Modern history is full of examples of severe environmental hazards and major tragic incidents. In the 1984, due to a lack of modern sophisticated safety and monitoring tools, the Bhopal chemical plant explosion
in India tragically ended thousands of innocent human lives. The tragedy was repeated not long after in 1986 at the Chernobyl disaster
in the Ukraine which was possibly the most severe environmental hazard of all time.
In April 2010, the worst US mining disaster in 40 years occurred at the Upper Big Branch mine
in a blast that killed 29 miners, this tragedy has been blamed on insufficient safety precautions. Later also in April 2010, the BP oil spill disaster
in the Gulf of Mexico began; to date it continues to wreak havoc on the environment and will likely do so for generations to come. These examples are wake up call for leaders to invest in sophisticated safety and monitoring tools in order to prevent future damage and destruction to the environment and to avoid the long and painful legal and financial burdens that may result from further neglect.
Green Cortex is able to design a series of complex intelligent monitoring and alert mechanisms that replicate the human brain models to develop features like self optimization, self organization, self healing and adaptation as needed in case of local failures. The Green Cortex team has abundant experience in delivering quality technologies to adequately prevent and avert disasters. We have developed a working system for the prevention of major industrial accidents and pollution to the environment for P&G's production site (an award-winning invention by Green Cortex's Chairman & CEO Mr. Eberhard Schoneburg).
Industrial Safety & Monitoring Systems based on Artificial Neural Networks
Major explosion in 1989 in Procter & Gamble's production site close to the city of Brussels. Artificial Life was engaged for the development of PSAIS, a highly successful safety system, which remain in use in P&G plants world-wide after 20 years and continuously learns and grows in power.
Illustrated below is a highly simplified model of biological neural nets as they exist in the human brain. The operating and adaptation mechanisms of these Artificial Neural Networks form the underlying technology in our computer science that simulates the functions of the human brain to develop self-learning systems and algorithms. All by itself the system can also optimize the many extremely complex details that go into the construction of plants containing thousands of pipes, devices, power circuits, valves, vessels, sensors, etc.
The Safety Cortex will be launched as a software package that helps safety engineers during the design of industrial production plants. The various modules of the system will automatically identify and analyze potential environmental hazards and present the engineering team with recommended solutions.
The diagram below shows the key functional components of the safety cortex computer system based on artificial intelligence which identifies potential environmental hazards for complex (chemical) production plants.