Real-time Alarm Research Articles

Big data analytics for network and service management

Big data analytics for network and service management

Monitoring and Alarming System for Hydrate in Gas Wells

When the wellhead temperature for gas wells is low, freezing accident in wellbore could happen because of hydrate generation. Through designing the monitoring and alarming system, the freezing accident can be avoided. The pressure and temperature distribution along wellbore is computed through multi-phase flowing theory, based on the data acquired from the wellhead. Comparing to the hydrate P-T Graph by the picture interpreting means, the results can judge the situation of the hydrate and show the depth range with the hydrate in gas wells, so that the system can monitor and alarm hydrate. The system contains three main functions: calculating the pressure and temperature in wellbore during production or well shutting; forecasting the hydrate generation; design of the alarming and prevention. The software made up by these methods can realize the aim to real-time monitor and alarm hydrate. Finally, the software of the system is shown with the suggestion to avoid hydrate during gas well testing and production.

4g-Based Specialty Vehicles Real-Time Monitoring System Design and Implementation

In the future development of natural gas transportation industry, emerging ITS technology will be applied more and more, aiming at integrating precise positioning technology, geographic information system technology, database technology, multimedia technology and modern communication technology, sensor network technology and video capture technology, so as to achieve the transport steam (oil) vehicles in real time monitoring and management. The main research content of this paper is to design and research the monitoring and locating system of luck (oil) vehicle based on 4G on Android System. Real-time monitoring and alarming by sensor module, real-time video recording and uploading through camera module, real-time position recording and uploading through GPS module, vehicle navigation module and quick alarm module, which is composed of five parts. The system is the application of new intelligent transport technology in the field of special vehicle transport. It apply electronic information technology and internet of things technology to the vehicle system, so we can monitor natural gas and other special dangerous goods anytime, anywhere.

Deploying telemonitoring services in an integrated care model

Introduction: The prevalence of congestive heart failure is considerably high affecting 10% of the population older than 70 years old. Due to the population ageing and the increased survival to acute cardiac diseases, CHF is becoming more common, representing a public health problem. In consequence, it will become increasingly difficult to maintain the quality of care of patient suffering from CHF.In this context, home telemonitoring appears to be a promising alternative to allow healthcare professionals to follow up patient´s health status more closely and then facilitating early detection of worsening symptoms. However, the effectiveness of these interventions in real conditions has not yet been sufficiently tested, since the implementation of telemonitoring services is considerably complex. Frequently telemonitoring studies do not overcome the pilot phase and do not reach the expected success when it comes to scale and place the intervention in routine practice.The aim of the project is to define and up-scale cost-effective and sustainable telemonitoring services for patients with CHF.Definition of the organizational model and the ICT infrastructure of the telemonitoring intervention have been deeply discussed in an inter-organizational and multidisciplinary work group, reaching consensus on how to implement the services within an integrated organizational model.Both the care pathway and the technological solution have been defined in order to design a sustainable service. On one hand, the organizational model is adaptable and flexible enough to be tailored to new contexts allowing new organizations to incorporate the service into their routine practice. On the other hand, a huge effort has been done to integrate distinct technological platforms which permit that the telemonitoring data flow from patient´s home to the EHR.Short description of practice change implemented: The patient who meets the inclusion criteria and signs the informed consent is enrolled in the intervention. The technical provider is responsible for installing devices for the measurement of the heart rate, blood pressure, pulse-oxymetry and weight at patient's home within a week after recruitment. In addition, a personal alarm device for 24/7 real-time emergency detection is installed. The patient is trained in using the telemonitoring and telecare devices.Following the clinician's prescription, the patient will routinely transmit his/her parameters at least once per week. The telemonitoring devices collect and send the data wirelessly to the gateway located at his/her home. The gateway device transmits the data collected by the patient to the alarm management system of the Telecare Centre.The operator of the Telecare Centre checks the data sent by the patient and activates the predefined protocol agreed by a group of professionals, including clinicians, general practitioners, nurses, general directors and representatives of the social area. When clinical parameters are out of range, the operator first verifies the alarm situation by a phone call to the patient. If the alarm is validated, the operator triggers the protocol depending on the severity of the situation. The operator contacts the eHealth Centre composed of nurses; they then solve the alarm on their own, notify the general practitioner or the specialist, or activate Emergency Department.If the patient uses the 24/7 real-time alarm device provided, the Telecare Centre's operator can contact the Emergency Department and/or social services. In addition, the Telecare Centre also solves any technical problems arising in the use of devices.Key findings: 150 patients have been recruited from May 2014 to June 2015 and each patient has been followed up to 12 months.Preliminary results:42.25% alarms are technicalThe remaining 57.75%:- 79.7% do not activate alarm- 20.3% out of range (54.8% false positive, 30.3% true alarms, 14.7% not confirmed)Healthcare activities upon alarms:- 84,1%: solved by eHealth Centre- 5,1%: solved by primary care- 10,7%: solved in secondary careHigh patient and caregiver satisfactionHighlights:- The organizational model using telemonitoring services model has to be well adapted to the routine practice.- Complete telemonitoring service required (device installation, maintenance and user training)- Need of both administrative management and guarantee of good quality of telemonitored data (avoiding false alarms).- Primary Care is responsible for proactive control of the patients- Distributed leadership is crucial from the implementation process perspective (clinical, managerial and methodological)- Need to share midterm results and collect feedback from front-line professionals to detect improvement areasConclusions: We have seen that project objectives have to be completely aligned with the central organization´s strategic plan to ensure the sustainability of the services. Using corporative technological platforms and existing resource re-organization also contribute to the maintenance of the service in long term.

