A hose multi-source material storage management interaction method and related equipment thereof

Abstract

The application provides a hose multi-source material warehouse management interaction method and related equipment thereof, and relates to the technical field of hose warehouse information. Through displaying an interactive main interface containing digital filing, warehouse-out verification and remaining material analysis controls, a digital file of the main body of the hose is constructed, and the main body of the hose is forcibly bound with the associated mandrel or ribbon and the physical parameters of the coil, which can generate inventory data with complete matching relationship, so as to automatically verify the consistency of the inventory state and process state of the main body of the hose and its associated materials based on the file when the warehouse is out, effectively ensuring that the materials are complete and eliminating the wrong delivery of unfinished process products. At the same time, by responding to the length data and physical position information in the file and associating the original batch information, the millimeter-level accurate traceability and dynamic management of the hose tail material are realized, which significantly improves the accuracy, traceability and operation efficiency of the flexible long-size material warehouse management.

Description

Technical Field

[0001] This application relates to the field of information technology for rubber hose storage, and in particular to an interactive method for storage management of multi-source rubber hose materials and related equipment. Background Technology

[0002] Rubber hoses, as industrial products characterized by their long length, coiled storage, and complex specifications, require specialized warehousing management to handle the unique needs of various process states, including those requiring matching mandrels or ribbons, as well as those awaiting vulcanization and finished products. However, traditional general warehouse management systems, which manage only by product number and quantity, cannot meet the stringent requirements of rubber hoses in terms of matching dependencies, state differentiation, segmented measurement, and special storage. This directly leads to technical problems such as mismatches in inbound and outbound shipments, low completeness rates, inaccurate inventory, and low warehousing efficiency. Furthermore, in the operational management of rubber hose manufacturers, traditional reports can only display single-period data or simple year-on-year and month-on-month comparisons, lacking structured horizontal comparison views over multiple months or weeks. This makes it difficult for managers to intuitively identify the fluctuation patterns, abnormal inflection points, and business correlations of key indicators such as sales volume by specification, NBR consumption, and equipment utilization rate. This severely impacts the speed of perception and the accuracy of decision-making regarding market changes, inventory risks, and production capacity bottlenecks. Summary of the Invention

[0003] This application provides an interactive method for the storage management of multi-source materials for rubber hoses and related equipment to solve one or more technical problems existing in the prior art, and at least provides a beneficial option or creates conditions that can effectively ensure the completeness and consistency of rubber hoses and accessories and process status, realize the decimeter-level accurate traceability and dynamic merging management of rubber hose tail materials, thereby significantly improving the accuracy of warehousing and inbound of flexible long-size materials and the level of refined management.

[0004] On the one hand, this application provides a warehouse management interaction method for multi-source materials in hoses, including the following steps: The main interface for warehouse management of multi-source materials for display hoses includes digital filing controls, outbound verification controls, and surplus material analysis controls. In response to the trigger command of the digital filing control, the digital filing sub-interface is displayed to construct a digital file of the hose body, accessories, and physical components, and to forcibly bind the hose body, associated mandrel or ribbon, and coil physical parameters to generate inventory data containing accessory relationships. In response to the trigger command of the outbound verification control, the outbound verification sub-interface is displayed. Based on the digital file, the inventory status of the hose body and its associated mandrel or ribbon in the current outbound command, as well as whether the process status of the hose body meets the outbound requirements, are automatically verified. In response to the trigger command of the scrap analysis control, the scrap analysis sub-interface is displayed. In response to the hose cutting or merging operation command, multiple sections of hose tail material are merged and stored in the same carrier or the whole roll of hose is cut and split. The length data and physical location information in the digital file are updated, a new digital file is generated and associated with the original batch information.

[0005] Furthermore, the digital filing sub-interface includes a hose body information input area, a supporting material selection area, a physical parameter configuration area, and a digital file saving control; In the digital filing interface, the digital file is constructed by binding the hose body, associated mandrel or ribbon, and coil physical parameters to generate inventory data containing matching relationships, including the following steps: In the hose body information input area, input the hose model, specifications, material type and production batch to generate basic data of the hose body; In the matching material selection area, a core rod or ribbon matching the hose body is selected from the preset material library, and a one-to-one or many-to-one matching mapping relationship is established. In the physical parameter configuration area, the outer diameter, inner diameter, number of winding layers, weight, and storage location information of the coil are entered to form a physical attribute dataset associated with the hose body; In response to the trigger command of the digital file saving control, the basic data of the hose body, the matching mapping relationship and the physical attribute dataset are structured and integrated. Using the unique code of the hose as the primary key, a digital file containing a three-layer structure of body-matching-physical is generated and synchronously updated to the inventory database of the warehouse management system to form a traceable inventory record with complete matching relationship.

[0006] Furthermore, the outbound verification sub-interface includes an outbound instruction import area, a matching relationship control, an inventory status verification control, and a verification result feedback control; In the outbound verification sub-interface, based on the digital file, the inventory status of the hose body and its associated mandrel or ribbon in the current outbound instruction is automatically verified, including the following steps: In the outbound instruction import area, an outbound request containing the unique code of the hose, the required quantity and matching type is received, and parsed to generate an outbound task to be verified. In response to the trigger command of the matching control, the digital file corresponding to the unique code of the hose is called, the material code of the core rod or ribbon bound therein and the required quantity are extracted, and a matching material verification list is constructed. In response to the trigger command of the inventory status verification control, the current inventory quantity, storage location information and availability status of the hose body and its supporting materials in the warehouse management system are queried in real time to determine whether the quantity and completeness requirements in the outbound task are met. If all materials are in sufficient stock and their matching relationships are consistent, a verification pass flag is generated and the corresponding inventory lock is released; if any material is missing, insufficient in quantity, or mismatched, a verification failure message is generated, the missing item is marked, and the outbound process is suspended until manual intervention or instruction correction.

[0007] Furthermore, the automatic verification of the inventory status of the hose body and its associated mandrel or ribbon in the current outbound instruction specifically includes: Identify the current process state of the hose body, including the state before vulcanization and the finished product state; The verification is considered successful and an outbound task is generated only when the process status of the hose body is consistent with the requirements of the outbound instruction and the associated mandrel / ribbon is in an idle state.

[0008] Furthermore, in the residual material analysis sub-interface, in response to the hose slitting or merging operation command, multiple sections of hose tail material are merged and stored in the same carrier or the entire roll of hose is slitted and split, the length data and physical location information in the digital file are updated, a new digital file is generated and associated with the original batch information, including the following steps: The operation type selection window is displayed in the residual material analysis sub-interface. Select the "splitting" or "merging" mode, and enter the unique code of the target hose, the operation quantity, and the target carrier number. In response to the selection of the "slitting" mode, the digital file corresponding to the unique code of the hose is called to obtain the current total length, coil status and inventory location. One or more new hose segments are generated according to the input slitting length, and a temporary unique code is assigned to each segment. At the same time, the original hose digital file is marked as invalid and the corresponding new hose segment digital file is generated. In response to the selection of the "Merge" mode, select two or more hose segments in the "End-of-Life" state, verify their model, material and batch compatibility. If the verification passes, create a new merged hose record, add the lengths of each segment as the new total length, assign a new unique code, and update the status of the original hose segment to "Merged". Based on the cutting or merging results, one or more new digital files are generated, which contain updated length data, physical location, carrier number and operation timestamp. The original hose unique code and production batch are associated in the new file as fields and synchronously written into the warehouse management system inventory database to ensure traceability throughout the entire life cycle.

[0009] Furthermore, the method also includes a smart warehouse location recommendation step: On the digital filing interface, obtain the dimensional parameters of the hose body and the load-bearing parameters of the storage area; Based on the matching relationship between the size parameters and the load-bearing parameters, a recommendation algorithm is used to calculate the fit score, and the storage location with the highest score is intelligently recommended. Generate a shelving instruction to assign the tubing body and associated mandrel / ribbon to the recommended storage location and update the inventory location data.

[0010] Furthermore, the main interface also includes a matrix report control; Responding to a trigger command on the matrix report control, displaying a matrix dynamic report includes the following steps: Construct a report matrix layout with time periods as columns and business dimensions as rows; Obtain relevant warehousing index data for hoses, and display the index data horizontally in parallel according to the selected period; Visual encoding of trend changes in indicator data involves generating color gradients or micro-charts overlaid in report cells based on the comparison results between indicator data and preset thresholds. In response to a click on any period's data cell, the system will drill down to display the detailed inbound and outbound records for that period.

[0011] On the other hand, this application provides a warehouse management interaction system for multi-source materials of hoses, used to execute the warehouse management interaction method steps of multi-source materials of hoses as described above.

[0012] On the other hand, this application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the aforementioned interactive method steps for the storage management of multi-source materials in hoses.

[0013] On the other hand, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the aforementioned interactive method steps for the storage management of multi-source materials for hoses.

[0014] The beneficial effects of this application are as follows: This application provides an interactive method for the storage management of multi-source materials for rubber hoses. By displaying an interactive main interface that includes controls for digital filing, outbound verification, and surplus material analysis, a digital file of the physical components of the rubber hose is constructed, and the physical parameters of the rubber hose body and associated mandrels, ribbons, and coils are forcibly bound. This generates inventory data with complete matching relationships, thereby automatically verifying the consistency of the inventory status and process status of the rubber hose body and its associated materials based on this file during outbound processing. This effectively ensures that materials are complete and prevents the wrong delivery of incomplete products. Simultaneously, by responding to cutting or merging operation commands, the length data and physical location information in the file are updated and linked to the original batch information, achieving decimeter-level accurate traceability and dynamic management of rubber hose tail materials. This significantly improves the accuracy, traceability, and operational efficiency of flexible long-size material storage management. This application also provides related equipment for the above method. The beneficial effects of the related equipment are similar to those of the method and will not be elaborated here.

[0015] Other features and advantages of this application will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the description, claims and drawings. Attached Figure Description

[0016] The accompanying drawings are provided to further understand the technical solutions of the present invention and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the technical solutions of the present invention, and do not constitute a limitation on the technical solutions of the present invention.

[0017] Figure 1 This is a flowchart of the warehouse management interaction method for multi-source materials of hoses provided in this application; Figure 2 This is a schematic diagram of the main interface for warehouse management of multi-source materials for hoses provided in this application; Figure 3 This is a schematic diagram of the digital filing sub-interface provided in this application; Figure 4 This is a schematic diagram of the outbound verification sub-interface provided in this application; Figure 5 This is a structural diagram of the warehouse management interactive system for multi-source materials of hoses provided in this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0019] The present application will be further described below with reference to the accompanying drawings and specific embodiments. The described embodiments should not be considered as limitations on the present application, and all other embodiments obtained by those skilled in the art without inventive effort are within the scope of protection of the present application.

[0020] In the following description, references are made to “some embodiments,” which describe a subset of all possible embodiments. However, it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0022] In the fields of industrial manufacturing and supply chain management, rubber hoses, as materials with unique physical forms and technological properties, face more complex challenges in warehousing management compared to ordinary standard parts. Rubber hoses are characterized by their long length, need for coiled storage, and diverse specifications. Furthermore, they heavily rely on matching mandrels and ribbons in the production and outbound processes, and the same physical entity exists in multiple process states during its circulation, such as awaiting vulcanization and finished product. With the advancement of intelligent manufacturing, traditional warehousing management models relying on manual experience and paper documents are gradually being phased out, replaced by digital warehouse management systems based on barcode or RFID technology.

[0023] Currently, most warehouse management systems used in the industry are general-purpose ERP or WMS modules, designed primarily for standard industrial products with regular shapes, simple accessories, and uniform status. When dealing with hoses, these systems typically abstract them into simple inventory records with item numbers and quantities, managing them through basic inbound, outbound, and inventory counting functions. Operators mainly rely on handheld terminals to scan barcodes and perform simple quantity additions and subtractions on the system interface. Information such as the physical parameters of the hose coils, including outer diameter, inner diameter, number of winding layers, and weight, is often stored as static remarks fields, failing to be deeply integrated with dynamic inventory logic. In the outbound process, the system usually only checks whether the inventory quantity is sufficient, lacking a mandatory correlation verification mechanism between the accompanying materials and the process status. Furthermore, when dealing with the tailings generated from hose slitting, existing systems mostly adopt a crude approach of issuing whole rolls, offline slitting, and disposal, or simply re-entering the tailings as independent short-piece item numbers, resulting in fragmented inventory data.

[0024] Existing technical solutions reveal significant structural flaws when applied to multi-source material management of hoses. The general system lacks a mechanism for constructing physical digital files that mandate the binding of the hose body with its matching mandrel and ribbon, resulting in a lack of complete matching relationship descriptions in inventory data. This data-level fragmentation directly leads to technical problems such as mismatched shipments and low matching rates. Operators are highly susceptible to overlooking mandrels or issuing incorrect ribbons due to negligence or the system's failure to issue warnings, causing production line shutdowns due to material shortages or shipment recalls, severely impacting supply chain reliability.

[0025] Existing technologies fail to effectively differentiate the processing status of rubber hoses and cannot automatically identify the differences between semi-finished products awaiting vulcanization and finished products during outbound inspection. This poses a significant quality risk of mistakenly issuing semi-finished products that have not completed the vulcanization process. Regarding waste material management, existing systems cannot achieve decimeter-level precise tracking and dynamic merging of hose tailings. When multiple sections of tailings from the same batch are generated, the system cannot logically merge them as a whole roll, resulting in low storage space utilization. Furthermore, due to the lack of accurate length and location data, tailings are easily rendered obsolete, causing serious waste of raw materials.

[0026] From the perspective of interaction and decision-making, the interface design of existing systems often only provides a single-dimensional data list or simple statistical charts, lacking dynamic reporting functions that cross-display time periods and business dimensions in a matrix manner. Managers cannot intuitively identify the fluctuation patterns and abnormal inflection points of key indicators from continuous time series, resulting in a lag in the perception of inventory risks and production capacity bottlenecks, and low decision-making efficiency.

[0027] To address the aforementioned issues, this application provides an interactive method for the warehousing management of multi-source materials for rubber hoses and related equipment, constructing a refined and intelligent management system for the entire process of multi-source materials for rubber hoses. This system establishes a mandatory digital archive binding between the main body of the rubber hose and its matching mandrel and ribbon, achieving automatic verification and error prevention from warehousing to outbound, fundamentally eliminating the risk of mismatch. The system deeply integrates the process status attributes of the rubber hoses, automatically identifying and intercepting materials in abnormal states such as those awaiting vulcanization during the outbound process, ensuring compliance with outbound quality standards. For the tailings generated from rubber hose cutting, this application innovatively introduces a decimeter-level precise traceability and dynamic merging mechanism, transforming scattered tailings into efficiently usable inventory resources, significantly improving material utilization. Furthermore, by constructing a dynamic matrix report that intersects time periods and business dimensions, it achieves intuitive and forward-looking monitoring of inventory fluctuations and business anomalies, providing strong data support for management decisions.

[0028] First, the interactive method for warehouse management of multi-source materials in hoses provided in this application will be described in detail below with reference to the accompanying drawings.

[0029] Reference Figure 1The implementation process of the warehouse management interaction method for multi-source materials of hoses provided in this application embodiment includes, but is not limited to, the following steps.

[0030] Step S110: Display the main interface for warehouse management of multi-source materials for hoses.

[0031] The main interface includes digital filing controls, outbound verification controls, and surplus material analysis controls.

[0032] In step S110, the main interface for the warehouse management of multi-source materials for rubber hoses serves as the entry point and global navigation hub for the entire warehouse management method. It provides warehouse managers with an integrated and visualized operating platform, aiming to solve the problems of fragmented functions and complex operation entry points in existing technologies. This main interface integrates digital filing controls, outbound verification controls, and surplus material analysis controls to construct a closed-loop management system covering the entire lifecycle of rubber hose materials. This allows operators to quickly locate and execute core business processes without frequently switching between different system modules.

