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Electric automobile safety early warning method and system based on artificial intelligence and electric automobile

A technology for electric vehicles and safety early warning, which is applied to safety devices of power plant control mechanisms, motor vehicles, and neural learning methods, etc., can solve problems such as low accuracy, increased research and development, installation and maintenance costs of testing equipment, and needs further research.

Inactive Publication Date: 2020-10-27
王亚鹏
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the above-mentioned literature can only give an early warning based on the tire pressure of the vehicle whether the vehicle is overloaded, and whether the vehicle is overloaded is affected by a variety of factors in actual situations. This single method of early warning of vehicle overload based on tire pressure has low accuracy. question
In addition, the above documents need to set up overload monitoring equipment such as tire pressure monitoring for each car to be warned, and in order to accurately monitor the overload of the vehicle, it is often necessary to set up various types of testing equipment, which greatly increases the development and installation of testing equipment. and maintenance costs, how to improve the accuracy of overload monitoring under the condition of low cost of detection equipment still needs further research; finally, with the gradual popularization of electric vehicles and the gradual improvement of the intelligence of electric vehicles, how to make full use of the intelligent system of electric vehicles Early warning of vehicle overloading is also a topic to be further studied

Method used

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  • Electric automobile safety early warning method and system based on artificial intelligence and electric automobile
  • Electric automobile safety early warning method and system based on artificial intelligence and electric automobile
  • Electric automobile safety early warning method and system based on artificial intelligence and electric automobile

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Experimental program
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Embodiment 1

[0072] Such as figure 1 As shown, the present invention provides a kind of electric vehicle safety warning method based on artificial intelligence, and described method comprises the steps:

[0073]S1. Obtain vehicle models, license plate numbers, historical maintenance data, maintenance safety warning information, historical driving data, and driving safety warning information of multiple sampling time periods of multiple electric vehicles; it should be noted that multiple electric vehicles The cars can be electric cars of the same model or different models, and there is no limitation here; the model refers to a certain series of electric cars of the same brand, not different versions of the same series, because The safety performance of the electric vehicle in the present invention is basically the same in a certain series of electric vehicles of the same brand, the difference is only the difference between the auxiliary interior decoration such as appearance, seat material,...

Embodiment approach

[0122] As a preferred embodiment, it also includes:

[0123] If the current overload safety warning result of the electric vehicle to be forewarned is overload, then obtain the driving trajectory of the electric vehicle, if there are multiple electric vehicles with the same driving trajectory in the same time period, then according to the multiple electric vehicles The car plate number obtains the car models of the multiple electric vehicles, and sends the car plate number and the overload warning warning information of the electric car with the same model as the electric car to be warned to the safety early warning server; For corporate operation, therefore, the overloading of vehicles often has the consistency of vehicle models, driving time, and driving trajectories. Therefore, in order to reduce the number of sensor detection equipment installed on different vehicles, or to avoid the sensor of individual vehicles The problem of being unable to accurately detect whether the...

Embodiment 2

[0132] Such as figure 2 As shown, the present invention provides the present invention provides a kind of electric vehicle safety early warning system based on artificial intelligence, and described system comprises following module:

[0133] The sampling module is used to obtain vehicle models, vehicle license plates, historical maintenance data, maintenance safety warning information, historical driving data, and driving safety warning information of multiple sampling time periods of multiple electric vehicles; it should be noted that multiple The electric vehicles may be of the same model or of different models, and there is no limitation here; the models refer to a certain series of electric vehicles of the same brand, not different versions of the same series, This is because the safety performance of the electric vehicle in the present invention is basically the same in a certain series of electric vehicles of the same brand, the difference is only the difference betwee...

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Abstract

The invention provides an electric automobile safety early warning method and system based on artificial intelligence. The method comprises the following steps: acquiring various different types of data related to safe driving of an automobile, including historical driving data and historical maintenance data; and adopting different artificial intelligence models for training, acquiring corresponding automobile safety early warning results, and fitting the two automobile safety early warning results to obtain a final overload safety early warning result so that automobile safety early warningefficiency and accuracy are greatly improved. Besides, overload safety early warning results of other automobiles of the same model are predicted by detecting driving track data of an overloaded automobile so that an overload detection device does not need to be installed for each automobile for overload detection, and research, development, installation and maintenance cost of detection equipmentis greatly reduced; and finally, various automobile body sensors of the electric automobile are fully utilized to acquire automobile data for automobile safety early warning.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence and electric vehicles, in particular to an artificial intelligence-based electric vehicle safety warning method and system, and electric vehicles. Background technique [0002] Although government departments at all levels have paid more and more attention to traffic safety in recent years, and the investigation and punishment of behaviors that hinder traffic safety (such as overloading) have become more and more intensive, the situation of overloading vehicles is still common. The main reasons are as follows: 1. Sometimes the driver miscalculates the weight of the car, and some overloading behaviors are not even known to the driver himself. 2. The driver knows that the weight of the car is overloaded, but deliberately does it for economic benefit. Regardless of the reasons, overloading behavior will bring harm to social traffic safety. [0003] New energy vehicles refe...

Claims

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Application Information

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IPC IPC(8): B60K28/08B60Q9/00G06K9/00G06K9/32G06K9/62G06N3/04G06N3/08G06N20/00
CPCB60K28/08B60Q9/00G06N3/08G06N20/00G06V20/54G06V20/63G06V2201/08G06V20/625G06N3/045G06F18/22G06F18/24155
Inventor 王亚鹏
Owner 王亚鹏