When The Low-altitude Economy Takes Off, JHCTECH Makes a Difference!
Low-Altitude Economy
The low-altitude economy is hailed as a key driver of future economic growth, with low-altitude logistics serving as one of its major driving forces, offering immense market potential. Logistics distribution based on drone technology addresses traditional logistics challenges such as high labor costs, low efficiency, and limited coverage. By leveraging three-dimensional distribution networks, it provides faster, more efficient “door-to-door” delivery services, helping to solve the “last-mile” bottleneck in urban logistics.
Drone Delivery
Currently, numerous cities in China have deployed drone logistics services, showcasing the vast potential of commercial activities in the low-altitude sector. Applications such as instant delivery services, emergency supply transport, and last-mile delivery are enabled through terminals, networks, platforms, and applications. With advantages like efficiency, flexibility, and cost-effectiveness, drones have become an important force in enhancing logistics efficiency, reducing costs, and unlocking consumption potential. However, actual implementation presents challenges, including rapid response, system stability, environmental adaptability, energy efficiency, and user privacy protection. These require performance improvements and technical breakthroughs at the foundational levels of computer hardware and software.
Application Requirements
⭐ Low-altitude aircraft generate massive amounts of data during flight, including sensor data (e.g., GPS, IMU), images, videos, electronic gyroscope readings, and barometric pressure data. Delivery drone computers require robust computational capabilities to process these data efficiently and in real-time, supporting navigation, positioning, and image and video decoding and analysis.
⭐The industrial computer is responsible for managing the aircraft’s flight control system. Through onboard flight control algorithms and software, it enables autonomous flight, attitude adjustment, route planning, and obstacle avoidance. Delivery drone computers must ensure that the aircraft operates along prescribed routes to enhance flight stability and safety.
⭐Aircraft must maintain stable communication with ground control points or other devices to receive instructions, transmit data, and facilitate remote monitoring. Delivery drone computers need to support multiple communication methods, including cellular data, 2.4G, and 5G frequency bands, ensuring reliable communication between aircraft. This includes wireless data transfer and satellite communication.
JHCTECH Product Solution
PITX-I915 is a standard 2.5-inch single-board computer with a compact size designed to fit the installation environment of drones. Equipped with the 11th Gen Intel® Tiger Lake U Soc CPU, the powerful CPU performance meets the computing needs of large amounts of flight data, providing efficient support for navigation, positioning, image and video decoding analysis for drones. The IO function is complete, with 2*LAN, 2*USB3.2, 2*COM, to achieve multi-machine networking, as well as long/short distance higher-speed data transmission and processing; 1*M.2 E-key 2230 supports Wifi5/BT5.0, meeting the wired/wireless network communication requirements of the logistics distribution drone platform; in addition, it also has 1*full-length Mini PCIe (PCIe X1 signal) expansion, supporting the access of PCIe functional modules to meet the user's other functional needs.
Drone Apron
The low-altitude economy requires not only the capability to “fly high” but also to “stand firm.” New low-altitude infrastructure, such as take-off and landing fields, is gaining increasing attention. With the continuous advancement of low-altitude logistics, the construction standards for drone aprons are also becoming more demanding. Among these, the edge computing systems deployed near drone landing and take-off areas are crucial for processing and analyzing drone data, thereby optimizing their operational efficiency and safety. This computing model integrates the real-time processing power of edge computing with the flexibility of drones, enabling faster decision-making and providing instant data processing support when needed.
Application Requirements
⭐ Drone aprons are equipped with high-definition cameras and sensors to monitor the surrounding environment in real-time. AI inference analyzes monitoring data to identify abnormal behavior or potential security threats, notifying management promptly.
⭐Environmental monitoring sensor networks provide drones with sensitivity to external conditions. These sensors continuously monitor and analyze key parameters such as wind speed, temperature, and humidity. The data is processed by AI algorithms to support flight decisions, ensuring safe operations in optimal environmental conditions.
⭐When a drone apron serves multiple drones, operational coordination is essential to ensure efficient and safe take-offs and landings for all aircraft. Intelligent scheduling systems powered by edge computing act as the command center, intelligently planning flight missions and maintenance cycles based on task demands and drone status.
⭐Edge computing devices collaborate with cloud platforms tailored to the apron, enabling users to remotely control the apron and drone systems. Functions such as route planning, issuing flight plans and commands, and collecting multi-dimensional data can be executed quickly, achieving fully autonomous operations.
JHCTECH Product Solution
The JHCTECH BRAV-7121, developed with NVIDIA Jetson Orin NX, offers low power consumption and high performance. With computing power of up to 100 TOPS and power consumption as low as 25W, it meets the AI inference requirements for drone landing aprons, providing robust AI support. The device features onboard 8GB/16GB memory with support for external NVMe storage, ensuring efficient and secure data handling. It also comes with a rich set of IO interfaces, including 2 LAN ports, 2 CAN ports, 2 COM ports, and multiple USB ports, to enable high-speed access and analysis of external environmental monitoring data. Additionally, a 1*M.2 3052 B-Key with a SIM card slot supports 4G LTE or 5G NR wireless modules, facilitating communication and intelligent scheduling for multiple drones.