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RK3568 SBC vs Raspberry Pi Compute Module 4 in Industrial IoT

Radxa, in collaboration with Rockchip’s Toybrick division, began sampling the new community-supported SBC built around Rockchip RK3568 with NPU. ROCK 3A is basically a little brother of ROCK Pi 4, with some improvements from the experience on ROCK Pi 4, the main features are:

  • RK3568 based, Quad A55 up to 2GHz, Mali G52 GPU, 0.8T NPU
  • pluggable eMMC module, 2/4/8GB LPDDR4 3200MT/s, dram controller frequency up to 1560MHz
  • QC/PD power support, with a new generation QC/PD protocol IC
  • Two USB2 same as ROCK Pi 4, two USB3(1x OTG+1x HOST), the two USB3 can be configured in SATA mode with a SATA breakout cable
  • GbE with PoE support
  • M.2 M key for NVMe with PCIe 3.0 x2 lanes
  • M.2 E key for connectivity with PCIe 2.0 x1/SDIO/UART, support WiFi 6 cards
  • 1x MIPI DSI, 1x MIPI CSI, compatible with ROCK Pi 4
  • 40P GPIO mostly compatible with ROCK Pi 4

Source: https://forum.radxa.com/t/new-rock-3a-brought-to-you-by-radxa-and-rockchip/6800

Radxa ROCK 3A
Radxa ROCK 3A

ROCK 3A will run Debian 10, maintained by the Toybrick team. Other community distributions will also be supported too. Early samples(few) for developers are ready. A larger batch will be available in late August 2021. As for an alternative, Raspberry Pi Compute Module 4 based devices are ready for orders.

ModBerry 500 CM4 an ultimate solution for IoT monitoring

TECHBASE’s ModBerry industrial computer series has received an update to Compute Module 4 and is available for orders. TECHBASE is leading manufacturer of Industrial Raspberry Pi and Industrial Compute Module solutions. ModBerry 500 series is fully compatible with all releases of Compute Module from Rasbperry Pi foundation.

ModBerry 500 CM4, First industrial computer based on Raspberry Pi’s Compute Module 4

Main features of updated device are:

  • up to 4x faster eMMC Flash with up to 32GB storage
  • up to 2x faster performance of CPU appllications than previous CM3 version
  • up to 8x more RAM (8GB LPDDR4-3200)
  • 1Gbit Ethernet interface
  • PCI 2.0 card support for NVMe SSD drive (via M.2)
  • two PCIe support for wireless modem solutions, i.e. LTE/5G modems

New features of Compute Module 4

  • 1.5GHz quad-core 64-bit ARM Cortex-A72 CPU as in Raspberry Pi 4 version B
  • 1GB, 2GB, 4GB or 8GB LPDDR4-3200 SDRAM
  • 8GB, 16GB or 32GB eMMC Flash storage for Standard version, Lite version without eMMC
  • Optional 2.4GHz and 5GHz IEEE 802.11b/g/n/ac wireless LAN and Bluetooth 5.0
  • Single-lane PCI Express 2.0 interface
  • Gigabit Ethernet PHY with IEEE 1588 support
  • Dual HDMI interfaces, at resolutions up to 4K
  • 28 GPIO pins, with up to 6 × UART, 6 × I2C and 5 × SPI

Source: https://www.raspberrypi.org/blog/raspberry-pi-compute-module-4/



Available open source ventilator projects to help COVID-19 patients

When the news came out that ventilator shortages could be a problem, many saw the need for alternatives to the big manufacturers and rushed to create them. Unlike industrial projects, these projects were open and shared. Currently, Robert Reed and his group are starting to systematically evaluate the ranking of over 80 such open source projects.

Their work is a milestone in public research and development efforts to solve problems. For many ventilator builders, the group recognized the need for independent evaluation and testing of various projects. This control provides important feedback to both designers and future builders. This is a service you can expect from government regulators if they can act very quickly.

Reid and colleagues Geoff Mulligan, Lauria Clarke, Juan E. Villacres Perez and Avinash Baskaran to help to learn about these studies. This includes submission of modular team designs that allow distributed production and unique suggestions for testing and monitoring these systems. This is called VentMon.

Industrial Arduino-like devices as a base of medical equipment?

