Production line optimization adjustment method and system based on gear manufacturing quality detection

Abstract

The invention discloses a production line optimization adjustment method and system based on gear manufacturing quality detection, and relates to the technical field of production line optimization adjustment. Comprising the following steps: detection division: arranging a first detection mechanism and a second detection mechanism, and respectively detecting surface and internal flaws of a gear to obtain a first detection item and a second detection item; and defect classification: carrying out grade division on the gear through a division method, dividing the gear into at least two grades, and obtaining at least two gear classification items. When quality detection is carried out on the production line, the value-added items are set, different value-added items are given to gears of different grades respectively, and when the detected gears are of different grades, the operation speed of the production line is increased or reduced according to the set value-added items, so that the detection speed of the production line is increased, and when a defective gear is detected, the detection efficiency of the production line is improved. And flaws are detected more carefully in a mode of reducing the running speed of a production line.

Description

Technical Field

[0001] The present invention relates to the technical field of production line optimization and adjustment, and in particular to a production line optimization and adjustment method and system based on gear manufacturing quality detection. Background Art

[0002] A gear is a mechanical component, usually with a toothed rim, used to transmit power and change the direction of rotation. The basic function of a gear is to transmit the motion of a rotating object to another object. This process usually involves changes in speed, torque and direction. Gears are commonly found in various mechanical devices. According to the shape and purpose of the gear, gear quality inspection is an important link to ensure that the gear can work properly and meet performance requirements during use. Due to the versatility and importance of gears, the quality inspection of gears is particularly important. At present, after the gears are produced, they will be inspected through the production line. During the operation of the production line, optimization and adjustment are required. The purpose is to improve production efficiency, reduce costs and ensure product quality. Important measures to reduce the defect rate.

[0003] The production line optimization method based on the industrial large model, with patent publication number CN117590821A, first determines the target production line data through the production line data selection rules; then determines the production line detection results using the industrial large model and the target production line data; based on the production line detection results, further determines the target production line equipment, thereby using the production line data of the target production line equipment and the production line equipment associated with it to determine the optimization strategy. On the one hand, the production line detection results are first determined using the industrial large model and the initially screened production line data, and based on the production line detection results, the production line equipment that may have problems can be more accurately discovered; on the other hand, by expanding the production line equipment with problems, the optimization range of the production line can be expanded to achieve more comprehensive production line optimization. Therefore, this technical solution can achieve effective, comprehensive and accurate optimization of the production line based on the industrial large model.

[0004] In the process of gear manufacturing quality inspection using the above and similar technical solutions, since the operating speed of conventional production lines is fixed during quality inspection and is uniformly adjusted by the control equipment, when the speed of the production line is faster, some gear defects may not be fully detected, thereby affecting the results of the gear quality inspection. When the speed of the production line is slower, although the gears can be inspected more finely, the production capacity of the production line will be affected, resulting in a slower inspection rate of the production line, affecting efficiency. Therefore, the production line cannot be optimized and adjusted according to the specific quality of the gears. Summary of the invention

[0005] The object of the present invention is to provide a production line optimization adjustment method and system based on gear manufacturing quality detection to solve the problems raised in the above background technology.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solution: a production line optimization adjustment method and system based on gear manufacturing quality detection, comprising: Detection division: a first detection mechanism and a second detection mechanism are set to detect the surface and internal defects of the gear respectively, and obtain the first detection item and the second detection item; Defect classification: the gears are graded by a classification method, the gears are divided into at least two grades, at least two gear classification items are obtained, and at least four defect classification combinations are obtained based on the first detection item and the second detection item, thereby obtaining a defect combination set; Value-added assignment: Get the conveying speed of the production line, get the initial speed item, set the value-added item, based on the gear classification item, the value-added item corresponds to the gear classification item, adjust the speed of the production line based on the value-added item, and get the production optimization item; Speed ​​combination optimization: Based on the defect combination set, the speed adjustment set of the production line is obtained. The speed adjustment set includes at least one speed adjustment item. Based on the speed adjustment set, the speed of the production line is optimized and adjusted through the optimization method; The method for obtaining the production optimization item includes: Step 1: Value-added speed setting: based on the initial speed item and the value-added item, the value-added sub-item corresponding to the gear classification item is obtained, and then the value-added speed item is obtained; Step 2: speed regulation, based on the value-added speed item, the conveying speed of the production line is adjusted to obtain the adjusted speed of the production line, and then the adjusted speed item is obtained; Step 3: Repeat the adjustment. Based on the value-added speed item, repeat step 2 to optimize the adjustment speed item repeatedly. Step 4: Threshold setting: Set the speed threshold based on the initial speed item, judge the adjustment speed item, and when the adjustment speed item reaches the speed threshold, use the speed threshold as the adjustment speed item and repeat step 3.

