An aluminium profile quality control system for a dedicated vehicle lifting platform
The monitoring module, which combines an acoustic thickness gauge and a laser scanner, solves the problem of low efficiency in existing aluminum profile quality supervision systems, enabling efficient screening and subdivision of aluminum profiles and improving the safety and efficiency of vehicle lifting platforms.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANDONG HESHUN TENGDA HIGH-TECH MATERIALS CO LTD
- Filing Date
- 2023-04-03
- Publication Date
- 2026-06-05
AI Technical Summary
The existing aluminum profile quality supervision system is inefficient, unable to effectively screen out qualified aluminum profiles, and unable to further subdivide qualified aluminum profiles, which affects the safety of vehicle lifting platforms.
A monitoring module combining an acoustic thickness gauge and a laser scanner is used. A temperature compensation module calculates the temperature compensation coefficient, and an analysis module processes the data to select aluminum profiles of different grades for use in different positions on the special vehicle lifting platform.
This technology enables efficient screening of aluminum profiles with smooth surfaces, reduces usage costs, and improves the safety and efficiency of vehicle lifting platforms.
Smart Images

Figure CN116713203B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of quality supervision, and specifically to a quality supervision system for aluminum profiles used in special vehicle lifting platforms. Background Technology
[0002] A vehicle lifting platform is a specialized lifting platform for vertically transporting cars. It is mainly used for transporting cars between different floors in building parking lots and other work areas. It is especially suitable for low-rise buildings and is a safe and ideal car transport equipment.
[0003] The safety of a vehicle lifting platform is a crucial factor in determining its quality. Therefore, the quality control of the aluminum profiles used to build the platform is particularly important. Currently, the quality control of aluminum profiles for vehicle lifting platforms is mostly carried out through manual sampling, which is extremely inefficient.
[0004] Moreover, existing aluminum profile quality supervision systems can only screen out qualified and unqualified aluminum profiles, but qualified aluminum profiles also vary in quality, and these aluminum profiles cannot be further subdivided. Summary of the Invention
[0005] The purpose of this invention is to provide a quality supervision system for aluminum profiles used in special vehicle lifting platforms, thereby solving the aforementioned technical problems.
[0006] A quality control system for aluminum profiles used in special vehicle lifting platforms includes:
[0007] The first monitoring module includes an acoustic thickness gauge, used to obtain the dimensions of the aluminum profile;
[0008] The second monitoring module includes a laser scanner for acquiring surface images of the aluminum profile;
[0009] The conveying module is used to automatically convey aluminum profiles to the first monitoring module to complete dimensional quality monitoring, and to directly convey aluminum profiles that meet the dimensional quality standards to the next process.
[0010] The transfer module is used to directly transfer aluminum profiles that are found to be dimensionally substandard in the first monitoring module to the second monitoring module without affecting the conveying module's continued conveying of dimensionally qualified aluminum profiles.
[0011] The temperature compensation module is used to calculate the temperature compensation coefficient when measuring the dimensions of aluminum profiles using an acoustic thickness gauge at different temperatures.
[0012] The analysis module is used to process the data acquired by the first monitoring module and the second monitoring module;
[0013] The main controller, connected to the first monitoring module, the second monitoring module, the conveying module, the transfer module, the temperature compensation module, and the analysis module, is used to control the operation of the entire system.
[0014] Through the above technical solution, the first monitoring module not only selects aluminum profiles of qualified dimensions, but also selects aluminum profiles with smooth surfaces and excellent surface quality. At the same time, the transfer module transports the remaining aluminum profiles to the second monitoring module without affecting the normal transport of the conveying module. The second monitoring module monitors the remaining aluminum profiles, removes unqualified aluminum profiles, and selects three different types of aluminum profiles with qualified overall surface quality, qualified surface quality of aluminum profile areas, and qualified surface quality of aluminum profiles in smaller areas. The analysis module classifies these three types of aluminum profiles, and the different grades of aluminum profiles are used in different positions of the special vehicle lifting platform.
