A method and system for monitoring air compressor production quality based on neural network

Abstract

The present invention discloses a method and system for monitoring the production quality of air compressors based on a neural network, which relates to the technical field of air compressor production, including detecting the functional structure of the air compressor, obtaining the functional structure information of the air compressor, and judging whether the basic quality of the air compressor meets the production standards according to the structural characteristic angle information and the air compressor parameter information. The present invention accurately evaluates the influence of the intake angle on air compression through the first structural characteristic angle influence index, improves the air compressor quality monitoring efficiency, timely discovers potential air compressor quality problems through the structural characteristic influence coefficient, optimizes production efficiency, reduces downtime, ensures the reliability and stability of the data through air compressor operation matching data, and accurately evaluates the production quality of the air compressor through the air compressor quality difference index, ensures that the equipment meets industry standards and user requirements, thereby improving customer satisfaction and the economic benefits of the equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of air compressor production, and in particular to a method and system for monitoring the production quality of air compressors based on a neural network. Background Art

[0002] An air compressor is a device used to compress gas. It is similar to a water pump in structure. Most air compressors are reciprocating piston type, with rotating blades or rotating screws. They are mainly composed of an air inlet, a compressor, a cooler, a valve, etc. During the operation of the air compressor, if there are faults such as insufficient exhaust volume, over-temperature, over-pressure, overload, abnormal noise, etc., it often indicates that there is a problem with the quality of the air compressor, affecting the reliability of the product brand. Therefore, it is very important to monitor the production quality of the air compressor and keep the production quality of the air compressor in line with product standards.

[0003] At present, there are still problems in the production quality monitoring of air compressors, such as the inability to analyze the quality of air compressors based on the structural relationship between different functional structures of the air compressors, the inability to accurately evaluate the influence of different air transmission angles of the functional structures on air compression, and the inability to accurately evaluate the quality of air compressors through air compressor operation data. Summary of the invention

[0004] In order to solve the above technical problems, a neural network-based air compressor production quality monitoring method and system are provided. The technical solution solves the problems raised in the above background technology that the air compressor quality cannot be analyzed according to the structural relationship between different functional structures of the air compressor, the influence of different air transmission angles of the functional structure on air compression cannot be accurately evaluated, and the air compressor quality cannot be accurately evaluated through the air compressor operation data.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A method for monitoring the production quality of air compressors based on a neural network, comprising:

[0007] Detecting the functional structure of the air compressor to obtain functional structure information of the air compressor, wherein the functional structure information of the air compressor includes air intake structure information, compression structure information, cooling structure information and air storage structure information;

[0008] Based on the air compressor quality standard, obtaining air compressor parameter information, wherein the air compressor parameter information includes intake pressure information, compressed air parameter information, air cooling parameter information and air storage parameter information;

[0009] According to the air compressor functional structure information, structural characteristic angle information is acquired, where the structural characteristic angle information represents air transmission angle information between different air compressor functional structures;

[0010] According to the structural characteristic angle information and the air compressor parameter information, it is judged whether the basic quality of the air compressor meets the production standards. If not, the functional structure of the air compressor is adjusted. If yes, the air compressor is tested to obtain the air compressor operation data, which includes the air compressor vibration information and the air compressor temperature information;

[0011] Perform feature matching on data with different attributes in the air compressor operation data to obtain air compressor operation matching data;

[0012] According to the air compressor operation matching data, it is judged whether the quality of the air compressor meets the production standards. If so, the air compressor production quality is qualified. If not, the air compressor production process is adjusted according to the air compressor operation matching data.

[0013] Preferably, judging whether the basic quality of the air compressor meets the production standards based on the structural feature angle information and the air compressor parameter information specifically includes:

[0014] According to the air compressor parameter information, the intake pressure information and compressed air parameter information are obtained;

[0015] Acquire first structural characteristic angle information according to the structural characteristic angle information, wherein the first structural characteristic angle information represents an air transmission angle between the intake structure and the compression structure;

[0016] Acquire historical test data of the air compressor, wherein the historical test data of the air compressor includes historical intake pressure information and historical compressed air parameter information at different first structural characteristic angles;

[0017] Based on the historical test data of the air compressor, obtain the air compression influence coefficient;

[0018] Based on the intake pressure information and the air compression influence coefficient, obtaining a first structural characteristic angle influence index;

[0019] According to the compressed air parameter information, a first structural characteristic angle influence index threshold is obtained;

[0020] Judging whether the first structural feature angle meets the production standard according to the first structural feature angle influence index and the first structural feature angle influence index threshold;

[0021] Among them, if the first structural feature angle influence index , then the first structural feature angle does not meet the production standard, and the first structural feature angle is adjusted. , then the first structural feature angle is qualified;

[0022] The calculation formula of the first structural feature angle influence index is: In the formula, is the first structural feature angle influence index, is the air compression coefficient, is the intake pressure, represents the air vortex probability at the first structural characteristic angle, is the first structural characteristic angle, is the air density, is the characteristic length, i.e. the diameter of the air compressor intake pipe. is the dynamic viscosity of air, is the air compression pressure of the air compressor, and D is the air vortex index.

