A method and system for extracting and detecting materials in a line-side warehouse

Abstract

The present invention relates to the technical field of automated warehousing, and particularly to a method and system for detecting the extraction of materials in a line-side warehouse. The method includes: obtaining production demand information and parsing it to obtain material information, where the material information includes the type of material to be extracted, the quantity of material required, the destination point of the material, and the material picking time window; based on the parsed material information, determining the line-side warehouse storing the material to be extracted in a preset material management system and marking it as the target line-side warehouse; obtaining the mis-material rejection duration during the material extraction process in the target line-side warehouse; calculating the single extraction duration of the material to be extracted according to the destination point of the material and the location of the target line-side warehouse; calculating the total extraction duration of the material to be extracted based on the quantity of material required and the single extraction duration to obtain the material extraction duration. It can improve the accuracy, timeliness, and reliability of material management, and reduce the phenomenon of production line downtime waiting caused by material errors.

Description

Technical Field

[0001] The present invention relates to the technical field of automated warehousing, and particularly to a method and system for detecting and extracting materials in a line-side warehouse. Background Art

[0002] In modern manufacturing, a line-side warehouse is used to store materials such as raw materials, semi-finished products, and components required immediately on the production line to ensure the continuity and efficiency of production; with the development of Industry 4.0 and intelligent manufacturing, higher requirements are also put forward for the management of line-side warehouses, especially in the material extraction link, where the accuracy and timeliness of materials need to be ensured.

[0003] The production orders of manufacturing enterprises are diverse, and each order corresponds to different material requirements; these requirements not only include specific types of materials, but also involve different required quantities, and the materials need to be accurately supplied to specific positions on the production line. For example, in automobile manufacturing, the types and quantities of components required on the assembly lines of different vehicle models vary greatly, and the components need to be supplied to the correct positions on the assembly line in a timely manner. In the actual process of extracting materials from the line-side warehouse, the phenomenon of wrong materials often occurs; wrong materials may be caused by reasons such as manual operation errors, data errors in the material management system, or chaotic material placement. If wrong materials are not discovered and processed in a timely manner, it will lead to the production line stopping and waiting, seriously affecting production efficiency.

[0004] Existing material extraction detection methods usually only consider the extraction process of materials to be extracted, without comprehensively evaluating the duration of removing wrong materials and the duration of material extraction, making it difficult for production management to accurately judge whether materials can be completely supplied to the production line within the specified material extraction time window, and unable to take effective countermeasures in a timely manner to avoid production line delays. Summary of the Invention

[0005] To solve the above technical problems, the present invention provides a method and system for detecting and extracting materials in a line-side warehouse, which can improve the accuracy, timeliness, and reliability of material management, and reduce the phenomenon of the production line stopping and waiting caused by wrong materials.

[0006] In a first aspect, the present invention provides a method for detecting and extracting materials in a line-side warehouse, the method comprising:

[0007] Obtaining production demand information and parsing it to obtain material information, the material information including the type of material to be extracted, the required quantity of the material, the target position of the material, and the material extraction time window;

[0008] Based on the parsed material information, determining in a preset material management system the line-side warehouse storing the material to be extracted, and marking it as the target line-side warehouse;

[0009] Obtain the misfeed rejection duration during the material extraction process in the target line-side warehouse;

[0010] Calculate the single extraction duration of the material to be extracted based on the target position of the material and the position of the target line-side warehouse;

[0011] Based on the material demand quantity and the single extraction duration, calculate the total extraction duration of the material to be extracted to obtain the material extraction duration;

[0012] Based on the misfeed rejection duration, the material extraction duration, and the material picking time window, determine whether the material extraction from the line-side warehouse this time is feasible.

