scholarly journals Industrial area environmental monitoring based on transducers with MODBUS communication

2022 ◽  
Vol 354 ◽  
pp. 00069
Author(s):  
Nicolae Patrascoiu ◽  
Cosmin Rus

The monitoring of environmental parameters in industrial areas where potential sources of pollution exist is very important from the point of view of prevention of environmental accidents. In this paper, we propose a solution for the monitoring of the environmental parameters with the local acquisition through specific environmental and movement sensors and data transmission to a higher hierarchical level through the use of MODBUS communications. A flexible hardware structure and software development concept are presented to offer local information and to be integrated into an environmental quality monitoring network.

2020 ◽  
Vol 305 ◽  
pp. 00003
Author(s):  
Nicolae Patrascoiu

The monitoring of environmental parameters in active industrial areas where there exist potential sources of pollution, and even more so in the area of decommissioned or closure mining activities, is very important from the point of view of prevention of environmental accidents. In this paper, we propose a solution for the monitoring of the environmental parameters with the local acquisition and processing of the data and the transmission of alarm signals to a higher hierarchical level through the use of radio communications. A flexible hardware structure and software development concept are presented to be integrated into the national air quality monitoring network.


2013 ◽  
Vol 6 (1) ◽  
pp. 43-58
Author(s):  
Dorota Pietrucin

Abstract Chemical plants are important objects of hydrogeological research, due to their potentially large impact on the soil and water environment. The topic of this paper is one of the oldest chemical plants in northern Poland, owned by the ‘Zachem’ company and located in the city of Bydgoszcz. The plant is located on a 500 ha property. This area has isolated about a dozen landfills for different types of wastes. In order to make a proper estimation of the influence of a chemical plant on its environment we must first identify the geological and hydrogeological conditions, and also the character of its land-use. Field investigations must be preceded by in-depth historical studies of the plant’s development and the technologies used within, and an identification of historical and present contamination sources. The author describes the current condition of the plant’s groundwater monitoring and indicates the direction of modernization and further development. This paper presents the problems faced when designing a groundwater monitoring network for industrial areas.


Author(s):  
R. Vesipa ◽  
C. Camporeale ◽  
L. Ridolfi

Precipitation of calcium carbonate from water films generates fascinating calcite morphologies that have attracted scientific interest over past centuries. Nowadays, speleothems are no longer known only for their beauty but they are also recognized to be precious records of past climatic conditions, and research aims to unveil and understand the mechanisms responsible for their morphological evolution. In this paper, we focus on crenulations, a widely observed ripple-like instability of the the calcite–water interface that develops orthogonally to the film flow. We expand a previous work providing new insights about the chemical and physical mechanisms that drive the formation of crenulations. In particular, we demonstrate the marginal role played by carbon dioxide transport in generating crenulation patterns, which are indeed induced by the hydrodynamic response of the free surface of the water film. Furthermore, we investigate the role of different environmental parameters, such as temperature, concentration of dissolved ions and wall slope. We also assess the convective/absolute nature of the crenulation instability. Finally, the possibility of using crenulation wavelength as a proxy of past flows is briefly discussed from a theoretical point of view.


Author(s):  
 M.S. MUTHANNA ◽  
A.S. MUTHANNA ◽  
 A.S. BORODIN

Achieving high Quality of Service (QoS) remains a challenge for LoRa technology. However, high QoS can be achieved via optimizing the transmission policy parameters such as bandwidth and code rate. Existing approaches do not provide an opportunity to optimize the LoRa networks' data transmission parameters. The article proposes transmission policy enforcementfor QoS-aware LoRanetworks.The QoSparameter ranking is implemented for IoT nodes where priority and nonpriority information is identified by the new field of LoRa frame structure(QRank).The optimaltransmissionpolicyenforcement uses fast deep reinforcement learning that utilizes the environmental parameters including QRank, signal quality, and signal-to-interference-plus-noise-ratio. The transmission policy is optimized for spreading factor, code rate, bandwidth, and carrier frequency. Performance evaluation is implemented using an NS3.26 LoRaWAN module. The performance is examined for various metrics such as delay and throughput. Достижение высокого качества обслуживания (QoS) по-прежнему остается достаточно сложной задачей для технологии LoRa. В принципе высокий уровень QoS может быть достигнут за счет оптимизации параметров передачи, например, пропускной способности и скорости передачи информации в сети. Известные на сегодняшний день решения не дают возможности оптимизировать параметры передачи данных для сетей LoRa. В статье предложен эффективный метод передачи данных, обеспечивающий требования по QoS при использовании технологии LoRa. Ранжирование параметров QoS для узлов интернета вещей определяется новым полем структуры фрейма LoRa (QRank) для приоритетной и неприоритетной информации. Для обеспечения эффективной передачи применяется быстрое глубокое обучение с подкреплением, для которого используются как параметры качества обслуживания, так и отношение сигнал/шум. Метод передачи оптимизирован с учетом коэффициента распространения, скорости передачи данных, полосы пропускания и несущей частоты. Оценка производительности при применении предложенного метода проведена с использованием модуля LoRaWAN в пакете имитационного моделирования NS3.26. Производительность оценивается на основе параметров задержки и пропускной способности.


