Agricultural machinery fault detection equipment and detection method based on big data

Abstract

The embodiment of the invention discloses agricultural machinery fault detection equipment and detection method based on big data. The equipment comprises a lifting supporting device, the lifting supporting device comprises a rectangular base, four vertical oil cylinders and a supporting plate. A jacking device is mounted on the supporting plate; an anti-toppling device is installed on the side portion of the supporting plate. An observation through groove is formed in the center of the bottom end of the supporting plate; a temperature detection device and a tail gas conveying pipe are mountedon the side wall of the observation through groove; the bottom end of the tail gas conveying pipe is connected with a tail gas analyzer; the method comprises the following steps: formulating a properdetection scheme according to the working performance of agricultural machinery; an operator detects the agricultural machine according to the maintenance scheme; whether bottom-end equipment of theagricultural machine is normal or not is comprehensively analyzed through state information such as images, sound and temperature of tail gas, operation and flameout states of the agricultural machine, detection is more thorough and effective, detection is carried out according to the principles of fault priority detection and important part sequential detection, and the detection efficiency is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of agricultural machinery, in particular to a method for detecting faults in agricultural machinery based on big data. Background technique [0002] The rapid development of agricultural machinery and its application in rural areas has accelerated the structural innovation of rural agricultural labor in my country, which has promoted the construction of new rural areas and the development of rural economy in China. [0003] Agricultural machinery refers to various machinery used in crop planting and animal husbandry production, as well as in the primary processing and handling of agricultural and animal products. Agricultural machinery includes agricultural power machinery, farmland construction machinery, soil tillage machinery, planting and fertilization machinery, plant protection machinery, farmland drainage and irrigation machinery, crop harvesting machinery, agricultural product p...

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Problems solved by technology

[0006] To this end, the embodiment of the present invention provides an agricultural machinery fault detection device based on big data, which comprehensively analyzes whether the bottom end equipment of the agricultural machinery is Normal, through multiple aspects to analyze whether there is a fault in the agricultural machinery, the detection is more thorough and effective, and the detection is based on the principle of fault priority detection and important parts sequential detection, the detection is more orderly, and the detection efficiency is improved to solve the problem of agricultural machinery detection equipment in the prior art. Problems of inconsistency and inconvenient detection

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