AWS: driving industrial industry data driven decision making
AWS IoT SiteWise
A managed service that collects data from the plant floor, structures and labels data as well as generates real-time key performance indicators and metrics providing the industrial industry with improved data-driven decisions.
SiteWise has the capabilities to:
- Monitor operations across facilities
- Quickly compute industrial performance metrics
- Develop applications to analyse industrial equipment data
- Reduce gaps in production
“This allows customers to collect data consistently across devices, identify issues with remote monitoring more quickly, and improve multi-site processes with centralized data,” commented is a company statement.
Industrial organisations such as manufacturers, energy utilities and food processors looking to better utilise their equipment data to drive faster and more informed decisions, often face challenges when it comes to extracting data from sensors and equipment across different locations, due to being stored locally in specialised servers that also lack a common data format. As a result, retrieving the data and placing it in a format useful for cross-site analysis requires significant developer resources and expertise, which is a time-consuming and expensive process.
SiteWise can help organisations overcome these challenges via its capabilities to make data collection from the plant floor, structure and label the data, and generate real-time metrics easier.
“Once a customer’s environment is modeled and their data ingested into AWS, the service automatically computes the metrics at the interval defined by the customer (e.g. report uptime every hour). All uploaded data and computed metrics are sent to a fully managed time series database, which is uniquely designed to store and retrieve time-stamped data with low latency, making it significantly easier for customers to analyse equipment performance over time,” noted AWS. In addition, users can create custom web applications to visualise key metrics across end-user devices in almost real time as well as monitor equipment performance to help reduce waste, make faster decisions, and optimise plant performance.
“Industrial customers tell us that getting their data into the cloud and using it to understand their operational performance is the biggest opportunity they see when evaluating IoT solutions,” commented Dirk Didascalou, Vice President of IoT, AWS. “With SiteWise, industrial customers can now use the power of AWS to collect, organize, and monitor their industrial equipment data at scale. SiteWise will help industrial customers move beyond data collection and enable them to visualize and monitor all their equipment, so they can focus on their main job of optimizing their operations.”
SiteWise - in addition to using edge software - provides interfaces for collecting data via MQ Telemetry Transport (MQTT) messages or its Application Programming Interface (APIs).
“Machine data generally has no context when extracted from a machine. To make the data useful, it requires the addition of context through enrichment with other data, labelling, filtering and transforming that data before analyzing”, said Dr. Roy Sauer, Director Enterprise & Platform Architecture, Volkswagen Group. “With SiteWise we are able to easily ingest manufacturing shop floor data into the cloud, model and organize those different machine assets within our plants, and then visualize operational data from our cylinder production line in a web application."
Intelliwave SiteSense boosts APTIM material tracking
“We’ve been engaged with the APTIM team since early 2019 providing SiteSense, our mobile construction SaaS solution, for their maintenance and construction projects, allowing them to track materials and equipment, and manage inventory.
We have been working with the APTIM team to standardize material tracking processes and procedures, ultimately with the goal of reducing the amount of time spent looking for materials. Industry studies show that better management of materials can lead to a 16% increase in craft labour productivity.
Everyone knows construction is one of the oldest industries but it’s one of the least tech driven comparatively. About 95% of Engineering and Construction data captured goes unused, 13% of working hours are spent looking for data and around 30% of companies have applications that don’t integrate.
With APTIM, we’re looking at early risk detection, through predictive analysis and forecasting of material constraints, integrating with the ecosystem of software platforms and reporting on real-time data with a ‘field-first’ focus – through initiatives like the Digital Foreman. The APTIM team has seen great wins in the field, utilising bar-code technology, to check in thousands of material items quickly compared to manual methods.
There are three key areas when it comes to successful Materials Management in the software sector – culture, technology, and vendor engagement.
Given the state of world affairs, access to data needs to be off site via the cloud to support remote working conditions, providing a ‘single source of truth’ accessed by many parties; the tech sector is always growing, so companies need faster and more reliable access to this cloud data; digital supply chain initiatives engage vendors a lot earlier in the process to drive collaboration and to engage with their clients, which gives more assurance as there is more emphasis on automating data capture.
It’s been a challenging period with the pandemic, particularly for the supply chain. Look what happened in the Suez Canal – things can suddenly impact material costs and availability, and you really have to be more efficient to survive and succeed. Virtual system access can solve some issues and you need to look at data access in a wider net.
Solving problems comes down to better visibility, and proactively solving issues with vendors and enabling construction teams to execute their work. The biggest cause of delays is not being able to provide teams with what they need.
On average 2% of materials are lost or re-ordered, which only factors in the material cost, what is not captured is the duplicated effort of procurement, vendor and shipping costs, all of which have an environmental impact.
As things start to stabilise, APTIM continues to utilize SiteSense to boost efficiencies and solve productivity issues proactively. Integrating with 3D/4D modelling is just the precipice of what we can do. Access to data can help you firm up bids to win work, to make better cost estimates, and AI and ML are the next phase, providing an eco-system of tools.
A key focus for Intelliwave and APTIM is to increase the availability of data, whether it’s creating a data warehouse for visualisations or increasing integrations to provide additional value. We want to move to a more of an enterprise usage phase – up to now it’s been project based – so more people can access data in real time.