Digitally controlled reactors can optimize biological reactions and process control through a neural network system. This study reports on the design, fabrication, and automation of a laboratory‐scale anaerobic reactor for the management of agrifood byproducts and bioenergy recovery. The process described here can digitally control the operational parameters, which is beneficial for stable methane production. The proposed process comprises the digital measurement of temperature, pH, humidity, biogas volume, and methane composition by integrating the data in a processor module. The proposed automated reactor can assist significantly in controlling and monitoring the anaerobic digestion process, providing decision making during waste management and bioenergy recovery. A case study is described with the application of automated reactors in a pilot‐scale plant, operated with the flow of 8 m3 slaughterhouse wastewater per day and a biogas production of 10 m3 h−1. The automated pilot‐scale process presents many advantages, including a continuous mode of operation and a faster adaptation of the microorganisms to the substrate, improving biogas production.

中文翻译：

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用于废物管理和生物能源回收的厌氧反应器的设计、制造、自动化和放大

数字控制反应器可以通过神经网络系统优化生物反应和过程控制。本研究报告了用于农业食品副产品管理和生物能源回收的实验室规模厌氧反应器的设计、制造和自动化。这里描述的过程可以数字化控制操作参数，这有利于稳定的甲烷生产。所提出的过程包括通过将数据集成到处理器模块中来对温度、pH 值、湿度、沼气量和甲烷成分进行数字测量。所提出的自动化反应器可以极大地帮助控制和监测厌氧消化过程，在废物管理和生物能源回收过程中提供决策。案例研究描述了自动化反应器在中试规模工厂中的应用，运行流量为 8 m3每天屠宰场废水和沼气产量 10 m3H−1。自动化中试规模工艺具有许多优点，包括连续操作模式和微生物对底物更快的适应，从而提高沼气产量。