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.
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.
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.
https://iot-industrial-devices.com/wp-content/uploads/2020/04/industrial-iot-ai.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-04-20 13:04:002020-04-26 13:15:57Half of IoT developers use AI in their installations
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.
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://iot-industrial-devices.com/wp-content/uploads/2020/04/rpi-covid-19.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-04-06 11:16:172020-04-06 11:17:53Raspberry Pi in the service of COVID-19 monitoring
The Raspberry Pi platform, with introduced in 2019 Raspberry Pi 4 is no longer available with lowest, 1GB RAM configuration. Since the price of 2GB version dropped by $10 to the $35 — the same as the 1GB version. Therefore the 1GB is no longer available for puchase. Also the USB type C problems were fixed with the latest revision.
In latest announcement, Eben Upton, co-founder and CEO of Raspberry Pi Trading, admitted that most people already know that Raspberry Pi 4 requires at least 2 GB of RAM to be the first Pi to replace desktop computers. Upton also says, that comared to original original Raspberry Pi, the new RPI 4 has 40x processor performance, 10x bandwidth and 4x screen pixels. The SBC also has 4 to 8 times more RAM than the previous 512 MB model.
Raspberry Pi increase in IoT significance
More and more engineers and technology providers believe that it is suitable for industrial applications in the real world. Over the past few years, there has been a lot of discussion about the use of Raspberry Pi in industry, most of which emphasize that Raspberry Pi is a great tool for engineering experiments, but not so much for industrial applications in the real world. While it is true that the Raspberry Pi is not considered the best choice for mission-critical applications, it is also true that the Raspberry Pi is no longer a platform for experimentation.
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+). can be chosen from 1GB / 2GB / 4GB LPDDR4 SDRAM options.
Raspberry Pi 4, with 2xHDMI, Gigabit Ethernet and 2xUSB3.0
Raspberry Pi 4 continues the tradition of one of the most versatile and cheapest computer devices. It can be used for virtually anything from proprietary IoT solutions to a full-fledged desktop computer. The new Malinka has two micro-HDMI ports, a Gigabit Ethernet port, two USB 3.0 type A ports and two USB 2.0 type A ports.
Industrial use of Raspberry Pi 4
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.
Over 10 million Raspberry Pi’s have been sold and the Raspberry Pi is likely to stay as a new standard in the industry. Official Raspbian OS is free operating system based on Linux Debian optimized for the Raspberry Pi comes with over 35,000 packages, pre-compiled software bundled in a nice format for easy installation. ModBerry devices are compatible with Raspberry Pi accessories, supported by Raspberry Pi Foundation. ModBerry M500 now with Raspberry Pi 3 Model B+ / Raspberry Pi 4 Model B support.
https://iot-industrial-devices.com/wp-content/uploads/2020/03/rpi4-1gb-2gb.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-03-31 13:17:082020-04-01 14:55:42Raspberry Pi 4 no longer available with 1GB RAM
UPDATE 22.10.20: ModBerry 500, first industrial computer based on 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.
Compute Module 4 a new milestione in Industrial IoT
A new milestone of Industrial IoT might come to life in this year. The successor of Raspberry Pi Compute Module 3+, working named Compute Module 4, will certainly draw from Raspberry Pi 4 B features, such as new Cortex-A72 processor (Broadcom BCM2711) and multiple RAM/eMMC options. Rumours say, that we may also see Gigabit Ethernet and USB3.0/3.1 support, since it was a main drawback in previous models.
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 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.
Raspberry Pi Compute Module 3+
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.
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?
Raspberry Pi Compute Module 4 specification forecast
Compute Module 4 specifications probably will look like these:
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.
With much higher performance, the new Raspberry Pi Compute Module 4 will, for sure, support Gigabit Ethernet, USB 3.0 expansions. 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.
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/2020/02/raspberry-pi-compute-module-4.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-03-27 16:19:002020-10-24 17:17:15Raspberry Pi Compute Module 4 possible release date
Latest addition to Industrial IoT Ecosystem from TECHBASE is TECHPANELP500 is an industrial-grade touch panel automation controller for wide range of industrial installations. Equipped with up to date Raspberry Pi Compute Module 3/3+ or Compute Module 3/3+ Lite, 7” capacitive touch display and IP65 hermetic casing with cast gaskets, can be used in harsh conditions of industrial applications.
