Smart Irrigation and Agriculture Monitoring system using Cloud Server based on IOT

2020 ◽  
Vol 9 (2) ◽  
pp. 1082-1085
Author(s):  
Sumathi K
Keyword(s):  
Monitoring System ◽  
Cloud Server

scholarly journals Development of Metal Polishing Dust Monitoring System using the Internet of Things and Cloud Server

2019 ◽  
Vol 15 (04) ◽  
pp. 53
Author(s):  
Zhiyao Fan ◽  
Tianhong Pan ◽  
Li Ma
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Environmental Information ◽  
Sensor Nodes ◽  
The Internet ◽  
Sink Node ◽  
Remote Monitoring System ◽  
Cloud Server ◽  
The Internet Of Things

In order to increase the management efficiency and decrease the maintenance costs in the traditional dust monitoring system, a novel real-time remote monitoring system using the Internet of Things and cloud server is proposed in this paper. The system includes several sensor nodes, a sink node and Cloud Server. The high-precision dust probe, temperature and humidity sensors, water flow sensors and hydrogen transmitters are integrated together into a sensor node to access the metal polished environmental information. Then, the collected information is transmitted to sink-node using the 2.4G wireless network. The sink-node uploads data to the Cloud Server through the 4G network and TCP Socket. Based on the Browser/Server (B/S) model, a remote monitoring system is developed by using Tencent Cloud Server, C# language, and SQL database. As a result, the on-site metal polishing environmental information is obtained via the App and Web page.

scholarly journals Smart Machinery Monitoring System with Reduced Information Transmission and Fault Prediction Methods Using Industrial Internet of Things

Mathematics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 3
Author(s):  
Ming-Fong Tsai ◽  
Yen-Ching Chu ◽  
Min-Hao Li ◽  
Lien-Wu Chen
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Fault Prediction ◽  
Learning Technology ◽  
Industrial Internet Of Things ◽  
Machine Error ◽  
Industrial Internet ◽  
Cloud Server ◽  
Transmission Speed ◽  
Monitoring Platform

A monitoring system for smart machinery has been considered to be one of the most important goals in recent enterprises. This monitoring system will encounter huge difficulties, such as more data uploaded by smart machines, and the available internet bandwidth will influence the transmission speed of data and the reliability of the equipment monitoring platform. This paper proposes reducing the periodical information that has been uploaded to the monitoring platform by setting an upload event through the traits of production data from machines. The proposed methods reduce bandwidth and power consumption. The monitoring information is reconstructed by the proposed methods, so history data will not reduce storage in the cloud server database. In order to reduce the halt time caused by machine error, the proposed system uses machine-learning technology to model the operating status of machinery for fault prediction. In the experimental results, the smart machinery monitoring system using the Industrial Internet of Things reduces the volume of information uploaded by 54.57% and obtains a 98% prediction accuracy.

Research on Remote Monitoring System of Loom Workshop for Different Yarn Materials

2017 ◽  
Vol 865 ◽  
pp. 694-700
Author(s):  
Quan Wang ◽  
Chuan Tian ◽  
Tian Liang Hu ◽  
Cheng Rui Zhang ◽  
Li Xue Xu
Keyword(s):  
Data Acquisition ◽  
Web Service ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Remote Monitoring System ◽  
Service Module ◽  
Cloud Server ◽  
Database Service ◽  
Data Acquisition Module ◽  
The Web

The implementation of remote monitor in workshop can improve the production efficiency and contribute to the production management. In this paper, a remote monitoring system of air-jet loom workshop based on B/S structure is designed. The system adopts wireless networking mode in hardware and mainly consists of data acquisition module, database service module and Web service module in software. The data acquisition module is implemented with Visual C++. MySQL is chosen as the database management to design database service module. The Web service module is developed on the platform of asp.net and it is released on the IIS platform of cloud server, so that users can visit the Web site through browser clients. Different yarn materials need to be configured with different parameters. The loom computer can send requests to the cloud server for parameters. The system can analyze the types of yarn materials according to the requests and configure different parameters. This will be quite convenient for workers to change yarn materials.

