Gardening tractor fault detection system

Abstract

A horticultural tractor fault detection system provided by the present invention comprises a control host, a data acquisition module and a display early warning module, the data acquisition module comprises a tractor data acquisition module and a driving system data acquisition module, the tractor data acquisition module is used for detecting state data in the operation process of a tractor, and the driving system data acquisition module is used for displaying the state data. The driving system state acquisition module is used for receiving data generated by a tractor driving system, and the control host is used for receiving data of the tractor data acquisition module and the driving system data acquisition module, analyzing abnormal data and inputting an analysis result into the display early warning module for display early warning. The tractor data acquisition module, the driving system data acquisition module and the display early warning module are electrically connected with the control host; the operation state data of the tractor is collected and analyzed, the fault type is comprehensively judged through the control host in combination with the analysis result and the collected data, and the fault can be accurately recognized and analyzed.

Description

Technical Field

[0001] The invention relates to the technical field of gardening tractors, and in particular to a fault detection system for gardening tractors. Background Art

[0002] With the continuous development of modern agricultural mechanization technology, the performance and safety of horticultural tractors, as key equipment in agricultural production, have a direct impact on agricultural production efficiency. Horticultural tractors use more electronic control systems, which improves the automation of horticultural tractors, but also increases the difficulty of maintenance and maintenance, making it prone to various faults. Therefore, the development of an effective fault detection system is crucial to ensure the normal operation of horticultural tractors and improve agricultural production efficiency. Summary of the invention

[0003] In view of this, an object of the present invention is to provide a garden tractor fault detection system to at least solve the above problems.

[0004] The technical solution adopted by the present invention is as follows:

[0005] A garden tractor fault detection system comprises a control host, a data acquisition module and a display warning module, wherein the data acquisition module comprises a tractor data acquisition module and a driving system data acquisition module, wherein the tractor data acquisition module is used to detect the state data of the tractor during operation, and the driving system state acquisition module is used to receive the data generated by the tractor driving system, and the control host is used to receive the data of the tractor data acquisition module and the driving system data acquisition module, and analyze the abnormal data, and input the analysis result into the input display warning module for display warning, and the tractor data acquisition module, the driving system data acquisition module and the display warning module are all electrically connected to the control host.

[0006] The driving system data acquisition module is used to receive data generated by the tractor driving system. Specifically, the driving system data acquisition module collects the operating data generated by the driving system of the tractor during operation, including the speed, acceleration and posture of the tractor during movement. The posture of the tractor during movement includes a normal posture and a tilted posture.

[0007] Furthermore, the tractor data acquisition module includes a directional microphone, a vibration sensor and a temperature sensor, and the directional microphone, vibration sensor and temperature sensor are all arranged on the engine system, suspension system and electronically controlled hydraulic transmission system to collect noise data, vibration data and temperature data. The directional microphone is arranged at a concentrated sound source on the engine system, suspension system and electronically controlled hydraulic transmission system and faces the concentrated sound source. The tractor data acquisition module processes the data collected by the directional microphone, vibration sensor and temperature sensor, and sends the processed data to the control host.

[0008] Furthermore, the tractor data acquisition module also includes an ambient sound microphone, and the ambient sound microphones are all arranged at the directional microphones. The ambient sound microphones and the directional microphones are arranged in the same plane, and the angle between the sound pickup openings of the ambient sound microphone and the directional microphone is 60 degrees.

[0009] Furthermore, the tractor data acquisition module processes the data collected by the directional microphone, the vibration sensor, and the temperature sensor specifically as follows: the ambient noise data collected by the ambient sound microphone is used to remove the ambient sound in the noise data collected by the directional microphone, and the noise data, vibration data, and temperature data after the ambient sound is removed are preprocessed to remove outliers and duplicate values ​​in the data, and the missing values, outliers, and duplicate values ​​are filled by interpolation method; and feature extraction is performed on the preprocessed data.

