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In tandem with the rapid development of science and technology is a significant decline in environmental quality. Research and production activities contribute to environmental pollution in soil, water, and air, diminishing the quality of life and public health. Therefore, businesses need to deploy measures to address and monitor the environment for corrective actions. Environmental monitoring software aims to measure parameters in the environment through sensors and data collection devices. It ensures that environmental parameters in monitored areas are consistently controlled. The software plays a crucial role in managing the environment to control and systematically store data securely.

Today, air quality has become a prominent concern for both human health and the natural environment. Increasing urbanization, industrialization, and climate change have led to increasingly severe air pollution. In response to this issue, the Internet of Things (IoT) has emerged as a powerful tool for monitoring ambient air quality. This article will discuss the application of IoT in this field and introduce iLotusLand's IoT solution for monitoring ambient air.

iLotusLand software supports the synthesis and report of measured parameters from the monitoring system, while controlling and analyzing real-time IoT environmental monitoring data. The software relies on data to make intelligent decisions in monitoring environmental waste processing. The measured parameters will always be continuously recorded and in real-time.

In the course of business and production activities, projects generate sources of pollution that directly impact the surrounding environment. To enhance environmental awareness within enterprises, manufacturing and production units need to compile various environmental records. One of these records is periodic environmental monitoring reporting.

“Green Economy” with"Carbon Credit Market” are financial mechanisms that strongly contribute to minimizing the impact of climate change and addressing environmental challenges. This parallel connection will help accelerate the transition to a more sustainable green economy following global trends. Join iLotusLand to initiate the movement to develop the Carbon credit market in Vietnam.

Notifications are tools that let you know what's happening when data or devices experience specific problems that are of concern to managers or operators. Erratic incidents in operation are a problem for managers and operators of systems related to environmental monitoring stations that need to be calculated and resolved as quickly as possible. This can lead to system stagnation, affect output quality, and directly put pressure on environmental pollution. It is unimaginable if an incident lasted for several hours instead of promptly handling it, bringing about a stable balance, minimizing the impact on the living environment.

We can know Machine Learning applications in life, such as Tesla or Google's self-driving cars, Facebook's facial recognition system a few years ago, Apple's Siri virtual assistant. , Amazon's product recommendation system, etc. Netflix movie suggestions... and countless other applications. Machine Learning has been a worldwide technology craze in recent years. In the industrial world, big companies like Google, Facebook, Microsoft, Tesla, and Amazon to startups all invest in Machine Learning. Since then, a series of applications using Machine Learning have been born to serve all areas of life, from computer science to less related fields such as physics, chemistry, medicine, politics, etc., that can’t help but mention iLotusLand.

Does your data monitoring system have a comprehensive overview? What do you think of our tool with just one dashboard that reflects “numbers” that are immediately useful for your work and that has the ability to leverage information from your own data sources as well.