scholarly journals Building an HMI and Demo Application of WSN-based Industrial Control Systems

2011 ◽  
Vol 7 (2) ◽  
pp. 107-111
Author(s):  
Ali Abed ◽  
AbdulAdhem Ali ◽  
Nauman Aslam
Keyword(s):  
Control Systems ◽  
Low Cost ◽  
Data Access ◽  
Industrial Applications ◽  
Base Station ◽  
Temperature Monitoring ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Monitoring And Control ◽  
And Control

In this paper we present the details of methodology pursued in implementation of an HMI and Demo Temperature Monitoring application for wireless sensor-based distributed control systems. The application of WSN for a temperature monitoring and control is composed of a number of sensor nodes (motes) with a networking capability that can be deployed for monitoring and control purposes. The temperature is measured in the real time by the sensor boards that sample and send the data to the monitoring computer through a base station or gateway. This paper proposes how such monitoring system can be setup emphasizing on the aspects of low cost, energy-efficient, easy ad-hoc installation and easy handling and maintenance. This paper focuses on the overall potential of wireless sensor nodes and networking in industrial applications. A specific case study is given for the measurement of temperature (with thermistor or thermocouple), humidity, light and the health of the WSN. The focus was not on these four types of measurements and analysis but rather on the design of a communication protocol and building of an HMI software for monitoring. So, a set of system design requirements are developed that covered the use of the wireless platforms, the design of sensor network, the capabilities for remote data access and management, the connection between the WSN and an HMI software designed with MATLAB.

Wireless Sensor Network for Performance Monitoring of Electrical Machine

2015 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Priyanka Ranaware ◽  
N.D. Dhoot
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Low Cost ◽  
Monitoring Network ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Electrical Machine ◽  
Prototype System ◽  
Monitoring And Control

<p class="Default">This paper proposes a novel industrial wireless sensor network for industrial machine condition monitoring. To avoid unexpected equipment failures and obtain higher accuracy in diagnostic and prognostic for the health condition of a motor, efficient and comprehensive data collecting, monitoring, and control play an important role to improve the system more reliable and effective. A novel wireless data collection for health monitoring system of electric machine based on wireless sensor network is proposed and developed in this paper. The unique characteristics of ZigBee networks such as low power, low cost, and high flexibility make them ideal for this application. The proposed system consists of wireless sensor nodes which are organized into a monitoring network by ZigBee protocols. A base station and wireless nodes have been developed to form a prototype system. Various sensors have the capability to monitor physiological as well as environmental conditions. Therefore proposed system provides a flexible solution that makes our living spaces more intelligent.</p>

Built-in temperature monitoring and control systems for polymer equipment

1989 ◽  
Vol 25 (7) ◽  
pp. 383-384
Author(s):  
V. P. Semenets ◽  
V. L. Baradulin ◽  
V. P. Basko ◽  
G. S. Minasyan
Keyword(s):  
Control Systems ◽  
Temperature Monitoring ◽  
Monitoring And Control ◽  
Monitoring And Control Systems ◽  
And Control

scholarly journals An Effective Water Management Framework Based on Internet of Things (IOT) Technology

2019 ◽  
Vol 4 (5) ◽  
pp. 102-108
Author(s):  
Moses Odiagbe ◽  
Emmanuel Majeyibo Eronu ◽  
Farouq E. Shaibu
Keyword(s):  
Wireless Sensor Network ◽  
Internet Of Things ◽  
Flow Rate ◽  
Low Cost ◽  
Cost Effective ◽  
Wireless Sensor ◽  
Monitoring And Control ◽  
Rate Sensor ◽  
And Control ◽  
Effective Water

The low cost effective wireless sensor network that The low cost effective wireless sensor network that allows for embedded system to monitor and control virtually any space and environment and to form the so called Internet of Things or Internet of Everything. The research work is intended to address a general problem associated with effective water utilization management, among others is the issue of water leakages, there is the need to effectively detect cases of leakages and address them appropriately. However, the sensitivity of the flow rate sensors used poses a number of challenges, hence the need to setup an appropriate calibration scheme that will allows for the flow rate sensor, effective adoption and usage ,isolating false alarm due to deficiencies associated with operation of the flow rate sensor as well as detecting leakages  . A frame work build around a flow rate sensor, solenoid valve, a microcontroller equipped with internet connectivity and a log in service monitoring and control platform on the cloud is used. Several simulated tests were carried out to explore a number of leakage scenarios. Based on the analysed data obtained overtime, appropriate algorithms were developed to allow for quick detection, remote monitoring and control of deduced cases of leakages. The work has significantly addressed the challenges poses to the effect leakages with the adopted framework.

