CN111611746A - Intelligent network networking test oriented database management system - Google Patents
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Abstract
The invention relates to a database management system for intelligent online vehicle test, which comprises a database bottom layer, a data set, a background processing unit and a foreground interaction unit which are sequentially connected; the bottom layer of the database adopts a time sequence database; the data set comprises a test data set and an auxiliary data set, the test data set comprises a data set generated in the test process, and the auxiliary data set comprises a user data set and a test evaluation result data set; the background processing unit comprises a storage module, an encoding module, a retrieval module, an evaluation module, an interface module and an information security module. Compared with the prior art, the method and the system can systematically manage the data generated in the intelligent internet vehicle testing process, are favorable for fully mining the value of the data in the intelligent internet vehicle testing process, and improve the internet vehicle testing efficiency.
Description
Technical Field
The invention relates to the technical field of data management in an intelligent networking environment, in particular to a database management system for intelligent networking vehicle testing.
Background
With the continuous development of wireless communication technology and intelligent vehicle technology, the internet of vehicles becomes the most active branch of the internet of things, and the internet of vehicles attracts much attention in the field of intelligent transportation, and is the currently internationally recognized best means for improving driving safety, improving transportation efficiency and realizing energy conservation and emission reduction. Meanwhile, the development and test of the intelligent networked vehicle are also developed from the initial model level (microcosmic, mesoscopic and macroscopic) to a more real and complex environment. In order to promote the further development of the intelligent internet vehicle technology, the investment in the aspect of intelligent internet vehicle is continuously increased in countries and regions such as the United states, China, European Union and the like, and the test of the intelligent internet vehicle is continuously promoted.
In the field of intelligent internet vehicle testing, the testing method mainly comprises simulation testing, closed scene testing, open road testing and in-loop simulation testing. In any test method, huge data is generated in the test process. At present, a special database management system for the internet vehicle test is absent, so that the data collection, storage and management are disordered, and the value of the data is not fully utilized.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a database management system for intelligent online vehicle testing.
The purpose of the invention can be realized by the following technical scheme:
a database management system for intelligent online vehicle test comprises a database bottom layer, a data set, a background processing unit and a foreground interaction unit which are connected in sequence; the bottom layer of the database adopts a time sequence database; the data set comprises a test data set and an auxiliary data set, the test data set comprises a data set generated in the test process, and the auxiliary data set comprises a user data set and a test evaluation result data set; the background processing unit comprises a storage module, an encoding module, a retrieval module, an evaluation module, an interface module and an information security module.
Preferably, the test data set includes data sets of test information, map information, scene information, signal light status, vehicle trajectory, and detector data.
Preferably, the storage module, the retrieval module, the evaluation module and the interface module are all connected with the encoding module, the storage module, the encoding module and the information security module are all connected with the data set, and the interface module is connected with the foreground interaction unit.
Preferably, the storage module adopts distributed storage of multi-machine storage in the storage process and adopts an LSMtree storage organization structure.
Preferably, the encoding module is configured to encode and decode data, perform standardized processing on information recorded in the database, and apply different data compression methods to different data.
Preferably, the encoding module applies huffman coding to data sets consisting of numbers and having no time series, while generating a corresponding entropy encoder/decoder for each data set; for time series data, a lossless compression algorithm is adopted; for video detector data consisting of video data, the encoding scheme of h.264 is adopted.
Preferably, the retrieval module is connected to the interface module and the evaluation module, respectively, and the retrieval module includes retrieval modes of target retrieval and evaluation retrieval.
Preferably, the evaluation content of the evaluation module includes evaluation of the internet connection running condition and evaluation of the whole road connection traffic condition.
Preferably, the process of evaluating the operation condition of the internet connected vehicle includes: summarizing important indexes in the running process of the internet through meta-analysis, calculating corresponding indexes according to the track data and evaluating the indexes; the whole road network evaluation process comprises the following steps: and evaluating the safety of the road network according to the detector data and the historical accident data by adopting a Bi-LSTM-based Seq2Seq accident prediction model.
Preferably, the information security module is used for guaranteeing the security of the data in the database.
Compared with the prior art, the invention has the following advantages:
1. the method and the system can systematically manage the data generated in the intelligent internet vehicle testing process, are favorable for fully mining the value of the data in the intelligent internet vehicle testing process, and improve the internet vehicle testing efficiency.
2. The storage module needs to store data generated at each moment in the intelligent internet vehicle testing process, compared with a relational database, the time sequence database pays more attention to writing of time sequence data, an LSM tree is adopted to replace a B tree, higher writing performance is obtained through memory writing and sequential writing of subsequent disks, and random writing is avoided.
3. The coding module adopts different data compression modes aiming at different data to carry out standardized processing on the information input into the database, thereby reducing the storage cost.