scholarly journals DESIGN OF IOT BASED COAL MINE MONITORING SYSTEM

2020 ◽  
Vol 9 (6) ◽  
pp. 87-94
Keyword(s):  
Monitoring System ◽  
Coal Mine ◽  
Temperature Sensor ◽  
Coal Mines ◽  
Wireless System ◽  
Toxic Gases ◽  
Cloud Server ◽  
Flame Detection ◽  
Unfavorable Condition ◽  
And Control

Safety of miners is a major challenge nowadays. So we are using IOT based wireless system for monitoring the coal mines and health of the workers. We use two modules which are directly connected to the CLOUD SERVER. In first module we use several SENSORS to monitor and control the various parameters in the coal mines such as temperature and humidity conditions, light detection, leakage of toxic gases and flame detection. Likewise, in next module we use heartbeat sensor and temperature sensor for monitoring the health of the miners. The data which are collected from these modules are stored in the cloud. The alarm warns during unfavorable condition in the coal mine.

scholarly journals IoT based smart ferry system

2021 ◽  
Vol 2115 (1) ◽  
pp. 012015
Author(s):  
Suraj Gahalyan ◽  
P Sriramalakshmi
Keyword(s):  
Wind Speed ◽  
Monitoring System ◽  
Open Source Software ◽  
Research Work ◽  
Smart Devices ◽  
Technical Process ◽  
Engine Room ◽  
Rescue Team ◽  
Cloud Server ◽  
Weight Sensor

Abstract This research work discusses an IoT based smart ferry system. The proposed system is implemented in NODE Red based simulations. Each component is considered as nodes and analysis is done. The technical process is explained with the help of a flowchart. And how the information is passed on to the sailors, ferry crew, ferry operators, ferry controllers and maintenance engineer is discussed. In addition it is displayed using the Node red dashboard as well as through ThingSpeak cloud server for further analysis. The proposed idea is to build an IoT infrastructure consisting of smart devices which will measure different attributes of a boat and notify the captain or the rescue team of the difficulties or the problem faced by the boat during a trip. The monitoring system is based on open source software to retrieve data from the sensors at intervals and send them to the cloud in order to easily monitor them via a dashboard. Fully automated and robust IOT enabled smart devices are developed to collect the data from the boat. The Data to measure the weight and passenger on board is collected by Weight Sensor and IR Sensor and the Captain of the Ship is notified for the same. Temperature of the engine room is monitored and under severe circumstances the rescue team is notified for the same. The wind speed is also monitored in case of stormy conditions.

scholarly journals ILLEGAL MUNICIPAL SOLID WASTE MONITORING SYSTEM BASED ON ANDROID APP

2020 ◽  
Vol V-3-2020 ◽  
pp. 781-786
Author(s):  
J. Wang ◽  
C. Li ◽  
Z. Shi ◽  
J. Dong ◽  
T. Feng
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Monitoring System ◽  
Visual Display ◽  
Mobile App ◽  
Municipal Solid Wastes ◽  
Management Level ◽  
Cloud Server ◽  
Android App ◽  
The Web

Abstract. Illegal municipal solid wastes are tiny in scale and various in type, thus, it is difficult to be found by remote sensing image. To solve the problem, this paper designs and implements an illegal solid waste monitoring system based on Android App, which is composed of mobile-side and web-side. The mobile-side adopts the C/S structure, and realizes illegal solid waste location based on Gaode mobile map API on Android platform. Users can use the mobile App to report the type, scale, address and on-site photos of illegal solid waste in real time. The web-side adopts the B/S structure and develops based on the SSM framework. The web-side deploys the Tomcat server and MySQL database on the cloud server provided by Alibaba Cloud to realize the data cloud management and visual display based on Gaode Web map. The system has well-designed interfaces and convenient operations, which can effectively improve the management level and law enforcement efficiency of municipal solid waste.

