DataStorm Project: Developing Integrated Real-Time Monitoring Framework for Cloud-Based Systems

The DataStorm project was developed by Stavanger University (UiS) and Stanford University (SU) based on the previous BioSTORM project. It is designed to develop an integrated real-time monitoring framework for cloud-based systems. The BioSTORM project has created an ontology-driven framework for developing the JADE agent system. This project proved that a rich modeling environment that enables the definition and verification of declarative models was successful in disease occurrence detection modeling.

The National Resources Environmental Safety Monitoring System project planned to use internal development satellites to establish an observation network, integrate space-based remote sensing and land observation, and develop an integrated platform for environmental monitoring It is. This system improves normal monitoring techniques and emergency response technology to achieve rapid information gathering, real-time data processing and emergency response transmission.

New surveillance technology helps companies secure the integrity of vast water supply networks. With real-time wireless connectivity to electronic devices such as pressure sensors and acoustic sensors, centralized and cloud-based monitoring systems, companies can more quickly detect and identify leaks. Intelligent irrigation: About 70% of the world's freshwater is used in agriculture. By introducing precision irrigation systems, computer algorithms, and modeling, smarter approaches to water management are beginning to benefit developed country farmers.

Although not widely used locally, the aquarium is an old and proven tool that can help fight the global drought. The StormCatcher project features a 21st century reservoir with cloud-based monitoring and control to optimize system performance in real time. Our new climate reality requires a new approach to water management and the StormCatcher project cooperates with government agencies and the public to supplement the municipal water supply, reduce pollution spills and avoid flood risks I promise to do.

Nectar, a startup based in Montreal, has developed a fully integrated beehive management system. After applying the custom sensor, the beekeepers can monitor the beehive in real time via the smartphone. In this way, when there are problems, they will receive an early warning signal - there is no interference with the colony. Recently, Planty, a vertical greenhouse company headquartered in San Francisco, became the biggest seed fund round of agtech. SoftBank Vision, the world's largest technology fund, invested more than $ 200 million in the company. IoT sensor and machine learning are heavily used, and only light, water, nutrients are used to cultivate crops vertically in the room. The company claims to use only 1% of water compared to traditional agricultural technology while producing up to 350 times more water with 1 square meter of water.