[0007] Furthermore, the method for obtaining the value-added speed item includes: S1: The added-value value is determined, the added-value item is the target added-value, and based on the gear classification item, at least two added-value sub-items are obtained, and the added-value sub-items correspond to the gear classification items respectively; S2: initial speed item division: based on the initial speed item, a division threshold is set, and the initial speed item level is divided to obtain at least two levels of initial speed items; S3: target value-added change: based on the initial speed items of different levels, the target value-added is changed to obtain at least two value-added adjustment items, which correspond to the initial speed items respectively.

[0008] Furthermore, the method for obtaining the adjustment speed item includes: setting a change threshold and a change amount, judging the value-added speed item, and when the value-added speed item reaches the change threshold, changing and optimizing the value-added speed item based on the set change amount to obtain the speed adjustment item.

[0009] Furthermore, the setting method of the first detection mechanism includes: M1: The first detection device is installed, and at least one image acquisition device is installed directly above the conveyor belt to acquire the gear surface image; M2: Installation of fill-light equipment: at least two fill-light equipment are installed directly above the conveyor belt. The fill-light equipment is installed at an angle and is used to illuminate the gears to obtain a first detection image and then obtain a first detection item.

[0010] Furthermore, the method for setting up the first detection mechanism also includes: M3: Fill light gap adjustment, set the fill light gap, intermittently illuminate the gear with light to obtain the second detection image, and the first detection image and the second detection image are combined into the first detection item.

[0011] Furthermore, the setting method of the second detection mechanism includes: N1: The second detection device is installed, and at least one acoustic wave transmitting device is installed directly above the conveyor belt to perform acoustic wave detection on the gear to obtain the first acoustic wave item; N2: Receiving device installation: at least two sound wave receiving devices are installed directly above the conveyor belt to receive the reflected sound waves of the first sound wave item, obtain the sound wave feedback item, and then obtain the second detection item.

[0012] Furthermore, the method for setting up the second detection mechanism also includes: N3: Acoustic wave adjustment, dividing the first acoustic wave item into at least two levels to obtain at least two acoustic wave level items, performing acoustic wave detection on the gears in turn based on different acoustic wave level items to obtain an acoustic wave detection set, and then obtaining a second detection item.

[0013] Furthermore, the division method includes: X1: Surface image acquisition, based on the first detection item, the gear surface size is acquired to obtain the surface range item; X2: Surface division threshold setting: Based on the surface range item, the level is divided according to the first division threshold to obtain at least two gear surface defect levels.

[0014] Furthermore, the classification method also includes: X3: internal classification threshold setting, based on the surface range item, the level is divided according to the second classification threshold to obtain at least two gear internal defect levels.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The production line optimization and adjustment method and system based on gear manufacturing quality inspection divides defective gears into at least two levels through a division method. At this time, there will be at least two levels of gears. When quality inspection is carried out on the production line, value-added items are set, and different value-added items are assigned to gears of different levels. When the detected gears are of different levels, the operation rate of the production line is increased or reduced according to the set value-added items. Thereby, the inspection rate of the production line is improved, and when defective gears are detected, the defects can be more carefully inspected by reducing the operation rate of the production line.

