Diversified integrated enterprise intelligent management platform

Abstract

The invention relates to the field of enterprise intelligent management, in particular to a diversified integrated enterprise intelligent management platform, and the platform comprises the steps: obtaining the product forging data of a to-be-produced order and the production work report data of a corresponding product in a plurality of process stages, and extracting the size structure features corresponding to the to-be-produced order; calculating a processing complex characterization value of a to-be-produced order by combining the combined forging product proportion, and marking the to-be-produced order; based on a marking result, performing data analysis on a production process of a product corresponding to the to-be-produced order; according to the production work report data and the marking result of the product, the temperature gradient difference of the combined forging product and the impurity accumulation amount on the surface of the product are determined, and whether the marked product is abnormal or not is verified; and comparing the quantity of the required packaging consumables corresponding to the remaining qualified products after removal with the consumable inventory, and judging whether to send out a consumable inventory early warning signal or not. According to the invention, the production quality and the product reliability can be ensured, and the digital and intelligent development of production management is promoted.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of enterprise intelligent management, and in particular to a diversified integrated enterprise intelligent management platform. BACKGROUND

[0002] With the deep transformation of manufacturing industry to intelligence and digitization, manufacturing enterprises focusing on forging production have upgraded their production management needs from single-link control to full-value-chain collaboration. Under this background, the three superimposed effects of industry demand upgrading, technology iteration driving, and traditional mode bottleneck formation highlight the urgency of building an integrated management platform. Therefore, a diversified integrated enterprise intelligent management platform emerges as the times require. This platform is not the application of a single technology, but the result of the coordinated development of multiple fields such as industrial communication technology, data storage and analysis technology, etc. Through technology collaboration, not only does it solve the pain points of forging production management, but also realizes the transformation from passive monitoring to active early warning, from experience-based decision-making to data-driven, and from decentralized management to integrated collaboration, providing core support for enterprises in intelligent competition.

[0003] Chinese patent application publication No. CN112381621A discloses a big data collaborative supervision platform and method, which includes a data acquisition module, a data statistics module, a big data analysis module, a commodity classification module, a data sharing module, a logistics management center, a warning module, a commodity satisfaction level division module, a commodity recommendation module, a trend analysis module, a manufacturer login module, a region division module, a merchant login module, and a region level setting module. The commodity recommendation module recommends high-priority commodities to customers, and the trend analysis module analyzes commodity sales trends based on commodity sales data and uploads the analysis data to the merchant login module and the manufacturer login module, facilitating timely response by merchants and manufacturers. The commodity sales supervision information is shared with logistics companies, manufacturers, and merchants, facilitating reasonable arrangement of commodity sales, production, and logistics scheduling, and improving efficiency.

[0004] However, the prior art still has the following problems, Key parameters in the production process of products rely on manual timing recording or single-machine device display, and data is scattered on different operation tables in different processes, lacking real-time centralized monitoring capability. Moreover, the data in each link is isolated, resulting in low efficiency of full-link management, and quality control focusing only on "finished product inspection", lacking dynamic risk control in the production process, leading to poor production efficiency. SUMMARY

[0005] To this end, the application provides a diversified integrated enterprise intelligent management platform to overcome the problems in the prior art that key parameters in the product production process rely on manual timing recording or single machine device display, data is scattered on different operation tables of different processes, real-time centralized monitoring capability is lacking, data of each link is isolated, leading to low whole-link management efficiency, quality control only focuses on "finished product inspection", lacking of dynamic risk control in the production process, resulting in poor production efficiency.

[0006] To achieve the above-mentioned purpose, the application provides a diversified integrated enterprise intelligent management platform, which comprises: a production information acquisition module, which is used to obtain product forging data of a to-be-produced order and production reporting data of corresponding products at several process stages, so as to extract size structure features corresponding to the to-be-produced order; a front analysis module, which is used to calculate a machining complexity representation value of the to-be-produced order based on the size structure features and a closed-die forging product proportion, so as to mark the to-be-produced order; a production analysis module, which is used to perform data analysis on a production process of a product corresponding to the to-be-produced order based on a marking result of the front analysis module, including, calling production reporting data of a same batch of products after completion of a forging process to a hot treatment equipment transfer process, so as to analyze a stress interference amplitude, construct a stress interference amplitude time domain change curve, and identify a stress abnormal time domain segment; obtaining a shortest close distance of a cold forging product and a hot forging product on a same transfer path in the stress abnormal time domain segment, combining a product form fluctuation feature, evaluating a transfer abnormal fluctuation representation parameter of a product on the corresponding transfer path, and determining whether to mark the product on the transfer path; a processing evaluation module, which is used to obtain corresponding production reporting data and marking results of a product after completion of a hot treatment process, determine a temperature gradient difference of a closed-die forging product and an impurity accumulation amount on a product surface, and verify whether the marked product is abnormal; a packaging confirmation module, which is used to compare a required packaging consumable amount of a qualified product remaining after the marked product with an abnormality is removed with a consumable inventory amount, so as to determine whether to send a consumable inventory early warning signal.

