Source Jouranl of CSCD
Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Environmental Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
Volume 41 Issue 7
Jul.  2023
Turn off MathJax
Article Contents
Abstract
References
Article Navigation >  ENVIRONMENTAL ENGINEERING  > 2023  >  41(7): 175-183,234
YUAN Wei-hao, WANG Hua, ZENG Yi-chuan, FANG Shao-wen, WANG Shi-gang, LI Yuan-yuan, ZHANG Xin-yue. SPATIOTEMPORAL VARIATION OF DRIVING FACTORS OF ALGAL PROLIFERATION IN A LARGE RIVER-CONNECTED LAKE[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(10): 64-71,128. doi: 10.13205/j.hjgc.202110009
Citation: SUN Bingyang, YANG Shunsheng, CHEN Peng, ZHANG Dawen. DEVELOPMENT OF A PORTABLE WATER QUALITY DETECTION SYSTEM BASED ON ZYNQ IMAGE PROCESSING[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(7): 175-183,234. doi: 10.13205/j.hjgc.202307024
shu

DEVELOPMENT OF A PORTABLE WATER QUALITY DETECTION SYSTEM BASED ON ZYNQ IMAGE PROCESSING

doi: 10.13205/j.hjgc.202307024

  • School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China

  • Received Date: 2022-03-04
    Abstract
  • Combined with photoelectric detection technology and UV-Vis absorption spectroscopy in spectral analysis technology, a multi-parameter portable surface water quality detection system was developed, which can quickly detect phosphate, nitrite, and chemical oxygen demand (COD) and ammonia nitrogen on-site. For the substances in the water body that absorb the characteristic wavelengths in the visible range, a camera was used to collect the visible spectrum, and the grayscale image of the visible spectrum image was modelled by a convolutional neural network. The concentration value of substances, whose absorption characteristic wavelength is within the ultraviolet band, was measured by photoelectric detection technology. The established convolutional neural network model was transplanted into ZYNQ, and combined with an ultraviolet photoelectric sensor, the concentration value of the detected substance was displayed on the LCD to realize the portability of the water quality detector. Research indicated that:the prediction value of the convolutional neural network was obtained as the tendency value of sample solution in 8 output types of concentration value, the highest accuracy was 100%, and the lowest was 40%. The highest error of COD concentration value was 10%, proving that the detection system has good practical value.
    • FullText(HTML)
    • References(27)
  • [1]
    刘录三,黄国鲜,王璠,等.长江流域水生态环境安全主要问题、形势与对策[J].环境科学研究,2020,33(5):1081-1090.
    [2]
    WRIGHT J, GUNDRY S, CONROY R.Household drinking water in developing countries:a systematic review of microbiological contamination between source and point-of-use[J].Trop Med Int Health, 2004,9(1):106-117.
    [3]
    SAID A, STEVENS D K, SEHLKE G.An innovative index for evaluating water quality in streams[J].Environmental Management, 2004, 34(3):406-414.
    [4]
    PELETZ R, KISIANGANI J, BONHAM M, et al.Why do water quality monitoring programs succeed or fail? a qualitative comparative analysis of regulated testing systems in sub-Saharan Africa[J].International Journal of Hygiene and Environmental Health,2018, 221(6):907-920.
    [5]
    WU L H, MA T S,BIAN Y C, et al.Improvement of regional environmental quality:government environmental governance and public participation[J].Science of the Total Environment, 2020, 717:137265.
    [6]
    王维理.水质检测过程控制及水质检测质量[J].建筑工程技术与设计,2019(5):4134.
    [7]
    SYU W J, CHANG T K, PAN S Y.Establishment of an automatic real-time monitoring system for irrigation water quality management[J].Int J Environ Res Public Health, 2020,17(3):737.
    [8]
    CHEN H W, ZHAO L L, YU F B, et al.Detection of phosphorus species in water:technology and strategies[J].Analyst, 2019, 144(24):7130-7148.
    [9]
    田珍珠.基于紫外光谱法的水质化学需氧量在线检测技术尝试[J].中外交流,2020,27(17):151.
    [10]
    FIGUEIR, RUSSO M R.Fish farming water quality monitored by optical analysis:the potential application of UV-Vis absorption and fluorescence spectroscopy[J].Aquaculture, 2018(1):484-486.
    [11]
    AARESTRUP F M, WOOLHOUSE M E.Using sewage for surveillance of antimicrobial resistance[J].Science, 2020,367(6478):630-632.
    [12]
    KHVOSTENKO O G, KINZYABULATOV R R, KHATYMOVA L Z, et al.The lowest triplet of tetracyanoquinodimethane via UV-vis absorption spectroscopy with Br-containing solvents[J].J Phys Chem A, 2017, 121(39):7349-7355.
    [13]
    雷惠,潘德炉,陶邦一,等.东海典型水体的黄色物质光谱吸收及分布特征[J].海洋学报,2009,31(2):57-62.
    [14]
    周琳,马荣华,段洪涛,等.浑浊Ⅱ类水体叶绿素a浓度遥感反演(Ⅰ):模型的选择[J].2011,30(6):531-536.
    [15]
    汪银龙,冯民权,董向前.汾河下游雨季硝酸盐污染源解析[J].环境科学,2019,40(9):4033-4041.
    [16]
    BRUN L, TRÉMEAU A.Color quantization[M]//Digital Color Imaging Handbook.CRC Press, 2017:589-637.
    [17]
    YANG X H, REN T, TAN L H.Size distribution measurement of coal fragments using digital imaging processing[J].Measurement, 2020,160:107867.
    [18]
    邹雄,刘国栋,曾文平.QR码图像预处理中的滤波研究[J].应用光学,2010,31(3):413-417.
    [19]
    OSHI A, BOYAT A K, JOSHI B K.Impact of wavelet transform and median filtering on removal of salt and pepper noise in digital images[C]//2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT).IEEE, 2014:838-843.
    [20]
    CHEUNG G, MAGLI E, TANAKA Y, et al.Graph spectral image processing[J].Proceedings of the IEEE, 2018,106(5):907-930.
    [21]
    MORRIS R.Spectrophotometry[J].Current Protocols Essential Laboratory Techniques, 2015, 11(1):2-1.
    [22]
    HUANG P J, WANG K, HOU D B, et al.In situ detection of water quality contamination events based on signal complexity analysis using online ultraviolet-visible spectral sensor[J].Applied Optics, 2017, 56(22):6317-6323.
    [23]
    林峰,王智敏,王一菲.紫外光照下尿嘧啶在磷酸盐水溶液中的新型光化学反应研究[J].高等学校化学学报,2004,25(5):926-929.
    [24]
    CHEN J, LIU S, QI X, et al.Study and design on chemical oxygen demand measurement based on ultraviolet absorption[J].Sensors and Actuators B:Chemical, 2018, 254:778-784.
    [25]
    孙平安,祁俊,谭秋月.利用卷积神经网络改进迭代深度学习算法的图像识别方法研究[J].计算机应用研究,2019,36(7):2223-2227.
    [26]
    SARIGUL M, OZYILDIRIM B M, AVCI M.Differential convolutional neural network[J].Neural Networks, 2019(116):279-287.
    [27]
    CHEUNG G, MAGLI E, TANAKA Y, et al.Graph spectral image processing[J].Proceedings of the IEEE, 2018,106(5):907-930.
    • Relative Articles

