Glass-compatible and self-powered temperature alarm system by temperature-responsive organic manganese halides via backward energy transfer process

A pioneering glass-compatible transparent temperature alarm system self-powered by luminescent solar concentrators(LSCs) is reported.Single green-emitted organic manganese halides(OMHs) of PEA_(2)MnBr_(2)I_(2),which has a unique temperature-dependent backward energy transfer process from selftrapped state to^(4)T_(1)energy level of Mn,is used for triggering the temperature alarm.The LSC with redemitted CsPbI_(3)perovskite-polymer composite films on the glass substrate is used for power supply.The spectrally separated nature between the green-emitted OMHs for temperature alarm and red-emitted CsPbI3in LSC for power supply allows for probing the signal light of temperature-responsive OMHs without the interference of LSCs,making it possible to calibrate the temperature visually just by a self-powered brightness detection circuit with LED indicators.Taking advantage of LSC without hot spot effects plaguing the solar cells,as-prepared temperature alarm system can operate well on both sunny and cloudy day.

Design of Intelligent Home Security Alarm System under STC89C51 Single Chip Microcomputer

In order to improve the security of home residence, this paper studiesand designs an intelligent home security alarm system, using STC89C51single chip microcomputer as the main controller of the security system,and real-time monitoring by controlling the human pyroelectric infraredsensor and smoke sensor in the case of strangers invading the securityrange and showing signs of fire. Once the abnormal situation is found, theintelligent home security alarm system will start the acousto-optic alarmprompted by the LED lamp and pass through the information processingsystem of the GSM module. Send an abnormal text message to the user ofthe security system at the first time face, and finally realize the purpose ofmodern intelligent home security alarm.

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.

Fire-Detectors Review and Design of an Automated, Quick Responsive Fire-Alarm System Based on SMS

In this work a review of existing fire-detector types has been carried out along with the development of a low cost, portable, and reliable microcontroller based automated fire alarm system for remotely alerting any fire incidents in household or industrial premises. The aim of the system designed is to alert the distant property-owner efficiently and quickly by sending short message (SMS) via GSM network. A Linear integrated temperature sensor detects temperature beyond preset value whereas semiconductor type sensor detects presence of smoke or gas from fire hazards. The sensor units are connected via common data line to ATMega8L AVR microcontroller. A SIM300CZ GSM kit based network module, capable of operating in standard GSM bands, has been used to send alert messages. The system is implemented on printed circuit board (PCB) and tested under different experimental conditions to evaluate its performances.

A practical approach to improve alarm system performance: Application to power plant

Process safety in chemical industries is considered to be one of the important goals towards sustainable development. This is due to the fact that, major accidents still occur and continue to exert significant reputational and financial impacts on process industries. Alarm systems constitute an indispensable component of automation as they draw the attention of process operators to any abnormal conditi on in the plant. Therefore, if deployed properly, alarm systems can play a critical role in helping plant operators ensure process safety and profitability. How-ever, in practice, many process plants suffer from poor alarm system configuration which leads to nuisance alarms and alarm floods that compromise safety. A vast amount of research has primarily focused on developing sophisticated alarm management algorithms to address specific issues. In this article, we provide a simple, practical, systematic approach that can be applied by plant engineers (i.e., non-experts) to improve industrial alarm system performance. The proposed approach is demonstrated using an industrial power plant case study.

Design and Implementation of Environment Monitoring and Alarm System for Broiler Breeding Based on Internet of Things

Environment plays a vital role in the breeding process of broilers. In order to effectively monitor and control the breeding environment of broilers, a broiler breeding environment monitoring and alarm system based on internet of things is studied and established. The system adopts the narrow band internet of things communication technology, and can transmit the temperature, humidity, illumination and ammonia and other environ-mental data in the chicken house remotely through terminal collection unified interface device. Meantime, it realizes the control of fans, wet cur-tains, small windows and illumination in the chicken house by threshold method. The system software is designed and implemented by C#, SQL Server, WeX5 and other development tools, including platform terminal and enterprise terminal. Since its operation, the system is featured by stable state, reliable data and timely alarm, which solves the problem of unified control of different sensors and realizes the effective control of house envi-ronment.

Changing Places:On the Use of Utopia and the Role of a Place Alarm System

In the paper,the experience of contradictions and conflicts as a normal feature of social change and evolutionary trends,is discussed.Contradictions normally destabilize a system,causing dilemmas and conflicts.However,the paper warns against thinking of destabilization as dysfunctional,as complex systems require a high degree of instability to deal with changes in the environment.Dealing with instabilities requires systems,which can produce alarms that signal a need to regain additional options for development and introduce them into the planning process.The paper introduces the concept of a place alarm system,which uses visions and utopias in various forms for alarm purposes.To illustrate this kind of thinking,the paper first presents a model of an alarm system,which demonstrates how we can deal with contradictions by including the temporal dimension in our analyses of place systems and bring broader temporal horizons into consideration.As an example,contradictions increase when we consider the future from the perspective of the present;the present future multiplies contradictions.On the other hand,viewing the present from the future(future present),creates possibilities for goal-directed planning to avoid the problems,which have produced alarm signals.As the paper demonstrates,these two possibilities of what may be called reflexive and utopian temporal modalizations,are not given as alternatives,but mutually imply each other.The paper then presents two case illustrations,which demonstrate how to deal with conflict and contradictions to facilitate collective and goal-directed planning,using the alarm system framework.In both cases,we are witnessing place planning processes,which lack the necessary requisite variety(Ashby,1956)to deal effectively with the environmental complexity and internal conflicts facing the local communities.As indicated in the analyses,the present planning regimes do not promote variety and vitality regarding current place developments.