[0015] As a further description of the present invention, the analysis module calculates the actual size of the aluminum profile by obtaining the temperature compensation coefficient calculated by the temperature compensation module at the current temperature and the aluminum profile size detected by the acoustic thickness gauge at the current temperature by the first monitoring module: In the formula, d represents the actual size of the aluminum profile, and k is the temperature compensation coefficient when measuring the size of the aluminum profile using an acoustic thickness gauge at the current temperature. Calculate the actual dimensions of the aluminum profile based on the dimensions measured by the acoustic thickness gauge at the current temperature.
[0016] As a further description of the present invention, before measuring the dimensional quality of the aluminum profile, the first monitoring module selects an aluminum profile test block of the same material at the current temperature.
[0017] Measurements are taken under different conditions, and the measurement error of the material at the current temperature is calculated. The temperature compensation module is then used to calculate the temperature compensation coefficient k when the acoustic thickness gauge measures the dimensions of the aluminum profile under the current temperature conditions.
[0018] Through the above technical solution, in order to avoid the influence of temperature on the thickness of the material and the propagation speed of sound waves, the analysis module obtains the temperature compensation coefficient k when the sound wave thickness gauge measures the size of the aluminum profile under the current temperature conditions, and calculates the actual size d of the aluminum profile based on the size of the aluminum profile detected by the sound wave thickness gauge at the current temperature.
[0019] As a further description of the present invention, when the conveying module conveys the batch of aluminum profiles to be inspected to the working area of the first inspection module, the acoustic thickness gauge starts from one end of the aluminum profile and ends at the other end, directionally emitting acoustic waves to measure the thickness of each inspection point of the aluminum profile at the current temperature. The analysis module calculates the actual dimensions d1, d2...d at each detection point of the aluminum profile in real time. n .
[0020] As a further description of the present invention, the actual dimensions d1, d2...d at each detection point of the aluminum profile are... n Substitute into the following formula to calculate the average thickness of the aluminum profile.
[0021] Will Compare with the target threshold;
[0022] like If the absolute value of subtracting the target threshold falls within the target threshold range, it indicates that the aluminum profile surface is smooth, the surface quality is excellent, the dimensional quality is acceptable, and the thickness is within acceptable limits. It can be directly transported to the next process via the conveyor module;
[0023] like If the absolute value of the subtracted target threshold is not within the target threshold range, it indicates that there are bulges or depressions on the surface of the aluminum profile. The transfer module then directly transfers the aluminum profile to the second monitoring module.
[0024] Through the above technical solution, the first detection module measures the average thickness of the aluminum profile, and compares the average thickness with the target threshold to not only screen out aluminum profiles with qualified dimensions, but also aluminum profiles with excellent surface quality.
[0025] As a further description of the present invention, the second monitoring module scans the surface of the aluminum profile at a fixed distance using a laser scanner, starting the scan from one end of the aluminum profile and ending at the other end, with an area S. 基 Using square centimeters as the base, every S 基 One sampling image is obtained for every square centimeter, and a total of m images are obtained, where m is at least 2. The m images are arranged and connected in the order they were obtained to obtain the actual pattern of the aluminum profile surface.
[0026] As a further description of the present invention, the analysis module analyzes the actual pattern on the surface of the aluminum profile to obtain the total area S of the bulge or depression contour. 异 , will S 异 Substitute the values into the following formula to obtain the overall surface quality judgment coefficient A for the aluminum profile:
[0027] The judgment coefficient A is compared with the target threshold. If the judgment coefficient A is less than the target threshold, it means that the overall surface quality of the aluminum profile is qualified. If the judgment coefficient A is greater than the target threshold, it means that the overall surface quality of the aluminum profile is unqualified.
[0028] By comparing the judgment coefficient A with the target threshold, a portion of the aluminum profiles that do not meet the quality standards are eliminated, and aluminum profiles with acceptable overall surface quality are selected.
[0029] As a further description of the present invention, when the overall surface quality of the aluminum profile is qualified, the analysis module analyzes m images respectively, obtains the number Q of bulges or depressions in each image, compares the number Q with a target threshold, if the number Q is less than the target threshold, it indicates that the surface quality of the aluminum profile area is qualified, if the number Q is greater than the target threshold, it indicates that the surface quality of the aluminum profile area is unqualified.
