Design of Digital-Analog Control Algorithm for Flash Smelting Metallurgy

To improve the optimal access and transmission capacity of stored data in cloud storage environment, dynamic task load balancing scheduling is needed. A dynamic task load balancing scheduling method based on adaptive Potter spaced equilibrium control is proposed. The dynamic task transmission channel model under the cloud storage is constructed. The decision multimode blind equalization method is adopted to estimate the impulse response of the dynamic task transmission channel, and the adaptive path forwarding control method is combined. The multipath suppression of the dynamic task information transmission, the phase shift deviation is removed by the phase weighting method, the Doppler shift characteristic of dynamic task transmission under the cloud storage environment is calculated, and the dynamic task load balancing scheduling is implemented by the Potter spacer equilibrium method. The task load balancing scheduling has excellent adaptability and strong resistance to interference, which can reduce the bit error rate of dynamic task transmission.