CN109433652B - Feeding operation control method of inductance detection equipment - Google Patents

Abstract

The invention discloses a feeding operation control method of an inductance detection device. The detection device has a basic detection position and at least two key detection positions, and any key detection positions are different. The sorting mechanism includes a waste sorting position, Good product sorting machine and recycling sorting machine, this method can directly trigger the classification of waste and good products according to the detection status of any basic detection machine, and can also judge and trigger waste, good and recycled products according to the detection status of key detection machines. Classification. The invention adopts the encoder to realize accurate sorting, and prevents errors and omissions in sorting. Through the comprehensive inspection of key inspection surfaces, it has the characteristics of refined classification and sorting. In addition to the classification of waste products and good products, it also has the classification of sub-quality products and multi-level defective products, which is easy to classify and repair defects, which reduces the rejection rate and repair difficulty. ,save resources. The setting of the upper and lower thresholds is easy to refine the specific implementation of classification and sorting, and is suitable for popularization and application.

Description

Feeding operation control method of inductance detection equipment

technical field

The invention relates to an inductance detection, in particular to a method for controlling the feeding operation of an inductance detection device, and belongs to the technical field of inductance detection and control methods.

Background technique

An inductor is a component that can convert electrical energy into magnetic energy and store it. The structure of an inductor is similar to that of a transformer, but with only one winding. An inductor has a certain inductance, it only resists changes in current flow. If the inductor has no current flowing through it, it will try to block the flow of current through it when the circuit is on; if the inductor has current flowing through it, it will try to maintain the current flow when the circuit is off. Inductors are also called chokes, reactors, and dynamic reactors.

Inductors are generally composed of skeletons, windings, shielding covers, packaging materials, magnetic cores or iron cores, etc. After the general packaging inductors are formed, they need to be tested by testing equipment for surface damage, cracks, rust spots, exposed copper, and dimensions. Screen out bad products.

Due to the small size of the inductor, its surface defects are difficult to identify by the human eye, and it needs to be detected with optical equipment. At present, the combination of CCD camera and LED light source is basically used for visual identification. A CCD camera is set up for each of the six sides of the inductor to compare and analyze the data after taking pictures, and to detect the surface defects of the inductor.

However, the traditional single-sided single CCD camera is difficult to detect more comprehensive data, and there is a problem of poor detection accuracy, resulting in blurred sorting of good and bad products, resulting in wrong classification of good products, resulting in waste of resources, and even more There will be errors in the classification of defective products, which will affect the use of inductive equipment.

SUMMARY OF THE INVENTION

The purpose of the present invention is to solve the above-mentioned deficiencies of the prior art. In view of the problems of poor detection accuracy of traditional inductance and simple operation control, a method for controlling the feeding operation of inductance detection equipment is proposed.

In order to achieve the above object, the technical scheme adopted in the present invention is:

A method for controlling the feeding operation of an inductance detection device, the inductance detection device includes a detection mechanism, a sorting mechanism, an intelligent identification mechanism, and a code for issuing a trigger pulse to control the operation of the detection mechanism and the sorting mechanism according to the identification information of the intelligent identification mechanism device,

The inductor includes six detection surfaces, of which at least one surface is a key detection surface, and the rest are ordinary surfaces.

The detection mechanism is provided with a basic detection position corresponding to the common surface and at least two key detection positions for detecting the key detection surface, and there are black and white, color differences or light source illumination between any key detection positions. angle difference,

The sorting mechanism includes a waste sorting machine position, a good product sorting machine position, and a recycling sorting machine position.

The intelligent identification mechanism directly triggers the trigger pulse of the waste sorting machine or the good sorting machine according to the detection status of any basic detection machine.

The intelligent identification mechanism triggers any trigger pulse in the waste sorting machine, the good product sorting machine and the recycling sorting machine according to the detection status of all the key detection machines.

Preferably, the key detection positions include a basic color detection position, a supplementary black and white detection position, and a supplementary color detection position,

The data collected by the basic color inspection machine includes the area inspection data of the key surface, the outer edge damage area data, the rust surface area data, the crack area data, the bump area data, and the exposed copper area data.

The data collected by the black-and-white inspection station includes the total length data of the outer circumference dimension of the key surface, the total length data of the outer edge damage contour line, the total length data of the crack contour line, and the total length data of the concave and convex surface.

The data collected by the supplementary color inspection machine includes the outer edge damage depth data, the crack depth data, the concave and convex surface undulation data, the exposed copper protrusion data,

The intelligent identification mechanism has upper and lower thresholds for any single item of data,

The intelligent identification mechanism compares all the single item data with the upper threshold and the lower threshold, comprehensively distinguishes and sorts categories, and sends out corresponding trigger pulses.

