A heat meter performance degradation evaluation method, storage medium and equipment

Abstract

The invention discloses a heat meter performance degradation evaluation method, storage medium and equipment. Firstly, abnormal point elimination and detrending item preprocessing are performed on the monitoring data of the heat meter, a heat meter performance degradation feature set is constructed, and multiple evaluation indicators are used to evaluate the most Then, the improved DBSCAN algorithm is used to obtain the normal state benchmark, and the performance degradation index of the fusion of Mahalanobis distance and cosine similarity is constructed; then, an adaptive degradation stage division method based on the Raida criterion is proposed, combined with the heat meter The performance degradation curve has completed the determination of the thresholds of the four degradation stages, and judged the stage by calculating the degradation characteristic state points of the heat meter to be measured and the performance degradation index values ​​of each benchmark, and proposed an evaluation standard based on the judgment accuracy, and realized the heat meter Accurate assessment of performance degradation. The invention can improve the operating efficiency and result accuracy of the heat meter degradation evaluation algorithm to a certain extent, and realize the pattern recognition of the performance degradation stage of the heat meter.

Description

technical field [0001] The invention belongs to the technical field of heat meter safety, and in particular relates to a heat meter performance degradation evaluation method, storage medium and equipment based on degradation stage pattern recognition. Background technique [0002] At present, in the research on the performance degradation of heat meters, the performance degradation of heat meters cannot be judged only by the results of the durability test of heat meters. Whether the heat meters are degraded and the degree of degradation is unknown. . The heat meter will go through different degradation stages from the normal state to the failure state. Analyzing and evaluating its operating state through the monitoring data of the heat meter is of great significance to ensure the safe and effective operation of the heat meter, and it is also conducive to ensuring the stability and accuracy of the heat meter. Accurately record the user's heat usage and reduce the occurrence ...

AI Technical Summary

Problems solved by technology

However, whether the current method is based on a single characteristic variable, a linear fusion of features, or a performance degradation index based on a state shift, it only considers the change of a single value. The performance degradation index cannot accurately describe its performance degradation state, and the existing method sets the degradation and failure threshold of the heat meter as a fixed value, which does not take into account the individual differences of the heat meter, resulting in poor generalization ability of the method

In addition, the evaluation standard of the existing method for performance degradation evaluation is to use the calculation results of the traditional method as a reference standard, and use the proposed method for comparison to obtain the effectiveness of the results. However, in the absence of the actual degradation curve as a benchmark, using the traditional method Results as a benchmark, lack of proof of actual degradation curve benchmarks, leading to insufficient rigor of results

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