A diversified integrated enterprise intelligent management platform

Abstract

The present application relates to the field of enterprise intelligent management, and more particularly to a diversified integrated enterprise intelligent management platform, the present application extracts the size structure characteristics corresponding to the order to be produced by obtaining the product forging data of the order to be produced and the production reporting data of the corresponding product at several process stages; combined with the calculation of the proportion of the forged product, the processing complexity representation value of the order to be produced is calculated, and the order to be produced is marked; based on the marking result, the production process of the product corresponding to the order to be produced is analyzed; according to the production reporting data and the marking result of the product, the temperature gradient difference of the forged product and the impurity accumulation amount on the surface of the product are determined, and whether the marked product exists abnormity is verified; the required packaging consumable amount corresponding to the remaining qualified product after elimination is compared with the consumable inventory, and whether the consumable inventory early warning signal is sent is determined. The present application can guarantee the production quality and product reliability, and promote the development of production management digitalization and intelligentization.

Description

Technical Field

[0001] This invention relates to the field of enterprise intelligent management, and in particular to a diversified and integrated enterprise intelligent management platform. Background Technology

[0002] As the manufacturing industry undergoes a profound transformation towards intelligent and digital transformation, manufacturing enterprises focusing on forging production are upgrading their production management needs from single-stage control to full-value-chain collaboration. Against this backdrop, the triple effect of upgraded industry demands, technological iteration, and bottlenecks in traditional models highlights the urgency of building an integrated management platform.

[0003] Therefore, diversified and integrated enterprise intelligent management platforms have emerged. These platforms are not applications of a single technology, but rather the product of the collaborative development of technologies from multiple fields, including industrial communication, data storage and analysis. Through technological collaboration, they not only solve the pain points of forging production management, but also achieve a transformation from passive monitoring to proactive early warning, from experience-based decision-making to data-driven approaches, and from decentralized management to integrated collaboration, providing core support for enterprises in intelligent competition.

[0004] Chinese Patent Application Publication No. CN112381621A discloses a big data collaborative supervision platform and method, including a data collection module, a data statistics module, a big data analysis module, a product classification module, a data sharing module, a logistics management center, an early warning module, a product satisfaction level classification module, a product recommendation module, a trend analysis module, a manufacturer login module, a regional classification module, a merchant login module, and a regional level setting module. The product recommendation module recommends high-priority products to customers, and the trend analysis module analyzes product sales trends based on sales data, uploading the analysis data to the merchant login module and the manufacturer login module. This facilitates timely responses from merchants and manufacturers, enabling the sharing of full-process product sales supervision information among logistics companies, manufacturers, and merchants. This facilitates the rational arrangement of product sales, production, and logistics scheduling, improving efficiency.

[0005] However, the following problems still exist in the existing technology.

[0006] Key parameters in the product manufacturing process rely on manual timed recording or display on stand-alone equipment. Data is scattered across different workstations, lacking real-time centralized monitoring capabilities. Furthermore, the data at each stage is isolated, resulting in low efficiency in the entire supply chain management. Quality control focuses only on "finished product inspection," lacking dynamic risk management of the production process, leading to poor production efficiency. Summary of the Invention

[0007] To address this, the present invention provides a diversified and integrated enterprise intelligent management platform to overcome the problems in the prior art, where key parameters in the product manufacturing process rely on manual timed recording or display on stand-alone equipment, data is scattered across different workstations, lacks real-time centralized monitoring capabilities, and data is isolated at each stage, resulting in low efficiency in the entire chain management, quality control only focuses on "finished product inspection," lacks dynamic risk control in the production process, and leads to poor production efficiency.

[0008] To achieve the above objectives, the present invention provides a diversified and integrated enterprise intelligent management platform, comprising:

[0009] The production information acquisition module is used to acquire the product forging data of the order to be produced and the production reporting data of the corresponding product at several process stages, so as to extract the size and structural features corresponding to the order to be produced.

[0010] The pre-analysis module is used to calculate the processing complexity characterization value of the order to be produced based on the size and structural features and the proportion of forged products, so as to mark the order to be produced;

[0011] The production analysis module is used to perform data analysis on the production process of the products corresponding to the orders to be produced, based on the labeling results of the pre-analysis module, including:

[0012] Production reporting data of the same batch of products after the forging process is completed and then transferred to the heat treatment equipment is used to analyze the stress interference amplitude, construct the stress interference amplitude time domain variation curve, and identify the stress anomaly time domain segment;

[0013] The shortest proximity distance between cold-forged and hot-forged products on the same transfer path within the stress anomaly time domain segment is obtained. Combined with the product's morphological fluctuation characteristics, the transfer anomaly fluctuation characterization parameters of the products on the corresponding transfer path are evaluated to determine whether the products on the transfer path should be marked.

