Monitoring Management System Research Articles

A data management system for long‐term natural resource monitoring and management projects with multiple cooperators

ABSTRACTCollection, processing, and long‐term storage of data for broad‐scale, collaborative natural resource monitoring and management projects poses technical and administrative challenges that, if not properly addressed, result in suboptimal management and learning. Data from many cooperators, often spanning multiple organizations, must be efficiently centralized and processed, and must be consistent in content and quality over the lifespan of such projects. We present a data management system for natural resource monitoring and management consisting of 2 components: a centralized, web‐based platform for data entry and a connected relational database for data processing, modeling, and analysis. After the data management system has been customized to meet the needs of a specific project, operation and system maintenance require minimal external technical support, making it suitable for long‐term projects that face potential staffing and budgeting constraints. We discuss the scope of projects for which this approach is applicable and document 2 U.S. Fish and Wildlife Service adaptive management case studies demonstrating this data management system: 1) Native Prairie Adaptive Management, and 2) Wetland Restoration and Sediment Removal. The standardized approach presented within is broadly applicable in collaborative natural resource monitoring and management settings and has the potential to improve management outcomes and facilitate deeper ecological understanding of systems being managed. © 2015 The Wildlife Society.

Health Care Waste generation rates and patterns: The case of Lebanon

The objective of this study is to analyze Infectious Health Care Waste generation rates and patterns in Lebanon. Therefore, the quantities generated during five years by 57 hospitals from a total of 163 in the country have been analyzed. The seasonal evolution of Infectious Health Care Waste production and the evolution of the evaluation of the trends over years have been studied. Besides, the generation per capita have been estimated and compared to other countries. The variance between categories and the correlation between number of beds and Infectious Health Care Waste generation have been analyzed. The obtained results showed that the large private hospitals (over 200 beds) are characterized by their high generation rate: an average of 2.45kg per occupied bed−1day−1, whereas the average generation rate for other categories is 0.94kg per occupied bed−1day−1. The weighted mean is 1.14 per occupied kgbed−1day−1. Small public hospitals (i.e. less than 100 beds) have the smallest standard deviation: 0.13, whereas large private hospitals (i.e. over than 200 beds) have the highest standard deviation: 0.40. Infectious Health Care Waste generation has been estimated to 1.42kg/capita/year.The correlation between the numbers of hospitals beds in hospitals and the generation rate per bed is weak. The correlation between Infectious Health Care Waste generation per day and beds number is stronger. The total quantity produced by hospitals has increased over the five past years. These results suggest that the quantities of medical waste are not well controlled, and that hospitals have a defective monitoring management system of their waste. Annual peaks are observed in June, July, and December. Thus, this study, for the first time in Lebanon, has provided information on the infectious waste generation, allowing benchmarking between hospitals and between countries.

Data Management System for Structural Health Monitoring

Optical sensors have found application in many fields, such as in Civil Engineering, Aeronautics, Energy and Oil & Gas Industries. Monitoring solutions based on this technology have proven particularly cost effective and can be applied to large scale structures where hundreds of sensors must be deployed for long term measurements of different mechanical and physical parameters. Sensors based on Fiber Bragg Gratings (FBGs) are the most common solution used in Structural Health Monitoring (SHM) and the measurements are performed by instruments known as optical interrogators. Acquisition rates increasingly higher have been possible using the latest optical interrogators, which gives rise to a large volume of data whose processing and storage can demand special softwares. This work presents the Interrogator Abstraction (InterAB) software for these purposes. The results obtained during tests in laboratory and real environment demonstrate the efficiency and flexibility of this software for different types of sensors and optical interrogators.

Characterisation and Mechanoluminescence studies of Sr2MgSi2O7: Eu2+, Dy3+

Di strontium magnesium silicate phosphor doped with specific concentration of Eu2+ (0.5 mol%) and Dy3+ (1.5 mol%) is prepared using solid state reaction technique. Sample was characterized by X-ray diffraction (XRD) and Fourier transforms infrared techniques. Scanning Electron Microscopy was done to see the morphology of prepared sample. Refined lattice parameters and bond lengths were calculated using the refined data. Mechanoluminescence (ML) studies were also done. Sample exhibited fairly good ML properties. ML spectra expressed single peak supports the formation of single emission centre due to transition of Eu2+ ions due to transitions from any of the sublevels of 4f65 d1 configuration to 8S7/2 level of the 4f7 configuration. Semi-log plots of ML were used to calculate ML decay constant. Calculated ML decay constant indicated that it has slow decay which is one of the properties of long lasting phosphors. It was considered that formation of new surface comprising of local and bulk piezoelectricity are responsible for ML emission. This fracto-mechanoluminescent material can be used in the devices like fracture sensor, impact sensor, damage sensors, safety management monitoring system, fuse system for army warheads, etc.

