Intelligent energy gateway operation system with open interface
A smart energy and operating system technology, applied in the field of electric energy meters, can solve the problems of no interface, long power outages in households, low processing efficiency, etc., and achieve the effects of avoiding electricity bills, facilitating electricity management, and ensuring safety
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Embodiment 1
[0043] refer to Figure 1 to Figure 16 , which is the first embodiment of the present invention, this embodiment provides a smart energy gateway operating system with an open interface, including a leakage monitoring module 100, a metering module 200, a temperature sensor 300, a load identification module 400, and a management module 500, A load switch control module 600 and a power supply server 700 .
[0044] Specifically, the leakage monitoring module 100 is used to monitor the leakage situation of the power consumption side; in this embodiment, such as figure 1 As shown, the leakage monitoring module 100 includes a current transformer and a current detection sampling circuit. The current transformer is arranged in the power transmission line on the power consumption side. The current detection sampling circuit provides grid fault current information; the current detection sampling circuit such as figure 2 As shown, it is connected with the current transformer and the ma...
Embodiment 2
[0053] refer to Figure 17 , which is the second embodiment of the present invention. This embodiment is different from the first embodiment in that it provides a load identification method, including:
[0054] S1: Collect power load data.
[0055] Use the MR8847 type recorder to collect field data on the spot, the sampling frequency is set to 50kHz, each collection time is set to 5min, each load point is collected 10 times, the voltage and current are collected synchronously, the fundamental frequency is 50Hz (period is 0.02s), At this time, 1,000 points are sampled in one cycle, 15,000 cycles are sampled in 5 minutes, and a total of 150,000 cycles are sampled in 50 minutes for each load point.
[0056] The sampled load types include: air conditioners, electric water heaters, electric kettles, microwave ovens, induction cookers, TVs, and washing machines.
[0057] Further, the same kind of load data collected is divided into training set and test set, and the division ratio...
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