Exterior warning evaluation method and system for vehicle with electronic guide rubber wheel system

Abstract

The invention relates to the technical field of electronic guide rubber wheel system vehicles, in particular to an electronic guide rubber wheel system vehicle exterior warning evaluation method and system, and the method comprises the following steps: setting a test condition corresponding to each exterior warning test type according to the determined exterior warning test type corresponding to the electronic guide rubber wheel system vehicle; according to a test condition corresponding to each out-of-vehicle warning test type, establishing a corresponding test scene and executing a corresponding test method; in the execution process of the test method corresponding to each out-of-vehicle warning test type, collecting test warning result data corresponding to each out-of-vehicle warning test type; according to the test warning result data, generating vehicle exterior warning evaluation result data corresponding to the corresponding electronic guide rubber wheel system vehicle; and according to the formed vehicle exterior warning evaluation result data, judging whether the vehicle exterior warning of the corresponding vehicle with the electronic guide rubber wheel system meets the requirement or not.

Description

Technical Field

[0001] The invention relates to the technical field of electronically guided rubber-wheel system vehicles, and in particular to an off-vehicle warning evaluation method and system for electronically guided rubber-wheel system vehicles. Background Art

[0002] Zhigui (electronically guided rubber-tyred vehicle system) is a new urban public transportation system first proposed by China. It has the characteristics of both rail transportation and road automobile transportation. It uses rubber wheels for bearing and does not rely on steel rails. It uses "virtual track following control" technology and sensors to identify virtual track lines on the road surface to achieve automatic guidance.

[0003] Electronically guided rubber-tyred system vehicles are a new type of urban public transportation system, and they have the dual characteristics of rail transit and road automobile transportation. Domestic manufacturers use rail transit IEC standards for design and manufacturing, and when exporting to foreign countries, testing agencies, laboratories, and transportation bureaus use road automobile ECE standards for testing and evaluation. Therefore, the existing rail transit test methods and road automobile test methods cannot meet the evaluation and testing needs of China's electronically guided rubber-tyred system vehicles exported overseas, making it difficult to conduct comprehensive testing and evaluation on them.

[0004] Based on this, there is an urgent need for an electronic guide rubber-tyre system vehicle exterior warning evaluation method and system, which can fill the gap in the existing technology for the lack of electronic guide rubber-tyre system vehicle exterior warning evaluation method and achieve accurate and reliable evaluation of electronic guide rubber-tyre system vehicle exterior warning. Summary of the invention

[0005] One of the purposes of the present invention is to provide a method and system for evaluating the vehicle exterior warning of an electronic guided rubber-tyred system, which can fill the gap in the prior art in the lack of a method for evaluating the vehicle exterior warning of an electronic guided rubber-tyred system, and realize accurate and reliable evaluation of the vehicle exterior warning of an electronic guided rubber-tyred system.

[0006] In order to achieve the above object, a vehicle exterior warning evaluation method for an electronically guided rubber tire system is provided, comprising the following steps:

[0007] S1. According to the determined vehicle exterior warning test type corresponding to the vehicle with the electronic guided rubber-tyre system, the test conditions corresponding to each vehicle exterior warning test type are set, wherein the test conditions include a test environment and a corresponding test method;

[0008] S2. According to the test conditions corresponding to each vehicle exterior warning test type, the corresponding test scenario is constructed and the corresponding test method is executed;

[0009] S3. During the execution of the test method corresponding to each vehicle exterior warning test type, the test warning result data corresponding to each vehicle exterior warning test type is collected;

[0010] S4, generating corresponding vehicle exterior warning evaluation result data of the corresponding electronic guided rubber tire system vehicle based on the preset vehicle exterior warning evaluation strategy according to the test warning result data corresponding to each vehicle exterior warning test type;

[0011] S5. According to the formed vehicle exterior warning evaluation result data, determine whether the vehicle exterior warning of the corresponding electronic guided rubber wheel system vehicle meets the requirements.

