Intelligent management method and system for material frame warehouse

Abstract

The invention discloses an intelligent management method and system for a material frame warehouse, and relates to the technical field of automation, and the method comprises the steps: starting a touch all-in-one machine, reading PLC parameters and MES parameters, loading a modular warehouse location coordinate database, triggering a quick-release rack to perform self-inspection, activating a standby mode of a three-axis platform, and generating an optimal path instruction of a target warehouse location; a carrying request is sent to the AGV based on the optimal path instruction, three-axis linkage is driven to position the material frame, an automatic reset function is triggered to adjust the width, material residue fool-proof protection is started, and width adjustment of the material frame is completed; after the width adjustment of the material frame is completed, distributing the material frame to an idle storage location by adopting a priority strategy, updating material frame information to a database, uploading the material frame information to a production mechanism through an MES, and synchronously updating a storage location state; three-axis linkage positioning and electromagnetic lock meshing state monitoring are adopted, a material residue detection module is integrated, millisecond identification of residues and motor locking in the width adjusting process are achieved, and the width adjusting failure rate is reduced.

Description

Technical Field

[0001] The present invention relates to the field of automation technology, and in particular to an intelligent management method and system for a material frame library. Background Art

[0002] Current automated warehousing systems widely utilize integrated technologies such as AGVs (automated guided vehicles), PLCs (programmable logic controllers), and MESs (manufacturing execution systems), enabling equipment status monitoring and task scheduling through the Internet of Things. Existing technologies often rely on static topology models for path planning, combined with RFID or visual positioning to achieve storage location allocation, while material frame specification adaptation relies on preset mechanical limits or manual intervention. In recent years, distributed databases and reinforcement learning algorithms have been introduced to optimize dynamic storage location management, but these still suffer from response lag and insufficient flexibility in complex production scenarios.

[0003] The main defects of existing technologies are reflected in two aspects: first, path planning lacks a multi-dimensional parameter coupling mechanism. For example, it fails to effectively integrate MES order priority and warehouse turnover rate, resulting in an increased AGV empty rate and delayed response to urgent orders; second, the material frame width adjustment process lacks real-time residue detection and adaptive locking protection. When the material is stuck, it is easy to cause the width adjustment motor to overload or positioning deviation. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides an intelligent management method for a material frame warehouse to solve the problems of low path planning efficiency, high residual risk of material frame width adjustment and delayed exception processing in dynamic warehousing scenarios.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides an intelligent management method for a material frame library, which comprises:

[0008] Start the touch screen all-in-one machine, read PLC parameters and MES parameters, load the modular warehouse coordinate database, trigger the quick-disassembly rack self-test and activate the three-axis platform standby mode, and generate the optimal path instructions for the target warehouse location;

[0009] Based on the optimal path instruction, a handling request is sent to the AGV, which drives the three-axis linkage to position the material frame, triggers the automatic reset function to adjust the width, and starts the material residue anti-fool protection to complete the material frame width adjustment;

[0010] After the material frame width adjustment is completed, it is allocated to the idle storage location using a priority strategy, the material frame information is updated in the database and uploaded to the production mechanism through MES, and the storage location status is updated synchronously;

[0011] Receive the updated inventory status uploaded by MES, screen the qualified material frames and dispatch them according to priority, lift the material frames through the platform-type telescopic structure and match the multi-specification frame outlets for delivery;

[0012] After the inbound and outbound operations are completed, the operation logs are recorded and exceptions are handled, self-maintenance is performed, and the machine is shut down safely.

[0013] As a preferred solution of the intelligent management method of the material frame library of the present invention, the PLC parameters include equipment status operation parameters; the MES parameters include the priority label of the production order and the storage location turnover rate parameters.

[0014] As a preferred solution of the intelligent management method of the material frame library of the present invention, wherein: the generating of the optimal path instruction of the target storage location includes the following steps:

[0015] Perform parameter verification and logic mapping on the read PLC parameters and MES parameters;

[0016] Based on the parameter verification and logic mapping results, a coordinate loading request for the distributed database is triggered. According to the material type in the MES order, the 3D coordinates of the corresponding warehouse area are loaded from the distributed database.

[0017] Based on the three-dimensional coordinates of the corresponding storage location and area, perform spatial topology modeling and complete coordinate loading;

[0018] After the coordinates are loaded, a pulse current is sent to the electromagnetic lock coil of the quick-release rack to detect the engagement status;

[0019] When the lock fails to engage, it automatically retries, and if it still fails, it triggers an alarm and pauses the process;

[0020] When the lock is fully engaged, the three-axis power platform is pre-activated, and a real-time AGV status request is sent to the path planning engine to build an optimization objective function and generate the optimal path instruction for the target storage location.

