Applications of IoT in Manufacturing Plants

IoT is profitable in the fields where both faster development, as well as the quality of products, are the critical factors for a higher Return on Investment (ROI). One of such fields is the manufacturing industries, and Industrial Internet of Things (IIoT) has transformed it with things like big data, artificial intelligence (AI) and machine learning.

IoT

IoT has multitudes of applications in manufacturing plants. It can facilitate the production flow in a manufacturing plant, as IoT devices automatically monitor development cycles, and manage warehouses as well as inventories. It is one of the reasons investment in IoT devices has skyrocketed over the past few decades. IoT in manufacturing, logistics and transportation will rise to $40 Billion by 2020.

Therefore, it is essential to understand the applications of IoT in manufacturing plants. The implementations are:

Digital Twins

Shortcomings and faults in the final product increase expenditure and overburden employees in a manufacturing industry. Digital twins replicate the developing product in a digital form. Whereas, by retrofitting sensors, industries gather data about their product’s entire working mechanism and the output expected from each module. The collected data from the digital replica enables managers to analyze the effectiveness, efficiency and accuracy of the system. They can also identify potential bottlenecks in their product that helps them to create a better version of their product. Lastly, digital Twins streamline operations like asset management and failure management. It supports industries in forecasting the completeness of their baseline and successfully follow their deadlines.

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Supply chain management

IoT devices track and trace the inventory system on a global scale. Industries can monitor their supply chain by getting meaningful estimates of the available resources. It includes information regarding the undergoing work, equipment collection, and the delivery date of required materials. IoT devices also eliminate the need of manual documentation for operations and introduce Enterprise resource program (ERP). They avail the facility of having cross-channel visibility into managerial departments and help the stakeholders in examining the undergoing progress.  It reduces the expenditure due to mismanagement and lack of analysis in the organizations.

Self-dependent systems

Productions issues and equipment failures are inevitable in a production environment. However, resolving them is expensive as well time-consuming. The consolidation of IoT and machine learning enables machines to deduct issues and fix them on their own. It creates self-healing automated systems that intelligently regain control when the downtime occurs. The embedded sensors notify the production team about the underlying issues. The automated and independent systems reduce manual efforts and boost the development process. They provide freedom to the production unit to concentrate on other critical issues and increase their productivity. Self-dependent systems provide resilience to industries and help them to achieve a faster time to market.

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Workshop Mirroring

IoT can interlink market-ready solutions (MRs) and the enterprise information management system. It helps industries to automate the control of IoT-enabled manufacturing activities that are executed in workshops. Industries can access, identify and control the manufacturing execution process. It helps in covering all the scenarios from the start of production to the delivery of the final product.  The data from IoT-enabled manufacturing layers becomes the production and product-related input for an industry.  IoT devices enable enterprises to rightly addresses the issues related to connection, computing, and control.

Smart Pumping

IoT devices can be a utility in power plants, water management, and chemical manufacturing. The embedded sensors in a pump regulate as well as control the flow and pressure of water. These devices automatically turn off pumps according to the predefined metrics. They also collect real-time information about the performance of the systems. It helps industries to control electricity expenses, reduce manual labour and proliferate the production with the minimum wastage of water. IoT-enabled pumping systems enable industries to install a connected, flexible, and efficient pumping system.

Industrial Internet of things (IIoT) can transform the way industries work. It can create autonomous self-healing machines and enhance inventories using machine-learning. Industries can manage their supply chain using IoT devices and run the production cycle economically. The interconnectivity along with automation reduces human labour and provides faster time to market.

The New IoT Cybersecurity Act: A Step in the Right Direction

The prospective law aims to ensure that Right devices are protected and not vulnerable to attack and also that vendor products are both patchable and conform to industry standards. It would also prohibit vendors from supplying devices that have unchangeable passwords. In addition, the bill also directs the Office of Management and Budget to develop alternative security requirements for devices with limited data processing and software functionality and requires each executive agency to inventory all internet-connected devices in use.Right

If passed, the bill would also require the government to issue guidelines calling for each agency to include certain clauses in future contracts when IoT devices are being acquired. This includes using modern and non-deprecated protocols, as well as requirements for updating, replacing or removing, in a timely fashion, vulnerabilities in software and firmware components in a properly authenticated and secure manner. The provisions and guidance in the bill for leveraging existing security standards will be useful for building on the success of successful existing implementations.

The Internet of Things Cybersecurity Improvement Act is a much-needed upgrade to a few critical laws, including the 20-year old Digital Millennium Copyright Act (DMCA). The new legislation seems to be generally viewed as a positive step because it would not significantly impact manufacturers beyond the burdens of shipping a useable product and because security researchers would have increased legal protection enabling them to hack devices to track down exploits.

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IoT Adoption in the US Government

The US government has relied on internet connected devices for years and after the increasing number of attacks, it’s no surprise that it is now making moves to secure the many “things” it purchases and connects.

