Method for detecting and analyzing cleaning performance of cleaning agent based on image recognition processing

Abstract

The invention relates to the technical field of cleaning agent performance detection, in particular to a cleaning agent cleaning performance detection and analysis method based on image recognition processing, and aims to solve the problems that a traditional cleaning agent cleaning performance detection method is inaccurate in detection result, so that the cleaning performance of a cleaning agent is poor, and the cleaning effect is poor. The cleaning requirements of different application scenes are difficult to meet. According to the method, through multi-aspect data analysis evaluation and intelligent selection of the cleaning equipment, the cleaning equipment in an excellent state can be accurately matched, the interference of the cleaning equipment on cleaning performance detection analysis of the cleaning agent is avoided, the objectivity and accuracy of a result are improved, and through an image recognition technology, the cleaning performance of the cleaning agent can be accurately detected and analyzed. According to the invention, accurate extraction of related characteristics of the cleaning performance is realized, accurate evaluation and detection of the cleaning performance of the cleaning agent are realized, the detection precision is improved, objective and accurate evaluation of the cleaning performance of the cleaning agent is realized, and a scientific basis is provided for improvement and optimization of production and manufacturing of the cleaning agent.

Description

Technical Field

[0001] The present invention relates to the technical field of cleaning agent performance detection, and in particular to a cleaning agent cleaning performance detection and analysis method based on image recognition processing. Background Art

[0002] In modern industry and daily life, cleaning agents are widely used in various cleaning scenarios, such as industrial equipment cleaning, household cleaning, etc. However, different cleaning agents have different cleaning performances in different application scenarios. How to accurately and efficiently detect the cleaning performance of cleaning agents has become an important issue.

[0003] Traditional cleaning agent cleaning performance testing methods mainly rely on manual observation and subjective judgment. The cleaning effect often depends on the user's experience and trial and error. There is a lack of unified standards and intelligent selection methods. In addition, errors may occur due to the state of the cleaning equipment, resulting in inaccurate test results, which in turn leads to low-quality cleaning agent products and poor cleaning performance, making it difficult to meet the cleaning needs of different application scenarios. Therefore, developing a cleaning agent cleaning performance testing and analysis method based on image recognition processing is of great significance for improving product quality, shortening product launch cycles, and reducing production costs. Summary of the invention

[0004] In order to overcome the above-mentioned technical problems, the purpose of the present invention is to provide a cleaning performance detection and analysis method for detergents based on image recognition processing, which solves the problem that the detection results of traditional detergent cleaning performance detection methods are inaccurate, which in turn leads to poor cleaning performance of detergents and difficulty in meeting the cleaning needs of different application scenarios.

[0005] The purpose of the present invention can be achieved through the following technical solutions: A cleaning performance detection and analysis method for a cleaning agent based on image recognition processing comprises the following steps: Step 1: The cleaning equipment monitoring module obtains the cleaning equipment monitoring data of the monitoring equipment i, wherein the cleaning equipment monitoring data includes production and transportation information CY, pressure and flow information YL, and frequency and sound information PS, and sends the cleaning equipment monitoring data to the monitoring data processing module; Step 2: The monitoring data processing module obtains the cleaning equipment monitoring coefficient QSi according to the cleaning equipment monitoring data, and sends the cleaning equipment monitoring coefficient QSi to the processing result evaluation module; Step 3: The processing result evaluation module obtains the selected cleaning equipment according to the cleaning equipment monitoring coefficient QSi, and sends the selected cleaning equipment to the result display module; Step 4: The result display module will select the cleaning equipment for display; Step 5: The user places the monitoring sample o, the cleaning object and the clean water in different selected cleaning devices, and cleans the cleaning object. The cleaning effect monitoring module obtains the cleaning effect monitoring data of the monitoring sample o according to the cleaning process, wherein the cleaning effect monitoring data includes the surface change information MB and the color change information SB, and sends it to the monitoring data processing module; Step 6: The monitoring data processing module obtains the cleaning effect monitoring coefficient QXo according to the cleaning effect monitoring data, and sends the cleaning effect monitoring coefficient QXo to the processing result evaluation module; Step 7: The processing result evaluation module classifies the monitoring sample o into a product with poor effect or a product with good effect according to the cleaning effect monitoring coefficient QXo, and sends the product with poor effect or the product with good effect to the result display module; Step 8: The result display module displays products with poor results or products with good results.