[0012] Technical principles and effects of this solution: In this solution, according to the type of vehicle exterior warning test corresponding to the electronic guided rubber-wheel system vehicle, the test conditions corresponding to each vehicle exterior warning test type are set. These test conditions include the test environment (such as noise level, weather conditions, traffic density, etc.) and the corresponding test methods. By clarifying different types of vehicle exterior warning tests, it is ensured that each test scenario can reflect the actual situation and improve the representativeness of the test results.

[0013] The second step is to build the corresponding test scenarios and execute the corresponding test methods according to the test conditions corresponding to each type of off-vehicle warning test. By building real test scenarios, it is ensured that the test process can simulate actual usage and enhance the validity and reliability of the test results.

[0014] Then, during the execution of the test methods corresponding to each type of external vehicle warning test, the test warning result data corresponding to each type of external vehicle warning test is collected. Through accurate data collection, it is ensured that the results of each test link have a basis to rely on, providing reliable data support for subsequent analysis.

[0015] Afterwards, the collected data and the preset evaluation strategy are combined to realize the reliable conversion of the evaluation results, ensure the objectivity and fairness of the evaluation process, and judge whether the corresponding vehicle warning of the electronic guided rubber tire system vehicle meets the requirements according to the formed vehicle warning evaluation result data. If the evaluation results show that some aspects are not up to standard, improvements are required. The final judgment result is directly related to the safety and compliance of the vehicle, ensuring that the vehicle meets all relevant standards and regulations before being put into use.

[0016] Currently, there is a lack of standardized evaluation methods for the off-board warning systems of vehicles with electronic guided rubber-tyred systems on the market, resulting in differences in safety and compliance between products from different manufacturers. By introducing a systematic evaluation method, it is ensured that each test link has clear standards and specifications, providing a unified evaluation benchmark for the entire industry. By conducting systematic tests on different types of off-board warnings, it is ensured that each aspect is fully evaluated to avoid possible deviations in a single test. That is, it can fill the gap in the existing technology for the lack of evaluation methods for off-board warnings of vehicles with electronic guided rubber-tyred systems, and achieve accurate and reliable evaluation of off-board warnings of vehicles with electronic guided rubber-tyred systems.

[0017] Furthermore, the vehicle exterior warning test types include a long-distance vehicle exterior warning type, a short-distance vehicle exterior warning type, and a driver's ear warning type.

[0018] Beneficial effects: In this solution, the test types cover various warning types from long distance to close distance and next to the driver's ear, ensuring that the warning information in each scenario can be effectively transmitted, avoiding the blind spots that may exist in a single test. By combining the three warning types of long distance, close distance and next to the driver's ear, it is ensured that the vehicle can effectively transmit warning information in any situation, reducing the risk of accidents.

[0019] Furthermore, the test methods corresponding to each type of vehicle exterior warning include:

[0020] Before the test begins, the sound level meter is calibrated using a sound calibrator;

[0021] After the sound level meter is calibrated, the background noise of the test site is measured by the sound level meter, and it is determined whether the difference between the measured result and the horn warning sound of the test sample vehicle is less than a first preset difference; the test sample vehicle is a corresponding electronically guided rubber-tyred system vehicle;

[0022] If so, use environmental measurement equipment to collect environmental data of the test site, and use a voltmeter to measure the horn voltage value of the test sample vehicle to determine whether the measured horn voltage is greater than the horn working voltage. If so, start the corresponding test. If not, it is determined that the horn of the test sample vehicle does not meet the standard.

[0023] Beneficial effects: In this solution, the accuracy of the measurement results is ensured by the sound calibrator to avoid equipment errors. By measuring the background noise and judging the difference, it is ensured that the noise level of the test environment will not affect the results. By collecting environmental data, the impact of factors such as temperature and humidity on the performance of the horn is considered to ensure that the test results reflect actual usage. By measuring the horn voltage, it is ensured that the horn operates in normal working conditions to avoid misjudgments caused by abnormal voltage. The standardization of the corresponding test steps is achieved to ensure the accuracy and reliability of the test results, and significantly improve the resource utilization efficiency, safety and compliance of the test. This provides a strong guarantee for the safe operation of vehicles with electronic guided rubber tire systems, ensuring that they can effectively transmit off-vehicle warning information under various working conditions, and improving the safety level and compliance of the entire industry.

