Shielding cover flatness detection method based on laser measurement technology

Abstract

The invention discloses a shielding cover flatness detection method based on a laser measurement technology, relates to the technical field of laser measurement, and effectively reduces the influence degree of processing quality on the packaging flatness of a shielding cover. The method comprises the following steps: establishing a standard product dynamic model sequence under each production step according to a historical laser signal spectrum, and setting a plurality of groups of horizontal fluctuation vectors on the outer surface of a standard product dynamic model according to the fluctuation of the historical laser signal spectrum at each time point; the method comprises the following steps: collecting a real-time laser signal frequency spectrum of each production step of a metal product in a real-time state, establishing a two-dimensional product model according to the real-time laser signal frequency spectrum, setting a plurality of real-time horizontal fluctuation vectors at the edge position of the two-dimensional product model, and establishing a standard product dynamic model sequence under each production step; and comparing the real-time horizontal fluctuation vector on the two-dimensional product model with the horizontal fluctuation vector on the standard product dynamic model, and judging whether the machining process of the metal product or the packaging process of the shielding cover is abnormal or not according to a comparison result.

Description

Technical Field

[0001] The invention relates to the technical field of laser measurement, in particular to a shielding cover flatness detection method based on laser measurement technology. Background Art

[0002] In modern industrial production, the manufacturing process of metal products has extremely high requirements for precision and quality control. Especially in the manufacture of electronic equipment, metal shielding covers are key components. The processing quality and stability of the packaging process directly affect the performance and service life of the equipment. And when the processing quality is unqualified, it will directly or indirectly lead to the quality of shielding cover packaging.

[0003] In the existing metal product processing and shielding cover packaging process, the traditional mechanical contact detection method is usually used to obtain data through the physical contact between the probe and the product surface. This method has disadvantages such as wear, slow measurement speed and susceptibility to environmental interference. In recent years, laser measurement technology has gradually become an important means of quality monitoring in metal product processing and shielding cover packaging due to its high precision, non-contact and fast response characteristics.

[0004] Existing laser scanning systems have difficulty achieving ideal measurement accuracy when dealing with complex-shaped shields, especially when dealing with curved or irregular surfaces. This is mainly due to the focusing and scattering of the laser beam, which leads to unstable data acquisition.

[0005] Therefore, how to reduce or eliminate the influence of processing quality on the flatness of shielding cover packaging and improve the measurement accuracy of laser scanning is a difficulty in the prior art. To this end, a shielding cover flatness detection method based on laser measurement technology is provided. Summary of the invention

[0006] In order to solve the above technical problems, the purpose of the present invention is to provide a shielding cover flatness detection method based on laser measurement technology.

[0007] In order to achieve the above object, the present invention provides the following technical solutions: A method for detecting the flatness of a shielding cover based on laser measurement technology comprises the following steps: Step S1, multiple processing sections are set on the production line according to the production steps of the metal products, and multiple laser sensors are installed in each processing section. When each metal product passes through the processing section in sequence along the conveyor belt, the laser sensor collects the historical laser signal spectrum of each metal product from three emission angles; Step S2, according to the historical laser signal spectra of the metal product under normal production in several production steps, a standard product dynamic model sequence under each production step is established, and according to the fluctuation of the historical laser signal spectrum at each time point, several groups of horizontal fluctuation vectors are set on the outer surface of the standard product dynamic model; Step S3, collecting the real-time laser signal spectrum of each production step of the metal product in real time, establishing a two-dimensional product model according to the real-time laser signal spectrum, and setting a number of real-time horizontal fluctuation vectors at the edge position of the two-dimensional product model, establishing a standard product dynamic model sequence under each production step, by comparing the real-time horizontal fluctuation vector on the two-dimensional product model with the horizontal fluctuation vector on the standard product dynamic model, judging whether there is any abnormality in the processing process of the metal product or the shielding cover packaging process according to the comparison result.

[0008] Furthermore, the production steps of the metal products include stamping, cleaning and packaging. Corresponding production equipment is installed on the production line according to the production steps of the metal products, and each production equipment is connected in sequence through a conveyor belt. The production equipment corresponding to the same production step is grouped together, and then three processing sections are divided on the production line.

