Vehicle part service life prediction method and system based on user fault reporting data

A technology of life prediction and parts, applied in the field of Internet of Things, it can solve the problems of vehicles that cannot be found in time, affect the user experience, increase the workload of operation and maintenance personnel, etc., so as to reduce the workload and improve work efficiency.

Pending Publication Date: 2020-05-22
SHANGHAI JUNZHENG NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This processing method is inefficient, and it is impossible to deal with vehicles that have failed in time, and it is also unable to detect vehicles that are about to fail in time.
If the faulty vehicle is not recovered or disposed of in time, it will greatly affect the user experience when it is put into use together with the normal vehicle.
[0003] In addition, when users report vehicle failures, there are often false reports, which will greatly increase the workload of operation and maintenance personnel and reduce the actual work efficiency of operation and maintenance personnel

Method used

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  • Vehicle part service life prediction method and system based on user fault reporting data
  • Vehicle part service life prediction method and system based on user fault reporting data
  • Vehicle part service life prediction method and system based on user fault reporting data

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Embodiment 1

[0049] Such as figure 1 As shown, the present embodiment provides a method for predicting the life of a vehicle component based on user report failure data, which includes the following steps:

[0050] S10. Establishing a life expectancy model:

[0051] The purpose of establishing a life estimation model is to estimate the service life of each part of the vehicle, so as to determine whether the vehicle contains parts whose estimated life reaches the life threshold, so as to facilitate the notification of operation and maintenance personnel to deal with them in a timely manner and improve operation and maintenance. Improve the work efficiency of maintenance personnel, and avoid the mixed use of faulty vehicles and affect the user experience.

[0052] The life prediction model is formed through training based on existing fault reporting pictures and vehicle-related information. In this example, if figure 2 , image 3 As shown, the establishment method of the life prediction...

Embodiment 2

[0091] This embodiment provides a system for predicting the life of vehicle parts and components based on user reported failure data, such as Figure 8 ,Such as Figure 9 As shown, the system includes a server, a vehicle information acquisition module, a life expectancy model, a failure report picture acquisition module, a vehicle fault detection model, and a vehicle life information acquisition module.

[0092] The vehicle information of all vehicles is recorded in the server, which includes the vehicle information of all vehicles in operation and not in operation.

[0093] The vehicle information refers to the information related to the vehicle, including but not limited to the historical fault location of the vehicle, the fault location of the historical fault location, the current fault location, the current fault location of the fault location, the date information of the vehicle being put into operation, and the date of the historical fault report One or more of informa...

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Abstract

The invention discloses a vehicle part service life prediction method and system based on user fault reporting data. The method comprises the steps of establishing a service life prediction model; extracting vehicle information of a to-be-assessed vehicle in operation from a server; predicting the service life of each part of the current to-be-assessed vehicle by the service life estimation modelaccording to the extracted vehicle information to obtain the predicted service life of each part, then comparing the predicted service life a preset part service life threshold value, and judging whether the current to-be-assessed contains a part with the predicted service life reaching the service life threshold value or not; and if so, outputting first result information to the server. Accordingto the invention, the service life of the parts of the vehicle registered in the server can be predicted on line, so that forecasting can be carried out before a fault of vehicle parts formally occur, the related operation and maintenance personnel are notified to carry out processing, the workload of the operation and maintenance personnel can be reduced, the working efficiency of the operationand maintenance personnel is improved, and the situation that the experience feeling of a user is affected due to mixed use of faulted vehicles is avoided.

Description

【Technical field】 [0001] The invention relates to the field of the Internet of Things, in particular to a method and system for predicting the life of vehicle components based on user fault reporting data. 【Background technique】 [0002] With the rise of shared bicycles, shared mopeds, and shared electric vehicles, people's travel has become more convenient. However, with the increase in the use of shared vehicles and the passage of time, the parts of the vehicles will gradually age and be damaged, affecting the user experience or even being scrapped. For vehicles that have malfunctioned, at present, they can only be dealt with by users actively reporting them during use, and then notifying the operation and maintenance personnel for on-site confirmation or by the operation and maintenance personnel sweeping the streets. This processing method is inefficient, and it is impossible to deal with the vehicles that have broken down in time, and it is also impossible to find the ...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06Q10/04G06Q10/00G06K9/62G06N20/00G06F119/04
CPCG06Q10/04G06Q10/20G06N20/00G06F18/214Y02P90/30
Inventor 杨磊李皓白
Owner SHANGHAI JUNZHENG NETWORK TECH CO LTD
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