An Algorithmic Of Water Pipes Burst Detection Based Upon Probability

The burst pipe detection for water supply pipes expects as early as possible to find the burstpipes of water supply pipes. So not only can reduce the loss of large amounts of tap water, butalso reduce the impact around the site of the burst pipe. With constantly improve of the dataacquisition system, making the detection of burst pipes to be possible. However, due to thehigh cost of the water supply line monitoring equipment parameters, it is not possible to coverthe entire network. Therefore calculated pipe explosion occurred the probability size, by theresults of the high probability alarm to timely discovery squib. We build a water supplypipeline data using online monitoring to detect the the pipeline burst pipes probabilityalgorithmic. The algorithmic for the principle accompanied by dramatic changes in the watersupply pipeline burst pipes, calculated the probability of pipeline exists the possibility of burstpipes quantitative indicators. The higher the probability of the results determinate to the alarmitem, and thereby obtain the geographic scope of its existence. Finally, specific programmingof this algorithmic is implemented as software used in the actual water supply pipeline burstpipe detection. In the definition of the algorithmic and describe the principle process, we havea preliminary study of its rationality, and can be further improved local.