Horticultural tractor state monitoring method and system

Abstract

The invention provides a horticultural tractor state monitoring method and system, and the method comprises the steps: obtaining operation nodes of a tractor, and constructing a tractor state monitoring mechanism according to the operation nodes of the tractor; state monitoring is conducted on all the operation nodes according to a tractor state monitoring mechanism, and operation state parameters of all the operation nodes are obtained; and inputting the operation state parameters of each operation node as input feature vectors into the fault monitoring model for analysis, and outputting a tractor fault monitoring result. The tractor can be comprehensively and systematically monitored, whether the tractor has faults or not is accurately judged by analyzing state parameters of all operation nodes, problems can be found in advance, maintenance is timely, the operation efficiency of the tractor is improved, the service life of the tractor is prolonged, the use cost is reduced, and operation safety is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment detection, and particularly to a method and system for monitoring the state of a gardening tractor. Background Art

[0002] Currently, with the development of the gardening industry, the demand for intelligent and precise agricultural equipment is increasing continuously. As an important piece of equipment in gardening operations, a gardening tractor needs to have more advanced state monitoring capabilities, which helps to achieve intelligent operation scheduling;

[0003] However, traditional monitoring methods only perform local monitoring on a single system (such as the engine system), resulting in incomplete monitoring. When other faults occur, they cannot be discovered and processed in a timely manner, thus affecting the normal operation of the entire tractor. Moreover, in the prior art, due to the inability to effectively integrate and analyze the data of each system in the gardening tractor, it is impossible to understand the operating state of the tractor more accurately, comprehensively, and meticulously, which is not conducive to ensuring the efficiency of tractor state analysis and thus affects the operation effect of the tractor;

[0004] Therefore, in order to overcome the above technical problems, the present invention provides a method and system for monitoring the state of a gardening tractor. Summary of the Invention

[0005] The present invention provides a method and system for monitoring the state of a gardening tractor, which is used to effectively construct a state monitoring mechanism based on the operation nodes by obtaining the operation nodes of the tractor. Among them, the state monitoring mechanism is used to monitor the operating state parameters of each operation node. By inputting the operating state parameters as input feature vectors into the fault monitoring model for analysis and outputting the fault monitoring results, the tractor can be monitored comprehensively and systematically. By analyzing the state parameters of each operation node, it is possible to accurately determine whether there is a fault in the tractor, which helps to discover problems in advance, repair them in a timely manner, improve the operation efficiency and service life of the tractor, reduce the use cost, and ensure operation safety.

[0006] The present invention provides a method for monitoring the state of a gardening tractor, including:

[0007] Step 1: Obtain the operation nodes of the tractor and construct a tractor state monitoring mechanism according to the operation nodes of the tractor;

[0008] Step 2: Perform state monitoring on each operation node according to the tractor state monitoring mechanism to obtain the operating state parameters of each operation node;

[0009] Step 3: Input the operating state parameters of each operation node as input feature vectors into the fault monitoring model for analysis and output the fault monitoring results of the tractor.

[0010] Preferably, for a method for monitoring the state of a gardening tractor, in step 1, the operating nodes of the tractor include: the engine, suspension system, electro-hydraulic transmission system, and autopilot system of the tractor.

[0011] Preferably, for a method for monitoring the state of a gardening tractor, in step 1, obtain the operating nodes of the tractor, and construct a tractor state monitoring mechanism according to the operating nodes of the tractor, including:

[0012] Obtain the operating nodes of the tractor and determine the working attributes of each operating node in the tractor;

[0013] Determine the unit monitoring elements of each operating node according to the working attributes of each operating node in the tractor, and construct a state monitoring sub-mechanism for each operating node according to the unit monitoring elements;

[0014] Integrate the state monitoring sub-mechanisms of each operating node to obtain a tractor state monitoring mechanism.

[0015] Preferably, for a method for monitoring the state of a gardening tractor, integrate the state monitoring sub-mechanisms of each operating node to obtain a tractor state monitoring mechanism, including:

[0016] A monitoring management sub-terminal, a monitoring management terminal, and a monitoring management general terminal;

[0017] Among them, the unit monitoring element corresponds to the monitoring management sub-terminal, and the monitoring management sub-terminal is first distributedly connected to the monitoring management terminal, and determine the state monitoring sub-mechanism of each operating node according to the first distributed connection result;

[0018] Based on the monitoring management general terminal, perform a second distributed connection on the state monitoring sub-mechanisms, and complete the integration of the state monitoring sub-mechanisms of each operating node according to the second distributed connection result to obtain a tractor state monitoring mechanism.

