Friday, May 19, 2023

Successful Completion of "World No Tobacco Day 2023 世界無煙日 2023" on 17 May 2023

 


Successful Completion of
"World No Tobacco Day 2023 世界無煙日 2023" on 17 May 2023

We are thrilled to announce the successful completion of "World No Tobacco Day 2023" on May 17th. Our event aimed to raise awareness about the hazards of tobacco and promote a tobacco-free lifestyle. We discussed various topics, including tobacco hazard information, the harms of alternative smoking products, quit smoking methods, withdrawal symptom management, and simple office exercises.

"Colleagues watching introduction video of "No Tobacco Day"

We're delighted to see our colleagues enjoy the event with fruit and refreshment, and have smiles on their faces. As a certified caring company, we're committed to support vulnerable groups in society. We believe that everyone deserves access to health and wellness resources and are proud to promote a tobacco-free lifestyle to our colleagues and the wider community.

                   


   
"Our colleagues enjoy the event with fruit and refreshment, and have smiles on their faces."

Let's continue working together to create a healthier and happier world for everyone!"

 

For any query or concern, please call Mr. Bernard Tang at

Office : (852) 2117 3893
Mobile: 9343 7525 or
visit www.stmedia-asia.com.











Tuesday, May 9, 2023

Successful Completion of Round 35 – Psychrometric Chart & Fundamentals on 6 May 2023

 

Successful Completion of Round 35 –
Psychrometric Chart & Fundamentals on 6 May 2023


We're thrilled to announce the success of our Psychrometric Chart & Fundamentals course! Our expert instructors provided a practical introduction to psychrometry and the use of the psychrometric chart as a design tool, covering topics such as psychrometric fundamentals, design conditions, and psychrometric processes.


For those who were unable to attend, we welcome you to join our next training session. Our team of experts is always here to support your professional development and provide you with the latest insights and best practices in critical facilities and data center design.


Thank you again to all of our students, and we look forward to seeing you at our next training session!

 

For any query or concern, please call Mr. Bernard Tang at

Office : (852) 2117 3893
Mobile: 9343 7525 or
visit www.stmedia-asia.com.

Wednesday, May 3, 2023

Certificate of AIoT for predictive maintenance (13 hours, 2-day Certificate Course with examination)

 

Certificate of AIoT for predictive maintenance

(13 hours, 2-day Certificate Course with examination)


Course Outline


Part 1 - Introduction to Predictive Maintenance


- Overview of predictive maintenance and benefits
  (reduced downtime, increased productivity, lower costs) 
- Traditional reactive vs proactive maintenance approaches 
  (reactive = fix when breaks, proactive = prevent failures) 
- Key techniques used (vibration analysis, thermography, oil testing, etc.) 


Part 2 - Enabling Technology for Predictive Maintenance


- Role of sensors in collecting data for analysis 
  (temperature, pressure, vibration, acoustic, etc.)
- Importance of network connectivity and data analytics platforms
- How AI and machine learning power predictive analytics and insights
- Examples of AI models used 
  (supervised vs unsupervised learning, regression vs classification)


Part 3 - Benefits of AIoT for Predictive Maintenance


- Massive amounts of data from AIoT sensors enables exhaustive analysis (detect subtle changes) 
- Personalized recommendations based on historical performance data 
- Anomaly detection using machine learning 
  (detect when equipment deviates from normal operation) 
- Predictive forecasts of time to failure and ideal repair or replacement window 
- Optimization of maintenance schedules and budget based on AI generated insights 
- Reduction in unplanned downtime through AI driven predictive alerts and notifications 


Part 4 - Best Practices for Implementing AIoT Predictive Maintenance


- Selecting the right sensors and AI/ML models for your equipment and needs 
- Integrating data from multiple solutions and systems for comprehensive monitoring 
- Establishing a consistent and automated approach to data collection, 
  analysis and insights generation 
- Training models on high volume, high quality data to ensure maximum accuracy 
- Providing flexible and customized recommendations based on client specific requirements 
- Ensuring seamless human oversight and guidance of AI systems where needed 
- Optimizing tactics over time through experience, feedback, and continuous learning 


Part 5 - Summary and Conclusion


- Recap of key benefits of predictive maintenance and AIoT 
- Looking ahead at future potential, emerging technologies and use cases 
- Call to action for companies to adopt AIoT predictive maintenance at scale for real advantages 



Registration Details

Course Dates:        Schedule to be announced very soon

Language:              Cantonese (with English course materials)

Time:                      10:00 am ~ 5:30 pm

Venue:                    Venue to be announced very soon

Target Audience:   IT / Data Center Operations / Facilities Managers, Data Center Design                                                    Consultants, E&M Engineers, System Architects (Infrastructure), etc.

Fee:                         HK$12,000 per head (10% Early Bird Discount Available)

Enrollment:            Application Form

Certification:          Completion certificate can be granted upon pass in examination.


Should you have any enquiry, please feel free to contact (852) 2117 3893 / info@stmedia-asia.com. Kindly visit our website (www.stmedia-asia.com) for other technical training seminars.