[0024] Furthermore, the test method corresponding to the long-distance external vehicle warning type also includes:

[0025] When starting the long-distance test, the microphone of the sound level meter is placed at the longitudinal plane position of the vehicle center of the test vehicle, maintaining a first distance value from the front end of the test vehicle and a second distance value from the ground, and continuously measuring within a first time period, collecting the first measurement data corresponding to the corresponding sound level meter, and collecting the first reception data corresponding to the tester at the same time.

[0026] Beneficial effects: By placing the microphone in the longitudinal plane position of the center of the vehicle and maintaining a specific distance, the long-distance warning sound propagation path in actual use is simulated; through continuous measurement and multi-dimensional data collection, a stable and reliable evaluation basis is provided. This not only improves the accuracy of the test, but also enhances the reliability of the test, optimizes the user experience, and promotes technological innovation. Continuous measurement avoids the accidental errors that may exist in a single measurement and ensures the stability and reliability of the data.

[0027] This setting simulates the propagation path of long-distance warning sounds in actual traffic environments, ensuring that the test conditions are close to actual usage and enhancing the reliability of the test results. At the same time, the first measurement data of the sound level meter and the first reception data of the tester are collected, providing both objective and subjective evaluation bases and enhancing the comprehensiveness of the evaluation.

[0028] Furthermore, the test method corresponding to the close distance vehicle warning type also includes:

[0029] At the beginning of the close-range test, the microphone of the sound level meter is placed at the longitudinal plane position of the vehicle center of the test vehicle, maintaining a third distance value from the test vehicle and within the first distance range from the ground, and corresponding measurements are performed at each preset distance point, and second measurement data corresponding to the sound level meter at each preset distance point is collected, and second reception data corresponding to the tester is collected at the same time.

[0030] Beneficial Effect: By placing the microphone in the longitudinal plane position at the center of the vehicle and maintaining a specific distance range, it is ensured that the measurement results can represent the sound intensity received by pedestrians and other vehicles at close range in actual use, thereby improving the representativeness of the test results.

[0031] Furthermore, the test method corresponding to the driver's ear warning type also includes:

[0032] When starting the driver's ear test, all doors of the test vehicle are closed, multiple and continuous measurements are performed next to the driver's ear in the cab, and corresponding third measurement data are collected, while third reception data corresponding to the tester is collected.

[0033] Furthermore, the preset vehicle exterior warning evaluation strategy includes:

[0034] According to the collected first measurement data, second measurement data and third measurement data, the measurement data with the largest measurement value among the first measurement data, the second measurement data and the third measurement data are selected as the first representative value corresponding to the long-distance test, the second representative value corresponding to the close-distance test, and the third representative value corresponding to the driver's ear test, respectively;

[0035] According to the collected first received data, second received data and third received data, the received data corresponding to the tester in each test is converted into a subjective evaluation index of the tester in the corresponding test, wherein the subjective evaluation index includes a first subjective evaluation index corresponding to the long-distance test, a second subjective evaluation index corresponding to the close-distance test, and a third subjective evaluation index corresponding to the driver's ear test;

[0036] According to the first representative value, the second representative value, the third representative value, the first subjective evaluation index, the second subjective evaluation index and the third subjective evaluation index, a corresponding evaluation index set I={I 1 ,I 2 ,I 3 ,…,I n}, n = 6;

[0037] According to the formed evaluation index set and the initial weight value of each data in the preset evaluation index set, each data in the evaluation index set is compared in pairs, the corresponding data comparison value is calculated, and a comparison judgment matrix A is established according to the matrix scale;

[0038] According to the corresponding comparison judgment matrix, each data in the comparison judgment matrix is ​​normalized, and the ultimate weight value corresponding to each data in the evaluation index set is calculated;

[0039] Based on each data in each evaluation index set and the ultimate weight value corresponding to each data, the external vehicle warning evaluation result data corresponding to the test sample vehicle is calculated.

