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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.

IoT Security with latest SLM 9670 Industrial Grade TPM 2.0

Like other embedded systems, Industrial IoT design faces a constant stream of threats. As hackers adopt new attacks, developers rush to close security holes. Deployed devices need to update IoT firmware, increasing potential security vulnerabilities. For example, using a simple firmware verification check can leave the software published. In this situation, the developer may expect to be able to query external resources for verification and catch attempts to replace the firmware with hacked code. However, even relatively novice hackers can replace the firmware with code that ignores such verification checks. To secure these vurnerabilities comes Industrial Grade TPM 2.0.

Securing devices with Infineon industrial grade TPM

Infineon Technologies AG has unveiled a new security chip that defines the first TPM (Trusted Platform Module), designed specifically for industrial applications such as industrial computers, servers, industrial controllers and edge gates. The module protects confidential data in connected devices and reduces the risk of leakage of this information due to attacks, e.g. hackers.

The OPTIGA TPM SLM 9670 module protects the integrity of industrial systems and the identity of users using them. The system controls access to sensitive data at key locations in industrial environments, such as an automated factory. It also protects the cloud interface if the network uses one. The security system fully meets the TPM 2.0 standard developed by the Trusted Computing Group and is certified by an independent test laboratory in accordance with the criteria contained in this standard. The new module is meticulously controlled and certified by Infineon. Thanks to its use, it is possible to shorten the time of designing and introducing the device to the market, thanks to the ready security solution in the system.

The TPM system has a lifetime declared as 20 years. It allows programmers to perform firmware updates, which in turn enables them to meet the long-term security requirements in rapidly changing industrial environments. In this way, it can also reduce maintenance costs of industrial equipment thanks to secured remote software updates. The TPM chip will be available in serial production in the second half of 2019.

TPM 2.0 Key Features

  • Random Number Generator (RNG) according to NIST SP800-90A
  • TPM FW update functionality installed
  • 6962 Bytes of free NV memory
  • Full personalization with Endorsement Key (EK) and EK certificate
  • Up to 3 keys in the volatile memory
  • Up to 7 keys in the NV memory
  • Up to 8 NV counters
  • Support of various cryptographic algorithms:
    • RSA-1024 and RSA-2048
    • SHA-1 and SHA-256
    • ECC NIST P256
    • ECC BN256

Security chip implementation in Industrial IoT devices

With knowledge of latest Industrial IoT security measures, the choice of proper end-point conroller or gateway is much easier than you think. Some manufacturers can implement TPM 2.0 security chip in production process, to allow users to generate certification keys after purchase, maximizing security of their installations. TECHBASE offers wide range of solutions, optionally aided with TPM system.

For example, ESP-32 based solution, Moduino X series and eModGATE series products offer the support for such security measures. Read more in Industrial IoT Ecosystem brochure, to understand the importance of reliable and secure hardware for Industrial IoT.