Research On Monitoring System For Marine Oil Pollution Based On Android Platfor

As an important part of China's economic development,the ocean economy accounts for more than half of the national economy.However,the ecological environment is inconsistent with the speed of economic development.Marine environmental accidents such as industrial wastewater and oil spills often occur.Ecological disasters such as red tides and green tides occur frequently.Marine ecological issues have a growing trend.The marine ecological environment is related to the lifeline of the country and is the key point for realizing wild China.Therefore,the main task of marine environmental monitoring is that timely,accurately and comprehensively access to marine environmental monitoring data,and objectively reflect the quality of marine environmental conditions and trends,and timely tracking changes in pollution sources.Traditional spectrum detection instruments mostly adopt USB and PC to transmit and process data.The large volume of the system is not easy to carry,which restricts the popularity and application of the detection instruments.At the same time,the traditional marine oil pollution detection can realize pollution identification and judgment of the oil type.And the optical algorithm can calculate the oil film thickness,but its measurement range is small and the accuracy is poor.In this thesis,laser-induced fluorescence(LIF)technology is introduced to obtain the spectrum of marine oil pollution.Bluetooth technology is used to send data.Android software receives and processes the spectrum data in real time.And a new fluorescence Raman ratio algorithm is integrated.The realtime,accurate and large-range detection of the oil film thickness of the marine oil pollution is realized in the system,which reduces the volume and cost and has the advantages in portability and intelligence.The research content of this thesis is as follows:Firstly,the transmission of spectrometer data is completed through Bluetooth technology.Android application can search and pair the surrounding Bluetooth devices.And the Bluetooth data is received and spectral information is extracted in real time.And the SQLite database can be established to realize the storage of attenuation coefficient and fluorescence conversion coefficient of different kinds of oil.According to the new fluorescence-Raman ratio algorithm,the corresponding parameters are extracted from the database,and the oil film thickness is analyzed through software.At the same time,Android draws the data curve in real time and stores it in the form of a file.The Android software page layout is optimized to make it overall beautiful and simple.Secondly,the relevant parameters of diesel,crude oil and lubricating oil are determined.The oil film thickness of three kinds of oils was tested by using ocean spectrometer and oil pollution experiment platform built in the laboratory.The results showed that the range of diesel oil was 0.5?13 mm,crude oil was 0.3?200 mm,and lubricating oil was 0.008?1 mm.And the resolution could reach 10?m.The curve fitting results basically corresponded to the measured values.Finally,the field test of Android system showed that the Bluetooth data processing time was stable between 105 and 131 ms,and the software could run stably without memory overflow.Experiments showed that the system met the design requirements of fast speed,stability,portability and concise interface,which detected oil film thickness accurately in real time and at low cost.And mobile and digital detection of marine oil pollution has certain market application value.