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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.

ModBerry M500 series with SSD/M.2 support and next level configurability

In 2017, TECHBASE Group introduced an industrial-grade automation controller, based on popular Raspberry Pi 3 board. The device called ModBerry M500 incorporated latest Raspberry Pi SBC and TECHBASE’s standard industrial board to enhance the capabilities of market RPi3.

ModBerry M500 added wide range of I/Os to the board, including RS232/485 serial ports, digital and analog I/Os, 10/100Mbps Ethernet port, USB, 1-Wire and optional CAN. ModBerry series also offers additional wired interfaces and wireless communication modules with their proprietary modules called ExCard. The range of wireless modules include 3G/LTE, NarrowBand-IoT (NB-IoT), Wireless M-Bus, ZigBee, LoRa, Sigfox, Wi-Fi, Bluetooth and many more.

Rasbperry Pi 4 upgrade of ModBerry M500

In 2019, with the premiere of Raspberry Pi 4, TECHBASE upgraded their ModBerry M500 device with the latest revision of this popular SBC, further enhancing the performance of their device. New 1.5GHz quad-core 64-bit ARM Cortex-A72 processor (approximately 3 times better performance than previous Cortex-A53 powering Raspberry Pi 3+ Model B and Compute Module 3 and 3+). ModBerry M500 can now be configured from 2GB / 4GB LPDDR4 SDRAM options.

Revised ModBerry M500 features Gigabit Ethernet, USB3.0, two microHDMI ports supporting OpenGL ES 3.x and 4Kp60 hardware decode of HEVC video. The device is fully compatible with previous versions of Rasbperry Pi based Industrial IoT devices and accessories from TECHBASE.

M.2 SSD support for ModBerry M500

Latest software update for Raspberrry Pi 4, now available in beta, makes it possible to boot directly from USB 3.0 connected drive, without the need for an SD card. With a possibility to run the OS directly from SSD is a massive breakthrough, allowing users to improve the performance of the system and data access speed.

ModBerry M500 offers now a feature to include M.2 SSD drive in industrial-grade device. The merge of industrial interfaces and SSD-boosted Raspberry Pi 4 is a perfect solution for on-site data management and gateway application.

ModBerry M500 roadmap for 2020+

Difficult times of coronavirus outbreak in early 2020 changed the expectations for new Industrial IoT devices. Slowed market needed some adjustments to overly expanded devices with reserve of not quite necessary features for different applications – often raising the price of the device.

New addition to ModBerry M series and Industrial IoT Ecosystem offered by TECHBASE Group is the revised ModBerry M500 Lite device, to ensure the full configurability of device’s resources.

ModBerry M500 Lite features:

  • Quad-core ARM Cortex-A72 1.5GHz processor
  • 2/4GB and new 8GB LPDDR4 RAM option
  • SSD M.2 support for mass storage boot
  • Industrial-grade enclosure with DIN-rail mount
  • RTC

ModBerry M500 Lite optional resources:

  • Serial RS232/422/485 ports
  • Digital and Analog I/Os
  • Relays
  • 10/100Mbps Ethernet
  • CAN, 1-Wire
  • M-Bus Master / Slave
  • TPM Security chip
  • OLED 0.96” screen
  • SuperCap UPS

New ModBerry M500 Lite not only is a versatile device with wide array of available optional resources, but also incredible fast with quad 1.5GHz processor, up to 8GB RAM and last but not least, M.2 SSD bootable drive for system, applications and rapid data availability, without the need to bootstrap an SD card. RTC with watchdog option and additional TPM Security chip ensures data safety and breach protection.

Pricing and availability of ModBerry M500 Lite

Price of the device is yet to be specified, but it will be significantly lower than standard ModBerry M500, which can be configured here. Preliminary devices are available to order – please contact our sales department via contact form or Live Chat at https://iiot-shop.com/ to receive a quotation for the configuration needed.

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

Battery powered IoT devices crucial to 2020+ standards

Technology must transfer data to the central system in real time, otherwise it may have negative consequences. If the sensor battery power runs out, a machine failure may stop production for one day or lead to direct danger. If battery life is unbelievable and short, IoT applications will become useless, causing more interference rather than making life easier for its intended purpose. Therefore battery powered IoT devices come as a standard in up-to-date IoT installations

Wireless sensors and sensor networks are one of the elements of the Internet of Things systems and intelligent factories. Replacing the standard sensors and data collection devices with versions that communicate wirelessly gives many benefits, but also enforces a highly thought-out system design that will minimize energy consumption. This is important because these systems must work for many years without servicing. In the article we present the issues regarding the design of systems and forecasting of energy consumption in IoT systems.

