An intelligent management method based on bill of materials

Abstract

The present invention relates to the field of material management, and in particular to an intelligent management method based on a bill of materials. The present invention obtains surface image data of parts stored in each storage area to extract the number of surface grooves of the parts; determines the environmental impact characterization coefficient of the parts based on the number of surface grooves corresponding to the parts and the storage environment characteristics of the corresponding storage area, generates environmental interference tags for the parts based on the environmental impact characterization coefficient, and synchronously records them in the bill of materials of the parts; calls the bill of materials of the corresponding parts, and adaptively detects the parts based on the corresponding environmental interference tags. The present invention makes corresponding modification records to the bill of materials according to the status of the parts themselves, which can improve the accuracy and timeliness of the content recorded in the bill of materials and optimize warehouse inventory management.

Description

Technical Field

[0001] The present invention relates to the field of material management, and in particular to an intelligent management method based on a bill of materials. Background Art

[0002] In the context of intelligent manufacturing, companies are pursuing automation, informatization, and intelligent production processes. As a core document in production management, the bill of materials (BOM) also requires intelligent upgrades to improve production efficiency, reduce costs, and enhance product quality. For example, by analyzing material inspection data, it is possible to predict in advance whether material supply is sufficient and quality is stable, thereby optimizing production planning and supply chain management. Faced with large amounts of inspection data, companies need a method to automatically acquire this data and intelligently update and manage the BOM based on this data. For example, if a batch of materials is detected to be substandard in quality or condition, the batch can be marked in the BOM and relevant information such as inbound and outbound plans can be adjusted.

[0003] Companies need to minimize costs and optimize resource utilization while ensuring material quality and condition. Traditional material management methods have shortcomings in cost control, such as over-purchasing or production waste caused by material quality issues. Intelligently managing bills of materials using material inspection data can accurately determine actual material needs, avoid unnecessary inventory backlogs, and promptly identify poor-quality materials, reducing the impact on production processes caused by the use of substandard materials, thereby effectively reducing production costs.

[0004] Chinese patent application publication number: CN112581054A, discloses a material management method and a material management device, the method comprising: obtaining a target pallet batch number and a current batch array corresponding to a target storage location; when determining that N material groups in the target storage location need to be repositioned based on the target pallet batch number and the current batch array, automatically identifying the batch numbers corresponding to the M material groups located in the target storage location after the fork operation, and recording the binding results between the batch numbers corresponding to the identified M material groups and their spatial positions in the target storage location in the current batch array. There is no need to manually synchronize material information to the material management system, and the material information in the material management system can be updated in a timely manner. This can avoid the difference between the material information recorded in the material management system and the actual material information, and the phenomenon that the material information in the updated material management system is incorrect due to manual operation errors, thereby improving the accuracy of material management.

[0005] However, the prior art still has the following problems:

[0006] During the storage process of parts, the surface spiral structure of the parts comes into contact with particles in the environment. Under the interference of environmental factors, particles are likely to settle on the surface of the parts, thereby affecting the quality and condition of the parts and reducing the performance of the parts. Summary of the Invention

[0007] To this end, the present invention provides an intelligent management method based on the bill of materials to overcome the problem in the prior art that, during the warehousing process of parts, the surface spiral structure of the parts comes into contact with particulate matter in the environment, and under the interference of environmental factors, the particulate matter is easily deposited on the surface of the parts, thereby affecting the quality and status of the parts and reducing the performance of the parts.

[0008] To achieve the above objectives, the present invention provides an intelligent management method based on a bill of materials, which includes:

[0009] Acquire surface image data of parts stored in each storage area to extract the number of surface grooves of the parts;

[0010] Determining an environmental impact characterization coefficient of the component based on the number of surface grooves corresponding to the component and the storage environment characteristics of the corresponding storage area, generating an environmental interference tag for the component based on the environmental impact characterization coefficient, and synchronously recording it in the bill of materials of the component;

[0011] Call the bill of materials of the corresponding parts and detect the parts according to the corresponding environmental interference tags, including:

[0012] Retrieving surface image data of the parts, determining the average shortest distance between corresponding stacking contours of adjacent parts to determine whether the parts meet stacking standards, extracting the particle deposition area on the parts' surfaces at predetermined inspection intervals to determine the parts' quality levels, and determining the order in which the parts are removed from the warehouse based on the quality levels;

[0013] Or, determining the order of the parts being shipped out according to standard shipping conditions;

[0014] The storage environment characteristics include the concentration of particulate matter and the air humidity in each of the storage areas.

