Calorimeter performance degradation evaluation method, storage medium and equipment

Abstract

The invention discloses a calorimeter performance degradation evaluation method, a storage medium and equipment; and the method comprises the steps: carrying out the abnormal point removal and trend term removal preprocessing of the monitoring data of a calorimeter, constructing a calorimeter performance degradation feature set, and selecting an optimal feature through employing multiple evaluation indexes; obtaining a normal state reference by using an improved DBSCAN algorithm, and constructing a performance degradation index fused with Mahalanobis distance and cosine similarity; secondly, providing an adaptive degradation stage division method based on the pauta criterion, completing threshold determination of four degradation stages in combination with a calorimeter performance degradation curve, and determining the stage by calculating degradation characteristic state points of the calorimeter to be detected and performance degradation index values of all the references; and providing an evaluation standard based on judgment accuracy to realize accurate evaluation of the performance degradation of the heat meter. The method can improve the operation efficiency and result accuracy of a calorimeter degradation evaluation algorithm to a certain extent, and achieve the performance degradation stage mode recognition of the calorimeter.

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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