[0014] The processing and evaluation module is used to obtain the production report data and product labeling results corresponding to the completion of the heat treatment process, determine the temperature gradient difference of the forged products and the amount of impurities accumulated on the product surface, so as to verify whether there are any abnormalities in the labeled products.

[0015] The packaging confirmation module is used to compare the required packaging material quantity for the remaining qualified products after removing the abnormal marked products with the consumable inventory quantity to determine whether to issue a consumable inventory warning signal.

[0016] Furthermore, the pre-analysis module is used to calculate the processing complexity characteristic value of the order to be produced, including:

[0017] Used to retrieve the size and structural features of the order to be produced, including the proportion of asymmetrical structure products and the maximum structural difference of asymmetrical structure products;

[0018] The sum of the ratio of the proportion of asymmetric structure products to the threshold of the proportion of asymmetric structure products and the ratio of the maximum structural difference of asymmetric structure products to the threshold of the maximum structural difference is used as the first processing complexity feature.

[0019] 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;

[0020] The weighted summation of the first processing complexity feature and the second processing complexity feature is used to determine the processing complexity representation value.

[0021] Furthermore, the pre-analysis module is used to mark the orders to be produced, including:

[0022] 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.

[0023] 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:

[0024] 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.

[0025] Furthermore, the production analysis module is used to identify stress anomaly time domain segments, including:

[0026] Used to determine the variance of stress amplitude in several time-domain segments corresponding to the time-domain variation curve of stress interference amplitude;

[0027] 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.

[0028] The stress interference amplitude is the amplitude of the stress applied to the product.

[0029] Furthermore, the production analysis module is used to evaluate the characteristic parameters of abnormal fluctuations in product transfer along the corresponding transfer path, including:

[0030] 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.

[0031] 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.

[0032] 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.

[0033] The first transfer anomaly feature and the second transfer anomaly feature are weighted and summed to determine the transfer anomaly fluctuation characterization parameter.

[0034] Furthermore, the production analysis module is used to determine whether to mark the products on the transfer path, including:

[0035] 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.

[0036] Furthermore, the processing and evaluation module is used to verify whether the labeled product has any anomalies, including:

[0037] If the temperature gradient difference of the forged product is greater than the temperature gradient difference threshold, or / and the amount of impurities accumulated on the product surface is greater than the impurity accumulation threshold, then the marked product is determined to be abnormal.

[0038] Furthermore, the packaging confirmation module is used to determine whether to issue a consumable inventory warning signal, including:

[0039] The material difference between the required packaging material quantity and the material inventory quantity is used to calculate the material difference.

[0040] If the consumable difference is greater than or equal to the consumable difference threshold, it is determined that there is no need to issue a consumable inventory warning signal.

[0041] Furthermore, the production analysis module is used to construct the time-domain variation curve of the stress interference amplitude, including:

[0042] This is used to construct a rectangular coordinate system with time as the horizontal axis and stress interference amplitude as the vertical axis;

[0043] Coordinate points used to calibrate the stress interference amplitude at each moment in the rectangular coordinate system;

[0044] This is used to connect the coordinate points through a smooth curve to obtain the time-domain variation curve of the stress interference amplitude.

[0045] Compared with existing technologies, this invention includes a production information acquisition module to obtain forging data of products for orders to be produced and production reporting data of corresponding products at several process stages, in order to extract the dimensional and structural features corresponding to the orders to be produced; a pre-analysis module to calculate the processing complexity characterization value of the orders to be produced by combining dimensional and structural features with the proportion of forged products, in order to mark the orders to be produced; a production analysis module to perform data analysis on the production process of the products corresponding to the orders to be produced based on the marking results of the pre-analysis module; a processing evaluation module to obtain the production reporting data and product marking results corresponding to the completion of the heat treatment process, to determine the temperature gradient difference of the forged products and the amount of impurities accumulated on the product surface, in order to verify whether there are any abnormalities in the marked products; and a packaging confirmation module to compare the required packaging material quantity of the remaining qualified products after removing the marked products with abnormalities with the material inventory quantity, in order to determine whether to issue a material inventory warning signal. This invention analyzes the parameters of each link in the production process, performs quality verification, and monitors products through multi-dimensional data, ensuring production quality and product reliability, and promoting the digital and intelligent development of production management.

