System and method for remotely controlling vehicle driving data

Abstract

The invention relates to a system and method for remotely managing and controlling vehicle driving data, and the system comprises an instrument panel at a managed vehicle end, a monitor aligned with the instrument panel, a communication module electrically connected with the monitor, and an identification platform arranged at a remote management end. The first calibration camera is aligned with a first calibration area of the instrument panel, and the second calibration camera is aligned with a second calibration area of the instrument panel; s2, the monitor captures pictures of the first calibration area and the second calibration area of the instrument panel according to a preset program, and the pictures are transmitted to an identification platform through a communication module; and S3, the identification platform carries out corresponding processing on the plurality of captured pictures. According to the invention, a CAN bus does not need to be in butt joint with internal protocols of different vehicle enterprises, a simple and novel vehicle driving data management and control method is adopted, the operation and maintenance cost is greatly reduced, and data such as oil consumption, driving mileage and driving speed of a driver vehicle can be effectively monitored in real time.

Description

Technical Field

[0001] The present invention relates to the field of vehicle management technology, and in particular to a system and method for remotely controlling vehicle driving data. Background Art

[0002] Currently, many large vehicles will join large logistics companies or freight companies. When managing their fleets, these freight companies often need to obtain fuel consumption information and mileage of the fleet vehicles. Because different car companies use their own internal protocols to save this data, there is no device on the market that can access the OBD (OBD is the abbreviation of On-Board Diagnostics in English, translated into Chinese as the vehicle automatic diagnostic system) system of different car companies to obtain data. Accessing the vehicle's OBD requires connecting to the internal protocols of different car companies through the CAN bus. Once the car company system is upgraded, the corresponding docking protocol also needs to be upgraded. At the same time, it is difficult to avoid being labeled as illegal by the vehicle system, which makes vehicle management relatively complicated and increases operating and maintenance costs. At present, logistics companies and freight companies still use paper documents such as invoices to reimburse drivers for fuel consumption, which is easy to forge and has cumbersome calculations.

[0003] In order to solve these problems, this solution proposes a system and method for remotely controlling vehicle driving data. Summary of the Invention

[0004] The present invention aims to address the existing issues of vehicle management. If the vehicle's OBD needs to be connected to different car company internal protocols via the CAN bus, vehicle management becomes relatively complex and operating and maintenance costs increase. If the driver's fuel consumption is reimbursed using paper documents such as invoices, it is easy to forge and requires cumbersome calculations. The specific solutions are as follows:

[0005] A method for remotely controlling vehicle driving data uses a system for remotely controlling vehicle driving data. The system includes an instrument panel on a controlled vehicle, a monitor located on the controlled vehicle and aligned with the instrument panel, a communication module electrically connected to the monitor, and an identification platform located on a remote management end. The method is performed in the following steps:

[0006] Step 1: Select calibration. Select the calibration method on the PC of the recognition platform. Install the first calibration camera and the second calibration camera on the monitor. The first calibration camera is aimed at the first calibration area of the instrument panel, and the second calibration camera is aimed at the second calibration area of the instrument panel.

[0007] Step 2: Information collection: The monitor takes pictures of the first and second calibration areas of the instrument panel according to a preset program and transmits them to the recognition platform via the communication module;

[0008] Step 3: Identification processing: the recognition platform performs corresponding processing on multiple captured images, including image preprocessing, character recognition and image recoding, and sends the recognition success or failure result to the monitor and communication module.

[0009] Furthermore, the method of selecting the calibration method in step 1 is: using coordinate calibration or point mapping calibration to calibrate the target area to be monitored.

[0010] Furthermore, the first calibration camera is a monochrome camera, and the second calibration camera is a full-color camera.

[0011] Furthermore, the monochrome camera is a monochrome camera with a 940nm filter.

[0012] Furthermore, the full-color camera is a full-color camera with a 650nm filter.

[0013] Furthermore, in step 1, the first calibration area is the physical pointer and physical dial area in the instrument panel; the second calibration area is the electronic display dial area in the instrument panel, and the electronic display dial includes a liquid crystal display or a digital tube display dial.

[0014] Furthermore, in step 1, the first calibration area or the second calibration area includes display information of mileage, remaining fuel and driving speed.

