Visualization processing method and system for abnormal geological disaster data
A technology for abnormal data and geological disasters, applied in digital data processing, special data processing applications, relational databases, etc., can solve problems such as complex geological environment and affecting data, and achieve the effect of flexible and convenient operation
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Embodiment 1
[0040] This embodiment discloses a method for visually processing abnormal geological disaster data, which specifically includes the following steps.
[0041] Step S1. Obtain the chronologically arranged geological disaster monitoring data sequence of any sensor and the detection mode currently configured by the user.
[0042] In this step, the sensor can be used to collect any one of geological disaster monitoring data including horizontal displacement, depth displacement, settlement, inclination, crack or stress and strain.
[0043]Preferably, before this step, the following preprocessing can be performed on the monitoring data, so as to filter data that is not within the collection time range and not within the normal measurement range from two aspects of time and value:
[0044] 1. Perform null value anomaly detection on the data. For example: take three times the time step as the threshold, and if it exceeds this threshold, it will be regarded as an abnormal null value. ...
Embodiment 2
[0077]Corresponding to the above-mentioned embodiments, this embodiment discloses a system for visualizing geological disaster anomaly data, including a memory, a processor, and a computer program stored in the memory and operable on the processor, wherein the processor executes The computer program implements the corresponding steps of the above method embodiments.
[0078] To sum up, the method and system for visually processing geological disaster abnormal data disclosed in the embodiments of the present invention have at least the following beneficial effects:
[0079] On the one hand, it is convenient for users to configure different detection modes according to different needs, and the operation is flexible and convenient. On the other hand, since the four types of faults can be complementary and the two detection methods can also be complementary, the multi-level complementary relationship can ensure the recall and precision of abnormal data screening; Disaster predict...
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