A road condition statistics method and system for TPMS sensitivity testing

Abstract

The present invention discloses a road condition statistics method for TPMS sensitivity testing, comprising: first, pre-storing multiple groups of calibration data formed by classifying the vehicle speed range corresponding to each road condition into a CAN bus recorder; obtaining the current vehicle speed through the CAN bus recorder and comparing it with the corresponding vehicle speed range in the multiple groups of calibration data pre-stored in the CAN bus recorder to determine the current road section traveled on, performing human-computer interaction with the driver on the road section status, and marking and storing the result after waiting for the driver's confirmation; this solution determines the current road condition through the vehicle speed information and the pre-stored calibration data in the CAN bus recorder, performs human-computer interaction with the driver, and marks the result after waiting for the driver's confirmation, thereby greatly improving the reliability of subsequent data screening.

Description

Technical Field

[0001] The present invention relates to the field of Internet technology, and in particular to a road condition statistics method and system for TPMS sensitivity testing. Background Art

[0002] Tire Pressure Monitoring Systems (TPMS) primarily utilize direct monitoring, consisting of a tire pressure monitoring receiver and four tire pressure monitoring sensors. These sensors transmit high-frequency data every minute while the vehicle is in motion. If data is not received for an extended period, the TPMS system will be unable to provide timely warning information to the driver. Therefore, monitoring the tire pressure monitoring receiver's performance is crucial, but also extremely time-consuming.

[0003] The main factors affecting the performance of tire pressure monitoring receivers are vehicle speed, road section, and obstacles. These receivers can convert high-frequency data into messages and display them on the CAN bus. It is this bus data that needs to be monitored.

[0004] There are two main test methods for the sensitivity of tire pressure monitoring systems:

[0005] See also Figure 1 ,The first method is to record the data through a CANBus message recording device, ,then export the data and finally process it using automated ,tools.

[0006] However, the data recorded by this solution is relatively chaotic compared to TPMS, and the data reliability is very low. The driver cannot determine which section of the road is the source of the interference.

[0007] See also Figure 2 The second method is to directly connect the computer and data to the actual vehicle and collect data in real time.

[0008] However, this solution requires a driver to operate those technical devices while driving, which is difficult and dangerous. A technician is also required to classify the received data, which doubles the labor cost compared to the first solution.

[0009] It can be seen that how to improve the reliability of data without increasing labor costs is a problem that needs to be solved in this field. Summary of the Invention

[0010] In response to the technical problem of low reliability of road conditions in existing tire pressure monitoring systems, the purpose of this solution is to provide a TPMS sensitivity test road condition statistics method, which determines the current road conditions through vehicle speed information and pre-stored calibration data in the CAN bus recorder, and interacts with the driver, waiting for the driver's confirmation before marking, greatly improving the reliability of subsequent data screening; on this basis, a TPMS sensitivity test road condition statistics system is also provided, which effectively overcomes the problems existing in the existing technology.

[0011] In order to achieve the above-mentioned object, the present invention provides a road condition statistics method for TPMS sensitivity testing, comprising:

[0012] First, multiple sets of calibration data corresponding to the vehicle speed ranges of each road condition are classified and pre-stored in the CAN bus recorder. After obtaining the current vehicle speed through the CAN bus recorder, it is compared with the corresponding vehicle speed ranges in the multiple sets of calibration data pre-stored in the CAN bus recorder to determine the current road section, and the road section status is communicated to the driver through human-computer interaction, and the data is marked and stored after the driver's confirmation.

[0013] Furthermore, if the driver confirms the road section determined by the current CAN bus recorder, and marks the current vehicle speed and road conditions to form new calibration data; if the driver does not confirm the road section determined by the current CAN bus recorder, the current road section is defaulted to the road section described in the last label.

[0014] Furthermore, the current vehicle speed information is obtained through the message in the CAN bus.

[0015] Furthermore, after the vehicle speed information is collected, multiple sets of calibrated data are directly called to perform real-time cyclic monitoring with the vehicle speed. If the vehicle speed meets the range of one set of calibrated data, a confirmation signal is generated to interact with the driver.

