Asset Digital Intelligence
SMEC Oil & Gas Solutions LLC · SMEC Automation Pvt Ltd

One asset.
Multiple blind spots.

Turn the video, equipment, maintenance and engineering data your asset already generates into visibility your operations, maintenance, safety and engineering teams can actually act on.

AI video analytics · remote condition monitoring · predictive-maintenance software · digital twin technology — for Oil & Gas, offshore, marine, ports and industrial plants across the Middle East, India and global project locations.

SMEC engineer monitoring an industrial asset
Asset overview Live
Fleet condition index 96.4% Nominal Assets online 1,284 Open work orders 27 Alerts today 3 PPE violation, Camera 07 Detected and dispatched in 4 seconds Now

Deployed across

Oil & Gas Petrochemicals Power & Utilities Metals & Mining Cement Marine & Offshore Ports & Terminals Water & Wastewater Heavy Manufacturing
Quick answer

SMEC Asset Digital Intelligence is an engineering-led digitalization framework that connects existing CCTV, PLC and SCADA, maintenance and engineering systems into four platforms — real-time data acquisition, AI video intelligence, asset management and CMMS, and digital twin and simulation — for Oil & Gas, marine, offshore and industrial facilities across India, the Middle East and global project locations.

The visibility gap

Your asset may already have the data.

The question is whether it is actionable. Most operating facilities have already invested in automation, instrumentation, industrial CCTV and maintenance systems, yet operational visibility still depends on people connecting the dots by hand.

CCTV

Recording continuously, but important events still depend on someone watching a screen.

PLCs & sensors

Generating thousands of signals, but condition information stays distributed across systems.

Maintenance systems

Years of service history recorded, but spotting patterns across assets remains difficult.

Engineering systems

Drawings, documents and asset data, spread across multiple platforms and formats.

The result: an asset with substantial data, and limited contextual visibility. SMEC Asset Digital Intelligence is built to close that gap.

Four digital layers, one architecture

Not four disconnected products.

AI video analytics, industrial IoT condition monitoring, maintenance intelligence and digital twin technology — different assets have different digitalization priorities. Explore each layer below.

01 Acquire

NexWave

Real-time IoT, data acquisition and industrial connectivity.

Learn more
02 See

NexView

AI video intelligence and safety monitoring over existing CCTV.

Learn more
03 Manage

ProSet360

Unified operational monitoring, asset management and CMMS.

Learn more
04 Simulate

NexVerse

Digital twin, simulation and virtual engineering.

Learn more
NexWave
01 · Acquire

NexWave

Real-time IoT, data acquisition and industrial connectivity

The data layer. NexWave acquires from field instruments, PLCs, SCADA systems and standalone sensors, handles the connectivity, and presents the result as real-time dashboards and centralised visibility. It is the platform behind our research, defence and drilling work, where sample rates and reliability leave no room for a generic IoT stack.

Proven in

  • Research Centres
  • Naval Defence
  • Drilling Services
  • Power Utilities
  • Solar Infrastructure
  • Municipal Water
  • Marine & Shipping

Equipment supported

  • Pumps
  • Motors
  • Compressors
  • Generators
  • Gearboxes & drives
  • Marine machinery

Also covers industrial IoT monitoring, condition trending and maintenance decision support across distributed assets.

Discuss a data acquisition requirement
  • Field-level data acquisition
  • High-frequency sampling
  • Temperature, pressure, vibration
  • Current, voltage and power
  • Alarm and threshold management
  • Centralised multi-site dashboards
  • Equipment status and running hours
  • Process parameter trending
  • Machine health indicators
  • Read-only acquisition over OPC UA, Modbus and MQTT
NexWave industrial pump monitoring and real-time IoT dashboard
02 · See

NexView

AI video intelligence and safety monitoring

The vision layer. NexView applies computer vision to the CCTV already installed on your site, turning passive recording into real-time detection. It identifies safety violations, people and vehicles, and restricted-area breaches, then alerts the team who can act, rather than filing footage nobody reviews.

  • PPE and safety violation detection
  • People and vehicle detection
  • Restricted and hazardous zones
  • Perimeter intrusion detection
  • Fire and smoke indicators
  • Event analytics and reporting
  • Loitering and abandoned object detection
  • Crowd monitoring
  • Camera health monitoring
  • Centralised video monitoring across sites

Proven in

  • Oil & Gas, Downstream
  • Naval Defence
  • Manufacturing

Evaluated for

  • Refineries
  • Tank farms
  • Terminals
  • Ports
  • Warehouses
  • Offshore facilities

Starting point: SMEC reviews the existing industrial CCTV environment, the required detection use cases and the network architecture, from single-site coverage to centralised video monitoring across multiple facilities.