[0033] This interface layout not only optimizes the human-computer interaction experience, but also establishes three core business pillars at the system architecture level, with hoses as the main body and covering supporting materials and waste material handling. This lays the interactive foundation for subsequent refined data binding and process control, ensuring the continuity and efficiency of warehouse management operations.

[0034] Step S120: In response to the trigger command of the digital filing control, the digital filing sub-interface is displayed to construct the digital file of the hose body-matching-physical data, and to forcibly bind the hose body, associated mandrel or ribbon and coil physical parameters to generate inventory data containing matching relationships.

[0035] In step S120, the traditional warehousing system's extensive management model, which only records item numbers and quantities, is broken away from. By forcibly binding the hose body, associated mandrel or ribbon, and coil physical parameters, a multi-dimensional material digital twin is established. This forced binding mechanism ensures the integrity and logical rigor of inventory data, giving each roll of hose a unique identification and complete matching information from the moment it enters the warehouse. This eliminates the risk of mandrel or ribbon mismatch due to human record-keeping oversights at the source, providing structured and standardized data support for subsequent automated verification and accurate traceability.

[0036] Step S130: In response to the trigger command of the outbound verification control, the outbound verification sub-interface is displayed. Based on the digital archive, the inventory status of the hose body and its associated mandrel or ribbon in the current outbound command, as well as the process status of the hose body, are automatically verified to meet the outbound requirements.

[0037] In step S130, the post-event manual review is transformed into pre-event automatic system interception. By comparing the matching relationship and process status in the digital archive with the outbound instructions in real time, the system can intelligently identify whether the hose body is missing the necessary mandrel or ribbon, and whether it is in a semi-finished product state such as awaiting vulcanization and therefore cannot be shipped. This data-driven verification mechanism not only effectively eliminates human errors such as incorrect shipments, omissions, and irregular shipments, ensuring the production continuity and product quality of the downstream supply chain, but also significantly reduces the cost of returns and exchanges and reputational losses caused by incorrect shipments, achieving zero-defect management of outbound operations.

[0038] Step S140: In response to the trigger command of the scrap analysis control, the scrap analysis sub-interface is displayed. In response to the hose splitting or merging operation command, multiple sections of hose tail material are merged and stored in the same carrier or the whole roll of hose is split and separated. The length data and physical location information in the digital file are updated, a new digital file is generated and associated with the original batch information.

[0039] In step S140, the system is given the dynamic capability to process non-standard length hoses. By accurately updating the length data and physical location information in the digital archive, previously difficult-to-manage scattered scraps are transformed into effective inventory resources that can be identified, retrieved, and used by the system. Whether it is merging multiple scraps for storage to improve space utilization or cutting whole rolls to meet specific order requirements, this step maximizes the value of materials. At the same time, by associating with the original batch information, it ensures that each cut hose segment still has a complete quality traceability chain, thereby improving material utilization while maintaining the rigor and traceability of inventory management.

[0040] In some embodiments of this application, the process status information is collected using a dual verification mechanism of RFID tag reading and visual recognition. The RFID tag contains the process progress parameters of the tubing and is automatically read by an RFID reader at the warehouse entrance. A visual recognition device collects the vulcanization mark QR code on the tubing end face for secondary verification of the process status information. The identification rules for the pending vulcanization state and the finished product state are as follows: A yellow RFID tag is affixed to the surface of the tubing in the pending vulcanization state, and the end face QR code contains the "UNVUL" identifier field; a green RFID tag is affixed to the surface of the tubing in the finished product state, and the end face QR code contains the "FIN" identifier field. The determination criteria are: when the RFID-read process progress value is less than 100% and the QR code contains the "UNVUL" identifier, it is determined to be in the pending vulcanization state; when the RFID-read process progress value is equal to 100% and the QR code contains the "FIN" identifier, it is determined to be in the finished product state.

[0041] In some embodiments of this application, the digital filing sub-interface includes a hose body information input area, a matching material selection area, a physical parameter configuration area, and a digital file saving control. In step S120, a digital file is constructed in the digital filing sub-interface, binding the hose body, associated mandrel or ribbon, and coil physical parameters to generate inventory data containing matching relationships, including the following steps.

[0042] Step S210: In the hose body information input area, input the hose model, specifications, material type and production batch to generate basic data of the hose body.

[0043] In step S210, in the hose body information input area, operators are guided to accurately input core elements such as hose model, specifications, material type, and production batch, thereby generating standardized basic data for the hose body. This step transforms the physical hose entity into a computer-recognizable initial digital object, solving the problems of ambiguous material identity and fragmented batch information in traditional management. It provides a unique index anchor for subsequent association with supporting materials and physical parameters, ensuring that each roll of hose entering the warehouse has clear and traceable source information.

[0044] Step S220: In the matching material selection area, select a mandrel or ribbon that matches the hose body from the preset material library, and establish a one-to-one or many-to-one matching mapping relationship.

[0045] In step S220, a strong logical association is established between the hose body and auxiliary materials. A preset material library is retrieved, allowing operators to intuitively select the mandrel or ribbon that matches the current hose body, and establishing a one-to-one or many-to-one matching mapping relationship. This step overcomes the drawback of the separation of main and auxiliary material data in traditional inventory management, transforming mandrels and ribbons from independent inventory items into necessary matching components attached to the hose body. This solidifies the complete set attribute of materials at the data level, providing an immutable logical basis for automatic error prevention verification and completeness checks in subsequent outbound processes.

[0046] Step S230: In the physical parameter configuration area, enter the outer diameter, inner diameter, number of winding layers, weight and storage location information of the coil to form a physical attribute dataset associated with the hose body; In step S230, in the physical parameter configuration area, the digital file of the hose is given precise spatial and physical characteristics. Detailed information such as the outer diameter, inner diameter, number of winding layers, weight, and specific storage location of the coil is recorded, forming a physical attribute dataset closely related to the hose itself. This step transforms the abstract inventory quantity into a concrete physical entity description, enabling the warehousing system not only to know the quantity of hoses but also their volume, weight, and space occupancy. This provides precise data support for warehouse location planning, stacking restrictions, and logistics handling, effectively avoiding storage space waste or handling conflicts caused by missing physical parameters.

[0047] In step S240, in response to the trigger command of the digital file saving control, the basic data of the hose body, the matching mapping relationship and the physical attribute dataset are structurally integrated. Using the unique code of the hose as the primary key, a digital file containing a three-layer structure of body-matching-physical is generated and synchronously updated to the inventory database of the warehouse management system to form a traceable inventory record with complete matching relationship.

[0048] In step S240, the discrete basic data of the main body, the matching mapping relationships, and the physical attribute dataset are structurally integrated. Using the unique code of the hose as the primary key, a complete digital file containing a three-layer structure of main body, matching, and physical attributes is generated and synchronously updated to the inventory database of the warehouse management system. This step realizes a qualitative change in data from temporary input to persistent storage, ensuring that the generated inventory records have complete traceability and matching integrity. This allows any subsequent query, verification, or analysis operation to be based on this full-dimensional digital file, thereby building a solid data foundation for the full lifecycle management of hose materials.

[0049] In some embodiments of this application, the matching criteria for the mandrel / ribbon and the hose body include three core parameters: Regarding size matching parameters, the tolerance between the outer diameter of the mandrel and the inner diameter of the hose body must be controlled within ±0.2mm, and the deviation between the width of the ribbon and the width of the marked area on the hose body should not exceed ±1mm, ensuring no gaps or warping after assembly; Regarding material compatibility requirements, the Shore hardness of the mandrel material must match the deformation at the hose vulcanization temperature, and the difference between the thermal expansion coefficient of the ribbon material and the hose body must be less than 5×10^-5 / ℃, avoiding adhesion or detachment during vulcanization; Regarding production process adaptation conditions, the surface roughness of the mandrel must meet Ra≤1.6μm to adapt to the hose extrusion process, and the temperature resistance rating of the ribbon must cover the 150℃~180℃ temperature range of the hose vulcanization process.

[0050] The matching relationship is divided as follows: when the hose model is a customized special specification, a one-to-one matching relationship is adopted, that is, a single mandrel / ribbon corresponds to only one model of hose body; when the hose model is a general series and the size, material and process parameters are fully compatible, a multiple-to-one matching relationship is adopted, that is, multiple mandrels / ribbons of the same specification can correspond to the same model of hose body, which is applicable to batch standardized production scenarios.

[0051] In some embodiments of this application, the digital archive with a three-layer structure of main body-matching-physical layer includes three sets of fields: Main body layer fields include the unique hose code, model, specifications, material, production batch, process status, and production time, with data formats of string and date; Matching layer fields include the mandrel code, ribbon code, matching relationship type, and binding time, with data formats of string and date; Physical layer fields include the coil outer diameter, coil inner diameter, number of winding layers, weight, storage location code, carrier code, and length parameter, with data formats of numeric and string. The relationship between the fields is as follows: the unique hose code in the main body layer is the primary key; the matching layer fields are associated with the main body layer through the unique hose code; and the physical layer fields are associated with the main body layer through the unique hose code, forming a "one master, two slaves" association structure to ensure data consistency.

[0052] In some embodiments of this application, the total length of the unique code for the hose is 18 digits, and the meaning of each segment is as follows: the 1st and 2nd digits are the material code, the 3rd to 6th digits are the model code, the 7th to 10th digits are the last two digits of the production year plus the month, the 11th to 14th digits are the batch serial number, and the 15th to 18th digits are the serial number of the same batch, using a mixed code of numbers and uppercase letters; the total length of the temporary unique code is 12 digits, prefixed with "TMP" plus a 9-digit serial number, generated only during the slitting operation, and valid until the hose segments after slitting are registered in the warehouse; the total length of the new unique code is 18 digits, prefixed with "MG" plus a 16-digit code, where the 3rd to 6th digits are the merging operation date, the 7th to 10th digits are the merging batch number, and the 11th to 18th digits are the serial number, generated only during the remaining material merging operation, inheriting the main information association of the original hose segment.

[0053] In some embodiments of this application, the outbound verification sub-interface includes an outbound instruction import area, a matching relationship control, an inventory status verification control, and a verification result feedback control. In step S130, on the outbound verification sub-interface, based on the digital archive, the inventory status of the hose body and its associated mandrel or ribbon in the current outbound instruction is automatically verified, including the following steps.

[0054] Step S310: In the outbound instruction import area, receive an outbound request containing the unique code of the hose, the required quantity and matching type, and parse it to generate an outbound task to be verified.

[0055] In step S310, external business requirements are transformed into standardized task objects that can be identified and processed within the system. By parsing the unique code of the hose, the system can quickly identify the target material, while the input of the required quantity and matching type clarifies the specific scale and specifications of this outbound shipment. This process not only realizes the digital access of outbound instructions, avoiding information delays and errors caused by manual verbal communication or paper document circulation, but also provides a precise index for subsequent in-depth verification using digital archives, ensuring that the source of outbound operation instructions is clear, accurate, and traceable.

[0056] Step S320: In response to the trigger command of the matching control, the digital file corresponding to the unique code of the hose is called, the material code of the mandrel or ribbon bound therein and the required quantity are extracted, and a matching material verification list is constructed.

[0057] Step S320 achieves a logical leap from single material management to complete set material management. Utilizing pre-established main-component-physical digital files, the system automatically parses the auxiliary material information upon which the hose depends, transforming implicit matching requirements into explicit checklists. Through this mechanism, the system no longer views hose outbound shipments in isolation, but rather as a complete assembly including a mandrel or ribbon. This establishes a mandatory standard for complete set outbound shipments at the data level, laying the logical foundation for subsequent automatic interception of missed or incorrect shipments. It completely solves the problem of production material shortages or abnormal shipments caused by neglecting matching relationships in traditional management.

[0058] Step S330: In response to the trigger command of the inventory status verification control, query the current inventory quantity, storage location information and availability status of the hose body and its supporting materials in the warehouse management system in real time, and determine whether the quantity and completeness requirements in the outbound task are met.

[0059] In step S330, a comprehensive real-time inventory check and logical comparison are performed on inventory resources. This not only verifies the sufficiency of the hoses themselves but also focuses on checking for any shortages of supporting materials such as mandrels and ribbons. Simultaneously, it confirms that the distribution and availability of materials in the warehouse meet the delivery conditions. This dynamic, comprehensive verification mechanism effectively identifies and intercepts invalid outbound instructions caused by outdated inventory data or missing components, ensuring the dual accuracy of each outbound operation in terms of both physical resources and logical relationships. This significantly improves the reliability of warehousing operations and delivery quality.

[0060] In step S340, if all materials are in sufficient inventory and their matching relationships are consistent, a verification pass flag is generated and the corresponding inventory lock is released. If any material is missing, insufficient in quantity, or mismatched, a verification failure message is generated, the missing item is marked, and the outbound process is paused until manual intervention or instruction correction.

[0061] In step S340, a closed-loop control system from data analysis to decision execution is completed. An automated feedback and circuit breaker mechanism is established. For compliant outbound tasks, the system automatically releases the order and locks the inventory, preventing overselling and duplicate allocation. For abnormal tasks, the system immediately triggers an alert and blocks the process, clearly indicating the specific missing items or errors. This intelligent feedback mechanism not only significantly reduces the cost and difficulty of manual review but also enforces immediate handling of abnormal situations, ensuring efficient warehousing and logistics operations and zero-error operation.

[0062] In some embodiments of this application, the permission configuration for manual intervention is divided into three levels: Level 1 permission is for warehouse administrators, who can only handle ordinary anomalies such as outbound verification failures; Level 2 permission is for warehouse supervisors, who can handle split / merge approvals and data conflict anomalies; Level 3 permission is for system administrators, who can handle underlying data anomalies and system configuration adjustments. The anomaly handling process is as follows: First, the system automatically identifies the anomaly and generates an anomaly work order, which is pushed to the handler with the corresponding permission; the handler selects the corresponding handling plan according to the anomaly type and submits it to the system for verification; after verification, the anomaly correction operation is performed. The verification restart rule after correction is as follows: After the anomaly correction is completed, the system automatically re-triggers the full verification of the corresponding business process. If the verification passes, the business process continues to execute; if the verification still fails, a higher-level anomaly work order is generated and pushed to the handler with higher permission.

[0063] In some embodiments of this application, step S330 automatically verifies the inventory status of the hose body and its associated mandrel or ribbon in the current outbound instruction. Specifically, this includes: identifying the current process status of the hose body, which includes the state to be vulcanized and the finished product state; only when the process status of the hose body is consistent with the requirements of the outbound instruction and the associated mandrel / ribbon is in an idle state, it is determined that the verification is passed and an outbound task is generated.

[0064] Specifically, by constructing a dual intelligent defense line that deeply integrates production process attributes and material matching logic, it transcends the limitations of traditional warehouse management that only focuses on quantity balance, moving quality control forward to the outbound stage. By accurately identifying the current process status of the hose itself, the system can strictly distinguish between semi-finished products awaiting vulcanization and finished products ready for delivery. This logically prevents the possibility of mistakenly sending semi-finished products that have not completed the critical vulcanization process to the market, fundamentally avoiding major quality accidents and recall risks caused by substandard product performance.

[0065] Meanwhile, this step introduces a concurrent verification mechanism for the idle status of associated mandrels and ribbons, ensuring that these critical supporting resources are not occupied or locked by other tasks. This real-time dynamic assessment of material availability effectively prevents delivery delays or production line shutdowns due to conflicts in supporting resources. By atomically binding and verifying process compliance with supporting availability, this step ensures that the final outbound tasks are not only accurate in quantity but also fully meet delivery standards in terms of quality attributes and resource integrity, achieving seamless integration and high synergy between warehousing operations and the manufacturing process.

