The Benefits Of Internet of Things In Industrial Automation

industrial automation

Nowadays, several advanced technologies have emerged in the industrial sector and are comprised of diverse digital innovations. These innovations are capable of fueling an industry from the initial development cycle to the final deployment process. Technologies such as robotic process automation (RPA), advanced digital analytics, automation, Internet of Things (IoT), machine learning (ML), artificial intelligence (AI), and cloud platforms are some of the high-level innovations. These innovations individually and combined have the potential to enhance the industrial productivity of any domain as well as a companies’ legacy operations. For incumbent businesses, these advanced technologies promote the conception of all-new, digitally-enabled business models and are capable of significantly increasing operational efficiencies and customer satisfaction. Industrial sectors, product manufacturers, enterprises, etc that want to digitally transform and modernize their existing operations must leverage these technologies.

Here’s How IoT enhanced Industries

Beginning from industrial automation to predictive maintenance, IoT has enabled a sophisticated method for intelligent logistics management. With the consistent data from IoT devices, industries are capable of enhancing product quality and streamlining inventory management. IoT is one of the critical and most widely accepted technologies that revolutionized Industry 4.0. It made industrial automation possible with the implementation of coordinated systems like computers or mechanical devices and information expertise systems for the management of diverse smart devices.

The Benefits of IoT in Industrial Automation

Predictive Maintenance

Predictive Maintenance is an approach that ensures cost savings for routine or time-based preventive maintenance due to smart metered connections. Procedures are aimed to aid in concluding the state of in-service equipment to forecast in what period maintenance ought to be executed. With the innovations in big data analytics and IoT services, predictive maintenance is continuing to grow.  IoT provides the best methodology for analyzing data and connecting all users together on a single network. The data is stored and analyzed by AI and ML, which predicts not only customer behavior but also system failures or errors.

Smart Logistics Management

Smart Logistics Management is made up of smart products from advanced or cognitive AI services. Having the specific product at the accurate time at the right place of need is essential for any industry as it ensures business continuity. IoT devices can ensure this business continuity as they can precisely track and analyze any type of logistics seamlessly. Their operations are transparent and can be easily monitored. Therefore, industries can manage the supply chain efficiently and monitor whether the products are efficiently transferred or not.

Enhanced product quality

Enhanced product quality is critical for both customer satisfaction and business growth. Factors to consider for enhanced product quality in design, production, inspection, and traceability. Adjustments are done in product design to close gaps identified and quality inspection while in production with the latest technologies. Unidentified sources of errors that impede inspection are seamlessly identified with IoT tracking and improvement in traceability is done to enhance quality as well as deployment speed. With the implementation of IoT services, industries can leverage intelligent monitoring systems to monitor temperature/humidity in the manufacturing site. Also, IoT devices such as RFID tags, sensors, object detection framework, character recognition, and wireless communication technology can be utilized to monitor product quality.

inventory management

IoT devices integrated with intelligent AI algorithms can improve inventory management by connecting all touchpoints of inventory management flawlessly, that includes everything from raw materials to finished goods. Such management provided visible effect using frameworks and inter-connected intelligent technology systems in real-time. There are real-time inventory updates, alerts of issues, and updates of the latest process the inventory is in, and also materials utilized to get output. IoT-based radiofrequency identification tags, barcodes, and intelligent sensors are used to identify, trace and track all required objections and devices. Since hundreds of physical objects are implemented with bar codes, RFID tags, and sensors, the supply chain, and logistics management companies can administer real-time monitoring of physical objects. They can track any number of products from their origin to a destination across the complete supply chain that includes production, transportation, distribution, and so on.

Facility management

Facility management is the interconnectivity of nearly all the systems in communication to each other and with personnel via interface whilst keeping hardware connected. These physical systems are progressively able to control and connect themselves automatically within an information network. Their advanced cognitive capabilities will be far more than automating tedious or repetitive tasks in an industrial sector. With AI integration, these physical systems will be capable of taking actions based on previous data. They can be self-aware and identify the best-case scenario in which the task can be completed efficiently. IoT sensors can also be used to monitor alarm vibrations, temperature changes, and other dynamics that can be future reasons for less operational conditions.

Real-time data insights

Industries will be provided real-time data that can help them make significant updates for the future. Such insights are beneficial for large-scale industries as they will be able to save money and employee time with actionable insights.  A large data center placed someplace in the world is a cloud and accessed on a need basis. Whereas real data is communicated same time as the operations are happening for these manufacturing industries where data is crucial for success. Integration with IIoT facilitates industries to collect relevant data from connected assets and make informed, future-proof, and better decisions in real-time.

Conclusion

Automation of the industrial and manufacturing industry generates a new evolutionary breakthrough with the implementation of advanced IoT services. To gain a competitive dominance in the business, businesses should take the required leadership to adapt to digital transformation.

Author Bio: Ricky Philip is an industry expert and a professional writer working at ThinkPalm Technologies, a software services company focusing on technologies like BigData, Mobile App Development, IoT, and AI services. He is also a contributor to several prominent online publishing platforms such as Medium.com and HubSpot.

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