Line side bin material extraction and detection method and system

Abstract

The invention relates to the technical field of automatic warehousing, in particular to a line side warehouse material extraction and detection method and system, and the method comprises the steps: obtaining production demand information, and analyzing the production demand information to obtain material information which comprises the type of a to-be-extracted material, a material demand quantity, a material target point location and a material taking time window; based on the material information obtained through analysis, determining a line-edge bin storing the to-be-extracted material in a preset material management system, and marking the line-edge bin as a target line-edge bin; obtaining a wrong material elimination time length in the material extraction process of the target line side bin; according to the target point location of the material and the point location of the target line side bin, the single extraction duration of the to-be-extracted material is calculated; and calculating the total extraction time length of the to-be-extracted material based on the material demand quantity and the single extraction time length to obtain the material extraction time length. The accuracy, timeliness and reliability of material management can be improved, and the phenomenon that a production line stops working and waits due to material errors is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of automated warehousing, and in particular to a line-side warehouse material extraction and detection method and system. Background Art

[0002] In modern manufacturing, line-side warehouses are used to store raw materials, semi-finished products, parts and components that are needed 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 placed on the management of line-side warehouses, especially in the material extraction process, which requires ensuring the accuracy and timeliness of materials.

[0003] Manufacturing companies have a wide variety of production orders, each of which corresponds to different material requirements; these requirements include not only specific types of materials, but also different quantities of requirements, and the materials need to be accurately supplied to specific points on the production line. For example, in automobile manufacturing, the types and quantities of parts required by assembly lines of different models vary greatly, and the parts need to be supplied to the correct position of the assembly line in a timely manner. In the actual process of extracting materials from line warehouses, wrong materials often occur; wrong materials may be caused by manual operation errors, data errors in the material management system, or chaotic material placement. If the wrong materials are not discovered and handled in time, the production line will stop and wait, seriously affecting production efficiency.

[0004] Existing material extraction detection methods usually only consider the extraction process of the material to be extracted, without comprehensively evaluating the time for removing the wrong material and the time for material extraction. This makes it difficult for production management to accurately judge whether the material can be fully supplied to the production line within the specified material extraction time window, and it is impossible to take effective response measures in time to avoid production line delays. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a line-side warehouse material extraction and detection method and system which can improve the accuracy, timeliness and reliability of material management and reduce the production line shutdown and waiting phenomenon caused by material errors.

[0006] In a first aspect, the present invention provides a method for extracting and detecting materials from a line-side warehouse, the method comprising: Obtaining production demand information and parsing it to obtain material information, wherein the material information includes the type of material to be extracted, the required quantity of the material, the destination point of the material, and the time window for extracting the material; Based on the material information obtained through analysis, the lineside warehouse storing the material to be extracted is determined in the preset material management system and marked as the target lineside warehouse; Obtaining the time duration of rejecting wrong materials during the material extraction process at the target line side warehouse; According to the material destination point and the location of the target line side warehouse, the single extraction time of the material to be extracted is calculated; Based on the material requirement quantity and the single extraction time, the total extraction time of the material to be extracted is calculated to obtain the material extraction time; Based on the wrong material removal time, the material extraction time and the material extraction time window, determine whether the material extraction from the line side warehouse is feasible.

[0007] Furthermore, obtaining the wrong material rejection time in the process of extracting materials in the target line side warehouse includes: Acquire a real-time image of material storage in the target line side warehouse; Using a preset material recognition model to perform wrong material recognition on the real-time image of material storage, identify the material to be extracted and at least one wrong material in the target line side warehouse, and obtain the real-time material sequence of the target line side warehouse; the wrong material is a material that does not belong to the type of material to be extracted; Based on the material demand quantity, statistics are performed in the real-time material sequence to obtain the quantity of various wrong materials that need to be eliminated in the subsequent material extraction process; For each of the wrong materials, a traversal is performed in the preset wrong material rejection time comparison table to obtain the corresponding single rejection time; in the wrong material rejection time comparison table, each material corresponds to a single rejection time; Based on the quantity of various wrong materials and the single removal time, the total time for removing various wrong materials is calculated to obtain the wrong material removal time.

