# A Regional Multi-Agent Air Monitoring Platform
## 2 Related Works  
There are various global air monitoring platforms that offer different analyses, usually using classical statistical models. In the European area, one of the best-known platforms is DELTA v7.0 [7]. DELTA Assessment & Planning software was developed to assess models and visualizations from complex numerical data in accordance with the FAIRMODE benchmarking initiative [8]. Two basic tools are integrated in the platform, the first for assessment and planning and the second for the benchmarking of emission inventories. The European Air Quality Index application [9] provides access to up-to-date air quality monitoring data from stations located in European cities. This platform provides air quality forecasts and health advisories in 24 European languages depending on the users' location. The World Health Organization provides technical support to Member States in developing regulatory guidance and tools and providing authoritative advice on health issues related to air pollution and its sources [10]. The organization prepares reports on global trends and changes in health outcomes related to actions taken to address air pollution at global, national, and regional scales. We will briefly present the solutions that were announced as some of the best air quality monitoring solutions for 2024. SafetyCulture [11] offers one of the best air quality management software platforms due to its included feature set that allows various industries to remotely track and analyze air quality in facilities, commercial sites, and vehicles. Similar features are offered by the Aeroqual platform [12], established in 2001 and based in New Zealand. Kaiterra [13] can search for air quality monitoring solutions through advanced software analysis and a team of experienced experts. Ref. [14] supports companies in Indonesia, India, and Lagos with analyses using parametric, location, and time comparisons. One of the world's leaders in environmental management solutions, Envirosuite [15], offers high-quality air monitoring software for mining, manufacturing, and transportation companies. Rated as one of the top environmental software providers, ERA Environmental [16] has always had a comprehensive approach to environmental management, with advanced emissions tracking capabilities and custom reporting features. Building on its many years of experience in air quality monitoring, ENVEA [17] provides a wide range of digital solutions, hardware, and services for industrial facilities, government agencies, and research institutions. The assessment of air quality is complicated by the fact that pollution is transported from one location to another by wind in the atmosphere, thus transforming the problem from a local one into a global one. Therefore, ground-based and satellite observations of larger areas can provide valuable data on air quality. Copernicus Atmosphere Monitoring Service [18] provides computational models of the atmosphere that can be applied to make daily forecasts of air quality using satellite and ground-based observations. The combination of the huge number of daily observations and the accuracy and efficiency of the models used is the great advantage of this system. In addition, the system is able to prepare daily analyses and forecasts of the global movement of atmospheric gases over the whole of Europe. Understanding the importance of the issue, MDPI has published many special issues on air monitoring, and some of the articles will be referenced in this section. Increasingly, analyses applying artificial intelligence approaches and models, such as machine learning using large datasets, transform models, and similar techniques, are being published. Such examples can be found in many of MDPI's special issues. In [19], a framework is proposed for global air quality forecasting incorporating Busan, South Korea, as a model city using an attention-based convolutional BiLSTM autoencoder model trained to forecast PM2.5 and PM10 particulate matter pollution intensity.