Research On Water Turbidity Detection Method Based On Passive Perception

In our daily life,the safety of water resources is facing severe challenges.The study of water plays a very important role in actual production and life.The traditional detection methods of water have the disadvantages of complicated experimental operation,expensive equipment,low detection accuracy,and being easily affected by the outside world.In order to solve the deficiencies in the existing methods,it is necessary to introduce new research methods.In this paper,the detection of water is based on passive sensing technology,with the goal of achieving more efficient and high-precision experiments.First,for the propagation of passive RFID signals in water,a multipath propagation model is constructed and analyzed.In the modeling,there are two different situations,namely,no sediment and sediment.For the case where there is no sediment in the water,the signal propagates through the water and directly backscatters to the antenna,the propagation path is fixed,and the signal change is only related to the propagation distance.In the presence of sediment,signal propagation will be blocked by suspended sediment in the water to form multiple paths,causing phase changes.In this paper,by establishing a signal multipath propagation model,the factors affecting the change of phase information in the water body are analyzed.Secondly,the relationship between the fused phase characteristics and the turbidity concentration of the water body is determined.Preprocess the collected original phase information,select appropriate phase features for fusion,and determine appropriate data basis for the study.When conducting turbidity testing,it is divided into two stages: offline and online.In the offline phase,according to the experimental method,the determined functional relationship between the phase characteristic and the turbidity is fitted.The method is tested in the online phase,and the proposed polynomial fitting function is used in real-time phase determination to achieve accurate measurement results.Finally,this paper deploys the method in the laboratory scenario and design the actual field deployment.By analyzing and evaluating the processing proposes in this paper.