In a study conducted last year by the Center for Data Innovation, it was shown that the US government uses IoT devices on a wide basis to improve facilities and reduce costs. For example, in the smart buildings sector, thousands of low-cost connected sensors are installed at 80 high-energy-use government buildings. The Government Services Administration uses telematics to track, locate and monitor the emissions of more than 200,000 vehicles to ensure compliance with government mandates for reductions in greenhouse gas emissions by 30% by 2025. Other federal agencies such as the Department of Defense (DoD) use RFID tags and sensors from connected devices to track and manage military supplies, such as clothing, construction materials and medical supplies. These devices have enabled the Defense Logistics Agency and the US Transportation Command to monitor 3.5 billion transactions per month from 67 DoD logistics systems and 250 commercial transportation carriers.

For industries like manufacturing, which will increasingly rely on Digital Certificates and Public Key Infrastructure (PKI), such as GlobalSign’s offering that enables secure device identity, the proposed law is a step in the right direction. Experts have warned for years that connected devices could be exposed without a way to patch their software or replace shared hard-coded passwords set at factories – increasingly a concern since hackers are known for exploiting basic security holes, especially in the case of sensors. By leveraging existing best practices stronger authentication approaches like per-device unique Digital Certificates will be more widely adopted. This prospective law could be a tipping point for manufacturers to collaborate more closely with the cybersecurity industry to ensure that devices in the exploding IoT market are as secure as possible.

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Our Thoughts on the Bill

As GlobalSign continues to expand its offerings for identity and security solutions for some of the world’s largest organizations, we believe the proposed law demonstrates the government is taking the necessary steps to ensure the security of connected devices, and that stronger security solutions will be put in place to limit attacks. Our company is uniquely positioned to issue Digital Certificates at high volume and massive scale to IoT devices – as many as 3,000 per second – delivering strong device identities to enable the foundations of IoT security; authentication, encryption and device integrity. We are working closely with manufacturers of some of these devices, which in some cases could be part of government networks.

We will be monitoring developments around this proposed law and how it will shape the next generation of IoT devices and the industries sprouting up around them. Legislation such as this cybersecurity improvement act will also have market consequences for how organizations do or do not approach IoT security. If passed, the effectiveness of this act will be determined in the following months as the first phases of the program are enacted.

Top 6 BIG DATA Analytics Trends and Predictions in 2020

The technology has made its mark by building a massive shift where the businesses and organizations are adopting it to reach beyond the traditional ways of analytics. It has been seen that the strength of data analysis is also embraced by enterprises all over the world.

Analytics

It is in the process of making significant alterations in the decision-making landscape for branding and recruitment. Since then, we have been witnessing that data analytics is making a remarkable shift in how the business is being done, but it would be more stimulating to see what the technology holds for us in the coming year.

Therefore, let’s have a look at the top data analytics trend and predictions to watch for 2020.

1. Data Analysis Automation

Data analytics automation is the first and foremost, and it turned out to be the most preferred and favoured technology across every industry so that the business potentials could be enhanced and improved. Moreover, it is now expected that 40 percent of the database work to get automated by the next year. We are hoping that the automation is going to help business leaders to efficiently see further ahead to assist in propelling their enterprises with the appropriate analytics to drive decisions.

2. IoT Merged with Data Analytics

With the beginning of the year 2020, we are to witness a remarkable shift, 20 billion active IoT devices, which would subsequently collect more data for analysis. In big tech IT firms where IoT devices have already been embraced in high-end operations, most of the business leaders are already witnessing beyond it to implement the assisting technology to run intelligent data analytics. Hence, the world is likely to acknowledge more analytics solutions for IoT devices to offer relevant data along with transparency.

Additionally, because of the lack of data science professionalists, around 75 percent of companies could suffer while accomplishing the matured benefits of IoT.

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3. In-Memory Computing 

In the year 2020, in-memory computing is likely to get strong influence, since the reduction in the cost of memory turned IMC more mainstream. IMC is an excellent solution for a range of benefits in the analysis while being mainstream. The latest persistent-memory technologies of IMC have now led to a reduction in cost and complexity. Moreover, Persistent-memory tech is a new memory tier that is well situated between NAND flash memory and dynamic access memory.

As the wide-scale implementation of the IMC solution is manageable, several organizations are now adopting in-memory computing to enhance application performance while providing a significant opportunity for future scalability.

4. Data-As-A-Service

In the coming years, Augmented analytics would become dominant. The technology has already shaken up the industry by making the unusual move by merging AI and ML techniques by introducing fresh ways of creating, developing, sharing, and consuming analytics.

The augmented analytics have already become the most preferred and popular techniques to use for business analytics. Some of the significant benefits of augmented analytics provide are:-

  1. It can automate many analytics capabilities like preparation, analysis.
  2. It includes the building of models, as well as the insights generated, which will be much easier to specify with which to interact.

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5. Smart Cities Development

Undoubtedly, IoT is, however, creating many new opportunities for data science and analytics. Additionally, the development of Smart and modern Cities has made the requirement for the data collection a compulsion, as well as data processing and dissemination.

Most probably, smart cities data would assist with medical nursing and proactive health care. Moreover, it was predicted that by 2020, 30 percent of the smart cities would introduce robotics and intelligent machines at the medical services. The technology is leveraged to offer a seamless user experience for residents.

6. Consumer device development  

The latest trends with tabs, laptops, personal devices, smartphones, and web-use to showcase that by the year 2020, more than 50 percent of mobile consumer interactions would be increased and are determined by the user’s past and real-time mobile behaviour.