改进平均间隙法在某电厂沉降观测中的应用研究

Research on Application of Improved Mean Gap Method in Settlement Monitoring for a Thermal Power Plant

用于检验基准网稳定性的平均间隙法在寻找不稳定点时存在过程复杂、计算量大、检验对象受平差基准影响等不足。为解决这些问题,提出一种结合密度峰聚类的改进平均间隙法,并应用于某火电厂沉降监测。应用情况表明,与传统平均间隙法相比,改进平均间隙法能够正确检验出不稳定点,计算复杂度低,检验效率更高,结果的可靠性更高。

The mean gap method,which is often used to test the stability of reference network,has some defects in finding unstable points,such as complex process,large amount of calculation,and the test object is affected by the adjustment reference.An improved mean gap method combined with density peak clustering is proposed and successfully applied in the settlement monitoring of a thermal power plant.The application results show that the improved mean gap method can correctly detect the unstable points,with lower computational complexity,higher inspection efficiency and reliability.