Analysis of operator support method based on intelligent dynamic interlock in lead-cooled fast reactor simulator

In nuclear systems, operators have to carry out corrective actions when abnormal situations occur. However, operators might make mistakes under pressure. In order to avoid serious consequences of the human errors, a new method for operators support based on intelligent dynamic interlock was proposed. The new method based on full digital instrumentation and control system, contains real-time alarm analysis process, decision support process and automatic safety interlock process. Once abnormal conditions occur, necessary safety interlock parameter based on analysis of real-time alarm and decision support process can be loaded into human-machine interfaces and controllers automatically, and avoid human errors effectively. Furthermore, the new method can make recommendations for further use and development of this technique in nuclear power plant or fusion research reactor.

Designing a Cyber–Physical System for Fall Prevention by Cortico–Muscular Coupling Detection

The authors present wearable noninvasive electronics that prevent a human from falling. It deducts a probable fall from EEG and EMG information and provides a real-time alarm signal for protection.

English

The rising rate of Auto Teller Machine (ATM) robbery cases in Malaysia has drawn our attention. Despite having the CCTV surveillance system, the ATM robbery has been occurring in an alarming rate recently. One of the reason is the CCTV recorded video in ATM is limited to use as forensic evidence after crime occurrence while the video for serving as a real time alarm for the security guard (usually occupied with number of monitors in the control room) during robbery has been disregarded. Real time analysis of human motion from CCTV video data can be used to notify the security guard about a suspicious individual committing burglary and thus gives chance to immediately cease the criminal red-handed. In the process of human motion analysis, at first human must be detected in an image or video following three stages namely i) environment/background modeling, ii) motion segmentation and iii) object classification. In this paper we address existing human detection methods that can be effectively used in CCTV surveillance of ATM. Specifically; first we investigate the recent records of ATM robbery cases in all over the world including Europe, America and Asia. Next, we discuss the methods used in the three steps of human motion detection explicitly. The main purpose of the study is to provide a general overview of human motion detection methods used in ATM-CCTV surveillance system

A Hospital Medical Gas Monitoring System Based on Multi-mode Optical Fiber Ring Network

This paper proposes a hospital medical gas monitoring system based on optical fiber ring network aiming to solve the problems of current medical gas monitoring, for example, the function of acquisition points is single, data transmission is not real-time, and communication distance is short. This system can display real-time gas state data and alarm in time by using the multi-function regional monitoring alarms as monitoring nodes. Meanwhile, we use multi-mode optical fiber ring network to connect the monitoring nodes throughout the hospital because of a long-distance transmission. Experimental results show that the system has the features of multifunction, safety, reliability, convenience and utility.

Design and implementation of a man-overboard emergency discovery system based on wireless sensor networks

Recently, wireless sensor networks (WSNs) have been widely employed in many different fields such as military, surveillance, health, agricultural, automation, and environmental monitoring. This paper presents a designed and implemented WSN-based man-overboard emergency discovery system, abbreviated as W-MEDS, that discovers the location of a person in emergency circumstances and runs an alarm system on a ship. The developed W-MEDS carries out a fast man-overboard (MOB) discovery and initiates the vital rescue procedure. It mainly consists of a WSN and a control and discovery system. When a MOB accident occurs, this situation is easily detected through the WSN nodes capable of real-time sensing (i.e. temperature, humidity, and acceleration) and the system enables location estimation. The control and discovery system analyzes and displays the received data from the WSN nodes. The most noteworthy advantage of the proposed W-MEDS is that it enables both real-time alarm monitoring and fast recovery. In addition to the implementation of the W-MEDS, considering hardness in performance evaluation of the real system, it has also been simulated in the OPNET Modeler to confirm the accuracy for different sizes and numbers of nodes.

