Automation of Visualization of Indicators of Product Quality Assessment at an Industrial Enterprise

The article considers the problem of developing a solution for automating the process of visualizing indicators of the quality assessment of manufactured products at an industrial enterprise. The existing methods and tools for data visualization are considered, the architecture and main components of the proposed automation system are presented, and the advantages of the proposed solution compared to traditional approaches are discussed. A description of the process of creating a computer program designed to automate the processing of big data and their visualization is proposed. The structured data entering the program are metal quality indicators, which are obtained on the basis of processing reporting documentation from the enterprise information system. The features of software libraries and methods of working with them are described, and an algorithm for the software module is developed. Data visualization in the form of graphs is based on information about faulty products, presented as multidimensional data.