Liquid chemical cleaning product filling packaging quality on-line detection system

Abstract

The invention relates to the technical field of liquid chemical cleaning product filling and packaging quality online detection, and particularly discloses a liquid chemical cleaning product filling and packaging quality online detection system. The system comprises a canning alignment analysis module, a canning quantity accurate analysis module, a canning quality detection module, a packaging quality detection module, a database and a product stability test module. Whether the filling quality and the product packaging quality in the target production line have problems or not is judged, if the problems exist, feedback is carried out, meanwhile, the stability of all packaged products is analyzed in combination with product change information of the products under each simulation vibration frequency in the simulation transportation process, the quality and consistency of the whole batch of products are improved, and the production efficiency is improved. And meanwhile, the overall sealing performance of the product is improved, a production enterprise is helped to find the problems of damage, leakage and the like possibly occurring in the transportation process of the package in time, the risks are evaluated, and measures are taken in advance for prevention.

Description

Technical Field

[0001] The present invention relates to the technical field of online detection of filling and packaging quality of liquid chemical cleaning products, and in particular to an online detection system for filling and packaging quality of liquid chemical cleaning products. Background Art

[0002] Currently, the filling and packaging process of liquid chemical cleaning products often suffers from product quality issues such as insufficient filling volume, damaged packaging, and loose seals. Traditional manual inspection methods are inefficient and difficult to ensure accurate and timely inspections. Therefore, the development of an efficient and accurate online inspection system is particularly important.

[0003] For example, patent publication number CN103264780B discloses a method for filling liquid medicine in soft bag infusion products. This method uses a prepared soft bag as a packaging container, and is provided with a liquid cavity and a filling port. During filling, a filling head is inserted into the suctioned-open filling port, and a pair of clamps are used to clamp the side walls of the filling port from the front and back directions. The liquid medicine is then filled, and a pair of clamps are used to clamp the side walls of the liquid cavity together to isolate the liquid medicine from the filling port and the filling head. The filling head is then removed, and the filling port is heat-sealed to complete the liquid medicine filling. The method of the present invention prevents the liquid medicine from being contaminated by the filling port side walls during the filling process, and prevents the liquid medicine contaminated by the filling head from contaminating the filling port side walls. This effectively overcomes the problem of contamination of the filling port side walls when filling liquid medicine through the filling port, and ensures reliable heat sealing of the filling port.

[0004] The above existing technologies still have the following problems: 1. At the filling quality analysis level, only attention is paid to whether the filling weight of liquid chemical cleaning products is qualified, and the filling alignment of the filling nozzles in the production line is not analyzed. If the nozzle fails to accurately align with the product bottle mouth, it may cause liquid to splash out or flow into the outside of the product during the filling process, resulting in inaccurate filling weight and gradual accumulation of filling errors, which will ultimately affect the quality and consistency of the entire batch of products.

[0005] 2. In terms of packaging quality analysis, only the sealing of the product bottle cap is focused on, without paying attention to whether the position of the heat-sealing film at the product bottle mouth is qualified. If the position of the heat-sealing film is unqualified, there may be areas at the bottle mouth that are not effectively sealed. These areas become potential leakage points, affecting the overall sealing of the product.

[0006] 3. Currently, no simulated transportation experiments have been conducted on liquid chemical cleaning products. The changes in the liquid chemical cleaning products during transportation have not been used to reflect whether there are problems in the filling and packaging process. It is difficult to discover problems such as damage and leakage that may occur in the packaging during transportation. It is impossible to assess these risks and take preventive measures in advance, which reduces the stability and protection of the packaging. Summary of the Invention

[0007] In view of this, in order to solve the problems raised in the above background technology, an online detection system for the filling and packaging quality of liquid chemical cleaning products is proposed.

[0008] The objectives of the present invention can be achieved through the following technical solutions: The present invention provides an online detection system for the filling and packaging quality of liquid chemical cleaning products, including: a canning alignment analysis module, which is used to record the target liquid chemical cleaning product filling and packaging production line as the target production line, collect the bottom image of each filling nozzle in the target production line and the image of the product bottle mouth filled by each filling nozzle in each filling, and analyze the filling alignment accuracy of the target production line.

