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For the problem of the low measured precision of the parameters in the process of the wood drying,this paper design a detecting system of wood dry kilns’parameters.The system will capture the parameters of wood dry kilns real time,regulate and process the data with ARM microprocessor,and then send the data to the PC with the WiFi.To improve the control algorithm of system,this paper introduces the deep learning method, and put forward a control algorithm of DBN-PID.In the same hardware platform,compared with the algorithm of BP-PID. The experimental results show that the detecting system of wood dry kilns with DBN- PID has the more higher precision.For further clarification about the performance of DBN-PID,compared with the algorithm of BP-PID in the simulation.The results of simulation show that DBN-PID can approach the nonlinear object more better,and has the more stronger adaptive ability.