Digitize Your Factory and Get the Most from AWS Services
deviceWISE® is an industrial Internet of Things (IIoT) platform that enables customers to digitize industrial processes without writing code. This platform merges the shop floor with AWS Cloud to improve production efficiency and productivity, extracting the best of edge and cloud.
deviceWISE is used across many verticals, including:
Food and beverage
Oil and gas
The solution is currently used by seven of the 10 largest car makers in the world.
deviceWISE Solution Pillars
deviceWISE contains hundreds of drivers. Choose your driver, appoint it to the IP address and auto-enumerate all tag trees with real-time data reading and writing.
OPC UA and OPC DA
Transform your data doing parsing, math, algorithms and more. Create action triggers by building a logic workflow, setting alerts and calculating KPIs such as OEE. Build edge logic for machine monitoring, preventive maintenance, throughput analysis and more.
deviceWISE can integrate bidirectionally to many IT systems and local databases so your machines and systems can all speak the same language. You can transport data to and retrieve data from relational or non-relational databases, such as:
Integrate with ERP and MES systems, including:
Machine and Process Data Visualization
deviceWISE provides full IIoT capabilities and comes with an available SCADA/HMI system called deviceWISE VIEW. deviceWISE VIEW enables customers to visualize data and create interfaces in a drag-and-drop dashboard builder. It makes building a visualization of factory or machine KPIs as easy as creating a PowerPoint presentation.
Integrate to AWS
Fully integrate all machine, IT and process data in all AWS solutions, such as:
deviceWISE and AWS are used by one of the world’s largest tire manufacturers. With 19 manufacturing sites in 12 countries, the customer chose the deviceWISE and AWS combination to digitize its manufacturing plants.
In each of its multiple sites, the customer has various types of machines that speak different protocols and has more than one MES system. The customer’s objective was to digitize the manufacturing process and collect real-time machine data for factory performance visualization. The customer also wanted to add machine learning and data analytics to improve overall equipment effectiveness (OEE).
The customer selected deviceWISE to create standardization between the different machines and different IT systems. deviceWISE provides protocol translation so factories that run on Siemens, Rockwell or Mitsubishi controllers can be standardized with a unique protocol translation tool.
The customer also needed to collect data from external sensors, such as temperature sensors in the curing process. Telit deviceWISE has built-in interfaces for open protocols such as Modbus that make machine instrumentation an effortless process.
In addition to machine data and external instrumentation, the tire manufacturing process requires extensive quality control with full traceability. The full process data was collected and managed inside the deviceWISE platform by integrating deviceWISE with barcode readers. For the next step of the process, the customer added Telit deviceWISE VIEW dashboards for operators and managers. Since deviceWISE interconnected to the customer’s MES, they were able to create dashboards for quality control (e.g., comparing real process data to hypothetical optimum machine data) with drag-and-drop widgets.
The customer’s extensive research showed that AWS would provide superior cloud functionalities, such as:
Storage and data lake
The customer decided to standardize on AWS for cloud services and use Telit deviceWISE to provide an interface between machine data, MES and ERP.
About the Customer
The customer is one of the world’s largest suppliers of injection molding machines. With production facilities in North America, South America, Europe and Asia, the customer delivers state-of-the-art machines to big-name players in:
Food and beverage
Consumer packed goods (CPG)
The Customer’s Needs
PROBLEM: Machine Data and Performance Monitoring
The customer’s top-of-the-line molding machines run 24/7. They are extremely well-engineered and last for decades. However, when the customer sells a machine, they lose control over that machine’s production performance data, including OEE, machine downtime and manufacturing scrap.
SOLUTION: Machine Data and Performance Monitoring
The customer recognized that their machines were in the real world producing a wealth of data that could be leveraged to improve: their next product design. manufacturing processes, machine performance and longevity, and maintenance and support processes.
PROBLEM: Machine Maintenance and Repair Services
Our customer’s industrial machines are complex capital assets built to last for decades. Utilized by leading manufacturers at plants worldwide, the machines are critical to the operational success of many manufacturers’ businesses. As a result, our customer must provide support for their machines. Unexpected problems often require an expert being flown out to a customer site to perform machine maintenance and resolve issues.
SOLUTION: Machine Maintenance and Repair Services
Our customer recognized they could provide a new level of asset insight and machine support by connecting the machines to IIoT. They could expand their business offering and provide more value to their customers simultaneously.
The Connected Machine Enterprise
With their commitment to continuous product, process and service improvement, our OEM customer chose to invest in IIoT technologies. Their connected machine initiative aimed to:
Connect existing machines to IIoT for capturing and collecting machine performance data while they are being utilized in the real world
Aggregate machine performance and utilization data into a centralized, company-operated, cloud-based location for business intelligence and performance analytics access
Enable automated machine alarms through a predefined production variable set and performance thresholds for real-time monitoring, predictive maintenance and minimizing downtime
Offer customers a new premium level of remote machine support to allow specialists to remotely update, diagnose and troubleshoot machines before or instead of flying out an expert
Provide customers with off-site centralized machine data backups to ensure they never lose critical production or performance data
Drive continuous product and service improvement leveraging data from full visibility into their machines’ health, performance and utilization worldwide