable damage sensitivity and noise robusticity.

费森4008B血透机Flow alarm故障维修

1故障现象 机器运行过程中电导度不稳定,上下漂移且出现Flow alarm报警。

SoundAlarm纯软件智能语音报警系统在火电厂的应用

部分火电厂计算机控制系统中的自动报警系统在出现报警信息时发出单调的警铃或蜂鸣器声音报警,CRT画面上故障点闪亮。由于火电厂计算机控制系统的CRT画面较多且机组大部分报警光字牌已取消,因此操作人员难以及时查明故障点并迅速处理机组缺陷。纯软件智能语音报警系统SoundAlarm通过给计算机控制系统扩展真人语音报警功能,很好地弥补了计算机控制系统实现自动报警时的不足。该智能语音报警系统还具有不影响数据源系统的安全、对硬件要求低、配置灵活方便、无需进行专门维护等特点。SoundAlarm系统目前已成功与MCSmaxDNA和欧陆公司的NETWORK6000DCS实现了无缝集成,在电厂的自动报警中获得了成功应用。

省级地球物理站网仪器运行监控系统设计与实现

顺应地震监测业务改革方向,为提升地球物理站网仪器运维效率,设计了一套地球物理站网仪器运行监控系统。系统包括基于B/S架构设计的监控软件平台、手机监控App软件和基于C/S架构设计的调试工具,通过实时获取地球物理仪器状态流和数据流,对仪器时钟准确性、连通性,数据完整性、有效性等进行自动化分析,实现辖区范围内地球物理站网仪器运行状态的实时监控。该系统可对仪器运行状态异常、产出数据不符合规范要求等情况进行异常告警,提示运维人员第一时间排查故障,从而提高了地球物理站网仪器运行率和数据质量;系统对获取的数据进行备份,提高了地球物理台网数据完整性,并为今后实现数据质量实时监控等数据服务提供了技术路线。

Multitask Data Processing in a Wireless Alarm System

Aim To achieve multitask data procssing in a wireless alarm system by computer. Methods The alarm system was composed of hardware and software. The hardware was composed of a master master computer and slave transmitters. On urgent ugent occasion, one or more of the transmitters transmitted alarm signals and the master computer received the signals; interruption, residence, graph and word processing were utilized in software to achieve multitiask data processing . Results The main computer can conduct precise and quick multitask data procesing in any condition so long as alarm signals are received. The processing speed is higher than ordinary alarm System. Conclusion The master computer can conduct safe and quick multitask data processing by way of reliable design of software and hardware , so there is no need of special processor.

一种改进的SAR图像舰船目标超像素快速检测算法

合成孔径雷达(Synthetic Aperture Radar,SAR)能够不受天气和环境影响,长时间、远距离地高效对目标区域进行探测和数据采集来获取高分辨的观测数据,同时SAR可以多极化、多波段进行观测来获取丰富可靠的信息,以上特性使得SAR在舰船目标检测领域发挥着重要作用。针对传统超像素级恒虚警率检测算法运行效率低的问题,在超像素分割模块提出了一种基于Gamma分布的快速非迭代聚类算法。该算法使用优先级队列来动态实时更新聚类中心,实现了聚类过程的非迭代运算,并且针对SAR图像特点基于Gamma分布改进距离度量,通过衡量图块之间的相似度代替彩色空间距离度量,使得该算法更适合处理灰度图像。针对多目标邻近干扰的问题,本文在CFAR检测模块选用对背景杂波拟合效果好的截断Gamma分布模型。将改进的超像素分割算法与基于截断Gamma分布的检测算法结合,最终设计了一种改进的SAR图像目标超像素快速检测算法。经实验验证,本文提出的改进超像素分割算法在保证分割性能优异的同时,复杂度明显降低;另外截断Gamma分布尽可能地保留了真实的海杂波样本,在统计模型构建上呈现出更高的精确度和更佳的拟合效果,对后续检测算法更有利;在多目标邻近的实测SAR图像中,本文改进的目标超像素快速检测算法具有较高的检测率和执行效率。

ZigBee技术和支持向量机下室内火灾自动报警系统

室内火灾报警系统只能基于少量传感器的数据进行判断,容易受到烟雾、温度等干扰,导致误判率较高。为此,基于ZigBee技术和支持向量机设计一种室内火灾自动报警系统。采用传感器节点采集室内烟雾浓度与温度信息,通过ZigBee路由设备将采集的信息转发至ZigBee协调器内。利用基于负载均衡的ZigBee网络多径路由算法建立信息传输路径,将ZigBee路由设备转发的信息传输至支持向量机处理模块内。使用支持向量机算法处理烟雾浓度与温度信息,获取高校室内火灾类型的发生概率,并与事先设置的判别阈值进行比较,当火灾发生概率大于阈值,自动报警模块会自动发出警报。实验结果表明:所设计系统火灾信息采集精度较高,无线网络生存周期长,具备较优的信息传输效果,且能够有效计算高校室内火灾类型发生概率并自动发出警报。

OMCI协议栈Alarm Control机制的实现

GPON设备在家庭中的使用越来越广泛,而Alarm报告机制在GPON ONU设备中广泛存在.因此,对Alarm Control机制的实现可以有效的实现OLT对ONU运行状态的管理和控制.从G.988出发,论述Alarm控制实现的基本原理,随后根据OMCI协议栈的1种可能实现论述Alarm Control的实现方法.

连续波调频引信分数域匹配阶抗扫频干扰方法

针对连续波调频(Frequency Modulated Continuous Wave,FMCW)引信易遭受的扫频干扰问题,提出一种分数域匹配阶干扰抑制方法。该方法基于FMCW引信目标回波差频信号为多个单音信号叠加、干扰差频信号为线性调频信号的特点,利用线性调频信号在特定阶数分数阶域的聚集性,通过分数阶域一维恒虚警检测,获得干扰信号位置,并通过干扰位置幅相重构剔除干扰对引信的影响。针对干扰信号分数阶域阶数寻优问题,设计迭代黄金分割搜索法的分数阶变换阶次快速搜索算法。通过仿真和实测数据验证了新方法的有效性,验证结果表明:在低于-20 dB信干噪比条件下,新方法能够有效抑制同频非相参调频信号的干扰。

地下综合管廊天然气泄漏扩散及爆炸研究综述

该文针对城市地下综合管廊燃气舱内的天然气泄漏、扩散以及火灾爆炸风险等问题开展综述分析。关于燃气舱内天然气管线的泄漏研究,必须充分考虑泄漏孔的位置、尺寸、管道工作压力即管线内压强变化、通风和气体探测器报警时限等影响,当舱室天然气大量泄漏后,仅增加通风次数无法有效防止天然气积聚,必须同时启用舱内防火门进行截断隔离措施。分析受限空间内气体爆炸已有的研究进展,结果表明,针对燃气舱天然气泄漏爆炸的模拟研究,应充分考虑管廊长径比及舱内物体的影响;且爆炸冲击波强度较高,需采用相应的防爆抑爆措施。本文为城市地下综合管廊中天然气管道运输的安全性研究提供了方向和参考。