Wpisy

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Hyperautomation and IoT as inevitable road of every business

Hyperautomation is a process in which businesses automate as numerous commerce and IT forms as conceivable utilizing apparatuses like AI, machine learning, event-driven computer program, mechanical process automation, and other sorts of choice prepare and task automation instruments.

It is the key to both computerized operational greatness and operational resiliency for organizations. To empower this, organizations had to digitize their documents/artifacts and guarantee their trade and IT process workflows were advanced. They got to mechanize tasks, processes and coordinate computerization over utilitarian zones.

Hyperautomation is irreversible and inevitable. Everything that can and should be automated will be automated.

Brian Burke, Research Vice President, Gartner

Gartner prepared a Tech Trends 2021 summary with key features of the constantly changing market. Read more at: https://www.gartner.com/en/information-technology/trends/top-strategic-technology-trends-iot-gb-pd

Industrial IoT market evolution

Data generated over the Internet of Things is growing exponentially faster than the traditional cloud environment where data is stored, so just the amount of data can justify the acceleration. In addition, in the cloud as the destination, problems related to data transfer (delay and bandwidth) occur, so travel speed is the main issue. This edge is necessary as a solution to the inefficiency of IIoT to Cloud architecture.

Advantages of Industrial IoT in modern manufacturing and smart environments
Source: https://iotnews.asia/

Fast data processing of Industrial IoT devices

When industrial IoT devices and edge processing work together, digital information becomes more powerful. Especially in contexts where you need to collect data in a traditional edge context, such as a smart meter, a parking meter or a connected trash can in a street apartment. The installation of sensors with internet access in metropolitan garbage containers is becoming increasingly common for smart urban engineers. You can then remotely monitor the container using the sensor. When it is full, the city sanitation service receives a notification and can register an order and empty the container.

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 AI GATEWAY with Raspberry Pi CM4 and Google Coral

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.

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Raspberry Pi Compute Module 4 premiere a new milestone

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.

Pre-order ModBerry 500 CM4 NOW!

A day ago, Raspberry Foundation announced new member of its family, a Rasbperry Pi Compute Module 4. It’s quite obvious, even from the first look, that the new module is very different from its predecessors. Main difference is a new form factor, leaving DDR2 SODIMM in the past.

The same 64-bit quad-core BCM2711 application processor as in Raspberry Pi 4B, the Compute Module 4 brings higher performance: faster CPU cores, better multimedia, more interfacing capabilities, and, for the first time, a choice of RAM densities and a wireless Wi-Fi and Bluetooth connectivity options.

Compute Module 4 comes in 32 variants. Lite, as always, offers no eMMC memory, a and standard versions come with up to 8GB RAM, 32 eMMC Flash and wireless modem.

New Raspberry Pi Compute Module 4 in new form factor

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/

Compute Module 4 cutting edge in Industrial IoT

Few months ago IoT Industrial Devices predicted a possible release date for Compute Module 4 in Standard and Lite version:

Upcoming Raspberry Pi Compute Module 4 possible release date
Raspberry Pi release timeline with probable Compute Module 4 release date

First Rasbperry Pi 1B model had it’s analogy in industrial Compute Module 1 after almost 2 years from it’s premiere. Compute Module 2 was probably omitted because the change from RPi1 to RPI2 mainly involved a minor change of the processor (Cortex-A7 900MHz), which was almost immediately replaced with Cortex-A53 1.2GHz in Raspberry Pi 3.

The premiere of Compute Module 3 occured a year after RPI 3 announcement, providing a significant boost of industrial market solutions. Since Raspberry Pi 4 was a great success in 2019, we might see it’s equivalent in industrial series of Raspberry Pi – Compute Module 4. A possible release date of Raspberry Pi’s Compute Module 4 is mid-2020.

