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An Introductory Exploration of IIoT Delivering Digital Innovation and Efficiency in the Key Energy Sectors of Oil and Gas and Mining Industries
Introduction
In the ever-evolving landscape of the energy sector, unique challenges and opportunities arise demanding innovative solutions. The continued use of Industrial Internet of Things (IIoT) sensors offers a transformational route, bridging the gap between conventional operations and cutting-edge technology. Through alignment with industry-specific needs and adoption of advanced methodologies, IIoT empowers the energy, Oil & Gas (O&G) and mining sectors to reach new heights of efficiency and sustainability.
The journey of IIoT in energy is marked by key stages, each playing a vital role in the overall digital transformation. It begins with Strategic Deployment, laying the groundwork for systematic innovation and integration. This is followed by Simulation, modelling future scenarios for safety and effectiveness. Optimisation comes next, enabling peak performance and resource utilisation. Prediction leverages analytics to turn insights into foresight, paving the way for proactive decision-making. The pursuit of Operational Excellence capitalises on the IIoT advantage, overcoming technological and regulatory hurdles. Finally, Sustained Evolution emphasises the importance of continuous adaptation, ensuring that the implemented solutions remain relevant and resilient.
The upcoming sections will outline the key considerations of each of these stages, shedding light on the intricacies of IIoT in the energy sector and its profound impact on O&G and mining industries. From strategic planning to sustained evolution, the role of IIoT is central to enabling a future where energy operations are not only efficient and reliable but also aligned with global sustainability goals.
Embarking on a journey into the complex world of the Industrial Internet of Things (IIoT) within the energy sector, this article promises to unravel the multifaceted dimensions of digital transformation.
We have attempted top keep this article an introductory discussion and thought invoker. Tailored to professionals and enthusiasts alike, the content will navigate through strategic applications, technological innovations and the human elements that shape the future of energy sector industries.
Here is what we will cover:
Overarching Exploration of IIoT: The article will provide a broad overview of the Industrial Internet of Things (IIoT) in the energy sector. From strategic deployment to sustained evolution, readers will gain insights into the transformative potential of IIoT.
Stage-by-Stage Analysis: Within sections covering Strategic Deployment, Simulation, Optimisation, Prediction, Operational Excellence and Sustained Evolution, the article will guide readers through the interconnected stages of IIoT implementation, highlighting best practices, challenges and emerging trends.
Focus on People and Culture: In addition to technological and strategic considerations, the article will emphasise the key human aspects of IIoT transformation. It will explore leadership, skills development, collaboration and change management, recognising the critical role of people in driving success in the energy sector's digital transformation.
Strategic Deployment - Laying the Groundwork for the Industrial Internet of Things
In the dynamic and competitive landscape of the energy sector, the adoption of Industrial Internet of Things (IIoT) is more than a technological endeavour; it's a strategic imperative. Laying the groundwork for successful IIoT implementation requires careful planning, alignment with organisational goals and a keen understanding of industry-specific challenges and opportunities.
Importance of Strategic Planning and Systematic Implementation in IIoT
Strategic planning serves as the compass guiding the IIoT journey. It's not just about integrating technology; it's about crafting a cohesive architecture that harmonises technology with business objectives, driving cost efficiency. Systematic implementation ensures that IIoT solutions become integrated assets that enhance business performance and operational effectiveness.
Tailoring Strategies for the O&G and Mining Sectors
Each industry within the energy sector presents unique demands and considerations. Tailoring IIoT strategies requires a deep understanding of the sector's asset management, regulatory landscape, environmental concerns and market dynamics. For instance, in O&G, automation may focus on enhancing safety and compliance, while in mining, the emphasis might be on sustainability and resource optimisation (vis-a-viz).
Risk Assessment and Management
IIoT deployment is not without risks. From cybersecurity threats to technological compatibility, a comprehensive risk assessment is crucial. Assurance in IIoT requires a robust framework that identifies potential hazards, evaluates their impact and implements measures to mitigate or manage them. This includes considerations around data security, equipment reliability, regulatory compliance and the potential disruption to existing operations.
Guidelines for Successful IIoT Deployment
Success in IIoT deployment rests on several key principles:
Alignment with Business Goals: Recognising the strategic value IIoT provides and aligning this with the organisational vision.
