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Preferential refueling information intelligent recommendation method based on big data analysis

A technology of refueling information and recommendation method, which is applied in the field of intelligent recommendation of preferential refueling information based on big data analysis, can solve the problem of inaccurate push of preferential information at gas stations, and achieve the effect of improving accuracy and pertinence

Pending Publication Date: 2020-04-24
广州探途网络技术有限公司
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Problems solved by technology

[0003] The present invention provides an intelligent recommendation method for preferential refueling information based on big data analysis in order to overcome the defect of inaccurate push of gas station preferential information described in the prior art

Method used

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  • Preferential refueling information intelligent recommendation method based on big data analysis

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Embodiment 1

[0026] Such as figure 1 As shown, an intelligent recommendation method for preferential refueling information based on big data analysis includes the following steps:

[0027] S1: Establish a data connection with the car central control through the mobile phone or vehicle-mounted terminal to obtain the remaining fuel information of the vehicle; specifically, the mobile phone or vehicle-mounted terminal establishes a connection with the car central control through Bluetooth or OBD (On Board Diagnostics, on-board automatic diagnosis system) interface Data connection to obtain the remaining fuel information of the vehicle.

[0028] S2: The mobile phone or vehicle-mounted terminal queries the database, and when the remaining fuel volume of the vehicle is known, calculate the remaining distance that the vehicle can travel, that is, the remaining cruising range, according to the relationship between the vehicle information and fuel consumption pre-stored in the database;

[0029] T...

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Abstract

The invention provides a preferential refueling information intelligent recommendation method based on big data analysis, and the method comprises the following steps: building data connection with anautomobile central controller through a cellphone or a vehicle-mounted terminal, and obtaining the remaining fuel quantity information of a vehicle; inquiring a database, and under the condition thatthe remaining fuel quantity of the vehicle is known, calculating the remaining distance that the vehicle can drive according to the relation between vehicle information and fuel consumption pre-stored in the database; querying a database, screening out user refueling habits with the same or similar vehicle information through a big data algorithm, and judging whether refueling information of thegas station needs to be acquired or not in combination with refueling habits of a vehicle owner; and if the refueling information of the refueling station needs to be obtained, obtaining recommendation information of the refueling station within the remaining endurance mileage of the vehicle, and sending the recommendation information to the mobile phone or the vehicle-mounted terminal. The remaining distance that the vehicle can drive is calculated through big data analysis, whether the refueling information of the refueling station needs to be obtained or not is judged, and the accuracy andpertinence of the refueling station recommendation information are improved.

Description

technical field [0001] The invention relates to the technical field of vehicle intelligence, and more specifically, to a method for intelligently recommending preferential refueling information based on big data analysis. Background technique [0002] At present, with the improvement of vehicle intelligence, there has been a system that automatically reminds the driver to refuel, which can remind the driver to refuel when the remaining fuel of the vehicle is low. This method is limited to prompting the driver to refuel according to the remaining fuel amount of the vehicle. It does not take into account the user's own usage habits and whether there are discounts at nearby gas stations for judging whether to refuel, and the push is not accurate enough. Contents of the invention [0003] In order to overcome the defect of inaccurate pushing of gas station preferential information in the above-mentioned prior art, the present invention provides an intelligent recommendation me...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/9537
CPCG06F16/9535G06F16/9537
Inventor 曹庆露佘锡伟喻浩
Owner 广州探途网络技术有限公司
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