[0007] Further, the front analysis module is used to calculate the machining complexity representation value of the to-be-produced order, including: calling size structure features corresponding to the to-be-produced order, including a non-symmetrical structure product proportion and a maximum structure difference degree of a non-symmetrical structure product; taking a sum of a ratio of the non-symmetrical structure product proportion to a non-symmetrical structure product proportion threshold value and a ratio of the maximum structure difference degree of the non-symmetrical structure product to a maximum structure difference degree threshold value as a first machining complexity feature. The ratio of the proportion of forged and combined products to the threshold of the proportion of forged and combined products is used as the second processing complexity feature; The weighted summation of the first processing complexity feature and the second processing complexity feature is used to determine the processing complexity representation value.

[0008] Furthermore, the pre-analysis module is used to mark the orders to be produced, including: If the processing complexity characterization value of the order to be produced is greater than or equal to the processing complexity characterization threshold, then the order to be produced is marked.

[0009] Furthermore, the production analysis module is used to perform data analysis on the production process of the product corresponding to the order to be produced, based on the labeling results of the pre-analysis module, including: If any pending production order is marked, then data analysis is performed on the production process of the product corresponding to that pending production order.

[0010] Furthermore, the production analysis module is used to identify stress anomaly time domain segments, including: Used to determine the variance of stress amplitude in several time-domain segments corresponding to the time-domain variation curve of stress interference amplitude; If there exists a stress amplitude variance greater than or equal to the stress amplitude variance threshold in any time domain segment, then the time domain segment is determined as the stress anomaly time domain segment. The stress interference amplitude is the amplitude of the stress applied to the product.

[0011] Furthermore, the production analysis module is used to evaluate the characteristic parameters of abnormal fluctuations in product transfer along the corresponding transfer path, including: Used to recall the shape fluctuation characteristics of a product, including the sliding offset distance of symmetrical structure products and the tilt angle of asymmetrical structure products. The ratio of the shortest proximity threshold to the shortest proximity of cold-forged products and hot-forged products on the same transfer path is used as the first transfer anomaly feature. The sum of the ratio of the sliding offset distance of a symmetrical structure product to the sliding offset distance threshold and the ratio of the tilt angle of an asymmetrical structure product to the tilt angle threshold is used as the second transfer anomaly feature. The first transfer anomaly feature and the second transfer anomaly feature are weighted and summed to determine the transfer anomaly fluctuation characterization parameter.

[0012] Furthermore, the production analysis module is used to determine whether to mark the products on the transfer path, including: If the abnormal fluctuation characterization parameter of the product on the transfer path is greater than or equal to the threshold of the abnormal fluctuation characterization parameter, then it is determined that the product on the transfer path should be marked.

[0013] Further, the processing evaluation module is used to verify whether the labeled product has an abnormality, comprising: If the temperature gradient difference of the forged product is greater than the temperature gradient difference threshold value, or / and the impurity accumulation amount on the product surface is greater than the impurity accumulation amount threshold value, it is determined that the labeled product has an abnormality.

[0014] Further, the packaging confirmation module is used to determine whether to issue a consumable inventory warning signal, comprising: a consumable difference value is calculated to calculate the required packaging consumable amount and the consumable inventory amount; If the consumable difference value is greater than or equal to the consumable difference value threshold value, it is determined that the consumable inventory warning signal does not need to be issued.

[0015] Further, the production analysis module is used to construct a stress interference amplitude time domain change curve, comprising: a rectangular coordinate system is constructed by taking time as the horizontal axis and stress interference amplitude as the vertical axis; coordinate points of the stress interference amplitude at each time are calibrated in the rectangular coordinate system; the stress interference amplitude time domain change curve is obtained by connecting each coordinate point with a smooth curve.

[0016] Compared with the prior art, the production information acquisition module is provided to obtain product forging data of a to-be-produced order and production report data of the corresponding product at several process stages, so as to extract size structure features corresponding to the to-be-produced order; the front analysis module is used to calculate the machining complexity representation value of the to-be-produced order in combination with the size structure features and the proportion of the forged product, so as to mark the to-be-produced order; the production analysis module is used to perform data analysis on the production process of the product corresponding to the to-be-produced order based on the marking result of the front analysis module; the processing evaluation module is used to obtain the production report data corresponding to the product after completing the heat treatment process and the marking result of the product, to determine the temperature gradient difference of the forged product and the impurity accumulation amount on the product surface, so as to verify whether the labeled product has an abnormality; the packaging confirmation module is used to compare the required packaging consumable amount of the qualified product remaining after the labeled product with an abnormality is removed with the consumable inventory amount, to determine whether to issue a consumable inventory warning signal. The present application analyzes the parameters of each link of the production process, verifies the quality, monitors the product through multi-dimensional data, ensures the production quality and product reliability, and promotes the development of digital and intelligent production management.

