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Development Of Water Quality Ammonia Nitrogen Automatic Detection System Based On Information Fusion

Posted on:2022-03-26Degree:MasterType:Thesis
Country:ChinaCandidate:L X LiFull Text:PDF
GTID:2491306506471574Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
With the increasing degree of industrialization in my country,the problem of water quality deterioration has become increasingly prominent.The deterioration of water quality will not only pollute the regional ecological environment,but also pose a great threat to human health.Therefore,water quality testing is necessary.Ammonia nitrogen is one of the important indicators issued by my country to reflect the water pollution situation.The currently commonly used water quality ammonia nitrogen detection systems can basically meet the domestic water quality ammonia nitrogen detection needs,but most water quality ammonia nitrogen detection systems are expensive and the detection accuracy is easily interfered by external factors,resulting in the water quality ammonia nitrogen detection accuracy is not high enough.To solve the above problems,water quality ammonia nitrogen automatic detection system based on information fusion was developed to achieve reliable and stable automatic detection of water quality ammonia nitrogen,and the detection accuracy is high.The main research contents are as follows:(1)According to the water quality ammonia nitrogen detection process,a set of actuator control system is designed.In order to improve the reliability of the system,the actuator automatic control technology is proposed,including variable speed control technology and feedback control technology.The trajectory planning of the manipulator is carried out by the fifthorder polynomial interpolation method to make the manipulator action more smooth and stable.(2)An actuator monitoring technology is proposed,which enables users to monitor the operating process of the actuator in real time,and realizes fault self-diagnosis,power failure monitoring and power failure protection functions.After the device is powered on and restarted,it can automatically reset according to the operation process when the device is powered off.(3)In view of the factors influencing the detection of ammonia concentration by Nash reagent spectrophotometry in harsh environment,temperature,p H value,color peak time and absorbance value were taken as input,and ammonia concentration was taken as output.A water quality ammonia nitrogen information fusion model was established by RBF neural network algorithm.The model was used to realize detection precision compensation,reduce the interference of influencing factors on ammonia nitrogen detection,and improve the detection accuracy.(4)The entire water quality ammonia nitrogen automatic detection system was constructed,including the actuator control platform,water quality parameter detection module,remote communication module and remote monitoring terminal.(5)Based on the built-up ammonia nitrogen automatic detection system,the reliability experiment of the actuator control system and the water quality ammonia nitrogen detection accuracy experiment were carried out.The experimental results show that the actuator automatic control technology designed in this subject can make the actuator control system operate reliably and achieve certain fault-tolerant control;the actuator monitoring technology can monitor the operating process of the actuator in real time,and realize the power-off monitoring and power-off protection functions.The actuator can be automatically reset after the power is restarted,achieving the expected results;The water quality ammonia nitrogen automatic detection system established in this subject can weaken the interference of influencing factors and improve the detection accuracy,the maximum difference between the test result and the standard ammonia nitrogen concentration is 0.083mg/L,and the relative standard deviation is 4.49%.
Keywords/Search Tags:Water quality ammonia nitrogen, Variable speed and feedback control, Monitoring technology, Trajectory planning, Information fusion
PDF Full Text Request
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