Smarttwin

SMART SEAPORT

The Digital Twin of Seaport

Get more about Smarttwin system

SMART SEAPORT

The Digital Twin of Seaport

Get more about Smarttwin system

WHAT IS SMATTWIN ?

HOW TO REDUCE THE COST OF OPERATIONS AND IMPROVE EFFICIENCY ?

The Seaport has a lot of areas to store containers, bulk, Ro-Ro cargo

But how to find the right spot for cargo placement considering predefined limits for available storage, history of dwell time for every container, forecasted cargo arrival time, etc.?

Seaport is working with different transportation companies

But how to synchronize cargo operations with cargo delivery to\or from a terminal by trucks or railway?

Ships arrive every day

How to choose the right berth for each ship considering the type of cargo, assets availability for the cargo operations, storage capacity, vessel schedule, cost of operation and assigned laytime?

There are a lot of SMART management systems in the Seaport

Many details but how to see the whole picture?

SMARTTWIN SYSTEM

HOW IT WORKS

Always represent an existing operational object – from design proposal to system handover, the digital twin will reflect a real object

Represent the object's real-world state – provide data that describes the present and historical conditions of the object and external and internal processes

Models can expand into multiple realms: supply chain analysis can benefit from modelling warehouse operations, truck management system and weather conditions

SYSTEM DESIGN

SMARTTWIN FEATURES

3D/2D model of the Seaport

User-friendly interface

Artificial Intelligence and Simulation Modeling

WHY 3D

User friendly interface with natural view on virtual environment

User can observe on any object on the screen from different distance and angle

Zoom and rotation in 3 dimensions help to see everything from the best angle and distance without going on site

USER FRIENDLY INTERFACE

The data collected from sub-systems is representing in Realistic 3D view
Real-time updates and reliable information
Direct access to any device or object at the Seaport
Monitoring and control on machinery
Different user profile settings
Objects and cargo search
Technological processes visualization
Visual planning of cargo placement in the storage zone

SmartTwin "rewind" feature

The REWIND feature allows:

To restore the stage of all data systems in the Terminal (TOS, ERP, IoT Platforms, Fleet management, etc.) on any date in the past
To show what was happening in the Terminal on any day in the past (operations, trucks and crane movements, cargo location, vessels, etc.)
All data from different sources is consistent and time-stamped
The data could be used for analysis, operation optimization, and anomalies detection

WHERE IS AI ?

The module uses self-learning AI algorithms, which are improving cargo operations, reducing the cost of them and collecting data for further analysis and operations optimization

WHERE IS AI ?

The module uses self-learning AI algorithms, which are improving cargo operations, reducing the cost of them and collecting data for further analysis and operations optimization

AI helps to detect and prevent accidents on the yard.

AI modules are working in the background and analyze Big Data coming from different sources.

AI helps in decision making for different user roles.

AI optimizes the cranes and truck management, berth allocation for vessels, cargo storage, container placement, manpower allocation, vessels movements, bunkering services, etc.

AI reduces the cost of operations and improves the time.

Simulation Modeling

The simulation model could be used for modeling of port operation including ships, internal and external trucks, berths, yard, warehouses, transit yard, ro-ro berths, cranes, forklifts, etc. in statistical-mathematical terms

Key benefits of the simulation modelling:

statistics on cargo flows
utilization of berths and equipment
productivity indexes
answer on "what if…" question
helps in forecasting and planning resources
improves productivity, machinery utilization, throughputs, eliminates bottlenecks in processes, reduce development and construction cost

BENEFITS OF SMARTTWIN

Digital Twin concept represents the convergence of the physical and the virtual world where every industrial product, operational process or asset will get a dynamic digital representation

Fast ROI for SmartTwin Deployment

Revenue Growth

Reduction of Operating Cost

Single high-level platform fulfilled with Big Data

3D visualization of assets and operations

Prediction of emergencies, testing reaction

AI for operation optimization

Simulation of processes, services and asset locations

Reducing human errors and improving productivity

Smart enterprise platform for real-time onsite or remote management

End-to-end integration with existing management systems

Saving on the cost of cargo moves, equipment maintenance, fuel consumption, time for the operation, rent cost, etc.

Improving terminal cargo throughput, berths usage, asset management, reducing dwell time for containers on the yard

USE CASES

Real-time platform for the Control Room
SmartTwin allows to connect different isolated management systems in one single management platform providing full visibility on different processes correlation in real-time environment.

Enterprise class Decision Support System based on Big Data analytics

Has a "rewind" feature which allows user to see the stage of terminal in any day in the past by keeping a log of all events, resources, jobs and assets location
Visualization and Management platform for RTLS system:
Real-Time Location System is used to automatically identify and track the location of objects on the terminal in real-time. GPS sensors on ITV or Cranes transmit geo-location of objects. SmartTwin can use that data and show the location of trucks, cranes, or any other object equipped with a location sensor on the 3D model of the yard in real-time.