[0009] Furthermore, the acquisition process of the historical laser signal spectrum includes: A laser sensor is bound to each production equipment in each processing section, and each laser sensor is numbered. When the production line processes metal products, each laser sensor on the production line emits n series of laser signals vertically and at a 45-degree angle on both sides to the conveyor belt, and each series of laser signals is in a horizontal straight line on the conveyor belt. When the conveyor belt transports the metal products through each processing section in sequence, each laser signal passes through the metal product and generates a corresponding laser reflection signal spectrum, and each laser reflection signal spectrum is marked with the corresponding laser sensor number and emission angle, thereby collecting several laser reflection signal spectra of various types of metal products in different production steps.

[0010] Furthermore, the process of establishing the standard product dynamic model sequence is as follows: Select the laser reflection signal spectrum of the metal product under normal production in each production step, establish a two-dimensional coordinate system, and map the laser reflection signal spectrum corresponding to the same type of metal product, the same production step and generated by the same laser sensor onto the same two-dimensional coordinate system; A number of analytical time points are set on a two-dimensional coordinate system, and the amplitude values ​​of the spectrum of different laser reflection signals at the same analytical time point are normally distributed, and the normal amplitude value interval at each analytical time point is generated according to the normal distribution result; Connect the normal amplitude value intervals of each analytical time point in sequence to obtain the normal laser reflection signal spectrum corresponding to each production equipment of the corresponding type of metal product when executing the corresponding production steps; The corresponding standard product dynamic model is established according to the frequency spectrum of each normal laser reflection signal. The standard product dynamic model generated by the laser signal of the same laser sensor but at different emission angles is then overlapped and mapped. The standard product dynamic models generated by each laser sensor on the same processing section are sequentially associated to obtain a standard product dynamic model sequence.

[0011] Furthermore, the process of establishing the horizontal fluctuation vector includes: Along the running direction of the conveyor belt, m outer surface starting points distributed in straight lines are set for the outer surface of each standard product dynamic model in the standard product dynamic model sequence, and n outer surface performance detection points distributed side by side and parallel to the laser signal on the conveyor belt are set. The outer surface starting points and outer surface performance detection points that are adjacent to each other in the same row are connected in sequence, so as to obtain n standard horizontal wave vectors with equal module lengths, where n and m are both natural numbers greater than 0.

[0012] Furthermore, the process of establishing a two-dimensional product model according to the real-time laser signal spectrum includes: Whenever a metal product passes through a laser sensor's laser signal along the conveyor belt, a corresponding real-time laser reflection signal spectrum is generated; The defect detection frequency is set according to the time length between each analysis time point. Whenever a defect detection frequency starts, the corresponding two-dimensional product model is established according to the real-time laser reflection signal spectrum. The process of establishing a standard horizontal fluctuation vector on the outer surface of the standard product dynamic model is adopted, and n real-time horizontal fluctuation vectors are set at the edge position of the two-dimensional product model.

[0013] Furthermore, the process of comparing the real-time horizontal fluctuation vector with the horizontal fluctuation vector includes: A three-dimensional coordinate system is established, and according to the generation time sequence of the real-time horizontal fluctuation vector, the real-time horizontal fluctuation vector generated at each defect detection frequency is sequentially mapped with the standard horizontal fluctuation vector of the same sequence on the corresponding standard product dynamic model into the three-dimensional coordinate system; Matching each real-time horizontal fluctuation vector with each standard horizontal fluctuation vector in sequence, thereby obtaining the scalar product between the matched real-time horizontal fluctuation vector and the standard horizontal fluctuation vector; A quantitative product threshold is set to determine whether the quantitative product between each real-time horizontal fluctuation vector and the standard horizontal fluctuation vector is less than or equal to the quantitative product threshold. If the quantitative product is less than or equal to the quantitative product threshold, the position of the metal product associated with the corresponding real-time horizontal fluctuation vector is judged to be normal, otherwise it is judged to be a suspected abnormality.