[0009] The canning quantity accuracy analysis module is used to collect the weight of each product in each filling, determine whether there is a problem with the canning quantity accuracy of each product in each filling, and if there is a problem, compensate the filling quantity of each product with abnormal canning quantity.

[0010] The filling quality detection module is used to determine whether there are any problems with the filling quality in the target production line, and provide feedback if there are any problems.

[0011] The packaging quality inspection module is used to collect the bottle mouth image, bottle mouth heat sealing film image, bottle cap contour area, number of scratches and scratch length of each scratch corresponding to each product in each packaging, to determine whether there are any problems with the product packaging quality in the target production line, and provide feedback if there are any problems.

[0012] The product stability test module is used to simulate the vibration conditions during product transportation, collect product change information of each packaged product under each simulated vibration frequency, and analyze the stability evaluation index of each packaged product. If the stability evaluation index of a packaged product is less than the set value, the packaged product will be marked and feedback will be provided.

[0013] The database is used to store the standard weight corresponding to a single product after filling, the filling flow rate set by the filling nozzle in the filling volume compensation area, the standard contour image of the product bottle cap, and the weight change value allowed during product transportation.

[0014] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention determines whether there is a problem with the filling quality in the target production line by analyzing the filling alignment accuracy of the target production line and the canning volume accuracy of the product, thereby avoiding the situation where the nozzle fails to accurately align with the product bottle mouth, resulting in liquid splashing out or flowing into the outside of the product during the filling process, causing inaccurate filling weight, and at the same time avoiding the gradual accumulation of filling errors, which ultimately affects the quality and consistency of the entire batch of products.

[0015] (2) The present invention calculates the packaging quality index of the product at the heat-sealing film level and the bottle cap level by combining the bottle mouth image, the bottle mouth heat-sealing film image, and the contour area, number of scratches, and scratch length of each scratch. This allows the present invention to determine whether there are any problems with the product packaging quality in the target production line, thereby avoiding the existence of an ineffectively sealed area at the bottle mouth due to unqualified heat-sealing film position, and improving the overall sealing of the product.

[0016] (3) The present invention simulates the vibration conditions during product transportation, collects product change information of each packaged product under each simulated vibration frequency, and analyzes the stability evaluation index of each packaged product, thereby helping manufacturers to promptly discover problems such as damage and leakage that may occur in the packaging during transportation, evaluate these risks, and take preventive measures in advance. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 This is a schematic diagram of the system module structure connection of the present invention.

[0019] Figure 2 Schematic diagram of product canning in the target production line of the present invention.

[0020] Description of the accompanying drawings: 1. Filling nozzle, 2. Product bottle mouth. DETAILED DESCRIPTION

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0022] See also Figure 1 As shown, the present invention provides an online detection system for the filling and packaging quality of liquid chemical cleaning products, including: a can alignment analysis module, a can quantity precision analysis module, a filling quality detection module, a packaging quality detection module, a database and a product stability testing module.

[0023] The canning alignment analysis module and the canning quantity precision analysis module are both connected to the filling quality detection module, and the canning quantity precision analysis module, the packaging quality detection module and the product stability testing module are all connected to the database.

[0024] See also Figure 2 As shown, the canning alignment analysis module is used to record the target liquid chemical cleaning product filling and packaging production line as the target production line, collect the bottom image of each filling nozzle in the target production line and the image of the product bottle mouth filled by each filling nozzle in each filling, and analyze the filling alignment accuracy of the target production line.

[0025] It should be noted that the bottom image of each filling nozzle in the target production line and the image of the product bottle mouth filled by each filling nozzle in each filling are all collected by a high-definition camera installed at the bottom of each filling nozzle.