Enabling Cloud Computing in Emergency Management Systems

Emergencies, including both natural and man--made disasters, increasingly pose an immediate threat to life, health, property, and environment. For example, Hurricane Katrina, the deadliest and most destructive Atlantic tropical cyclone of the 2005 Atlantic hurricane season, led to at least 1,883 people's death and an estimated loss of -- 108 billion property. To reduce the damage by emergencies, a wide range of cutting-edge technologies on medicine and information are used in all phases of emergency management. This article proposes a cloud-based emergency management system for environmental and structural monitoring that utilizes the powerful computing and storage capability of datacenters to analyze the mass data collected by the wireless intelligent sensor network deployed in civil environment. The system also benefits from smartphone and social network platform to setup the spatial and population models, which enables faster evacuation and better resource allocation.

AOBA: Recognizing Object Behavior in Pervasive Urban Management

Accurately recognizing the object's behavior from the uncertain sensor data is a key issue of Internet of Things application. For example, in urban management monitoring system, it is necessary to have an autonomous analyzing module that can online monitor object's behavior based on environmental monitoring information in order to prevent an emergent situation in advance. In this work, we present an approximate object's behavior analysis method, called AOBA, which can recognize behavioral patterns of the hybrid objects which include patrolman, watering cart, street lamp etc. In intelligent urban management. AOBA consists of two phases: filtering phase and recognizing phase. In the filtering phase, a /lambda-approximate pre-matching algorithm based on q-grams distance is introduced to select possible pattern rapidly, which can discard huge amount insignificant or dirty data; in the recognizing phase, aiming to the temporal and the spatial characteristics of sensor data, an improved bit-parallel string matching algorithm is proposed to recognize the k-approximate multiple patterns over event sequences selected by the filtering phase. Experiments on real urban monitoring data and synthetic data show that the proposed method can efficiently discriminate object's behavior. Compared with the existing method, the proposed method provides a fault-tolerant approximate pattern recognition solution.

Design and Implementation of Stud-farm Daily Management System Based on C/S Structure

In order to achieve the computerization and digitization of the daily system of stud-farm, the immunization system technology, racecourse health monitoring technologies and the stud-farm prevention technologies were combined to built the stud-farm daily management system. By using Visual Studio 2008 and Microsoft Office Access 2003, an immunization information system was developed based on Client/Server structure and combined with the key immunization link of horses. The system included stud-farm immune management and racecourse health monitoring system. The immune management contained immunization information input, the inquiry of immunization information, immunization statistics, immunization-reminding and system management. The racecourse health monitoring system included stud-farm monitoring, horses monitoring and inquiry and statistics of health monitoring. The software realized the analysis and tips of the daily information in stud-farm. The software could record the appropriate data and carry on the statistics. The stud-farm daily management system greatly improved the efficiency of the expanded program about immunization and horses’ healthy rearing technique.

Oil Tank Monitoring System to Prevent Oil Pollution

With the national safety supervision departments and environmental protection departments having increasingly stringent safety monitoring requirements on large-scale flammable and explosive petroleum and chemical storage tanks, the security automatic monitoring and information management automation systems of the oil depot are increasingly being valued by the people, and it is more urgent to build the digital oil depot security monitoring management system. The new monitoring system can achieve the unified supervision of the oil depot digital business, and can also raise the comprehensive unified management level of fire protection, safety and oil plants, and can also provide remote monitoring services to the higher management level.

