With the debut of Raspberry Pi Compute Module 4 and ModBerry 500 CM4 from TECHBASE, another addition came to Industrial Controllers and Edge Automation. New module carried the likelihood to associate NVMe SSD module by means of M.2 slot utilizing PCIe 2.0 interface.
Order next batch of Raspberry Pi Compute Module 4 devices
TECHBASE’s ModBerry 500 series has gotten an update to Compute Module 4 and is accessible for pre-orders. TECHBASE is leading producer of Industrial Raspberry Pi and Industrial Compute Module applications. ModBerry 500 series is completely viable with all arrivals of Compute Module from Rasbperry Pi Foundation.
Primary highlights of refreshed device are:
up to 4x quicker eMMC Flash with up to 32GB capacity
up to 2x quicker execution than recent CM3 rendition with quad-center Cortex-A72 4×1.5GHz
up to 8x more RAM (8GB LPDDR4)
1Gbit Ethernet interface
discretionary PCIe card support for NVMe SSD by M.2
discretionary second PCIe support for remote modem arrangements, for example 5G modems
First group of ModBerry 500 CM4 devices has just been dispatched, we are gathering orders for next batch. Hustle just a bit to get your devices rapidly!
https://iot-industrial-devices.com/wp-content/uploads/2021/01/nvme-ssd-raspberry-pi-cm4.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2021-01-30 15:06:132021-01-30 15:07:35Super-fast NVMe SSD for Raspberry Pi Compute Module 4 based modern IoT device
New features of multiple Raspberry Pi Compute Modules 4 brought to new ClusBerry series
Accompanying the release of ModBerry 500-CM4 and AI GATEWAY 9500-CM4, we present to you a cluster version of the device, called ClusBerry 9500-CM4. Main difference between standard Gateway and ClusBerry is the possibility to include multiple Raspberry Pi Compute Module 4 in one device, as well as the intended suitable amount of wired and wireless interfaces, suited for the project.
Fully configurable devices are something desirable in the IoT market, where high performance and low cost is a key factor to success of implementation. TECHBASE’s Industrial IoT Ecosystem gives the opportunity to adjust ordered devices with certain resources and cut unnecessary I/Os, lowering the total cost of the device.
Reason for use of Raspberry Pi CM4 cluster in ClusBerry 9500-CM4
Various implementations must have guaranteed high hardware performance to react fast enough in real time. For this purpose, the arrays of processor blocks are constructed to be assigned to individual tasks. For several years now, attempts have been made to use various types of SBC for this purpose, including, of course, Raspberry Pi. However, the practical effectiveness of such solutions so far has not been of interest for several reasons. First of all, these solutions were most often associated with many mechanical limitations and the structure of the matrix itself required excessive wiring, preventing failure-free operation and the cost of the entire maintenance of the structure.
This is where Raspberry Pi Compute Module can shine, but due to the hardware speed limitations of the buses in this module, it was not completely effective and was rather a development platform. Altho the introduction of new Compute Module 4 has opened the possibility to construct and maintain effective hardware matrix solutions with the use of both PCI-Express buses and 1GBps Ethernet. Therefore, the ClusBerry 9500-CM4 opens up completely new capabilities of utilizing cluster solutions for Industrial Automation and server applications.
Wide range of ClusBerry modules
ClusBerry 9500-CM4 supports up to 8 cluster modules andcomes with a variety of interchangeable modules to choose from, including:
Standard 9500-CM4 cluster module with Compute Module 4 and chosen configuration:
I/O Controller with range of DI, DO, AI, 1-Wire, RS-232/485 and CAN interfaces
Communication Gateway with wired (1/2x Ethernet, Serial Ports) and wireless interfaces (LTE-cat.M1, 4G, 5G, LoRa, ZigBee, Z-Wave, Wireless M-Bus)
NAS File Server with 2x SSD SATA III and RAID support, managed with Nextcloud or ownCloud software
USB3.0 Hub for 5G communication, Modems, AI Cluster and peripherals
Gigabit LAN/WAN Router with additional 2.5GbE network card as an independent switch/router shielded from the mainboard cluster network
SuperCap / Power management module for backup power supply (supercapacitors / Li-Ion battery) and sleep mode management aided with ESP32-module
Additional expansion cards, with resources suited for the installation (DIO, AIO, Serial Ports and dedicated sensor cards, detailed below)
ClusBerry 9500-CM4 with available expansion cards
ClusBerry 9500-CM4 can be equipped with multiple expansion cards, e.g. serial RS-232/485 ports, range of digital and analog I/Os, USB, HDMI and Ethernet. Interfaces can be expanded with additional I/Os and opto-isolation, relays, Ethernet, 1-Wire, CAN, M-Bus Master and Slave, accelerometer and many more features like TPM Security Chip & eSIM. The device can also be equipped with additional SuperCap backup power source for continuous work and safe boot/shutdown in case of emergency.
