This study examined the application of co-benefit-type wastewater treatment technology in the fish-processing industry. Given that there was a dearth of information on fish-processing industrial wastewater in Indonesi...This study examined the application of co-benefit-type wastewater treatment technology in the fish-processing industry. Given that there was a dearth of information on fish-processing industrial wastewater in Indonesia, site surveys were conducted. For the entire fish-processing industry throughout the country, the dissemination rate of wastewater treatment facilities was less than 50%. Using a co-benefit approach, a real-scale swim-bed technology (SBT) and a system combining an anaerobic baffled reactor (ABR) with SBT (ABR–SBT) were installed in a fishmeal processing factory in Bali, Indonesia, and the wastewater system process performance was evaluated. In a business-as-usual scenario, the estimated chemical oxygen demand load and greenhouse gas (GHG) emissions from wastewater from the Indonesian fish-processing industry were 33 000 tons per year and 220 000 tons of equivalent CO_(2) per year, respectively. On the other hand, the GHG emissions in the co-benefit scenarios of the SBT system and ABR–SBT system were 98 149 and 26 720 tons per year, respectively. Therefore, introducing co-benefit-type wastewater treatment to Indonesia’s fish-processing industry would significantly reduce pollution loads and GHG emissions.展开更多
为实现鱼类初加工过程中对物料状态和设备运行参数实时监测与在线控制,该研究以罗非鱼为研究对象,研制了基于机器视觉的喂入量实时监测设备。首先建立基于多源数据与知识融合规则的运行参数在线控制系统,系统主要由工控机、PLC、工业相...为实现鱼类初加工过程中对物料状态和设备运行参数实时监测与在线控制,该研究以罗非鱼为研究对象,研制了基于机器视觉的喂入量实时监测设备。首先建立基于多源数据与知识融合规则的运行参数在线控制系统,系统主要由工控机、PLC、工业相机、伺服电机和显示器等组成,并研究根据生产线实时输送速度的变化在线调整相机采帧数及曝光时间参数,获取罗非鱼输送过程多目标图像,进一步采用LRMF(Local threshold,Remove,Morphological processing and median Filter)算法,对网格背景下不同规格罗非鱼的感兴趣区域进行提取,并构建动态条件下的罗非鱼面积-质量模型,对罗非鱼加工喂入量进行监测,最后基于模糊控制研究了鱼喂入量的控制方法,开发了喂入量监测及参数控制软件,实现对喂入量、输送带速度、去鳞滚筒转速等关键参数的实时监测与控制。试验结果表明,所建立的罗非鱼面积-质量模型决定系数R^(2)为0.9,系统对喂入量、去鳞滚筒转速和输送速度的采集准确率分别可达95.61%、98.5%和98.6%,生产线平均加工速度为2000 kg/h时,喂入量控制开启后波动范围减小了43.5%,且系统响应时间小于1 s,能够实现基于规则的运行参数闭环在线调控,满足鱼类加工生产线实时监控要求。研究结果可为淡水鱼初加工生产线的自动化和信息化研究提供技术参考。展开更多
文摘This study examined the application of co-benefit-type wastewater treatment technology in the fish-processing industry. Given that there was a dearth of information on fish-processing industrial wastewater in Indonesia, site surveys were conducted. For the entire fish-processing industry throughout the country, the dissemination rate of wastewater treatment facilities was less than 50%. Using a co-benefit approach, a real-scale swim-bed technology (SBT) and a system combining an anaerobic baffled reactor (ABR) with SBT (ABR–SBT) were installed in a fishmeal processing factory in Bali, Indonesia, and the wastewater system process performance was evaluated. In a business-as-usual scenario, the estimated chemical oxygen demand load and greenhouse gas (GHG) emissions from wastewater from the Indonesian fish-processing industry were 33 000 tons per year and 220 000 tons of equivalent CO_(2) per year, respectively. On the other hand, the GHG emissions in the co-benefit scenarios of the SBT system and ABR–SBT system were 98 149 and 26 720 tons per year, respectively. Therefore, introducing co-benefit-type wastewater treatment to Indonesia’s fish-processing industry would significantly reduce pollution loads and GHG emissions.
文摘为实现鱼类初加工过程中对物料状态和设备运行参数实时监测与在线控制,该研究以罗非鱼为研究对象,研制了基于机器视觉的喂入量实时监测设备。首先建立基于多源数据与知识融合规则的运行参数在线控制系统,系统主要由工控机、PLC、工业相机、伺服电机和显示器等组成,并研究根据生产线实时输送速度的变化在线调整相机采帧数及曝光时间参数,获取罗非鱼输送过程多目标图像,进一步采用LRMF(Local threshold,Remove,Morphological processing and median Filter)算法,对网格背景下不同规格罗非鱼的感兴趣区域进行提取,并构建动态条件下的罗非鱼面积-质量模型,对罗非鱼加工喂入量进行监测,最后基于模糊控制研究了鱼喂入量的控制方法,开发了喂入量监测及参数控制软件,实现对喂入量、输送带速度、去鳞滚筒转速等关键参数的实时监测与控制。试验结果表明,所建立的罗非鱼面积-质量模型决定系数R^(2)为0.9,系统对喂入量、去鳞滚筒转速和输送速度的采集准确率分别可达95.61%、98.5%和98.6%,生产线平均加工速度为2000 kg/h时,喂入量控制开启后波动范围减小了43.5%,且系统响应时间小于1 s,能够实现基于规则的运行参数闭环在线调控,满足鱼类加工生产线实时监控要求。研究结果可为淡水鱼初加工生产线的自动化和信息化研究提供技术参考。
