Remote detection method of agricultural machinery operation driving state of multiple judgment conditions

Abstract

The invention relates to the field of agricultural machinery Internet of Things, in particular to a remote detection method of an agricultural machinery operation driving state of multiple judgment conditions. The method comprises the following steps: collecting operation state information of agricultural machinery; clarifying the locations of all agricultural machinery; judging whether the agricultural machinery is in a driving state; and judging whether the lowering of the machinery and the driving speed of the agricultural machinery reaches a minimum speed threshold V0 / 3 to V0 / 2 are met atthe same time, on the basis that the above conditions are met, continuously comparing continuous front and back position data within a plurality of time periods T, calculating the distance between thetwo front and back position data, and judging whether the agricultural machinery is in an operation driving state. By adopting the remote detection method, whether the agricultural machinery is in inan agricultural operation state during driving through assorted Internet of Things equipment without depending on the own assorted sensor or signal of the agricultural machinery, the state information of the agricultural machinery is mastered in real time, and the demands of universal collection of state data of the agricultural machinery through an agricultural machinery Internet of Things are met.

Description

technical field [0001] The invention relates to the field of the Internet of Things of agricultural machinery, in particular to a method for remotely detecting the operating state of agricultural machinery with multiple judgment conditions. Background technique [0002] With the rapid development of precision agriculture, the requirements for agricultural machinery informatization and intelligence are becoming increasingly strong. The agricultural Internet of Things realizes intelligent control of agricultural machinery. The general application is to form a monitoring network with a large number of sensor nodes, and collect information to help farmers detect problems in a timely manner and accurately determine where the problems occur, so that agriculture will gradually shift from a human-centered production model that relies on isolated machinery to a production model that is centered on information and software. Various automated, intelligent, and remote-controlled product...

AI Technical Summary

Problems solved by technology

[0003] The existing Internet of Things for agricultural machinery can intelligently monitor, manage, and control the driving route, operating area, workload, and quality of agricultural machinery, and perform precise operations on the operating area of ​​the farmland. Agricultural machinery provides different interfaces and installation conditions for the installation of IoT devices, especially for the purchase of agricultural machinery, and then separately installs IoT devices separately. It is difficult for IoT devices to directly connect to the existing agricultural machinery itself. On the sensor, lead or signal interface, it is impossible to directly obtain some status information of agricultural machinery

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