Real-time Dangerous Driving Behavior Analysis Utilizing the Digital Tachograph and Smartphone

In this paper, we propose the assistance method to enable safe driving through analysis of dangerous driving behavior using real-time alarm by vehicle speed, azimuth data and smartphone. For this method, smartphone is receiving driving data from digital tachograph using communication. Safe driving habit is a very important issue to commercial vehicle because that driver's long time driving than other vehicle type driver. Existing methods are very inefficient to improve immediately dangerous driving habits during driving because proceed driving behavior analysis after the vehicle operation. We propose the new safe driving assistance method that can prevent traffic accidents by real-time and improve the driver's wrong driving habits through real-time dangerous driving behavior analysis and notification the result to the driver. We have confirmed that the method in this paper will help to improve driving habits and can be applied through the proposed method implementation and simulation experiment.

A new Self-Adaptive disPatching System for local clusters

The scheduler is one of the most important components of a high performance cluster. This paper introduces a self-adaptive dispatching system (SAPS) based on Torque[1] and Maui[2]. It promotes cluster resource utilization and improves the overall speed of tasks. It provides some extra functions for administrators and users. First of all, in order to allow the scheduling of GPUs, a GPU scheduling module based on Torque and Maui has been developed. Second, SAPS analyses the relationship between the number of queueing jobs and the idle job slots, and then tunes the priority of users’ jobs dynamically. This means more jobs run and fewer job slots are idle. Third, integrating with the monitoring function, SAPS excludes nodes in error states as detected by the monitor, and returns them to the cluster after the nodes have recovered. In addition, SAPS provides a series of function modules including a batch monitoring management module, a comprehensive scheduling accounting module and a real-time alarm module. The aim of SAPS is to enhance the reliability and stability of Torque and Maui. Currently, SAPS has been running stably on a local cluster at IHEP (Institute of High Energy Physics, Chinese Academy of Sciences), with more than 12,000 cpu cores and 50,000 jobs running each day. Monitoring has shown that resource utilization has been improved by more than 26%, and the management work for both administrator and users has been reduced greatly.

Robotic training for hand movements during manual welding with real-time alarm feedback

Purpose– The purpose of this study is to develop a robotic training system for the hand movements during manual welding. The system provides real-time notice-feedback with sound or light alarms, whenever the welding hand vibrates beyond the nominal level observed with professional welders.Design/methodology/approach– The large variations of hand movements are detected by monitoring the deviation of the tool position from a smooth curve estimated in real time by a Kalman filter. An alarm is generated in the form of a flashing light or beep sound whenever the deviations exceed a predetermined threshold. The performance of hand movements is measured in terms of the variations of the position data. Twelve novice and five professional welders took part in the experiments and answered a questionnaire that assessed the usability and work load of the system.Findings– Compared to the sound alarms, the light alarms resulted in a larger and statistically significant decrease in the variation of hand movements of the novice welders and brought the level of variation close to that of the professional welders. The alarms did not result in a significant decrease in the variation of hand movements of the professional welders. The responses to the questionnaire indicated that both professional and novice welders found the system useful and they did not experience any significant work load.Social implications– The system developed in this study can ease the training of novice welders, by speeding up the learning and reducing the need for human tutors.Originality/value– This study is first to provide real-time notice-feedback for training while manual welding, based on a comparison of the performances of novice and professional welders.

감시영역 설정을 위한 영상 기반 가상펜스 구현

The existing CCTV has limitation such as problem on usage of the off-line type of recorded image for specific investigation, and requirement on interactive operator intervention for real-time surveillance. Therefore, it is required to develop the intelligent CCTV equipped with various functionalities in order to overcome drawbacks mentioned above. In this paper, implementation methods of image-based virtual fence were proposed by using the spline curves with supplied control for setup of surveillance area. In addition, pre-alarm region within the predefined distance was established with tangent and normal lines extracted from control points. The image-based virtual fence can be used for remote detection of intrusion and provision of real-time intrusion alarm, and can be expected to use in safety-related application areas including security and crime prevention.

Design of a Remote Data Monitoring System based on Sensor Network

Aiming at the current situation of remote data monitoring, the study uses the sensor network to realize automation of remote data monitoring. This monitoring system is developed by Internet of Things technology, software technology, network evaluation technology and so on. The system has the characteristics of data real-time processing, visualization, and alarm on abnormal occasion, and has the ability to monitor data remotely and automatically.