[0026] In a specific embodiment of the present invention, the specific process of analyzing the filling alignment accuracy of the target production line is as follows: locating the center point position of each filling nozzle from the bottom image of each filling nozzle, mapping the center point position of each filling nozzle to the plane where the bottle mouth of the product filled by each filling nozzle in each filling is located, and obtaining the mapping point of each filling nozzle in each filling on the plane where the bottle mouth of the product filled by the corresponding filling nozzle is located.

[0027] The center point of the product bottle mouth is located from the image of the product bottle mouth filled by each filling nozzle in each filling. The horizontal distance between the mapping point of each filling nozzle on the plane where the product bottle mouth of the corresponding filling nozzle is located and the center point of the product bottle mouth is obtained, and recorded as the alignment distance deviation corresponding to each filling nozzle in each filling.

[0028] Calculate filling alignment accuracy for the target production line.

[0029] It should be noted that the specific process of calculating the filling alignment accuracy of the target production line is: comparing the alignment distance deviation corresponding to each filling nozzle in each filling with the set reference alignment distance deviation. If the alignment distance deviation corresponding to a filling nozzle in a certain filling is greater than or equal to the set reference alignment distance deviation, it indicates that the filling nozzle is an alignment abnormal nozzle, and the number of alignment abnormal nozzles in each filling is counted.

[0030] The maximum value is extracted from the alignment distance deviation corresponding to each filling nozzle in each filling.

[0031] The relative deviation value of the number of nozzles with abnormal alignment in each filling and the number of nozzles with abnormal alignment of the set reference is calculated, and the relative deviation value of the maximum value extracted from the alignment distance deviation and the alignment distance deviation of the set reference is calculated.

[0032] The relative deviation values ​​of the above two are summed up, and the average value calculated after each accumulation is used as the filling alignment accuracy of the target production line.

[0033] The canning quantity accuracy analysis module is used to collect the weight of each product in each filling, determine whether there is a problem with the canning quantity accuracy of each product in each filling, and if there is a problem, compensate the filling quantity of each product with abnormal canning quantity.

[0034] It should be noted that the weight of each product in each filling is collected by a weight sensor placed under the conveyor belt.

[0035] In a specific embodiment of the present invention, the specific process of determining whether there is a problem with the accuracy of the canned quantity of each product in each filling is: recording the actual weight of each product after each filling operation is completed.

[0036] Extract the preset standard weight corresponding to the filling completion of a single product from the database.

[0037] Calculate the absolute value of the difference between the actual weight and the preset standard weight, and calculate the relative deviation between the absolute deviation and the preset allowable weight deviation of the product. Use the relative deviation as an exponent to calculate the negative exponential power of the natural constant. The resulting value is the filling volume accuracy of the product in this filling.

[0038] Compare the canning volume accuracy of the product with the set reference canning volume accuracy. If the canning volume accuracy of a certain time is greater than or equal to the set canning volume accuracy, it is determined that the filling volume accuracy of the product in this filling meets the requirements. Otherwise, it is determined that the filling volume accuracy of the product in this filling does not meet the requirements.

[0039] In a specific embodiment of the present invention, the specific process of performing filling volume compensation for each product with abnormal filling volume is: extracting the filling flow rate set by the filling nozzle in the filling volume compensation area from the database.

[0040] Extract the weight of each can of product with abnormal filling quantity.

[0041] For each abnormal product, the difference between its actual weight and the preset standard weight is calculated, and the difference is used as the required compensatory filling amount for the corresponding abnormal product.

[0042] The ratio of the filling volume required to be replenished for each abnormal product to the preset flow rate of the filling nozzle is used as the filling time required to be set for the filling nozzle corresponding to the product with abnormal filling volume.

[0043] The filling quality detection module is used to determine whether there is a problem with the filling quality in the target production line, and provide feedback if there is a problem.

[0044] In a specific embodiment of the present invention, the specific process of determining whether there is a problem with the filling quality in the target production line is: based on the filling alignment accuracy and the filling quantity accuracy, and using a multi-parameter weighted algorithm to calculate the filling quality evaluation index in the target production line.

