Mechanical equipment fault diagnosis system based on data acquisition

Abstract

The invention discloses a mechanical equipment fault diagnosis system based on data acquisition. The system comprises an equipment information acquisition module, a fault detection selection module, an environment information acquisition module, a vibration acquisition module, a nondestructive detection module, an infrared detection module, a data processing module and an information sending module. The equipment information acquisition module is used for acquiring diesel engine equipment information; the fault detection selection module is used for analyzing diesel engine equipment information and selecting a fault detection mode; the environment information acquisition module is used for acquiring environment information of diesel engine equipment; and the vibration acquisition module is used for performing vibration detection through a vibration detection method to obtain vibration detection information of the diesel engine equipment. According to the invention, a proper fault detection mode can be selected for fault diagnosis according to the actual condition of the diesel engine equipment, and various different detection modes are provided to meet different fault diagnosis requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of fault detection, and in particular to a mechanical equipment fault diagnosis system based on data acquisition. Background Art

[0002] Mechanical equipment fault diagnosis is an indispensable and important part of industrial production. It is directly related to production efficiency and equipment safety. The main purpose of mechanical equipment fault diagnosis is to detect and analyze the operating status of the equipment, timely discover and accurately determine the type, nature and degree of equipment failure, so as to take effective maintenance measures to ensure the normal operation of the equipment, reduce downtime and maintenance costs, and improve production efficiency and economic benefits.

[0003] Diesel engine equipment is a type of mechanical equipment. During actual use, various faults may occur in diesel engine equipment. During the process of diesel engine equipment fault detection, the fault diagnosis system will be used.

[0004] Existing fault diagnosis systems mostly use the traditional single fault detection method to collect diesel engine related information and then perform fault diagnosis. There are problems with low reliability and accuracy of the diagnosis results, which has a certain impact on the use of the fault diagnosis system. Therefore, a mechanical equipment fault diagnosis system based on data acquisition is proposed. Summary of the invention

[0005] In view of the defects in the prior art, the present invention provides a mechanical equipment fault diagnosis system based on data acquisition, including an equipment information acquisition module, a fault detection selection module, an environmental information acquisition module, a vibration acquisition module, a non-destructive detection module, an infrared detection module, a data processing module and an information sending module;

[0006] The equipment information collection module is used to collect diesel engine equipment information;

[0007] The fault detection selection module is used to analyze the diesel engine equipment information and select the fault detection method;

[0008] The environmental information collection module is used to collect the environmental information of the diesel engine equipment;

[0009] The vibration collection module is used to perform vibration detection through a vibration detection method to obtain vibration detection information of the diesel engine equipment;

[0010] The nondestructive testing module is used to perform nondestructive testing on the diesel engine equipment and obtain nondestructive testing information;

[0011] The infrared detection module is used to perform infrared detection on the diesel engine equipment and obtain infrared detection information;

[0012] The data processing module is used to process the environment information of the diesel engine equipment to obtain the environment detection fault information, process the vibration detection information to obtain the vibration detection fault information, process the non-destructive detection information to obtain the non-destructive detection fault information; process the infrared detection information to obtain the infrared detection fault information;

[0013] The information sending module is used to send the environmental detection fault information, vibration detection fault information, oil product detection fault information, non-destructive detection fault information and infrared detection fault information to a preset receiving terminal after the above information is generated.

[0014] Furthermore, the specific process of selecting the fault detection method is as follows: extracting the collected diesel engine equipment information, the diesel engine equipment information includes the installation status of the diesel engine equipment, when the diesel engine equipment is in the installation status, it is necessary to collect the real-time image information of the diesel engine equipment, analyze the real-time image information to obtain the detection range parameter, when the detection range parameter is greater than the preset value, it is allowed to select any method to detect the diesel engine;

[0015] When the detection range information is less than the preset value, the environmental detection method and the non-destructive detection method are selected to detect the diesel engine first;

[0016] When the diesel engine equipment is not installed, any method can be selected to detect the diesel engine;

[0017] The diesel engine equipment is in the installed state, which means that the diesel engine is installed on other equipment at this time. The diesel engine equipment is in the uninstalled state, which means that the diesel engine equipment has been separated from other equipment and placed in a preset open position.

[0018] Furthermore, the specific processing process of the detection range parameter is as follows: extracting the collected real-time image information of the diesel engine equipment, the real-time image information of the diesel engine equipment is the image information of the diesel engine equipment installed taken from top to bottom, and extracting the front end point, the rear end point, the leftmost point and the rightmost point of the diesel engine equipment from the image information of the diesel engine equipment installation;

[0019] Then, the obstacle closest to the front end point of the diesel engine equipment is extracted from the image information, the obstacle is marked as Z1, and the distance between the front end point of the diesel engine equipment and Z1 is measured to obtain the first parameter;

[0020] Extract the obstacle closest to the last endpoint of the diesel engine device, mark the obstacle as Z2, measure the distance between the last endpoint of the diesel engine device and Z2, and obtain the second parameter;

