Fuente: Wipo "BigData" The invention discloses a community street environmental health supervision system and method based on big data, and relates to the technical field of environmental health supervision. According to the community street environmental health supervision system and method based on big data, garbage station data and cleaning data are collected in real time through multiple sensors, a periodic mode of garbage generation is identified by using a time sequence analysis technology, and the cleaning priority of garbage stations is evaluated. Based on a regression prediction algorithm, the system can predict the change trend of the garbage output, timely recognize the garbage accumulation problem and dynamically adjust the cleaning frequency and route of the garbage truck. By comprehensively analyzing the garbage cleaning efficiency and the cleaning coverage, the system generates a sanitary condition index of each street to help to judge whether the street meets the cleaning standard or not. According to the method, resource allocation can be optimized in real time according to data, the garbage cleaning efficiency and precision are improved, the garbage truck cleaning route is optimized, and the overall sanitation level of streets is effectively improved.