[0046] In particular, this invention includes a pre-analysis module, taking into account the complexity and diversity of the processes and scheduling involved in the production of orders. Compared to symmetrical products, asymmetrical products exhibit higher technological complexity during production. While symmetrical products can be efficiently produced using standardized molds, symmetrical fixtures, or uniform processing parameters, asymmetrical products require specialized molds designed to address their asymmetry, adjustments to clamping angles, and even multi-step processing to avoid interference. This increases processing time per product, and the stress distribution and dimensional accuracy control of asymmetrical structures are more challenging. Therefore, production orders containing both symmetrical and asymmetrical products present significant complexity in terms of both processing difficulty and quality control. The proportion of asymmetrical products directly reflects the scale and complexity of the order production. Furthermore, for multiple asymmetric structural products, the structural differences between them reflect the complexity and diversity of asymmetric structural products within a production order. This complexity and diversity may necessitate frequent mold changes and equipment parameter adjustments during actual production, leading to increased production changeover time, decreased equipment utilization, and the need to adapt to different processing equipment, increasing the complexity of production scheduling and increasing the risk of process conflicts or resource mismatches. The maximum structural difference reflects the complexity and diversity of order production; the greater the individual differences, the higher the difficulty and uncertainty in coordinating the overall production process. Forged products are highly sensitive to process parameters, making them more prone to structural and internal organizational anomalies during production. Therefore, this invention quantifies the demand diversity and processing complexity of orders to be produced from two dimensions: the quantity and scale of complex products and individual differences. It calculates processing complexity characteristics to represent the overall complexity of actual production of orders, the output of complex products, and the dispersion of process requirements, providing data support for subsequent labeling of orders to be produced. This invention monitors products through multi-dimensional data, ensuring production quality and product reliability, and promoting the digitalization and intelligentization of production management.

[0047] In particular, this invention includes a production analysis module to consider the instability that may occur during the transfer of forged products. During the transfer of forged products to the heat treatment equipment, cold-forged and hot-forged products may be transferred simultaneously along the same path. If the cold-forged and hot-forged products are too close during transfer, they may collide and interfere due to deformation. The shortest approach distance between the cold-forged and hot-forged products quantifies the impact of physical interference risk on transfer stability and product quality. Simultaneously, considering the product's morphological fluctuation characteristics, the sliding offset distance of symmetrical structure products reflects the stability of symmetrical structure products transferred in a stacked manner and the potential dimensional accuracy risks. Since symmetrical structure products rely on regular shapes for stable stacking, the tilt angle of asymmetrical structure products reflects structural integrity and stress concentration risks, further quantifying potential structural damage and process chain error risks. Asymmetrical structure products, due to their shifted center of gravity, are prone to tilting during transfer. Weak parts of the asymmetrical structure bear additional torque when tilted, which may lead to plastic deformation or even structural fracture, or contact with other objects after tilting, causing localized pressure and indentation, thus compromising the design function of the asymmetrical structure. Furthermore, when products enter subsequent processes in an inclined state, positioning accuracy decreases, potentially amplifying processing errors and further increasing the risk of scrap. Therefore, this invention reflects the stability of forged products during the transfer process from different dimensions, the risks of interactions between products, and potential quality hazards. By evaluating parameters characterizing abnormal fluctuations during transfer, it quantifies the product's quality robustness during the transfer process, providing data support for subsequent determination of whether to label products along the transfer path. This invention monitors products through multi-dimensional data, ensuring production quality and product reliability, and promoting the digitalization and intelligentization of production management.

[0048] In particular, this invention includes a processing and evaluation module that comprehensively considers the quality risks of various types of products covered in the production order. Among these, the quality risks of forged products are often hidden. Furthermore, the accumulation of surface impurities in various product types can lead to localized corrosion or performance degradation, necessitating quality control. This module verifies whether the marked products exhibit any abnormalities, accurately capturing internal performance defects and surface quality defects after heat treatment, thus preventing potentially risky products from entering the market. This invention monitors products through multi-dimensional data, ensuring production quality and product reliability, and promoting the digitalization and intelligentization of production management. Attached Figure Description

[0049] Figure 1 A functional module diagram of a diversified and integrated enterprise intelligent management platform for embodiments of the invention;

[0050] Figure 2This is a logic diagram for marking production orders according to an embodiment of the invention.

[0051] Figure 3 A logic diagram for determining whether to label products on the transfer path in an embodiment of the invention;

[0052] Figure 4 This is a logic diagram illustrating whether to issue a consumable inventory warning signal in an embodiment of the invention. Detailed Implementation

[0053] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0054] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0055] It should be noted that in the description of this invention, the terms "upper," "lower," "inner," etc., indicating the direction or positional relationship are based on the direction or positional relationship shown in the drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0056] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation" and "connection" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0057] Please see Figure 1 The diagram shown is a functional block diagram of a diversified integrated enterprise intelligent management platform according to an embodiment of the present invention. The diversified integrated enterprise intelligent management platform according to an embodiment of the present invention includes:

[0058] The production information acquisition module is used to acquire the product forging data of the order to be produced and the production reporting data of the corresponding product at several process stages, so as to extract the size and structural features corresponding to the order to be produced.

