Industrial & Manufacturing

Real-time predictive maintenance for industrial production lines

A React and AWS application that watches bottle-manufacturing production lines in real time and predicts maintenance needs before a line goes down.

Client

SPX Flow

Timeframe

Jan 2023 – Oct 2023

Location

London, UK

Sector

Industrial & Manufacturing

All case studies

The challenge

SPX Flow needed to monitor and predict sensor data in real time across production lines responsible for bottle manufacturing, to keep production optimized and get ahead of unplanned downtime.

Stack
React
AWS Lambda
DynamoDB
GraphQL
Apollo Server
Amazon SageMaker
Highcharts

The approach

Built a React-based application on AWS tracking live sensor data from bottle production lines

Used AWS Lambda functions, DynamoDB, GraphQL with Apollo Server, and Highcharts for real-time monitoring and visualization

Applied Amazon SageMaker for predictive maintenance models, streamlining part pre-ordering

The impact

Production teams see equipment health in real time instead of reacting to breakdowns after the fact

Predictive models informed part pre-ordering, shortening the time between a predicted failure and a replacement part on hand

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