[0014] Furthermore, the process of determining whether there is an abnormality in the processing of the metal product or the packaging process of the shielding cover includes: If, after the metal product passes through three laser signals from the same laser sensor, on the corresponding generated two-dimensional product model, the scalar product between the real-time horizontal fluctuation vector and the corresponding standard horizontal fluctuation vector at the same position twice or more is greater than the scalar product threshold, it is determined that an abnormal defect exists at the relevant position of the metal product; When the metal product completely passes through the laser signals of three emission angles of a laser sensor, a real-time product stage model is generated based on the real-time laser reflection signal spectrum generated at the three emission angles, and the abnormal defect positions are marked in the real-time product stage model; It is determined in turn whether the real-time product stage model generated by the stamping, cleaning or packaging steps has abnormal defect position markings, and based on the determination results, it is determined whether there are abnormalities in the processing of the metal product or the packaging process of the shielding cover.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention uses a laser sensor to send laser signals with different emission angles from the same position. When the metal product moves along the conveyor belt, the laser reflection signal spectra generated at various emission angles are complementary to each other. Therefore, the standard product dynamic model corresponding to the laser reflection signal spectra of the same laser sensor at different emission angles is overlapped, making the standard product dynamic model more accurate, improving the measurement accuracy of laser scanning, and laying a data foundation for subsequent judgment of whether there is an abnormality in the production process.

[0016] 2. The present invention determines in sequence whether the real-time product stage model generated in the stamping, cleaning and packaging steps carries abnormal defect position markings, so that the previous production step minimizes the impact on the defect detection result of the next production step, thereby effectively improving the accuracy of judging the flatness of the shielding cover packaging. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention.

[0018] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0019] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0020] like Figure 1 As shown, a shield cover flatness detection method based on laser measurement technology includes the following steps: Step S1, multiple processing sections are set on the production line according to the production steps of the metal products, and multiple laser sensors are installed in each processing section. When each metal product passes through the processing section in sequence along the conveyor belt, the laser sensor collects the historical laser signal spectrum of each metal product from three emission angles; The specific implementation process of step S1 includes: The production steps of the metal product include stamping, cleaning and packaging. According to the production steps of the metal product, corresponding production equipment is installed on the production line, and each production equipment is connected in sequence through a conveyor belt. The production equipment corresponding to the same production step is grouped into one group, and then three processing sections are divided on the production line. It should be noted that due to the different process complexity of each production step, the length of the processing section of each production step is different; The stamping step includes compressing the metal raw material into a metal product of a corresponding shape according to production requirements; The cleaning step is used to clean the surface of the metal product; The packaging step is used to install a shielding cover on the metal product; A laser sensor is bound to each production device in each processing section, and each laser sensor is numbered, where the numbers are a1, a2, ..., a i , b1, b2, ..., b j , c1, c2, ..., c k , where i, j, k are natural numbers greater than 0, a i 、b j and c k denote the i-th, j-th, and k-th sensors of the first, second, and third processing sections, respectively; It should be noted that the intervals between the laser sensors are equal, and the lengths of the processing sections in different production steps are not completely equal; During the process of processing metal products on the production line, each laser sensor on the production line emits n series of laser signals vertically and at 45 degrees on both sides to the conveyor belt, and each series of laser signals is in a horizontal straight line on the conveyor belt; When the conveyor belt transports the metal products through each processing section in sequence, each laser signal passes through the metal product and generates a corresponding laser reflection signal spectrum, and each laser reflection signal spectrum is marked with the corresponding laser sensor number and emission angle, thereby collecting several laser reflection signal spectra of various types of metal products in different production steps.

