Integrated Monitoring Platform Research Articles

The Inversion Location of Microleakage Source and Diffusion Backward Tracing Method Based on 3D Visual Information Model of Salt-Cavern Gas Storage

Summary The safe and stable operation of underground gas storage makes a positive contribution to national energy security. To improve the efficiency of real-time monitoring and early warning of gas leakage accidents at the wellsite of salt-cavern gas storage, an inversion location of the gas microleakage source and a backward tracing method of leakage diffusion are proposed. Through building a 3D visual information model of the salt-cavern gas storage based on building information modeling (BIM) technology and combining it with the advantages of the gas sensors, the real-time inversion location of the microleakage source and diffusion backward tracing in the wellsite can be realized. First, multiple point-type laser methane sensors were used to monitor the leakage of some key zones in real time, and a pan/tilt/zoom (PTZ) scanning laser methane telemeter was used to realize the real-time multidimensional space monitoring on-site from horizontal 360° to vertical 180°. Second, a 3D integrated monitoring platform is established to analyze the gas leakage source by combining the monitoring data and improving the mesh interpolation points. Finally, the whole data and wellsite information are imported into the 3D integrated monitoring platform to realize the inversion location of the microleakage source and the real-time monitoring of the leakage and diffusion state in the whole region. The monitoring precision of gas leakage concentration can be up to 1.0 ppm, and the location distance is within 0.1 m based on the numerical simulation of the 3D model and actual detected data from sensors in the platform. Compared with the technical means of manual assisted leak location, this method effectively solves the difficult problem of leakage monitoring and location accurately in the gas storage and can timely reduce the expansion and impact of leakage accidents.

Application of blockchain technology in virtual power plant considering distributed photovoltaic generation

Since 2014, Shanghai has built the virtual power plant operation system which includes commercial buildings, energy storage system, distributed photovoltaic and any other resources. However, there are also some problems during the construction of virtual power plant. On the one hand, the characteristics of distributed energy resources are different, so it is difficult to achieve optimal scheduling; On the other hand, data trusted sharing and intelligent transaction are imperfect, so it is difficult to realize an efficient transaction mechanism based on user trust. Therefore, it is necessary to use blockchain technology to promote the collaborative interaction ability of "source network load storage" resources and to optimize the intelligent transaction. In order to verify the demand response function of virtual power plant based on blockchain technology, this paper constructs an integrated monitoring platform based on the micro-grid in State Grid Shanghai Electrical Power Research Institude. The platform takes the distributed photovoltaic, charging pile, energy storage, air conditioning and any other adjustable loads as trading users. It can analyze and evaluate the power supply and power demand of micro-grid through way of power forecasting and load forecasting; When there is a major gap between power supply and power demand, the platform will automatically organize the various trading users to participate in the transaction through the smart contract technology of blockchain; Formulate the scheduling of adjustable load according to the transaction results; Write the settlement rules into the smart contract to realize the automation of transaction in virtual power plant. Smart contract can not only improve the credibility of transaction data certificate of virtual power plant, but also simplify the transaction process of massive load resources. In addition, it can reduce the transaction delay and improve the internal management efficiency of virtual power plant. The whole business process is stored on the chain and all data are obtained on the chain to ensure the safety of data during the transaction process. Generally the platform can improve the degree of automation through smart contract and can promote trusted transactions through the whole process data saving in the blockchain. The platform can be applied in other virtual power plants composed by distributed resources. It also can improve the development of new energy industry and the construction of power trading market in Shanghai.

Intelligent Building System Based on Integrated Monitoring Platform

Intelligent Building System Based on Integrated Monitoring Platform

Research on the Architecture of Integrated Platform of Intelligent Substation Auxiliary Monitoring System

For the problems existing in the current substation auxiliary monitoring system, such as various types of equipment, inconsistent standards and poor interaction, the structure design scheme of integrated platform of intelligent substation auxiliary monitoring system is proposed. The structure, function and algorithm of the system are introduced in detail. Firewall isolation technology and security partition technology are adopted to ensure the security and of the system, and give consideration to the real-time data transmission. Through the use of software bus technology, multi data fusion technology and interface standardization technology, the availability and reliability of data are effectively improved and the reliability of the system is improved. Combined with the integrated monitoring platform, the characteristics of intelligent linkage technology of main and auxiliary equipment are put forward. The intelligent linkage and unified management between auxiliary equipment is realized, which effectively improves the intelligent operation and maintenance level of substation auxiliary system.

