FACTORY
manufacturing intelligence platform
that reflects customer needs
Hyundai AutoEver’s Smart Factory is a cloud-based integrated solution that integrates data from all areas of manufacturing to strengthen value chain connectivity and enhance innovation.
Secure the competitiveness of the future manufacturing industry through the Smart Factory, a manufacturing intelligence platform that flexibly produces customised products that reflect customer needs and supports the advancement of factory facilities.
Smart Factory solutions converged with manufacturing
processes, customer values, and future technologies.
With on-site experience, 300 professional staff from the
Smart Factory department are in charge of planning solutions,
developing component technologies, and creating business
plans, and services. A wide range of manufacturing solutions
realize an ideal manufacturing operation.
project performances pave the way to a consistent
T service against the backdrop of a rapidly shifting
manufacturing IT environment.
for manufacturing, including data collection, manufacturing execution, factory management, and analysis.
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understands all the situations of the factory in real time, and provide planned work execution,
tracking management and production status analysis, and comprehensive quality analysis services.
Hyundai AutoEver’s MES is a cloud-based platform that is easy to integrate and operate,
and has customised business services that can be used in various industries.
Through the manufacturing integrated intelligent MES solution, a smart factory that supports the diverse needs of customers, strengthens manufacturing competitiveness, and reduces IT costs becomes a reality.
Hyundai AutoEver collects all information necessary for plant management, secures interconnection between information, and calculates optimal management plans through linkage analysis using machine learning.
Service features
User-centred visualisation service
Real-time integrated monitoring
Visualisation of data, such as trends and detailed analysis by management indicators/causes
Provide a user-centred self-analysis service environment
Development of the analysis model for optimising of factory operating conditions
Analysis of influence factor correlation through statistical analysis
Application of machine learning algorithm
Build an integrated database
Build an integrated database for visualisation services
Build a separate analysis database for optimisation analysis
IoT platform application and data standardisation
Sensor, PLC, field system and backbone system (MES, ERP, etc.) data collection
Define collection system and standardize data
Apply an integrated IoT platform
IoT platform that
automatically controls
facilities through
big data analysis
The IoT platform, which can collect data through various sensors installed in the factory, such as equipment robots, and analyse it, and automatically control it, is the core of the smart factory.
The IoT platform analyses equipment abnormalities, failure causes, and failure patterns through big data analysis, and when anomalies are detected, it responds immediately to enable safe and continuous operation.
In addition, it enhances innovation through smart operation, such as forecasting the lifespan and failure of manufacturing facilities and detecting and improving abnormalities in advance through an intelligent facility maintenance and diagnosis system.
Shop floor specialised IoT platform
Build application services through information pipelines from factory facilities to enterprise systems
Provide a differentiated platform that performs from device connection to data management/control roles
Linking with smart devices
Collect various equipment status and measurement information in real-time from sensors installed in plants and robots
Monitor and control the operation status of major process equipment from a distance
Big data-based quality analysis
Define the life/failure forecast model through statistical analysis and check product defects in advance
Analyse abnormalities and failure causes/patterns by comparing with real-time facility information
simulates all processes from resources to production/results, and applies the optimal condition to work sites.
When a quality defect is detected through vision AI on site, it performs a digital twin-based relocation simulation to handle the defect in the shortest time with minimum movement and complete the quality report.
An intelligent factory that thinks for itself, presents insights, and moves through automatic collection and analysis.
Meet the smart factory, which does everything from defect detection to forecast-based deployments.
Service features
Provide the web standard browser SCADA screen written in XAML conducive to collaboration between designers and developers
Offer various data interface APIs such as gRPC, REST, kafka, etc.
Operate on Windows and Linux and other various platforms such as On-premise, VM, K8S, etc.
Seamless interlinking with the HAE Smart Factory solution.
Major Features
Cross browsing that offers consistent user experience on multiple browsers
Easily replay past tag data on the SCADA screen through the replay function
Write customized user components with desired functions
Process data and perform user functions by writing scripts in JavaScript
Write both web pages and UWP apps with one source
compliance with the Korea
Energy Agency grade 1
energy management guide
in the ESG environment
(energy/carbon emission)
categories of sustainability report
development/optimization
solution based on
clouds(PaaS)/MSA
to factories, buildings,
data centers, etc.
Precise target management by using energy production/consumption prediction algorithms
Identify causes of energy waste and present the response guide
Monitor the performance of major energy facilities and offer error detection alerts
Reduce energy consumption by directly controlling energy facilities inside the factory
Text area detection and recognition
Text area detection in various environments such as steel and parts
Slab number recognition, manual lever identification, rudder angle recognition, etc.
Reading for quality defects
Guaranteed production continuity through deep learning-based product defect reading
Construction site safety management
Develop an algorithm for determining whether workers are wearing safety gear
Detect whether a person has entered the hazardous area or not
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(CMS/PHM : Condition Monitoring System / Prognostic Health Management)
Service features
Provide the web standard browser SCADA screen written in XAML conducive to collaboration between designers and developers
Optimize the diagnosis of mechanical failure of drive units for robots/wireless vehicles
Link to HAE Smart Factory Intelligence service
It tracks the location of vehicles and tools in all processes of the shop floor and effectively prevents information work errors by communicating with facilities and tools in real time after positioning indoors in important processes.
Managing the status of work on the shop floor
Comprehensive management of vehicle location and assembly/quality information based on the operating system
Real-time data communication
Simplify the information transmission/reception step and establish a unified data delivery system
Ensuring quality integrity
Automate smart device-based vehicle model, specification, and sequence classification
Prevent information errors and leaks of defects through automatic matching of tag (actual vehicle) and tool position