[0019] Preferably, for a method for monitoring the state of a gardening tractor, in step 2, obtain the operating state parameters of each operating node, including:

[0020] Define the physical layer protocol of the CAN bus, establish a tractor information communication architecture based on the CAN bus, and at the same time, obtain the operating state parameters of each operating node according to the tractor information communication architecture.

[0021] Preferably, for a method for monitoring the state of a gardening tractor, in step 2, perform state monitoring on each operating node according to the tractor state monitoring mechanism, and obtain the operating state parameters of each operating node, including:

[0022] Collect state data at a preset frequency based on the tractor monitoring mechanism;

[0023] Read the collected status data, determine the data attributes of the status data, and at the same time, obtain the node attributes of each job node;

[0024] Classify and identify the data attributes of the status data according to the node attributes of the job node to determine the job node to which the status data belongs;

[0025] Divide the status data according to the classification and identification results, and pair the status data with the corresponding job node according to the division results;

[0026] Determine the status data under each job node;

[0027] Read the status data under each job node to determine the operating status data of each job node.

[0028] Preferably, for a method for monitoring the status of a gardening tractor, in step 3, before inputting the operating status parameters of each job node into the fault monitoring model, it includes constructing the fault monitoring model. The specific process is as follows:

[0029] Read the node labels of each job node and generate data retrieval requests corresponding to each job node according to the node labels;

[0030] Obtain the first target data set corresponding to the job node based on the data retrieval request in the preset data management library, where the first target data set is used to represent the fault data of the corresponding job node;

[0031] Obtain the reference operating data feature sample of the job node, and query the second target data set associated with the first target data set in the preset data management library according to the reference operating data feature sample, where the second target data set is used to represent the normal data of the corresponding job node;

[0032] Perform first feature learning on the first target data set corresponding to each job node respectively, and at the same time, perform second feature learning on the second target data set corresponding to each job node;

[0033] Construct a sub-fault monitoring model corresponding to each job node according to the first feature learning result and the second feature learning result;

[0034] Identify the first target data set to determine the fault categories in the first target data set, and at the same time, divide the first target data set according to the fault categories to obtain sub-target data sets corresponding to each fault category;

[0035] Retrieve the fault response strategies corresponding to the sub-target data sets in the preset solution strategy management library, use the sub-target data sets as index points, use the corresponding fault response strategies as knowledge points, and at the same time, connect the index points and the knowledge points to construct the knowledge base of each job node;

[0036] Associate the sub - fault monitoring model with the knowledge base to complete the construction of the fault monitoring model.

[0037] Preferably, for a method for monitoring the state of a gardening tractor, in step 3, the operating state parameters of each operation node are used as input feature vectors and input into the fault monitoring model for analysis, and the fault monitoring results of the tractor are output, including:

[0038] Obtain the recognition format and recognition key points of each operation node in the fault monitoring model;

[0039] Identify and extract key data from the operating state parameters of the corresponding operation node according to the recognition key points to obtain the key feature data of each operation node;

[0040] Convert the format of the key feature data of the corresponding operation node according to the recognition format to obtain the input feature vector of the corresponding operation node;

[0041] Input the input feature vector of each operation node into the fault monitoring model for analysis, and output the fault monitoring results of the tractor according to the analysis results.

[0042] Preferably, for a method for monitoring the state of a gardening tractor, the output of the fault monitoring results of the tractor includes:

[0043] The tractor is operating normally and the tractor is operating abnormally;

[0044] When the tractor is operating abnormally, determine the fault response strategy based on the fault monitoring model;

[0045] Display the tractor fault point and the fault response strategy on a preset display device.

