Application | JHCTECH MEC supports the construction of  National Internet of Vehicles Pilot Area

Application | JHCTECH MEC supports the construction of  National Internet of Vehicles Pilot Area

Recently, China's  Ministry of Industry and Information Technology responded to the governments of Hubei Province, Zhejiang Province and Guangxi Zhuang Autonomous Region to support Hubei (Xiangyang), Zhejiang (Deqing) and Guangxi (Liuzhou) to establish a national-level pilot zone for vehicle networking. JHCTECH's Edge Computing MEC successfully supported Xiangyang and Liuzhou Automotive Networking Pilot Area.

Internet of Vehicles construction application requirements

To promote the development of the Internet of Vehicles in the pilot area, Xiangyang and Liuzhou both declared that they will vigorously explore the infrastructure construction of the Internet of Vehicles, carry out the comprehensive intelligent and networked transformation of traffic intersections in the city, achieve full coverage of the C-V2X network. Build a unified, open, shared, and functional reuse of an intelligent network platform, and open up data interfaces between the platform and various cross-industry platforms such as public safety traffic management, intelligent transportation, urban management, and travel services, to achieve data sharing and scene linking.

Multi-access Edge Computing (MEC) is the edge brain of the Internet of Vehicles for device access, data processing, memory analysis, protocol development, and services enablement. It connects scattered devices and systems in series and performs comprehensive data processing.In practical applications, it is the vehicle-road collaborative roadside comprehensive information fusion processing center that connects to the V2X platform at the upper layer, connects sensors such as RSU, camera, andradar at the bottom, and receives perception data. Networking, storage, and computing capabilities are provided at the edge.

The deep integration of MEC edge computing and C-V2X represented by network technology can realise multiple application scenarios of network autonomous driving. Whether the development of network connectivity can finally achieve the expected results depends on MEC edge computing.

JHCTECH’s MEC assists in the construction of the pilot area of the Internet of Vehicles

As a professional supplier in the field of intelligent transportation edge computing, JHCTECH’s BRAV-7520/S001 & BRAV-7521/S001, as the roadside computing unit MEC, provides powerful computing capabilities for the infrastructure construction of Internet of vehicles in Hubei (Xiangyang) and Guangxi (Liuzhou) national Internet of vehicles pilot areas. To date, the roadside edge computing MEC provided by JHCTECH for Hubei (Xiangyang) and Guangxi (Liuzhou) Internet of Vehicles pilot areas has been deployed and operating normally.

JHCTECH's BRAV-7520/7521 is equipped with Intel Xeon E or 9th/8th-Gen Core I7 8-core 16-thread processor, 32GB DDR4 memory, and 3070/3080 turbo graphics card, which can simultaneously process data from four-channel lidar and four-channel camera. JHCTECH's MEC also meets the requirements of the intersection of environmental data collection, data processing and transmission. It connects sensors such as lidar, millimeter-wave radar, and cameras via the gigabit network to obtain environmental data at intersections, make fusion calculations on the collected data, and transmit the processed data to RSU and the cloud through a wireless network It adopts a wide temperature design and has super stability. It can adapt to the harsh environment of the roadside and meet the outdoor high and low-temperature alternating ability.

Product Specifications

  • Intel® Xeon® E or 9th/8th-Gen Core™ i7/i5/i3 processor
  • Intel® Q370/C246 Chipset
  • Large memory, 4*DDR4 up to 128G ECC/non-ECC
  • UHD dual 4K and 3 independent displays, 2*DP+1*VGA
  • 3* Gig-LAN ,Opt. Multi-ch 10Gig-SFP
  • Multi-ch PCIe standard slot, supports multiple high-speed extension interface modules
  • Super storage configuration,2*SATA3.0 (7520), 4*SATA3.0 (7521), 1*M.2 2280 M-Key
  • Support AMT12.0, Intel® iVpro and optional TPM2.0
  • CPU fanless, AI/GPU efficient fan cooling design
  • Super deep learning ability, support 350W GPU/ 75W PGPU/AI acceleration card
  • Operating temperature can reach -20~60℃, storage temperature can reach -40~85℃

Learn more about BRAV-7520BRAV-7521 series

New product recommendation

In addition to the BRAV-7520/7521 used in the project, the company has recently upgraded it iteratively with the introduction of the new product BRAV-7720/7721, a high-performance AIoT multi-architecture edge computing system. Follow me together to understand it!

  • Intel 12th/13th Gen. Alder lake-S/Raptor Lake-S Core i9/i7/i5/i3/Pentium/Celeron CPU
  • ntel® Q670 Chipset
  • 2*DDR5 4800MHz SODIMM, up to 64GB
  • 1*DP+1*HDMI and 1*VGA, UHD 8K+4K three independent displays
  • 2*Intel® I226V 2.5G LAN, 1*Intel® I219LM Gigabit LAN, support iAMT12.0
  • 1*PCIe X16 (X16 signal)+1*PCIe X16 (X4 signal), dual PCIe expansion (7720), 2*PCIeX16(X8 signal)+2*PCIeX16(X4 signal), quad PCIe expansion (7721)
  • 2*2.5”SATA3.0 Bays, 1*M.2 2280 PCIeX4 NVMe
  • Support TPM2.0 and iVpro technology
  • Fanless cooling for CPU , AI/GPU card with efficient fan cooling design
  • Support 450W GPU or dual 75W/150W AI acceleration cards
  • 1000W DC IN 12V, and wide temperature fanless AC-DC power adapter with PFC
  • Operating temperature can reach -20~60℃, storage temperature can reach -40~85℃

Learn more about BRAV-7720BRAV-7721 series


In the future, JHCTECH will continue to provide mature and perfect product application schemes for the intelligent transportation field and contribute to the high-quality development, transformation and upgrading of China's intelligent transportation industry.