[0010] Furthermore, the control host is used to detect the data collected by the tractor detection module and the operation detection module. Specifically, the control host compares the features extracted from the collected noise data, vibration data, and temperature data with the features of the noise data, vibration data, and temperature data under normal operation to identify abnormal data.

[0011] Furthermore, the control host is used to detect the data collected by the tractor detection module and the operation detection module, and analyze the abnormal data. The specific steps are as follows:

[0012] Step 1: Collect noise data, vibration data and temperature data of the engine system, suspension system and electronically controlled hydraulic transmission system of the tractor under normal operation and different fault operation states, perform preprocessing and feature extraction, and fuse the features of the noise data, vibration data and temperature data collected on the same system;

[0013] Step 2: Establish a fault recognition model, input the features fused in step 1 into the fault recognition model for training, and label the features of each data and the fused features with corresponding fault type labels;

[0014] Step 3: The abnormal data features of the engine system, suspension system, and electronically controlled hydraulic transmission system identified by the control host are fused with the data features of the noise data, vibration data, and temperature data at the same time including the abnormal data according to the same system, and the fused features are input into the trained fault recognition model. The fault recognition model recognizes the data and obtains the abnormal data fault type.

[0015] Furthermore, the control host analyzes the abnormal data fault type obtained by the fault identification model and the noise data, vibration data, temperature data on the same system at the same time as the abnormal data, as well as the system data collected by the driving system data acquisition module, and gives the fault type, fault cause and fault location of the fault data, and inputs the result into the display warning module for display warning.

[0016] Compared with the prior art, the present invention has the following beneficial effects:

[0017] The present invention provides a garden tractor fault detection system, which can comprehensively and accurately identify faults by collecting noise, vibration and temperature data from faulty parts such as engine systems, suspension systems, and electronically controlled hydraulic transmission systems, and using the collected data for fault analysis. The fault cause is analyzed by combining the fault identification result with the collected fault data and the data of the driving system, which increases the comprehensiveness of the data analysis, ensures the accuracy of the analysis result, and facilitates the search and repair after the fault occurs. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only preferred embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 It is a schematic diagram of the overall structure of the system of an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The principles and features of the present invention are described below in conjunction with the accompanying drawings. The enumerated embodiments are only used to explain the present invention and are not used to limit the scope of the present invention.

[0021] Reference Figure 1The present invention provides a garden tractor fault detection system, comprising a control host, a data acquisition module and a display warning module, wherein the data acquisition module comprises a tractor data acquisition module and a driving system data acquisition module, wherein the tractor data acquisition module is used to detect the state data of the tractor during operation, and the driving system state acquisition module is used to receive the data generated by the tractor driving system, and the control host is used to receive the data of the tractor data acquisition module and the driving system data acquisition module, and analyze the abnormal data, and input the analysis result into the input display warning module for display warning, and the tractor data acquisition module, the driving system data acquisition module and the display warning module are all electrically connected to the control host.

[0022] Exemplarily, various data during the operation of the tractor are detected and collected, and combined with data in the tractor driving system to analyze the tractor's fault conditions.

[0023] The driving system data acquisition module is used to receive data generated by the tractor driving system. Specifically, the driving system data acquisition module collects the operating data generated by the driving system of the tractor during operation, including the speed, acceleration and posture of the tractor during movement. The posture of the tractor during movement includes a normal posture and a tilted posture.

[0024] Exemplarily, the driving system data acquisition module collects data generated by the tractor during operation to provide auxiliary data for subsequent fault analysis.

[0025] The tractor data acquisition module includes a directional microphone, a vibration sensor and a temperature sensor, which are all arranged on the engine system, the suspension system, and the electronically controlled hydraulic transmission system to collect noise data, vibration data and temperature data. The directional microphone is arranged at the concentrated sound source on the engine system, the suspension system, and the electronically controlled hydraulic transmission system and faces the concentrated sound source. The tractor data acquisition module processes the data collected by the directional microphone, the vibration sensor, and the temperature sensor, and sends the processed data to the control host.