[0017] Especially, the application sets a pre-analysis module, based on the consideration of the complexity and diversity of the process and scheduling involved in the production of the order to be produced, among which, compared with symmetrical structure products, asymmetrical structure products have higher process complexity in the production process. For symmetrical structure products, standardized molds, symmetrical clamps or uniform processing parameters can be used for efficient production, while for asymmetrical structure products, special molds need to be designed according to the asymmetrical characteristics, the clamping angle needs to be adjusted, and even multi-process step processing is needed to avoid processing interference, resulting in an increase in single product processing time, and the stress distribution and size precision control of asymmetrical structure products are more difficult, therefore, for the production order that both symmetrical structure products and asymmetrical structure products have, there is complexity and diversity in the processing difficulty and quality control. The proportion of asymmetrical structure products directly reflects the scale complexity of order production. Even for a plurality of asymmetrical structure products, due to the differences in structure, the structural difference degree reflects the complexity and diversity of asymmetrical structure products in the production order, based on this complexity and diversity, in the actual production process, molds may need to be frequently replaced, equipment parameters may need to be adjusted, resulting in an increase in production switching time, a decrease in equipment utilization, and the need for different processing equipment, increasing the complexity of production scheduling, and prone to process conflicts or resource mismatches. The maximum structural difference degree reflects the diversity and complexity of order production, that is, the greater the individual difference, the higher the coordination difficulty and uncertainty of the overall production process. And the sensitivity of the forgings to process parameters is high, and the risk of structural and internal organization abnormalities is more likely to occur in the production process. Therefore, the application quantifies the demand diversity and order processing complexity of the order to be produced from two dimensions of complex product quantity and individual difference, calculates the processing complexity representation value to represent the comprehensive complexity of the actual production of the order to be produced, and the yield of complex products and the dispersion degree of process demand, providing data support for subsequent marking of the order to be produced. The application monitors the products through multi-dimensional data, ensures the production quality and product reliability, and promotes the development of production management digitalization and intelligentization.

[0018] Especially, the application sets a production analysis module, considers the transfer instability existing in the transfer process of the finished forging product, and the transfer process of the finished forging product to the heat treatment equipment may occur at the same path segment of the cold forging product and the hot forging product relative to the simultaneous transfer operation, and if the cold forging product and the hot forging product are too close in the transfer process, collision interference may occur due to deformation. The shortest approaching distance between the cold forging product and the hot forging product quantifies the influence of the physical interference risk on the transfer stability and the product quality; at the same time, combined with the form fluctuation characteristics of the product, the sliding offset distance of the symmetrical structure product reflects the stability of the symmetrical structure product transferred in a stacking manner and the possible size precision risk, since the symmetrical structure product depends on the regular form to realize stable stacking, and the inclination angle of the asymmetrical structure product reflects the structural integrity and stress concentration risk, further quantifying the potential structural damage and process chain error risk, the asymmetrical structure product is easy to incline in the transfer due to the center of gravity offset, and the weak part of the asymmetrical structure bears additional torque when inclining, which may cause plastic deformation, and even may cause structure fracture or contact with other objects after inclining, causing local pressure to produce a depression, and damaging the design function of the asymmetrical structure. In addition, when the product in the inclined state enters the subsequent process, the positioning accuracy decreases, which may cause the machining error to be enlarged, further increasing the risk of scrapping. Therefore, the application reflects the stability of the finished forging product in the transfer process, the interaction risk between products and the potential quality risks that may exist from different dimensions, and then quantifies the quality robustness of the product in the transfer process by evaluating the transfer abnormal fluctuation characteristic parameters, to provide data support for subsequent determination of whether to mark the product on the transfer path. The application monitors the product through multi-dimensional data, ensures the production quality and product reliability, and promotes the development of digital and intelligent production management.

[0019] Especially, the application sets a processing evaluation module, comprehensively considers the quality risks of various types of products covered in the production order, wherein the quality risks of the forged product often have concealment. The surface impurities of various types of products may cause local corrosion or performance degradation, and the product needs to be controlled for quality, and then it is verified whether the marked product has an abnormality, the internal performance defects and surface quality defects of the product after the heat treatment process are accurately captured, and the product with potential risks is prevented from flowing into the market. The application monitors the product through multi-dimensional data, ensures the production quality and product reliability, and promotes the development of digital and intelligent production management. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1 The functional module diagram of the diversified integrated enterprise intelligent management platform of the application embodiment; Figure 2 The logic judgment diagram of the application embodiment for marking the production order Figure 3 A logic decision diagram for determining whether to mark products on a transfer path for an embodiment of the invention; Figure 4 A logic decision diagram for determining whether to issue a consumable inventory early warning signal for an embodiment of the invention. DETAILED DESCRIPTION

[0021] In order to make the objects and advantages of the present application clearer, the following further describes the present application with reference to embodiments. It should be understood that the specific embodiments described herein are merely intended to explain the present application and not to limit the present application.

[0022] The preferred embodiments of the present application are described below with reference to the accompanying drawings. Those skilled in the art will understand that the embodiments are merely intended to explain the technical principles of the present application and not to limit the protection scope of the present application.

[0023] It should be noted that, in the description of the present application, the terms indicating the direction or positional relationship such as "upper", "lower", "inner", etc. are based on the direction or positional relationship shown in the drawings, which is merely for the convenience of description and does not indicate or imply that the device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0024] In addition, it should also be noted that, in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connecting" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integral connection; it can be mechanical connection, or electrical connection. Those skilled in the art can understand the specific meaning of the above terms in the present application according to the specific circumstances.

