Controller Area Network Solutions

29/08/2026

CAN FD is becoming the practical upgrade path for many systems, while CAN XL is shaping up as a future backbone for more complex CAN, CANopen and J1939 architectures.

The key point is not to replace a stable CAN network simply because a newer protocol exists. Use CAN FD where larger payloads, faster diagnostics or firmware transfer justify it, and design new machines so future CAN XL integration does not require major rework.

Our latest article includes a simple decision matrix for machine builders and system integrators, plus the latest CAN technology watch from CiA.

Dr Tang’s view: stop creating architectural dead ends rather than chasing protocol upgrades for their own sake.

CAN FD adoption is accelerating while CAN XL is emerging as a backbone technology for mixed CAN, CANopen and J1939 architectures. The practical 2026 strategy is not a wholesale replacement: deploy CAN FD where it solves real bandwidth and diagnostic problems now, and design new systems so CAN XL can...

28/08/2026

EECA 2024 has changed the way Malaysian plants should think about energy management.

A monthly utility bill tells you how much energy was used. It usually does not tell you why.

The more useful approach is continuous energy intelligence: correlate energy use with production, equipment state, operating conditions and abnormal behaviour so engineers can identify the cause—not just the consumption.

Read the full article and contact CANS if you want to discuss a practical implementation path.

Malaysia’s EECA 2024 has raised the standard for energy management. For industrial plants, compliance should not stop at periodic reporting. Continuous energy intelligence can turn regulatory obligations into lower operating cost, better asset visibility and stronger management decisions.

28/08/2026

19/06/2026

Happy Dragon Boat Festival!

31/05/2026

Happy Vesak Day! May your life be filled with harmony, love, and serenity.

27/05/2026

We are looking for an Industrial Software Engineer to join us, physically.

This role is for someone who likes software, but also enjoys seeing how things work in the real world, such as machines, production lines, inspection systems, factory data, automation, and engineering processes.

The work will involve developing software for industrial and manufacturing applications. This may include inspection systems, reporting tools, traceability, dashboards, system integration, and other practical solutions used by engineers, QA teams, operators, and production users.

We are not looking for someone who only wants to follow fixed instructions, nor someone love hiding behind the computer. We prefer someone who is curious, willing to learn, and able to think through problems properly.

You should be comfortable with software development, databases, APIs, and basic system design. Experience in Python, C #, .NET, JavaScript, SQL, machine vision, PLC, SCADA, MES, IoT, or automation would be an advantage, but attitude and problem-solving ability are just as important.

Fresh graduates with the right mindset are welcome to apply.

The person we are looking for:
• Enjoys solving practical problems
• Can work with both software and engineering teams
• Is willing to go into details and understand the actual user problem
• Can build software that is simple, reliable, and useful
• Has interest in industrial automation, manufacturing, or digital transformation

Company: Controller Area Network Solutions (M) Sdn Bhd
Location: Puchong, Selangor
Position: Industrial Software Engineer

Interested candidates can send their CV to [email protected].

If you know someone who may be suitable, feel free to share this with them.

26/05/2026

Selamat Hari Raya Haji! May peace, happiness, and prosperity fill your home.

14/05/2026

Everyone knows Raspberry Pi, and yes, Raspberry Pi is great. It is fantastic for learning, prototyping, dashboards, proof-of-concept work, data collection trials, and small edge experiments. That is exactly where it shines.

But let’s be honest.

A Raspberry Pi is not an industrial PLC. It is not an industrial PC. It is not a proper edge controller for serious factory automation. In real production environments, the weaknesses of Raspberry Pi start to show very quickly.

Factories are not friendly places. There is heat, electrical noise, power dips and surges, vibration, dust, and 24/7 operation. There are also operators, maintenance teams, production targets, and downtime costs to think about.

A Raspberry Pi may have a capable processor, but industrial automation needs much more than that. You need proper power protection, safe recovery after power failure, hardware watchdogs, isolated industrial I/O, EMC/EMI immunity, wide temperature tolerance, deterministic control behaviour, cybersecurity hardening, documentation, certification, spare parts, and often overlooked, long-term support.

This is where Raspberry Pi becomes risky.

The low hardware cost of Raspberry Pi looks attractive at the beginning, but the real cost often comes later. Who are you going to call for support when there is an unexpected shutdown, a corrupted SD card, an unstable power supply, a noisy signal, a difficult troubleshooting issue, or a production line that has stopped for hours?

Suddenly you find the “cheap solution” is no longer cheap. It may end up costing far more due to production loss, maintenance effort, and downtime.

Use Raspberry Pi where it fits. such as learning, testing, dashboards, prototypes, and non-critical experiments. But for real factory automation, use industrial hardware that is designed for industrial environments. Because in production, reliability is not optional.

At CANS we helps manufacturers build real automation systems that are robust, maintainable, and ready for real factory conditions.

11/05/2026

Industrial automation is moving beyond “monitoring” into intelligent, connected optimisation.

Recent automation industry coverage highlights a strong trend: HMI/SCADA platforms are increasingly integrating IIoT sensors, energy meters, wireless transmitters, edge computing, cloud analytics, MQTT/OPC UA connectivity, and emerging AI capabilities. The result is a more connected plant floor — where production, equipment health, energy usage, and maintenance signals can be viewed together in real time.

For manufacturers, this means:

- Earlier detection of abnormal vibration, temperature, or energy patterns

- Better OEE visibility across machines and lines

- Faster response to downtime risks

- Stronger foundation for predictive maintenance and AI-driven optimisation

- Clearer data for management decisions

At CANS, this direction aligns closely with our work in industrial automation, SCADA, Smart MES/OEE, cloud monitoring, energy monitoring, analytics, and digitalisation — helping plants turn operational data into practical action.

The future factory is not just automated. It is connected, measurable, and increasingly intelligent.

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20/03/2026

To all Muslims, Selamat Hari Raya.