[0030] When the area of the last image acquired sequentially by the second monitoring module is less than S 基 At that time, obtain the area S of the last image. 后 The target threshold for the number of images is Q. 后 From the following formula, we can obtain Q0 as the area S. 基 Target threshold for the number of regions:
[0031] Using the above technical solution, the number Q of bulges or dents is compared with the target threshold to further eliminate some substandard aluminum profiles and screen out aluminum profiles with qualified surface quality in the aluminum profile area.
[0032] As a further description of the present invention, when the surface quality of the aluminum profile area is qualified, the distance L between two adjacent bulges or depressions in each image is obtained, and the distance L is compared with a target threshold. If the distance L is greater than the target threshold, it indicates that the surface quality of the smaller area of the aluminum profile is qualified; if the distance L is less than the target threshold, it indicates that the surface quality of the smaller area of the aluminum profile is unqualified.
[0033] By comparing the distance L with the target threshold, the aluminum profiles that fail to meet the quality standards are further eliminated, and aluminum profiles with qualified surface quality in a smaller area are selected.
[0034] As a further description of the present invention, the analysis module classifies three different aluminum profiles—those with overall qualified surface quality, those with qualified surface quality in a specific area, and those with qualified surface quality in a smaller area—into different grades of aluminum profiles. These different grades of aluminum profiles are used in different positions on the special vehicle lifting platform.
[0035] The beneficial effects of this invention are as follows: 1. While the first monitoring module of this invention screens out aluminum profiles of qualified dimensions, it also screens out aluminum profiles with smooth surfaces and excellent surface quality. At the same time, the transfer module transports the remaining aluminum profiles to the second monitoring module without affecting the normal transport of the conveying module. The second monitoring module monitors the remaining aluminum profiles, removes unqualified aluminum profiles, and screens out three different types of aluminum profiles: aluminum profiles with overall qualified surface quality, aluminum profiles with qualified surface quality in a certain area, and aluminum profiles with qualified surface quality in a smaller area. The analysis module classifies these four types of aluminum profiles, and different grades of aluminum profiles are used in different positions of the special vehicle lifting platform to reduce the cost of use.
[0036] 2. In order to avoid the influence of temperature on the thickness of the material and the propagation speed of sound waves, the analysis module obtains the temperature compensation coefficient k when the sound wave thickness gauge measures the size of the aluminum profile under the current temperature conditions. Based on k, the actual size d of the aluminum profile is calculated from the size of the aluminum profile detected by the sound wave thickness gauge at the current temperature. Attached Figure Description
[0037] The invention will now be further described with reference to the accompanying drawings.
[0038] Figure 1 This is a structural schematic diagram of the aluminum profile quality supervision system for a special vehicle lifting platform provided by the present invention. Detailed Implementation
[0039] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0040] Please see Figure 1 This invention relates to a quality monitoring system for aluminum profiles used in special vehicle lifting platforms, comprising:
[0041] The first monitoring module includes an acoustic thickness gauge, used to obtain the dimensions of the aluminum profile;
[0042] The second monitoring module includes a laser scanner for acquiring surface images of the aluminum profile;
[0043] The conveying module is used to automatically convey aluminum profiles to the first monitoring module to complete dimensional quality monitoring, and directly convey aluminum profiles that meet the dimensional quality standards to the next process.
[0044] The transfer module is used to directly transfer aluminum profiles that are found to be dimensionally substandard in the first monitoring module to the second monitoring module without affecting the conveying module's continued conveying of dimensionally qualified aluminum profiles.
[0045] The temperature compensation module is used to calculate the temperature compensation coefficient when measuring the dimensions of aluminum profiles using an acoustic thickness gauge at different temperatures.
[0046] The analysis module is used to process the data acquired by the first monitoring module and the second monitoring module;
[0047] The main controller, connected to the first monitoring module, the second monitoring module, the conveying module, the transfer module, the temperature compensation module, and the analysis module, is used to control the operation of the entire system.
