Vixtera received the US patent for the fault detection in a system of connected devices
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We are used to the fact that in our life the Internet is present on an ongoing basis. It is the link between a huge amount of information and our brain (people). There is also another parallel branch – the industrial Internet. If in the first case the connection occurs between a person and a machine, then in the case of IIoT this is only a machinery link. Thanks to the new technology, it is not only about time savings but also resources costs.
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Various enterprises, factories, stations – all of them use gauges and sensors to transmit and exchange a large amount of information. An ideal repository for this voluminous data is the Industrial Cloud. The existence of such a repository provides companies with more accessible and strategic management of data and common processes.
The cloud architecture is an invariable component of the computing cloud and consists of 4 layers:
Actually, it is inappropriate to compare IIoT with Cloud Computing because in the first case it is just a conception of building infrastructures that connects all non-domestic devices to the Internet: equipment in factories, different sensors, gauges. Cloud is just a repository for various types of data ranging from photos to application data.
These two elements cannot replace each other, but they both perfectly interact.
IIoT is a concept or integrated system that provides automated management of enterprises and non-domestic devices and simplifies industrial life. With the introduction of IIoT occurs almost complete exclusion of the human factor. Alternatively, all production processes become robotic and automated.
To ensure control of the plants, there must be a connection between both the control and the controlled element. It is important to say that these elements do not have to be in close proximity to interact. But for some industrial applications, it is important to perform the analysis locally in order to track statistics on the spot.
Thanks to the interaction of physical processes and control programs, it became possible to collect information and data from all systems. This, in turn, helps to find out the state of an element, to check, make the necessary forecast, adjust, adapt and repair.
The collection and transmission of data between devices are carried out using various sensors, recorders, and controllers. As mentioned earlier, this system does not require human intervention. The remote server collects all the information from various places into one. Furthermore, Artificial Intelligence comes into operation, which analyzes, processes data and makes the necessary decisions to improve or to correct errors.
Artificial Intelligence is set to replace humans, but this only can be good. In manufacturing plants, AI can come in handy at absolutely all levels. Starting with design and ending with promotion. This system will be an excellent replacement for manual labor, which is not only expensive but also time-consuming and error prone. People can make mistakes, but if it is possible to introduce AI into production, then the risk of failure will be extremely small.
Since the AI system is a smart one, it is interpreted data from the outside, draws lessons as a real human, and only then analyzes the data and being guided by it applies in practice to achieve goals.
Although the implementation of AI and IIoT will require some costs, it will greatly improve and facilitate the industrial life of enterprises in the future.
The interaction of IIoT and AI is the perfect symbiosis to increase the speed, productivity and accuracy of production and business decisions.
IIoT provides the collection, movement and storage of information, and AI technology processes this data.
IIoT is not only our future but also a confident present. With the introduction of IIoT in production, the goal is to create a digital copy of the proposed products. That is, all this information with a description of products, statistics, and other data is always available. This greatly simplifies the life of industrial enterprises.
It is a well-known fact that the implementation of IIoT in real life takes a long time. It doesn’t happen due to the reluctance to increase production efficiency, but due to some other parameters. Since IIoT is a large-scale implementation, the reconstruction of the infrastructure will be the same. Most often, renovation of production is also required for implementation. In order for everything to be installed correctly, use a phased approach. All solutions should consider scalability as well as compatibility with older sites.
The root cause detection algorithm, patented and developed by Vixtera, is designed to analyze the root causes of a breakdown. In order for the neural networks to self-learn, and later find and fix errors, it was taken a system failure as the basis.
Mostly this developed method was created to search for failures in real-time. This algorithm will eliminate all errors that the human factor can make when modeling AI, and will also be an ideal source of failure forecasts.