Electric power Internet of Things multi-dimensional monitoring processing method, device and platform based on cloud-side cooperation
A technology of electric power Internet of things and disposal methods, which is applied in hardware monitoring, neural learning methods, electrical digital data processing, etc., can solve problems such as low efficiency, slow disposal, and high delay in remote operation and maintenance, so as to improve operation and maintenance efficiency and disposal Fast speed, the effect of reducing the pressure of data explosion and network traffic
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Embodiment 1
[0044] The technical concept of the present invention is: according to the multi-dimensional operation log information, the edge device close to the terminal device side cooperates with the cloud management platform remotely, and uses the artificial intelligence algorithm to perform more accurate real-time analysis and disposal of network faults, providing an intelligent edge Self-government capability, capable of executing corresponding handling strategies according to fault types.
[0045] Intelligent monitoring and disposal using cloud-side collaboration: According to multi-dimensional monitoring log information, the Internet of Things uses edge devices close to the terminal to remotely collaborate with the cloud management platform, and delegates cloud computing tasks to edge devices, using edge computing capabilities to realize some abnormalities Localized processing of logs and execution of corresponding disposal strategies to provide intelligent edge autonomy capabilitie...
Embodiment 2
[0084] Based on the same inventive concept as in Embodiment 1, a cloud-edge collaboration-based multi-dimensional monitoring and processing method for the Internet of Things of the present invention is executed in an edge device, including the following process:
[0085] Collect the operation log information of each edge device in the power Internet of Things;
[0086] Filter out the abnormal log information from the operation log information, perform fault judgment on the abnormal log information to obtain the corresponding fault type, and execute the corresponding disposal strategy for the fault type, if the execution of the disposal strategy fails, send the abnormal log information to the IoT management platform.
[0087] Optionally, the fault judgment on abnormal log information includes:
[0088] The fault judgment model based on random forest algorithm training is used to judge the abnormal log information.
Embodiment 3
[0090] Based on the same inventive concept as in Embodiment 2, an edge device of the present invention includes:
[0091] The edge monitoring module collects the operation log information of each edge device in the power Internet of Things, and uploads the operation log information to the edge processing module;
[0092] The side disposal module screens out the abnormal log information from the received operation log information, performs fault judgment on the abnormal log information to obtain the corresponding fault type, and executes the processing strategy corresponding to the fault type. If the processing strategy fails to execute, the abnormal The log information is sent to the IoT management platform.
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