[0021] Step S2, according to the historical laser signal spectra of the metal product under normal production in several production steps, a standard product dynamic model sequence under each production step is established, and according to the fluctuation of the historical laser signal spectrum at each time point, several groups of horizontal fluctuation vectors are set on the outer surface of the standard product dynamic model; The specific implementation process of step S2 includes: Since the laser sensor emits a row of laser signals in three directions, the laser reflection signal generated when the laser signal directly irradiates the conveyor belt is a series of relatively smooth spectra without obvious fluctuations; Furthermore, when the metal product passes through each row of laser signals in sequence under the drive of the conveyor belt, due to the production requirements of the metal product, the surface of the metal product in different production steps is irregular, and because the metal product itself is more convex relative to the conveyor belt, when the metal product passes through the time nodes before and after the laser signal, the spectrum of the laser reflection signal collected by the corresponding laser sensor undergoes a significant drastic change, and due to the irregular parts of the surface of the metal product, the spectrum of the laser reflection signal undergoes a series of irregular local fluctuations after the first significant drastic change, until no local fluctuations occur after the second significant drastic change. Select the laser reflection signal spectra of metal products judged as normal by the staff at each production step, establish a two-dimensional coordinate system, and map the laser reflection signal spectra corresponding to the same type of metal products, the same production steps and generated by the same laser sensor onto the same two-dimensional coordinate system; Several analytical time points are set on the two-dimensional coordinate system, and the amplitude values ​​of the spectrum of different laser reflection signals at the same analytical time point are normally distributed. The value of the center part of the normal distribution curve relative to one quarter of the length of the entire normal distribution curve is selected as the normal amplitude value interval at the corresponding analytical time point; Connect the normal amplitude value intervals of each analytical time point in sequence to obtain the normal laser reflection signal spectrum corresponding to each production equipment of the corresponding type of metal product when executing the corresponding production steps; Establish a corresponding standard product dynamic model according to each normal laser reflection signal spectrum, and then overlap and map the standard product dynamic model generated by the laser signal of the same laser sensor but at different emission angles; It should be noted that, during the processing of metal products by production equipment, there will be different degrees of interaction with metal products, resulting in different degrees of loss when the laser signal contacts the metal products. Therefore, laser signals with different emission angles are sent from the same position through the laser sensor. When the metal product moves along the conveyor belt, the laser reflection signal spectra generated at each emission angle are complementary to each other. Therefore, the standard product dynamic model corresponding to the laser reflection signal spectra at different emission angles of the same laser sensor is overlapped, making the standard product dynamic model more accurate, laying a data foundation for the subsequent judgment of whether there are abnormalities in the production process. The standard product dynamic models generated by the laser sensors on the same processing section are sequentially associated to obtain a standard product dynamic model sequence; Along the running direction of the conveyor belt, m outer surface starting points distributed in a straight line are set for the outer surface of each standard product dynamic model in the standard product dynamic model sequence, and n outer surface performance detection points distributed in parallel with the laser signal on the conveyor belt are set, and the outer surface starting points and outer surface performance detection points in the same row and adjacent to each other are connected in sequence, thereby obtaining n standard horizontal wave vectors with equal modulus lengths, wherein n and m are both natural numbers greater than 0; The above process of generating standard horizontal fluctuation vectors is repeated to obtain standard horizontal fluctuation vectors of various metal products when passing through different production equipment.

[0022] Step S3, collecting the real-time laser signal spectrum of each production step of the metal product in real time, establishing a two-dimensional product model according to the real-time laser signal spectrum, and setting a number of real-time horizontal fluctuation vectors at the edge position of the two-dimensional product model, establishing a standard product dynamic model sequence under each production step, and comparing the real-time horizontal fluctuation vector on the two-dimensional product model with the horizontal fluctuation vector on the standard product dynamic model, judging whether there is an abnormality in the processing process of the metal product or the shielding cover packaging process according to the comparison result; The specific implementation process of step S3 includes: The staff assigns production tasks to each production line, wherein the production tasks include the type of metal to be produced and the production quantity, and retrieves the corresponding standard product dynamic model sequence according to the type of production task; Whenever a metal product passes through a laser sensor's laser signal along the conveyor belt, a corresponding real-time laser reflection signal spectrum is generated; The defect detection frequency is set according to the time length between each analysis time point. When a defect detection frequency starts, the corresponding two-dimensional product model is established according to the real-time laser reflection signal spectrum. The process of establishing a standard horizontal wave vector on the outer surface of the standard product dynamic model is adopted to set n real-time horizontal wave vectors at the edge position of the two-dimensional product model. A three-dimensional coordinate system is established, and according to the generation time sequence of the real-time horizontal fluctuation vector, the real-time horizontal fluctuation vector generated at each defect detection frequency is sequentially mapped with the standard horizontal fluctuation vector of the same sequence on the corresponding standard product dynamic model into the three-dimensional coordinate system; Matching each real-time horizontal fluctuation vector with each standard horizontal fluctuation vector in sequence, thereby obtaining the scalar product between the matched real-time horizontal fluctuation vector and the standard horizontal fluctuation vector; A quantity product threshold is set to determine whether the quantity product between each real-time horizontal fluctuation vector and the standard horizontal fluctuation vector is less than or equal to the quantity product threshold. If the quantity product is less than or equal to the quantity product threshold, the position of the metal product associated with the corresponding real-time horizontal fluctuation vector is determined to be normal, otherwise it is determined to be suspected abnormality; If, after the metal product passes through three laser signals from the same laser sensor, on the corresponding generated two-dimensional product model, the scalar product between the real-time horizontal fluctuation vector and the corresponding standard horizontal fluctuation vector at the same position twice or more is greater than the scalar product threshold, it is determined that an abnormal defect exists at the relevant position of the metal product; When the metal product completely passes through the laser signals of three emission angles of a laser sensor, a real-time product stage model is generated according to the real-time laser reflection signal spectrum generated at the three emission angles, and the abnormal defect position is marked on the real-time product stage model, and then it is judged in turn whether the real-time product stage model generated in the stamping, cleaning and packaging steps has the abnormal defect position marking; If the real-time product stage model generated in the stamping step contains abnormal defect location markings, the stamping process corresponding to the corresponding production equipment is judged to be unqualified, and then a product stamping abnormality prompt is generated according to the abnormal defect location to the staff; If the real-time product stage model generated in the cleaning step contains an abnormal defect position mark, it is judged that the cleaning step causes the metal product to be defective at the abnormal defect position, and then a product cleaning abnormality prompt is generated according to the abnormal defect position to the staff; If the real-time product stage model generated in the packaging step contains an abnormal defect position mark, it is judged that the shielding cover installation of the corresponding metal product is unqualified, resulting in the abnormal defect position not meeting the production standard, and then a shielding cover installation abnormality prompt is generated according to the abnormal defect position to the staff; The above process of detecting whether there are any abnormalities in each production step of the metal product is repeated until the production quantity in the production task is completed.