Assess my existing CCTV
NexView AI video intelligence and safety monitoring in an industrial facility
ProSet360
03 · Manage

ProSet360

Operational monitoring, asset management and CMMS

The management layer, and the widest of the four. ProSet360 pulls data from multiple systems into a single supervisory interface, and carries a full CMMS underneath it: asset register, preventive maintenance scheduling, work orders, spare parts and complete maintenance history. One place to see what is running, what it needs, and what it has cost you.

  • Unified multi-system view
  • Asset register and hierarchy
  • Preventive maintenance scheduling
  • Work order raising and tracking
  • Spare parts and inventory
  • Role-based dashboards
  • Inspection records
  • Maintenance history and cost tracking
  • Asset lifecycle records
  • Condition-based maintenance workflows

Proven in

  • Power Utilities
  • Naval Defence
  • Leisure & Entertainment

Built for

  • Maintenance-intensive plants
  • Fleets
  • Multi-site facilities

The core questions: what assets exist, what condition are they in, what maintenance has been performed, what is pending, and which equipment repeatedly demands attention?

Review our maintenance workflow
ProSet360 predictive maintenance and asset management dashboard
04 · Simulate

NexVerse

Digital twin, simulation and virtual engineering

The predictive layer. NexVerse builds a working digital replica of an asset, system or operation so its behaviour can be tested, validated and optimised virtually before anything is committed in the field. It is where a change gets proven, a failure mode gets explored, and a commissioning sequence gets rehearsed without risking the physical machine.

  • Twins of rotating equipment
  • Virtual validation before execution
  • Operational scenario simulation
  • Failure-mode exploration
  • Unmanned vehicle and robotics simulation
  • Predictive behaviour modelling
  • Engineering data integration
  • Equipment contextualisation
  • Remote asset review and engineering collaboration
  • Brownfield digitalization

Proven in

  • Naval Defence
  • Oil & Gas, Upstream
  • Robotics & Unmanned Systems

Brings together

  • Drawings
  • Documents
  • Databases
  • Live operating data

For complex physical assets where lifecycle information currently sits scattered across disconnected systems and formats.

Discuss a digital twin requirement
NexVerse digital twin, simulation and virtual engineering
Operational need → digital layer

Start from the problem, not the product.

Operational need SMEC platform
Field data acquisition and real-time equipment visibility NexWave
Video-based safety, security and operational events NexView
Maintenance, asset register and lifecycle management ProSet360
Digital asset, simulation and engineering visualisation NexVerse
Our clients

Trusted by leading organizations

Technology trusted across energy, defence, manufacturing, infrastructure and industrial operations.

ONGC
Jindal Drilling & Industries
ISRO
Maersk
Client logo
Bharat Petroleum
Indian Navy
Indian Air Force
KSEB
IndianOil
Indian Army
Client logo
Shipping Corporation of India
GAIL
Milma
Apollo
Aditya Birla Group
Shelf Drilling
Larsen & Toubro
John Energy
Brownfield first

Digitalization does not have to start with replacement.

An operating facility already contains significant digital infrastructure. SMEC starts by evaluating what is already there, and only then proposes what is missing.

01
Video

Existing CCTV & recorders

ASSESSED
NEXVIEW AI video intelligence over the cameras already installed
02
Control

Existing sensors PLC & SCADA

ASSESSED
NEXWAVE Remote and condition monitoring, read-only by default
03
Maintenance

Existing asset & service records

ASSESSED
PROSET360 Asset and maintenance intelligence with a full CMMS
04
Engineering

Existing drawings & engineering data

ASSESSED
NEXVERSE Digital asset, digital twin and simulation
By asset type

Built around asset-intensive sectors.

Select a sector to see the relevant platforms, asset classes and the closest work already delivered.

Oil & Gas digitalization

Upstream, midstream and downstream assets, combining some of the most complex automation, instrumentation and rotating equipment in industry.

Production facilities · Refineries · Petrochemical plants · Tank farms · Pipelines · Terminals · Wellheads · Compressor stations

Closest work: AI video intelligence for a downstream operator, a digital twin pilot for an upstream operator, and real-time drilling and well monitoring for a drilling services contractor.

Discuss an Oil & Gas project
  • Rotating equipment condition monitoring
  • Refinery and petrochemical data integration
  • PPE and restricted-zone video analytics
  • Fire and smoke early indicators over CCTV
  • Asset register, PM scheduling and work orders
  • Digital twins for critical equipment
  • Predictive-maintenance data foundations
  • Asset integrity visibility
Maintenance strategy

From reactive to predictive, one layer at a time.

The point of digitalization is not another dashboard. It is moving the maintenance decision earlier, and each platform moves it one step.

01
Level 1

Reactive

Equipment fails, maintenance responds. Cost and downtime are set by the failure, not by you.