[0048] Through the above technical solution, the first monitoring module not only screens out aluminum profiles of qualified dimensions, but also selects aluminum profiles with smooth surfaces and excellent surface quality. At the same time, the transfer module transports the remaining aluminum profiles to the second monitoring module without affecting the normal transport of the conveying module. The second monitoring module monitors the remaining aluminum profiles, removes unqualified aluminum profiles, and selects three different types of aluminum profiles: those with overall qualified surface quality, those with qualified surface quality in a specific area, and those with qualified surface quality in a smaller area. The analysis module classifies these four types of aluminum profiles, and the different grades of aluminum profiles are used in different positions of the special vehicle lifting platform.
[0049] As a further description of the present invention, the analysis module calculates the actual size of the aluminum profile by obtaining the temperature compensation coefficient calculated by the temperature compensation module at the current temperature and the aluminum profile size detected by the acoustic thickness gauge at the current temperature by the first monitoring module: In the formula, d represents the actual size of the aluminum profile, and k is the temperature compensation coefficient when measuring the size of the aluminum profile using an acoustic thickness gauge at the current temperature. Calculate the actual dimensions of the aluminum profile based on the dimensions measured by the acoustic thickness gauge at the current temperature.
[0050] As a further description of the present invention, before measuring the size and quality of the aluminum profile, the first monitoring module selects aluminum profile test blocks of the same material and measures them under the current temperature conditions, calculates the measurement error of the material under the current temperature, and inputs it into the temperature compensation module to obtain the temperature compensation coefficient k when the acoustic thickness gauge measures the size of the aluminum profile under the current temperature conditions.
[0051] Considering that the material properties of aluminum profiles will change under three conditions: room temperature, low temperature and high temperature, the dimensions of aluminum profiles are obtained using the first monitoring module in this application at room temperature, wherein the temperature compensation coefficient K_room of the aluminum profile is 1 at room temperature.
[0052] Then, the aluminum profile dimensions were obtained using the first monitoring module in this application at low and high temperatures. The same aluminum profile was used at room temperature, low temperature, and high temperature. A certain number of aluminum profile dimension data were collected under the three working conditions. The dimension data collected at low temperature was compared with the dimension data collected at room temperature, and the ratio was calculated. The value with the most frequent ratio was selected as the compensation coefficient K_low for low temperature. The same method was used for high temperature to obtain K_high.
[0053] Through the above technical solution, in order to avoid the influence of temperature on the thickness of the material and the propagation speed of sound waves, the analysis module obtains the temperature compensation coefficient k when the sound wave thickness gauge measures the size of the aluminum profile under the current temperature conditions, and calculates the actual size d of the aluminum profile based on the size of the aluminum profile detected by the sound wave thickness gauge at the current temperature.
[0054] As a further description of the present invention, when the conveying module conveys the batch of aluminum profiles to be inspected to the working area of the first inspection module, the acoustic thickness gauge starts from one end of the aluminum profile and ends at the other end, directionally emitting acoustic waves to measure the thickness of each inspection point of the aluminum profile at the current temperature. The analysis module calculates the actual dimensions d1, d2...d at each detection point of the aluminum profile in real time. n .
[0055] As a further description of the present invention, the actual dimensions d1, d2...d at each detection point of the aluminum profile are... n Substitute into the following formula to calculate the average thickness of the aluminum profile.
[0056] Will Compare with the target threshold;
[0057] like If the absolute value of subtracting the target threshold falls within the target threshold range, it indicates that the aluminum profile surface is smooth, the surface quality is excellent, the dimensional quality is acceptable, and the thickness is within acceptable limits. It can be directly transported to the next process via the conveyor module;
[0058] like If the absolute value of the subtracted target threshold is not within the target threshold range, it indicates that there are bulges or depressions on the surface of the aluminum profile. The transfer module then directly transfers the aluminum profile to the second monitoring module.
[0059] Through the above technical solution, the first detection module measures the average thickness of the aluminum profile, and compares the average thickness with the target threshold to not only screen out aluminum profiles with qualified dimensions, but also aluminum profiles with excellent surface quality.