[0013] Further, obtaining the misfeed rejection duration during the material extraction process in the target line-side warehouse includes:

[0014] Obtain the real-time image of the material storage in the target line-side warehouse;

[0015] Use a preset material recognition model to identify misfeeds in the real-time image of the material storage, identify the material to be extracted and at least one misfeed in the target line-side warehouse, and obtain the real-time material sequence of the target line-side warehouse; the misfeed is a material that does not belong to the type of the material to be extracted;

[0016] Based on the material demand quantity, perform statistics in the real-time material sequence to obtain the quantities of various misfeeds that need to be rejected during the subsequent material extraction process;

[0017] For each type of misfeed, traverse and extract in a preset misfeed rejection time limit comparison table to obtain the corresponding single rejection duration; in the misfeed rejection time limit comparison table, each material corresponds to a single rejection duration;

[0018] Based on the quantities of various misfeeds and the single rejection duration, calculate the total duration of rejecting various misfeeds to obtain the misfeed rejection duration.

[0019] Further, based on the parsed material information, determine the line-side warehouse storing the material to be extracted in a preset material management system and mark it as the target line-side warehouse, including:

[0020] Access a preset material management system, which records the detailed information of materials in all line-side warehouses, including material types, inventory quantities, and storage locations;

[0021] Use the parsed material type to be extracted as a query condition to locate all possible line-side warehouses containing the corresponding material in the material management system;

[0022] In the list of located line-side warehouses, check the current inventory status of each of the possible line-side warehouses. If the current inventory status of a certain line-side warehouse is insufficient to cover the quantity of material requirements, other possible line-side warehouses need to be considered.

[0023] Consider the distance and transportation route between the destination point of the material and the location of the possible line-side warehouse, select the possible line-side warehouse with the optimal transportation route, and mark it as the target line-side warehouse.

[0024] Further, the real-time material sequence represents a list of the arrangement order of materials in the current target line-side warehouse. It is to check each material one by one starting from the outlet of the target line-side warehouse, fully identify the types and positions of the visible materials in the entire target line-side warehouse, and form a logical arrangement order.

[0025] Further, the single extraction duration represents the average time required to transport a unit quantity of materials to be extracted from the target line-side warehouse to the destination point of the materials.

[0026] Further, the single extraction duration is determined by comprehensively considering the optimal transportation route, the performance of transportation equipment, and the handling operation time.

[0027] Further, based on the misfeeding rejection duration, the material extraction duration, and the material picking time window, determine whether the extraction of materials from the line-side warehouse this time is feasible, including:

[0028] Judge whether the sum of the misfeeding rejection duration and the material extraction duration is greater than the time length corresponding to the material picking time window; if it is greater, generate an alarm message of "too much misfeeding, unable to extract materials in time" and display it to the staff; otherwise, generate an information of "able to extract materials in time" and display it to the staff.

[0029] On the other hand, the present application also provides a line-side warehouse material extraction detection system, which includes:

[0030] A production demand information analysis module, which is used to obtain the demand information in the production order and analyze it to obtain the type of materials to be extracted, the quantity of material requirements, the destination point of the production line where the materials need to be delivered, and the material picking time window;

[0031] A target line-side warehouse determination module, which is used to search for the line-side warehouse storing the materials to be extracted in the preset material management system according to the material information obtained by analysis, and mark it as the target line-side warehouse for subsequent material extraction operations;

[0032] A misfeeding rejection duration acquisition module, which is used to obtain the duration of the rejection operation required due to misfeeding during the process of material extraction in the target line-side warehouse;

[0033] The single extraction duration calculation module is used to calculate the duration required for a single extraction of the material based on the target point of the production line where the material needs to be delivered and the location of the target in-line warehouse.

[0034] The material extraction duration calculation module is used to calculate the total extraction duration of the material to be extracted, that is, the material extraction duration, based on the quantity of material requirements and the single extraction duration.

[0035] The extraction timeliness judgment module is used to add the misfeeding rejection duration and the material extraction duration, and compare the sum with the time length corresponding to the material picking time window. If the sum of the two is greater than the material picking time window, an alarm message of "Too many misfeedings, unable to extract materials in time" is generated and displayed to the staff; otherwise, an information of "Materials can be extracted in time" is generated and displayed to the staff.

[0036] In a third aspect, the present application provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor. The transceiver, the memory, and the processor are connected through the bus. When the computer program is executed by the processor, the steps in any one of the above methods are implemented.

[0037] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps in any one of the above methods are implemented.

