At this year's Embedded World, industry players compete to showcase a variety of products around the edge of the Internet of Things, and actively publish a complete IoT ecosystem or platform to target hidden security risks in a closed loop environment.
At this year's Embedded World 2018, exhibitors from around the world focused on "edge compuTIng", emphasizing the processing of more data on edge devices. To avoid transmitting sensitive data to the cloud.
This may be due to the European Union's (EU) General Data Protection Rule (GDPR) coming into full force on May 25, or perhaps simply because the current device lacks sufficient security.
A recent report on Internet of Things (IoT) network security points the reason to the latter. Lawrence Munro, vice president of Trustwave SpiderLabs, a security company, released the IoT network security survey report. "With the continued popularity of the Internet of Things, manufacturers are eager to bring products to market, ignoring the importance of the network security foundation. We have seen that these manufacturers are not familiar with the concept of security coding, resulting in product vulnerabilities, some have been integrated into the final design for more than a decade. Because updating the IoT product is inherently challenging, even if the patch is released (patch), many products are still vulnerable, and patches are usually not developed. Vendors need to properly record and test each product connected to the network in their network, or face thousands Tens of thousands of potential new attacks that are easily used by cyber attackers to commit crimes."
He added: "Any device or sensor with an IP address can open the back door once it is connected to the company's network, causing devastating network security incidents."
The report also mentions that the application of the Internet of Things is growing rapidly. It is expected that by the end of 2018, about 5/6 of organizations will adopt a certain degree of Internet of Things technology, and security concerns will become the primary factor hindering the popularity of the Internet of Things.
Embedded World 2018
Therefore, it is not surprising to see a variety of related product announcements and presentations around the Internet of Things edge computing in this year's Embedded World. In addition, industry players are actively publishing complete IoT ecosystems or platforms that target security risks hidden in closed loop environments.
IoT chip supporting multiple wireless protocolsNXP Semiconductors (NXP) is actively addressing the importance of IoT edge computing capabilities. Geoff Lees, senior vice president and general manager of microprocessors at NXP, said: "The edge node system with self-learning capabilities has begun to affect the Internet of Things and has been extended to gateways and edge devices for processing. Future edge operations will require high-performance operations. Capacity, security of data collection, management and decision making capabilities."
In the NXP showcase, the ultra-small IoT-on-a-chip package integrates the capabilities of the i.MX application processor family and supports Wi-Fi/Bluetooth standards for consumer and industrial product development. People can quickly build small IoT products. Lees said that the company's proprietary ultra-low leakage SRAM reduces static leakage by 10 times compared to traditional memory and can be used with Samsung's non-volatile STT-MRAM memory to achieve 1,000 times faster wake-up time. It has 400 times lower write power than traditional embedded flash memory and can achieve 100 times longer battery life, creating an "instant-on" IoT edge node product.
Texas Instruments presents its SimpleLink MCU platform at Embedded World and announces new MCUs that provide multi-standard and multi-band connectivity for Thread, Zigbee, Bluetooth 5 and Sub-1 GHz
STMicroelectronics (ST) showcases the latest STM32WB wireless SoCs, combining microcontrollers (MCUs) and the ability to support multiple communication protocol standards for the Internet of Things. These devices incorporate ARM Cortex-M4-based multifunction MCUs to perform major applications, as well as the Arm Cortex-M0+ core to ease the burden on the host processor and provide Bluetooth Low Energy (BLE) 5 and IEEE 802.15.4 communication standards for implementation. Instant work. In addition, the wireless feature supports other wireless protocols, including OpenThread, ZigBee, or proprietary protocols, providing more options for connecting to the Internet of Things.
Michel Buffa, General Manager of ST Microcontrollers Division, said: "End users are constantly pursuing smarter networking products with better features and more affordable prices. The STM32WB series provides advanced integration and dual core performance that developers need to meet the needs of users. In addition, the compatibility of the STM32 development ecosystem brings design advantages that significantly reduce time-to-market for new products such as smart lights, fitness trackers, medical monitors, beacons, tags and security devices."