Policies and priorities to combat NCD challenges in India

Chronic non-communicable diseases (NCDs) have replaced communicable diseases as the most common causes of morbidity and premature mortality worldwide. Since 1980, the Government of India had supported states in prevention and control of cancer as a vertical program. However, several challenges were identified, such as: lack of comprehensive approach to key NCDs including diabetes and cardiovascular diseases; limited emphasis on health promotion and preventive measures to reduce exposure to risk factors; lack of facilities and capacity for screening, early diagnosis and effective management within the public health care system was not adequately addressed. Aiming at preventing rise of NCDs, the government launched the National Programme for Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases and Stroke (NPCDCS) in 2010 and planned to expand to all districts of the country in a phased manner. The current programme has prioritised preventive and promotive services to the general population and holistic care to the people with NCDs at primary, secondary and tertiary levels of health-care with integrated management and strong monitoring system for making services universally accessible in the country. Under the mass screening initiative, nearly 60 million people aged 30 years and above were screened for diabetes and hypertension. Those identified with raised blood sugar and high blood pressure need to be referred for further investigations, treatment and periodic follow-up. It is therefore recommended that the revised National Health Policy should duly emphasize policies and strategies to prevent and control key NCDs through population-based interventions that require multi-sectoral approach. The referral system needs strengthening and secondary and tertiary levels of health care require further strengthening key NCDs and their complications. Due attention is to be given for implementation of these programs in remote rural areas and underprivileged population in the urban areas. For India, having committed to global indicators and goals to address NCDs and risk factors by the year 2025, a missionary approach is required for effective implementation of programs.

Research on the Networked and Smart Interface Standards for Underground Water Monitoring

The networked and smart interface standards have very important role for underground water monitoring system integration, dynamic information real time acquisition and sharing. Firstly this paper introduces several interface standards as IEEE 1451, and field of environmental monitoring in the popular serial data communication interface standard SDI-12 in the Europe and the United States, then summarize their architectures, main contents and application situation,and then analyze their advantages and questions existing in the standards respective. Introduction groundwater level, water temperature automatic monitoring and remote management system implementation method based on the SDI-12 standard form. Finally puts forward interface standards which could be applied to the underground water monitoring system.

Survey of the literature on mechanoluminescence from 1605 to 2013.

Mechanoluminescence (ML) is a type of luminescence induced by any mechanical action on solids. The light emissions induced by elastic deformation, plastic deformation and fracture of solids are called elastico ML (EML), plastico ML (PML) and fracto ML (FML), respectively. Whereas nearly 50% of all organic molecular solids and inorganic salts exhibit FML, only a few solids exhibit EML and PML. The EML and FML of certain solids are so intense that they can be seen during daylight with the naked eye. Mechanolumnescence has a great potential for use in different types of mechano-optical devices such as stress sensors, damage sensors, impact sensors, fracture sensors and safety management monitoring systems. This article reports a survey of the literature from 1605 to 2013. Mechanoluminescence is studied by physicists, chemists, material scientists, geologists, medical scientists, engineers and technologists, among others and researchers will certainly benefit from the literature survey on ML given here. In addition, the field of mechanoluminescence may attract the interest of many new researchers.

Design of Data Management System for Remote ECG Monitoring

This paper presents a design schema about remote electrocardiograph (ECG) monitoring system. There are three parts in this system which include hardware detection system based on MSP430, Zigbee wireless sensor network and data management software system on PC. This paper mainly provides information for study and design of the data management software system using visual C++ program to realize immediate communication of medical monitoring. The data management software system will achieve many functions such as serial communication, real-time dynamic display of 12-lead ECG waveform and physiological parameter which include Heart Rate (HR).

