scholarly journals Embedded Wireless Dissolved Oxygen Monitoring Based on Internet of Things Platform

2021 ◽  
pp. 363-368
Author(s):  
Wasana Boonsong ◽  
Keyword(s):  
Internet Of Things ◽  
Dissolved Oxygen ◽  
Water Temperature ◽  
Monitoring System ◽  
Pearson Correlation ◽  
The Social ◽  
Iot Platforms ◽  
Oxygen Monitoring ◽  
Dissolved Oxygen Monitoring ◽  
The Relationship

Recently, Internet of Things (IoT) applications are distributing into many areas, such as industry and agriculture. This article presents the embedded wireless Dissolved Oxygen (DO) monitoring system based on IoT platforms. The module contains two types of data sensing, which are water temperature and DO sensors. Both devices are embedded with a wireless IoT module using NodeMCU-ESP8266, an integration WiFi-Microcontroller on a single board. The proposed IoT-DO monitoring system detects information data from the aquaculture pond environment. Namely, the parameters studied are water temperature and DO values. The cloud internet network collects and stores the experimental data and link to the users. The relationship between both parameters is analyzed using Statistical Package for the Social Sciences based Pearson correlation coefficient theory. The findings found that the water temperature and DO values are negatively related, with a statistically significant .05. Water temperature is the principal affection to other parameters of water. In this work, the DO value is studied to relate the water temperature. It was found that when the water temperature increases, the DO decreases accordingly and vice versa.

Development of dissolved oxygen monitoring system for fish ponds

2013 ◽  
Author(s):  
Macqy Garcia ◽  
Erna Marie Trambulo ◽  
Jeremiah Pajarillo ◽  
Mary Regina B. Apsay ◽  
Joseph Emmanuel Tenorio ◽  
...  
Keyword(s):  
Dissolved Oxygen ◽  
Monitoring System ◽  
Fish Ponds ◽  
Oxygen Monitoring ◽  
Dissolved Oxygen Monitoring

Modeling and Simulation of the Dissolved Oxygen Monitoring System in Aquaculture

2012 ◽  
Vol 605-607 ◽  
pp. 910-914
Author(s):  
Da Zhi Huang
Keyword(s):  
Dissolved Oxygen ◽  
Modeling And Simulation ◽  
Monitoring System ◽  
Simulation Analysis ◽  
Fish Growth ◽  
Practical Application ◽  
Oxygen Monitoring ◽  
Dissolved Oxygen Monitoring ◽  
The Mathematical Model ◽  
Important Basis

In aquaculture, the dissolved oxygen volume in water has a significant impact on fish growth and development, which should be monitored. In order to improve the monitoring results, the mathematical model of the dissolved oxygen monitoring system has been built. The PID controller has been designed with the Simulink software and its parameters have been optimized with the nonlinear control design module of the software. After the simulation analysis on the system, the system is stable. The optimized system has smaller overshoot and faster response, and gets a better control. The modeling and simulation of the dissolved oxygen monitoring system in aquaculture has laid an important basis on analysis of the system and has accumulated experiences for the practical application.

scholarly journals Low-Power Distributed Data Flow Anomaly-Monitoring Technology for Industrial Internet of Things

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2804 ◽  
Author(s):  
Han ◽  
Tian ◽  
Shi ◽  
Huang ◽  
Li
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Monitoring System ◽  
Data Flow ◽  
Real Data ◽  
Communication Overhead ◽  
Distributed Data ◽  
Flow Monitoring ◽  
Industrial Use ◽  
The Relationship

