Research On Multi-chamber Fusion Of Soil Respiratory Monitor Based On Federated Kalman Filter Algorithm

Soil respiration is a key part of the carbon cycle of terrestrial ecosystems,It has a very important impact on the study of global change.At present,the most widely used for measuring soil carbon flux is LI-8100,but the method of measurement is applied in closed space,Moreover,it is expensive and only used in a single measurement,which has great limitations in measuring soil respiration with large spatial heterogeneity.Therefore,this paper proposes a multi-chamber open measurement method based on the Federated Kalman algorithm.First,pre-treat the carbon flux value of each chamber,then divide value detection by bitmap method,excluded 11% of interference value,Finally,it is sent to the fusion center to get more accurate soil carbon flux values.The results show:(1)In a single chamber,the chamber size has a large effect on the measurement of carbon flux,increasing the uncertainty of the measurement.The multi-chamber increases the amount of effective information and improves the stability of the soil monitor measurement.(2)Before the data fusion,the measured value is detected by the quantile map method.It can reduce the influence of individual divergence values on fusion and improve the accuracy of subsequent fusion.(3)In soil respiration estimation,the reset Federated Kalman filter structure combine the measurements of multiple chambers,reducd the impact of individual chamber measurements on the overall system and improved the reliability of soil respiration estimates.Therefore,using the method proposed in this paper can improve the accuracy of monitoring soil respiration,and can save a lot of cost,a new method for monitoring soil respiration is of great significance for studying soil respiration.