[0066] In some embodiments of this application, the criteria for determining an idle state require the simultaneous fulfillment of three conditions: First, it is not locked by other outbound tasks, meaning there is no valid lock record for the current mandrel / ribbon code in the task lock table of the warehousing system, and the lock record is valid for 2 hours after task creation; second, it is not in use, meaning the current status field of the mandrel / ribbon is "in storage," and there is no binding relationship with any incomplete production work order; third, it is not in maintenance, meaning there is no incomplete maintenance record for the current mandrel / ribbon code in the maintenance record table, and the most recent maintenance completion time is more than 24 hours. When all three conditions are met, it is determined to be in an idle state and can be assigned to a new outbound task.

[0067] In some embodiments of this application, to address the resource preemption problem under high concurrency, a database pessimistic locking mechanism is introduced during the inventory status verification and locking process. The specific process is as follows: When executing the real-time query in step S330, the system requests a row-level lock at the database level for the relevant hose body record and associated mandrel / ribbon record. While this lock is held, other transactions cannot modify the state of these records. Only after the transaction completes and passes verification in step S340 will the system execute the update operation and release the lock; if verification fails, the system will roll back the transaction and release the lock directly. This control method based on database transaction isolation levels ensures the atomicity of the "query-verification-locking" series of operations, completely eliminating resource conflicts or overselling caused by other concurrent tasks modifying the inventory state after the query passes but before the lock is completed.

[0068] In some embodiments of this application, in step S140, in the residual material analysis sub-interface, in response to the hose cutting or merging operation command, multiple sections of hose tail material are merged and stored in the same carrier or the whole roll of hose is cut and split, the length data and physical location information in the digital file are updated, a new digital file is generated and associated with the original batch information, including the following steps.

[0069] In step S410, the operation type selection window is displayed in the residual material analysis sub-interface. Select the "splitting" or "merging" mode, and enter the unique code of the target hose, the operation quantity, and the target carrier number.

[0070] In step S410, a clear business scenario selector is provided to warehouse management personnel. By distinguishing between two distinct physical operation modes—splitting and merging—the system is guided to load the corresponding processing logic and data verification rules. Inputting the unique code of the target hose ensures accurate location of the operation object, while the entry of the operation quantity and target carrier number provides specific quantitative indicators and spatial allocation for subsequent physical splitting or reassembly. This process transforms non-standardized on-site operational requirements into structured instructions that the system can recognize, laying an accurate operational foundation for the subsequent dynamic reconstruction of the hose digital archives and avoiding data chaos caused by ambiguous operational intentions.

[0071] In step S420, in response to selecting the "slitting" mode, the digital file corresponding to the unique code of the hose is called to obtain the current total length, reel status and inventory location. One or more new hose segments are generated according to the input slitting length, and a temporary unique code is assigned to each segment. At the same time, the original hose digital file is marked as invalid, and the corresponding new hose segment digital file is generated.

[0072] In step S420, the digital transformation of hose materials from whole rolls to individual segments and the smooth transition of their entire lifecycle status are realized, maintaining the real-time accuracy and logical consistency of inventory data. When a physical entity is cut, the system automatically invalidates the original file and generates a new file with a temporary unique code, ensuring that each newly generated hose segment can be independently tracked and managed. This mechanism not only solves the problem of discrepancies between records and actual inventory caused by offline cutting after whole rolls are issued in traditional management, but also ensures that the remaining materials after cutting still have clear physical attributes by retaining the coil status and inventory location information, providing reliable data support for subsequent accurate requisition and utilization of remaining materials.

[0073] In step S430, in response to selecting the "Merge" mode, select two or more hose segments in the "End Material" state, verify their model, material and batch compatibility. If the verification passes, create a new merged hose record, add the lengths of each segment as the new total length, assign a new unique code, and update the status of the original hose segment to "Merged".

[0074] In step S430, fragmented waste materials are logically reorganized using intelligent algorithms, digitally "splitting" multiple short pieces into usable long pieces, thus turning waste into treasure and significantly reducing raw material waste. A strict verification mechanism for model, material, and batch compatibility ensures the consistency of the merged hoses in terms of physical performance and quality traceability, preventing the risk of mixing materials of different specifications or batches. By assigning new unique codes and updating the original status, the system achieves centralized management of surplus materials, transforming previously difficult-to-retrieve and call-up scattered waste materials into standardized, usable inventory.

[0075] Step S440: Based on the cutting or merging results, generate one or more new digital files containing updated length data, physical location, carrier number and operation timestamp, and associate the original hose unique code and production batch with the new file in the form of fields, and simultaneously write it into the warehouse management system inventory database to ensure traceability throughout the entire life cycle.

[0076] In step S440, the data solidification and final closed loop of the traceability chain after the change in the form of the remaining hose material are completed. Its core value lies in constructing an immutable audit trail. No matter how many times the hose has been cut or merged, the new digital file always retains the original hose's unique code and production batch "genes" through field association. This deep association mechanism allows the company to trace back to the original production source when using these remaining materials subsequently, meeting stringent quality traceability requirements. Simultaneously, the updated length, location, and timestamp information provide accurate real-time data for the warehouse system's inventory reports, ensuring that every material change in the physical world is synchronously mapped in the digital world at the millisecond level.

[0077] In some embodiments of this application, the threshold conditions for merging hose segments of different models / materials / batches include three judgment dimensions: Regarding the model matching threshold, the nominal diameter, pressure rating, and wall thickness parameters of the hose segments must be completely identical; hose segments of the same model with only differences in production serial number are allowed to be merged. Regarding the material compatibility threshold, the grade and crosslinking agent type of the main rubber material of the hose must be completely identical; hose segments of the same material with a filler content difference of no more than 3% are allowed to be merged. Regarding the batch difference threshold, hose segments within the same production batch are unconditionally allowed to be merged; hose segments from adjacent batches with a vulcanization process parameter deviation of no more than 2% are allowed to be merged. The specific judgment logic for compatibility verification is as follows: First, verify the consistency of model parameters; if not satisfied, incompatibility is directly determined. Second, verify the consistency of material parameters; if not satisfied, incompatibility is determined. Finally, verify the batch difference threshold; if all three conditions are met, compatibility is determined, and the merging operation is allowed.

[0078] In some embodiments of this application, in order to address the physical space issue of merging and storing multiple tailings, in step S430, when the system verification passes and is ready to create a merge record, a physical space feasibility verification will be performed.

[0079] The system obtains the remaining available length of the target vehicle (such as a mandrel or pallet). and maximum permissible outer diameter For multiple hose segments to be merged, the system determines the merging process based on the diameter of each segment. and length Calculate the total occupied length after merging. .

[0080] If the merging operation involves rewinding on the same mandrel, the system also needs to calculate the theoretical outer diameter after rewinding based on the mandrel's standard parameters. Only when and Only when the physical space is insufficient will the system confirm that the merge operation is physically feasible and generate a new merged tubing record. If there is insufficient physical space, the system will display a "Vehicle capacity insufficient" message and terminate the merge process. This logic ensures that changes to digital archives always align with the objective laws of the physical world.

[0081] In some embodiments of this application, the minimum length for cutting hoses is limited to 0.5 meters. Hoses shorter than 0.5 meters are not allowed to be cut and are directly judged as unusable waste. The maximum length after merging is limited to 100 meters. Hoses exceeding this length are not allowed to be stored and must be split into multiple segments for separate storage. The approval process for cutting / merging operations is as follows: when the cutting length is less than 1 meter or the number of merged segments exceeds 5, a warehouse supervisor-level user must submit an approval application in the system. The operation can only be performed after approval. Other routine cutting / merging operations are performed directly by the warehouse administrator, and the system automatically records the operation log.

[0082] In some embodiments of this application, the method further includes a warehouse location intelligent recommendation step, which specifically includes the following steps.

[0083] Step S510: On the digital filing interface, obtain the size parameters of the hose body and the load-bearing parameters of the storage area.