[0016] At the same time, a first detection item and a second detection item are set, the first detection item is used to detect surface defects of gears, and the second detection item is used to detect internal defects of gears. When the detection results of surface defects and internal defects are consistent, the double value-added item is taken to optimize and adjust the operating speed of the production line. When the detection results of surface defects and internal defects are inconsistent, the average value-added item of the detection results of surface defects and internal defects is taken to optimize and adjust the operating speed of the production line, so that the optimization and adjustment of the operating speed of the production line is more accurate.

[0017] Moreover, by setting the change threshold as the number threshold, when the continuously detected gears have defects of the same level, the number threshold is used as the limit and the change amount is used as the increment to assist in adjusting the conveying speed of the production line until the speed threshold is reached, thereby assisting in adjusting the speed of the production line. This can assist in optimizing the speed of the production line when increasing or decreasing the speed of the production line. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram of the relationship between detection division, defect classification, value-added assignment and speed combination optimization of the present invention; Figure 2 This is a flow chart of a method for obtaining production optimization items of the present invention; Figure 3 A schematic diagram of the arrangement method of the first detection mechanism of the present invention; Figure 4 It is a schematic diagram of the setting method of the second detection mechanism of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] When the gears are being transported and inspected on the production line, the running speed of the production line is mostly stable. When the speed of the production line needs to be adjusted, the staff will make a unified adjustment through the control equipment. During the adjustment process, when the speed of the production line is fast, the defects cannot be accurately detected. When the speed of the production line is slow, it will affect the work efficiency. Since defective gears will be mixed among normal gears, the speed of the production line cannot be adjusted according to whether the gears are defective. The technical solution provided by the present application divides the defective gears into at least two levels through a division method. At this time, there will be at least two levels of gears. When quality inspection is carried out on the production line, value-added items are set, and different value-added items are assigned to gears of different levels. When the detected gears When it is at different levels, the running speed of the production line is increased or decreased according to the set value-added items, so that while the detection speed of the production line is increased, when a defective gear is detected, the defect is more carefully detected by reducing the running speed of the production line. The first detection item and the second detection item are set. The first detection item is used to detect the surface defects of the gear, and the second detection item is used to detect the internal defects of the gear. When the detection results of the surface defects and the internal defects are consistent, the double value-added item is taken to optimize the running speed of the production line. When the detection results of the surface defects and the internal defects are inconsistent, the average value-added item of the detection results of the surface defects and the internal defects is taken to optimize the running speed of the production line, so that the optimization and adjustment of the running speed of the production line is more accurate.

[0021] like Figure 1-Figure 2As shown, the present invention provides a technical solution: a production line optimization and adjustment method and system based on gear manufacturing quality inspection, including: inspection division: setting a first inspection mechanism and a second inspection mechanism, respectively inspecting the surface and internal defects of the gear to obtain a first inspection item and a second inspection item; defect classification: dividing the gears into grades by a division method, dividing the gears into at least two grades, obtaining at least two gear classification items, and obtaining at least four defect classification combinations based on the first inspection item and the second inspection item to obtain a defect combination set; value-added assignment: obtaining the conveying speed of the production line to obtain an initial speed item, setting a value-added item, based on the gear classification item, the value-added item corresponds to the gear classification item, and adjusting the speed of the production line based on the value-added item to obtain a production optimization item; speed combination optimization: obtaining a production combination set based on the defect combination set A speed adjustment set for a production line, wherein the speed adjustment set includes at least one speed adjustment item. Based on the speed adjustment set, the speed of the production line is optimized and adjusted by an optimization method. A method for obtaining the production optimization item includes: step one: value-added speed setting, based on the initial speed item and the value-added item, a value-added sub-item corresponding to the gear classification item is obtained, and then the value-added speed item is obtained; step two: speed adjustment, based on the value-added speed item, the conveying speed of the production line is adjusted to obtain the adjusted speed of the production line, and then the adjustment speed item is obtained; step three: repeated adjustment, based on the value-added speed item, step two is repeated to repeatedly optimize and adjust the adjustment speed item; step four: threshold setting, a speed threshold is set based on the initial speed item, and the adjustment speed item is judged. When the adjustment speed item reaches the speed threshold, the speed threshold is used as the adjustment speed item, and step three is repeated.

