Statistical analysis method for cloud computing vehicle faults

A vehicle failure and statistical analysis technology, applied in the direction of registration/indication of vehicle operation, instruments, registration/indication, etc., can solve problems such as poor adaptability, small data surface, and increased use risks, so as to ensure driving and transportation safety and reduce Effect of Failure Rate and Loss, Data vs Facet Width

Inactive Publication Date: 2019-03-29
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing fault analysis methods mostly analyze and process after the fault occurs, which cannot achieve real-time performance and stability, and cannot guarantee vehicle safety, which greatly increases the risk of use, and the statistics and analysis of faults are relatively simple. It can only manage and analyze the faults that have occurred, the data surface is relatively small, it is impossible to establish an effective model, and the adaptability is poor

Method used

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  • Statistical analysis method for cloud computing vehicle faults
  • Statistical analysis method for cloud computing vehicle faults

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Effect test

Embodiment 1

[0032] A cloud computing vehicle fault statistical analysis method, the cloud computing vehicle fault statistical analysis method comprises the following steps:

[0033] S1. Collect vehicle driving parameters, transmit them to the cloud computing center, and establish a statistical model.

[0034] S2. Collect vehicle maintenance records, obtain parameters corresponding to fault types, and transmit them to the cloud computing center to establish a fault model.

[0035] S3. Collect real-time running data of the vehicle, transmit it to the cloud computing center, and establish dynamic data.

[0036] S4. The analysis module establishes a dynamic model through the dynamic data and transmits it to the comparison module.

[0037] S5. The comparison module receives the dynamic model, compares it with the statistical model and the fault model, analyzes the change data, and generates alarm information.

[0038] S6. The cloud computing center transmits the alarm information to the alar...

Embodiment 2

[0055] A cloud computing vehicle fault statistical analysis method, the cloud computing vehicle fault statistical analysis method comprises the following steps:

[0056] S1. Collect vehicle driving parameters, transmit them to the cloud computing center, and establish a statistical model.

[0057] S2. Collect vehicle maintenance records, obtain parameters corresponding to fault types, and transmit them to the cloud computing center to establish a fault model.

[0058] S3. Collect real-time running data of the vehicle, transmit it to the cloud computing center, and establish dynamic data.

[0059] S4. The analysis module establishes a dynamic model through the dynamic data and transmits it to the comparison module.

[0060] S5. The comparison module receives the dynamic model, compares it with the statistical model and the fault model, analyzes the change data, and generates alarm information.

[0061] S6. The cloud computing center transmits the alarm information to the alar...

Embodiment 3

[0077] A cloud computing vehicle fault statistical analysis method, the cloud computing vehicle fault statistical analysis method comprises the following steps:

[0078] S1. Collect vehicle driving parameters, transmit them to the cloud computing center, and establish a statistical model.

[0079] S2. Collect vehicle maintenance records, obtain parameters corresponding to fault types, and transmit them to the cloud computing center to establish a fault model.

[0080] S3. Collect real-time running data of the vehicle, transmit it to the cloud computing center, and establish dynamic data.

[0081] S4. The analysis module establishes a dynamic model through the dynamic data and transmits it to the comparison module.

[0082] S5. The comparison module receives the dynamic model, compares it with the statistical model and the fault model, analyzes the change data, and generates alarm information.

[0083] S6. The cloud computing center transmits the alarm information to the alar...

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Abstract

The invention discloses a statistical analysis method for cloud computing vehicle faults. The method comprises the following steps of: S1, collecting vehicle driving parameters and establishing a statistical model; S2, collecting vehicle maintenance records, obtaining parameters corresponding to fault types and establishing a fault model; S3, collecting real-time operation data of the vehicle andestablishing dynamic data; S4, establishing a dynamic model by an analysis module through the dynamic data, and transmitting the dynamic model to a comparison module; S5, receiving the dynamic model by the comparison module, comparing the dynamic model with the statistical model and fault model, and analyzing change data to generate alarm information; and S6, transmitting the alarm information toan alarm device by a cloud computing center. The statistical analysis method for cloud computing vehicle faults is capable of decreasing the fault rate and loss and ensuring the driving and transportation safety through collecting the normal driving data and fault data and carrying out analysis and processing by the cloud computing center, and is relatively wide in data comparison surface and highin adaptability.

Description

technical field [0001] The invention relates to the field of fault analysis technology, in particular to a cloud computing vehicle fault statistical analysis method. Background technique [0002] In today's social life, vehicles are widely used, especially in the transportation industry. Vehicles are in operation for a long time, which is likely to cause serious damage to vehicles. It is necessary to monitor and analyze vehicles in order to detect and eliminate faults in advance and ensure driving and transportation. Safety. [0003] However, the existing fault analysis methods mostly analyze and process after the fault occurs, which cannot achieve real-time performance and stability, and cannot guarantee vehicle safety, which greatly increases the risk of use, and the statistics and analysis of faults are relatively simple. It can only manage and analyze the faults that have occurred, the data surface is relatively small, it is impossible to establish an effective model, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07C5/08G07C5/00
CPCG07C5/008G07C5/0808
Inventor 邢立宁任腾王凌周盛超庞燕王忠伟魏占国何敏藩黄志炜王锐伍国华石建迈
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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