[0059] The pre-analysis module is used to calculate the processing complexity characterization value of the order to be produced based on the size and structural features and the proportion of forged products, so as to mark the order to be produced;

[0060] The production analysis module is used to perform data analysis on the production process of the products corresponding to the orders to be produced, based on the labeling results of the pre-analysis module, including:

[0061] Production reporting data of the same batch of products after the forging process is completed and then transferred to the heat treatment equipment is used to analyze the stress interference amplitude, construct the stress interference amplitude time domain variation curve, and identify the stress anomaly time domain segment;

[0062] The shortest proximity distance between cold-forged and hot-forged products on the same transfer path within the stress anomaly time domain segment is obtained. Combined with the product's morphological fluctuation characteristics, the transfer anomaly fluctuation characterization parameters of the products on the corresponding transfer path are evaluated to determine whether the products on the transfer path should be marked.

[0063] The processing and evaluation module is used to obtain the production report data and product labeling results corresponding to the completion of the heat treatment process, determine the temperature gradient difference of the forged products and the amount of impurities accumulated on the product surface, so as to verify whether there are any abnormalities in the labeled products.

[0064] The packaging confirmation module is used to compare the required packaging material quantity for the remaining qualified products after removing the abnormal marked products with the consumable inventory quantity to determine whether to issue a consumable inventory warning signal.

[0065] Specifically, the product forging data includes dimensional and structural characteristics, the proportion of combined forging products, the required amount of packaging materials for the remaining qualified products, and the inventory of consumables. The production reporting data includes stress interference amplitude, the shortest close proximity between cold-forged and hot-forged products on the same transfer path, morphological fluctuation characteristics, the temperature gradient difference of combined forging products, and the amount of impurities accumulated on the product surface.

[0066] Specifically, the process stages include raw material preparation and cutting, heating, forging, and heat treatment.

[0067] Specifically, forging data can be directly obtained from the production order. The ratio of asymmetric structure products to the total number of products is used as the proportion of asymmetric structure products. Similarly, the ratio of combined forging products to the total number of products is used as the proportion of combined forging products. Three-dimensional images of each asymmetric structure product covered in the production order are extracted and matched. Based on a direct pixel comparison method, the mean square error is determined, and this mean square error is used as the structural difference degree. Correspondingly, the above method can also be used to determine the amount of impurities accumulated on the product surface. By calling the model image of the corresponding product in the production data and comparing it with the product image after heat treatment, the amount of impurities accumulated on the product surface is determined using the above method; this will not be elaborated further.

[0068] Specifically, there are no specific limitations on the method of collecting stress interference amplitude. Pressure sensors can be installed on the product's support to obtain the stress amplitude applied by the product, which will not be elaborated further.

[0069] Specifically, there are no specific limitations on the acquisition method for the shortest close proximity distance and morphological fluctuation characteristics of cold-forged and hot-forged products on the same transfer path. Image data collected by adjustable-angle cameras installed in the product production site can be called and combined with relevant image analysis algorithms to determine relevant data. This is existing technology and will not be elaborated further.

[0070] Specifically, an initial stacking profile and a current stacking profile are determined, and the maximum distance between the current stacking profile and the initial stacking profile is determined, which is then defined as the sliding offset distance. A reference line is defined based on the line connecting the center of the current stacking profile and the center of the support body, and the angle between the reference line and the vertical baseline is defined as the tilt angle of the asymmetrical structure product.

[0071] Specifically, forged composite products refer to products made by simultaneously forming multiple small forging blanks in a single forging process. For example, for multiple forgings that are small in size and similar in shape, their blanks can be combined and placed into a forging machine for processing, and then separated into individual products after completion. Based on this, the temperature gradient difference of forged composite products can be obtained by using the edges of each blank corresponding to the forged blank combination as the basis for gradient division, and then collecting the temperature of each gradient using an infrared thermal imager to determine the temperature gradient difference. This will not be elaborated further.

[0072] Specifically, there are no restrictions on the specific structure of the pre-analysis module, production analysis module, processing evaluation module, and packaging confirmation module. Each module or its units can be composed of logic components or combinations of logic components. Logic components include field-programmable processors, computers, or microprocessors in computers.

[0073] Specifically, the pre-analysis module is used to calculate the processing complexity characteristic value of the order to be produced, including:

[0074] Used to retrieve the size and structural features of the order to be produced, including the proportion of asymmetrical structure products and the maximum structural difference of asymmetrical structure products;

[0075] The sum of the ratio of the proportion of asymmetric structure products to the threshold of the proportion of asymmetric structure products and the ratio of the maximum structural difference of asymmetric structure products to the threshold of the maximum structural difference is used as the first processing complexity feature.

[0076] 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;

[0077] The weighted summation of the first processing complexity feature and the second processing complexity feature is used to determine the processing complexity representation value.

