CN110553849A - Driving condition evaluation system and method - Google Patents
Driving condition evaluation system and method Download PDFInfo
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- CN110553849A CN110553849A CN201810555123.XA CN201810555123A CN110553849A CN 110553849 A CN110553849 A CN 110553849A CN 201810555123 A CN201810555123 A CN 201810555123A CN 110553849 A CN110553849 A CN 110553849A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
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Abstract
The invention relates to a driving condition evaluation system and an evaluation method. The system is provided with: the environment identification and division module is used for identifying and dividing the environment; the driving state information acquisition module is used for acquiring the driving state information of the vehicle; the test criterion expert system is used for establishing a knowledge base for expert knowledge of the performance of the engineering vehicle under a certain road condition, collecting actual driving data samples and calculating various indexes of the performance of the engineering vehicle according to the actual driving data samples; and the evaluation system module is used for verifying and analyzing the driving state information data acquired by the driving state information acquisition module according to the environment types divided by the environment identification and division module and various indexes of the vehicle performance calculated by the test criterion expert system, and judging whether the vehicle operation can meet the requirements in the environment. According to the invention, the quality of the driving state can be judged and the unreasonable driving state information can be automatically recorded.
Description
Technical Field
The invention relates to the field of engineering vehicle testing in the automobile industry, in particular to an evaluation system and an evaluation method capable of automatically judging the driving condition of a test vehicle under a certain road condition.
Background
in the debugging process of the engineering truck, an engineer is required to drive the engineering truck under a certain road condition to test the relevant performance. In the operation process, two main modes are provided: when the performance of the engineering truck is not in accordance with the requirements, an engineer can record vehicle state data in a current time interval, record a timestamp of the current time, take out all time period information of the vehicle in a test process after the test is finished, and take out the vehicle running state data which are not in accordance with the recorded timestamp.
for the first mode (an engineer records vehicle error information in a current time interval), currently, error data is captured from an automobile bus mainly through a collector, and when the engineer finds that a vehicle runs unreasonably, the collector needs to be triggered manually, so that entry of the error information is completed. For the second approach (recording the timestamp), the engineer only records the time of the current time, so as to perform the targeted query after the test is completed. In this process, two engineers are generally required to complete, one is responsible for driving the engineering vehicle, and the other is responsible for triggering the collector or recording data.
Accordingly, the two current ways of recording the error data of the engineering vehicle have deficiencies in efficiency and have room for improvement, so that an evaluation system which can improve the working efficiency of engineers, can automatically identify and has a function of automatically recording the error data is urgently needed.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide an automatic assessment system for operating conditions of a mobile machinery shop, which is based on environmental recognition and testing criteria, and which can replace engineers to determine the degree of goodness of the driving status in tests such as calibration and testing of the mobile machinery shop, and automatically record unreasonable driving status information at the current time for later-period experimental analysis.
The driving condition evaluation system of the present invention is characterized by comprising:
the environment identification and division module is used for identifying and dividing the environment;
The driving state information acquisition module is used for acquiring the driving state information of the vehicle;
The test criterion expert system is used for establishing a knowledge base for expert knowledge of the performance of the engineering vehicle under a certain road condition, collecting actual driving data samples and calculating various indexes of the performance of the engineering vehicle according to the actual driving data samples;
and the evaluation system module is used for verifying and analyzing the driving state information data acquired by the driving state information acquisition module according to the environment types divided by the environment identification and division module and various indexes of the vehicle performance calculated by the test criterion expert system, and judging whether the vehicle operation can meet the requirements in the environment.
optionally, the method further comprises:
And the information recording module is used for recording fault information output by the evaluation system module under the condition that the vehicle running cannot meet the requirement under the environment.
Optionally, the environment identification partitioning module includes:
an environment 3D modeling module for 3D modeling an environment;
A feature extraction sub-module for feature extraction of output from the ambient 3D modeling module;
A sample submodule for providing a common test road model sample;
a feature matching submodule for performing feature matching according to the output of the feature extraction submodule and the sample submodule; and
and the environment type division submodule is used for dividing the environment into types according to the matching result of the characteristic matching submodule.
optionally, the driving state information acquisition module is configured to acquire driving state data from an OBD interface of the vehicle.
Optionally, the evaluation system module performs the determination by card verification.
