Data Aggregation with Building Automation Controllers

Industrial IoT solutions have changed the way factories work and have helped in increasing efficiency and productivity output. The “smart factory” concept is helping the factory or shop floor management to gain access to critical information relating to the machineries and equipment. The benefits ranged from hidden costs being exposed to enhanced worker safety.

Data aggregation through connected machines

Connected machines and equipment can be monitored for any abnormal working and issues can be proactively fixed timely.  IoT driven smart machineries offers less composite, improved performance and reduced cost for process control and data acquisition. The data coming from these machineries can be aggregated using edge computing techniques. Data aggregation at the shop or factory floor basically should include relentless analyzing and visualization of vital data, which should trigger appropriate actions by the end-user.

Immediate benefits for data aggregation in device management

  • Incorporated access control
  • Single point of integration
  • Visualization dashboards
  • Swift and low cost deployment
  • Less operation downtime
  • Lower energy costs
  • Better equipment insights
  • Optimal capacity planning based on trend analysis

Working with Building Automation Controllers

Our team at WeMakeIoT has been handling building and factory automation projects for the last couple of years. We have been perrforming I/O functions with the Programmable Automation controllers like T3000 and managing & aggregating the data coming through the same. We have also expertise in building real time dashboards for plotting the aggregated data coming from the deployed controllers. These connected applications would help in analyzing the data and visualize them in a simple and productive way.

Controllers like T3000 already have hardware capability to interface with local network and can be termed as network ready. These modern controllers coupled with wireless networks can provide the optimum results. A proper implementation procedure is necessary to proactively detect downtime. Use of IoT standard protocols like MQTT, COAP etc. expands the competences of controllers over cloud.  We have proficiency in handling runtimes and services in cloud platforms like AWS, IBM Cloud etc. to manage the data coming from the controllers