[0046] The present invention provides a gardening tractor state monitoring system, including:

[0047] A mechanism construction module, configured to obtain the operation nodes of the tractor and construct a tractor state monitoring mechanism according to the operation nodes of the tractor;

[0048] A monitoring module, configured to perform state monitoring on each operation node according to the tractor state monitoring mechanism and obtain the operating state parameters of each operation node;

[0049] A fault analysis module, configured to use the operating state parameters of each operation node as input feature vectors and input them into the fault monitoring model for analysis, and output the fault monitoring results of the tractor.

[0050] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0051] By obtaining the operation nodes of the tractor, a status monitoring mechanism can be effectively constructed based on the operation nodes. Among them, the status monitoring mechanism is used to monitor the operating status parameters of each operation node. By inputting the operating status parameters as input feature vectors into the fault monitoring model for analysis and outputting the fault monitoring results, the tractor can be comprehensively and systematically monitored. By analyzing the status parameters of each operation node, it is possible to accurately determine whether there is a fault in the tractor, which helps to detect problems in advance, repair in a timely manner, improve the operation efficiency and service life of the tractor, reduce the use cost and ensure the operation safety.

[0052] Other features and advantages of the present invention will be described in the following specification, and, in part, will be apparent from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained by the structures specifically pointed out in this application document.

[0053] The technical solution of the present invention will be further described in detail below through the accompanying drawings and embodiments. Description of the Drawings

[0054] The drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0055] Figure 1 is a flowchart of a method for monitoring the status of a gardening tractor in an embodiment of the present invention;

[0056] Figure 2 is a flowchart of step 1 in a method for monitoring the status of a gardening tractor in Embodiment 3 of the present invention;

[0057] Figure 3 is a structural diagram of a system for monitoring the status of a gardening tractor in Embodiment 3 of the present invention. Detailed Embodiments

[0058] The following describes the preferred embodiments of the present invention with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and are not used to limit the present invention.

[0059] Embodiment 1:

[0060] This embodiment provides a method for monitoring the status of a gardening tractor, as Figure 1 shown, including:

[0061] Step 1: Obtain the operation nodes of the tractor and construct a tractor status monitoring mechanism according to the operation nodes of the tractor;

[0062] Step 2: Monitor the status of each operation node according to the tractor status monitoring mechanism, and obtain the operation status parameters of each operation node;

[0063] Step 3: Take the operation status parameters of each operation node as input feature vectors and input them into the fault monitoring model for analysis, and output the tractor fault monitoring results.

[0064] In this embodiment, the operation nodes of the tractor include: the engine, suspension system, electro-hydraulic transmission system, and automatic driving system of the tractor.

[0065] In this embodiment, define the physical layer protocol of the CAN bus, and establish a tractor information communication architecture based on the CAN bus; for the fault detection of the working machine, build a tractor status monitoring system framework based on the CAN bus information communication architecture. By collecting the working status information of the engine, suspension system, electro-hydraulic transmission system, and automatic driving system of the tractor, determine a variety of operation status parameters as the input feature vectors of the fault detection model, design a fault detection system, monitor the operation status of the key points of each main component and system of the tractor, and develop a monitoring system that can monitor the operation status of each system of the working machine in real time. When a certain system works abnormally, it can display the fault location and the fault troubleshooting plan in time.

[0066] In this embodiment, the fault monitoring model is a fault monitoring built on the basis of a knowledge base. That is, when there is a fault point, the fault response strategy (i.e., the fault troubleshooting plan) can be effectively located through the knowledge base, so as to realize the acquisition of fault identification and fault response strategy.

[0067] The working principle and beneficial effects of the above technical solution are: by obtaining the operation nodes of the tractor, effectively construct a status monitoring mechanism based on the operation nodes. Among them, the status monitoring mechanism is used to monitor the operation status parameters of each operation node. By taking the operation status parameters as input feature vectors and inputting them into the fault monitoring model for analysis, and outputting the fault monitoring results, it can comprehensively and systematically monitor the tractor. By analyzing the status parameters of each operation node, it can accurately judge whether there is a fault in the tractor, which helps to discover problems in advance, repair in time, improve the operation efficiency and service life of the tractor, reduce the use cost and ensure the operation safety.

[0068] Embodiment 2:

[0069] On the basis of Embodiment 1, this embodiment provides a method for monitoring the status of a gardening tractor. In Step 1, the operation nodes of the tractor include: the engine, suspension system, electro-hydraulic transmission system, and automatic driving system of the tractor.

[0070] Embodiment 3:

[0071] Based on Embodiment 1, this embodiment provides a method for monitoring the state of a gardening tractor. A method for monitoring the state of a gardening tractor is as follows: Figure 2 As shown, in step 1, obtain the operation nodes of the tractor, and construct a tractor state monitoring mechanism according to the operation nodes of the tractor, including:

[0072] Step 101: Obtain the operation nodes of the tractor and determine the working attributes of each operation node in the tractor;

[0073] Step 102: Determine the unit monitoring elements of each operation node according to the working attributes of each operation node in the tractor, and construct a state monitoring sub-mechanism for each operation node according to the unit monitoring elements;

[0074] Step 103: Integrate the state monitoring sub-mechanisms of each operation node to obtain a tractor state monitoring mechanism.

[0075] In this embodiment, the working attribute refers to the business content included in each operation node and the corresponding operation type, etc.

[0076] In this embodiment, the unit monitoring element refers to the main content for monitoring each operation node.

[0077] In this embodiment, the state monitoring sub-mechanism refers to the constructed state monitoring mechanism for monitoring each operation node.

[0078] The beneficial effects of the above technical solution are as follows: It ensures the accuracy and adaptability of constructing the tractor state monitoring mechanism, thus providing convenience and guarantee for monitoring the state of the gardening tractor.

[0079] Embodiment 4:

[0080] Based on Embodiment 3, this embodiment provides a method for monitoring the state of a gardening tractor. Integrate the state monitoring sub-mechanisms of each operation node to obtain a tractor state monitoring mechanism, including:

[0081] A monitoring management sub-terminal, a monitoring management terminal, and a monitoring management general terminal;

[0082] Among them, the unit monitoring element corresponds to the monitoring management sub-terminal, and the monitoring management sub-terminal is first distributedly connected to the monitoring management terminal, and determine the state monitoring sub-mechanism of each operation node according to the first distributed connection result;

[0083] Based on the monitoring management general terminal, perform a second distributed connection on the state monitoring sub-mechanisms, and complete the integration of the state monitoring sub-mechanisms of each operation node according to the second distributed connection result to obtain a tractor state monitoring mechanism.

[0084] The beneficial effects of the above technical solution are as follows: It accurately and effectively constructs a tractor status monitoring mechanism, thereby ensuring the comprehensiveness and reliability of monitoring the status of horticultural tractors.

[0085] Embodiment 5:

[0086] Based on Embodiment 1, this embodiment provides a method for monitoring the status of a horticultural tractor. In step 2, the operating status parameters of each operation node are obtained, including:

[0087] Define the physical layer protocol of the CAN bus, and establish a tractor information communication architecture based on the CAN bus. At the same time, obtain the operating status parameters of each operation node according to the tractor information communication architecture.

[0088] In this embodiment, the communication structure refers to the tool or framework for transmitting tractor information.

[0089] The beneficial effects of the above technical solution are as follows: It realizes the reliability of obtaining the operating status parameters of each operation node of the horticultural tractor, and further provides data support and guarantee for determining the status of the horticultural tractor.

[0090] Embodiment 6:

[0091] Based on Embodiment 1, this embodiment provides a method for monitoring the status of a horticultural tractor. In step 2, according to the tractor status monitoring mechanism, the status of each operation node is monitored, and the operating status parameters of each operation node are obtained, including:

[0092] Collect status data based on the tractor monitoring mechanism according to a preset frequency;

[0093] Read the collected status data, determine the data attributes of the status data, and at the same time, obtain the node attributes of each operation node;

[0094] Classify and identify the data attributes of the status data according to the node attributes of the operation node to determine the operation node to which the status data belongs;

[0095] Divide the status data according to the classification and identification results, and pair the status data with the corresponding operation node according to the division results;

[0096] Determine the status data under each operation node;

[0097] Read the status data under each operation node to determine the operating status data of each operation node.

[0098] In this embodiment, the preset frequency is set in advance and is used to represent the cycle or time interval for collecting status data.

[0099] In this embodiment, the data attribute refers to the data type corresponding to the status data and the corresponding value range.

[0100] In this embodiment, the node attribute refers to the business type corresponding to each job node, the job content, etc.

[0101] In this embodiment, the belonging job node refers to determining the corresponding relationship between different status data and different job nodes according to the node attribute and the data attribute.

[0102] The beneficial effects of the above technical solution are as follows: It ensures the accuracy of obtaining the operation status data of each job node, and provides reliable data support and guarantee for the status monitoring of the gardening tractor.

[0103] Embodiment 7:

[0104] Based on Embodiment 1, this embodiment provides a method for monitoring the status of a gardening tractor. In step 3, before inputting the operation status parameters of each job node into the fault monitoring model, it includes constructing the fault monitoring model. The specific process is as follows:

[0105] Read the node labels of each job node, and generate a data retrieval request corresponding to each job node according to the node labels;

[0106] Based on the data retrieval request, obtain the first target data set corresponding to the job node in the preset data management library, where the first target data set is used to represent the fault data of the corresponding job node;

[0107] Obtain the reference operation data feature sample of the job node, and query the second target data set associated with the first target data set in the preset data management library according to the reference operation data feature sample, where the second target data set is used to represent the normal data of the corresponding job node;

[0108] Perform first feature learning on the first target data set corresponding to each job node respectively. At the same time, perform second feature learning on the second target data set corresponding to each job node;

[0109] Construct a sub-fault monitoring model corresponding to each job node according to the first feature learning result and the second feature learning result;

[0110] Identify the first target data set to determine the fault category in the first target data set. At the same time, divide the first target data set according to the fault category to obtain a sub-target data set corresponding to each fault category;

[0111] Retrieve the fault response strategy corresponding to the sub-goal data set from the preset solution strategy management library. Using the sub-goal data set as the index point, take the corresponding fault response strategy as the knowledge point. At the same time, connect the index point and the knowledge point to construct the knowledge base for each job node;

[0112] Associate the sub-fault monitoring model with the knowledge base to complete the construction of the fault monitoring model.

[0113] In this embodiment, the node label refers to the marking symbol for distinguishing each job node.

[0114] In this embodiment, the preset data management library is set in advance and is used to store the fault data corresponding to different job nodes.

[0115] In this embodiment, the basic operation data feature sample refers to the operation state data corresponding to the normal operation of each job node and the value range corresponding to the operation state data, etc.

[0116] In this embodiment, the first feature learning refers to learning the value range and structure, etc. of the data in the first target data set.

[0117] In this embodiment, the second feature learning refers to learning the value range and structure, etc. of the data in the second target data set.

[0118] In this embodiment, the sub-fault monitoring model refers to a model that can perform fault monitoring and analysis on the operation state data of each job node.

[0119] In this embodiment, the sub-goal data set refers to the specific data content corresponding to each fault category.

[0120] In this embodiment, the fault response strategy refers to a solution or method that can effectively solve the fault.

[0121] In this embodiment, the index point refers to the information that can obtain and locate the sub-goal data set, that is, the corresponding fault response strategy can be quickly locked through the sub-goal data set.

[0122] The beneficial effects of the above technical solution are: realizing the reliable construction of the fault monitoring model, thus facilitating the effective monitoring of the state of the gardening tractor through the fault monitoring model, and further facilitating the quick discovery of abnormal situations when there are faults, ensuring the effect of the state monitoring of the gardening tractor.

[0123] Embodiment 8:

[0124] Based on Embodiment 1, this embodiment provides a method for monitoring the state of a gardening tractor. In step 3, the operating state parameters of each operation node are used as input feature vectors and input into the fault monitoring model for analysis, and the fault monitoring results of the tractor are output, including:

[0125] Obtain the recognition format and recognition key points of each operation node in the fault monitoring model;

[0126] Identify and extract key data from the operating state parameters of the corresponding operation node according to the recognition key points to obtain the key feature data of each operation node;

[0127] Convert the format of the key feature data of the corresponding operation node according to the recognition format to obtain the input feature vector of the corresponding operation node;

[0128] Input the input feature vector of each operation node into the fault monitoring model for analysis, and output the fault monitoring results of the tractor according to the analysis results.

[0129] In this embodiment, the recognition format refers to the format requirements for the fault monitoring model to recognize the operating state data corresponding to each operation node.

[0130] In this embodiment, the recognition key points refer to the data content that needs to be key-recognized when the fault monitoring model recognizes the content of each operation node.

[0131] In this embodiment, the key feature data refers to the data characteristics that can characterize the operating conditions of the operation node after key data recognition of the operating state parameters of the operation node.

[0132] The beneficial effects of the above technical solution are as follows: It is realized to analyze the input feature vectors of each operation node through the fault monitoring model, so as to determine whether there is a fault in the tractor and the specific situation of the fault when there is a fault, ensuring the accuracy and reliability of the fault monitoring.

[0133] Embodiment 9:

[0134] Based on Embodiment 8, this embodiment provides a method for monitoring the state of a gardening tractor. The output of the fault monitoring results of the tractor includes:

[0135] The tractor is operating normally and the tractor is operating abnormally;

[0136] When the tractor is operating abnormally, determine the fault response strategy based on the fault monitoring model;

[0137] Display the tractor fault point and the fault response strategy on the preset display device.

[0138] In this embodiment, the preset display device is pre-set and used to display the tractor fault points and fault response strategies.

[0139] The beneficial effects of the above technical solution are as follows: It realizes the display of the existing fault points of the tractor and the corresponding fault response strategies for the fault points, so as to facilitate the emergency response to the faults existing in the tractor according to the determined fault response strategies.

[0140] Embodiment 10:

[0141] This embodiment provides a state monitoring system for a gardening tractor, as Figure 3 shown, including:

[0142] A mechanism construction module, which is used to obtain the operation nodes of the tractor and construct a tractor state monitoring mechanism according to the operation nodes of the tractor;

[0143] A monitoring module, which is used to monitor the state of each operation node according to the tractor state monitoring mechanism and obtain the operation state parameters of each operation node;

[0144] A fault analysis module, which is used to input the operation state parameters of each operation node as input feature vectors into a fault monitoring model for analysis and output the tractor fault monitoring results.

[0145] The working principle and beneficial effects of the above technical solution are as follows: By obtaining the operation nodes of the tractor, a state monitoring mechanism can be effectively constructed based on the operation nodes. Among them, the state monitoring mechanism is used to monitor the operation state parameters of each operation node. By inputting the operation state parameters as input feature vectors into the fault monitoring model for analysis and outputting the fault monitoring results, the tractor can be monitored comprehensively and systematically. By analyzing the state parameters of each operation node, it can accurately judge whether the tractor has faults, which helps to discover problems in advance, repair in time, improve the operation efficiency and service life of the tractor, reduce the use cost and ensure the operation safety.

[0146] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these changes and modifications.

Claims

1. A method for monitoring the state of a garden tractor, characterized in that, Including: Step 1: Obtain the operation nodes of the tractor and construct a tractor status monitoring mechanism according to the operation nodes of the tractor; Step 2: Monitor the status of each operation node according to the tractor status monitoring mechanism, and obtain the operation status parameters of each operation node; Step 3: Input the operation status parameters of each operation node as input feature vectors into the fault monitoring model for analysis, and output the tractor fault monitoring results.

2. The state monitoring method of a gardening tractor according to claim 1, characterized in that In Step 1, the operation nodes of the tractor include: the engine, suspension system, electro-hydraulic transmission system and automatic driving system of the tractor.

3. The state monitoring method of a gardening tractor according to claim 1, characterized in that, In Step 1, obtaining the operation nodes of the tractor and constructing a tractor status monitoring mechanism according to the operation nodes of the tractor includes: Obtain the operation nodes of the tractor and determine the working attributes of each operation node in the tractor; Determine the unit monitoring elements of each operation node according to the working attributes of each operation node in the tractor, and construct a status monitoring sub-mechanism for each operation node according to the unit monitoring elements; Integrate the status monitoring sub-mechanisms of each operation node to obtain a tractor status monitoring mechanism.

4. A method for monitoring the state of a gardening tractor according to claim 3, characterized in that, Integrating the status monitoring sub-mechanisms of each operation node to obtain a tractor status monitoring mechanism includes: A monitoring management sub-terminal, a monitoring management terminal and a monitoring management general terminal; Among them, the unit monitoring element corresponds to the monitoring management sub-terminal, and the monitoring management sub-terminal is first distributedly connected to the monitoring management terminal, and the status monitoring sub-mechanism of each operation node is determined according to the first distributed connection result; Based on the monitoring management general terminal, the status monitoring sub-mechanisms are secondarily distributedly connected, and the integration of the status monitoring sub-mechanisms of each operation node is completed according to the second distributed connection result to obtain a tractor status monitoring mechanism.

5. A method for monitoring the state of a gardening tractor according to claim 1, characterized in that, In Step 2, obtaining the operation status parameters of each operation node includes: Define the physical layer protocol of the CAN bus, establish a tractor information communication architecture based on the CAN bus, and at the same time, obtain the operation status parameters of each operation node according to the tractor information communication architecture.

6. The method for monitoring the state of a gardening tractor according to claim 1, characterized in that, In Step 2, monitoring the status of each operation node according to the tractor status monitoring mechanism and obtaining the operation status parameters of each operation node includes: Collect status data according to a preset frequency based on the tractor monitoring mechanism; Read the collected status data, determine the data attributes of the status data, and at the same time, obtain the node attributes of each operation node; Classify and identify the data attributes of the status data according to the node attributes of the operation node to determine the operation node to which the status data belongs; Divide the status data according to the classification and identification results, and pair the status data with the operation node to which it belongs according to the division results; Determine the status data under each operation node; Read the status data under each operation node to determine the operation status data of each operation node.

7. A method for monitoring the state of a gardening tractor according to claim 1, characterized in that, Before inputting the operation status parameters of each operation node into the fault monitoring model in Step 3, it includes constructing the fault monitoring model. The specific process is as follows: Read the node labels of each operation node and generate data retrieval requests corresponding to each operation node according to the node labels; Obtain the first target data set corresponding to the job node in the preset data management library based on the data retrieval request, where the first target data set is used to represent the fault data of the corresponding job node; Obtain the benchmark operation data feature sample of the job node, and query the second target data set associated with the first target data set in the preset data management library according to the benchmark operation data feature sample, where the second target data set is used to represent the normal data of the corresponding job node; Perform first feature learning on the first target data set corresponding to each job node respectively. At the same time, perform second feature learning on the second target data set corresponding to each job node; Construct a sub-fault monitoring model corresponding to each job node according to the first feature learning result and the second feature learning result; Identify the first target data set to determine the fault category in the first target data set. At the same time, divide the first target data set according to the fault category to obtain a sub-target data set corresponding to each fault category; Retrieve the fault response strategy corresponding to the sub-target data set in the preset solution strategy management library. Use the sub-target data set as the index point, regard the corresponding fault response strategy as the knowledge point, and at the same time, connect the index point and the knowledge point to construct the knowledge base of each job node; Associate the sub-fault monitoring model with the knowledge base to complete the construction of the fault monitoring model.

8. The method for monitoring the state of a gardening tractor according to claim 1, characterized in that In step 3, input the operation status parameters of each job node as the input feature vector into the fault monitoring model for analysis, and output the tractor fault monitoring result, including: Obtain the identification format and identification key points of each job node in the fault monitoring model; Identify and extract the key data from the operation status parameters of the corresponding job node according to the identification key points to obtain the key feature data of each job node; Convert the format of the key feature data of the corresponding job node according to the identification format to obtain the input feature vector of the corresponding job node; Input the input feature vector of each job node into the fault monitoring model for analysis, and output the tractor fault monitoring result according to the analysis result.

9. The method for monitoring the state of a gardening tractor according to claim 8, characterized in that, The output of the tractor fault monitoring result includes: The tractor is operating normally and the tractor is operating abnormally; When the tractor is operating abnormally, determine the fault response strategy based on the fault monitoring model; Display the tractor fault point and the fault response strategy on the preset display device.

10. A state monitoring system for a gardening tractor, characterized in that, Including: A mechanism construction module for obtaining the job nodes of the tractor and constructing a tractor status monitoring mechanism according to the job nodes of the tractor; A monitoring module for monitoring the status of each job node according to the tractor status monitoring mechanism and obtaining the operation status parameters of each job node; A fault analysis module for inputting the operation status parameters of each job node as the input feature vector into the fault monitoring model for analysis and outputting the tractor fault monitoring result.

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