Data management - key to successs

Safety first.

  • IT monitoring
  • IDS - Intrusion Detection System
  • IPS - Intrusion Protection System
  • Honeypot
  • Context Awareness
  • Data diode
  • Enterprise log management

Report and process 24/365

Connect, share and evolve

  • ESB  - Enterprise Serial Bus
  • ERP/SAP Connector
  • EAI – Enterprise Application Integration
  • SOA – Service Oriented Architecture
  • OPC – OLE for Process Control

 Oil & rafinery

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Heavy Industry (Coal, Steel)

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Agriculture 

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Pharmaceuticals

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Telecommunication 

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Power Industry 

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Heat Industry 

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Energy & Natural Resources 

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Manufacture & Warehouse 

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Data management - key to successs

Safety first.

  • IT monitoring
  • IDS - Intrusion Detection System
  • IPS - Intrusion Protection System
  • Honeypot
  • Context Awareness
  • Data diode
  • Enterprise log management

Report and process 24/365

Connect, share and evolve

  • ESB  - Enterprise Serial Bus
  • ERP/SAP Connector
  • EAI – Enterprise Application Integration
  • SOA – Service Oriented Architecture
  • OPC – OLE for Process Control

 Oil & rafinery

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed purus ante, fringilla ullamcorper diam id, volutpat volutpat lectus. Nullam sed rhoncus magna.

Heavy Industry (Coal, Steel)

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed purus ante, fringilla ullamcorper diam id, volutpat volutpat lectus. Nullam sed rhoncus magna.

Agriculture 

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed purus ante, fringilla ullamcorper diam id, volutpat volutpat lectus. Nullam sed rhoncus magna.

Pharmaceuticals

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed purus ante, fringilla ullamcorper diam id, volutpat volutpat lectus. Nullam sed rhoncus magna.

Telecommunication 

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed purus ante, fringilla ullamcorper diam id, volutpat volutpat lectus. Nullam sed rhoncus magna.

Power Industry 

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed purus ante, fringilla ullamcorper diam id, volutpat volutpat lectus. Nullam sed rhoncus magna.

Heat Industry 

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed purus ante, fringilla ullamcorper diam id, volutpat volutpat lectus. Nullam sed rhoncus magna.

Energy & Natural Resources 

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed purus ante, fringilla ullamcorper diam id, volutpat volutpat lectus. Nullam sed rhoncus magna.

Manufacture & Warehouse 

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STO - Steam Temperature Control

The STO system is an advanced control system that improves quality of steam temperature control. The system monitors such parameters like boiler load change, etc., and based on mathematical model calculates correction to steam temperature setpoint. It compensates influence of disturbances to provide stabilization of steam temperatures. 


Additionally, the STO system monitors spray valve position at steam attemperators and calculates correction to steam temperature setpoints if some of valves are fully closed of fully opened.

The system can operate in advisory as well as closed-loop mode. It is able to calculate corrections to steam temperature setpoints in advance according to certain change of the boiler load


The goal of advanced steam temperature regulation is to use advanced algorithms based on mathematical models to improve the quality of control. In a classical approach every section of steam superheaters is regulated by a separate PID cascade consisting of a master and secondary controllers.


A certain improvement can be done by making the parameters of the regulator (gain, integration constant, differentiation constant) variable and dependent e.g on boiler load. Such a setup is however good mostly for boilers working in steady state i.e. the setpoint changes rarely and in a smooth way. For such boilers the quality of regulation may be satisfactory – the difference between the measured and set value of the steam after the superheater is not significant.

A completely different situation occurs in peak-load boilers when applying a PID cascade. For a dynamically changing setpoint the discrepancy between the setpoint and the actual temperature can be often as high as 15-20°C.

Figure – The influence of the change of power output setpoint (MW) on the temperatures of live steam on the left and right side of the boiler.

Thanks to the advanced algorithms that employ mathematical models the quality of regulation can be greatly improved. Especially the model of the influence of a disturbance on the measured temperature plays an important part. Thanks to this the system, when detecting a change, can react by changing the setpoint of the slave controller to minimize the effect of the disturbance on the measured temperature. This differs in an important way from the classical approach in which the system reacts only when a disturbance is detected. The diagram below depicts a DMC (Dynamic Matrix Controller) realizing advanced regulation tasks compared to the standard solution.

Figure – Standard steam temperature regulation system. a); Advanced steam temperature regulation system. b)

The diagram above presents advanced control structure on the b) part using the DMC algorithm. This model relies on dynamic mathematical models of the controlled signal (CV – Controlled Variable) in function of the control (input) signal (MV – Manipulated Variable) and the disturbance (DV – Disturbance Variable). DMC is a standard algorithm, a member of the MPC group – Model Predictive Control.