Video vehicle passing equipment performance evaluation method, device thereof and equipment

Abstract

The invention discloses a video vehicle-passing equipment performance evaluation method, a device thereof and equipment, and the method comprises the steps: obtaining a plurality of pieces of vehicle-passing data corresponding to a vehicle and uploaded by video vehicle-passing equipment, analyzing the plurality of pieces of vehicle-passing data, obtaining at least one performance index score of the video vehicle-passing equipment, and determining a performance score for evaluating the performance of the video vehicle passing equipment according to the at least one performance index score and the corresponding weight coefficient. Whether equipment needs to be replaced by new equipment is judged, the equipment efficiency is fully excavated, and the equipment investment cost is saved.

Description

technical field [0001] The invention relates to the field of big data analysis, in particular to a method, device and equipment for evaluating the performance of video passing equipment. Background technique [0002] With the continuous expansion of the scale of urban passing video equipment, the cost of equipment inspection operation and maintenance has been greatly increased. At the same time, due to the year-by-year increase in the number of urban motor vehicles, the number of equipment passing data has increased sharply. The big data platform stores and queries city passing data. However, currently passing data is only used for passing vehicle query, passing traffic statistics, and congestion analysis. There are still more data values ​​that can be tapped. In addition, the current equipment replacement is carried out in batches based on the traditional equipment ledger and service age. Due to technological progress and the improvement of equipment quality, the available ...

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Problems solved by technology

[0002] With the continuous expansion of the scale of urban passing video equipment, the cost of equipment inspection operation and maintenance has been greatly increased. At the same time, due to the year-by-year increase in the number of urban motor vehicles, the number of equipment passing data has increased sharply. The big data platform stores and queries city passing data. However, currently passing data is only used for passing vehicle query, passing traffic statistics, and congestion analysis. There are still more data values ​​that can be tapped

In addition, the current equipment replacement is carried out in batches based on the traditional equipment ledger and service age. Due to technological progress and the improvement of equipment quality, the available effective time of equipment has been greatly improved. The existing methods cannot accurately and fully realize the equipment performance. Resulting in huge equipment investment costs

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