[0023] Preferably, judging whether the basic quality of the air compressor meets the production standards based on the structural feature angle information and the air compressor parameter information further includes:

[0024] According to the air compressor parameter information, obtain air cooling parameter information and air storage parameter information;

[0025] According to the structural feature angle information, second structural feature angle information and third structural feature angle information are obtained;

[0026] Based on the intake pressure information and the compressed air parameter information, the compressed air temperature information is obtained;

[0027] Obtaining an air cooling influence coefficient according to the compressed air temperature information, the second structural characteristic angle information and the air cooling parameter information;

[0028] Acquire compressed air storage information according to the third structural characteristic angle information and the air storage parameter information;

[0029] According to the air cooling influence coefficient and the compressed air storage information, determine whether the second structural characteristic angle information and the third structural characteristic angle information meet the standard. If so, the second structural characteristic angle information and the third structural characteristic angle information are qualified. If not, the second structural characteristic angle information and the third structural characteristic angle information are adjusted.

[0030] Preferably, judging whether the second structural characteristic angle information and the third structural characteristic angle information meet the standard according to the air cooling influence coefficient and the compressed air storage information specifically includes:

[0031] According to the intake pressure information and compressed air parameter information, the compressed air temperature information is obtained: Where T is the compressed air temperature, is the air temperature, is the compressed air pressure, is the air pressure, is the specific heat capacity of air, which is ;

[0032] According to the second structural characteristic angle information and air cooling parameter information, the air cooling temperature is obtained: Simultaneous equations to calculate the air cooling temperature ;

[0033] In the formula, is the second structural characteristic angle, is the density of compressed air, is the rate of change of compressed air velocity field over time, is the compressed air velocity field, is the convection term of the compressed air velocity field, which is used to describe the nonlinear effect of compressed air flow. is the pressure gradient term, which represents the effect of pressure on compressed air. is the compressed air pressure, is the viscosity term, describing the internal friction or viscous resistance of the fluid, is the dynamic viscosity of compressed air, is the specific heat capacity of compressed air, is the rate of change of compressed air temperature with time, is the convection term, which represents the temperature change caused by the compressed air flow, is the thermal conductivity term, is the thermal conductivity;

[0034] According to the air cooling temperature and compressed air temperature information, the air cooling influence coefficient is obtained: In the formula, is the air cooling influence coefficient, It is the standard difference value of cooling temperature of compressed air in air compressor;

[0035] According to the air cooling influence coefficient and the compressed air storage information, it is determined whether the second structural characteristic angle information and the third structural characteristic angle information meet the standards.

[0036] Preferably, judging whether the second structural characteristic angle information and the third structural characteristic angle information meet the standard according to the air cooling influence coefficient and the compressed air storage information specifically includes:

[0037] According to the compressed air storage information, a compressed air storage coefficient is obtained;

[0038] According to the air cooling influence coefficient and the compressed air storage coefficient, the structural characteristic influence coefficient is obtained;

[0039] According to the structural feature influence coefficient, judging whether the second structural feature angle information and the third structural feature angle information meet the standard;

[0040] Among them, if the structural characteristics influence the coefficient , then the second structural characteristic angle and the third structural characteristic angle do not meet the standard, and the second structural characteristic angle and the third structural characteristic angle are adjusted. , then the second structural characteristic angle and the third structural characteristic angle are qualified;

[0041] The calculation formula of the structural feature influence coefficient is: Where E is the structural characteristics influence coefficient, is the third structural characteristic angle, is the maximum value of the third structural characteristic angle, Basic compressed air flow coefficient, .

[0042] Preferably, judging whether the quality of the air compressor meets the production standards based on the air compressor operation matching data specifically includes:

[0043] According to the air compressor operation data, obtain the air compressor vibration information and air compressor temperature information;

[0044] According to the air compressor vibration information, based on the functional structure vibration status, the air compressor vibration matching information is obtained, wherein the air compressor vibration matching information includes intake pressure information, compressed air parameter information and air storage parameter information;

[0045] According to the air compressor temperature information, based on the temperature influence of the functional structure, the air compressor temperature matching information is obtained, wherein the air compressor temperature matching information includes compressed air parameter information and air cooling parameter information;

[0046] According to the air compressor vibration matching information and the air compressor temperature matching information, the air compressor operation matching data is obtained;

[0047] According to the air compressor operation matching data, the air compressor quality difference index is obtained;

[0048] According to the air compressor quality difference index, judge whether the quality of the air compressor meets the production standards;

[0049] Among them, if , the quality of the air compressor meets the production standards. , the quality of the air compressor is unqualified, and the air compressor production process should be adjusted;

[0050] The calculation formula of the air compressor quality difference index is: Where R is the air compressor quality difference index, and is the vibration coefficient of the air compressor, C is the vibration frequency of the air compressor, D is the vibration amplitude of the air compressor, is the air compressor temperature.

[0051] Furthermore, a neural network-based air compressor production quality monitoring system is proposed to implement the above-mentioned quality monitoring method, including:

[0052] A main control module, wherein the main control module is used to determine whether the first structural feature angle meets the production standard according to the first structural feature angle influence index and the first structural feature angle influence index threshold, determine whether the second structural feature angle information and the third structural feature angle information meet the standard according to the air cooling influence coefficient and the compressed air storage information, determine whether the air compressor quality meets the production standard according to the air compressor quality difference index, obtain air compressor vibration matching information based on the functional structure vibration status according to the air compressor vibration information, obtain air compressor temperature matching information based on the functional structure temperature influence according to the air compressor temperature information, obtain air compressor operation matching data according to the air compressor vibration matching information and the air compressor temperature matching information, obtain the air compressor quality difference index according to the air compressor operation matching data, and adjust the air compressor production process according to the air compressor operation matching data;