[0021] Extract the obstacle closest to the leftmost point of the diesel engine device, mark the obstacle as Z3, measure the distance between the leftmost point of the diesel engine device and Z3, and obtain the third parameter;

[0022] Extract the obstacle closest to the rightmost point of the diesel engine device, mark the obstacle as Z3, measure the distance between the rightmost point of the diesel engine device and Z4, and obtain the fourth parameter;

[0023] The first parameter, the second parameter, the third parameter and the fourth parameter constitute a detection range parameter. If any one of the first parameter, the second parameter, the third parameter and the fourth parameter is less than a preset value, it means that the detection range information is less than the preset value;

[0024] When the first parameter, the second parameter, the third parameter and the fourth parameter are all greater than the preset value, it means that the detection range information is greater than the preset value.

[0025] When there is no other device in the corresponding directions of the front end point, the rear end point, the leftmost point and the rightmost point of the diesel engine device, it is directly assumed that the parameter of the corresponding direction is greater than the preset value.

[0026] Furthermore, the specific processing process of the environmental detection fault information is as follows: extracting the collected environmental information, the environmental information including the average value of the ambient temperature of the environment in which the diesel engine is located within a preset time, the average value of the ambient vibration force of the environment in which the diesel engine is located within a preset time, the average value of the ambient dust concentration information of the environment in which the diesel engine is located within a preset time, and the average value of the corrosive gas concentration information in the air of the environment in which the diesel engine is located within a preset time;

[0027] Then, the diesel engine equipment information is extracted, the diesel engine equipment information includes the diesel engine equipment type information, the diesel engine equipment type information is imported into an Internet database, and the standard operating environment temperature range, standard environment vibration force, standard environment dust concentration and standard corrosive gas concentration corresponding to the diesel engine equipment type are retrieved from the Internet database;

[0028] When the average ambient temperature of the environment in which the diesel engine is located within a preset time period is not within the standard operating ambient temperature range, an environmental detection fault message is generated;

[0029] Calculate the difference between the average environmental vibration force of the environment in which the diesel engine is located within a preset time and the standard environmental vibration force, obtain the vibration difference, and generate environmental detection fault information when the vibration difference is greater than the preset value;

[0030] Calculate the difference between the average value of the environmental dust concentration information of the environment in which the diesel engine is located within a preset time and the standard environmental dust concentration, obtain the dust concentration difference, and generate environmental detection fault information when the dust concentration difference is greater than the preset value;

[0031] The difference between the mean value of the corrosive gas concentration information in the air of the diesel engine environment within a preset time period and the standard corrosive gas concentration is calculated to obtain the corrosive gas concentration difference. When the corrosive gas concentration difference is greater than the preset value, environmental detection fault information is generated.

[0032] Furthermore, the specific process of the vibration collection module collecting vibration detection information of the diesel engine equipment is as follows: extracting diesel engine equipment information, extracting diesel engine equipment type information from the diesel engine equipment information, importing the diesel engine equipment type information into an Internet database, and retrieving failure rate information of various components of the diesel engine equipment;

[0033] The failure rate information of the diesel engine equipment components is marked as Zi, where i is the number of diesel engine equipment components;

[0034] Then, the failure rate information of the diesel engine equipment components is graded, and the 1 / 3 Zi with the largest failure rate is marked as the first-level component, the 1 / 3 Zi in the middle of the failure rate is marked as the second-level component, and the 1 / 3 Zi with the smallest failure rate is marked as the third-level component;

[0035] According to the preset hierarchical collection rules, the component vibration information is collected for the first-level components, the second-level components and the third-level components to obtain the vibration detection information of the diesel engine equipment.

[0036] Furthermore, the preset hierarchical collection rule has the following specific contents: when the component is a first-level component, at least three vibration sensors are arranged on the component to collect vibration information simultaneously;

[0037] When the component is a secondary component, at least two vibration sensors are provided on the component to collect vibration information simultaneously;

[0038] When the component is a third-level component, a vibration sensor is set on the component to simultaneously collect vibration information.

[0039] Furthermore, when multiple vibration sensors cannot be placed on the surfaces of the primary component and the secondary component at the same time, only a single vibration sensor is installed on the primary component to continuously collect vibration information three times, and the interval between the three vibration information must be greater than a preset value;

[0040] For secondary components, only a single vibration sensor is installed to collect vibration information twice in succession. The interval between the two vibration information must be greater than a preset value.

