Heating appliance control system based on reinforcement learning
A technology for enhancing learning and heating appliances, which is applied in temperature control using digital devices, neural learning methods, and temperature control using electric methods. It can solve problems such as large deviation of target temperature and resistance error, and achieve reliable temperature control. Effect
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[0024] In order to solve the problem that the control system of the heating appliance for heating cigarettes is easily affected by the resistance error of the heating element heating wire, resulting in a large deviation of the target temperature, the embodiment provides a heating appliance control system based on reinforcement learning, such as figure 1 As shown, including voltage module, current module, state generation module and reinforcement learning module, among them:
[0025] The voltage module is used to collect and output the voltage value of the heating element heating wire in real time.
[0026] The current module is used to collect and output the current value of the heating element heating wire in real time.
[0027] The state set generation module is used to extract the resistance feature through the convolutional neural network (CNN) through the voltage value and the current value to generate the state set. The CNN network can be implemented on FPGA or arm chip...
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