Raspberry Pi based touch panel features
New TECHPANEL P500 M3/3+ is powered by quad-core Cortex-A53 1.2GHz processor with 1GB RAM and up to 32GB eMMC or 8GB microSD flash memory. Wide range of modems and extra wireline/wireless interfaces via expansion cards makes the TECHPANEL micro-computer a versatile addition to Industrial IoT solutions offered by TECHBASE company.
TECHPANEL devices can easily work remotely with existing ModBerry Gateways & Moduino ESP32 Edge Controllers for data accumulation and monitoring, to perform specific actions before sending the data to cloud services. TECHPANEL with Moduino – ModBerry installation can work as standalone Ecosystem (for example via MQTT), providing complex data management solution to any installation.
TECHPANEL P500 M3+ with Compute Module 3+ from Raspberry Pi
Visual management and available Raspbian OS
The device is equipped with compact 800 x 480 px 7-inch TFT panel with 10 points capacitive touch to allow the user to perform direct actions on-site. With IP65 casing and extended working temperature range, TECHPANEL can be placed almost everywhere.
Over 23 million Raspberry Pi’s have been sold and the Raspberry Pi is likely to stay as a new standard in the industry. Official Raspbian OS is free operating system based on Linux Debian optimized for the Raspberry Pi comes with over 35,000 packages, pre-compiled software bundled in a nice format for easy installation.
TECHPANEL P500 M3+ with Compute Module 3+ from Raspberry Pi
SPECIFICATION
Cortex A53 1.2GHz Processor
RAM 1GB, eMMC up to 32GB
7″ TFT screen (800x600px)
Capactitive touch screen (10-point)
Wide range of expansion modules (Ethernet, RS-232/485/422, Digital and Analog I/Os, Relay, M-Bus, CAN, optoisolated I/Os, Accelerometer, etc.)
Wide range of wireless modules (GPRS/EDGE, 3G/LTE, NarrowBand-IoT, GPS, Wi-Fi, Bluetooth, LoRa, ZigBee, Z-Wave, Sigfox, Wireless M-Bus, etc.)
https://iot-industrial-devices.com/wp-content/uploads/2020/02/raspberry-pi-touch-panel.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-03-25 11:44:002020-03-31 16:18:41New industrial grade touch panel with Raspberry Pi
ASUS announced Tinker Edge T in mid-2019, but now officially announces their latest SBC. Edge T expands Tinker Board series, which was already a strong rival of Raspberry Pi and latest Google Coral Dev Board.
The ASUS company has designed Tinker Edge T for AI applications powered with has Google Edge TPU. Google has optimized Edge TPU for machine learning and must be able to run Tinker Edge T up to 4 ter per second operations (TOPS) at just 0.5 W. Therefore, this board is a good candidate for automatic image recognition and other automation projects
ASUS Tinker Edge T with active cooler
ASUS Tinker Edge T specification
Below you will find complete specification of announced ASUS Tinker Edge T single-board computer:
Edge TPU module:
SoC – NXP i.MX 8M quad-core Arm Cortex-A53 processor with Arm Cortex-M4F real-time core, GC7000 Lite 3D GPU
ML accelerator – Google Edge TPU coprocessor delivering up to 4 TOPS
System Memory – 1 GB LPDDR4 RAM
Storage – 8 GB eMMC Flash memory
Wireless Connectivity – Wi-Fi 2×2 MIMO (802.11b/g/n/ac 2.4/5GHz) Bluetooth 4.2
Baseboard:
Storage – MicroSD card slot
Networking – Gigabit Ethernet port (via RTL8211F-CG)
Video Output – MIPI DSI connector, and HDMI output up to 4K with CEC support
Camera I/F – 2x MIPI CSI 2 interfaces for stereoscopic camera applications
USB – 2x USB 3.2 gen1 ports, 1x USB-C 3.2 gen1 port
Expansion – 40-pin Raspberry Pi compatible color-coded header with GPIO, I2C, PWM, UART, SPI, I2S, etc…
Introduced in November 2017, the ModBerry M300 series, based on NanoPi NEO revolutionised the economic segment of Industrial IoT devices and proved, that automation and monitoring can be done effectively with low expenditure on industrial installations.