[0053] An information acquisition module, wherein the information acquisition module is used to acquire the functional structure information, air intake structure information, compression structure information, cooling structure information and air storage structure information of the air compressor, acquire the air compressor parameter information, air intake pressure information, compressed air parameter information, air cooling parameter information and air storage parameter information based on the air compressor quality standard, acquire the air compressor historical test data, acquire the structural feature angle information according to the air compressor functional structure information, perform a working test on the air compressor, and acquire the air compressor operation data;

[0054] An evaluation module, the evaluation module is used to obtain an air compression influence coefficient based on historical test data of the air compressor, obtain a first structural feature angle influence index based on intake pressure information and the air compression influence coefficient, obtain an air cooling influence coefficient based on compressed air temperature information, second structural feature angle information and air cooling parameter information, obtain a compressed air storage coefficient based on compressed air storage information, and obtain a structural feature influence coefficient based on the air cooling influence coefficient and the compressed air storage coefficient;

[0055] A display module interacts with the main control module and is used to output and display the first structural feature angle influence index, the structural feature influence coefficient and the air compressor quality difference index.

[0056] Optionally, the main control module specifically includes:

[0057] A control unit, the control unit is used to obtain air compressor vibration matching information based on the vibration status of the functional structure according to the air compressor vibration information, obtain air compressor temperature matching information based on the temperature influence of the functional structure according to the air compressor temperature information, obtain air compressor operation matching data according to the air compressor vibration matching information and the air compressor temperature matching information, obtain the air compressor quality difference index according to the air compressor operation matching data, and adjust the air compressor production process according to the air compressor operation matching data;

[0058] An information receiving unit, which interacts with the information acquisition module and the evaluation module to receive data and transmit it to the judgment unit;

[0059] A judgment unit, wherein the judgment unit is used to judge whether the first structural feature angle meets the production standard according to the first structural feature angle influence index and the first structural feature angle influence index threshold, judge whether the second structural feature angle information and the third structural feature angle information meet the standard according to the air cooling influence coefficient and the compressed air storage information, and judge whether the air compressor quality meets the production standard according to the air compressor quality difference index.

[0060] Optionally, the information acquisition module specifically includes:

[0061] A first acquisition unit, the first acquisition unit is used to acquire air compressor function structure information, air intake structure information, compression structure information, cooling structure information and air storage structure information, and based on the air compressor quality standard, acquire air compressor parameter information, air intake pressure information, compressed air parameter information, air cooling parameter information and air storage parameter information;

[0062] The second acquisition unit is used to acquire historical test data of the air compressor, acquire structural feature angle information according to functional structure information of the air compressor, perform working test on the air compressor, and acquire operating data of the air compressor.

[0063] Optionally, the evaluation module specifically includes:

[0064] A first evaluation unit, the first evaluation unit is used to obtain an air compression influence coefficient based on historical test data of the air compressor, and to obtain a first structural feature angle influence index based on intake pressure information and the air compression influence coefficient;

[0065] The second evaluation unit is used to obtain the air cooling influence coefficient according to the compressed air temperature information, the second structural feature angle information and the air cooling parameter information, obtain the compressed air storage coefficient according to the compressed air storage information, and obtain the structural feature influence coefficient according to the air cooling influence coefficient and the compressed air storage coefficient.

[0066] Compared with the prior art, the present invention has the following beneficial effects:

[0067] The present invention proposes a method and system for monitoring the production quality of air compressors based on a neural network. The method and system accurately evaluate the influence of the air intake angle on air compression through the first structural characteristic angle influence index, thereby improving the air compressor quality monitoring efficiency. The method timely discovers potential air compressor quality problems through the structural characteristic influence coefficient, optimizes production efficiency, reduces downtime, and extends the service life of the air compressor. The reliability and stability of the data are ensured through air compressor operation matching data. The air compressor quality difference index is used to accurately evaluate the production quality of the air compressor to ensure that the equipment meets industry standards and user requirements, thereby improving customer satisfaction and the economic benefits of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 This is a flow chart of a method for monitoring the production quality of air compressors based on a neural network proposed by the present invention;

[0069] Figure 2 A flowchart for obtaining the first structural feature angle influence index in the present invention;

[0070] Figure 3 A flow chart for obtaining the structural feature influence coefficient in the present invention;

[0071] Figure 4 A flow chart for obtaining the quality difference index of the air compressor in the present invention;

[0072] Figure 5 This is a structural block diagram of an air compressor production quality monitoring system based on neural network proposed by the present invention. DETAILED DESCRIPTION

[0073] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0074] Reference Figure 1 - Figure 4 As shown, a method for monitoring the production quality of an air compressor based on a neural network in an embodiment of the present invention includes:

[0075] Detecting the functional structure of the air compressor to obtain functional structure information of the air compressor, wherein the functional structure information of the air compressor includes air intake structure information, compression structure information, cooling structure information and air storage structure information;

[0076] Based on the air compressor quality standard, obtaining air compressor parameter information, wherein the air compressor parameter information includes intake pressure information, compressed air parameter information, air cooling parameter information and air storage parameter information;

[0077] According to the air compressor functional structure information, structural characteristic angle information is acquired, where the structural characteristic angle information represents air transmission angle information between different air compressor functional structures;

[0078] According to the structural characteristic angle information and the air compressor parameter information, it is judged whether the basic quality of the air compressor meets the production standards. If not, the functional structure of the air compressor is adjusted. If yes, the air compressor is tested to obtain the air compressor operation data, which includes the air compressor vibration information and the air compressor temperature information;