[0041] Furthermore, the infrared detection module performs infrared detection on the diesel engine device, and a specific process of obtaining infrared detection information is as follows: after calibrating the infrared detection device, adjusting the diesel engine device to the running mode, using the infrared detection device to perform an infrared scan on the diesel engine device, and obtaining infrared images of various components of the diesel engine when it is running, that is, the first image;

[0042] Then, the scanning angle is changed, and the diesel engine equipment is scanned again by infrared, so as to obtain infrared images of various components of the diesel engine when it is running, i.e., the second image;

[0043] Compare the infrared conditions of each part of the first image and the second image, and when the similarity between the first image and the second image is greater than a preset value, extract and derive the infrared detection information from any one of the first image and the second image;

[0044] When the similarity between the first image and the second image is less than a preset value, the scanning angle is changed, and the infrared scanning of the diesel engine equipment is performed again to obtain infrared images of various components of the diesel engine when it is running, that is, the third image;

[0045] Compare the infrared conditions of each part of the third image with the first image and the second image respectively. When the similarity between the third image and the first image and the second image is greater than a preset value, extract the third image and any one of the corresponding images whose similarity is greater than the preset value and export them as infrared detection information;

[0046] When the comparison similarity between the third image and the first image and the second image is less than the preset value, the infrared scanning is continued by changing the angle or the detection method is changed.

[0047] Furthermore, the specific process of acquiring the nondestructive testing information is as follows: firstly, environmental information of the testing location is collected to obtain the temperature, humidity information and environmental vibration force information of the testing environment;

[0048] When the temperature, humidity and vibration information of the detection environment are within the preset standard range, ultrasonic detection is directly performed;

[0049] When any of the temperature, humidity information and environmental vibration force information of the detection environment is not within the preset standard range, the environment is adjusted first, and the corresponding environmental items are adjusted to the standard range before ultrasonic detection;

[0050] The diesel engine equipment was detected using the pulse method, penetration method and harmonious vibration method, and the pulse method detection results, penetration method detection results and vibration method detection results were obtained;

[0051] Then, the pulse method detection results, the penetration method detection results and the vibration method detection results are compared in pairs to obtain the similarity of the three results. When the similarity of the three results is greater than the preset value, the pulse method detection results, the penetration method detection results and the vibration method detection results are simultaneously exported as non-destructive testing information;

[0052] When only two of the three results have similarities greater than a preset value, the detection result corresponding to the similarity greater than the preset value is selected as the nondestructive testing information;

[0053] When the similarities of the three comparison results are all less than the preset value, the detection is performed again.

[0054] Furthermore, the specific acquisition process of the vibration detection fault information is as follows: extracting the collected vibration detection information of the diesel engine equipment, preprocessing the collected vibration signal of the diesel engine equipment vibration detection information, and the preprocessing content includes filtering and denoising;

[0055] Then, real-time feature extraction is performed. The vibration signal is analyzed through signal processing technology to extract real-time features that can characterize the working state of the diesel engine. The feature parameters include frequency, amplitude, and phase.

[0056] Finally, fault mode recognition is performed to compare the extracted real-time features with known fault modes. When the similarity between the real-time features and any of the known fault modes is greater than a preset value, vibration detection fault information is generated.

[0057] Furthermore, the process of the nondestructive testing fault information is as follows: extracting the acquired nondestructive testing information, performing waveform analysis on the nondestructive testing information, analyzing the waveform graph recorded in the nondestructive testing information, identifying the reflected wave or acoustic shadow characteristics of the defect, locating the defect, calculating the specific position of the defect according to the time difference in the waveform graph and the propagation speed of the ultrasonic wave in the material, and finally, evaluating the impact of the defect on the performance and safety of the diesel engine equipment in combination with the position, size and nature of the defect. When it is evaluated that the impact of the position, size and nature of the defect on the performance and safety of the diesel engine equipment is greater than a preset value, the nondestructive testing fault information is generated;

[0058] The specific process of obtaining the infrared detection fault information is as follows: extract the infrared detection information, analyze the temperature data in the infrared detection information to obtain the actual temperature of each component, compare the actual temperature of each component with the normal temperature range of the corresponding component, and when there is a component temperature that is not within the normal temperature range of the corresponding component, infrared detection fault information is generated.

[0059] The beneficial effects of the present invention are embodied in:

[0060] The present invention can select different detection methods according to the installation status of the diesel engine equipment to be detected to diagnose the fault of the diesel engine equipment, thereby reducing the problem of low reliability of the fault diagnosis result caused by the inability of the selected fault detection method to collect accurate data when the diesel engine is connected with other equipment. The environmental information collection module is set to collect the environmental information of the diesel engine equipment, and the environmental information is used to determine whether the diesel engine equipment has a fault. The environmental detection method can monitor the key parameters in the diesel engine operating environment in real time, such as temperature, humidity, vibration, emission concentration, etc., so as to capture abnormal signals before the fault occurs and achieve early warning. By discovering potential problems at an early stage, preventive and maintenance measures can be taken in time to avoid the expansion of faults and reduce the occurrence of major faults. Through the setting of vibration detection, the acquired The vibration detection result directly reflects the mechanical state. The vibration signal is a true reflection of the internal state of the mechanical system. The vibration information of the internal components of the diesel engine can be directly obtained through the vibration detection method, providing an accurate basis for fault diagnosis. According to the actual condition of the diesel engine, vibration sensors of different standards are collected to ensure the accuracy of the collected vibration data, thereby improving the reliability of the final fault diagnosis results. Through the non-destructive testing module, the diesel engine equipment is non-destructively tested without destroying the diesel engine structure, avoiding equipment damage or performance degradation caused by the test. At the same time, in the process of non-destructive testing, ultrasonic testing is performed in different ways, and the results of ultrasonic testing in different ways are comprehensively processed to ensure the accuracy of the ultrasonic testing results, that is, to improve the accuracy of the final fault diagnosis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0062] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0063] The following embodiments of the technical solution of the present invention are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and are therefore only used as examples, and cannot be used to limit the protection scope of the present invention.

[0064] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application should have the common meanings understood by those skilled in the art to which the present invention belongs.

[0065] like Figure 1As shown, a mechanical equipment fault diagnosis system based on data acquisition includes:

[0066] The equipment information collection module is used to collect diesel engine equipment information;

[0067] The fault detection selection module is used to analyze the diesel engine equipment information and select the fault detection method;

[0068] The environmental information collection module is used to collect the environmental information of the diesel engine equipment;

[0069] The vibration collection module is used to perform vibration detection through the vibration detection method to obtain vibration detection information of the diesel engine equipment;

[0070] The nondestructive testing module is used to perform nondestructive testing on diesel engine equipment and obtain nondestructive testing information;

[0071] The infrared detection module is used to perform infrared detection on diesel engine equipment and obtain infrared detection information;

[0072] The data processing module is used to process the environment information of the diesel engine equipment to obtain the environment detection fault information, process the vibration detection information to obtain the vibration detection fault information, process the non-destructive detection information to obtain the non-destructive detection fault information; process the infrared detection information to obtain the infrared detection fault information;

[0073] The information sending module is used to send the above information to a preset receiving terminal after the environmental detection fault information, vibration detection fault information, oil detection fault information, non-destructive detection fault information and infrared detection fault information are generated.

[0074] The specific process of selecting the fault detection method is as follows: extract the collected diesel engine equipment information, the diesel engine equipment information includes the installation status of the diesel engine equipment, when the diesel engine equipment is in the installation status, it is necessary to collect the real-time image information of the diesel engine equipment, analyze the real-time image information to obtain the detection range parameter, when the detection range parameter is greater than the preset value, it is allowed to select any method to detect the diesel engine;

[0075] When the detection range information is less than the preset value, the environmental detection method and the non-destructive detection method are selected to detect the diesel engine first;

[0076] When the diesel engine equipment is not installed, any method can be selected to detect the diesel engine;

[0077] The diesel engine equipment is in the installed state, which means that the diesel engine is installed on other equipment at this time; the diesel engine equipment is in the uninstalled state, which means that the diesel engine equipment has been separated from other equipment and placed in a preset open position;

[0078] Through the above process, different fault detection methods are selected according to the actual installation conditions of the diesel engine equipment to perform fault detection on the diesel engine equipment, thereby avoiding the situation in which the randomly selected fault detection method is affected by other equipment connected to the diesel engine equipment, resulting in reduced fault detection accuracy, and the situation in which there is insufficient space around the diesel engine equipment and related detection cannot be performed.

[0079] The specific processing process of the detection range parameters is as follows: extracting the collected real-time image information of the diesel engine equipment, the real-time image information of the diesel engine equipment is the image information of the diesel engine equipment installed taken from top to bottom, and extracting the front end point, the rear end point, the leftmost point and the rightmost point of the diesel engine equipment from the image information of the diesel engine equipment installation;

[0080] Then, the obstacle closest to the front end point of the diesel engine equipment is extracted from the image information, the obstacle is marked as Z1, and the distance between the front end point of the diesel engine equipment and Z1 is measured to obtain the first parameter;

[0081] Extract the obstacle closest to the last endpoint of the diesel engine device, mark the obstacle as Z2, measure the distance between the last endpoint of the diesel engine device and Z2, and obtain the second parameter;

[0082] Extract the obstacle closest to the leftmost point of the diesel engine device, mark the obstacle as Z3, measure the distance between the leftmost point of the diesel engine device and Z3, and obtain the third parameter;

[0083] Extract the obstacle closest to the rightmost point of the diesel engine device, mark the obstacle as Z3, measure the distance between the rightmost point of the diesel engine device and Z4, and obtain the fourth parameter;

[0084] The first parameter, the second parameter, the third parameter and the fourth parameter constitute a detection range parameter. If any one of the first parameter, the second parameter, the third parameter and the fourth parameter is less than a preset value, it means that the detection range information is less than the preset value;

[0085] When the first parameter, the second parameter, the third parameter and the fourth parameter are all greater than the preset value, it means that the detection range information is greater than the preset value;

[0086] Through the above process, it is possible to determine whether there is enough space around the installed diesel engine equipment to perform different types of diesel fault detection. For example, if the space is too small, but infrared detection is selected as the detection method, the infrared detection equipment may not be able to perform infrared detection from all angles, which may lead to a large deviation in the final fault diagnosis result.

