Predicting the Unseen: AI-Powered IoT & Big Data Engineering for Real-Time Safety and Sustainability

SmartDev partnered with a UK-based professional services firm to deliver IoT and Big Data engineering solutions for mission-critical safety operations. By processing millions of sensor events per minute, the team enabled real-time monitoring, anomaly detection, and predictive analytics to protect people, assets, and the environment. Through rapid MVP delivery and secure system integration, SmartDev provided scalable solutions that enhance safety, compliance, and long-term resilience.
Effectif

1 PM, 1 Architect, 2 Data Engineers, 2 Big Data Engineers, 1 ML Engineer, 1 BI Specialist, 1 DevOps Engineer, 1 Security Specialist

les industries

Professional Services

Produits et services

End-to-End IoT & Big Data Engineering Services

Échelles de temps

1 year

Pays

ROYAUME-UNI

Aperçu de l'entreprise

As a UK-based professional services firm with a strong global presence, the client specializes in delivering strategic advisory and technology-driven solutions across multiple industries. While the company had invested in IoT and data initiatives, it lacked the deep technical expertise required to design and scale a real-time, sensor-based monitoring system.

Seeking to build a platform capable of processing massive volumes of acoustic and temperature sensor data with low latency, the client required a technology partner skilled in IoT, Big Data engineering, and machine learning. SmartDev was engaged to fulfill this role—delivering a production-ready MVP in three months and establish a secure, scalable foundation for long-term safety and sustainability.

Les défis

  • Massive Data Volumes: Process millions of events per minute from thousands of distributed sensors, each producing diverse data formats, all in real time.
  • Low-Latency Requirements: Ensure high-speed, reliable analytics capable of detecting anomalies instantly in safety-critical operations.
  • Complex System Integration: Seamlessly connect IoT data pipelines with legacy OT/IT infrastructure while upholding strict security and compliance standards.
  • Tight Delivery Window: Deliver a production-ready MVP within three months and scale to full deployment in one year, without sacrificing resilience or performance.

Les solutions

  • Real-Time Monitoring & Analytics: Captured and processed continuous data streams from thousands of distributed sensors, enabling instant anomaly detection. This reduced downtime, improved safety, and supported uninterrupted production cycles.

  • Distributed Big Data Architecture: Designed a hybrid architecture combining real-time streaming with batch processing. This ensured both low-latency anomaly alerts and deeper historical insights, providing scalability and resilience for mission-critical operations.

  • Early Prevention & Predictive Capabilities: Integrated rule-based detection with machine learning models to move from reactive to preventive operations. The system could anticipate failures, mitigate risks, and protect human lives, assets, and the environment.

  • Secure & Actionable Data Delivery: Built encrypted, regulation-compliant pipelines that delivered insights directly into Tableau and Power BI. This gave stakeholders clear visualization, retrospective analytics, and data-driven decision-making in real time.

Nos piles technologiques

Fonctions principales de l'application d'IA

Managing Temperature Sensors and Acoustic Sensors

Enabled seamless integration and monitoring of thousands of distributed sensors, ensuring accurate data collection across diverse formats.

Processing and Aggregating Data in Real Time

Built pipelines to handle massive event streams per minute, delivering low-latency insights critical for anomaly detection and safety.

Successfully Delivered MVP within 3 Months

Achieved rapid development and deployment of a production-ready minimum viable product, balancing speed with system resilience and scalability.

Réalisations des clients

9,000+
Distributed Acoustic Sensors (DAS)

Enabled the processing of 1.2 million events per minute and over 31GB of binary TDMS data, ensuring accurate anomaly detection across complex production environments

10,000+
Distributed Temperature Sensors (DTS)

Captured and processed 30GB of XML data daily, providing reliable monitoring and analysis of temperature fluctuations for safety-critical operations

Real-Time Analytics & Secure Data Delivery

Delivered interactive dashboards (Tableau, Power BI), retrospective analytics, and rule-based stream processing—backed by a secure, distributed big data stack for low-latency, compliant decision-making.

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