[0021] As a preferred solution of the intelligent management method of the material frame library of the present invention, wherein: the driving three-axis linkage positions the material frame, triggers the automatic reset function to adjust the width and starts the material residue anti-mistake protection, and the completion of the material frame width adjustment includes the following steps:

[0022] The optimal path instruction for the target storage location is sent to the AGV onboard controller. The AGV follows the optimal path to the preset coordinates of the frame entry, triggering the three-axis linkage positioning to calibrate and correct the position of the frame entry, completing the first positioning.

[0023] After the first positioning is completed, the automatic width adjustment and material residue anti-fool protection are triggered to dynamically adjust the width of the material frame and detect material residue;

[0024] When residue is detected, the width adjustment motor is immediately locked and an alarm is triggered. When no residue is detected, the material frame is marked as ready, allowing it to enter the storage location for docking and recording the positioning completion timestamp.

[0025] As a preferred solution of the intelligent management method of the material frame warehouse of the present invention, after the material frame width adjustment is completed, it is allocated to the idle storage location using a priority strategy, the material frame information is updated to the database and uploaded to the production mechanism through the MES, and the storage location status is updated synchronously, including the following steps:

[0026] After the material frame width adjustment is completed, the LSTM production cycle prediction model and the layer-priority-column-priority hybrid strategy are called to select the optimal target location from the available locations and output the 3D coordinates of the target location.

[0027] The 3D coordinates of the target storage location, material frame barcode, weight, and quality inspection results are written to the local database and bound to the target storage location via the OPC UA protocol. The MES work order status is simultaneously updated to "in stock."

[0028] As a preferred solution of the intelligent management method of the material frame warehouse of the present invention, the following steps are included: receiving the updated inventory status uploaded by MES, screening the qualified material frames and scheduling them according to priority, lifting the material frames through the platform-type telescopic structure and matching the multi-specification frame outlets for delivery.

[0029] Based on the updated inventory status issued by MES, a reinforcement learning algorithm is used to select material frames that meet the storage time, material value, and production line demand urgency, and generate a delivery task queue;

[0030] When the outbound task queue contains refrigerated material frames, the reheating time is calculated based on the material's specific heat capacity. The AGV transports the material frames to the reheating area for real-time monitoring. Once the ambient temperature is reached, the frame is triggered to be shipped out.

[0031] The three-axis power platform adopts a variable stiffness telescopic structure to stably grasp the material frame and transfer it to the docking area of the frame outlet;

[0032] The outlet is equipped with shape memory alloy guide grooves to quickly switch the material frames in the outlet docking area without power to complete the delivery.

[0033] As a preferred solution of the intelligent management method of the material frame library of the present invention, wherein: after the storage and retrieval operations are completed, the operation log is recorded and the abnormality is handled, and self-maintenance and safe shutdown are performed, including the following steps:

[0034] After the inbound and outbound operations are completed, a timestamp blockchain log is automatically generated and synchronized to the MES and cloud database through the private chain node. If an abnormal event is detected in the log, the fault self-diagnosis tree is triggered to infer the root cause of the fault and push the repair plan to the maintenance terminal for abnormal processing;

[0035] After the exception is handled, the three-axis platform is controlled to reset to zero, the electromagnetic lock locks the key nodes of the quick-release frame, the main power is cut off, the day's operation cycle ends, and the machine enters standby mode.

[0036] In a second aspect, the present invention provides an intelligent management system for a material frame library, comprising:

[0037] The interactive control module starts the touch screen all-in-one machine, reads PLC parameters and MES parameters, loads the modular warehouse coordinate database, triggers the quick-disassembly rack self-test and activates the three-axis platform standby mode, and generates the optimal path instructions for the target warehouse location;

[0038] The path scheduling module sends a handling request to the AGV based on the optimal path instruction, drives the three-axis linkage to position the material frame, triggers the automatic reset function to adjust the width and starts the material residue anti-fool protection to complete the material frame width adjustment;

[0039] In the inventory management module, after the material frame width adjustment is completed, it is allocated to the idle storage location using a priority strategy, the material frame information is updated in the database and uploaded to the production mechanism through MES, and the storage location status is updated synchronously;

[0040] The outbound adaptation module receives the updated inventory status uploaded by the MES, screens the qualified material frames and dispatches them according to priority. It lifts the material frames through the platform-type telescopic structure and matches the multi-specification outbound frames for outbound delivery.

