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 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.

ModBerry hardware modularity

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).

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/

Edge of 2020 in Industrial IoT - forecast

How to understand Internet of Things phenomenon?

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.

Edge of 2020 in Industrial IoT - forecast

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.

Source: Gartner, https://www.gartner.com/imagesrv/books/iot/iotEbook_digital.pdf

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.

Artificial Intelligence influencing Industrial IoT

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.

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.