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How to plan IIoT solutions to achieve long-term scalability, many novices are not very clear about this, in order to help you solve this problem, the following editor will explain in detail for you, people with this need can come to learn, I hope you can gain something.

The adoption of IIoT products is critical to maintaining a competitive advantage in today's digital environment. However, failure to plan for long-term scalability can pose obstacles to success. Although many companies have taken the first step of adding machine and sensor connectivity to their operations for data visualization purposes, we are really beginning to dabble on the surface of industrial Internet of things (IIoT) capabilities.

The real value of IIoT lies in collecting and applying data in new ways. Companies that quickly get back on track and become experts have the opportunity to have their own market segments. However, the long-term success and scalability of IIoT is not just a good idea. Brands must transform their organizational models, not only to develop IIoT products, but also to provide internal support to take full advantage of their capabilities, a challenge that often requires the help of external partners.

Planning for the future of IIoT does not seem clear, which can be daunting. But companies that plan early and take small steps will find themselves on a solid path to success.

The Future possibility of the Internet of things

Although it may be hard for companies to imagine that, given the current state of the industry, future IIoT solutions may look like the consumer-oriented Internet of things (Internet of Things,IoT), with humans acting as passive participants when devices interact around them. For example, imagine a transportation facility equipped with every step from procurement to packaging, from labeling to transportation, and IIoT-enabled sensors. Each equipment in the process provides its own workshop diagnostic information, including hourly completed orders, necessary maintenance, and underutilized resources.

This is a very long-term prospect; understanding how to get data effectively is a fairly new topic in IIoT. However, industrial companies are now focusing on the potential of IIoT, and the industry will make significant progress towards this future in the next five years.

Combine powerful data science and / or machine learning to gather insights from the data generated by IIoT sensors about your business processes, and the true potential of IIoT will be unleashed. This is a successful marriage in the automotive industry, where robots perform tasks much faster than any human in a dangerous environment. Other industries have not yet embraced the widespread use of robots, which could give pioneers a competitive advantage.

Long-term scalability planning: people-oriented

Before investing in IIoT technology, companies should lay a solid personnel base to support this work, whether small-scale or experimental. Without the only right way to summon IIoT support staff, your company may benefit from a mix of internal and external employees to handle the IIoT transition. The most important action is to put the right people with the right expertise in the same room to start planning and solving problems.

Start with the deployment of new technologies

Because the IIoT field is still very young, the company has exciting experimental opportunities. But, as with any new investment, I suggest starting with sensors, software and other trial technologies. If your idea fails, or if you need to change it halfway, you will invest less money and be easier to implement.

Before proceeding with the IIoT project, the company's leadership and technical experts must answer another question: what form will your investment take? Options include:

1) New market solutions

2) off-the-shelf solutions that the company will change and customize

3) Internal prototypes that you can make full use of with your customers

According to your budget, timing and expertise, each method has its own advantages and disadvantages. Trusted external partners can help you with this process.

If your company is equipped with old machines to interact with IIoT technology, you also need to budget additional connectivity, including Ethernet and possible hardware, to compensate for the aging of the device. Don't underestimate the ability of your old machine to adapt to IIoT. I know a company that connects 1927 machines to its IoT platform. However, at some point in the future, the existing infrastructure will not be able to keep up with modern needs.

Update your technology infrastructure

The server is at the heart of any IIoT project and must be considered first when building a digital support system. When network, Bluetooth and WiFi requirements vary from situation to situation, every company and every IIoT project needs a secure, high-capacity server. Ask yourself the following questions:

1) where is our data captured and how is it converted? Data must be stored in a secure and accessible manner, and must also be formatted in a standardized manner to reduce data silos.

2) what is the expected life of the storage device? In case of failure, what is our backup plan? The loss of IIoT data can be devastating.

It may seem counterintuitive, but keep in mind that your company and IIoT solutions don't always have to support the latest technology. According to competitive analysis, it is more important to have a reliable reputation and a strong market position. You can always address new features in the next iteration, but this must be based on your long-term goals.

Short-term plan

Your business plan is another area that requires attention. It's easy for leaders and customers to get excited about IIoT's long-term prospects, but these organizations may also have unrealistic expectations for the future. Instead of setting space-age standards for revolutionary full-service IIoT solutions, focus on business-specific issues that can make a very real difference in day-to-day operations.

It takes time to change. Many companies hope to achieve a return on investment within one to three years. In fact, there may be five to 10 years to go. Be realistic about the timetable and set reasonable expectations. Too much commitment can lead to stress, overspending on imperfect products, disappointing customers or, at worst, causing your IIoT investment to fail.

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