[0045] The filling quality assessment index in the target production line is compared with the filling quality assessment index of the set reference. If the filling quality assessment index in the target production line is greater than or equal to the filling quality assessment index of the set reference, it indicates that there is no problem with the filling quality in the target production line. Otherwise, it indicates that there is a problem with the filling quality in the target production line.

[0046] In this embodiment, the multi-parameter weighted algorithm for calculating the filling quality evaluation index in the target production line may adopt linear weighting, wherein the set filling alignment accuracy and canning quantity accuracy correspond to the filling quality evaluation proportion weight.

[0047] In a specific embodiment of the present invention, the weight of filling alignment accuracy in the filling quality assessment is set to 0.5, and the weight of filling volume accuracy in the filling quality assessment is set to 0.5. Both filling alignment accuracy and filling volume accuracy play an important role in filling quality assessment, and the specific importance of each depends on multiple factors, including product characteristics, industry standards, and production requirements. In actual production, these factors should be comprehensively considered to formulate scientific and reasonable filling quality assessment standards and control measures.

[0048] The filling quality assessment index in the target production line is compared with the filling quality assessment index of the set reference. If the filling quality assessment index in the target production line is greater than or equal to the filling quality assessment index of the set reference, it indicates that there is no problem with the filling quality in the target production line. Otherwise, it indicates that there is a problem with the filling quality in the target production line.

[0049] The embodiment of the present invention analyzes the filling alignment accuracy of the target production line and the canning volume accuracy of the product to determine whether there are problems with the filling quality in the target production line. This avoids the situation where the nozzle fails to accurately align with the product bottle mouth, resulting in liquid splashing out or flowing into the outside of the product during the filling process, causing inaccurate filling weight. At the same time, it avoids the gradual accumulation of filling errors, which ultimately affects the quality and consistency of the entire batch of products.

[0050] The packaging quality inspection module is used to collect the bottle mouth image, bottle mouth heat sealing film image, bottle cap contour area, number of scratches and scratch length of each scratch corresponding to each product in each packaging, to determine whether there are any problems with the product packaging quality in the target production line, and provide feedback if there are any problems.

[0051] It should be noted that the bottle mouth images and bottle mouth heat-sealing film images corresponding to each product in each sub-packaging are all acquired through the installed high-definition camera.

[0052] It should also be noted that the contour area of ​​the bottle cap corresponding to each product is collected by a high-definition camera to obtain a bottle cap image, and the contour area is located from the bottle cap image. The number of scratches and the length of each scratch are obtained by importing the collected bottle cap image into a specific automatic visual inspection system, and the scratches are detected and their lengths are measured by the specific automatic visual inspection system.

[0053] In a specific embodiment of the present invention, the specific process of determining whether there is a problem with the product packaging quality in the target production line is as follows: based on the bottle mouth image and bottle mouth heat sealing film image corresponding to each product in each packaging, the packaging quality index of the product at the heat sealing film level is calculated. .

[0054] In a specific embodiment of the present invention, the specific process of calculating the packaging quality index of the product at the heat-sealing film level is as follows: locate the center point of the product bottle mouth from the bottle mouth image corresponding to each product in each sub-packaging, take the center point of the product bottle mouth as the origin, and use the horizontal direction as the Axis, vertical direction Axis, establish a two-dimensional rectangular coordinate system for each product in each package.

[0055] Extract the coordinate value of the center point of each product in each sub-package from the two-dimensional rectangular coordinate system of each product in each sub-package and record it as ,in, Indicates the number of each package, .

[0056] Extract the coordinate value of the center point of the heat-sealing film of each product in each package from the two-dimensional rectangular coordinate system and record it as .

[0057] Calculate the packaging quality index of the product at the heat sealing film level , ,in, and Respectively indicate setting permissions Axis and The center point position offset value corresponding to the axis, Indicates the number of packaging times.

[0058] The packaging quality index of the product at the bottle cap level is calculated based on the contour area, number of scratches, and scratch length of each scratch of the bottle cap corresponding to each product in each sub-packaging.