When industrial IoT devices and edge devices, like medical equipment work together, digital information becomes more powerful. Especially in contexts where you need to collect data in a traditional edge context, or control the servo-motors of a ventilatr. You can then remotely monitor the container using the sensor.

By introducing AI (artificial intelligence) into the device itself, edge computing can also make more context-sensitive, quick decisions at the edge. Data gathered from the sensors can be transferred to the cloud at any time after local work has been completed, contributing to a more global AI process, or archived. With the combination of industrial IoT devices and advanced technology, high quality analysis and small footprint will become the AI standard in 2020.

Industrial IoT use of ESP32 chip in eModGATE

Latest innovations used in industrial solutions

One of many uses of IoT can be edge devices, dedicated to data management, process control (e.g. with MQTT protocol) and monitoring. Latest ESP32-based eModGATE controller from TECHBASE company is a series utilizing MicroPython environment to provide data management solutions for end-points applications. The eModGATE has built-in Wi-Fi/BT modem and can be equipped with additional NarrowBand-IoT, LoRa, ZigBee, etc.

For example eModGATE eqipped with wireless NB-IoT modem are perfect for industrial automation solutions, e.g. data logging, metering, telemetrics, remote monitoring, security and data management through all Industrial IoT applications.

Raspberry Pi sales rise during coronavirus pandemic

In March, sales of Raspberry Pi single-board computers totaled 640,000. The consumer find it the cheapest way to start tinkering and drove to the second-largest sales month since Raspberry Foundation began selling for home use.

Other uses of Raspberry Pi computers are more directly associated with the appearance of COVID-19. For example, in Colombia, efforts are underway to run a ventilator on a Pi computer, and if successful, it will help solve the problem of the lack of traditional ventilation equipment in this country.

I think what this is telling us is that we’re seeing genuine consumer use of the product. It’s not like your desktop PC – you’re not going to be able play Crysis on it – but if you want a machine you can use to edit documents, use the web, use Gmail and Office 365 and all the baseline use cases of a general purpose computer, the Raspberry Pi 4 is a product we’ve made to get over that bar.

Eben Upton, the Raspberry Pi’s co-creator for Techrepublic

When the Raspberry Pi Foundation asked to talk about how to deal with COVID-19 using Raspberry Pi devices, one of the most common uses he saw was 3D printing with use of Raspberry Pi, especially for 3d-printed faceshields.

Raspberry Pi 4
Raspberry Pi 4

Arduino-based ventilator to help coronavirus patients

A month ago we wrote about Arduino-based solution, similar to the one tested in Columbia. As far as manufacturing and using home-made medical equipment is not advised, the spread of the COVID-19 might push humanity to such solutions. Johnny Lee’s project involves a simple, low-cost ventilator controlled via Arduino.

The idea is that since these machines are basically just blowers controlled by a brushless DC motor, an Arduino Nano equipped with an electonic speed controller could allow it to act as a one. Such a setup has been shown to provide more than enough pressure for a ventilator used on COVID-19 patients. This device has in no way been evaluated or approved for medical use, but it does provide a starting point for experimentation.

Source: https://blog.arduino.cc/2020/03/17/designing-a-low-cost-open-source-ventilator-with-arduino/

New #CoronaIOT initiative from Industrial IoT manufacturer

Trends indicate a weakening of many sectors of the economy, including the IoT sector. However, we can prevent the upcoming crisis with products and technology keeping up with the inevitable changes in our daily lives.

TECHBASE Group took the challenge of gathering potential partners for projects that serve improvement of health safety and worldwide trend of Social Distancing. The program will periodically present new IoT projects, involving manufacturers, software and hardware developers, new technology influencers and media.

Industrial Raspberry Pi powered devices as a base of medical equipment?

When industrial IoT devices and edge devices, like medical equipment work together, digital information becomes more powerful. Especially in contexts where you need to collect data in a traditional edge context, or control the servo-motors of a ventilator. You can then remotely monitor the container using the sensor.

By introducing AI (artificial intelligence) into the device itself, edge computing can also make more context-sensitive, quick decisions at the edge. Data gathered from the sensors can be transferred to the cloud at any time after local work has been completed, contributing to a more global AI process, or archived. With the combination of industrial IoT devices and advanced technology, high quality analysis and small footprint will become the AI standard in 2020.

ModBerry M500 with Raspberry Pi’s 4 on-board