Machine Optimization

Machine Optimization Solution not only increases the performance of every device in the entire system but also acts as an intermediary connecting device and interacting with users.

  • Monitoring and controlling devices remotely.
  • Data collection and storage.
  • Data visualization dashboard.
  • Automatic alarm system.
  • Scheduled device management (Including software and configuration updates).
  • High security (Supported by leading IoT platforms).
  • Applied Cloud computing, AI, Big Data.
  • High scalability and reliability.
  • No need for server and microserver.
TMA Innovation Smart Food Dryer optimized with Artificial Intelligence/Machine Learning (AI/ML)
TMA Innovation Smart Clothe Dryer optimized with Artificial Intelligence/Machine Learning (AI/ML)

Benefits

  • Quick customization.
  • Improve data details.
  • User-friendly, highly intuitive.
  • Save time for management.
  • Low price.
  • Integrated back-end system.
  • Energy saving.
  • High economic efficiency.
  • Increase the machine’s lifespan.
  • Reduce equipment breakdowns.
  • Reduce CO2 emissions.

Application

Hospital/Clinic Icon

Clinics, hospitals

Apartment/Building Icon

Buildings, apartments, offices

Airport Icon

Train stations, airports

Power Plant Icon

Factories and industrial plants.

Operating model

Step

1

Analyze the requirements and purposes of the task

 

Step

2

Identify solutions

 

Step

3

Apply appropriate technology

Step

4

Edge data secured processing

  • Collect data
    • Standard framework for extracting device data.
    • Ready to connect mobile devices to the provided SIM in advance.
  • Process data
    • Buffer, filter, correlate, store and forward device edge data.
    • Assemble on the event stream.
  • Manipulate data
    • Combine edge data, cloud and third party.
    • Define processing rules both in the cloud and in border with JavaScript.

Step

5

Optimizing machine performance

  • Analyze historical and experimental data.
  • Optimize the operation of the device.
  • Improve performance, customize energy use and continually self-improve.

Step

6

Predictive maintenance

  • Analyze historical and real-time data.
  • Predict future failures.
  • Eliminate unplanned downtime, Reduce unnecessary maintenance costs, Improve machine lifespan. Reduce spare parts costs.

Technology

  • AI/ML.
  • IoT.
  • Big Data.
  • Cloud computing.
  • Fuzzy Logic.
  • Feature Engineering.