Collaborative Approach: Engaging diverse teams or experienced industry partners to foster cooperation and ensure holistic integration and interoperability. There is little value in 're-inventing the wheel' and developing company specific IIoT systems unless there is a specific use case or limitation in existing systems and platforms.
Continuous Monitoring and Adaptation: Applying continuous monitoring systems to track performance and adapt to evolving trends.
Ethical Considerations: Adhering to ethical guidelines, including responsible data management and commitment to social responsibility.
Strategic deployment of IIoT in the energy, O&G and mining sectors is a complex and multifaceted endeavour. By recognising the importance of strategic planning, tailoring strategies to industry-specific needs, diligently assessing and managing risks and adhering to proven guidelines, organisations can lay a strong foundation for successful IIoT adoption. This section sets the stage for what follows, as we delve deeper into the technological and human aspects of IIoT transformation, each building upon the strategic groundwork laid here.
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Simulation - Modelling the Future
In the intricate and demanding landscape of the energy sector, the Industrial Internet of Things (IIoT) has become a catalyst for innovation. By harnessing the data and insights provided by IIoT, the energy industry can model future scenarios, making more informed decisions, enhancing safety measures and achieving operational excellence.
Role of Simulations in Testing and Validating IIoT Solutions
Simulations play a vital role in the development and adoption of new energy solutions. By creating realistic virtual environments, simulations provide the advantage of assessing the performance, safety, efficiency and environmental impact of a proposed technology without the costs or risks associated with real-world experimentation.
Simulations serve as a powerful tool to validate and test IIoT solutions for the energy sector through:
Data-Driven Insights: IIoT provides real-time data from various sources without wires, enabling simulations to predict performance, safety and sustainability. Data can be collected within minutes of installation and support step change operational improvements therefore very quickly.
Efficiency Simulations: Evaluating how IIoT enhances energy consumption and resource utilisation.
Collaborative Development: Facilitating cross-functional collaboration for holistic integration.
Types of Simulations Used
IIoT supports various types of simulations:
Safety Simulations: Ensuring compliance with safety standards in O&G and mining.
Efficiency Simulations: Assessing optimisation of energy management and operational excellence.
Environmental Impact Simulations: Analysing the sustainability and ecological footprint of equipment and processes.
Benefits and Limitations of Simulations
Benefits:
Risk Mitigation: Reducing uncertainties through accurate modelling.
Cost-Effectiveness: Minimising expenses related to real-world trials.
Innovation and Collaboration: Leveraging IIoT data for innovative solutions and teamwork.
Limitations:
Model Precision: Dependent on the accuracy of underlying assumptions.
Technological Constraints: Complex scenarios might present simulation challenges.
Tools and Technologies Commonly Utilised
Modern simulations employ an extensive array of tools:
Simulation Software: Tailored applications that emulate physical procedures and systems.
Data Analytics Platforms: Facilitating the analysis of simulated data for insights and market trends.
Cloud-Based Solutions: Enabling cooperation and scalability in projects.
Virtual Reality (VR) and Augmented Reality (AR): Intensifying immersive and interactive experiences.
Simulations, empowered by IIoT, stand as a cornerstone in the transformation journey of the energy sectors. By enabling a comprehensive examination of various scenarios through simulations, IIoT paves the way for better decision-making, risk mitigation and alignment with global sustainability goals. Used prudently, simulation enables energy players to deploy IIoT with minimised disruption and amplified impact.
Optimisation - Achieving Peak Performance
The pursuit of peak performance is a central goal in the energy sector, encompassing Oil & Gas, mining and beyond. The integration of the Industrial Internet of Things (IIoT) has transformed the way organisations approach optimisation, enabling unprecedented levels of efficiency, effectiveness and innovation. In this landscape, IIoT not only complements existing systems but also drives the emergence of new optimisation technologies.
Techniques for Enhancing Efficiency and Effectiveness in Energy Operations
Data Analytics: Utilising data-driven insights to identify bottlenecks, predict equipment failures and optimise resource allocation.
Automation: Implementing automated control systems to enhance process efficiency and reduce human error.
Machine Learning: Leveraging intelligent algorithms to adapt and improve operations over time.
Energy Management: Implementing strategies to optimise energy consumption, reduce waste and align with sustainability goals.