[0015] Furthermore, the process of determining the environmental impact characterization coefficient of the component according to the number of surface grooves corresponding to the component and the storage environment characteristics of the corresponding storage area includes:

[0016] The ratio of the particle concentration in the storage area to the particle concentration threshold and the ratio of the air humidity to the air humidity threshold are summed as the first environmental feature;

[0017] The ratio of the number of grooves on the surface of the component to the threshold value of the number of grooves on the surface of the component is used as the second environmental feature;

[0018] The first environmental feature and the second environmental feature are weightedly summed to determine a coefficient representing the environmental impact of the component.

[0019] Furthermore, generating an environmental interference label for the component based on the environmental impact characterization coefficient includes:

[0020] If the environmental impact characterization coefficient is greater than or equal to the environmental impact characterization coefficient threshold, setting the environmental interference label of the component to a strong environmental interference label;

[0021] If the environmental impact characterization coefficient is less than the environmental impact characterization coefficient threshold, the environmental interference label of the component is set to a weak environmental interference label.

[0022] Furthermore, the components are detected according to the corresponding environmental interference tags, including:

[0023] If the environmental interference tag of the component is a strong environmental interference tag, the surface image data of the component is called to determine the average shortest distance between the corresponding stacking contours of each adjacent component to determine whether the component meets the stacking standard. The particle deposition area on the surface of the component is extracted at every predetermined detection period to determine the quality level of the component. The order in which the components are removed from the warehouse is determined based on the quality level.

[0024] If the environmental interference tag of the component is a weak environmental interference tag, the order in which the components are released from the warehouse is determined according to the standard conditions for releasing the components from the warehouse.

[0025] Further, determining whether the parts meet the stacking standard includes:

[0026] If the average shortest distance between the corresponding stacking contours of adjacent components is less than the average shortest distance threshold, it is determined that the components do not meet the stacking standard.

[0027] Furthermore, the process of extracting the particle deposition area on the component surface at every predetermined detection period includes:

[0028] Acquire pre-stored sample images of component surfaces;

[0029] Matching the component surface image with the component surface sample image to determine a non-overlapping area;

[0030] Obtain the area of the non-overlapping region.

[0031] Furthermore, the process of determining the quality level of the component includes:

[0032] According to a preset correspondence between the particle deposition area on the component surface and the quality level grade of the component, the quality level grade of the component to which the particle deposition area on the component surface belongs is determined.

[0033] Furthermore, the process of determining the order of removing the parts from the warehouse based on the quality level includes:

[0034] The quality level is negatively correlated with the order in which parts are shipped out of the warehouse.

[0035] Furthermore, the standard conditions for outbound shipment include that the parts that enter the warehouse first are shipped out first.

[0036] Furthermore, the contents recorded in the bill of materials of the parts include the location of the parts, the change record of the quality level of the parts, etc.

[0037] The quality level of the component is modified accordingly according to the particle deposition area on the surface of the component extracted every predetermined detection period.

[0038] Compared with the existing technology, the present invention obtains the surface image data of the parts stored in each storage area to extract the number of surface grooves of the parts; determines the environmental impact characterization coefficient of the parts according to the number of surface grooves corresponding to the parts and the storage environment characteristics of the corresponding storage area, and generates environmental interference tags for the parts based on the environmental impact characterization coefficient, which are synchronously recorded in the material list of the parts; calls the material list of the corresponding parts, and adaptively detects the parts according to the corresponding environmental interference tags. The present invention makes corresponding modifications to the material list according to the status of the parts themselves, which can improve the accuracy and timeliness of the content recorded in the material list and optimize warehouse inventory management.