[0022] It should be noted that the first detection mechanism and the second detection mechanism detect the surface defects and internal defects of the gears respectively. When the gear defects are graded by the classification method, the gears are divided into three grades, namely, no defects, slight defects and severe defects. At this time, three gear classification items are obtained. Since the first detection item and the second detection item are both divided into three gear classification items, there are a total of nine defect classification combinations. The conveying speed of the production line is obtained, and the value-added items are set. Since the gears are divided into three grades, there are also three value-added items, namely, 1%, -1%, and -2%, which correspond to no defects, slight defects and severe defects respectively. When detecting the defects of the gears, when the detected defects are at the corresponding level, the speed of the production line is optimized and adjusted through the value-added items. When optimizing the speed of the production line, the speed threshold is set based on the initial speed, and the speed threshold is ±150% of the initial speed.

[0023] In the specific implementation process, it is obtained that the running speed of a gear quality inspection production line is 5m / s. The first inspection mechanism and the second inspection mechanism detect that the surface defect of the first gear is flawless and the internal defect is flawless. At this time, the speed of the production line is adjusted to +1%+1%. That is, when the first gear passes through the first inspection mechanism and the second inspection mechanism, the running speed of the production line is increased to 5.10m / s. When the surface defect of the second gear is detected to be flawless and the internal defect is flawless, the speed of the production line is increased to 5.20m / s. When the surface defect of the third gear is detected to be flawless, the speed of the production line is increased to 5.60m / s. When there is no defect and the internal defect is a slight defect, the speed of the production line is adjusted to +1%-1% and the speed of the production line remains unchanged. When the surface defect of the fourth gear is detected as a slight defect and the internal defect is a slight defect, the speed of the production line is adjusted to -1%-1% and the speed of the production line is reduced to 5.10m / s, thereby realizing the automatic adjustment effect of the production line speed. When a defective gear is detected, the speed of the production line is reduced to prevent the appearance of the next defective gear, which greatly improves the accurate detection effect of gear defects, thereby realizing the automatic optimization and adjustment effect of the production line.

[0024] The method for obtaining the value-added speed item includes: S1: determining the value-added value, the value-added item is the target value-added, based on the gear classification item, at least two value-added sub-items are obtained, and the value-added sub-items correspond to the gear classification items respectively; S2: initial speed item division, based on the initial speed item, setting a division threshold, dividing the initial speed item level, and obtaining at least two levels of initial speed items; S3: target value-added change, based on different levels of initial speed items, changing the target value-added, and obtaining at least two value-added adjustment items, and the value-added adjustment items correspond to the initial speed items respectively.

[0025] It should be noted that the initial speed is divided into three levels, namely low speed, medium speed and high speed. The corresponding thresholds of the three levels are 0-3m / s, 3-6m / s and 6-10m / s respectively. The target value-added is changed according to the three levels. The target value-added for low speed is 0.5%, the target value-added for medium speed is 1%, and the target value-added for high speed is 1.5%.

[0026] In the specific implementation process, it is obtained that the operating speed of a gear quality inspection production line is 8m / s. The first inspection mechanism and the second inspection mechanism detect that the surface defect of the first gear is flawless, and the internal defect is flawless. At this time, the speed of the production line is adjusted to +1.5%+1.5%, that is, when the first gear passes through the first inspection mechanism and the second inspection mechanism, the operating speed of the production line is increased to 8.24m / s. When it is detected that the surface defect of the second gear is flawless and the internal defect is flawless, the speed of the production line is increased to 8.48m / s. When it is detected that the surface defect of the third gear is flawless and the internal defect is a slight defect, the speed of the production line is adjusted to +1.5%-1.5%, and the speed of the production line remains unchanged. When it is detected that the surface defect of the fourth gear is a slight defect and the internal defect is a slight defect, the speed of the production line is adjusted to -1.5%-1.5%, and the speed of the production line is reduced to 8.24m / s.

