Pavement use performance detection data quality control method, storage medium and electronic equipment

Abstract

The invention provides a pavement use performance detection data quality control method which comprises the following steps: firstly, arranging data which mainly comprises road section division, determination of the latest maintenance time and matching of historical performance detection data; And then, for the rut, flatness and anti-slip indexes, determining the longest incremental / decreasing subsequence of the detection data of each road section, carrying out quality evaluation on the data of the latest year, and counting the data qualification rate. According to the method, the historical development law of pavement performance detection data can be considered, abnormal data are screened on the premise that the original appearance of the data is reserved as much as possible, the data inthe pavement management system can be cleaned, the effects of quality evaluation and auditing can be achieved on new data, and the method has high application value. The method is ingenious in conception, rigorous in logic and convenient to popularize and apply in the field of transportation subjects.

Description

technical field [0001] The invention relates to a highway evaluation and management technology, in particular to a method for quality control of pavement serviceability testing data, which belongs to the technical field of traffic and transportation disciplines. Background technique [0002] Pavement performance testing data include rut depth, flatness, lateral force coefficient, pavement damage, deflection value, etc., which are the basis of the pavement management system. By analyzing these data, managers can understand the real-time road conditions, judge whether the current road conditions meet the traffic demand and driving quality requirements, formulate corresponding maintenance plans, and take corresponding maintenance measures. An efficient pavement management system needs the strong support of accurate, instant, consistent and complete pavement performance data. Data quality will directly affect whether the system can make correct and timely feedback on road condi...

AI Technical Summary

Problems solved by technology

[0003] However, when analyzing some expressway pavement performance data, it is found that there are some abnormal data. The abnormal numbers will lead to deviations in the evaluation and prediction of the pavement management personnel on the existing condition of the pavement, thus proposing inappropriate maintenance plans and failing to effectively treat the pavement. Diseases, but also a waste of maintenance funds

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