Industry Application

A leading heat furnaces manufacturing company was looking to enable industry 4.0 principles though the implementation of Industrial Internet of Things (IIoT). In the current set up the machines were connected to the PLC system through sensors to access critical parameters in real time. The system was locally connected to a SCADA system for visualization and reporting and some parameters were entered manually by the operator.

With Thingstel’s Industrial Solution the customer was able to remotely monitor the status of the machines, get alters/notifications for alarm triggers and have a predictive maintenance model to do a future prediction for any anomalies. A partner device is used to collect all machine parameters from the PLCs and push it to the cloud for storage, retrieval and further analysis. With the use of a Mobile and a Web Applications operators/users would be able to access important data in near real time. Notifications for alarm triggers would be provided in the application. By collecting data over time, Thingstel has built a machine learning model on Google TensorFlow to do process and maintenance related predictions.

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On customer profiles, most OEMs and manufacturers will find a use for Thingstel’s solutions as they look to enable “Digital Transformation” for their products/services. Similar setups can be used for any process driven industries like STEEL, PLASTIC, TEXTILE, PAPER, PACKING, FOOD and BREWING applications.

Controlled Environment Application

Thingstel is currently working on a ‘Controlled Environment Agriculture’ (CEA) solution in collaboration with one of India’s largest Aquaponic setup. Thingstel’s solution will support remote monitoring and predictive maintenance of the entire site. The solution enables remote monitoring for CEA with water sensors for pH, Dissolved Oxygen, Temperature, Flow rate and greenhouse sensors for Temperature, Humidity, Light, Pressure and Dust. All data when mashed-up provides better visibility. Using AI based machine learning we will bring in predictive angle to the setup to avoid breakdown and improve quality.

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Similar setups can be used for any AGRICULTURE, STORAGE or LIVESTOCK controlled environments. Thingstel’s platform enables remote monitoring for any “Controlled Environment” with sensors to monitor their critical parameters and bring in predictive angle to improve quality of output.

Industry Application

A leading heat furnaces manufacturing company was looking to enable industry 4.0 principles though the implementation of Industrial Internet of Things (IIoT). In the current set up the machines were connected to the PLC system through sensors to access critical parameters in real time. The system was locally connected to a SCADA system for visualization and reporting and some parameters were entered manually by the operator.

With Thingstel’s Industrial Solution the customer was able to remotely monitor the status of the machines, get alters/notifications for alarm triggers and have a predictive maintenance model to do a future prediction for any anomalies. A partner device is used to collect all machine parameters from the PLCs and push it to the cloud for storage, retrieval and further analysis. With the use of a Mobile and a Web Applications operators/users would be able to access important data in near real time. Notifications for alarm triggers would be provided in the application. By collecting data over time, Thingstel has built a machine learning model on Google TensorFlow to do process and maintenance related predictions.

agsdi-bookmark-star

On customer profiles, most OEMs and manufacturers will find a use for Thingstel’s solutions as they look to enable “Digital Transformation” for their products/services. Similar setups can be used for any process driven industries like STEEL, PLASTIC, TEXTILE, PAPER, PACKING, FOOD and BREWING applications.

Controlled Environment Application

Thingstel is currently working on a ‘Controlled Environment Agriculture’ (CEA) solution in collaboration with one of India’s largest Aquaponic setup. Thingstel’s solution will support remote monitoring and predictive maintenance of the entire site. The solution enables remote monitoring for CEA with water sensors for pH, Dissolved Oxygen, Temperature, Flow rate and greenhouse sensors for Temperature, Humidity, Light, Pressure and Dust. All data when mashed-up provides better visibility. Using AI based machine learning we will bring in predictive angle to the setup to avoid breakdown and improve quality.

agsdi-bookmark-star

Similar setups can be used for any AGRICULTURE, STORAGE or LIVESTOCK controlled environments. Thingstel’s platform enables remote monitoring for any “Controlled Environment” with sensors to monitor their critical parameters and bring in predictive angle to improve quality of output.

Thingstel

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