[0084] In step S510, the information barrier between the physical properties of materials and the capacity of warehousing facilities is broken down. By accurately extracting key dimensional parameters such as the outer diameter, inner diameter, width, and weight of the hose coil, and combining them with hard indicators such as the shelf height, depth, and maximum load-bearing limit of the warehouse area, a two-way data model encompassing material demand and warehouse space supply is systematically constructed. This process transforms the traditional extensive shelving method, which relies on manual visual inspection or experience-based judgment, into a quantitative analysis process based on precise data. This ensures that subsequent recommendation logic is based on a deep understanding of the material's form and storage environment, effectively avoiding space waste or shelf collapse risks caused by large-sized or heavy-load hoses being mistakenly placed in incompatible warehouse locations.

[0085] Step S520: Based on the matching relationship between size parameters and load-bearing parameters, a recommendation algorithm is used to calculate the fit score, and the storage location with the highest score is intelligently recommended.

[0086] In step S520, multi-dimensional logical operations are used to find the optimal solution for space utilization and safety. The recommendation algorithm not only verifies whether the hoses can be physically placed in the storage location, but also deeply calculates the balance of weight distribution and the compactness of space occupation, generating a quantitative suitability score for each potential storage location. By selecting the storage location with the highest score, the system can automatically allocate heavy hoses to the bottom load-bearing area and light or small hoses to the upper space, thereby maximizing the utilization of the warehouse's three-dimensional space while ensuring storage safety. This intelligent scoring and recommendation mechanism effectively solves the inefficient storage problems in traditional management, such as heavy items being placed on top of light items and large materials being used for small tasks, significantly improving the standardization level of warehousing operations and overall operational efficiency.

[0087] Step S530: Generate a shelving instruction, assign the tubing body and associated mandrel / ribbon to the recommended storage location, and update the inventory location data.

[0088] In step S530, the consistency between the centralized physical storage of complete sets of materials and the digital records is ensured. The shelving instructions generated by the system not only include the target location of the hose itself, but also mandate the allocation of associated mandrels or ribbons to the same or adjacent storage locations. This physically solidifies the proximity relationship between the main body and its accessories, greatly shortening the walking path and search time during subsequent picking and outbound operations. At the same time, real-time updates of inventory location data ensure that the digital map in the warehouse management system and the physical layout on-site are synchronized at millisecond level, eliminating difficulties in finding goods and inventory discrepancies caused by lagging location information, and providing solid data navigation for efficient outbound operations and accurate inventory counts.

[0089] In some embodiments of this application, the recommendation algorithm employs a multi-factor weighted scoring model to calculate the storage location suitability. Specifically, the system pre-defines a scoring function that comprehensively considers the spatial matching degree of the storage location. Load-bearing safety and work efficiency factor The specific calculation logic is as follows: First, the system calculates the minimum space required based on the physical parameters of the hose body. and actual weight Then, iterate through all available storage locations and calculate the individual score for each location. Among these, spatial matching degree... The storage space volume is calculated using an inverse proportional function. and The closer the ratio is to 1 (neither underutilizing resources nor overcrowding), the higher the score; load-bearing safety. Then based on the maximum load-bearing capacity of the storage location and A linear mapping is applied to the difference; a larger difference indicates greater safety and a higher score. (Work efficiency factor) Then based on the path length from the storage location to the outlet. Or the number of shelf layers The system assigns values ​​based on proximity and layer level (e.g., lower-level overloaded areas), resulting in higher scores. Finally, the system weights and sums these three factors to generate a comprehensive score for the storage location. Its mathematical expression can be represented as: ,in , , These are preset weighting coefficients.

[0090] After calculating the scores of all candidate storage locations, the system performs a sorting operation and selects the storage location with the highest score as the recommended result. If multiple storage locations have the same score, the system prioritizes the storage location that already stores the same type of materials (same storage principle) to achieve intensive management of storage location resources.

[0091] In some embodiments of this application, after obtaining the dimensional parameters of the hose body and the load-bearing parameters of the storage area, the system constructs a dynamic stress model. Specifically, the system calculates the stress based on the material density of the hose. outer diameter of coil , inner diameter and number of winding layers The actual volume V of the hose was calculated using the formula for the volume of a torus, and then the actual weight exerted by the hose on the shelf was deduced. More importantly, the system will determine the inner diameter of the reel. Calculate its contact area with the shelf beam. In conjunction with the allowable pressure of the shelf material Calculate the pressure risk value of the hose under static storage conditions. Only when and Less than the maximum layer load capacity set for the storage area Only when this condition is met will the location be included in the recommendation candidate set. The introduction of this physical model enables the software system to accurately simulate the mechanical constraints of the physical world, effectively preventing overloaded recommendations caused by parameter misinterpretation.

[0092] In some embodiments of this application, the main interface also includes a matrix report control, which displays a matrix dynamic report in response to a trigger command on the matrix report control, including the following steps.

[0093] Step S610: Construct a report matrix layout with time period as columns and business dimension as rows.

[0094] In step S610, a matrix-style structured layout is used to orthogonally arrange the time series and business categories, allowing managers to simultaneously observe the performance of different business segments on a continuous time axis within the same view. This layout organizes discrete business data into a logically related matrix, optimizing the spatial density of information and establishing an analytical framework with time as the horizontal axis and business as the vertical axis. This provides a standardized container for subsequent data filling and trend analysis, helping managers quickly build a comprehensive understanding of warehouse operations.

[0095] Step S620: Obtain warehousing indicator data related to hoses and display the indicator data horizontally in parallel according to the selected period.

[0096] Step S620 implements continuous monitoring and periodic comparative analysis of warehouse operation data. By horizontally displaying key performance indicators such as inventory turnover, inbound volume, outbound volume, and obsolete material ratio at daily, weekly, and monthly granularities, a clear data flow is formed. This horizontal parallel display allows the system to intuitively reveal the fluctuations of business indicators across different periods, helping managers quickly identify peak and trough periods, thereby discovering cyclical patterns or abnormal changes in operations and providing objective data-based evidence for capacity planning and resource allocation.

[0097] Step S630: Visually encode the trend changes of the indicator data. Specifically, based on the comparison results between the indicator data and the preset threshold, generate color gradients or micro-charts and overlay them in the report cells.

[0098] Step S630 introduces a visual intelligence analysis mechanism, which significantly reduces the cognitive load and time cost of data interpretation. It transforms dry numbers into intuitive visual signals, automatically highlighting abnormal data exceeding preset thresholds or presenting data trends through color gradients (such as red-yellow-green heatmaps) or embedded micro-charts. This visual encoding technology allows managers to instantly locate risk points such as inventory backlog and stagnant circulation within massive amounts of data without having to meticulously analyze each line of data. This represents a shift from passively reviewing data to proactively perceiving anomalies, significantly improving the responsiveness and accuracy of management decisions.

[0099] In step S640, in response to a click operation on any period data cell, drill down to display the detailed inbound and outbound records corresponding to that period.

[0100] Step S640 establishes a seamless traceability channel from macro-level statistics to micro-level execution, resolving the disconnect between aggregated data and original documents. This endows reports with interactive drill-down capabilities. When managers discover anomalies in indicators for a given period, they can directly retrieve every specific inbound and outbound transaction within that timeframe simply by clicking the corresponding data cell, without switching system modules or re-querying the database. This linked drill-down mechanism not only verifies the authenticity and accuracy of the aggregated data but also provides the most direct data clues for root cause analysis of anomalies, ensuring that warehouse management sees both the forest and the trees, achieving an efficient closed loop between data monitoring and business verification.

[0101] In some embodiments of this application, the preset threshold mentioned in step S630 is not a fixed constant, but a dynamic threshold based on time series analysis. The system uses a moving average method or exponential smoothing method to calculate the expected average value for the current period based on historical indicator data from the past N periods (e.g., the past 12 months). and standard deviation The system sets the first-level warning threshold to... The level 2 warning threshold is set as follows: .

[0102] When generating a color gradient, if the current cell data satisfy If it meets the requirements, it will be displayed in green; if it does not meet the requirements, it will be displayed in green. If it is yellow, it will be displayed; if If the data points are not clearly defined, they will be displayed in red. For micro-charts, the system uses a front-end rendering algorithm to connect historical data points within a cell into a line, and dynamically changes the line's color or thickness based on the data point's position relative to the dynamic threshold line. This dynamic encoding method based on a statistical model enables reports to adapt to business fluctuations.