2013 ◽  
Vol 329 ◽  
pp. 22-25
Author(s):  
Zhuo Jun Shen

Mobile network signal is the basic coverage along the highway, and the GSM mobile communication technologies provide a powerful and reliable short message service and data transmission services, a variety of applications based on GSM data transmission platform is also being developed. The paper focuses on highway visibility detection and speed detection, system is constitute of a communication unit that uses the TC35i module and STC89C54 single chip, As well as hardware and software design of the method, GSM precautions in the design process of the highway system are briefly described.


2013 ◽  
Vol 373-375 ◽  
pp. 743-751
Author(s):  
Wen Li ◽  
Xiao Mei Wang ◽  
Xue Ke Luo

In order to solve data lack of underground water research and monitoring situation, a wide range underground water lever dynamic information monitoring network system was designed. Remote monitoring terminal based on the techniques of embedded and wireless transmission monitored the change of underground water level; Monitoring analysis center based on the JAVA technology of B/S architecture was designed to inquiry the real-time data,set parameter and analyze data, etc. An approximate water level point was obtained by adopting the modified small period prediction model and the weight distribution method. This enhances reliability of monitored data. By utilizing the technology of GPRS wireless data transmission and Ethernet technology, a remote and real-time data transmission channel was build. Large area application in Shanxi Province shows that the system has the stable performance and the reasonable structure. System can provide long-term reliable data for underground water research.


2013 ◽  
Vol 41 (1) ◽  
pp. 326 ◽  
Author(s):  
Ionel POPA ◽  
Stefan LECA ◽  
Adam CRĂCIUNESCU ◽  
Cristian SIDOR ◽  
Ovidiu BADEA

Oaks are among the most important broad-leaved species in Romanian forests from both an economic and socio-ecological point of view. A significant decline of these species has been observed, which was first evident in various studies and investigations followed by the more results of interdisciplinary research performed in intensive monitoring plots (level II) showing that the decline is climate induced. Thus, it is important to understand the climate change conditions and factors that influence Quercus spp. Typical dendroclimatological investigations were conducted on an intensive forest monitoring network based on four oak species (Q. robur, Q. petraea, Q.cerris, and Q. frainetto) in 7 permanent plots placed in southern Romania. Three patterns of climate-growth relationships were identified and discerned in accordance with the Quercus species. All oak species were found to have a positive correlation with the level of precipitation. In addition, the intensity and level of significance of correlation coefficients differ from one species to another and from one region to another.


Geologos ◽  
2019 ◽  
Vol 25 (3) ◽  
pp. 231-240 ◽  
Author(s):  
Anna Kuczyńska

Abstract The present paper discusses the results of an analysis of the impact of land use on the distribution of pharmaceuticals in groundwater samples collected during a pilot study of the contents of pharmaceuticals and hormones in ground-water taken from the national groundwater monitoring network of the Polish Geological Institute - National Research Institute. Samples were collected during monitoring campaigns from 160 groundwater monitoring sites in various land use types in 2016 and 2017. Samples were analysed for a total of 34 active substances, including natural and synthetic oestrogen hormones, cardiovascular and respiratory medications, analgesics and anti-inflammatories, antidepressants, antimicrobial drugs and anti-epileptics. Our study confirmed the presence of pharmaceuticals in 53 per cent of ground-water samples taken. Data show variations in the distribution of pharmaceuticals depending on land use type, which can thus be employed in pressure analysis and identification of sources of pollution.


2019 ◽  
Vol 113 ◽  
pp. 03009
Author(s):  
Enrico Bianchi ◽  
Stefano Bracco ◽  
Fabio Cannizzaro ◽  
Federico Delfino ◽  
Alessandro Giacchino

The aim of this paper is that of proposing a methodology on how to design a microgrid for an industrial area. In particular, the paper reports the description of a project, jointly developed by the University of Genoa and Ansaldo Energia SpA, to design a polygeneration microgrid for the industrial site of Ansaldo Energia company in the Metropolitan City of Genoa. The microgrid infrastructure integrates different technologies to satisfy the electrical, thermal and cooling demand of the site, among which an important role is played by the cogeneration AE T100 microturbines developed by the company. In the paper, the optimization tool AEN-MGD, developed to optimally design and operate the microgrid, is described and different possible configurations of the microgrid are investigated and analysed from the technical, economic and environmental point of view. The proposed model has a general validity and it can be used to design and operate other similar energy infrastructures.


2019 ◽  
Vol 9 (8) ◽  
pp. 1610
Author(s):  
Goksu Tuysuzoglu ◽  
Derya Birant ◽  
Aysegul Pala

Air pollution, which is the result of the urbanization brought by modern life, has a dramatic impact on the global scale as well as local and regional scales. Since air pollution has important effects on human health and other living things, the issue of air quality is of great importance all over the world. Accordingly, many studies based on classification, clustering and association rule mining applications for air pollution have been proposed in the field of data mining and machine learning to extract hidden knowledge from environmental parameters. One approach is to model a region in a way that cities having similar characteristics are determined and placed into the same clusters. Instead of using traditional clustering algorithms, a novel algorithm, named Majority Voting based Multi-Task Clustering (MV-MTC), is proposed and utilized to consider multiple air pollutants jointly. Experimental studies showed that the proposed method is superior to five well-known clustering algorithms: K-Means, Expectation Maximization, Canopy, Farthest First and Hierarchical clustering methods.


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