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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.

Battery powered IoT devices crucial to 2020+ standards

Technology must transfer data to the central system in real time, otherwise it may have negative consequences. If the sensor battery power runs out, a machine failure may stop production for one day or lead to direct danger. If battery life is unbelievable and short, IoT applications will become useless, causing more interference rather than making life easier for its intended purpose. Therefore battery powered IoT devices come as a standard in up-to-date IoT installations

Wireless sensors and sensor networks are one of the elements of the Internet of Things systems and intelligent factories. Replacing the standard sensors and data collection devices with versions that communicate wirelessly gives many benefits, but also enforces a highly thought-out system design that will minimize energy consumption. This is important because these systems must work for many years without servicing. In the article we present the issues regarding the design of systems and forecasting of energy consumption in IoT systems.

Wireless communication vs Battery power

The idea of wireless sensor networks has been around for at least two decades, while the IEEE subgroup working on personal wireless networks defined the 802.15.4 standard in 2003, a year later the first versions of ZigBee appeared. Since then, many varieties of wireless communication have been developed, such as LoRa & NarrowBand-IoT and additional functions introduced, as a result of which designers now have a choice of various open or proprietary protocols. What significantly affects the way the entire project is implemented is energy consumption.

Battery powered IoT installation. Source: https://modberry.techbase.eu/

The basic elements of these systems are sensors that measure physical quantities. Some signal and data processing capabilities are also important. After all, the communication interface is important, which will allow you to pass the measured data on. Such a sensor node should wake up from time to time, make contact with its superordinate controller, transfer data and fall back to sleep again. Battery life depends on the total charge collected. Minimizing this consumption in the long run means that you need to minimize energy consumption during each work cycle. In many cases, the sensor will only work for a small fraction of the time. A measurement that lasts a few milliseconds can be triggered once per second, once per minute, or even less frequently. Therefore, the energy consumed in sleep mode may dominate the total energy consumption.

Battery powered sensors market growth

The lifetime of IoT sensors varies greatly: some last a year years, others 10, the first being the most realistic. When organizations need to deploy engineers to install new batteries in sensors and employ staff to monitor them, the benefits of technology itself are beginning to run out.

Battery powered IoT devices crucial to 2020+ standards

It is estimated that in 2020 nearly 31 billion devices will be connected to the Internet of Things. Such forecasts provide ample opportunities, especially for producers associated with the products that make up it, and they are intensified by the developing IoT technology.

Source: https://globenergia.pl/co-laczy-internet-rzeczy-i-perowskity-fotowoltaika-do-zastosowan-wewnetrznych/

Battery-ready IoT devices based on ESP32

Battery / SuperCap power support allows the processes and data to be securely executed, saved or transferred, and the operating system to be safely shutdown or reboot, if the power source has been restored. The power failure alert can also be sent to cloud service, to perform custom task, specified by user or self-learning AI algorithm.

The Moduino device is a comprehensive end-point controller for variety of sensors located throughout any installation. It fully supports temperature and humidity sensors and new ones are currently developed, e.g. accelerometer, gyroscope, magnetometer, etc.

Battery powered Moduino ESP32
Battery powered IoT installation. Source: https://modberry.techbase.eu/

ModuinoModBerry 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.

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.