[0008] Furthermore, based on the material information obtained through analysis, a lineside warehouse storing the material to be extracted is determined in the preset material management system and marked as a target lineside warehouse, including: Access the preset material management system, which records the detailed information of all materials in the line warehouse, including material type, inventory quantity and storage location; By inputting the type of material to be extracted obtained through parsing as the query condition, all possible line-side warehouses containing the corresponding material can be located in the material management system; In the located line warehouse list, check the current inventory status of each possible line warehouse. If the current inventory status of a line warehouse is insufficient to cover the material demand quantity, other possible line warehouses need to be considered. Considering the distance between the material destination point and the location of the possible line-side warehouse and the transportation path, the possible line-side warehouse with the best transportation path is selected and marked as the target line-side warehouse.

[0009] Furthermore, the real-time material sequence represents a list of the arrangement order of materials in the current target line side warehouse, which checks each material one by one starting from the target line side warehouse outlet, fully identifies the types and positions of visible materials in the entire target line side warehouse, and forms a logical arrangement order.

[0010] Furthermore, the single extraction time represents the average time required to transport a unit quantity of the material to be extracted from the target line side warehouse to the material destination point.

[0011] Furthermore, the single extraction duration is determined by comprehensively considering the optimal transportation route, transportation equipment performance and handling operation time.

[0012] Further, based on the wrong material rejection time, the material extraction time and the material extraction time window, it is judged whether the material extraction of the line side warehouse is feasible, including: Determine whether the sum of the wrong material rejection time and the material extraction time is greater than the time length corresponding to the material extraction time window; if it is greater, generate an alarm message of "too many wrong materials and materials cannot be extracted in time" and display it to the staff; otherwise, generate a message of "materials can be extracted in time" and display it to the staff.

[0013] On the other hand, the present application also provides a line-side warehouse material extraction and detection system, the system comprising: The production demand information parsing module is used to obtain the demand information in the production order and parse it to obtain the type of material to be extracted, the required quantity of the material, the destination point of the production line where the material needs to be delivered, and the time window for picking up the material; The target line-side warehouse determination module is used to search for the line-side warehouse storing the material to be extracted in the preset material management system according to the material information obtained through analysis, and mark it as the target line-side warehouse for subsequent material extraction operations; The wrong material rejection duration acquisition module is used to obtain the duration of the rejection operation required due to wrong materials during the material extraction process at the target line side warehouse; The single extraction time calculation module is used to calculate the time required for a single extraction of the material based on the destination point of the production line to which the material needs to be delivered and the location of the target line side warehouse; The material extraction time calculation module is used to calculate the total extraction time of the material to be extracted, that is, the material extraction time, according to the material demand quantity and the single extraction time; The extraction time judgment module is used to add the time for removing wrong materials and the time for extracting materials, and compare them with the time length corresponding to the material extraction time window. If the sum of the two is greater than the material extraction time window, an alarm message of "too many wrong materials and materials cannot be extracted in time" is generated and displayed to the staff; otherwise, the message of "materials can be extracted in time" is generated and displayed to the staff.

[0014] In a third aspect, the present application provides an electronic device, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, and the computer program, when executed by the processor, implements the steps of any one of the above methods.

