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Industrial IoT solutions
Scalable IoT & Carbon Capture Technology for CCUS Solutions
A cloud-based industrial IoT solution designed for real-time data processing and communication using MQTT for efficient IoT data transfer, Docker for deployment flexibility, and Solara with FastAPI for seamless IoT cloud integration. Built for reliability and scalability on Google Cloud Platform (GCP).
IoT Data Transfer
Cloud-Based Industrial IoT
Scalable Carbon Capture Solutions
iot platform 2
customer 2

Client*

A British biotechnology startup specializing in industrial-scale carbon capture solutions. The company leverages bacteria to capture CO2 and transform biomass into valuable compounds, making carbon capture utilization cost-effective and sustainable.
*Due to NDA restrictions, specific client details and case study insights cannot be disclosed.

Project in numbers

duration
2023 – 2024 (8 months)
team
5

The team involved in the project

industry
Biotechnology
solution
IoT Data Management (DMS), API, Cloud Integration
technologies
Python, MQTT, Docker, Solara, FastAPI, Google Cloud Platform (GCP), PostgreSQL, SQL and SQLAlchemy
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2 x Developers from the client side

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3 x Python backend engineers

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Challenge

challenge4
The client faced challenges in implementing an industrial IoT solution capable of managing reliable, real-time data transfer while ensuring scalable cloud deployment. With limited experience in deploying production-level applications, they required a secure, lightweight communication protocol and an efficient cloud infrastructure to support industrial IoT and carbon capture utilization.

Related objectives

Feature rich functionality

Manage data communication between devices

iot

Secure data transfer

efficientmanagement

Ongoing support

Solution & functionality

Timspark provided expertise in IoT data communication and real-time command execution, implementing an MQTT broker for reliable, lightweight data transfer. Our solution included Docker-based infrastructure, enabling cloud-based industrial IoT scalability on GCP.

Our developers at Timspark leveraged Solara and FastAPI to streamline efficient application development for the client, while integrating Looker to enhance data visualization for monitoring industrial IoT and carbon capture utilization. Through continuous support, we ensured long-term scalability and optimized production processes for the client’s needs.

userssecured

Looker

Template dashboards and reporting using Looker and GCP.

efficientmanagement

Dashboard

The dashboard is dockerized and optimized for performance, providing a faster and more reliable solution for real-time data processing.

backendsolutions

Backend

The backend involves the optimization of IoT infrastructure, dockerization of cloud and local infrastructure, implementation of a caching server, and deployment of the pipeline to GCP.

Results and business value

The implemented IoT communication system drastically improved the client’s ability to handle real-time data processing, enabling seamless IoT data transfer between industrial devices. By leveraging MQTT, Docker, and FastAPI, the solution enhanced scalability, security, and cloud readiness, positioning the company for long-term growth in carbon capture utilization and storage (CCUS).

The solution enables secure, real-time IoT communication through MQTT, ensures cloud-based scalability using Docker and GCP, and delivers efficient management of industrial IoT data.

The implementation enhanced analytics and monitoring capabilities via Looker dashboards, while ensuring long-term reliability through continuous support and ongoing feature enhancements.

Related cases

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FAQ

Do you still have questions about our Internet of Things (IoT) services? Here are the most frequent questions and answers.
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What are IoT services, and how can they benefit my business?
IoT services encompass a range of offerings, including consulting, development, integration, and analytics, aimed at leveraging the Internet of Things technology to enhance business operations. By implementing IoT solutions, businesses can achieve real-time monitoring, improved operational efficiency, predictive maintenance, and data-driven decision-making, leading to cost savings and new revenue opportunities.
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What does the IoT application development process involve?
IoT application development involves several key stages:

  • Requirements engineering: Understanding business needs and defining the functional and non-functional requirements of the IoT solution.
  • Architecture design: Planning the system architecture, including hardware, software, and communication protocols.
  • Platform and user application development: Creating the IoT platform for device management and developing user applications for data interaction.
  • Testing: Conducting thorough testing to ensure system reliability, performance, and security.
  • Support and maintenance: Providing ongoing support to maintain system performance and implement updates as needed.

This comprehensive approach ensures the delivery of robust IoT solutions tailored to specific business objectives.

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How do IoT consulting services assist in successful IoT adoption?
IoT consulting services help businesses assess the feasibility of IoT initiatives, identify potential challenges and opportunities, and estimate costs. Consultants work to create high-ROI IoT solutions by planning coherent architectures of network-connected devices, data processing layers, and applications. This strategic guidance ensures that IoT implementations align with business goals and deliver tangible value.
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What types of IoT solutions can be developed for different industries?
IoT solutions can be tailored to various industries, including:

  • Healthcare: Remote patient monitoring, asset tracking, and staff management.
  • Manufacturing: Smart factory solutions, equipment monitoring, and predictive maintenance.
  • Retail: Inventory management, smart shelving, and customer behavior analysis.
  • Energy: Smart grid management, energy consumption monitoring, and predictive analytics.

These solutions aim to optimize operations, enhance efficiency, and provide actionable insights specific to each industry's needs.

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What are the key considerations for ensuring security in IoT applications?
Security is paramount in IoT applications due to the vast amount of data exchanged between devices and systems. Key considerations include:

  • Data Encryption: Ensuring that data transmitted between devices and the cloud is encrypted to prevent unauthorized access.
  • Authentication and authorization: Implementing robust methods to verify the identity of devices and users, ensuring that only authorized entities can access the system.
  • Regular updates and patch management: Keeping all devices and applications updated to protect against known vulnerabilities.
  • Security testing: Conducting regular security assessments to identify and mitigate potential threats.

By addressing these considerations, businesses can safeguard their IoT ecosystems against potential security risks.

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