[0087] When there is no other device in the corresponding directions of the front end point, the rear end point, the leftmost point and the rightmost point of the diesel engine device, it is directly assumed that the parameter of the corresponding direction is greater than the preset value.

[0088] The specific processing process of the environmental detection fault information is as follows: extracting the collected environmental information, the environmental information including the average value of the ambient temperature of the environment in which the diesel engine is located within a preset time, the average value of the ambient vibration force of the environment in which the diesel engine is located within a preset time, the average value of the ambient dust concentration information of the environment in which the diesel engine is located within a preset time, and the average value of the corrosive gas concentration information in the air of the environment in which the diesel engine is located within a preset time;

[0089] Corrosive gases in the air, such as sulfur dioxide and nitrogen oxides, can chemically corrode the metal parts of diesel engines, reducing the strength and life of the parts.

[0090] Then, the diesel engine equipment information is extracted, the diesel engine equipment information includes the diesel engine equipment type information, the diesel engine equipment type information is imported into an Internet database, and the standard operating environment temperature range, standard environment vibration force, standard environment dust concentration and standard corrosive gas concentration corresponding to the diesel engine equipment type are retrieved from the Internet database;

[0091] When the average ambient temperature of the environment in which the diesel engine is located within a preset time period is not within the standard operating ambient temperature range, an environmental detection fault message is generated;

[0092] Calculate the difference between the average environmental vibration force of the environment in which the diesel engine is located within a preset time and the standard environmental vibration force, obtain the vibration difference, and generate environmental detection fault information when the vibration difference is greater than the preset value;

[0093] Calculate the difference between the average value of the environmental dust concentration information of the environment in which the diesel engine is located within a preset time and the standard environmental dust concentration, obtain the dust concentration difference, and generate environmental detection fault information when the dust concentration difference is greater than the preset value;

[0094] Calculate the difference between the mean value of the corrosive gas concentration information in the air of the diesel engine environment within a preset time and the standard corrosive gas concentration, obtain the corrosive gas concentration difference, and generate environmental detection fault information when the corrosive gas concentration difference is greater than the preset value;

[0095] Through the above process, users are provided with a fault diagnosis method for determining whether a diesel engine equipment may have a fault through environmental testing. The environmental testing method combines multiple environmental parameters for comprehensive evaluation, which can more comprehensively reflect the operating status of the diesel engine and improve the accuracy of fault diagnosis. Compared with the detection of a single parameter, the environmental testing method can reduce the misjudgment caused by the abnormality of a single parameter. Through the environmental testing method, it can ensure that the diesel engine works in a good operating environment and improve its reliability and stability.

[0096] The specific process of the vibration collection module for collecting vibration detection information of diesel engine equipment is as follows: extracting diesel engine equipment information, extracting diesel engine equipment type information from the diesel engine equipment information, importing the diesel engine equipment type information into an Internet database, and retrieving the failure rate information of each component of the diesel engine equipment;

[0097] The failure rate information of the diesel engine equipment components is marked as Zi, where i is the number of diesel engine equipment components;

[0098] Then, the failure rate information of the diesel engine equipment components is graded, and the 1 / 3 Zi with the largest failure rate is marked as the first-level component, the 1 / 3 Zi in the middle of the failure rate is marked as the second-level component, and the 1 / 3 Zi with the smallest failure rate is marked as the third-level component;

[0099] According to the preset hierarchical collection rules, the vibration information of the first-level components, second-level components and third-level components is collected to obtain the vibration detection information of the diesel engine equipment;

[0100] Through the above process, users are provided with a fault diagnosis method of using vibration detection to determine whether there is a fault in the diesel engine equipment, which can improve the accuracy of diagnosis. The vibration signal is a true reflection of the internal state of the mechanical system. The vibration information of the internal components of the diesel engine can be directly obtained through the vibration detection method, providing an accurate basis for fault diagnosis. The vibration detection method combined with professional signal processing and analysis technology can accurately identify the fault characteristics in the vibration signal and reduce the misjudgment caused by interference from other factors.

[0101] The specific contents of the preset hierarchical collection rules are as follows: when a component is a first-level component, at least three vibration sensors are set on the component to collect vibration information simultaneously;

[0102] When the component is a secondary component, at least two vibration sensors are provided on the component to collect vibration information simultaneously;

[0103] When the component is a third-level component, a vibration sensor is arranged on the component to collect vibration information simultaneously;

[0104] When multiple vibration sensors cannot be placed on the surfaces of the primary and secondary components at the same time, only a single vibration sensor is installed on the primary component to collect vibration information three times in a row, and the interval between the three vibration information must be greater than the preset value;

[0105] For secondary components, only a single vibration sensor is installed to collect vibration information twice in succession. The interval between the two vibration information must be greater than the preset value.

[0106] Through the above process, each component is graded according to the actual failure probability of the diesel engine equipment, and data collection methods with different data volumes are set for components of different levels, which can better improve the accuracy and reliability of the diesel engine vibration information finally collected.

