Abstract:
Abstract: Swine effluent poses not only serious threats to the environment and soil but also affect the sustainable development of livestock industry. So the treatment and supervision of swine sewage is imperative. In this paper, we divided the swine treatment methods into ecological treatment, industrial treatment and centralized treatment. To realize the remote monitoring and illegal discharge warning of swine effluent disposed by the three treatment methods, a smart supervisory system and real time data supervisory strategy was designed and proposed. Based on Internet, the newly developed system collected and monitored the effluent information such as rainfall, level, flow, location, chemical oxygen demand and biochemical oxygen demand in water, ammonia concentration and so on through data acquisition system. The system was mainly comprised of sensors, microprocessors, and GPRS wireless transmission module. The collected data were transmitted to the cloud server as real-time data for the entire supervisory system. According to the change rules of data and the practical demand of supervision, real-time data was obtained every 10 minutes. In addition, to determine the credit rating of the industries and push the alarm information in different conditions, the system would select the principle identity as the primary index of warning decision, while for the real-time warning, industry credit rating, alarm grade, and alarm processing time as the secondary indexes were used. Furthermore, the index system of warning-push was proposed in this paper. Combing the real time data and index system of warning-push, the system could realize functions of real time data monitoring, video monitoring, site management, equipment management, data statistic and early warning management. A lower inter-module coupling and a higher cohesion between the functions were designed to improve its scalability and flexibility, and to ensure that the modules could be interrelated in the logical structure and independent in the physical structure. In the centralized treatment, the system used the GPS data and basic information of sewage disposal plant to judge whether the tank car took the sewage to the designated place to discharge it or not. Based on fuzzy reasoning theory, the supervisory system of industrial treatment with five monitoring subsystems, which had two inputs and one output variables, was established. In this fuzzy supervisory system, suspended solid difference, ammonia-nitrogen difference, biochemical oxygen demand difference, chemical oxygen demand difference, total phosphorus difference and its variation rate were selected as input variables, and corresponding warning rank as an output variables. Also, symmetry triangle was selected as the membership function of input and output variables to ensure the sensitivity and robustness of the system. According to the effluent discharge standards of the livestock and poultry industry, fuzzy reasoning rules of the subsystem can be generated. To monitor the ecological treatment of swine effluent, in this paper, we constructed the corresponding supervision strategy and ecological mathematical model. Based on the principle of the supervisory strategy, the model predicted and analyzed the real-time data by qualitative and quantitative method to calculate the discharging interval during rainy days and to judge whether there existed the phenomenon of night discharge, stealing and leaking, overflowing and so on. Through the simulation test, the results showed that the system's average warning accuracy reached 96.17%, the average error time was 33.22 s, the illegal discharge capacity caused by error time was 15.77 L. Therefore, this supervisory system could meet the requirements of swine effluent discharge regulation and improve the supervision efficiency significantly.