Failure driven
02
Level 2

Preventive

Maintenance runs to a fixed calendar or hour interval, whether or not the machine needs it.

Schedule driven
03
Level 3

Condition-based

Real vibration, temperature and current data decide when the machine actually needs attention.

Data driven
04
Level 4

Predictive

Behaviour is modelled and tested virtually, so failure modes and changes are understood before they happen.

Prediction driven
Find your next step

Identify where your asset sits today and the digital layer that moves maintenance forward.

Discuss where your asset sits today
The SMEC difference

We understand the physical asset underneath the software.

25+

Years engineering experience

10,000+

Projects delivered

2

Delivery entities — India and the Middle East, with global project support

4

Digital intelligence platforms

Electrical systems Instrumentation PLC / SCADA Industrial communication Control architecture Rotating equipment Maintenance Commissioning
Technical assessment

Already have PLC, SCADA, CCTV or maintenance systems?

Then you probably do not need another isolated platform. Every engagement starts with the same six-point review of what already exists.

01
Foundation

Existing asset

What equipment and systems are operating today, and how are they controlled?

02
Gap

Visibility gap

What information is currently slow, manual or impossible to obtain?

03
Data

Data sources

What CCTV, PLC, SCADA, sensor and maintenance data already exists, and in what form?

04
Decision

The decision

Which operational, maintenance or safety decision needs to improve, and who makes it?

05
Integration

Integration path

What can be connected, over which protocol, and with what impact on the control network?

06
Deployment

Deployment

Pilot, single asset, facility-wide or multi-site, on-premise or cloud.

Start with what you already have.

The assessment identifies the smallest practical digital layer before anything new is deployed.

Start small

Start with one high-value use case.

You do not have to digitalize an entire plant on day one, and you should not. Start where better visibility can create measurable operational value.

Choose a starting point

Begin with a focused asset, process or operational workflow.

01 One critical machine 02 One production area 03 One camera use case 04 One maintenance workflow 05 One vessel 06 One rig system 07 One asset class
01
START Pilot

One asset, one camera or one workflow, scoped from what already exists.

02
PROVE Validate

Confirm the data path, the detection or the model against real operation.

03
CONNECT Integrate

Tie the proven layer into the systems and teams that act on it.

04
EXTEND Scale

Roll the same pattern across the asset class, the facility or the fleet.

Keep the first step focused.

A single-asset pilot typically runs four to eight weeks from data access to a working dashboard.

Identify a pilot use case
Request a technical assessment

What part of your asset needs better visibility?

Tell us what you are trying to acquire, detect, manage or model. The assessment follows the same six-point framework used on every engagement.

Reviewed by SMEC automation, electrical and instrumentation engineers, not a generic sales queue.
We work from what already exists on site before proposing anything new.
Can start with one asset, one camera, or one workflow.
SMEC Oil & Gas Solutions LLC
+971 50 249 1903 · info@smecong.com
Middle East · Global Project Support
SMEC Automation Pvt Ltd
+91 86060 47714 · sales@smecong.com
India · Global Project Support
Technical enquiry

Tell us what you need

What are you evaluating? (select all that apply)
PDF, DOC, XLS, ZIP, DWG, JPG, PNG. Up to 5 files, 10 MB each.

A SMEC engineer responds within one working day.

FAQ

Common questions on asset digitalization.

Clear answers to the questions operators, engineering teams and asset owners typically ask before starting a digitalization project.

01 What is industrial asset digitalization?

Industrial asset digitalization uses sensors, industrial IoT, remote monitoring, asset management systems, AI video analytics and digital twins to improve visibility into the operation, condition and lifecycle of physical assets such as pumps, motors, compressors and generators.

02 What is remote asset monitoring?

Remote asset monitoring collects and displays equipment parameters such as temperature, pressure, vibration, current and running hours away from the physical equipment, supporting pumps, motors, compressors, generators, electrical systems and other critical equipment.

03 Which sectors are SMEC's platforms already deployed in?

Research centres, naval defence, upstream and downstream Oil and Gas, drilling services, state power utilities, solar power infrastructure, municipal water supply, marine and shipping, large leisure operations and manufacturing. Detailed client references are available on request under NDA.

04 Can existing PLC and SCADA data be used for remote monitoring?

Yes, in most cases. NexWave acquires from existing PLCs, SCADA systems, sensors and communication infrastructure over Modbus RTU and TCP, OPC UA, MQTT, Profinet, IEC 61850, IEC 60870-5-104 and similar industrial protocols. Acquisition is read-only by default and does not modify control logic.

05 Can existing CCTV cameras be used for AI video analytics?

In most cases, yes. NexView works over standard ONVIF and RTSP streams from existing cameras. Suitability depends on camera resolution, frame rate, placement, lighting and the specific detection use case, which SMEC checks during the site assessment before recommending any camera changes.

