Design of intelligent collection system for marine pollution information based on broadband Internet of Things

With the development and utilization of marine resources, marine pollution is becoming more and more serious, and has become an urgent problem to be solved. In order to obtain the situation of marine pollution in time and reduce its loss, this study designs a marine pollution information collection system based on the broadband Internet of things, and analyzes the components of the system. The experimental results show that the pH value of Class A sampling point is about 8 through the projection analysis of the clustering results in the characteristic space of environmental monitoring parameters; dissolved oxygen (DO) value is about 7. The salinity ranges from 25 to 35. The temperature is about 22 degrees C. The pH value of Class B sample is about 8. DO value is between 3 and 5. The temperature is kept at about 22 degrees C. The salinity ranges from 12 to 25. The pH value of type C sample is low. Its DO value is 3 similar to 5. The salinity is distributed between 6 and 19, and the temperature is maintained at about 23 degrees C. The pH value of type D sample is between 8 and 12, with a wide range of changes and is alkaline. Compared with other three types of sample points, its salinity value is 0 similar to 15. DO value is the lowest, about 2. The temperature is maintained at about 24 degrees C. The water quality at the sampling point of Class A data source is the best, and that of Classes C and D is the worst. To sum up, the system proposed in the study can be better applied to the actual judgment and monitoring of seawater pollution, and provide scientific data support for reducing marine pollution.