[0078] Specifically, asymmetric structure products have higher process complexity, and the differences between different asymmetric structure products further increase the complexity of production. In particular, most asymmetric structure products require the development of dedicated molds with extremely high machining precision requirements. In contrast, for forged products, such as multiple small billets formed in one step, have a mold design focused on arrangement and layout. For example, how to reasonably distribute multiple billets within the same mold cavity. The overall design logic is more inclined towards standardized combinations, and its complexity is lower than that of customized molds for asymmetric structures. Moreover, due to the different structural differences between asymmetric structure products, the parameter adjustments involved in the production process are relatively cumbersome. Products forged using the forging process can reuse some parameters by adjusting the arrangement density within the mold cavity, resulting in lower adjustment costs. Therefore, the first processing complexity feature calculated based on dimensional structural characteristics is given a higher weighting coefficient, set to 0.6, and the corresponding weighting coefficient for the second processing complexity feature calculated based on the proportion of forged products is set to 0.4.

[0079] In this embodiment, the purpose of setting the thresholds for the proportion of asymmetric structure products, the maximum structural difference threshold, and the proportion of forged and combined products is to characterize situations where the overall complexity of the actual production of orders to be produced is high and the process requirements are highly dispersed. By acquiring product forging data from several historical orders to be produced, and calling the data on the proportion of asymmetric structure products, the maximum structural difference of asymmetric structure products, and the proportion of forged and combined products, the average proportion of asymmetric structure products, the average maximum structural difference of asymmetric structure products, and the average proportion of forged and combined products are calculated, and these are used as the baseline values ​​under normal circumstances. Based on the purpose of setting the above three thresholds... The threshold for the proportion of asymmetric structure products is determined as the product of the average proportion of asymmetric structure products and a first deviation coefficient. The threshold for the maximum structural difference is determined as the product of the average maximum structural difference and a second deviation coefficient. The threshold for the proportion of composite forging products is determined as the product of the average proportion of composite forging products and a third deviation coefficient. The first deviation coefficient is selected within the interval [1.2, 1.25], preferably 1.2 in practice. The second deviation coefficient is selected within the interval [1.15, 1.2], preferably 1.15 in practice. The third deviation coefficient is selected within the interval [1.2, 1.25], preferably 1.2 in practice.

[0080] Specifically, this invention includes a pre-analysis module that considers the complexity and diversity of processes and scheduling involved in the production of products based on orders. Asymmetric products, such as those with irregular shapes, asymmetrical stress surfaces, or significant dimensional differences in multiple directions, present higher technological complexity compared to symmetrical products. While symmetrical products can be efficiently produced using standardized molds, symmetrical fixtures, or uniform processing parameters, asymmetric products require specialized molds designed to address their asymmetry, adjustments to clamping angles, and even multi-step processing to avoid interference. This increases processing time per product, and the stress distribution and dimensional accuracy control of asymmetric structures are more challenging. Therefore, production orders containing both symmetrical and asymmetric products exhibit significant complexity in both processing difficulty and quality control. For example, a higher proportion of asymmetric products indicates the need for more dedicated process resources and longer processing cycles, directly reflecting the scale and complexity of the order's production. Furthermore, for multiple asymmetric structural products, the structural differences between them reflect the complexity and diversity of asymmetric structural products within a production order. This complexity and diversity may necessitate frequent mold changes and equipment parameter adjustments during actual production, leading to increased production changeover time, decreased equipment utilization, and the need to adapt to different processing equipment, increasing the complexity of production scheduling and increasing the likelihood of process conflicts or resource mismatches. For example, a larger maximum structural difference indicates more dispersed process requirements for asymmetric products within the order, requiring the production system to handle more diverse processing requirements, reflecting the complexity and diversity of order production. In other words, the greater the individual differences, the higher the difficulty and uncertainty in coordinating the overall production process. Forging and composite products are highly sensitive to process parameters, making them more prone to structural and internal organizational anomalies during production. Therefore, this invention quantifies the diversity of demand and processing complexity of orders to be produced from two dimensions: the quantity and scale of complex products and individual differences. By calculating processing complexity characterization values, it represents the overall complexity of actual production of orders to be produced, the output of complex products, and the dispersion of process requirements, providing data support for subsequent labeling of orders to be produced. This invention monitors products using multi-dimensional data, ensuring production quality and product reliability, and promoting the digital and intelligent development of production management.

[0081] Specifically, please refer to Figure 2 As shown, this is a logic decision diagram for marking production orders according to an embodiment of the present invention. The pre-analysis module is used to mark the production orders, including:

[0082] 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.

[0083] If the processing complexity characterization value of the order to be produced is less than the processing complexity characterization threshold, then there is no need to mark the order to be produced.