Comprehensive pregnancy monitoring with a network of wireless, soft, and flexible sensors in high- and low-resource health settings

Vital signs monitoring is a fundamental component of ensuring the health and safety of women and newborns during pregnancy, labor, and childbirth. This monitoring is often the first step in early detection of pregnancy abnormalities, providing an opportunity for prompt, effective intervention to prevent maternal and neonatal morbidity and mortality. Contemporary pregnancy monitoring systems require numerous devices wired to large base units; at least five separate devices with distinct user interfaces are commonly used to detect uterine contractility, maternal blood oxygenation, temperature, heart rate, blood pressure, and fetal heart rate. Current monitoring technologies are expensive and complex with implementation challenges in low-resource settings where maternal morbidity and mortality is the greatest. We present an integrated monitoring platform leveraging advanced flexible electronics, wireless connectivity, and compatibility with a wide range of low-cost mobile devices. Three flexible, soft, and low-profile sensors offer comprehensive vital signs monitoring for both women and fetuses with time-synchronized operation, including advanced parameters such as continuous cuffless blood pressure, electrohysterography-derived uterine monitoring, and automated body position classification. Successful field trials of pregnant women between 25 and 41 wk of gestation in both high-resource settings (n = 91) and low-resource settings (n = 485) demonstrate the system's performance, usability, and safety.

Research on Information Security System of Ship Platform Based on Cloud Computing

To improve ship positioning identification and implementation monitoring, ensure the safe navigation of ships, and optimize ship information retrieval design, the paper proposes a ship information retrieval system based on cloud computing technology. It adopts the fuzzy C-means clustering method for ships, the classification and processing of the subordinate characteristics of the information, the design of the ship network video monitoring system, some study of the critical technology of cloud computing technology, and the algorithm of the video image detection. The simulation results show that this system has a siginificant improvement on accuracy and recall rate of ship navigation safety information monitoring. The system is a ship-shore integrated monitoring platform that meets maritime safety requirements and the needs of low- carbon management with outstanding efficiency.

Balloon catheter-based radiofrequency ablation monitoring in porcine esophagus using optical coherence tomography.

We present a microscopic image guidance platform for radiofrequency ablation (RFA) using a clinical balloon-catheter-based optical coherence tomography (OCT) system, currently used in the surveillance of Barrett's esophagus patients. Our integrated thermal therapy delivery and monitoring platform consists of a flexible, customized bipolar RFA electrode array designed for use with a clinical balloon OCT catheter and a processing algorithm to accurately map the thermal coagulation process. Non-uniform rotation distortion was corrected using a feature tracking-based technique, which enables robust, frame-to-frame analysis of the temporal fluctuation of the complex OCT signal. With proper noise calibration, precise delineation of the thermal therapy zone was demonstrated using cumulative complex differential variance in porcine esophagus ex vivo with the integrated OCT-RFA system, as validated by nitroblue tetrazolium chloride (NBTC) histology. The ability to directly and accurately visualize the thermal coagulation process at high resolution is critical to the precise delivery of thermal energy to a wide range of epithelial lesions.

Development and Application of integrated monitoring platform for the Doppler Weather SA-BAND Radar

The doppler weather SA-band radar is an important part of modern meteorological observation methods, monitoring the running status of radar and the data transmission is important.This paper introduced the composition of radar system and classification of radar data,analysed the characteristics and laws of the radar when is normal or abnormal. Using Macromedia Dreamweaver and PHP, developed the integrated monitoring platform for the doppler weather SA-band radar which could monitor the real-time radar system running status and important performance indicators such as radar power,status parameters and others on Web page,and when the status is abnormal it will trigger the audio alarm.

An integrated low-cost road traffic and air pollution monitoring platform to assess vehicles’ air quality impact in urban areas

Abstract An integrated monitoring platform (IMP) was developed for real-time monitoring of traffic flows and related air pollution in urban areas. The IMP includes: (i) an air quality monitoring unit, integrating the “Arduino” open-source technology with low-cost and high-resolution sensors, to measure air pollutant concentrations; (ii) a traffic monitoring device, equipped with a camera sensor and a video analysis software, to detect vehicles’ counts, speed and category; (iii) a spatial data infrastructure, composed of a central GeoDatabase, a GIS engine, and a web interface, for data storage and management. The IMP was tested in Florence (Italy) by installing sensor devices at a road site where a 1-year measuring campaign was carried out. A reference meteorological station in the city centre was used to provide observations of wind speed and direction, air temperature, and relative humidity. In this work, a statistical analysis was performed to investigate the influence of local road traffic and meteorological conditions on CO, NO2 and CO2 concentrations. Two different methods were applied: a linear regression model and an artificial neural network. To investigate the role played by emissions from road traffic, the influence of all drivers by period of the year (cold vs. warm months) and day of the week (weekdays vs. weekends) was analysed. As a result, the contribution of local road traffic on pollutant concentrations proved to be lower than meteorological parameters.