ModBerry M300 O1 based on OrangePi Zero Plus features Allwinner H5 (Quad-core Cortex-A53) SoC, moderate 512MB RAM, storage memory option with microSD slot, USB and Gigabit Ethernet port. The wireless communication is supported with onboard Wi-Fi module.
Offering much higher performance and wider feature range, the ModBerry M300 O2 features same SoC as M300 series, but thanks to OrangePi Zero Plus2 means, the device is equipped with onboard 8GB eMMC, extra microSD expansion slot as alternative and wired/wireless interfaces, e.g. HDMI, Wi-Fi, Bluetooth 4.0.
https://iot-industrial-devices.com/wp-content/uploads/2020/01/asus-tinker-edge.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-03-24 20:09:002020-03-31 16:18:53ASUS Tinker Edge T - a new Raspberry Pi like SBC
Raspberry Pi Compute Module 3+ based ModBerry industrial computer series use latest Compute Module 3+, powered by Quad-core Cortex-A53 1.2GHz processor, 1024MB LPDDR2 RAM and up to 32GB Flash eMMC. The module increase the device’s performance up to ten times, maintaining low power consumption and optimal price of the solution. Raspberry Pi based ModBerry features industrial protocol support, e.g. Modbus, M-Bus, SNMP, MQTT and the possibility to add new protocols with ease.
ModBerry 500 hardware modularity
The main features of ModBerry Industrial Computers series are the extension capabilities to increase input/output number, add up to 4 internal wireless communication modems and modules, support additional features such as accelerometer or opto-isolation options.
ModBerry 500 series offers wide range of industrial interfaces e.g.: digital inputs/outputs, analog inputs/outputs, relay outputs, serial RS-232/485 ports, Ethernet, 1-Wire, CAN, USB 2.0, HDMI, LTE/3G/GPRS, NarrowBand IoT/LTE, GPS, ZigBee, WiFi, Bluetooth, LoRa and many more via extension modules.
Raspberry Pi based industrial computer ModBerry expands to new platforms, setting new trends on the industrial automation market. ModBerry series offers now a variety of new processing units, wider range of possible applications due to much higher performance than before. We introduced ModBerry M700 based on NanoPi platform, Intel-based ModBerry M1000 with UpBoard computing module and latest ModBerry 400 to complete Raspberry Pi platform with economical device for further upgrades with extension modules.
ModBerry remote management
The iMod platform guarantees a quick start and full use of the ModBerry computer, without the need to write complicated software. One of the main advantages of the iMod platform is its ease of use and variety of available functionalities. Due to the available SDK, the platform can be extended with new, dedicated functionalities.
iMod can be installed directly onto ModBerry device or using external PC outside the installation (iModBOX). The third option is using dedicated hosting server to host the iMod software (iModHOST).
Another product is iModCloud software-service, which enables full control of ModBerry/iMod devices. Together they form a stand-alone solution – iModCloud Ecosystem, a combination of cloud services with web-based user interface and industrial devices, fully manageable remotely.
iModCloud can be hosted externally, using stable DELL servers to host the cloud service.(iModCloudHOST). For higher data security or depending on project features, iModCloud can be hosted internally, inside the installation (iModCloudBOX) hosted by the dedicated Mini-PC or from portable memory stick (iModCloudSTARTER).
More information Raspberry Pi based industrial device
TECHBASE provides solutions for industrial automation, telemetry, remote access and integration with IT systems. Since 2012 the company has been actively developing its competences in the market. Due to an innovative approach – based on the use of cutting-edge technologies, open standards and easy to maintain products – the company has earned the trust of Customers all over the world.
TECHBASE’s mission is to provide our Customers with tools, which will shorten and simplify the process of system implementation. With open architecture and high level of configurability, maintenance of a system is not expensive anymore.
https://iot-industrial-devices.com/wp-content/uploads/2020/01/raspberry-pi-modbus-mbus.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-01-23 11:58:472020-01-23 15:18:46Raspberry Pi based controller with Modbus, M-Bus & MQTT support
A new industrial-class single-board computer, called Banana Pi BPI-F2S, was released with Linux 4.19. Banana Pi BPI-F2S is a new SBC from BPI Tech – a daughter company of SinoVoIP. The heart of Banana Pi BPI-F2S is the SP7021 chip from SunPlus containing a 1GHz Cortex-A7 quad-core ARM processor, A962 type ARM coprocessor and 8051 controller. More information about the SP7021 chip is available in the Wiki.