[0006] As a further solution of the present invention: the specific process of the cleaning equipment monitoring module acquiring the cleaning equipment monitoring data is as follows: All cleaning equipment are marked as monitoring equipment i in sequence, i=1, ..., n, n is a positive integer, i is the number of any monitoring equipment, and n is the total number of monitoring equipment; Get the production time and current time of monitoring device i, obtain the time difference between the two, and mark it as the production value SC, obtain the total operating time of monitoring device i since the production time, and mark it as the operating value YX, quantify the production value SC and the operating value YX, extract the values ​​of the production value SC and the operating value YX, and substitute them into the formula for calculation. Obtain production and transportation information CY; wherein a1 and a2 are preset proportional coefficients corresponding to the set production value SC and operation value YX respectively, a1 and a2 satisfy a1+a2=1, 0<a1<a2<1, and a1=0.39 and a2=0.61; Obtain the average operating voltage and rated voltage of the monitoring device i during its most recent operation, obtain the difference between the two, and mark it as the voltage value DY; obtain the real-time current of the monitoring device i during its most recent operation, obtain the maximum real-time current and the minimum real-time current, obtain the difference between the two, and mark it as the current value DL; quantify the voltage value DY and the current value DL, extract the values ​​of the voltage value DY and the current value DL, and substitute them into the formula for calculation; according to the formula The voltage-current information YL is obtained; wherein π and e are mathematical constants, b1 and b2 are preset proportional coefficients corresponding to the set voltage value DY and current value DL, respectively, b1 and b2 satisfy b1+b2=1, 0<b2<b1<1, and b1=0.58 and b2=0.42; Get the average vibration frequency of the most recent operation process and the first operation process of the monitoring device i, get the difference between the two, and mark it as the frequency value PL, get the average sound intensity of the most recent operation process and the first operation process of the monitoring device i, get the difference between the two, and mark it as the sound value SY, quantize the frequency value PL and the sound value SY, extract the numerical values ​​of the frequency value PL and the sound value SY, and substitute them into the formula for calculation. According to the formula Obtain frequency sound information PS; wherein c1 and c2 are preset proportional coefficients corresponding to the set frequency value PL and sound value SY, respectively, c1 and c2 satisfy c1+c2=1, 0<c2<c1<1, and c1=0.55 and c2=0.45; The production and transportation information CY, pressure and flow information YL and frequency and sound information PS are sent to the monitoring data processing module.

[0007] As a further solution of the present invention: the specific process of the monitoring data processing module obtaining the cleaning equipment monitoring coefficient QSi is as follows: Normalize the production and transportation information CY, pressure and flow information YL, and frequency and sound information PS, and quantify the values ​​of the production and transportation information CY, pressure and flow information YL, and frequency and sound information PS according to the preset cleaning equipment monitoring model to obtain the cleaning equipment monitoring coefficient QSi; Among them, the cleaning equipment monitoring model is as follows: Where: η is the preset error adjustment factor, taking η=0.926; λ1, λ2 and λ3 are respectively the preset weight factors corresponding to the set production and transportation information CY, pressure and flow information YL and frequency and sound information PS. λ1, λ2 and λ3 satisfy λ2>λ3>λ1>1.526, and λ1=1.73, λ2=2.61, λ3=2.09; The cleaning equipment monitoring coefficient QSi is sent to the processing result evaluation module.

[0008] As a further solution of the present invention: the specific process of the processing result evaluation module obtaining the selected cleaning equipment is as follows: Sort all monitoring devices i in ascending order according to the cleaning device monitoring coefficient QSi, select monitoring device i from front to back according to the number of cleaning agent samples, and mark the selected monitoring device i as the selected cleaning device; The selected cleaning equipment is sent to the result display module.

