Wpisy

Toit was founded in 2018 by a team of developers who built V8 for Chrome on Google in order to build a generic firmware for IoT devices that will replace the traditional development process. They offer a completely new feature set and a new Python-like programming language developed specifically for IoT. Toit is a high-level object-oriented language with a simple, easy-to-use Python-like syntax that is 20 times faster than MicroPython.

Key Features for Toit IoT Platform:

  • Light and efficient multitasking capabilities on an MCU, enabling complex IoT solutions to work on battery-powered devices.
  • A new high-level object-oriented programming language.
  • A publicly available gRPC API to have full control over your devices.
  • An MQTT-like PubSub API for communicating with other devices over the cloud.
  • Cellular connectivity with NB-IoT / CAT M-1 and out-of-the-box Wi-Fi support
    CLI and SDK support on Windows, macOS, and Linux.
  • VS Code extension for seamless integration with their platform, allowing for faster development.
  • No subscription or provisioning fees

Source: https://www.cnx-software.com/2021/08/06/iot-development-platform-comparision-toit-balena-particle-microsoft-azure-iot/

A look into the features of Toit programming language

Unlike other programming languages used for embedded systems, Toit is a language that was developed solely for IoT. So, it is a dedicated language for IoT that allows for better power management which is important for battery-based systems. Toit features an automatic memory management system which helps to avoid crashes. The new language also comes with a garbage collector, aiding the memory management system. Features like these are not available in traditional programming languages and might be a challenge implementing those using languages like C.

“With Toit, we wanted to create a high-level language that would avoid the limitations of the existing languages used in IoT development. On top of this, the Toit language had to be intuitive to learn and safe to use.” says the Toit team. The syntax of Toit is modern, simple and quite similar to Python. So, a Python developer can easily learn this new language within a few hours and deploy their first application within 15 minutes. Toit is an indentation based language just like Python and has no braces or semicolons. The files are saved with ‘.toit’ extensions and have a VS code language extension for a richer developing experience. So once you start developing with the Toit platform, there’s no coming back.

Source: https://opencloudware.com/toit-platform-redefines-the-way-we-implement-iot-applications/

Industrial use of ESP32-based solutions

One of industrial IoT devices, supporting Espressif’s ESP32 technology is eModGATE from TECHBASE. Economical, ESP32-based solution can serve as an end-point in any installation or works well as a gateway, gathering data from scattered sensor mesh across the installation. For more information and also Raspberry Pi based solutions check Industrial IoT Shop with all the configuration options for eModGATE.

eModGATE with ESP32

The M5Stack Core2 is an ESP32 IoT development kit with a 2-inch touchscreen, motion sensor, microphone and battery. The hardware is chosen by Amazon Web Services, with a few little things like adding secure components and the yellow colour that creates „AWS IoT EduKit” hardware and software solutions designed to“learn how to build IoT applications using AWS services through a prescriptive learning program”.

M5Stack Core2 for AWS IoT EduKit specifications:

  • SoC – Espressif ESP32-D0WDQ6-V3 dual-core Xtensa LX6 processor clocked at up to 240MHz with 520KB SRAM, Wi-Fi, and dual-mode Bluetooth connectivity
  • External Memory – 8MB PSRAM
  • Storage – 16MB flash storage, MicroSD card slot up to 16GB
  • Display – 2-inch IPS LCD screen with 320×240 resolution (ILI9342C driver), and touchscreen support (via FT6336U controller)
  • Audio – Built-in 1W speaker, SPM1423 PDM microphone, I2S codec, and power amplifier
  • Antenna – 2.4GHz 3D antenna
  • USB – 1x USB Type-C port for power and programming via CP2104 chip
  • Sensors – 6-axis IMU (MPU6886)
  • Expansion – 1x Grove connector with I2C, GPIO and UART, M-Bus socket
  • Security – ATECC608A Trust&GO secure element
  • Misc – Power LED, power button, reset button, 3x touch buttons, vibration motor, RTC, 10x RGB LEDs
  • Power Supply
    • Input Voltage – 5V @ 500mA
    • AXP192 PMU
    • SY7088 DC-DC Boost
    • 500 mAh/3.7V Lithium Battery
  • Dimensions – 54 x 54 x 24 mm (Plastic case)
  • Weight – 101 grams
  • Temperature Range – 0°C to 40°C