Raspberry Pi Compute Module 4 high-density connector

Raspberry Pi is gaining recognition in Industry

Almost a year ago, in the beginning of 2019, Raspberry Pi Foundation presented Raspberry Pi Compute Module 3+, a successor to previous CM3 version of development board, aimed at businesses and industrial users. The Compute Module uses a standard DDR2 SODIMM (small outline dual in-line memory module) form factor. GPIO and other I/O functions are routed through the 200 pins on the board.

Only a few months later, in June 2019, came big premiere of Raspberry Pi 4 Model B, the long-awaited successor of customer RPi3+. With new processor, larger RAM options and many input/output changes, became new standard in small, embedded PC world.

Raspberry Pi Compute Module 3+
Raspberry Pi Compute Module 3+

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. What might be the specification of this highly expected development board?

Industrial use of Compute Module

With Compute Module 3+ options from Raspberry Pi, TECHBASE upgraded their 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.

ModBerry 500 with Compute Module 3+
ModBerry 500 with Compute Module 3+

Higher performance of ModBerry 500/9500 with extended eMMC flash memory, up to 32GB , powered by quad-core Cortex A53 processor allows the device to smoothly run Windows 10 IoT Core system, opening up many possibilities for data management, remote control and visualisation.

Check Industrial use of Compute Module
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New Raspberry Pi Compute Module 4 features confirmed

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.

Pre-order ModBerry 500 CM4 NOW!

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

Official Raspberry Pi’s information about upcoming Compute Module 4

In recent interview with Eben Upton, the CEO of Raspberry Pi Trading, we finally had Raspberry Pi Compute Module 4 release confirmation, probably in 2021. He shared some details about the upcoming CM4 features, such as single-lane NVMe support.

The Raspberry Pi Compute Module, CM4, we will support NVMe to some degree on that,  because of course, it [Raspberry Pi 4] has a PCI Express channel. (…) We have a single lane Gen 2 which is used to supply USB 3.0 on the Raspberry Pi [4]. On the [Compute] Module that would be exposed to the edge connector and we’re likely to support NVMe over that.

Eben Upton, CEO of Raspberry Pi Trading

Raspberry Pi is gaining recognition in Industry

Almost a year ago, in the beginning of 2019, Raspberry Pi Foundation presented Raspberry Pi Compute Module 3+, a successor to previous CM3 version of development board, aimed at businesses and industrial users. The Compute Module uses a standard DDR2 SODIMM (small outline dual in-line memory module) form factor. GPIO and other I/O functions are routed through the 200 pins on the board.

Only a few months later, in June 2019, came big premiere of Raspberry Pi 4 Model B, the long-awaited successor of customer RPi3+. With new processor, larger RAM options and PCIe/NVMe support, CM4 might be a black horse of industrial automation in 2021.

It seems a matter of time before the Raspberry Pi Compute Module 3+ will get its own successor, called Compute Module 4, a new milestone of professional embedded IoT module. What might be the specification of this highly expected development board?

Raspberry Pi Compute Module 3+
Raspberry Pi Compute Module 3+

Raspberry Pi Compute Module 4 probable specification

Compute Module 4 specifications probably will look like these:

  • 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,
  • PCIe/NVMe support via single lane
  • Current flash memory (eMMC) options: 8GB / 16GB / 32GB from CM3+ will probably stay the same,
  • weight and factor will stay the same, to provide a possibility to upgrade current IoT applications of CM3 and CM3+

With much higher performance, the new Raspberry Pi Compute Module 4 will, for sure, support Gigabit Ethernet, USB 3.0 expansions with PCIe/NVMe single lane. We might even see wider working temperature range, if Raspberry Pi Foundation decides to make some hardware changes, to follow, for example, ESP32 – used in end-point IoT automation.

Industrial use of Compute Module

With Compute Module 3+ options from Raspberry Pi, TECHBASE upgraded their 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. Upcoming Raspberry Pi’s Compute Module 4 will be fully compatible with TECHBASE’s ModBerry 500/9500 controllers, oferring extended features.

