Intelligent management method based on bill of materials

Abstract

The invention relates to the field of material management, in particular to an intelligent management method based on a bill of materials, and the method comprises the steps: obtaining the surface image data of parts stored in each storage region, so as to extract the number of surface grooves of the parts; according to the number of the surface grooves corresponding to the parts and in combination with the storage environment characteristics of the corresponding storage areas, determining an environmental influence characterization coefficient of the parts, and based on the environmental influence characterization coefficient, generating environmental interference labels for the parts so as to synchronously record the environmental interference labels into a bill of materials of the parts; and calling the bill of material of the corresponding part, and adaptively detecting the part according to the corresponding environment interference label, the bill of material is correspondingly modified and recorded according to the state of the part, the accuracy and timeliness of the recorded content of the bill of material can be improved, and the warehouse stock management can be optimized.

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, enterprises are pursuing automation, informatization and intelligence in the production process. As one of the core documents of production management, the bill of materials also needs to be upgraded to improve the production efficiency, reduce costs and improve product quality. For example, by analyzing the material inspection data, it is possible to predict in advance whether the material supply is sufficient and the quality is stable, thereby optimizing production planning and supply chain management. Faced with a large amount of inspection data, enterprises need a method to automatically obtain the inspection data and intelligently update and manage the bill of materials based on this data. For example, when it is detected that the quality or status of a batch of materials does not meet the standards, the batch of materials is marked in the bill of materials, and the relevant information such as the warehousing plan is adjusted.

[0003] Enterprises need to reduce costs and optimize resource utilization as much as possible while ensuring the quality and status of materials. Traditional material management methods have shortcomings in cost control, such as over-purchasing or production waste caused by material quality problems. Intelligent management of the bill of materials through material inspection data can accurately determine the actual demand for materials, avoid unnecessary inventory backlogs, and promptly detect poor quality materials, reduce the impact of using unqualified materials on the production process, and effectively reduce 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 relocated 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 forklift 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, without the need to manually synchronize the material information to the material management system, the material information in the material management system can be updated in time, 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 can be avoided, and the accuracy of material management can be improved.

[0005] However, there are still the following problems in the prior art:

[0006] During the storage process of parts, the surface spiral structure of the parts comes into contact with the particles in the environment. Under the interference of environmental factors, the particles are prone to settle on the surface of the parts, which in turn affects the quality and state of the parts and reduces 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, after the surface spiral structure of the parts comes into contact with the particles in the environment, under the interference of environmental factors, the particles are prone to settle on the surface of the parts, thereby affecting the quality and state of the parts and reducing the performance of the parts.

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

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

[0010] Determine 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, and generate an environmental interference label for the component based on the environmental impact characterization coefficient, so as to be synchronously recorded 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] Calling the surface image data of the parts to determine the average shortest distance between the corresponding stacking contours of each adjacent parts to determine whether the parts meet the stacking standards, extracting the particle deposition area on the surface of the parts every predetermined detection period to determine the quality level of the parts, and determining the order of the parts to be removed from the warehouse based on the quality level;

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

[0014] The storage environment characteristics include the particle concentration and 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 the 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] Further, 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] Further, the components are detected according to the corresponding environmental interference tags, including:

[0023] If the environmental interference label of the component is a strong environmental interference label, 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, and the particle deposition area on the surface of the component is extracted every predetermined detection period to determine the quality level of the component, and the order of the components being 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 of the components leaving the warehouse is determined according to the standard conditions for leaving 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 surface of the component every predetermined detection period includes:

[0028] Acquire a pre-stored sample image of a component surface;

[0029] Matching the component surface image with the component surface sample image to determine the 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 a particle deposition area on a component surface and a 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 grade 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 warehouse exit include that the parts that enter the warehouse first are first exited.

[0036] Furthermore, the contents recorded in the bill of materials of the parts include the location of the parts, the quality level grade change records corresponding to the parts, etc.;

[0037] Wherein, the quality level grade 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 prior art, the present invention obtains surface image data of parts and components stored in each storage area to extract the number of surface grooves of parts and components; determines the environmental impact characterization coefficient of parts and components according to the number of surface grooves corresponding to the parts and components combined with the storage environment characteristics of the corresponding storage area, generates environmental interference labels for parts and components based on the environmental impact characterization coefficient, and synchronously records them in the bill of materials of the parts and components; calls the bill of materials of the corresponding parts and components, and adaptively detects the parts and components according to the corresponding environmental interference labels. The present invention makes corresponding modification records to the bill of materials according to the status of the parts and components themselves, which can improve the accuracy and timeliness of the contents recorded in the bill of materials 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 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 is unable to 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. In addition, 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 effect 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 will be, 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 will be to clean up particles once they are deposited 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, provides data support for the subsequent setting of environmental interference labels for the component, facilitates the subsequent rapid and accurate acquisition of the status of the component in the storage stage, and then adjusts the subsequent warehouse outbound sequence.