An integrated low-cost road traffic and air pollution monitoring platform for next citizen observatories

Abstract An integrated monitoring platform was developed for real-time monitoring of air pollution and traffic flows in urban areas. The air quality monitoring unit, integrating the “Arduino” open-source technology with low-cost and high-resolution sensors, collects concentrations of CO, NO 2 and CO 2 . The traffic monitoring device, equipped with a camera sensor and a video analysis software, collects vehicles’ counts, speed and size. Air pollution and traffic readings are archived on a spatial data infrastructure composed of a central GeoDatabase, a GIS engine, and a web interface. A platform's description and the results of its installation in Florence (Italy) are presented.

REmote SUpervision to Decrease HospitaLization RaTe. Unified and integrated platform for data collected from devices manufactured by different companies: Design and rationale of the RESULT study.

The number of patients with heart failure implantable cardiac electronic devices (CIEDs) is growing. Hospitalization rate in this group is very high and generates enormous costs. To avoid the need for hospital treatment, optimized monitoring and follow-up is crucial. Remote monitoring (RM) has been widely put into practice in the management of CIEDs but it may be difficult due to the presence of differences in systems provided by device manufacturers and loss of gathered data in case of device reimplantation. Additionally, conclusions derived from studies about usefulness of RM in clinical practice apply to devices coming only from a single company. An integrated monitoring platform allows for more comprehensive data analysis and interpretation. Therefore, the primary objective of Remote Supervision to Decrease Hospitalization Rate (RESULT) study is to evaluate the impact of RM on the clinical status of patients with ICDs or CRT-Ds using an integrated platform. Six hundred consecutive patients with ICDs or CRT-Ds implanted will be prospectively randomized to either a traditional or RM-based follow-up model. The primary clinical endpoint will be a composite of all-cause mortality or hospitalization for cardiovascular reasons within 12 months after randomization. The primary technical endpoint will be to construct and evaluate a unified and integrated platform for the data collected from RM devices manufactured by different companies. This manuscript describes the design and methodology of the prospective, randomized trial designed to determine whether remote monitoring using an integrated platform for different companies is safe, feasible, and efficacious (ClinicalTrials.gov Identifier: NCT02409225).

Hadoop-Based Integrated Monitoring Platform for Risk Prediction Using Big Data

In this paper, we present an integrated monitoring platform framework to enable risk prediction using big data. By using social media and access records of their users, the proposed system determines uncertain risks they could create. By using the risk information that has been obtained from the platform, it can determine whether they should be granted the requested rights to access to restricted areas. And it can set some places that should be monitored as restricted areas. If the intrusion is detected in an area that has been set, then it promptly notifies the administrator with agile viewers showing him/her the intrusion for preparing the next step. So, it will provide a control situation for the administrator in real time and can detect the risky moments that may occur in advance.

Safety-Oriented Visual Condition Monitoring System of Hydro-Turbine Generator Sets

Intuitive and efficient monitoring system is a reliable guarantee for the security of Hydro-turbine Generator Sets (HGS). A safety-oriented visual monitoring system for HGS was developed. Under the Hydropower station Optimal Maintenance Information System (HOMIS)integrated monitoring platform, combined with equipment engineering 3D visual models and monitoring means, the visual query and the safety inspection of HGS was carried out; while under the “safety monitoring” of the HGS, real-time condition monitoring and real-time alarm was implemented. The system can help maintenance personnel to carry out safety analysis and fault diagnosis of abnormal equipment, which can help them avoid unexpected incidents. The safety-oriented visual monitoring system has successfully been applied in Gezhouba Hydropower Station and prevents safety incidents of HGS.

Maintenance Information Visualization for Hydropower Equipment

A visual maintenance information platform for hydropower equipment was developed in this paper. Under hydropower station optimal maintenance information system integrated monitoring platform, combined with equipment engineering 3D visual models and monitoring means, the visual operating principle and operating data of hydropower equipment were achieved; while states warning visualization and maintenance process visual simulation were implemented. The maintenance information visualization can help maintenance staff to carry out operating analysis and maintenance actions of abnormal equipment, which can assist the staff to handle the equipment status and implement the equipment condition based maintenance. The maintenance information visualization platform has successfully been applied in Gezhouba Hydropower Station.