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IoT Based Flood Control and Disaster Management System for Dam and Barrage
Published in Prashant Ranjan, Ram Shringar Rao, Krishna Kumar, Pankaj Sharma, Wireless Communication, 2023
Prashant Ranjan, Ram Shringar Rao, Krishna Kumar, Pankaj Sharma
NodeMCU is an open-source firmware and development kit; it includes firmware that runs on the ESP8266 WiFi. A microcontroller unit (MCU) is a computer on a single chip. A piezo sensor is used for the measurement of dam and barrage vibration and shock. Barometric pressure sensors measure the absolute pressure of the air around. The water flow (discharge) sensor consists of a pinwheel sensor that measures the quantity of water that has passed through it. A float switch is used to sense the dam water level. A relay module is connected to operate the gates of the dam and Barrage remotely. Figure 6.6 shows the circuit configuration of the IoT-based dam and barrage monitoring system.
IoT Based One-to-One Security Web Application for Smart Home
Published in Anuj Singal, Sandeep Kumar, Sajjan Singh, Ashish Kr. Luhach, Wireless Communication with Artificial Intelligence, 2023
Harsha Vardan Maddiboyina, V. A. Sankar Ponnapalli, A. Naresh Kumar
NodeMCU is a low-cost IoT device that is integrated with ESP8266 WiFi SOC. It has developed by Espressif Systems in 2013. It has been successfully employed in various fields, like internet smoke alarms, security alarms, octopod, VR tracker, serial port monitor, incubator controller, IoT home automation, and ESP lamp. The pin layout of NodeMCU is depicted in Figure 4.1.
Internet of Things (IoT)-based industrial monitoring system
Published in Muhammad Arif, Guojun Wang, Mazin Abed Mohammed, Md Tabrez Nafis, Vehicular Ad Hoc Networks, 2023
Syeda Florence Madina, Md. Shahinur Islam, Fakir Mashque Alamgir, Mohammad Farhan Ferdous, Muhammad Arif
NodeMCU is an open-source IoT platform. It has firmware that runs espresso system ESP8266 Wi-Fi SOC and ESP-12 module-based hardware. By default, the word “NodeMCU” refers to firmware instead of development toys. The firmware uses the Lua scripting language (Figure 8.1).
An Optimal Model for Power Quality Improvement in Smart Grid using Gravitational Search-based Proportional Integral Controller and Node Microcontroller Unit
Published in Electric Power Components and Systems, 2022
M. Manimegalai, K. Sebasthirani
To monitor the power quality IOT module NodeMCU was used. The NodeMCU has an ESP8266 chip and LX106 RISC Microprocessor. This microprocessor has the 80 MHZ to 160 MHZ adjustable clock frequency and an inbuilt Wi-Fi module to monitor the system in real-time. This NodeMCU is the Open source module connected with the SAPF [25] to monitor the power quality [18]. The parameters like Source current load current, load voltage, THD value, and Source voltage are applied before the SAPF and THD after SAPF was applied. These values are loaded into the Cloud environment, to monitor the power quality issues by the distributor via the website. The website can also be viewed on a mobile phone. The NodeMCU module will send the information to the website every 3 s. NodeMCU is connected to the source end and also to the load end to view the current flow in the system. The SAPF was connected with NodeMCU is called an SMSG system and the performance of the system are analyzed in the experimental setup.
An FPGA-based design for power efficient low delay rate adaptive pacemaker using accelerometer and heart rate sensor
Published in Journal of Medical Engineering & Technology, 2022
Rohini Srivastava, Ch Kalyan Kumar Prusty, Nitin Sahai, Ravi Prakash Tewari, Basant Kumar
A dual sensor RDPM design having low delay and low power consumption has been proposed in this paper. Pulse sensor and motion tracking sensor are used to measure heart rate and activity of the patient respectively and the data of these sensors are fetched up using NodeMCU (ESP8266) IoT board. NodeMCU is a low cost, low energy consumption with integrated wi-fi module microcontroller and it is also very convenient to application development [21,22]. The main purpose of IoT board is to wirelessly acquire real-time sensor data which can be used as input to the proposed PLRDPM algorithm.