Multi-section cross-flow fan product automatic detection system and method
Through the automatic detection system and method of multi-section cross-flow fan products, the rotary drive and mobile modules are used in conjunction with the vector superposition regression method to solve the problems of low accuracy and long time consumption in the existing detection methods, and realize fast and accurate product detection.
Patent Information
- Application Number
- CN202510892796.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-30
- Publication Date
- 2025-09-16
AI Technical Summary
The existing inspection method for multi-section cross-flow fan products relies on human observation and measurement, which has low accuracy and is time-consuming. It cannot effectively reflect the deep-seated causes of radial runout problems and is prone to cause visual fatigue.
A multi-section cross-flow fan product automatic detection system is adopted, including a rotation drive module, a rotation support module, an axial movement module, a longitudinal movement module, a size detection module, a test parameter input module, a data processing module and a test result display module. Through the coordinated work of these modules, automatic detection and parameter calculation are realized. A passive telescopic probe is used to detect the size and the product parameters are calculated through the vector superposition regression method.
It achieves fast and accurate detection of multi-section cross-flow fan products, provides effective detection data support, reduces errors and time consumption in manual measurement, and improves detection efficiency.
Smart Images
Figure CN120651165A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of detection technology, and in particular to an automatic detection system and method for multi-section cross-flow fan products. Background Art
[0002] During the production process of multi-section cross-flow fans, it is necessary to control and detect the radial runout of the products. The original detection method relies on a dial indicator and a rotary worktable for measurement. During measurement, the personnel rely on observing the changes in the fluctuation amplitude of the measuring pointer to determine the size of the radial runout. This method cannot fully reflect the deep-seated causes of the radial runout problem and cannot provide more effective detection data for improving the manufacturing process. In addition, this detection method takes a long time to obtain accurate detection results and is prone to cause visual fatigue. Summary of the Invention
[0003] Technical problem solved by the present invention: The present invention provides an automatic detection system and method for multi-section cross-flow fan products, which solves the problem that the existing multi-section cross-flow fan product detection uses human observation and measurement with low accuracy and long time consumption.
[0004] The present invention solves the above technical problems by adopting the following technical solutions: an automatic detection system for multi-section cross-flow fan products, including a rotation drive module, a rotation support module, an axial movement module, a longitudinal movement module, a size detection module, a test parameter input module, a data processing module and a test result display module; the rotation drive module and the rotation support module are respectively used to support the two ends of the multi-section cross-flow fan product to be tested, and drive the multi-section cross-flow fan product to be tested to rotate through the rotation drive module; the test parameter input module is used to input test parameters, and the test parameters include detection divisions; the size detection module uses a passive telescopic probe to detect the size of the multi-section cross-flow fan product to be tested according to the detection division, and the size is the detection result of the detection result. The distance between the measuring point and the rotation axis is transmitted to the data processing module; the axial movement module is used to control the size detection module to move on a line parallel to the rotation center axis of the multi-section cross-flow fan product to be tested, so that the size detection module can detect the sizes of different positions of the multi-section cross-flow fan product to be tested; the longitudinal movement module is used to control the size detection module to move in the perpendicular direction of the rotation center axis of the multi-section cross-flow fan product to be tested, so that the probe of the size detection module reaches a specified position, and the specified position is that the probe contacts the multi-section cross-flow fan product to be tested; the data processing module calculates the parameters of the multi-section cross-flow fan product based on the detected distance between the detection point and the rotation axis, and displays them through the test result display module.
[0005] Furthermore, the size of the multi-section cross-flow fan product to be tested is detected based on the detection division, including: starting from the preset 0° point, recording a measurement data for each detection division value until the set integer circle rotation measurement is completed, and recording the angle information and the corresponding measurement data.
[0006] Furthermore, the parameters of the multi-section cross-flow fan product are calculated based on the distance between the detected detection point and the rotation axis, including: calculating the arithmetic mean of multiple measurement data at the same angle, and calculating the parameters of the multi-section cross-flow fan product using the vector superposition regression method based on the arithmetic mean of the measurement data.