[0038] Compared with the prior art, the beneficial effects of the present invention are as follows: By integrating steps such as production demand analysis, misfeeding identification and rejection duration calculation, single and total extraction duration evaluation, etc., the present invention realizes the comprehensive monitoring and intelligent management of the material extraction process. This method first accurately analyzes the specific parameters of the material to be extracted from the production demand information, including type, quantity, target point, and material picking time window, to ensure the pertinence of material supply. Then, the target in-line warehouse is located in the preset material management system, and advanced image recognition or sensor technology is used to obtain the material storage status in real time, effectively avoiding misfeeding problems caused by manual operation errors and chaotic material placement. More importantly, the present invention not only considers the standard material extraction process, but also particularly adds the key factor of misfeeding rejection duration for comprehensive evaluation, so as to accurately judge whether the material can be completely supplied to the production line within the specified time, take measures in advance to avoid delays, significantly improve the accuracy, timeliness and reliability of material management, reduce the production line downtime waiting phenomenon caused by material errors, greatly improve the overall production efficiency, and meet the high requirements of modern manufacturing for refined management and intelligent production. Description of the Drawings

[0039] Figure 1It is the flowchart of the method for detecting the extraction of materials in the line-side warehouse in the first embodiment;

[0040] Figure 2 It is the structural diagram of the system for detecting the extraction of materials in the line-side warehouse in the second embodiment. Specific implementation manners

[0041] In the description of the present application, those skilled in the art should know that the present application can be implemented as a method, a device, an electronic device, and a computer-readable storage medium. Therefore, the present application can be specifically implemented in the following forms: completely hardware, completely software (including firmware, resident software, microcode, etc.), and a combination of hardware and software. In addition, in some embodiments, the present application can also be implemented in the form of a computer program product in one or more computer-readable storage media, and the computer-readable storage media contains computer program code.

[0042] The above-mentioned computer-readable storage media can adopt any combination of one or more computer-readable storage media. Computer-readable storage media include: electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or components, or any combination of the above. More specific examples of computer-readable storage media include: portable computer disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, compact disk read-only memories, optical storage devices, magnetic storage devices, or any combination of the above. In the present application, the computer-readable storage media can be any tangible medium that contains or stores a program, and the program can be used by or in combination with an instruction execution system, device, or component.

[0043] In the technical solution of the present application, the acquisition, storage, use, processing, etc. of data all comply with the relevant regulations of national laws.

[0044] The present application describes the provided method, device, and electronic device through flowcharts and / or block diagrams.

[0045] It should be understood that each block of the flowchart and / or block diagram, as well as the combination of blocks in the flowchart and / or block diagram, can be implemented by computer-readable program instructions. These computer-readable program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing devices, thereby producing a machine. These computer-readable program instructions are executed by a computer or other programmable data processing devices, resulting in a device that implements the functions / operations specified in the blocks of the flowchart and / or block diagram.

[0046] These computer-readable program instructions can also be stored in a computer-readable storage medium that can cause a computer or other programmable data processing apparatus to work in a specific manner. In this way, the instructions stored in the computer-readable storage medium produce an instruction device product that includes instructions for implementing the functions / operations specified in the blocks of the flowchart and / or block diagram.

[0047] The computer-readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device, so that a series of operation steps are executed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby enabling the instructions executed on the computer or other programmable data processing apparatus to provide a process for implementing the functions / operations specified in the blocks of the flowchart and / or block diagram.

[0048] The present application will be described below with reference to the accompanying drawings in the present application.

[0049] Embodiment 1: As Figure 1 shown, a method for extracting and detecting materials in a line-side warehouse of the present invention specifically includes the following steps:

[0050] Step S1: Obtain production demand information and parse it to obtain the type of material to be extracted, the quantity of material required, the destination point of the material, and the material picking time window.

[0051] Step S1 is to obtain the demand information in the production order from the production management system and parse it in detail to determine the specific material extraction requirements. The specific implementation process is as follows:

[0052] Step S11: It is necessary to dock with the production management system of the manufacturing enterprise to obtain the specific demand information of each production order on the production line in real time; the demand information is included in the detailed data of the production order, including but not limited to the type of product to be produced, the types of raw materials or components required, the quantity of each material required, and the specific points on the production line where these materials need to be delivered.