[0059] In a specific embodiment of the present invention, the specific process of calculating the packaging quality index of the product at the bottle cap level is: extracting the standard contour image of the product bottle cap from the database, and calculating the deformation degree of the bottle cap corresponding to each product in each sub-packaging based on the contour area of ​​the bottle cap corresponding to each product in each sub-packaging.

[0060] It should be noted that the specific process of calculating the deformation degree of the bottle cap corresponding to each product in each sub-packaging is: locating the standard contour area of ​​the product bottle cap from the standard contour image of the product bottle cap.

[0061] The outline area of ​​the bottle cap corresponding to each product in each sub-packaging is overlapped and compared with the standard outline area of ​​the product bottle cap to obtain the overlapping outline area of ​​the bottle cap corresponding to each product in each sub-packaging.

[0062] The relative deviation value of the ratio of the overlapping contour area of ​​the bottle cap corresponding to each product in each sub-packaging to the standard contour area of ​​the product bottle cap and the set reference bottle cap overlapping contour area ratio is taken as the deformation degree of the bottle cap corresponding to each product in each sub-packaging.

[0063] The scratch degree of the bottle cap corresponding to each product in each sub-packaging is calculated according to the number of scratches on the bottle cap corresponding to each product in each sub-packaging and the scratch length of each scratch.

[0064] It should be noted that the specific process of calculating the scratch degree of the bottle cap corresponding to each product in each sub-packaging is: calculating the relative deviation value between the number of scratches on the bottle cap corresponding to each product in each sub-packaging and the set reference number of scratches.

[0065] The scratch lengths of each scratch on the bottle cap corresponding to each product in each sub-packaging are accumulated to obtain the total scratch length corresponding to each product in each sub-packaging, and the relative deviation between the total scratch length and the set reference total scratch length is calculated.

[0066] The sum of the relative deviation values ​​of the above two weeks is taken as the bottle cap scratch degree corresponding to each product in each packaging.

[0067] Based on the bottle cap deformation degree and the bottle cap scratch degree, a multi-parameter weighted algorithm is used to calculate the packaging quality index of each product in each packaging at the bottle cap level, wherein the multi-parameter weighted algorithm can adopt linear weighting.

[0068] In a specific embodiment of the present invention, the set value of the bottle cap deformation corresponding to the weight of the packaging quality assessment at the bottle cap level is 0.6, and the set value of the bottle cap scratch degree corresponding to the weight of the packaging quality assessment at the bottle cap level is 0.4. When calculating the packaging quality index of each product at the bottle cap level in each package, the bottle cap deformation and the bottle cap scratch degree are both important considerations. The bottle cap deformation directly affects the sealing performance of the bottle cap, and the scratch degree is directly related to the appearance quality of the bottle cap. Although the scratch degree does not necessarily directly affect the sealing performance of the bottle cap, severe scratches may cause the bottle cap to be damaged or difficult to open during use, thereby affecting safety of use.

[0069] The packaging quality index of each product at the bottle cap level in each packaging is calculated by quadratic mean to obtain the packaging quality index of the product at the bottle cap level. .

[0070] Calculate the product packaging quality evaluation index in the target production line .

[0071] It should be noted that the formula for calculating the product packaging quality evaluation index in the target production line is: ,in, and Respectively represent the weight of the packaging quality index of the heat-sealing film level and the bottle cap level corresponding to the product packaging quality assessment. .

[0072] In a specific embodiment of the present invention, The setting value is 0.5. The set value is 0.5. When calculating the product packaging quality evaluation index in the target production line, the packaging quality index at the heat-sealing film level and the bottle cap level are both crucial. The heat-sealing film is a key part of the packaging to ensure sealing. Good heat-sealing performance can effectively prevent external factors such as oxygen and moisture from contaminating or damaging the product. At the same time, the bottle cap is an important part of the packaging, and its sealing performance is directly related to the storage quality of the product.

[0073] The product packaging quality evaluation index in the target production line is compared with the set reference product packaging quality evaluation index. If the product packaging quality evaluation index in the target production line is greater than or equal to the set reference product packaging quality evaluation index, it indicates that there is no problem with the product packaging quality in the target production line; otherwise, it indicates that there is a problem with the product packaging quality in the target production line.

