Vehicle TBOX communication quality detection method, system, device and medium

Abstract

The invention discloses a vehicle TBOX communication quality detection method, system and device and a medium. The TBOX communication quality detection method for the vehicle comprises the following steps: receiving a TBOX message uploaded by a TBOX of the vehicle and a DVR message uploaded by an automobile data recorder DVR; screening out TBOX message data and DVR message data in the same time period from the TBOX message and the DVR message; and comparing and analyzing the TBOX message data and the DVR message data to obtain communication differences between the TBOX and the cloud and between the DVR and the cloud, and determining whether the TBOX has communication abnormity according to the communication differences. Through adoption of the method and the device, the DVR message data is taken as a reference, and whether the TBOX has communication abnormity or not can be accurately identified in real time by comparing the communication differences between the TBOX and the cloud and between the DVR and the cloud, so that the efficiency and the reliability of communication quality detection are improved.

Description

Technical Field

[0001] This application relates to the field of vehicle networking, and in particular to a method, system, device and medium for detecting the communication quality of a vehicle's TBOX. Background Technology

[0002] In the field of connected vehicles, the TBOX (Transportation Toy Box) is a core component for vehicle communication with the outside world. Current TBOX communication quality testing primarily employs local vehicle testing methods, relying on diagnostic modules integrated into the vehicle system or external portable diagnostic equipment to directly read the TBOX's hardware status parameters (such as antenna signal strength and module power supply stability) and network interaction data (such as connection success rate and data transmission latency), generating a simple test report on the vehicle's central control screen or diagnostic tool. However, due to the limited computing power of vehicle-side devices, local testing methods often cannot perform in-depth analysis of the test data, making it difficult to accurately identify TBOX communication anomalies. Furthermore, the test results of this method are mostly presented retrospectively, making it difficult to dynamically monitor vehicle communication quality, thus failing to meet the industry's requirement for comprehensive real-time testing of TBOX communication quality. Summary of the Invention

[0003] Therefore, it is necessary to provide a method, system, device, and medium for detecting the communication quality of a vehicle's TBOX in order to address the aforementioned technical problems. By comparing the communication differences between the TBOX, DVR, and the cloud, the system can accurately identify whether there are communication anomalies in the TBOX in real time, thereby improving the efficiency and reliability of communication quality detection.

[0004] Firstly, a method for detecting the communication quality of a vehicle's TBOX is provided, including: Receive TBOX messages uploaded by the vehicle's TBOX and DVR messages uploaded by the dashcam; Filter out TBOX message data and DVR message data within the same time period from the TBOX message and the DVR message; The TBOX message data and DVR message data are compared and analyzed to obtain the communication differences between the TBOX and the DVR and the cloud, and the communication differences are used to determine whether there is a communication anomaly in the TBOX.

[0005] Further, the step of comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether the TBOX has a communication anomaly based on the communication differences, includes: Based on the difference between the daily online duration of the TBOX and the daily online duration of the DVR, determine whether the TBOX has an offline anomaly; and / or, If the DVR does not report the vehicle's engine off status within the first predetermined time, the difference between the number of messages sent by the DVR to the cloud and the number of messages sent by the TBOX to the cloud within the predetermined time is used to determine whether the TBOX has an offline anomaly.

[0006] Further, the step of comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether the TBOX has a communication anomaly based on the communication differences, includes: If the base station information reported by the TBOX to the cloud is consistent with the base station information reported by the DVR to the cloud, then the difference between the daily connection count of the TBOX and the daily connection count of the DVR is used to determine whether the TBOX has a connection abnormality.

[0007] Further, the step of comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether the TBOX has a communication anomaly based on the communication differences, includes: Based on the difference between the vehicle speed reported by the DVR and the mileage data of the TBOX, it is determined whether there is an abnormal mileage in the TBOX.

[0008] Further, the step of comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether the TBOX has a communication anomaly based on the communication differences, includes: If the DVR communicates normally with the cloud and the daily driving time of the vehicle is greater than the second predetermined time, then the difference between the number of files uploaded by the TBOX and the number of files uploaded by the DVR is used to determine whether there is a file transmission abnormality in the TBOX.