  • Relative Articles

    [1]DU Yu, SUN Shuqing, DAI Wen, CAO Menghua, TU Shuxin, XIONG Shuanglian. REMOVAL EFFICIENCY AND MECHANISM OF ATRAZINE FROM CONTAMINATED SOIL BY PERSULFATE AND ASCORBIC ACID[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(6): 146-152. doi: 10.13205/j.hjgc.202406017
    [2]HU Xiaomin, JIANG Shuqi. TREATMENT OF EMULSIFIED OIL WASTEWATER BY PULSE ELECTRIC FIELD DEMULSIFICATION-ACTIVATED PERSULFATE PROCESS[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(1): 55-62. doi: 10.13205/j.hjgc.202401008
    [3]SHI En, ZHANG Shuai, ZHANG Miao, LIU Shasha, ZOU Yuliang, ZHANG Xiangzhi. ENVIRONMENTAL IMPACT ASSESSMENT OF SLUDGE-BASED ACTIVATED CARBON PREPARATION PROCESS BASED ON LIFE CYCLE[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(2): 40-47. doi: 10.13205/j.hjgc.202402005
    [4]REN Yuqing, WU Wei, WEI Haijuan, ZHOU Bin, XING Yunxin, HE Kankan, ZHOU Zhen. EFFECTS OF PROPERTIES AND STRUCTURE OF POLYACRYLAMIDE ON SLUDGES CONDITIONING AND DEWATERING PERFORMANCE BEFORE AND AFTER ANAEROBIC DIGESTION[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(8): 57-64. doi: 10.13205/j.hjgc.202308008
    [5]CONG Xin, SUN Meizhen, YUAN Xuehong, LI Taolue, XUE Nandong. IRON-BASED NANOMATERIALS MEDIATED BY LEAF EXTRACTS FROM SYCAMORE ACTIVATE PERSULFATES TO CATALYZE TBBPA DEGRADATION IN SOIL[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(5): 107-114. doi: 10.13205/j.hjgc.202305015
    [6]ZHANG Shicheng, LI Simin, ZHU Jia. DEGRADATION OF METHYL ORANGE BY CuO/g-C3N4 ACTIVATED PEROXODISULFATE[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(10): 40-48. doi: 10.13205/j.hjgc.202210006
    [7]SUN Li-hua, MEI Xiao-yu, GAO Cheng, FENG Cui-min. MECHANISMS AND EFFICIENCY OF REMOVAL OF ORGANIC MATTER AND ANTIBIOTIC RESISTANCE GENES IN SECONDARY EFFLUENT OF WATARPLANTS BY DIFFERENT PERSULFATE ACTIVATION METHODS[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(9): 74-80,134. doi: 10.13205/j.hjgc.202209010
    [8]WANG Xinlong, SUN Pinghe, ZHAO Mingzhe, XING Shikuan, FENG Deshan, TANG Lei. INFLUENCE OF DIFFERENT CONSOLIDATION FACTORS ON MOISTURE CONTENT AND PERMEABILITY OF WASTE SLURRY[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(8): 84-89. doi: 10.13205/j.hjgc.202208011
    [9]ZOU Zhikun, CHEN Yudao, ZHENG Gao, LU Renqian, YANG Pengfei, WU Weizhong. EFFECTS OF ETHANOL ON REMOVAL OF BTEX FROM GASOLINE BY PERSULFATE IN LIMESTONE AQUEOUS MEDIA[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(12): 98-104. doi: 10.13205/j.hjgc.202212013
    [10]XIE Min, WU Xin, WANG Xiao, XU Su, XIAO Ben-yi, GUO Xue-song. OPTIMIZATION ON EXCESS SLUDGE DEWATERING OF RURAL DISPERSED WASTEWATER TREATMENT FACILITIES[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(6): 15-20. doi: 10.13205/j.hjgc.202106003
