Early Warning Platform Research Articles

Research on Cloud Platform for Safety Supervision and Early Warning of Small Reservoirs

In order to meet the urgent needs of safety supervision and early warning of small reservoirs in China, and take the advantages of modern information technology in automation and intelligence, the overall design of cloud platform for safety supervision and early warning of small reservoirs is carried out from two aspects, one is based on cloud technology platform architecture, the other is the discussion of trusted operation mode. Small reservoirs have some daily management problems, such as limited funds, remote and complex environment, and weak technical force. This paper analyses and implements the core content and key technologies of platform construction, such as integrated intelligent monitoring system, platform business application system, and professional service. The informationization means and preliminary scheme for safety supervision and early warning of small reservoirs with high stability, high cost performance and scientific advancement are put forward.

Study on Risk Assessment and Early Warning Platform for Voltage Sag

Voltage sag, as an unavoidable power quality problem, has been attracted wide attention. Voltage sag risk assessment and early warning technology research have great significance for power supply companies and power users. This paper conducts the quantitative assessment of voltage sag risk based on the fault intensity and probability distribution of each component in power grids. In addition, a voltage sag automatic assessment and early warning platform is developed, which can visualize the failure probability of power grid components.

A prototype web-based analysis platform for drought monitoring and early warning

ABSTRACT It has long been recognized that an effective drought monitoring and early warning system, which provides functions for real-time condition monitoring and prediction, risk assessment, information dissemination and response recommendation, is very important for the preparedness for and mitigation of drought impacts. In this article, we review the currently existing drought monitor and early warning systems, discuss applicable remote sensing datasets and drought indicators and present the development of a web-based quasi-real-time Global Drought Monitoring & Analysis Platform (Web-GDMAP). The Web-GDMAP is built upon a series of indicators derived from multi-source satellite remote sensing data and various other sources of data. From a technical perspective, the Web-GDMAP system includes a series of components from data storage, model implementation and distribution, to client-side visualization and user intuitive interaction. From a theoretical perspective, the Web-GDMAP system integrates multi-indicators on different aspects of drought, including anomalies in precipitation, anomalies in land surface thermal and vegetation conditions, water deficit of soil and plants, etc. Several case studies on applying the developed Web-GDMAP in the Asian region are demonstrated. Further improvements and perspectives are discussed.

SYSTEM FOR PREDICTION OF CARBOXYHEMOGLOBIN LEVELS AS AN INDICATOR FOR ON-TIME INSTALLATION OF SELF-CONTAINED SELF-RESCUERS IN CASE OF FIRE IN UNDERGROUND MINES

Accidents associated with fires and exposure to toxic gases are one of the main causes of injury and death in underground mines. This kind of accidents requires implementation of systems and approaches to tighten and promote underground mine safety. This paper introduces a system for real-time monitoring of carbon monoxide (CO) for prediction of carboxyhemoglobin (COHb) levels in human blood for an early-warning platform and indicator for on-time installation of self-contained self-rescuer (SCSR) device in case of fire in underground mines. The proposed system seamlessly integrates monitoring and analyzing approaches using Arduino, sensor board and smartphone with a specially developed app with Coburn, Forster, Kane (CFK) model for the prediction of COHb (%). This system is designed to predict the COHb (%) formation and also alert and identify the safety limit for on-time installation of SCSR in which the user is still not affected by the clinical symptoms of CO inhalation. The idea for this paper derived from the Sago mine explosion report from which confusion and insufficient training are identified about when to install the SCSR. The main contribution of this paper is the development of a prototype system with an open source and cost-effective platform for solving the problems associated with on-time installation of SCSR, on which the process for effective evacuation in case of fire scenario in underground mines depends. Keywords: Underground mines, safety, system, SCSR, COHb DOI 10.35180/gse-2019-0021

Early warning platform and its potential for non-coal mine goaf monitoring based on an optical fiber sensing network

Remote monitoring of a mine goaf (defined as that part of the mine from which the mineral deposit has been wholly or partially removed) is challenging, to create an early warning of potential mine collapse. In this paper, optical fiber sensing technology is applied to setting up a monitoring network and from it, through data collection and analysis, an early warning platform can be developed. When the monitoring data are collected, an analysis of dynamic disaster theory is used and the potential for the occurrence of collapse potentially can be determined. This approach provides an important means to predict sudden collapse and avoid loss of life and property in the mined-out area underground. Typical field data produced show that the monitoring results mirror the actual situation seen in mines in China, showing the value of optical fiber sensing technology for accurate monitoring of mined out areas of such workings.

