Equipment detection method and device, controller and medium

Abstract

The invention relates to an equipment detection method and device, a controller and a medium, and the method comprises the steps: controlling intermediate equipment to establish communication connection with offline equipment when the equipment is detected to be in an offline state, the intermediate equipment being online equipment in a preset range; obtaining current network configuration information of the offline equipment through the intermediate equipment; and determining an offline reason of the offline device based on the current network configuration information. According to the invention, remote operation and maintenance debugging can be carried out on the off-line equipment after the equipment is off-line, the process of searching for the off-line reason of the equipment is accelerated, and the off-line detection efficiency and accuracy of the equipment are improved.

Description

technical field [0001] The present invention relates to the technical field of intelligent equipment control, in particular to an equipment detection method, device, controller and medium. Background technique [0002] With the rapid development of the Internet of Things technology, more and more smart devices have joined the Internet of Things, and the Internet of Things technology can be used to control the work of smart devices and provide users with more intelligent services. For example, existing convenience stores also contain a large number of smart devices, and many devices need to be kept running 7*24 hours. All running devices can be uniformly maintained and controlled by the device platform, and the device platform can detect abnormal operation of the device in time. Monitor, issue alarms and, if necessary, operate equipment remotely. [0003] However, many factors in real scenarios will make the device offline. Once the device is offline, the control and managem...

AI Technical Summary

Problems solved by technology

[0003] However, many factors in the real scene will make the device offline. Once the device is offline, the control and management of the offline device cannot be realized. Therefore, it is necessary to detect the reason for the offline device as soon as possible and formulate a corresponding recovery strategy.

If the offline equipment is directly detected by the operation and maintenance personnel, the detection process will be very cumbersome and inaccurate, the labor cost will be high, and the detection efficiency will be low.

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