[0025] Please refer to Figure 1 As shown in the figure, it is a functional module diagram of the diversified integrated enterprise intelligent management platform of the embodiment of the present application, the diversified integrated enterprise intelligent management platform of the embodiment of the present application comprises: A production information acquisition module is used to obtain product forging data of a to-be-produced order and production reporting data of corresponding products at a plurality of process stages, so as to extract size structure features corresponding to the to-be-produced order; A front analysis module is used to calculate a machining complexity representation value of the to-be-produced order based on the size structure features and a closed-die forging product proportion, so as to mark the to-be-produced order; A production analysis module is used to perform data analysis on a production process of a product corresponding to the to-be-produced order based on a marking result of the front analysis module, including, The production report data of the same batch of products after completing the forging process is transferred to the heat treatment equipment to analyze the stress interference amplitude, construct the stress interference amplitude time domain change curve, and identify the stress abnormal time domain section; The shortest approaching distance of the cold forging product and the hot forging product on the same transfer path in the stress abnormal time domain section is obtained, and the transfer abnormal fluctuation characteristic parameter of the product on the corresponding transfer path is evaluated in combination with the form fluctuation characteristics of the product to determine whether to mark the product on the transfer path; The processing evaluation module is used to obtain the corresponding production report data and the marking result of the product after completing the heat treatment process, determine the temperature gradient difference of the forged product and the impurity accumulation amount on the product surface, and verify whether the marked product is abnormal; The packaging confirmation module is used to compare the required packaging consumable amount of the qualified product remaining after the marked product with an abnormality is removed with the consumable inventory to determine whether to issue a consumable inventory warning signal.

[0026] Specifically, the product forging data includes size structure characteristics, forged product proportion, required packaging consumable amount of the remaining qualified product, and consumable inventory, etc. The production report data includes stress interference amplitude, shortest approaching distance of the cold forging product and the hot forging product on the same transfer path, form fluctuation characteristics, temperature gradient difference of the forged product, and impurity accumulation amount on the product surface, etc.

[0027] Specifically, the process stage includes raw material preparation and cutting process, heating process, forging process, and heat treatment process, etc.

[0028] Specifically, the product forging data can be directly obtained from the to-be-produced order, wherein the ratio of the asymmetric structure product to the total number of products is taken as the asymmetric structure product proportion. The ratio of the number of forged products to the total number of products is taken as the forged product proportion. By extracting the three-dimensional images of each asymmetric structure product covered in the to-be-produced order, each three-dimensional image is matched, the mean square error is determined based on the direct comparison method of pixels, and the structure difference degree is taken as the mean square error. Correspondingly, the above method can also be used to determine the impurity accumulation amount on the product surface. By calling the model graph of the corresponding product in the production data, the model graph and the product image after completing the heat treatment process are matched to determine the impurity accumulation amount on the product surface by the above method, which will not be repeated here.

[0029] Specifically, the collection method of the stress interference amplitude is not specifically limited. A pressure sensor can be arranged on the support body of the product to obtain the stress amplitude applied by the product, which will not be repeated here.

[0030] Specifically, the shortest proximity distance and the form fluctuation characteristics of the cold forging product and the hot forging product on the same transfer path are not limited in the acquisition manner, and image data collected by an adjustable angle camera installed in the product production site can be called to determine the relevant data by combining the relevant image analysis algorithm. This is prior art and will not be described again. The maximum distance between the current stacking profile and the initial stacking profile is determined as the sliding offset distance. The line connecting the center of the current stacking profile and the center of the support body is determined as the reference line, and the included angle between the reference line and the vertical reference line is the inclination angle of the asymmetric structure product.

[0031] Specifically, the forged product refers to a product made by simultaneously forming a plurality of small forgings through a one-time forging process. For example, for a plurality of forgings with small size and similar shape, the blanks can be combined and placed in a forging equipment for processing, and then separated into individual products. Based on this, the temperature gradient difference of the forged product can be obtained by taking the edges of each blank corresponding to the combined blank after forging as the basis for gradient division, and collecting the temperature of each gradient by an infrared thermal imager to determine the temperature gradient difference. This will not be described again.

[0032] Specifically, the specific structure of the pre-analysis module, the production analysis module, the processing evaluation module, and the packaging confirmation module is not limited, and each unit thereof can be composed of a logic component or a combination of logic components, including a field programmable processor, a computer, or a microprocessor in a computer.

[0033] Specifically, the pre-analysis module is used to calculate the processing complexity representation value of the order to be produced, including: to call the size structure characteristics corresponding to the order to be produced, including the proportion of asymmetric structure products and the maximum structure difference of asymmetric structure products; to take the sum of the ratio of the proportion of asymmetric structure products to the asymmetric structure product proportion threshold value and the ratio of the maximum structure difference of asymmetric structure products to the maximum structure difference threshold value as the first processing complexity feature; to take the ratio of the proportion of forged products to the forged product proportion threshold value as the second processing complexity feature; to take the weighted sum of the first processing complexity feature and the second processing complexity feature as the processing complexity representation value.

[0034] Specifically, the process complexity of the asymmetric structure product is high, and the direct difference degree of different asymmetric structure products further increases the complexity of production. In particular, most asymmetric structure products need to develop special molds, and the machining precision of the molds is extremely high. The core of the die design of the cogging product, such as the one-time forming of multiple small billets, is the arrangement and layout, for example, how to reasonably distribute multiple billets in the same die cavity. The overall design logic is more inclined to standardization combination, and its complexity is lower than that of the customized mold of the asymmetric structure. Moreover, due to the structural differences between the asymmetric structure products, the parameter adjustment involved in the production process is relatively tedious. The product forged based on the cogging process realizes partial reuse of parameters by adjusting the arrangement density in the die cavity, and the debugging cost is lower. Therefore, a higher weight coefficient is assigned to the first machining complexity feature calculated based on the size and structure characteristics, which is set to 0.6. Correspondingly, the weight coefficient of the second machining complexity feature calculated based on the proportion of the cogging product is set to 0.4.

