CN216357337U - Intelligent network connection research testing device - Google Patents
Intelligent network connection research testing device Download PDFInfo
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- CN216357337U CN216357337U CN202122520667.2U CN202122520667U CN216357337U CN 216357337 U CN216357337 U CN 216357337U CN 202122520667 U CN202122520667 U CN 202122520667U CN 216357337 U CN216357337 U CN 216357337U
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Abstract
The utility model discloses an intelligent networking research testing device, which relates to the technical field of intelligent networking systems and is characterized in that: the system comprises a tested system, a truth value system and a cloud evaluation system; the system to be tested consists of road side sensing equipment, an RSU, a signal machine, a switch, an edge calculation unit and a first 5G module; the truth value system consists of an RTK positioning module, a processing module, a second 5G module and a target basic information input module; the cloud evaluation system consists of a communication gateway, a synchronization module and an analysis module; the utility model can evaluate the perception result of the intelligent network connection side system.
Description
Technical Field
The utility model relates to the technical field of intelligent networking systems, in particular to an intelligent networking research testing device.
Background
The test of the current intelligent network system is end-to-end test, namely, road end sensing equipment acquires information of traffic participants, the information is processed by an edge technical unit and then is sent to a vehicle end OBU by an RSU, and a vehicle receives a message of the OBU to process and respond. Therefore, current test equipment or systems evaluate the response of the vehicle and use conventional test equipment in the automotive industry. The end-to-end test has two problems, namely, the test needs to be carried out on the vehicle-end equipment, the test cost is high, and the test flow is complex; and secondly, for the scene with the test not reaching the standard, the problem is difficult to be checked, and which node in the data link has the problem cannot be determined, so that the test is completely a black box test. The roadside sensing system is a basic data node of the intelligent networking system, and if the roadside sensing node can be evaluated in advance, the development center of gravity can be placed to the communication node and the vehicle end node behind after the roadside sensing system is continuously optimized and evaluated to reach the standard.
The intelligent networking automobile is an important direction for the current automobile development, and the intelligent networking road side system is a precondition for realizing the intelligent networking automobile. Currently, for the verification of the intelligent network system, only a verification device (method) from a road end to a vehicle end is a detection device end to end, which can only detect the response state of the vehicle at the tail end of the intelligent network system, but cannot evaluate the perception accuracy of a road side perception node, which is an intermediate node of the intelligent network system. The utility model designs a device (method) for detecting the perception accuracy of an intelligent network connection-side system, which can evaluate the perception result of the intelligent network connection-side system.
SUMMERY OF THE UTILITY MODEL
The utility model aims to provide an intelligent network connection research testing device which can evaluate the sensing result of an intelligent network connection side system.
In order to achieve the purpose, the utility model provides the following technical scheme:
an intelligent network connection research test device comprises a tested system, a truth value system and a cloud evaluation system;
the system to be tested consists of road side sensing equipment, an RSU (road side unit), a signal machine, a switch, an edge calculation unit and a first 5G module 6, wherein the road side sensing equipment acquires original road condition data, transmits the original road condition data to the edge calculation unit for data processing, and then sends the original road condition data to a cloud evaluation system through the first 5G module 6;
the truth system consists of an RTK positioning module, a processing module, a second 5G module 9 and a target basic information input module. The target object of the target object basic information input module is various traffic participants, the RTK positioning module is installed on or carried on the target object, the processing module processes data from the RTK positioning module and sends the generated information to the cloud evaluation system through the second 5G module 9;
the cloud evaluation system is composed of a communication gateway 11, a synchronization module and an analysis module, wherein the communication gateway 11 receives data sent by a tested system and a truth-value system and inputs the data to the synchronization module for synchronous processing, the data are input to the analysis module after the synchronous processing of the synchronization module is completed, and the analysis module finishes evaluation on the tested system by comparing target object data detected by the tested system and the truth-value system.
Preferably, the system under test further comprises an RSU, and the RSU sends the data processed by the edge computing unit to other intelligent networked vehicles.
Preferably, the RTK positioning module includes a hardware device including, but not limited to, a mobile intelligent terminal device with an RTK function, and a network account, and the network account can use a mature thousand seeking positioning account or a sixteenth positioning account to realize RTK positioning.