Role of IIoT in Refining Equipment, Processes and Energy Utilisation
IIoT stands as the core of modern optimisation efforts. By connecting equipment, processes and data, IIoT enables a holistic view of operations by enabling 'dumb' equipment the ability to talk:
Equipment Optimisation: Real-time monitoring and predictive maintenance reduces downtime and extends equipment lifespan.
Process Optimisation: Intelligent control systems are able to adapt to changing conditions, enhancing productivity and quality.
Energy Consumption Optimisation: Smart grids, equipment analysis and sensors enable dynamic energy management, reducing costs and environmental impact.
Integration with Existing Systems and Infrastructures
Integration is a pivotal facet of IIoT refinement, encompassing:
Legacy System Integration: Linking IIoT with established infrastructures, enhancing functionality without disruptive modifications.
Cross-Functional Collaboration: Encouraging communication among IT, operations, business and additional stakeholders.
Security and Compliance: Ensuring integration conformity with regulatory standards, preserving data and system integrity.
Emerging Trends in IIoT Technologies
The field of IIoT optimisation is rapidly evolving, marked by several emerging trends:
Edge Computing: Processing data closer to the source, reducing latency and bandwidth usage.
Digital Twins: Creating virtual replicas of physical assets for simulation and prescriptive analysis. IIoT data can now provide real-time data feeds not previously possible.
Artificial Intelligence (AI) and Robotics: Employing AI-driven robots for tasks that demand precision, consistency and adaptability.
Sustainable Technologies: Focusing on green solutions that align with global sustainability initiatives.
Optimisation in the energy sector is no longer confined to incremental improvements. Through the strategic deployment of IIoT, organisations can achieve peak performance, unlocking new dimensions of efficiency, effectiveness and innovation. From equipment longevity to energy consumption, IIoT optimisation integrates with existing landscapes, embracing emerging technologies and setting the stage for a future where energy operations are not only optimised but also resilient, adaptable and aligned with broader societal goals.
Prediction - Turning Insights into Foresight
In the volatile and fast-paced world of the energy field, the ability to predict future scenarios is paramount. The incorporation of the Industrial IoT (IIoT) has ushered in a new era of predictive analytics, transforming insights into foresight. This shift empowers Oil and Gas companies and mining organisations to anticipate challenges, seize opportunities and make data-driven decisions that align with strategic goals.
Predictive Analytics in the Energy, O&G and Mining Sectors
Predictive analytics leverages a myriad of data sources, statistical algorithms and machine learning techniques to forecast future trends. In the energy sector, this means predicting equipment failures, fluctuations in energy demand, market trends and more. These analytics not only enhance efficiency and reliability but also foster innovation and ecological responsibility.
Role of IIoT in Forecasting Equipment Failure, Energy Demand and Market Trends
IIoT's role in prediction is multifaceted:
Equipment Failure Forecasting: Using sensors and analytics, IIoT can detect early warning signs of equipment wear and tear, reducing downtime and maintenance costs.
Energy Demand Forecasting: Dynamic modelling of energy consumption patterns enables more accurate demand prediction, optimising grid and equipment performance and sustainability.
Market Trend Forecasting: Analysing market data and trends, IIoT supports strategic decision-making, aligning operations with market dynamics and regulatory landscapes.
Tools for Predictive Modelling and Data Analysis
The landscape of predictive modelling is rich with tools and technologies:
Big Data Platforms: Harnessing vast amounts of data for analysis and prediction.
Machine Learning Frameworks: Utilising algorithms that learn and adapt from data.
Cloud Computing: Offering scalability and accessibility for data processing and modelling.
Customised Industry Solutions: Tailored tools that cater to the specific needs of the energy, oil and gas and mining sectors.
Ethical Considerations and Data Security
The power of prediction comes with responsibilities:
Data Privacy: Ensuring that predictive modelling adheres to privacy regulations and ethical guidelines.
Security Measures: Implementing robust security protocols to protect data integrity and confidentiality.
Transparency and Accountability: Maintaining transparency in predictive methods and being accountable for predictions and their implications.
Prediction, powered by IIoT, stands as a beacon of strategic advantage in the energy sector. From forecasting equipment failures to aligning with market trends, predictive analytics is not just a technological advancement; it's a strategic asset that turns insights into foresight. As we embrace this predictive paradigm, considerations around ethics, privacy and security must remain at the forefront, ensuring that the predictive power serves not only organisational goals but also societal values and norms.
