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IIoT Wireless Vibration Sensors for Equipment Maintenance and Now - GHG and CO2 Emission Tracking

The Ground-Breaking Additional Use Case for GHG and CO2 Emission Tracking To Support Asset Owners in the Energy Transition Using Wireless Vibration Sensors.

IIoT Support GHG and CO2 Tracking - Miniotec
IIoT Support GHG and CO2 Tracking

Energy consumption and carbon footprint minimisation have become major concerns for businesses and organisations worldwide. With the growing pressure to reduce emissions and achieve net-zero goals, it is essential for companies to have a comprehensive understanding of their energy consumption patterns. One way to achieve an aspect of this, whilst also performing wireless vibration monitoring is by utilising IIoT wireless vibration sensors such as the innovative technology offered by Miniotec.

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A Wireless Vibration Sensor that Differentiates

This wireless vibration sensor offers an added feature to help manufacturers and operators track the energy consumption patterns for their motor-driven equipment. Within each wireless sensor are 6 sensors in 1 device, one of which is a magnetic flux sensors. Through integrating high-quality magnetic flux data obtained by the wireless vibration monitoring system with machine health, the wireless system is able to calculate the change in power usage. This helps to determine which assets are consuming higher energy (an outcome or problematic operation) and thus provides asset performance insight that enables maintenance teams to identify 'bad actors' and mitigate any inefficiencies in their energy consumption as well as monitor vibration data.

Miniotec offers the world’s only 6-in-1 sensor (integrated triaxial accelerometer, wireless temperature sensor (measures surface temperature), magnetic flux, RPM (speed) extraction, acoustic (inaudible range) and humidity), long battery life, broad frequency range and sample rate, withstands high temperatures, high data quality, with fully automated anomaly detection, failure mode classification and remaining useful life determination (RUL) using sophisticated machine learning and signal processing algorithms that easily connects to a cloud platform.

Therefore, in addition to offering predictive maintenance capabilities, these wireless sensors also transmit data to enable asset owners to reduce their carbon footprint and save on energy costs. By understanding the cost of energy lost across the facility, asset owners, regardless of industry sector, can estimate the extra CO2 emissions released by poorly operating equipment. Additionally, by keeping track of how much energy assets are using as a result of unhealthy operation, companies can take steps to reduce their GHG emissions and carbon footprint.

One of the unique benefits of this wireless IIoT sensor is its vast data collection capability which enables it to monitor power consumption and CO2 emissions in near real-time through the sensor's integrated magnetic flux sensor. By tracking the change in energy consumption of various motors within industrial equipment, asset owners can understand the holistic health of their rotating equipment and take corrective steps to reduce their operating costs by identifying and eliminating unhealthy conditions. Additionally, by monitoring the change in energy consumption and resultant increase in CO2 emissions, asset owners can measure the excess CO2 emitted by unhealthy machines under fault conditions and take steps to reduce their carbon footprint.

Another important aspect of energy GHG and CO2 Emission tracking is the ability to track the monetary value of total energy lost across motor-driven assets. With advanced AI, the wireless vibration sensor can assist companies to keep track of the total cost of lost energy. This information can be used to make informed decisions and take steps to reduce energy waste and costs.

The Added Benefits of the LTE Communication Protocol

The wireless sensors offered by Miniotec have the added benefit of reducing CO2 emissions and GHG emissions through how they are installed. The wireless sensor does not require a Gateway, making deployment and condition monitoring the quickest and simplest of all competitive sensors. And unlike fix-wired sensors, wireless sensors using a LTE wireless protocol do not require excavation or trenching, which are energy-intensive and generate significant amounts of GHG emissions.

Similar to how your smartphone connects to a cellular network, a version of the vibration sensor Miniotec provides can connect directly to the nearby cellular or LTE network. The sensor is easy to install so it only takes 5 to 10 minutes to send data and to be connected, providing a solution to enable the tracking GHG emissions and support a strategy to achieve net-zero goals.

Another important factor is that wireless sensors can be more easily relocated, which can reduce the overall carbon footprint of their adoption. For example, if a wired sensor becomes damaged or if the monitoring requirements change, the entire sensor must be typically replaced, including the wiring and the associated excavation and trenching. In contrast, wireless sensors can be easily replaced or relocated to a new location, reducing the need for excavation, trenching and associated emissions.

Read more about this revolutionary wireless vibration sensor here.

In Summary

Wireless Vibration Sensor Differentiation Wireless Vibration Sensor Differentiation to Support GHG and CO2 Tracking - Miniotec
Wireless Vibration Sensor Differentiation to Support GHG and CO2 Tracking

Energy consumption and carbon footprint minimisation rightfully continue to be pressing issues for all organisations worldwide. Miniotec offers a unique solution to this challenge with an innovative wireless IIoT vibration sensor.

This wireless vibration monitoring system not only includes multiple sensors such as a wireless accelerometer and wireless temperature sensor to collect acceleration and temperature data to deliver wireless vibration monitoring but also provides a comprehensive understanding of energy consumption patterns. With its integrated magnetic flux sensor, the wireless sensor is able to calculate the change in power usage and determine which assets are consuming higher energy. This helps maintenance teams to identify inefficiencies in energy consumption and reduce their carbon footprint.

In addition to its predictive maintenance capabilities, the wireless sensor has vast data collection capability and enables real-time monitoring of power consumption and CO2 emissions. By keeping track of the monetary value of total energy lost across motor-driven assets, companies can take informed decisions to reduce energy waste and costs. The wireless sensor is easy to deploy, does not require excavation or trenching, and can be easily relocated, reducing the overall carbon footprint of its adoption. With its advanced AI algorithms and sophisticated machine learning, this wireless sensor is an effective tool for companies to support their net-zero goals and reduce their carbon footprint.

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About Miniotec:

Miniotec is a digital consulting and technology solutions provider, dedicated to supporting companies in their digital transformation journeys. Established by a group of experienced engineers, we emphasise the harmonious integration of people, processes and technology. Our team has a rich history of working across various sectors, from energy and resources to infrastructure and industry. We are trusted by the world's largest miners, oil and gas giants, utility companies and even budding start-ups and believe in the transformative power of the Industrial Internet of Things (IIoT) and its role in unlocking valuable data insights. Through IIoT, we aim to facilitate better decision-making, enhance operational activities and promote safer work environments. At Miniotec, our goal is to guide and support, ensuring every digital step is a step forward.

digital transformation

energy transition

GHG tracking

CO2 emissions

digital strategy



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