ModBerry 500 with Compute Module 3+
ModBerry 500 with Compute Module 3+

Higher performance of ModBerry 500/9500 with extended eMMC flash memory, up to 32GB , powered by quad-core Cortex A53 processor allows the device to smoothly run Windows 10 IoT Core system, opening up many possibilities for data management, remote control and visualisation.

Check Industrial use of Compute Module

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Banana Pi BPI-M5 with quad-core processor and Android / Linux support

SinoVoip has released specifications for the Banana Pi BPI-M5 SBC, which has the same Amlogic S905X3 SoC and many of the same features as Hardkernel’s Odroid-C4. SBC updates the Banana Pi flagship design, including the latest Banana Pi BPI-M4 based on the A53 Realtek RTD1395 quad. The latest Banana Pi was the April BPI-F2P built around the A7 SunPlus SP7021 quad.

Banana Pi BPI-M5

Characteristics of BPI-M5

  • Processor — Amlogic S905X3 (4x Cortex-A55 @ up to 2GHz); 12nm fab; Mali-G31 GPU @ up to 650MHz
  • Memory/storage:
    • 4GB LPDDR4 RAM
    • 16GB eMMC with optional up to 64GB
    • MicroSD slot
  • Networking — Gigabit Ethernet port
  • Media I/O:
    • HDMI 2.0 port for up to 4K@60Hz with HDR, CEC, EDID
    • 3.5mm audio jack
  • Other I/O:
    • 4x USB 3.0 host ports
    • USB Type-C port for power
    • Serial debug header
    • 40-pin GPIO header (UART, I2C, SPI or PWM, 5V, 3.3V, GND, 28x GPIO)
  • Other features — IR receiver; 2x LEDs
  • Power — 5V DC via Type-C; power, reset, and boot switches
  • Dimensions — 92 x 60mm
  • Weight — 48 g
  • Operating system — Android, Linux

Source: http://linuxgizmos.com/fifth-gen-banana-pi-goes-amlogic/

Industrial use of market Banana Pi-like SBCs

A year ago, TECHBASE released an updated version of the ModBerry M500 industrial IoT computer, replacing the aging Raspberry Pi 3 with a 3B+, giving it better performance. With the recent launch of the Raspberry Pi 4, TECHBASE has yet again, announced another upgrade to the M500, which now packs the latest single-board computer.

ModBerry M500 with Raspberry Pi’s 4

ModBerry M500 also utilizes many more SBC platforms, such as Orange Pi, NanoPi and Intel-based UpBoard. Find more information here: https://iiot-shop.com/product/modberry-m-series/

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Raspberry Pi Compute Module 4 with PCie/NVMe next year

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.

Pre-order ModBerry 500 CM4 NOW!

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

Official Raspberry Pi’s information about upcoming Compute Module 4

In recent interview with Eben Upton, the CEO of Raspberry Pi Trading, we finally had Raspberry Pi Compute Module 4 release confirmation, probably in 2021. He shared some details about the upcoming CM4 features, such as single-lane NVMe support.

The Raspberry Pi Compute Module, CM4, we will support NVMe to some degree on that,  because of course, it [Raspberry Pi 4] has a PCI Express channel. (…) We have a single lane Gen 2 which is used to supply USB 3.0 on the Raspberry Pi [4]. On the [Compute] Module that would be exposed to the edge connector and we’re likely to support NVMe over that.

Eben Upton, CEO of Raspberry Pi Trading

First Rasbperry Pi 1B model had it’s analogy in industrial Compute Module 1 after almost 2 years from it’s premiere. Compute Module 2 was probably omitted because the change from RPi1 to RPI2 mainly involved a minor change of the processor (Cortex-A7 900MHz), which was almost immediately replaced with Cortex-A53 1.2GHz in Raspberry Pi 3.

The premiere of Compute Module 3 occured a year after RPI 3 announcement, providing a significant boost of industrial market solutions. Since Raspberry Pi 4 was a great success in 2019, we might see it’s equivalent in industrial series of Raspberry Pi – Compute Module 4. A possible release date of Raspberry Pi’s Compute Module 4 is somewhere inbetween 2020/2021.