    [11]YAN Qiu-he, WANG Hong-tao, LIU Yan-ting. EVALUATION OF CLASSIFICATION EFFECT OF KITCHEN WASTE AND OTHER WASTE AND ENERGY UTILIZATION EFFICIENCY USING MOISTURE CONTENT: A CASE STUDY OF ZHANGJIAGANG[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(2): 105-109,159. doi: 10.13205/j.hjgc.202102016
    [12]HOU Si-ying, DENG Yi-rong, LU Hai-jian, LV Ming-chao, SU Jia-yun, LI Qu-sheng. RESEARCH PROGRESS ON IRON ACTIVATED PERSULFATE IN SITU REMEDIATION OF ORGANIC CONTAMINATED SOIL[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(4): 195-200,194. doi: 10.13205/j.hjgc.202104029
    [13]CAO Yuan, LI Xiao-dong, PENG Chang-sheng, SUN Zong-quan, SHEN Jia-lun, MA Fu-jun, GU Qing-bao. REMOVAL OF 2,4-DINITROTOLUENE BY PERSULFATE ACTIVATED WITH IRON MODIFIED BIOCHAR PREPARED BY DIPPING-PYROLYSIS PROCESS[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(11): 135-142,178. doi: 10.13205/j.hjgc.202111017
    [14]LIAN Guang-hu, CHENG Gang, ZHANG Lin-yu, ZHANG Yu, SONG Zhi-jun, XU Xiao-jie, WEN Yu-ting, CAI Mei-qiang. SLUDGE DEWATERING PERFORMANCE ENHANCEMENT BY HYDRODYNAMIC CAVITATION-ACIDIFICATION CONDITIONING[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(8): 96-100,70. doi: 10.13205/j.hjgc.202008016
    [15]LAN Bing-bing, JIN Ruo-fei, LIU Yan-song, LIU Guang-fei, ZHOU Ji-ti. EFFECT OF SODIUM PERIODATE-APAM CONJUNCTION ON DEWATERABILITY OF WASTE ACTIVATED SLUDGE[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(7): 122-126. doi: 10.13205/j.hjgc.202007019
    [16]WANG Yan, ZOU Lv-xi, MAO Lin-feng, CHEN Ya-li, LI Ji. EFFICIENCY AND MECHANISM OF UV/O3-Na2S2O8 IN TREATING ACTIVATED CARBON REGENERATION CONDENSATE WASTEWATER[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(7): 38-44. doi: 10.13205/j.hjgc.202007006
    [17]XU Rui, YANG Wei, YANG Zhe, CHENG Qian-lan, GU Li-ting, GUO Sheng. HIGH-EFFICIENT REMOVAL OF TETRACYCLINE HYDROCHLORIDE BASED ON PEROXYMONOSULFATE ACTIVATED BY CuO/EXPANDED GRAPHITE COMPOSITE[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(2): 48-54,47. doi: 10.13205/j.hjgc.202002006
    [18]CHEN Wei-gang, WU Hai-xia, FAN Jia-wei. ACTIVATED CARBON HETEROGENEOUS ACTIVATION OF DIFFERENT PERSULFATES TO DEGRADATION AZO DYE ACID ORANGE Ⅱ[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(8): 113-118,57. doi: 10.13205/j.hjgc.202008019
    [19]GUO Zhao-qiang, SHANG Shuang, LAN Kui, LI Ze-shan, XIONG Tao, ZHANG Juan-juan, WANG Yan, QIN Zhen-hua, LI Jian-fen. HYDROGEN-RICH SYNGAS PRODUCTION BY CO-PYROLYSIS OF WHEAT STALK AND WET SEWAGE SLUDGE WITH DIFFERENT MOISTURE CONTENT[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(5): 160-164,214. doi: 10.13205/j.hjgc.202005028
    [20]Zhang Xiaoxu, Zhang Hongyu, Li Guoxue, . EFFECT OF ADDITIVE QUANTITY OF STALKS ON H2 S AND NH3 EMISSION DURING KITCHEN WASTE COMPOSTING[J]. ENVIRONMENTAL ENGINEERING , 2015, 33(1): 95-99. doi: 10.13205/j.hjgc.201501022
    • Supplements(0)
    • Cited By

