Study on Measuring Technique for Metal Tank’s Oil Temperature and it’s Level

2011 ◽  
Vol 402 ◽  
pp. 795-799 ◽  
Author(s):  
Yi Wei Fei ◽  
Hong Wei Yang ◽  
Li Ping Tong ◽  
Shi An Sun

This paper designs real-time distributing measurement and monitoring system based on field bus for meeting the needs of testing and monitoring large-scale oil tanks. The system uses optical fiber sensor to collect the oil tank’s data, and has the advantages of the high precision, the high reliability, the strong anti-disturbed, and the avoiding of fire hidden trouble effectively, by the way of using the industrial Ethernet to achieve long-distance communication by RS-485, with a computer as controlling center to collect the data, and measures, monitors and manages oil tanks intelligently. And then the system is designed according to HART port protocol, as real-time testing and monitoring software to predict and manage automatically with advantages of fault diagnosis, routine maintenance, prediction of fire hidden trouble, and function of reliability, by relieving workload and good economical and social benefit.

Antiquity ◽  
2021 ◽  
pp. 1-17
Author(s):  
Alexey Tarasov ◽  
Kerkko Nordqvist

The hunter-fisher-gatherers of fourth- to third-millennium BC north-eastern Europe shared many characteristics traditionally associated with Neolithic and Chalcolithic agricultural societies. Here, the authors examine north-eastern European hunter-fisher-gatherer exchange networks, focusing on the Russian Karelian lithic industry. The geographically limited, large-scale production of Russian Karelian artefacts for export testifies to the specialised production of lithic material culture that was exchanged over 1000km from the production workshops. Functioning both as everyday tools and objects of social and ritual engagement, and perhaps even constituting a means of long-distance communication, the Russian Karelian industry finds parallels with the exchange systems of contemporaneous European agricultural populations.


2020 ◽  
Vol 2020 ◽  
pp. 1-20
Author(s):  
Xiaofeng Wang ◽  
Xinyu Chen ◽  
Haiyang Ye ◽  
Yuan Liu ◽  
Guizhu Zhang

The space-ground integrated network (SGIN) is an important direction of future network development and is expected to play an important role in edge computing for the Internet of Things (IoT). Through integration with an SGIN, IoT applications can provide services with long-distance and wide-coverage features. However, SGINs are typical large-scale and time-varying networks for which new network technologies, protocols, and applications must be rigorously evaluated and validated. Therefore, a reliable experimental platform is necessary for SGINs. This paper presents a cloud-based experimental platform for the SGIN context named SGIN-Stack. First, the architecture of SGIN-Stack, which combines the Systems Tool Kit (STK) and OpenStack, is described. Based on this architecture, a seamless linkage between OpenStack and STK is achieved to realize synchronous, dynamic, and real-time network emulation for an SGIN, and the dynamic differential compensation technology and a random number generation algorithm are applied to improve the emulation accuracy for satellite links. Finally, an emulation scenario is constructed that includes six space-based backbone nodes, sixty-six space-based access nodes, and a ground station. Based on this emulation scenario, experiments concerning the satellite link delays, bit error ratio (BER), and throughput are carried out to prove the high fidelity of our SGIN-Stack platform. Emulation experiments involving satellite orbital maneuvers and attitude adjustments show that SGIN-Stack can be used for dynamic and real-time SGIN emulation.


Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1018 ◽  
Author(s):  
Zhiyuan Yin ◽  
Yan Zhou ◽  
Yongxin Li

In present seismic exploration wireless sensor systems with large acquisition channels, it is difficult to achieve a high data rate, high reliability and long distance in wireless data transmission simultaneously. In this paper, a wireless seismic exploration system using a dual-layer network is proposed. The dual-layer network is designed based on Wi-Fi and LTE, so that long-distance high-rate seismic data transmission with a high reliability can be achieved. In the proposed system, the sensor array is composed of two kinds of nodes, the gateway node and the collecting node. Based on the proposed nodes, collecting node positioning, seismic data acquisition, seismic local data storage and quasi real-time remote seismic data transmission can be realized. Reliability mechanisms have been put forward to deal with the exceptions. An experiment was carried out to test the data transmission efficiency of the proposed system. The results show that the seismic exploration wireless sensor system with a dual-layer network structure can achieve quasi real-time remote seismic data transmission with no packet loss.


