| 摘要: | 摘要
傳統之化學混凝沉澱法用來進行重金屬廢水處理時，過程中必須投入大量的片鹼、液鹼、混凝劑、助凝劑甚至重金屬捕集劑等化學藥劑，不但藥劑費用龐大，而且衍生出大量的有害性重金屬污泥還有後續的處理流程，極不符合環保經濟原則。若使用循環式電解法處理重金屬廢水，電解之後的回收酸可再利用於廢水廠酸化處理單元，電解之後產出的廢銅管也有回收再利用的價值，整個處理過程到結束幾乎是零廢棄物。但是電解過程中，由於重金屬濃度持續在改變，以目前的重金屬檢測方法例如分光光度計檢測法或火焰式原子吸收光譜法等等，從採樣到分析結果耗時費工，無法提供立即且準確的數據，電解的參數條件因缺乏立即性的重金屬濃度，所以無法做有效率的設定和控制，易造成設備做虛工浪費處理成本。
本研究以實廠廢高酸循環電解設備為對象分批採樣，利用拍攝裝置截取樣品的數位影像分析 RGB值、利用火焰式原子吸收光譜儀測得樣品銅離子濃度，結合導電度以多元線性迴歸法分析建立迴歸模式量測法。後續的樣品只要由裝置取得 RGB值加上導電度值，代入方程式後能提供快速且準確的硫酸銅廢液濃度給現場操作人員參考，作為調整設備處理條件設定之依據。
研究結果顯示電解硫酸銅廢液的處理過程中，在開始電解時因電解槽內殘餘的銅粉混入新的廢液中，所以銅離子濃度出現上升的趨勢，在經過約4~5小時達到最高濃度即開始呈現遞減狀態，平均每小時銅離子濃度約降低1 g/L，廢液顏色變化亦從藍色轉變成綠色，最後變成黃褐色結束。驗證硫酸銅廢液 RGB及導電度進行分析推估銅離子濃度效果良好，未來可與自動監控技術結合，即時獲得廢液濃度，作為電解處理自動控制參數條件的依據並應用於預警訊息的通報，可增加電解處理的穩定性，降低回收處理成本、延長耗材使用壽命和改善電解品質不佳等等問題。關鍵字：分光光度計、火焰式原子吸收光譜、 RGB、多元線性迴歸
Abstract
Traditional chemical coagulation method used for heavy metal wastewater treatment, must adding a great quantity of Caustic Soda Flake, Sodium hydroxide, coagulate agent ,flocculating agent or chelating agent of heavy metal ,etc. Caused pharmacy costs of huge consumption, produce a great quantity of harmful heavy metal sludge and subsequent processing. Extremely discrepant to principles of environmental economic. When using circulating electrolysis method to treatment of heavy metal wastewater, after electrolysis recovered acid can be reused in the wastewater treatment plant's acidification process unit. And after electrolytic produced copper tube has the value of recycling. To the end of the whole process nearly zero waste. But the electrolysis process, due to the concentration of heavy metals in continuous change. The current heavy metal detection methods such as a spectrophotometer assay or flame atomic absorption spectrometry, etc. From sampling to analytical results is time-consuming work, unable to provide immediate and accurate data, unable to provide immediate and accurate data. Due to lack of immediate concentration of heavy metals in the electrolytic parameters can not be set to establish the conditions, cause the equipment to make virtual workers and consume disposal costs.
This study used waste high acid cycle electrolysis equipment in real factory for the batches sample objects, the use camera apparatus to interception sample digital image and analysis of RGB values, using flame atomic absorption spectrometer measured sample concentration of copper ions, combined conductivity by multiple linear regression method to establis regression model measurement method. Subsequent samples by the equipment obtained RGB values and conductivity values into the formula to provide fast and accurate waste sulfate copper concentration for site operators to refer for as an adjustment equipment processing condition setting basis.
The research results show that the electrolytic treatment process of sulfate copper waste liquid, due to the electrolysis cell residual waste copper powder with infusion new waste liquid combined, caused copper ion concentration appear upward trend. After about 4 to 5 hours to reach highest concentration than start appear to diminishing status, average hourly copper ion concentration was reduced by approximately 1 g / L. Waste liquid color change is from blue into green, and finally become brown end. Verification using RGB and conductivity conducted analysis of sulfate copper to estimate the concentration of copper ions to good effect. Future combined with automatic monitoring technology can be instant access to the waste liquid concentration, for electrolytic equipment processing to basis of automatic control parameter conditions and applied to the warning message notification. Increase the stability of the electrolytic process, reduce the cost of recycling ,prolong the life of supplies and improve electrolysis of poor quality,etc.Keywords: UV-VIS-NIR, AA, RGB, Mulitiple Regression Analysis |