[0015] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps in any one of the above-mentioned methods when executed by a processor.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention realizes comprehensive monitoring and intelligent management of the material extraction process by integrating the steps of production demand analysis, wrong material identification and rejection time calculation, single and total extraction time evaluation, etc. The method first accurately analyzes the specific parameters of the material to be extracted from the production demand information, including type, quantity, destination point and material extraction time window, to ensure the pertinence of material supply. Then, the target line side warehouse is located in the preset material management system, and the material storage status is obtained in real time using advanced image recognition or sensor technology, effectively avoiding the problem of wrong material caused by manual operation errors and chaotic material placement. More importantly, the present invention not only considers the standard material extraction process, but also specifically adds the key factor of wrong material rejection time for comprehensive evaluation, so as to accurately judge whether the material can be fully 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 phenomenon of production line shutdown and waiting caused by material errors, greatly improve the overall production efficiency, and adapt to the high requirements of modern manufacturing industry for refined management and intelligent production. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a flow chart of the method for extracting and detecting materials from the side warehouse in the first embodiment; Figure 2 It is a structural diagram of the line side warehouse material extraction and detection system in Example 2. DETAILED DESCRIPTION

[0018] In the description of this application, those skilled in the art should know that this application can be implemented as a method, an apparatus, an electronic device, and a computer-readable storage medium. Therefore, this application can be specifically implemented in the following forms: complete hardware, complete software (including firmware, resident software, microcode, etc.), a combination of hardware and software. In addition, in some embodiments, this 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 medium contains computer program code.

[0019] The above-mentioned computer-readable storage medium may 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 devices, 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, optical disc read-only memories, optical storage devices, magnetic storage devices, or any combination of the above. In the present application, computer-readable storage media can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or device.

[0020] The acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws.

[0021] The present application describes the provided methods, devices, and electronic devices through flowcharts and / or block diagrams.

[0022] It should be understood that each box in the flowchart and / or block diagram and the combination of boxes in the flowchart and / or block diagram can be implemented by computer-readable program instructions. These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine, and these computer-readable program instructions are executed by a computer or other programmable data processing device to produce a device that implements the functions / operations specified by the boxes in the flowchart and / or block diagram.

[0023] These computer-readable program instructions may also be stored in a computer-readable storage medium that enables a computer or other programmable data processing device to work in a specific manner. In this way, the instructions stored in the computer-readable storage medium produce an instruction device product including functions / operations specified in the blocks in the flowchart and / or block diagram.

[0024] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device, so that a series of operational steps are performed 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 in the flowchart and / or block diagram.

[0025] The present application is described below in conjunction with the drawings in the present application.

[0026] Embodiment 1: Figure 1 As shown, a method for extracting and detecting materials from a line-side warehouse of the present invention specifically comprises the following steps: Step S1, obtain production demand information, and analyze it to obtain the type of material to be extracted, the required quantity of the material, the destination point of the material, and the time window for extracting the material.

[0027] Step S1 is to obtain the demand information in the production order from the production management system and analyze it in detail to determine the specific material extraction requirements. The specific implementation process is as follows: Step S11, it is necessary to connect 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 contained in the detailed data of the production order, including but not limited to the type of product produced, the type of raw materials or parts required, the required quantity of each material, and the specific points of the production line where these materials need to be delivered.

[0028] Step S12: parse the acquired 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 required quantity of the material, the destination point of the material, and the time window for picking up the material, among which: Type of materials to be extracted: refers to the type of raw materials or parts specified in the production order that need to be extracted from the line warehouse; Material requirement quantity: refers to the specific requirement quantity of each material in the production order, which determines the number and total amount of subsequent material extraction; Material destination point: refers to the specific location on the production line where the material needs to be delivered, which determines the transportation path and destination of the material after extraction; Material extraction time window: 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.

[0029] Step S13: After completing the above analysis, perform preliminary verification on the extracted information to check whether there are any data anomalies or inconsistencies, such as the material type is not in the existing inventory, the required quantity exceeds the inventory, etc.; if necessary, prompt relevant personnel to correct or supplement the information to ensure that all data is accurate; organize the parsed material extraction requirements into a structured data format to provide a data basis for subsequent steps.