[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, the overall interior formed by the stacking of the components will form a microenvironment with a higher relative humidity, 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, which 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 its connection with other components. 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 influence of the placement and distribution of parts in the storage environment on the quality of the parts and the state of the parts themselves according to the average shortest spacing of the stacking contours of each adjacent part, provides support for the subsequent determination of the corresponding quality level of the parts, and then determines the order of parts leaving the warehouse to keep the performance of the parts stable. 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 in an embodiment of the invention;

[0044] Figure 4 The present invention is a logic determination diagram for determining whether parts meet the stacking standard according to the embodiment of the present 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 only used to explain the present invention and are not used 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 protection scope 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 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] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the term "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0049] See also Figure 1 As shown, it 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 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, generating an environmental interference label 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 component, and detecting the component according to the corresponding environmental interference label, including:

[0053] Calling the surface image data of the parts to determine the average shortest distance between the corresponding stacking contours of each adjacent parts to determine whether the parts meet the stacking standards, extracting the particle deposition area on the surface of the parts every predetermined detection period to determine the quality level of the parts, and determining the order of the parts to be removed from the warehouse based on the quality level;

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

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

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

[0057] Therefore, under the long-term negative impact of environmental factors on the spiral structure of the surface of parts, particles are more likely to adhere to the surface of parts. If they are 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 the reduction of the quality of parts. In severe cases, it will affect the normal use of parts. Therefore, the parts are inspected and the corresponding quality status of the parts is evaluated at every predetermined inspection cycle, and the order of parts leaving the warehouse is determined to ensure that the performance of the parts is still within an acceptable range when in use, thereby optimizing warehouse inventory management.

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

[0059] In some possible implementations, high-definition infrared cameras are arranged 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 is understandable 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 the 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 upper layer parts of the box, while saving computing power resources, it can also characterize the state of the collection of parts 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 parts with high safety requirements and used in key fields, their inspection cycle is usually short. For example, in the aerospace field, parts may need to be inspected every one or two weeks to ensure that their quality meets the 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 lower. 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, for example, 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 ordinary carbon steel screws. High humidity environment will accelerate their oxidation process and reduce 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 parts surface in the present embodiment is to characterize the situation where the number of grooves on the parts surface in the same storage area is too large and is seriously affected by abnormal interference, wherein the threshold value for the number of grooves on the parts surface is determined based on the average number of grooves on the parts surface, by obtaining data on the number of grooves on several parts surfaces in each storage area, solving the average number of grooves on the parts surface, and determining the average number of grooves on the parts surface as the threshold value for the number of grooves on the parts surface, which will not be elaborated 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 is unable to 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. In addition, 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 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 effect of the above two environmental factors, the parts are caused to... Corrosion and attachment and deposition of foreign matter on the threaded part affect 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. In addition, the more threads they have, the more difficult it is to clean up once particles settle on the surface of the parts, resulting in long-term expansion and accumulation of particles, 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 when used; in addition, the particles may also absorb more moisture, aggravating the corrosion and rusting process of 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 warehouse outbound sequence.

[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 in the interval [2.15,2.35].

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

[0080] If the environmental interference label of the component is a strong environmental interference label, 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, and the particle deposition area on the surface of the component is extracted every predetermined detection period to determine the quality level of the component, and the order of the components being 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 of the components leaving the warehouse is determined according to the standard conditions for leaving the warehouse.

[0082] Specifically, see Figure 4 As shown, it is a logical 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 each adjacent component is less than the average shortest distance threshold, it is determined that the component does 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 spacing threshold is preset, and the surface image data of components stored in several boxes are obtained, and the average shortest spacing data between the corresponding stacking contours of adjacent components in the upper layer of each box are called to solve the average shortest spacing mean, and the average shortest spacing threshold is set to be determined between 0.85 times and 0.9 times the average shortest spacing mean. This will not be repeated.