[0040] Beneficial effects: Integrate multiple key indicators into one evaluation indicator set to ensure that the evaluation process comprehensively covers all aspects of performance. Form a structured evaluation indicator set to facilitate subsequent data processing and analysis. Through pairwise comparison, convert qualitative evaluation indicators into quantitative data to ensure the scientificity and objectivity of the evaluation process. Use the matrix scaling method to ensure the standardization and consistency of the comparison results, improve the reliability of the evaluation, and eliminate the dimensional differences between different indicators through normalization to ensure that the weight distribution of each indicator is reasonable. By calculating the ultimate weight value, ensure that the weight of each indicator reflects its importance in the overall evaluation, and improve the scientificity of the evaluation. Select the maximum measurement value as the representative value to ensure that the evaluation can reflect the most extreme situation and avoid misjudgment caused by individual outliers. Combining objective measurement data and subjective evaluation indicators, it provides a more comprehensive evaluation basis and enhances the accuracy of the evaluation.

[0041] Furthermore, the preset vehicle exterior warning evaluation strategy includes:

[0042] According to the collected first measurement data, second measurement data and third measurement data, the sub-data corresponding to each measurement data are arranged in descending order of measurement value to obtain three measurement data arrangement tables respectively;

[0043] According to the data in the three measurement data arrangement tables, the top three sub-data are selected, and the corresponding data average is calculated based on the selected sub-data, and the corresponding data average is used as the representative value of the corresponding test;

[0044] According to the representative values ​​corresponding to each test and the corresponding preset weights, based on the preset evaluation result calculation formula, the vehicle exterior warning evaluation result data corresponding to the test sample vehicle is calculated;

[0045] The calculation formula for the evaluation result is:

[0046]

[0047] Where, P is the evaluation result of the external warning, D 1 is the representative value corresponding to the long-distance test, D 2 is the second representative value corresponding to the close distance test, D 3 is the third representative value corresponding to the driver's ear test; W 1 ,W 2 ,W 3 are the corresponding preset weights respectively.

[0048] Beneficial effects: By sorting the sub-data by measured value, it is ensured that the maximum value and other high values ​​can be identified, thus better reflecting potential extreme situations. By selecting the top three sub-data and calculating the average value, the possible contingency of a single maximum value is avoided, and the stability and reliability of the results are improved. Combining the representative values ​​of the three tests of long distance, close distance and driver's ear provides a more comprehensive evaluation basis and enhances the accuracy of the evaluation.

[0049] The present invention also provides an electronic guide rubber-tyre system vehicle exterior warning evaluation system, which uses the above-mentioned electronic guide rubber-tyre system vehicle exterior warning evaluation method. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a flow chart of the vehicle exterior warning evaluation method of the electronic guided rubber tire system in the first embodiment of the present invention. DETAILED DESCRIPTION

[0051] The following is further described in detail through specific implementation methods:

[0052] Embodiment 1

[0053] A vehicle exterior warning evaluation method for an electronically guided rubber tire system is basically as follows Figure 1 As shown, the following steps are included:

[0054] S1. According to the vehicle exterior warning test type corresponding to the electronic guided rubber-tyred system vehicle, the test conditions corresponding to each vehicle exterior warning test type are set, and the test conditions include the test environment and the corresponding test method; the vehicle exterior warning test type includes the long-distance vehicle exterior warning type, the short-distance vehicle exterior warning type, and the driver's ear warning type. In this embodiment, the test environment corresponding to the short-distance test is to conduct the test in an open field with a horizontal angle of less than 1°, paved with cement or asphalt, and without obstacles within a radius of 50m, and the test is carried out on a sunny or cloudy day, and shall not be carried out on rainy or snowy days.