[0016] In order to achieve the above-mentioned object, the present invention provides a TPMS sensitivity test road condition statistics system, comprising a database unit, a speed measurement unit, a human-computer interaction unit, and a marking unit;

[0017] The database unit includes multiple sets of data corresponding to various road conditions and vehicle speed ranges;

[0018] The speed measuring unit is used to measure the current vehicle speed and compare the acquired vehicle speed with multiple sets of data in the database unit. The road condition corresponding to the vehicle speed is judged by the driver through the human-computer interaction unit. After the judgment, the road condition and the corresponding vehicle speed data are marked by the marking unit to form new calibration data.

[0019] Furthermore, the road condition corresponding to the vehicle speed measured by the speed measuring unit is judged by the driver through the human-computer interaction unit. If the driver confirms the road condition, the current vehicle speed and road condition are marked by the marking unit to form new calibration data; if the driver does not confirm the currently determined road section, the current road section is defaulted to the road section described in the last label.

[0020] This solution provides a road condition statistics method for TPMS sensitivity testing. It determines the current road condition through vehicle speed information and pre-stored calibration data in the CAN bus recorder, interacts with the driver, and then marks the road condition after waiting for the driver's confirmation, greatly improving the reliability of subsequent data screening. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention is further described below with reference to the accompanying drawings and specific embodiments.

[0022] Figure 1 This is a data statistics flow chart for the first test road condition solution for the existing tire pressure monitoring system;

[0023] Figure 2 This is a data statistics flow chart for the second test road condition solution for the existing tire pressure monitoring system;

[0024] Figure 3 This is a flow chart of the road condition statistics method for testing the tire pressure monitoring system. DETAILED DESCRIPTION

[0025] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below with reference to specific illustrations.

[0026] In response to the technical problem of low reliability of road conditions in existing tire pressure monitoring systems, this solution provides a road condition statistics method for TPMS sensitivity testing based on this technical problem. It determines the current road conditions through vehicle speed information and pre-stored calibration data in the CAN bus recorder, and interacts with the driver, waiting for the driver's confirmation before marking, greatly improving the reliability of subsequent data screening.

[0027] The road condition statistics method for TPMS sensitivity testing provided by this solution is:

[0028] Multiple sets of calibration data corresponding to the vehicle speed range of each road condition are pre-stored in the CAN bus recorder; through secondary development, the entire work process logic is integrated into one module.

[0029] Then, connect the recorder to the vehicle body to obtain the current vehicle speed;

[0030] Here, the recorder is connected to the vehicle's OBD port to obtain current vehicle speed information via CAN bus messages. Existing CAN bus recorders can directly create and record messages after connecting to the vehicle via OBD, including filtering for desired IDs. To reduce the amount of recorded data, this can be done by filtering to only view sensor and speed type messages. Message byte-level information can be parsed and calculated (refer to the definitions in the actual vehicle manufacturer's communication matrix for details).

[0031] The working principle and process of obtaining the current vehicle speed information through the message in the CAN bus are prior art and well known to those skilled in the art, so they will not be described in detail here.

[0032] In addition, considering that the condition of the test vehicle may not be stable, if the vehicle speed cannot be analyzed, the second solution can be used to obtain the vehicle speed, that is, the vehicle speed can be calculated through GPS positioning.

[0033] First, calculate the distance traveled by the vehicle through GPS positioning, and then use the formula speed = distance / time to get the current speed.

[0034] The current vehicle speed is obtained and compared with the corresponding vehicle speed ranges in multiple sets of calibration data pre-stored in the CAN bus recorder to determine the current road section.

[0035] The CAN bus recorder uses multiple sets of calibration data pre-stored inside to monitor the vehicle speed in real time. The algorithm compares the vehicle speed with the multiple sets of calibration data. If the vehicle speed meets the range index of a set of calibration data, the road condition is determined and a confirmation signal is generated.

[0036] The road condition after determination is formed into a confirmation signal and human-computer interaction is carried out with the driver, and the signal is marked and stored after the driver's confirmation.

[0037] Here, you can confirm the marking and storage by pressing a physical button; you can also trigger the confirmation of marking and storage through integrated voice recognition.

[0038] Here, it is preferred to inform the driver of the road condition after determination through voice prompts. During driving, the driver needs to concentrate on the road conditions to avoid accidents. Therefore, the use of voice prompts can enable the driver to obtain judgment information while watching the road, greatly ensuring the driver's driving safety.

