R. Szulim

On case-based control of dynamic industrial processes with the use of fuzzy representation

Abstract Model-based diagnostics and control of industrial processes has become even more popular nowadays. To this end, a model of the given (dynamic) process is needed. However, there are several objects involved in processes, which may both cause severe problems when they are subject to a model, thus making a model-based approach inapplicable. An example of such an object is an electric furnace for reduction of copper from slag. Research focused on creating an analytical model of this object was unsuccessful. Therefore, the authors proposed a new approach based on case-based reasoning (CBR). Knowledge among the system is carried by selected realizations of the dynamic non-stationary process. Signals and attributes measured in initial state of the process, during its course and at some control points, are represented using a special process-oriented method that allows reducing unnecessary information. A special fuzzy similarity measure was introduced for efficient search of resembling examples. Properties of both the system of data representation and similarity measure are controlled by means of multiple parameters. To assure sufficient performance of the CBR system, an evolutionary algorithm was efficiently used. The paper ends with some exemplary results obtained by means of software, which implements the developed methodology.

Communication structures and data processing in AMI systems

According to EC directives and widely accepted ESMIG (European Smart Metering Interest Group) communication model, AMI (Advanced Metering Infrastructure) system should provide bi-directional and secure communications via standard interfaces and with the standard data format, between utility service providers and digital meters and two-way communication between meters and customers. While the solution of a two-way communication between digital meters and service providers is now not too much problem, proposing a solution to meet the second requirement is not so obvious. The problem is not due to lack of technical capacity, but some of the consequences of proposed solutions. This paper presents the chosen communication structures dedicated to AMI system and scalability to ensure that they will be ready to introduce the concept of distributed processing for individual structures. Measurement data processing strategy is another dilemma in AMI systems. Due to the fact that these systems will provide the basis for Smart Grids, the solutions to the measurement data that will be used not only for billing purposes, has a significant impact on the reliability of the whole system and affects the load paths of communication.

Load Shedding Analysis in Local Energy Management Systems

In the paper load shedding time analysis in Buildings Energy Management Systems are presented. Influence of the communication system structures on the data exchange duration is analysed and its results for a few communication structures are presented. Streszczenie. W artykule przedstawiono analizy czasowe operacji redukcji obciążenia w budynkowych systemach zarządzania energią. Przeanalizowano wpływ struktury systemów komunikacyjnych na czas trwania wymiany danych wraz z wynikami dla kilku przykładów struktur. (Analizy czasu zrzutu obciążenia w lokalnych systemach zarządzania energią)

Reduction of peak energy demand based on smart appliances energy consumption adjustment

In the paper the concept of elastic model of energy management for smart grid and micro smart grid is presented. For the proposed model a method for reducing peak demand in micro smart grid has been defined. The idea of peak demand reduction in elastic model of energy management is to introduce a balance between demand and supply of current power for the given Micro Smart Grid in the given moment. The results of the simulations studies were presented. They were carried out on real household data available on UCI Machine Learning Repository. The results may have practical application in the smart grid networks, where there is a need for smart appliances energy consumption adjustment. The article presents a proposal to implement the elastic model of energy management as the cloud computing solution. This approach of peak demand reduction might have application particularly in a large smart grid.

IoT-based flood embankments monitoring system

In the paper a concept of flood embankments monitoring system based on using Internet of Things approach and Cloud Computing technologies will be presented. The proposed system consists of sensors, IoT nodes, Gateways and Cloud based services. Nodes communicates with the sensors measuring certain physical parameters describing the state of the embankments and communicates with the Gateways. Gateways are specialized active devices responsible for direct communication with the nodes, collecting sensor data, preprocess the data, applying local rules and communicate with the Cloud Services using communication API delivered by cloud services providers. Architecture of all of the system components will be proposed consisting IoT devices functionalities description, their communication model, software modules and services bases on using a public cloud computing platform like Microsoft Azure will be proposed. The most important aspects of maintaining the communication in a secure way will be shown.

Communication structures and time dependency analysis in Buildings Energy Management Systems

In the paper time analysis of the data communication in Buildings Energy Management Systems are presented. Influence of the communication system structures on the data exchange duration is analysed and its results for a few communication structures are presented.

Application of the DiaSter System

The functions of the DiaSter system are realized by means of specialized user packages. These packages cooperate by means of the system software platform. Particular packages can be developed as specialized libraries of modeling, system variables processing and visualization modules or as stand-alone software modules. Individual packages or a specified set of packages can be used to implement particular tasks connected with process modeling, supervisory control, optimization and diagnostics. The functions of individual packages complete each other, giving the possibility to realize even more complex tasks.

Knowledge Discovery in Databases

Contemporary SCADA systems allow collecting huge amounts of data that originates from diverse data sources. There are at least two groups of such sources:

Mining Knowledge About Process Control in Industrial Databases

In the paper concept of using industrial databases to discover knowledge about process control is shown. A simplified description of a copper furnace and its internal processes is presented. A concept of building data warehouse based on archive data that came from industrial SCADA systems is discussed. Some examples of techniques used for processing very large databases are presented. A concept of knowledge discovery about dynamic industrial processes that are of strong stochastic nature is shown. Finally, a concept of knowledge-based expert system designed to help in operation and control of the industrial object is described.