  • Cited by

    Periodical cited type(6)

    1. 黎栩霞，王裕东，肖佑鹏，徐旭，王海鹏，陈伊梦，林俊川，黄桂松，黄振国，孙萍，麦有全，杨尚波，许旺. 深圳近岸海域水质遥感监测及时空变化. 环境工程. 2024(01): 243-252 . 本站查看
    2. 胡芳，刘聚涛，杨平，温春云，张兰婷，张洁. 鄱阳湖蓝藻时空分布特征及其驱动因子研究. 长江流域资源与环境. 2024(03): 605-614 .
    3. 钱春龙，曾一川，袁伟皓，吴怡. 基于时间序列的鄱阳湖Chl-a预测模型优化构建. 长江科学院院报. 2023(10): 14-21 .
    4. 任永琴，金柱成，俞真元，王晓丽，彭士涛. 基于双向门控循环单元的地表水氨氮预测. 中国环境科学. 2022(02): 672-679 .
    5. 朱江伟，马鹏飞，杜晓，杨言言，郝晓刚，罗善霞. 基于可变价NiFe-LDH/rGO对磷酸根离子的特异性电控分离. 化工学报. 2022(07): 3057-3067 .
    6. 张天衍，董增川，罗赟，石晴宜，韩亚雷，崔璨，周强，张游. 基于水质-水位二元响应关系推求过水型湖泊适宜生态水位研究. 湖泊科学. 2022(05): 1670-1682 .

