畜禽粪污好氧发酵多参数监测系统设计与试验OA

The aerobic fermentation system for livestock and poultry manure had some problem,such as single-parameter and lack of analysis on the effectiveness of tank strength and monitoring data.This research designed a multi-parameter monitoring system for the aerobic fermentation of livestock manure and carried out testing and experimental work.The system was based on multi-point distribut-ed gas-temperature sensors to collect real-time data of C02,O2and temperature of different heap layers during the fermentation pro-cess.DWIN DGUS development platform was used to build a local operating system to achieve the display and storage of monitoring information.And ANSYS software was used to analyse the structural strength of the fermenter body and stirring mechanism.The test re-sults showed that during the simulation and analysis of mechanical structure strength,the maximum equivalent force of fermenter body and stirring mechanism were 0.837 MPa and 0.276 MPa respectively,and the maximum deformation were(1.61 ×10-3)mm and(4.44× 10-4)mm,respectively,and the strength met the design requirements.During the test,the temperature changed of different stacks in the fermenter were consistent,in which the average values of the temperatures collected by the temperature sensors A～E in the tank were 28.60℃,28.64℃,27.82℃,28.73℃,and 28.21℃,respectively,which were significantly higher than that of the average value of 25.51℃ of the temperature sensor F outside the tank(P＜0.05),and the maximal difference of the concentration CO2 and 02 in the tank were 21 ppm and 0.5％.During the formal test,the aerobic fermentation process of manure experienced a complete warming,high temperature and cooling phase,and the fermentation high temperature period lasted for more than 5 days,and the CO2 concentration in the tank showed an opposite increasing and decreasing trend change with the 02 concentration.Utilizing the hampel filter identification method,regression models were separately established for the relationship between fermentation temperature in the middle and lower layers of the fermenter and fermentation time.The fitting results revealed R2 values of 0.85 and 0.79,respectively.The results indicated that the data collected by all sensors in the system were stable,and the fermentation process conforms to the changing laws of aerobic fermen-tation.There was a good correlation between the fermentation temperature and fermentation time,thus meeting the demand for online monitoring of parameters during large-scale aerobic fermentation processes.