[0060] As a further description of the present invention, the second monitoring module scans the surface of the aluminum profile at a fixed distance using a laser scanner, starting the scan from one end of the aluminum profile and ending at the other end, with an area S. 基 Using square centimeters as the base, every S 基 One sampling image is obtained for every square centimeter, and a total of m images are obtained, where m is at least 2. The m images are arranged and connected in the order they were obtained to obtain the actual pattern of the aluminum profile surface.
[0061] As a further description of the present invention, the analysis module analyzes the actual pattern on the surface of the aluminum profile to obtain the total area S of the bulge or depression contour. 异 , will S 异 Substitute the values into the following formula to obtain the overall surface quality judgment coefficient A for the aluminum profile:
[0062] The judgment coefficient A is compared with the target threshold. If the judgment coefficient A is less than the target threshold, it means that the overall surface quality of the aluminum profile is qualified. If the judgment coefficient A is greater than the target threshold, it means that the overall surface quality of the aluminum profile is unqualified.
[0063] By comparing the judgment coefficient A with the target threshold, a portion of the aluminum profiles that do not meet the quality standards are eliminated, and aluminum profiles with acceptable overall surface quality are selected.
[0064] As a further description of the present invention, when the overall surface quality of the aluminum profile is qualified, the analysis module analyzes m images respectively, obtains the number Q of bulges or depressions in each image, compares the number Q with a target threshold, if the number Q is less than the target threshold, it indicates that the surface quality of the aluminum profile area is qualified, if the number Q is greater than the target threshold, it indicates that the surface quality of the aluminum profile area is unqualified.
[0065] When the area of the last image acquired sequentially by the second monitoring module is less than S 基 At that time, obtain the area S of the last image. 后 The target threshold for the number of images is Q. 后 Through the following
[0066] From the formula, we can obtain that Q0 is the area S. 基 Target threshold for the number of regions:
[0067] Using the above technical solution, the number Q of bulges or dents is compared with the target threshold to further eliminate some substandard aluminum profiles and screen out aluminum profiles with qualified surface quality in the aluminum profile area.
[0068] As a further description of the present invention, when the surface quality of the aluminum profile area is qualified, the distance L between two adjacent bulges or depressions in each image is obtained, and the distance L is compared with a target threshold. If the distance L is greater than the target threshold, it indicates that the surface quality of the smaller area of the aluminum profile is qualified; if the distance L is less than the target threshold, it indicates that the surface quality of the smaller area of the aluminum profile is unqualified.
[0069] By comparing the distance L with the target threshold, the aluminum profiles that fail to meet the quality standards are further eliminated, and aluminum profiles with qualified surface quality in a smaller area are selected.
[0070] As a further description of the present invention, the analysis module classifies three different aluminum profiles—those with overall qualified surface quality, those with qualified surface quality in a specific area, and those with qualified surface quality in a smaller area—into different grades of aluminum profiles. These different grades of aluminum profiles are used in different positions on the special vehicle lifting platform.
[0071] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.
Claims
1. A quality supervision system for aluminum profiles used in a special vehicle lifting platform, characterized in that, include: The first monitoring module includes an acoustic thickness gauge, used to obtain the dimensions of the aluminum profile; The second monitoring module includes a laser scanner for acquiring surface images of the aluminum profile; The conveying module is used to automatically convey aluminum profiles to the first monitoring module to complete dimensional quality monitoring, and directly convey aluminum profiles that meet the dimensional quality standards to the next process. The transfer module is used to directly transfer aluminum profiles that are found to be dimensionally substandard in the first monitoring module to the second monitoring module without affecting the conveying module's continued conveying of dimensionally qualified aluminum profiles. The temperature compensation module is used to calculate the temperature compensation coefficient when measuring the dimensions of aluminum profiles using an acoustic thickness gauge at different temperatures. The analysis module is used to process the data acquired by the first monitoring module and the second monitoring module; The main controller, connected to the first monitoring module, the second monitoring module, the conveying module, the transfer module, the temperature compensation module, and the analysis module, is used to control the operation of the entire system. When the conveying module transports the batch of aluminum profiles to be inspected to the working area of the first monitoring module, the acoustic thickness gauge starts from one end of the aluminum profile and ends at the other end, directionally emitting acoustic waves to measure the thickness of each detection point of the aluminum profile at the current temperature.
