The paper titled “Research on edge computing technology and its application in industrial Internet of things” published in the Journal of Physics discusses the concept of edge computing and its potential applications in the industrial Internet of things (IIoT). The authors explore how edge computing can address the challenges faced by IIoT, such as latency, bandwidth limitations, and data security concerns.
The paper provides an overview of edge computing architecture, including its components and deployment models. It also highlights the advantages of edge computing over traditional cloud computing, such as lower latency, improved data privacy, and reduced network congestion.
In addition, the authors discuss use cases of edge computing in IIoT, such as predictive maintenance, real-time monitoring, and augmented reality-based training. They also examine the key factors to consider when implementing edge computing solutions in IIoT, such as device compatibility, scalability, and security.
Overall, the paper presents a comprehensive analysis of the potential of edge computing technology in IIoT and highlights its importance in enabling organizations to leverage the benefits of digital transformation.
![/data # iw --debug dev wlan0 connect -w "lucky-5g" auth open key 0:1234567890
Usage: iw [options] dev connect [-w] [] [] [auth open|shared] [key 0:abcde d:1:6162636465] [mfp:req/opt/no]
Join the network with ...](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162239148267954.png)
![驱动代码
void kalRxTaskletSchedule(struct GLUE_INFO *pr)
{
static unsigned int num = 0;
tasklet_hi_schedule(&pr->rRxTask[(num++)%NR_CPUS]);
// tasklet_hi_schedule(&pr->rRxTask);
DBGLOG(HAL, ERROR,](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162226144313964.png)
