You can read the complete tutorial at Hackster.io:
Wpisy
You can read the complete tutorial at Hackster.io:
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.
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.
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.
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.
You can read the complete tutorial at Hackster.io:
TECHBASE’s Industrial IoT devices, ModBerry & Moduino series supports latest SIMCom global-band SIM7000G eMTC & NB-IoT Module. Now the latest SIM7000G as well as 7000E / 7000A versions of modem are available at IIoT-Shop.
Our ModBerry / Moduino devices equipped with latest SIM7000G modem are perfect for industrial automation solutions, e.g. data logging, metering, telemetrics, remote monitoring, security and data management through all Industrial IoT applications.
Supported bandwidths:
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- Global-Band LTE CAT-M1: B1/B2/B3/B4/B5/B8/B12/B13/B18/B19/B20/B26/B28/B39;
- Global-Band LTE CAT NB-IoT1: B1/B2/B3/B5/B8/B12/B13/B17/B18/B19/B20/B26/B28;
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- GPRS/EDGE 850/900/1800/1900Mhz Control Via AT Commands
Supported data transfer:
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- LTE CAT-M1(eMTC) – Uplink up to 375kbps, Downlink up to 300kbps
- NB-IoT – Uplink up to 66kbps, Downlink up to 34kbps
- EDGE Class – Uplink up to 236.8Kbps, Downlink up to 236.8Kbps
- GPRS – Uplink up to 85.6Kbps, Downlink up to 85.6Kbps
You can browse wireless modem category here: https://iiot-shop.com/product-category/modems/
First Industrial IoT device based on UP Board
In 2017, the first unit that entered the ModBerry series was a device called ModBerry M1000, utilizing the capabilities of Aaeon’s UP Board platform. The solution uses Quad-core Intel Atom x5-Z8350 processor with 4x 1.44GHz frequency (boost up to 4x 1.92GHz), up to 4GB RAM and 64GB eMMC on board. The platform also features USB 3.0 and Gigabit Ethernet 10/100/1000Mbps for faster communication and supports various operating systems, e.g.: full distribution of Microsoft Windows 10 Pro/Home/IoT, Microsoft Windows 10 IoT Core, Linux and Android.
To read more about Industrial ModBerry solutions, visit: https://iot-industrial-devices.com/
New base platform for Industrial ModBerry device
New addition to TECHBASE’s Industrial IoT Ecosystem is Modberry M2000, powered by Aaeon’s UP Squared development platform, to maximise the performance of Gateway Layer and provide the best data management for end-point layer, built with Industrial Moduino ESP32 devices.
ModBerry M2000 is an industrial computer series designed for the needs of automation, telecommunications, remote supervision and monitoring. ModBerry M2000 comes a choice of processor: Dual-Core Intel N3350 2×2.4GHz or Quad-Core Intel N4200 4×2.5GHz, 2/4/8GB and 16/32/64/128GB eMMC on-board with possibility to expand the storage even further with SATA3 & M.2 slot.
ModBerry M2000 platform can be extended with supported ExCard modules, including physical industrial interfaces: RS-232/485 ports, Digital I/Os, Analog I/Os, Relay, Ethernet, 1-Wire, USB, CAN; and wide range of wireless communication modules: Wi-Fi, Bluetooth GPRS/3G/LTE, for energy-efficient NarrowBand-IoT/LTE cat. M1/NB1, GPS, Wireless M-Bus, LoRa, ZigBee and many more.
ModBerry device and be equipped with dedicated iMod software platform to support standard protocol, such as MQTT, MODBUS, SNMP, M-Bus and many custom protocols. iMod – an innovative software platform allowing for quick start-up and full exploitation of device capabilities without the need for writing programs. A fully configurable system is reflecting typical C-L-V (Convert-Log-Visualize) use. Of course, the PLC software for creation of algorithms in the ladder system with the capability of operation on ModBerry device services the MODBUS protocol is also available.
To order sample devices, visit our new Industrial IoT Shop and ask our Sales Department via chat about new ModBerry M2000:
Various data connection protocols & MQTT data management solutions
To take full advantage of the TECHBASE’s Industrial IoT Ecosystem’s capabilities, you can build your own installation, depending on project requirements, choosing from variety of Gateways (Gateway Layer) to control data collected from an array of Moduino edge devices (Sensor Layer). Moduino can be programmed in one of open software platforms, e.g. MicroPython to gather the data and send it, using MQTT standard protocol, further to Gateway and/or cloud service.