Smart monitoring of hog sewage under ecological treatment mode

To solve problems of lacking adequate evidences and real-time monitoring in the process of monitoring sewage disposal, and improve the monitoring efficiency of the sewage disposal and emergency response capability of pig farms, we presented an exploratory smart monitoring strategy, model and Ecological analysis method on hog sewage disposal under the ecological treatment mode. Based on the treatment process of hog sewage and the analysis of the monitoring principle of hog sewage disposal under the ecological treatment mode, the research proposed to use multiple sensors to monitor and collect the real-time data and conduct qualitative and quantitative analysis of the data with the Ecological mathematical method. Using the Ecological method, this paper analyzed and built a smart monitoring model for hog sewage disposal under the ecological treatment mode, and proposed the data monitoring procedures and algorithm to make the real-time judgment of the inappropriate disposal of hog sewage. Application of the strategy to building an early-warning platform of hog sewage disposal can effectively conduct the real-time monitoring of hog sewage disposal, and improve the efficiency and accuracy of the sewage disposal monitoring.

A Real-Time Social Media Monitoring System as an Open Source Intelligence (Osint) Platform for Early Warning in Crisis Situations

Abstract In the past years, the number of active users on social networking websites has increased exponentially. The popularity of these websites is due to the fact that users aren't the only content consumers (e.g., news, information, entertainment), they can also generate content and collaborate with other users. In case of the occurrence of unexpected events, such as natural disasters or human atrocities, active users can react in real time by uploading or sharing comments, photos, audio and video recordings, meaning that the amount of data generated and related to the event will be huge. These immediate and dynamic reactions of the users provide insight on the severity of the event and can help identify present or potential factors which could cause the crisis situation to destabilize. The first goal of intelligence is to obtain information on the situation's awareness. In this context, a realtime social media monitoring system can provide a snapshot of the happenings around the unexpected event, therefore it can be an open source intelligence (OSINT) platform for early warning in crisis situations. Furthermore, using intelligent technology, such as data mining, the system can support decision makers to anticipate the evolution of the crisis and take preventive actions to avoid escalating the crisis

A review of advances in China\u2019s flash flood early-warning system

This paper summarizes the main flash flood early-warning systems of America, Europe, Japan, and Taiwan China and discusses their advantages and disadvantages. The latest development in flash flood prevention is also presented. China’s flash flood prevention system involves three stages. Herein, the warning methods and achievements in the first two stages are introduced in detail. Based on the worldwide experience of flash flood early-warning systems, the general research idea of the third stage is proposed from the viewpoint of requirements for flash flood prevention and construction progress of the next stage in China. Real-time dynamic warning systems can be applied to the early-warning platform at four levels (central level, provincial level, municipal level, and county level) . Through this, soil moisture, peak flow, and water level can be calculated in real-time using distributed hydrological models, and then flash flood warning indexes can be computed based on defined thresholds of runoff and water level. A compound warning index (CWI) can be applied to regions where rainfall and water level are measured by simple equipment. In this manner, flash-flood-related factors such as rainfall intensity and antecedent and cumulative rainfall depths can be determined using the CWI method. The proposed methodology for the third stage could support flash flood prevention measures in the 13th 5-Year Plan for Economic and Social Development of the People’s Republic of China (2016–2020). The research achievements will serve as a guidance for flash flood monitoring and warning as well as flood warning in medium and small rivers.

An Event Reporting and Early-Warning Safety System Based on the Internet of Things for Underground Coal Mines: A Case Study

Fatal accidents associated with underground coal mines require the implementation of high-level gas monitoring and miner’s localization approaches to promote underground safety and health. This study introduces a real-time monitoring, event-reporting and early-warning platform, based on cluster analysis for outlier detection, spatiotemporal statistical analysis, and an RSS range-based weighted centroid localization algorithm for improving safety management and preventing accidents in underground coal mines. The proposed platform seamlessly integrates monitoring, analyzing, and localization approaches using the Internet of Things (IoT), cloud computing, a real-time operational database, application gateways, and application program interfaces. The prototype has been validated and verified at the operating underground Hassan Kishore coal mine. Sensors for air quality parameters including temperature, humidity, CH4, CO2, and CO demonstrated an excellent performance, with regression constants always greater than 0.97 for each parameter when compared to their commercial equivalent. This framework enables real-time monitoring, identification of abnormal events (>90%), and verification of a miner’s localization (with <1.8 m of error) in the harsh environment of underground mines. The main contribution of this study is the development of an open source, customizable, and cost-effective platform for effectively promoting underground coal mine safety. This system is helpful for solving the problems of accessibility, serviceability, interoperability, and flexibility associated with safety in coal mines.

