Streaming
This is a live demonstration of periodic data access from an internet connected device then presenting the results of the interaction on this page (client).
Techniques used for this demonstration can be used with any common web browser without the need of extensions or special applications. Transactions with the remote device (eWon) are possible because it registers dynamically with M2Web providing the information necessary to locate the eWon on demand.
When a client / consumer needs to interact with an eWon the server requires the eWon credentials, eWon ID and the remote procedure to execute. Once the server has this informtion the requested action takes place
If the simulation is not streaming data press the "Mode" button below the landfill gas (LFG) flare image.
Flare Mode
Once data is delivered to the page it can be used to animate objects as above or with third party API’s. Displayed here is typical regulatory data on a line chart. The chart is delivered through the google charts API. Allowing to quickly deploy data visualization in a variety of formats.
Flare Sim Description
Flare operation is simulated thru programs/scripts executing on the eWon. These scripts produce flare functions, operation and processes for this demonstration. Virtual flare scripts executing on the eWon produces data similar to real equipment. Data from the virtual flare is used to provide a realtime streaming experience through visualization and interaction with the eWon as remote equipment.
Historical Data
SQL Data Retrieval Demonstrations
For this demonstration the current date and time are used to generate starting and ending dates 1 day in the past. These dates are used to acquire one hour of data from the SQL database then presents it in the table below.
Part of the remote equipment demonstration is data collection. Real world landfill operation requires proof of gas destruction. Owners capture relevant data (gas flow and burner temperature) proving destruction of the gas. Typical sample period is 10 to 15 minute intervals.
Virtual flare data is collected from M2M servers once every 24 hours then stored in a SQL database. A built in function of the eWon is to push data to M2M servers on a user defined schedule. For this eWon it is once every 10 minutes. M2M retains or buffers data upto 10 days or until the buffer is full where the oldest data is overwritten. This offers the ability to collect data at will from the M2M server and unloads the hosting server from the constant polling that would otherwise have to be managed.
Some feature not discussed were alarm notification via phone (virtual autodailer), text, email and remote access of the attached equipment.
Aside from the features demonstrated this device (and others like it) provide LAN and serial access over a secure VPN tunnel offering a complete solution for remote support. All equipment attached to the eWon communication ports can be accessed alleviating the need to travel to site for common programming and configuration updates saving time and money.
Conclusion
These are just a few ways to present data collected from an internet appliance. Once quality data is collected it can have analytics or artificial intelligence applied to extract useful prediction of process and maintenance issues.Remote connectivity is extended to the local area network and serial devices at the location. An eWon has all of the resources needed to access devices to assist troubleshooting, process tuning and program updates. eWon includes several poplar fieldbus protcols that permit the eWon to interface with programmable controllers and smart devices enabling it to act as a gateway across different protocols and for data collection. The public connection is secured via VPN.
Time and money is saved not only for site visits but for improved quality of maintenance and operation provided by analytics applied to the stored data
Flare Guy