[0107] The infrared detection module performs infrared detection on the diesel engine device, and the specific process of obtaining infrared detection information is as follows: after calibrating the infrared detection device, adjusting the diesel engine device to the running mode, using the infrared detection device to perform an infrared scan on the diesel engine device, and obtaining infrared images of various components of the diesel engine when it is running, that is, the first image;

[0108] Then, the scanning angle is changed, and the diesel engine equipment is scanned again by infrared, so as to obtain infrared images of various components of the diesel engine when it is running, i.e., the second image;

[0109] Compare the infrared conditions of each part of the first image and the second image, and when the similarity between the first image and the second image is greater than a preset value, extract and derive the infrared detection information from any one of the first image and the second image;

[0110] When the similarity between the first image and the second image is less than a preset value, the scanning angle is changed, and the infrared scanning of the diesel engine equipment is performed again to obtain infrared images of various components of the diesel engine when it is running, that is, the third image;

[0111] Compare the infrared conditions of each part of the third image with the first image and the second image respectively. When the similarity between the third image and the first image and the second image is greater than a preset value, extract the third image and any one of the corresponding images whose similarity is greater than the preset value and export them as infrared detection information;

[0112] When the comparison similarity between the third image and the first image and the second image is less than the preset value, the infrared scanning is continued by changing the angle or the detection method;

[0113] Through the above process, the user is provided with an infrared detection method to diagnose diesel engine equipment faults. A more detailed diesel engine infrared image acquisition rule is set, which can collect more accurate infrared images of various components of diesel engine equipment. The infrared detection method can quickly scan and detect diesel engine equipment comprehensively. Through infrared thermal imaging technology, the temperature distribution map of the equipment surface can be obtained in real time, so as to quickly find the area with abnormal temperature. This rapidity enables the infrared detection method to detect a large number of equipment in a short time, greatly improving the efficiency of fault detection.

[0114] The specific process of obtaining nondestructive testing information is as follows: first collect the environmental information of the testing location to obtain the temperature, humidity information and environmental vibration force information of the testing environment;

[0115] When the temperature, humidity and vibration information of the detection environment are within the preset standard range, ultrasonic detection is directly performed;

[0116] When any of the temperature, humidity information and environmental vibration force information of the detection environment is not within the preset standard range, the environment is adjusted first, and the corresponding environmental items are adjusted to the standard range before ultrasonic detection;

[0117] The diesel engine equipment was detected using the pulse method, penetration method and harmonious vibration method, and the pulse method detection results, penetration method detection results and vibration method detection results were obtained;

[0118] Then, the pulse method detection results, the penetration method detection results and the vibration method detection results are compared in pairs to obtain the similarity of the three results. When the similarity of the three results is greater than the preset value, the pulse method detection results, the penetration method detection results and the vibration method detection results are simultaneously exported as non-destructive testing information;

[0119] When only two of the three results have similarities greater than a preset value, the detection result corresponding to the similarity greater than the preset value is selected as the nondestructive testing information;

[0120] When the similarity of the three comparison results is less than the preset value, the detection is repeated;

[0121] Through the above process, a non-destructive detection method, namely ultrasonic detection, is provided for users to diagnose diesel engine equipment faults. Ultrasonic testing is a non-destructive testing technology that can perform testing without destroying the diesel engine structure, avoiding equipment damage or performance degradation caused by testing. Ultrasonic waves have the characteristics of strong penetration and high sensitivity, and can detect tiny cracks, defects or damage inside the diesel engine, which is crucial to ensure the safe operation of the equipment. Ultrasonic testing can accurately determine the location, size and shape of defects, providing an accurate basis for subsequent repairs and replacements. Ultrasonic testing is fast and can complete the detection of large areas or complex structures in a short time, thereby improving detection efficiency. Fast and efficient detection reduces diesel engine downtime and reduces economic losses caused by downtime.

[0122] The specific process of obtaining vibration detection fault information is as follows: extracting the collected vibration detection information of the diesel engine equipment, and preprocessing the collected vibration signal of the diesel engine equipment vibration detection information, and the preprocessing content includes filtering and denoising;

[0123] Then, real-time feature extraction is performed. The vibration signal is analyzed through signal processing technology to extract real-time features that can characterize the working state of the diesel engine. The feature parameters include frequency, amplitude, and phase.

[0124] Finally, fault mode recognition is performed to compare the extracted real-time features with known fault modes. When the similarity between the real-time features and any of the known fault modes is greater than a preset value, vibration detection fault information is generated.