06 What is AI video analytics used for in oil and gas facilities?

AI video analytics applies computer vision to existing CCTV streams to detect defined safety and security events automatically — PPE non-compliance, restricted zone access, perimeter intrusion, fire or smoke indicators, loitering and unattended objects — and alert the relevant team through centralised video monitoring in real time.

07 Does the data have to leave the facility?

No. All four platforms can be deployed fully on-premise or at the edge, with no external connectivity. Private cloud and hybrid deployments are also supported where the operator prefers them. Deployment model is decided by the operator, not by the platform.

08 How does SMEC handle OT cybersecurity?

Data acquisition is read-only by default, the control system is not modified, and the monitoring network is segmented from the control network following IEC 62443 zone and conduit principles. Unidirectional data flow is used where the operator requires it. Access is role-based and audited.

09 What is the difference between preventive and condition-based maintenance?

Preventive maintenance is scheduled at fixed intervals regardless of equipment condition. Condition-based maintenance uses real equipment data such as vibration, temperature and current draw to decide when maintenance is actually needed. ProSet360 supports both, and NexWave supplies the condition data that makes the second possible.

10 Can brownfield plants be digitalized without replacing the control system?

Yes. Digitalization does not require replacing the control system. Existing PLC, SCADA, instrumentation, CCTV, sensors and engineering data are assessed first to identify what can be connected before anything new is proposed.

11 What is a digital twin used for in oil and gas?

A digital twin brings engineering data, operating data and maintenance history together into one model of a physical asset so behaviour can be tested, validated and predicted virtually. SMEC has delivered pump and motor twins in naval defence and a digital twin pilot for an upstream Oil and Gas operator, alongside unmanned vehicle and robotics simulation.

12 How do we start an industrial digitalization project?

Start with the asset problem rather than the technology: identify the equipment or process, the current visibility gap, the data already available, and the decision that needs to improve. SMEC reviews potential approaches from there, typically starting with a single pilot use case.

13 How long does a pilot take and what does it cost?

A single-asset or single-use-case pilot typically runs four to eight weeks from data access to a working dashboard. Cost depends on the number and type of assets, the parameters monitored, the sensors and connectivity already in place, and whether the deployment is on-premise or cloud. SMEC scopes this during the technical assessment rather than quoting a flat rate upfront.

14 What industries does SMEC Asset Digital Intelligence support?

Asset-intensive sectors including Oil and Gas, refineries and petrochemicals, offshore and drilling, marine and naval vessels, ports and terminals, power and utilities, water infrastructure, research and defence, and heavy industrial manufacturing across India, the Middle East and global project locations.

15 Why choose SMEC for asset digitalization?

SMEC combines over 25 years of electrical, instrumentation, automation and industrial-communication engineering with four platforms already running in research, defence, energy and utility environments. Digitalization is approached as an engineering problem first, not purely a software rollout, and delivery is supported from India through SMEC Automation Pvt Ltd and from the Middle East through SMEC Oil & Gas Solutions LLC.

Terms explained

Asset digitalization, defined.

Plain-language definitions of the terms used across this page, for engineering teams, procurement teams and search alike.

01 Industrial data acquisition
Reading measured values from field instruments, PLCs and SCADA systems at a defined sample rate, then timestamping and storing them so they can be trended and compared.
02 AI video analytics
Computer vision applied to existing CCTV streams to automatically detect defined safety or security events and alert the right team in real time.
03 Remote condition monitoring
Tracking vibration, temperature, current and pressure to establish how a machine is behaving, rather than assuming from its age or run hours — collected away from the equipment itself, so condition is visible without a site visit.
04 CMMS
A computerised maintenance management system: the asset register, preventive maintenance schedule, work orders, spare parts and maintenance history in one structured system.
05 Digital twin
A working digital replica of a physical asset combining engineering, operational and maintenance data, so its behaviour can be simulated, validated and predicted.
06 Brownfield digitalization
Adding digital visibility to an already-operating facility by connecting existing CCTV, PLC, SCADA and engineering systems rather than replacing them.
07 OPC UA
A vendor-neutral industrial communication standard for moving structured, secured process data between control systems and higher-level software.
08 IEC 62443
The international standard series for industrial control system security, including the zone and conduit model used to segment monitoring from control.
09 Predictive maintenance
Using equipment condition and operating history to flag when maintenance is likely to be needed, rather than relying only on fixed schedules or waiting for failure.
10 Industrial IoT (IIoT)
Sensors and connected devices on industrial equipment that feed operating data into a monitoring or analytics platform.

Pick the blind spot that costs you the most.

Then let us show you the data path that closes it.