[0035] In the embodiment, the purpose of setting the asymmetric structure product proportion threshold, the maximum structure difference threshold, and the cogging product proportion threshold is to represent the case that the comprehensive complexity of the actual production of the to-be-produced order is high, and the dispersion degree of process demand is high. By obtaining product forging data of a plurality of historical to-be-produced orders, calling asymmetric structure product proportion data, maximum structure difference data of asymmetric structure products, and cogging product proportion data, solving the mean value of the asymmetric structure product proportion, the mean value of the maximum structure difference of the asymmetric structure product, and the mean value of the cogging product proportion, and corresponding as the reference value under normal circumstances, based on the purpose of setting the above three thresholds, the asymmetric structure product proportion threshold is determined as the product of the mean value of the asymmetric structure product proportion and the first deviation coefficient, the maximum structure difference threshold is determined as the product of the mean value of the maximum structure difference and the second deviation coefficient, and the cogging product proportion threshold is determined as the product of the mean value of the cogging product proportion and the third deviation coefficient. The first deviation coefficient is selected in the interval [1.2, 1.25], and is preferably 1.2 in implementation. The second deviation coefficient is selected in the interval [1.15, 1.2], and is preferably 1.15 in implementation. The third deviation coefficient is selected in the interval [1.2, 1.25], and is preferably 1.2 in implementation.

[0036] Specifically, the present application provides a pre-analysis module, which considers the complexity and diversity of the process and scheduling involved in the production of the order to be produced. Non-symmetrical structure products, such as irregular shape, asymmetric stress surface, and products with significant dimensional differences in multiple directions, have higher process complexity in the production process compared to symmetrical structure products. For symmetrical structure products, standardized molds, symmetrical clamps, or uniform processing parameters can be used to achieve efficient production. However, for non-symmetrical structure products, special molds need to be designed, the clamping angle needs to be adjusted, and even multiple-step processing is required to avoid processing interference, resulting in increased processing time for single products and greater difficulty in controlling stress distribution and dimensional accuracy. Therefore, for production orders that have both symmetrical structure products and non-symmetrical structure products, there is complexity and diversity in both processing difficulty and quality control. For example, a higher proportion of non-symmetrical structure products means that more specialized process resources and longer processing cycles are required for the order, directly reflecting the scale complexity of order production. Even for multiple non-symmetrical structure products, the structural difference degree reflects the complexity and diversity of non-symmetrical structure products in the production order. Based on this complexity and diversity, molds may need to be frequently replaced, equipment parameters may need to be adjusted, resulting in increased production switching time, decreased equipment utilization, and the need for different processing equipment, increasing the complexity of production scheduling and leading to process conflicts or resource mismatches. For example, a larger maximum structural difference degree means that the process requirements of non-symmetrical products in the order are more dispersed, and the production system needs to cope with more diversified processing requirements, reflecting the complexity of order production diversity, i.e., the greater the individual differences, the higher the difficulty and uncertainty of overall production process coordination. Forging products are highly sensitive to process parameters, and are more likely to experience structural and internal organization abnormalities during production. Therefore, the present application quantifies the demand diversity and order processing complexity of the order to be produced from two dimensions of complex product quantity and individual difference, calculates the processing complexity representation value to represent the comprehensive complexity of actual production of the order to be produced, and provides data support for subsequent labeling of the order to be produced. The present application monitors products through multi-dimensional data to ensure production quality and product reliability, and promotes the development of digital and intelligent production management.

[0037] Specifically, please refer to Figure 2 The pre-analysis module is used to label the order to be produced, including: If the processing complexity representation value of the order to be produced is greater than or equal to the processing complexity representation threshold value, the order to be produced is labeled; If the processing complexity representation value of the to-be-produced order is less than the processing complexity representation threshold value, the to-be-produced order does not need to be marked.

[0038] The processing complexity representation threshold value is determined in advance, and the processing complexity representation value is determined as the processing complexity representation threshold value when the asymmetric structure product proportion is equal to the asymmetric structure product proportion threshold value, the maximum structure difference degree of the asymmetric structure product is equal to the maximum structure difference degree threshold value, and the integrated forging product proportion is equal to the integrated forging product proportion threshold value.

[0039] Specifically, the production analysis module is configured to perform data analysis on the production process of the product corresponding to the to-be-produced order based on the marking result of the pre-analysis module, including: If any to-be-produced order is marked, the production process of the product corresponding to the to-be-produced order is analyzed.

[0040] Specifically, the production analysis module is configured to identify a stress abnormal time domain segment, including: configured to determine the stress amplitude variance of a plurality of time domain segments corresponding to the stress interference amplitude time domain variation curve; If the stress amplitude variance of any time domain segment is greater than or equal to the stress amplitude variance threshold value, the time domain segment is determined as the stress abnormal time domain segment; The stress interference amplitude is the amplitude of the stress applied by the product.

[0041] In this embodiment, the purpose of setting the stress amplitude variance threshold value is to represent the case that the stress interference amplitude of the product on the support body is large and the transfer stability of the product carried by the support body is poor. Therefore, the stress amplitude variance threshold value is selected in the interval [0.45, 0.5], and preferably 0.45 in implementation.

