Time statistical method of embedded equipment and embedded equipment thereof

Abstract

The invention relates to a time statistical method of embedded equipment, and the method comprises the following steps: Step 1, establishing a time matrix A of one day; Step 2, partitioning the time matrix A of one day; Step 3, establishing a minute statistical matrix F; Step 4, partitioning the minute statistical matrix F; Step 5, calculating to obtain an hour matrix H through A<2,2> in the partitioned time matrix A of one day and F<2,1> in the minute statistical matrix F; Step 6, establishing an hour statistical matrix T; Step 7, partitioning the hour statistical matrix T; and Step 8, calculating to obtain a time matrix C through the hour matrix H and T<1,2> in the partitioned hour statistic matrix T. The invention also discloses embedded equipment. The time statistical method is simplein calculation process and small in calculation amount.

Description

technical field [0001] The invention relates to the field of statistics, in particular to a time statistics method for an embedded device and the embedded device thereof. Background technique [0002] Energy meters often need to have monthly or daily statistical functions, including voltage qualification rate and qualified cumulative time, voltage upper limit rate and corresponding cumulative time, voltage lower limit rate and corresponding cumulative time, highest voltage value and occurrence time, minimum voltage value And appearance time, average voltage value, total running time, total power failure time, etc. At least the monthly record data of the previous month and the current month can be stored, and the daily record data of the previous month and the current day can be stored. [0003] The existing technology is realized through the concept of accumulation, using a variable, starting from zero crossing, accumulating 1 every minute; not accumulating during the middl...

AI Technical Summary

Problems solved by technology

[0003] The existing technology is realized through the concept of accumulation, using a variable, starting from zero crossing, accumulating 1 every minute; not accumulating during the middle power-off period, and continuing to accumulate after power-on; Skip the time synchronization time and continue to accumulate; in the case of forward time synchronization, the time synchronization time in the middle is repeatedly accumulated, so there will be more accumulation or less accumulation. In the case of forward time synchronization, the statistical minutes of a day exceed 1440 Minutes, the statistical data results are not true; and the minutes cannot be counted in segments or intervals, but can only be counted according to the whole day, or the minutes of the current day or the month so far, and which minutes are accumulated are not visible

When counting the minutes in a set time period, it is necessary to count the minutes in a certain hour first, and then count the set minutes in a day, or even count the minutes in a set time period of a year. The amount of data is larger, so the time statistical method in the prior art has a large amount of calculation, and the statistical process is complicated

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