[0125] The process of non-destructive testing fault information is as follows: extract the acquired non-destructive testing information, perform waveform analysis on the non-destructive testing information, analyze the waveform graph recorded in the non-destructive testing information, identify the reflected wave or sound shadow characteristics of the defect, locate the defect, and calculate the specific location of the defect based on the time difference in the waveform graph and the propagation speed of the ultrasonic wave in the material. Finally, combine the location, size and nature of the defect to evaluate its impact on the performance and safety of the diesel engine equipment. When it is evaluated that the location, size and nature of the defect have an impact on the performance and safety of the diesel engine equipment greater than the preset value, the non-destructive testing fault information is generated;

[0126] The specific process of obtaining infrared detection fault information is as follows: extract infrared detection information, analyze the temperature data in the infrared detection information to obtain the actual temperature of each component, compare the actual temperature of each component with the normal temperature range of the corresponding component, and when the temperature of a component is not within the normal temperature range of the corresponding component, infrared detection fault information is generated.

[0127] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A mechanical equipment fault diagnosis system based on data acquisition, characterized in that: It includes equipment information collection module, fault detection selection module, environmental information collection module, vibration collection module, non-destructive testing module, infrared detection module, data processing module and information sending module; The equipment information collection module is used to collect diesel engine equipment information; The fault detection selection module is used to analyze the diesel engine equipment information and select the fault detection method; The environmental information collection module is used to collect the environmental information of the diesel engine equipment; The vibration collection module is used to perform vibration detection through a vibration detection method to obtain vibration detection information of the diesel engine equipment; The nondestructive testing module is used to perform nondestructive testing on the diesel engine equipment and obtain nondestructive testing information; The infrared detection module is used to perform infrared detection on the diesel engine equipment and obtain infrared detection information; The data processing module is used to process the environment information of the diesel engine equipment to obtain the environment detection fault information, process the vibration detection information to obtain the vibration detection fault information, and process the non-destructive detection information to obtain the non-destructive detection fault information; Process the infrared detection information to obtain infrared detection fault information; The information sending module is used to send the environmental detection fault information, vibration detection fault information, oil product detection fault information, non-destructive detection fault information and infrared detection fault information to a preset receiving terminal after the above information is generated.

2. A mechanical equipment fault diagnosis system based on data acquisition according to claim 1, characterized in that: The specific process of selecting the fault detection method is as follows: extracting the collected diesel engine equipment information, the diesel engine equipment information includes the installation status of the diesel engine equipment, when the diesel engine equipment is in the installation state, it is necessary to collect the real-time image information of the diesel engine equipment, analyze the real-time image information to obtain the detection range parameter, when the detection range parameter is greater than the preset value, it is allowed to select any method to detect the diesel engine; When the detection range information is less than the preset value, the environmental detection method and the non-destructive detection method are selected to detect the diesel engine first; When the diesel engine equipment is not installed, any method can be selected to detect the diesel engine; The diesel engine equipment is in the installed state, which means that the diesel engine is installed on other equipment at this time. The diesel engine equipment is in the uninstalled state, which means that the diesel engine equipment has been separated from other equipment and placed in a preset open position.

3. The mechanical equipment fault diagnosis system based on data acquisition according to claim 1 is characterized in that: The specific processing process of the environmental detection fault information is as follows: extracting the collected environmental information, the environmental information including the average value of the ambient temperature of the environment in which the diesel engine is located within a preset time, the average value of the ambient vibration force of the environment in which the diesel engine is located within a preset time, the average value of the ambient dust concentration information of the environment in which the diesel engine is located within a preset time, and the average value of the corrosive gas concentration information in the air of the environment in which the diesel engine is located within a preset time; Then, the diesel engine equipment information is extracted, the diesel engine equipment information includes the diesel engine equipment type information, the diesel engine equipment type information is imported into an Internet database, and the standard operating environment temperature range, standard environment vibration force, standard environment dust concentration and standard corrosive gas concentration corresponding to the diesel engine equipment type are retrieved from the Internet database; When the average ambient temperature of the environment in which the diesel engine is located within a preset time period is not within the standard operating ambient temperature range, an environmental detection fault message is generated; Calculate the difference between the average environmental vibration force of the environment in which the diesel engine is located within a preset time and the standard environmental vibration force, obtain the vibration difference, and generate environmental detection fault information when the vibration difference is greater than the preset value; Calculate the difference between the average value of the environmental dust concentration information of the environment in which the diesel engine is located within a preset time and the standard environmental dust concentration, obtain the dust concentration difference, and generate environmental detection fault information when the dust concentration difference is greater than the preset value; The difference between the mean value of the corrosive gas concentration information in the air of the diesel engine environment within a preset time period and the standard corrosive gas concentration is calculated to obtain the corrosive gas concentration difference. When the corrosive gas concentration difference is greater than the preset value, environmental detection fault information is generated.