[0103] In some embodiments of this application, reference is made to Figure 2 The main interface 100 serves as the entry point to the warehouse management system, integrating full lifecycle management functions for hose materials, from filing and outbound shipment to surplus material analysis. The main interface 100 features four functional entry controls, each corresponding to a different business processing module: the digital filing control 101 triggers the digital filing process for the hose itself and its associated materials; the outbound verification control 102 triggers the compliance verification process when the hose leaves the warehouse; the surplus material analysis control 103 triggers the evaluation and consolidation storage process for surplus materials after hose use; and the matrix report control 104 displays statistical reports of warehouse data. Through the layout of these four controls, the main interface 100 achieves modular entry management of the core warehouse management business, enabling operators to intuitively and conveniently switch between different work scenarios.

[0104] In some embodiments of this application, reference is made to Figure 3 The system showcases the digital filing sub-interface 200 of the multi-source material warehousing management interactive system for rubber hoses. This interface is used to complete the entire process of filing rubber hoses upon warehousing. Operators first enter the model (e.g., SIL-50H), material (e.g., platinum vulcanized silicone rubber), specifications (e.g., 5mm wall thickness, 500m length), and batch number (e.g., B20260410A) in the hose information input area 201. The system then generates a unique hose code preview based on this. Subsequently, in the matching material selection area 202, the system automatically filters compatible mandrels (e.g., CORE-STEEL-50, 50mm outer diameter steel mandrel) and color strips (e.g., TAPE-RED-20, 20mm wide red identification strip) according to the model. The operator selects and completes the binding from the options; then, in the physical parameter configuration area 203, the operator inputs the outer diameter of the coil (1200mm), the inner diameter of the coil (500mm), the number of winding layers (10 layers), and the measured weight (850kg). The system automatically calculates and recommends a storage location based on the measured weight (such as A01-02-03, the bottom heavy-duty area); finally, the operator clicks the digital file save control 204 to complete the generation and storage of the hose digital file, realizing the full-process digital filing of the hose body, supporting materials, and physical parameters.

[0105] In some embodiments of this application, reference is made to Figure 4This document demonstrates the outbound verification sub-interface 300 in the warehouse management interaction system for multi-source materials of rubber hoses. This interface is used to ensure the accuracy and compliance of rubber hose outbound operations. The operator first uploads an Excel spreadsheet containing outbound information (such as Excel spreadsheet (1)) through the outbound instruction import area 301. After clicking the "parse" button, the system automatically parses the file content (such as the unique code of the requested outbound rubber hose being SI50260410A001, and the required quantity being 1 roll). Subsequently, the system activates the matching module 302 and the inventory status verification module 303 to query the warehouse management system in real time: confirming that the rubber hose body inventory is sufficient and the status is "vulcanized", and the status of the mandrel and ribbon is "idle and available". When all verification items pass, the interface displays a green checkmark "verification passed". The system automatically locks the inventory of the corresponding storage location (such as A01-02-03), generates an outbound task order, and allows the forklift driver to perform the picking operation, thereby completing the full process verification and task issuance for rubber hose outbound.

[0106] Secondly, refer to Figure 5 This application provides a warehouse management interactive system for multi-source materials of rubber hoses, which is used to execute the warehouse management interactive method steps of multi-source materials of rubber hoses as described above, including a main interface module, a digital filing module, an outbound verification module, and a surplus material processing module.

[0107] The main interface module is configured as follows: it displays the main interface for warehouse management of multi-source materials of hoses; the main interface includes digital filing controls, outbound verification controls and surplus material analysis controls. The digital filing module is configured to: respond to the trigger command of the digital filing control, display the digital filing sub-interface, construct the digital file of the hose body-matching-physical data, forcibly bind the hose body, associated mandrel or ribbon and coil physical parameters, and generate inventory data containing matching relationships. The outbound verification module is configured to: respond to the trigger command of the outbound verification control, display the outbound verification sub-interface, and automatically verify the inventory status of the hose body and its associated mandrel or ribbon in the current outbound command, as well as whether the process status of the hose body meets the outbound requirements, based on the digital archive; if the verification passes, an outbound task is generated; if the verification fails, the outbound verification sub-interface is fed back with information on missing, abnormal, or process-incompatible matching materials. The waste material processing module is configured to: respond to the trigger command of the waste material analysis control, display the waste material analysis sub-interface, respond to the hose cutting or merging operation command, merge and store multiple sections of hose tail material in the same carrier or cut and split the whole roll of hose, update the length data and physical location information in the digital file, generate a new digital file and associate it with the original batch information to achieve decimeter-level accurate traceability.

[0108] In some embodiments of this application, the above system interfaces with the enterprise's existing WMS and ERP systems via RESTful API interfaces. The interface data format is JSON, including three parts: identity verification field, request type field, and business data field. The data synchronization mechanism is as follows: incremental data is synchronized in real time, that is, data generated by hose warehousing, outbound, cutting, and merging operations is pushed to the WMS and ERP systems within 1 second after the system completes processing; full data is fully verified and synchronized once a day at 2:00 AM to ensure data consistency between the two systems. The conflict handling rule is as follows: when inconsistencies occur between the two systems, the data of this warehouse management interaction system takes precedence, automatically overwriting the abnormal data in the WMS and ERP systems, and simultaneously generating a conflict alarm log and pushing it to the system administrator.

[0109] Furthermore, embodiments of this application provide an electronic device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the aforementioned interactive method steps for the storage management of multi-source materials in hoses.

[0110] In addition, embodiments of this application provide a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the aforementioned interactive method steps for the storage management of multi-source materials for hoses.

[0111] In summary, the warehouse management interaction method and related equipment for multi-source materials of hoses provided in this application have the following technical effects.

[0112] This technical solution deeply integrates digital twins, intelligent algorithms, and interactive visualization technologies to construct a refined management system that spans the entire lifecycle of hose storage. This solution not only achieves logical binding and physical coordination between the hose itself and its associated mandrels, ribbons, and other multi-source materials, but also addresses core pain points in traditional warehouse management such as discrepancies between records and actual inventory, missing accessories, wasted space, and delayed decision-making through innovative mechanisms like surplus material reprocessing, process status verification, and matrix-style data insights.

[0113] Furthermore, by dynamically updating digital archives and linking them with unique codes, traceability is ensured at every stage, from raw material warehousing to the recycling of surplus materials, significantly improving the accuracy of inventory data and material turnover efficiency. Automatic verification based on process status and the availability of supporting resources effectively prevents quality incidents and production stoppages caused by mis-shipment of semi-finished products and conflicts over critical resources. Intelligent warehouse location recommendation and matrix-style report drill-down functionality transform warehouse management from a passive response to proactive optimization and prediction, significantly reducing manual intervention costs and operational error rates. Ultimately, while ensuring production safety and product quality, a comprehensive improvement in warehouse space utilization, operational efficiency, and management transparency is achieved.

[0114] It should be noted that in all specific embodiments of this application, when processing data related to user identity or characteristics, such as user information, user behavior data, user historical data, and user location information, user permission or consent is obtained first. Furthermore, the collection, use, and processing of this data comply with relevant laws, regulations, and standards of the relevant countries and regions. In addition, when embodiments of this application require access to sensitive personal information of users, separate permission or consent from the user is obtained through pop-ups or redirects to confirmation pages. Only after obtaining the user's separate permission or consent is the necessary user-related data for the proper functioning of the embodiments of this application obtained.

[0115] In some alternative embodiments, the functions / operations mentioned in the block diagrams may not occur in the order shown in the operation diagrams. For example, depending on the functions / operations involved, two consecutively shown blocks may actually be executed substantially simultaneously, or the blocks may sometimes be executed in reverse order. Furthermore, the embodiments presented and described in the flowcharts of this application are provided by way of example to provide a more comprehensive understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and sub-operations described as part of a larger operation are executed independently.

