Tube bursting positioning method based on artificial immunity system

Abstract

The invention relates to a relevant control technology for tube bursting accidents of a water supply tube network and provides a tube bursting positioning method based on an artificial immunity system. The artificial immunity system is constructed so as to recognize and position a possible tube bursting position, so that the possible tube bursting occurrence area is greatly reduced, and finally the time for accurately positioning the tube bursting position is reduced. The tube bursting positioning method comprises the following steps: firstly, acquiring adequate tube bursting operation data by virtue of simulating the tube bursting of the water supply tube network; then according to the correlation theory of the artificial immunity system, training the operation data of burst tubes and constructing one artificial immunity system; finally recognizing the operation data of new tube bursting accidents according to the artificial immunity system and finally determining possible tube bursting occurrence positions according to a nearest neighbor classification method. Compared with a same-type tube bursting detection technology, the tube bursting positioning method provided by the invention can be used for achieving higher computation efficiency and obtaining more accurate possible tube bursting region.

Description

technical field [0001] The invention relates to a method for locating a squib, in particular to a method for effectively locating a squib area based on an artificial immune system. Background technique [0002] The "Report of the State Council on Guaranteeing Drinking Water Safety Work" issued by the 27th meeting of the Standing Committee of the Eleventh National People's Congress pointed out that the problem of leakage of urban water supply pipe networks in my country is still prominent. At present, the annual leakage of water in the country reaches 6 billion cubic meters, and the average leakage rate of urban water supply pipe networks exceeds 20%, and the leakage rate of more than half of urban water supply pipe networks is higher than the national standard. According to the "Urban Water Supply Network Leakage Control and Assessment Standard" issued by the former Ministry of Construction in 2002, the basic leakage rate of urban water supply enterprise pipe networks must b...

AI Technical Summary

Problems solved by technology

But its disadvantages are: (1) Accurate transient model and boundary conditions of the pipe network are required, and the model error is the main limiting factor for its application in the actual pipe network; (2) A large number of high-sensitivity sensors are often required for high-speed Frequency Sampling Measurements

However, such methods can only identify whether the explosion occurred, but cannot provide more accurate information on the location of the explosion

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