ClusBerry 9500-CM4 series also offers a standard PCI module support for various wireless communication protocols, such as:
GSM modem (4G/LTE and fast 5G modem)
economic NarrowBand-IoT technology
LoRa, ZigBee, Z-Wave, Sigfox, Wireless M-Bus
secondary Wi-Fi/Bluetooth interface or Wi-Fi Hi-Power
custom wireless interfaces
Software cluster management with Docker and K3s Lightweight Kubernetes
With use of Docker-based and Kubernetes solutions, installation and management of ClusBerry 9500-CM4 is easy and backed with a large community for further support and development. Kubernetes is a portable, extensible open-source software platform for managing containerized tasks and sites that enables declarative configuration and automation. The Kubernetes ecosystem is large and dynamically developing. Kubernetes services, support and tools are widely available.
Kubernetes provides:
Detection of new services and traffic. Kubernetes can balance the load and redirect the network traffic to ensure the stability of the entire installation.
Kubernetes data storage management enables you to automatically mount any type of storage system – on-premises, from cloud providers and others.
Automatic deployment and rollback. You can describe the expected state of your installation with Kubernetes, which will take care of bringing the actual state to the expected state in a controlled manner. For example, with Kubernetes, you can manage your cluster modules at ease, boot modules from one to another, upgrade firmware crosswise and provide safe operation of each module
Automatic management of available resources. ClusBerry 9500-CM4provides a cluster of modules that Kubernetes can use to run tasks in containers. You determine the CPU power and RAM requirements for each container. Kubernetes arranges containers on machines in such a way as to make the best use of provided resources.
Self-healing Kubernetes reboots containers that have stopped working, replaces them with new ones, forces disabling containers that are not responding to certain status queries, and does not announce their availability until they are ready to run.
Managing confidential information and Kubernetes configuration with TPM Security Chip allows you to store and manage confidential information such as passwords, OAuth tokens and SSH keys. Secured data and configuration information can be provided and changed without having to rebuild the container image and without exposing sensitive data in the overall software configuration.
ClusBerry 9500-CM4 availability
First prototypes are being developed, since Compute Module 4 is already available for the purchase. Delivery time for various configurations of ClusBerry will be approximately 2 months, depending on the CM4 supply on the market and chosen expansion cards. For more information contact TECHBASE’s Sales Department via email or Live Chat here or visit product website: https://clusberry.techbase.eu.
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.
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
Few months ago IoT Industrial Devices predicted a possible release date for Compute Module 4 in Standard and Lite version:
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+
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+
Higher performance of ModBerry 500/9500with 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.
https://iot-industrial-devices.com/wp-content/uploads/2020/10/rpi-cm4-premiere.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-10-20 08:41:352020-10-23 13:18:57Raspberry 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.
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.
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 4 probable specification
Compute Module 4 specifications probably will look like these:
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+
Higher performance of ModBerry 500/9500with 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.
https://iot-industrial-devices.com/wp-content/uploads/2020/10/compute-module-4.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-10-15 14:13:342020-10-23 13:19:21New Raspberry Pi Compute Module 4 features confirmed
EB (Elektrobit) announced new features and functions in the EB GUIDE. This makes the Advanced Human Machine Interface (HMI) more accessible and convenient than ever to a wider range of developers.