[0116] Furthermore, although this application is described in the context of functional modules, it should be understood that, unless otherwise stated, one or more of the functions and / or features may be integrated into a single physical device and / or software module, or one or more functions and / or features may be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding this application. Rather, given the properties, functions, and internal relationships of the various functional modules in the apparatus disclosed herein, the actual implementation of the module will be understood within the scope of ordinary skill of an engineer. Therefore, those skilled in the art can implement the application set forth in the claims using ordinary skill. It is also understood that the specific concepts disclosed are merely illustrative and are not intended to limit the scope of this application, which is determined by the full scope of the appended claims and their equivalents.

[0117] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several programs to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0118] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequential list of executable programs for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, a program execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can retrieve and execute a program from or in conjunction with such a program execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can mean any means that can contain, store, communicate, propagate, or transmit a program for use by or in conjunction with a program execution system, apparatus, or device.

[0119] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or, if necessary, processing in a suitable manner, and then stored in computer memory.

[0120] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable program execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0121] In the foregoing description of this specification, the reference to terms such as "one embodiment / implementation," "another embodiment / implementation," or "certain embodiments / implementations," etc., indicates that a specific feature, structure, material, or characteristic described in connection with an embodiment or example is included in an embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0122] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

[0123] The above is a detailed description of the preferred embodiments of the present invention. However, the present invention is not limited to the embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention. All such equivalent modifications or substitutions are included within the scope defined by the claims of the present invention.

Claims

1. A warehouse management and interactive method for multi-source materials in hoses, characterized in that, Includes the following steps: The main interface for warehouse management of multi-source materials for display hoses includes digital filing controls, outbound verification controls, and surplus material analysis controls. In response to the trigger command of the digital filing control, the digital filing sub-interface is displayed to construct a digital file of the hose body, accessories, and physical components, and to forcibly bind the hose body, associated mandrel or ribbon, and coil physical parameters to generate inventory data containing accessory relationships. In response to the trigger command of the outbound verification control, the outbound verification sub-interface is displayed. Based on the digital file, the inventory status of the hose body and its associated mandrel or ribbon in the current outbound command, as well as whether the process status of the hose body meets the outbound requirements, are automatically verified. In response to the trigger command of the scrap analysis control, the scrap analysis sub-interface is displayed. In response to the hose cutting or merging operation command, multiple sections of hose tail material are merged and stored in the same carrier or the whole roll of hose is cut and split. The length data and physical location information in the digital file are updated, a new digital file is generated and associated with the original batch information.

2. The interactive method for warehouse management of multi-source materials in hoses according to claim 1, characterized in that, The digital filing interface includes a hose body information input area, a supporting material selection area, a physical parameter configuration area, and a digital file saving control. In the digital filing interface, the digital file is constructed by binding the hose body, associated mandrel or ribbon, and coil physical parameters to generate inventory data containing matching relationships, including the following steps: In the hose body information input area, input the hose model, specifications, material type and production batch to generate basic data of the hose body; In the matching material selection area, a core rod or ribbon matching the hose body is selected from the preset material library, and a one-to-one or many-to-one matching mapping relationship is established. In the physical parameter configuration area, the outer diameter, inner diameter, number of winding layers, weight, and storage location information of the coil are entered to form a physical attribute dataset associated with the hose body; In response to the trigger command of the digital file saving control, the basic data of the hose body, the matching mapping relationship and the physical attribute dataset are structured and integrated. Using the unique code of the hose as the primary key, a digital file containing a three-layer structure of body-matching-physical is generated and synchronously updated to the inventory database of the warehouse management system to form a traceable inventory record with complete matching relationship.

3. The interactive method for warehouse management of multi-source materials in hoses according to claim 1, characterized in that, The outbound verification sub-interface includes an outbound instruction import area, a matching relationship control, an inventory status verification control, and a verification result feedback control. In the outbound verification sub-interface, based on the digital file, the inventory status of the hose body and its associated mandrel or ribbon in the current outbound instruction is automatically verified, including the following steps: In the outbound instruction import area, an outbound request containing the unique code of the hose, the required quantity and matching type is received, and parsed to generate an outbound task to be verified. In response to the trigger command of the matching control, the digital file corresponding to the unique code of the hose is called, the material code of the core rod or ribbon bound therein and the required quantity are extracted, and a matching material verification list is constructed. In response to the trigger command of the inventory status verification control, the current inventory quantity, storage location information and availability status of the hose body and its supporting materials in the warehouse management system are queried in real time to determine whether the quantity and completeness requirements in the outbound task are met. If all materials are in sufficient stock and their matching relationships are consistent, a verification pass flag is generated and the corresponding inventory lock is released; if any material is missing, insufficient in quantity, or mismatched, a verification failure message is generated, the missing item is marked, and the outbound process is suspended until manual intervention or instruction correction.

4. The interactive method for warehouse management of multi-source materials in hoses according to claim 1, characterized in that, The automatic verification of the inventory status of the hose body and its associated mandrel or ribbon in the current outbound instruction specifically includes: Identify the current process state of the hose body, including the state before vulcanization and the finished product state; The verification is considered successful and an outbound task is generated only when the process status of the hose body is consistent with the requirements of the outbound instruction and the associated mandrel / ribbon is in an idle state.

5. The warehousing management and interaction method for multi-source materials in hoses according to claim 1, characterized in that, In the residual material analysis sub-interface, in response to hose slitting or merging operation commands, multiple hose tail pieces are merged and stored in the same carrier, or the entire roll of hose is slitted and split. The length data and physical location information in the digital file are updated, a new digital file is generated and associated with the original batch information, including the following steps: The operation type selection window is displayed in the residual material analysis sub-interface. Select the "splitting" or "merging" mode, and enter the unique code of the target hose, the operation quantity and the target carrier number. In response to the selection of the "slitting" mode, the digital file corresponding to the unique code of the hose is called to obtain the current total length, coil status and inventory location. One or more new hose segments are generated according to the input slitting length, and a temporary unique code is assigned to each segment. At the same time, the original hose digital file is marked as invalid and the corresponding new hose segment digital file is generated. In response to the selection of the "Merge" mode, select two or more hose segments in the "End-of-Life" state, verify their model, material and batch compatibility. If the verification passes, create a new merged hose record, add the lengths of each segment as the new total length, assign a new unique code, and update the status of the original hose segment to "Merged". Based on the cutting or merging results, one or more new digital files are generated, which contain updated length data, physical location, carrier number and operation timestamp. The original hose unique code and production batch are associated in the new file as fields and synchronously written into the warehouse management system inventory database to ensure traceability throughout the entire life cycle.

6. The interactive method for warehouse management of multi-source materials in hoses according to claim 1, characterized in that, The method also includes a smart storage location recommendation step: On the digital filing interface, obtain the dimensional parameters of the hose body and the load-bearing parameters of the storage area; Based on the matching relationship between the size parameters and the load-bearing parameters, a recommendation algorithm is used to calculate the fit score, and the storage location with the highest score is intelligently recommended. Generate a shelving instruction to assign the tubing body and associated mandrel / ribbon to the recommended storage location and update the inventory location data.

7. The interactive method for warehouse management of multi-source materials in hoses according to claim 1, characterized in that, The main interface also includes a matrix report control; Responding to a trigger command on the matrix report control, displaying a matrix dynamic report includes the following steps: Construct a report matrix layout with time periods as columns and business dimensions as rows; Obtain relevant warehousing index data for hoses, and display the index data horizontally in parallel according to the selected period; Visual encoding of trend changes in indicator data involves generating color gradients or micro-charts overlaid in report cells based on the comparison results between indicator data and preset thresholds. In response to a click on any period's data cell, the system will drill down to display the detailed inbound and outbound records for that period.

8. A warehouse management and interactive system for multi-source materials in hoses, characterized in that, The steps of the warehouse management interaction method for hose multi-source materials as described in any one of claims 1 to 7 are used to perform the following steps.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the warehouse management interaction method for multi-source materials of hoses as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, It stores a computer program, which, when executed by a processor, implements the steps of the warehouse management interaction method for multi-source materials of hoses as described in any one of claims 1 to 7.

Images