Operational Excellence - The IIoT Advantage in Energy, O&G and Mining
Operational excellence is more than a buzzword; it's a fundamental business philosophy and satisfaction that drives organisations in the oil and gas industry and mining sectors towards efficiency, reliability, safety and sustainability. With the advent of the Industrial Internet of Things (IIoT), the pursuit of excellence has taken on new dimensions, opening doors to innovation, agility and continuous improvement.
Definition and Importance of Operational Excellence in These Industries
Operational excellence refers to the systematic management of processes, technology, people and culture to achieve sustainable improvement and alignment with business goals. In the energy sector, excellence translates to optimised production, minimised waste, enhanced safety, regulatory compliance and a commitment to environmental stewardship.
How IIoT Contributes to Efficiency, Reliability, Safety and Sustainability
IIoT serves as a catalyst for excellence in several ways:
Efficiency: Automation, data analytics and intelligent control systems streamline operations, reducing costs and enhancing productivity.
Reliability: Predictive maintenance, prescriptive maintenance, real-time monitoring and robust asset management ensure consistent performance and reduced downtime.
Safety: Advanced sensors that are now more readily deployed into hazardous or hard to access locations, safety simulations and automated safety protocols protect workers and comply with stringent safety regulations.
Sustainability: IIoT enables energy-efficient operations, waste reduction and alignment with sustainability initiatives including Scope 1, Scope 2 and Scope 3 project initiatives.
Challenges in Achieving Operational Excellence
Achieving excellence is not without hurdles:
Technological Challenges: Integration with legacy systems, technological compatibility and the complexity of deployment can be barriers.
Regulatory Hurdles: Navigating the maze of regulations across different jurisdictions requires careful planning and adherence.
Cultural and Organisational Barriers: Resistance to change, lack of collaboration and misalignment with organisational culture can impede progress.
Strategies and Best Practices for Continuous Improvement
Embracing excellence requires a continuous journey:
Strategic Alignment: Ensuring that IIoT initiatives align with business objectives and industry standards.
Cross-Functional Collaboration: Engaging various stakeholders to foster innovation and ownership.
Agile Methodologies: Adopting agile practices to adapt to change and innovate.
Performance Monitoring and Feedback: Implementing KPIs and feedback loops for continuous monitoring and improvement.
Ethical Considerations and Social Responsibility: Balancing technological advancement with ethical practices and societal needs.
Operational excellence is the heartbeat of success in the energy sectors. With IIoT, this pursuit transcends traditional boundaries, fusing technology, strategy and culture into a cohesive framework that drives continuous improvement. While IIoT delivers clear advantages, overcoming legacy mindsets and changing ingrained habits remains challenging. Continuous alignment of people, processes and technology is key to embedding operational excellence within organisational culture.
Sustained Evolution - The Continuous Journey
In the dynamic landscape of the Industrial Internet of Things (IIoT), embracing change is not just a strategy; it's a necessity. The energy sectors must continually evolve to maintain relevance, meet emerging challenges, satisfy societal beliefs and needs and seize future opportunities. This journey towards sustained evolution intertwines technology, leadership, culture and foresight into a fabric of continuous innovation and growth.
Importance of Iterative Refinement and Adaptation in Maintaining Relevance
The road to excellence is paved with continuous learning, refinement and adaptation. It's about recognising that IIoT is not a one-time implementation but a living ecosystem that must evolve with:
Market Changes: Adapting to shifts in market demand, consumer preferences and global trends and needs.
Technological Advancements: Integrating new technologies and methodologies to stay at the forefront of innovation.
Regulatory Compliance: Aligning with evolving legal frameworks and standards to ensure responsible operation.
Techniques for Monitoring, Evaluating and Improving IIoT Solutions
Sustained evolution requires a rigorous approach to monitoring, evaluation and improvement:
Performance Metrics: Implementing SMART Key Performance Indicators (KPIs) to measure success and identify areas for improvement.
Feedback Loops: Creating channels for customer, employee and stakeholder feedback to inform continuous refinement.
Agile Practices: Adopting agile methodologies to foster rapid assessment, testing and implementation.