Banana Pi BPI-F2S
For storage, the Banana Pi BPI-F2S has an 8 GB eMMC flash and a microSD card slot. Here is the rest of the list of specifications:
Video output: HDMI 1.4
I / F camera: MIPI CSI connector
Connectivity: two 10/100 Ethernet
USB: two USB 2.0 ports, one micro USB port
Power supply: 12 VDC
Expansion: 40-pin GPIO compatible with Raspberry Pi
Two 50-pin FPGA interfaces for Trenz Electronic Trix Electronic TE0725LP-01-100-2D Artix 7 board
Banana Pi BPI-F2S a new industrial SoC on the market
SunPlus SP7021 is a revolutionary SoC that has the power of a Linux-grade chip and the integration simplicity of a microcontroller. With ARM Cortex-A7 Quad core, ARM926 real-time core. Designed by Sunplus Technology in collaboration with Tibbo Technology, PLUS1 takes all the sophisticated elements typically found in modern industrial-grade embedded Linux chips, adds a plethora of features targeting IoT and industrial control applications, and delivers the resulting design in a simple microcontroller-like package that needs few external components, simplifies the schematic diagram, and reduces the PCB complexity.”
Banana Pi BPI-F2S (SP7021)
SP7021 is a SoC solution of industrial control. It meets customers’ full demand on function but with low cost so that will improve customers’ competitiveness in the market. SP7021 provides rich GPIOs, storage and USB interface. And it provides MIPI CSI interface for video input and HDMI interface for video output. It also provides FPGA interface for function extension. SP7021 also has 4 Ethernet ports providing customers a high competitive solution.
Industrial use of previous BananaPi-like development boards
Introduced in November 2017, the ModBerry M300 series, based on NanoPi NEO revolutionised the economic segment of Industrial IoT devices and proved, that automation and monitoring can be done effectively with low expenditure on industrial installations.
ModBerry M300 O1 based on OrangePi Zero Plus features Allwinner H5 (Quad-core Cortex-A53) SoC, moderate 512MB RAM, storage memory option with microSD slot, USB and Gigabit Ethernet port. The wireless communication is supported with onboard Wi-Fi module.
Offering much higher performance and wider feature range, the ModBerry M300 O2 features same SoC as M300 series, but thanks to OrangePi Zero Plus2 means, the device is equipped with onboard 8GB eMMC, extra microSD expansion slot as alternative and wired/wireless interfaces, e.g. HDMI, Wi-Fi, Bluetooth 4.0.
https://iot-industrial-devices.com/wp-content/uploads/2020/01/banana-pi-bpi-f2s.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-01-16 14:57:002020-01-17 15:01:11New industrial single-board computer from Banana Pi
The term Internet of Things is used to describe physical objects that have sensors that enable data acquisition and communicate with each other and the Internet. They belong to the following categories:
Wearable sensors – sensors built into clothing or smartphones and smart watches
Medical parameter sensors for monitoring health
Sources of geoinformation, allowing to determine the location of objects and people
Sensors of physical parameters of the environment, e.g. temperature, pressure, insolation, dust
Sensors for the operation of technical devices, e.g. measuring power consumption, performance, including specialized sensory networks in industrial installations.
Other factors that contribute to the popularity of IoT are the versatility of use (e.g. intelligent buildings and cities, healthcare, trade, sport) as well as the benefits obtained through their implementation, e.g. streamlining the delivery process, loss prevention, and improving customer experience. Therefore, we can expect a growing number of new IoT solutions appearing on the market for various sectors. Gartner estimates that IoT product and service providers will generate growing revenue of $300 billion in 2020.
The Internet of Things (IoT) has rapidly become one of the most familiar — and perhaps most hyped — expressions across business and technology. We expect to see 20 billion internet-connected things by 2020. These “things” are not general-purpose devices, such as smartphones and PCs, but dedicated-function objects, such as vending machines, jet engines, connected cars and a myriad of other examples. The IoT will have a great impact on the economy by transforming many enterprises into digital businesses and facilitating new business models, improving efficiency and increasing employee and customer engagement.
With new possibilities, new challenges arise, such as the creation of an unprecedented amount of data. According to Oracle, there will be 40 trillion GB of IoT data by 2020.