[0039] In particular, the present invention considers that the material properties of the parts themselves are affected by environmental factors and analyzes the degree to which the parts are affected by the environment during storage in combination with the product structure of the parts themselves. When the humidity of the storage environment of the parts reaches a certain level, it will cause electrochemical corrosion of the parts, and then produce rust. Due to the loose and porous nature of rust, it cannot prevent further corrosion by oxygen and water, causing the parts to continue to rust, seriously affecting the mechanical properties and storage quality of the parts. Moreover, in an environment with excessively high humidity, it will promote the growth of microorganisms on the surface of the parts, and the metabolic products of microorganisms will also aggravate the corrosion of the parts. Therefore, the present invention takes air humidity into consideration as one of the factors. At the same time, particulate matter in the air comes into contact with the surface of the parts during the flow process. Since the surface of the parts is spiral, the particulate matter adheres to and deposits on the surface of the parts more quickly after contacting the surface of the parts, accelerating the electrochemical corrosion of the parts and reducing the storage quality of the parts. Under the combined action of the above two environmental factors, the threaded parts of the components will corrode and foreign matter will adhere and deposit, affecting the storage quality and normal use of the components. Compared with components with a larger number of threads, the more threads they have, the larger their surface area is, providing more places for water vapor condensation in a high humidity environment, promoting the process of electrochemical corrosion. Moreover, the more threads they have, the more difficult it is to clean up once particles settle on the surface of the component, resulting in long-term expansion and accumulation of particles, which will further affect the performance of the component. In addition, the particles may also absorb more moisture, exacerbating the corrosion and rusting process of the component. Therefore, the present invention characterizes the degree of abnormal influence of environmental factors on the component through the environmental influence characterization coefficient of the component, providing data support for the subsequent setting of environmental interference labels for the components, facilitating the subsequent rapid and accurate acquisition of the status of the components in the storage stage, and then adjusting the subsequent outbound order.

[0040] In particular, the present invention characterizes the pores formed by the stacking of each component by the average shortest distance between the stacking contour of the component and the stacking contour of the adjacent component. When the components are stacked too close, under the influence of the humidity of the storage environment, a microenvironment with a higher relative humidity will be formed inside the overall stacking of the components, that is, it provides support conditions for the electrochemical corrosion of the components, accelerates the rusting process of the components, and as the electrochemical corrosion process proceeds, corrosion products will be generated on the surface of the components. These products will accumulate on the surface of the components, making the surface of the components rough and uneven. The degree of roughness will increase with the extension of the corrosion time. For some components with precision requirements, the increase in surface roughness may affect their connection with other parts. Not only that, in the process of electrochemical corrosion, local corrosion will occur on the surface of the parts to form pits. The existence of pits will not only affect the quality status of the parts, but also become the stress concentration point of the parts as a whole. When the parts are subjected to external forces, cracks are likely to begin to form at the pits, thereby reducing the strength of the parts. In summary, the present invention characterizes the degree of influence of the placement and distribution of parts in the storage environment on the quality of the parts and the status of the parts themselves according to the average shortest spacing of the stacking contours of adjacent parts, provides support for the subsequent determination of the corresponding quality level of the parts, and then determines the order of parts out of the warehouse to maintain the stable performance of the parts. At the same time, it optimizes the storage inventory management and reduces the backlog of parts inventory. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic diagram of the steps of an intelligent management method based on a bill of materials according to an embodiment of the invention;

[0042] Figure 2 Generating a logic decision diagram for environmental interference labels of components for an embodiment of the invention;

[0043] Figure 3 A logic decision diagram for detecting components according to corresponding environmental interference tags according to an embodiment of the invention;

[0044] Figure 4 This is a logic decision diagram for determining whether parts meet the stacking standards according to an embodiment of the invention. DETAILED DESCRIPTION