An Event Alarm System Based on Single and Group Human Behavior Analysis

Due to the increasing demand for security,the development of intelligent surveillance systems has attracted considerable attention in recent years.This study aims to develop a system that is able to identify whether or not the people need help in a public place.Different from previous work,our work considers not only the behaviors of the target person but also the interaction between him and nearby people.In the paper,we propose an event alarm system which can detect the human behaviors and recognize the happening event through integrating the results generated from the single and group behavior analysis.Several new effective features are proposed in the study.Besides,a mechanism capable of extracting one-to-one and multiple-to-one relations is also developed.Experimental results show that the proposed approach can correctly detect human behaviors and provide the alarm messages when emergency events occur.

5-23 Temperature Alarm System for CSR Power Cables

As one of the most important facilities, The CSR power cables played a major role in powering device. Thecable temperature continued to rise as soon as it's energized with electrical power. High temperature may be caughta cable fire disaster, so the temperature alarm system is presented. The temperature alarm system for CSR PowerCables is designed and realized by the slow control group and the power supply group in IMP 2014. This is a effective means, and can accurately located the target cables.When the target cable temperature is higher than70?, the system can generate alarm signals, and sendthem to the GUI software. After practical running forseveral months, the system had shown its accuracy andreliability.

The Monitoring with Video and Alarm System Based on Linux Router

As one of important safeguarded measures in security field, the video monitoring system have been applied in extensive ways such as building’s security,information’s acquisition and medical treatment. In current time, the intelligent home systems as well as the Internet of Things are forming a more and more mature industrial chain. With abundant of new technology applications, this industrial chain is developing towards to a more intelligent way. One of the most important applications is the video monitoring system developed by new technology. Deploy an appropriate design of video monitoring system in the several fields such as public security, traffic schedule, systems control and so on, is a major technological medium which can guarantee not wasting an amount of manpower resource as well as keeping the system in a good running status. This article based on the preponderance of the Linux system, especially the character of open source of it. Combine the Linux system and some particular routers;designing a real-time and efficient video monitoring system. It’s functional and in the meantime it can discriminate abnormal information or the situation automatically and then raise the alarm. This system use matured B/S mode in software’s framework, which is also lightweight class. In addition, this system manages the expenses in hardware cost more commendably.

A Fiber-Optical Intrusion Alarm System Based on Quasi-Distributed Fiber Bragg Grating Sensors

A fiber-optical intrusion alarm system based on quasi-distributed fiber Bragg grating (FBG) sensors is demonstrated in this paper. The algorithms of empirical mode decomposition (EMD) and wavelet packet characteristic entropy are adopted to determine the intrusion location. The intrusion alarm software based on the Labview is developed,and it is also proved by the experiments. The results show that such a fiber-optical intrusion alarm system can offer the automatic intrusion alarm in real-time.

Enhancing Feature Discretization in Alarm and Fire Detection Systems Using Probabilistic Inference Models

Sensors for fire alarms require a high level of predictive variables to ensure accurate detection, injury prevention, and loss prevention. Bayesian networks can aid in enhancing early fire detection capabilities and reducing the frequency of erroneous fire alerts, thereby enhancing the effectiveness of numerous safety monitoring systems. This research explores the development of optimized probabilistic graphic models for the discretization thresholds of alarm system predictor variables. The study presents a statistical model framework that increases the efficacy of fire detection by predicting the discretization thresholds of alarm system predictor variable fluctuations used to detect the onset of fire. The work applies the Bayesian networks and probabilistic visual models to reveal the specific characteristics required to cope with fire detection strategies and patterns. The adopted methodology utilizes a combination of prior knowledge and statistical data to draw conclusions from observations. Utilizing domain knowledge to compute conditional dependencies between network variables enabled predictions to be made through the application of specialized analytical and simulation techniques.

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.

The analysis of the operational process of a complex fire alarm system used in transport facilities

A fire alarm system(FAS)is a system comprising signalling-alarm devices,which automatically detect and transmit information about fire,but also receivers of fire alarms and receivers for damage signals.Fire alarm systems function in different environmental conditions.During operation they should be in state of fitness.This is determined by the reliability of the assembled units and rational management of the operation process.Therefore a reliability and operational analysis of fire alarm systems as a whole is essential.This article presents an authorial model and an operational and reliability analysis of FAS,which is exploited in a transport building.It also demonstrates relationships occurring in the analysed system,where to an addressable fire alarm central unit with detection loops and control-monitoring loops alarm device lines(with monitored relay outputs for actuation of alarm-signalling devices)were connected.Research and analysis of results for representative FAS,which were exploited in similar environmental conditions,were conducted in order to determine operational and reliability parameters of the investigated system.FAS computer simulation was run during the time t=1 year of safety system operation.This led to the calculation of the probability value of the analysed FAS staying in the examined operational states.