[0009] As a further solution of the present invention: the specific process of the cleaning effect monitoring module obtaining the cleaning effect monitoring data is as follows: All cleaning agent samples are marked as monitoring samples o, o=1, ..., v, v is a positive integer, o is the number of any monitoring sample, and v is the total number of monitoring samples; The monitoring sample o, cleaning objects and clean water are placed in different selected cleaning devices respectively, and the selected cleaning devices are started to clean the cleaning objects; wherein the monitoring sample o added in the different selected cleaning devices has the same quality; the cleaning objects added in the different selected cleaning devices have the same type and quantity, and the cleaning objects include objects made of metal, plastic and glass, and the surfaces of the objects have the same type of dirt, and the location and degree of contamination of the dirt are roughly the same; the clean water added in the different selected cleaning devices has the same quality; the operating parameters of the selected cleaning devices are the same, and the operating parameters include cleaning time and cleaning temperature; Obtain the photos of the cleaning object before and after cleaning corresponding to the monitoring sample o, and mark them as the first identification image and the second identification image respectively, take the original color of the cleaning object as the background color, and take the colors other than the background color as the enhanced color, obtain the area of ​​the background color region in the first identification image and the second identification image, obtain the difference between the two, and mark it as the background change value DB, obtain the area of ​​the enhanced color region in the first identification image and the second identification image, obtain the difference between the two, and mark it as the enhanced change value ZB, quantify the background change value DB and the enhanced change value ZB, extract the values ​​of the background change value DB and the enhanced change value ZB, and substitute them into the formula for calculation, according to the formula Obtain the surface change information MB; wherein d1 and d2 are the preset proportional coefficients corresponding to the set base change value DB and the increase change value ZB, respectively, d1 and d2 satisfy d1+d2=1, 0<d1<d2<1, and d1=0.22, d2=0.78; Obtain the photos before and after washing of the clean water corresponding to the monitoring sample o, and mark them as the third identification image and the fourth identification image respectively, obtain the chromaticity of the third identification image and the fourth identification image, obtain the difference between the two, and mark it as color change information SB; The surface change information MB and color change information SB are sent to the monitoring data processing module.

[0010] As a further solution of the present invention: the specific process of the monitoring data processing module obtaining the cleaning effect monitoring coefficient QXo is as follows: The surface change information MB and the color change information SB are normalized, and the values ​​of the surface change information MB and the color change information SB are quantified according to a preset cleaning effect monitoring model to obtain a cleaning effect monitoring coefficient QXo; Among them, the cleaning effect monitoring model is as follows: Where: κ is the preset error adjustment factor, taking κ=1.139; e and π are both mathematical constants; δ1 and δ2 are preset weight factors corresponding to the set face change information MB and color change information SB, respectively. δ1 and δ2 satisfy δ1>δ2>2.354, and δ1=3.91 and δ2=2.65 are taken; The cleaning effect monitoring coefficient QXo is sent to the processing result evaluation module.

[0011] As a further solution of the present invention: the specific process of the processing result evaluation module classifying the monitored sample o is as follows: The cleaning effect monitoring coefficient QXo is compared with the preset cleaning effect comparison threshold QXy, and the comparison results are as follows: If the cleaning effect monitoring coefficient QXo≤cleaning effect comparison threshold QXy, the monitoring sample o corresponding to the cleaning effect monitoring coefficient QXo is marked as a poor effect product, and the poor effect product is sent to the result display module; If the cleaning effect monitoring coefficient QXo>cleaning effect comparison threshold QXy, the monitoring sample o corresponding to the cleaning effect monitoring coefficient QXo is marked as a product with excellent effect, and the product with excellent effect is sent to the result display module.

[0012] As a further solution of the present invention: the specific process of the result display module for display is as follows: The cleaning equipment will be selected for display; Display products with poor performance; All products with excellent effects are sorted and displayed in descending order according to the cleaning effect monitoring coefficient QXo.

[0013] Beneficial effects of the present invention: The cleaning performance detection and analysis method of a cleaning agent based on image recognition processing of the present invention first collects data on a cleaning device to obtain cleaning device monitoring data, and uses data analysis technology to obtain a cleaning device monitoring coefficient based on the cleaning device monitoring data to comprehensively measure the abnormality of the cleaning device, and the larger the cleaning device monitoring coefficient is, the higher the abnormality is, and finally the cleaning device with a low abnormality is selected to participate in the cleaning performance detection and analysis of the cleaning agent, and then image recognition processing is performed on the cleaning effect of the cleaning agent sample to obtain cleaning effect monitoring data, and the cleaning effect monitoring coefficient obtained based on the cleaning effect monitoring data is based on the data analysis technology to comprehensively measure the cleaning degree of the cleaning agent sample, and the larger the cleaning effect monitoring data is, the better the cleaning degree is, thereby realizing the cleaning performance detection, analysis and evaluation of the cleaning agent; The cleaning performance detection and analysis method of a cleaning agent based on image recognition processing of the present invention can accurately match cleaning equipment in excellent condition through multi-faceted data analysis, evaluation and intelligent selection of cleaning equipment, avoid the interference of cleaning equipment on the cleaning performance detection and analysis of the cleaning agent, improve the objectivity and accuracy of the result, and through image recognition technology, realize the accurate extraction of cleaning performance-related features, realize accurate evaluation and detection of the cleaning performance of the cleaning agent, improve the detection accuracy, realize objective and accurate evaluation of the cleaning performance of the cleaning agent, and can establish a complete cleaning performance evaluation index system based on this, provide a scientific basis for the production and manufacturing improvement and optimization of the cleaning agent, reduce unnecessary waste of resources, comply with the concept of green manufacturing, and have broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The present invention will be further described below in conjunction with the accompanying drawings.