[0055] The test environment corresponding to the driver's ear and long-distance tests is to conduct the test in an open area with a horizontal angle of less than 1°, paved with cement or asphalt, and without obstacles within a radius of 100m; and it must be conducted on sunny or cloudy days, and not on rainy or snowy days.

[0056] S2. According to the test conditions corresponding to each vehicle exterior warning test type, the corresponding test scenario is constructed and the corresponding test method is executed;

[0057] S3. During the execution of the test method corresponding to each vehicle exterior warning test type, the test warning result data corresponding to each vehicle exterior warning test type is collected;

[0058] The test methods corresponding to each type of vehicle exterior warning include:

[0059] Before the test begins, the sound level meter is calibrated by a sound calibrator; in this embodiment, the sound calibrator adopts a 94dB (A) sound calibrator to ensure that the measurement result of the sound level meter is between 93.90 and 94.10dB (A), wherein the sound level meter is a first-level accuracy sound level meter in accordance with GB / T3785.1, and a fast time constant "F" is used for measurement, and the total sound pressure level is measured using the "A" metering gear, and the reference sound pressure is 20μPa.

[0060] After the sound level meter is calibrated, the background noise of the test site is measured by the sound level meter, and it is determined whether the difference between the measured result and the horn warning sound of the test sample vehicle is less than a first preset difference; the test sample vehicle is a corresponding electronically guided rubber-tyred system vehicle;

[0061] If yes, then use the environmental measurement equipment to collect the environmental data of the test site, and use the voltmeter to measure the horn voltage value of the test sample car to determine whether the measured horn voltage is greater than the horn working voltage. If yes, start the corresponding test. If not, it is determined that the horn of the test sample car does not meet the standard. In this embodiment, the environmental data of the corresponding test site should be that the ambient temperature should be 18°C ​​to 28°C, the humidity should be 20 to 80%, the atmospheric pressure should be 90kpa to 105kpa, and the wind speed should be ≤5m / s. If not, the test should be delayed.

[0062] The test method corresponding to the long-distance vehicle warning type also includes:

[0063] At the beginning of the long-distance test, the microphone of the sound level meter is placed at the longitudinal plane position of the vehicle center of the test vehicle, maintaining a first distance value from the front end of the test vehicle and a second distance value from the ground, and continuously measuring within a first time period, collecting the first measurement data corresponding to the corresponding sound level meter, and collecting the first receiving data corresponding to the tester at the same time. For example, the microphone of the sound level meter is placed at a longitudinal plane position close to the center of the vehicle, 100m away from the front end of the vehicle, 1.2m away from the ground, and continuously measuring for 3s.

[0064] The test method corresponding to the close distance vehicle warning type also includes:

[0065] At the beginning of the close-range test, the microphone of the sound level meter is placed at the longitudinal plane position of the vehicle center of the test vehicle, maintaining a third distance value from the test vehicle and a first distance range from the ground, and performing corresponding measurements at each preset distance point, and collecting the second measurement data corresponding to the sound level meter at each preset distance point, and collecting the second receiving data corresponding to the tester at the same time. For example, the microphone of the sound level meter is placed at a longitudinal plane position close to the center of the vehicle, 7m away from the speaker, 0.5m to 1.5m away from the ground, and a measurement is performed every 0.1m.

[0066] The test method corresponding to the driver's ear warning type also includes:

[0067] When starting the driver's ear test, all doors of the test vehicle are closed, multiple and continuous measurements are performed at the driver's ear in the cab, and corresponding third measurement data are collected, while the third received data corresponding to the tester is collected. In this embodiment, the object measured by the sound level meter is the warning signal issued by the warning device on the test vehicle.