    Other cited types(2)

  • Created with Highcharts 5.0.7Amount of accessChart context menuAbstract Views, HTML Views, PDF Downloads StatisticsAbstract ViewsHTML ViewsPDF Downloads2024-052024-062024-072024-082024-092024-102024-112024-122025-012025-022025-032025-0405101520
    Created with Highcharts 5.0.7Chart context menuAccess Class DistributionFULLTEXT: 8.5 %FULLTEXT: 8.5 %META: 85.5 %META: 85.5 %PDF: 6.0 %PDF: 6.0 %FULLTEXTMETAPDF
    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 14.3 %其他: 14.3 %其他: 0.3 %其他: 0.3 %上海: 1.6 %上海: 1.6 %上饶: 0.5 %上饶: 0.5 %东京: 0.3 %东京: 0.3 %东莞: 0.3 %东莞: 0.3 %临汾: 0.5 %临汾: 0.5 %保定: 0.3 %保定: 0.3 %兰州: 1.1 %兰州: 1.1 %北京: 13.2 %北京: 13.2 %南京: 3.5 %南京: 3.5 %南宁: 0.3 %南宁: 0.3 %南昌: 1.1 %南昌: 1.1 %台州: 1.1 %台州: 1.1 %吉林: 0.5 %吉林: 0.5 %呼和浩特: 0.3 %呼和浩特: 0.3 %唐山: 0.3 %唐山: 0.3 %嘉兴: 2.2 %嘉兴: 2.2 %大同: 0.5 %大同: 0.5 %天津: 2.7 %天津: 2.7 %安康: 0.5 %安康: 0.5 %常州: 0.3 %常州: 0.3 %常德: 0.5 %常德: 0.5 %广州: 1.9 %广州: 1.9 %庆阳: 1.6 %庆阳: 1.6 %弗吉尼亚州: 0.3 %弗吉尼亚州: 0.3 %张家口: 1.9 %张家口: 1.9 %德阳: 0.3 %德阳: 0.3 %成都: 2.7 %成都: 2.7 %扬州: 0.8 %扬州: 0.8 %新乡: 0.5 %新乡: 0.5 %无锡: 0.3 %无锡: 0.3 %昆明: 0.3 %昆明: 0.3 %晋城: 0.3 %晋城: 0.3 %杭州: 1.4 %杭州: 1.4 %武汉: 4.9 %武汉: 4.9 %江门: 0.3 %江门: 0.3 %洛阳: 0.3 %洛阳: 0.3 %海口: 0.3 %海口: 0.3 %深圳: 0.8 %深圳: 0.8 %温州: 0.3 %温州: 0.3 %湖州: 0.3 %湖州: 0.3 %漯河: 1.4 %漯河: 1.4 %烟台: 0.3 %烟台: 0.3 %盐城: 0.5 %盐城: 0.5 %石家庄: 0.3 %石家庄: 0.3 %福州: 0.5 %福州: 0.5 %芒廷维尤: 7.3 %芒廷维尤: 7.3 %芝加哥: 1.4 %芝加哥: 1.4 %菏泽: 0.8 %菏泽: 0.8 %蚌埠: 2.2 %蚌埠: 2.2 %衡水: 1.6 %衡水: 1.6 %衢州: 0.5 %衢州: 0.5 %西宁: 6.8 %西宁: 6.8 %西安: 0.3 %西安: 0.3 %贵港: 0.8 %贵港: 0.8 %贵阳: 1.1 %贵阳: 1.1 %资阳: 0.5 %资阳: 0.5 %运城: 1.9 %运城: 1.9 %通辽: 1.4 %通辽: 1.4 %遵义: 0.3 %遵义: 0.3 %邯郸: 0.5 %邯郸: 0.5 %郑州: 1.1 %郑州: 1.1 %重庆: 0.5 %重庆: 0.5 %长沙: 1.1 %长沙: 1.1 %龙岩: 1.6 %龙岩: 1.6 %其他其他上海上饶东京东莞临汾保定兰州北京南京南宁南昌台州吉林呼和浩特唐山嘉兴大同天津安康常州常德广州庆阳弗吉尼亚州张家口德阳成都扬州新乡无锡昆明晋城杭州武汉江门洛阳海口深圳温州湖州漯河烟台盐城石家庄福州芒廷维尤芝加哥菏泽蚌埠衡水衢州西宁西安贵港贵阳资阳运城通辽遵义邯郸郑州重庆长沙龙岩

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (121) PDF downloads(7) Cited by(8)
    Proportional views
    Related

    Journal Online

    Authors' Center

    Links

    Copyright © 《工业建筑》杂志社有限公司 京ICP备11033253号-1

    Supported by: Beijing Renhe Information Technology Co. Ltd     百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return