[0015] Figure 1 It is a flow chart of a cleaning performance detection and analysis method of a cleaning agent based on image recognition processing in the present invention; Figure 2 It is a principle block diagram of a cleaning agent cleaning performance detection and analysis method based on image recognition processing in the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Example 1: Please refer to Figure 1 As shown, this embodiment is a cleaning performance detection and analysis method of a cleaning agent based on image recognition processing, comprising the following steps: Step 1: The cleaning equipment monitoring module obtains the cleaning equipment monitoring data of the monitoring equipment i, wherein the cleaning equipment monitoring data includes production and transportation information CY, pressure and flow information YL, and frequency and sound information PS, and sends the cleaning equipment monitoring data to the monitoring data processing module; Step 2: The monitoring data processing module obtains the cleaning equipment monitoring coefficient QSi according to the cleaning equipment monitoring data, and sends the cleaning equipment monitoring coefficient QSi to the processing result evaluation module; Step 3: The processing result evaluation module obtains the selected cleaning equipment according to the cleaning equipment monitoring coefficient QSi, and sends the selected cleaning equipment to the result display module; Step 4: The result display module will select the cleaning equipment for display; Step 5: The user places the monitoring sample o, the cleaning object and the clean water in different selected cleaning devices, and cleans the cleaning object. The cleaning effect monitoring module obtains the cleaning effect monitoring data of the monitoring sample o according to the cleaning process, wherein the cleaning effect monitoring data includes the surface change information MB and the color change information SB, and sends it to the monitoring data processing module; Step 6: The monitoring data processing module obtains the cleaning effect monitoring coefficient QXo according to the cleaning effect monitoring data, and sends the cleaning effect monitoring coefficient QXo to the processing result evaluation module; Step 7: The processing result evaluation module classifies the monitoring sample o into a product with poor effect or a product with good effect according to the cleaning effect monitoring coefficient QXo, and sends the product with poor effect or the product with good effect to the result display module; Step 8: The result display module displays products with poor results or products with good results.

[0018] Example 2: Please refer to Figure 2 As shown, this embodiment is a cleaning performance detection and analysis method of a detergent based on image recognition processing, involving the following modules; The cleaning equipment monitoring module is used to obtain the cleaning equipment monitoring data of the monitoring equipment i and send the cleaning equipment monitoring data to the monitoring data processing module; wherein the cleaning equipment monitoring data includes production and transportation information CY, pressure and flow information YL and frequency and sound information PS; A monitoring data processing module is used to obtain a cleaning equipment monitoring coefficient QSi according to the cleaning equipment monitoring data, and send the cleaning equipment monitoring coefficient QSi to the processing result evaluation module; it is also used to obtain a cleaning effect monitoring coefficient QXo according to the cleaning effect monitoring data, and send the cleaning effect monitoring coefficient QXo to the processing result evaluation module; The processing result evaluation module is used to obtain the selected cleaning equipment according to the cleaning equipment monitoring coefficient QSi, and send the selected cleaning equipment to the result display module; it is also used to classify the monitoring sample o into a poor effect product or a good effect product according to the cleaning effect monitoring coefficient QXo, and send the poor effect product or the good effect product to the result display module; The result display module is used to display the selected cleaning equipment; it is also used to display products with poor results or products with good results; The cleaning effect monitoring module is used to place the monitoring sample o, cleaning items and clean water in different selected cleaning devices respectively, and clean the cleaning items, and obtain the cleaning effect monitoring data of the monitoring sample o according to the cleaning process, and send it to the monitoring data processing module; wherein the cleaning effect monitoring data includes surface change information MB and color change information SB.