[0079] Specifically, based on the structural feature angle information and air compressor parameter information, determine whether the basic quality of the air compressor meets the production standards, including:

[0080] According to the air compressor parameter information, the intake pressure information and compressed air parameter information are obtained;

[0081] Acquire first structural characteristic angle information according to the structural characteristic angle information, wherein the first structural characteristic angle information represents an air transmission angle between the intake structure and the compression structure;

[0082] Acquire historical test data of the air compressor, wherein the historical test data of the air compressor includes historical intake pressure information and historical compressed air parameter information at different first structural characteristic angles;

[0083] Based on the historical test data of the air compressor, obtain the air compression influence coefficient;

[0084] Based on the intake pressure information and the air compression influence coefficient, obtaining a first structural characteristic angle influence index;

[0085] According to the compressed air parameter information, a first structural characteristic angle influence index threshold is obtained;

[0086] Judging whether the first structural feature angle meets the production standard according to the first structural feature angle influence index and the first structural feature angle influence index threshold;

[0087] Among them, if the first structural feature angle influence index , then the first structural feature angle does not meet the production standard, and the first structural feature angle is adjusted. , then the first structural feature angle is qualified;

[0088] The calculation formula of the first structural feature angle influence index is: In the formula, is the first structural feature angle influence index, is the air compression coefficient, is the intake pressure, represents the air vortex probability at the first structural characteristic angle, is the first structural characteristic angle, is the air density, is the characteristic length, i.e. the diameter of the air compressor intake pipe. is the dynamic viscosity of air, is the air compression pressure of the air compressor, and D is the air vortex index.

[0089] In this scheme, the air compression influence coefficient is obtained through the historical test data of the air compressor, and the first structural characteristic angle influence index is obtained through the intake pressure information and the air compression influence coefficient. According to the first structural characteristic angle influence index and the first structural characteristic angle influence index threshold, it is judged whether the first structural characteristic angle meets the production standard. Through the first structural characteristic angle influence index, the air transmission condition between the intake structure and the compression structure is analyzed, and the influence of the intake angle on the air compression is accurately evaluated, thereby improving the quality monitoring efficiency of the air compressor.

[0090] It should be noted that the intake pressure and the first structural characteristic angle are gradually increased from small to large until air vortex appears during air transmission between the intake structure and the compression structure of the air compressor.

[0091] The value of is the air vortex index. The historical test data of the air compressor are screened, and the historical intake pressure information and historical compressed air parameter information at different first structural characteristic angles when no air vortex occurs are selected. The intake pressure and the first structural characteristic angle are used as input, and the air compression efficiency is used as output. The influencing parameters of the intake pressure and the first structural characteristic angle on the air compression efficiency, that is, the air compression influence coefficient k, are obtained.

[0092] Specifically, judging whether the basic quality of the air compressor meets the production standards based on the structural characteristic angle information and the air compressor parameter information also includes:

[0093] According to the air compressor parameter information, obtain air cooling parameter information and air storage parameter information;

[0094] According to the structural feature angle information, second structural feature angle information and third structural feature angle information are obtained;

[0095] Based on the intake pressure information and the compressed air parameter information, the compressed air temperature information is obtained;

[0096] Obtaining an air cooling influence coefficient according to the compressed air temperature information, the second structural characteristic angle information and the air cooling parameter information;

[0097] Acquire compressed air storage information according to the third structural characteristic angle information and the air storage parameter information;

[0098] According to the air cooling influence coefficient and the compressed air storage information, determine whether the second structural characteristic angle information and the third structural characteristic angle information meet the standard, if so, the second structural characteristic angle information and the third structural characteristic angle information are qualified, if not, adjust the second structural characteristic angle information and the third structural characteristic angle information;

[0099] According to the air cooling influence coefficient and the compressed air storage information, it is judged whether the second structural characteristic angle information and the third structural characteristic angle information meet the standard, specifically including:

[0100] According to the intake pressure information and compressed air parameter information, the compressed air temperature information is obtained: Where T is the compressed air temperature, is the air temperature, is the compressed air pressure, is the air pressure, is the specific heat capacity of air, which is ;

[0101] According to the second structural characteristic angle information and air cooling parameter information, the air cooling temperature is obtained: Simultaneous equations to calculate the air cooling temperature ;

[0102] In the formula, is the second structural characteristic angle, is the density of compressed air, is the rate of change of compressed air velocity field over time, is the compressed air velocity field, is the convection term of the compressed air velocity field, which is used to describe the nonlinear effect of compressed air flow. is the pressure gradient term, which represents the effect of pressure on compressed air. is the compressed air pressure, is the viscosity term, describing the internal friction or viscous resistance of the fluid, is the dynamic viscosity of compressed air, is the specific heat capacity of compressed air, is the rate of change of compressed air temperature with time, is the convection term, which represents the temperature change caused by the compressed air flow, is the thermal conductivity term, is the thermal conductivity;

[0103] According to the air cooling temperature and compressed air temperature information, the air cooling influence coefficient is obtained: In the formula, is the air cooling influence coefficient, It is the standard difference value of cooling temperature of compressed air in air compressor;

[0104] According to the compressed air storage information, a compressed air storage coefficient is obtained;

[0105] According to the air cooling influence coefficient and the compressed air storage coefficient, the structural characteristic influence coefficient is obtained;

[0106] According to the structural feature influence coefficient, judging whether the second structural feature angle information and the third structural feature angle information meet the standard;

[0107] Among them, if the structural characteristics influence the coefficient , then the second structural characteristic angle and the third structural characteristic angle do not meet the standard, and the second structural characteristic angle and the third structural characteristic angle are adjusted. , then the second structural characteristic angle and the third structural characteristic angle are qualified;

[0108] The calculation formula of the structural feature influence coefficient is: Where E is the structural characteristics influence coefficient, is the third structural characteristic angle, is the maximum value of the third structural characteristic angle, Basic compressed air flow coefficient, .

