Abstract
It is noted that the development of intelligent means of measuring qualitative indices is of topical importance. Since the quality of many substances is determined by optical methods, an algorithm for spectrophotometric data processing has been developed, which consists of primary data processing (stage I) and determination of qualitative indices of liquid products (stage II). Since the task of numerical determination of colour characteristics of transmittance coefficients of liquid samples is incorrectly set, it is recommended to use regularization methods of A.N.Tikhonov to improve metrological characteristics of the device. On the basis of regularization methods for solving incorrect problems, algorithms for restoring the hardware function of the spectral device are also developed. The criteria for comparison and selection of quality analyzers are given on the example of colour measuring devices. The use of artificial intelligence methods based on fuzzy logic algorithms and artificial neural networks in the computing device is also recommended.
First Page
44
Last Page
50
References
- Yusupbekov N.R., Mavlankariev B.A., Rajabova M.A. (1986). Quality control of food products by their colour. Obzor AgroNIITEIPP, 14(6), 1-26.
- Soloviev, V.A. (1987). Methods and devices for measuring colour characteristics of materials. Measurements, Control, Automation, 4 (64), 31-42.
- Rajabova, M.A., Mukhamedkhanov, U.T. (1999). Algorithmic support of information-measuring systems in tasks of colourimetric analysis. International Scientific-Theoretical and Practical Conference "Innovation-99", Termez, 336-339.
- Rajabova, M. A. (2005). Development of the system of cotton oil quality control by its colourometric characteristics. Chemical technology. Control and management. 4, 47-51.
- Radjabova, M.A. (2016). Optimization of Design Parameters of Spectral Type Colourimeter. Proceedings of Ninth World Conference on Intelligent Systems for Industrial Automation. Tashkent, October 25-27.
- Rajabova, M.A. (2000). Algorithms of calculation of colour characteristics in colourimetry tasks. Problems of Informatics and Power Engineering, 1, 55- 57.
- Muhamedhanov, U.T., Matyakubova, P.M., Radjabova, M.A. (2012). Ortinal correlation spectroscopy for remote containment detection. Seventh World Conference on Intelligent Systems for Industrial Automation. November 25-27 (II), 270-273.
- Rajabova, M.A. (2000). Calculation of thickness of corrective filters in colourimeters. Proceedings of the Karakalpak Branch of the Academy of Sciences of the Republic of Uzbekistan, 1, 59-65.
- Yusupbekov, N.R., Igamberdiev, H.Z., Gulyamov, Sh.M., Rajabova, M.A. et al. (2000). Device for determining the quality of liquid products. Patent UZ 2836 B G 01 N 21/47 30.11.2000.
- Rajabova, M.A. (2011). Measuring system for cotton oil quality control by colour characteristics. Kimoviy tekhnologii. Nazorat va boshkaruv, 3, 83-86.
- Rajabova, M.A., Mukhamedkhanov, U.T. (2012). Improving the accuracy of spectral measurements using regularization methods. Kimoviy tekhnologii. Nazorat va boshkaruv, 2, 46-49.
- Rajabova, M.A., Eshmatova, B.I., Babanazarova, N.K. (2021). Restoration of hardware function of spectral colourimeters using regularization methods. Nauka i tekhnika, 20(6), 487-492.
- Mukhamedhanov, U.T., Matyakubova, P.M., Radjabova, M.A., Shakhmardanova, G.S. (2006). Neural networks time series forecasting. Fourth World Conference on Intelligent Systems for Industrial Automation, b-Quadrat Verlag, 284.
- Rajabova, M.A., Umarova, Ch.H. (2005). Algorithms of construction of neural control systems for complex technological objects and basic requirements for intelligent agents. Chemical technology. Control and management, 5, 42-47.
- Yusupbekov, N.R., Aliev, R.A., Aliev, R.R., Yusupbekov, A.N. (2014). Intellectual systems of management and decision making. Tashkent: Uzbekistan Milliy Encyclopediasi Publishing House, 490 p.
Recommended Citation
Radjabova, Makhfuza Azimovna
(2023)
"IMPROVEMENT OF CALORIMETRIC QUALITY ANALYZERS FOR SUBSTANCES,"
Chemical Technology, Control and Management: Vol. 2023:
Iss.
6, Article 7.
DOI: https://doi.org/10.59048/2181-1105.1529
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