[0030] Step S2: Based on the material information obtained through analysis, determine the lineside warehouse storing the material to be extracted in the preset material management system, and mark it as the target lineside warehouse; Step S2 is to determine the line side warehouse storing the material to be extracted by parsing the material to be extracted from the production demand information, and mark it as the target line side warehouse. The specific implementation process is as follows: Step S21, accessing a preset material management system (such as an ERP or WMS warehouse management system), which records detailed information of all materials in the line warehouse, including material type, inventory quantity, storage location, etc.; by inputting the type of material to be extracted obtained from the production demand information as a query condition, the system can quickly locate all possible line warehouses containing these materials in the database; Step S22: In the list of preliminarily screened line warehouses, further check the current inventory status of each candidate line warehouse; this step is to confirm that the target line warehouse not only stores the required materials, but also has sufficient inventory to meet the required quantity in the production order; if the inventory of a line warehouse is not enough to cover all the demand, it is necessary to consider other candidate line warehouses or start the emergency replenishment process; Step S23: Considering the distance between the material destination point and the location of the lineside warehouse and the transportation path, the optimal target lineside warehouse is selected; the 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 the handling equipment and the congestion of the channel to ensure that the material can reach the designated location on the production line as quickly as possible; Step S24: Once the best target line bin is determined, it is clearly marked to facilitate subsequent material extraction operations; the mark can be a physical identifier (such as an RFID tag) or a virtual marker in the information system to ensure that staff or automated equipment can quickly identify the correct material source.

[0031] Through the above steps, it is ensured that the selection of the target line side warehouse not only meets the production needs but also takes into account the logistics efficiency, providing a basis for the subsequent wrong material 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, thereby adapting to the high requirements of modern manufacturing industry for refined management and intelligent production.

[0032] Step S3, obtaining the wrong material rejection time during the material extraction process in the target line side warehouse; the specific implementation of step S3 is as follows: Step S31: obtain real-time images of materials stored in the warehouse through cameras or sensor devices installed in the target line warehouse; these images should cover all possible locations where the materials to be extracted are 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 materials, providing an accurate data basis for the next step of wrong material identification; Step S32: Use a pre-trained material recognition model to analyze the acquired real-time image; the model is based on a deep learning algorithm and is trained with a large amount of labeled data, and can identify different types of materials and their packaging forms; by comparing the materials in the image with the types of materials to be extracted obtained by analyzing the production demand information, it is possible to accurately distinguish which are correct materials and which are wrong materials that do not belong to the type of materials to be extracted; finally, a real-time material sequence containing correct materials and wrong materials is generated to provide a basis for subsequent processing; Step S33: according to the material demand quantity obtained by parsing the production order, the number of various wrong materials that need to be eliminated in the real-time material sequence is counted; this step not only counts the types of wrong materials, but also accurately calculates the specific quantity of each wrong material; the statistical results are used to evaluate the additional time resources required in the material extraction process, which directly affects the subsequent wrong material elimination operation; 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; 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.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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: Step S41, determine the optimal transportation path from the target line warehouse to the material destination point (i.e., the specific assembly location on the production line); this step not only takes into account the principle of the shortest physical distance, but also requires a comprehensive assessment of the working efficiency of the handling equipment, channel congestion, and any factors that may affect the transportation time; for example, in automobile manufacturing, the assembly line layout of different models is complex, and the selection of material transportation paths must take into account avoiding conflicts with other logistics activities; Step S42: Analyze the performance parameters of equipment used for material transportation, such as AGV (automatic guided vehicle), conveyor belt or forklift, etc. The speed, load capacity and operation flexibility of these equipment will directly affect the time of material transportation. According to the preset equipment performance database and the specific requirements of the current task, select the most suitable transportation tool and estimate the time required to complete a single transportation. Step S43: In addition to the transportation time, the operation time involved in the material handling process needs to be calculated, including but not limited to picking up materials, loading, unloading, etc. The time consumption of these operations depends on factors such as the size, shape, and weight of the materials, and is also affected by the proficiency of the workers. In order to improve the accuracy, historical data can be introduced for reference, or simulation software can be used to simulate the entire handling process, so as to obtain a more accurate estimate of the operation time; Step S44, combining all the above factors (transport route length, transportation equipment performance and handling operation time) to calculate the total time required for a single material extraction; the calculation result is not only the basis for calculating the total material extraction time in the subsequent steps, but also one of the key bases for evaluating whether the material supply meets the material extraction time window requirements; in this way, the material extraction plan can be predicted and adjusted 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.