[0027] The method for obtaining the adjustment speed item includes: setting a change threshold and a change amount, judging the value-added speed item, and when the value-added speed item reaches the change threshold, changing and optimizing the value-added speed item based on the set change amount to obtain the speed adjustment item.

[0028] It should be noted that the set change threshold is the number threshold, and the number threshold is 10 times, and the change amount is 0.5%. When the gear is tested, when the test results are consistent for 10 consecutive times, the value-added speed item is optimized by the set change amount.

[0029] In the specific implementation process, it is obtained that the operating speed of a gear quality inspection production line is 8m / s. The first inspection mechanism and the second inspection mechanism detect that the surface defect of the first gear is flawless and the internal defect is flawless. At this time, the speed of the production line is adjusted to +1.5%+1.5%, and the operating speed of the production line is increased to 8.24m / s. When the surface defect of the tenth gear is detected to be flawless and the internal defect is flawless, the speed of the production line is increased to 10.4m / s. When the surface defect of the eleventh gear is detected to be flawless and the internal defect is flawless, the speed of the production line is adjusted to +1.5%+1.5% and the change amount is increased by 0.5%, that is, the speed of the production line is 10.68m / s. By analogy, when the continuously detected gears are flawless, the conveying speed of the production line is adjusted with the number threshold as the limit and the change amount as the increment until the speed threshold is reached, thereby assisting in adjusting the speed of the production line.

[0030] In the specific implementation process, it is obtained that the operating speed of a gear quality inspection production line is 8m / s. The first inspection mechanism and the second inspection mechanism detect that the surface defect of the first gear is a slight defect, and the internal defect is a slight defect. At this time, the speed of the production line is adjusted to -1.5%-1.5%, and the operating speed of the production line is reduced to 7.76m / s. When the surface defect of the tenth gear is detected as a slight defect, and the internal defect is a slight defect, the speed of the production line is reduced to 5.6m / s. When the surface defect of the eleventh gear is detected as a slight defect, and the internal defect is a slight defect, the speed of the production line is adjusted to -1.5%-1.5% and the change amount is increased by 0.5%, that is, the speed of the production line is 5.32m / s. By analogy, when the continuously detected gears are all slight defects, the conveying speed of the production line is adjusted with the number threshold as the limit and the change amount as the increment until the speed threshold is reached.

[0031] like Figure 3 As shown, the setting method of the first detection mechanism includes: M1: installation of the first detection device, installing at least one image acquisition device directly above the conveyor belt, for acquiring the surface image of the gear; M2: installation of the fill light device, installing at least two fill light devices directly above the conveyor belt, the fill light devices are installed at an angle, for irradiating light on the gear, obtaining the first detection image, and then obtaining the first detection item.

[0032] It should be noted that two image acquisition devices are installed directly above the conveyor belt. They are high-definition cameras used to acquire images of the gear surface. Four fill-in-light devices are also installed. All of the fill-in-light devices are installed at an angle to provide fill-in light around the gears.

[0033] The setting method of the first detection mechanism also includes: M3: fill light gap adjustment, setting the fill light gap, intermittently irradiating the gear with light to obtain a second detection image, and merging the first detection image and the second detection image into a first detection item.

[0034] It should be noted that the fill light gap is set, and the fill light gap is the same as the initial speed item. When the gear passes through the first detection mechanism, fill light is performed. At this time, the second detection image obtained is the image after fill light. After the fill light is completed, the first detection image is the image without fill light. By comparing the two images, the result of the first detection item is more accurate.

[0035] like Figure 4As shown, the setting method of the second detection mechanism includes: N1: installation of the second detection device, installing at least one sound wave transmitting device directly above the conveyor belt, for performing sound wave detection on the gear to obtain a first sound wave item; N2: installation of the receiving device, installing at least two sound wave receiving devices directly above the conveyor belt, for receiving the reflected sound waves of the first sound wave item, obtaining a sound wave feedback item, and then obtaining a second detection item.