[0074] The embodiment of the present invention calculates the packaging quality index of the product at the heat-sealing film level and the bottle cap level by combining the bottle mouth image, the bottle mouth heat-sealing film image, and the contour area, number of scratches, and the scratch length of each scratch. This can determine whether there are problems with the product packaging quality in the target production line, avoid the existence of ineffectively sealed areas at the bottle mouth due to unqualified heat-sealing film positioning, and improve the overall sealing of the product.

[0075] The product stability test module is used to simulate the vibration conditions during product transportation, collect product change information of each packaged product under each simulated vibration frequency, and analyze the stability evaluation index of each packaged product. If the stability evaluation index of a packaged product is less than the set value, the packaged product will be marked and feedback will be provided.

[0076] In a specific embodiment of the present invention, the product change information includes product weight, the number of suspended matter in each sub-area, and the volume of each suspended matter.

[0077] It should be noted that the product weight is collected by a weight sensor.

[0078] It should also be noted that the method for identifying the number of suspended matter in each sub-area and the volume of each suspended matter is: image acquisition and processing of each sub-area is performed using image analysis software, wherein the image analysis software can automatically identify and count the suspended matter in each sub-area, and automatically measure the volume of each suspended matter using the measurement tool provided in the image analysis software.

[0079] In a specific embodiment of the present invention, the specific process of analyzing the stability evaluation index of each packaged product is as follows: extracting the product weight, the number of suspended matter in each sub-area, and the volume of each suspended matter from the product change information of each packaged product at each simulated vibration frequency, and calculating the leakage anomaly index corresponding to each packaged product. and physical stability index ,in, Indicates the number of the packaged product. .

[0080] It should be noted that the specific process of calculating the leakage anomaly index corresponding to each packaged product is as follows: extracting the weight change value allowed during product transportation from the database and recording it as .

[0081] The weight of each packaged product at each simulated vibration frequency is recorded as ,in, Indicates the number of the simulated vibration frequency, .

[0082] Calculate the leakage anomaly index corresponding to each packaged product , ,in, Indicates the number of simulated vibration frequencies.

[0083] It should be noted that the specific process of calculating the physical stability index corresponding to each packaged product is as follows: the number of suspended matter in each sub-area of ​​each packaged product at each simulated vibration frequency is accumulated to obtain the number of suspended matter in each packaged product at each simulated vibration frequency, and recorded as .

[0084] The volume of each suspended solid in each sub-region of each packaged product at each simulated vibration frequency is accumulated to obtain the volume of each suspended solid in each sub-region of each packaged product at each simulated vibration frequency, and the maximum value is extracted from them and recorded as .

[0085] Calculate the physical stability index corresponding to each packaged product , ,in, and They represent the number and volume of suspended matter used as reference, respectively.

[0086] Calculate the stability evaluation index of each packaged product , ,in, and They represent the weights of the stability assessment corresponding to the set leakage anomaly index and physical stability index, respectively. .

[0087] In a specific embodiment of the present invention, The setting value is 0.5. The setting value is 0.5. The leakage anomaly index and physical stability index are both important in the stability evaluation of the packaged product.

[0088] The embodiment of the present invention simulates the vibration conditions during product transportation, collects product change information of each packaged product under each simulated vibration frequency, and analyzes the stability evaluation index of each packaged product, thereby helping manufacturers to promptly discover problems such as damage and leakage that may occur in the packaging during transportation, assess these risks, and take preventive measures in advance.

[0089] The database is used to store the standard weight corresponding to a single product after filling, the filling flow rate set by the filling nozzle in the filling volume compensation area, the standard contour image of the product bottle cap, and the weight change value allowed during product transportation.

[0090] Table 1 shows the data sources in the database of this embodiment.

