Industrial flow equipment chain detection method for distributed type wireless sensing network

Abstract

The invention discloses an industrial flow equipment chain detection method for a distributed type wireless sensing network. The method comprises the following steps: based on a property of industrialflow equipment that a parameter space is dispersed and a time sequence is continuous, carrying out frequency difference variation space-time correlation signal sensing and transmission by adopting the distributed type wireless sensing network, and carrying out wireless sensing information interaction corroborative fault situation estimation on an industrial flow equipment chain; developing local-central two-grade distributed type fault chain construction and expert database self-learning. According to the industrial flow equipment chain detection method disclosed by the invention, wireless sensing node sensing and node communication functions, and industrial parameter sensing, equipment fault estimation and the expert database self-learning are combined; when industrial equipment state detection is carried out, predication of equipment faults is also realized in advance, so that the practicability and reliability of carrying out industrial flow equipment detection by utilizing the wireless sensing network are enhanced.

Description

technical field [0001] The invention relates to the technical field of industrial process, in particular to a method for detecting industrial process equipment chains using a distributed wireless sensor network. Background technique [0002] There are many different production processes, processes, and stages in the industrial production process. These different parts are inherently coupled and interrelated. By using the theory of system theory to optimize the entire industrial process, the entire production process can be greatly improved. Process efficiency and effectiveness. As an important component of the manufacturing industry, industrial process equipment has the characteristics of scattered space, complex structure, and high degree of automation. Different from the discrete manufacturing industry, its products are assembled from multiple parts through discontinuous processes, and the failure of a single device will not affect the entire manufacturing process; the me...

AI Technical Summary

Problems solved by technology

At present, wireless sensor networks are used for equipment detection, and most of them use a single sensor node to sense parameters and upload them to the working mode of the data processing unit. The data processing unit makes data judgments. When the device has a hidden fault, the single sensor node senses the parameters. Normal, the probability of equipment failure cannot be reduced through failure prediction, so by the time a single sensor node perceives parameters to indicate equipment failure, a major accident has often occurred

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