Bonfring International Journal of Software Engineering and Soft Computing, Vol. 9, No. 2, April 2019 40 Abstract--- The level of pollution has increased with times by lot of factors like the increase in population, increased vehicle use, industrialization and urbanization which results in harmful effects on human wellbeing by directly affecting health of population exposed to it. In order to monitor quality of air, water quality and sound level of the environment over wireless sensor network (WSN) based new framework is proposed which is based on data acquisition, transmission and controlling. The proposed work provides detail about the level of air pollution in particular regions, and alerts message gives in cases of drastic change in quality of air. This information can help to take immediate actions such as evacuating people or sending emergency response teams. I. INTRODUCTION N industry quality assessment is an evaluation of the industrial quality in relation to standard quality set by pollution control board. Particular attention is given to factors which may affect human health and the health of the natural system itself. The quality assessment of the industrial environment has been, traditionally, the need to verify whether the observed industrial quality is suitable for intended uses. The use of monitoring has also evolved to determine trends in the quality of the water, air and soil environment and how they are affected by the release of contaminants, other anthropogenic activities, and/or by waste treatment operation (impact monitoring). To estimate nutrient or pollutant fluxes discharged to rivers, ground waters, lakes, oceans and soil or across international the boundaries. The assessment of background quality of the industrial environment is also now widely undertaken as it provides a means of comparison with impact monitoring. It is also used simply to check whether any unexpected change is occurring in otherwise pristine pollutants. Industrial environmental quality is varying depending on local conditions[2]. The main problem faced in previous papers where either the process was complex or it required high cost for implementation. Lacking in access at remote locations and hence this system proves to overcome these major drawbacks S. Kavitha, Final Year, EEE-Institute of Road and Transport Technology, Erode. Dr.S. Sutha, Assistant Professor/MCA, K.S.R.College of Engineering, Tiruchengode. DOI:10.9756/BIJSESC.9020 II. LITERATURE SURVEY This paper is concerned with the application of wireless sensor network (WSN) technology to long-duration and large- scale environmental monitoring. The holy grail is a system that can be deployed and operated by domain specialists not engineers, but this remains some distance into the future. We present our views as to why this field has progressed less quickly than many envisaged it would over a decade ago. We use real examples taken from our own work in this field to illustrate the technological difficulties and challenges that are entailed in meeting end-user requirements for information gathering systems.[3] Reliability and productivity are key concerns and influence the design choices for system hardware and software[1]. The main problem faced in previous papers where either the process was complex or it required high cost for implementation. Also other processes mainly lacked access at remote locations and hence this system proves to overcome these major drawbacks The main objectives of Industrial pollution monitoring system using GSM are 1. To determine the quality of effluent management and working environment in industries. 2. To determine the key descriptors to be considered in pollution monitoring. 3. To determine the feasibility and cost of a monitoring program. III. COMPONENTS A. PIC16F877A Microcontroller Device PIC16F877 belongs to a class of 8-bit microcontrollers of RISC architecture. It has 8kb flash memory with Flash used for storing software and suitable for micro device development. For continuous power supply to regulate temperature, If during a loss of power supply this data was lost, we would have to make the adjustment once again upon return of supply. Proposed work would use the following components • RISC architecture • Only 35 instructions to learn • All single-cycle instructions except branches • Operating frequency 0-20 MHz • Precision internal oscillator • Factory calibrated Pollution Monitoring and Controlling System Using Global System for Mobile Communication Network S. Kavitha and Dr.S. Sutha I ISSN 2277-5099 | © 2019 Bonfring