[0091]

[0092] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0093] The above embodiments may be implemented in whole or in part through software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0094] Those skilled in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0095] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0096] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0097] Finally, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An online detection system for filling and packaging quality of liquid chemical cleaning products, characterized by: include: The canning alignment analysis module collects images of the bottom of the filling nozzle in the target production line and images of the bottle mouth of the product filled by the filling nozzle in each filling, and analyzes the filling alignment accuracy of the target production line; The canning volume accuracy analysis module determines whether there is a problem with the canning volume accuracy based on the collected product weight during filling. If so, the module compensates for the abnormal canning volume. The filling quality detection module determines whether there are any problems with the filling quality in the target production line and provides feedback if so; The packaging quality inspection module collects images of the bottle mouth, the heat-sealed film on the bottle mouth, the outline area of ​​the bottle cap, the number of scratches, and the length of the scratches corresponding to the product in the package. Based on this, it determines whether there are any problems with the product packaging quality. If so, feedback is provided. The product stability testing module simulates the vibration conditions during product transportation, collects product change information of packaged products under simulated vibration frequencies, and analyzes the stability evaluation index of each packaged product. If the stability evaluation index of a packaged product is less than the set value, it will be marked and feedback will be given.

2. The online detection system for filling and packaging quality of liquid chemical cleaning products according to claim 1 is characterized by: The specific process of analyzing the filling alignment accuracy of the target production line is as follows: Locate the center point of each filling nozzle from the bottom image of each filling nozzle, and map the center point of each filling nozzle to the plane where the bottle mouth of the product filled by each filling nozzle in each filling is located, so as to obtain the mapping point of each filling nozzle on the plane where the bottle mouth of the product filled by each filling nozzle in each filling is located; Locate the center of the product bottle mouth from the image of the product bottle mouth filled by each filling nozzle in each filling run, and obtain the horizontal distance between the mapping point of each filling nozzle on the plane where the product bottle mouth is located and the center of the product bottle mouth, which is recorded as the alignment distance deviation corresponding to each filling nozzle in each filling run; Calculate filling alignment accuracy for the target production line.

3. The online detection system for filling and packaging quality of liquid chemical cleaning products according to claim 2 is characterized by: The specific process of determining whether there is a problem with the accuracy of the canned quantity of each product in each filling is as follows: Record the actual weight of each product after each filling operation; Extract the preset standard weight corresponding to the completion of filling of a single product from the database; Calculate the absolute value of the difference between the actual weight and the preset standard weight, and calculate the relative deviation between the absolute deviation and the preset allowable weight deviation of the product. Use the relative deviation as an exponent to calculate the negative exponential power of the natural constant. The resulting value is the filling volume accuracy of the product in this filling; Compare the canning volume accuracy of the product with the set reference canning volume accuracy. If the canning volume accuracy of a certain time is greater than or equal to the set canning volume accuracy, it is determined that the filling volume accuracy of the product in this filling meets the requirements. Otherwise, it is determined that the filling volume accuracy of the product in this filling does not meet the requirements.

4. The online detection system for filling and packaging quality of liquid chemical cleaning products according to claim 3 is characterized by: The specific process of compensating the filling volume of the product with abnormal filling volume is as follows: Extracting the filling flow rate set by the filling nozzle in the filling volume compensation area from the database; Extract the weight of each can of product with abnormal filling volume; For each abnormal product, calculate the difference between its actual weight and the preset standard weight, and use the difference as the required compensatory filling amount for the corresponding abnormal product; The ratio of the filling volume required to be replenished for each abnormal product to the preset flow rate of the filling nozzle is used as the filling time required to be set for the filling nozzle corresponding to the product with abnormal filling volume.

5. The online detection system for filling and packaging quality of liquid chemical cleaning products according to claim 3 is characterized by: The specific process of determining whether there is a problem with the filling quality in the target production line is as follows: Based on the filling alignment accuracy and filling volume accuracy, a multi-parameter weighted algorithm is used to calculate the filling quality evaluation index in the target production line; The filling quality assessment index in the target production line is compared with the filling quality assessment index of the set reference. If the filling quality assessment index in the target production line is greater than or equal to the filling quality assessment index of the set reference, it indicates that there is no problem with the filling quality in the target production line. Otherwise, it indicates that there is a problem with the filling quality in the target production line.

