AIndustry is a tool that not only allows you to monitor, visualize and analyze data from devices and production processes, but also allows you to optimize the processes from which the data originates.It is a response to problems related to the expansion of the Industrial Internet of Things (Industry IoT).
Regardless of what your factory or production line does, we can ensure that the data that is transferred in your company will gain real value for you. Thanks to AIndustry, you will be able to analyze data on many levels, as well as visualize it in a way that makes this analysis easier. AIndustry will allow you to detect anomalies in the operation of devices when everything works correctly at first glance. Thanks to this, it will be possible to prevent failures while maintaining reasonable maintenance costs.
AIndustry will make it easy to plan orders for resources used in production as never before, and production will be efficient and meet all the needs of your customers. Your warehouses will not be overflowed and will contain everything you need, exactly when you need it.
The answer to the question How to organize it? will be swift and supported by reliable analyzes. The quality and efficiency of production and processes will always be maintained at the required level, and any error will be captured immediately.
AIndustry uses the latest achievements in the field of Computer Science, Artificial Intelligence, Data Science, Management and Automation. Machines on your production line are most likely equipped with sensors collecting data that is then gathered in a variety of ways. AIndustry is powered by data that you collect. In the simplest scenario, you can observe the status of devices on the production line, including visualization of parameters and coefficients.
The analysis of a large amount of data in the shortest possible time is possible due to distributed processing. In more advanced scenarios, for example in solving optimization problems, we use methods derived from the classical theory of task scheduling, combinatorial optimization or integer programming. Artificial intelligence, in particular machine learning, form the heart of the module detecting anomalies and predicting repairs.