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Method for judging operation states of agricultural machine based on GPS and engine data

A GPS data and job status technology, applied in database indexing, structured data retrieval, special data processing applications, etc., can solve problems such as low accuracy, and achieve the effect of avoiding discrimination errors and data loss.

Active Publication Date: 2019-07-19
LUOYANG INTELLIGENT AGRI EQUIP RES INST CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

This method is less accurate when the operating trajectories overlap or the GPS coordinate density differs greatly

Method used

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  • Method for judging operation states of agricultural machine based on GPS and engine data
  • Method for judging operation states of agricultural machine based on GPS and engine data
  • Method for judging operation states of agricultural machine based on GPS and engine data

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Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0031] see Figure 1-4 , the present invention provides a technical solution: a method for judging the working state of agricultural machinery based on GPS and engine data, including the method S1 of training the discrimination model, the method S2 of calling the model for prediction, and the method S3 of refining the start and end time of the working state ;

[0032] S1) the method for training discrimination model comprises the following steps:

[0033] S1...

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Abstract

The invention discloses a method for judging operation states of an agricultural machine based on GPS and engine data. The method is characterized by comprising the steps: (S1) a distinguishing modelis trained, specifically, (S11) working data of the machine are obtained, specifically, the GPS data and the engine control unit (ECU) data of the agricultural machine under the different states, namely the operating state, the field transferring state and the idle state are collected, and the GPS data comprise the instantaneous speed and the steering angle of the agricultural machine; (S2) the model is called for prediction; and (S3) the beginning and stopping moments of the operation states are refined. By collecting the ECU and GPS data of the agricultural machine under the different operation states, each type of data is marked, the distinguishing model is trained through the marked data, and then the model is used for distinguishing the operation states of the agricultural machine; dependence on the GPS density of the agricultural machine is avoided, and the distinguishing error caused by change of the GPS density is avoided; and the judging model is trained aiming at the situation of the data loss, and decreasing, caused by the data loss, of the accuracy rate of the judgment result is avoided.

Description

technical field [0001] The invention relates to the technical field of intelligent agricultural machinery equipment, in particular to a method for judging the operating state of agricultural machinery based on GPS and engine data. Background technique [0002] The modern agricultural system has changed from manpower and animal power to mechanical power. The biggest difference is whether the power form is mechanized. However, further improving the production efficiency of agricultural mechanization requires intensive cultivation, precise control and precise use of mechanical power. The operating status of agricultural machinery is closely related to the failure of agricultural machinery, the efficiency of the transmission system, and the quality of operation. Accurate identification of the operating status of agricultural machinery is of great significance to the identification of agricultural machinery faults, the improvement of the agricultural machinery transmission syste...

Claims

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Application Information

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IPC IPC(8): G07C5/08G06K9/62G06F16/22
CPCG07C5/0808G07C5/0841G06F16/2228G06F18/2411G06F18/214
Inventor 李盈盈冯云鹤王志端李松松
Owner LUOYANG INTELLIGENT AGRI EQUIP RES INST CO LTD
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