[0068] S4, generating corresponding vehicle exterior warning evaluation result data of the corresponding electronic guided rubber tire system vehicle based on the preset vehicle exterior warning evaluation strategy according to the test warning result data corresponding to each vehicle exterior warning test type;

[0069] The preset off-vehicle warning evaluation strategy includes:

[0070] According to the collected first measurement data, second measurement data and third measurement data, the measurement data with the largest measurement value among the first measurement data, the second measurement data and the third measurement data are selected as the first representative value corresponding to the long-distance test, the second representative value corresponding to the close-distance test, and the third representative value corresponding to the driver's ear test, respectively;

[0071] According to the collected first received data, second received data and third received data, the received data corresponding to the tester in each test is converted into a subjective evaluation index of the tester in the corresponding test, wherein the subjective evaluation index includes a first subjective evaluation index corresponding to the long-distance test, a second subjective evaluation index corresponding to the close-distance test, and a third subjective evaluation index corresponding to the driver's ear test;

[0072] According to the first representative value, the second representative value, the third representative value, the first subjective evaluation index, the second subjective evaluation index and the third subjective evaluation index, a corresponding evaluation index set I={I 1 ,I 2 ,I 3 ,…,I n}, n = 6;

[0073] According to the formed evaluation index set and the initial weight value of each data in the preset evaluation index set, each data in the evaluation index set is compared in pairs to calculate the corresponding data comparison value. And establish the comparison judgment matrix A according to the matrix scale;

[0074] According to the corresponding comparison judgment matrix, each data in the comparison judgment matrix is ​​normalized, and the ultimate weight value corresponding to each data in the evaluation index set is calculated;

[0075] Based on each data in each evaluation index set and the ultimate weight value corresponding to each data, the external vehicle warning evaluation result data corresponding to the test sample vehicle is calculated.

[0076] S5. According to the formed vehicle exterior warning evaluation result data, determine whether the vehicle exterior warning of the corresponding electronic guided rubber wheel system vehicle meets the requirements.

[0077] This embodiment also discloses an electronic guide rubber-tyre system vehicle exterior warning evaluation system, which uses the above-mentioned electronic guide rubber-tyre system vehicle exterior warning evaluation method.

[0078] Embodiment 2

[0079] Compared with the first embodiment, the present embodiment is different in that: the preset vehicle exterior warning evaluation strategy includes:

[0080] According to the collected first measurement data, second measurement data and third measurement data, the sub-data corresponding to each measurement data are arranged in descending order of measurement value to obtain three measurement data arrangement tables respectively;

[0081] According to the data in the three measurement data arrangement tables, the top three sub-data are selected, and the corresponding data average is calculated based on the selected sub-data, and the corresponding data average is used as the representative value of the corresponding test;

[0082] According to the representative values ​​corresponding to each test and the corresponding preset weights, based on the preset evaluation result calculation formula, the vehicle exterior warning evaluation result data corresponding to the test sample vehicle is calculated;

[0083] The calculation formula for the evaluation result is:

[0084]

[0085] Where, P is the evaluation result of the external warning, D 1 is the representative value corresponding to the long-distance test, D 2 is the second representative value corresponding to the close distance test, D 3is the third representative value corresponding to the driver's ear test; W 1 ,W 2 ,W 3 are the corresponding preset weights respectively.

[0086] Embodiment 3

[0087] Compared with the first and second embodiments, the present embodiment is different in that: the vehicle to be tested will also be subjected to a dynamic test, that is, the vehicle to be tested will be kept moving in the direction of the sound level meter, wherein the warning signal of the warning device on the vehicle to be tested is dynamically changed; during the test, a corresponding obstacle is set at the location of the sound level meter. The vehicle to be tested is provided with an environmental perception module, a data acquisition module and a dynamic adjustment module;

[0088] The environment perception module is used to detect whether there is an obstacle in front of the vehicle through a radar installed on the test vehicle, and to confirm it again through a camera;

[0089] The data acquisition module is used to collect the distance of the obstacle, environmental noise data, vehicle speed, weather conditions and the relative speed between the obstacle and the test vehicle when it is determined to be an obstacle;

[0090] The dynamic adjustment module is used to input the collected obstacle distance, environmental noise data, vehicle speed, weather conditions and the relative speed between the obstacle and the test sample vehicle as input data into a preset weight adjustment model, and output the volume weight value of the warning signal corresponding to the warning device at the current moment; in this embodiment, the weight adjustment model is constructed using the existing BP neural network technology.