[0045] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0046] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0047] It should be noted that, in the description of the present invention, terms such as "upper" and "outer" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0048] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the term "connection" should be understood in a broad sense. For example, it can refer to a fixed connection, a detachable connection, or an integral connection; it can refer to a mechanical connection or an electrical connection. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0049] See also Figure 1 , which is a schematic diagram of the steps of the intelligent management method based on the bill of materials according to an embodiment of the present invention. The intelligent management method based on the bill of materials according to an embodiment of the present invention includes:

[0050] Step S1, obtaining surface image data of components stored in each storage area to extract the number of surface grooves of the components;

[0051] Step S2: determining an environmental impact characterization coefficient of the component based on the number of surface grooves corresponding to the component and the storage environment characteristics of the corresponding storage area; generating an environmental interference tag for the component based on the environmental impact characterization coefficient, and synchronously recording it in the bill of materials of the component;

[0052] Step S3, calling the bill of materials of the corresponding parts, and detecting the parts according to the corresponding environmental interference tags, including:

[0053] Retrieving surface image data of the parts, determining the average shortest distance between corresponding stacking contours of adjacent parts to determine whether the parts meet stacking standards, extracting the particle deposition area on the parts' surfaces at predetermined inspection intervals to determine the parts' quality levels, and determining the order in which the parts are removed from the warehouse based on the quality levels;

[0054] Or, determining the order of the parts being shipped out according to standard shipping conditions;

[0055] The storage environment characteristics include the concentration of particulate matter and the air humidity in each of the storage areas.

[0056] In this implementation, parts refer to fasteners used for product assembly, i.e., a type of mechanical parts used to connect or fix two or more components together, including screws, bolts, rivets, pins, etc., which will not be described in detail here;

[0057] Therefore, under the long-term negative impact of environmental factors on the spiral structure of the component surface, the component surface is more prone to particle adhesion. If it is not cleaned for a long time, under the influence of environmental factors, for example, the humidity in the storage area is high, which accelerates the adhesion of particles and causes the deposition of particles. At the same time, when electrochemical corrosion occurs and causes the corrosion products to adhere and accumulate, it will destroy the uniform stress state of the thread, resulting in a decrease in the quality of the component. In severe cases, it will affect the normal use of the component. Therefore, the components are inspected and evaluated at every predetermined inspection cycle, and the order of the components out of the warehouse is determined to ensure that the performance of the components is still within an acceptable range during use, thereby optimizing warehouse inventory management.

[0058] Specifically, there is no limitation on the specific method of obtaining the surface image data of the parts stored in each storage area. It only needs to be able to collect the surface image data of the parts.

[0059] In some possible implementations, high-definition infrared cameras are deployed above each storage area to obtain surface image data of parts;

[0060] In some possible implementations, a movable cart equipped with an infrared camera moves in real time in each storage area to obtain surface image data of parts, which will not be described in detail.

[0061] It can be understood that when storing parts, several parts of the same type are mainly placed together in the same box for storage, and each part is under the same environmental conditions. Air with high humidity tends to gather and condense at the bottom of the box, providing conditions for electrochemical corrosion of parts. Therefore, the surface image data of the parts obtained in this implementation is the surface image data of the parts on the top layer of the box. If the top layer parts have already shown a certain degree of electrochemical corrosion, the degree of electrochemical corrosion of the parts on the lower layer will be more serious. Furthermore, by detecting the parts on the upper layer of the box, while saving computing power resources, it can also characterize the state of the parts collection inside the box. This will not be repeated.

[0062] Specifically, there is no limit on the determination of the scheduled inspection cycle, and the inspection cycle can be determined based on the purpose and importance of the parts.

[0063] In some possible implementations, since the inspection objects are components with high safety requirements and used in critical fields, their inspection cycle is usually short. For example, in the aerospace field, it may be necessary to inspect components every week or two to ensure that their quality meets actual application requirements;

[0064] In some possible implementations, since the test objects are parts used in general industrial production, they may need to be tested every 3-6 months during storage to ensure that they meet production standards;

[0065] In some possible implementations, since the inspection objects are parts used in civil fields such as furniture manufacturing and building decoration, the precision requirements for parts in this application field are relatively low. Therefore, the inspection cycle can be appropriately extended, and inspection may be required every 6-12 months. In addition, the inspection mainly focuses on the inspection of the appearance of parts, such as rust and corrosion of parts, which will not be repeated here.

