Intelligent power distribution room sensor multi-dimensional data fusion abnormal event detection method and system and computer readable storage medium
A technology for multi-dimensional data and abnormal events, applied in computing, data processing applications, information technology support systems, etc., can solve problems such as low data utilization, effective use of multi-dimensional monitoring data, and failure to achieve multi-dimensional data association, and improve utilization. Effect
Pending Publication Date: 2022-04-12
GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
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[0004] In order to overcome the defects that the existing detection of power distribution room does not make effective use of multi-dimensional monitoring data, the association of multi-dimensional data is not realized, the data utilization rate is low, and the detection efficiency is low, the present invention provides an intelligent power distribution room sensor multi-dimensional data fusion Abnormal event detection method, system and computer-readable storage medium
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Embodiment 1
[0036] Such as figure 1 As shown, the first aspect of the present invention provides a method for detecting abnormal events of multi-dimensional data fusion of sensors in an intelligent power distribution room, including the following steps:
[0037] S1: Obtain the normal multi-dimensional sensing data of the power distribution room, and establish a normal sample database;
[0038] It should be noted that the normal multi-dimensional sensing data of the power distribution room in the present invention refers to a section of continuous normal operation data of the sensors in the power distribution room, and the sensor types mainly include temperature and humidity sensors, noise sensors, ozone sensors, sulfur tetrafluoride touch sensor, oxygen sensor, etc. The normal sample database is a collection of normal multi-dimensional sensing data of the power distribution room.
[0039] S2: Preprocessing the multidimensional data in the normal sample database to establish a multidimen...
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The invention discloses an intelligent power distribution room sensor multi-dimensional data fusion abnormal event detection method and system and a computer readable storage medium, and the method comprises the steps: S1, obtaining the normal multi-dimensional sensing data of a power distribution room, and building a normal sample database; s2, preprocessing the multi-dimensional data in the normal sample database, and establishing a multi-dimensional data correlation feature model; s3, preprocessing the real-time operation data of the power distribution room, inputting the preprocessed real-time operation data into the multi-dimensional data correlation characteristic model, analyzing the real-time operation data, judging whether the real-time operation data is abnormal or not, if the data is abnormal, turning to step S4, and if the data is normal, ending the current detection process, and detecting the data at the next moment; and S4, comparing and judging the abnormal data with a preset abnormal event library, if the abnormal data belongs to an abnormal event, outputting an abnormal event type, and if the abnormal data does not belong to the abnormal event, updating the model. According to the method, the relevance of the multi-dimensional data is fully utilized, and the utilization rate of the data and the detection efficiency of the abnormal event are improved.
Description
technical field [0001] The present invention relates to the technical field of intelligent detection in power distribution rooms, and more specifically, to a method, system and computer-readable storage medium for detecting abnormal events of multi-dimensional data fusion of sensors in an intelligent power distribution room. Background technique [0002] The power distribution room is an indispensable part of the power grid system. At the same time, the distribution of power distribution rooms in the power grid is large and the number is large, which increases the difficulty of management of the power distribution room. Manual inspection is time-consuming, inefficient, and heavy workload. Therefore, intelligent online monitoring systems and inspection robots have been developed and applied more in power distribution rooms. However, the data collected by the online monitoring system is seldom used effectively. A large amount of multi-dimensional monitoring data only forms un...
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IPC IPC(8): G06F11/30G06Q10/06G06Q50/06
CPCY04S10/50
Inventor 张敏方健王勇郝方舟杨帆何嘉兴林翔尹旷
Owner GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD