Intelligent heating system based on big data analysis period and heating method
A technology of intelligent heating and big data, applied in the field of direct drink machines, can solve problems such as waste of electric energy, and achieve the effect of avoiding consumption, avoiding consumption and improving utilization rate.
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Embodiment 1
[0060] Such as figure 1 As shown, an intelligent heating system based on big data analysis period is applied in a direct drinking machine. The direct drinking machine includes a casing 1, a filtering system, a heat exchange system and a heating system 2 arranged in the casing 1, and the heating system 2 includes a controller 21, a drinking water conduit 22 and a heating box 23, the drinking water conduit 22 has a water inlet 221 and a water outlet 222, the housing 1 of the direct drinking machine is provided with a water outlet tap 3, and the tap water pipe outside the direct drinking machine is connected to Connect the heating system 2 to the filter system and the heat exchange system, the water inlet 221 of the drinking water conduit 22 is connected to the output end of the heat exchange system, the water outlet 222 of the drinking water conduit 22 has a first port and a second port, the first port Connect to the outlet tap 3, and connect the second port to the heat exchange...
Embodiment 2
[0079] The difference from Example 1 is that the combination image 3 and Figure 4 As shown, the controller 21 also includes an automatic configuration module.
[0080] Wherein, the division module is used to obtain the time axis formed by the start time node and the close time node according to the start time node and the close time node, and divide the time axis into several time segments;
[0081]The automatic configuration module includes a detection module, a learning module and an association module. The detection module is used to obtain the number of times that the heating device 26 starts in the current time period. When the number of times the heating device 26 starts is greater than the first preset number of times, the current time period is configured as the pre-peak time period; when the number of times the heating device 26 starts When it is less than the first preset number of times and greater than the second preset number of times, the current time period ...
Embodiment 3
[0086] A heating method based on the aforementioned intelligent heating system based on big data analysis period, such as Figure 5 shown, including the following steps:
[0087] S100, input the starting time node and closing time node of each cycle of the heating device 26;
[0088] S200, obtain the time axis formed by the start time node and the close time node according to the start time node and the close time node, and divide the time axis into several time periods;
[0089] S300, configure each time period as a peak time period, a flat peak time period and a low peak time period;
[0090] S400, acquiring the temperature detection value output by the temperature detection device 25;
[0091] S500, based on the current time period, judge whether the temperature detection value is less than the peak temperature preset value or the flat peak time period or the low peak time period, and if so, control the heating device 26 to start to heat the heat conducting agent 24 to th...
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