EB provides the EB GUIDE Development Toolkit (SDK) specifically for the Raspberry Pi OS. This allows users of Raspberry Pi devices, one of the most accessible and popular embedded systems development platforms worldwide, to take advantage of the user-friendly features of EB GUIDE to make them extremely simple and efficient. The HMI can be developed. How to do it. This EB GUIDE SDK for Raspberry Pi OS is available to users for free and gives you the opportunity to see how easy it is to model HMI with EB GUIDE.
We are excited to make our unique HMI development toolchain even more capable and available to a broader group of designers and developers,” said Bruno Grasset, Head of Product Management User Experience, Elektrobit. “There are more than 30 million Raspberry Pi devices in use around the world. Pairing our advanced software with the versatile, budget-friendly Raspberry Pi development platform will accelerate innovation, allowing pros and students alike to easily create the world’s most advanced user interfaces.
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.
Higher performance of ModBerry 500/9500with 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.
https://iot-industrial-devices.com/wp-content/uploads/2020/09/hmi-software-raspberry-pi.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-09-15 11:18:462020-09-15 11:19:42HMI development software with Raspberry Pi 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
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.
https://iot-industrial-devices.com/wp-content/uploads/2020/09/banana-pi-bpi-m5.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-09-14 10:52:002020-09-15 11:01:48Banana Pi BPI-M5 with quad-core processor and Android / Linux support
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.
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 4 probable specification
Compute Module 4 specifications probably will look like these:
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+
Higher performance of ModBerry 500/9500with 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.
https://iot-industrial-devices.com/wp-content/uploads/2020/08/rpi-cm4.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-08-21 10:42:002020-10-23 13:19:35Raspberry Pi Compute Module 4 with PCie/NVMe next year
As the remote application market is growing rapidly, technology also needs to progress, ensuring greater range and transmission speed while reducing energy consumption. Technological progress makes it possible to create innovative standards for new, sophisticated applications that facilitate our life and work. One of wireless connection choices can be LoRa technogoly.
LoRa (Long Range Radio) technology with low data throughput allows IoT and M2M applications to communicate wirelessly over 15 kilometers, with a battery life of more than 10 years. LoRa allows you to connect millions of wireless nodes with compatible gateways and has several key advantages over other wireless solutions. For example, it uses spectrum spreading modulation with the ability to demodulate a signal 20 dB below the noise level.
LoRa uses license-free sub-gigahertz radio frequency bands like 433 MHz, 868 MHz (Europe) and 915 MHz (Australia and North America). LoRa enables long-range transmissions (more than 10 km in rural areas) with low power consumption.[4] The technology is presented in two parts: LoRa, the physical layer and LoRaWAN (Long Range Wide Area Network), the upper layers.
Compared to 3G and 4G cellular networks, LoRa technology is also better scalable and more cost-effective for embedded applications. It has a much greater range than other popular wireless protocols, which allows devices to operate without amplifiers, reducing the total cost of the application.
Thanks to scalability, reliable communication, mobility and ability to work in difficult external conditions, the LoRa module is perfectly suited for use in a wide range of wireless monitoring and control applications that do not require high transmission speeds. Examples of applications may include smart city (street lighting sensors, motion sensors), energy (intelligent measurement of electricity / water / gas consumption) and industrial / commercial / home applications, among others HVAC, intelligent devices, security systems and lighting.
Use of wireless connection makes life and work easier for us every day – from radio stations and GSM to Wi-Fi wireless networks, Zigbee, short-range Bluetooth connectivity and LoRa. With the spread of internet access, the possibility of using wireless connectivity for a new type of service and application has opened. Terminology such as M2M (Machine to Machine) – remote communication between devices and IoT – a network of applications and devices communicating with the Internet have been created.
Device equipped with LoRa module is delivered with a LoRaWAN protocol stack, so it can be easily connected to the existing, fast-growing LoRa Alliance infrastructure – both in privately managed local area networks (LAN) and public telecommunications networks to create wide area low power WAN (LPWAN) on a national scale. LoRaWAN stack integration also allows connection to any microcontroller, such as ModBerry industrial device from TECHBASE.
https://iot-industrial-devices.com/wp-content/uploads/2019/11/lora.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-08-13 14:59:472020-09-09 08:10:55Is LoRa a 'must be' for Industrial IoT?