[0015] Furthermore, the communication module in step 2 uploads the image data to the recognition platform via the TCP network JT808 protocol.

[0016] Furthermore, the method of image preprocessing, character recognition and re-encoding in step 3 is: first grayscale, binarize, denoise and correct the image, obtain the corresponding information of the dashboard of the managed vehicle from the processed image through character recognition and analysis, and print the obtained result watermark on the re-encoded image for management by relevant personnel.

[0017] A system for remotely controlling vehicle driving data is used to implement the above-mentioned method for remotely controlling vehicle driving data, comprising an instrument panel on the managed vehicle side, a monitor arranged at the managed vehicle side and aimed at the instrument panel, a communication module electrically connected to the monitor, and an identification platform arranged at the remote management side, wherein the instrument panel includes a physical pointer and a physical dial area or an electronic display dial area, and the electronic display dial includes a liquid crystal display or a digital tube display dial; the monitor is equipped with a first camera and a second camera, wherein the first camera is a monochrome camera with a 940nm filter and the second camera is a full-color camera with a 650nm filter, the communication module is a BC76 type 4G module, and the identification platform is provided with a PC, which is wirelessly connected to the communication module via the Internet.

[0018] In summary, the technical solution of the present invention has the following beneficial effects:

[0019] The present invention does not require the use of a CAN bus to connect to the internal protocols of different car companies. Instead, it adopts a simple and novel vehicle driving data management method, which significantly reduces operating and maintenance costs and can effectively monitor the driver's vehicle's fuel consumption, mileage, driving speed and other data in real time. The innovations of the present invention are highlighted in the following aspects:

[0020] (1) The present invention does not connect to the vehicle through traditional communication methods, but instead obtains target information through camera acquisition + algorithm calibration data. This can avoid a lot of operation and maintenance and costs caused by the process of connecting different protocols, and at the same time can obtain target information most directly.

[0021] (2) The present invention adopts a monochrome camera and a full-color camera to overcome the problem that the dashboard data cannot be obtained due to the reflection of the dashboard in a strong light environment. The physical pointers and physical dials in the dashboard are captured by a monochrome camera with a 940nm filter, and the electronically displayed dashboard information is captured by a full-color camera with a 650nm filter, ensuring that accurate and effective dashboard data is collected.

[0022] (3) The present invention cleverly shares the communication module in the driver locator, namely the BC76 type 4G module, which is connected to the monitor of the present invention through the RS232 serial port to achieve the purpose of remote wireless communication with the identification platform, saving the material cost of the communication module.

[0023] (4) The present invention avoids the hardware changes required to cope with different models of instrument panels, greatly saving costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments of the present invention. Obviously, the drawings described below only represent a portion of the embodiments of the present invention, and those skilled in the art can derive other drawings based on these drawings without inventive effort.

[0025] Figure 1 This is a flow chart of a method for remotely controlling vehicle driving data according to the present invention;

[0026] Figure 2 This is a block diagram of a system for remotely controlling vehicle driving data according to the present invention;

[0027] Figure 3 Schematic diagram of the instrument panel of the present invention.

[0028] Description of reference numerals:

[0029] 1-Vehicle end, 10-Instrument panel, 11-First calibration area, 12-Second calibration area, 2-Device end, 20-Monitor, 21-Monochrome camera, 22-Full-color camera, 30-Communication module, 4-Management end, 40-Identification platform, 41-PC. DETAILED DESCRIPTION

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0031] like Figure 1 、 2 3, a method for remotely controlling vehicle driving data uses a system for remotely controlling vehicle driving data, the system comprising an instrument panel 10 of a controlled vehicle terminal 1, a monitor 20 provided on the controlled vehicle terminal 1 and aligned with the instrument panel 10, a communication module 30 electrically connected to the monitor 20, and an identification platform 40 provided on a remote management terminal 4, and is performed in the following steps:

[0032] Step S1, select calibration. Select a calibration method on the PC 41 of the recognition platform 40, install a first calibration camera and a second calibration camera in the monitor 20, aim the first calibration camera at the first calibration area 11 of the instrument panel 10, and aim the second calibration camera at the second calibration area 12 of the instrument panel 10;

[0033] Step S2, information collection, the monitor 20 takes pictures of the first calibration area 11 and the second calibration area 12 of the instrument panel 10 according to the preset program, and transmits the pictures to the recognition platform 40 via the communication module 30; (the preset program is installed in the PC 41)

[0034] Step S3, recognition processing, the recognition platform 40 performs corresponding processing on the multiple captured images, including image preprocessing, character recognition and image recoding, and the recognition platform 40 sends the recognition success or failure result to the monitor 20 and the communication module 30.