[0036] It should be noted that two sound wave emitting devices are installed directly above the conveyor belt. They are ultrasonic detectors, which perform ultrasonic detection on defects inside the gears.

[0037] The setting method of the second detection mechanism also includes: N3: sound wave adjustment, dividing the first sound wave item into at least two levels, obtaining at least two sound wave level items, performing sound wave detection on the gears in turn based on different sound wave level items, obtaining a sound wave detection set, and then obtaining a second detection item.

[0038] It should be noted that the frequency of sound waves is divided into levels, namely low frequency level, medium frequency level, and high frequency level, and the frequency ranges are 0.1MHz-1MHz, 1MHz-5MHz, and 5MHz-10MHz respectively. At this time, the sound wave detection set contains three different levels of sound wave detection results, and the second detection item obtained is more accurate.

[0039] The division method includes: X1: surface image acquisition, based on the first detection item, the gear surface size is acquired to obtain the surface range item; X2: surface division threshold setting, based on the surface range item, the level is divided according to the first division threshold to obtain at least two gear surface defect levels.

[0040] It should be noted that the gears are classified into grades according to their surface area: flawless, slight flaws, and severe flaws. Flawless means surface flaws occupy less than 1% of the total surface area; slight flaws mean surface flaws occupy 1%-5% of the total surface area; severe flaws mean surface flaws occupy 5%-10% of the total surface area.

[0041] The classification method also includes: X3: setting an internal classification threshold, based on the surface range item, and performing grade classification according to a second classification threshold to obtain at least two gear internal defect grades.

[0042] It should be noted that the gears are classified into grades according to their surface area. Flawless, slightly flawed, and severely flawed gears mean that internal flaws occupy less than 1% of the total volume, internal flaws occupy 1%-5% of the total volume, and internal flaws occupy 5%-10% of the total volume, respectively.

[0043] In the specific implementation process, the surface area of ​​a gear is 1000cm² and the volume is 500cm³. A surface defect of 10cm² is found during the inspection. At this time, the surface defect ratio is calculated: The proportion of surface defects to the total surface area = (10cm² / 1000cm²) × 100% = 1%; Classification result: Because the surface defects account for 1%, the surface defects of the gear are classified as minor defects; During the inspection, an internal defect of 3cm³ was found. The internal defect ratio is calculated as follows: The proportion of internal defects to the total volume = (3cm³ / 500cm³) × 100% = 0.6%; Classification result: Because the internal defects account for 0.6%, the internal defects of the gear are classified as flawless.

[0044] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is limited by the attached embodiments and their equivalents.

Claims

1. A production line optimization and adjustment method based on gear manufacturing quality detection, characterized in that: include: Detection division: a first detection mechanism and a second detection mechanism are set to detect the surface and internal defects of the gear respectively, and obtain the first detection item and the second detection item; Defect classification: the gears are graded by a classification method, the gears are divided into at least two grades, at least two gear classification items are obtained, and at least four defect classification combinations are obtained based on the first detection item and the second detection item, thereby obtaining a defect combination set; Value-added assignment: Get the conveying speed of the production line, get the initial speed item, set the value-added item, based on the gear classification item, the value-added item corresponds to the gear classification item, adjust the speed of the production line based on the value-added item, and get the production optimization item; Speed ​​combination optimization: Based on the defect combination set, the speed adjustment set of the production line is obtained. The speed adjustment set includes at least one speed adjustment item. Based on the speed adjustment set, the speed of the production line is optimized and adjusted through the optimization method; The method for obtaining the production optimization item includes: Step 1: Value-added speed setting: based on the initial speed item and the value-added item, the value-added sub-item corresponding to the gear classification item is obtained, and then the value-added speed item is obtained; Step 2: speed regulation, based on the value-added speed item, the conveying speed of the production line is adjusted to obtain the adjusted speed of the production line, and then the adjusted speed item is obtained; Step 3: Repeat the adjustment. Based on the value-added speed item, repeat step 2 to optimize the adjustment speed item repeatedly. Step 4: Threshold setting: Set the speed threshold based on the initial speed item, judge the adjustment speed item, and when the adjustment speed item reaches the speed threshold, use the speed threshold as the adjustment speed item and repeat step 3.