Source: https://www.cnx-software.com/2020/12/29/aws-iot-edukit-leverages-m5stack-core2-esp32-hardware/

A look into the features of Toit programming language

Unlike other programming languages used for embedded systems, Toit is a language that was developed solely for IoT. So, it is a dedicated language for IoT that allows for better power management which is important for battery-based systems. Toit features an automatic memory management system which helps to avoid crashes. The new language also comes with a garbage collector, aiding the memory management system. Features like these are not available in traditional programming languages and might be a challenge implementing those using languages like C.

“With Toit, we wanted to create a high-level language that would avoid the limitations of the existing languages used in IoT development. On top of this, the Toit language had to be intuitive to learn and safe to use.” says the Toit team. The syntax of Toit is modern, simple and quite similar to Python. So, a Python developer can easily learn this new language within a few hours and deploy their first application within 15 minutes. Toit is an indentation based language just like Python and has no braces or semicolons. The files are saved with ‘.toit’ extensions and have a VS code language extension for a richer developing experience. So once you start developing with the Toit platform, there’s no coming back.

Source: https://opencloudware.com/toit-platform-redefines-the-way-we-implement-iot-applications/

Industrial use of ESP32-based solutions

One of industrial IoT devices, supporting Espressif’s ESP32 technology is eModGATE from TECHBASE. Economical, ESP32-based solution can serve as an end-point in any installation or works well as a gateway, gathering data from scattered sensor mesh across the installation. For more information and also Raspberry Pi based solutions check Industrial IoT Shop with all the configuration options for eModGATE.

eModGATE with ESP32

Toit was founded in 2018 by a team of developers who built V8 for Chrome on Google in order to build a generic firmware for IoT devices that will replace the traditional development process. They offer a completely new feature set and a new Python-like programming language developed specifically for IoT. Toit is a high-level object-oriented language with a simple, easy-to-use Python-like syntax that is 20 times faster than MicroPython.

Key Features for Toit IoT Platform:

  • Light and efficient multitasking capabilities on an MCU, enabling complex IoT solutions to work on battery-powered devices.
  • A new high-level object-oriented programming language.
  • A publicly available gRPC API to have full control over your devices.
  • An MQTT-like PubSub API for communicating with other devices over the cloud.
  • Cellular connectivity with NB-IoT / CAT M-1 and out-of-the-box Wi-Fi support
    CLI and SDK support on Windows, macOS, and Linux.
  • VS Code extension for seamless integration with their platform, allowing for faster development.
  • No subscription or provisioning fees

Source: https://www.cnx-software.com/2021/08/06/iot-development-platform-comparision-toit-balena-particle-microsoft-azure-iot/

A look into the features of Toit programming language

Unlike other programming languages used for embedded systems, Toit is a language that was developed solely for IoT. So, it is a dedicated language for IoT that allows for better power management which is important for battery-based systems. Toit features an automatic memory management system which helps to avoid crashes. The new language also comes with a garbage collector, aiding the memory management system. Features like these are not available in traditional programming languages and might be a challenge implementing those using languages like C.

“With Toit, we wanted to create a high-level language that would avoid the limitations of the existing languages used in IoT development. On top of this, the Toit language had to be intuitive to learn and safe to use.” says the Toit team. The syntax of Toit is modern, simple and quite similar to Python. So, a Python developer can easily learn this new language within a few hours and deploy their first application within 15 minutes. Toit is an indentation based language just like Python and has no braces or semicolons. The files are saved with ‘.toit’ extensions and have a VS code language extension for a richer developing experience. So once you start developing with the Toit platform, there’s no coming back.