Open source IoT solutions rushing gaining market
Referring to the results of the 2016 Future of Open Source Survey conducted by Black Duck and North Bridge, 65% of companies increased the use of open source solutions in 2016 compared to 2015. Not only small and medium enterprises use open source solutions. Open source solutions and technologies are used by large international corporations. They see no need to pay for solutions and services that they can use virtually free. Employing only people with appropriate qualifications.
Large corporations are not interested in paying for server logos, network devices, or mass storage. Instead of buying equipment from well-known suppliers, they prefer to set up an order in companies in East Europe and Asia. Companies where devices are designed and assembled (ODM original-design manufacturers).
Software-as-a-Service will be standard
As for IoT application trends, Software-as-a-Service is seen as a hot topic of discussion. SaaS is a service model. In this model, the service provider provides the desired application and makes it available to clients via the Internet. This helps organizations to outsource IT applications.
These Internet of Things trends provide companies with a marketing platform to promote their products. To this end, Stewart Butterfield, co-founder of Slack, a cloud-based instant messaging platform, said:
Every interaction with the customer is a marketing opportunity. When you go beyond the customer service page, people are more likely to recommend you.
SaaS is the preferred choice for the IT gaming industry due to the low investment cost. The emergence of SaaS has significantly contributed to the development of technology. When this trend of the Internet of Things appears on the market, people’s lives are better than ever.
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.
https://iot-industrial-devices.com/wp-content/uploads/2020/01/industrial-iot-trends-2020.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2020-01-06 10:40:002020-01-14 10:57:20Edge of 2020 in Industrial IoT - forecast
Node-RED is an interesting environment for modeling processes, by visually defining information flows. It is a module working in the node.js environment. It is a flow-based programming tool, originally developed by the IBM Emerging Technology Services team and now part of the JS Foundation.
History of Node-RED environment
Node-RED provides users with a ready-made set of easy-to-connect nodes and supports code creation by configuring data transmission and sensor communication to their applications. It is up to you whether you create a new flow of equipment to increase and control the economics of the IoT system. Hardware platform for this system can easily be Raspberry Pi based industrial device, like ModBerry computer.
Node-RED started life in early 2013 as a side-project by Nick O’Leary and Dave Conway-Jones of IBM’s Emerging Technology Services group. What began as a proof-of-concept for visualising and manipulating mappings between MQTT topics, quickly became a much more general tool that could be easily extended in any direction.
It was open-sourced in September 2013 and has been developed in the open ever since, culminating in it being one of the founding projects of the JS Foundation in October 2016.
Node.js is a runtime environment for programs written in JavaScript, currently based on the Chrome V8 engine. While I used to associate JavaScript only with scripts for animated galleries on websites, after a really short period of learning I notice the great advantages of using JS as a language for creating programs launched outside of the browser. Programs run in node.js work in the background, in the console, or even have their own UI with normal windows in Windows, macOS or Linux.
Node-RED example
The principle of operation is relatively simple. Visually, we combine different blocksthat perform specific functions. Through connections, Node-RED sends messages, which are basically a JavaScript object, consisting of various data.
Node-RED consists of a Node.js based runtime that you point a web browser at to access the flow editor. Within the browser you create your application by dragging nodes from your palette into a workspace and start to wire them together. With a single click, the application is deployed back to the runtime where it is run. The palette of nodes can be easily extended by installing new nodes created by the community and the flows you create can be easily shared as JSON files.
Flow-based programming is ideal for the creators of IoT solutions for visualizing and controlling data flow, maintaining and managing a series of cause-related events. Apart from the fact that Node-RED can be run basically anywhere you can install NodeJS, this program is a card for IoT solution developers for mapping and maintaining solutions.
With the development and implementation of Internet of Things solutions around the world, Node-RED has become an invaluable tool for solution architects and programmers, due to its ease of use in flow programming and solution mapping. IoT solutions, also known as applications, are the convergence of the physical world with the digital world to extract valuable data for insight that increases process or system performance. This convergence results in countless triggers and events that must be performed to control systems or notify those responsible when the system is above its expectations.
https://iot-industrial-devices.com/wp-content/uploads/2019/11/node-red.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2019-11-26 13:16:002019-11-27 13:35:03Node-RED & Raspberry Pi in service of Industry 4.0
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.