[0019] Embodiment 3: Based on any of the above embodiments, Embodiment 3 of the present invention is a cleaning equipment monitoring module. The function of the cleaning equipment monitoring module is to obtain cleaning equipment monitoring data, wherein the cleaning equipment monitoring data includes production and transportation information CY, pressure flow information YL and frequency sound information PS. The specific process is as follows: The cleaning equipment monitoring module marks all cleaning equipment as monitoring equipment i in sequence, where i=1, ..., n, where n is a positive integer, i is the number of any monitoring equipment, and n is the total number of monitoring equipment; The cleaning equipment monitoring module obtains the production time and current time of the monitoring equipment i, obtains the time difference between the two, and marks it as the production value SC, obtains the total operating time of the monitoring equipment i since the production time, and marks it as the operating value YX, quantifies the production value SC and the operating value YX, extracts the values ​​of the production value SC and the operating value YX, and substitutes them into the formula for calculation. Obtain production and transportation information CY; wherein a1 and a2 are preset proportional coefficients corresponding to the set production value SC and operation value YX respectively, a1 and a2 satisfy a1+a2=1, 0<a1<a2<1, and a1=0.39 and a2=0.61; The cleaning equipment monitoring module obtains the average operating voltage and rated voltage of the monitoring device i during its most recent operation, obtains the difference between the two, and marks it as the voltage value DY, obtains the real-time current of the monitoring device i during its most recent operation, obtains the maximum real-time current and the minimum real-time current, obtains the difference between the two, and marks it as the current value DL, quantifies the voltage value DY and the current value DL, extracts the values ​​of the voltage value DY and the current value DL, and substitutes them into the formula for calculation. According to the formula The voltage-current information YL is obtained; wherein π and e are mathematical constants, b1 and b2 are preset proportional coefficients corresponding to the set voltage value DY and current value DL, respectively, b1 and b2 satisfy b1+b2=1, 0<b2<b1<1, and b1=0.58 and b2=0.42; The cleaning equipment monitoring module obtains the average vibration frequency of the monitoring equipment i during the most recent operation and the first operation, obtains the difference between the two, and marks it as the frequency value PL, obtains the average sound intensity of the monitoring equipment i during the most recent operation and the first operation, obtains the difference between the two, and marks it as the sound value SY, quantifies the frequency value PL and the sound value SY, extracts the numerical values ​​of the frequency value PL and the sound value SY, and substitutes them into the formula for calculation. Obtain frequency sound information PS; wherein c1 and c2 are preset proportional coefficients corresponding to the set frequency value PL and sound value SY, respectively, c1 and c2 satisfy c1+c2=1, 0<c2<c1<1, and c1=0.55 and c2=0.45; The cleaning equipment monitoring module sends the production and transportation information CY, pressure and flow information YL and frequency and sound information PS to the monitoring data processing module.

[0020] Embodiment 4: Based on any of the above embodiments, Embodiment 4 of the present invention is a monitoring data processing module, and the monitoring data processing module has two functions; One of the functions is to obtain the cleaning equipment monitoring coefficient QSi. The specific process is as follows: The monitoring data processing module normalizes the production and transportation information CY, the pressure and flow information YL, and the frequency and sound information PS, and quantifies the values ​​of the production and transportation information CY, the pressure and flow information YL, and the frequency and sound information PS according to the preset cleaning equipment monitoring model to obtain the cleaning equipment monitoring coefficient QSi; Among them, the cleaning equipment monitoring model is as follows: Where: η is the preset error adjustment factor, taking η=0.926; λ1, λ2 and λ3 are respectively the preset weight factors corresponding to the set production and transportation information CY, pressure and flow information YL and frequency and sound information PS. λ1, λ2 and λ3 satisfy λ2>λ3>λ1>1.526, and λ1=1.73, λ2=2.61, λ3=2.09; The monitoring data processing module sends the cleaning equipment monitoring coefficient QSi to the processing result evaluation module; The second function is to obtain the cleaning effect monitoring coefficient QXo. The specific process is as follows: The monitoring data processing module normalizes the surface change information MB and the color change information SB, and quantifies the values ​​of the surface change information MB and the color change information SB according to the preset cleaning effect monitoring model to obtain the cleaning effect monitoring coefficient QXo; Among them, the cleaning effect monitoring model is as follows: Where: κ is the preset error adjustment factor, taking κ=1.139; e and π are both mathematical constants; δ1 and δ2 are preset weight factors corresponding to the set face change information MB and color change information SB, respectively. δ1 and δ2 satisfy δ1>δ2>2.354, and δ1=3.91 and δ2=2.65 are taken; The monitoring data processing module sends the cleaning effect monitoring coefficient QXo to the processing result evaluation module.

