Shared bicycle fault identification and application system based on information fusion

Abstract

The invention discloses a shared bicycle fault identification and application system based on information fusion, which mainly comprises an information collection platform, a discrimination center system and an application platform. The information collection platform includes a GIS cloud service system, a bicycle information service system, and a database system and is used for comprehensively processing the bicycle time and space information, user usage information, feedback information, and historical maintenance information collected in real time in the database system. The discriminationcenter system intelligently recognizes zombie bicycles and trouble bicycles by receiving information transmitted by the information collection platform. The application platform realizes the distinguishing display between the faulty bicycle and the normal bicycle, and timely notifies all kinds of users to realize convenience in vehicle searching, the timely maintenance of the enterprise and the effective management of the government department. The invention can effectively and comprehensively reuse the real-time travel and historical fault data of the bicycle, realize multi-directional and comprehensive automatic identification and timely dispatching of the faulty vehicle, and improve the user's success rate of finding a vehicle, resource utilization rate of the bicycle and service quality.

Description

technical field [0001] The invention relates to an automatic fault identification and application system, in particular to a shared bicycle fault identification and application system based on information fusion, which belongs to the technical field of the Internet of Things. Background technique [0002] With the rapid development of "Internet +" and mobile payment, shared bicycles, as a new type of transportation, have effectively alleviated the "last mile" travel problem of urban traffic and improved the convenience of residents' travel. But at present, due to the new rise of shared bicycles, there is commercial competition among various operating companies, which makes shared bicycles unordered, resulting in low vehicle operation efficiency; There are many zombie vehicles and faulty vehicles; if zombie vehicles and faulty vehicles cannot be dispatched and repaired in time, it is easy to cause the following problems: [0003] 1. Obstruction of urban public transportation...

AI Technical Summary

Problems solved by technology

But at present, due to the new rise of shared bicycles, there is commercial competition among various operating companies, which makes shared bicycles unordered, resulting in low vehicle operation efficiency; There are many zombie vehicles and faulty vehicles; if zombie vehicles and faulty vehicles cannot be dispatched and repaired in time, it is easy to cause the following problems:

[0003] 1. Obstructing urban public transportation: The phenomenon of disorderly parking of shared bicycles is serious, causing traffic congestion, increasing the workload of traffic management, and bringing a lot of inconvenience to the normal operation of urban traffic

[0004] 2. Affect the operation efficiency of shared bicycles: Zombie vehicles have been stagnant for too long, which can easily lead to uneven distribution of shared bicycles, resulting in the accumulation of shared bicycles in some areas, while some areas have no vehicles available, which greatly reduces operational efficiency

[0005] 3. It is easy to cause traffic safety: if the faulty vehicle cannot be repaired in time, it will not only occupy the resources of the urban space, but also waste the user's time and the success rate of finding a car. If the user is forced to use it, it will easily cause traffic accidents

[0006] At present, there is insufficient experience in the operation and management of shared bicycles, and a large amount of cost is often spent on fault identification technology. Although there are related fault identification systems for shared bicycles in the existing technology, these solutions can only identify faulty vehicles reported by some users, and the accuracy rate is low. Low, currently there is no information system to fully and automatically identify faulty single vehicles

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