[0109] In this scheme, the compressed air temperature information is obtained through the intake pressure information and the compressed air parameter information, and the air cooling influence coefficient is obtained according to the compressed air temperature information, the second structure characteristic angle information and the air cooling parameter information. The air cooling influence coefficient is used to accurately evaluate the influence of the gas transmission angle of the compression structure and the cooling structure on the compressed air cooling. When the compression structure outputs the compressed air, if the air outlet angle is inappropriate, it may cause uneven compressed air flow, thereby affecting the heat dissipation efficiency of the cooler, reducing the heat exchange efficiency, and resulting in poor compressed air cooling effect.

[0110] In this embodiment, the compressed air storage coefficient is obtained through compressed air storage information, and the storage status of the compressed air after cooling is analyzed through the compressed air storage coefficient. It can be understood that during the compressed air storage process, the gas transmission angle between the cooling structure and the gas storage structure will affect the flow coefficient, and then affect the stability of compressed air storage. According to the air cooling influence coefficient and the compressed air storage coefficient, the structural characteristic influence coefficient is obtained. Through the structural characteristic influence coefficient, potential air compressor quality problems can be discovered in time, production efficiency can be optimized, downtime can be reduced, and the service life of the air compressor can be extended.

[0111] Perform feature matching on data with different attributes in the air compressor operation data to obtain air compressor operation matching data;

[0112] According to the air compressor operation matching data, it is judged whether the quality of the air compressor meets the production standards. If so, the air compressor production quality is qualified. If not, the air compressor production process is adjusted according to the air compressor operation matching data.

[0113] Specifically, based on the air compressor operation matching data, determine whether the air compressor quality meets the production standards, including:

[0114] According to the air compressor operation data, obtain the air compressor vibration information and air compressor temperature information;

[0115] According to the air compressor vibration information, based on the functional structure vibration status, the air compressor vibration matching information is obtained, wherein the air compressor vibration matching information includes intake pressure information, compressed air parameter information and air storage parameter information;

[0116] According to the air compressor temperature information, based on the temperature influence of the functional structure, the air compressor temperature matching information is obtained, wherein the air compressor temperature matching information includes compressed air parameter information and air cooling parameter information;

[0117] According to the air compressor vibration matching information and the air compressor temperature matching information, the air compressor operation matching data is obtained;

[0118] According to the air compressor operation matching data, the air compressor quality difference index is obtained;

[0119] According to the air compressor quality difference index, judge whether the quality of the air compressor meets the production standards;

[0120] Among them, if , the quality of the air compressor meets the production standards. , the quality of the air compressor is unqualified, and the air compressor production process should be adjusted;

[0121] The calculation formula of the air compressor quality difference index is: Where R is the air compressor quality difference index, and is the vibration coefficient of the air compressor, C is the vibration frequency of the air compressor, D is the vibration amplitude of the air compressor, is the air compressor temperature.

[0122] In this solution, the vibration matching information of the air compressor is obtained based on the vibration status of the functional structure through the air compressor vibration information, and the temperature matching information of the air compressor is obtained based on the temperature influence of the functional structure through the air compressor temperature information, thereby ensuring the reliability and stability of the data. The air compressor quality difference index is obtained according to the air compressor operation matching data. The air compressor production quality is accurately evaluated through the air compressor quality difference index to ensure that the equipment meets industry standards and user requirements, thereby improving customer satisfaction and the economic benefits of the equipment;

[0123] It should be noted that and is the vibration coefficient of the air compressor, which indicates the proportional coefficient of the vibration data of the air compressor compression structure and the air storage structure when they are working. It is obtained through the standard parameters of the air compressor product. and Specific data;

[0124] It is understandable that the operating data of an air compressor often reflects the quality status of the air compressor, and the operating data of an air compressor is closely related to the working parameters of the air compressor. In this embodiment, the vibration conditions of the air intake structure, compression structure and air storage structure of the air compressor during operation are compared with the overall vibration conditions of the air compressor, and the temperature influence conditions of the compression structure and cooling structure of the air compressor during engineering are compared with the temperature of the air compressor equipment, so as to achieve an accurate assessment of the production quality of the air compressor and ensure that the production quality of the air compressor meets the product standards.

[0125] Reference Figure 5 As shown, further, in combination with the above-mentioned air compressor production quality monitoring method based on neural network, a neural network-based air compressor production quality monitoring system is proposed, including:

[0126] A main control module, wherein the main control module is used to determine whether the first structural feature angle meets the production standard according to the first structural feature angle influence index and the first structural feature angle influence index threshold, determine whether the second structural feature angle information and the third structural feature angle information meet the standard according to the air cooling influence coefficient and the compressed air storage information, determine whether the air compressor quality meets the production standard according to the air compressor quality difference index, obtain air compressor vibration matching information based on the functional structure vibration status according to the air compressor vibration information, obtain air compressor temperature matching information based on the functional structure temperature influence according to the air compressor temperature information, obtain air compressor operation matching data according to the air compressor vibration matching information and the air compressor temperature matching information, obtain the air compressor quality difference index according to the air compressor operation matching data, and adjust the air compressor production process according to the air compressor operation matching data;