2014 ◽  
Vol 651-653 ◽  
pp. 2441-2444
Author(s):  
Cai Rong Zhang ◽  
Guo Liang Liu ◽  
Bin Wei

To the convenience of passenger travel, a kind of electronic bus stop boards system is discussed in this paper, which can be considered as intelligent equipment based on wireless communication technology. The combination between short-range wireless and long-distance communication module, together with the microcontroller composes the electronic bus stop boards system. The electronic bus stop boards system indicates the number of stations away from passengers’ station board on different nearest buses, current time and real-time humiture. The test results showed that the system could realize short-range and long-distance communication function and display the necessary information. With the advantages of high reliability and efficiency at low cost, the electronic bus stop boards system has more practical popularized value to replace traditional intelligent station boards with GPS and GPRS by cheap wireless communication module.


2021 ◽  
Vol 11 (1) ◽  
pp. 31-44
Author(s):  
Wenchao Li ◽  
Yonggui Yuan ◽  
Jun Yang ◽  
Libo Yuan

AbstractOptical fiber sensor networks (OFSNs) provide powerful tools for large-scale buildings or long-distance sensing, and they can realize distributed or quasi-distributed measurement of temperature, strain, and other physical quantities. This article provides some optical fiber sensor network technologies based on the white light interference technology. We discuss the key issues in the fiber white light interference network, including the topology structure of white light interferometric fiber sensor network, the node connection components, and evaluation of the maximum number of sensors in the network. A final comment about further development prospects of fiber sensor network is presented.


2019 ◽  
Vol 8 (2) ◽  
pp. 5130-5134

The wireless networks are made up of numerous numbers of wireless stations. The communication between these wireless stations requires traveling multiple hops to exchange information. The Wireless mobile network plays important roles in various sensing applications. This research paper planned to develop real time, trivial clarification method for transmitting in a wireless mobile sensor network. The proposed method works grounded on the routers positions and destination address of the packets to transfer packets, whereas the existing greedy forwarding decisions methods use information about the neighbor routers in the network topology. If a particular packet or an information reaches a destination region, the greedy forwarding is not worth to recover packets, since it search the packets the small perimeter of the region. When the number of destination node increases the proposed methods works better to scales router state when compared to existing shortest-path and ad-hoc routing protocols. In real time there will be frequent changes in network topology the proposed method will use local topology information to discover the shortest paths quickly. The experimental results shows that the proposed greedy perimeter stateless routing scales method provide high reliability and scalability than other methods in the large scale networks


2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Zhichao Zhang ◽  
Hui Chen ◽  
Xiaoqing Yin ◽  
Jinsheng Deng

With the upgrading of the high-performance image processing platform and visual internet of things sensors, VIOT is widely used in intelligent transportation, autopilot, military reconnaissance, public safety, and other fields. However, the outdoor visual internet of things system is very sensitive to the weather and unbalanced scale of latent object. The performance of supervised learning is often limited by the disturbance of abnormal data. It is difficult to collect all classes from limited historical instances. Therefore, in terms of the anomaly detection images, fast and accurate artificial intelligence-based object detection technology has become a research hot spot in the field of intelligent vision internet of things. To this end, we propose an efficient and accurate deep learning framework for real-time and dense object detection in VIOT named the Edge Attention-wise Convolutional Neural Network (EAWNet) with three main features. First, it can identify remote aerial and daily scenery objects fast and accurately in terms of an unbalanced category. Second, edge prior and rotated anchor are adopted to enhance the efficiency of detection in edge computing internet. Third, our EAWNet network uses an edge sensing object structure, makes full use of an attention mechanism to dynamically screen different kinds of objects, and performs target recognition on multiple scales. The edge recovery effect and target detection performance for long-distance aerial objects were significantly improved. We explore the efficiency of various architectures and fine tune the training process using various backbone and data enhancement strategies to increase the variety of the training data and overcome the size limitation of input images. Extensive experiments and comprehensive evaluation on COCO and large-scale DOTA datasets proved the effectiveness of this framework that achieved the most advanced performance in real-time VIOT object detection.