[0009] Further, the step of comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether the TBOX has a communication anomaly based on the communication differences, includes: Based on the difference between the SIM card status of the TBOX and the SIM card status of the DVR, it is determined whether the TBOX has a SIM card malfunction.

[0010] Furthermore, it also includes: When there is a difference in the communication status between the TBOX and the DVR, the difference type is obtained; The factors causing the TBOX communication anomaly are determined based on the type of difference.

[0011] Secondly, a vehicle TBOX communication quality detection system is provided, comprising: The receiving module is used to receive TBOX messages uploaded by the vehicle's TBOX and DVR messages uploaded by the dashcam. The filtering module is used to filter out TBOX message data and DVR message data within the same time period from the TBOX message and the DVR message; The detection module is used to compare and analyze the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and to determine whether there is a communication anomaly in the TBOX based on the communication differences.

[0012] Thirdly, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps of the TBOX communication quality detection method for a vehicle according to the first aspect and any possible implementation thereof.

[0013] Fourthly, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the vehicle TBOX communication quality detection method of the first aspect and any possible implementation thereof.

[0014] The embodiments of this application first receive TBOX messages uploaded by the vehicle's TBOX and DVR messages uploaded by the dashcam (DVR). Then, TBOX and DVR message data from the same time period are selected from the TBOX and DVR messages. Finally, the TBOX and DVR message data are compared and analyzed to obtain communication differences between the TBOX / DVR and the cloud, and the presence of communication anomalies in the TBOX is determined based on these differences. Therefore, by using DVR message data as a benchmark and comparing communication differences between the TBOX / DVR and the cloud, communication anomalies in the TBOX can be identified accurately and in real time, thereby improving the efficiency and reliability of communication quality detection. Attached Figure Description

[0015] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 A flowchart of a vehicle TBOX communication quality detection method provided in this application embodiment; Figure 2 A structural block diagram of a vehicle TBOX communication quality detection system provided in an embodiment of this application; Figure 3 A structural block diagram of a computer device provided in an embodiment of this application. Detailed Implementation

[0016] The present application will now be described in further detail with reference to the embodiments and accompanying drawings. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the application. Furthermore, it should be noted that, for ease of description, only the parts relevant to the application are shown in the accompanying drawings.

[0017] It should be noted that, unless otherwise specified, the embodiments and features of the embodiments in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0018] The following describes in detail, with reference to the accompanying drawings, a method, system, device, and medium for detecting the TBOX communication quality of a vehicle according to embodiments of this application.

[0019] Figure 1 This is a flowchart of a vehicle TBOX communication quality detection method according to an embodiment of this application. Figure 1 As shown, the vehicle TBOX communication quality detection method according to an embodiment of this application includes the following steps: S101: Receives TBOX messages uploaded by the vehicle's TBOX and DVR messages uploaded by the dashcam (DVR).

[0020] Both TBOX and DVR upload messages to the cloud via the Message Queuing Telemetry Transport (MQTT) protocol.

[0021] S102: Filter out TBOX message data and DVR message data within the same time period from the TBOX message and the DVR message.

[0022] Specifically, to establish the timing association between TBOX messages and DVR messages, the two are synchronized to the cloud standard time through the Network Time Protocol (NTP) to ensure the comparability of their message timestamps; and the TBOX message data and DVR message data are extracted based on the same time window, and the reliability of transmission is ensured through at least one delivery (QoS 1) in the MQTT protocol.

[0023] The TBOX message data includes data such as TBOX connection status, online duration, mileage data, and SIM card status; the DVR message data includes data such as online duration, driving status, and message sending timestamp. The DVR is connected to the vehicle battery and has the characteristics of independent power supply and stable network connection, which can provide a benchmark reference for TBOX communication quality testing.

[0024] S103: Compare and analyze the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR with the cloud, and determine whether there is a communication anomaly in the TBOX based on the communication differences.

[0025] In an embodiment of the present application, it further includes: when there are differences in the communication status between the TBOX and the DVR, obtain the type of difference; and obtain the factors causing the communication anomaly of the TBOX according to the type of difference.