[0021] Embodiment 5: Based on any of the above embodiments, Embodiment 5 of the present invention is a processing result evaluation module, which has two functions: One of the functions is to obtain the selected cleaning equipment. The specific process is as follows: The processing result evaluation module sorts all monitoring devices i according to the cleaning device monitoring coefficient QSi in ascending order, selects monitoring device i from front to back according to the number of cleaning agent samples, and marks the selected monitoring device i as the selected cleaning device; The processing result evaluation module sends the selected cleaning equipment to the result display module; The second function is to classify the monitoring samples o. The specific process is as follows: The processing result evaluation module compares the cleaning effect monitoring coefficient QXo with the preset cleaning effect comparison threshold QXy. The comparison results are as follows: If the cleaning effect monitoring coefficient QXo≤cleaning effect comparison threshold QXy, the monitoring sample o corresponding to the cleaning effect monitoring coefficient QXo is marked as a poor effect product, and the poor effect product is sent to the result display module; If the cleaning effect monitoring coefficient QXo>cleaning effect comparison threshold QXy, the monitoring sample o corresponding to the cleaning effect monitoring coefficient QXo is marked as a product with excellent effect, and the product with excellent effect is sent to the result display module.

[0022] Embodiment 6: Based on any of the above embodiments, Embodiment 6 of the present invention is a result display module, which has two functions: One of the functions is to display the selected cleaning equipment; The second function is to display products with poor or excellent results. The specific process is as follows: Display products with poor performance; All products with excellent effects are sorted and displayed in descending order according to the cleaning effect monitoring coefficient QXo.

[0023] Embodiment 7: Based on any of the above embodiments, Embodiment 7 of the present invention is a cleaning effect monitoring module. The function of the cleaning effect monitoring module is to obtain cleaning effect monitoring data, wherein the cleaning effect monitoring data includes surface change information MB and color change information SB. The specific process is as follows: The cleaning effect monitoring module marks all cleaning agent samples as monitoring samples o in sequence, where o=1, ..., v, where v is a positive integer, o is the number of any monitoring sample, and v is the total number of monitoring samples; The user places the monitoring sample o, the cleaning objects and the clean water in different selected cleaning devices respectively, and starts the selected cleaning devices to clean the cleaning objects; wherein the monitoring sample o added in the different selected cleaning devices has the same quality; the cleaning objects added in the different selected cleaning devices have the same type and quantity, and the cleaning objects include objects made of metal, plastic and glass, and the surfaces of the objects have the same type of dirt, and the location and degree of contamination of the dirt are roughly the same; the clean water added in the different selected cleaning devices has the same quality; the operating parameters of the selected cleaning devices are the same, and the operating parameters include cleaning time and cleaning temperature; The cleaning effect monitoring module obtains the photos before and after cleaning of the cleaning object corresponding to the monitoring sample o, and marks them as the first recognition image and the second recognition image respectively, takes the original color of the cleaning object as the background color, and takes the colors other than the background color as the enhanced color, obtains the area of ​​the background color region in the first recognition image and the second recognition image, obtains the difference between the two, and marks it as the background change value DB, obtains the area of ​​the enhanced color region in the first recognition image and the second recognition image, obtains the difference between the two, and marks it as the enhanced change value ZB, quantifies the background change value DB and the enhanced change value ZB, extracts the values ​​of the background change value DB and the enhanced change value ZB, and substitutes them into the formula for calculation. According to the formula Obtain the surface change information MB; wherein d1 and d2 are the preset proportional coefficients corresponding to the set base change value DB and the increase change value ZB, respectively, d1 and d2 satisfy d1+d2=1, 0<d1<d2<1, and d1=0.22, d2=0.78; The cleaning effect monitoring module obtains the photos before and after cleaning of the clean water corresponding to the monitoring sample o, and marks them as the third recognition image and the fourth recognition image respectively, obtains the chromaticity of the third recognition image and the fourth recognition image, obtains the difference between the two, and marks it as the color change information SB; The cleaning effect monitoring module sends the surface change information MB and the color change information SB to the monitoring data processing module.