Preferably, the tested system and the cloud evaluation system, and the truth system and the cloud evaluation system all adopt a G network to transmit data.
The utility model has the following beneficial effects:
firstly, the utility model has creativity: the sensing precision of the intelligent network connection side sensing system can be evaluated, and no evaluation device exists at present;
secondly, the utility model has low cost: the RTK positioning module adopts a mode of hardware equipment and a network account, wherein real-time value system hardware equipment adopts a mobile intelligent terminal with an RTK function, and the network account adopts mature seeking positioning or sixth-minute positioning energy, so that the cost of the scheme is greatly reduced compared with that of the existing test real-time value system;
thirdly, the utility model has multiple evaluation dimensions: the intelligent network connection side perception system can be evaluated from multiple dimensions of a target object;
fourthly, the evaluation efficiency of the utility model is high: on one hand, the time delay can be reduced by adopting a 5G network to transmit data; on the other hand, the cloud evaluation system evaluates the perception accuracy of the roadside perception system by comparing the corresponding data of the system to be measured and the real value system, and is simple in logic and high in processing efficiency;
fifthly, the utility model has high automation degree: and the data of the tested system and the real value system are automatically uploaded to the cloud evaluation system through a 5G network, and the evaluation system automatically generates an evaluation report for data analysis and processing.
Drawings
FIG. 1 is a schematic diagram of a system according to an embodiment of the present invention.
In the figure: 1. a roadside sensing device; 2. an RSU; 3. a signal machine; 4. a switch; 5. an edge calculation unit; 6. a first 5G module; 7. an RTK positioning module; 8. a processing module; 9. a second 5G module; 10. a target basic information input module; 11. a communication gateway; 12. a synchronization module; 13. and an analysis module.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
The utility model provides an intelligent networking research testing arrangement, mainly is in order to detect the precision of intelligent networking way side system perception, whether the evaluation system under test satisfies standard requirement and detects the quality of different producer roadside system performance, has solved current evaluation device precision low, with high costs and consuming time hard scheduling problem. As shown in fig. 1, the main idea of the present invention is to utilize a tested system and a truth value system to simultaneously obtain parameters such as category information, size information, motion trajectory information, speed information, acceleration information, course angle information, etc. of a target object, and obtain an evaluation report by comparing the difference between the tested system and the truth value system, wherein the truth value system utilizes an RTK high-precision positioning technology to obtain a truth value to detect the tested system. The composition, function and connection of the systems will be described in detail below:
as shown in fig. 1, the system to be tested is an intelligent network connection side system, and is composed of a roadside sensing device 1, an RSU2, a signal machine 3, a switch 4, an edge calculation unit 5, and a first 5G module 6, and its main function is to obtain information of traffic participants and original data of traffic light information by using various sensing devices installed on the roadside, transmit the data to the edge calculation unit 5 for data processing to generate structured data, and then send the structured data to other intelligent network connection vehicles by the RSU2, or send the structured data to a vehicle-road cooperation system cloud by the first 5G module 6. According to the utility model, evaluation is carried out at the cloud end, so that the tested system can send the structured data to the cloud end evaluation system through the first 5G module 6.
As shown in fig. 1, the truth system is composed of an RTK positioning module 7, a processing module 8, a second 5G module 9 and an object basic information input module 10. The target mainly comprises traffic participants such as cars, trucks, buses, pedestrians and non-motor vehicles, the RTK positioning module 7 is installed on or carried on the target, and the basic information input module 10 of the target has the function of inputting the size and the category of the target and RKT three-dimensional coordinates of the positioning module 7 relative to the geometric center of the target. The RTK positioning module 7 is used for acquiring high-precision position information of a target object and comprises hardware equipment and a network account, wherein the hardware equipment comprises but is not limited to mobile intelligent terminal equipment with an RTK function; its network account may use a mature thousand seeking positioning account or a sixteenth positioning account to achieve an RTK positioning. The processing module 8 processes the data from the RTK positioning module 7 to generate position information, speed information, acceleration information, course angle information, and the like of the target object, and sends the data to the cloud evaluation system through the second 5G module 9 in combination with the data of the target object basic information input module 10.