[0026] Specifically, by comparing the positioning data of the DVR with the positioning data of the TBOX, it is confirmed that both are in the same physical location, and the deviation can be set to <10m, so as to avoid environmental differences caused by vehicle separation. At this time, when the TBOX and the DVR are in the same physical location, but there are differences in the communication status, such as: the DVR is online while the TBOX is offline, or the message sending success rate of the DVR is 95%, while the message sending success rate of the TBOX is 60%, the cloud obtains the corresponding factors causing the communication anomaly of the TBOX according to the type of difference.

[0027] In an embodiment of the present application, the comparison and analysis of the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR with the cloud, and determine whether there is a communication anomaly in the TBOX based on the communication differences includes: judging whether there is an offline anomaly in the TBOX according to the difference between the daily online duration of the TBOX and the daily online duration of the DVR; and / or, if the DVR does not report the vehicle熄火状态 within the first predetermined time, judge whether there is an offline anomaly in the TBOX according to the difference between the number of messages sent by the DVR to the cloud and the number of messages sent by the TBOX to the cloud within the predetermined time.

[0028] Specifically, since the DVR usually goes offline when the vehicle is powered off, the online duration of the DVR is regarded as the network - available duration of the vehicle. At this time, judge whether there is an offline anomaly in the TBOX according to the daily online duration of the TBOX. Among them, obtaining the number of messages sent by the DVR to the cloud is to prove that the vehicle network is available; judging that the DVR does not report the vehicle熄火状态 is to exclude the scenario of vehicle power - off.

[0029] In a specific example, it is set that when the daily online duration of the TBOX < 90% of the daily online duration of the DVR, and / or, if the DVR does not report the vehicle熄火状态 within the same hour, the DVR sends ≥50 messages to the cloud, while the TBOX sends ≤10 messages, it is determined that the TBOX has an offline anomaly. In other examples, the threshold can also be set according to actual needs.

[0030] Based on this, if within the same hour, the TBOX's online time is ≥ 95% of the DVR's concurrent online time, and the difference in message transmission success rate between the two is ≤ 5%, then the TBOX's offline anomaly is considered to have been resolved. In other examples, thresholds can also be set according to actual needs.

[0031] In one embodiment of this application, the step of comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether the TBOX has a communication anomaly based on the communication differences, includes: if the base station information reported by the TBOX to the cloud is consistent with the base station information reported by the DVR to the cloud, then determining whether the TBOX has a connection anomaly based on the difference between the daily connection count of the TBOX and the daily connection count of the DVR.

[0032] To rule out network handover caused by vehicles crossing regions, the system first verifies whether the base station information reported by the TBOX and DVR is consistent. If they are consistent, the stability of the base station network environment is verified. In a specific example, if the daily connection count of the DVR is less than 30 times, the base station network environment is considered stable. Furthermore, if the daily connection count of the TBOX is greater than 100 times, the TBOX is determined to have a connection anomaly.

[0033] Based on this, if the daily connection count of the DVR is ≤10 times, the daily connection count of the TBOX is <80 times, and the difference in MQTT retransmission rate between the two is ≤2%, it indicates that the connection status of the TBOX has returned to normal under normal network conditions. In other examples, the above thresholds can also be set according to actual needs.

[0034] In one embodiment of this application, the step of comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether the TBOX has a communication anomaly based on the communication differences, includes: determining whether the TBOX has a mileage anomaly based on the difference between the vehicle speed reported by the DVR and the mileage data of the TBOX.

[0035] Specifically, when the vehicle speed reported by the DVR is greater than 0, it indicates that the vehicle is in motion. If the mileage data of the TBOX remains unchanged or is missing at this time, after a certain period of time, such as 60 seconds, it is determined that the TBOX has an abnormal mileage.

[0036] Based on this, if the driving time reported by the DVR is less than 120 seconds, theoretically the vehicle's mileage is less than 30 kilometers. If the mileage interval reported by the TBOX is greater than 100 seconds and the difference is greater than 10 kilometers, then the mileage anomaly reported by the TBOX is determined to have been resolved. In other examples, the above thresholds can also be set according to actual needs.

[0037] In one embodiment of this application, the step of comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether the TBOX has a communication anomaly based on the communication differences, includes: if the DVR communicates normally with the cloud and the daily driving time of the vehicle is greater than a second predetermined time, then based on the difference between the number of files uploaded by the TBOX and the number of files uploaded by the DVR, it is determined whether the TBOX has a file transmission anomaly.

