Method for carrying out fault diagnosis on wireless sensor networks

Abstract

The invention relates to the field of wireless sensor networks and fault diagnosis, and discloses a method for carrying out fault diagnosis on wireless sensor networks. The method comprises the following steps: S1, carrying out online real-time acquisition on data measured by sensor nodes in a wireless sensor network; S2, detecting the fault of a single sensor node by using the space and time characteristics of the data; S3, detecting the fault of the whole wireless sensor network by using the correlation between two adjacent nodes; S4, carrying out attribute reduction on parameters obtained in the steps S2 and S3; and S5, obtaining a fault diagnosis result of the wireless sensor network according to the attribute reduction result obtained in the step S4. In the invention, the fault of a single sensor node is detected by using the space and time characteristics of data measured by sensor nodes in a wireless sensor network, and the rapid and correct fault detection on all nodes in the network by using the correlation between the nodes is realized.

Description

technical field [0001] The invention relates to the field of wireless sensor network and fault diagnosis, in particular to a wireless sensor network fault diagnosis method suitable for indoor aquaculture. Background technique [0002] From the research on indoor aquaculture water quality monitoring system at home and abroad, the current research on indoor aquaculture water quality monitoring system based on wired technology is relatively mature, but when this system is applied, the room must be covered with a large number of signal transmission lines and The power line leads to difficulties in facility construction, complex installation and maintenance, heavy workload, high cost, and low reliability. At the same time, it limits the application of mobile operating equipment such as agricultural robots. The existing indoor aquaculture water quality monitoring system based on wired technology is not conducive to further improving the automation, intelligence, and "unmanned" deg...

AI Technical Summary

Problems solved by technology

However, there are few studies on fault diagnosis of wireless sensor network (WSN) in indoor aquaculture water quality monitoring system.

[0003] Since the WSN of the indoor aquaculture water quality monitoring system works in a high-temperature and high-humidity water environment, and the sensor nodes in the WSN are generally powered by batteries and send and receive data through wireless communication, there are shortcomings such as limited energy and weak anti-interference ability, so the sensor nodes Higher chance of failure

Once the WSN of the indoor aquaculture pond water quality monitoring system fails and cannot detect the source of the fault in time and handle it, it may cause network paralysis, reduce system reliability, and even cause the measurement and control system to go out of control, endangering the production safety of the entire indoor aquaculture pond

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