Raspberry Pi is gaining recognition in Industry

Almost a year ago, in the beginning of 2019, Raspberry Pi Foundation presented Raspberry Pi Compute Module 3+, a successor to previous CM3 version of development board, aimed at businesses and industrial users. The Compute Module uses a standard DDR2 SODIMM (small outline dual in-line memory module) form factor. GPIO and other I/O functions are routed through the 200 pins on the board.

Only a few months later, in June 2019, came big premiere of Raspberry Pi 4 Model B, the long-awaited successor of customer RPi3+. With new processor, larger RAM options and PCIe/NVMe support, CM4 might be a black horse of industrial automation in 2021.

It seems a matter of time before the Raspberry Pi Compute Module 3+ will get its own successor, called Compute Module 4, a new milestone of professional embedded IoT module. What might be the specification of this highly expected development board?

Raspberry Pi Compute Module 3+
Raspberry Pi Compute Module 3+

Raspberry Pi Compute Module 4 probable specification

Compute Module 4 specifications probably will look like these:

  • 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,
  • PCIe/NVMe support via single lane
  • Current flash memory (eMMC) options: 8GB / 16GB / 32GB from CM3+ will probably stay the same,
  • weight and factor will stay the same, to provide a possibility to upgrade current IoT applications of CM3 and CM3+

With much higher performance, the new Raspberry Pi Compute Module 4 will, for sure, support Gigabit Ethernet, USB 3.0 expansions with PCIe/NVMe single lane. We might even see wider working temperature range, if Raspberry Pi Foundation decides to make some hardware changes, to follow, for example, ESP32 – used in end-point IoT automation.

Industrial use of Compute Module

With Compute Module 3+ options from Raspberry Pi, TECHBASE upgraded their 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. Upcoming Raspberry Pi’s Compute Module 4 will be fully compatible with TECHBASE’s ModBerry 500/9500 controllers, oferring extended features.

ModBerry 500 with Compute Module 3+
ModBerry 500 with Compute Module 3+

Higher performance of ModBerry 500/9500 with extended eMMC flash memory, up to 32GB , powered by quad-core Cortex A53 processor allows the device to smoothly run Windows 10 IoT Core system, opening up many possibilities for data management, remote control and visualisation.

Check Industrial use of Compute Module

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Advantages of Industrial IoT in modern manufacturing and smart environments

Advantages of Industrial IoT in modern manufacturing and smart environments

Industrial Internet of Things (Industrial IoT or just IIoT for short) uses Internet of Things technology to improve production and industrial processes. These processes increasingly require connected devices to perform their tasks effectively.

Data generated over the Internet of Things is growing exponentially faster than the traditional cloud environment where data is stored, so just the amount of data can justify the acceleration. In addition, in the cloud as the destination, problems related to data transfer (delay and bandwidth) occur, so travel speed is the main issue. This edge is necessary as a solution to the inefficiency of IIoT to Cloud architecture.

Advantages of Industrial IoT in modern manufacturing and smart environments
Source: https://iotnews.asia/

IIoT market predictions

Industrial IoT devices and edge computing have grown at impressive rates. Accenture predicts the IIoT market will reach $500 billion by 2020; and IIoT already generates 400 zetabytes a year. Gartner estimates that IoT currently generates about 10% of enterprise data; by 2022, Gartner has predicted this will increase to 50%.

According to IDC, IT’s annual investment on edge infrastructure will hit 18% of total IoT spending; and per last year’s Forrester Analytics Global Business Technographics Mobility Survey, 27% of global telecom decision-makers say their companies will either implement or expand edge computing this year.

Source: https://www.cisco.com/c/en/us/solutions/internet-of-things/industrial-iot-devices.html

Perimeter (edge) computing architectures bring computing processing closer to the users and devices that need it, rather than centrally processing it in a local data center or public cloud. This edge is important for industrial and production processes that use large amounts of data that require fast response times and tight security.

Fast data processing of Industrial IoT devices

When industrial IoT devices and edge processing work together, digital information becomes more powerful. Especially in contexts where you need to collect data in a traditional edge context, such as a smart meter, a parking meter or a connected trash can in a street apartment. The installation of sensors with internet access in metropolitan garbage containers is becoming increasingly common for smart urban engineers. You can then remotely monitor the container using the sensor. When it is full, the city sanitation service receives a notification and can register an order and empty the container.

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.

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Arduino or Raspberry Pi? Pros and cons in IoT use.

Arduino or Raspberry Pi? Pros and cons in IoT use.

Some people consider the Arduino platform to be the best for beginners, however, the novice will handle both Arduino and Raspberry Pi board. The choice between platforms should mainly depend on the characteristics of the project.

The origin of both platfoms

The founder of Arduino is Massimo Banzi, a lecturer at the now-defunct Italian Interaction Design Institute Ivrea, who developed a microcontroller in cooperation with students from this university. The Arduino programming language, based on the Wiring environment and basically on the C/C++ language, was designed by Hernando Barragán, a student of Banzi. The site prepared by Hernando Barragán presents exactly all the work on the project, which clearly shows that this success has more than one father.

  • Raspberry Pi 4
Raspberry Pi 4 (left) vs Arduino Uno (right)

In the case of Rasberry Pi, the project also had its source at the university. More specifically, at the University of Cambridge. Three lecturers: Jack Lang, Alan Mycroft and Robert Mullins came up with the idea of ​​developing a simple and above all cheap computer for learning programming. The first prototypes were created between 2006 and 2008. In the next step, seeing the potential of their solution, the men established cooperation with Pete Lamas, an integrated circuit designer at BroadCom, and David Braben, one of the developers of the Elite game, and together they founded the Raspberry Pi Foundation.

As a result, both platforms, which were originally intended to be used for learning by students, due to their low price and simplicity of use, became extremely popular among amateur users of consumer electronics and control, and appeared in mass sales.

So what should you choose – Arduino or Raspberry Pi?

The answer is basically simple – Arduino is ideal for simpler projects. Raspberry Pi will be useful for solutions that require more computing power. Arduino has only 2 kilobytes of RAM. Raspberry Pi has a RAM size of 1 GB. So Arduino is a simple microcontroller, meanwhile Raspberry is actually a small computer. Not without significance is the fact that the Arduino IDE is easier to use than Linux. So if you need a simple control of watering your garden, Arduino will work perfectly. Several sensors and a few lines of code will do the trick. For Raspberry Pi, to achieve the same effect, you will first need to install the system and the necessary libraries. There will be a lot more work and the effect will be the same – watering the garden at a specific time.

So choose Arduino when you need to use a simple solution for frequently repeated activities, e.g. controlling the watering of the garden, switching on and off the external lighting at a specific time, opening the gate, etc. However, because Raspberry can run many tasks at the same time, it is a computer, work simultaneously as a home printer server and operate the monitoring system. Home weather stations are popular and Raspberry will be perfect for this application because of the need to collect information from several sensors (temperature, wind strength, humidity). Raspberry Pi will therefore be a good choice for anyone interested in IoT, i.e. the Internet of Things at home. Examples of ready projects can be found here: https://modberry.techbase.eu/

  • eModGATE with ESP32
  • ModBerry 500 with Raspberry Pi’s Compute Module 3+
On the left: eModGATE powered with ESP32 (Arduino based)
On the right: ModBerry device powered with Raspberry Pi Compute Module 3+

Why not both?

Nothing prevents you from starting with Arduino and continuing with Raspberry Pi. By using Arduino or ESP32-based solutions you will learn the basics and you will get the effect quickly and relatively easily. But only Rasbperry Pi will allow you to make much more difficult projects. And both platforms can be combined with each other. Arduino/ESP32 can be used to read information from sensors and control e.g. motors (for example a garage door). Raspberry Pi will control all devices and send the collected data, e.g. to a mobile phone. You can do more together.

