INTEGRATION OF NODE-RED AND OPENAI API FOR INTELLIGENT ANALYTICS

Abstract

The purpose of this work is determined by the need to create an affordable and functional intelligent analytical system for automating the processes of data collection, processing and analysis. The proposed system is based on the integration of the Node-RED platform, the OpenAI API, and the Raspberry Pi minicomputer. This approach allows to effectively solve the tasks of monitoring, forecasting and optimisation in various industries, providing flexibility and affordability.

The paper analyses the advantages and limitations of using low-code platforms to create data processing flows, which greatly simplifies the integration of automation systems. Node-RED provides the ability to quickly build workflows, while the OpenAI API adds tools for deep data analysis using artificial intelligence models. The Raspberry Pi is a cost-effective hardware base suitable for small and medium-sized businesses.

The experiments allowed us to identify the key factors of system performance and stability. The test results showed that the system is capable of processing large amounts of data in real time, detecting anomalies and providing operators with prompt information about possible deviations. Particular attention was paid to the cost-effectiveness analysis, which confirmed a significant advantage over traditional solutions that require high implementation costs.

Taking into account the possibility of widespread use of the developed system, the paper also offers recommendations for its scaling, integration with cloud services and application to solve specific problems in various industries. This approach provides enterprises with the ability to quickly adapt to changes in technological conditions, reducing dependence on expensive and complex solutions.

The development of this system is an important step towards making modern technologies accessible to enterprises of all sizes. The proposed solution is aimed at improving the efficiency of production processes and creating cost-effective automation tools that meet modern market requirements.