Both Moduino ESP32 and Pycom-based Moduino supports open & free libraries, shared by Pycom, tested and approved by constantly growing ESP32/Arduino community. TECHBASE company has plans to provide an open-source platform for managing services & remote configuration and control of endpoint Moduino devices using MicroPython.
Wide range of protocol support
All TECHBASE’s solution can be empowered with iMod software incl. protocol support for industrial interfaces, e.g. M-Bus, Modbus, SNMP, MQTT. iMod software works seamlessly with Node-RED using MQTT protocol, allowing use of bacnet and direct control over devices I/Os with Google’s platform-neutral protobuf – extensible mechanism for serializing structured data and zeroMQ controls to connect the code in any modern language, on any platform. The protocol drivers library can be expanded with CODESYS development system to support PROFIBUS, CANopen, EtherCAT, PROFINET and EtherNet/IP.
We will use two devices, which contain this processor: Moduino ESP32 and Pycom. Both devices are running in MicroPytthon environment. Our Modbus Slave will be PC computer with Modbus simulator software running on it.
You will need:
- Moduino ESP32 or Moduino Pycom device (check this website to find out more about Moduino ESP32 device and this to check Pycom device)
- PC with Linux operating system
- RS-232/RS-485 port in your computer or USB to RS-232/RS-485 converter
You can read the complete tutorial at Instructables.com:
Sleep functionality for ModBerry/Raspberry Pi devices
TECHBASE company designed new extension module for RaspberryPi-based devices, ModBerry series for better power management in changing conditions of industrial environments. With the use of GPIO the module can manage sleep mode or safe shutdown of device in terms of unexpected drop in the power network.
In last few years developers marketed wide range of ARM-based development boards, lacking in enhanced power management, especially sleep and wake up modes, commonly used in PC-grade computing. These boards are not adjusted for battery power supply, so it’s natural that sleep/wake functions should be implemented. In connection with the development of solutions based on Linux-SBC, key factor is adding sleep modes to any remote installation
With built-in algorithms and the possibility to program on your own, the TECHBASE’s sleep/wake addon module can wake the device using schedule/timer. Another option is wake on external trigger, e.g. change of input, etc. All the options for sleep, shutdown and wake can be configured for various scenarios to ensure constant operation of devices, safety of data and continuity of work in case of power failure in any installation.
The preliminary module for ModBerry devices is available on request and delivery time will be specified by Sales Dept. depending on the size of the project.
Sleep mode with additional power backup
Additional power management option for ModBerry devices is sleep functionality enhanced with SuperCap UPS energy backup device. This solution allows programming scenarios including the execution of chosen actions, in order to save data, send a notification and restart/shutdown the controller after completion.
Advanced power management solution
Most advanced configuration includes use of Moduino ESP32 device for extra logic for wake up / sleep scripts. This addon will allow the RaspberryPi-based ModBerry device to be woken up by Moduino controller via Wi-Fi/GSM/LAN networks.
Moduino-ModBerry symbiosis allows wide range of wake-up/sleep schedule customization, in order to perform best and save energy accordingly to power supply state. Arduino and MicroPython environments provide libraries to control different scenarios of data and power management.
New SuperCap options for Moduino/ModBerry
The SuperCap UPS-SC01 backup power supply is equipped with a highly available backup feature to safely bridge fluctuations, drops or failures accompanying standard 9~30VDC supply voltage and avoid interruption of output voltage in industrial and automation environments. For this purpose SuperCap UPS-SC01 utilizes two supercapacitors (so-called supercaps) as a durable, cycle-resistant and maintenance-free solution for backup energy storage and failure safety.
The UPS-SC01 model is available for purchase at price set to 90€. SuperCap family offers now preliminary and revised models: UPS-SC02 with twice the capacity at 135€ and UPS-SC04 respectively at 180€ with quadrupled capacity of the base device, which can be preordered at our new Industrial IoT Shop, here: https://iiot-shop.com/product/supercap-ups/