[0023] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A shield cover flatness detection method based on laser measurement technology, characterized in that: The following steps are involved: Step S1, multiple processing sections are set on the production line according to the production steps of the metal products, and multiple laser sensors are installed in each processing section. When each metal product passes through the processing section in sequence along the conveyor belt, the laser sensor collects the historical laser signal spectrum of each metal product from three emission angles; Step S2, according to the historical laser signal spectra of the metal product under normal production in several production steps, a standard product dynamic model sequence under each production step is established, and according to the fluctuation of the historical laser signal spectrum at each time point, several groups of horizontal fluctuation vectors are set on the outer surface of the standard product dynamic model; Step S3, collecting the real-time laser signal spectrum of each production step of the metal product in real time, establishing a two-dimensional product model according to the real-time laser signal spectrum, and setting a number of real-time horizontal fluctuation vectors at the edge position of the two-dimensional product model, establishing a standard product dynamic model sequence under each production step, by comparing the real-time horizontal fluctuation vector on the two-dimensional product model with the horizontal fluctuation vector on the standard product dynamic model, judging whether there is any abnormality in the processing process of the metal product or the shielding cover packaging process according to the comparison result.

2. The method for detecting flatness of a shielding cover based on laser measurement technology according to claim 1, characterized in that: The production steps of the metal product include stamping, cleaning and packaging. Corresponding production equipment is installed on the production line according to the production steps of the metal product, and each production equipment is connected in sequence through a conveyor belt. The production equipment corresponding to the same production step is grouped together, and then three processing sections are divided on the production line.

3. The method for detecting flatness of a shielding cover based on laser measurement technology according to claim 2, characterized in that: The production equipment is bound to a laser sensor, and each laser sensor is numbered. During the process of processing metal products on the production line, each laser sensor located on the production line emits n strings of laser signals vertically and at a 45-degree angle on both sides to the conveyor belt, and each string of laser signals is in a horizontal straight line on the conveyor belt.

4. The method for detecting flatness of a shielding cover based on laser measurement technology according to claim 3, characterized in that: The acquisition process of the historical laser signal spectrum includes: A laser sensor is bound to each production equipment, and each laser sensor is numbered. When the production line processes metal products, each laser sensor on the production line emits n series of laser signals vertically and at a 45-degree angle on both sides to the conveyor belt, and each series of laser signals is in a horizontal straight line on the conveyor belt. When the conveyor belt transports the metal product through each processing section in sequence, each laser signal passes through the metal product and generates a corresponding laser reflection signal spectrum. Each laser reflection signal spectrum is marked with the laser sensor number and emission angle, and then several laser reflection signal spectra of the metal product at different production steps are collected.