[0026] The tractor data acquisition module also includes an ambient sound microphone, which is arranged at the directional microphone. The ambient sound microphone and the directional microphone are arranged in the same plane, and the angle between the sound pickup openings of the ambient sound microphone and the directional microphone is 60 degrees.

[0027] The tractor data acquisition module processes the data collected by the directional microphone, the vibration sensor, and the temperature sensor specifically as follows: the ambient noise data collected by the ambient sound microphone is used to remove the ambient sound in the noise data collected by the directional microphone, and the noise data, vibration data, and temperature data after the ambient sound is removed are preprocessed to remove abnormal values ​​and duplicate values ​​in the data, and the missing values, abnormal values, and duplicate values ​​are filled by using the interpolation method; and feature extraction is performed on the preprocessed data.

[0028] For example, different noises are often generated when a fault occurs. Therefore, directional microphones can be set at key parts and fault-prone parts of the tractor according to actual needs, and the directional microphones can be aimed at the concentrated sound-emitting area to collect noise. In order to eliminate the noise of other components and the sound interference caused by ambient sound, an ambient sound microphone is set at each directional microphone to collect the noise of other components and ambient sound. The noise data collected by the ambient sound microphone is used to clear the noise of the noise data in the directional microphone. The directional microphone has strong directionality and has a significant difference between the audio data collected in the pointing direction and other directions. Therefore, the audio data collected by the ambient sound microphone can be used to clear the noise collected in the directional microphone without affecting the noise data in the pointing direction of the directional microphone.

[0029] The control host is used to detect the data collected by the tractor detection module and the operation detection module. Specifically, the control host compares the features extracted from the collected noise data, vibration data, and temperature data with the features of the noise data, vibration data, and temperature data under normal operation to identify abnormal data.

[0030] Exemplarily, when the control host performs data identification, if one of the data on the same system is abnormal, all the data at the same time are abnormal data.

[0031] The control host is used to detect the data collected by the tractor detection module and the operation detection module, and analyze the abnormal data. The specific steps are as follows:

[0032] Step 1: Collect noise data, vibration data and temperature data of the engine system, suspension system and electronically controlled hydraulic transmission system of the tractor under normal operation and different fault operation states, perform preprocessing and feature extraction, and fuse the features of the noise data, vibration data and temperature data collected on the same system;

[0033] Step 2: Establish a fault recognition model, input the features fused in step 1 into the fault recognition model for training, and label the features of each data and the fused features with corresponding fault type labels;

[0034] Step 3: The abnormal data features of the engine system, suspension system, and electronically controlled hydraulic transmission system identified by the control host are fused with the data features of the noise data, vibration data, and temperature data at the same time including the abnormal data according to the same system, and the fused features are input into the trained fault recognition model. The fault recognition model recognizes the data and obtains the abnormal data fault type.

[0035] Exemplarily, known fault types and data are used to train the fault identification model, and feature fusion of data from the same system at the same time is used to perform model training and identification, so that the model can obtain more information and achieve better model performance.

[0036] The control host analyzes the abnormal data fault type obtained by the fault identification model and the noise data, vibration data, temperature data on the same system at the same time as the abnormal data, as well as the system data collected by the driving system data acquisition module, and gives the fault type, fault cause and fault location of the fault data, and inputs the results into the display warning module for display warning.

[0037] For example, the control host can perform a comprehensive analysis based on the analysis of the collected abnormal data and the data in the driving system to provide detailed information about the fault.

[0038] It should be noted that the control host, display warning module, driving system data acquisition module, directional microphone, ambient sound microphone, vibration sensor, temperature sensor, etc. used in this application are all existing electronic components in the field. Those skilled in the art can obtain the circuit structure of the control host, display warning module, driving system data acquisition module, directional microphone, ambient sound microphone, vibration sensor, temperature sensor and other electronic components and the circuit connection structure between them based on the existing public technical knowledge and technical information. The embodiments of this application will not be further elaborated on this, and those skilled in the art can freely choose the corresponding model according to their needs. This embodiment is not specifically limited here.

