A SYSTEM FOR COLLECTING STATISTICAL DATA ABOUT DEFECTS IN METAL STRUCTURES BASED ON TELEGRAM BOT

The role of chatbots in automation processes, in particular, for collecting data on defects in production systems is analyzed. The technological aspects of creating a chatbot for product quality monitoring, its advantages and functionalities are considered. It is shown that chatbots simplify data entry, reduce time spent on routine operations, and minimize user errors. The bot's functionality allows deleting records, which allows users to manage their data and receive reports on the number of defects, their types, and the dynamics of changes over time. Information about defects is stored in an easy-to-analyze form. This allows for quick access to data and detailed analysis of defect information, which in turn allows for informed decisions to improve production processes. The use of Telegram, Node.js, and MongoDB platforms in the development process is considered. The author emphasizes the ease of integration of chatbots with enterprise management systems. This bot has the ability to integrate with other systems. This means that the data collected through the bot can be automatically transferred to the quality management system, which reduces the likelihood of errors associated with manual data entry. As a result, the company can respond to detected defects faster and take measures to eliminate them. The effectiveness of using a chatbot to automate defect analysis, reduce the workload of employees, and generate statistical reports is confirmed. The expediency of using chatbots to increase production productivity and customer satisfaction is substantiated. Special statistical reports generated by the bot allow the management to receive information about the types of defects, their frequency, and other important parameters It is confirmed that the interactive interface allows users to quickly interact with the system, and automated data processing contributes to effective management decisions. The results demonstrate the potential of chatbots to improve quality management processes and optimize resources in today's competitive environment.

Authors

Publication Details

Journal
Bulletin of the National Technical University «KhPI» Series New solutions in modern technologies
Published
2025-04-22
DOI
https://doi.org/10.20998/2413-4295.2025.01.05
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
0.00
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article

A SYSTEM FOR COLLECTING STATISTICAL DATA ABOUT DEFECTS IN METAL STRUCTURES BASED ON TELEGRAM BOT

Lyubov Zaitseva, Danylo Makarov
Bulletin of the National Technical University «KhPI» Series New solutions in modern technologies
Image Processing and 3D Reconstruction
article

A SYSTEM FOR COLLECTING STATISTICAL DATA ABOUT DEFECTS IN METAL STRUCTURES BASED ON TELEGRAM BOT

Lyubov Zaitseva, Danylo Makarov
article en

Abstract

The role of chatbots in automation processes, in particular, for collecting data on defects in production systems is analyzed. The technological aspects of creating a chatbot for product quality monitoring, its advantages and functionalities are considered. It is shown that chatbots simplify data entry, reduce time spent on routine operations, and minimize user errors. The bot's functionality allows deleting records, which allows users to manage their data and receive reports on the number of defects, their types, and the dynamics of changes over time. Information about defects is stored in an easy-to-analyze form. This allows for quick access to data and detailed analysis of defect information, which in turn allows for informed decisions to improve production processes. The use of Telegram, Node.js, and MongoDB platforms in the development process is considered. The author emphasizes the ease of integration of chatbots with enterprise management systems. This bot has the ability to integrate with other systems. This means that the data collected through the bot can be automatically transferred to the quality management system, which reduces the likelihood of errors associated with manual data entry. As a result, the company can respond to detected defects faster and take measures to eliminate them. The effectiveness of using a chatbot to automate defect analysis, reduce the workload of employees, and generate statistical reports is confirmed. The expediency of using chatbots to increase production productivity and customer satisfaction is substantiated. Special statistical reports generated by the bot allow the management to receive information about the types of defects, their frequency, and other important parameters It is confirmed that the interactive interface allows users to quickly interact with the system, and automated data processing contributes to effective management decisions. The results demonstrate the potential of chatbots to improve quality management processes and optimize resources in today's competitive environment.

Bulletin of the National Technical University «KhPI» Series New solutions in modern technologies(1(23))
Openalex Percentile: Top 91%
Image Processing and 3D Reconstruction
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