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    digital twin

March 21, 2022

Excavators, Utilities & One-call Centers – all stand to gain with Damage Prevention Powered by Makoro™

Artificial intelligence (AI) has altered how businesses maintain, monitor, and construct infrastructure. In the damage prevention sector, advancements such as 24-hour monitoring systems, gas leak detection equipment, and improved safety gear have all contributed to the safety of construction sites and infrastructure projects.

Often ignored in the realm of damage prevention is the use of artificial intelligence (AI), which may be used to optimize ticket processing, monitor all sources of information, develop statistical safety models, and expedite on-site repairs to damaged utilities. When AI is utilized in applications such as 811 call centers and on-site personnel, it has the ability to mitigate risks, detect damage trends, and ultimately eliminate excavator damage.

Due to the volume of tickets generated daily, the ticket processing system at many contact centers may swiftly deteriorate from a trickle to a torrent. Makoro™’s pioneering AI-Digital-Twin-based recommendation technology provides the damage prevention industry with a transformative continuous intelligence platform, which combines Artificial intelligence (AI) with Advanced Analytics to analyze tickets for risk indicators.

In the U.S. an underground utility line is damaged every six minutes. MakoroTM Mind – the underlying AI and Advanced Analytics Platform for Makoro™,  aggregates, correlates data from Geographical Information Systems, assets deployed in the field, and data generated by utilities, excavators, locators, and makes recommendations to mitigate risk in real-time.

MakoroTM automatically categorizes tickets into risk profiles and populates schedules of one-call center personnel based on the risk assessment. Moreover, Makoro™’s predictive analytics makes predictions of damage based on utilities around job sites and the risk record of excavators.

Not only does Makoro™ provide total insights into the operations of asset owners, operators, and call centers, but having a system that learns continuously from the root cause analysis of damages and damage tickets enables our customers to make better safety recommendations and constantly enhance operational efficiency.

While artificial intelligence has a variety of uses in the damage prevention business, one thing they all have in common is the collection of correct data to aid in determining predictability.

Regardless of whether AI is used to identify or warn employees of potential hazards, workers stand to gain from better safety recommendations based on Makoro™’s Continuous Intelligence platform. For damage monitoring systems such as the DIRT Report, Artificial Intelligence has the potential to change how One-Call centres and national organizations measure, report, and act to mitigate future damages.

Makoro™ leverages customers’ existing infrastructure investments (cloud, on-premise, or hybrid) and interacts effortlessly with the customer’s existing private/public/hybrid cloud, on-premise, and edge systems.

August 17, 2021

Digital twin & its practical implementation in Industries

Digital twin

Digital twin refers to the exact virtual prototype of an object, process, or system covering its entire life cycle. This prototype is based on real-time data and uses simulation, machine learning, and reasoning to help decision-making.  

Digital twins form a bridge between the physical and digital worlds. 

The concept of the digital twin was first used by NASA. With the development of the Internet of Things (IoT), the usage of digital twins is expanding. With the onset of Industry 4.0, the digital twin is becoming inevitable to be used by businesses of all scales to optimize and increase profits of their operations. By allowing the creation of digital copies of real-time objects digital twins have opened new avenues of production, maintenance, design, research, and innovation.

Digital twin allows designing, and real-life simulation of an entity even before it is created. This enables the production of only those products that match the standards defined. For instance, with digital twins, 10 different car models can be digitally created, and with real-life simulation can be digitally checked for possible shortcomings, and based on this a near-perfect product can be created. 

Similarly, with digital twins, it is easier to test products in different scenarios without physically requiring the test scenarios. It helps in the optimization and customization of products. In the automobile industry, a digital twin of a car can be tested to handle different collision scenarios, and accordingly, the safety procedure of the car can be updated.

Digital twins in combination with the Internet of things allows for real-time monitoring of objects. With the usage of sensors, the digital twin is continuously monitored remotely. This enables early diagnosis of any future breakdown of the object or system.

Digital twin equipped with real-time data is a tool without rivals in making predictions about possible breakdowns, future wear, and tear. This enables businesses to undertake more efficient preventive maintenance. This reduces the downtime of any unit. With a digital twin, it is also possible to identify the part most likely to malfunction and possible routes to fix the problem.

Teleoperations is one of the key advantage areas of the digital twin. Through teleoperation, it is possible to control the physical object,  system, or process remotely. It allows controlling physical objects virtually, virtual objects physically and virtual objects virtually. The combination of these possibilities helps in creating a teleoperation ecosystem.  It is of indispensable value in controlling operations in hazardous industries and the environment. 

As businesses adopt digital operations and industry 4.0, the firms employing this technology are already gaining an edge in the market. Digital twins are enabling them to better predict, design, maintain and operate their products. The availability of increasingly accurate models and predictions gives them an edge over those that have not adopted the norms yet. 

INDUSTRIES EMPLOYING DIGITAL TWIN

POWER GENERATION- Power generation industries employ humongous machinery and operation designs. Digital twin not only helps in better design and modification but also in time maintenance. This sector cannot face shut down as it provides power to all other sectors. Digital twins help in checking any possible fault well in time. 

LARGE PHYSICAL STRUCTURES AND THEIR SYSTEMS-  Digital twins are imperative in designing large physical structures such as bridges and offshore drilling operations. At the same time, the digital twin is used in the maintenance and remote operations of systems within these structures. For instance,  in the case of oil drilling, it helps to predict the depth and exact location of drilling operations most viable for the equipment.

MANUFACTURING OPERATIONS- The manufacturing operations are increasingly using digital twin at all levels. Ffom product design, customization, process, maintenance to delivery of the product.

HEALTHCARE SERVICES- Just like with physical objects, a digital twin of a human can be created. In the healthcare system, the digital twin is used to make a prognosis of the patient, try the possible treatments, check their consequences. It is being used to develop better medical facilities. 

AUTOMOBILE INDUSTRY– The automobile industry operates in complex interwoven systems. The digital twin helps in the design, simulation, and prediction of the automobile as well as that of the environment surrounding it.

These industries are the most prominent employers of digital twins but by no means the only users of digital twins. 

DIGITAL TWINS AND BUSINESS FUTURE

As per the The “Digital Twins Market by Technology, Solution, Application, and Industry Vertical 2020-2025” report

  • Up to 89% of all IoT Platforms will contain some form of Digital Twinning capability by 2025 
  • Digital twinning will become standard feature/functionality for IoT Application Enablement by 2027

How can Makoro™ assist?

Makoro™ employs a cloud-agnostic approach that fully leverages the customer’s infrastructure and installs on the edge, in public/private/hybrid cloud, and in the customer’s data centers to expedite deployment. Makoro™ is also available as a fully managed application suite on Makoro™ Cloud.

Makoro™ Predictive Asset Performance Management solution collects and correlates data from the manufacturer’s internal applications, inventory management systems, and maintenance management systems in real-time and generates recommendations for optimizing asset and workforce utilization while reducing overall maintenance costs. The digital performance twin in Makoro™ Mind constructs an asset health and performance model from data from linked devices and maintains it through periodic re-training. As a consequence of real-time IoT data from the asset, engineers have a full picture of how the asset is operating. Makoro™’s Performance Twin enables the identification of possible asset issues, remote troubleshooting, and integration with Makoro™’s Recommendation System to offer contextual suggestions for proactive asset performance improvement.

And, because Makoro™ enables secure access to your plant’s predictions, insights, and recommendations from any device, it plays a critical role in your remote operations strategy, enabling your operations executives to make more informed, timely, and consistent decisions about their plant’s operations remotely.

Request a demonstration to discover what Makoro™ can do for your business.