[0053] Step S12: Parse the obtained production demand information; the parsing process mainly extracts the key data in the demand information and converts it into a format that can be recognized and processed; in this step, special attention will be paid to the four key elements of the type of material to be extracted, the quantity of material required, the destination point of the material, and the material picking time window, where:

[0054] Type of material to be extracted: It refers to the types of raw materials or components specified in the production order that need to be extracted from the line-side warehouse;

[0055] Quantity of material required: It refers to the specific quantity of each material required in the production order, which determines the number of times and the total amount of subsequent material extraction;

[0056] Material destination point: It refers to the specific position on the production line where the material needs to be delivered, which determines the transportation path and destination after the material is extracted;

[0057] Material picking time window: It refers to the time limit set by the production system for material extraction, that is, the material must be extracted and delivered to the production line within the specified time to ensure the continuity and efficiency of production.

[0058] Step S13: After the above parsing is completed, preliminarily verify the extracted information to check for data anomalies or inconsistencies, such as the material type not being in the existing inventory, the required quantity exceeding the inventory quantity, etc.; if necessary, prompt the relevant personnel to correct or supplement the information to ensure that all data is accurate and error-free; organize the parsed material extraction requirements into a structured data format to provide a data basis for subsequent steps.

[0059] Step S2: Based on the material information obtained from the parsing, determine the line-side warehouse storing the material to be extracted in the preset material management system and mark it as the target line-side warehouse;

[0060] Step S2 is to determine the line-side warehouse storing the material to be extracted from the material type to be extracted parsed from the production demand information and mark it as the target line-side warehouse. The specific implementation process is as follows:

[0061] Step S21: Access the preset material management system (such as the ERP or WMS warehouse management system), which records the detailed information of all materials in the line-side warehouse, including material types, inventory quantities, storage locations, etc.; by inputting the material type to be extracted parsed from the production demand information as the query condition, the system can quickly locate all possible line-side warehouses containing these materials in the database;

[0062] Step S22: In the preliminarily screened list of line-side warehouses, further check the current inventory status of each candidate line-side warehouse; this step is to confirm that the target line-side warehouse not only stores the required materials, but also its inventory quantity is sufficient to meet the required quantity in the production order; if the inventory of a certain line-side warehouse is not enough to cover all the requirements, other alternative line-side warehouses need to be considered or an emergency replenishment process needs to be initiated;

[0063] Step S23: Considering the distance between the material destination point and the location of the line-side warehouse as well as the transportation path, select the optimal target line-side warehouse; Logistics path optimization not only involves the principle of the shortest physical distance, but also needs to consider factors such as the working efficiency of handling equipment and the congestion of channels to ensure that the material can reach the specified position on the production line most quickly;

[0064] Step S24: Once the optimal target line-side warehouse is determined, clearly mark it to facilitate subsequent material extraction operations. The marking can be a physical identifier (such as an RFID tag) or a virtual mark in the information system, ensuring that workers or automated equipment can quickly identify the correct material source.

[0065] Through the above steps, it is ensured that the selection of the target line-side warehouse not only meets production requirements but also takes into account logistics efficiency, providing a basis for subsequent mismaterial identification, duration calculation, and final material extraction. It not only improves the accuracy of material management but also enhances the transparency and controllability of the entire production process, thus meeting the high requirements of modern manufacturing for refined management and intelligent production.

[0066] Step S3: Obtain the mismaterial rejection duration during the material extraction process in the target line-side warehouse. The specific implementation of Step S3 is as follows:

[0067] Step S31: Through cameras or sensor devices installed in the target line-side warehouse, obtain real-time images of the material storage in the warehouse. These images should cover all possible locations where the materials to be extracted may be stored and ensure that the image clarity is high enough to support subsequent identification work. The key to this step is to ensure that the captured images can truly reflect the current placement of the materials, providing an accurate data basis for the next mismaterial identification.

