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To address the inefficiencies and significant inaccuracies of conventional coal slurry water concentration detection methods in coal preparation plants, a detection device utilizing a photoelectric approach has been developed. This device employs photoelectric sensors, temperature sensors, and a microcontroller unit (MCU) to measure the voltage of the slurry water, subsequently calculating the corresponding concentration value through a mathematical model that correlates the concentration of coal slurry water with the sensor output voltage. The research findings indicate that the concentration detection system can identify concentration signals in real time, incorporating data processing, software calibration, and temperature adjustment functionalities. The detecting system can precisely measure the concentration of coal slurry water within the range of 0-20 g/L. The concentration detection gadget operates and is cost-effective to produce, addressing the limits of conventional detection methods while enhancing the efficiency and automation of coal selection.
Rocznik
Tom
Strony
art. no. 202450
Opis fizyczny
Bibliogr. 20 poz., rys., tab., wykr.
Twórcy
autor
- School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
autor
- School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
autor
- School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
autor
- School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
autor
- School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
Bibliografia
- CHEN J., SHANG H., LING Y., et al., 2024. Influence mechanism of Fe3+ doping on the hydrophobic regulation of kaolinite/water interface: Experiments and MD simulations. International Journal of Mining Science and Technology, 4(11), 1575-1586.
- CHEN J., ZHANG Q., YANG L., 2014. Current status and development trend of coal slurry water concentration detection. Coal Technology, 33(11), 253-255.
- DENG J., ZHANG X., LIN Z., et al., 2017. Research on automatic dosing system of coal slurry water based on photoelectric measurement. Clean Coal Technology, 23(2), 92-97+102.
- KONG C., WANG Z., CHANG J., 2015. Design and realization of photoelectric turbidity meter based on stm32 microcontroller. Journal of Jiangsu Second Normal College, 31(3), 13-17, 124.
- LI X., CHEN Y., JIANG J., et al., 2016. Estimation and analysis of suspended sand concentration based on turbidimeter and ADCP. Marine Science, 40(6), 89-94.
- LI Z., GUO J., DING S., et al., 2020. Design of water turbidity detection system based on stm32 for optical transmission method. Optical Instruments, 42(2), 80-86.
- LIN X., LIU H., LU W., et al. 2022. Design of coal slurry water concentration detection system based on differential pressure method. Shanxi Coking Coal Science and Technology, 46(3), 34-36.
- LIU D., HOU Z., HU B., et al. 2023. Measurement method of dust concentration surface dimension distribution based on ccd image. Journal of Heilongjiang University of Science and Technology, 33(1), 99-102.
- SHENG B., YIN B., YU J., 2019. Design of turbidity detection system based on scattering method and transmission method. Mechanical and Electrical Engineering, 36(8), 771-776.
- SHI Z., ZHU H., OU Y., ZHUO M., et al., 2022. Study on the relationship between suspended solids concentration and turbidity of Han River raw water in Wuhan. China Water Supply and Drainage, 38(21), 51-56.
- SUN M., LV Z., XU Z., et al., 2024. Utilizing spatio-temporal feature fusion in videos for detecting the fluidity of coal water slurry. International Journal of Mining Science and Technology, 34(11), 1587-1597.
- TIAN J., 2014. Research on ultrasonic detection technology of coal slurry water concentration. China University of Mining and Technology (Beijing).
- WU R., 2023. Application of online monitoring system of coal slurry water concentration and concentration gradient in thickener. Shanxi Coking Coal Science and Technology, 47(2), 32-34.
- YANG X., LI B., QIAO S., 2023. Design and application of ultrasound-based technology for detecting the concentration of coal slurry water. China Coal, 49(10), 88-94.
- YU K., DONG Z., GU M., 2022. Research on water quality monitoring system based on stm32. Jiangsu Science and Technology Information, 39(17), 46-49.
- ZHANG L., LIU H., LU W., 2023. Design of coal slurry water concentration detection device based on capacitance method. Shanxi Coking Coal Science and Technology, 47(11), 26-29, 51.
- ZHANG Q., LIU H., LI Z., et al. 2022. Real-time detection system of suspended solids concentration in thickening pond based on membrane cartridge tension sensor. Coal Technology, 41(9), 239-242.
- ZHAO J., ZHANG W., ZHANG X., 2024. Design and realization of turbidity transmitter with temperature compensation. Value Engineering, 43(3), 101-103.
- ZHU Z., LU Y., 2019. Ultrasonic sensing technology of coal slurry water deposition interface in coal concentrator of coal preparation plant. Clean Coal Technology, 25(5), 162-166.
- ZHU Z., ZHAO B., TIAN C., et al., 2024. Plasma pretreatment to enhance the sedimentation of ultrafine kaolinite particles: Experiments and mechanisms. Journal of Water Process Engineering, 59105012.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-77ce1868-d281-41b2-9b70-f96ba18b442d
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