[0039] If the driver confirms the road section determined by the current CAN bus recorder, the current vehicle speed and road conditions will be marked to form new calibration data; if the driver does not confirm the road section determined by the current CAN bus recorder, the current road section will be defaulted to the road section described in the last label, and the driver will be prompted to "pay attention to the speed."

[0040] Based on the TPMS sensitivity test road condition statistics method composed of the above schemes, a TPMS sensitivity test road condition statistics system is also provided.

[0041] The TPMS sensitivity test road condition statistics system includes: database unit, speed measurement unit, human-computer interaction unit, and marking unit;

[0042] The database unit includes multiple sets of data corresponding to various road conditions and vehicle speed ranges;

[0043] The speed measuring unit is used to measure the current vehicle speed and compare the obtained vehicle speed with multiple sets of data in the database unit to form confirmation information after confirming the road conditions corresponding to the current speed measurement.

[0044] The formed confirmation information is passed through the human-computer interaction unit to allow the driver to make a judgment on it. After the judgment, the road condition and the corresponding vehicle speed data are marked by the marking unit to form new calibration data.

[0045] If the driver confirms the road condition he has determined, the marking unit will mark the current vehicle speed and road condition to form new calibration data; if the driver does not confirm the currently determined road section, the current road section will be defaulted to the section described in the last label, and the driver will be prompted to "pay attention to the speed."

[0046] The following example illustrates the working process of this solution when in use; it should be noted that the following content is only a specific application example of this solution and does not constitute a limitation on this solution.

[0047] First, four sets of labels corresponding to the vehicle speed range for each road condition are pre-stored in the CAN bus recorder, as follows:

[0048] When the vehicle speed reaches 80-120 km / h, the road condition is high speed, and label 1 can be set as "Highspeed";

[0049] When the vehicle speed reaches 40-80 km / h, the road condition is urban, so label 2 can be set as "City";

[0050] When the vehicle speed reaches 25-40 km / h, the road condition is a rural road, and label 3 can be set as "Township";

[0051] When the vehicle speed reaches 0-25 km / h, the road condition is an idling section, and label 4 can be set as "idling";

[0052] The average speed of vehicles traveling on different road sections is different, and the interference is greater in urban areas with heavy traffic and complex roads.

[0053] When passing a traffic light or making a temporary stop, the vehicle speed may be lower than 25 km / h. Most sensors on the market do not send data when the speed is lower than 25 km / h. At this time, we cannot determine that it has lost data. Therefore, an idling section is required. The speed limit on highways is 80-120 km / h, and in urban areas it is 40-80 km / h. The speed on rural roads should be slower. Different vehicle speeds also have certain differences in the sensor's reception. Different road sections also affect the reception of sensor data.

[0054] Then, the current vehicle speed is tested via a CAN bus recorder or GPS.

[0055] When the vehicle speed is greater than 2s, the CAN bus recorder starts working;

[0056] After 1 minute, the current vehicle speed is tested through the CAN bus recorder or GPS, and the tested speed is compared one by one with multiple sets of calibration data pre-stored in the CAN bus recorder to confirm the road conditions corresponding to the current speed, and a voice prompt is given to the driver, and there is 10 seconds for trigger confirmation.

[0057] By adopting 10 seconds as a reaction time for confirmation, the driver may not be able to respond in time after receiving the command, and the vehicle speed changes quickly after starting, so repeated confirmation should be avoided.

[0058] The waiting time here is not limited to 10s and can be determined according to actual conditions.

[0059] If the vehicle speed is less than 25s and lasts for more than 10s, a voice reminder will be given asking "Are you idling on the current road section?" The maximum waiting time is 10s to trigger confirmation.

[0060] If the confirmation key is pressed, the label "ldling" (idling section) is printed; if the confirmation key is not pressed, the warning flag Warnflag+1 is reported.

[0061] If 25s < vehicle speed < 40s and the delay lasts for more than 10s, a voice reminder will be displayed: "Is the current road section a rural road?" Wait for a maximum of 10 seconds to trigger confirmation.

