Equipment state monitoring method and monitoring system based on edge cloud collaboration and storage medium
A technology of equipment status and similar equipment, applied in general control systems, control/regulation systems, program control in sequence/logic controllers, etc., can solve the problem of slow server speed, small data volume, and inundation of useful data for diagnostic equipment and other problems to achieve the effect of improving accuracy and high effective information density
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Embodiment 1
[0159] In view of the above problems, this embodiment provides a device status monitoring method based on edge-cloud collaboration, which captures device operation information including characteristic parameters such as current ripples, and cooperates with edge-side computing, cloud storage, and autonomous learning to monitor device status. monitor.
[0160] Such as figure 1 shown, and also refer to figure 2 The data flow diagram of the device status monitoring method based on edge-cloud collaboration is shown. The device status monitoring method based on edge-cloud collaboration includes steps:
[0161] Step S1): Collect the operation information of at least one device, the operation information includes at least one of current, voltage, vibration, noise, temperature, strain, and posture.
[0162] In the prior art, PLC or ammeter is used for collection, usually a point is collected periodically, or an average value is obtained for a period of time. These methods have info...
Embodiment 2
[0271] Industrial artificial intelligence requires big data for autonomous learning. However, if all data is collected and sent to the cloud big data center through the industrial Internet of Things, the amount of data is too large, and massive data is a huge burden for cloud transmission, storage, and calculation. . If the results of simple calculations are only sent to the cloud, although the amount of data is reduced, there is no raw data of specific events, so it is impossible to form sample data for autonomous learning.
[0272] This embodiment provides a monitoring system corresponding to the edge-cloud collaboration-based device status monitoring method of the embodiment.
[0273] Such as Figure 6-1 As shown, a device status monitoring system based on edge-cloud collaboration includes an edge side 1, a cloud 2, and a terminal 3. The terminal 3 can be a mobile phone 31 or a computer 32, for example.
[0274] The edge side 1 includes a data acquisition unit 11, a data ...
Embodiment 3
[0328] This embodiment provides a distributed storage medium, which stores a plurality of instructions, which can be set in different location spaces or areas according to different processing functions, including:
[0329] Set on the edge side, suitable for being loaded and executed by the processor:
[0330] Collect the operating information of at least one piece of equipment, including at least one of current, voltage, vibration, noise, temperature, strain, and attitude; among them, at least one piece of equipment is the same type of equipment or different types of equipment in the same workspace , or the same type of equipment or different types of equipment in different workspaces;
[0331] Process and cache the collected running information;
[0332] Perform feature extraction on the cached operating information, and the feature parameters obtained by feature extraction include: at least one of amplitude, peak value, action time, frequency component or combined calculat...
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