Sensor-based intelligent landslide data processing method
A landslide, intelligent processing technology, applied in the direction of instruments, alarms, etc., can solve the problems of very high database space requirements, making data query difficult, affecting the operation efficiency and real-time performance of prediction algorithms, and improving rationality and accuracy. , the effect of reducing the burden
Inactive Publication Date: 2019-09-06
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology
The existing landslide monitoring system only acquires and stores these sensor data. This method has certain disadvantages. For example, due to the huge amount of data, it requires a very high database space and makes data query and other operations difficult. ; In addition, because these data are directly used for the input of the forecasting algorithm without processing, it will affect the operating efficiency and real-time performance of the forecasting algorithm
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Embodiment 1
[0037] The present invention realizes through following technical scheme, the method for intelligent processing of landslide data based on sensor, as figure 1 shown, including the following steps:
[0038] S100: Obtain the monitoring data of various sensors installed in the mountain, and draw a visualization curve.
[0039] Specifically, this embodiment acquires the monitoring data of seven sensors installed in the mountain, and the seven sensors are temperature sensors, water content sensors, pore water pressure sensors, earth pressure sensors, rainfall sensors, vibration sensors, Displacement sensors, but not limited to the above sensors in practice. According to the real-time monitoring data of the sensor, it is drawn as a visualized dynamic curve, such as figure 2 As shown, the soil temperature-time curve, soil water content-time curve, pore water pressure-time curve, earth pressure-time curve, rainfall-time curve, vibration-time curve, displacement-time curve are respe...
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The invention relates to the technical field of intelligent data processing, and discloses a sensor-based intelligent landslide data processing method. The method comprises the following steps of obtaining monitoring data of multiple sensors arranged in a mountain and drawing a visual curve; filtering and screening the data according to the drawn curve; establishing fuzzy subordinating degree functions for the filtered and screened data; discretizing and fuzzifying the fuzzy subordinating degree functions, and dividing the data into rank values of fuzzy sets in the fuzzy subordinating degree functions; calculating the support degree and confidence coefficient of each fuzzy set through an association rule mining algorithm so as to obtain an association rule, and calculating a mountain safety coefficient according to the association rule; and generating the obtained association rule and the mountain safety coefficient into an intelligent statement. According to the method, effective analysis and intelligent processing are carried out after the sensor data is obtained, so that the burdens of the database and the algorithm are decreased to a certain extent, and the rationality and correctness of the landslide prediction are improved at the same time.
Description
technical field [0001] The invention relates to the technical field of data intelligent processing, in particular to a sensor-based method for intelligent processing of landslide data. Background technique [0002] Landslides are currently a hot spot in scientific research at home and abroad. It should be noted that data plays an important role in landslide monitoring and prediction, and since landslide monitoring is a long-term accumulation process, the amount of data measured by sensors is huge. The calculation of landslide probability based on sensor data and the neural network algorithm continue to develop. [0003] In the landslide monitoring and prediction algorithm, ensuring the rationality and correctness of the data can ensure the high-speed operation of the algorithm and the real-time performance and accuracy of the results. Therefore, it is useful to analyze and process the sensor data in the landslide prediction system in advance. Necessary, this can reduce unne...
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CPCG08B21/10
Inventor 蒋泽中华泽玺龙中秀王大林贾成君王红珠张玉白鹏飞施会斌
Owner SOUTHWEST JIAOTONG UNIV