[0127] An information acquisition module, wherein the information acquisition module is used to acquire the functional structure information, air intake structure information, compression structure information, cooling structure information and air storage structure information of the air compressor, acquire the air compressor parameter information, air intake pressure information, compressed air parameter information, air cooling parameter information and air storage parameter information based on the air compressor quality standard, acquire the air compressor historical test data, acquire the structural feature angle information according to the air compressor functional structure information, perform a working test on the air compressor, and acquire the air compressor operation data;

[0128] An evaluation module, the evaluation module is used to obtain an air compression influence coefficient based on historical test data of the air compressor, obtain a first structural feature angle influence index based on intake pressure information and the air compression influence coefficient, obtain an air cooling influence coefficient based on compressed air temperature information, second structural feature angle information and air cooling parameter information, obtain a compressed air storage coefficient based on compressed air storage information, and obtain a structural feature influence coefficient based on the air cooling influence coefficient and the compressed air storage coefficient;

[0129] A display module interacts with the main control module and is used to output and display the first structural feature angle influence index, the structural feature influence coefficient and the air compressor quality difference index.

[0130] Main control module, including:

[0131] A control unit, the control unit is used to obtain air compressor vibration matching information based on the vibration status of the functional structure according to the air compressor vibration information, obtain air compressor temperature matching information based on the temperature influence of the functional structure according to the air compressor temperature information, obtain air compressor operation matching data according to the air compressor vibration matching information and the air compressor temperature matching information, obtain the air compressor quality difference index according to the air compressor operation matching data, and adjust the air compressor production process according to the air compressor operation matching data;

[0132] An information receiving unit, which interacts with the information acquisition module and the evaluation module to receive data and transmit it to the judgment unit;

[0133] A judgment unit, wherein the judgment unit is used to judge whether the first structural feature angle meets the production standard according to the first structural feature angle influence index and the first structural feature angle influence index threshold, judge whether the second structural feature angle information and the third structural feature angle information meet the standard according to the air cooling influence coefficient and the compressed air storage information, and judge whether the air compressor quality meets the production standard according to the air compressor quality difference index.

[0134] Main control module, including:

[0135] A control unit, the control unit is used to obtain air compressor vibration matching information based on the vibration status of the functional structure according to the air compressor vibration information, obtain air compressor temperature matching information based on the temperature influence of the functional structure according to the air compressor temperature information, obtain air compressor operation matching data according to the air compressor vibration matching information and the air compressor temperature matching information, obtain the air compressor quality difference index according to the air compressor operation matching data, and adjust the air compressor production process according to the air compressor operation matching data;

[0136] An information receiving unit, which interacts with the information acquisition module and the evaluation module to receive data and transmit it to the judgment unit;

[0137] A judgment unit, wherein the judgment unit is used to judge whether the first structural feature angle meets the production standard according to the first structural feature angle influence index and the first structural feature angle influence index threshold, judge whether the second structural feature angle information and the third structural feature angle information meet the standard according to the air cooling influence coefficient and the compressed air storage information, and judge whether the air compressor quality meets the production standard according to the air compressor quality difference index.

[0138] Assessment modules include:

[0139] A first evaluation unit, the first evaluation unit is used to obtain an air compression influence coefficient based on historical test data of the air compressor, and to obtain a first structural feature angle influence index based on intake pressure information and the air compression influence coefficient;

[0140] The second evaluation unit is used to obtain the air cooling influence coefficient according to the compressed air temperature information, the second structural feature angle information and the air cooling parameter information, obtain the compressed air storage coefficient according to the compressed air storage information, and obtain the structural feature influence coefficient according to the air cooling influence coefficient and the compressed air storage coefficient.

[0141] In summary, the advantages of the present invention are: through the intake pressure information and the air compression influence coefficient, the first structural characteristic angle influence index is obtained, and the air transmission condition between the intake structure and the compression structure is analyzed through the first structural characteristic angle influence index, and the influence of the intake angle on the air compression is accurately evaluated, thereby improving the air compressor quality monitoring efficiency; through the compressed air temperature information, the second structural characteristic angle information and the air cooling parameter information, the air cooling influence coefficient is obtained; according to the air cooling influence coefficient and the compressed air storage coefficient, the structural characteristic influence coefficient is obtained; through the structural characteristic influence coefficient, potential air compressor quality problems are discovered in time, production efficiency is optimized, downtime is reduced, and the service life of the air compressor is extended; through the air compressor vibration matching information and the air compressor temperature matching information, the air compressor operation matching data is obtained, and the reliability and stability of the data are ensured; through the air compressor operation matching data, the air compressor quality difference index is obtained; through the air compressor quality difference index, the air compressor production quality is accurately evaluated to ensure that the equipment meets industry standards and user requirements, thereby improving customer satisfaction and the economic benefits of the equipment.

