SAP Leonardo Vehicle Insights Architecture Overview

SAP Vehicle InsightsArchitecture Overview

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SAP Vehicle Insights

Benefit Areas and Features

Time-To-Market / Speed of Realization

Performance & Big Data• Flexible and powerful data model

• Large amounts of telematics data

• Multi temperature data storage*

Analytics & Prediction• Flexible reporting via Business Objects Cloud

• Easy configuration of analytical models

• Provisioning of predictive libraries and tools

Content & Services

• Delivered content for data transformation

• Geo services and geo-fencing

• Full featured development approach for extensions

• Flexible and extensible “Thing” data model

• Consumption of provided services

UI & Visualization• Maintenance and configuration UIs

• Geo-Fence Administration

• Driver portal data insights

• Map visualization and integrated analytics

Business Integration

• Delivered business logic and scenarios

• Combined analytics with business and

vehicle (telematics) data

• Integration into business processes

SAP

Vehicle

Insights


SAP Vehicle Insights - Architectural Overview

Vehicle Data Integration

Any Data Source

SAP Suite & S/4

HANA

SAP HANA Cloud Platform

Fle

xib

ility

, S

ca

lab

ility

& E

xte

nsib

ility


“Thing” Data Model

OData Service Layer

Data Processing Foundation Services > Geo | Predictive | Time Series | Rules

Data Transformations Predictive Models

Geo and Map

Services

Analytical

Services

Data Access

Services

Other

Services

User Interfaces Analytics

En

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-En

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on

ne

ctivity a

nd

Data

Se

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rity

Roles & Authorization Data Access


SAP Vehicle Insights - Function & Feature Overview

Vehicle Data Integration

Inbound Messaging (Preferred)

• SVI Inbound Endpoint (Out-of-the-box)

• Out-of-the-box option for the integration of data

• Supports HTTPS communication and

JSON/XML data load

• Authentication via BasicAuth

• Mapping content for various devices

• IoT Services (Customization needed)

• Two-way communication between SVI and the

edge device

• Supports HTTPS, WebSockets and MQTT

• Authentication via oAuth preferred

Inbound Messaging (Project specific)

• Smart Data Streaming

• Supports handling of streaming data including

filtering, data preparation and calculations

• Remote Data Synchronization

• Supports offline-online scenarios with offline

data collection and synchronization as soon as

the device is online again

• Requires software components to run on the

edge devices as well

Vehicle Data

Integration




OnPremise to Cloud Connection

• SAP HANA Cloud Connector

• The cloud connector allows to establish a

secure connection from an onPremise

landscape into the SVI

• This enables the transfer data from onPremise

to cloud or to load data from the onPremise

system

• OData Service Interface

• SVI can provide an OData interface to which

data can be transferred from the onPremise

systems

Integration Scenarios

• Integration scenarios into onPremise enterprise

systems are realized on a project-basis

• There are two different types of scenarios that

have to be separated

• Business Data Integration

• Integration of data from the enterprise systems

in order to combine this data with data from

vehicles

• This allows to provide advanced predictive

algorithms and data transformations

• Business Process Integration

• The process integration allows to automate

business processes and to transfer data into

the involved enterprise systems

Business

Integration



Thing Data Model

Thing Data Model

• Flexible data model with an advanced entity

inheritance concept (e.g. Car Vehicle Thing)

• Advanced concept for data grouping

• Core Entities: Country, Image, LegalEntity,

Person, UoM, Thing

• Vehicle Entities: Vehicle, TelemetryUnit,

DTCEvents, Route, Trip, TripSegment, Track,

RoadType,

• Data Entities: TimeSeriesItem, GeoSeriesItem,

LocationInfo

• Full extensibility via specialization of the

respective entities and extension of parameters

Pre-Configured Parameters

• Preconfigured list of more than 36 parameters

supported out-of-the-box

• Trip parameters like recorded distance, trip

segments, recorded time or time since start

• Engine parameters like coolant temperature,

mass airflow, oil level or battery voltage

• Service related parameters like distance to next

service or time from last services

• Driving related parameters like throttle/brake

pedal position, gear or fuel consumption

• Flexible definition of additional parameters via

configuration user interface

“Thing” Data

Model



Data Processing Foundation Services

Geo-Spatial

• Distance and Area

• Point in Polygon

• Convex Hull including Aggregation

• Intersect, Difference, Union

Predictive

• Clustering Algorithms

• Classification Algorithms

• Regression Algorithms

• Association Algorithms

• Time Series Algorithms

• Data Preprocession

Time Series

• Vertical Time Series Aggregation

• Horizontal Time Series Aggregation

• Horizontal Time Series Disaggregation

• Time Series Data Load

Rules

• Rule Definition via Decision Table

• Rule Definition via Natural Language

• Rule Testing

• Rule Execution and Action

Data Processing

Foundation

Services



Data Transformations

Available Transformations

• Cleansed Mileage Calculation

• Trip and Segment Determination

• Detailed Geo-Coding and Road Assignment

• Gear Recognition

• Advanced Distance Calculation

• Advanced Time Calculation

Planned Transformations*

• Road Assignment and Matching

• Route Determination

• EcoScore Caluclation

• Cross Vendor Fuel Consumption Calculation

Realization of Transformations

• Transformations are scheduled calculations that

allow to analyze and transform detailed vehicle

data and store the results in a target table

• The realization options are

• SQLScript SQL dialect that allows to directly

work with the data

• Javascript Functional development of

transformation logic based on a common

programming language

Data

Transformations



Predictive Model

Available Predictive Models

• Distance Prediction

• Calculation of the expected distance for a

specific car and route based on historical data

• Frequent Trips

• Calculation of trips and routes that are

frequently traveled by a driver

• Location Clustering

• Calculation and clustering of all involved

locations

Realization of Predictive Models

• Predictive models are scheduled or non-

scheduled calculations that use the algorithms

from the predictive libraries of SAP Vehicles

Insights / SAP HANA Cloud Platform

• The realization can be done within SQLScript or

with predictive tools provided by SAP, like SAP

Predictive Analytics

Predictive

Models



Services (Data, Analytical, Geo, Others)

Data Access Services

• Master Data Services

• Interfaces to all master data entities supporting

all CRUD operations

• Data Services

• Interfaces to all operational data entities

including CRUD and analytical operations

Analytical Services

• Access to the Fleet Cube Analytical View

• Can be accessed from Cloud 4 Analytics /

Business Objects Cloud or other analytical tools

Geo Services

• Geocoding Service / Reverse Geocoding Service

• Street / Road Type Determination

• Geo-Fencing and Alerting

Services (Data,

Analytical, Geo, Others)



OData Service Layer

OData Interface

• Automatically Generated OData Interfaces for all

Provided Services

• HTTP / Rest-Based Access

OData Service

Layer


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SAP Leonardo Vehicle Insights Architecture Overview

Software

Transcript of SAP Leonardo Vehicle Insights Architecture Overview