A method for automatically identifying the type of heavy truck vehicle on a vehicle networking platform

Abstract

The present invention relates to a method for automatically identifying the type of heavy truck vehicles on an Internet of Vehicles platform, which solves the problem that the current manual identification is inefficient and prone to errors. S1: Adding a vehicle to the Internet of Vehicles platform: The vehicle registration software inputs the VIN code, and the vehicle registration software obtains the vehicle data from the "Internet of Vehicles platform registration information" Excel table and sends it to the vehicle management Internet of Vehicles platform through an http request. The vehicle management Internet of Vehicles platform registers the information to the Internet of Vehicles platform, and the vehicle management Internet of Vehicles platform returns the result to the vehicle registration software; S2: The Internet of Vehicles Internet of Vehicles platform identifies the vehicle type: The Internet of Vehicles platform uses "or" and "and" combination conditions to identify the vehicle type based on the vehicle VIN code, ND number and engine number; S3: The Internet of Vehicles platform automatically scans: S4: Update the vehicle type: Identify the vehicle type according to the newly set vehicle type rule, and mark the vehicle type in the vehicle information. The present invention realizes refined management through precise classification, efficient scheduling and real-time monitoring of the Internet of Vehicles platform.

Description

Technical Field

[0001] The invention relates to a method for automatically identifying the type of a heavy truck vehicle on a vehicle networking platform, and belongs to the technical field of vehicle networking. Background Art

[0002] In the IoV platform, vehicle model information plays a very important role. It is not only related to vehicle identification, management, service, and data analysis, but also affects user experience, data security, and the operational efficiency of the IoV platform. Vehicle model information helps to collect and analyze vehicle usage data, providing a basis for vehicle performance evaluation, fault prediction, etc. Ensuring the accuracy and timely update of vehicle model information is crucial for the healthy development of the IoV platform. At present, most vehicle models are manually identified on the IoV platform to maintain static data.

[0003] With the growing development of the Internet of Vehicles, if vehicles are not effectively classified and managed on the Internet of Vehicles platform, it may lead to reduced vehicle operating efficiency, increased operating costs, reduced service levels, etc. Ensuring the accuracy and timely updating of vehicle model information is crucial to the healthy development of the Internet of Vehicles platform. However, manual identification is currently inefficient and prone to errors. Summary of the invention

[0004] The present invention solves the problem of low efficiency and easy error in current manual identification by automatically identifying the type of heavy truck vehicles on a vehicle networking platform.

[0005] The present invention is achieved by the following technical solutions:

[0006] A method for automatically identifying a heavy truck vehicle type on a vehicle networking platform comprises the following steps:

[0007] S1: Internet of Vehicles Platform plus Vehicle

[0008] The vehicle registration software inputs the VIN code, and the vehicle registration software obtains the vehicle data from the "Internet of Vehicles Platform Registration Information" Excel table and sends it to the vehicle management Internet of Vehicles platform through an http request. The vehicle management Internet of Vehicles platform registers the information to the Internet of Vehicles platform, and the vehicle management Internet of Vehicles platform returns the result to the vehicle registration software;

[0009] S2: Identify vehicle models via the IoV platform

[0010] The IoV platform uses the combination of "or" and "and" to identify the vehicle type based on the vehicle VIN code, ND number and engine number;

[0011] S3: Automatic scanning of the Internet of Vehicles platform

[0012] 1) The Internet of Vehicles platform creates a new vehicle model automatic scanning task. As long as a vehicle is added, the Internet of Vehicles platform will identify the vehicle type according to the set vehicle type rules and mark the vehicle model in the vehicle information;

[0013] 2) Define the time interval for executing the automatic scanning task and execute the automatic scanning task within the predetermined time interval;

[0014] S4: Updated model

[0015] 1) Delete the marked vehicle model in the original vehicle information;

[0016] 2) Identify the vehicle type according to the newly set vehicle type rules and mark the vehicle type in the vehicle information.

[0017] In step S2, the vehicle type represented by the VIN code, ND number and engine number is:

[0018] a. VIN code

[0019] The fourth digit of the VIN code indicates: F represents truck chassis; 0 represents light truck; 1 represents truck; 2 represents off-road vehicle; 3 represents dump truck; 4 represents semi-trailer tractor; 5 represents special-purpose vehicle;

[0020] The first three letters of the VIN code represent: LBZ represents a fuel vehicle; LW9, LY9, LV9, LX9 represent an electric vehicle;

[0021] b. ND number

[0022] The first digit after the ND number means: 1 for truck; 2 for off-road vehicle; 3 for dump truck; 4 for tractor; 5 for special vehicle;

[0023] c. Engine number

[0024] The first digit after the letter E in the engine number indicates: 5 represents National V vehicle; 6 represents National VI vehicle.