[0142] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for monitoring the production quality of air compressors based on neural networks, characterized in that: include: Detecting the functional structure of the air compressor to obtain functional structure information of the air compressor, wherein the functional structure information of the air compressor includes air intake structure information, compression structure information, cooling structure information and air storage structure information; Based on the air compressor quality standard, obtaining air compressor parameter information, wherein the air compressor parameter information includes intake pressure information, compressed air parameter information, air cooling parameter information and air storage parameter information; According to the air compressor functional structure information, structural characteristic angle information is acquired, where the structural characteristic angle information represents air transmission angle information between different air compressor functional structures; According to the structural characteristic angle information and the air compressor parameter information, it is judged whether the basic quality of the air compressor meets the production standards. If not, the functional structure of the air compressor is adjusted. If yes, the air compressor is tested to obtain the air compressor operation data, which includes the air compressor vibration information and the air compressor temperature information; Perform feature matching on data with different attributes in the air compressor operation data to obtain air compressor operation matching data; According to the air compressor operation matching data, determine whether the air compressor quality meets the production standards. If so, the air compressor production quality is qualified. If not, adjust the air compressor production process according to the air compressor operation matching data; The determining whether the basic quality of the air compressor meets the production standards based on the structural feature angle information and the air compressor parameter information specifically includes: According to the air compressor parameter information, the intake pressure information and compressed air parameter information are obtained; Acquire first structural characteristic angle information according to the structural characteristic angle information, wherein the first structural characteristic angle information represents an air transmission angle between the intake structure and the compression structure; Acquire historical test data of the air compressor, wherein the historical test data of the air compressor includes historical intake pressure information and historical compressed air parameter information at different first structural characteristic angles; Based on the historical test data of the air compressor, obtain the air compression influence coefficient; Based on the intake pressure information and the air compression influence coefficient, obtaining a first structural characteristic angle influence index; According to the compressed air parameter information, a first structural characteristic angle influence index threshold is obtained; Judging whether the first structural feature angle meets the production standard according to the first structural feature angle influence index and the first structural feature angle influence index threshold; Among them, if the first structural feature angle influence index , then the first structural feature angle does not meet the production standard, and the first structural feature angle is adjusted. , then the first structural feature angle is qualified; According to the air compressor parameter information, obtain air cooling parameter information and air storage parameter information; According to the structural feature angle information, second structural feature angle information and third structural feature angle information are obtained; Based on the intake pressure information and the compressed air parameter information, the compressed air temperature information is obtained; Obtaining an air cooling influence coefficient according to the compressed air temperature information, the second structural characteristic angle information and the air cooling parameter information; Acquire compressed air storage information according to the third structural characteristic angle information and the air storage parameter information; According to the air cooling influence coefficient and the compressed air storage information, determine whether the second structural characteristic angle information and the third structural characteristic angle information meet the standard, if so, the second structural characteristic angle information and the third structural characteristic angle information are qualified, if not, adjust the second structural characteristic angle information and the third structural characteristic angle information; The calculation formula of the first structural feature angle influence index is: In the formula, is the first structural feature angle influence index, is the air compression coefficient, is the intake pressure, represents the air vortex probability at the first structural characteristic angle, is the first structural characteristic angle, is the air density, is the characteristic length, i.e. the diameter of the air compressor intake pipe. is the air dynamic viscosity, is the air compression pressure of the air compressor, and D is the air vortex index.

2. The method for monitoring the production quality of air compressors based on a neural network according to claim 1, characterized in that: The step of judging whether the second structural characteristic angle information and the third structural characteristic angle information meet the standard according to the air cooling influence coefficient and the compressed air storage information specifically includes: According to the intake pressure information and compressed air parameter information, the compressed air temperature information is obtained: Where T is the compressed air temperature, is the air temperature, is the compressed air pressure, is the air pressure, is the specific heat capacity of air, which is ; According to the second structural characteristic angle information and air cooling parameter information, the air cooling temperature is obtained: Simultaneous equations to calculate the air cooling temperature ; In the formula, is the second structural characteristic angle, is the density of compressed air, is the rate of change of compressed air velocity field over time, is the compressed air velocity field, is the convection term of the compressed air velocity field, which is used to describe the nonlinear effect of compressed air flow. is the pressure gradient term, which represents the effect of pressure on compressed air. is the compressed air pressure, is the viscosity term, describing the internal friction or viscous resistance of the fluid, is the dynamic viscosity of compressed air, is the specific heat capacity of compressed air, is the rate of change of compressed air temperature with time, is the convection term, which represents the temperature change caused by the compressed air flow, is the thermal conductivity term, is the thermal conductivity; According to the air cooling temperature and compressed air temperature information, the air cooling influence coefficient is obtained: In the formula, is the air cooling influence coefficient, It is the standard difference value of cooling temperature of compressed air in air compressor; According to the air cooling influence coefficient and the compressed air storage information, it is determined whether the second structural characteristic angle information and the third structural characteristic angle information meet the standards.

3. The method for monitoring the production quality of air compressors based on a neural network according to claim 2, characterized in that: The step of judging whether the second structural characteristic angle information and the third structural characteristic angle information meet the standard according to the air cooling influence coefficient and the compressed air storage information specifically includes: According to the compressed air storage information, a compressed air storage coefficient is obtained; According to the air cooling influence coefficient and the compressed air storage coefficient, the structural characteristic influence coefficient is obtained; According to the structural feature influence coefficient, judging whether the second structural feature angle information and the third structural feature angle information meet the standard; Among them, if the structural characteristics influence the coefficient , then the second structural characteristic angle and the third structural characteristic angle do not meet the standard, and the second structural characteristic angle and the third structural characteristic angle are adjusted. , then the second structural characteristic angle and the third structural characteristic angle are qualified; The calculation formula of the structural feature influence coefficient is: Where E is the structural characteristics influence coefficient, is the third structural characteristic angle, is the maximum value of the third structural characteristic angle, Basic compressed air flow coefficient, .

