A method for complementing frozen data of an electric energy meter in a missing day
A technology of electric energy data and electric energy meter, which is applied to the electric energy meter whose data is frozen for a certain number of days to complete the missing data. For the field of missing data on a certain day and electric energy meter, it can solve the problem of missing frozen data on the electric energy meter. , to achieve the effect of improving the line loss index of the same period, high precision, and improving accuracy
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specific Embodiment 1
[0071] When using the mining system to check the abnormal status of the electric energy meter, it was found that a certain electric energy meter was faulty, and the data could not be frozen the day before the measurement, resulting in the inability to query the user's daily electricity consumption. The on-site inspection found that the electric energy meter was installed in the corridor. The iron gate was locked, and the staff of the power supply company could not replace the electric energy meter in time. After a day's delay in the replacement, it was found that the data of the old meter was frozen the day before due to a failure. By using the method for complementing the frozen data on missing days of the electric energy meter of the present invention, the missing data can be complemented, and the user's daily power consumption information can be restored accurately and efficiently.
specific Embodiment 2
[0073] An electric energy meter with an accuracy level of 1.0 and a comprehensive multiplier of 1 has lost the daily frozen bottom code data of the electric energy meter on February 3, 2021 due to a chip failure, as shown in Table 1.
[0074] date …… January 31 February 1 February 2 February 3 February 4 Daily frozen bottom code …… 13344 13380 13406 missing 13455
[0075] The missing data can be completed by the method for completing the frozen data of the missing day of the electric energy meter proposed by the present invention, and the specific steps are as follows:
[0076] 1) Obtain user information, energy meter information, daily frozen data of historical dates and characteristic factors related to electricity consumption, as shown in Table 2:
[0077] Table 2 Characteristic map representation of related information of electric energy meter
[0078]
[0079] 2) Concatenate the factors in Table 2 into a vector to form a time series ...
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