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