[0024] Based on the above embodiments 1-7, the working principle of the present invention is as follows: The present invention discloses a cleaning agent cleaning performance detection and analysis method based on image recognition processing, wherein the cleaning equipment monitoring data of the monitoring equipment is obtained through a cleaning equipment monitoring module, the cleaning equipment monitoring coefficient is obtained according to the cleaning equipment monitoring data through a monitoring data processing module, the selected cleaning equipment is obtained according to the cleaning equipment monitoring coefficient through a processing result evaluation module, the selected cleaning equipment is displayed through a result display module, the user places the monitoring sample, the cleaning object and the clean water in different selected cleaning equipment respectively, and cleans the cleaning object, the cleaning effect monitoring data of the monitoring sample is obtained according to the cleaning process through a cleaning effect monitoring module, the cleaning effect monitoring coefficient is obtained according to the cleaning effect monitoring data through a monitoring data processing module, the monitoring sample is classified into a poor effect product or a good effect product according to the cleaning effect monitoring coefficient through a processing result evaluation module, and the poor effect product or the good effect product is displayed through a result display module; the method firstly collects data on the cleaning equipment to obtain the cleaning equipment monitoring data, and uses the data analysis technology to obtain the cleaning equipment monitoring coefficient according to the cleaning equipment monitoring data, which can comprehensively measure the abnormality of the cleaning equipment, and the cleaning equipment monitoring The larger the measurement coefficient, the higher the degree of abnormality. Finally, the cleaning equipment with a low degree of abnormality is selected to participate in the cleaning performance detection and analysis of the cleaning agent. After that, the cleaning effect of the cleaning agent sample is processed by image recognition to obtain the cleaning effect monitoring data. The cleaning effect monitoring coefficient obtained according to the cleaning effect monitoring data using data analysis technology can comprehensively measure the cleaning degree of the cleaning agent sample, and the larger the cleaning effect monitoring data, the better the cleaning degree, thereby realizing the cleaning performance detection, analysis and evaluation of the cleaning agent. This method can accurately match the cleaning equipment in good condition through multi-faceted data analysis, evaluation and intelligent selection of cleaning equipment, avoid the interference of the cleaning equipment on the cleaning performance detection and analysis of the cleaning agent, improve the objectivity and accuracy of the results, and realize the accurate extraction of cleaning performance related features through image recognition technology, realize the accurate evaluation and detection of the cleaning performance of the cleaning agent, improve the detection accuracy, realize the objective and accurate evaluation of the cleaning performance of the cleaning agent, and can establish a complete cleaning performance evaluation index system based on this, which provides a scientific basis for the production and manufacturing improvement and optimization of the cleaning agent, reduces unnecessary waste of resources, conforms to the concept of green manufacturing, and has broad application prospects.

[0025] It should be further explained that the above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technical personnel in this field according to actual conditions.

[0026] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0027] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

Claims

1. A cleaning performance detection and analysis method for a cleaning agent based on image recognition processing, characterized in that: The following steps are involved: Step 1: The cleaning equipment monitoring module obtains the cleaning equipment monitoring data of the monitoring equipment i, wherein the cleaning equipment monitoring data includes production and transportation information CY, pressure and flow information YL, and frequency and sound information PS, and sends the cleaning equipment monitoring data to the monitoring data processing module; Step 2: The monitoring data processing module obtains the cleaning equipment monitoring coefficient QSi according to the cleaning equipment monitoring data, and sends the cleaning equipment monitoring coefficient QSi to the processing result evaluation module; Step 3: The processing result evaluation module obtains the selected cleaning equipment according to the cleaning equipment monitoring coefficient QSi, and sends the selected cleaning equipment to the result display module; Step 4: The result display module will select the cleaning equipment for display; Step 5: The user places the monitoring sample o, the cleaning object and the clean water in different selected cleaning devices, and cleans the cleaning object. The cleaning effect monitoring module obtains the cleaning effect monitoring data of the monitoring sample o according to the cleaning process, wherein the cleaning effect monitoring data includes the surface change information MB and the color change information SB, and sends it to the monitoring data processing module; Step 6: The monitoring data processing module obtains the cleaning effect monitoring coefficient QXo according to the cleaning effect monitoring data, and sends the cleaning effect monitoring coefficient QXo to the processing result evaluation module; Step 7: The processing result evaluation module classifies the monitoring sample o into a product with poor effect or a product with good effect according to the cleaning effect monitoring coefficient QXo, and sends the product with poor effect or the product with good effect to the result display module; Step 8: The result display module displays products with poor results or products with good results.

2. A cleaning agent cleaning performance detection and analysis method based on image recognition processing according to claim 1, characterized in that: The specific process of the cleaning equipment monitoring module obtaining the cleaning equipment monitoring data is as follows: All cleaning equipment are marked as monitoring equipment i in sequence, i=1, ..., n, n is a positive integer, i is the number of any monitoring equipment, and n is the total number of monitoring equipment; Get the production time and current time of monitoring device i, obtain the time difference between the two, and mark it as the production value SC, get the total operation time of monitoring device i since the production time, and mark it as the operation value YX, quantify the production value SC and the operation value YX, and obtain the production and operation information CY; The average operating voltage and rated voltage of the monitoring device i during the most recent operation are obtained, the difference between the two is obtained, and the difference is marked as the voltage value DY. The real-time current of the monitoring device i during the most recent operation is obtained, the maximum real-time current and the minimum real-time current are obtained, the difference between the two is obtained, and the difference is marked as the current value DL. The voltage value DY and the current value DL are quantified to obtain the voltage-current information YL. Obtain the average vibration frequency of the monitoring device i during the most recent operation and the first operation, obtain the difference between the two, and mark it as the frequency value PL; obtain the average sound intensity of the monitoring device i during the most recent operation and the first operation, obtain the difference between the two, and mark it as the sound value SY; quantize the frequency value PL and the sound value SY to obtain the frequency-sound information PS; The production and transportation information CY, pressure and flow information YL and frequency and sound information PS are sent to the monitoring data processing module.

