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Research and application progress of judging the performance of flocs based on image processing in water coagulation
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Shangke GUO1, Junwen GUO2, Changbi WEN1, Borun LI1, Weizhong TENG2, Xiaowei JIANG1, Decai ZHANG1, Yue QIAO2
Thermal Power Generation | 2024, 53(5) : 1 - 9
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Thermal Power Generation | 2024, 53(5): 1-9
• Power plant chemistry and materials research •
Research and application progress of judging the performance of flocs based on image processing in water coagulation
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Shangke GUO1, Junwen GUO2, Changbi WEN1, Borun LI1, Weizhong TENG2, Xiaowei JIANG1, Decai ZHANG1, Yue QIAO2
Affiliations
  • 1.Huaneng Hainan Power Generation Co., Ltd. Dongfang Power Plant, Dongfang 572633, China
  • 2.Xi’an Thermal Power Research Institute Co., Ltd., Xi’an 710054, China
Published: 2024-05-25 doi: 10.19666/j.rlfd.202310169
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Raw water pretreatment can be divided into three stages: coagulation, sedimentation and filtration. The flocculation process directly affects the structure of alum and the turbidity of effluent. At present, the method of measuring the turbidity of the effluent is usually used to control the dosage of coagulant, but due to the time lag, it can not quickly reflect the coagulation effect and adjust the dosage of the feedback. With the rapid development of computer technology, the application of alum image processing technology can realize rapid, accurate and real-time detection of flocs state, so as to control the dosage more accurately and improve the coagulation effect. From the perspective of computer vision technology, this paper summarizes the technical characteristics of alum image acquisition and processing in flocs, introduces the method of real-time tracking and calculating the characteristic parameters of alum structure, such as equivalent particle size, fractal dimension, etc., and some test results are also provided. Through these parameters the best coagulation effect can be judged, which provides the basis for coagulation control and dosing.

coagulation  /  flocs  /  image processing  /  equivalent particle size  /  fractal dimension
Shangke GUO, Junwen GUO, Changbi WEN, Borun LI, Weizhong TENG, Xiaowei JIANG, Decai ZHANG, Yue QIAO. Research and application progress of judging the performance of flocs based on image processing in water coagulation[J]. Thermal Power Generation, 2024 , 53 (5) : 1 -9 . DOI: 10.19666/j.rlfd.202310169
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  • Science and Technology Project of China Huaneng Group Co., Ltd.(HNKJ21-HF201)
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Year 2024 volume 53 Issue 5
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Article Info
doi: 10.19666/j.rlfd.202310169
  • Receive Date：2023-10-12
  • Online Date：2026-01-07
  • Published：2024-05-25
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History
  • Received：2023-10-12
Funding
Science and Technology Project of China Huaneng Group Co., Ltd.(HNKJ21-HF201)
Affiliations
    1.Huaneng Hainan Power Generation Co., Ltd. Dongfang Power Plant, Dongfang 572633, China
    2.Xi’an Thermal Power Research Institute Co., Ltd., Xi’an 710054, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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