Ethical Considerations: Balancing innovation with ethical guidelines and social responsibility.
Role of Leadership, Organisational Culture and Cross-Functional Collaboration
The journey towards sustained evolution transcends technology; it's rooted in leadership, culture and collaboration:
Leadership Vision: Setting clear direction and values that guide IIoT initiatives.
Organisational Culture: Fostering a culture of innovation, learning and collaboration.
Cross-Functional Synergy: Bridging gaps between IT, operations, business and other departments to create cohesive solutions.
Future Outlook: Emerging Technologies, Regulatory Landscapes and Industry Needs
Looking ahead, the path to sustained evolution in industrial operations is illuminated by several key trends:
Emerging Technologies: From Artificial Intelligence to Quantum Computing, new technologies will redefine the IIoT landscape.
Regulatory Landscapes: The complex web of global regulations will continue to evolve, requiring adaptive compliance strategies.
Industry Needs: Tailoring IIoT solutions to specific industry needs, such as energy efficiency in O&G or safety in mining, will be paramount.
Sustained evolution is the heartbeat of progress in the energy, oil and gas and mining sectors. IIoT is not a “once and done” initiative, but rather an ongoing journey of aligning to the accelerating rhythm of change. As we navigate this path, the principles of iterative refinement, collaboration, ethical alignment and strategic foresight will serve as guiding stars, ensuring that the IIoT advantage continues to thrive in an ever-changing world.
People – The Heart of IIoT Transformation
The Industrial Internet of Things (IIoT) is not merely another technology; it's a human-centric transformation that redefines how organisations in the energy sectors innovate, collaborate and grow. At the heart of this transformation are the people who drive vision, skills, teamwork and change management, ensuring that IIoT's potential is fully realised.
Leadership and Vision
Leadership plays a pivotal role in setting the vision and direction for IIoT adoption:
Visionary Leadership: Crafting a clear and inspiring vision that aligns with business objectives, sustainability goals and industry trends.
Innovation Culture: Building a culture that fosters innovation, collaboration and continuous learning, embracing technological advancements and agile methodologies.
Strategic Alignment: Ensuring that IIoT initiatives resonate with organisational values, customer expectations and regulatory compliance.
Skills and Expertise
The human capital of skills and expertise is vital for IIoT's success in the energy sector:
Skill Identification: Recognising the necessary technical, analytical and leadership competencies for IIoT integration and operation.
Training and Development: Implementing robust training programs to equip the workforce with relevant expertise in data analytics, cybersecurity, automation and more.
Balancing Knowledge: Striking the right balance between existing industry knowledge and new technological skills, fostering cross-disciplinary collaboration and innovation.
Collaboration and Teamwork
Team dynamics and communication strategies are essential to support IIoT initiatives:
Collaborative Environment: Creating a supportive environment that encourages teamwork, creativity and problem-solving.
Communication Strategies: Implementing effective communication channels to facilitate information sharing, feedback, and alignment across departments.
Cross-Functional Synergy: Bridging the gap between IT, operations, business and other stakeholders to create cohesive IIoT solutions.
Change Management and Adoption
The journey towards IIoT transformation involves understanding and addressing resistance to technological change:
Change Assessment: Analysing organisational readiness for change and identifying potential barriers, such as cultural resistance or technological constraints.
Engagement Strategies: Developing tailored strategies to engage employees in the transformation journey, promoting understanding, ownership and user adoption.
Monitoring and Evaluation: Implementing continuous monitoring and feedback loops to ensure successful change management and continuous improvement.
People are the heartbeat of IIoT transformation or any similar Digital Transformation journey for that matter. From visionary leadership to specialised skills, from seamless collaboration to effective change management, the human aspect of IIoT is the underlying intelligence and glue that binds technology, strategy and culture into a cohesive force for innovation and growth. As the energy sector continues to evolve, the emphasis on people, their talents, their collaboration and their adaptability will remain central to unlocking the full potential of IIoT.
In Summary
The journey through the multifaceted world of the Industrial Internet of Things (IIoT) reveals a complex yet harmonious symphony of technology, strategy, innovation and human potential. As we have explored in this in-depth analysis, IIoT's transformative power extends across the energy, Oil & Gas and mining sectors, weaving together the vital threads of strategic deployment, simulation, optimisation, prediction, operational excellence, sustained evolution and people-driven transformation.
