IoT
17669
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SUNGWOO HITECH

Data analytics visualization services built by linking data collected from factory facilities to deep learning inference results with various services on AWS

Company Overview

  • SUNGWOO HITECH opened an R&D center for the first time in domestic automotive parts industry.
  • SUNGWOO HITECH has established lightweighting technology, using new materials such as aluminum, CFRP, magnesium and giga steel.
  • SUNGWOO HITECH is committed to maintain and develop the essence of automobiles and keep pursuing our innovation for new technologies such as battery system assembly (BSA), hydrogen storage apparatus, thermal imaging camera and LiDAR.

The Situation

  • It needed to link data collected from factory facilities with deep learning inference results to ‘data analysis visualization service’ using AWS service.
  • It needed a PC and Mobile real-time dashboard sharing system between authenticated users.

The Solution

  • We built a solution that enables data utilization by uploading data collected from bracket classification devices and positioning welding devices to the AWS cloud
  • We proposed a data analysis and processing system that visualizes and provides data so that it can be viewed at a glance.
  • We provided real-time data transmission modules using AWS C# SDK and IoT Core MQTTS.
  • We provided real-time data collection using IoT Core.
  • We provided a serverless dashboard site using CloudFront, S3, API Gateway, Lambda, and RDS.
  • We provided dashboard site authentication using Cognito.

The Architecture

The benefit

  • Data analysis visualization service is possible by providing a transmission module so that a vast amount of data collected from factory facilities can be transmitted and utilized in real time.
  • By linking and utilizing AWS services and big data, a systematic and professional process for complex infrastructure is possible.
  • AWS Cognito service provides dashboard site authentication and enables trust-based services between users.

K-FILTRO

IoT flow meter filter management system that transmits and collects data by linking the flow meter sensor with AWS IoT service

Company Overview

  • K-FILTRO is a Korean distributor of Claris Water Purification Filter and Klairs from Aquis, Switzerland, and handles cafes, kitchen facilities, and home filters.
  • K-FILTRO contributes to providing optimal water quality as a subsidiary of Cheongryu F&S, a company specializing in Filtration & Separation.
  • K-FILTRO recommends a filter system suitable for regional water quality and provides systematic filter management through scale generation prevention and water quality check to expensive equipment such as coffee machines and water heaters.

The Situation

  • It needed to improve flow meter maintenance workflows that were under manual management into more convenient and automated workflows by leveraging AWS services.
  • It was necessary to establish a systematic system so that officials could check the flow meter status more easily and quickly after linking mobile applications.

The Solution

  • We installed a flow meter and established a system that can continuously collect and manage data after linking with AWS IoT Core service.
  • We provided workflows so that the person in charge can check and check the flow meter through the application, such as data status inquiry and certificate management.
  • We have provided a more reliable environment than before introduction through a safe and systematic deployment process.
  • We made it possible to register, manage, and control flow meters (flow meter status check and management, client test) in IoT Core, and to collect and store data by linking Lambda.
  • We developed the application by downloading the SDK after connecting the application and AWS infrastructure that customers use using API Gateway.
  • We guided customers to use it in conjunction with Glue and Lake Formation to build Data Lake when expanding their business in the future.
  • We wrote Lambda code considering infrastructure security.

The Architecture

The benefit

  • If the flow meter, which has to be managed when expanding the business, increases, an expandable infrastructure has been established to utilize big data services, and AWS service guidance is also possible in the future.
  • Based on the requirements, additional AWS service guides that can be referred to when developing and linking applications are presented to assist in stable service utilization.

Tuneit

A system that analyzes and purifies data after the vehicle sensor is installed and communicates the necessary information to the user

Company Overview

  • Tuneit provides a smart mobility platform to realize a smart mobility life culture using information collected from means of transportation.
  • Tuneit provides opportunities for infrastructure construction and technology development using state information and driving information produced through transportation means and users.
  • Tuneit provides concierge services by recommending customized information and services related to transportation to users.

The Situation

  • It was necessary to establish a smart mobility system to inquire the status of the vehicle and deliver information to customers through the web and apps.
  • It was necessary to design an infrastructure linked to AWS IoT services with customer’s self-developed devices and gateways.

The Solution

  • We provided a service that delivers information to customers on the web and apps such as vehicle operation records, location, and lock status as AWS IoT Core and Kinesis integrated environment.
  • We utilized Bastion Host considering security and maximized reflection of customer requirements when establishing architecture.
  • We have made sure that data in MQTT format is received via IoT Core and stored in S3 for data analysis.
  • We let the data be analyzed and processed via Kinesis and stored in RDS, and provided fast and secure services to customers using EC2, ELB, and CF.
  • We used the client’s self-developed devices and gateways together when collecting data.

The Architecture

The benefit

  • It enables the establishment of a stable infrastructure that can provide big data collection and management services on smart mobility platforms.
  • It provides continuous cloud MSP services so that customers can use core technologies stably.

Hanwha Total

Establishment of facility diagnosis automation

Company Overview

  • Hanwha Total is engaged in various management activities, including oil and gas exploration, crude oil refining and petrochemical production, through bases of production and sales in more than 130 countries.
  • Hanwha Total Petrochemical has always strived to improve the quality of our lives by placing top priority on the value of life chemistry for human beings, cutting-edge chemistry based on technologies, and environmental chemistry that puts the environment first.

The Situation

  • It was necessary to establish a data-based facility diagnosis work system.
  • It was necessary to improve the efficiency of diagnostic work by standardizing facility diagnosis work.
  • It was necessary to accumulate necessary data to establish a facility forecast preservation system.

The Solution

  • We managed edge device status checking and facility vibration collection certification and linked lambda to collect and interpret facility vibration data in AWS IoT Core.
  • We analyzed and stored the collected vibration data using AWS lambda, identified the analysis data alarm stage, and determined the type of failure according to the defined rules, Data I/F, and event processing.
  • We collected legacy data through Amazon Kinesis.

The Architecture

The benefit

  • We established a facility diagnosis intelligence system that collects facility data and generates automatic diagnosis reports.
  • It enables the configuration of facility diagnostic data collection through Edge-IoT.
  • We developed alarms, diagnostic rules, and machine learning models through diagnostic consulting.
  • We have developed a system to generate automatic diagnostic reports.