2. The production line optimization and adjustment method based on gear manufacturing quality detection according to claim 1 is characterized in that: The method for obtaining the value-added speed item includes: S1: The added-value value is determined, the added-value item is the target added-value, and based on the gear classification item, at least two added-value sub-items are obtained, and the added-value sub-items correspond to the gear classification items respectively; S2: initial speed item division: based on the initial speed item, a division threshold is set, and the initial speed item level is divided to obtain at least two levels of initial speed items; S3: target value-added change: based on the initial speed items of different levels, the target value-added is changed to obtain at least two value-added adjustment items, which correspond to the initial speed items respectively.

3. The production line optimization and adjustment method based on gear manufacturing quality detection according to claim 1 is characterized in that: The method for obtaining the adjustment speed item includes: setting a change threshold and a change amount, judging the value-added speed item, and when the value-added speed item reaches the change threshold, changing and optimizing the value-added speed item based on the set change amount to obtain the speed adjustment item.

4. The production line optimization and adjustment method based on gear manufacturing quality detection according to claim 1 is characterized in that: The method for setting the first detection mechanism includes: M1: The first detection device is installed, and at least one image acquisition device is installed directly above the conveyor belt to acquire the gear surface image; M2: Installation of fill-light equipment: at least two fill-light equipment are installed directly above the conveyor belt. The fill-light equipment is installed at an angle and is used to illuminate the gears to obtain a first detection image and then obtain a first detection item.

5. The production line optimization and adjustment method based on gear manufacturing quality inspection according to claim 4 is characterized in that: The method for setting the first detection mechanism also includes: M3: Fill light gap adjustment, set the fill light gap, intermittently illuminate the gear with light to obtain the second detection image, and the first detection image and the second detection image are combined into the first detection item.

6. The production line optimization and adjustment method based on gear manufacturing quality inspection according to claim 1 is characterized by: The method for setting up the second detection mechanism includes: N1: The second detection device is installed, and at least one acoustic wave transmitting device is installed directly above the conveyor belt to perform acoustic wave detection on the gear to obtain the first acoustic wave item; N2: Receiving device installation: at least two sound wave receiving devices are installed directly above the conveyor belt to receive the reflected sound waves of the first sound wave item, obtain the sound wave feedback item, and then obtain the second detection item.

7. The production line optimization and adjustment method based on gear manufacturing quality detection according to claim 6 is characterized by: The method for setting up the second detection mechanism also includes: N3: Acoustic wave adjustment, dividing the first acoustic wave item into at least two levels to obtain at least two acoustic wave level items, performing acoustic wave detection on the gears in turn based on different acoustic wave level items to obtain an acoustic wave detection set, and then obtaining a second detection item.

8. The production line optimization and adjustment method based on gear manufacturing quality inspection according to claim 1 is characterized by: The division method comprises: X1: Surface image acquisition, based on the first detection item, the gear surface size is acquired to obtain the surface range item; X2: Surface division threshold setting: Based on the surface range item, the level is divided according to the first division threshold to obtain at least two gear surface defect levels.

9. The production line optimization and adjustment method based on gear manufacturing quality inspection according to claim 8 is characterized in that: The classification method also includes: X3: setting an internal classification threshold, based on the surface range item, dividing the levels according to the second classification threshold, and obtaining at least two gear internal defect levels.

10. A production line optimization and adjustment system based on gear manufacturing quality inspection, characterized in that: A production line optimization and adjustment method based on gear manufacturing quality detection as described in any one of claims 1 to 9 is used.

Images