scholarly journals Design and Implementation on Patchouli Growth Environment Monitoring System Based on IoT

2021 ◽  
Vol 1 (1) ◽  
pp. 14-18
Author(s):  
Guodong Li ◽  
Ping Zhang
Keyword(s):  
Monitoring System ◽  
Social Life ◽  
Internet Technology ◽  
Sensor Data ◽  
Environment Monitoring ◽  
Growth Environment ◽  
Wireless Network Design ◽  
Medicinal Value ◽  
Cloud Server ◽  
The Times

With the development of the times, the concept of "interconnection of all things" has been deeply rooted in the hearts of people. As an early and developing Internet technology, the Internet of things(IoT) has shown its infinite potential in many fields of social life. In agriculture, the agricultural IoT is coverring a growing number of fields: greenhouse planting, climate factor collection, climate prediction and so on. Based on this idea, the design idea of "patchouli growth environment monitoring system" is put forward. In this paper, the medicinal plant "patchouli" is studied, and its medicinal value and growth factors are discussed. Meanwhile, based on zigbee technology, we design a set of feasible monitoring scheme including hardware and software. The hardware part used ZigBee wireless network design, mainly relies on the cc2530 chip and the esp8266 wifi chip to carry on the wireless distance transmission to the sensor data. It interacts between OneNET cloud server and mysql database through MQTT protocol, TCP/IP protocol and HTTP protocol.

scholarly journals Internet Of Things (IOT) Based Smart Health Monitoring System

2021 ◽  
Vol 9 (VII) ◽  
pp. 1733-1737
Author(s):  
Sougata Karmakar
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Mobile Application ◽  
Healthcare Professionals ◽  
Wearable Devices ◽  
Vital Role ◽  
Wireless Sensor ◽  
Health Issues ◽  
Health Monitoring System ◽  
Cloud Server

IOT is one of the flourishing fields in coming years and it has a vital role in the health care sector. IOT helps us to connect with people by collecting major parameters of the patients directly through some wearable devices transmitted to smartphones and laptops of the authorized person using the cloud server. We are using devices which gives flexible operations to both for the patients and also for healthcare professionals. IOT is slowly becoming a trend in recent times by improvement in the wireless sensor networks. We are fetching such parameters like body temperature, oxygen saturation percentage, heart rate by using NodeMCU WIFI module and cloud computing. Patients with serious health issues can be quickly identified and can be provide a rapid solution by this health monitoring system. And by using BLYNK mobile application we can have those measurements of the parameters from anywhere in the world.

scholarly journals Micro climate monitoring system in closed broiler cages based on the internet of things

2020 ◽  
Vol 8 (2) ◽  
pp. 100-105
Author(s):  
Damar Wicaksono ◽  
Taufiq Kamal
Keyword(s):  
Wind Speed ◽  
Monitoring System ◽  
Effective Temperature ◽  
Sensor Data ◽  
The Internet ◽  
Climate Monitoring ◽  
Cloud Server ◽  
Microclimate Monitoring ◽  
Smart Agriculture ◽  
The Internet Of Things

Smart agriculture has an emerged concept by using IoT sensors capable of providing various information about their field condition and conducting environmental monitoring to improve the yield of efficient crops. This research aims to develop a microclimate monitoring system in a closed house. The microclimate being monitored is the effective temperature, which is the temperature felt by broilers at that time in a fast area. In this research, IoT has been implemented using WeMos D1 R32 by sending sensor data to observe the effective temperature parameters as actual temperature, humidity, and wind speed into an MQTT cloud server. Microclimate control in the cage is based on effective temperature. The data can be displayed on a 16x4 LCD screen and accessed via an Android smartphone from anywhere and at any time.

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