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In some economically underdeveloped regions , the development of small hydropower stations is an effective way for the development of the regional economy . But these power stations due to the small investment , small scale , can not be equipped with a comprehensive inspection , monitoring equipment , combined with weak sense of quality and other reasons , the cause is difficult to control the quality of this part of the power plant . Ignore construction quality inspection problem a number of reasons : on the one hand , the quality awareness of engineering construction side is weak , blind to grab progress , to be effective ; On the other hand , the water pressure test as a primary means of traditional detection methods , because of its time-consuming effort to affect the construction schedule and cost characteristics of the construction unit and the owners are not willing to carry out quality inspection work . In practical work , in order to solve the above problems , computer technology, automated detection technology and traditional detection technologies combine to explore a cost-effective , accurate and convenient non-destructive testing program . That uses sound waves and ultra-deep wave detection technology for large-scale census , through data threshold determination through the establishment of the detection parameters database and detection data with which to compare , distinguish quality defects . If you find abnormal data , and then use the traditional method for quantitative detection of abnormal data area , such as abnormal data , that the quality standards of the regional hydropower unit works . The main subject of the various regions in the construction of small hydropower stations , quality control of the construction period .
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