Abstract
The conventional piggery wastewater treatment system is mainly a manual operation system which may be well managed by experienced technicians. However, the pig farmers must simultaneously manage their pig production as well as their on-farm wastewater treatment facility. For this study, Internet of Things (IoT) applications were introduced on a 1000-pig farm to establish a smart piggery wastewater treatment system, which was upgraded from a self-developed fully automatic wastewater treatment system. Results showed that the removal efficiency of biochemical oxygen demand (BOD), chemical oxygen demand (COD), and suspended solids (SS) of the piggery wastewater based on the sensor data before and after water quality sensor calibration were 89%, 94%, and 93%, and 94%, 86%, and 96%, respectively. Moreover, the removal efficiency of BOD, COD, and SS of the piggery wastewater based on the analytical chemical data before and after water quality sensor calibration were 93%, 89%, and 97%, and 94%, 86%, and 96%, respectively. Experimental results showed that overall removal efficiency of BOD, COD, and SS of the piggery wastewater after water quality sensor calibration were 94%, 86–87%, and 96%, respectively. Results revealed that the farm-scale smart piggery wastewater treatment system was feasible to be applied and extended to more commercial pig farms for establishing sustainable pig farming.
Highlights
To ensure world food security by 2050, livestock food, e.g., meat, egg, and milk, production must be increased by 70% in 10 years
The Efficiency of Piggery Wastewater Treatment Based on the Analytical Chemical Data
The overall removal efficiencies of the biochemical oxygen demand (BOD), chemical oxygen demand (COD), and SS of the piggery wastewater based on only the analytical chemical data were 94%, 87%, and 96%, respectively (Table 3)
Summary
To ensure world food security by 2050, livestock food, e.g., meat, egg, and milk, production must be increased by 70% in 10 years. Besides the online monitoring and management system of PLF, the livestock wastewater treatment system with automation has been developed since 1995 in Taiwan [2]. A wastewater facility installs smart sensors at various points in its water management system (https://blog.temboo.com/iot-and-wastewater-treatment-plants/). These sensors collect data on water quality and other environmental conditions. The objective of this study was to construct a farm-scale demonstration site of self-designed smart piggery wastewater treatment facility with remote monitoring and control through IoT applications. The achievements of this study can promote piggery wastewater treatment efficiency, lower manpower needs, and upgrade the livestock industry, as well as reduce the environmental impact of livestock farming
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