Wireless communication vs Battery power

The idea of wireless sensor networks has been around for at least two decades, while the IEEE subgroup working on personal wireless networks defined the 802.15.4 standard in 2003, a year later the first versions of ZigBee appeared. Since then, many varieties of wireless communication have been developed, such as LoRa & NarrowBand-IoT and additional functions introduced, as a result of which designers now have a choice of various open or proprietary protocols. What significantly affects the way the entire project is implemented is energy consumption.

Obrazek posiada pusty atrybut alt; plik o nazwie battery-iot-esp32-1030x386.png
Battery powered IoT installation. Source: https://modberry.techbase.eu/

The basic elements of these systems are sensors that measure physical quantities. Some signal and data processing capabilities are also important. After all, the communication interface is important, which will allow you to pass the measured data on. Such a sensor node should wake up from time to time, make contact with its superordinate controller, transfer data and fall back to sleep again. Battery life depends on the total charge collected. Minimizing this consumption in the long run means that you need to minimize energy consumption during each work cycle. In many cases, the sensor will only work for a small fraction of the time. A measurement that lasts a few milliseconds can be triggered once per second, once per minute, or even less frequently. Therefore, the energy consumed in sleep mode may dominate the total energy consumption.

Battery-ready IoT devices based on ESP32

Battery / SuperCap power support allows the processes and data to be securely executed, saved or transferred, and the operating system to be safely shutdown or reboot, if the power source has been restored. The power failure alert can also be sent to cloud service, to perform custom task, specified by user or self-learning AI algorithm.

The Moduino device is a comprehensive end-point controller for variety of sensors located throughout any installation. It fully supports temperature and humidity sensors and new ones are currently developed, e.g. accelerometer, gyroscope, magnetometer, etc.

Battery powered Moduino ESP32
Battery powered IoT installation. Source: https://modberry.techbase.eu/

ModuinoModBerry symbiosis allows wide range of wake-up/sleep schedule customization, in order to perform best and save energy accordingly to power supply state. Arduino and MicroPython environments provide libraries to control different scenarios of data and power management.

With built-in algorithms and the possibility to program on your own, the TECHBASE’s sleep/wake addon module can wake the device using schedule/timer. Another option is wake on external trigger, e.g. change of input, etc. All the options for sleep, shutdown and wake can be configured for various scenarios to ensure constant operation of devices, safety of data and continuity of work in case of power failure in any installation. Check battery-powered Moduino X0

Almost half of IoT developers use AI in their projects

The latest research results from IoT Newark developers reveal that 49% of respondents use AI in their IoT applications. There is also a growing concern about user privacy and the more frequent introduction of ready equipment.

35% of respondents think security is the major concern for any IoT implementation, mainly due to the type of data collected from the things (machines) and humans, which is very sensitive & personal. We can expect to see more and more encryption everywhere. Businesses who initiate IoT projects treat IoT security as their top priority.

SBCs the main platform for Industrial IoT

SBC is still the preferred hardware foundation for IoT gates, then 54%, followed by personal projects (30%) and silicon supplier platforms (13%). It is unclear whether the latter includes a commercial computing module. As shown in the graph above, many IoT programmers need third party help, especially for edge-to-cloud communication.

About 45% of respondents use environmental sensors for IoT devices, followed by motion sensors (26%) and optical / image sensors (15%). WiFi (67%) is the most popular wireless technology in Internet of Things projects. The next places are Low cellular energy and Bluetooth, followed by LoRa at 21%. The survey results also include responses to programming languages, cloud platforms, IoT data, project motivation and more.

Artificial Intelligence influencing Industrial IoT

From the end of 2017 to 2018, artificial intelligence-specific processors (AI) began to appear on mobile devices. The goal is to make smartphones more intelligent. As GPUs shrink, AI-related equipment becomes necessary for the Internet of Things.

Support for enterprises from platforms such as Google TensorFlow will be introduced in 2020 with equipment adapted to artificial intelligence. TensorFlow is already optimized for mobile devices and can be quickly launched on single-board computers. In many ways, AI frameworks are better than other mobile frameworks, such as ReactJS. The AI structure is not designed to work with the user interface. It’s perfect for the Internet of Things.