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Power Management HAT with RTC for Raspberry Pi

Power Management HAT with RTC for Raspberry Pi

If you’re looking for a useful tool for long-lasting Raspberry Pi, such as longer battery life or automatic power on / off, this HAT power management is the perfect choice.

This HAT can significantly increase battery life by automatically starting the device for a certain time and automatically switching it off at another time. It can be configured to monitor the Raspberry Pi voltage / current status in real time and turn off the Pi according to the operating status. In addition, the kit includes a convenient power switch for easy on / off (soft shutdown of Pi by software), preventing data loss due to power disconnection.

Raspberry Pi Power Management HAT specification

  • MCU – Microchip ATmega328P-AU MCU
  • Storage – CAT24C32 EEPROM
  • USB – 1x micro USB port for serial communication via CP2102 UART to TTL chip
  • RPi Interface – 40-pin Raspberry Pi GPIO header
  • Misc
    • NXP PCF8523 RTC & calendar chip + CR1220 battery holder
    • DEBUG switch (9) to either:
      1. Power directly Raspberry Pi board
      2. Let the “Arduino” MCU manage the power supply
    • UART selection (15)
      • A – Access Arduino via USB to UART
      • B – Control the Raspberry Pi by Arduino
      • C – Access Raspberry Pi via USB to UART
    • Power/User and Reset buttons
    • Status and Power LEDs
  • Power Supply
    • PH2.0 connector for 7~28V regulated power supply or lithium battery
    • Monolithic Power MP1584 switching regulator
    • Protection circuits such as reverse-polarity, overcurrent, etc…
    • Voltage/current monitoring circuits
  • Dimensions – 65 x 56.5 mm (Raspberry Pi HAT)

Source: https://www.cnx-software.com/2019/12/18/raspberry-pi-power-management-hat-adds-rtc-battery-management-software-on-off/

Industrial use of Raspberry Pi Compute Module 3+

With Compute Module 3+ options from Raspberry Pi, TECHBASE upgraded their 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. One of the options is SuperCap power support.

ModBerry 500 with Compute Module 3+
ModBerry 500 with Compute Module 3+

Higher performance of ModBerry 500/9500 with extended eMMC flash memory, up to 32GB , powered by quad-core Cortex A53 processor allows the device to smoothly run Windows 10 IoT Core system, opening up many possibilities for data management, remote control and visualisation.

Check Industrial use of Compute Module
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Raspberry Pi 4 use in Industrial IoT solutions

Every fan of new technologies has heard of small single-board computers (SBC) in the form of Raspberry Pi 4. Raspberry debuted on the market in many different versions, and the current model is Model 4B. A lot of people got infected with it for DIY, programming or Linux. But new board comes with variety of pros and cons, as compared to previous RPi3 versions.

Industrial use of market Raspberry Pi 4 SBCs

A year ago, TECHBASE released an updated version of the ModBerry M500 industrial IoT computer, replacing the aging Raspberry Pi 3 with a 3B+, giving it better performance. With the recent launch of the Raspberry Pi 4, TECHBASE has yet again, announced another upgrade to the M500, which now packs the latest single-board computer.

ModBerry M500 with Raspberry Pi’s 4

ModBerry M500 also utilizes many more SBC platforms, such as Orange Pi, NanoPi and Intel-based UpBoard. Find more information here: https://iiot-shop.com/product/modberry-m-series/

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Raspberry Pi based ModBerry series with 3G/LTE modem support

Nowadays, mobile Internet offers are becoming more and more popular. They are often cost-effective for those who do not download too much from the web. Usually you don’t even need to sign a contract – some operators offer fairly favorable pre-paid internet offers. Anyway, even if we want an Internet contract, sometimes the monthly fee is lower if we do not take the device.

In that case, how will we receive this Internet? The solution is simple – unfortunately we have to invest some money in the LTE modem. As a router separating the signal we will use Raspberry Pi. For a ready and complete solution we can choose ModBerry Industrial IoT devices already equipped with modem of our choosing

ModBerry M500 modem configurability

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.

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