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FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a flow chart of the test of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
As shown in fig. 1, the present application provides a database management system for intelligent internet vehicle testing, which includes a database bottom layer, a data set, a background processing unit and a foreground interaction unit, which are connected in sequence.
Because the data at each moment need be recorded in the intelligent internet vehicle test process, a time sequence database is adopted at the bottom layer of the database.
The data sets include a test data set and an auxiliary data set. The test data set includes data sets generated during the test, such as data sets of test information, map information, scene information, signal light status, vehicle trajectory, detector data, and the like. The auxiliary data set includes a user data set and a test evaluation result data set, etc.
The test information includes basic conditions of the test, such as test time, test type, and test place. The high-precision map of the test site is recorded in the map information, and the standard OpenStreetMap (OSM) format is adopted in the implementation. The scene information comprises a test scene and a scene trigger, wherein the test scene is all scenes capable of being tested in the test, and comprises a scene name, a scene basic description, a scene place, a trigger mode, scene corresponding parameters and the like; the scene trigger records the trigger condition of each scene, including the trigger scene name, trigger time and other information. The signal lamp state information comprises signal lamp basic information and real-time signal lamp state, wherein the signal lamp basic information comprises information such as signal lamp position, signal lamp cap, signal lamp type and phase sequence; the real-time signal lamp state records the signal lamp state in the test process, and comprises information such as the current phase, the next phase, the time from the next phase and the like. The vehicle track records the real-time position of the internet vehicle in the test process, and according to the characteristics of the internet vehicle test, the vehicle track needs to comprise information such as vehicle numbers, vehicle types, road sections, lanes, lane positions, longitude and latitude, speed, expected speed, acceleration, maximum acceleration, angles and the like. The detector data are coil data, microwave data, radar data and video data, and need to include detector number, position, detection time, detection range and corresponding detection content.
The background processing unit comprises a storage module, a coding module, a retrieval module, an evaluation module, an interface module and an information security module, wherein the storage module, the retrieval module, the evaluation module and the interface module are all connected with the coding module, the storage module, the coding module and the information security module are all connected with a data set, and the interface module is connected with the foreground interaction unit.
The storage module needs to store data generated at each moment in the intelligent internet vehicle testing process, and compared with a relational database, the time sequence database pays more attention to writing of time sequence data. Due to the fact that the time sequence data volume is huge, distributed storage of multi-machine storage is adopted in the storage process. During the distributed storage process, data needs to be fragmented, and during the fragmentation process, the metric + tags are adopted to store data with the same tag (as a test site) in a certain time range on the same machine.
The coding module is responsible for coding and decoding data, standardizes information recorded into the database and reduces storage cost. The coding module adopts different data compression modes aiming at different data. In this embodiment, the encoding module uses huffman encoding for data sets consisting of numbers and having no time sequence, and generates a corresponding entropy encoder/decoder for each data set due to the difference in characteristics between each data set, so that each data set achieves the optimal compression rate. For time series data such as vehicle tracks and the like, an InfluxDB lossless compression algorithm aiming at a time sequence is adopted, and compared with the method of directly compressing texts, the compression rate of the data with a certain rule on the time sequence is greatly improved. For video detector data consisting of video data, the encoding method of h.264, which is a block-oriented video encoding standard based on motion compensation, is used to provide good video quality at a lower bit rate.
The retrieval module comprises basic retrieval functions for the database, comprises retrieval modes of target retrieval and evaluation retrieval, can retrieve corresponding data according to a required target, and can evaluate and retrieve corresponding results according to safety, efficiency and the like. Because the time sequence database adopts distributed storage, the related data fragments are inquired by adopting aggregation operation inquiry and are combined into an original data set according to the time stamp. In the evaluation and retrieval process, firstly, an evaluation module is required to be called to evaluate the test result of the internet vehicle in multiple aspects, and then the corresponding evaluation result is obtained according to the requirement. In the process of target retrieval, according to the required test or vehicle target, the sql query statement can be used to obtain all the test data in the database, and the information of the relevant vehicle can be retrieved through technologies such as video analysis and the like.
The evaluation module is used for evaluating the test result of the internet connection vehicle and is divided into two parts, namely safety evaluation and efficiency evaluation, and the evaluation content comprises internet connection vehicle operation condition evaluation and whole road network traffic condition evaluation. The process of evaluating the operation condition of the internet vehicles comprises the following steps: and summarizing important indexes in the running process of the internet through meta-analysis, calculating corresponding indexes according to the track data and evaluating the indexes. The overall road network evaluation process comprises the following steps: and evaluating the safety of the road network according to the detector data and the historical accident data by adopting a Bi-LSTM-based Seq2Seq accident prediction model. In addition, the running track of the vehicle in the video can be detected through a video analysis technology, and then the traffic running condition in the video can be evaluated.
The interface module comprises a data receiving part and an external calling part, and an interface of the data receiving part is responsible for acquiring data generated by the internet connection vehicle in the test process; the interface of the external calling part is connected with the data management platform to provide a function interface required by the outside.