The driving condition evaluation method of the present invention is characterized by comprising:
An environment identification and division step, namely identifying and dividing the environment;
A driving state information acquisition step of acquiring driving state information of a vehicle;
The test criterion expert method is used for establishing a knowledge base for expert knowledge of the performance of the engineering vehicle under a certain road condition, collecting actual driving data samples and calculating various indexes of the performance of the engineering vehicle according to the actual driving data samples;
And the evaluation method step is used for verifying and analyzing the driving state information data collected in the driving state information collection step according to the environment types divided in the environment identification and division step and various indexes of the vehicle performance calculated by the test criterion expert method, and judging whether the vehicle can meet the requirements in the environment.
optionally, the method further comprises:
And an information recording step of recording failure information output by the evaluation method step in a case where it is judged that the vehicle operation cannot meet the requirement in the environment.
Optionally, the environment recognition partitioning step includes:
An environment 3D modeling substep of 3D modeling an environment;
a feature extraction substep of performing feature extraction on an output from the environmental 3D modeling step;
A sample substep of providing a common test road model sample;
A feature matching sub-step of performing feature matching according to outputs of the feature extraction sub-step and the sample sub-step; and
And an environment type division substep of dividing the environment into types according to the matching result of the feature matching substep.
Optionally, the driving state information acquiring step is used for acquiring driving state data from an OBD interface of the vehicle.
optionally, the evaluation method step adopts chi-square verification for judgment.
The computer-readable medium of the present invention, on which the computer program is stored, is characterized in that the computer program realizes the above-mentioned driving condition evaluation method when being executed by the processor.
The computer device of the present invention includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and is characterized in that the processor implements the driving condition evaluation method when executing the computer program.
as described above, according to the system and the method for evaluating driving conditions of the present invention, engineers can be replaced in tests such as calibration and testing of the engineering vehicle to judge the degree of the driving conditions, and unreasonable driving condition information at the current time can be automatically recorded for later experimental analysis.
Other features and advantages of the methods and apparatus of the present invention will be more particularly apparent from or elucidated with reference to the drawings described herein, and the following detailed description of the embodiments used to illustrate certain principles of the invention.
drawings
Fig. 1 is a block diagram showing a configuration of a driving condition evaluation system according to an embodiment of the present invention.
fig. 2 is a schematic structural diagram of the environment recognition partitioning module 100 of the present invention.
FIG. 3 is a functional diagram illustrating a test criteria expert system 300 of the present invention.
fig. 4 is a flowchart showing a method of evaluating a driving condition according to the present invention.
Detailed Description
The following description is of some of the several embodiments of the invention and is intended to provide a basic understanding of the invention. It is not intended to identify key or critical elements of the invention or to delineate the scope of the invention.
First, a driving condition evaluation system according to an embodiment of the present invention will be described.
Fig. 1 is a block diagram showing a configuration of a driving condition evaluation system according to an embodiment of the present invention.
As shown in fig. 1, a driving condition evaluation system according to an embodiment of the present invention includes: the system comprises an environment identification and division module 100, a driving state information acquisition module 200, a test criterion expert system 300, an evaluation system module 400 and an information recording module 500.
These modules are specifically described below.
In the driving condition evaluation system of the present invention, the environment recognition and classification module 100 is first required to perform environment recognition, and the recognized environment is classified according to the common test environment types (such as ramp, S-way, belgium-way, etc.) in the test yard, so as to provide basic input for the subsequent evaluation system.
fig. 2 is a schematic structural diagram of the environment recognition partitioning module 100 of the present invention.
As shown in fig. 2, the environment recognition partitioning module 100 includes: an environment 3D modeling module 110 for performing 3D modeling on an environment, a feature extraction submodule 120 for performing feature extraction on an output from the environment 3D modeling module 110, a sample submodule 130 for providing a common test road model sample, a feature matching submodule 140 for performing feature matching according to the feature extraction submodule and the output of the sample submodule 130, and an environment category division submodule 150 for dividing the environment into categories according to a matching result of the feature matching submodule 140.
In order to judge the running state of the engineering truck under a certain working condition, the necessary condition is to acquire vehicle running state data in real time in the test process and perform subsequent processing and analysis on the data. In the design of automobiles, an OBD interface (full name of OBD: On Board Diagnostics, vehicle-mounted automatic diagnostic system) can externally output state data related to vehicle driving On a bus, including information such as the depth, speed and gear of an accelerator and a brake pedal. For the driving state information collection module 200 of the present invention, the real-time data collection of the engineering vehicle can be performed only by directly adopting the OBD data collector.
next, the test criteria expert system 300 will be explained.
The test criteria expert system 300 of the present invention further requires regular expression based on different models of environmental categories. Because the types of the tested road environments are relatively few in the process of testing the engineering truck, an expert system is designed for each index of the vehicle performance under the road environments. A functional diagram of the test criteria expert system 300 is shown in fig. 3.