[0091] The volume control module is used to determine the volume output value at the current moment according to the volume weight value at the current moment and based on the preset basic volume value, and control the warning device to output the corresponding volume output value.

[0092] In this embodiment, when the volume output value at each corresponding moment is determined, the output frequency of the warning device is also adjusted according to the distance of the obstacle at the current moment. Different output frequencies correspond to different stages of the distance of the obstacle. The closer the distance, the higher the output frequency. In a specific test, the output volume and output frequency of the warning signal of the warning device on the test sample vehicle are adjusted by detecting the obstacle in front of the test sample vehicle. Through dynamic tests, the situation where the vehicle encounters obstacles during actual driving is simulated to ensure that the test conditions are close to the actual use situation. The dynamically changing warning signal can better reflect the actual warning effect of the vehicle at different speeds and distances, thereby improving the accuracy of the evaluation. A variety of environmental parameters are collected to provide comprehensive data support for subsequent dynamic adjustments to ensure the scientificity and accuracy of the evaluation results. By dynamically adjusting according to the obstacle distance, weather conditions, vehicle speed and relative speed, it is ensured that the warning sound can be transmitted in a timely and effective manner under different circumstances, thereby improving safety and emergency response capabilities. In a high-noise environment and severe weather conditions, the warning volume and frequency are appropriately increased to ensure that the warning sound can penetrate background noise and obstacles, thereby enhancing the warning effect.

[0093] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is described too much here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field of the invention before the application date or priority date, can know all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A vehicle exterior warning evaluation method for an electronically guided rubber tire system, characterized in that: The following steps are involved: S1. According to the determined vehicle exterior warning test type corresponding to the vehicle with the electronic guided rubber-tyre system, the test conditions corresponding to each vehicle exterior warning test type are set, wherein the test conditions include a test environment and a corresponding test method; S2. According to the test conditions corresponding to each vehicle exterior warning test type, the corresponding test scenario is constructed and the corresponding test method is executed; S3. During the execution of the test method corresponding to each vehicle exterior warning test type, the test warning result data corresponding to each vehicle exterior warning test type is collected; S4, generating the corresponding vehicle exterior warning evaluation result data of the electronic guided rubber tire system vehicle according to the test warning result data corresponding to each vehicle exterior warning test type and based on the preset vehicle exterior warning evaluation strategy; S5. According to the formed vehicle exterior warning evaluation result data, determine whether the vehicle exterior warning of the corresponding electronic guided rubber wheel system vehicle meets the requirements.

2. The method for evaluating vehicle exterior warning of an electronically guided rubber tire system according to claim 1, characterized in that: The vehicle exterior warning test types include a long-distance vehicle exterior warning type, a short-distance vehicle exterior warning type, and a driver's ear warning type.

3. The method for evaluating vehicle exterior warning of an electronically guided rubber tire system according to claim 2 is characterized by: The test methods corresponding to each type of vehicle exterior warning include: Before the test begins, the sound level meter is calibrated using a sound calibrator; After the sound level meter is calibrated, the background noise of the test site is measured by the sound level meter, and it is determined whether the difference between the measured result and the horn warning sound of the test sample vehicle is less than a first preset difference; the test sample vehicle is a corresponding electronically guided rubber-tyred system vehicle; If so, use environmental measurement equipment to collect environmental data of the test site, and use a voltmeter to measure the horn voltage value of the test sample vehicle to determine whether the measured horn voltage is greater than the horn working voltage. If so, start the corresponding test. If not, it is determined that the horn of the test sample vehicle does not meet the standard.

4. The method for evaluating vehicle exterior warning of an electronically guided rubber tire system according to claim 3 is characterized in that: The test method corresponding to the long-distance vehicle warning type also includes: When starting the long-distance test, the microphone of the sound level meter is placed at the longitudinal plane position of the vehicle center of the test vehicle, maintaining a first distance value from the front end of the test vehicle and a second distance value from the ground, and continuously measuring within a first time period, collecting the first measurement data corresponding to the corresponding sound level meter, and collecting the first reception data corresponding to the tester at the same time.