[0037] Through the above steps, the accurate calculation of a single extraction time is achieved, which provides 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 industry for refined management and intelligent production.

[0038] Step S5, based on the material demand quantity and the single extraction time, calculating the total extraction time of the material to be extracted to obtain the material extraction time; Step S5 is intended to calculate the total extraction time of the material to be extracted based on the material demand quantity and the single extraction time, 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: The specific required quantity of the material to be extracted is obtained from the parsed production demand information; the single extraction time is obtained from step S4; the single extraction time represents the average time required to transport a unit of material from the target line warehouse to its destination; the single extraction time takes into account the influence of multiple factors such as the optimal transportation route, transportation equipment performance and handling operation time; the required quantity of the material to be extracted is multiplied by the corresponding single extraction time to obtain the total extraction time of the material; if there are multiple different types of materials, the total extraction time of each material is calculated separately, and then these times are added together to finally obtain the total time of the entire material extraction task.

[0039] Step S6, judging whether the sum of the wrong material rejection time and the material extraction time is greater than the time length corresponding to the material extraction time window; if so, generating an alarm message of "too many wrong materials, unable to extract materials in time" and displaying it to the staff; otherwise, generating a message of "materials can be extracted in time" and displaying it to the staff; The purpose of step S6 is to evaluate whether the total time of the material extraction process (including the time for wrong material removal and the time for material extraction) meets the specified material extraction time window. The specific implementation process is as follows: The wrong material rejection time is obtained from step S35, which represents the total time required to process all wrong materials; at the same time, the total material extraction time is obtained from step S5, which represents the time required to transport all materials to be extracted from the target line side warehouse to a specific point on the production line; Add the wrong material rejection time and material extraction time to get the total operation time of the entire material extraction process; compare the calculated total operation time with the material extraction time window specified in the production order; the material extraction time window refers to the time range in which materials must be extracted and supplied to the production line, which is usually set by the production plan to ensure the continuity and efficiency of production; If the total operation time is less than or equal to the material extraction time window, it means that the material can be extracted and supplied within the specified time and will not affect the normal operation of the production line. In this case, the system generates a message "materials can be extracted in time" and displays it to the staff to confirm that the material supply can proceed as planned. If the total operation time is longer than the material extraction time window, it means that under the existing conditions, material extraction and supply cannot be completed within the specified time, which may cause the production line to stop and wait; at this time, the system generates an alarm message of "too many wrong materials and unable to extract materials in time" and displays it to the staff; this not only reminds managers to pay attention to potential risks, but also prompts them to take emergency measures, such as adjusting production plans, adding manpower or optimizing logistics routes, to avoid production line delays.

[0040] Step S6 provides key decision support information to production managers through real-time calculation and judgment; helps managers to promptly identify potential material supply problems and take corresponding countermeasures to ensure the continuity and efficiency of production.

[0041] Embodiment 2: Figure 2 As shown, a line-side warehouse material extraction and detection system of the present invention specifically includes the following modules; The production demand information parsing module is used to obtain the demand information in the production order and parse it to obtain the type of material to be extracted, the required quantity of the material, the destination point of the production line where the material needs to be delivered, and the time window for picking up the material; The target line-side warehouse determination module is used to search for the line-side warehouse storing the material to be extracted in the preset material management system according to the material information obtained through analysis, and mark it as the target line-side warehouse for subsequent material extraction operations; The wrong material rejection duration acquisition module is used to obtain the duration of the rejection operation required due to wrong materials during the material extraction process at the target line side warehouse; The single extraction time calculation module is used to calculate the time required for a single extraction of the material based on the production line destination point where the material needs to be delivered and the location of the target line side warehouse; The material extraction time calculation module is used to calculate the total extraction time of the material to be extracted, that is, the material extraction time, according to the material demand quantity and the single extraction time; The extraction time judgment module is used to add the time for removing wrong materials and the time for extracting materials, and compare them with the time length corresponding to the material extraction time window. If the sum of the two is greater than the material extraction time window, an alarm message of "too many wrong materials and materials cannot be extracted in time" is generated and displayed to the staff; otherwise, the message of "materials can be extracted in time" is generated and displayed to the staff.

