Water turbine abnormity early warning method and device and machine readable storage medium
A water turbine and abnormal monitoring technology, applied in the field of machine-readable storage medium and abnormal early warning of water turbines, can solve problems such as low efficiency and poor detection effect of abnormal abnormal information.
Pending Publication Date: 2022-04-29
腾安电子科技(江苏)有限公司
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Problems solved by technology
[0002] At present, there are problems such as poor detection effect and low efficiency in the detection of abnormal movement information based on the status acquisition system of hydraulic turbines.
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[0036] Such as figure 1 as shown, figure 1 It is a schematic flowchart of a water turbine abnormality early warning method provided by the application, and the water turbine abnormality early warning method can be executed and realized by a water turbine monitoring system. The water turbine abnormal early warning method includes the following steps.
[0037] Step STP100, obtaining the turbine state vector sequence collected by the water turbine state collection system, the water turbine state vector sequence including the water turbine state vectors of multiple turbine state activities in the preset monitoring partitions corresponding to the water turbine state collection system.
[0038] In step STP200, respectively obtain the turbine abnormality early warning process corresponding to the turbine abnormality early warning item of the target turbine state activity among the plurality of hydraulic turbine state activities, and obtain the hydraulic turbine abnormality early war...
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The invention provides a water turbine abnormity early warning method and device and a machine readable storage medium, and the method comprises the steps: respectively obtaining a water turbine abnormity early warning process corresponding to a water turbine abnormity early warning item of a target water turbine state activity in a plurality of water turbine state activities, and obtaining a water turbine abnormity early warning process combination, secondly, combining the water turbine abnormality early warning process with the previously obtained water turbine state vectors of each water turbine state activity to perform feature association with the water turbine state vectors of the plurality of water turbine state activities to obtain a plurality of pieces of feature association basic information, so that key abnormality monitoring basic information can be obtained; and starting the corresponding water turbine abnormity early warning process to detect the abnormity transaction information corresponding to the current abnormity monitoring item. Thus, the abnormal and abnormal movement information is detected after feature association is carried out on the state vectors of the multiple water turbines with the state activities, and the detection efficiency of the abnormal and abnormal movement information under water turbine abnormal early warning can be improved.
Description
technical field [0001] The present application relates to the technical field of water turbines, in particular, to a water turbine abnormality early warning method, device and machine-readable storage medium applied in the environment of the Internet of Things. Background technique [0002] At present, there are problems such as poor detection effect and low efficiency in the detection of abnormal movement information based on the turbine state acquisition system. Contents of the invention [0003] In view of the above problems, in the first aspect, the present application provides a hydraulic turbine abnormal early warning method, which is applied to a hydraulic turbine monitoring system, and the hydraulic turbine monitoring system is connected to a hydraulic turbine state acquisition system by communication. The method includes: [0004] Obtaining the turbine state vector sequence collected by the hydraulic turbine state acquisition system, the hydraulic turbine state ve...
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IPC IPC(8): G06Q10/04G06F16/2458G06F16/2455
CPCG06Q10/04G06F16/2465G06F16/24564
Inventor 程伟华
Owner 腾安电子科技(江苏)有限公司