Landslide multi-level safety evaluation method based on composite cloud model
A security evaluation and cloud model technology, applied in the direction of complex mathematical operations, instruments, data processing applications, etc., can solve the problems of insufficient index differences, different dimensions, orders of magnitude, etc.
Pending Publication Date: 2020-10-20
HOHAI UNIV
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The weight obtained by the CRITIC method not only reflects the amount of information, but also has significant advantages, but the dimensions and magnitudes of the indicators are often different, and the standard deviation is insufficient to measure the differences of the indicators.
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[0119] The main distribution elevation of a landslide is 1480m-1910m, and the slope is generally 15°-35°. The landslide rock mass in front of the dam is selected to be arranged with 7 GNSS measuring points arranged on 2 sections for surface displacement monitoring, which are measuring points GTP01-GTP04 and GTP06~GTP08; 4 multi-point displacement gauges M-01~M-04 for deep displacement monitoring; 4 anchor rod stress gauges and 6 anchor cable dynamometers. Indexes are selected from the aspects of geological conditions, deformation monitoring, environmental quantity monitoring, stress and strain monitoring, and patrol inspection. The multi-level safety system of landslides, such as figure 2 shown.
[0120] The landslide safety level is divided into five levels, namely very safe, safe, basically safe, dangerous and very dangerous. In order to make the comment value interval between each safety level as balanced as possible, the landslide level is divided, and the cloud model co...
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The invention discloses a landslide multi-level safety evaluation method based on a composite cloud model. The landslide multi-level safety evaluation method comprises the following steps of (1) establishing a landslide multi-level safety evaluation system; (2) dividing landslide evaluation grades, and determining a cloud model conversion mode, dividing the landslide evaluation grades into five grades, and converting expectation Ex, entropy En and hyper-entropy He of bottom end indexes by adopting different index modes; (3) determining the combined weight of each index, correcting the index weight obtained by the DEMATEL method by adopting the objective weight obtained by the improved CRITIC method to obtain the combined weight; (4) improving the virtual cloud by adopting the index weight,and carrying out layer-by-layer recursion from the bottom layer to the top layer to finally obtain a total comprehensive evaluation value cloud; and (5) determining the final grade of landslide safety evaluation. The method is advantaged in that a problem that grading boundary information has fuzziness and random terms in the landslide safety evaluation process is solved, the landslide multi-level safety evaluation model is established in combination with the combined weight, the algorithm is simple, adaptability is high, and landslide safety evaluation is more reasonable, scientific and safer.
Description
technical field [0001] The invention relates to a landslide safety comprehensive evaluation method, in particular to a landslide multi-level safety evaluation method based on a compound cloud model. Background technique [0002] As an open complex system, landslide safety is affected by various internal and external factors. Because many factors affecting landslide safety are difficult to estimate and describe quantitatively, the safety evaluation research of landslides has uncertain characteristics such as fuzziness and randomness. The compound cloud model landslide safety evaluation analysis method introduces various cloud generators of the cloud model into the landslide safety evaluation analysis, which can analyze and solve the uncertainty problem very well. The fuzziness can reflect the randomness of the landslide problem through the "cloud droplets" generated by randomization. [0003] The compound cloud model is introduced into the landslide safety evaluation proble...
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Login to View More IPC IPC(8): G06F17/16G06Q10/06
CPCG06F17/16G06Q10/06393
Inventor 徐卫亚赵旭菲王环玲闫龙
Owner HOHAI UNIV