[0007] Furthermore, the parameters of the multi-section cross-flow fan product include a center deviation vector, a correction vector, and a roundness radius; the parameters of the multi-section cross-flow fan product are calculated using a vector superposition regression method based on the arithmetic mean of the measurement data, including: converting the arithmetic mean of the measurement data of each angle into vector data by performing a two-dimensional vector operation with the rotation axis as the center point, ,in, Indicates the The arithmetic mean of the measured data of the angles, Indicates the detection division; calculate the arithmetic mean of the vector, the arithmetic mean of the vector is expressed as: ,in Indicates the number of detections per rotation. , multiply the arithmetic mean of the vector by the regression coefficient to obtain the center deviation vector, which is expressed as: ,in Represents the regression coefficient; subtract the center deviation vector from the vector data of the measured point to obtain the corresponding correction vector, which is expressed as: Based on the correction vector, calculate the circle radius using the Pythagorean theorem.
[0008] The present invention also provides a method for automatically detecting a multi-section cross-flow fan product, which is applied to the above-mentioned automatic detection system for a multi-section cross-flow fan product. The method comprises the following steps: S1. Insert one end of the shaft sleeve of the multi-section cross-flow fan product to be tested into the rotating shaft of the rotary drive module, and adjust the rotary support module to support the other end of the shaft sleeve of the multi-section cross-flow fan product to be tested; S2. Set test parameters, including detection scale; S3, the axial movement module moves the size detection module to the set detection position; S4. The longitudinal movement module pushes the probe of the size detection module toward the multi-section cross-flow fan product to be tested to a specified position, where the probe contacts the multi-section cross-flow fan product to be tested; S5. The rotation drive module rotates the multi-section crossflow fan product to be tested. After the rotation speed stabilizes, the dimension detection module uses a passive telescopic probe to detect the dimension of the multi-section crossflow fan product to be tested according to the detection index. The dimension is the distance between the detection point and the rotation axis, and is transmitted to the data processing module. S6. The data processing module calculates the parameters of the multi-section cross-flow fan product based on the distance between the detected detection point and the rotation axis, and displays them through the test result display module.
[0009] Furthermore, in S5, the size of the multi-section cross-flow fan product to be tested is detected based on the detection division, including: starting from the preset 0° point, recording a measurement data for each detection division value until the set integer circle rotation measurement is completed, and recording the angle information and the corresponding measurement data.
[0010] Furthermore, in S6, the parameters of the multi-section cross-flow fan product are calculated based on the distance between the detected detection point and the rotation axis, including: calculating the arithmetic mean of multiple measurement data at the same angle, and calculating the parameters of the multi-section cross-flow fan product using the vector superposition regression method based on the arithmetic mean of the measurement data.
[0011] Furthermore, in S6, the parameters of the multi-section cross-flow fan product include a center deviation vector, a correction vector, and a roundness radius; the parameters of the multi-section cross-flow fan product are calculated using a vector superposition regression method based on the arithmetic mean of the measurement data, including: converting the arithmetic mean of the measurement data of each angle into vector data by performing a two-dimensional vector operation with the rotation axis as the center point, ,in, Indicates the The arithmetic mean of the measured data of the angles, Indicates the detection division; calculate the arithmetic mean of the vector, the arithmetic mean of the vector is expressed as: ,in Indicates the number of detections per rotation. , multiply the arithmetic mean of the vector by the regression coefficient to obtain the center deviation vector, which is expressed as: ,in Represents the regression coefficient; subtract the center deviation vector from the vector data of the measured point to obtain the corresponding correction vector, which is expressed as: Based on the correction vector, calculate the circle radius using the Pythagorean theorem.