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
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+
Higher performance of ModBerry 500/9500with 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.
https://iot-industrial-devices.com/wp-content/uploads/2020/01/raspberry-pi-power-management.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-08-12 12:10:002020-09-09 08:11:38Power Management HAT with RTC for Raspberry Pi
Low-power wide-area (LPWA) technology meets the needs of multiple IoT markets for low-cost devices that maintain long battery life and low-cost, large-area networks that support large numbers of connections. However, LoRa (LoRaWAN) and NarrowBand-IoT have the most momentum and will gain the largest share in the LPWA market in the next few years.
Many technology articles compare LoRa andNB-IoT technologies as if they were battling it out for dominance in the IoT market. In reality, these technologies are two branches within an emerging technology ecosystem. Similar to WiFi and Bluetooth, they will most likely to diverge into different niches, rather than directly compete with each other. This article will dive deeper into the capabilities, costs, longevity, maturity, and other differentiators of NB-IoT and LoRa-based technology.
As a result of the research, performed by Tauron, it was found that SigFox and LoRaWAN technologies have limited applications due to the use of the unlicensed ISM band (868 MHz). In addition, each of the three technologies tested has a limit on the transmission channel speed. LoRaWAN, unlike others, allows the construction of an autonomous, separate network dedicated to the needs of the owner.
LTE NarrowBand-IoT technology, as a 3GPP standard, is being increasingly implemented by subsequent mobile operators in the world and in European countries like Poland. For example, polish main frequencies of NB-IoT implementation are 800 MHz and 900 MHz, which allows achieving high coverage of the country.
Research carried out by Tauron has shown that, considering the security of the solution, the availability of telecommunications infrastructure, or the speed of data transmission (important for meter reading), LTE NB IoT technology is closest to use in the energy sector.
Both LoRa and NB-IoT standards were developed to improve security, power efficiency, and interoperability for IoT devices. Each features bidirectional communication (meaning the network can send data to the IoT device, and the IoT device can send data back), and both are designed to scale well, from a few devices to millions of devices.
Use of wireless connection makes life and work easier for us every day – from radio stations and GSM to Wi-Fi wireless networks, Zigbee, short-range Bluetooth connectivity and LoRa / NarrowBand-IoT wireless solutions. With the spread of internet access, the possibility of using wireless connectivity for a new type of service and application has opened.
Device equipped with LoRa module is delivered with a LoRaWAN protocol stack, so it can be easily connected to the existing, fast-growing LoRa Alliance infrastructure – both in privately managed local area networks (LAN) and public telecommunications networks to create wide area low power WAN (LPWAN) on a national scale. LoRaWAN stack integration also allows connection to any microcontroller, such as ModBerry industrial device from TECHBASE. Such solutions offer also NarrowBand-IoT and full 4G/LTE support.
https://iot-industrial-devices.com/wp-content/uploads/2019/12/lora-nbiot.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-08-11 16:02:182020-09-09 08:11:45LoRa vs NarrowBand-IoT. What is better for Industrial IoT?
We may request cookies to be set on your device. We use cookies to let us know when you visit our websites, how you interact with us, to enrich your user experience, and to customize your relationship with our website.
Click on the different category headings to find out more. You can also change some of your preferences. Note that blocking some types of cookies may impact your experience on our websites and the services we are able to offer.
Essential Website Cookies
These cookies are strictly necessary to provide you with services available through our website and to use some of its features.
Because these cookies are strictly necessary to deliver the website, you cannot refuse them without impacting how our site functions. You can block or delete them by changing your browser settings and force blocking all cookies on this website.
Other external services
We also use different external services like Google Webfonts, Google Maps and external Video providers. Since these providers may collect personal data like your IP address we allow you to block them here. Please be aware that this might heavily reduce the functionality and appearance of our site. Changes will take effect once you reload the page.
