Vixtera received the US patent for the fault detection in a system of connected devices
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One of the most exciting and voluminous areas of the Internet of things is IIoT. Unlike IoT, the industrial Internet is the main driving force behind deeper integration with artificial intelligence and large amounts of data. Since this is a more serious area, it must meet many requirements, namely, be very reliable, have high security and wide connectivity.
But even though the industrial Internet is the next level of the technological revolution, it also has several difficulties that enterprises face during the implementation.
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The majority of production facilities are still running old equipment. It can hardly monitor the work process in detail, and it is not always possible to determine in which part an accident or any other problem with equipment and devices occurred, not to mention forecasting at such enterprises.
For the production to work qualitatively and to determine the state of devices, it is necessary to determine which elements require observation and also to understand what means are needed.
The advantages of using modern predictive algorithms will provide effective control and management of devices, obtaining reliable results, as well as reduce unplanned production downtime and save money on maintenance.
To make production more comfortable and reduce waste, Vixtera has developed a root cause analysis algorithm. Since human participation can create problems in the processes of reconciling data with a possible problem and also AI modeling, make the analysis inaccurate and conjectural, the Vixtera algorithm excludes human participation. This solution takes the cause of the problem, identifies it, and uses it as the source for NN training. This algorithm will detect failures and their roots in real-time, and will also serve as an accurate and reliable source for predicting various failures in production. All this will significantly facilitate the work and reduce maintenance costs.
The IIoT implementation is not an easy process; there can arise tasks that entail the use of signals from many devices in real-time. The processing functions of signals and incoming information are activated by machines that communicate with each other as the task progresses. It is important to say that inter-machine communication is much more efficient than human intervention. Such interaction provides automation of the joint work of machines and intellectual optimization of production processes. Modern approaches to computer training will support predictive and prescriptive analytics solutions, linking previously collected data from intelligent sensors, appliances, and other production assets. This approach facilitates the creation of tools for monitoring the condition and diagnosing failures and is aimed at increasing efficiency and reducing the downtime of machines and equipment, as well as expensive production and technological lines in general.
With data curation algorithms, you can constantly improve product development and production efficiency.
Basic information, such as temperature and power consumption, can now be easily retrieved from data acquisition sensors. All this helps to incorporate critical elements of the IIoT ecosystem. It is important to consider that a simple collection of information will not lead to the achievement of your goals; you also need to understand how you can use this information to improve production processes and ensure continuous operation. Knowing how and where to apply the obtained data, we can ensure efficient processes.
It is also important to consider that data collection from industrial devices is, for the most part, irrelevant and inconsistent. This creates some problems for analysis, which negatively affects the work process.
Vixtera has developed a ViEdge solution that uses a new correlation and information analysis algorithm to filter the received data while classifying its association with sensors and devices.
Implementation of this algorithm significantly improves the operation of the entire production and eliminates duplication of metadata, reduces the size of the data collected, integrates relevant events and provides meaningful data to applications, and optimizes ecosystem performance.
Every entrepreneur wants the production to work properly and efficiently, but not every IoT implementation is successful. Connecting industrial devices will increase the efficiency of production processes and unlock the potential of industrial intelligence and will help the successful implementation of IIoT.
Communications protocols are used to connect equipment. It’s important to keep in mind that ongoing maintenance is critical for IIoT operation no matter what the connected asset is. But, popular communication protocols do not guarantee a reliable and efficient way to connect, as well as manage and maintain the device. Most likely, you will need laborious manual uplifting of updates or connections.
Vixtera has a solution to any problem. The patented ubiquitous connectivity method defines a standard protocol for connecting and collecting data, as well as managing it, and preventing heavy processes for creating specialized software.