
Heat dissipation and temperature derating - the key to wide temperature reliability
DLAP-211 adopts a fanless passive heat dissipation design, with natural convection heat dissipation through the shell fins. But in order to ensure stable operation within a wide temperature range, the manual clearly provides a power consumption based derating thermometer:
Platform Power Consumption (TDP) Maximum Operating Temperature (requires 0.6m/s airflow)
10W 70℃
15W 60℃
25W 50℃
Maximum power (MAX N) 40 ℃ (at this time, mPCIe interface components require industrial grade 85 ℃ specifications)
Key interpretation:
The default power consumption of the Orin NX/Nano series is relatively high. If the ambient temperature exceeds 50 ℃, forced air cooling of 0.6m/s or more must be provided inside the chassis, or power consumption can be limited through software frequency reduction.
For Jetson Nano (approximately 5W) or TX2 NX (approximately 10W), it is easier to meet the 70 ℃ environmental requirements.
The manual specifically states that accessories for mPCIe interfaces (such as 4G/Wi Fi cards) must be selected from industrial grade wide temperature models (with a working temperature specification of 85 ℃), otherwise they may fail due to excessive temperature.
Practical advice:
When installing in a closed cabinet, it is recommended to add small fans to promote air flow, which can effectively reduce the temperature of the enclosure by 5-10 ℃.
If long-term operation in environments above 65 ℃ is required, it is recommended to choose low-power models (such as Jetson Nano) and disable non essential CPU/GPU cores.
Power and adapter selection
DLAP-211 adopts 12V DC input and comes with two types of adapters as standard:
84W (12V/7A): Used for Orin NX 16GB (high power consumption), with an adapter operating temperature limit of 55 ℃.
60W (12V/5A): Used for all other models, with an upper working temperature limit of 45 ℃ for the adapter.
Important limitation: The working temperature of the adapter itself is lower than that of the host. If the on-site environment exceeds 45 ℃ (60W) or 55 ℃ (84W), an industrial grade power module or remote power supply (placing the adapter in a cooler position) must be used.
Extended functionality and accessory ecosystem
6.1 Optional FM board (S model)
Partial ordering codes with suffix "S" (such as certain PN codes of DLAP-211-Orin NX 16GB) refer to models that include FM expansion boards, which provide additional GPIO, relays, etc. through 37 pin D-sub, and increase the body thickness to 64mm. If this requirement is not met, models without FM boards (thinner) can be selected.
6.2 Storage Expansion
The Orin series comes pre installed with 128GB M.2 2242 PCIe Gen3x4 SSD (Ubuntu is pre installed on the system).
Some models support NVMe SSD expansion (with YES at the end of the ordering code). Users can choose M.2 2242 NVMe or SATA drives with larger capacity (256GB/512GB/1TB) according to their needs (refer to accessories list such as 95-36400-4E10).
For Nano/TX2 models, an SD card slot is provided for external insertion of large capacity SD cards to expand storage.
6.3 Installation method
VESA bracket (standard): can be mounted on the back or wall of the monitor.
DIN rail (optional, 91-95301-0010): easy to install inside the control cabinet.
Software Support and Development Environment
DLAP-211 comes pre installed with Linux Ubuntu operating system (JetPack SDK) at the factory, supporting acceleration libraries such as NVIDIA CUDA, cuDNN, TensorRT, etc. Developers can use the following tools to quickly deploy AI models:
NVIDIA DeepStream SDK (Video Analytics)
NVIDIA Isaac (Robot)
TensorFlow/PyTorch (General AI)
In addition, ADLINK provides WDT (watchdog timer) support, which can automatically restart in case of system deadlock, improving the reliability of unmanned systems.
Typical application scenarios and model recommendations
8.1 Intelligent Retail (Self checkout, Customer Flow Analysis)
Requirement: Recognition of multiple types of products, facial detection, moderate computing power.
Recommendation: DLAP-211 Orin Nano 8GB (40 TOPS), cost-effective, capable of processing 2-4 1080p video streams simultaneously.
8.2 Industrial quality inspection (defect detection, OCR)
Requirement: High precision, batch processing, requiring a large amount of video memory.
Recommendation: DLAP-211-Orin NX 16GB (100 TOPS+16GB RAM), can load high-precision models such as YOLOv8 or ResNet-50, and supports NVMe storage of large amounts of sample images.
8.3 Autonomous Mobile Robots (AMR)
Requirements: SLAM, obstacle avoidance, navigation, requiring CAN bus communication.
Recommendation: DLAP-211-JNX 16GB (21 TOPS), equipped with CAN 2.0b interface, moderate power consumption, supports a wide temperature range of -20 ℃~70 ℃, suitable for outdoor mobile scenarios.
8.4 Intelligent street lights/parking lots (low-power wireless)
Requirement: Simple vehicle detection and parking status, requiring 4G feedback.
Recommendation: DLAP-211 Nano (472 GFLOPs), with extremely low power consumption, can be deployed in outdoor pole boxes with 4G LTE modules and SD card storage.
Deployment and Maintenance Practical Suggestions