Sewage pipeline blockage and bottle neck detection using hybrid sensor and Geo-spatial data analysis

SEWAGE PIPELINE BLOCKAGE AND BOTTLE NECK DETECTION USING HYBRID SENSOR AND GEO-SPATIAL DATA ANALYSIS Abstract: In today's world, improper cleaning of sewage waste may result in the blockage in the pipeline system affect the surrounding environment. Accumulation of sewage waste is also mainly due to the increase in population. The damaged pipeline system due to the blockage causes the sewage overflow is threatening to all living organisms. The tightness in water and efficiency in functionalities becomes the primary requirement for the sewage system. But factors like maintenance cost, aging, and old techniques used in the construction make them a failure or break providing improper guarantee with respect to service and its life. This brings the attention of the researchers to research more on the issues and problems arising due to the sewer network. There have been numerous methods being proposed for the detection of the sewage pipe issues mainly for sewer pipe degradation models and rehabilitation of the network. Thus, a proper solution to this problem involves the detection of the degradation problem before breaking the sewer pipelines. Thus, the deterioration of the sewer pipes has three factors namely 1. Structure failure, 2. Operational failure, and 3. The capacity of hydraulic failures. When the integrity of the structure fails, there is an occurrence of structural failure in the segments of the pipe. This includes corrosion, misalignment of joints, deflection, and cracks. This invention is intended for the development of the method for the detection of the blockage and overflow of the sewage pipeline. This detection method involves hybrid sensors and remote sensing techniques. The analysis and detection of sewage blocks involve the GIS (Geographical Information System). The hybrid sensor can be placed in all structural areas in large numbers, and this is used to determine the location with the number of features. This is used along with web service as a monitoring application. SEWAGE BLOCKAGE DATA IS COLLECTED USING HYBRIDSEOR MONITORING MODULE DATA PROCESSING MODULE ] LPO STGEOG RAPH ICA L1 INFORMATION SYSTEM {GIS) DATABASE ENGINES * GML MAPN PROCESSING *TRANSFORMATION MAPPINGOFSICL AT * MODULE OJC TTSIADT BLOCKAGE IN SEWAGE DRAIN Figure 2: Sewage block detection using GIS web services.