With the continuous development of satellite technology, the acquisition and processing of satellite remote sensing data have become increasingly common. However, at present, satellites still use a mode of transmitting data back to the ground and utilizing ground CPU/GPU platforms for intelligent processing, which is inefficient due to the process of data transmission between the satellite and the ground. This article studies the application method and implementation of real-time remote sensing image recognition by integrating the Yulong810 on-board intelligent module on a satellite based on the YOLOv3 object detection algorithm. In response to the actual needs of satellite remote sensing image recognition, the algorithm is optimized based on the Yulong810 on-board intelligent module, which improves the recognition efficiency and reduces power consumption while ensuring the accuracy of remote sensing image recognition. By comparing with ground CPU/GPU platforms, the results show that the Yulong810 on-board intelligent module has lower power consumption and higher efficiency, and the recognition accuracy is comparable to that of ground platforms, which can completely replace ground remote sensing image detection equipment when integrated into satellites. By integrating the module into the satellite, real-time intelligent processing can be achieved in orbit, improving the efficiency of satellite remote sensing image recognition.
KEYWORDS: Temperature metrology, LCDs, Transceivers, Temperature sensors, Data transmission, Electronics, Data communications, Agriculture, Wireless communications, Control systems
This paper designs a multi-point wireless temperature monitoring system based on NRF24L01. The system consists of a master node and three slave nodes. The slave node uses the STM32 CPU to control the temperature sensor DS18B20 to collect temperature, and wirelessly sends the collected temperature data to the master node through the wireless transceiver module NRF24L01, and displays the temperature in real time on the TFT LCD display of the node. The master node uses STM32 CPU to control the wireless transceiver module NRF24L01 to receive the temperature data sent from multiple slave nodes, and at the same time displays the temperature data of multiple slave nodes on the TFT LCD display of this node in real time, if it exceeds the range of the temperature setting value , the monitoring system alarms. The advantage of this design is the use of wireless data transmission, multi-point data collection, avoiding wiring difficulties during wired transmission, and saving resources, and through test verification, the wireless temperature data transmission distance between the master node and the slave node can reach 100 meters , the temperature measurement accuracy is 0.1 °C.
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