[0084] The processing complexity characterization threshold is predetermined. The processing complexity characterization value calculated under the following conditions is equal to the asymmetric structure product proportion threshold, the maximum structural difference of asymmetric structure products is equal to the maximum structural difference threshold, and the proportion of forged products is equal to the forged product proportion threshold.

[0085] Specifically, 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:

[0086] 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.

[0087] Specifically, the production analysis module is used to identify stress anomaly time domain segments, including:

[0088] Used to determine the variance of stress amplitude in several time-domain segments corresponding to the time-domain variation curve of stress interference amplitude;

[0089] 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.

[0090] The stress interference amplitude is the amplitude of the stress applied to the product.

[0091] In this embodiment, the purpose of setting the stress amplitude variance threshold is to characterize the situation where the stress interference amplitude of the product on the support is large and the transfer stability of the product it supports is poor. Therefore, the stress amplitude variance threshold is selected in the range [0.45, 0.5], and preferably 0.45 in practice.

[0092] Specifically, the production analysis module is used to evaluate the characteristic parameters of abnormal fluctuations in product transfer along the corresponding transfer path, including:

[0093] 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.

[0094] 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.

[0095] 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.

[0096] The first transfer anomaly feature and the second transfer anomaly feature are weighted and summed to determine the transfer anomaly fluctuation characterization parameter.

[0097] Specifically, during the transfer of forged products, symmetrical products, such as round and square forgings, are typically transferred in stacks, such as multi-layer stacking. The sliding offset distance directly relates to stack stability, and the risk of sliding offset is often cascading; the offset of a single product can trigger a chain reaction of sliding. For asymmetrical products, the shift in their center of gravity can lead to localized overload, causing microcracks in weak structural areas. Furthermore, the transfer process under tilted conditions may exacerbate wear on asymmetrical parts, further damaging the product's shape. In contrast, the shortest proximity distance between cold-forged and hot-forged products primarily relates to the thermal interaction between products, such as dimensional changes caused by heat conduction from hot forgings to cold forgings. However, this effect is usually slow. Therefore, in practice, the second transfer anomaly characteristic calculated based on morphological fluctuation characteristics is given a higher weighting coefficient, set to 0.6, while the weighting coefficient of the first transfer anomaly characteristic calculated based on the shortest proximity distance between cold-forged and hot-forged products on the same transfer path is set to 0.4.

[0098] In this embodiment, the purpose of setting the minimum close-to-work distance threshold, sliding offset distance threshold, and tilt angle threshold is to characterize situations where the product has poor stability during the transfer process, the risk of interaction between products is high, and there is a greater possibility of potential quality problems. By acquiring product reporting data from several historical orders awaiting production, and calling the minimum close-to-work distance data between cold-forged and hot-forged products on the same transfer path, the sliding offset distance data of symmetrical structure products, and the tilt angle data of asymmetrical structure products, the mean of the minimum close-to-work distance, the mean of the sliding offset distance, and the mean of the tilt angle are calculated, and these are used as the baseline values ​​under normal circumstances. Based on the purpose of setting the above three thresholds, the shortest close distance threshold is determined as the product of the average shortest close distance and the first offset coefficient, the sliding offset distance threshold is determined as the product of the average sliding offset distance and the second offset coefficient, and the tilt angle threshold is determined as the product of the average tilt angle and the third offset coefficient. The first offset coefficient is selected within the interval [0.9, 0.95], preferably 0.9 in practice; the second offset coefficient is selected within the interval [1.05, 1.1], preferably 1.05 in practice; and the third offset coefficient is selected within the interval [1.1, 1.15], preferably 1.1 in practice.

[0099] Specifically, this invention includes a production analysis module that considers the instability that may occur during the transfer of forged products. During the transfer of forged products to heat treatment equipment, cold-forged and hot-forged products may be transferred relatively simultaneously along the same path. If cold-forged products, characterized by room temperature, high hardness, and low plasticity, are too close to hot-forged products, characterized by high temperature, low hardness, and high plasticity, they may collide due to deformation. For example, the high temperature of the hot-forged product may be conducted to the cold-forged product, causing localized temperature rise and deformation of the cold-forged part; or the cold-forged part may collide with the hot-forged part due to deformation, resulting in surface dents in the hot-forged part. Simultaneously, the cold-forged part itself may also develop micro-cracks due to impact. By quantifying the impact of physical interference risk on transfer stability and product quality through the shortest contact distance between cold-forged and hot-forged products, this study also considers the morphological fluctuation characteristics of the products, specifically the sliding offset distance of symmetrical structures and the tilt angle of asymmetrical structures. The sliding offset distance of symmetrical structures reflects the stability of stacked symmetrical structures during transfer and potential dimensional accuracy risks. Since symmetrical structures rely on regular shapes for stable stacking, excessive offset distances indicate deformation, vibration, or insufficient friction of the supporting tools during transfer, leading to loose stacking and potentially causing collapse and product deformation due to mutual compression. Alternatively, the offset product may collide with transfer equipment such as conveyor belts or racks, causing edge wear and dimensional discrepancies. Simultaneously, the tilt angle of asymmetrical structures reflects structural integrity and stress concentration risks, further quantifying potential structural damage and process chain error risks. Due to the shifted center of gravity, asymmetrical structures are prone to tilting during transfer. Weak points in asymmetrical structures bear additional torque during tilting, potentially leading to plastic deformation or even structural fracture. Alternatively, contact with other objects after tilting can cause localized pressure and indentation, compromising the design function of the asymmetrical structure. Furthermore, when products are tilted and enter subsequent processes, such as heat treatment, their positioning accuracy decreases, potentially amplifying processing errors and further increasing the risk of scrap. Therefore, this invention reflects the stability of forged products during the transfer process from different dimensions, the risks of interactions between products, and potential quality hazards. By evaluating parameters characterizing abnormal fluctuations during transfer, it quantifies the robustness of product quality during the transfer process, providing data support for subsequent determination of whether to label products along the transfer path. This invention monitors products through multi-dimensional data, ensuring production quality and product reliability, and promoting the digitalization and intelligentization of production management.

