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Validation of Measured Data at Kola NPP

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Validation of Automatically Measured Data on Kola NPP Power Units

Tech Area / Field

  • INF-SOF/Software/Information and Communications
  • MAN-COM/CAD and CAM/Manufacturing Technology

Status
3 Approved without Funding

Registration date
13.01.2005

Leading Institute
VNIIEF, Russia, N. Novgorod reg., Sarov

Supporting institutes

  • Kola NPP, Russia, Murmansk reg., Polyarnnii Zory

Collaborators

  • Universität Rostock, Germany, Rostock\nSCK-CEN, Belgium, Mol

Project summary

The Project is focused on the enhanced reliability of analog and digital parameters of the Kola NPP power units.

The objective of the Project is to develop mathematical models, software and databases to screen invalid analog and digital power unit parameters and to compile a database of reliable data.

Major attention during the Project implementation will be paid

  1. to the development of a database on the types of measured parameters and a validation and reliability assessment procedure;
  2. to the development of mathematical models for measured data reliability assessment;
  3. to the development of software to assess the reliability of automatically measured analog and digital data;
  4. to the verification of the mathematical models and the software;
  5. to the commissioning of the system.

The outcome of the Project will include:
  1. a mathematical model for measured data reliability assessment;
  2. interconsistent databases of fixed and variable settings, measured data groups, corrected parameters;
  3. software for measured analog and digital data reliability assessment.

The outcome of the Project can be used to control operational correctness of sensors, devices and equipment at the Kola NPP power units. In future, the mathematical model and the software can be extended to other NPPs. This methodology, the mathematical tools and the software can be used in complex management systems not only in the nuclear power industry, but also in other technology areas.

The objective of the Project is to enhance the reliability of measured data at the Kola NPP power units and, consequently, to improve the reliability and the efficiency of automated process control systems (APCS) of the NPP. The Project’s topicality and importance are evident taking into account possible consequences of incorrect representation and interpretation of Kola NPP power unit operation parameters.

The Project deals with the global risk category ‘Nuclear Safety’.

Efficiency of NPP APCS operation, along with other factors, depends, to a considerable degree, on the reliability of automatically measured data, because using invalid data may result in improperly computed technical and economic parameters, malfunction of inpidual modules and units, and, finally, in the discredit of the automated control system (ACS) on the whole. Therefore, of particular importance is to control the validity of measured data. This task consists of four milestones. Milestone 1 provides for the development of databases and database management software, milestone 2 is the development of mathematical models and reliability assessment software, milestone 3 includes its installation and implementation at the Kola NPP, verification and beta testing, and milestone 4 provides for data accumulation, verification and debugging of the software, issuing maintenance documentation and commissioning.

The overall Project effort is pided into twelve stages:

  1. Acquisition and delivery of hardware and software for the Kola NPP.
  2. Development of a database on the types of measured parameters and a validation and reliability assessment procedure.
  3. Development of a formalized algorithm for measured data reliability assessment.
  4. Determination of database structures and development of database maintenance software;
  5. Development of a database on equipment and measured parameters depending on operational conditions of power units (process characterization).
  6. Development of software to assess reliability of automatically measured analog and digital data.
  7. Verification of mathematical models and software using archival analog and digital data collected earlier.
  8. Beta testing of the system.
  9. Collection and analysis of reliable analog and digital data.
  10. Software debugging based on the outcome of beta testing.
  11. Issuance of maintenance documentation.
  12. Commissioning of the system.

Methodology

Reliability of automatically measured analog and digital data will be assessed as follows:

  1. determination of hardware composition based on digital parameters;
  2. digital data reliability assessment by analyzing the possible hardware composition;
  3. rough validation of analog data using settings bases;
  4. quorum validation of analog data using the theory of fuzzy sets;
  5. logging of validation results.

Theory of fuzzy sets will make it possible to formalize the grouping of the entire set of analog signals according to the method of validation and reliability assessment, to formalize logical links between measured signals, to provide quorum validation and to calculate the degree of fuzziness of each measured parameter. This will make it possible not only to form a list of invalid data and related equipment, but also to pick out sets of data with a growing degree of fuzziness (decreasing reliability) from the body of valid data. This, in turn, will enable taking preventive steps to reveal the reasons for reliability worsening and provide appropriate maintenance.

Expected scientific results of the Project

Scientific results of the Project will include the development of mathematical tools to provide quorum validation of measured data in complex management systems.

Expected practical results of the Project

  1. software development, including test software;
  2. development of validation procedures;
  3. professional development of the staff;
  4. risk reduction in the areas sensitive to uninterrupted power supply

The Project will result in the development of a software product to provide enhanced reliability of measured data at the Kola NPP power units, and, consequently, to ensure reliable and failure-free operation of the Kola NPP’s software and hardware. Economic and functional merits of reliable NPP operation are obvious.

Project participants have vast scientific experience in the area discussed. RFNC-VNIIEF specialists have considerable experience in mathematical modeling and development of automated control systems and software. Besides, key project participants have contributed to international projects and steering committees of international conferences on the theory of fuzzy sets and its applications in atomic science and nuclear technology (for example, «Development of an Intelligent System for Monitoring and Evaluation of Peaceful Nuclear Activities», IAEA, Vienna; «Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS)», Mol, Belgium). Proficiency of the project participants is evidenced by multiple publications in this area in foreign and Russian periodicals (Ryjov, A., Belenki, A., Hooper, R., Pouchkarev, V., Fattah, A. and Zadeh, L.A., Development of an Intelligent System for Monitoring and Evaluation of Peaceful Nuclear Activities (DISNA), IAEA, STR-310, Vienna, 1998, 122 p.; Ryjov A.P., G. de Cooman, D. Ruan. FLINS-related activities in Russia. Fuzzy Sets and Systems, 1995, N 1. p. 163 – 173; Ryjov A.P. Elements of the Theory of Fuzzy Sets and Uncertainty Measurement (in Rus.). M., Dialog-MGU, 1998, 116 p.). Some publications of the key project participants are listed in Annex I.

The Project provides opportunity for highly qualified specialists to redirect their skills from nuclear weapons development to management and nuclear safety problems. The core project team includes, among others, one Doctor of Sciences and three Candidates of Sciences.

The contribution from Foreign Collaborators includes assistance in commercializing the project results, participation in the analysis and validation of results, and exchange of information on the approaches and methodology used.


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