4. The method for monitoring the production quality of air compressors based on a neural network according to claim 1, characterized in that: The determination of whether the quality of the air compressor meets the production standards based on the air compressor operation matching data specifically includes: According to the air compressor operation data, obtain the air compressor vibration information and air compressor temperature information; According to the air compressor vibration information, based on the functional structure vibration status, the air compressor vibration matching information is obtained, wherein the air compressor vibration matching information includes intake pressure information, compressed air parameter information and air storage parameter information; According to the air compressor temperature information, based on the temperature influence of the functional structure, the air compressor temperature matching information is obtained, wherein the air compressor temperature matching information includes compressed air parameter information and air cooling parameter information; According to the air compressor vibration matching information and the air compressor temperature matching information, the air compressor operation matching data is obtained; According to the air compressor operation matching data, the air compressor quality difference index is obtained; According to the air compressor quality difference index, judge whether the quality of the air compressor meets the production standards; Among them, if , the quality of the air compressor meets the production standards. , the quality of the air compressor is unqualified, and the air compressor production process should be adjusted; The calculation formula of the air compressor quality difference index is: Where R is the air compressor quality difference index, and is the vibration coefficient of the air compressor, C is the vibration frequency of the air compressor, D is the vibration amplitude of the air compressor, is the air compressor temperature.

5. A neural network-based air compressor production quality monitoring system, used to implement the quality monitoring method according to any one of claims 1 to 4, characterized in that: include: A main control module, wherein the main control module is used to determine whether the first structural feature angle meets the production standard according to the first structural feature angle influence index and the first structural feature angle influence index threshold, determine whether the second structural feature angle information and the third structural feature angle information meet the standard according to the air cooling influence coefficient and the compressed air storage information, determine whether the air compressor quality meets the production standard according to the air compressor quality difference index, obtain air compressor vibration matching information based on the functional structure vibration status according to the air compressor vibration information, obtain air compressor temperature matching information based on the functional structure temperature influence according to the air compressor temperature information, obtain air compressor operation matching data according to the air compressor vibration matching information and the air compressor temperature matching information, obtain the air compressor quality difference index according to the air compressor operation matching data, and adjust the air compressor production process according to the air compressor operation matching data; An information acquisition module, wherein the information acquisition module is used to acquire the functional structure information, air intake structure information, compression structure information, cooling structure information and air storage structure information of the air compressor, acquire the air compressor parameter information, air intake pressure information, compressed air parameter information, air cooling parameter information and air storage parameter information based on the air compressor quality standard, acquire the air compressor historical test data, acquire the structural feature angle information according to the air compressor functional structure information, perform a working test on the air compressor, and acquire the air compressor operation data; An evaluation module, the evaluation module is used to obtain an air compression influence coefficient based on historical test data of the air compressor, obtain a first structural feature angle influence index based on intake pressure information and the air compression influence coefficient, obtain an air cooling influence coefficient based on compressed air temperature information, second structural feature angle information and air cooling parameter information, obtain a compressed air storage coefficient based on compressed air storage information, and obtain a structural feature influence coefficient based on the air cooling influence coefficient and the compressed air storage coefficient; A display module interacts with the main control module and is used to output and display the first structural feature angle influence index, the structural feature influence coefficient and the air compressor quality difference index.

6. The air compressor production quality monitoring system based on neural network according to claim 5 is characterized in that: The main control module specifically includes: A control unit, the control unit is used to obtain air compressor vibration matching information based on the vibration status of the functional structure according to the air compressor vibration information, obtain air compressor temperature matching information based on the temperature influence of the functional structure according to the air compressor temperature information, obtain air compressor operation matching data according to the air compressor vibration matching information and the air compressor temperature matching information, obtain the air compressor quality difference index according to the air compressor operation matching data, and adjust the air compressor production process according to the air compressor operation matching data; An information receiving unit, which interacts with the information acquisition module and the evaluation module to receive data and transmit it to the judgment unit; A judgment unit, wherein the judgment unit is used to judge whether the first structural feature angle meets the production standard according to the first structural feature angle influence index and the first structural feature angle influence index threshold, judge whether the second structural feature angle information and the third structural feature angle information meet the standard according to the air cooling influence coefficient and the compressed air storage information, and judge whether the air compressor quality meets the production standard according to the air compressor quality difference index.

7. The air compressor production quality monitoring system based on neural network according to claim 5 is characterized in that: The information acquisition module specifically includes: A first acquisition unit, the first acquisition unit is used to acquire air compressor function structure information, air intake structure information, compression structure information, cooling structure information and air storage structure information, and based on the air compressor quality standard, acquire air compressor parameter information, air intake pressure information, compressed air parameter information, air cooling parameter information and air storage parameter information; The second acquisition unit is used to acquire historical test data of the air compressor, acquire structural feature angle information according to functional structure information of the air compressor, perform working test on the air compressor, and acquire operating data of the air compressor.

8. The air compressor production quality monitoring system based on neural network according to claim 5 is characterized in that: The evaluation module specifically includes: A first evaluation unit, the first evaluation unit is used to obtain an air compression influence coefficient based on historical test data of the air compressor, and to obtain a first structural feature angle influence index based on intake pressure information and the air compression influence coefficient; The second evaluation unit is used to obtain the air cooling influence coefficient according to the compressed air temperature information, the second structural feature angle information and the air cooling parameter information, obtain the compressed air storage coefficient according to the compressed air storage information, and obtain the structural feature influence coefficient according to the air cooling influence coefficient and the compressed air storage coefficient.

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