As shown in fig. 1, the cloud evaluation system mainly includes a communication gateway 11, a synchronization module 12, and an analysis module 13. The main functions of the system are that the communication gateway 11 receives data sent by a tested system and a truth-value system, the data are input into a synchronization module 12 for time synchronization processing, the data are input into an analysis module 13 after the synchronization processing is finished, the analysis module 13 compares target object type information, size information, position information, motion track information, speed information, acceleration information, course angle information and the like detected by the tested system and the truth-value system, evaluates the tested system according to the 'application layer and application data interaction standard for the vehicle of the cooperative intelligent transportation system (first 6 stages'), the 'application layer and application data interaction standard for the vehicle of the cooperative intelligent transportation system (second 9 stages'), and technical requirements inside each enterprise, and visually displays and outputs an evaluation result.
And considering the characteristic of low time delay of the 5G network, the tested system and the cloud evaluation system, and the truth value system and the cloud evaluation system all adopt the 5G network to transmit data.
The above is only a specific embodiment of the present invention, but the technical features of the present invention are not limited thereto. Any simple changes, equivalent substitutions or modifications made on the basis of the present invention to solve the substantially same technical problems and achieve the substantially same technical effects are within the scope of the present invention.
Claims (4)
1. The utility model provides an intelligence networking research testing arrangement which characterized in that: the system comprises a tested system, a truth value system and a cloud evaluation system;
the system to be tested consists of road side sensing equipment (1), an RSU (2), a signal machine (3), an exchanger (4), an edge calculation unit (5) and a first 5G module (6), wherein the road side sensing equipment (1) acquires original road condition data, transmits the original road condition data to the edge calculation unit (5) for data processing, and then sends the original road condition data to a cloud evaluation system through the first 5G module (6);
the truth value system comprises an RTK positioning module (7), a processing module (8), a second 5G module (9) and a target basic information input module (10), a target of the target basic information input module (10) is various traffic participants, the RTK positioning module (7) is installed on or carried on the target, the processing module (8) processes data from the RTK positioning module (7) and sends the generated information to a cloud evaluation system through the second 5G module (9);
the cloud evaluation system is composed of a communication gateway (11), a synchronization module (12) and an analysis module (13), wherein the communication gateway (11) receives data sent by a tested system and a truth-value system and inputs the data into the synchronization module (12) for synchronous processing, the synchronization module (12) inputs the data into the analysis module (13) after synchronous processing is completed, and the analysis module (13) evaluates the tested system by comparing target object data detected by the tested system and the truth-value system.
2. The intelligent networking research test device of claim 1, wherein: the system under test further comprises an RSU (2), and the RSU (2) sends the data processed by the edge computing unit (5) to other intelligent networked vehicles.
3. The intelligent networking research test device of claim 1, wherein: the RTK positioning module (7) comprises hardware equipment and a network account, wherein the hardware equipment comprises but is not limited to a mobile intelligent terminal equipment with an RTK function, and the network account can adopt a mature thousand seeking positioning account or a sixteenth positioning account to realize RTK positioning.
4. The intelligent networking research test device of claim 1, wherein: the tested system and the cloud evaluation system, the truth value system and the cloud evaluation system all adopt a 5G network to transmit data.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114973700A (en) * | 2022-05-18 | 2022-08-30 | 浙江嘉兴数字城市实验室有限公司 | Signal machine networking safety device based on vehicle-road cooperative application and working method |
| CN115346367A (en) * | 2022-07-26 | 2022-11-15 | 上海交通大学 | Test system and test method of vehicle-road cooperative system |
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2021
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114973700A (en) * | 2022-05-18 | 2022-08-30 | 浙江嘉兴数字城市实验室有限公司 | Signal machine networking safety device based on vehicle-road cooperative application and working method |
| CN114973700B (en) * | 2022-05-18 | 2024-03-26 | 浙江嘉兴数字城市实验室有限公司 | Traffic signal network security device based on vehicle-road cooperative application and working method |
| CN115346367A (en) * | 2022-07-26 | 2022-11-15 | 上海交通大学 | Test system and test method of vehicle-road cooperative system |
| WO2024021872A1 (en) * | 2022-07-26 | 2024-02-01 | 上海交通大学 | Test system for vehicle-infrastructure cooperative system and test method thereof |
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