Remote Monitoring Platform Research Articles

Study of Mine Air Compressors’ Remote Monitoring and Fault Diagnosis Expert System

In order to improve the degree of automation of the mine air compressor system, To achieve the remote monitoring and real-time fault diagnosis of the mining air compressors, using Siemens PLC as the data acquisition hardware platform, the host computer using the software of the Kingview and Power Builder9.0 construct the air compressors remote monitoring and fault diagnosis expert system platform, To achieve the remote air compressors parameters real-time acquisition, display, fault diagnosis, as well as remote start and stop the air compressors ,loading and unloading control, while the air compressors room remote real-time monitoring, ensure the security and stability of the air compressors system.

Cyber Physical Systems Using Sensor Technologies

Cyber-physical systems (CPSs) have grown exponentially and have been attracting a lot of attention over the last few years because of cyber and the physical (natural and humanmade) components that are being tightly integrated into many systems. Smart or intelligent sensor networks should be provided with the 3C (computation, communication, and control) abilities. Emerging applications include transportation, energy, healthcare, manufacturing, entertainment, consumer electronics, environment monitoring, and many parts of our social infrastructure. There are eight papers selected for publication in this special issue. Most of the selected papers present the design and implementation of cyberphysical systems applied to several areas, including safety surveillances, rehabilitation, smart living space, and so on. G. Manes et al. propose a continuous remote monitoring platform which consists of sensor nodes and a gateway. The sensor nodes deployed at the hazardous sites will forward data to the platform through the gateway to improve the transmission reliability. The proposed platform uses volatile organic compound (VOC) detectors which are able to perform real-time analysis in potentially hazardous sites at unprecedented time/space scale. Overall, the platform provides an easily deployable stand-alone infrastructure with a high degree of scalability and reconfigurability with minimal intrusiveness or obtrusiveness. C.-M. Own proposes the pet care system by establishing a location-aware infrastructure such that pet owners can timely monitor the pet’s situation. The system applies the concepts of CPS and provides pet owners with the ability to remotely obtain their pet information and control the smart home of the pet. To monitor the behavior of the pet, a sensor tag is fixed on the collar of the pet and a location-aware algorithm was proposed to improve the location accuracy of the pet. Based on the pet’s behavior, an intelligent pet door and a smart pet feeder are implemented using smart-home technology. Consequently, the proposed system can meet the needs of many pet owners.

Remote monitoring of cardiovascular devices: a time and activity analysis

Expanding indications for cardiovascular implantable electronic devices are accompanied by an increasing burden of device clinic follow-up. Remote monitoring (RM) may be less time-consuming compared to in-office follow-up; however, its effect on the device clinic workflow has not been clarified. To determine the impact of RM on device clinic workflow. Detailed workflow data were prospectively collected over a 2-week period in a busy device clinic. Five hundred remote transmissions were received from 434 patients between March 1 and March 16, 2011--346 implantable cardioverter-defibrillator, 84 pacemaker, and 70 implantable loop recorder transmissions--on 4 RM platforms (CareLink 56.4%, Merlin.net 21.4%, LATITUDE 17.8%, and Home Monitoring 4.4%). The mean time spent per transmission was 11.5 ± 7.7 minutes, which was less than in-person interrogations (27.7 ± 9.9 minutes; P <.01). Of 500 transmissions, 135 (27.0%) demonstrated clinically important findings; however, only 41 (8.2%) were forwarded for physician review. Of 500 transmissions, 138 (27.6%) were unscheduled, and these were more likely to contain a clinically important event (56 of 138 [40.6%] vs 79 of 362 [21.8%]; P = .0001). A total of 5.8% of the transmissions were duplicate. Transmissions that revealed clinically important findings took longer to process than those that did not (21.0 ± 7.4 minutes vs 10.1 ± 2.1 minutes; P <.05). A total of 49.2% of the scheduled remote transmissions were missed because of patient noncompliance. Telephone follow-up of patients (mean 21 patients/d) who missed scheduled remote transmissions took a mean of 55.1 (range 20-98) min/d. Analysis of RM transmissions has significant implications for the device clinic workflow. Nonactionable transmissions are rapidly processed, allowing clinicians to focus on clinically important findings. However, poor patient compliance complicates the workflow efficiency of currently available systems.

Remote monitoring of cardiovascular implanted electronic devices: a paradigm shift for the 21st century

Traditional follow-up of cardiac implantable electronic devices involves the intermittent download of largely nonactionable data. Remote monitoring represents a paradigm shift from episodic office-based follow-up to continuous monitoring of device performance and patient and disease state. This lessens device clinical burden and may also lead to cost savings, although data on economic impact are only beginning to emerge. Remote monitoring technology has the potential to improve the outcomes through earlier detection of arrhythmias and compromised device integrity, and possibly predict heart failure hospitalizations through integration of heart failure diagnostics and hemodynamic monitors. Remote monitoring platforms are also huge databases of patients and devices, offering unprecedented opportunities to investigate real-world outcomes. Here, the current status of the field is described and future directions are predicted.

