Control method and system of execution equipment

Abstract

The invention provides a control method and system of execution equipment which are applied to a fog computing network, and the fog computing network comprises a fog end control center, execution equipment with a sensing device and a first network. The method comprises the steps that the fog end control center monitors the execution equipment through the first network; and if it is monitored thatthe execution equipment operates abnormally, the fog end control center acquires sensing data of normal execution equipment within a certain range of abnormal execution equipment, and controls the abnormal execution equipment according to the sensing data of the normal execution equipment. According to the invention, by constructing the fog computing network, the execution equipment has an edge computing capability, and a series of influences on the execution equipment caused by the abnormity of the sensing device are eliminated. The method and the system are applied to the field of urban lighting, a series of processes such as monitoring, alarming, correcting and operation and maintenance of street lamps can be realized, the load pressure of the cloud is reduced, the cost is reduced, andmeanwhile, a series of problems caused by abnormal light control are solved.

Description

technical field [0001] The present invention relates to the field of equipment control, in particular, to a control method and system for executing equipment. Background technique [0002] Fog Computing, a model in which sensory data, (sensing data) processing and applications are concentrated in devices at the edge of the network, rather than being stored almost entirely in the cloud, is a part of Cloud Computing. Extend the concept. Fog computing is an extension of the concept of cloud computing. It mainly uses devices in the edge network, and the transmission of sensory data has extremely low delay. Fog computing has a vast geographical distribution and a large-scale sensor device network with a large number of network nodes. Fog computing has good mobility. Mobile phones and other mobile devices can communicate directly with each other. The signal does not need to go around the cloud or even the base station, which supports high mobility. Fog computing is not some pow...

AI Technical Summary

Problems solved by technology

Street lamps are generally installed on both sides of the road, and various external factors will affect the light control system of street lamps. Once the light control system is affected, the brightness adjustment ability of street lamps will be lost, and maintenance personnel can only rely on maintenance personnel for repairs

The maintenance process is complicated, and the repair time is long, which consumes a lot of labor and time costs. During the repair process, the lighting conditions of the street lights are affected, which affects the lighting effect of the surrounding environment, increases the probability of accidents, and seriously affects the operation of the urban lighting system.

[0005] The light sensor device of the street lamp needs to run for a long time, the service life is reduced, and the maintenance cost is increased

Urban lighting requires a large number of street lamps, and cloud control is difficult to control execution equipment with a large base. Based on the attributes of the execution equipment itself, there is no need for too much sensor data transmission, which will cause a waste of cloud resources.

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