Preferably, when the intelligent identification mechanism identifies that any single item of data exceeds the upper limit threshold, the trigger pulse of the waste sorting machine is triggered;

When the intelligent identification mechanism recognizes that all single item data are lower than the lower threshold, trigger the trigger pulse of the good sorting machine;

When the intelligent identification mechanism recognizes that all single item data are lower than the upper threshold and some are higher than the lower threshold, the trigger pulse of the recycling sorting machine is triggered.

Preferably, the recycling and sorting machine station includes at least three grading and sorting mechanisms with different detection accuracy requirements.

Preferably, the recycling and sorting machine station includes a primary sorting mechanism, a secondary sorting mechanism and a tertiary sorting mechanism,

When the intelligent identification mechanism recognizes that all individual data are lower than the upper limit threshold, and the rust surface area data, exposed copper area data, total length data of crack outline, outer edge damage depth data, crack depth data, and uneven surface undulation data are all lower than the lower limit When the threshold value is reached, the trigger pulse of the primary sorting mechanism is triggered,

When the intelligent identification mechanism recognizes that all single data are lower than the upper threshold, and some of the rust surface area data, exposed copper area data, total length data of crack outline, outer edge damage depth data, crack depth data, and uneven surface undulation data are lower than the upper threshold When the lower threshold is reached, the trigger pulse of the secondary sorting mechanism is triggered,

When the intelligent identification mechanism recognizes that all individual data are lower than the upper threshold, and the rust surface area data, exposed copper area data, total length of crack outline, outer edge damage depth data, crack depth data, and uneven surface undulation data are all higher than the lower limit When the threshold is reached, the trigger pulse of the three-stage sorting mechanism is triggered.

The beneficial effects of the present invention are mainly reflected in:

1. The encoder is used to achieve accurate sorting to prevent errors and omissions in sorting.

2. Through the comprehensive inspection of key inspection surfaces, it has the characteristics of refined classification and sorting. In addition to the classification of waste and good products, it also has the classification of sub-quality products and multi-level defective products, which is easy to classify and repair defects, reducing the rate of rejects and Repair difficulty and save resources.

3. The setting of the upper and lower thresholds is easy to refine the specific implementation of classification and sorting, and is suitable for popularization and application.

Detailed ways

The invention provides a method for controlling the feeding operation of an inductance detection device. The technical solutions of the present invention are described in detail below to make it easier to understand and grasp.

A method for controlling the feeding operation of an inductance detection device includes a detection mechanism, a sorting mechanism, an intelligent identification mechanism, and an encoder for issuing trigger pulses according to the identification information of the intelligent identification mechanism to control the operation of the detection mechanism and the sorting mechanism.

The triggering of each camera position by the pulse signal of the encoder belongs to the prior art, and details are not repeated here.

The inductor includes six detection surfaces, of which at least one surface is the key detection surface, and the rest are ordinary surfaces.

The detection mechanism is equipped with a basic detection position corresponding to the common surface and at least two key detection positions for detecting the key detection surface, and there is a difference in black and white, color, or illumination angle of the light source between any key detection positions. .

The basic detection position is used for one-vote affirmation or one-vote veto of common side.

The black-and-white and color difference refers to the difference between the color camera and the black-and-white camera that focus on detecting the camera.

The difference in the illumination angle of the light source refers to the difference in the illumination angle of the LED light source matched with the key detection camera.

The sorting mechanism includes a waste sorting machine, a good product sorting machine, and a recycling sorting machine, that is, in addition to the waste sorting machine and the good product sorting machine, there is also a recycling sorting machine for collecting recyclable products. bit.

The intelligent identification mechanism directly triggers the trigger pulse of the waste sorting machine or the good product sorting machine according to the detection state of any basic detection machine. That is, the basic inspection machine directly judges whether the ordinary surface is qualified or unqualified.

The intelligent identification mechanism triggers any trigger pulse in the waste sorting machine, the good sorting machine and the recycling sorting machine according to the detection status of all the key detection machines. According to the detection data of each key detection camera, complement each other, so as to classify and sort more accurately and finely.

In the specific embodiment of this case, the key inspection positions include basic color inspection positions, supplementary black and white inspection positions, and supplementary color inspection positions.

Among them, the data collected by the basic color detection camera includes the area detection data of the key surface, the outer edge damage area data, the rust surface area data, the crack area data, the concave and convex area data, and the exposed copper area data.

The data collected by the supplementary black-and-white inspection camera includes the total length data of the outer circumference dimension contour line of the key surface, the total length data of the outer edge damage contour line, the total length data of the crack contour line, and the total length data of the concave and convex surface.

The data collected by the supplementary color inspection camera includes the outer edge damage depth data, the crack depth data, the uneven surface undulation data, and the exposed copper bump data.