[0100] Specifically, please refer to Figure 3 As shown, this is a logic diagram for determining whether to label products on the transfer path according to an embodiment of the present invention. The production analysis module is used to determine whether to label products on the transfer path, including:

[0101] 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.

[0102] If the abnormal fluctuation characterization parameter of the product on the transfer path is less than the threshold of the abnormal fluctuation characterization parameter, it is determined that there is no need to label the product on the transfer path.

[0103] The threshold for the abnormal fluctuation characterization parameter of the transfer is predetermined. The abnormal fluctuation characterization parameter of the transfer is determined by calculating the threshold for the shortest proximity distance and the shortest proximity distance between cold forging products and hot forging products on the same transfer path, the sliding offset distance of symmetrical structure products is equal to the threshold for the sliding offset distance, and the tilt angle of asymmetrical structure products is equal to the threshold for the tilt angle.

[0104] Specifically, the processing and evaluation module is used to verify whether the labeled product has any anomalies, including:

[0105] If the temperature gradient difference of the forged product is greater than the temperature gradient difference threshold, or / and the amount of impurities accumulated on the product surface is greater than the impurity accumulation threshold, then the marked product is determined to be abnormal.

[0106] In this embodiment, the purpose of setting the temperature gradient difference threshold and the impurity accumulation threshold is to characterize the situation where the product after the heat treatment process has a high probability of potential quality risks. By acquiring the production reporting history data corresponding to the products that have completed the production process several times, calling the historical data of temperature gradient difference and impurity accumulation of the forging products, the average temperature gradient difference and the average impurity accumulation are calculated and used as the benchmark values ​​under normal conditions. Based on the purpose of setting the above two thresholds, the temperature gradient difference threshold is determined as the product of the average temperature gradient difference and the gradient deviation coefficient, and the impurity accumulation threshold is determined as the product of the average impurity accumulation and the accumulation deviation coefficient. The gradient deviation coefficient is selected in the interval [1.1, 1.15], preferably 1.1 in the implementation, and the accumulation deviation coefficient is selected in the interval [1.1, 5, 1.2], preferably 1.15 in the implementation.

[0107] Specifically, please refer to Figure 4 As shown, this is a logic diagram for determining whether to issue a consumable inventory warning signal according to an embodiment of the present invention. The packaging confirmation module is used to determine whether to issue a consumable inventory warning signal, including:

[0108] The material difference between the required packaging material quantity and the material inventory quantity is used to calculate the material difference.

[0109] If the consumable difference is greater than or equal to the consumable difference threshold, it is determined that there is no need to issue a consumable inventory warning signal;

[0110] If the consumable difference is less than the consumable difference threshold, a consumable inventory warning signal will be issued.

[0111] In this embodiment, the purpose of setting the consumable difference threshold is to characterize a situation where the inventory of packaging consumables is running low, which has a significant impact on the timely packaging of subsequent products and may even lead to delivery delays. Based on this, the difference between the required packaging consumables for the order to be produced and the consumable inventory is taken as the remaining consumable inventory after the order to be produced is completed. Considering factors such as the timeliness of consumable procurement and transportation, the required packaging consumables for the next order to be produced are used, and 50% of the required packaging consumables are taken as the consumable difference threshold. This will not be elaborated further.