3. The cleaning performance detection and analysis method of a cleaning agent based on image recognition processing according to claim 1 is characterized in that: The specific process of the monitoring data processing module obtaining the cleaning equipment monitoring coefficient QSi is as follows: Normalize the production and transportation information CY, pressure and flow information YL, and frequency and sound information PS, and quantify the values ​​of the production and transportation information CY, pressure and flow information YL, and frequency and sound information PS according to the preset cleaning equipment monitoring model to obtain the cleaning equipment monitoring coefficient QSi; The cleaning equipment monitoring coefficient QSi is sent to the processing result evaluation module.

4. The cleaning performance detection and analysis method of a cleaning agent based on image recognition processing according to claim 1, characterized in that: The specific process of the processing result evaluation module obtaining the selected cleaning equipment is as follows: Sort all monitoring devices i in ascending order according to the cleaning device monitoring coefficient QSi, select monitoring device i from front to back according to the number of cleaning agent samples, and mark the selected monitoring device i as the selected cleaning device; Send the selected cleaning equipment to the result display module.

5. The cleaning performance detection and analysis method of a cleaning agent based on image recognition processing according to claim 1, characterized in that: The specific process of the cleaning effect monitoring module obtaining the cleaning effect monitoring data is as follows: All cleaning agent samples are marked as monitoring samples o, o=1, ..., v, v is a positive integer, o is the number of any monitoring sample, and v is the total number of monitoring samples; Place the monitoring sample o, the cleaning items and clean water in different selected cleaning devices respectively, and start the selected cleaning devices to clean the cleaning items; Obtain the photos before and after cleaning of the cleaning object corresponding to the monitoring sample o, and mark them as the first recognition image and the second recognition image respectively, take the original color of the cleaning object as the background color, and take the colors other than the background color as the enhanced color, obtain the area of ​​the background color region in the first recognition image and the second recognition image, obtain the difference between the two, and mark it as the background change value DB, obtain the area of ​​the enhanced color region in the first recognition image and the second recognition image, obtain the difference between the two, and mark it as the enhanced change value ZB, quantize the background change value DB and the enhanced change value ZB, and obtain the surface change information MB; Obtain the photos before and after washing of the clean water corresponding to the monitoring sample o, and mark them as the third identification image and the fourth identification image respectively, obtain the chromaticity of the third identification image and the fourth identification image, obtain the difference between the two, and mark it as color change information SB; The surface change information MB and color change information SB are sent to the monitoring data processing module.

6. The cleaning performance detection and analysis method of a cleaning agent based on image recognition processing according to claim 1, characterized in that: The specific process of the monitoring data processing module obtaining the cleaning effect monitoring coefficient QXo is as follows: The surface change information MB and the color change information SB are normalized, and the values ​​of the surface change information MB and the color change information SB are quantified according to a preset cleaning effect monitoring model to obtain a cleaning effect monitoring coefficient QXo; The cleaning effect monitoring coefficient QXo is sent to the processing result evaluation module.

7. The cleaning performance detection and analysis method of a cleaning agent based on image recognition processing according to claim 1, characterized in that: The specific process of the processing result evaluation module classifying the monitoring sample o is as follows: The cleaning effect monitoring coefficient QXo is compared with the preset cleaning effect comparison threshold QXy, and the comparison results are as follows: If the cleaning effect monitoring coefficient QXo≤cleaning effect comparison threshold QXy, the monitoring sample o corresponding to the cleaning effect monitoring coefficient QXo is marked as a poor effect product, and the poor effect product is sent to the result display module; If the cleaning effect monitoring coefficient QXo>cleaning effect comparison threshold QXy, the monitoring sample o corresponding to the cleaning effect monitoring coefficient QXo is marked as a product with excellent effect, and the product with excellent effect is sent to the result display module.

8. The cleaning performance detection and analysis method of a cleaning agent based on image recognition processing according to claim 1, characterized in that: The specific process of displaying by the result display module is as follows: The cleaning equipment will be selected for display; Display products with poor performance; All products with excellent effects are sorted and displayed in descending order according to the cleaning effect monitoring coefficient QXo.

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