A distributed acquisition architecture device for multi-computer cooperation

Abstract

The present invention realizes a method and device for reliable high-frequency data collection of industrial robots. By adopting a high-frequency reliable collection framework on a single device, through the three-part collection process of creating a device entity, establishing a collection task, and executing a collection task, abstract The collection actions of similar devices form a unified data interface to return the collected device-related parameters, realizing the separation of collection definition and implementation. Multiple devices are formed into a distributed cluster, and distributed clusters are used to process requests. The collected devices deploy the cache component Kafka, through the Leader election mechanism, task allocation according to the load of each collection device, heartbeat mechanism, and fault handling mechanism , realize the transfer of collection tasks when a device fails, use the cooperation of multiple devices to improve the reliability of collection, and use the data transmission mechanism of the caching component Kafka to transmit the collected data to the cloud at one time.

Description

technical field [0001] The invention relates to the technical field of edge computing of the industrial Internet, in particular to a method and device for reliable high-frequency data collection of industrial robots. Background technique [0002] In the field of industrial robots, the main application directions of the new generation of information technology are predictive maintenance and production process optimization. These applications build analysis and prediction models by analyzing the operation data of robots in the production environment and the industrial data of sensors, and use the models to provide Maintenance and process optimization of robots as a service. [0003] Whether it is predictive maintenance of robots or optimization of production processes, it is necessary to ensure that the industrial data analyzed is complete, continuous, and will not be lost in large quantities. This requires that the industrial data collection of the system is sufficiently stab...

AI Technical Summary

Problems solved by technology

In the actual network environment, the network may fluctuate or even be directly disconnected. At this time, the gateway cannot upload data to the cloud. After the network is restored, this part of the data will be lost. The direct consequence is that the subsequent generated application model is inaccurate

Even if a dual-route transmission method is used to deal with the problem of unreliable data transmission caused by network fluctuations, the existing technology only statically specifies two transmission routes. When one of the transmission routes fails, an alternate route is selected for transmission. At the same time, if there is a blockage, the system will still not be able to upload the data

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