The AI ​​system will monitor the pollution from every factory in the world

The AI ​​system will monitor the pollution from every factory in the world

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We will all know where the air radiates, what time is it worse and whether there is above it an umbrella – no one will be able to hide When it comes to environmental protection, the public can be a terrible regulator.

WattTime – will use satellite imagery to accurately track air pollution from every plant and every fact in the world – in real time. Moreover, WattTime will make the data public. News is of great importance to billions of people around the world.

Lack of tracking and accurate air emission data makes it difficult to apply pollution constraints to all types of pollutants – power plants, plants, illegal installations, etc. The new system promises effective elimination of the problem – “game” of emission data. Public Data Real-time access to information will not only have regulators but also the general public.

This is perhaps the most important aspect of innovation, says Vox. When it comes to environmental protection, the public can be a more serious regulator than any state body. If a group of citizens around the world can compile a list of the worst power plants in their area, it eliminates one of the major information barriers for civilian activities for cleaner air. Citizens have a reason to organize themselves.

According to the latest report on the world air, pollution is the cause of 5 million premature deaths each year – and 147 million years of health loss each year. Very often large pollutants remain hidden in the “fog” of inadequate and inaccurate information. But now citizens will be armed with accurate, reliable and reliable information – in real time.

Eyes in the Sky The plan is to use satellite data that will be publicly available (such as the Copernicus Network of the European Union and the US Landsat Network). It will also use data from several private companies that will charge their data (such as a digital globe). The data will come from different sensors working at different wavelengths.

The pictures will be processed with different algorithms of detection. It has now been proven that much of the pollution can only be traced by identifying visible smoke. WattTime says it can use infrared images to detect the heat of flue gas or coolant water. Sensors that can directly monitor NO2 emissions are under construction, executive director WattTime Gavin McCormick said.

Together with the visible smoke, heat and NO2, WattTime will be able to get accurate information on real-time emissions, including carbon footprint information for every power plant in the world. McCormick says the data could also be used to get information on water pollutants such as nitrates or mercury.

Who is behind this funding comes from – Google’s philanthropic wing allows the project to start at $ 1.7 million. The choice was made through the Google AI Impact Challenge. WattTime, a non-profit organization that is now a subsidiary of the Rocky Mountain Institute, gave the impression of its Automated Emission Reduction System (ANE) at the beginning of the year.

It is a program that utilizes real-time network data and a self-learning machine to accurately determine when the electrical network produces the cleanest electrical energy. The system can then automatically adjust power consumption at the same time to ensure that consumers use the lowest carbon footprint (many energy-consuming activities can be changed over time, such as water heating, battery charging, and some industrial processes).

The ANE system is fully automated. Works in the background without user intervention. In its new air pollution monitoring project, WattTime will collaborate with Carbon Tracker, a think tank that previously worked with satellite imagery using them for financial analysis of power plants (including a recent survey that shows 42% of global coal-fired power plants are in loss ).

The project partner is the World Institute and Resources. In short, WattTime is a non-profit organization with a clear mission, solid partners and serious financial support. Despite the small size, it has the opportunity to become a global database for transparent and reliable air pollution data. Immediate Effects Real-time pollution source information – means creating and implementing any tools and reducing pollution.

Here are some of McCormick’s comments: – In many countries and regions there is a doubt about incorrect, distorted reporting of harmful emissions – and are based on solutions for permissions, fees, fees and constraints. There will now be a reliable, “third party” source of verified information for every power plant, every factory, every installation.

This eliminates the possibility of cheating the system through distorted reports, mobile metering stations, etc. – real-time pollution data will allow ANE to operate anywhere in the world, regardless of sources of data from the state or industry. – Real-time pollution information will help developers of renewable energy to design and position their projects in areas where they can make the most of their benefits. – satellite data can be used for more accurate financial analysis of power plants.

The WattTime program will make this analysis more reliable and will help to better identify those areas where renewable energy is now cheaper than fossil fuels. It will all become reality when the information becomes public. Long-term Benefits The greatest benefit of real-time monitoring will be information to the public.

Citizens, non-governmental organizations and governments will be able to organize control and pressure on sources of harmful emissions. For many business organizations, the very fact of detecting the emission of large amounts of harmful emissions – which has so far been unclear – will be a major incentive for change.

This is because the impact of business behavior that respects the environment to their overall picture and their revenue is growing. More and more large shareholders of large organizations are looking for managers to take into account the carbon footprint of the organization, the climate risks it creates. The public will have pressure on the company and the authorities.

In many places in the world, it is a practice that local authorities conceal pollution data, conceal large violators of clean air regulations, or simply avoid liability based on the lack of clear and accurate data. Now this hide will become impossible.

We will all know where the air radiates, what is worse and what time. It will also be clear whether state authorities have an “umbrella” over it. No one will be able to hide.

The AI ​​system will monitor the pollution from every factory in the world

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