New generation dynamic, wireless and remote cardiac monitorization platform: A feasibility study

A major aim in cardiovascular medicine is to improve the lives of cardiac patients and to reduce healthcare costs by improving cardiac events prevention, and new technologies may help to reach this purpose [ 1 Gopalsamy C. Park S. Rajamanickam R. Jayaraman S. The wearable motherboard: the first generation of adaptive and responsive textile structures (ARTS) for medical applications. J Virtual Real. 1999; 4: 152-168 Crossref Scopus (130) Google Scholar , 2 Brage S. Ekelund U. Brage N. et al. Hierarchy of individual calibration levels for heart rate and accelerometry to measure physical activity. J Appl Physiol. 2007; 103: 682-692 Crossref PubMed Scopus (211) Google Scholar ]. Nuubo's dynamic ECG (nECG Platform) is a new generation proprietary wireless remote monitoring platform, which consists of a non-invasive and single-lead dynamic ECG system that incorporates biomedical e-textile technology (Fig. 1).

A Microprocessor-Based Monitoring and Control System via Internet in Case Study of Pet Care

Since the past years, the microprocessor (8051) has been still playing an indispensable role as a controller in industry applications because of fast executing process, low-cost, small size and low power consumption, etc. It, however, usually lacks of long distance transmission, graphical interface and vision. On the other hand, VB is now a very popular software package for graphical interface design due to easy exploring and low price. Combining both superiorities as above, this paper develops a remote visional microprocessor-based monitoring and control platform using VB graphical interface. The nearby PC (server) can collect real-time sensing signals from the 8051 through RS232 and transmit it to remote PCs (client) for on line monitoring mechanism via Internet. Also, the client can send the control signals to the server and thus control the 8051. The real-time case study for feeding care in the Pet House is provided to verify its well performance and remote Web-based capability in term of fast, simple and robust performance.

Study on Remote Condition Monitoring Platform in Wind Energy Conversion Systems Based on AJAX Technology

There is a constant need for the reduction of operational and maintenance costs of Wind Energy Conversion System (WECS). The most efficient way of reducing these costs would be to continuously monitor the condition of these systems, which allows for early detection of the degeneration of the generator health, facilitating a proactive response, minimizing downtime, and maximizing productivity. Wind generators are also inaccessible since they are situated on extremely high towers, which are usually 70m more in height. There are also plans to increase the number of offshore sites increasing the need for a remote means of WECS monitoring that overcomes some of the difficulties of accessibility problems. Therefore it is important of condition monitoring and fault diagnosis in WECS. A monitoring scheme of transfer its monitor status with AJAX technology was put forwords in this paper. A remote condition monitoring platform (RCMP) was designed and constructed in this project. And its result brings us an effective solution to deal with the WECS condition monitoring.

Study on Fault Diagnosis Platform in Wind Energy Conversion Systems Based on JESS

There is a constant need for the reduction of operational and maintenance costs of Wind Energy Conversion System(WECS). The most efficient way of reducing these costs would be to continuously monitor the condition of these systems, which allows for early detection of the degeneration of the generator health, facilitating a proactive response, minimizing downtime, and maximizing productivity. Wind generators are also inaccessible since they are situated on extremely high towers.There are also plans to increase the number of offshore sites increasing the need for a remote means of WECS monitoring that overcomes some of the difficulties of accessibility problems. Therefore it is important of condition monitoring and fault diagnosis in WECS. The monitoring schemes of transfer its monitor status with JESS technology was put forward in this paper. A remote condition monitoring platform (RCMP) was designed and constructed in this project. And its result brings us an effective solution to deal with the WECS condition monitoring.

Remote Health Monitoring of Heart Failure With Data Mining via CART Method on HRV Features

Disease management programs, which use no advanced information and computer technology, are as effective as telemedicine but more efficient because less costly. We proposed a platform to enhance effectiveness and efficiency of home monitoring using data mining for early detection of any worsening in patient's condition. These worsenings could require more complex and expensive care if not recognized. In this letter, we briefly describe the remote health monitoring platform we designed and realized, which supports heart failure (HF) severity assessment offering functions of data mining based on the classification and regression tree method. The system developed achieved accuracy and a precision of 96.39% and 100.00% in detecting HF and of 79.31% and 82.35% in distinguishing severe versus mild HF, respectively. These preliminary results were achieved on public databases of signals to improve their reproducibility. Clinical trials involving local patients are still running and will require longer experimentation.