[0068] Step S32: Use a pre-trained material identification model to analyze the obtained real-time images. The model is based on deep learning algorithms and trained with a large amount of labeled data, capable of identifying different types of materials and their packaging forms. By comparing the materials in the images with the types of materials to be extracted obtained from the analysis of production demand information, it is possible to accurately distinguish which are the correct materials and which are mismaterials that do not belong to the types of materials to be extracted. Finally, generate a real-time material sequence containing correct materials and mismaterials, providing a basis for subsequent processing.

[0069] Step S33: According to the quantity of material requirements parsed from the production order, count the quantities of various mismaterials to be rejected in the real-time material sequence. This step not only counts the types of mismaterials but also accurately calculates the specific quantity of each mismaterial. The statistical results are used to evaluate the additional time resources required during the material extraction process and directly affect the subsequent mismaterial rejection operation.

[0070] Step S34, in order to estimate the time required for wrong material rejection, query the preset wrong material rejection time comparison table; the wrong material rejection time comparison table records the single rejection time of different types of materials under actual operating conditions; for each type of wrong material counted, the corresponding single rejection time will be searched in the wrong material rejection time comparison table; at the same time, it is necessary to consider the influence of factors such as different material sizes, shapes and storage locations on the rejection efficiency, so as to provide a more accurate time prediction;

[0071] Step S35, multiply the number of various wrong materials by their corresponding single elimination time, and then sum them up to calculate the total time required to eliminate all wrong materials. This reflects the amount of wrong material processing work that must be completed before material extraction, and is one of the important indicators for evaluating whether the entire material extraction process can be completed within the specified time. Through the above process, potential risks can be warned in advance, helping managers to adjust plans in time to avoid production line delays due to wrong material problems.

[0072] More specifically, the real-time material sequence represents a list of the arrangement order of materials in the current line-side warehouse. It checks each material one by one starting from the outlet of the line-side warehouse, and conducts a comprehensive analysis of the types and positions of visible materials in the entire line-side warehouse to form a logical arrangement order; it reflects the positional relationship and relative order of the materials. In this logical sequence, not only are the target materials marked, but also the wrong materials that do not belong to the type of material to be extracted are specially marked; therefore, the real-time material sequence is not just a simple list of a series of materials, but includes information such as material type (correct material or wrong material), quantity and their relative position.

[0073] In this step, through the application of real-time image capture and material recognition models, the current status of materials in the target line-side warehouse can be accurately reflected, including the type, quantity and position of correct materials and wrong materials; in addition, using the preset wrong material removal time comparison table, the time required to remove the wrong material can be accurately estimated, so as to better evaluate the feasibility of the entire material extraction process; the implementation of this method not only improves the efficiency of material extraction, but also greatly reduces the risk of production line delays caused by wrong materials; at the same time, the generation of real-time material sequences enables managers to clearly understand the arrangement order and relative position of materials in the line-side warehouse, which provides a strong guarantee for further optimizing material management and improving production efficiency.

[0074] Step S4: Calculate the single extraction time of the material to be extracted according to the material destination point and the location of the target line side warehouse.

[0075] Step S4 is intended to calculate the single extraction time of the material to be extracted according to the material destination point and the location of the target line side warehouse. The specific implementation process is as follows:

[0076] Step S41: Determine the optimal transportation route from the target line side warehouse to the material destination point (i.e., the specific assembly position on the production line). This step not only considers the principle of the shortest physical distance but also comprehensively evaluates factors such as the working efficiency of handling equipment, channel congestion, and any factors that may affect the transportation time. For example, in automobile manufacturing, the assembly line layouts of different vehicle models are complex, and the selection of the material transportation route must take into account avoiding conflicts with other logistics activities.

[0077] Step S42: Analyze the performance parameters of the equipment used for material transportation, such as AGV (Automated Guided Vehicle), conveyor belt, or forklift, etc. The speed, load capacity, and operation flexibility of these devices will directly affect the material transportation time. According to the preset equipment performance database and combined with the specific requirements of the current task, select the most suitable transportation tool and estimate the time required for a single transportation.

[0078] Step S43: In addition to the transportation time, calculate the operation times involved in the material handling process, including but not limited to material picking, loading, unloading, etc. The time consumption of these operations depends on factors such as the size, shape, and weight of the material, and is also affected by the proficiency of the workers. To improve the accuracy, historical data can be introduced for reference, or simulation software can be used to simulate the entire handling process to obtain a more accurate operation time estimate.