5. The method for evaluating vehicle exterior warning of an electronically guided rubber tire system according to claim 4, characterized in that: The test method corresponding to the close distance vehicle warning type also includes: At the beginning of the close-range test, the microphone of the sound level meter is placed at the longitudinal plane position of the vehicle center of the test vehicle, maintaining a third distance value from the test vehicle and within the first distance range from the ground, and corresponding measurements are performed at each preset distance point, and second measurement data corresponding to the sound level meter at each preset distance point is collected, and second reception data corresponding to the tester is collected at the same time.

6. The method for evaluating vehicle exterior warning of an electronically guided rubber tire system according to claim 5, characterized in that: The test method corresponding to the driver's ear warning type also includes: When starting the driver's ear test, all doors of the test vehicle are closed, multiple and continuous measurements are performed next to the driver's ear in the cab, and corresponding third measurement data are collected, while third reception data corresponding to the tester is collected.

7. The method for evaluating vehicle exterior warning of an electronically guided rubber tire system according to claim 6, characterized in that: The preset off-vehicle warning evaluation strategy includes: According to the collected first measurement data, second measurement data and third measurement data, the measurement data with the largest measurement value among the first measurement data, the second measurement data and the third measurement data are selected as the first representative value corresponding to the long-distance test, the second representative value corresponding to the close-distance test, and the third representative value corresponding to the driver's ear test, respectively; According to the collected first received data, second received data and third received data, the received data corresponding to the tester in each test is converted into a subjective evaluation index of the tester in the corresponding test, wherein the subjective evaluation index includes a first subjective evaluation index corresponding to the long-distance test, a second subjective evaluation index corresponding to the close-distance test, and a third subjective evaluation index corresponding to the driver's ear test; According to the first representative value, the second representative value, the third representative value, the first subjective evaluation index, the second subjective evaluation index and the third subjective evaluation index, a corresponding evaluation index set I = {I1, I2, I3, ..., I n }, n = 6; According to the formed evaluation index set and the initial weight value of each data in the preset evaluation index set, each data in the evaluation index set is compared in pairs, the corresponding data comparison value is calculated, and a comparison judgment matrix A is established according to the matrix scale; According to the corresponding comparison judgment matrix, each data in the comparison judgment matrix is ​​normalized, and the ultimate weight value corresponding to each data in the evaluation index set is calculated; Based on each data in each evaluation index set and the ultimate weight value corresponding to each data, the external vehicle warning evaluation result data corresponding to the test sample vehicle is calculated.

8. The method for evaluating vehicle exterior warning of an electronically guided rubber tire system according to claim 6, characterized in that: The preset off-vehicle warning evaluation strategy includes: According to the collected first measurement data, second measurement data and third measurement data, the sub-data corresponding to each measurement data are arranged in descending order of measurement value to obtain three measurement data arrangement tables respectively; According to the data in the three measurement data arrangement tables, the top three sub-data are selected, and the corresponding data average is calculated based on the selected sub-data, and the corresponding data average is used as the representative value of the corresponding test; According to the representative values ​​corresponding to each test and the corresponding preset weights, based on the preset evaluation result calculation formula, the vehicle exterior warning evaluation result data corresponding to the test sample vehicle is calculated; The calculation formula for the evaluation result is: Wherein, P is the evaluation result data of the off-vehicle warning, D1 is the representative value corresponding to the long-distance test, D2 is the second representative value corresponding to the close-distance test, and D3 is the third representative value corresponding to the driver's ear test; W1, W2, and W3 are the corresponding preset weights.

9. An electronically guided rubber tire system vehicle exterior warning evaluation system, characterized in that: A vehicle exterior warning evaluation method for an electronic guided rubber tire system using any one of claims 1 to 8 above.

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