Author(s):  
S. M. Babchuk ◽  
B. S. Nezamay

Power Line Communication (PLC) systems are actively evolving and becoming more and more widespread worldwide. They are used in the automation of technological processes, the organization of video surveillance systems and to control the "smart" home. The G3-PLC provides high-speed and high-reliability long-distance communication over the existing power grid. Due to the fact that G3-PLC provides the ability to transmit data including through transformers, infrastructure costs are reduced. In addition, the G3-PLC network can support IPv6, which will allow the G3-PLC to easily integrate into common IPv6-based communication lines in the future. G3-PLC-based bilateral communications networks can provide grid operators with intelligent monitoring and control capabilities. Operators will be able to monitor electricity consumption across the network in real time, apply variable tariff schedules and set limits on electricity consumption. In turn, consumers will be able to control electricity consumption in real time. By using variable tariffs, users can reduce their electricity consumption during peak use. The G3-PLC dedicated digital network can be used in process automation systems where traditional or traditional data transmission is difficult or impossible. As a result of the research, a polynomial mathematical model was found that best reflects the change in data rate depending on the length of the G3-PLC network segment. It is also found that for the simplified calculation, a linear model determined during the studies can be used. The established mathematical models of data transmission rate dependence on the segment length of the G3-PLC dedicated digital network will contribute to better design of G3-PLC-based networks.


2013 ◽  
Vol 846-847 ◽  
pp. 517-520
Author(s):  
Chong Qian ◽  
Rong Rong Wang ◽  
Wei Wang

During the process of drying fabrics by drying cylinder dryer, the over-drying of fabrics leads to a waste of energy. A temperature-online-measuring and energy-saving system for drying cylinder dryer based on network communication was designed in the study. The temperature-measuring and steam-controlling part of the system set in the cylinder dryer communicates with the remote monitoring part using the W5100 network chip through Ethernet which helps to achieve a high-speed and long-distance communication between the two parts. The remote monitoring part of the system is based on Delphi. The real-time temperature of fabrics in each drying cylinder can be displayed on the screen of the remote computer, and the steam supply of drying cylinders can be manually or automatically adjusted according to the mutations of temperature of fabrics by system administrators or the remote computer. The application of this system helps to avoid the The evaporation of water due to over-drying by 5.3%-6.6% and result in a reduction of the waste of energy by about 10%.


2021 ◽  
Vol 4 (2) ◽  
pp. 197-210
Author(s):  
Selamet Selamet ◽  
Mohammad Erihadiana ◽  
Qiqi Yuliati Zaqiah

Since Indonesia announced that it had been exposed to COVID-19 on March 16, 2020, all forms of activities that trigger social activities were freely dismissed with various Social Distancing, Physical Distancing, and PSBB (large-scale social restrictions) policies. Many sectors are affected by this policy, including the education sector. The Minister of Education and Culture who established online learning (on the network) with an emergency curriculum that he published made learning a little different from usual. There is no face-to-face in the classroom directly and learning is transformed by distance learning that works with parents at home in active communication. The continuity of this learning depends on the teacher providing the material in its implementation, assisted and monitored by the parents of each student. By using whatsapp group media in learning during the COVID-19 pandemic, it is one of the efforts made by teachers in seeking an effective and fun learning. MI Al-Fadliliyah Darussalam continues to strive and is committed to optimally implementing online learning, the teacher's role is very important in the KBM it carries out. The use of whatsapp group media is the most popular media to facilitate long-distance communication, therefore online learning uses this media more often, because it is easier and better known in the community, especially parents. However, of course not only using whatsapp group media is not the end of the online learning solution. There needs to be a strategy and review related to the problems that occur to parents of students. Keywords: WhatsApp group media utilization, learning and the COVID-19 pandemic


Sign in / Sign up

Export Citation Format

Share Document