. In recent years, the industrial use of the internet of things (IoT) has been constantly growing and is now widespread. Wireless sensor networks (WSNs) are a fundamental technology that has enabled such prevalent adoption of IoT in industry. WSNs can connect IoT sensors and monitor the working conditions of such sensors and of the overall environment, as well as detect unexpected system events in a timely and accurate manner. Monitoring large amounts of unstructured data generated by IoT devices and collected by the big-data analytics systems is a challenging task. Furthermore, detecting anomalies within the vast amount of data collected in real time by a centralized monitoring system is an even bigger challenge. In the context of the industrial use of the IoT, solutions for monitoring anomalies in distributed data flow need to be explored. In this paper, a low-power distributed data flow anomaly-monitoring model (LP-DDAM) is proposed to mitigate the communication overhead problem. As the data flow monitoring system is only interested in anomalies, which are rare, and the relationship among objects in terms of the size of their attribute values remains stable within any specific period of time, LP-DDAM integrates multiple objects as a complete set for processing, makes full use of the relationship among the objects, selects only one “representative” object for continuous monitoring, establishes certain constraints to ensure correctness, and reduces communication overheads by maintaining the overheads of constraints in exchange for a reduction in the number of monitored objects. Experiments on real data sets show that LP-DDAM can reduce communication overheads by approximately 70% when compared to an equivalent method that continuously monitors all objects under the same conditions.

Relationship between social support and social support in favorable interactions with the general depression,feel anxiety and lack of arousal

2011 ◽  
Vol 26 (S2) ◽  
pp. 176-176
Author(s):  
S. Shabani ◽  
T. Ahmadi Gatab ◽  
A. Delavar ◽  
K. Saleh Ahangar
Keyword(s):  
Social Support ◽  
Emotional Support ◽  
Social Protection ◽  
Pearson Correlation ◽  
Negative Relationship ◽  
The Social ◽  
The Status ◽  
Self Worth ◽  
Significant Regression ◽  
The Relationship

IntroductionThe theory of social support can influence the overall broad range of social networks on people to create positive experiences that people bring, the experience can feel the predictability and stability in situations of life and enhance self-worth is effective.ObjectivesThis study reviews the relationship between social support and social support optimal interactions with general depression, lack of arousal and anxiety felt among the students was fun.MethodsThe study sample of 293 students are Tabatabai University.ResultsThe status of students in the social protection component interactions in daily emotional support, emotional support and protect significant issue oriented issue is above average and good social support in daily emotional support component, useful daily support and protection issue higher orbit are average. Pearson correlation results show that social support and favorable interactions with the general depression, anxiety and lack of arousal feel in 0 / 05 and 0 / 01 is significant and negative relationship with one another are significant. Regression analysis showed that the spatial step feel and lack of arousal component of anxiety in social support interactions to predict depression and components of general social support will predict the optimum.ConclusionsThe results of this study also shows that the highest correlation between social support and lack of interaction feel is the highest correlation between social support and depression in general is good.

scholarly journals Active Potentiometry for Dissolved Oxygen Monitoring with Platinum Electrodes

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2404 ◽  
Author(s):  
Peter Zimmermann ◽  
Andreas Weltin ◽  
Gerald Urban ◽  
Jochen Kieninger
Keyword(s):  
Transfer Function ◽  
Dissolved Oxygen ◽  
Oxygen Concentration ◽  
Potentiometric Sensors ◽  
Platinum Electrodes ◽  
Forming Mechanism ◽  
Long Term Stability ◽  
Measurement Results ◽  
Oxygen Monitoring ◽  
Dissolved Oxygen Monitoring

Potentiometric oxygen monitoring using platinum as the electrode material was enabled by the combination of conventional potentiometry with active prepolarization protocols, what we call active potentiometry. The obtained logarithmic transfer function is well-suited for the measurement of dissolved oxygen in biomedical applications, as the physiological oxygen concentration typically varies over several decades. We describe the application of active potentiometry in phosphate buffered salt solution at different pH and ion strength. Sensitivity was in the range of 60 mV/dec oxygen concentration; the transfer function deviated from logarithmic behavior for smaller oxygen concentration and higher ion strength of the electrolyte. Long-term stability was demonstrated for 60 h. Based on these measurement results and additional cyclic voltammetry investigations a model is discussed to explain the potential forming mechanism. The described method of active potentiometry is applicable to many different potentiometric sensors possibly enhancing sensitivity or selectivity for a specific parameter.

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