[0012] Beneficial effects of the present invention: The present invention provides an automatic detection system and method for multi-section cross-flow fan products, which drives the multi-section cross-flow fan product to be tested to rotate through a rotating drive module, and enables the size detection module to detect the size of the rotating multi-section cross-flow fan product to be tested through an axial movement module and a longitudinal movement module, wherein the size is the distance between the detection point and the rotation axis, thereby quickly completing the detection of the multi-section cross-flow fan product to be tested, obtaining the measurement data corresponding to each detection division of the multi-section cross-flow fan product to be tested, and recording it, calculating the parameters of the multi-section cross-flow fan product according to the distance between the detected detection point and the rotation axis through a data processing module, and displaying it through a test result display module, thereby quickly obtaining the parameters of the multi-section cross-flow fan product to be tested, thereby providing data support for product quality and providing effective data for improving the manufacturing process, and solving the problem that the existing multi-section cross-flow fan product detection uses human observation for measurement with low measurement accuracy and long time consumption. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] Figure 1 This is a structural schematic diagram of an automatic detection system for a multi-section cross-flow fan product provided by the present invention, wherein 1 represents a rotation drive module, 2 represents a rotation support module, 3 represents an axial movement module, 4 represents a longitudinal movement module, 5 represents a dimension detection module, 6 represents a test result display module, and 7 represents a multi-section cross-flow fan product to be tested. DETAILED DESCRIPTION
[0014] The present invention aims to solve the problem that the existing multi-section cross-flow fan product inspection uses manual observation and measurement with low accuracy and long time consumption, and provides an automatic inspection system for multi-section cross-flow fan products. Figure 1As shown, it includes a rotation drive module 1, a rotation support module 2, an axial movement module 3, a longitudinal movement module 4, a size detection module 5, a test parameter input module, a data processing module and a test result display module 6; the rotation drive module 1 and the rotation support module 2 are respectively used to support the two ends of the multi-section cross-flow fan product 7 to be tested, and drive the multi-section cross-flow fan product 7 to be tested to rotate through the rotation drive module 1; the test parameter input module is used to input test parameters, and the test parameters include detection division; the size detection module 5 uses a passive telescopic probe to detect the size of the multi-section cross-flow fan product to be tested according to the detection division, and the size is the distance between the detection point and the rotation axis, And transmit it to the data processing module; the axial movement module 3 is used to control the size detection module to move on a line parallel to the rotation center axis of the multi-section cross-flow fan product to be tested, so that the size detection module can detect the sizes of different positions of the multi-section cross-flow fan product to be tested; the longitudinal movement module 4 is used to control the size detection module to move in the perpendicular direction of the rotation center axis of the multi-section cross-flow fan product to be tested, so that the probe of the size detection module reaches the specified position, and the specified position is that the probe contacts the multi-section cross-flow fan product to be tested; the data processing module calculates the parameters of the multi-section cross-flow fan product based on the distance between the detected detection point and the rotation axis, and displays it through the test result display module 6.
[0015] Specifically, the test result display module 6 and the test parameter input module can be implemented using a touch screen, thereby reducing the amount of hardware and thus saving costs.
[0016] In the size detection module 5, the size of the multi-section cross-flow fan product to be tested is detected according to the detection division, including: starting from the preset 0° point, recording a measurement data for each detection division value until the set integer circle rotation measurement is completed, and recording the angle information and the corresponding measurement data.
[0017] In the data processing module, the parameters of the multi-section cross-flow fan product are calculated based on the distance between the detected detection point and the rotation axis, including: calculating the arithmetic mean of multiple measurement data of the same angle, and using the vector superposition regression method to calculate the parameters of the multi-section cross-flow fan product based on the arithmetic mean of the measurement data. Specifically, the parameters include the center deviation vector, the correction vector and the roundness radius. The calculation process includes: converting the arithmetic mean of the measurement data of each angle into vector data by performing two-dimensional vector operation with the rotation axis as the center point, ,in, Indicates the The arithmetic mean of the measured data of the angles, Indicates the detection division; calculate the arithmetic mean of the vector, the arithmetic mean of the vector is expressed as: ,in Indicates the number of detections per rotation. , multiply the arithmetic mean of the vector by the regression coefficient to obtain the center deviation vector, which is expressed as: ,in Represents the regression coefficient; subtract the center deviation vector from the vector data of the measured point to obtain the corresponding correction vector, which is expressed as: Based on the correction vector, calculate the circle radius using the Pythagorean theorem.
[0018] The present invention addresses the problem that the existing multi-section cross-flow fan product inspection using manual observation and measurement has low accuracy and is time-consuming. The present invention also provides an automatic inspection method for multi-section cross-flow fan products, which is applied to the above-mentioned automatic inspection system for multi-section cross-flow fan products. The method comprises the following steps: S1. Insert one end of the shaft sleeve of the multi-section cross-flow fan product to be tested into the rotating shaft of the rotary drive module, and adjust the rotary support module to support the other end of the shaft sleeve of the multi-section cross-flow fan product to be tested.