The information security module is used for guaranteeing the security of the data in the database.
The foreground interaction unit is responsible for interactive management with the outside, comprises two modes of a user and an administrator, and both comprise basic operation functions of connecting a database, recording test data, downloading the test data, inquiring an evaluation result and the like, and the administrator mode can further manage background data.
The data recording process of the database management system for the Internet vehicle test process comprises the following steps: before testing, a testing user needs to select a testing place and corresponding testing content; in the testing process, the database management system continuously receives and writes the relevant data generated in the testing process in batches through the interface module; after the test is finished, the test user can obtain the test data and the corresponding evaluation result according to the requirement.
The method comprises the steps that before testing, a database needs to be initially set, required information such as a test scene needs to be added, and the required information is displayed in a user interaction interface through an sql statement in a subsequent testing process; meanwhile, a required evaluation model needs to be established, and the test result of the internet connected vehicle is evaluated from multiple angles such as safety, efficiency and the like.
Examples
In this embodiment, a test flow is shown in fig. 2, and a specific implementation of the database management system for the internet connection test is described by taking an in-loop test as an example. Firstly, a corresponding data set is selected according to the characteristics of the in-loop test, for example, the track data needs to include position information of a vehicle in simulation, the vehicle and a signal lamp are divided into an in-loop type and a non-in-loop type, and in the test process, in-loop data and non-in-loop data need to be recorded at the same time. The trajectory data set is shown in table 1.
TABLE 1 trajectory data set
Before the test starts, a user needs to set a test mode to be an in-loop test, upload map data of a test site or select an existing test site, select test scene content or customize a test scene according to requirements, and needs to use communication equipment to be connected with a database.
In the testing process, the database management system records corresponding data according to the conditions in the internet vehicle testing process: at regular time intervals, the system can record the real-time positions of the networked vehicles and the simulated vehicles and the real-time states of signal lamps; each time a test scenario is triggered, the system records the time of the trigger.
After the test is finished, the user can retrieve corresponding test data according to a required target through the interactive interface, and also can retrieve corresponding test evaluation results according to safety, efficiency and other evaluations.
Claims (10)
1. A database management system for intelligent online vehicle test is characterized by comprising a database bottom layer, a data set, a background processing unit and a foreground interaction unit which are sequentially connected; the bottom layer of the database adopts a time sequence database; the data set comprises a test data set and an auxiliary data set, the test data set comprises a data set generated in the test process, and the auxiliary data set comprises a user data set and a test evaluation result data set; the background processing unit comprises a storage module, an encoding module, a retrieval module, an evaluation module, an interface module and an information security module.
2. The intelligent networked vehicle test-oriented database management system according to claim 1, wherein the test data set comprises a data set of test information, map information, scene information, signal light status, vehicle trajectory, and detector data.
3. The database management system for the intelligent internet vehicle test as recited in claim 1, wherein the storage module, the retrieval module, the evaluation module and the interface module are all connected with the coding module, the storage module, the coding module and the information security module are all connected with the data set, and the interface module is connected with the foreground interaction unit.
4. The intelligent networked vehicle test-oriented database management system according to claim 3, wherein the storage module adopts multi-machine storage distributed storage in the storage process and adopts an LSM tree storage organization structure.
5. The intelligent Internet vehicle test-oriented database management system as recited in claim 3, wherein the coding module is used for coding and decoding data, standardizing information entered into the database, and adopting different data compression modes for different data.
6. The database management system for the intelligent internet vehicle test as recited in claim 5, wherein the coding module adopts huffman coding for data sets consisting of numbers and having no time sequence, and generates a corresponding entropy coder/decoder for each data set; for time series data, a lossless compression algorithm is adopted; for video detector data consisting of video data, the encoding scheme of h.264 is adopted.
7. The intelligent networked vehicle test-oriented database management system according to claim 3, wherein the retrieval module is respectively connected with the interface module and the evaluation module, and the retrieval module comprises retrieval modes of target retrieval and evaluation retrieval.
8. The database management system oriented to the intelligent internet vehicle test as recited in claim 3, wherein the evaluation content of the evaluation module comprises internet vehicle running condition evaluation and overall internet traffic condition evaluation.
9. The database management system for the intelligent online vehicle test according to claim 8, wherein the process of evaluating the operation condition of the online vehicle comprises: summarizing important indexes in the running process of the internet through meta-analysis, calculating corresponding indexes according to the track data and evaluating the indexes; the whole road network evaluation process comprises the following steps: and evaluating the safety of the road network according to the detector data and the historical accident data by adopting a Bi-LSTM-based Seq2Seq accident prediction model.
10. The intelligent networked vehicle test-oriented database management system according to claim 3, wherein the information security module is used for ensuring the security of data in the database.
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Application publication date: 20200901 |