Ground settlement space monitoring method through Kriging interpolation based on genetic algorithm

Abstract

The invention discloses a ground settlement space monitoring method through Kriging interpolation based on a genetic algorithm. The method comprises the following steps of: acquiring coordinates and ground settlement of monitoring points; calculating distance among the monitoring points; dividing the distance into distance groups; calculating variation function values corresponding to the distance groups; determining a variation function model and fitting a variation curve; solving a Kriging weight coefficient; calculating settlement estimated values and conducting iterative computation; and encrypting settlement monitoring results through a grid method. On the basis of the traditional Kriging algorithm, the genetic algorithm is introduced, the variation function model is fit and natural logarithm is taken for regionalized variables, so as to reduce influences caused by distribution problems and abnormal values. Compared with the traditional settlement monitoring model, the ground settlement space monitoring method through Kriging interpolation based on the genetic algorithm has the characteristics of high estimation accuracy, high reliability and the like.

Description

technical field [0001] The invention relates to a monitoring model in the field of geographic information, in particular to a ground subsidence space monitoring method based on Kringing interpolation of genetic algorithm. Background technique [0002] Land subsidence is a common and increasingly obvious geological phenomenon. It is a kind of environmental geological change caused by regional ground elevation drop, a permanent irreparable loss of environment and resources, and a product of urbanization. It has seriously affected the ecological environment and infrastructure in the subsidence area, such as: the uneven settlement of the building foundation will cause the walls to tilt, crack, and even collapse; a large number of ground cracks caused by the subsidence deformation of the subgrade ground; If the height is lower than the river water level, the drainage function will be lost, and even the river will be flooded, resulting in waterlogging; the elevation of the flood ...

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Problems solved by technology

However, due to the limitations of the models themselves, the commonly used deterministic models, statistical models, artificial intelligence models, etc., have general settlement monitoring effects, poor applicability and adaptability, and are often difficult to meet the requirements in practical engineering applications.

[0003] On the other hand, land subsidence, as a regional variable, has a non-normal distribution, and the calculation of the variation function will appear obviously ill-conditioned, and the variation function is to square the difference between the regional variables, making the interpolation vulnerable to abnormal values ​​of the regional variables. The impact of the measurement error has a significant amplification effect

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