[0112] Specifically, this invention includes a processing and evaluation module that comprehensively considers the quality risks of various types of products covered in the production order. Among these, the quality risks of forged products are often hidden; for example, excessive temperature gradients in forged products may lead to internal stress concentration, resulting in a higher risk of cracking during subsequent use. Furthermore, the accumulation of surface impurities in various product types may cause localized corrosion or performance degradation, necessitating quality control. This module verifies whether the marked products exhibit any abnormalities, accurately capturing internal performance defects and surface quality defects after heat treatment, thus preventing potentially risky products from entering the market. This invention monitors products through multi-dimensional data, ensuring production quality and product reliability, and promoting the digitalization and intelligentization of production management.

[0113] Specifically, the production analysis module is used to construct the time-domain variation curve of the stress interference amplitude, including:

[0114] This is used to construct a rectangular coordinate system with time as the horizontal axis and stress interference amplitude as the vertical axis;

[0115] Coordinate points used to calibrate the stress interference amplitude at each moment in the rectangular coordinate system;

[0116] This is used to connect the coordinate points through a smooth curve to obtain the time-domain variation curve of the stress interference amplitude.

[0117] Specifically, there are no restrictions on the method for constructing the time-domain variation curve of stress interference amplitude. For example, the time-domain variation curve of stress interference amplitude can be fitted using Matlab correlation fitting software, which will not be elaborated further.

[0118] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A diversified and integrated enterprise intelligent management platform, characterized in that, include: The production information acquisition module is used to acquire the product forging data of the order to be produced and the production reporting data of the corresponding product at several process stages, so as to extract the size and structural features corresponding to the order to be produced. The pre-analysis module is used to calculate the processing complexity characterization value of the order to be produced based on the size and structural features and the proportion of forged products, so as to mark the order to be produced; The production analysis module is used to perform data analysis on the production process of the products corresponding to the orders to be produced, based on the labeling results of the pre-analysis module, including: Production reporting data of the same batch of products after the forging process is completed and then transferred to the heat treatment equipment is used to analyze the stress interference amplitude, construct the stress interference amplitude time domain variation curve, and identify the stress anomaly time domain segment; The shortest proximity distance between cold-forged and hot-forged products on the same transfer path within the stress anomaly time domain segment is obtained. Combined with the product's morphological fluctuation characteristics, the transfer anomaly fluctuation characterization parameters of the products on the corresponding transfer path are evaluated to determine whether the products on the transfer path should be marked. The processing and evaluation module is used to obtain the production report data and product labeling results corresponding to the completion of the heat treatment process, determine the temperature gradient difference of the forged products and the amount of impurities accumulated on the product surface, so as to verify whether there are any abnormalities in the labeled products. The packaging confirmation module is used to compare the required packaging material quantity for the remaining qualified products after removing the abnormal marked products with the consumable inventory quantity to determine whether to issue a consumable inventory warning signal. The pre-analysis module is used to calculate the processing complexity characteristic value of the order to be produced, including: Used to retrieve the size and structural features of the order to be produced, including the proportion of asymmetrical structure products and the maximum structural difference of asymmetrical structure products; The sum of the ratio of the proportion of asymmetric structure products to the threshold of the proportion of asymmetric structure products and the ratio of the maximum structural difference of asymmetric structure products to the threshold of the maximum structural difference is used as the first processing 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.

2. The diversified and integrated enterprise intelligent management platform according to claim 1, characterized in that, The pre-processing 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.

3. The diversified and integrated enterprise intelligent management platform according to claim 2, characterized in that, 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.

4. The diversified and integrated enterprise intelligent management platform according to claim 1, characterized in that, 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.

5. The diversified and integrated enterprise intelligent management platform according to claim 1, characterized in that, The production analysis module is used to evaluate the parameters characterizing 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.

6. The diversified and integrated enterprise intelligent management platform according to claim 5, characterized in that, 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.

7. The diversified and integrated enterprise intelligent management platform according to claim 1, characterized in that, The processing and evaluation module is used to verify whether the labeled product has any anomalies, including: If the temperature gradient difference of the forged product is greater than the temperature gradient difference threshold, or / and the amount of impurities accumulated on the product surface is greater than the impurity accumulation threshold, then the marked product is determined to be abnormal.

8. The diversified and integrated enterprise intelligent management platform according to claim 1, characterized in that, The packaging confirmation module is used to determine whether to issue a consumable inventory warning signal, including: This is used to calculate the difference between the required packaging material quantity and the material inventory quantity; If the consumable difference is greater than or equal to the consumable difference threshold, it is determined that there is no need to issue a consumable inventory warning signal.

9. The diversified and integrated enterprise intelligent management platform according to claim 1, characterized in that, The production analysis module is used to construct the time-domain variation curve of stress interference amplitude, including: This is used to construct a rectangular coordinate system with time as the horizontal axis and stress interference amplitude as the vertical axis; Coordinate points used to calibrate the stress interference amplitude at each moment in the rectangular coordinate system; This is used to connect the coordinate points through a smooth curve to obtain the time-domain variation curve of the stress interference amplitude.

Images