[0066] Specifically, the process of determining the environmental impact characterization coefficient of the component according to the number of surface grooves corresponding to the component and the storage environment characteristics of the corresponding storage area includes:

[0067] The ratio of the particle concentration in the storage area to the particle concentration threshold and the ratio of the air humidity to the air humidity threshold are summed as the first environmental feature;

[0068] The ratio of the number of grooves on the surface of the component to the threshold value of the number of grooves on the surface of the component is used as the second environmental feature;

[0069] The first environmental feature and the second environmental feature are weightedly summed to determine a coefficient representing the environmental impact of the component.

[0070] When performing weighted summation in this implementation, the weight of the first environmental feature is set to 0.6, and the weight of the second environmental feature is set to 0.4;

[0071] In this embodiment, the particle concentration threshold in the storage area is set to 0.15 mg / m 3 ;

[0072] When storing parts, the air humidity is usually controlled at around 50% ± 20% RH. If the air humidity is higher than 70% RH, the parts are prone to rust and corrosion, especially screws made of ordinary carbon steel. A high humidity environment will accelerate their oxidation process, reducing the strength and service life of the screws. Therefore, in this embodiment, the air humidity threshold is set to 55% RH.

[0073] The purpose of setting the threshold value for the number of grooves on the surface of parts in this implementation is to characterize the situation where the number of grooves on the surface of parts in the same storage area is too many and is seriously affected by abnormal interference. The threshold value for the number of grooves on the surface of parts is determined based on the average number of grooves on the surface of parts. By obtaining data on the number of grooves on the surfaces of several parts in each storage area, the average number of grooves on the surface of parts is solved, and the average number of grooves on the surface of parts is determined as the threshold value for the number of grooves on the surface of parts. This will not be elaborated on here.

[0074] Specifically, this embodiment takes into account that the material properties of the parts themselves are affected by environmental factors and analyzes the degree to which the parts are affected by the environment during the storage process in combination with the product structure of the parts themselves. When the humidity of the storage environment of the parts reaches a certain level, it will cause electrochemical corrosion of the parts, and then produce rust. Due to the loose and porous nature of rust, it cannot prevent further corrosion by oxygen and water, causing the parts to continue to rust, seriously affecting the mechanical properties and storage quality of the parts. Moreover, in an environment with excessively high humidity, it will promote the growth of microorganisms on the surface of the parts, and the metabolic products of microorganisms will also aggravate the corrosion of the parts. Therefore, this embodiment takes air humidity into consideration as one of the factors. At the same time, particulate matter in the air comes into contact with the surface of the parts during the flow process. Since the surface of the parts is spiral, the particulate matter adheres to and deposits on the surface of the parts more quickly after contacting the surface of the parts, accelerating the electrochemical corrosion of the parts and reducing the storage quality of the parts. Under the combined action of the above two environmental factors, the parts are caused to... Corrosion and foreign matter adhesion and deposition occur on the threaded parts, affecting the storage quality and normal use of parts. Compared with parts with a large number of threads, the more threads they have, the larger their surface area is, providing more places for water vapor condensation in a high humidity environment, promoting the process of electrochemical corrosion. Moreover, the more threads they have, the more difficult it is to clean up once particles settle on the surface of the parts, resulting in the expansion and accumulation of particles for a long time, which will further affect the performance of the parts. For example, the accumulated particles may change the shape of the threads, making it impossible to fit tightly with nuts or other parts with internal threads during use; in addition, the particles may also absorb more moisture, exacerbating the corrosion and rusting process of the parts. Therefore, this implementation uses the environmental impact characterization coefficient of the parts to characterize the degree of abnormal influence of environmental factors on the parts, providing data support for the subsequent setting of environmental interference labels for the parts, facilitating the subsequent rapid and accurate acquisition of the status of the parts in the storage stage, and then adjusting the subsequent outbound order.

