Guangzhou, September 18, 2020/PRNewswire/--The Internet of Vehicles is an important area involving both information infrastructure and converged infrastructure in the "new infrastructure", "Industrial and the Ministry of Information Technology’s Notice on Promoting the Accelerated Development of 5G” clearly proposes to promote the coordinated development of “5G + Internet of Vehicles”. The proposal of multi-access edge computing (MEC) provides a new solution for 5G + Internet of Vehicles. MEC nodes are deployed at the edge of the network close to end users to provide data and application services for "smart cars + smart roads" and reduce data The end-to-end delay of transmission is of great significance in promoting the application and deployment of vehicle-road collaboration technology.
On August 19-21, China Academy of Information and Communications Technology (hereinafter referred to as "CAICT") and Gosuncn Technology Group Co., Ltd. (hereinafter referred to as "Gosuncn") carried out a roadside MEC Test and verify the functional performance of the equipment and the general performance of the hardware. Gosuncn successfully passed various tests and obtained the Internet of Vehicles MEC equipment evaluation qualification report issued by the Academy of Information and Communications Technology, becoming the first company in the industry to pass the MEC equipment test of the Academy of Information and Communications Technology.
Gosuncn MEC3.0 Test Qualification Report
The Internet of Vehicles MEC test plan was jointly researched and formulated by Gosuncn and China Academy of Information and Communications Technology, and under the strict and professional supervision of the Academy of Information and Communications Technology conduct. The test plan covers MEC functional performance tests such as message layer interface interconnection, Thundervision fusion sensing algorithm, terminal concurrency, etc., as well as hardware performance tests such as environmental adaptability, electromagnetic compatibility, and equipment security. Specific test items include 12 functional tests such as evaluation of interconnection capabilities of RSUs, signals and other equipment, fusion sensing recognition rate, monitoring and early warning, etc., and testing of multiple RSUs, signals, radar and camera access, multi-channel OBU traffic concurrency, etc. 8 performance tests, and 9 hardware performance tests including high and low temperature, vibration, surge impact immunity, etc.
MEC detection system network diagram
The biggest features of Gosuncn MEC3.0 are multi-access, low latency, self-developed lightning algorithm and high reliability. "Used in V2X vehicle-road collaborative transportation solutions, it can be connected to various front-end sensing devices such as radars and cameras, and can support the concurrency of 200 OBUs." In actual measurements by the Institute of Information and Communications Technology, the end-to-end delay can be maintained at about 1ms. , Gosuncn's self-developed laser vision fusion algorithm can detect people, cars, and non-motor vehicles with a detection rate of 99.19%. ”
As for the standardization of roadside MEC equipment, the industry as a whole is still in its infancy. This joint test is a forward-looking exploration conducted by China Academy of Information and Communications Technology and Gaoxin. This test not only objectively evaluates the roadside The functional performance of side MEC products has laid the foundation for the establishment of a roadside MEC equipment testing standard system, and will further promote the early large-scale deployment and operation of my country's Internet of Vehicles roadside MEC system.
This article comes from Automobile. The author of JiaCheJiaHao does not represent the views and positions of Autohome