RESEARCH ON THE INTEGRATION OF THE INTERACTION SYSTEM OF WASTEWATER TREATMENT AND MEDICAL BIG DATA

摘要

Medical wastewater is characterized by infec- tivity, radioactivity, toxicity and drug resistance. In recent years, the total number of medical institutions, the number of beds, and the number of medical practitioners has increased rapidly, and the amount of wastewater discharged has increased dramatically. At present, the medical institution wastewater facilities have played a positive role in sewage pollution control, but there are many problems such as low ownership rate of treatment facilities, low treatment level, poor management and not fully considering ecological and environmental safety. This paper takes medical wastewater as the research object, takes big data information as the research background, and uses computer software technology and environmental science technology to complete the development of the interactive system. K-means algorithm is adopted to study the integration of big data interactive system of medical wastewater treatment. Analyze the exceeding degree of medical wastewater treatment to cluster, conduct secondary wastewater treatment, improve the treatment rate of wastewater, and verify the effectiveness of the algorithm through experimental simulation, thus completing the integration study of interactive system.