[0042] Specifically, the production analysis module is configured to evaluate a transfer abnormal fluctuation representation parameter of the product on the corresponding transfer path, including: configured to call the form fluctuation feature of the product, including the sliding offset distance of the symmetric structure product and the inclination angle of the asymmetric structure product; configured to take the shortest proximity distance threshold value and the ratio of the shortest proximity distance of the cold forging product and the hot forging product on the same transfer path as the first transfer abnormal feature; configured to take the sum of the ratio of the sliding offset distance of the symmetric structure product to the sliding offset distance threshold value and the ratio of the inclination angle of the asymmetric structure product to the inclination angle threshold value as the second transfer abnormal feature; configured to take the weighted sum of the first transfer abnormal feature and the second transfer abnormal feature as the transfer abnormal fluctuation representation parameter.

[0043] Specifically, in the transfer process of the products after forging, the symmetrical structure products, such as round and square forgings, are usually transferred by stacking, such as multi-layer stacking, and the sliding offset distance is directly related to the stability of the stacking, and the risk of sliding offset is usually linked, and a single product offset may trigger a chain sliding; and the gravity offset of the asymmetrical structure product may cause local stress overload, and trigger micro-cracks in the weak structure part. In addition, the transfer process in the inclined state may exacerbate the wear of the asymmetrical part, further damaging the product form. In contrast, the shortest proximity distance feature of cold forging and hot forging products is mainly related to the cold and hot interaction between products, for example, the size change caused by the heat conduction of hot forgings to cold forgings, but this influence is usually slow, therefore, the second transfer abnormal feature based on the form fluctuation feature calculation is given a higher weight coefficient, which is set to 0.6, and the weight coefficient of the first transfer abnormal feature calculated based on the shortest proximity distance of the cold forging product and the hot forging product on the same transfer path is set to 0.4.

[0044] In the embodiment, the purpose of setting the shortest proximity distance threshold, the sliding offset distance threshold and the inclination angle threshold is to represent the case that the stability of the product in the transfer process is poor, the interaction risk between the products is high, and the possibility of potential quality hidden danger is large. By obtaining the product report data of a plurality of historical to-be-produced orders, calling the shortest proximity distance data of the cold forging product and the hot forging product on the same transfer path, the sliding offset distance data of the symmetrical structure product and the inclination angle data of the asymmetrical structure product, solving the mean value of the shortest proximity distance, the mean value of the sliding offset distance and the mean value of the inclination angle, and corresponding as the reference value in the normal case, based on the purpose of setting the above three thresholds, the shortest proximity distance threshold is determined as the product of the mean value of the shortest proximity distance and the first offset coefficient, the sliding offset distance threshold is determined as the product of the mean value of the sliding offset distance and the second offset coefficient, and the inclination angle threshold is determined as the product of the mean value of the inclination angle and the third offset coefficient. The first offset coefficient is selected in the interval [0.9, 0.95], and in the implementation, it is preferably 0.9. The second offset coefficient is selected in the interval [1.05, 1.1], and in the implementation, it is preferably 1.05. The third offset coefficient is selected in the interval [1.1, 1.15], and in the implementation, it is preferably 1.1.

[0045] Specifically, the present application provides a production analysis module. The transfer instability of the finished forging product is considered. During the process of transferring the finished forging product to the heat treatment equipment, the cold forging product and the hot forging product may be transferred at the same time. The cold forging product has the characteristics of room temperature, high hardness and low plasticity. The hot forging product has the characteristics of high temperature, low hardness and high plasticity. If the cold forging product and the hot forging product are too close during the transfer process, they may collide due to deformation. For example, the high temperature of the hot forging product is conducted to the cold forging product, causing the cold forging product to locally deform due to temperature rise. Or the cold forging product collides with the hot forging product due to deformation, causing the surface of the hot forging product to be concave, and the cold forging product itself may also produce micro-cracks due to impact. The shortest approaching distance between the cold forging product and the hot forging product is quantified to reflect the influence of the physical interference risk on the transfer stability and the product quality. At the same time, the form fluctuation characteristics of the product are combined, that is, the sliding offset distance of the symmetrical structure product and the inclination angle of the asymmetrical structure product. The sliding offset distance of the symmetrical structure product reflects the stability of the symmetrical structure product transferred in a stacking manner and the possible size precision risk. Since the symmetrical structure product relies on the regular form to realize stable stacking, if the offset distance is too large, it indicates that deformation, vibration or insufficient friction of the supporting tool occurs during the transfer process, causing the stack to be loose, which may further cause the stack to collapse, causing the products to be extruded and deformed. Or the product collides with the transfer equipment, such as the conveyor belt and the rack, causing edge wear, size difference, etc. At the same time, the inclination angle of the asymmetrical structure product reflects the structural integrity and stress concentration risk, further quantifying the potential structural damage and process chain error risk. The asymmetrical structure product is easy to tilt during transfer due to the offset of the center of gravity. The weak part of the asymmetrical structure bears an additional moment when it tilts, which may cause plastic deformation, even may cause structure fracture or contact with other objects after tilting, causing local indentation under pressure, damaging the design function of the asymmetrical structure. In addition, the product in the tilted state enters the subsequent process, such as heat treatment, and the positioning accuracy decreases, which may cause the machining error to be amplified, further increasing the risk of scrap. Therefore, the present application reflects the stability of the finished forging product during the transfer process, the interaction risk between the products and the potential quality hidden danger from different dimensions, and then quantifies the quality robustness of the product during the transfer process by evaluating the transfer abnormal fluctuation characteristic parameter, to provide data support for subsequent determination whether to mark the product on the transfer path. The present application monitors the product through multi-dimensional data to ensure production quality and product reliability, and promotes the development of digital and intelligent production management.