STMicroelectronics STM32WB circuit diagram
GreenWaves Technologies is another company that emphasizes processing at the edge. The company's GAP8 IoT application processor uses the parallel ultra-low power (PULP) computing open source platform developed by the University of Bologna and ETH Zurich based on RISC-V technology. Develop, deploy, and autonomously operate intelligent sensing devices to capture, analyze, and classify images, sounds, or vibrations to create actions. Optimized GAP8 performs a wide range of imaging and audio algorithms, including Convolutional Neural Network (CNN) inference, and is highly energy efficient thanks to the integrated 8-core computing cluster and convolution hardware accelerator.
S3 Semiconductors, based in Dublin, showcased its SmartEdge platform, which provides a cost-optimized, custom single-chip solution that meets the performance requirements of the IoT edge. The company said that processing at the edge is a fast-moving trend that accelerates data analysis at the source and reduces reliance on cloud processing for faster decision making.
Edge devices typically require a high-sensitivity sensor analog-to-front (AFE) coupled to a data converter, an MCU that implements complex embedded software, security, and support for wired or wireless communication interfaces. Bringing all of these together, often requires local correction and low-latency, immediate control, creating tremendous design and integration challenges. S3 indicates that its platform integrates sensing, correction, control and communication functions in a single ASIC.
Edge to fog computing and industrial internet of thingsKontron also stressed that many industry players are reluctant to put data in the cloud, which is why the company focuses on local computing and storage. Kontron said that embedded servers or fog servers will be a huge growth area. The fog server is similar to the cloud system but is located locally. Kontron said the company is able to allow customers to add more intelligence to the device side.
For its edge-to-fog computing strategy, Kontron has launched an embedded server, ZINC CUBE C232, designed specifically for applications that perform complex computing tasks such as machine learning or artificial intelligence (AI) that requires processing and analyzing large amounts of data. It features a platform design for industrial applications, analysis, AI and embedded vision. This embedded server supports Time-Dependent Network (TSN), which can connect up to four ports for edge and fog operations. It can be equipped with 7th generation Intel server-class processors and supports up to 32GB of DDR4 RAM. Memory.
Kontron also announced a partnership with NXP to bring more intelligence and efficiency to the next generation of industrial IoT edge devices, including cloud computing, edge computing and factory-side innovation, the so-called Industry 4.0.
General Electric (GE)'s GE Power also launched a new generation of Industrial Internet Connection Control (IICS) solutions at Embedded World. Vibhoosh Gupta, senior product manager for the company's automation and control division, said: "We make machines as smart as possible. Cloud platforms may provide a more flexible computing environment, which is very helpful for fleet management, but for real-time analysis. For applications, sending data to the cloud can cause delays in data processing, so we have no choice but to go to the edge."
The GE IICS solution provides storage, analysis, and fast transfer of data from the edge of industrial systems. The company mentioned that only a small portion of the data is used in industrial processes, so the system uses the GE Predix analysis suite for edge and cloud respectively. In order to better use the data produced in these processes to reduce downtime and reduce operating costs.
Renesas Swift Ethernet Module MarketRenesas Electronics announced in the conference that it will enter the industrial Ethernet network module market and further enhance its chip business. The company claims that its new I-RJ45 is a complete solution for industrial Ethernet interfaces, with full electronics and software capabilities added to the RJ45 connector.
The solution integrates single or dual RJ45 connectors and supports a variety of industrial network slave applications, including sensors, transmitters, gateways, operator terminals and remote I / O. In addition, it includes an intelligent RJ45 module with embedded software to support multiple Industrial Ethernet protocol stacks. Software kits and sample code provide system builders with a complete set of tools and architectures to help them build applications without any additional front-end costs and complexity.
Renesas I-RJ45 Industrial Ethernet Module
The I-RJ45 module solution is a ready-to-use hardware and software solution that has been pre-certified with PROFINET for use in mass-produced applications. Renesas Electronics plans to support future industrial communication protocols including EtherCAT and EtherNet/IP. Easily connect to the protocol software using a common application programming interface (API) and integrate with other ASSP solutions from Renesas Electronics.
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