A method for repairing data of an industrial energy consumption monitoring platform

Abstract

The invention relates to an industrial energy consumption monitoring platform data repair method. The method includes: 1, acquiring appointed instrument parameter collection data in set consecutive days, and replenishing invalid data on time points lack of collection time; 2, sorting valid data in the step 1 according to collection values; 3, sequentially calculating a change rate of sorted data and adjacent data, and arranging the data into different queues according to different set change rate thresholds; 4, sorting the queue with most data obtained in the step 3 according to a collection time sequence, and setting data in other queues as invalid data; 5, setting data not in accordance with a condition that energy consumption is increased along with time as invalid data; 6, mending consecutive invalid data in the whole data queue after processing at a constant increase speed according to adjacent valid data. Compared with the prior art, the method has advantages that data diagnosisand mending in medium and long time periods are realized, and labor saving and time saving are realized.

Description

technical field [0001] The invention relates to a data repair method, in particular to a data repair method of an industrial energy consumption monitoring platform. Background technique [0002] The production energy usage of an enterprise is directly related to the cost calculation of the products produced by the enterprise. For example, an automobile manufacturer can only calculate the average energy consumption of each vehicle relatively accurately and combine it with other costs. The average cost of each product, so as to formulate a relatively reasonable commodity pricing strategy. In order to ensure the accuracy of energy consumption data, we originally adopted real-time repair technology based on the abnormality of adjacent energy data. However, in the industrial environment, due to the relatively complex on-site environment and large interference, data anomalies often occur frequently. During the follow-up observation of the project, we often find that the readings ...

AI Technical Summary

Problems solved by technology

In order to ensure the accuracy of energy consumption data, we originally adopted real-time repair technology based on the abnormality of adjacent energy data. However, in the industrial environment, due to the relatively complex on-site environment and large interference, data anomalies often occur frequently. During the follow-up observation of the project, we often find that the readings of the meters may even appear abnormal for a period of time. The traditional short-term adjacent data repair technology has been unable to meet the needs of automatic correction of abnormal energy data in this harsh environment. caused considerable distress to the owners

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