MACD algorithm-based pattern recognition of loading impact of PBAT wastewater treated by AnMBR

doi:10.19965/j.cnki.iwt.2024-0238

Abstract

Abstract:

Highly concentrated, toxic and acidic poly(butyleneadipate-co-terephthalate) (PBAT) wastewater load shocks made conventional anaerobic treatment processes challenging. Anaerobic membrane bioreactor (AnMBR) has good load shock resistance, but PBAT wastewater load shock pattern identification had not been established. In this paper, based on the moving average convergence divergence (MACD) algorithm for gas-liquid two-phase parameters, volatile fatty acid (VFA), alkalinity, hydrogen content, methane, and trans-membrane pressure (TMP) difference were selected as the diagnostic indexes for pattern recognition,and the on-line intelligent diagnostic system of AnMBR was established. The results showed that the MACD algorithm enhanced the pattern recognition ability of the state parameters of AnMBR and could filter out the irregular noise fluctuations of the state parameters. The membrane contamination rate (dTMP/dt)=1 was selected as the diagnostic threshold, and by combining the membrane fouling rate and the positive/negative sign characteristics of the MACD indicators, a fast and accurate diagnosis of the impact type was realized, and a comprehensive diagnostic database of the response of multiple MACD indicators was established for mapping the reactor system state, which further strengthened the stable operation of the anaerobic treatment of PBAT wastewater.

Key words: anaerobic membrane bioreactor, PBAT wastewater, load shock, MACD algorithm, diagnostic identification

摘要：

高浓度、有毒和酸性的聚己二酸/对苯二甲酸丁二醇酯（PBAT）废水负荷冲击使得传统厌氧处理工艺面临挑战。厌氧膜生物反应器（AnMBR）具有良好的抗负荷冲击能力，但是PBAT废水负荷冲击模式识别尚未建立。基于气液两相参数的指数平滑异同移动平均（MACD）算法，遴选挥发性脂肪酸（VFA）、碱度、氢浓度、甲烷、跨膜压差（TMP）等为模式识别诊断指标，建立AnMBR的在线智能诊断系统。研究结果表明MACD算法增强了AnMBR状态参数的模式识别能力，可滤除状态参数的不规则噪声波动。选取膜污染速率（dTMP/dt）=1作为诊断阈值，通过对膜污染速率和MACD指标正/负符号特征进行组合，实现对冲击类型的快速、准确诊断，建立了多MACD指标响应综合诊断数据库映射反应器系统状态，进一步加强了PBAT废水厌氧处理的稳定运行。

关键词: 厌氧膜生物反应器, PBAT废水, 负荷冲击, MACD算法, 诊断识别

CLC Number:

X703.1

Jingjing WANG, Fang DONG, Chunhua HE, Luyao XU, Wei WANG. MACD algorithm-based pattern recognition of loading impact of PBAT wastewater treated by AnMBR[J]. Industrial Water Treatment, 2025, 45(4): 78-83.

王菁菁, 董方, 何春华, 徐璐瑶, 王伟. 基于MACD算法的AnMBR处理PBAT废水负荷冲击模式识别[J]. 工业水处理, 2025, 45(4): 78-83.

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URL: https://www.iwt.cn/EN/10.19965/j.cnki.iwt.2024-0238

https://www.iwt.cn/EN/Y2025/V45/I4/78

Figures/Tables 6

References 10

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序号	化学名称	分子式	质量浓度/ （mg·L^-1）
1	四氢呋喃	C₄H₈O	249
2	1，4-丁二醇	C₄H₁₀O₂	1 605
3	环戊酮	C₅H₈O	2 491
4	正丁醇	C₄H₁₀O	996
5	氯化铵	NH₄Cl	135
6	乙酸	C₂H₄O₂	125
7	丙酸	C₃H₆O₂	249
8	丁酸	C₄H₈O₂	125
9	磷酸二氢钠	NaH₂PO₄	1.25

序号	化学名称	分子式	质量浓度/ （mg·L^-1）
1	四氢呋喃	C₄H₈O	249
2	1，4-丁二醇	C₄H₁₀O₂	1 605
3	环戊酮	C₅H₈O	2 491
4	正丁醇	C₄H₁₀O	996
5	氯化铵	NH₄Cl	135
6	乙酸	C₂H₄O₂	125
7	丙酸	C₃H₆O₂	249
8	丁酸	C₄H₈O₂	125
9	磷酸二氢钠	NaH₂PO₄	1.25

指标	正/负扰动	扰动因素	指标	正/负扰动	扰动因素
M _MY	-	BDO	M _MY	-	CPO
M _Hc	-		M _Hc	-
M _TALK	-		M _TALK	-
M _TVFA	-		M _TVFA	+
dTMP/dt	>1		dTMP/dt
指标	正/负扰动	扰动因素	指标	正/负扰动	扰动因素
M _MY	-	正丁醇	M _MY	-	THF
M _Hc	-		M _Hc	+
M _TALK	-		M _TALK	+
M _TVFA	-		M _TVFA	-
dTMP/dt	<1		dTMP/dt

指标	正/负扰动	扰动因素	指标	正/负扰动	扰动因素
M _MY	-	BDO	M _MY	-	CPO
M _Hc	-		M _Hc	-
M _TALK	-		M _TALK	-
M _TVFA	-		M _TVFA	+
dTMP/dt	>1		dTMP/dt
指标	正/负扰动	扰动因素	指标	正/负扰动	扰动因素
M _MY	-	正丁醇	M _MY	-	THF
M _Hc	-		M _Hc	+
M _TALK	-		M _TALK	+
M _TVFA	-		M _TVFA	-
dTMP/dt	<1		dTMP/dt

MACD指标绝对值	轻度抑制	中度抑制	重度抑制
\|M _MY\|/（mg·L^-1）	5	10	20
\|M _Hc\|/（mg·L^-1）	5	10	20
\|M _TALK\|/（mg·L^-1）	20	50	100
\|M _TVFA\|/（mg·L^-1）	20	50	100

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