An anomaly detection method, device and related equipment for sensor monitoring data
A technology for monitoring data and anomaly detection, which is applied to instruments, computing, character and pattern recognition, etc. It can solve problems such as large limitations and small scope of application, and achieve the effect of improving applicability and meeting industrial needs.
Active Publication Date: 2022-06-21
湖南工商大学
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[0009] The present invention provides an anomaly detection method, device, computer equipment and storage medium for sensory monitoring data, in order to solve the technical problem that the existing anomaly detection method has a large limitation and a small application range
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[0031] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0032] The anomaly detection method for sensor monitoring data provided in this application can be applied in such as figure 1 In the application environment, in which the computer equipment communicates with the server through the network. Among them, the computer equipment can be but not limited to various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices. The server can be implemented as...
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The invention discloses an anomaly detection method for sensor monitoring data, which is applied in the technical field of sensor anomaly data processing and is used to solve the technical problem that the existing anomaly detection method has a large limitation and a small application range. The method provided by the present invention includes: facing the current measured data in the sensor monitoring data, selecting corresponding training data from the sensor monitoring data according to preset rules to construct a training set; constructing a detection model based on the training set , and obtain the corresponding model error features according to the detection model; calculate the fitting degree of the detection model according to the model error characteristics; obtain the abnormal threshold interval according to the fitting degree; determine the abnormal threshold interval according to the abnormal threshold interval Whether the current measured data is abnormal.
Description
technical field [0001] The invention relates to the technical field of abnormal data processing of sensors, and in particular to an abnormal detection method, device, computer equipment and storage medium for sensor monitoring data Background technique [0002] In the manufacturing, communication, transportation and other industries, sensors are very dependent on the detection and monitoring of related equipment and facilities to judge whether the related equipment and facilities are operating normally. If the sensor fails, it will affect the control of the state of the equipment and facilities, and even cause serious safety accidents. [0003] The existing sensor anomaly detection methods mainly include the following: [0004] (1) Construct a neural network to detect abnormal data points by using a preset threshold interval or using a prediction model. [0005] (2) Model building and training using historical offline data and real-time data. [0006] (3) Use the autocorr...
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IPC IPC(8): G06K9/62
CPCG06F18/22G06F18/214
Inventor 曹文治柏天翼刘利枚曾阳艳柯泓明
Owner 湖南工商大学