Until the end of 2020, artificial intelligence will be as important for IoT devices as the cloud.

COVID-19 monitoring set based on Raspberry Pi

COVID-19 monitoring set based on Raspberry Pi

Raspberry Pi devices are often used by scientists, especially for capturing and analyzing biological data. A particularly noteworthy sober project has published news this week.

According to the researchers at UMass Amherst, FluSense is about the size of a dictionary. Includes an inexpensive microphone set, heat sensor, Raspberry Pi and Intel Movidius 2 neural engine. The idea is to use AI on the edge to classify audio samples and determine the number of people in a room at any given time.

Image courtesy of the University of Massachusetts Amherst

We believe that FluSense has the potential to expand the arsenal of health surveillance tools used to forecast seasonal flu and other viral respiratory outbreaks, such as the COVID-19 pandemic or SARS,” Rahman told TechCrunch. “By understanding the ebb and flow of the symptoms dynamics across different locations, we can have a better understanding of the severity of a novel infectious disease and that way we can enforce targeted public health intervention such as social distancing or vaccination.

Source: https://www.networkworld.com/article/3534101/covid-19-vs-raspberry-pi-researchers-bring-iot-technology-to-disease-detection.html

Crowd monitoring with Raspberry Pi

The device distinguishes cough from other sounds. By combining cough data with information about the size of the crowd at your location, you can get an index that predicts the number of people who may be experiencing flu symptoms.

Currently we are planning to deploy the FluSense system in several large public spaces (e.g., large cafeteria, classroom, dormitories, gymnasium, auditorium) to capture syndromic signals from a broad range of people who live in a certain town or city,” they said. “We are also looking for funding to run a large-scale multi-city trial. In the meantime, we are also diversifying our sensing capability by extending FluSense’s capability to capture more syndromic signals (e.g., recently we added sneeze sensing capability to FluSense). We definitely see a significant level of commercialization potential in this line of research.

https://www.raspberrypi.org/blog/flusense-takes-on-covid-19-with-raspberry-pi/
Raspberry Pi Compute Module 4

Raspberry Pi Compute Module 4 coming soon? Check possible specification.

UPDATE 22.10.20: ModBerry 500 with Compute Module 4 available for pre-order

TECHBASE’s ModBerry industrial computer series has received an update to Compute Module 4 and is available for pre-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.

Main features of updated device are:

  • up to 4x faster eMMC Flash with up to 32GB storage
  • up to 2x faster performance of CPU apllications than previous CM3 version
  • up to 8x more RAM (8GB LPDDR4)
  • optional 1Gbit Ethernet interface
  • optional PCIe card support for NVMe SSD drive (via M.2)
  • optional second PCIe support for wireless modem solutions

First orders will be ready with subject to the availability of the CM4 module itself.

Update on Raspberry Pi’s Compute Module 4 features [15.10.2020]

According to latest leaks about Compute Module 4 specifiaction and features we can be more than sure that:

  • New Compute Module will feature Wi-Fi and Bluetooth on-board! Raspberry Pi Compute Module series will probably include versions with and without these modems to provide modules for variety of industrial applications.
  • PCI-Express line will be available externally to enable extension support via PCIe
  • Ethernet support will be enabled, most probably 1Gbps, since it is a standard in latest Raspberry Pi 4B.
  • 5x UART will be available to Compute Module 4 users

It seems a matter of time before the Raspberry Pi Compute Module 3+ will get its own successor, probably called Compute Module 4, a new milestone of professional embedded IoT module

Possible Raspberry Pi Compute Module 4 specification

  • Broadcom BCM2711, Quad core Cortex-A72 @ 1.5GHz will highly plausible replace previous Broadcom BCM2837B0, Cortex-A53 64-bit SoC @ 1.2GHz,
  • 1GB, 2GB or 4GB LPDDR4-3200 SDRAM will become a standard options, instead of fixed 1GB LPDDR2 SDRAM,
  • Current flash memory (eMMC) options: 8GB / 16GB / 32GB from CM3+ will probably stay the same,
  • H.265 (4kp60 decode), H264 (1080p60 decode, 1080p30 encode) might replace outdated H.264 (1080p30),
  • and OpenGL ES 3.0 graphics will replace 1.1, 2.0 versions,
  • weight and factor will stay the same, to provide a possibility to upgrade current IoT applications of CM3 and CM3+

A Lite 4 version of Compute Module is to be expected too, without eMMC and probably limited SDRAM options.