[0046] Specifically, please refer to Figure 3 As shown in the logic determination diagram for determining whether to mark the product on the transfer path of the embodiment of the present application, the production analysis module is used to determine whether to mark the product on the transfer path, comprising: If the transfer abnormal fluctuation characteristic parameter of the product on the transfer path is greater than or equal to the transfer abnormal fluctuation characteristic parameter threshold value, it is determined that the product on the transfer path is labeled; If the transfer abnormal fluctuation characteristic parameter of the product on the transfer path is less than the transfer abnormal fluctuation characteristic parameter threshold value, it is determined that the product on the transfer path does not need to be labeled.

[0047] The transfer abnormal fluctuation characteristic parameter threshold value is predetermined, and the transfer abnormal fluctuation characteristic parameter determined when the shortest close distance threshold value is equal to the shortest close distance of the cold forging product and the hot forging product on the same transfer path, the sliding offset distance of the symmetrical structure product is equal to the sliding offset distance threshold value, and the inclination angle of the asymmetrical structure product is equal to the inclination angle threshold value is determined as the transfer abnormal fluctuation characteristic parameter threshold value.

[0048] Specifically, the processing evaluation module is used to verify whether the labeled product is abnormal, including: If the temperature gradient difference of the forged product is greater than the temperature gradient difference threshold value, or / and the impurity accumulation amount on the surface of the product is greater than the impurity accumulation amount threshold value, it is determined that the labeled product is abnormal.

[0049] In the embodiment, the purpose of setting the temperature gradient difference threshold value and the impurity accumulation amount threshold value is to represent the case where the product after the heat treatment process has a higher possibility of potential quality risk. By obtaining the production report history data corresponding to the product after completing the production process, calling the temperature gradient difference history data and the impurity accumulation amount history data of the forged product, solving the temperature gradient difference mean value and the impurity accumulation amount mean value, and corresponding as the reference value under normal circumstances, the purpose of setting the above two threshold values is to determine the temperature gradient difference threshold value as the product of the temperature gradient difference mean value and the gradient deviation coefficient, and the impurity accumulation amount threshold value is determined as the product of the impurity accumulation amount mean value and the accumulation deviation coefficient. The gradient deviation coefficient is selected within the interval [1.1, 1.15], and the implementation is preferably 1.1. The accumulation deviation coefficient is selected within the interval [1.1, 5, 1.2], and the implementation is preferably 1.15.

[0050] Specifically, please refer to Figure 4 As shown in the figure, it is a logic determination diagram for determining whether to issue a consumable inventory warning signal according to the embodiment of the application. The packaging confirmation module is used to determine whether to issue a consumable inventory warning signal, including: A consumable difference value is used to calculate the required packaging consumable amount and the consumable inventory amount. If the consumable difference value is greater than or equal to the consumable difference value threshold value, it is determined that the consumable inventory warning signal does not need to be issued; If the consumable difference value is less than the consumable difference value threshold value, it is determined that the consumable inventory warning signal is issued.

[0051] In this embodiment, the purpose of setting the consumable difference threshold is to represent the shortage of the inventory of the packaging consumables, which has a greater impact on the timely packaging of subsequent products, and even easily leads to the delay of delivery. Therefore, the consumable difference between the required packaging consumables of the to-be-produced order and the inventory of the consumables is taken as the remaining inventory of the consumables after the to-be-produced order is completed. Considering the factors such as the transportation time limit of the consumables, the required packaging consumable amount of the next to-be-produced order is called, and 50% of the required packaging consumable amount is taken as the consumable difference threshold, which will not be repeated here.

[0052] Specifically, the present application sets a processing evaluation module to comprehensively consider the quality risks of various types of products covered in the to-be-produced order. The quality risks of the forged products often have concealment, for example, a too large temperature gradient difference of the forged product may cause internal stress concentration, and the cracking risk in subsequent use is high. The accumulation of surface impurities of various types of products may cause local corrosion or performance degradation, and the quality of the products needs to be controlled, and then it is verified whether the labeled products have abnormalities, the internal performance defects and surface quality defects of the products after the heat treatment process are accurately captured, and the products with potential risks are prevented from flowing into the market. The present application monitors the products through multi-dimensional data to ensure production quality and product reliability, and promotes the development of digital and intelligent production management.

[0053] Specifically, the production analysis module is used to construct a stress interference amplitude time domain change curve, comprising: used to construct a rectangular coordinate system with time as the horizontal axis and stress interference amplitude as the vertical axis; used to calibrate the coordinate points of the stress interference amplitude at each time in the rectangular coordinate system; used to connect each coordinate point by a smooth curve to obtain the stress interference amplitude time domain change curve.

[0054] Specifically, the way to construct the stress interference amplitude time domain change curve is not limited, for example, the stress interference amplitude time domain change curve can be fitted by Matlab related fitting software, which will not be repeated here.

[0055] So far, the technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Without deviating from the principles of the present application, those skilled in the art can make equivalent changes or replacements to related technical features, and the technical solutions after these changes or replacements will fall within the protection scope of the present application.