scholarly journals Efficient Wireless Monitoring and Control of a Grid-Connected Photovoltaic System

2021 ◽  
Vol 11 (5) ◽  
pp. 2287
Author(s):  
Jonathan Medina-García ◽  
Aránzazu D. Martín ◽  
Juan M. Cano ◽  
Juan A. Gómez-Galán ◽  
Adoración Hermoso
Keyword(s):  
Wireless Communication ◽  
Low Cost ◽  
Integrated Approach ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Sensor Nodes ◽  
Effective Control ◽  
Monitoring And Control ◽  
System Solution ◽  
And Control

The design, monitoring, and control of photovoltaic (PV) systems are complex tasks that are often handled together, and they are made even more difficult by introducing features such as real-time, sensor-based operation, wireless communication, and multiple sensor nodes. This paper proposes an integrated approach to handle these tasks, in order to achieve a system efficient in tracking the maximum power and injecting the energy from the PV modules to the grid in the correct way. Control is performed by means of an adaptive Lyapunov maximum power point tracking (MPPT) algorithm for the DC/DC converters and a proportional integral (PI) control for the inverters, which are applied to the system using low latency wireless technology. The system solution exploits a low-cost wireless multi-sensor architecture installed in each DC/DC converter and in each inverter and equipped with voltage, current, irradiance, and temperature sensors. A host node provides effective control, management, and coordination of two relatively independent wireless sensor systems. Experimental validation shows that the controllers ensure maximum power transfer to the grid, injecting low harmonic distortion current, thus guaranteeing the robustness and stability of the system. The results verified that the MPPT efficiency is over 99%, even under perturbations and using wireless communication. Moreover, the converters’ efficiency remains high, i.e., for the DC/DC converter a mean value of 95.5% and for the inverter 93.3%.

scholarly journals RBM: Region-Based Mobile Routing Protocol for Wireless Sensor Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Muhammad Fahad Mukhtar ◽  
Muhammad Shiraz ◽  
Qaisar Shaheen ◽  
Kamran Ahsan ◽  
Rizwan Akhtar ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Low Cost ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Key Technology ◽  
Adaptive Clustering ◽  
Normal Ranges

Wireless sensor networks (WSNs) are employed for different applications for the reason of small-sized and low-cost sensor nodes. However, several challenges that include a low powered battery of the sensor nodes restrict their functionality. Therefore, saving energy in the routing process to extend network life is a serious concern while deploying applications on WSN. To this end, the key technology is clustering, which helps maximize scalability and network lifecycle. Base station (BS) collects data, aggregates it, and extracts the required information. To obtain the maximum outcome, the lifetime of the network is maximized by the use of different techniques and protocols. Data transmissions consume most of the network energy, and the transmissions over normal ranges require less energy as compared to transmissions over long ranges. Moreover, the nodes closer to the BS deplete their energy faster as compared to distant nodes because of traffic overload. The proposed protocol is aimed at reducing energy consumption and increasing the network lifetime. For this purpose, the network is divided into two regions: region 1 closer to the BS communicating directly, whereas region 2 farther away from the BS having routing nodes to communicate with the BS. Routing nodes do not take part in sensing function but will only move in region 2 collecting data and forwarding it to BS. MATLAB is used as the simulation tool for evaluation, and the results are compared with the existing optimized region-based efficient routing (AORED) and low-energy adaptive clustering hierarchical protocol (LEACH) techniques. The comparison showed that energy conservation and lifetime increased by 15%, and throughput is increased by more than 5% approximately.

scholarly journals QoS Analysis of Wireless Sensor Networks for Temperature and Humidity Monitoring and Control of Soybean Seed Storage Based IOT Using NodeMCU

JAICT ◽  
2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Sindung HW Sasono
Keyword(s):  
Packet Loss ◽  
Sensor Node ◽  
Soybean Seed ◽  
Seed Storage ◽  
Packet Transmission ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Monitoring And Control ◽  
Temperature And Humidity ◽  
And Control

