Amazon cloud technology industrial data lake x innovative applications to help you release new productivity

The wave of digitalization is booming, and the digital transformation of the manufacturing industry is becoming more and more popular. According to McKinsey’s survey of more than 400 manufacturing companies around the world, almost all sub-sectors are vigorously promoting digital transformation. As many as 94% of the respondents said that digital transformation is the key to maintaining normal operations during their crisis.

 

Digital manufacturing will inevitably transform to data-driven and intelligent analysis,

Real-time feedback and analysis based on fused data will accelerate business decision-making, improve productivity and quality management

As a pioneer in the field of cloud computing, Amazon Cloud Technology has more than 20 years of experience in the manufacturing industry; combined with the business scenarios of the manufacturing industry and customer needs, it designs and develops corresponding solutions for real business scenarios, covering product and process design, intelligent manufacturing , supply chain management, intelligent products and services, and sustainability, digital and intelligent integration empowers the entire value chain of the manufacturing industry. For the field of intelligent manufacturing, Amazon Cloud Technology recommends that manufacturers integrate IT+OT data, build industrial data lakes in the cloud, and use innovative applications such as AI industrial vision/time series data analysis for value mining and business empowerment.

● IT+OT data fusion

● Build an industrial data lake in the cloud to carry business needs

● Use innovative applications such as industrial vision for value mining

 

Amazon Cloud Technology Industrial Data Lake Solution

Help enterprises break through data barriers in various business scenarios

The Industrial Data Lake (Industrial Data Lake) solution of Amazon Cloud Technology builds an industrial data platform through the fusion of IT and OT data, which can realize the visualization of the whole process from equipment, process, order, delivery, etc., to conduct data insight and early warning of potential manufacturing Abnormal, realize intelligent decision-making based on AI and big data, and improve the agility of intelligent operations.

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Some typical scenarios of industrial data lakes

● Smart factory: establish a secure cloud connection, and the data can be seen in the cloud in near real time. When the production line or machine is down, perform root cause analysis (RCA), or understand the blockage of the production line in real time, so as to effectively improve OEE;

● Virtual Andon: helps users monitor an incident at a manufacturing workstation, log the incident, and then route the incident to the appropriate engineer for resolution;

● Asset management and operation and maintenance: By using data lake-based kanban and based on improving machine availability, enterprises can implement automated workflows across transaction systems, calling operations such as maintenance work orders and replacement parts procurement;

● Quality Kanban: Helps extend asset life, reduce maintenance costs, facilitate asset root cause failure analysis (RCFA) and improve mean time between failures (MTBF) by providing easy-to-implement sensors and integrated analytics applications.

 

Amazon Cloud Technology Industrial Vision Solution

Help manufacturers improve productivity, proactive quality management

The industrial vision solution is a solution suite composed of hardware + AI/ML + third-party services, aiming to transform the existing physical assets of manufacturing enterprises into intelligent assets.

Some typical scenarios of industrial vision solutions

● Factory safety and health monitoring: EHS solutions based on Amazon Cloud Technology industrial vision can efficiently and cost-effectively solve site and personnel supervision, such as monitoring of dangerous areas;

● Industrial instrument data reading: automatic instrument data recognition with the help of Amazon cloud technology industrial vision, avoiding manual meter reading, poor real-time performance, and inaccurate data records;

● Product surface defect detection: Amazon Cloud Technology’s industrial vision solution can conduct quality inspection, comprehensively monitor multiple product properties including physical properties, mechanical properties, appearance, etc., to meet the requirements of high-quality products on the fast production line;

● Missing and missing accessories detection: Amazon Cloud Technology industrial vision can be used to check smart accessories, quickly identify the combination and omission of accessories, ensure product integrity, and reduce customer complaints;

● Disconnection recognition in the clothing industry: Using Amazon Cloud Technology’s industrial vision, it can quickly detect the occurrence of disconnection and wrong lines in the production process of the traditional clothing industry in a short period of time while ensuring high accuracy. Line recognition and pattern matching.

 

Amazon cloud technology time series data analysis solution

Empower manufacturers to train and deploy AI/ML applications

The time series data analysis solution is a suite of hardware + AI/ML + third-party service solutions, which aims to digitize the existing data of manufacturing enterprises and quickly discover useful information from it.

Some typical scenarios of the time series data analysis solution

● Predictive maintenance: Analyzing data using predictive maintenance strategies can help avoid unplanned failures, for example, planned replacement of certain wind turbine components identified by remote condition monitoring systems during times of low power demand;

● Demand Forecast: By predicting customer demand for products in a certain period of time in the future, enterprises can purchase raw materials in advance and arrange production activities to respond to changes in customer demand;

● Equipment efficiency optimization: Obtain the overall equipment effectiveness (OEE) by evaluating the availability, performance and quality of a process line, so that manufacturers can clearly understand their production process, so as to identify areas that can be improved, such as improving production flexibility and reducing downtime Time or improve product quality, etc.;

● Energy consumption management and optimization: Manufacturing enterprises urgently need a green manufacturing technology system that connects data collection, edge computing, data management, analysis and modeling, system deployment to industrial applications, and provides optimal decision support for energy consumption management.

 

Amazon cloud technology intelligent manufacturing solution

Successfully applied to global manufacturing customers

Amazon Cloud Technology joined hands with PricewaterhouseCoopers to help Chervon solve data governance and use problems; build an AI industrial visual inspection platform, reduce the false detection rate to less than 0.5%, and achieve zero missed detection rate, build a cloud smart monitoring system, and realize Energy scheduling optimization.

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Origin blog.csdn.net/m0_66395609/article/details/130576159