1. 2… n The analysis module calculates the actual dimensions d1, d2…d at each detection point of the aluminum profile in real time. n ; The actual dimensions d1, d2...d at each detection point of the aluminum profile are... n Substitute into the following formula to calculate the average thickness of the aluminum profile. : Will Compare with the target threshold; like If the absolute value of subtracting the target threshold falls within the target threshold range, it indicates that the aluminum profile surface is smooth, the surface quality is excellent, the dimensional quality is acceptable, and the thickness is within acceptable limits. It can be directly transported to the next process via the conveyor module; like If the absolute value of the subtracted target threshold is not within the target threshold range, it indicates that there are bulges or depressions on the surface of the aluminum profile. The transfer module directly transfers the aluminum profile to the second monitoring module. The second monitoring module scans the surface of the aluminum profile at a fixed distance using a laser scanner, starting from one end of the aluminum profile and ending at the other end, with an area S. 基 Using square centimeters as the base, every S 基 One sampling image is obtained per square centimeter, and a total of m images are obtained, where m is at least 2. The m images are arranged and connected in the order of acquisition to obtain the actual pattern of the aluminum profile surface. The analysis module analyzes the actual surface pattern of the aluminum profile to obtain the total area S of the bulge or depression contour. 异 , will S 异 Substitute the values into the following formula to obtain the overall surface quality judgment coefficient A for the aluminum profile: Compare the judgment coefficient A with the target threshold. If the judgment coefficient A is less than the target threshold, it means that the overall surface quality of the aluminum profile is qualified. If the judgment coefficient A is greater than the target threshold, it means that the overall surface quality of the aluminum profile is unqualified. When the overall surface quality of the aluminum profile is qualified, the analysis module analyzes each of the m images to obtain the number Q of bulges or depressions in each image. The number Q is compared with a target threshold. If the number Q is less than the target threshold, it means that the surface quality of the aluminum profile area is qualified. If the number Q is greater than the target threshold, it means that the surface quality of the aluminum profile area is unqualified. When the area of the last image acquired sequentially by the second monitoring module is less than S 基 At that time, obtain the area S of the last image. 后 The target threshold for the number of images is Q. 后 We can obtain the following formula: For area Target threshold for the number of regions: ; When the surface quality of the aluminum profile area is qualified, the distance L between two adjacent bulges or depressions in each image is obtained. The distance L is compared with the target threshold. If the distance L is greater than the target threshold, it means that the surface quality of the smaller area of the aluminum profile is qualified. If the distance L is less than the target threshold, it means that the surface quality of the smaller area of the aluminum profile is unqualified. The analysis module classifies aluminum profiles into three different grades: those with excellent surface quality, those with acceptable overall surface quality, those with acceptable surface quality in a specific area, and those with acceptable surface quality in a smaller area. These different grades of aluminum profiles are used in different positions on the special vehicle lifting platform.
2. The aluminum profile quality supervision system for a special vehicle lifting platform according to claim 1, characterized in that, The analysis module calculates the actual dimensions of the aluminum profile by obtaining the temperature compensation coefficient calculated by the temperature compensation module at the current temperature and the aluminum profile dimensions detected by the acoustic thickness gauge at the current temperature by the first monitoring module. In the formula, d is the actual size of the aluminum profile. This refers to the temperature compensation coefficient when measuring the dimensions of aluminum profiles using an acoustic thickness gauge at the current temperature. Calculate the actual dimensions of the aluminum profile based on the dimensions measured by the acoustic thickness gauge at the current temperature.
3. The aluminum profile quality supervision system for a special vehicle lifting platform according to claim 1, characterized in that, Before measuring the dimensions and quality of the aluminum profile, the first monitoring module selects aluminum profile test blocks of the same material and measures them under the current temperature conditions. It then calculates the measurement error of the material under the current temperature and inputs it into the temperature compensation module to obtain the temperature compensation coefficient k when the acoustic thickness gauge measures the dimensions of the aluminum profile under the current temperature conditions.