京津冀城市群地区生态安全格局构建与保障对策

PDF HTML阅读 XML下载 导出引用 引用提醒 京津冀城市群地区生态安全格局构建与保障对策 DOI: 10.5846/stxb201610142085 作者: 作者单位: 中国科学院生态环境研究中心城市与区域生态国家重点实验室,中国科学院生态环境研究中心城市与区域生态国家重点实验室,中国科学院生态环境研究中心城市与区域生态国家重点实验室,中国科学院生态环境研究中心城市与区域生态国家重点实验室 作者简介: 通讯作者: 中图分类号: 基金项目: 国家重点研发计划项目（2016YFC0503000） Developing key technologies for establishing ecological security patterns at the Beijing-Tianjin-Hebei urban megaregion Author: Affiliation: State Key Laboratory of Urban and Regional Ecology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,State Key Laboratory of Urban and Regional Ecology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,State Key Laboratory of Urban and Regional Ecology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,State Key Laboratory of Urban and Regional Ecology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:京津冀城市群健康与可持续发展是保障我国国家安全的重要基础，但因其城市化过程缺乏区域间协同联动，产业布局各自为政，导致生态用地流失、水生态失衡等问题，由此带来生态系统服务下降、生态风险加剧、生态安全受到威胁。因此，如何从区域角度构建科学合理的生态安全格局，成为保障京津冀城市群区域一体化协同发展的关键。在国家重大专项（典型脆弱生态修复与保护研究——京津冀城市群生态安全保障技术研究，项目编号为2016YFC0503000）的支持下，该研究将围绕“区域生态安全保障”这一核心主题，揭示京津冀城市群生态安全格局的维持机制与影响因子，重点研发关键生物栖息地生态修复、受损生态空间生态重建、生态监管与生态风险预测预警技术，进而构建区域协调与空间联动的生态安全保障决策系统和预测预警平台，并开展示范应用研究，为京津冀城市群地区生态安全保障提供技术支撑。 Abstract:This paper presents a brief introduction of a project (Grant No. 2016YFC0503000) that is part of the "National Key Research and Development Program" entitled "Restoration and Protection of Specific Vulnerable Ecosystems", which is funded by the Ministry of Science and Technology, P.R. China. This project focuses on the Beijing-Tianjin-Hebei (BTH) urban megaregion, one of the largest urban megaregions in China. The BTH urban megaregion has been experiencing rapid urban expansion since the late 1970s and the early 1980s, which resulted in a series of ecological and environmental problems, such as air pollution, ecosystem degradation, and loss of wetlands. How to balance the development of different cities in this region, and coordinate its relationship with environmental protection and ecological restoration has increasingly become a priority issue in this region. The overall objective of this project is to develop new technologies for ecological restoration and establishing a eco-security pattern. Specifically, we aim to 1) understand the mechanism of the current eco-security pattern development and its key driving factors; 2) to develop key technologies for ecological restoration of degraded wildlife habitats, damaged key ecological function areas, for ecological monitoring and management, and for ecological risk prediction and early-warning; and 3) to establish a decision-making support system, and a forecasting and early-warning platform. Results from this project will provide insights on understanding the patterns of eco-security in the BTH urban megaregion, and also provide technologies to support local practices of ecological restoration, and tools for regional decision-making to balance economic development and environmental protection in the purpose of enhancing eco-security. In addition, such practices and scientific understanding will also benefit the scientific community and decision makers in other megaregions. 参考文献 相似文献 引证文献

An EIoT system designed for ecological and environmental management of the Xianghe Segment of China’s Grand Canal

ABSTRACTEcological and environmental protection of the Xianghe Segment of China’s Grand Canal (XSCGC) has gained increasing attention. The Xianghe Segment is located in a highly urbanized area, and it is imperative to promote the environmental quality of this region. Application of the Environmental Internet of Things (EIoT) can greatly improve the performance and effectiveness of ecological and environmental management. In this study, we propose and describe an ecological and environmental management system based on EIoT to monitor canal construction. This system includes a digital management platform and an environmental early warning platform, which monitor and manage water resources, soil–plant biodiversity, waste production, and energy use in real time. Based on a regional analysis of the construction plan and environmental and anthropogenic factors, the key monitoring areas were determined and the spatial distribution of the EIoT sensing layer was arranged. The construction of EIoT should be carried out in three stages to effectively monitor the ecology and environment of the study region. The application of landsenses ecology to the EIoT system will help improve ecological planning.

