Course Content

we are developing a system which will automatically monitor the industrial applications and update the pollution information continually on cloud so one can monitor it from anywhere. Using concept of IoT. IoT has given us a promising way to build powerful industrial systems and applications by using wireless devices, P.C, and sensors. A main contribution of this review paper is that it summarizes uses of IoT in industries with Artificial Intelligence to monitor and control the Industry. Here in this project Arduino is used as the main controller and through wi-fi the data is send to the concerned person about the different parameters of the industry. 

The terms monitoring and assessment are frequently confused and used synonymously. The process of industrial quality assessment is an evaluation of the industrial quality in relation to standard quality set by pollution control board. Due to the complexity of factors determining industrial quality, large variations are found between different industries. Similarly, the response to industrial impacts is also highly variable. To design an Industrial machine control and monitoring system using IOT. Surveillance is most important security systems in home, industrial, office and public places. To build a robust system that can measure the industrial pollution and help to reduce it and to decrease human interference in monitoring the industrial pollution to reduce pollution and provide a healthy environment for the workers to work in. To build a robust system that evaluates the industrial pollution continuously and indicates when there is an increase in emission and controls it using IOT.

CONCLUSION

The IOT concept can be applied to a wide range of application. We implemented the use of IOT in Industrial pollution monitoring and this project, real time air pollution monitoring system based on IOT is presented. GSM is connected through level converter and an IOT module is connected to get the real time data so that the users can login and get data. Real time monitoring of air quality parameters ensures that the industrial emissions levels are maintained throughout and helps us to track all the data in a single place (i.e) cloud and reduce the pollution based on the collected data.The implementation cost is very economical as the sensors and the microcontrollers are easily available. The online database system has increased the flexibility by updating all current parameters of the industries over a common server. The camera can be upgraded in future with image processing algorithms to enable a fully automated system for safety, such as fire alarm, gas leakage. This enables to generate automated control action in the absence of the authorized user.