SmartTwin is constantly analyzing data from TOS, Fleet management, Programmable Logic Controller (PLC) on Crane, IoT sensors, and other sub-systems existing at the terminal and provide details about every process or machinery stage (in form of reports, dashboards, documents). The system automatically controls the job assigned, the status of every job step, KPIs and also detect anomalies in data in different sub-systems.

Expected benefits:

•Real-time movement of container handling equipment
•Single window for all automated systems on the terminal: Vehicle booking, Gate automation, OCR systems on cranes, railway, traffic control, fleet management, IoT, etc. Connects all of them and allows to exchange of data between them.
•Performance statistics and maintenance status of port tractors and carriers
•Remote control for all operations on the yard
•ITV route and fuel consumption optimization
•Exceptions and alerts
•Container Inventory
•KPIs and Moves per hour data for all STS\RTG\ARMG Cranes
•Filters and reports to view performance of operators
•Reduced time for operations
Visualization and optimization module for TOS:
A Terminal Operating System, or TOS, is a key part of a supply chain and primarily aims to control the movement and storage of various types of cargo in and around a cargo terminal or port. The system also enables better use of assets, labor and equipment, plans workload, and receives up-to-date information. Usually, TOS uses forms of 2D interface and has limited customization capability for features and UI. Some Terminal operators use different TOS in their terminals. Some terminals have different types and numbers of sus-system which transmit data to their TOS. All of these issues affect user performance, require a lot of training hours and support from the help desk. And also it is not cheap and fast to implement some new features to TOS. SmartTwin can address all of these issues and work as a TOS extension, provides a single UI and has a lot of customization and reporting capabilities.

Expected benefits:

•Operation efficiency increase
•Remote control on the operations at the terminal from any location in the World
•Single UI for all users even if they are using different types of TOS
•Simulation modeling for decision making, foresight and planning through predictive analysis.
•Improved asset tracking
•Improved efficiency of IoT sensors
•Monitor end-to-end cargo tracking, fleet management services
•Faster truck and ship turnaround times
•Reductions in failures in cargo movements by cranes and ITV
•Reduction of energy usage and a port's overall carbon footprint
•Simplifying deployment of autonomously operating vehicles
•Reduced time and cost for operations

HOW WE PROCESS THE DATA

Task: Container storage location optimization at the Container terminal

Initial data: Real historical data of the container location for the last 12 months

Advanced features of AI-powered container storage location optimization module and components:

Model No. 1: based on the data about the occupied cells considering predefined limits for available storage locations for container placement
Model No. 2: based on the history of dwell time for every container in the terminal
Model No. 3 (mixed): based on forecasted container arrival time and taking in account conditions from Model № 2 and available storage locations from Model No. 1 plus ranging locations depending on the estimated number of shuffle moves

The module work result:The highest-rated location recommended for container placement
WHAT DOES AI GIVE
Reducing the average number of shuffle moves – up to 33%
Reducing number of shuffle moves compare to the other container management systems by up to 20%

Reducing the time required for cargo operations for each ship
Reducing cost for the machinery maintenance
Reducing the human factor influence

Improving business transparency and manageability
Improving equipment utilization and reducing fuel consumption
SIMULATION MODELING for optimal CARGO OPERATION
Task: Optimization of machinery usage for cargo operation with vessel (loading / unloading) at the Container terminal

Initial data:

1. General:
•Date and time of simulation start
•Weather condition
•External constraints according to topology terminal (railway crossings, road repair)

2. Ships:
•Distribution of cargo inside the vessel (per bay)
•The number of cargo to be unloaded and loaded
•Hatch cover clearance
•Cranes assignment per each bay

3. Resources availability:
•Total number and types of available cranes, reach stackers, trucks, etc.)
•Number of accidents with assets
•Performance characteristics (performance, load capacity, resistance to wind, loads, etc.)
•Work schedule

4. Scope of Works:
•Start time and duration of shifts
•Used procedures
•Data about vessel
•Time of operations for the job
•Trucks\railways schedule

The module work result: The most optimal set of cranes & trucks and min time required for cargo operations for each vessel
WHAT PREDICTIVE ANALYTICS GIVES
Result: the best combination of cost of operations\min number of cranes & trucks\min required time
Predicting work completion time, operating hours, downtime
Forecasting the machinery utilization, which allows the most efficient movements without queues
Assessment of the influence of factors on the machinery downtime, number of accidents, optimal routes, movements of railway / auto trains, distribution of works between cranes)
Reducing the time required for cargo operations for every ship
Reducing cost for the equipment maintenance
Reducing the human factor influence
Increasing business transparency and manageability
Improving equipment utilization and reducing fuel consumption

9

years of research and development

4

seas

1 M+

real-time monitored objects

CONTACTS

INTELLECTIKA LLC

RUSSIA - MOSCOW
+ 7 (495) 215-11-80

UAE - DUBAI
+971 55 161 8657

port@ismarttwin.com