6. The online detection system for filling and packaging quality of liquid chemical cleaning products according to claim 3 is characterized by: The specific process of determining whether there is a problem with product packaging quality in the target production line is as follows: Calculate the product packaging quality index at the heat-sealing film level based on the bottle mouth image and bottle mouth heat-sealing film image corresponding to each product in each packaging; Calculate the product packaging quality index at the bottle cap level based on the contour area, number of scratches, and scratch length of each scratch on the bottle cap corresponding to each product in each sub-packaging; Calculate the product packaging quality evaluation index in the target production line; The product packaging quality evaluation index in the target production line is compared with the set reference product packaging quality evaluation index. If the product packaging quality evaluation index in the target production line is greater than or equal to the set reference product packaging quality evaluation index, it indicates that there is no problem with the product packaging quality in the target production line; otherwise, it indicates that there is a problem with the product packaging quality in the target production line.

7. The online detection system for filling and packaging quality of liquid chemical cleaning products according to claim 6, characterized in that: The specific process of calculating the packaging quality index of the product at the heat-sealing film level is as follows: Locate the center of the product bottle mouth from the bottle mouth image corresponding to each product in each package, take the center of the product bottle mouth as the origin, and use the horizontal direction as the Axis, vertical direction Axis, establish a two-dimensional rectangular coordinate system for each product in each package; Extracting the coordinate value of the center point of each product in each sub-package from the two-dimensional rectangular coordinate system of each product in each sub-package; Extract the coordinate value of the center point of the bottle heat-sealing film of each product from the two-dimensional rectangular coordinate system of each product in each sub-packaging; Calculate the absolute value of the difference between the horizontal coordinate of the center point of the heat-sealing film and the horizontal coordinate of the center point of the bottle mouth, and use it as the offset of the center of the heat-sealing film in the X-axis direction; Calculate the absolute value of the difference between the ordinate of the center point of the heat-sealing film and the ordinate of the center point of the bottle mouth, and use it as the offset of the center of the heat-sealing film in the Y-axis direction; Based on the offset of the heat sealing film center in the X-axis direction, the offset in the Y-axis direction and the setting permission Axis and The center point position offset value corresponding to the axis analyzes the packaging quality index of the product at the heat sealing film level.

8. The online detection system for filling and packaging quality of liquid chemical cleaning products according to claim 7, characterized in that: The specific process of calculating the packaging quality index of the product at the bottle cap level is as follows: Extracting the standard contour image of the product bottle cap from the database, and calculating the deformation degree of the bottle cap corresponding to each product in each sub-packaging according to the contour area of ​​the bottle cap corresponding to each product in each sub-packaging; Calculate the scratch degree of the bottle cap corresponding to each product in each sub-packaging according to the number of scratches on the bottle cap corresponding to each product in each sub-packaging and the scratch length of each scratch; Calculate the packaging quality index of each product at the bottle cap level in each sub-packaging; Based on the bottle cap deformation and bottle cap scratch degree, a multi-parameter weighted algorithm is used to calculate the packaging quality index of each product at the bottle cap level in each packaging; The packaging quality index of each product at the bottle cap level in each sub-packaging is calculated by quadratic mean to obtain the packaging quality index of the product at the bottle cap level.

9. The online detection system for filling and packaging quality of liquid chemical cleaning products according to claim 1, characterized in that: The product change information includes product weight, the number of suspended matter in each sub-area, and the volume of each suspended matter.

10. The online detection system for filling and packaging quality of liquid chemical cleaning products according to claim 9, characterized in that: The specific process of analyzing the stability evaluation index of each packaged product is as follows: The product weight, the number of suspended solids in each sub-area, and the volume of each suspended solid are extracted from the product change information of each packaged product at each simulated vibration frequency. The leakage anomaly index and physical stability index corresponding to each packaged product are calculated respectively. The stability evaluation index of each packaged product is analyzed based on the leakage anomaly index and physical stability index.

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