Research On Ruminant Monitoring System Based On Wearable Pressure Sensor And LoRa Network

Along with the dramatic increase in the number of cows in the pasture increased workload in pasture production,produce completed use artificial milk production,dairy cattle breeding and disease prevention is basically impossible,need to finish the work with means of mechanization and informationization.Therefore,this thesis studies wearable pressure sensor and LoRa networks ruminant monitoring system,to implement low cost,low power consumption,high precision monitor their cud behavior,timely access to the cow body health,reduce farm staff working pressure,improve farm productivity.First of all,the thesis analyze the mechanism of dairy cattle ruminant,including pressure ruminant detection,ruminant detection based on 3D sensor,the ART-MSR cows ruminant detection,comprehensive analysis,select voices as cows ruminant detection method.Then,the system design of ruminant monitoring of cows was carried out.Using MEMS low-power wearable MP23AB02 B gathering cow ruminant voice sound pressure sensor,ruminant label detected by LoRa low-power wireless wide area network send data to the base station,the base station sends the information to the host computer through the serial port,farm workers can view or monitoring through the PC.Finally,the system design the cow ruminant voice recognition algorithm,use MATLAB to analyze collected information,through the analysis of the fast Fourier transform frequency domain information,get in dairy cattle ruminant voice frequencybetween 600 Hz to 1.2 kHz,to distinguish rumination signals,facilitating further analysis of ruminant signals in the time domain;analysis ruminant signal through the short time average magnitude function of temporal information,the process of ruminant swallow,in turn,and the interval of swallow and turn on the three special phase of short time average magnitude of feature extraction,can identify ruminant process at a time.The three characteristics of continuous recognition ensure the accuracy of recognition.After the recognition of a ruminant,the time between two regurgitation intervals was identified in a certain threshold to determine the rumination time of the cow and determine the healthy state of the cow.