Text-based Research of Early Warning Platform from Food Complaint Texts

This study proposes a food complaint text early warning method based on the guidance of ontology and establishes a scientific and reasonable system of early warning, builds and improves the food security early warning platform. All of those make this study play a supplementary role in the research content of food safety regulators. Based on traditional early warning system, this study constructs food safety complaints warning platform model and builds the food domain ontology and expands food complaint document semantics to highlight the implicit semantics and improve the document's semantic accuracy. Through the calculation of similarity of theme characteristic vector and text categorization constructing classifier, make the automatic classification of food complaint documents based on the theme come true for those which are not correctly classified documents for unsupervised clustering, which can be the purpose of food safety alarm. Then, it is possible to use complaints about food safety for rapid and accurate text data processing, make the food safety regulators understand the food safety hidden trouble in time to protect consumers' rights and interests.

3D WebGIS-based platform for debris flow early warning: A case study

In mountainous areas of Southwestern China, debris flows occur every rainy season in recent years and have become one of the main threats to human life and properties. After a giant debris-flow event on August 13, 2010 in Sichuan province, the need to deploy a real-time monitoring network and early warning system (EWS) in this region with high potential risk became of paramount importance. This paper, therefore, presents a proposal for a 3D WebGIS-based platform combined with wireless sensor network (WSN) for debris-flow monitoring, analysis of rainfall thresholds for potential debris-flow gullies, and preliminary criteria for automatic and continuous monitoring and alert of debris flows. The choice of a WSN environment simplifies data collection, especially for the combination of various monitoring data provided by different sensor terminals. Warning thresholds stored in the database can easily be modified to improve the prediction of debris-flow occurrence, and there is a user-friendly 3D graphical interface which allows an almost real-time solution for decision-makers. The automatic computer-based EWS applied in the case study proves to be useful for debris-flow early warning, and improvements expected from continuation of this study could ultimately reduce the losses caused by such type of natural hazard.

Innovative Technological Approach to Ebola Virus Disease Outbreak Response in Nigeria Using the Open Data Kit and Form Hub Technology.

The recent outbreak of Ebola Virus Disease (EVD) in West Africa has ravaged many lives. Effective containment of this outbreak relies on prompt and effective coordination and communication across various interventions; early detection and response being critical to successful control. The use of information and communications technology (ICT) in active surveillance has proved to be effective but its use in Ebola outbreak response has been limited. Due to the need for timeliness in reporting and communication for early discovery of new EVD cases and promptness in response; it became imperative to empower the response team members with technologies and solutions which would enable smooth and rapid data flow. The Open Data Kit and Form Hub technology were used in combination with the Dashboard technology and ArcGIS mapping for follow up of contacts, identification of cases, case investigation and management and also for strategic planning during the response. A remarkable improvement was recorded in the reporting of daily follow-up of contacts after the deployment of the integrated real time technology. The turnaround time between identification of symptomatic contacts and evacuation to the isolation facility and also for receipt of laboratory results was reduced and informed decisions could be taken by all concerned. Accountability in contact tracing was ensured by the use of a GPS enabled device. The use of innovative technologies in the response of the EVD outbreak in Nigeria contributed significantly to the prompt control of the outbreak and containment of the disease by providing a valuable platform for early warning and guiding early actions.

Application of BP Neural Net Work and PCA in Prediction of Plant Diseases Control

Wheat sharp eyespot is an important plant disease of wheat roots. To improve the accuracy of prediction of this disease and to control the disease effectively, This paper presents a new prediction model by principal components analysis (PCA) and back propagation artificial neural network (BP-ANN) methods. The application of BP and PCA in forecasting plant diseases was also summarized. Application of BP Neural Network and PCA in Prediction for wheat Diseases. To build diagnosing wheat diseases based on BP neural network, and PCA was discussed. The precision of the simulation is the high, fault tolerant capacity is better, reliability, and robustness are better. The result of the forecast model is satisfied. So the model of predicting wheat disease based on adaptive neural networks has the important reference value. The test results showed to build the early warning model is effective and likely which, will provide a model to set up the effective early warning platform. Results showed that BP neural network and PCA had a strong application value in the diagnosis of plant diseases.

環境・技術リスク問題のガバナンスのための早期警戒プラットフォrム―クリアリングハウスの試行的構築―

環境・技術リスク問題のガバナンスのための早期警戒プラットフォrム―クリアリングハウスの試行的構築―