[0038] In a specific example, using the number of files uploaded by the DVR as a benchmark, assuming normal communication between the DVR and the cloud, if the average number of files uploaded by the TBOX is less than 200 per hour when the daily driving time of the vehicle is greater than 2 hours, then the TBOX is considered to have a file transfer anomaly. In other examples, thresholds can be set according to actual needs.

[0039] Based on this, if the DVR file transfer rate does not decrease significantly (e.g., fluctuations ≤10%), the network environment is considered to have not changed abruptly. In this case, if the number of files uploaded by the TBOX per hour exceeds 1000, the TBOX file transfer anomaly is considered to have been resolved. In other examples, threshold settings can be made according to actual needs.

[0040] In one embodiment of this application, the step of comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether the TBOX has a communication abnormality based on the communication differences, includes: determining whether the TBOX has a SIM card abnormality based on the difference between the SIM card status of the TBOX and the SIM card status of the DVR.

[0041] Specifically, under the same operator, if the DVR's SIM card is in normal status, meaning there is no signal failure in the operator's area, but the TBOX reports that the SIM card is out of service, then it is determined that the TBOX has a SIM card malfunction.

[0042] Based on this, when the TBOX's SIM card status returns to normal and its MQTT connection success rate is equal to that of the DVR (e.g., the difference is ≤3%), it is determined that the TBOX's SIM card abnormality has been resolved. In other examples, threshold settings can also be made according to actual needs.

[0043] Tests have shown that by using a DVR as a benchmark to test the communication quality of the TBOX, more than 90% of detection anomalies caused by network fluctuations and poor regional signals can be eliminated, reducing the false positive rate of TBOX anomaly identification by more than 40%.

[0044] According to the vehicle TBOX communication quality detection method of this application embodiment, the method first receives TBOX messages uploaded by the vehicle's TBOX and DVR messages uploaded by the dashcam (DVR); then, it filters TBOX message data and DVR message data from the same time period from the TBOX messages and DVR messages; finally, it compares and analyzes the TBOX message data and DVR message data to obtain the communication differences between the TBOX and DVR and the cloud, and determines whether the TBOX has a communication anomaly based on the communication differences. Therefore, by using DVR message data as a benchmark and comparing the communication differences between the TBOX and DVR and the cloud, it is possible to accurately identify whether the TBOX has a communication anomaly in real time, thereby improving the efficiency and reliability of communication quality detection.

[0045] Figure 2 This is a structural block diagram of a vehicle TBOX communication quality detection system according to an embodiment of this application. Figure 2 As shown, the vehicle TBOX communication quality detection system according to an embodiment of this application includes: a receiving module 210, a screening module 220, and a detection module 230, wherein: The receiving module 210 is used to receive TBOX messages uploaded by the vehicle's TBOX and DVR messages uploaded by the vehicle's DVR. The filtering module 220 is used to filter out TBOX message data and DVR message data within the same time period from the TBOX message and the DVR message; The detection module 230 is used to compare and analyze the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and to determine whether there is a communication anomaly in the TBOX based on the communication differences.

[0046] According to the vehicle TBOX communication quality detection method of this application embodiment, the method first receives TBOX messages uploaded by the vehicle's TBOX and DVR messages uploaded by the dashcam (DVR); then, it filters TBOX message data and DVR message data from the same time period from the TBOX messages and DVR messages; finally, it compares and analyzes the TBOX message data and DVR message data to obtain the communication differences between the TBOX and DVR and the cloud, and determines whether the TBOX has a communication anomaly based on the communication differences. Therefore, by using DVR message data as a benchmark and comparing the communication differences between the TBOX and DVR and the cloud, it is possible to accurately identify whether the TBOX has a communication anomaly in real time, thereby improving the efficiency and reliability of communication quality detection.

[0047] Specific limitations regarding the vehicle's TBOX communication quality testing system can be found in the above description of the limitations on the vehicle's TBOX communication quality testing method, and will not be repeated here. Each module of the aforementioned vehicle TBOX communication quality testing system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the computer device's memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0048] In one embodiment, a computer device is provided. Figure 3 This is a structural block diagram of the computer device provided in the embodiments of this application, with reference to... Figure 3 The computer device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the aforementioned embodiment of the vehicle TBOX communication quality detection method. For example, it performs the following: receiving TBOX messages uploaded by the vehicle's TBOX and DVR messages uploaded by the dashcam; filtering TBOX message data and DVR message data from the same time period from the TBOX messages and the DVR messages; comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether the TBOX has a communication anomaly based on the communication differences.