The intelligent identification mechanism has upper and lower thresholds for any single item of data. The upper threshold refers to the maximum allowable value of the single item of data, and the lower threshold refers to the normal allowable value of the single item of data.

Taking the area detection data as an example, in general six-camera detection, the area detection data is single detection data, assuming it is set to 10 units, that is, once the detected area detection data is higher than 10 units, the inductance is directly determined. Failed. However, in this case, the set upper limit threshold is greater than the unique set standard of the prior art, and the lower limit threshold value is equal to or slightly smaller than the unique set standard of the prior art.

With this design, it can be classified more finely. For example, when the area detection data is greater than the upper limit threshold, it must be a defective product, because it exceeds the traditional unique set standard more. However, when the area detection data is less than the upper limit threshold and slightly larger than the traditional unique setting standard, it is not necessarily unusable, because the requirements of each device on the inductance are not uniform, and this type of inductance can be screened out as an inductance with a slightly lower accuracy. Be applicable.

The intelligent identification mechanism compares all single item data with the upper threshold and lower threshold, comprehensively distinguishes the sorting categories, and sends out corresponding trigger pulses.

When performing specific sorting:

When the intelligent identification mechanism recognizes that any single item of data exceeds the upper limit threshold, the trigger pulse of the waste sorting machine is triggered;

When the intelligent identification mechanism recognizes that all single item data are lower than the lower threshold, trigger the trigger pulse of the good sorting machine;

When the intelligent identification mechanism recognizes that all single item data are lower than the upper threshold and some are higher than the lower threshold, the trigger pulse of the recycling sorting machine is triggered.

With this design, there are products that can be directly applied or can be repaired twice for the inductance between the upper threshold and the lower threshold.

It should be noted that the amount of traditional detection data is small, and the setting of the effective upper limit threshold cannot be realized.

Specifically, taking a crack as an example, the traditional detection data only includes crack area data and crack depth data, but cannot detect the total length data of the crack outline. That is, it can only be screened by setting a unique set standard with a small tolerance. Many products with crack area data and crack depth data slightly larger than the standard are directly judged to be unqualified. In this case, the limitation of the total length of the crack contour is added. When the crack area data and the crack depth data are slightly larger than the standard product, the total length of the crack contour is also detected. The combination of the three can reduce the standard of individual data.

In a preferred embodiment of this case, the recycling and sorting machine includes at least three grading and sorting mechanisms with different detection accuracy requirements, and defective products can be sorted through the grading and sorting mechanism.

Specifically, the recycling sorting machine station includes a primary sorting mechanism, a secondary sorting mechanism and a tertiary sorting mechanism.

When the intelligent identification mechanism recognizes that all individual data are lower than the upper limit threshold, and the rust surface area data, exposed copper area data, total length data of crack outline, outer edge damage depth data, crack depth data, and uneven surface undulation data are all lower than the lower limit When the threshold is reached, the trigger pulse of the primary sorting mechanism is triggered.

The inductance sorted by the primary sorting mechanism is a sub-quality product that is different from the good product, and it can be directly used on equipment with low precision requirements. Sold directly as a substandard product.

When the intelligent identification mechanism recognizes that all single data are lower than the upper threshold, and some of the rust surface area data, exposed copper area data, total length data of crack outline, outer edge damage depth data, crack depth data, and uneven surface undulation data are lower than the upper threshold When the lower threshold is reached, the trigger pulse of the secondary sorting mechanism is triggered.

The inductors sorted by the secondary sorting mechanism belong to the inductors that can be processed to eliminate defects, and the secondary processing cost of such inductors is low.

When the intelligent identification mechanism recognizes that all individual data are lower than the upper threshold, and the rust surface area data, exposed copper area data, total length of crack outline, outer edge damage depth data, crack depth data, and uneven surface undulation data are all higher than the lower limit When the threshold is reached, the trigger pulse of the three-stage sorting mechanism is triggered.

The inductors sorted by the three-stage sorting mechanism are also inductances that can be processed to eliminate defects, but the secondary processing cost of such inductors is relatively high, even exceeding the cost of direct production of inductors.

A detailed description of the above sorting principle:

In inductance testing, the rusted surface area data, exposed copper area data, total length of crack outline, outer edge damage depth data, crack depth data, and uneven surface undulation data are the most important parameters in surface damage and are more difficult to repair. The lower threshold of the above parameters is the limit, which is directly related to the difficulty and cost of secondary processing of defective inductors. After classification and refinement, direct sales of inferior products and classification of secondary processing complexity can be realized.