Recap of the Interconnected Stages of IIoT Digital Transformation
The stages of IIoT digital transformation are not isolated silos but interconnected domains that collectively shape the future:
Strategic Deployment: Laying the groundwork with careful planning, tailoring strategies, risk management and systematic implementation.
Simulation: Utilising simulations to model the future, testing and validating safety, efficiency and environmental impact.
Optimisation: Achieving peak performance through enhancing efficiency, integrating systems and embracing emerging trends.
Prediction: Leveraging predictive analytics to turn insights into foresight, forecasting trends and ensuring data security.
Operational Excellence: Embracing the IIoT advantage for efficiency, reliability, safety and sustainability, overcoming challenges and adopting best practices.
Sustained Evolution: Embarking on a continuous journey of iterative refinement, monitoring, leadership collaboration and future outlook.
People Transformation: Recognising the heart of IIoT transformation, fostering leadership, skills, collaboration and change management.
Call to Action: Embracing IIoT as a Pathway to Innovation, Efficiency, and Sustainability
The energy sector stands at a transformative crossroads, and the path forward is illuminated by IIoT. Embracing this technology is not merely an option; it's an imperative. It's a call to action to harness IIoT as a pathway to innovation, efficiency, sustainability and global competitiveness. From reducing operational costs whilst maintaining a sound return on investment (ROI), to enhancing safety protocols, from fostering sustainability to driving innovation and resilience, IIoT is the keystone for a brighter, smarter and more responsible future.
Reflecting on the Global Implications and Opportunities
The ripples of IIoT transformation extend beyond individual organisations, partnerships and sectors; they shape global landscapes. The global implications of IIoT devices encompass economic growth, environmental stewardship, regulatory alignment, workforce development, technological innovation and social responsibility. The opportunities are vast for industrial companies, and the potential is limitless. As industrial environments and nations align with the IIoT paradigm, a new era of interconnectedness, intelligence and integrity will continue to unfold.
As we reflect on the interconnected stages of IIoT, the call to action and the global reflections, let us embrace the IIoT advantages in industrial applications with courage, wisdom and foresight, for the future is here, and it's interconnected, intelligent and infinite. This is why Miniotec are excited to be leaders in this journey.
Frequently Asked Questions
Q. What are the applications of IIoT in the oil and gas industry?
A. The applications of IIoT in the oil and gas industry include automation of processes, real-time monitoring and predictive maintenance of equipment, enhanced safety measures, integration with existing infrastructures and collaboration with cross-functional teams for strategic planning, thereby fostering operational excellence and sustainability.
Q. What is operational excellence in oil and gas?
A. Operational excellence in oil and gas is the strategic implementation of IIoT technologies to optimise processes, improve safety, enhance efficiency, align with global sustainability initiatives and achieve peak performance through continuous monitoring, adaptation and collaboration.
Q. How does the IIoT improve energy efficiency in industrial operations?
A. The IIoT improves energy efficiency in industrial operations by enabling real-time data analytics, optimising equipment and energy consumption, implementing smart grids and sensors, integrating with legacy systems and leveraging emerging technologies such as edge computing, digital twins and artificial intelligence, resulting in reduced costs and alignment with sustainability goals.
Q. What is IIoT in energy management?
A. IIoT in energy management is the utilisation of interconnected sensors, control systems and data analytics platforms to monitor, evaluate and optimise energy consumption in industrial operations, facilitating intelligent decision-making, enhancing energy efficiency and contributing to the overall innovation, transformation and sustainability of the energy sector.
Q. How does the IIoT improve productivity and operational performance in Mining?
A. IIoT improves productivity and operational performance in mining by enabling real-time monitoring, automation and predictive analytics for equipment and processes. For example, the use of wireless vibration solutions in predictive maintenance can detect early signs of machinery wear and tear, allowing timely interventions that reduce downtime and enhance overall efficiency, thereby contributing to strategic transformation and excellence in the mining industry. Mining operators can now focus their efforts on value adding activities rather than mundane activities such as manual data collection, analysis and reporting.
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For a comprehensive list of other Frequently Asked Questions relating to Wireless Vibration Sensors, read this article: https://www.miniotec.com/post/comprehensive-faq-guide-wireless-vibration-sensors
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.
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