Indoor environmental monitoring and management system has played an essential role in public health sustainability. By monitoring the indoor air quality in public areas such as schools, offices, home or other buildings, the authorities will be given a better picture of the indoor air quality to take the right steps to ensure the better air quality for people inside the buildings. This system also can give information about indoor air quality information for the society. Therefore, to achieve this goal, we need to develop a monitoring system by using Information Technology based on Big Data and Cloud Computing environment to give warning. In this paper, we propose Intelligent Indoor Environment Monitoring System (iDEMS) combined with ZigBee wireless sensor network technology to store and process environmental data in HBase. The mechanism of the proposed system is classified into three stages: data collection, data processing, and information monitoring. To understand an Intelligent Indoor Environmental Monitoring, first, we collected the gas from Intelligent Indoor Environmental Monitoring through the environmental sensors with ZigBee wireless sensor network technology. We build a platform for iDEMS to collect the data related to the indoor gases. Second, the environmental data collected in the first stage will be stored and processed in HBase which support massive data storage and free to increase storage capacity for the analysis and processing of Big Data. In this stage, we also compared several data-input methods to import data in HBase much more efficient. Third, the intelligent-control socket is integrated into iDEMS and give the warning if the air quality exceeds the absolute legal limit based on the air quality index rule from the authority. Finally, iDEMS presents the resulting information by a web-based Monitoring Platform so that users can use the Internet to monitor the environment and enable them to utilize these informed decisions on managing and improving the environments.

Introduction

The importance of the indoor environmental monitoring system for human safety and health is growing, specifically intelligent monitoring and control system for air cleanliness. Most people tend to think that air pollution is only happening in outdoor environments, such as exhaust fumes from vehicles, the burning of fossil fuels in industries, or forest fires. In reality, the air inside schools, offices, homes, and other buildings can be more polluted than the air outside. Indoor air pollution might be polluted by volatile chemicals from building materials and cleaning products, cigarette smoke, the burning of fuels from stoves and ovens. Another significant source of indoor pollution is dust mites, mold spores, and pet dander. People with special needs, like children, elderly and people with the pulmonary disease might be especially sensitive to indoor pollutants. After repeated exposure, other effects might appear years later. These motivate us to develop the model and system to monitor the value of indoor air pollution level using the sensor in Big Data and Cloud Computing environment. We have reference to the scientific and commercial data grow exponentially, which focus on improving the resource utilization, reducing power consumption, and achieving the large-scale data analysis [1, 2, 3].