TREC기법을 이용한 초단기 레이더 강우예측의 도시유출 모의 적용

In this study the very short-term rainfall forecasting and storm water forecasting using the weather radar data were implemented in an urban stream basin. As forecasting time increasing, the very short-term rainfall forecasting results show that the correlation coefficient was decreased and the root mean square error was increased and then the forecasting model accuracy was decreased. However, as a result of the correlation coefficient up to 60-minute forecasting time is maintained 0.5 or higher was obtained. As a result of storm water forecasting in an urban area, the reduction in peak flow and outflow volume with increasing forecasting time occurs, the peak time was analyzed that relatively matched. In the application of storm water forecasting by radar rainfall forecast, the errors has occurred that we determined some of the external factors. In the future, we believed to be necessary to perform that the continuous algorithm improvement such as simulation of rapid generation and disappearance phenomenon by precipitation echo, the improvement of extreme rainfall forecasting in urban areas, and the rainfall-runoff model parameter optimizations. The results of this study, not only urban stream basin, but also we obtained the observed data, and expand the real-time flood alarm system over the ungaged basins. In addition, it is possible to take advantage of development of as multi-sensor based very short-term rainfall forecasting technology.

How to implement telemonitoring services in an integrated care model?

Introduction: Congestive Heart Failure (CHF) is a complex syndrome characterized by the inability of the heart to expel sufficient amount of blood needed for metabolic requirements of different organs. As a result, the typical symptoms affecting patient with CHF are dyspnea and fatigue at rest or with reduced physical effort, and loss of appetite, which sometimes appear gradually over days or weeks. Epidemiological studies indicate that the prevalence of CHF is considerably high affecting 10% of the population older than 70 years old. Due to the population ageing and the increased survival to acute cardiac diseases, CHF is becoming more common, representing a public health problem. In consequence, it will become increasingly difficult to maintain the quality of care of patient suffering from CHF. In this context, home telemonitoring appears to be a promising alternative to allow healthcare professionals to follow up patient s health status more closely and then facilitating early detection of worsening symptoms. However, the effectiveness of these interventions in real conditions has not yet been sufficiently tested, since the implementation of telemonitoring services is considerably complex. Frequently telemonitoring studies do not overcome the pilot phase and do not reach the expected success when it comes to scale and place the intervention in routine practice. International Journal of Integrated Care – Volume 15, 27 May – URN:NBN:NL:UI:10-1-117013 – http://www.ijic.org/ 15th International Conference on Integrated Care, Edinburgh, UK, March 25-27, 2015 2 Aim: Define and implement cost-effective and sustainable telemonitoring services for patients with CHF within an integrated care model where each actor performs the task more suited to his/her position in the value chain. Timeline: 300 patients will be recruited from May 2014 to January 2015 and each patient will be followed up during 12 months. Methodology: Definition of crucial aspects of the telemonitoring intervention has been deeply discussed in an inter-organizational and multidisciplinary work group, reaching consensus on how to implement the services within an integrated organizational model. The working group is composed by: managers (primary care and hospitals), cardiologists, general practitioners, nursing (from primary care, hospital and eHealth Center), Telecare Centre’s director and staff from the Department of information systems. The indicators that will be measured consider health outcomes, patient s quality of life, economic and organizational aspects, patient s perception, and ethical-legal-cultural aspects. Short description of practice change implemented: The patient who meets the inclusion criteria and signs the informed consent will be enrolled in the intervention. The technical provider will be responsible for installing devices for the measurement of the heart rate, blood pressure, pulseoxymetry and weight at patient's home within a week after recruitment. In addition, a personal alarm device for 24/7 real-time emergency detection will be installed. The patient will be trained in using the telemonitoring and telecare devices. Following the clinician's prescription, the patient will routinely transmit his/her parameters at least once per week. The telemonitoring devices collect and send the data wirelessly to the gateway located at his/her home. The gateway device transmits the data collected by the patient to the alarm management system of the _Telecare Centre_. The operator of the Telecare Centre checks the data sent by the patient and activates the predefined protocol agreed by a group of professionals, including clinicians, general practitioners, nurses, general directors and representatives of the social area. When clinical parameters are out of range, the operator first verifies the alarm situation by a phone call to the patient. If the alarm is validated, the operator triggers the protocol depending on the severity of the situation. The operator contacts the _eHealth Centre_ composed of nurses; they then solve the alarm on their own, notify the _general practitione_ or the _specialist_, or activate _Emergency Department_. If the patient uses the 24/7 real-time alarm device provided, the Telecare Centre's operator can contact the Emergency Department and/or social services. In addition, the Telecare Centre also solves any technical problems arising in the use of devices. Conclusions and lessons learned: The conclusions reached at this point of the project are: Need of resource re-organization and definition of new roles. The organizational model using telemonitoring services model has to be well adapted to the routine practice. Complete telemonitoring service has to be provided (device installation, maintenance and user training) Need of both administrative management and guarantee of good quality of telemonitored data (avoiding false alarms). Patient empowerment leaded by nursing is essential. Primary Care is responsible for proactive control of the patients Technology is crucial to facilitate both coordinated management of all processes and communication between healthcare professionals. Healthcare professionals do not have to deal with different technological platforms; they should work on the Electronic Health Record of each patient.