4. The mechanical equipment fault diagnosis system based on data acquisition according to claim 1 is characterized in that: The specific process of the vibration collection module collecting vibration detection information of the diesel engine equipment is as follows: extracting diesel engine equipment information, extracting diesel engine equipment type information from the diesel engine equipment information, importing the diesel engine equipment type information into an Internet database, and retrieving the failure rate information of each component of the diesel engine equipment; The failure rate information of the diesel engine equipment components is marked as Zi, where i is the number of diesel engine equipment components; Then, the failure rate information of the diesel engine equipment components is graded, and the 1 / 3 Zi with the largest failure rate is marked as the first-level component, the 1 / 3 Zi in the middle of the failure rate is marked as the second-level component, and the 1 / 3 Zi with the smallest failure rate is marked as the third-level component; According to the preset hierarchical collection rules, the component vibration information is collected for the first-level components, the second-level components and the third-level components to obtain the vibration detection information of the diesel engine equipment.

5. The mechanical equipment fault diagnosis system based on data acquisition according to claim 1 is characterized in that: The infrared detection module performs infrared detection on the diesel engine device and obtains the infrared detection information in the following specific process: after calibrating the infrared detection device and adjusting the diesel engine device to the running mode, the infrared detection device is used to perform an infrared scan on the diesel engine device to obtain infrared images of various components of the diesel engine when it is running, i.e., the first image; Then, the scanning angle is changed, and the diesel engine equipment is scanned again by infrared, so as to obtain infrared images of various components of the diesel engine when it is running, i.e., the second image; Compare the infrared conditions of each part of the first image and the second image, and when the similarity between the first image and the second image is greater than a preset value, extract and derive the infrared detection information from any one of the first image and the second image; When the similarity between the first image and the second image is less than a preset value, the scanning angle is changed, and the infrared scanning of the diesel engine equipment is performed again to obtain infrared images of various components of the diesel engine when it is running, that is, the third image; Compare the infrared conditions of each part of the third image with the first image and the second image respectively. When the similarity between the third image and the first image and the second image is greater than a preset value, extract the third image and any one of the corresponding images whose similarity is greater than the preset value and export them as infrared detection information; When the comparison similarity between the third image and the first image and the second image is less than the preset value, the infrared scanning is continued by changing the angle or the detection method is changed.

6. A mechanical equipment fault diagnosis system based on data acquisition according to claim 1, characterized in that: The specific process of obtaining the nondestructive testing information is as follows: firstly, environmental information of the testing location is collected to obtain the temperature, humidity information and environmental vibration force information of the testing environment; When the temperature, humidity and vibration information of the detection environment are within the preset standard range, ultrasonic detection is directly performed; When any of the temperature, humidity information and environmental vibration force information of the detection environment is not within the preset standard range, the environment is adjusted first, and the corresponding environmental items are adjusted to the standard range before ultrasonic detection; The diesel engine equipment was detected using the pulse method, penetration method and harmonious vibration method, and the pulse method detection results, penetration method detection results and vibration method detection results were obtained; Then, the pulse method detection results, the penetration method detection results and the vibration method detection results are compared in pairs to obtain the similarity of the three results. When the similarity of the three results is greater than the preset value, the pulse method detection results, the penetration method detection results and the vibration method detection results are simultaneously exported as non-destructive testing information; When only two of the three results have similarities greater than a preset value, the detection result corresponding to the similarity greater than the preset value is selected as the nondestructive testing information; When the similarities of the three comparison results are all less than the preset value, the detection is performed again.

7. A mechanical equipment fault diagnosis system based on data acquisition according to claim 1, characterized in that: The specific acquisition process of the vibration detection fault information is as follows: extracting the collected vibration detection information of the diesel engine equipment, preprocessing the collected vibration signal of the diesel engine equipment vibration detection information, and the preprocessing content includes filtering and denoising; Then, real-time feature extraction is performed. The vibration signal is analyzed through signal processing technology to extract real-time features that can characterize the working state of the diesel engine. The feature parameters include frequency, amplitude, and phase. Finally, fault mode recognition is performed to compare the extracted real-time features with known fault modes. When the similarity between the real-time features and any of the known fault modes is greater than a preset value, vibration detection fault information is generated.

8. The mechanical equipment fault diagnosis system based on data acquisition according to claim 1 is characterized in that: The process of the nondestructive testing fault information is as follows: extracting the acquired nondestructive testing information, performing waveform analysis on the nondestructive testing information, analyzing the waveform graph recorded in the nondestructive testing information, identifying the reflected wave or sound shadow characteristics of the defect, locating the defect, and calculating the specific position of the defect based on the time difference in the waveform graph and the propagation speed of the ultrasonic wave in the material. Finally, combining the position, size and nature of the defect, evaluate its impact on the performance and safety of the diesel engine equipment. When it is evaluated that the position, size and nature of the defect have a greater impact on the performance and safety of the diesel engine equipment than the preset value, the nondestructive testing fault information is generated.

9. A mechanical equipment fault diagnosis system based on data acquisition according to claim 1, characterized in that: The specific process of obtaining the infrared detection fault information is as follows: extract the infrared detection information, analyze the temperature data in the infrared detection information to obtain the actual temperature of each component, compare the actual temperature of each component with the normal temperature range of the corresponding component, and when there is a component temperature that is not within the normal temperature range of the corresponding component, infrared detection fault information is generated.

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