[0039] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A garden tractor fault detection system, characterized in that: It includes a control host, a data acquisition module and a display and warning module. The data acquisition module includes a tractor data acquisition module and a driving system data acquisition module. The tractor data acquisition module is used to detect the status data during the operation of the tractor. The driving system status acquisition module is used to receive the data generated by the tractor driving system. The control host is used to receive the data from the tractor data acquisition module and the driving system data acquisition module, and analyze the abnormal data, and input the analysis results into the input display and warning module for display and warning. The tractor data acquisition module, the driving system data acquisition module, and the display and warning module are all electrically connected to the control host.

2. A garden tractor fault detection system according to claim 1, characterized in that: The driving system data acquisition module is used to receive data generated by the tractor driving system. Specifically, the driving system data acquisition module collects the operating data generated by the driving system of the tractor during operation, including the speed, acceleration and posture of the tractor during movement. The posture of the tractor during movement includes a normal posture and a tilted posture.

3. A garden tractor fault detection system according to claim 2, characterized in that: The tractor data acquisition module includes a directional microphone, a vibration sensor and a temperature sensor, which are all arranged on the engine system, the suspension system, and the electronically controlled hydraulic transmission system to collect noise data, vibration data and temperature data. The directional microphone is arranged at the concentrated sound source on the engine system, the suspension system, and the electronically controlled hydraulic transmission system and faces the concentrated sound source. The tractor data acquisition module processes the data collected by the directional microphone, the vibration sensor, and the temperature sensor, and sends the processed data to the control host.

4. A garden tractor fault detection system according to claim 3, characterized in that: The tractor data acquisition module also includes an ambient sound microphone, which is arranged at the directional microphone. The ambient sound microphone and the directional microphone are arranged in the same plane, and the angle between the sound pickup openings of the ambient sound microphone and the directional microphone is 60 degrees.

5. A garden tractor fault detection system according to claim 4, characterized in that: The tractor data acquisition module processes the data collected by the directional microphone, the vibration sensor, and the temperature sensor in the following specific steps: using the ambient noise data collected by the ambient sound microphone to remove the ambient sound in the noise data collected by the directional microphone, performing data preprocessing on the noise data, vibration data, and temperature data after the ambient sound is removed, removing abnormal values ​​and duplicate values ​​in the data, and filling the missing values, abnormal values, and duplicate values ​​by using the interpolation method; Perform feature extraction on the preprocessed data.

6. A garden tractor fault detection system according to claim 5, characterized in that: The control host is used to detect the data collected by the tractor detection module and the operation detection module. Specifically, the control host compares the features extracted from the collected noise data, vibration data, and temperature data with the features of the noise data, vibration data, and temperature data under normal operation to identify abnormal data.

7. A garden tractor fault detection system according to claim 6, characterized in that: The control host is used to detect the data collected by the tractor detection module and the operation detection module, and analyze the abnormal data. The specific steps are as follows: Step 1: Collect noise data, vibration data and temperature data of the engine system, suspension system and electronically controlled hydraulic transmission system of the tractor under normal operation and different fault operation states, perform preprocessing and feature extraction, and fuse the features of the noise data, vibration data and temperature data collected on the same system; Step 2: Establish a fault recognition model, input the features fused in step 1 into the fault recognition model for training, and label the features of each data and the fused features with corresponding fault type labels; Step 3: The abnormal data features of the engine system, suspension system, and electronically controlled hydraulic transmission system identified by the control host are fused with the data features of the noise data, vibration data, and temperature data at the same time including the abnormal data according to the same system, and the fused features are input into the trained fault recognition model. The fault recognition model recognizes the data and obtains the abnormal data fault type.

8. A garden tractor fault detection system according to claim 7, characterized in that: The control host analyzes the abnormal data fault type obtained by the fault identification model and the noise data, vibration data, temperature data on the same system at the same time as the abnormal data, as well as the system data collected by the driving system data acquisition module, and gives the fault type, fault cause and fault location of the fault data, and inputs the results into the display warning module for display warning.

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