FIG. 3 is a functional diagram illustrating a test criteria expert system 300 of the present invention.
As shown in fig. 3, in the test criteria expert system 300, a knowledge base is established for expert knowledge of the performance of the engineering vehicle under a certain road condition, and meanwhile, actual driving data samples are collected and sent to the inference engine, and the inference engine calculates various indexes of the vehicle performance.
If the road type obtained by the environment recognition and division module 100 is input into the evaluation system module 400, the standard reference data of the automobile in the environment can be output. In the evaluation system module 400, verification analysis is performed by combining the environment recognition and division module 100, the test criterion expert system 300 and the engineering vehicle performance data actually acquired through the OBD interface, that is, the data acquired by the driving state information acquisition module 200, and data comparison is performed within an acceptable two-data consistency range, so as to determine whether the vehicle operation in the environment can meet the requirements.
typically, the chi-squared test is used to determine whether the actual data set differs significantly from the standard data set in the test criteria expert system 300 at a 95% confidence level. And when the significant difference exists, the data at the moment can be considered to be not in accordance with the performance requirement, and the data is recorded and stored. Otherwise, the result is satisfied without recording. The chi-square verification is a hypothesis testing method which is used for counting the deviation degree between the actual observed value and the theoretical inferred value of a sample, the deviation degree between the actual observed value and the theoretical inferred value determines the size of the chi-square value, and the chi-square value is larger and is less in accordance with the chi-square value; the smaller the chi-square value is, the smaller the deviation is, the more the chi-square value tends to be in line with, and if the two values are completely equal, the chi-square value is 0, which indicates that the theoretical value is completely in line with.
After the chi-square analysis is performed on the measured performance data and the standard data under a certain working condition, the evaluation system module 400 can obtain the performance quality degree of the engineering truck under the working condition and output the environmental 3D data and the driving data of the engineering truck at the time when the performance does not accord with the expected time, so that a basic data source can be provided for subsequent debugging and optimization. The information output by the evaluation system module 400 is recorded by the information recording module 500.
next, a method for evaluating a driving condition according to the present invention will be described.
fig. 4 is a flowchart showing a method of evaluating a driving condition according to the present invention.
As shown in fig. 4, the method for evaluating driving conditions of the present invention includes:
Step S100: identifying and dividing the environment;
Step S200: acquiring running state information;
step S300: an estimation step of an expert system based on test criteria;
Step S400: a driving state verification step; and
step S500: and outputting fault data.
next, each step will be specifically described.
In the environment recognition and classification step S100, firstly, environment recognition is performed, and then, the recognized environment is classified according to the common test environment types (such as a ramp, an S-way, a belgium way, and the like) of the test yard, so as to provide basic input for a subsequent evaluation system. According to the method, the 3D laser radar is adopted to model the environment, and the characteristics of the 3D model samples of different road conditions are matched, so that the road condition of the engineering truck is obtained in real time.
In the step S200 of acquiring driving state information, in order to determine the operating state of the engineering vehicle under a certain working condition, the driving state data of the vehicle needs to be acquired in real time during the test process, and the data is subsequently processed and analyzed. In the design of an automobile, an OBD interface can output information data related to a driving state on a bus externally, wherein the information data comprises information such as the depth, the speed and the gear of an accelerator brake pedal. Therefore, in the step S200 of acquiring the driving state information, the engineering vehicle can be acquired in real time only by using the OBD data acquisition device.
In the step S300 of calculating based on the test criteria, the expert system of the present invention needs to perform rule representation according to different environment category models. Because the types of the tested road environments are relatively few in the process of testing the engineering truck, an expert system is designed for each index of the vehicle performance under the road environments. Specifically, in step S300, a knowledge base is established for expert knowledge of the performance of the engineering vehicle under a certain road condition, and meanwhile, actual driving data samples are collected and sent to the inference engine, and the inference engine calculates various indexes of the vehicle performance.
in the driving state information verification step S400, the standard reference data of the vehicle in the environment can be output based on the road type obtained in the environment recognition and division step S100. And, the performance data of the engineering vehicle actually acquired through the OBD interface in the step S200 of acquiring the driving state information is verified and analyzed, and data comparison is performed within the range of acceptable consistency of the two data, so as to determine whether the vehicle can meet the requirements in the environment. Generally, the chi-square test is used to determine whether the actual data set differs significantly from the standard data set in the expert system at a 95% confidence level. And when the significant difference exists, the data at the moment can be considered to be not in accordance with the performance requirement, and the data is recorded and stored. Otherwise, the result is satisfied without recording.
