In a previous post, we described a CSTR and a PID controller. This post will cover the code and architecture of the digital twin from this project repo. The project leverages Kafka for data streaming, Faust for data processing, InfluxDB for storing the time series data, and Telegraf for writing data from the topic to InfluxDB. We’ll also cover the advantages and disadvantages of this stack.

In the fast-evolving chemical industry, maintaining precise control over Chemical reactors like a continuous stirred-tank reactor (CSTRs) is paramount to ensuring optimal performance and product quality. This blog post delves into integrating advanced data tools and techniques to achieve this control. We’ll explore how to leverage InfluxDB, Kafka, and Faust streaming, along with Telegraf, to effectively model and manage a CSTR and its PID controller (Proportional-Integral-Derivative Controller).

Technology focused on building a more sustainable future continues to advance at incredible speed. The Industrial Internet of Things (IIoT) and real-time analytics are opening up new horizons for renewable energy. This post looks at the intersections of innovation and ecology, where small chips and sensors play major roles in the renewable energy sector.

In the world of IoT, ensuring the reliability, efficiency, and security of connected devices is critical. As IoT devices generate massive amounts of data, detecting anomalies becomes increasingly important. Anomaly detection helps identify potential issues before they escalate, providing businesses with valuable insights and the ability to improve operational efficiency if used correctly. In this article, you will learn about some potential use cases for anomaly detection across different industries.

InfluxDB Clustered is an on-prem offering of InfluxDB 3.0, allowing you to deploy the newest version of InfluxDB on your own hardware and manage it with your team. With InfluxDB Clustered, you get high availability and performance out of the box and the ability to fine-tune InfluxDB to fit the performance requirements of your specific use case. InfluxDB Clustered is deployed and managed using Kubernetes.

Integrating data visualization tools with databases like InfluxDB is crucial for developers looking to enhance analytical capabilities and derive actionable insights from complex datasets. Grafana, Tableau, and Apache Superset—all of which you can use with InfluxDB—are popular visualization tools with different features and benefits.

InfluxDB is all about your data: we bridge the gap between an empty database bucket and business value and provide experts to help you derive value from your data. InfluxDB expert support teams come with contracted InfluxDB 3.0 serverless products (Serverless, Cloud Dedicated) and our Clustered on-prem product. Though no customer is left to figure everything out on their own, your product selection will determine the level of custom support you receive.