공공 도로건설사업에서의 원격 현장모니터링 적용방안에 관한 연구

공공 도로건설사업은 국토교통부 소속기관 중 하나인 지방국토관리청에서 발주되며 각 건설현장은 공사관리관을 두어 관리하고 있다. 공사관리관은 다수의 공사현장을 수시로 방문하여 현장을 점검 감독함에 따라 현장까지 이동하는데 많은 시간과 비용이 소요됨으로 현장관리 업무의 효율화가 요구되고 있다. 이에 공사관리관의 업무효율성 제고를 위해 현장방문을 최소화하고, 원격지에서 공사 진척현황을 실시간으로 모니터링 할 수 있도록 현장모니터링 관리 체계의 도입이 필요하다. 본 연구에서는 공공 도로건설공사를 대상으로 웹카메라(Web camera)를 활용한 원격 현장모니터링시스템을 구축하였다. 또한 10개 건설현장을 선정하여 시범적용을 실시하고, 효과분석을 통해 적용성을 검증하였다. 적용성 검증 결과, 웹카메라를 활용한 원격 현장관리는 기존 현장관리 방식에 비해 약 35% 정도의 비용절감효과를 갖는 것으로 분석되었다. 마지막으로 현장모니터링 관리 체계의 적용을 위한 가이드라인 마련과 도입방안을 검토하고, 개선방안을 제시하였으며, 이를 통해 불필요한 현장방문을 최소화하고, 현장의 취약지점에 대한 위험요소를 사전에 차단하여 각종 재난 및 재해를 사전에 예방할 수 있도록 하였다. 아울러 안전사고 예방과 부실시공의 근절을 통한 시설물의 품질을 향상시키리라 기대된다. The public road construction projects awarded by the regional construction and management office, which is an affiliate of the Ministry of Land, Infrastructure and Transport, are managed by construction supervision officers. These officials frequently visit a large number of construction sites to conduct inspections and supervision tasks. Therefore, the site management efficiency is essential in terms of the time and money spent in travelling to the sites. The introduction of a site monitoring management system is considered necessary to minimize the number of site visits and enable remote monitoring of the construction progress to enhance the business efficiency of the construction supervision officers. In this study, a remote site monitoring system was constructed using web cameras for public road construction works. The trial applications were implemented by selecting ten constructions sites. The effectiveness of the system was analyzed to assess its applicability. In an assessment of the applicability of the verification results, remote site monitoring showed cost savings of approximately 35% compared to the existing site management. The guidelines for applying the site monitoring management system were provided, the introduction plan was investigated, and the improvement method was presented. The results showed that the system is likely to minimize the unnecessary site visits, remove the risk factors at vulnerable areas in the sites beforehand, and prevent a range of disasters and accidents. In addition, the quality of the infrastructures is likely to improve through the prevention of accidents and the elimination of substandard and faulty construction work.

CNGI/ChinaFLUX: an IPv6-based Terrestrial Ecosystem Flux Research Network in China

In this manuscript, we introduce the first-step research and development on CNGI/ChinaFLUX, which is supported by CNGI (China Next Generation Internet) Project. From May 2012, we set up an IPv6-based real-time carbon flux observation system in ten sites, based on the Chinese Terrestrial Ecosystem Flux Research Network (ChinaFLUX). The hardware environment construction includes IPv6-based data transmission network platform, data acquisition system, data storage and processing system. The software environment construction includes IPv6-based observation device monitoring system, data storage and management system. Researchers develop a series of research applications in CNGI/ChinaFLUX network.

Research on the Semi-Physical Simulation Technology of High Pressure Common Rail Electronic Control System for Low-Speed Marine Diesel Engine

In this paper, the semi-physical simulation technology is introduced with the design and implementation of a semi-physical simulation test bench. A certain low-speed marine diesel engine of high pressure common rail (HPCR) electronic control system is taken as the subject of the test bench. In order to retain the functional and structural features of the HPCR electronic control system, the essential components are in consistent with the target engine, and some auxiliary parts are simplified and reformed. Specially, a real-time simulation model is built based on the principles of Mean Value Engine Model and cylinder moving method, which captures the requirements of ECU, such as the crank angle, the exhaust valve stroke signal, the scavenging pressure and so on. Therefore a closed-loop control system is accomplished including a real-time controller deployed in the simulation model, ECU and the executing agency of HPCR system. Additionally a monitoring management system is developed for the test bench with the functions of acquiring signals, monitoring parameters, storing data, alarming and etc. Finally, some tests are finished in the test bench and through analyzing the experimental results, the test bench can perform the characteristics and functions of the HPCR electronic control system. The semi-physical simulation technology can be used for the functional verification and performance test of HPCR electronic control system for the low-speed marine diesel engine.

