The document discusses using MongoDB as a universal datastore for industrial Internet of Things applications. It presents the benefits of MongoDB, including its flexibility to store different data types in the same field, its scalability for storing large amounts of high-frequency industrial data, and its ability to simplify analysis by exposing natural data structures. MongoDB is seen as a perfect fit for industrial big data due to its performance, flexibility to accommodate variant data structures from different source systems, transport capabilities using BSON, and cost effectiveness.

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Presentation
Realtime Data –The Source ofCorporate IntelligenceandAgility

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1.
Somethoughtson Industry4.0
2.
Internet ofThings vs. Industrial Control (andpractices)
3.
The OPC specificationin brief
4.
Short round-trip through„Industrial Data“
5.
BenefitsofMongoDB beingan universal datastore
30 MinutestoCover

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The Problem

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“Classic”Industry

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3.x
Industry
Material
Flows
Source: https://chemicalparks.eu/system/files/attachments/file/14/European_Pipeline_Infrastructure__Networks.pdf

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Goal is the
“Smart Factory”
Further Computerizationof
Traditional Industries
The Internet of Things
Is Technological Foundation
Industry
4.0
Drivers

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4.0
Industry
Effects
End ofData Boundaries
forIndividual Factories
Data Interconnectability
Between Sites Without Geographical Restrictions
EnourmousGrowth
of Production and Supplier Networks

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The Internet ofThings

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OurScope
Realtime Data

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system:inmation

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SQL
Text/XML
NoSQL/Schema-flexible/BSON
OPC
Common Data Sources

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1996
2013
1998
2001
2003
2006
2007
2009
OPC Data Access (DA) specificationestablished
OPC Alarms and Events (A&E) specification established
OPC Historical Data Access (HDA) specification established
OPC Unified Architecture(UA) created
OPC UA 1.0 becomesavailable
First productsbasedon OPC UA
OPC UA 1.01 becomesavailable
OPC UA 1.02 becomesavailable
OPC:OLE forProcessControl
Source: www.opcfoundation.org

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Teachyourself…
…andvisitwww.opcfoundation.org

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Source: www.intel.com
OPC?

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Source: www.arduino.cc
OPC!

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Source: http://www.ccj-online.com/ovation-upgrade-7fa/
AlwaysOPC!

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Advantages

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Simplification
Advantages
No schema pre-definition
Few (sufficient) datatypes

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Data Types:
Oracle, PL/SQL
Source: www.techonthenet.com/oracle/datatypes.php
Advantages

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Data Types:
SQL Server
Source: www.connectionstrings.com/sql-server-data-types-reference
Advantages

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Data Types:
OPC UA
Advantages

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Advantages
Data Types:

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Data Type Flexibility
Advantages
“Intrinsic” variants
“Intrinsic” arrays

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Sample Storage: Each (sub-second accurate) measurement is stored as a “Micro-Document”
o
ObjectIdpoints into another collection which stores the context information for this item (e.g. measurement).
c
This is the distinct counter relative to the value updates which were received from the external data source.
v
A value submitted by an external (OPC) server, in whatever format.
q
The external quality (bit mask).
t
The original timestamp taken from the external server.
h
The timestamp of the historization process (and machine).
Advantages

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Sample Storage: Different data types can be stored in the same “value” field:
Advantages

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SummaryMongoDB is the perfect fit for Industrial Big Data
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It has the performance and the scalability options required to store hi-freq data in huge amounts
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Timestamp accuracy is sufficient
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Schema (-less) flexibility fits the variant data structures, originated in (OPC) source systems
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BSON is not only about storage, but also transport
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Unbeatable value offer (both software and hardware utilization)
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It exposes ‘natural’ data structures which simplify any kind of further analysis
•
Choose between private and public cloud storage

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Thank You.