From the above description, it can be found that the method for controlling the feeding operation of the inductance detection device of the present invention adopts an encoder to realize precise sorting, and prevents errors and omissions in sorting. Through the comprehensive inspection of key inspection surfaces, it has the characteristics of refined classification and sorting. In addition to the classification of waste products and good products, it also has the classification of sub-quality products and multi-level defective products, which is easy to classify and repair defects, which reduces the rejection rate and repair difficulty. ,save resources. The setting of the upper and lower thresholds is easy to refine the specific implementation of classification and sorting, and is suitable for popularization and application.

The technical solutions of the present invention have been fully described above. It should be noted that the specific embodiments of the present invention are not limited by the above descriptions. Those of ordinary skill in the art can rely on the spirit of the present invention in terms of structures, methods or functions. All technical solutions formed by using equivalent transformations or equivalent transformations fall within the protection scope of the present invention.

Claims (4)

1. The feeding operation control method of the inductance detection equipment comprises a detection mechanism, a sorting mechanism, an intelligent identification mechanism and an encoder for sending trigger pulses to control the detection mechanism and the sorting mechanism to operate according to the identification information of the intelligent identification mechanism,

the method is characterized in that:

the inductor comprises six detection surfaces, wherein at least one surface is a key detection surface, and the rest surfaces are common surfaces,

the detection mechanism is provided with a basic detection machine position which is in one-to-one correspondence with the common surface and at least two key detection machine positions for detecting key detection surfaces, and any key detection machine position has black and white difference, color difference or lamp source illumination angle difference,

the sorting mechanism comprises a waste sorting machine position, a good product sorting machine position and a recycling sorting machine position,

the intelligent recognition mechanism directly triggers the trigger pulse of the waste sorting machine or the good sorting machine according to the detection state of any basic detection machine,

the intelligent identification mechanism judges any trigger pulse of the waste sorting machine, the good sorting machine and the recycling sorting machine according to the detection state of all the key detection machines,

the key detection machine position comprises a basic color detection machine position, a supplementary black and white detection machine position and a supplementary color detection machine position,

the data collected by the basic color detection machine position comprises area detection data of a gravity point surface, outer edge damage area data, rusty surface area data, crack area data, concave-convex area data and copper exposure area data,

the data collected by the black and white supplementing detection machine position comprises the total length data of the contour line of the peripheral dimension of the gravity surface, the total length data of the damaged contour line of the outer edge, the total length data of the crack contour line and the total length data of the contour line of the concave-convex surface,

the acquired data of the supplementary color detecting machine position comprises outer edge damage depth data, crack depth data, concave-convex surface fluctuation data and copper exposure protrusion data,

the intelligent identification mechanism is provided with an upper threshold and a lower threshold for any single data,

the intelligent identification mechanism comprehensively distinguishes sorting categories by comparing all the single data with an upper limit threshold and a lower limit threshold, so that corresponding trigger pulses are sent out.

2. The feeding operation control method of the inductance detecting equipment according to claim 1, characterized in that:

when the intelligent identification mechanism identifies that any single data exceeds the upper limit threshold value, triggering pulse of the waste sorting machine position;

when the intelligent identification mechanism identifies that all the single data are lower than the lower threshold value, triggering pulse of the good product sorting machine position;

and when the intelligent identification mechanism identifies that all the single data are lower than the upper limit threshold value and part of the single data are higher than the lower limit value, triggering and recovering the trigger pulse of the sorting machine.

3. The feeding operation control method of the inductance detecting equipment according to claim 2, characterized in that:

the recycling sorting machine comprises at least three grading sorting mechanisms for detecting the phase difference of the precision requirements.

4. The feeding operation control method of the inductance detecting equipment according to claim 3, characterized in that:

the recycling sorting machine comprises a first-stage sorting mechanism, a second-stage sorting mechanism and a third-stage sorting mechanism,

when the intelligent recognition mechanism recognizes that all the single data are lower than the upper limit threshold value and all the rusty surface area data, the copper exposure area data, the crack contour line total length data, the outer edge damage depth data, the crack depth data and the concave-convex surface fluctuation data are lower than the lower limit threshold value, triggering pulse of the primary sorting mechanism,

when the intelligent recognition mechanism recognizes that all the single data are lower than the upper limit threshold value and the parts of the rusty surface area data, the copper exposure area data, the crack contour line total length data, the outer edge damage depth data, the crack depth data and the concave-convex surface fluctuation data are lower than the lower limit threshold value, triggering pulse of the secondary sorting mechanism is triggered,

when the intelligent recognition mechanism recognizes that all the single data are lower than the upper limit threshold value and all the rusty surface area data, the copper exposure area data, the crack contour line total length data, the outer edge damage depth data, the crack depth data and the concave-convex surface fluctuation data are higher than the lower limit threshold value, triggering pulses of the three-level sorting mechanism.