[0062] If the confirmation key is pressed, the label "Township" is printed. If the confirmation key is not pressed, the warning flag is Warnflag+1.

[0063] If 40s < vehicle speed < 80s and the speed lasts for more than 10s, a voice reminder will be displayed: "Is the current road section in the urban area?" Wait for a maximum of 10 seconds to trigger confirmation.

[0064] If the confirmation key is pressed, the label "City" is printed. If the confirmation key is not pressed, the warning flag is Warnflag+1.

[0065] If the speed is less than 80s and less than 120s and lasts for more than 10s, a voice reminder will be displayed: "Is the current road section high-speed?" Wait for a maximum of 10 seconds to trigger confirmation.

[0066] If the confirmation key is pressed, the label "Highspeed" is printed. If the confirmation key is not pressed, the warning flag is Warnflag+1.

[0067] If the vehicle speed = 0 and lasts for 10 minutes, the auxiliary function ends and the system enters sleep mode.

[0068] When the alarm flag is +1, the time is delayed by 1s. When it reaches a multiple of 100, an alarm will be issued and a voice reminder will be given: "Please pay attention to your speed."

[0069] This design is designed so that if the driver's current speed is inconsistent with the current tag for a long time, the data reliability will be affected. However, the alarm frequency should not be too frequent. Therefore, when the speed is inconsistent with the tag range, an alarm is set every 100 seconds to remind the driver to slow down or speed up. To exit this alarm, the corresponding tag can be replaced, which greatly improves the reliability of data collection.

[0070] The TPMS sensitivity test road condition statistics method and system composed of the above-mentioned scheme uses the recorder to assist in recording road sections, driving reminders and other functions. The final judgment is made by the driver, and the data of the corresponding road sections is labeled. This saves labor costs while improving the reliability of subsequent data screening.

[0071] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the foregoing embodiments. The foregoing embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A road condition statistics method for TPMS sensitivity testing, characterized in that: include: First, multiple sets of calibration data are pre-stored in the CAN bus recorder after classifying the speed range corresponding to each road condition; Next, connect the CAN bus recorder to the OBD port of the vehicle body, directly create and record messages, and obtain the current vehicle speed information through the messages in the CAN bus; Finally, after obtaining the current vehicle speed through the CAN bus recorder, the vehicle speed is monitored in real time and cyclically using multiple sets of calibration data pre-stored inside the CAN bus recorder. The vehicle speed is compared with multiple sets of calibration data through an algorithm. If the vehicle speed meets the range index of a certain set of calibration data, the road condition is determined and a confirmation signal is generated. The road condition is then communicated to the driver through human-computer interaction, and the data is marked and stored after confirmation.

2. A road condition statistics method for TPMS sensitivity testing according to claim 1, characterized in that: If the driver confirms the road section determined by the current CAN bus recorder, the current vehicle speed and road conditions will be marked to form new calibration data; if the driver does not confirm the road section determined by the current CAN bus recorder, the current road section will be defaulted to the road section described in the last label.

3. A road condition statistics method for TPMS sensitivity testing according to claim 1, characterized in that: After collecting the vehicle speed information, multiple sets of calibrated data are directly called to conduct real-time cyclic monitoring of the vehicle speed. If the vehicle speed meets the range of one set of calibrated data, a confirmation signal is generated to interact with the driver.

4. A TPMS sensitivity test road condition statistics system, characterized in that: Includes database unit, speed measurement unit, human-computer interaction unit, and marking unit; The database unit includes multiple sets of data corresponding to various road conditions and vehicle speed ranges; The speed measuring unit is used to measure the current vehicle speed and compare the acquired vehicle speed with multiple sets of data in the database unit. The road condition corresponding to the vehicle speed is judged by the driver through the human-computer interaction unit. After the judgment, the road condition and the corresponding vehicle speed data are marked by the marking unit to form new calibration data.

5. A TPMS sensitivity test road condition statistics system according to claim 4, characterized in that: The road condition corresponding to the vehicle speed measured by the speed measuring unit is judged by the driver through the human-computer interaction unit. If the driver confirms the road condition, the current vehicle speed and road condition are marked by the marking unit to form new calibration data; if the driver does not confirm the currently determined road section, the current road section is defaulted to the section described by the last label.

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