Source: https://opencloudware.com/toit-platform-redefines-the-way-we-implement-iot-applications/

Industrial use of ESP32-based solutions

One of industrial IoT devices, supporting Espressif’s ESP32 technology is eModGATE from TECHBASE. Economical, ESP32-based solution can serve as an end-point in any installation or works well as a gateway, gathering data from scattered sensor mesh across the installation. For more information and also Raspberry Pi based solutions check Industrial IoT Shop with all the configuration options for eModGATE.

eModGATE with ESP32

Amazon‚s website has introduced a Software Audio Front End (AFE) Development Kit section that lists software algorithms that optimize sound detection in noisy environments. The latest addition is the Amazon Alexa recently certified Espressif audio front end or ESP AFE algorithm for shorts.

The Espressif AFE algorithm was certified by Amazon after achieving excellent performance in long-range Alexa testing. In most cases, in low signal-to-noise scenarios, the wakeup rate reaches 100% and the speech recognition rate exceeds 90%.

Amazon-Qualified “Software Audio Front-End” Solution

Low resource consumption

Espressif’s AFE algorithms are optimized, as they take advantage of Espressif’s AI accelerator that is available in the ESP32-S3 SoC. Espressif’s AFE algorithms consume just 12-20% of CPU and around 460 KB of memory, including 220 KB of internal memory and 240 KB of external memory. This provides sufficient headroom for customer applications on the ESP32-S3 SoC.

Espressif’s AFE algorithms offer an easy and intuitive API for customer applications, so that their performance can change as dynamically as it is required. The distance between the two microphones can be between 20-80 mm, which allows considerable flexibility for the hardware design of developers’ end-products.

Source: https://www.espressif.com/en/solutions/audio-solutions/esp-afe

Industrial use of ESP32-based solutions

One of industrial IoT devices, supporting Espressif’s ESP32 technology is eModGATE from TECHBASE. Economical, ESP32-based solution can serve as an end-point in any installation or works well as a gateway, gathering data from scattered sensor mesh across the installation. For more information and also Raspberry Pi based solutions check Industrial IoT Shop with all the configuration options for eModGATE.

eModGATE with ESP32
Raspberry Pi based controller with Modbus, M-Bus & MQTT support

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 protocol modularity

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).

iModCloud Ecosystem

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.

To read more about ModBerry 500 M3 solution, download PDF datasheet: http://a2s.pl/products/ModBerry/ModBerry_500M3_EN.pdf
Read more about all ModBerry Industrial Solutions at: https://modberry.techbase.eu/

ModBerry hardware modularity

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 & ESP32 use-hack of OpenMQTTGateway

Many developement boards can be used in home and industrial applications to control and manage data. Check out latest video from open-tech infuencer, Andreas Spiess, in which he uses Raspberry Pi and ESP32 boards to build and visualize weight loss system using Xiaomi scale and Node-RED, influxDB and Grafana. Open MQTT Gateway might come in handy too.

Industrial use of Raspberry Pi & ESP32-based solutions

One of industrial IoT devices, supporting Espressif’s ESP32 technology is eModGATE from TECHBASE. Economical, ESP32-based solution can serve as an end-point in any installation or works well as a gateway, gathering data from scattered sensor mesh across the installation. For more information and also Raspberry Pi based solutions check Industrial IoT Shop with all the configuration options for eModGATE.

eModGATE with ESP32
Raspberry Pi based controller with Modbus, M-Bus & MQTT support

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 protocol modularity

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).

iModCloud Ecosystem

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.

To read more about ModBerry 500 M3 solution, download PDF datasheet: http://a2s.pl/products/ModBerry/ModBerry_500M3_EN.pdf
Read more about all ModBerry Industrial Solutions at: https://modberry.techbase.eu/

ModBerry hardware modularity

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.

Docker VPN-based Raspberry Pi Server tutorial

Many developement boards can be used in home and industrial applications to control and manage data. Get secure remote access from anywhere via your own VPN based on Docker containers. Check out latest video from open-tech infuencer, Andreas Spiess, in which he uses Raspberry Pi and Docker, Node-RED, influxDB and Grafana to build custom Raspberry Pi data server.

Docker implementation in CM4 cluster – ClusBerry-2M

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-2M opens up completely new capabilities of utilizing cluster solutions for Industrial Automation and server applications.

ClusBerry-2M 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-2M series also offers two M.2 NVMe SSD slots and up to four standard miniPCIe 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-2M 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-2M provides 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.

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.

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.

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.

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.