[0075] Specifically, see Figure 2 As shown, it is a logic decision diagram for generating an environmental interference label for a component according to an embodiment of the present invention, and the environmental interference label for the component is generated based on the environmentally affected characterization coefficient, including:

[0076] If the environmental impact characterization coefficient is greater than or equal to the environmental impact characterization coefficient threshold, setting the environmental interference label of the component to a strong environmental interference label;

[0077] If the environmental impact characterization coefficient is less than the environmental impact characterization coefficient threshold, the environmental interference label of the component is set to a weak environmental interference label.

[0078] The threshold value of the environmental impact characterization coefficient is selected within the range of [2.15,2.35].

[0079] Specifically, see Figure 3 As shown, it is a logic decision diagram for detecting components according to corresponding environmental interference tags according to an embodiment of the present invention. Detecting the components according to the corresponding environmental interference tags includes:

[0080] If the environmental interference tag of the component is a strong environmental interference tag, the surface image data of the component is called to determine the average shortest distance between the corresponding stacking contours of each adjacent component to determine whether the component meets the stacking standard. The particle deposition area on the surface of the component is extracted at every predetermined detection period to determine the quality level of the component. The order in which the components are removed from the warehouse is determined based on the quality level.

[0081] If the environmental interference tag of the component is a weak environmental interference tag, the order in which the components are released from the warehouse is determined according to the standard conditions for releasing the components from the warehouse.

[0082] Specifically, see Figure 4 As shown, it is a logic determination diagram for determining whether a component meets the stacking standard according to an embodiment of the present invention. Determining whether the component meets the stacking standard includes:

[0083] If the average shortest distance between the corresponding stacking contours of adjacent components is less than the average shortest distance threshold, it is determined that the components do not meet the stacking standard;

[0084] If the average shortest distance between the corresponding stacking contours of adjacent components is greater than or equal to the average shortest distance threshold, it is determined that the components meet the stacking standard.

[0085] The average shortest distance threshold is pre-set, and the surface image data of the components stored in several boxes are obtained. The average shortest distance data between the corresponding stacking contours of the upper adjacent components in each box are called, and the average shortest distance mean is solved. The average shortest distance threshold is set to be determined between 0.85 times and 0.9 times the average shortest distance mean. This will not be repeated here.

[0086] Specifically, this embodiment characterizes the pores formed by the stacking of each component by the average shortest distance between the stacking contour of the component and the stacking contour of the adjacent component. When the components are stacked too close, under the influence of the humidity of the storage environment, a microenvironment with a higher relative humidity will be formed inside the overall stacking of the components, that is, it provides support conditions for the electrochemical corrosion of the components. For example, in the humid rainy season, the interior of tightly stacked components may be in a high humidity state for a long time, creating conditions for the electrochemical corrosion of metals. In a high humidity environment, a layer of water film will form on the surface, and the dissolved oxygen in the water will react with the metal to accelerate the rusting process of the components. As the electrochemical corrosion process proceeds, corrosion products will be generated on the surface of the components, and these products will accumulate on the surface of the components. For example, rust is a loose and porous substance. It will form block-like, powder-like or flaky deposits on the surface of the component, making the surface of the component rough and uneven. The degree of roughness will increase with the extension of corrosion time. For some components with precision requirements, such as screws used in precision machinery, the surface roughness The increase in the degree may affect its coordination with other components. Moreover, during the electrochemical corrosion process, local corrosion will occur on the surface of the component, forming pits. The existence of pits will not only affect the quality status of the component, but also become the stress concentration point of the component as a whole. When the component is subjected to external force, cracks are likely to start to form at the pits, thereby reducing the strength of the component. In summary, this implementation characterizes the degree of influence of the placement and distribution of components in the storage environment on the quality of the components and the status of the components themselves according to the average shortest spacing of the stacking contours of each adjacent component, providing support for the subsequent determination of the corresponding quality level of the components, and then determining the order of component outbound to maintain the stability of the performance of the components. For example, according to a reasonable outbound order, the components that were stored first are given priority for outbound, which can ensure to a certain extent that the performance of the component is still within an acceptable range when in use. The outbound order is adaptively adjusted according to the quality level grade modified by the inspection results, and the components with lower quality levels are outbound earlier, thereby optimizing warehouse inventory management and reducing the backlog of component inventory.