In the fault data output step S500, after the chi-square analysis is performed on the measured performance data and the standard data under a certain working condition, the degree of performance of the engineering vehicle under the working condition can be obtained, and the environmental 3D data and the driving data of the engineering vehicle at the time when the performance does not meet the expectation are output, thereby providing a basic data source for subsequent debugging and optimization. And the output failure data can be recorded.
According to the system and the method for evaluating the driving condition, an engineer can be replaced in tests such as calibration and test of the engineering vehicle to judge the degree of the driving condition, unreasonable driving condition information at the current moment is automatically recorded, and later experimental analysis is facilitated.
the above examples mainly explain the driving condition evaluation system and the driving condition evaluation method of the present invention. Although only a few embodiments of the present invention have been described in detail, those skilled in the art will appreciate that the present invention may be embodied in many other forms without departing from the spirit or scope thereof. Accordingly, the present examples and embodiments are to be considered as illustrative and not restrictive, and various modifications and substitutions may be made therein without departing from the spirit and scope of the present invention as defined by the appended claims.
Claims (12)
1. A driving condition evaluation system is characterized by comprising:
the environment identification and division module is used for identifying and dividing the environment;
The driving state information acquisition module is used for acquiring the driving state information of the vehicle;
the test criterion expert system is used for establishing a knowledge base for expert knowledge of the performance of the engineering vehicle under a certain road condition, collecting actual driving data samples and calculating various indexes of the performance of the engineering vehicle according to the actual driving data samples;
And the evaluation system module is used for verifying and analyzing the driving state information data acquired by the driving state information acquisition module according to the environment types divided by the environment identification and division module and various indexes of the vehicle performance calculated by the test criterion expert system, and judging whether the vehicle operation can meet the requirements in the environment.
2. the driving condition evaluation system according to claim 1, further comprising:
And the information recording module is used for recording fault information output by the evaluation system module under the condition that the vehicle running cannot meet the requirement under the environment.
3. the driving condition evaluation system according to claim 1, wherein the environment recognition division module includes:
an environment 3D modeling module for 3D modeling an environment;
A feature extraction sub-module for feature extraction of output from the ambient 3D modeling module;
A sample submodule for providing a common test road model sample;
a feature matching submodule for performing feature matching according to the output of the feature extraction submodule and the sample submodule; and
and the environment type division submodule is used for dividing the environment into types according to the matching result of the characteristic matching submodule.
4. the driving condition evaluation system according to claim 1,
The driving state information acquisition module is used for acquiring driving state data from an OBD interface of the vehicle.
5. The driving condition evaluation system according to claim 1,
and the evaluation system module adopts card party verification to judge.
6. a driving condition evaluation method is characterized by comprising the following steps:
an environment identification and division step, namely identifying and dividing the environment;
A driving state information acquisition step of acquiring driving state information of a vehicle;
The test criterion expert method is used for establishing a knowledge base for expert knowledge of the performance of the engineering vehicle under a certain road condition, collecting actual driving data samples and calculating various indexes of the performance of the engineering vehicle according to the actual driving data samples;
and the evaluation method step is used for verifying and analyzing the driving state information data collected in the driving state information collection step according to the environment types divided in the environment identification and division step and various indexes of the vehicle performance calculated by the test criterion expert method, and judging whether the vehicle can meet the requirements in the environment.
7. the driving condition evaluation method according to claim 6, further comprising:
And an information recording step of recording failure information output by the evaluation method step in a case where it is judged that the vehicle operation cannot meet the requirement in the environment.
8. The driving condition evaluation method according to claim 6, wherein the environment recognition division step includes:
an environment 3D modeling substep of 3D modeling an environment;
a feature extraction substep of performing feature extraction on an output from the environmental 3D modeling step;
A sample substep of providing a common test road model sample;
a feature matching sub-step of performing feature matching according to outputs of the feature extraction sub-step and the sample sub-step; and
And an environment type division substep of dividing the environment into types according to the matching result of the feature matching substep.
9. The driving condition evaluation method according to claim 6,
and the driving state information acquisition step is used for acquiring driving state data from an OBD interface of the vehicle.
10. The driving condition evaluation method according to claim 6,
The evaluation method adopts chi-square verification for judgment.
11. A computer-readable medium, having stored thereon a computer program,
The computer program, when executed by a processor, implements the driving condition assessment method according to any one of claims 6 ~ 10.
12. a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the driving condition assessment method according to any one of claims 6 ~ 10 when executing the computer program.
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