HMN-347 and on going Monitoring platform system of IoT Devices was designedį. Since various parameters need to be monitored remotely, a client/server system which uses IoT sensors, wireless communication, and an unconscious access was designed. The proposed model continuously checks different parameters under monitoring and automatically manipulate the parameter, e.g. sending a signal to increase/decrease the rate of the controlled device, modifying the speed etc. These parameters include temperature, humidity, light intensity, location, flow rate, etc. Each parameter sensor sends data to another node/device/element inside the network using the wireless connection (wifi, other IEEE etc) of the Raspberry Pi.
Realizing this idea on the IoT framework of Model of Research and monitoring system, this system is created with various IoT sensors, a wireless connection, and RPi to make a continuous monitored system for monitoring and controlling the parameters. A pathway was created with the Node.js and IP software for this system
# Instructions
It's used to measure humidity, light intensity and other parameters of the wireless system on Sensor (ANO-4) which can be adjusted to suite the needs of the users. This system is useful to compute and monitor the control parameters in real time to inhibit random alterations.
# setup
# simulation of target monitoring and control System
The next of step is to set up the WSN devices Visual Studio and subgrid data of company to measure of volume of light, temperature, humidity behaviour of the process environment.
## Connect drive to the board
## Install dependencies
## Build the wire unit sensors and experiment ingredients
Pack of breeds to evaluate and understand the table of a process and estimated of
2023年3月17日