Based on data from Central Bureau of Statistics in 2016 - 2020 soybean production deficit, the main factor is the decline in the quality of soybean seeds temperature and humidity sensitive. And so we need a system of monitoring and control of temperature and humidity container store soya beans. Wireless sensor network wireless technology that consists of a collection of sensor nodes distributed on a given area can support the communication between the sensor nodes using the system and sensor NodeMCU DHT11. This research was to analyze the WSN QoS monitoring system and temperature and humidity control soybean seed store container-based IOT using NodeMCU clients and coordinators are connected to an access point for sending data to the server in realtime. Tests carried out by putting the sensor node at 3 points with a distance variation of the coordinator and a data packet transmission interval. The test results obtained using a star topology indoor NLOS conditions optimal distance sensor node 3 which is 4 meters and the delivery interval 40s with packet loss value of 0-20%, delay 1.154 - 5,92s, jitter 0.241 to 7.57 ms, and throughput 66.32 bits / s. WSN protocol IOT uses MQTT NodeMCU and goes well with a low throughput value is 529.81 bps to 544.85 bps can still generate a delay kualiatas 200.33 to 270.83 ms and packet loss from 0 to 1.284% which is good. 92s, jitter 0.241 to 7.57 ms, and the throughput of 66.32 bits / s. WSN protocol IOT uses MQTT NodeMCU and goes well with a low throughput value is 529.81 bps to 544.85 bps can still generate a delay kualiatas 200.33 to 270.83 ms and packet loss from 0 to 1.284% which is good. 92s, jitter 0.241 to 7.57 ms, and the throughput of 66.32 bits / s. WSN protocol IOT uses MQTT NodeMCU and goes well with a low throughput value is 529.81 bps to 544.85 bps can still generate a delay kualiatas 200.33 to 270.83 ms and packet loss from 0 to 1.284% which is good.

Comprehensive Review of Routing Protocols in Wireless Sensor Networks

2014 ◽  
Vol 513-517 ◽  
pp. 1709-1712
Author(s):  
Faizan Ali Siddiqui ◽  
Qing Ling Liu ◽  
Muhammad Hashim
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocols ◽  
Low Cost ◽  
Wireless Sensor ◽  
Monitoring And Control ◽  
Starting Point ◽  
And Control ◽  
Future Work ◽  
Physical Phenomena

Wireless sensor networks (WSNs) are attracting great interest in a number of application domains concerned with monitoring and control of physical phenomena, as they enable dense and boundless deployments at low-cost and with excellent flexibility. Extensive usage of WSN is the reason of development of any routing protocols. The main contribution of this article is an extensive survey and classification of the routing protocols in WSN. Routing protocols are classified under seven categories (Location-Based, Data Centric, Hierarchical-Based, Mobility-Based, Multipath-Based, Heterogeneity based and Quality of Service (QoS)-Based.). Each protocol is described and discussed with advantage and disadvantages. The challenges faced by WSN are also mentioned in this paper and finally to set the milestone for future work. For researchers, this paper serves as a starting point into research in designing routing protocols for WSNs effectively and efficiently. Any reader who is interested in improving their knowledge of the technical concepts will find a list of references and recent publications at the end of this paper.

scholarly journals The Management of Indoor Thermal Comfort with Wireless Sensor Networks

2017 ◽  
Vol 50 (9-10) ◽  
pp. 206-213 ◽  
Author(s):  
Sinan Uguz ◽  
Osman Ipek
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Environmental Factors ◽  
Thermal Comfort ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Space Heating ◽  
Monitoring And Control ◽  
Comfort Index ◽  
And Control

In this study, real-time monitoring and control platform based on thermal comfort was developed to control space heating in living spaces. To calculate the thermal comfort level in a living space, environmental factors such as indoor air temperature, mean radiant temperature, air velocity, and humidity are needed. In order to obtain the environmental factors, sensor nodes based on wireless sensor networks were developed. According to the data obtained from the sensor nodes, the thermal comfort index was calculated, and radiators used for space heating were controlled via monitoring and control software based on PC. Furthermore, several experiments were performed between living spaces where real-time monitoring and control platform was installed and living spaces heated with conventional methods. The measurements were carried out in four rooms at the Faculty of Technology of Suleyman Demirel University in Turkey during the winter season. The heat transferred from room radiators by creating proper conditions that can change the thermal comfort index was compared in the experiments. During experimental measurements, it was observed that the heat transferred to the environment through the room radiators reduced significantly, especially with closed doors and windows.

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