Research on Household Temperature Control Method for Central Heating Based on Improved Grey Fuzzy Control
With the continuous promotion and efforts of the national"dual carbon"policy,energy conservation and emission reduction issues are receiving increasing attention;As the most common winter heating mode at present,the municipal centralized hydronics in cities and towns consumes huge energy;It is of great significance to reduce heating energy consumption while ensuring user comfort;The study analyzed common household temperature control methods for centralized heating,fully explored the trend of changes in actual temperature and tempera-ture control panel setting temperature errors,improved the grey model prediction of historical error sequences,obtained prediction errors,and used both actual and prediction errors as inputs for fuzzy control.Fuzzy rules were established to enable the fuzzy controller to output adjust-ment parameters,jointly adjust PID control,and reduce errors,Make the original control strategy respond in advance,adjust the system to-wards balance,reduce process energy consumption,and achieve the goal of energy conservation and emission reduction;Through MATLAB simulation experiments,the results show that the method responds in a timely manner,achieves energy-saving under the premise of comfort,and contributes to the achievement of the"dual carbon"goal.
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