[0079] Step S44: Combine all the above factors (transportation path length, transportation equipment performance, and handling operation time) to calculate the total duration required for a single material extraction. The calculation result is not only the basis for calculating the total material extraction duration in subsequent steps but also one of the key bases for evaluating whether the material supply meets the requirements of the picking time window. In this way, it is possible to predict and adjust the material extraction plan in advance to ensure that the material supply is completed within the specified time and avoid the risk of production line interruption due to delays.

[0080] Through the above steps, the accurate calculation of the single extraction duration is achieved, providing strong support for ensuring the timeliness and accuracy of material extraction. This method not only improves the efficiency of material management but also enhances the continuity and stability of production, meeting the requirements of modern manufacturing for refined management and intelligent production.

[0081] Step S5: Based on the material demand quantity and the single extraction duration, calculate the total extraction duration of the material to be extracted to obtain the material extraction duration.

[0082] Step S5 aims to calculate the total extraction duration of the material to be extracted based on the material demand quantity and the single extraction duration to ensure that the material can be accurately and timely supplied to the production line according to the production plan. The specific implementation process is as follows:

[0083] Obtain the specific required quantity of the materials to be extracted from the parsed production demand information; obtain the single extraction duration from step S4; the single extraction duration represents the average time required to transport a unit quantity of materials from the target line-side warehouse to its destination point; the single extraction duration takes into account the influence of multiple factors such as the optimal transportation route, the performance of transportation equipment, and the handling operation time; multiply the required quantity of the materials to be extracted by the corresponding single extraction duration to obtain the total extraction duration of this type of material; if there are multiple different types of materials, calculate the total extraction duration of each material separately, and then add these durations together to finally obtain the total duration of the entire material extraction task.

[0084] Step S6: Determine whether the sum of the mis-material rejection duration and the material extraction duration is greater than the time length corresponding to the material picking time window; if it is greater, generate an alarm message of "Too many mis-materials, unable to extract materials in time" and display it to the staff; otherwise, generate an information of "Materials can be extracted in time" and display it to the staff.

[0085] The purpose of step S6 is to evaluate whether the total duration (including the mis-material rejection duration and the material extraction duration) in the material extraction process meets the specified material picking time window. The specific implementation process is as follows:

[0086] Obtain the mis-material rejection duration from step S35, which represents the total time required to process all mis-materials; at the same time, obtain the total material extraction duration from step S5, which represents the time required to transport all the materials to be extracted from the target line-side warehouse to specific points on the production line.

[0087] Add the mis-material rejection duration and the material extraction duration to obtain the total operation duration of the entire material extraction process; compare the calculated total operation duration with the material picking time window specified in the production order; the material picking time window refers to the time range during which the materials must be extracted and supplied to the production line, usually set by the production plan to ensure the continuity and efficiency of production.

[0088] If the total operation duration is less than or equal to the material picking time window, it indicates that the materials can be extracted and supplied within the specified time without affecting the normal operation of the production line; in this case, the system generates an information of "Materials can be extracted in time" and displays it to the staff to confirm that the material supply can proceed as planned.

[0089] If the total operation duration is greater than the material picking time window, it means that the materials cannot be extracted and supplied within the specified time under the existing conditions, which may cause the production line to stop waiting; at this time, the system generates an alarm message of "Too many mis-materials, unable to extract materials in time" and displays it to the staff; this not only reminds the management to pay attention to potential risks but also prompts them to take emergency measures such as adjusting the production plan, increasing manpower, or optimizing the logistics path to avoid production line delays.

[0090] Step S6 provides key decision-making support information for production management personnel through real-time calculation and judgment; helps management personnel promptly discover potential material supply problems and take corresponding countermeasures, thereby ensuring the continuity and efficiency of production.

