Quantitative analysis method and system for comprehensive performance of shared vehicle, medium and computer equipment

Abstract

According to the quantitative analysis method and system for the comprehensive performance of the shared vehicle, the medium and the computer equipment, the comprehensive performance score data of all generations of products are obtained through calculation by constructing the neural network model, determining the weight between the input unit and the output unit, and effective connection is established between originally scattered and complicated indexes and the comprehensive performance score data; a quantitative and scientific scoring system is established for shared moped product performance which is not easy to quantify, a BP neural network with strong generalization ability, self-learning ability and self-adaptive ability is applied to actual shared moped operation, and technical support is provided for formulating a system for evaluating the advantages and disadvantages of a research and development vehicle. The updated and iterated vehicle can be compared with the previous vehicles, whether the updated and iterated point is effective or not is confirmed, and new products to be researched and developed are improved and reserved in a targeted mode.

Description

technical field [0001] The invention relates to the technical field of vehicle data analysis, in particular to a quantitative analysis method, system, medium and computer equipment for the comprehensive performance of a shared vehicle. Background technique [0002] At present, in the field of shared bicycles, vehicle product iteration is mostly completed by improving the deficiencies of previous products. After the product is put into production, its operation is monitored, data tracked, and its switch lock success rate, switch lock time, hardware Whether the related indicators such as damage have been improved, but the data tracking is relatively simple, ignoring the interaction between these indicators, such as optimizing the shape of the frame to make it more fashionable, but ignoring the chainring design, the chain exposure is incorrect The chain is prone to bumping and breaking, although the improvement of the product appearance brings the customer's preference, but it ...

AI Technical Summary

Problems solved by technology

[0002] At present, in the field of shared bicycles, most of the vehicle product iterations are completed by improving the shortcomings of previous products. After the product is produced and launched, its operation is monitored, data tracking, and the success rate of opening and closing locks, the length of opening and closing locks, and hardware are observed. Whether the relevant indicators such as damage have improved, but the data tracking is relatively simple, ignoring the mutual influence between these indicators, such as optimizing the shape of the frame to make it look more fashionable, but ignoring the design of the chainring and the exposure of the chain is not correct The chain is easily bumped and broken, and the improvement of the appearance of the product has brought customers the first choice, but it has caused an increase in the maintenance cost of the chain.

Images