1.56 billion masks have flowed into the ocean. How to solve the monitoring and management problems?

With the increasing population and accelerating social development, in recent years, the marine environment has increasingly become a stepping stone for economic development. A large amount of garbage accumulated in cities over the years has been thrown into the ocean, and large areas of oil resources that are fiercely competed among countries have been leaked onto the sea surface, all of which have caused serious harm to the marine environment and marine life.

It is understood that more than 10 million tons of garbage are discharged into the ocean every year, of which plastic waste accounts for 80%. Relevant data shows that a truckload of plastic waste is thrown into the ocean almost every minute. More than 8 million tons of plastic are abandoned in the ocean every year. Together, they can circle the earth more than 400 times.

At the same time, according to relevant research, there are at least 500 million plastic fragments floating in the ocean, with a total mass of more than 260,000 tons. Most plastics are shattered in the ocean and decomposed into particles with a diameter of no more than 5 mm. They are deeply integrated into every inch of the ocean's "skin" and can penetrate into the seabed 10,000 meters deep. Garbage pollution is increasingly becoming a "cancer disease" in the ocean.

And in 2020, such damage and harm will further intensify. According to a new report released by the Marine Conservation Organization, at least 1.56 billion masks entered the ocean in 2020. This vital anti-epidemic weapon for medical staff and ordinary people is becoming another cause of death of marine life and pollution of the marine environment. Prime culprit".

We know that disposable masks are not degradable. If they are thrown away randomly, it will take 400 to 500 years for the discarded masks to degrade in the environment, causing inestimable harm to the environment. If it is accidentally eaten by animals during this period, it will not only directly cause the animals to have difficulty eating, but also affect their survival and reproduction due to the toxins and pollutants adsorbed on the masks.

Based on this, how should we fight against the problem of marine garbage pollution?

Intelligent Manufacturing Network believes that the management of marine garbage must comprehensively grasp the source, type and quantity of marine garbage, and take effective measures to prevent and remove it. This requires us to start from Monitoring and treatment are carried out. Intelligent technologies and equipment such as drones, robots, and autonomous driving will provide important assistance.

Among them, drones, big data, artificial intelligence, etc. can play a huge role in monitoring. The use of drones to monitor the seaBy conducting garbage inspections and data collection in the ocean, and then collecting and analyzing it through artificial intelligence, big data, etc., we can have a comprehensive and accurate understanding and grasp of marine garbage, so as to formulate effective management methods.

At the same time, drones, robots, self-driving sanitation vehicles, etc. also have significant effects in governance.

On the one hand, through the "sky eye perspective" of drones, people can more conveniently obtain the real-time distribution of marine garbage, and carry out targeted removal of garbage, greatly reducing the workload. and work stress. On the other hand, investing in equipment such as underwater robots, cleaning robots, and smart sanitation ships can also enhance the efficiency and intensity of garbage removal.

In addition, as autonomous driving technology becomes increasingly mature, the application of autonomous driving to ships can also bring convenience to the transportation and processing of marine garbage. All in all, with the help of many smart technologies and products, the prevention and treatment of marine garbage will become more convenient, easier and faster, and the time for the ocean to be restored to cleanliness is expected to be greatly advanced in the future.