[0091] Embodiment 2: As Figure 2 shown, a material extraction and detection system for a line-side warehouse of the present invention specifically includes the following modules;

[0092] A production demand information parsing module, which is used to obtain the demand information in a production order and parse it to obtain the type of material to be extracted, the quantity of material required, the destination point of the production line where the material needs to be delivered, and the material picking time window;

[0093] A target line-side warehouse determination module, which is used to search for the line-side warehouse storing the material to be extracted in a preset material management system according to the parsed material information and mark it as the target line-side warehouse for subsequent material extraction operations;

[0094] A wrong material rejection duration acquisition module, which is used to obtain the duration of the rejection operation required due to wrong materials during the material extraction process in the target line-side warehouse;

[0095] A single extraction duration calculation module, which is used to calculate the duration required for a single extraction of the material according to the destination point of the production line where the material needs to be delivered and the location of the target line-side warehouse;

[0096] A material extraction duration calculation module, which is used to calculate the total extraction duration of the material to be extracted, that is, the material extraction duration, according to the quantity of material required and the single extraction duration;

[0097] An extraction timeliness judgment module, which is used to add the wrong material rejection duration and the material extraction duration and compare the sum with the time length corresponding to the material picking time window. If the sum of the two is greater than the material picking time window, an alarm message of "Too many wrong materials, unable to extract materials in time" will be generated and displayed to the staff; otherwise, an information of "Materials can be extracted in time" will be generated and displayed to the staff.

[0098] In this embodiment, the above-mentioned in-line warehouse material extraction detection system integrates multiple functional modules to achieve intelligent management and monitoring of the entire process of material extraction, significantly improving the accuracy and timeliness of material management; the production demand information analysis module ensures the accurate extraction of material requirements from orders, including type, quantity, destination location, and material picking time window, providing a solid foundation for subsequent operations; the target in-line warehouse determination module can quickly locate the exact location where the required materials are stored, improving the efficiency of material search; the mis-material rejection duration acquisition module combines real-time image recognition technology to not only identify mis-materials but also calculate the additional time required to reject these mis-materials; the single extraction duration calculation module takes into account the material transportation path, making the time estimation more accurate; the material extraction duration calculation module comprehensively considers the required quantity and the single extraction duration to accurately predict the total extraction time; the extraction timeliness judgment module adds the mis-material rejection duration and the material extraction duration and compares it with the material picking time window to give an early warning of possible delay risks, enabling management to take timely measures to avoid production line interruptions; the design logic is rigorous, and each module works together to form a closed-loop management system, effectively solving the problem in traditional methods that only focuses on the material extraction process and ignores mis-material handling, greatly improving production continuity and efficiency, and meeting the requirements of modern manufacturing for refined and intelligent management.

[0099] The various variations and specific embodiments of the in-line warehouse material extraction detection method in the foregoing Embodiment 1 are equally applicable to the in-line warehouse material extraction detection system of this embodiment. Through the foregoing detailed description of the in-line warehouse material extraction detection method, those skilled in the art can clearly know the implementation method of the in-line warehouse material extraction detection system in this embodiment. Therefore, for the sake of brevity of the specification, it will not be elaborated here.

[0100] In addition, the present application also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor. The transceiver, the memory, and the processor are respectively connected through the bus. When the computer program is executed by the processor, it realizes each process of the method embodiment for controlling the output data and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0101] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. A method for extracting and detecting materials in a line-side warehouse, characterized in that, The method includes: Obtain production demand information and parse it to obtain material information, where the material information includes the type of material to be extracted, the quantity of material required, the destination point of the material, and the material picking time window; Based on the parsed material information, determine the line-side warehouse storing the material to be extracted in the preset material management system and mark it as the target line-side warehouse; Obtain the misfeed rejection duration during the material extraction process in the target line-side warehouse; Calculate the single extraction duration of the material to be extracted according to the destination point of the material and the location of the target line-side warehouse; Multiply the required quantity of the material to be extracted by the corresponding single extraction duration to obtain the material extraction duration; Judge whether the sum of the misfeed rejection duration and the material extraction duration is greater than the time length corresponding to the material picking time window; if it is greater, generate an alarm message of "Too many misfeeds, unable to extract materials in time" and display it to the staff; otherwise, generate an information of "Can extract materials in time" and display it to the staff.