[0042] In this embodiment, the above-mentioned line-side warehouse material extraction and detection system integrates multiple functional modules to realize intelligent management and monitoring of the entire material extraction process, significantly improving the accuracy and timeliness of material management; the production demand information parsing module ensures the accurate extraction of material requirements from orders, including type, quantity, destination point and material extraction time window, providing a solid foundation for subsequent operations; the target line-side warehouse determination module can quickly locate the exact location of the required materials and improve material search efficiency; the wrong material rejection time acquisition module combines real-time image recognition technology to not only identify wrong materials, but also calculate the additional time required to reject these wrong materials; the single extraction time calculation module The module takes into account the material transportation path, making the time estimation more accurate; the material extraction time calculation module comprehensively considers the demand quantity and the single extraction time to accurately predict the total extraction time; the extraction time judgment module adds the wrong material removal time to the material extraction time and compares it with the material extraction time window to warn of possible delay risks in advance, so that the management can take timely measures to avoid production line interruptions; the design logic is rigorous, and the modules work together to form a closed-loop management system, which effectively solves the problem of traditional methods that only focus on the material extraction process and ignore the handling of wrong materials, greatly improves the continuity and efficiency of production, and adapts to the needs of modern manufacturing for refined and intelligent management.

[0043] The various variations and specific embodiments of the line-side warehouse material extraction and detection method in the aforementioned embodiment 1 are also applicable to the line-side warehouse material extraction and detection system of this embodiment. Through the aforementioned detailed description of the line-side warehouse material extraction and detection method, those skilled in the art can clearly know the implementation method of the line-side warehouse material extraction and detection system of this embodiment. Therefore, for the sake of brevity of the specification, it will not be described in detail here.

[0044] In addition, the present application also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor. The transceiver, the memory, and the processor are respectively connected via a bus. When the computer program is executed by the processor, each process of the above-mentioned method for controlling output data is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0045] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for extracting and detecting materials from a line-side warehouse, characterized in that: The method comprises: Obtaining production demand information and parsing it to obtain material information, wherein the material information includes the type of material to be extracted, the required quantity of the material, the destination point of the material, and the time window for extracting the material; Based on the material information obtained through analysis, the lineside warehouse storing the material to be extracted is determined in the preset material management system and marked as the target lineside warehouse; Obtaining the time duration of rejecting wrong materials during the material extraction process at the target line side warehouse; According to the material destination point and the location of the target line side warehouse, the single extraction time of the material to be extracted is calculated; Based on the material requirement quantity and the single extraction time, the total extraction time of the material to be extracted is calculated to obtain the material extraction time; Based on the wrong material removal time, the material extraction time and the material extraction time window, determine whether the material extraction from the line side warehouse is feasible.

2. The line-side warehouse material extraction and detection method according to claim 1, characterized in that: Obtain the wrong material rejection time during the material extraction process at the target line side warehouse, including: Acquire a real-time image of material storage in the target line side warehouse; Using a preset material recognition model to perform wrong material recognition on the real-time image of material storage, identify the material to be extracted and at least one wrong material in the target line side warehouse, and obtain the real-time material sequence of the target line side warehouse; the wrong material is a material that does not belong to the type of material to be extracted; Based on the material demand quantity, statistics are performed in the real-time material sequence to obtain the quantity of various wrong materials that need to be eliminated in the subsequent material extraction process; For each of the wrong materials, a traversal is performed in the preset wrong material rejection time comparison table to obtain the corresponding single rejection time; in the wrong material rejection time comparison table, each material corresponds to a single rejection time; Based on the quantity of various wrong materials and the single removal time, the total time for removing various wrong materials is calculated to obtain the wrong material removal time.