Design of Maize Production and Management Monitoring and Control System Based on Wireless Sensing Data

The low water and nitrogen utilization rates and environmental pollution as a result of the excessive irrigation and fertilization had been paid more and more attention. Adopting the simulation model based on physiological processes to study the optimization method and control technology of agricultural production and management is important to water-saving, rational fertilization and healthy environment. The maize (Zea mays L) is taken as material to explore the integration method of crop simulation with wireless sensing data. First the time scale and temporal scale of wireless sensing data will be unified with simulation step of crop model when the parameters are used as model inputs. Then the relationship between nitrogen balance and soil moisture will be analyze to construct maize production and management monitoring and control system based on wireless sensing data. The system can not only simulate the real-time and dynamic maize growth and development, but also provide the irrigation and fertilization schedule to distribute the annual natural resources depend on the users production goal. The expected forecast results will offer theoretical basis and technological support for intelligent control, water and fertilizer utilization, and management of agricultural production departments.

The Design and Implementation of the Information Remote Monitoring and Security Management System Based on Internet

With the development of economy, the existence and application of the inflammable, explosive, toxic and harmful gases irresistible but dangerous at the same time in the industrial production application. for the sake of minimizing potential dangers, the remote security monitoring is of great significance. With the rapid development of network technology, the Internet network technology to implement the remote monitoring can effectively avoid some potential hazards in the industrial production and other dangerous things. We can draw a conclusion from the feedback that the effect of user experience is not ideal in the actual application. So based on the analysis of the traditional structure of remote monitoring system, a new remote monitoring system is created which can avoid these shortcomings through further research. This new system consists of three parts: 1. The client: using Flex rich client technology is more convenient and suitable for communication interface and let the customer feel familiar and easy to use. 2. data management layer: it contains three parts : the Web server layer, application server and database server layer . Application server promotes system real-time performance through Web Service technology, Shared memory and streaming Socket technology, which enables clients to have direct access to the site. 3. Data acquisition layer: data will be collected in a timely manner to send to data management with GPRS technology.

Urban Bridges Temperature Measurement System Based on Fiber Bragg Grating Sensing Technology

In recent years, with the rapid urbanization process and increased accidents of bridge damage and collapse, the research of bridge health monitoring and early-warning technology for the public safety has been promoted. Temperature load is one of the main loads to incur the deformation and the variation of stress of bridges. So temperature measurement is an important component of health monitoring for urban bridges. In this paper, a smart temperature measurement system is described which takes advantage of FBG sensor performance characteristics to improve the bridge temperature measurement. At present, the system has been integrated and applied in the project of main roads bridge Online Safety Monitoring Management System in Hangzhou (Phase II), a web-based urban bridge cluster monitoring system have been established since 2007. According to a tied arch bridge case studies, the one-year measurement data shows that the system not only can accurately collect the bridge temperature information and variety, but also successfully improve the performance benefits such as reduced measurement uncertainty, increased robustness, and failure prediction and detection.

Design and Implement of the Urban Bridge Cluster Monitoring Online Assessment System

Bridge health monitoring system (BHMS) is a package of technologies for structural monitoring, control, maintenance and management. Making use of the fusion of technologies from different disciplines, such as sensing, communication, signal processing, system identification, etc., the system is empowered to simultaneously get all kinds of information which reflect the safety conditions of bridge structure, and provide scientific proof for the analysis of bridge health. The assessment method is the core of the BHMS. In the conventional assessment procedure, there is significant influence of subjective factors involved. A feasibility study on the use of fuzzy comprehensive evaluation method in the bridge condition assessment is presented in this paper. The applications of fuzzy mathematics in condition assessment of bridges were discussed. Based on the research of present methods, analytical hierarchy process and fuzzy mathematics were integrated and applied in condition assessment of the project of main roads bridge Online Safety Monitoring Management System in Hangzhou (Phase II), a web-based urban bridge cluster monitoring system have been established. From a continuous beam bridge case study, it is observed that the fuzzy comprehensive evaluation method is capable of simulating the bridge condition evaluation process and has a good application.

Design of Alarm Information in WLAN Monitoring System in Manufacturing Engineering

Based on constructing a new wireless remote monitoring and control systems, this paper aims at giving the detail design of alarm information. The system is designed to achieve a real-time monitoring and intelligent management systems. It has multiple functions: real-time network monitoring, real-time protocol analysis, information, statistics, safety testing and network performance monitoring, etc. The alarm information module is one of the important modules in WLAN monitoring system.