2. The method for detecting the extraction of materials in the in-line warehouse according to claim 1, wherein, Obtaining the misfeed rejection duration during the material extraction process in the target line-side warehouse includes: Obtain the real-time image of the material storage in the target line-side warehouse; Use the preset material recognition model to identify misfeeds in the real-time image of the material storage, identify the material to be extracted and at least one misfeed in the target line-side warehouse, and obtain the real-time material sequence of the target line-side warehouse; the misfeed is a material that does not belong to the type of material to be extracted; Based on the quantity of the material required, conduct statistics in the real-time material sequence to obtain the quantities of various misfeeds that need to be rejected during the subsequent material extraction process; For each type of misfeed, traverse and extract in the preset misfeed rejection time efficiency comparison table to obtain the corresponding single rejection duration; in the misfeed rejection time efficiency comparison table, each material corresponds to a single rejection duration; Based on the quantities and single rejection durations of various misfeeds, calculate the total duration of rejecting various misfeeds to obtain the misfeed rejection duration.

3. The method for detecting the extraction of materials in the in-line warehouse according to claim 2, wherein Based on the parsed material information, determining the line-side warehouse storing the material to be extracted in the preset material management system and marking it as the target line-side warehouse includes: Access the preset material management system, which records the detailed information of the materials in all line-side warehouses, including the types of materials, the inventory quantities, and the storage locations; Use the type of the material to be extracted obtained by parsing as the query condition to locate all possible line-side warehouses containing the corresponding material in the material management system; In the list of located line-side warehouses, check the current inventory status of each possible line-side warehouse. If the current inventory status of a certain line-side warehouse is not sufficient to cover the quantity of the material required, other possible line-side warehouses need to be considered; Consider the distance and transportation path between the destination point of the material and the location of the possible line-side warehouse, select the possible line-side warehouse with the optimal transportation path, and mark it as the target line-side warehouse.

4. The method for detecting the extraction of materials in the in-line warehouse according to claim 3, wherein, The real-time material sequence represents a list of the material arrangement order in the current target line-side warehouse. It checks each material one by one starting from the outlet of the target line-side warehouse, fully identifies the types and positions of the visible materials in the entire target line-side warehouse, and forms a logical arrangement order.

5. The method for detecting the extraction of materials in the in-line warehouse according to claim 2, wherein, The single extraction duration represents the average time required to transport a unit quantity of materials to be extracted from the target line-side warehouse to the material destination point.

6. The method for detecting the extraction of materials in the in-line storage as claimed in claim 5, wherein, The single extraction duration is determined by comprehensively considering the optimal transportation path, the performance of transportation equipment, and the handling operation time.

7. A material extraction and detection system for a line-side warehouse, characterized in that, The system is applied to the line-side warehouse material extraction detection method as described in Claim 1. The system includes: A production demand information analysis module, which is used to obtain the demand information in the production order and analyze it to obtain the type of materials to be extracted, the quantity of material requirements, the production line destination point where the materials need to be delivered, and the material picking time window. A target line-side warehouse determination module, which is used to search for the line-side warehouse storing the materials to be extracted in the preset material management system according to the analyzed material information, and mark it as the target line-side warehouse for subsequent material extraction operations. A misaligned material rejection duration acquisition module, which is used to obtain the duration of the rejection operation required due to misaligned materials during the material extraction process in the target line-side warehouse. A single extraction duration calculation module, which is used to calculate the duration required for a single extraction of the material according to the production line destination point where the material needs to be delivered and the location of the target line-side warehouse. A material extraction duration calculation module, which is used to calculate the total extraction duration of the materials to be extracted, that is, the material extraction duration, according to the quantity of material requirements and the single extraction duration. An extraction timeliness judgment module, which is used to add the misaligned material rejection duration and the material extraction duration and compare the sum with the time length corresponding to the material picking time window. If the sum is greater than the material picking time window, an alarm message of "Too many misaligned materials, unable to extract materials in time" is generated and displayed to the staff; otherwise, an information of "Materials can be extracted in time" is generated and displayed to the staff.

8. An in-line warehouse material extraction detection electronic device, comprising a bus, a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected through the bus, and is characterized in that, When the computer program is executed by the processor, it implements the steps in the method as described in any one of Claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps in the method as described in any one of Claims 1-6.

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