[0025] The present invention develops a function of automatically identifying vehicle types on the Internet of Vehicles platform. Managing vehicles by vehicle type can ensure that various types of vehicles can be used more efficiently and safely, improve service quality and operational efficiency, reduce operating costs, and ensure compliance. Refined management is achieved through precise classification, efficient scheduling, and real-time monitoring on the Internet of Vehicles platform. DETAILED DESCRIPTION

[0026] The present invention is a method for automatically identifying the type of heavy trucks on a vehicle networking platform, and the specific scheme is as follows:

[0027] (i) The vehicle data is obtained from the "Information" Excel sheet and sent to the vehicle management Internet of Vehicles platform through an http request. The vehicle management Internet of Vehicles platform registers the information to the Internet of Vehicles platform, and the vehicle management Internet of Vehicles platform returns the results to the vehicle registration software.

[0028] (II) Identification of vehicle models by the IoV platform

[0029] The Internet of Vehicles platform uses the combination of "or" and "and" to identify the vehicle type based on the vehicle VIN code, ND number and engine number.

[0030] 1. VIN code

[0031] The fourth digit of the VIN code represents: F represents truck chassis; 1 represents truck; 2 represents off-road vehicle; 3 represents dump truck; 4 represents semi-trailer tractor; 5 represents special-purpose vehicle.

[0032] The fourth digit of the VIN code indicates: 0 represents a light truck model.

[0033] The first three letters of the VIN code represent: LBZ represents a fuel vehicle; LW9, LY9, LV9, and LX9 represent electric vehicles.

[0034] 2. ND

[0035] The first digit after the ND number means: 1 for truck; 2 for off-road vehicle; 3 for dump truck; 4 for tractor; 5 for special-purpose vehicle.

[0036] 3. Engine number

[0037] The first digit after the letter E in the engine number indicates: 5 represents National V vehicle; 6 represents National VI vehicle.

[0038] (III) Automatic scanning of the Internet of Vehicles platform

[0039] 1. The Internet of Vehicles platform creates a new automatic vehicle model scanning task. As long as a vehicle is added, the Internet of Vehicles platform will identify the vehicle type according to the set vehicle type rules and mark the vehicle model in the vehicle information.

[0040] 2. Define the time interval for executing the automatic scanning task and execute the automatic scanning task within the predetermined time interval.

[0041] (IV) Updated vehicle models

[0042] 1. Delete the marked vehicle models in the original vehicle information.

[0043] 2. Identify the vehicle type according to the newly set vehicle type rules and mark the vehicle type in the vehicle information.

[0044] Beneficial effects of the present invention:

[0045] By managing vehicles by vehicle type, the Internet of Vehicles platform can achieve more refined operations, improve overall operational efficiency and customer service quality, manage vehicle assets more effectively, and allocate vehicle resources reasonably. Dispatching vehicles according to vehicle type can improve transportation efficiency and reduce idle driving and waiting time; by reasonably arranging vehicle models, unnecessary fuel consumption and maintenance costs can be reduced; regular maintenance based on vehicle model characteristics can extend vehicle service life and reduce unexpected failures. With the rapid development of the logistics industry, managing vehicles by vehicle model has become an important means to improve the industry's service level and efficiency.

Claims

1. A method for automatically identifying the type of heavy truck vehicle on a vehicle networking platform, characterized by: The following steps are involved: S1: Internet of Vehicles Platform plus Vehicle The vehicle registration software inputs the VIN code, and the vehicle registration software obtains the vehicle data from the "Internet of Vehicles Platform Registration Information" Excel table and sends it to the vehicle management Internet of Vehicles platform through an http request. The vehicle management Internet of Vehicles platform registers the information to the Internet of Vehicles platform, and the vehicle management Internet of Vehicles platform returns the result to the vehicle registration software; S2: Identify vehicle models via the IoV platform The Internet of Vehicles platform uses the combination of "or" and "and" to identify the vehicle type based on the vehicle VIN code, ND number and engine number; S3: Automatic scanning of the Internet of Vehicles platform 1) The Internet of Vehicles platform creates a new vehicle model automatic scanning task. As long as a vehicle is added, the Internet of Vehicles platform will identify the vehicle type according to the set vehicle type rules and mark the vehicle model in the vehicle information; 2) Define the time interval for executing the automatic scanning task and execute the automatic scanning task within the predetermined time interval; S4: Updated model 1) Delete the marked vehicle model in the original vehicle information; 2) Identify the vehicle type according to the newly set vehicle type rules and mark the vehicle type in the vehicle information.

2. The method for automatically identifying the type of heavy truck vehicle by a vehicle networking platform according to claim 1 is characterized by: In step S2, the vehicle type represented by the VIN code, ND number and engine number is: a. VIN code The fourth digit of the VIN code indicates: F represents truck chassis; 0 represents light truck; 1 represents truck; 2 represents off-road vehicle; 3 represents dump truck; 4 represents semi-trailer tractor; 5 represents special-purpose vehicle; The first three letters of the VIN code represent: LBZ represents a fuel vehicle; LW9, LY9, LV9, LX9 represent an electric vehicle; b. ND number The first digit after the ND number means: 1 for truck; 2 for off-road vehicle; 3 for dump truck; 4 for tractor; 5 for special vehicle; c. Engine number The first digit after the letter E in the engine number indicates: 5 represents National V vehicle; 6 represents National VI vehicle.