5. The method for detecting flatness of a shielding cover based on laser measurement technology according to claim 4, characterized in that: The process of establishing the standard product dynamic model sequence is as follows: Select the laser reflection signal spectrum of the metal product under normal production in each production step, establish a two-dimensional coordinate system, and map the laser reflection signal spectrum corresponding to the same type of metal product, the same production step and generated by the same laser sensor onto the same two-dimensional coordinate system; A number of analytical time points are set on a two-dimensional coordinate system, and the amplitude values ​​of the spectrum of different laser reflection signals at the same analytical time point are normally distributed, and the normal amplitude value interval at each analytical time point is generated according to the normal distribution result; Connect the normal amplitude value intervals of each analytical time point in sequence to obtain the normal laser reflection signal spectrum corresponding to each production equipment of the corresponding type of metal product when executing the corresponding production steps; The corresponding standard product dynamic model is established according to the frequency spectrum of each normal laser reflection signal, and then the standard product dynamic model generated by the laser signal of the same laser sensor but at different emission angles is overlapped and mapped. Then, the standard product dynamic models generated by each laser sensor on the same processing section are sequentially associated to obtain a standard product dynamic model sequence.

6. The method for detecting flatness of a shielding cover based on laser measurement technology according to claim 5, characterized in that: The process of establishing the horizontal fluctuation vector includes: Along the running direction of the conveyor belt, m outer surface starting points distributed in straight lines are set on the outer surface of each standard product dynamic model, and n outer surface performance detection points distributed parallel to the laser signal on the conveyor belt are set. The outer surface starting points and outer surface performance detection points that are adjacent to each other in the same row are connected in sequence, so as to obtain n standard horizontal wave vectors with equal module lengths, where n and m are both natural numbers greater than 0.

7. The method for detecting flatness of a shielding cover based on laser measurement technology according to claim 6, characterized in that: The process of building a 2D product model based on the real-time laser signal spectrum includes: Whenever a metal product passes through a laser sensor's laser signal along the conveyor belt, a corresponding real-time laser reflection signal spectrum is generated; The defect detection frequency is set according to the time length between each analysis time point. Whenever a defect detection frequency starts, the corresponding two-dimensional product model is established according to the real-time laser reflection signal spectrum. The process of establishing a standard horizontal fluctuation vector on the outer surface of the standard product dynamic model is adopted, and n real-time horizontal fluctuation vectors are set at the edge position of the two-dimensional product model.

8. The method for detecting flatness of a shielding cover based on laser measurement technology according to claim 7, characterized in that: The process of comparing the real-time horizontal fluctuation vector with the horizontal fluctuation vector includes: A three-dimensional coordinate system is established, and according to the generation time sequence of the real-time horizontal fluctuation vector, the real-time horizontal fluctuation vector generated at each defect detection frequency is sequentially mapped with the standard horizontal fluctuation vector of the same sequence on the corresponding standard product dynamic model into the three-dimensional coordinate system; Matching each real-time horizontal fluctuation vector with each standard horizontal fluctuation vector in sequence, thereby obtaining the scalar product between the matched real-time horizontal fluctuation vector and the standard horizontal fluctuation vector; A quantitative product threshold is set to determine whether the quantitative product between each real-time horizontal fluctuation vector and the standard horizontal fluctuation vector is less than or equal to the quantitative product threshold. If the quantitative product is less than or equal to the quantitative product threshold, the position of the metal product associated with the corresponding real-time horizontal fluctuation vector is judged to be normal, otherwise it is judged to be a suspected abnormality.

9. The method for detecting flatness of a shielding cover based on laser measurement technology according to claim 8, characterized in that: If after the metal product passes through three laser signals from the same laser sensor, if on the corresponding generated two-dimensional product model there are two or more times when the scalar product between the real-time horizontal fluctuation vector and the corresponding standard horizontal fluctuation vector at the same position is greater than the scalar product threshold, then it is judged that there is an abnormal defect at the relevant position of the metal product.

10. The method for detecting flatness of a shielding cover based on laser measurement technology according to claim 9, characterized in that: The process of determining whether there is an abnormality in the processing of metal products or the shielding cover packaging process includes: When the metal product completely passes through the laser signals of three emission angles of a laser sensor, a real-time product stage model is generated based on the real-time laser reflection signal spectrum generated at the three emission angles, and the abnormal defect positions are marked in the real-time product stage model; It is determined in turn whether the real-time product stage model generated by the stamping, cleaning or packaging steps has abnormal defect position markings, and based on the determination results, it is determined whether there are abnormalities in the processing of the metal product or the packaging process of the shielding cover.

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