[0019] S2. Set test parameters, including detection division. Test parameters may also include the factory diameter of the multi-section cross-flow fan product to be tested, the number of test turns, the detection position, etc., so as to cooperate with the axial movement module and the longitudinal movement module to automatically adjust the probe position of the size detection module to realize automatic detection. Among them, the detection position can also be automatically adjusted through automatic control.
[0020] S3. The axial movement module moves the size detection module to the set detection position.
[0021] S4. The longitudinal movement module pushes the probe of the size detection module toward the multi-section cross-flow fan product to be tested to a designated position, where the probe contacts the multi-section cross-flow fan product to be tested.
[0022] S5. The rotation drive module rotates the multi-section crossflow fan product to be tested. After the rotation speed stabilizes, the dimension detection module uses a passive telescopic probe to detect the dimensions of the multi-section crossflow fan product to be tested based on the detection scale. The dimension is the distance between the detection point and the rotation axis, and is transmitted to the data processing module. Specifically, the dimension detection of the multi-section crossflow fan product to be tested based on the detection scale includes: starting from a preset 0° point, recording a measurement data for each detection scale value until the set integer number of rotations is completed, and recording the angle information and corresponding measurement data.
[0023] S6. The data processing module calculates the parameters of the multi-section cross-flow fan product based on the distance between the detected detection point and the rotation axis, and displays it through the test result display module. Specifically, the parameters of the multi-section cross-flow fan product are calculated based on the distance between the detected detection point and the rotation axis, including: calculating the arithmetic mean of multiple measurement data of the same angle, and using the vector superposition regression method to calculate the parameters of the multi-section cross-flow fan product based on the arithmetic mean of the measurement data. The parameters of the multi-section cross-flow fan product include the center deviation vector, the correction vector and the roundness radius; the parameters of the multi-section cross-flow fan product are calculated based on the arithmetic mean of the measurement data using the vector superposition regression method, including: converting the arithmetic mean of the measurement data of each angle into vector data by performing two-dimensional vector operations with the rotation axis as the center point, ,in, Indicates the The arithmetic mean of the measured data of the angles, Indicates the detection division; calculate the arithmetic mean of the vector, the arithmetic mean of the vector is expressed as: ,in Indicates the number of detections per rotation. , multiply the arithmetic mean of the vector by the regression coefficient to obtain the center deviation vector, which is expressed as: ,in Represents the regression coefficient; subtract the center deviation vector from the vector data of the measured point to obtain the corresponding correction vector, which is expressed as: Based on the correction vector, calculate the circle radius using the Pythagorean theorem.
Claims
1. The automatic detection system for multi-section cross-flow fan products is characterized by: It includes a rotation drive module, a rotation support module, an axial movement module, a longitudinal movement module, a size detection module, a test parameter input module, a data processing module and a test result display module; the rotation drive module and the rotation support module are respectively used to support the two ends of the multi-section cross-flow fan product to be tested, and drive the multi-section cross-flow fan product to be tested to rotate through the rotation drive module; the test parameter input module is used to input test parameters, and the test parameters include detection division; the size detection module uses a passive telescopic probe to detect the size of the multi-section cross-flow fan product to be tested according to the detection division, and the size is the distance between the detection point and the rotation axis, and is transmitted to the data processing module. Processing module; the axial movement module is used to control the size detection module to move on a line parallel to the rotation center axis of the multi-section cross-flow fan product to be tested, so that the size detection module can detect the sizes of different positions of the multi-section cross-flow fan product to be tested; the longitudinal movement module is used to control the size detection module to move in the perpendicular direction of the rotation center axis of the multi-section cross-flow fan product to be tested, so that the probe of the size detection module reaches a specified position, and the specified position is that the probe contacts the multi-section cross-flow fan product to be tested; the data processing module calculates the parameters of the multi-section cross-flow fan product based on the distance between the detected detection point and the rotation axis, and displays it through the test result display module.
2. The automatic detection system for multi-section cross-flow fan products according to claim 1 is characterized in that: The dimensions of the multi-section cross-flow fan product to be tested are detected according to the detection division, including: starting from the preset 0° point, recording a measurement data for each detection division value until the set integer circle rotation measurement is completed, and recording the angle information and the corresponding measurement data.