[0035] Specifically, in step S1, the method of selecting the calibration method is: using coordinate calibration or using point calibration to calibrate the target area to be monitored. (The target area refers to the first calibration area 11 and the second calibration area 12)

[0036] Specifically, the first calibration camera is a monochrome camera 21 , and the second calibration camera is a full-color camera 22 .

[0037] Specifically, the monochrome camera 21 is a monochrome camera with a 940nm filter.

[0038] Specifically, the full-color camera 22 is a full-color camera with a 650nm filter.

[0039] Specifically, in step S1 , the first calibration area 11 is the physical pointer and physical dial area in the instrument panel 10 ; the second calibration area 12 is the electronic display dial area in the instrument panel 10 , and the electronic display dial includes a liquid crystal display or a digital tube display dial.

[0040] Specifically, in step S1, the first calibration area 11 or the second calibration area 12 includes display information of mileage, remaining fuel and driving speed. (If necessary, it may also include vehicle urea display information)

[0041] Specifically, in step S2, the communication module 30 uploads the image data to the recognition platform 40 via the TCP network JT808 protocol. Preferably, the present invention shares the communication module 30 in the driver locator (not shown), specifically a BC76 4G module developed independently by our company. The communication module 30 is connected to the monitor 20 via an RS232 serial port, achieving remote wireless communication with the recognition platform 40, saving the material cost of a communication module.

[0042] Specifically, the method of image preprocessing, character recognition and re-encoding in step S3 is: first grayscale, binarization, denoising and correction processing are performed on the image, and the corresponding information of the dashboard 10 of the managed vehicle is obtained from the processed image through character recognition and analysis, and the obtained result watermark is printed on the re-encoded image for management by relevant personnel.

[0043] A system for remotely controlling vehicle driving data, used to implement the aforementioned method for remotely controlling vehicle driving data, comprises an instrument panel 10 of a controlled vehicle 1, a monitor 20 located on the controlled vehicle 1 and aligned with the instrument panel 10, a communication module 30 electrically connected to the monitor 20, and an identification platform 40 located on a remote management terminal 4. The monitor 20 and the communication module 30 constitute the device 2. The instrument panel 10 includes physical pointers and a physical dial area (i.e., a first calibration area 11) or an electronic display dial area (i.e., a second calibration area 12). The electronic display dial includes a liquid crystal display or a digital tube display dial. The monitor 20 is equipped with a first camera (i.e., a monochrome camera 21) and a second camera (i.e., a full-color camera 22). The first camera 21 is a monochrome camera with a 940nm filter, and the second camera 22 is a full-color camera with a 650nm filter. The communication module 30 is a BC76 4G module. The identification platform 40 includes a personal computer 41, which is wirelessly connected to the communication module 30 via the Internet. The PC 41 is provided with a preset program that can control the monitor 20 installed on the vehicle side 1 (in the device side 2) to obtain various vehicle driving data. The preset program includes image capture rules and algorithms for character recognition and image processing.

[0044] In summary, the technical solution of the present invention has the following beneficial effects:

[0045] The present invention does not require the use of a CAN bus to connect to the internal protocols of different car companies. Instead, it adopts a simple and novel vehicle driving data management method, which significantly reduces operating and maintenance costs and can effectively monitor the driver's vehicle's fuel consumption, mileage, driving speed and other data in real time. The innovations of the present invention are highlighted in the following aspects:

[0046] (1) The present invention does not connect to the vehicle through traditional communication methods, but instead obtains target information through camera acquisition + algorithm calibration data. This can avoid a lot of operation and maintenance and costs caused by the process of connecting different protocols, and at the same time can obtain target information most directly.