Rasbperry Pi Compute Module 3+

ModBerry, the first Industrial Raspberry Pi application

With Compute Module 3+ options from Raspberry Pi, TECHBASE upgraded our ModBerry 500/9500 industrial computers. From now on the ModBerry 500/9500 can be supported with extended eMMC, up to 32GB. Higher memory volume brings new features available for ModBerry series.

Raspberry Pi 4 Model B

Updated M500 Industrial IoT device with latest Raspberry Pi 4

The newest addition to TECHBASE’s Industrial IoT Ecosystem is an updated ModBerry M500 with latest Raspberry Pi 4 development board, equipped with a 1.5GHz quad-core 64-bit ARM Cortex-A72 processor (approximately 3 times better performance than previous Cortex-A53 powering Raspberry Pi 3+ Model B and Compute Module 3 and 3+). ModBerry M500 can be configured from 1GB / 2GB / 4GB LPDDR4 SDRAM options.

Gigabit Ethernet & USB 3.0 on-board

Another new and appreciated feature is an upgrade to full-throughput Gigabit Ethernet for fast network connection and 2x USB 3.0 / 2x USB 2.0 for additional I/O, data storage extension and fast wireless modem support. ModBerry M500 with Rasbperry Pi 4 has dual-band 802.11ac Wi-Fi and Bluetooth 5.0 on-board. For additional wireless networks expansions, you can choose from variety of Industrial IoT modems from TECHBASE offer, incl. 3G/LTE, NarrowBand-IoT (NB-IoT), Wireless M-Bus, ZigBee, LoRa, Sigfox, Wi-Fi, Bluetooth and many more.

Enhanced Video support for RPi4

The full HDMI port has been replaced with two microHDMI ports with dual monitor support, at resolutions up to 4K, VideoCore VI graphics, supporting OpenGL ES 3.x and 4Kp60 hardware decode of HEVC video. The device is fully compatible with previous versions of Rasbperry Pi based Industrial IoT devices and accessories from TECHBASE.

Raspberry Pi 3 Model B Modberry M500

Raspberry Pi 4 based ModBerry M500 availability

New ModBerry M500 with three variants of Raspberry Pi 4 based devices is available for pre-orders via https://iiot-shop.com/product/modberry-m-series/ For specific delivery time please contact us via e-mail or Live Chat, directly at Industrial IoT Shop.

eSIM support for Rasperry Pi based ModBerry industrial device

The embedded SIM card (eSIM) is a form of programmable SIM card that is directly built in the device. eSIM is a global GSMA specification that enables remote SIM delivery to any supported device, and GSMA defines eSIM as the SIM card for the next generation of connected consumer / professional devices and network solution with the use of eSIM technology.

Easy SIM operator swap

In Industrial IoT applications in which there is no need to change the SIM card, the need of using a connector is avoided, which increases reliability and data security. eSIM can be remotely configured – users can add or change operators without having to physically swap the SIM card from the device. It is often a crucial requirement for the installations where factors such as temperature, water and shock resistance, as well as lack of access forces user to choose remote solutions.

eSIM Raspberry Pi Connvectivity

Raspberry Pi & ESP32-based devices

TECHBASE company is now developing eSIM support for Raspberry Pi and ESP32 industrial devices, such as ModBerry and Moduino X to improve the handling of wireless modem connectivity. To receive an offer for ModBerry/Moduino device with eSIM-based modem, contact our Sales Department via e-mail or Live Chat.

ESP32 Serial Port

Arduino ESP32 Serial Port to TCP Converter via WiFi

In this class, you will create serial port to TCP converter using Arduino code running on ESP32 processor. We will use one of device which uses such processor: Moduino X ESP32. For TCP communication WiFi module will be used.

You will need:

  • Moduino X2 (may be also X1) ESP32 device (check this website to find out more)
  • PC with Linux operating system
  • socat application
  • RS-232/RS-485 port in your computer or USB to RS-232/RS-485 converter (for programmming and testing)

Introduction

In our example data sent to serial port (which is used as terminal port in regular Micropython ESP32 device) will be send via WiFi using TCP protocol. It also decodes incomming TCP packets and writes them to serial port.Then virtual serial port can be opened for that TCP packets and perform serial communication.We will use socat application for that.

You can read the complete tutorial at Hackster.io: