Data monitoring management system of agricultural equipment

Abstract

The invention discloses a data monitoring management system for agricultural equipment, and relates to the field of agricultural equipment management, and the system comprises a management center which is in communication connection with a data collection module, a data processing module, a data analysis module and an information feedback module. The data acquisition module is used for performing data acquisition on target agricultural production equipment to obtain corresponding equipment information; the data processing module is used for carrying out data processing on the collected equipment information and judging whether the corresponding agricultural production equipment is abnormal or not according to a processing result; the data analysis module is used for performing fault diagnosis on the corresponding agricultural production equipment according to the obtained abnormal early warning to obtain a corresponding diagnosis result; the information feedback module is used for taking corresponding feedback measures according to the obtained fault warning; the agricultural production efficiency and safety are effectively improved, and the equipment failure rate is reduced.

Description

Technical Field

[0001] The present invention relates to the field of agricultural equipment management, and in particular to a data monitoring and management system for agricultural equipment. Background Art

[0002] With the development of science and technology, agricultural production equipment is increasingly used in agricultural production, and the intelligent management of agricultural production equipment is particularly important;

[0003] Compared with the existing technology, most of the existing agricultural production equipment management methods are still at the stage of manual operation and management, and cannot achieve real-time monitoring and remote control of the equipment, resulting in inefficient use of equipment and increasing the cost of agricultural production. These are the problems we need to solve, so we provide a data monitoring and management system for agricultural equipment. Summary of the invention

[0004] The purpose of the present invention is to provide a data monitoring and management system for agricultural equipment.

[0005] The object of the present invention can be achieved by the following technical solutions: A data monitoring and management system for agricultural equipment, comprising a management center, wherein the management center is communicatively connected with a data acquisition module, a data processing module, a data analysis module and an information feedback module;

[0006] The data acquisition module is used to collect data on the target agricultural production equipment to obtain corresponding equipment information;

[0007] The data processing module is used to process the collected equipment information and determine whether the corresponding agricultural production equipment has an abnormality based on the processing result;

[0008] The data analysis module is used to perform fault diagnosis on the corresponding agricultural production equipment according to the abnormal warning obtained, and obtain the corresponding diagnosis result;

[0009] The information feedback module is used to take corresponding feedback measures according to the obtained fault warning.

[0010] Furthermore, the data acquisition module collects data from the target agricultural production equipment to obtain corresponding equipment information, including:

[0011] The data acquisition module is provided with a plurality of acquisition nodes, and the acquisition nodes are arranged at the mechanical data in the target agricultural production equipment according to the requirements;

[0012] Based on the collection node, data is collected on the mechanical parts of the corresponding agricultural production equipment to obtain corresponding mechanical data, which includes engine speed, vibration frequency, etc.; all the collected mechanical data are summarized to obtain corresponding equipment information.

[0013] Furthermore, the data processing module processes the collected equipment information, and determines whether the corresponding agricultural production equipment is abnormal based on the processing result, including:

[0014] Read the collected device information, perform data preprocessing on the collected device information, and after the preprocessing is completed, periodically upload and store the collected device information data to the management center;

[0015] Constructing a two-dimensional rectangular coordinate system of mechanical data in time, and mapping the collected mechanical data into the corresponding two-dimensional rectangular coordinate system to obtain a corresponding mechanical data change curve, wherein the mechanical data change curve includes an engine speed curve and an engine vibration curve;

[0016] Read the obtained engine speed curve and obtain the standard speed corresponding to the corresponding agricultural production;

[0017] Correcting the corresponding engine speed curve based on the standard speed to obtain a corresponding speed change curve;

[0018] Obtaining a corresponding first standard coefficient and a second standard coefficient based on the obtained speed change curve, and performing weighted summation on them to obtain a corresponding speed standard coefficient;

[0019] The obtained engine vibration curve is processed by the above method to obtain the corresponding vibration standard coefficient;

[0020] Perform weighted summation on the obtained speed standard coefficient and vibration standard coefficient to obtain the corresponding equipment standard coefficient;

[0021] Set a standard threshold, compare the obtained equipment standard coefficient with the standard threshold, and generate a corresponding warning based on the comparison result; if the equipment standard coefficient is not lower than the standard threshold, no other operations are performed; if the equipment standard coefficient is lower than the standard threshold, a corresponding abnormal warning is generated.

[0022] Furthermore, the process of obtaining the corresponding first standard coefficient includes:

[0023] The obtained speed change curve is sampled before and after time, and the corresponding sampling points are read. After the sampling is completed, the parameter values ​​corresponding to the corresponding sampling points are read, and the maximum parameter value and the minimum parameter value are obtained respectively; then the first standard coefficient corresponding to the corresponding mechanical part is obtained based on it.

[0024] Furthermore, the process of obtaining the corresponding second standard coefficient includes: segmenting the obtained speed change curve based on an empirical mode decomposition algorithm to obtain a plurality of curve segments;

[0025] The obtained curve segments are numbered as u, where u=1, 2, ..., U, U>0 and U is an integer; the total number of peaks in the corresponding curve segment u is obtained and recorded as Pu;

[0026] Then, a corresponding second standard coefficient is obtained based on the obtained curve segment, and the obtained second standard coefficient is marked as Gi.

[0027] Furthermore, the data analysis module is used to perform fault diagnosis on the corresponding agricultural production equipment according to the obtained abnormal warning, and the process of obtaining the corresponding diagnosis result includes:

[0028] Set a monitoring cycle, obtain historical equipment information corresponding to several historical monitoring cycles, and obtain the equipment operation status corresponding to the target agricultural machinery parts in the corresponding monitoring cycle;

[0029] According to the obtained equipment operation status, the mechanical data in the obtained historical equipment information is divided to obtain the corresponding normal operation data and fault operation data; at the same time, the maintenance records corresponding to the corresponding fault operation data are obtained;

[0030] Obtain the equipment operation standard, compare the various indicator data in the obtained fault operation data with the corresponding equipment operation standard, and if the corresponding indicator data does not meet the equipment operation standard, mark it as a fault indicator;

[0031] Correlating the obtained fault indicators with the obtained set of fault causes to obtain a corresponding mapping relationship;

[0032] Count the mapping relationship between all the fault operation data obtained and the corresponding fault cause set, and perform deduplication processing on them to obtain the corresponding fault map;

[0033] Constructing corresponding training sets and test sets according to the obtained normal operation data and fault operation data respectively, and performing model training based on the obtained training sets and test sets to obtain corresponding first detection models and second detection models;

[0034] The corresponding first detection model and the second detection model are merged, and the merged first detection model and the second detection model are continuously iteratively trained based on the obtained fault map until they meet the requirements, thereby obtaining a corresponding fault detection model;

[0035] The mechanical data in the equipment information corresponding to the current monitoring cycle is input into the corresponding fault detection model to obtain the corresponding output result. Based on the obtained output result, it is judged whether the corresponding mechanical parts have a fault. If no fault exists, no other operation is performed; if a fault exists, a corresponding fault warning is generated.

[0036] Furthermore, the process of the information feedback module taking corresponding feedback measures according to the obtained fault warning includes:

[0037] When a fault warning is received, the corresponding fault warning is graded according to the equipment information in the current monitoring cycle to obtain the corresponding fault level, which includes a primary fault and a secondary fault;

[0038] If the fault level is a level 2 fault, a level 2 warning is fed back to the person in charge of the corresponding agricultural production equipment. At the same time, the management center connects the mobile terminal of the corresponding person in charge with the control terminal of the corresponding agricultural production equipment, and then the person in charge remotely adjusts the parameters of the agricultural production equipment through the mobile terminal, and tries to solve the current fault level, and chooses whether to stop the operation process of the corresponding agricultural production equipment according to the parameter adjustment result of the person in charge;

[0039] If the fault level is a level one fault, a level one warning will be fed back to the person in charge of the corresponding agricultural production equipment, and the operation process of the corresponding agricultural production equipment will be suspended.

[0040] Compared with the prior art, the beneficial effects of the present invention are: various data of agricultural production equipment, such as engine speed, vibration frequency, etc., are collected in real time through the data acquisition module. After processing and analyzing these data, abnormal conditions of the equipment can be discovered in time, and relevant personnel can be notified in time through the information feedback module, thereby realizing real-time monitoring and early warning of agricultural production equipment; it is conducive to reducing losses caused by equipment failures; and realizing comprehensive monitoring and abnormal early warning of agricultural production equipment, thereby improving agricultural production efficiency and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0042] like Figure 1 As shown, a data monitoring and management system for agricultural equipment includes a management center, wherein the management center is communicatively connected with a data acquisition module, a data processing module, a data analysis module and an information feedback module;

[0043] The data acquisition module is used to collect data on the target agricultural production equipment to obtain corresponding equipment information;

[0044] It should be further explained that, in the specific implementation process, the data acquisition module is used to collect data from the target agricultural production equipment to obtain corresponding equipment information;

[0045] It should be further noted that in the specific implementation process, the process of the data acquisition module collecting data from the target agricultural production equipment to obtain the corresponding equipment information includes:

[0046] A number of acquisition nodes are set in the data acquisition module, and the acquisition nodes are set at the mechanical data in the target agricultural production equipment according to requirements; among them, one mechanical part corresponds to one acquisition node;

[0047] The acquisition nodes are numbered, denoted as i, i = 1, 2,..., n, n > 0 and n is an integer, and n is the total number of mechanical parts in the agricultural production equipment to be monitored;

[0048] Based on the acquisition node i, data is collected from the mechanical parts of the corresponding agricultural production equipment to obtain the corresponding mechanical data, and the mechanical data includes engine speed, vibration frequency, etc.; all the collected mechanical data is summarized to obtain the corresponding equipment information;

[0049] It should be further noted that in the specific implementation process, the acquisition nodes are set with fixed acquisition parameters during the data acquisition process, and the acquisition parameters include acquisition frequency, acquisition period, etc.

[0050] The data processing module is used to process the collected equipment information and judge whether there is an abnormality in the corresponding agricultural production equipment according to the processing result;

[0051] It should be further noted that in the specific implementation process, the process of the data processing module processing the collected equipment information and judging whether there is an abnormality in the corresponding agricultural production equipment according to the processing result includes:

[0052] Read the collected equipment information and perform data preprocessing on the collected equipment information. The data preprocessing includes: outlier processing, missing value processing, and normalization processing;

[0053] The outlier processing is used to clean abnormal data, and the outlier processing adopts the absolute median deviation outlier processing method. The missing value processing is used to fill in missing data, and the missing value processing adopts the statistic filling method. The normalization processing is used to unify the data format, and the normalization processing adopts the Z-Score standardization method;

[0054] After the preprocessing is completed, the collected equipment information data is periodically uploaded and stored in the management center;

[0055] Constructing a two-dimensional rectangular coordinate system of mechanical data with respect to time, and mapping the collected mechanical data into the corresponding two-dimensional rectangular coordinate system to obtain a corresponding mechanical data change curve, wherein the mechanical data change curve includes but is not limited to an engine speed curve and an engine vibration curve;

[0056] Taking the engine speed curve as an example, the obtained engine speed curve is read, and at the same time, the standard speed corresponding to the corresponding agricultural production is obtained, and the standard speed refers to the engine rated speed corresponding to the target agricultural production equipment under different equipment gears;

[0057] The corresponding engine speed curve is corrected based on the standard speed to obtain a corresponding speed change curve; the process of correcting the corresponding engine speed curve refers to comparing the parameter value in the corresponding engine speed curve with the standard speed under the corresponding engine gear, and the parameter value corresponding to the corrected speed change curve is the ratio of the parameter value in the corresponding engine speed curve to the standard speed under the corresponding engine gear;

[0058] The obtained speed change curve is sampled according to the time, and the corresponding sampling points are read and numbered, which are recorded as j, j=1, 2, ..., m, m>0 and m is an integer, and m represents the total number of sampling points;

[0059] After the sampling is completed, the parameter values ​​corresponding to the corresponding sampling points are read, and the maximum parameter value and the minimum parameter value are marked as Zmax and Zmin respectively; then the first standard coefficient corresponding to the corresponding mechanical part is obtained based on the first standard coefficient, and the obtained first standard coefficient is marked as Si; ; Zj represents the parameter value corresponding to the jth sampling point in the corresponding speed change curve, and Z0 represents the standard speed ratio, which is set by the staff based on historical work experience;

[0060] At the same time, the obtained speed variation curve is segmented based on the empirical mode decomposition algorithm to obtain several curve segments;

[0061] The obtained curve segments are numbered as u, where u=1, 2, ..., U, U>0 and U is an integer; the total number of peaks in the corresponding curve segment u is obtained and recorded as Pu;

[0062] Then, a corresponding second standard coefficient is obtained based on the obtained curve segment, and the obtained second standard coefficient is marked as Gi; ; Wherein, Iu represents the Ith peak value in the curve segment u, and I0 represents the average value of all peak values ​​in the corresponding speed change curve;

[0063] Based on the obtained first standard coefficient and the second standard coefficient, a corresponding speed standard coefficient ZS is obtained. ; In the formula, 1 and 2 represents the weight coefficients corresponding to the first standard coefficient and the second standard coefficient, respectively, which are determined by the category of the corresponding mechanical parts;

[0064] Using the above method, the obtained engine vibration curve is subjected to data processing to obtain the corresponding vibration standard coefficient;

[0065] Perform weighted summation on the obtained speed standard coefficient and vibration standard coefficient to obtain the corresponding equipment standard coefficient;

[0066] Set a standard threshold, compare the obtained equipment standard coefficient with the standard threshold, and generate corresponding warnings based on the comparison results;

[0067] If the equipment standard coefficient is not lower than the standard threshold, indicating that the corresponding agricultural production equipment has no abnormality, no other operations are performed;

[0068] If the equipment standard coefficient is lower than the standard threshold, indicating that the corresponding agricultural production equipment has an abnormality, a corresponding abnormality warning is generated.

[0069] The data analysis module is used to perform fault diagnosis on the corresponding agricultural production equipment according to the abnormal warning obtained, and obtain the corresponding diagnosis result;

[0070] It should be further explained that, in the specific implementation process, the data analysis module is used to perform fault diagnosis on the corresponding agricultural production equipment according to the obtained abnormal warning, and the process of obtaining the corresponding diagnosis result includes:

[0071] Setting a monitoring cycle, obtaining historical equipment information corresponding to a number of historical monitoring cycles, and obtaining the equipment operation status corresponding to the target agricultural machinery parts in the corresponding monitoring cycle, wherein the equipment operation status includes a normal state and a fault state;

[0072] According to the obtained equipment operation status, the mechanical data in the obtained historical equipment information is divided to obtain corresponding normal operation data and fault operation data;

[0073] Then, the maintenance record corresponding to the corresponding fault operation data is obtained, wherein the maintenance record includes the fault cause, fault characteristics, maintenance plan, etc., and the corresponding fault cause set is obtained based on the fault cause set;

[0074] Acquire equipment operation standards, where the equipment operation standards are limited ranges of equipment operation data set when the corresponding agricultural production equipment leaves the factory;

[0075] Compare the various indicator data in the acquired fault operation data with the corresponding equipment operation standard. If the corresponding indicator data does not meet the equipment operation standard, it will be marked as a fault indicator;

[0076] Correlating the obtained fault indicators with the obtained set of fault causes to obtain a corresponding mapping relationship;

[0077] Count the mapping relationships between all the acquired fault operation data and the corresponding fault cause set, and perform deduplication processing on them, that is, merge the same mapping relationships in different fault operation data; after the deduplication processing is completed, obtain the corresponding fault map;

[0078] Constructing corresponding training sets and test sets according to the obtained normal operation data and fault operation data respectively, and performing model training based on the obtained training sets and test sets to obtain corresponding first detection models and second detection models;

[0079] The corresponding first detection model and the second detection model are merged, and the merged first detection model and the second detection model are continuously iteratively trained based on the obtained fault map until they meet the requirements, thereby obtaining a corresponding fault detection model;

[0080] The mechanical data in the equipment information corresponding to the current monitoring cycle is input into the corresponding fault detection model to obtain the corresponding output result, which can be expressed as: ; Wherein, Vg represents the mapping function corresponding to the g-th index data in the mechanical data; Wi is the failure coefficient of the mechanical parts corresponding to the corresponding mechanical data;

[0081] Setting a fault threshold, and comparing the obtained fault coefficient with the fault threshold;

[0082] If the fault coefficient is lower than the fault threshold, it indicates that the corresponding mechanical parts are operating normally, and no other operations are performed;

[0083] If the fault coefficient is not lower than the fault threshold, it indicates that there is a fault in the operating status of the corresponding mechanical parts, and a corresponding fault warning is generated and fed back to the management center.

[0084] The information feedback module is used to take corresponding feedback measures according to the obtained fault warning;

[0085] It should be further explained that, in a specific implementation process, the process in which the information feedback module is used to take corresponding feedback measures according to the obtained fault warning includes:

[0086] When a fault warning is received, the corresponding fault warning is graded according to the equipment information in the current monitoring cycle to obtain the corresponding fault level, which includes a primary fault and a secondary fault;

[0087] If the fault level is a level 2 fault, a level 2 warning is fed back to the person in charge of the corresponding agricultural production equipment. At the same time, the management center connects the mobile terminal of the corresponding person in charge with the control terminal of the corresponding agricultural production equipment, so that the person in charge can remotely adjust the parameters of the agricultural production equipment through the personal mobile terminal, and try to solve the current fault level, and choose whether to stop the operation process of the corresponding agricultural production equipment according to the parameter adjustment result of the person in charge;

[0088] If the fault level is a level one fault, a level one warning will be fed back to the person in charge of the corresponding agricultural production equipment, and the operation process of the corresponding agricultural production equipment will be suspended.

[0089] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A data monitoring and management system for agricultural equipment, characterized in that: It includes a management center, which is communicatively connected to a data acquisition module, a data processing module, a data analysis module and an information feedback module; The data acquisition module is used to collect data on the target agricultural production equipment to obtain corresponding equipment information; The data processing module is used to process the collected equipment information and determine whether the corresponding agricultural production equipment has an abnormality based on the processing result; The data analysis module is used to perform fault diagnosis on the corresponding agricultural production equipment according to the abnormal warning obtained, and obtain the corresponding diagnosis result; The information feedback module is used to take corresponding feedback measures according to the obtained fault warning.

2. The data monitoring and management system for agricultural equipment according to claim 1, characterized in that: The data acquisition module collects data from the target agricultural production equipment to obtain the corresponding equipment information, which includes: The data acquisition module is provided with a plurality of acquisition nodes, and the acquisition nodes are provided with mechanical data in the target agricultural production equipment according to the requirements; Based on the collection node, data is collected on the mechanical parts of the corresponding agricultural production equipment to obtain corresponding mechanical data, wherein the mechanical data includes engine speed and vibration frequency; all the collected mechanical data are summarized to obtain corresponding equipment information.

3. The data monitoring and management system for agricultural equipment according to claim 2, characterized in that: The data processing module processes the collected equipment information and determines whether the corresponding agricultural production equipment has an abnormality according to the processing result, including: Read the collected device information, perform data preprocessing on the collected device information, and after the preprocessing is completed, periodically upload and store the collected device information data to the management center; Constructing a two-dimensional rectangular coordinate system of mechanical data in time, and mapping the collected mechanical data into the corresponding two-dimensional rectangular coordinate system to obtain a corresponding mechanical data change curve, wherein the mechanical data change curve includes an engine speed curve and an engine vibration curve; Read the obtained engine speed curve and obtain the standard speed corresponding to the corresponding agricultural production equipment; Correcting the corresponding engine speed curve based on the standard speed to obtain a corresponding speed change curve; Obtaining a corresponding first standard coefficient and a second standard coefficient based on the obtained speed change curve, and performing weighted summation on them to obtain a corresponding speed standard coefficient; The obtained engine vibration curve is processed by the above method to obtain the corresponding vibration standard coefficient; Perform weighted summation on the obtained speed standard coefficient and vibration standard coefficient to obtain the corresponding equipment standard coefficient; Set a standard threshold, compare the obtained equipment standard coefficient with the standard threshold, and generate a corresponding warning based on the comparison result; if the equipment standard coefficient is not lower than the standard threshold, no other operations are performed; if the equipment standard coefficient is lower than the standard threshold, a corresponding abnormal warning is generated.

4. The data monitoring and management system for agricultural equipment according to claim 3, characterized in that: The process of obtaining the corresponding first standard coefficients includes: The obtained speed change curve is sampled before and after time, and the corresponding sampling points are read. After the sampling is completed, the parameter values ​​corresponding to the corresponding sampling points are read, and the maximum parameter value and the minimum parameter value are obtained respectively; then the first standard coefficient corresponding to the corresponding mechanical part is obtained based on it.

5. The data monitoring and management system for agricultural equipment according to claim 3, characterized in that: The process of obtaining the corresponding second standard coefficient includes: segmenting the obtained speed change curve based on the empirical mode decomposition algorithm to obtain a plurality of curve segments; and obtaining the corresponding second standard coefficient based on the obtained curve segments.

6. The data monitoring and management system for agricultural equipment according to claim 3, characterized in that: The data analysis module is used to perform fault diagnosis on the corresponding agricultural production equipment according to the abnormal warning obtained, and the process of obtaining the corresponding diagnosis result includes: Set a monitoring cycle, obtain historical equipment information corresponding to several historical monitoring cycles, and obtain the equipment operation status corresponding to the target agricultural machinery parts in the corresponding monitoring cycle; According to the obtained equipment operation status, the mechanical data in the obtained historical equipment information is divided to obtain the corresponding normal operation data and fault operation data; at the same time, the maintenance records corresponding to the corresponding fault operation data are obtained; Obtain the equipment operation standard, compare the various indicator data in the obtained fault operation data with the corresponding equipment operation standard, and if the corresponding indicator data does not meet the equipment operation standard, mark it as a fault indicator; Correlating the obtained fault indicators with the obtained set of fault causes to obtain a corresponding mapping relationship; Count the mapping relationship between all the fault operation data obtained and the corresponding fault cause set, and perform deduplication processing on them to obtain the corresponding fault map; Constructing corresponding training sets and test sets according to the obtained normal operation data and fault operation data respectively, and performing model training based on the obtained training sets and test sets to obtain corresponding first detection models and second detection models; The corresponding first detection model and the second detection model are merged, and the merged first detection model and the second detection model are continuously iteratively trained based on the obtained fault map until they meet the requirements, thereby obtaining a corresponding fault detection model; The mechanical data in the equipment information corresponding to the current monitoring cycle is input into the corresponding fault detection model to obtain the corresponding output result. Based on the obtained output result, it is judged whether the corresponding mechanical parts have a fault. If no fault exists, no other operation is performed; if a fault exists, a corresponding fault warning is generated.

7. The data monitoring and management system for agricultural equipment according to claim 6, characterized in that: The process of the information feedback module taking corresponding feedback measures according to the obtained fault warning includes: When a fault warning is received, the corresponding fault warning is graded according to the equipment information in the current monitoring cycle to obtain the corresponding fault level, which includes a primary fault and a secondary fault; If the fault level is a level 2 fault, a level 2 warning is fed back to the person in charge of the corresponding agricultural production equipment. At the same time, the management center connects the mobile terminal of the corresponding person in charge with the control terminal of the corresponding agricultural production equipment, and then the person in charge remotely adjusts the parameters of the agricultural production equipment through the mobile terminal, and tries to solve the current fault level, and chooses whether to stop the operation process of the corresponding agricultural production equipment according to the parameter adjustment result of the person in charge; If the fault level is a level one fault, a level one warning will be fed back to the person in charge of the corresponding agricultural production equipment, and the operation process of the corresponding agricultural production equipment will be suspended.

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