[0087] Specifically, the process of extracting the particle deposition area on the component surface every predetermined detection period includes:

[0088] Acquire pre-stored sample images of component surfaces;

[0089] Matching the component surface image with the component surface sample image to determine a non-overlapping area;

[0090] Obtain the area of the non-overlapping region.

[0091] It is understandable that the deposition of particles on the surface of the part will cause the surface profile to change, which in turn causes the surface profile to differ from the surface profile in the sample image. The area with the difference is the non-overlapping area, that is, the particle deposition area.

[0092] Specifically, in this embodiment, the component surface image refers to the image of the outline of the spiral structure on the surface of the component itself, which will not be described in detail.

[0093] For matching the component surface image and the component sample image, there is no limitation on the method of determining the non-overlapping area.

[0094] In some possible implementations, the difference between the two images is calculated pixel by pixel through image interpolation. If the values of the two images at a certain pixel position are the same, the difference is 0; conversely, if the values at a certain pixel position are different, the difference is not 0. The area composed of pixels with non-zero differences is the non-overlapping area, and the area of the non-overlapping area is then determined, that is, the area of particle deposition on the surface of the component.

[0095] The sample images of the component surface are pre-stored in a related database.

[0096] Specifically, the process of determining the quality level of the component includes:

[0097] According to a preset correspondence between the particle deposition area on the component surface and the quality level grade of the component, the quality level grade of the component to which the particle deposition area on the component surface belongs is determined.

[0098] This implementation sets the corresponding relationship between the particle deposition area on the component surface and the component quality level in the following manner:

[0099] The particle deposition area on the component surface is divided into three preset area intervals, and three levels of quality levels are set at the same time;

[0100] If the particle deposition area on the component surface is within a first preset area interval [0, M0), the component is determined to be of the first quality level;

[0101] If the particle deposition area on the component surface is within a second preset area interval [M0, 1.5M0), the component is determined to be of the second quality level;

[0102] If the particle deposition area on the component surface is within a third preset area interval [1.5M0, +∞), the component is determined to be of the third quality level;

[0103] The higher the quality level of a component, the better the quality and condition of the component.

[0104] To determine the preset area interval, this embodiment first determines a particle deposition area threshold on the component surface. Based on the particle deposition area threshold, the preset area interval is determined. The historical data of particle deposition areas on the component surfaces is extracted by acquiring relevant historical data obtained from a number of inspections of components that meet the stacking and placement standards. The average particle deposition area is then calculated and used as the particle deposition area threshold M0.

[0105] Since the purpose of the preset area interval is to determine the degree of particle deposition on each component due to environmental factors, and to further characterize the quality level and status of the current components, the particle deposition area threshold is appropriately adjusted to the upper or lower limit to determine each preset area interval, which will not be repeated here.

[0106] Specifically, the process of determining the order of parts being shipped out based on the quality level includes:

[0107] The quality level is negatively correlated with the order in which parts are shipped out of the warehouse.

[0108] Among them, the higher the quality level, the later the order of shipment.

[0109] Specifically, the standard conditions for warehouse release include that the parts that enter the warehouse first will be released first.

[0110] It is understandable that under the same storage environment and environmental factors, the parts that are stored first are affected by environmental factors for a longer time, and the possibility and probability of abnormal changes may be higher. Therefore, the parts that are stored first should be taken out of the warehouse for use first. Under normal circumstances, the performance and quality of the parts can be guaranteed to be within an acceptable range, reducing cost waste. This will not be elaborated here.

[0111] Specifically, the contents recorded in the bill of materials of the parts include the location of the parts, the change records of the quality level of the parts, etc.