3. The automatic detection system for multi-section cross-flow fan products according to claim 2 is characterized in that: The parameters of the multi-section cross-flow fan product are calculated based on the distance between the detected detection point and the rotation axis, including: calculating the arithmetic average of multiple measurement data of the same angle, and calculating the parameters of the multi-section cross-flow fan product using a vector superposition regression method based on the arithmetic average of the measurement data.
4. The automatic detection system for multi-section cross-flow fan products according to claim 3 is characterized in that: The parameters of the multi-section cross-flow fan product include a center deviation vector, a correction vector, and a roundness radius; the parameters of the multi-section cross-flow fan product are calculated using a vector superposition regression method based on the arithmetic mean of the measurement data, including: converting the arithmetic mean of the measurement data of each angle into vector data by performing a two-dimensional vector operation with the rotation axis as the center point, ,in, Indicates the The arithmetic mean of the measured data of the angles, Indicates the detection division; calculate the arithmetic mean of the vector, the arithmetic mean of the vector is expressed as: ,in Indicates the number of detections per rotation. , multiply the arithmetic mean of the vector by the regression coefficient to obtain the center deviation vector, which is expressed as: ,in Represents the regression coefficient; subtract the center deviation vector from the vector data of the measured point to obtain the corresponding correction vector, which is expressed as: Based on the correction vector, calculate the circle radius using the Pythagorean theorem.
5. The automatic detection method of multi-section cross-flow fan products is characterized by: Applied to the automatic detection system for multi-section crossflow fan products according to claim 1, the method comprises the following steps: S1. Insert one end of the shaft sleeve of the multi-section cross-flow fan product to be tested into the rotating shaft of the rotary drive module, and adjust the rotary support module to support the other end of the shaft sleeve of the multi-section cross-flow fan product to be tested; S2. Set test parameters, including detection scale; S3, the axial movement module moves the size detection module to the set detection position; S4. The longitudinal movement module pushes the probe of the size detection module toward the multi-section cross-flow fan product to be tested to a specified position, where the probe contacts the multi-section cross-flow fan product to be tested; S5. The rotation drive module rotates the multi-section crossflow fan product to be tested. After the rotation speed stabilizes, the dimension detection module uses a passive telescopic probe to detect the dimension of the multi-section crossflow fan product to be tested according to the detection index. The dimension is the distance between the detection point and the rotation axis, and is transmitted to the data processing module. S6. The data processing module calculates the parameters of the multi-section cross-flow fan product based on the distance between the detected detection point and the rotation axis, and displays them through the test result display module.
6. The automatic detection method for multi-section cross-flow fan products according to claim 5 is characterized in that: In S5, the size of the multi-section cross-flow fan product to be tested is detected according to the detection division, including: starting from the preset 0° point, recording a measurement data for each detection division value until the set integer circle rotation measurement is completed, and recording the angle information and the corresponding measurement data.
7. The automatic detection method for multi-section cross-flow fan products according to claim 6 is characterized in that: In S6, the parameters of the multi-section cross-flow fan product are calculated based on the distance between the detected detection point and the rotation axis, including: calculating the arithmetic mean of multiple measurement data at the same angle, and calculating the parameters of the multi-section cross-flow fan product using a vector superposition regression method based on the arithmetic mean of the measurement data.
8. The automatic detection method for multi-section cross-flow fan products according to claim 6 is characterized in that: In S6, the parameters of the multi-section cross-flow fan product include a center deviation vector, a correction vector, and a roundness radius; the parameters of the multi-section cross-flow fan product are calculated using a vector superposition regression method based on the arithmetic mean of the measurement data, including: converting the arithmetic mean of the measurement data of each angle into vector data by performing a two-dimensional vector operation with the rotation axis as the center point, ,in, Indicates the The arithmetic mean of the measured data of the angles, Indicates the detection division; calculate the arithmetic mean of the vector, the arithmetic mean of the vector is expressed as: ,in Indicates the number of detections per rotation. , multiply the arithmetic mean of the vector by the regression coefficient to obtain the center deviation vector, which is expressed as: ,in Represents the regression coefficient; subtract the center deviation vector from the vector data of the measured point to obtain the corresponding correction vector, which is expressed as: Based on the correction vector, calculate the circle radius using the Pythagorean theorem.