Development of a fully implantable wireless pressure monitoring system

A fully implantable wireless pressure sensor system was developed to monitor bladder pressures in vivo. The system comprises a small commercial pressure die connected via catheter to amplifying electronics, a microcontroller, wireless transmitter, battery, and a personal digital assistant (PDA) or computer to receive the wireless data. The sensor is fully implantable and transmits pressure data once every second with a pressure detection range of 1.5 psi gauge and a resolution of 0.02 psi. In vitro calibration measurements of the device showed a high degree of linearity and excellent temporal response. The implanted device performed continuously in vivo in several porcine studies lasting over 3 days. This system can be adapted for other pressure readings, as well as other vital sign measurements; it represents the first step in developing a ubiquitous sensing platform for telemedicine and remote patient monitoring.

A GSM-based remote wireless automatic monitoring system for field information: A case study for ecological monitoring of the oriental fruit fly, Bactrocera dorsalis (Hendel)

Monitoring field conditions is the foundation of modern agricultural management. In order to improve the efficiency of the data collection procedure, and to improve the precision with which agricultural operations are managed, it is necessary that we have an automated system that collects environmental data, especially to record long-term and up-to-the-minute environmental fluctuations. The purpose of this study was to design a remote pest monitoring system based on wireless communication technology. This system automatically reports environmental conditions and traps pest in real-time. The data we acquired was integrated into a database for census and further analysis. The system consists of two components, a remote monitoring platform (RMP) and a host control platform (HCP). Furthermore, based on the bio-characteristics of the oriental fruit fly, a high precision automated trapping and counting device was designed. This device counts the number of trapped flies and then sends the information back to the RMP. The RMP is in charge of acquiring the environmental data and the number of trapped flies, and it sends all the data back to the HCP in the form of a short cell phone message through the wireless Global System of Mobile Communication (GSM). Our system then transmits the data via a commercial base station. The system can work properly based on the effective coverage of base stations, no matter the distance from RMP to HCP. The function of the HCP is to receive and store, display, and analyze the database on line. It also provides functions like inquiries, early warning, and announcements. The system was field tested over a 1-year period (March 2006 to July 2007), and the experimental results demonstrated that it can monitor the environmental parameters and population dynamics of the oriental fruit fly in real-time. Based on the long-term monitoring database acquired by our system, the relationship between the population dynamics of the fruit fly and the environmental changes can be easily analyzed. With the help of this system, researchers can judge the correlation of the occurrence of the oriental fruit fly and climate conditions. Since the long-term database provides us with the details of the population dynamics of the fruit fly, the system allows us to control the pest in time and reduce agricultural losses. The experimental results demonstrate that large scale, long distance, and long-term monitoring for agricultural information can be achieved by using our proposed monitoring system. Much improved spatial resolution and temporal resolution is obtained compared to traditional methods for monitoring the data of the oriental fruit fly based on environmental changes.

원격 감시제어를 위한 웹 서비스 S/W 플랫폼 설계 및 구현

본 논문은 원격 감시 제어를 위한 효율적인 웹 서비스 S/W 플랫폼을 제안한다. 웹 서비스의 성능 향상을 위해 서블릿 컨테이너를 제거함으로써 웹 서비스 구현의 필수 구성요소인 gSOAP 처리를 향상시켰으며, 로봇 또는 유비쿼터스 센서 응용에 적용이 가능한 경량화 된 웹 서비스 서버/클라이언트 소프트웨어 플랫폼을 설계하였다. 본 연구 결과를 검증하기 위하여 PXA270 프로세서를 탑재한 LDS4000 엔진 보드에 탱크와 센서 등을 결합한 감시 제어용 로봇 하드웨어를 제작하였으며, 웹 서비스 클라이언트 응용과 기존의 웹 서버를 통한 원격 감시 제어 기법 간의 gSOAP 메시지 교환 부하를 비교함으로써 본 연구 결과에 대한 실용적 우수성과 그 효율성을 검증하였다. In this paper, we propose an effective web service software platform for remote monitoring and control. We removed the servlet container for better web service performance so as to improve the gSOAP processing which is an essential element of web service implementation. Furthermore, we designed the web service server/client software platform which can be applied to robot or ubiquitous sensor applications. For validation of this study we tested it by manufacturing robot hardware for monitoring control which combined tanks and sensors on a LDS4000 engine board mounted with a PXA270 processor. The practical excellence and the efficiency of the result of this study was validated by the comparison of gSOAP message exchange load between the web service client application and the conventional remote monitoring control technique through a web server.

