Missing data complementation method and data collection device
A data collection and completion technology, applied in the field of missing data completion, can solve the problems of not being suitable for energy-saving purposes, not being able to complete energy usage with high precision, and not being suitable for high-precision values, etc.
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Embodiment approach 1
[0031] In Embodiment 1 of the present invention, the data collection device collects the data of energy usage from all measurement positions of the data collection object, and saves the collected data in the built-in storage device. Based on the data saved in advance, the measured position similar to the pattern obtained by extracting the measurement position with similar energy usage over time, the energy usage amount during the missing measurement period of the missing position is supplemented, and the data used for the completion Only the similar pattern measurement position and the energy usage of the similar pattern measurement position for a period corresponding to the lack of measurement do not need to search for similar patterns from a large amount of previously stored data like in the prior art, and can use a low-cost low-cost During the missing period, the CPU can perform high-precision complementation even for a strange energy usage pattern that does not exist in the...
Embodiment approach 2
[0075] In Embodiment 2 of the present invention, the method for supplementing the missing data is to supplement the missing data at the measurement positions in the data collection system that uses the data collection device to collect the energy usage measured at a plurality of measurement positions respectively. The complete missing measurement data complement method, when the missing measurement occurs, the variation pattern of the energy usage is similar to the variation pattern of the energy usage of the measurement location where the missing measurement occurs, and the missing measurement period Calculate the energy usage increase / decrease value or the energy usage amount increase / decrease value ratio for each measurement time interval during the corresponding period, and use the calculated energy usage amount increase / decrease value or energy usage amount increase / decrease value ratio to calculate the The energy usage at each measurement time interval during the missing ...
Embodiment approach 3
[0086] On the basis of the missing data complementing method in Embodiment 1, the missing data complementing method in Embodiment 3 of the present invention is to set priority levels for the plurality of measurement positions, and the occurrence occurs at a measurement position with a higher priority level. In the case of a missing measurement, a period corresponding to the missing measurement period at a measurement location where the fluctuation pattern of the energy usage amount of the next priority level is similar to the variation pattern of the energy usage amount of the measurement location where the missing measurement occurred Calculate the energy usage ratio of each measurement time interval, and use the calculated energy usage ratio to calculate the energy usage amount of each measurement time interval during the missing measurement period, and complete the missing measurement data, The data collection device sets priority levels for the plurality of measurement loca...
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