How many tags can HanPrism process with a single server?

A single HanPrism server can support a maximum of 462,000 tags (of which 262,000 are binary event tags).

How many systems can the HanPrism gateway communicate with simultaneously?

The gateway can communicate with 128 systems simultaneously.

What is the maximum number of tags the gateway can process?

The gateway can process a maximum of 1 million tags.

Can HanPrism send control orders to the DCS?

HanPrism is a monitoring software solution. It only reads the data from DCS via an OPC interface. It does not send any control commands to your DCS system.

How many user accounts can be created?

The number of user accounts is not limited by HanPrism.

What happens to my real-time data when the network fails?

The HanPrism gateway keeps 1 month of data in buffer. If the network fails, when you re-connect, the gateway will automatically update the existing data in its buffer to the historian engine.

Can someone hack my data source through HanPrism?

No. We only support one-way network configuraton from the gateway to the HanPrism server. Nothing can be sent from the HanPrism server to the data source.

How does HanPrism connect with my DCS, SCADA, or PLC?

HanPrism can get data via OPC connectivity or directly collect data from the DCS, SCADA, or PLC through driver interfaces.

Does HanPrism have a web or mobile version?

Yes, we provide HanPrism Insight, which supports a web browser and soon all mobile devices.

Can the existing historian data be brought into HanPrism?

Yes, we have developed special tools to convert your existing data into the HanPrism data structure without loss.

How long is the scan interval?

The data scan intervals are: event data minimum 1 ms, analog data minimum 10 ms.

Why is HanPHI needed?

Most breakdowns, approximately 89%, are unrelated to the lifespan of the equipment. For effective plant operation, early warning of issues not related to the age of the equipment is necessary.  HanPHI enables a plant to perform predictive maintenance through the identification of breakdown symptoms in their early stage.

How many tags can HanPHI process with a single server?

HanPHI can process 5,000 tags with a single sever.

How long is the scan interval?

The data scan intervals are: event data minimum 1 ms, analog data minimum 10 ms.

How long is the predicted value calculation interval?

The predictive value calculation interval is minimum 100 ms.

How accurately can HanPHI predict the data?

HanPHI models are built using robust mathematical algorithms and several recursive calculations are performed to verify the calculated results. The accuracy of the predicted result approaches 100% accuracy.

Can HanPHI process data without loss?

Yes. Every data point is scanned at buffered at very high speed. Each and every piece of data is timestamped with the quality. There is no loss of data even though several hundred thousand events occur at the same time.

What type of database program does HanPHI use?

HanPHI uses a relational database for storing static information only.

Should I rebuild the prediction model after equipment maintenance or O/H?

Yes. After equipment maintenance and O/H, there may be changes in equipment parameters or the equipment may be replaced.

How is the health index calculated in HanPHI?

HanPHI can read and analyze the historical normal conditions of all plant equipment to predict the expected normal condition of all plant equipment. HanPHI measures the difference between the real-time and expected normal operating condition to calculate the health index in terms of a percentage value. A higher health index represents a better health status of plant equipment.

What is the HanPHI Trend? How can a user utilize the HanPHI Trend?

The Trend is a graphical representation of changing plant conditions and tag values. The Y-axis of trend shows the tag value of the plant and the X-axis shows the time. The trend is very useful to find out the development of a fault in the plant equipment. Using the trend display, you can view the behavior of tags from the same SuccessTree group, model group, or a group you created.

What kinds of anomalies can HanPHI detect in advance?

HanPHI can detect potential equipment failure, process failure, sensor failure, and improper training models in advance.

Is there a minimum learning period of past data for forecasting model construction?

It is ideal to construct the learning model by reflecting the normal plant operation for one year of data that takes seasonal change and equipment lifespan into account. However, HanPHI is able to generate a model adjusted to the purpose of a user by setting the learning period and range for as little as one day.