Development and application of internet-based remote monitoring and diagnostic platform for key equipment

Requirements for high efficiency in manufacturing, while pushing the development of key equipment, need high-performance maintenance as a safeguard. Internet-related techniques are enabling remote monitoring and maintenance to extend beyond local areas. Considering the need for software architecture with openness and interchangeability for flexible selection and replacement of data analysis techniques, this research develops a standardized multi-layer platform using Web Services, realizing data transmission among networks. The independence between the software platform and data analysis guarantees their research and development in parallel. Studies were done on nonlinear-data-analysis techniques, such as wavelet neural networks for fault diagnostics, particle filters for estimates, and support vector regression for condition prediction. These studies were included in a comprehensive application. The experimental results support condition-based maintenance for key equipment.

A framework of security and safety checking for internet-based control systems

Internet-based control is a way of using the internet as a platform for remote monitoring and control operation. The obvious benefit is to enable remote monitoring and maintenance of process plants and to initiate global collaboration and data sharing between operators from geographically dispersed locations. However, connection to an open network and the use of universal technology present high safety and security risks to the new generations of control systems. Are we opening up our internet-enabled control systems for trouble since a number of malicious hackers continually attack web servers on the internet? The new type of control systems will never be accepted by industries if people do not have enough confidence in their safety and do not feel secure by using the system. This paper presents a framework of security and safety checking, used in the design of internet-based control systems. Based on the existing measures of physical and network securities, such as firewall and comprehensive user-authorised access control, the framework proposed in this paper focuses on the security of control commands transferred over the internet, responding actions to malicious attacks and system safety. An internet-based control system for a process rig is used as a case study to illustrate the implementation of the framework.

SAFETY AND SECURITY CHECKING IN THE DESIGN OF INTERNET BASED CONTROL SYSTEMS

Internet-based control is becoming new generations of control systems, in which the Internet is used as a platform for global remote monitoring and control. The obvious benefit is to enable global collaboration and data sharing between operators from geographically dispersed locations. However, connection to an open network and the use of universal technology presents new problems that did not exist with the conventional design and construction of control systems, such as safety and security. This paper presents the safety and security checking procedures used in the design of Internet based control systems. A process control case study is used to illustrate the checking procedures.

Use of a real-time remote monitoring network (RTRM) and shipborne sampling to characterize a dinoflagellate bloom in the Neuse Estuary, North Carolina, USA

The spatial-temporal distribution of a dinoflagellate bloom dominated or co-dominated by Prorocentrum minimum was examined during autumn through early spring in a warm temperate, eutrophic estuary. The developing bloom was first detected from a web-based alert provided by a network of real-time remote monitoring (RTRM) platforms indicating elevated dissolved oxygen and pH levels in upper reaches of the estuary. RTRM data were used to augment shipboard sampling, allowing for an in-depth characterization of bloom initiation, development, movement, and dissipation. Prolonged drought conditions leading to elevated salinities, and relatively high nutrient concentrations from upstream inputs and other sources, likely pre-disposed the upper estuary for bloom development. Over a 7-month period (October 2001–April 2002), the bloom moved toward the northern shore of the mesohaline estuary, intensified under favorable conditions, and finally dissipated after a major storm. Bloom location and transport were influenced by prevailing wind structure and periods of elevated rainfall. Chlorophyll a within bloom areas averaged 106 ± 13 μg L −1 (mean ± 1 S.E.; maximum, 803 μg L −1), in comparison to 20 ± 1 μg L −1 outside the bloom. There were significant positive relationships between dinoflagellate abundance and TN and TP. Ammonium, NO 3 −, and SRP concentrations did not decrease within the main bloom, suggesting that upstream inputs and other sources provided nutrient-replete conditions. In addition, PAM fluorometric measurements (09:00–13:00 h) of maximal PSII quantum yield ( F v/ F m) were consistently 0.6–0.8 within the bloom until late March, providing little evidence of photo-physiological stress as would have been expected under nutrient-limiting conditions. Nitrogen uptake kinetics were estimated for P. minimum during the period when that species was dominant (October–December 2001), based on literature values for N uptake by an earlier P. minimum bloom (winter 1999) in the Neuse Estuary. The analysis suggests that NH 4 + was the major N species that supported the bloom. Considering the chlorophyll a concentrations during October and December and the estimated N uptake rates, phytoplankton biomass was estimated to have doubled once per day. Bloom displacement (January–February) coincided with higher diversity of heterotrophic dinoflagellate species as P. minimum abundance decreased. This research shows the value of RTRM in bloom detection and tracking, and advances understanding of dinoflagellate bloom dynamics in eutrophic estuaries.