platform industrial internet of things (iiot)
TRANSCRIPT
Industrial Internet of Things (IIoT)Platform
O i l a n d g a s T r a n s p o r t a t i o n M i n i n g
D i s c r e t em a n u f a c t u r i n g E n e r g y F M C G
FOR WHOM?
The main purpose is to build cloud solutions fordiscrete and process/continuous manufacturing.
Discrete manufacturing is an industry term forthe manufacturing of finished products that aredistinct items capable of being easily counted,touched or seen. Discrete industries - includefood and beverages, equipment manufacturing,processing industry.
In process manufacturing, the product is createdby using a formula or recipe to refine rawingredients and the final product cannot bebroken down to its basic components. Examples:mining and metallurgical companies, cementproduction, oil and gas production and transportindustry.
THE PLATFORM
THE CHALLENGES THAT CLIENTS SOLVE WITH THE USE OF PLATFORM
Operating costs increase as processequipment becomes more complex
High energy consumption at al l stages of production
Lack of analysis to determine equipment operationdeviations
Ineff ic ient process control
Tradit ional service models that rely on operators whenfaults are discovered are not fast enough and cannot beapplied effect ively
Manufacturing defect
Errors in the entire supply chain, equipment defects andfaults result in unscheduled downtime
Optimizing used energy resources;
Improving product qual ity by identifyingthe crit ical factors in the manufacturing;
Providing production transparency and theabil i ty to monitor the ful l picture of howproduction works.
Digitalization as a driver of long-termcompetitiveness:
DIGITALIZATIONIS SOLUTION TO IMPROVEMANUFACTURING EFFICIENCY
Helping the staff to make more informeddecisions based on the col lected data;
CEO and business owner- Control business metrics - from electricity costs to profits or losses. They can predictand define production plans based on real-time data.
CIO - Implement digital technologies into the production activities of the company. Manage production andtechnological processes based on collected data. Build seamless integration between departments.
Chief technologist - Control deviations from technological parameters and monitor product quality.
Chief mechanical engineer - Analyze anomalies in the operation of equipment and takes the necessaryprompt actions to eliminate faults in real time. Identify opportunities for improvement and we be able torespond and fix issues that arise right away.
BENEFITS WITHINORGANISATION
IMPROVE YOUR OVERALL EQUIPMENT EFFECTIVENESS (OEE)
REDUCE THE RISK AND FAILURE RATE OF PRODUCTS OR PROCESSES
REDUCE THE COST PER UNIT
DIGITALIZATIONOPPORTUNITIES
Mechanization, water power, steam power
Mass production, assembly line, electricity
Computer and automation
Cyber Physical Systems (CPS)
The platform containing a set of libraries anddesign patterns for building scalable distributedsolutions for industrial enterprises
Real-time time data enabling constant monitoringand analysis of process and assets
Customizable monitoring dashboardsto track equipment operation, KPIs,and performance indicators (OEE) , analyzeanomalies, and perform the necessary operationaltroubleshoting actions
Machine learning to create mathematical modelsfor predicting potential failures to optimizeproduction facilities and operating efficiency
THE PLATFORM
Impact range observedKPIs improvements
Productivity
Agility
Customization
RESULTS OF IMPROVINGEFFICIENCY*
*Source: World Economic Forum and McKinsey & Company and FACEPLATE cl ient 's reference
0 50 100 150 200 250
Factory output increase
Productivity increase
OEE increase
Quality cost reduction
Product cost reduction
Energy efficiency
Inventory reduction
Lead time reduction
Time to market reduction
Change-over shortening
Lot size reduction
10-200%
5-160%
3-50%
5-90%
5-40%
2-50%
10-90%
10-90%
30-90%
30-70%
50-90%
SOLUTION
Energy and material balance in production.
Machine learning for predicting potential failures in the technologicalprocess and equipment work - identifying unusual resourceconsumption,increased electricity consumption for equipment, cooling andventilation systems. Jumps in measured parameters.
Integration with third party systems, transfer or receive information toother systems of the enterprise, for example storage of laboratorymeasurements (LIMS), warehousing (WMS), enterprise management (ERP),etc.
FACEPLATE FUNCTIONALITY —MATERIAL FLOW AND BALANCE
Tracking of production stopsMonitoring of low production rate periodsForecasting machine maintenanceAlarm and event recording and statisticsReporting, charts, trends and dashboardsPareto downtime analysisRoot cause analysis tools
Key functions of downtime management:
MAINTENANCE MANAGEMENT
INTEGRATION
PROJECT IMPLEMENTATIONPLAN
Site survey
Analysis of information, issuing a recommended solution
Working out the equipment, connection method, production assets
Supply of the necessary equipment, engineering (drawings)
Connecting industrial assets
SAT, comissioning works
Customer training
Indicate the reasonand criteria forplatformimplementation(for what?)
Working solution for remote management of digital production
Deploy the solution Determine thenecessary numberof processes fortracking platform
Implementation.Connection toexisting industrialassets
Track your product ion performance anywherearound the world in real t ime, from any deviceand whenever you need i t
e x p e r t @ f a c e p l a t e . i o