[0112] The quality level of the component is modified accordingly according to the particle deposition area on the surface of the component extracted every predetermined detection period.

[0113] It is understandable that when parts are regularly inspected, the area of particle deposition on their surface will change over time. For example, the particles will proliferate and expand. In this case, the quality level of the parts needs to be modified and adjusted. Correspondingly, the order of parts leaving the warehouse should be appropriately adjusted to optimize warehouse management. This will not be elaborated here.

[0114] If the intelligent management method based on the bill of materials of the present invention is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention, and the aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program code.

[0115] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

Claims

1. An intelligent management method based on bill of materials, characterized in that: include: Acquire surface image data of parts stored in each storage area to extract the number of surface grooves of the parts; Determining an environmental impact characterization coefficient of the component based on the number of surface grooves corresponding to the component and the storage environment characteristics of the corresponding storage area, generating an environmental interference tag for the component based on the environmental impact characterization coefficient, and synchronously recording it in the bill of materials of the component; Call the bill of materials of the corresponding parts and detect the parts according to the corresponding environmental interference tags, including: If the environmental interference tag of the component is a strong environmental interference tag, the surface image data of the component is called to determine the average shortest distance between the corresponding stacking contours of each adjacent component to determine whether the component meets the stacking standard. The particle deposition area on the surface of the component is extracted at every predetermined detection period to determine the quality level of the component. The order in which the components are removed from the warehouse is determined based on the quality level. If the environmental interference tag of the component is a weak environmental interference tag, the order of the components being released from the warehouse is determined according to the standard conditions for releasing the components; The storage environment characteristics include the concentration of particulate matter and air humidity in each storage area; The process of determining the environmental impact characterization coefficient of the component according to the number of surface grooves corresponding to the component and the storage environment characteristics of the corresponding storage area includes: The ratio of the particle concentration in the storage area to the particle concentration threshold and the ratio of the air humidity to the air humidity threshold are summed as the first environmental feature; The ratio of the number of grooves on the surface of the component to the threshold value of the number of grooves on the surface of the component is used as the second environmental feature; Determining a weighted sum of the first environmental feature and the second environmental feature as an environmental impact characterization coefficient of the component; Generating an environmental interference label for the component based on the environmentally affected characterization coefficient includes: If the environmental impact characterization coefficient is greater than or equal to the environmental impact characterization coefficient threshold, setting the environmental interference label of the component to a strong environmental interference label; If the environmental impact characterization coefficient is less than the environmental impact characterization coefficient threshold, the environmental interference label of the component is set to a weak environmental interference label.

2. The intelligent management method based on bill of materials according to claim 1, characterized in that: Determine whether the parts meet the stacking standards, including: If the average shortest distance between the corresponding stacking contours of adjacent components is less than the average shortest distance threshold, it is determined that the components do not meet the stacking standard.

3. The intelligent management method based on bill of materials according to claim 1, characterized in that: The process of extracting the particle deposition area on the surface of the component every predetermined detection period includes: Acquire pre-stored sample images of component surfaces; Matching the component surface image with the component surface sample image to determine a non-overlapping area; Obtain the area of the non-overlapping region.

4. The intelligent management method based on bill of materials according to claim 1, characterized in that: The process of determining the quality level of the component, include, According to a preset correspondence between the particle deposition area on the component surface and the quality level grade of the component, the quality level grade of the component to which the particle deposition area on the component surface belongs is determined.

5. The intelligent management method based on bill of materials according to claim 1, characterized in that: The process of determining the order of removing the parts from the warehouse based on the quality level includes: The quality level is negatively correlated with the order in which parts are shipped out of the warehouse.

6. The intelligent management method based on bill of materials according to claim 1, characterized in that: The standard conditions for outbound delivery include that the parts that enter the warehouse first will be outbound first.

7. The intelligent management method based on bill of materials according to claim 1, characterized in that: The contents recorded in the bill of materials of the parts include the location of the parts, the change records of the quality level of the parts, etc. The quality level of the component is modified accordingly according to the particle deposition area on the surface of the component extracted every predetermined detection period.

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