[0047] (2) The present invention adopts a monochrome camera and a full-color camera to overcome the problem that the dashboard data cannot be obtained due to the reflection of the dashboard in a strong light environment. The physical pointers and physical dials in the dashboard are captured by a monochrome camera with a 940nm filter, and the electronically displayed dashboard information is captured by a full-color camera with a 650nm filter, ensuring that accurate and effective dashboard data is collected.

[0048] (3) The present invention cleverly shares the communication module in the driver locator, namely the BC76 type 4G module, which is connected to the monitor of the present invention through the RS232 serial port to achieve the purpose of remote wireless communication with the identification platform, saving the material cost of the communication module.

[0049] (4) The present invention avoids the hardware changes required to cope with different models of instrument panels, greatly saving costs.

[0050] The above-described embodiments do not constitute a limitation on the scope of protection of this technical solution. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the above-described embodiments shall be included in the scope of protection of this technical solution.

Claims

1. A method for remotely controlling vehicle driving data, characterized in that: A system for remotely controlling vehicle driving data is used. The system includes an instrument panel on the managed vehicle, a monitor located on the managed vehicle and aligned with the instrument panel, a communication module electrically connected to the monitor, and an identification platform located on the remote management end. The system is operated in the following steps: Step 1: Select calibration. Select the calibration method on the PC of the recognition platform. Install the first calibration camera and the second calibration camera on the monitor. The first calibration camera is aimed at the first calibration area of the instrument panel, and the second calibration camera is aimed at the second calibration area of the instrument panel. Step 2: Information collection: The monitor takes pictures of the first and second calibration areas of the instrument panel according to a preset program and transmits them to the recognition platform via the communication module; Step 3: Identification processing: the recognition platform performs corresponding processing on multiple captured images, including image preprocessing, character recognition and image recoding, and sends the recognition success or failure result to the monitor and communication module.

2. The method for remotely controlling vehicle driving data according to claim 1, characterized in that: The method for selecting the calibration method described in step 1 is: using coordinate calibration or using point calibration to calibrate the target area to be monitored.

3. The method for remotely controlling vehicle driving data according to claim 1, characterized in that: The first calibration camera is a monochrome camera, and the second calibration camera is a full-color camera.

4. The method for remotely controlling vehicle driving data according to claim 3, characterized in that: The monochrome camera is a monochrome camera with a 940nm filter.

5. The method for remotely controlling vehicle driving data according to claim 3, characterized in that: The full-color camera is a full-color camera with a 650nm filter.

6. The method for remotely controlling vehicle driving data according to claim 1, characterized in that: In step 1, the first calibration area is the physical pointer and physical dial area in the instrument panel; the second calibration area is the electronic display dial area in the instrument panel, and the electronic display dial includes a liquid crystal display or a digital tube display dial.

7. The method for remotely controlling vehicle driving data according to claim 1, characterized in that: In step 1, the first calibration area or the second calibration area includes display information of mileage, remaining fuel and driving speed.

8. The method for remotely controlling vehicle driving data according to claim 1, characterized in that: The communication module in step 2 uploads the image data to the recognition platform via the TCP network JT808 protocol.

9. The method for remotely controlling vehicle driving data according to claim 1, characterized in that: The method of image preprocessing, character recognition and re-encoding described in step 3 is: first grayscale, binarize, denoise and correct the image, and obtain the corresponding information of the dashboard of the managed vehicle from the processed image through character recognition and analysis, and print the obtained result watermark on the re-encoded image for management by relevant personnel.

10. A system for remotely controlling vehicle driving data, for implementing the method for remotely controlling vehicle driving data according to any one of claims 1 to 9, characterized in that: It includes an instrument panel on the managed vehicle side, a monitor installed on the managed vehicle side and aimed at the instrument panel, a communication module electrically connected to the monitor, and an identification platform installed on the remote management side. The instrument panel includes a physical pointer and a physical dial area or an electronic display dial area, and the electronic display dial includes a liquid crystal display or a digital tube display dial; the monitor is equipped with a first camera and a second camera, wherein the first camera is a monochrome camera with a 940nm filter and the second camera is a full-color camera with a 650nm filter. The communication module is a BC76 type 4G module. The identification platform is provided with a PC, and the PC is wirelessly connected to the communication module via the Internet.

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