Claims

1. A diversified integrated enterprise intelligent management platform, characterized in that, The method comprises the following steps: a production information collection module is used to obtain product forging data of a to-be-produced order and production reporting data of corresponding products at several process stages, so as to extract size structure characteristics corresponding to the to-be-produced order; a pre-analysis module is used to calculate a machining complexity representation value of the to-be-produced order based on the size structure characteristics and a closed-die forging product proportion, so as to mark the to-be-produced order; a production analysis module is used to perform data analysis on a production process of products corresponding to the to-be-produced order based on a marking result of the pre-analysis module, including, calling production reporting data of a same batch product after a forging process to a hot treatment equipment transfer process, so as to analyze a stress interference amplitude, construct a stress interference amplitude time domain variation curve, and identify a stress abnormal time domain section; obtaining a shortest close distance of a cold forging product and a hot forging product on a same transfer path in the stress abnormal time domain section, combining product form fluctuation characteristics, evaluating a transfer abnormal fluctuation representation parameter of the product on the corresponding transfer path, and determining whether to mark the product on the transfer path; a processing evaluation module is used to obtain corresponding production reporting data and marking results of the product after a hot treatment process, determine a temperature gradient difference of a closed-die forging product and an impurity accumulation amount on a product surface, and verify whether the marked product is abnormal; a packaging confirmation module is used to compare a required packaging consumable amount of a qualified product remaining after the marked product with an abnormality is removed with a consumable inventory, so as to determine whether to send a consumable inventory early warning signal.

2. The integrated enterprise intelligence management platform of claim 1, wherein, The pre-analysis module is used to calculate the machining complexity representation value of the to-be-produced order, including: calling size structure characteristics corresponding to the to-be-produced order, including a non-symmetrical structure product proportion and a maximum structure difference degree of a non-symmetrical structure product; taking a sum of a ratio of the non-symmetrical structure product proportion to a non-symmetrical structure product proportion threshold value and a ratio of the maximum structure difference degree of the non-symmetrical structure product to a maximum structure difference degree threshold value as a first machining complexity characteristic; taking a ratio of the closed-die forging product proportion to a closed-die forging product proportion threshold value as a second machining complexity characteristic; performing weighted summation on the first machining complexity characteristic and the second machining complexity characteristic to determine the machining complexity representation value.

3. The integrated enterprise intelligence management platform of claim 2, wherein, The pre-analysis module is used to mark the to-be-produced order, including: if the machining complexity representation value of the to-be-produced order is greater than or equal to a machining complexity representation threshold value, marking the to-be-produced order.

4. The converged integrated enterprise intelligent management platform of claim 3, wherein, The production analysis module is used to perform data analysis on the production process of the products corresponding to the to-be-produced order based on the marking result of the pre-analysis module, including: if any to-be-produced order is marked, performing data analysis on the production process of the products corresponding to the to-be-produced order.

5. The unified integrated enterprise intelligence management platform of claim 1, wherein, The production analysis module is used to identify the stress abnormal time domain section, including: determining stress amplitude variances of several time domain sections corresponding to the stress interference amplitude time domain variation curve; if the stress amplitude variance of any time domain section is greater than or equal to a stress amplitude variance threshold value, determining the time domain section as the stress abnormal time domain section. The stress interference amplitude is a stress applied to the product.

6. The converged integrated enterprise intelligent management platform of claim 1, wherein, The production analysis module is configured to evaluate a transfer abnormal fluctuation characteristic parameter of the product on the transfer path, including: a sliding offset distance of a symmetric structure product and an inclination angle of an asymmetric structure product; a ratio of the shortest proximity distance threshold value and the shortest proximity distance of the cold forging product and the hot forging product on the same transfer path as the first transfer abnormal characteristic parameter; a ratio of the sliding offset distance of the symmetric structure product and the sliding offset distance threshold value and a ratio of the inclination angle of the asymmetric structure product and the inclination angle threshold value as the second transfer abnormal characteristic parameter; a weighted sum of the first transfer abnormal characteristic parameter and the second transfer abnormal characteristic parameter as the transfer abnormal fluctuation characteristic parameter.

7. The converged integrated enterprise intelligent management platform of claim 6, wherein, The production analysis module is configured to determine whether to mark the product on the transfer path, including: if the transfer abnormal fluctuation characteristic parameter of the product on the transfer path is greater than or equal to the transfer abnormal fluctuation characteristic parameter threshold value, it is determined that the product on the transfer path is marked.

8. The unified integrated enterprise intelligence management platform of claim 1, wherein, The processing evaluation module is configured to verify whether the marked product is abnormal, including: if the temperature gradient difference of the forged product is greater than the temperature gradient difference threshold value, or / and the impurity accumulation amount on the surface of the product is greater than the impurity accumulation amount threshold value, it is determined that the marked product is abnormal.

9. The unified integrated enterprise intelligence management platform of claim 1, wherein, The packaging confirmation module is configured to determine whether to issue a consumable inventory early warning signal, including: a consumable difference value between the required packaging consumable amount and the consumable inventory amount is calculated; if the consumable difference value is greater than or equal to the consumable difference value threshold value, it is determined that the consumable inventory early warning signal does not need to be issued.

10. The converged integrated enterprise intelligent management platform of claim 1, wherein, The production analysis module is configured to construct a stress interference amplitude time domain change curve, including: a rectangular coordinate system is constructed with time as the horizontal axis and the stress interference amplitude as the vertical axis; coordinate points of the stress interference amplitude at each time are calibrated in the rectangular coordinate system; the stress interference amplitude time domain change curve is obtained by connecting each coordinate point through a smooth curve.

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