Draught fan current based air source heat pump defrosting remote monitoring system and control method
An air source heat pump, remote monitoring technology, applied in defrosting, lighting and heating equipment, household appliances, etc., can solve the problems of untimely defrosting, false defrosting, and low defrosting efficiency, and achieve the effect of reducing inefficiency
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Embodiment 1
[0026] Such as figure 1 As shown, the air source heat pump defrosting remote monitoring system based on fan current in this embodiment includes an air source heat pump circulation system 11, a fan 12 of an air source heat pump evaporator, an AC power supply 13, a data acquisition module 14, and a data conversion module 15. Data diagnosis module 16, defrosting control module 17, remote monitoring module 18, current measuring device 21, wireless signal transmitter 31, wireless signal receiver 32, control signal transmitter 33, control signal receiver 34.
[0027] The fan 12 of the air source heat pump evaporator is used to increase the wind speed around the evaporator in the air source heat pump circulation system 11 to realize forced convection, and the current measuring device 21 is connected between the fan 12 of the air source heat pump evaporator and the AC power supply 13 On the wire between, the data acquisition module 14, the data conversion module 15, and the data diagn...
Embodiment 2
[0037] Such as figure 2 As shown, this embodiment provides a remote monitoring method for air source heat pump defrosting based on fan current, which at least includes the following steps:
[0038] S1, collecting the current signal of the air source heat pump evaporator fan in real time;
[0039] S2. Perform data preprocessing on the current signal: obtain macroscopic features, and sequentially perform filtering, demodulation, decomposition and reconstruction operations on the current signal to obtain data information;
[0040] S3, using a feature extraction algorithm to perform time domain and frequency domain analysis on the data information, and extract feature data values;
[0041] S4, using machine learning methods to perform signal recognition on characteristic data values, classifying and diagnosing frosting conditions;
[0042] S5. Perform defrosting control according to the diagnosed frosting situation.
[0043] S6. Remotely monitor the current signal and make a r...
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