[0049] This application also provides a computer-readable storage medium storing a computer program. When the processor executes the computer program, it implements the aforementioned embodiment of the vehicle TBOX communication quality detection method. For example, it performs the following actions: receiving TBOX messages uploaded by the vehicle's TBOX and DVR messages uploaded by the dashcam; filtering TBOX message data and DVR message data from the same time period from the TBOX messages and the DVR messages; comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether the TBOX has a communication anomaly based on the communication differences.

[0050] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0051] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0052] The above embodiments merely illustrate several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for detecting the communication quality of a vehicle's TBOX, characterized in that, Applied to the cloud, the method includes: Receive TBOX messages uploaded by the vehicle's TBOX and DVR messages uploaded by the dashcam; Filter out TBOX message data and DVR message data within the same time period from the TBOX message and the DVR message; The TBOX message data and DVR message data are compared and analyzed to obtain the communication differences between the TBOX and the DVR and the cloud, and the communication differences are used to determine whether there is a communication anomaly in the TBOX.

2. The vehicle TBOX communication quality detection method according to claim 1, characterized in that, The step of comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether there is a communication anomaly in the TBOX based on the communication differences, includes: Based on the difference between the daily online duration of the TBOX and the daily online duration of the DVR, determine whether the TBOX has an offline anomaly; and / or, If the DVR does not report the vehicle's engine off status within the first predetermined time, the difference between the number of messages sent by the DVR to the cloud and the number of messages sent by the TBOX to the cloud within the predetermined time is used to determine whether the TBOX has an offline anomaly.

3. The vehicle TBOX communication quality detection method according to claim 1, characterized in that, The step of comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether there is a communication anomaly in the TBOX based on the communication differences, includes: If the base station information reported by the TBOX to the cloud is consistent with the base station information reported by the DVR to the cloud, then the difference between the daily connection count of the TBOX and the daily connection count of the DVR is used to determine whether the TBOX has a connection abnormality.

4. The vehicle TBOX communication quality detection method according to claim 1, characterized in that, The step of comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether there is a communication anomaly in the TBOX based on the communication differences, includes: Based on the difference between the vehicle speed reported by the DVR and the mileage data of the TBOX, it is determined whether there is an abnormal mileage in the TBOX.

5. The vehicle TBOX communication quality detection method according to claim 1, characterized in that, The step of comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether there is a communication anomaly in the TBOX based on the communication differences, includes: If the DVR communicates normally with the cloud and the daily driving time of the vehicle is greater than the second predetermined time, then the difference between the number of files uploaded by the TBOX and the number of files uploaded by the DVR is used to determine whether there is a file transmission abnormality in the TBOX.

6. The vehicle TBOX communication quality detection method according to claim 1, characterized in that, The step of comparing and analyzing the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and determining whether there is a communication anomaly in the TBOX based on the communication differences, includes: Based on the difference between the SIM card status of the TBOX and the SIM card status of the DVR, it is determined whether the TBOX has a SIM card malfunction.

7. The method for detecting the communication quality of a vehicle's TBOX according to any one of claims 1-6, characterized in that, Also includes: When there is a difference in the communication status between the TBOX and the DVR, the difference type is obtained; The factors causing the TBOX communication anomaly are determined based on the type of difference.

8. A vehicle TBOX communication quality detection system, characterized in that, The vehicle's TBOX communication quality detection system, applied in the cloud, includes: The receiving module is used to receive TBOX messages uploaded by the vehicle's TBOX and DVR messages uploaded by the dashcam. The filtering module is used to filter out TBOX message data and DVR message data within the same time period from the TBOX message and the DVR message; The detection module is used to compare and analyze the TBOX message data and DVR message data to obtain the communication differences between the TBOX and the DVR and the cloud, and to determine whether there is a communication anomaly in the TBOX based on the communication differences.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the TBOX communication quality detection method for vehicles according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the TBOX communication quality detection method for vehicles according to any one of claims 1-7.

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