3. The method for extracting and detecting materials from a line-side warehouse as claimed in claim 2, characterized in that: Based on the material information obtained through analysis, the lineside warehouse storing the material to be extracted is determined in the preset material management system and marked as the target lineside warehouse, including: Access the preset material management system, which records the detailed information of all materials in the line warehouse, including material type, inventory quantity and storage location; By inputting the type of material to be extracted obtained through parsing as the query condition, all possible line-side warehouses containing the corresponding material can be located in the material management system; In the located line warehouse list, check the current inventory status of each possible line warehouse. If the current inventory status of a line warehouse is insufficient to cover the material demand quantity, other possible line warehouses need to be considered. Considering the distance between the material destination point and the location of the possible line-side warehouse and the transportation path, the possible line-side warehouse with the best transportation path is selected and marked as the target line-side warehouse.

4. The method for extracting and detecting materials from a line-side warehouse as claimed in claim 3, characterized in that: The real-time material sequence represents a list of the arrangement order of materials in the current target line side warehouse. Each material is checked one by one starting from the discharge port of the target line side warehouse, and the types and positions of visible materials in the entire target line side warehouse are fully identified to form a logical arrangement order.

5. The method for extracting and detecting materials from a line-side warehouse as claimed in claim 2, characterized in that: The single extraction time represents the average time required to transport a unit quantity of the material to be extracted from the target line side warehouse to the material destination point.

6. The method for extracting and detecting materials from a line-side warehouse as claimed in claim 5, characterized in that: The single extraction time is determined by comprehensively considering the optimal transportation route, transportation equipment performance and handling operation time.

7. The method for extracting and detecting materials from a line-side warehouse according to claim 1, characterized in that: Based on the wrong material rejection time, the material extraction time and the material extraction time window, it is judged whether the material extraction from the line side warehouse is feasible, including: Determine whether the sum of the wrong material rejection time and the material extraction time is greater than the time length corresponding to the material extraction time window; if greater, generate an alarm message of "too many wrong materials, unable to extract materials in time" and display it to the staff; otherwise, generate a message of "materials can be extracted in time" and display it to the staff.

8. A line-side warehouse material extraction and detection system, characterized in that: The system comprises: The production demand information parsing module is used to obtain the demand information in the production order and parse it to obtain the type of material to be extracted, the required quantity of the material, the destination point of the production line where the material needs to be delivered, and the time window for picking up the material; The target line-side warehouse determination module is used to search for the line-side warehouse storing the material to be extracted in the preset material management system according to the material information obtained through analysis, and mark it as the target line-side warehouse for subsequent material extraction operations; The wrong material rejection duration acquisition module is used to obtain the duration of the rejection operation required due to wrong materials during the material extraction process at the target line side warehouse; The single extraction time calculation module is used to calculate the time required for a single extraction of the material based on the production line destination point where the material needs to be delivered and the location of the target line side warehouse; The material extraction time calculation module is used to calculate the total extraction time of the material to be extracted, that is, the material extraction time, according to the material demand quantity and the single extraction time; The extraction time judgment module is used to add the time for removing wrong materials and the time for extracting materials, and compare them with the time length corresponding to the material extraction time window. If the sum of the two is greater than the material extraction time window, an alarm message of "too many wrong materials and materials cannot be extracted in time" is generated and displayed to the staff; otherwise, a message of "materials can be extracted in time" is generated and displayed to the staff.

9. An electronic device for detecting material extraction from a line warehouse, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, and characterized in that: When the computer program is executed by the processor, the steps in the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method according to any one of claims 1 to 7 are implemented.

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