A Low-cost Wireless Water Quality Auto-monitoring System

The water quality monitoring plays an important role in water contamination surveillance and guides the water resource protection for safe and clean water. A flexible automated real-time water quality monitoring and alarm system based on the wireless sensor network(WSN) is proposed. The WSN is built in accordance with Zigbee communication protocol, which consists of the sensor nodes, route nodes and coordinator node. The sensor nodes based on cheap and efficient sensors (pH electrode, dissolved oxygen electrode, temperature senor) and wireless transreceiver collect the environmental data and transmit to the coordinator node via the route nodes. The data are sent to the remote monitoring center with the help of GPRS. The time synchronous algorithm is adopted to wake up all the nodes in the network to improve the stability and reliability of the communication. The long-time measurement results verify the real time and accuracy in data acquisition and stability and reliability in communication. The system meets the requirements of water quality monitoring, and has great practical value.

Chemical Process Simulation for Dynamic Risk Analysis: A Steam–Methane Reformer Case Study

This paper describes how dynamic simulations of a manufacturing process can be used to construct informed prior distributions for the failure probabilities of alarm and safety interlock systems. Bayesian analysis is used starting with prior distributions and enhancing them with likelihood distributions constructed from real-time alarm data to form posterior distributions, which are used to estimate failure probabilities. The use of alarm data to build likelihood distributions has previously been investigated (Pariyani, A.; et al. AIChE J. 2012, 58, 826−841). Rare-event historical data are typically sparse and have high-variance likelihood distributions. When high-variance likelihood distributions are combined with typical high-variance prior distributions, the resulting posterior distributions naturally have high variances, preventing reliable failure predictions. In contrast with prior distributions obtained by maximizing entropy (Mohseni, T.; et al. AIChE J. 2014, 60, 1013−1026) and those that are based on expert knowledge (Meel, A.; Seider, W. D. Chem. Eng. Sci. 2006, 61, 7036−7056), this paper introduces a new repeated-simulation method to construct informed prior distributions having smaller variances, which in turn leads to posterior distributions with lower variances and more reliable predictions of the failure probabilities of alarm and safety interlock systems. The application of the proposed method is demonstrated for offline dynamic risk analysis of a steam–methane reformer process.

Development of Management Information System Based on Web GIS for Monitoring of Pipe-Jacking Engineering

The management information system based on Web GIS for monitoring of pipe-jacking engineering has been developed. The framework and emphasis of the system is introduced. The C/S( Client / Server ) structure is employed for information sharing and team cooperation; and the system has great performance under network circumstances. All the features make it as a powerful information platform for foundation pit monitoring. This system realizes the publication of the monitoring data through the network, and realizes the monitoring data visualization, real-time alarm warning function, has the vital significance to the construction safety management, monitoring information management, project risk control etc.

ISEE Smart Home (ISH): Smart video analysis for home security

This paper presents a system of smart home for home security. Many previous papers on smart home try to address this issue, but most of the published systems rely on various sensors. With the development of video technology, video based smart home becomes more attractive, but there are few literatures discussing a complete system including system architecture, feature extraction, event modeling, decision making and final information retrieval. Motivated by this challenge, we propose a novel systematical video analysis architecture, providing rich source of information about the home environment. The proposed ISEE Smart Home (ISH) is capable of analyzing various abnormal behaviors, providing realtime alarm generation, flexible video retrieval and video synopsis. The contributions can be summarized as follows: (1) we propose and build a complete smart home system based on the intelligent video analysis for home security. (2) We propose a novel foreground segmentation method based on the history pattern, which is very suitable for indoor scene analysis. (3) An exact cutting based Region of Interest (ROI) generation and scene structure modeling method is proposed for fast human detection. (4) A concurrence relation graph of visual words is developed for reliable behavior analysis. The experimental results indicate that the ISH can provide the reliable assistance for better life.