An ECG Monitoring and Alarming System Based On Android Smart Phone

ECG monitoring in daily life is an important means of treating heart disease. To make it easier for the medical to monitor the ECG of their patients outside the hospital, we designed and developed an ECG monitoring and alarming system based on Android smart phone. In our system, an ECG device collects the ECG signal and transmits it to an Android phone. The Android phone detects alarms which come from the ECG devices. When alarms occur, Android phone will capture the ECG images and the details about the alarms, and sends them to the cloud Alarm Server (AS). Once received, AS push the messages to doctors’ phone, so the doctors could see the ECG images and alarm details on their mobile phone. In our system, high resolution ECG pictures are transmitted to doctors’ phone in a user-friendly way, which can help doctors keep track of their patient’s condition easily.

Idesco和Alarm System开展合作

近日，以各式感应卡、智能卡及UHF技术为基础的卡片读卡器专业供应厂商Idesco，为了强化自己在北欧安全市场的地位，宣布将与北欧安全系统供货商的领导品牌Alam System开展合作。

Pattern Matching of Industrial Alarm Floods Using Word Embedding and Dynamic Time Warping

Dear Editor,This letter proposes a new pattern matching method based on word embedding and dynamic time warping(DTW)to identify groups of similar alarm floods.First,alarm messages are transformed into numeric values that represent alarms and also reflect the relationships between alarm occurrences.Then,similarities between numerically encoded alarm flood sequences are calculated by DTW and groups of similar floods are identified via clustering.The effectiveness of the proposed method is demonstrated by a case study with alarm&event data obtained from a public industrial simulation model.

Multi-Attack Intrusion Detection System for Software-Defined Internet of Things Network

Currently,the Internet of Things(IoT)is revolutionizing communi-cation technology by facilitating the sharing of information between different physical devices connected to a network.To improve control,customization,flexibility,and reduce network maintenance costs,a new Software-Defined Network(SDN)technology must be used in this infrastructure.Despite the various advantages of combining SDN and IoT,this environment is more vulnerable to various attacks due to the centralization of control.Most methods to ensure IoT security are designed to detect Distributed Denial-of-Service(DDoS)attacks,but they often lack mechanisms to mitigate their severity.This paper proposes a Multi-Attack Intrusion Detection System(MAIDS)for Software-Defined IoT Networks(SDN-IoT).The proposed scheme uses two machine-learning algorithms to improve detection efficiency and provide a mechanism to prevent false alarms.First,a comparative analysis of the most commonly used machine-learning algorithms to secure the SDN was performed on two datasets:the Network Security Laboratory Knowledge Discovery in Databases(NSL-KDD)and the Canadian Institute for Cyberse-curity Intrusion Detection Systems(CICIDS2017),to select the most suitable algorithms for the proposed scheme and for securing SDN-IoT systems.The algorithms evaluated include Extreme Gradient Boosting(XGBoost),K-Nearest Neighbor(KNN),Random Forest(RF),Support Vector Machine(SVM),and Logistic Regression(LR).Second,an algorithm for selecting the best dataset for machine learning in Intrusion Detection Systems(IDS)was developed to enable effective comparison between the datasets used in the development of the security scheme.The results showed that XGBoost and RF are the best algorithms to ensure the security of SDN-IoT and to be applied in the proposed security system,with average accuracies of 99.88%and 99.89%,respectively.Furthermore,the proposed security scheme reduced the false alarm rate by 33.23%,which is a significant improvement over prevalent schemes.Finally,tests of the algorithm for dataset selection showed that the rates of false positives and false negatives were reduced when the XGBoost and RF algorithms were trained on the CICIDS2017 dataset,making it the best for IDS compared to the NSL-KDD dataset.

Key Points of Designing Alarm System in Medical Electrical Equipment

This paper presents suggestions in aspects(which should meet the standards) such as alarm indication, system setup and system security during the designing process of alarm system in medical electrical equipment, which can be used as a reference for manufacturers.

SCADA Data-Based Support Vector Machine for False Alarm Identification for Wind Turbine Management

Maintenance operations have a critical influence on power gen-eration by wind turbines(WT).Advanced algorithms must analyze large volume of data from condition monitoring systems(CMS)to determine the actual working conditions and avoid false alarms.This paper proposes different support vector machine(SVM)algorithms for the prediction and detection of false alarms.K-Fold cross-validation(CV)is applied to evaluate the classification reliability of these algorithms.Supervisory Control and Data Acquisition(SCADA)data from an operating WT are applied to test the proposed approach.The results from the quadratic SVM showed an accuracy rate of 98.6%.Misclassifications from the confusion matrix,alarm log and maintenance records are analyzed to obtain quantitative information and determine if it is a false alarm.The classifier reduces the number of false alarms called misclassifications by 25%.These results demonstrate that the proposed approach presents high reliability and accuracy in false alarm identification.