[0086] Specifically, this embodiment characterizes the pores formed by the stacking of each component through the average shortest distance between the component stacking contour and the adjacent component stacking contour. When the components are stacked too close, under the influence of the humidity of the storage environment, the overall interior formed by the stacking of the components will form a microenvironment with a higher relative humidity, 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, powdery or flaky deposits 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 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, in the process of electrochemical corrosion, local corrosion will occur on the surface of the component to form 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 begin 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 component and the status of the component itself according to the average shortest spacing of the stacking contours of each adjacent component, and provides support for the subsequent determination of the corresponding quality level of the component, and then determines the order of the components to be discharged from the warehouse to maintain the stability of the performance of the components. For example, according to a reasonable order of discharge, the components that are first stored in the warehouse are given priority to be discharged, which can ensure to a certain extent that the performance of the component is still within an acceptable range when in use. According to the quality level grade modified by the detection situation, the order of discharge is adaptively adjusted, and the components with lower quality levels are discharged earlier, so as to optimize the storage inventory management and reduce the backlog of component inventory.

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

[0088] Acquire a pre-stored sample image of a component surface;

[0089] Matching the component surface image with the component surface sample image to determine the 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 a difference between the surface profile and 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, the component surface image in this embodiment refers to the image of the contour of the spiral structure on the surface of the component itself, which will not be described in detail.

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

[0094] In some possible implementations, the difference between 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. Otherwise, if the values ​​at a certain pixel position are different, the difference is not 0. The area composed of pixels whose difference is not 0 is the non-overlapping area, and the area of ​​the non-overlapping area is then determined, that is, the particle deposition area on the surface of the component.

[0095] Among them, the sample images of the component surface are pre-stored in the relevant database.

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

[0097] According to a preset correspondence between a particle deposition area on a component surface and a 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 correspondence between the particle deposition area on the surface of the component and the quality level of the component in the following manner:

[0099] Divide the particle deposition area on the surface of the component into three preset area intervals and set three levels of quality levels;

[0100] If the particle deposition area on the surface of the component 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 surface of the component is within the 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 surface of the component is within the third preset area interval [1.5M0, +∞), the component is determined to be of the third quality level;

[0103] Among them, the higher the quality level of the parts, the better the quality and condition of the parts.

[0104] For determining the preset area interval, this implementation first determines a particle deposition area threshold on the surface of a component, and determines the preset area interval based on the particle deposition area threshold, wherein the particle deposition area historical data on the surface of the component is extracted by acquiring relevant historical data obtained by testing the components that meet the stacking and placement standards for several times, and the particle deposition area mean is solved, and the particle deposition area mean is determined 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 affected by 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 removing the parts from the warehouse 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 leaving the warehouse.

[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 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 enter the warehouse 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.

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

[0112] Wherein, the quality level grade 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 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 such an 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 a number of instructions for enabling a computer device (which can be a personal computer, a server, or a 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, etc. Various media that can store program codes.

[0115] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope 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; Determine 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, and generate an environmental interference label for the component based on the environmental impact characterization coefficient, so as to be synchronously recorded 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: Calling the surface image data of the parts to determine the average shortest distance between the corresponding stacking contours of each adjacent parts to determine whether the parts meet the stacking standards, extracting the particle deposition area on the surface of the parts every predetermined detection period to determine the quality level of the parts, and determining the order of the parts to be removed from the warehouse based on the quality level; Or, determining the order of the parts to be shipped out according to the standard conditions for shipping out; The storage environment characteristics include the particle concentration and air humidity in each of the storage areas.

2. The intelligent management method based on bill of materials according to claim 1, characterized in that: 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; The first environmental feature and the second environmental feature are weightedly summed to determine a coefficient representing the environmental impact of the component.

3. The intelligent management method based on bill of materials according to claim 1, characterized in that: 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.

4. The intelligent management method based on bill of materials according to claim 1, characterized in that: Detecting the components according to the corresponding environmental interference labels includes: If the environmental interference label of the component is a strong environmental interference label, 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, and the particle deposition area on the surface of the component is extracted every predetermined detection period to determine the quality level of the component, and the order of the components being 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 leaving the warehouse is determined according to the standard conditions for leaving the warehouse.

5. 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.

6. 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 at every predetermined detection period includes: Acquire a pre-stored sample image of the component surface; Matching the component surface image with the component surface sample image to determine the non-overlapping area; Obtain the area of ​​the non-overlapping region.

7. 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 a particle deposition area on a component surface and a 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.

8. 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 grade includes: The quality level is negatively correlated with the order in which parts are shipped out of the warehouse.

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

10. 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 quality level change records of the parts, etc. Wherein, the quality level grade 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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