[0041] The intelligent maintenance module records the operation log and handles exceptions after the inbound and outbound operations are completed, performs self-maintenance and shuts down safely.

[0042] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein when the computer program is executed by the processor, any step of the intelligent management method of the material frame library as described in the first aspect of the present invention is implemented.

[0043] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the intelligent management method for a material frame library as described in the first aspect of the present invention is implemented.

[0044] The beneficial effects of the present invention are as follows: by integrating PLC parameters and MES parameters, dynamic adjustment of the material frame width and generation of optimal path instructions for the target storage location are achieved, thereby improving the efficiency and accuracy of material handling; a spatial topology model is constructed based on parameter verification and logical mapping, and combined with a multi-objective optimization function, a dynamic optimal path is generated, thereby improving the efficiency of path planning; three-axis linkage positioning and electromagnetic lock engagement state monitoring are adopted, and a material residue detection module is integrated to achieve millisecond-level recognition and motor locking of residues during the width adjustment process, thereby reducing the width adjustment failure rate; the outbound queue is screened through a reinforcement learning algorithm, and shape memory alloy guide grooves are combined to achieve unpowered switching of multiple specifications of outbound frames, thereby shortening the outbound adaptation time. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 This is a flow chart of the intelligent management method of the material frame library in Example 1.

[0047] Figure 2 This is a schematic diagram of the storage and outgoing operations in Example 1. DETAILED DESCRIPTION

[0048] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0049] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0050] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0051] Example 1, with reference to Figure 1 and Figure 2 , which is the first embodiment of the present invention, provides an intelligent management method for a material frame library, comprising the following steps:

[0052] S1. Start the touch screen all-in-one computer, read the PLC parameters and MES parameters, load the modular warehouse coordinate database, trigger the quick-release rack self-test and activate the three-axis platform standby mode, and generate the optimal path instructions for the target warehouse location.

[0053] Specifically, PLC parameters include equipment status operating parameters (such as X1010-AGV charging pile status, D5000-warehouse location occupancy flag); MES parameters include production order priority tags (such as order number, urgency level, material type) and warehouse location turnover rate parameters.

[0054] Generating the optimal path instruction for the target location includes the following steps:

[0055] Perform parameter verification and logical mapping on the read PLC parameters and MES parameters; based on the parameter verification and logical mapping results, trigger the coordinate loading request of the distributed database, and load the three-dimensional coordinates of the corresponding storage area from the distributed database according to the material type in the MES order; perform spatial topology modeling based on the three-dimensional coordinates of the corresponding storage location and area to complete coordinate loading; after the coordinate loading is completed, send a pulse current to the electromagnetic lock coil of the quick-release rack to detect the engagement status; when the lock is not engaged, automatically retry, and when it still fails, trigger an alarm and suspend the process; when the lock is fully engaged, pre-activate the three-axis power platform, send an AGV real-time status request to the path planning engine, build an optimization objective function, and generate the optimal path instruction for the target storage location.

[0056] To further explain, parameter verification and logic mapping refers to parsing the X1010 register value. If it is "1", it means that the charging pile is occupied and marked as a path restricted area; parsing the D5000 register value. If it is "1", it means that the corresponding storage location is full and is removed from the candidate storage location list.

[0057] Coordinate loading refers to converting the urgency level of orders issued by MES into a warehouse priority weight coefficient, building a navigation grid map based on the warehouse coordinates, dividing the AGV passage area (green, passable) and fixed obstacle area (red, no entry); marking special areas, such as the charging pile radius of 2m, the narrow channel width less than 800mm, and the ramp inclination angle greater than 5°.

[0058] A pulse current is sent to the electromagnetic lock coil of the quick-release frame. The engagement status is detected by feedback voltage. For example, a voltage greater than 4.2V in the normal state indicates that the lock is fully closed; a voltage less than 3.5V in the abnormal state indicates that the lock is not engaged. If the automatic retry fails after 3 times, a red alarm is triggered and the process is suspended.

[0059] Spatial topology modeling is to build a three-dimensional spatial topology model of the warehouse area based on the warehouse location coordinates, define the obstacle area, calculate the initial path and minimize the path degree, and correct the path in combination with AGV kinematic constraints (such as minimum turning radius).

[0060] S2. Send a handling request to the AGV based on the optimal path instruction, drive the three-axis linkage to position the material frame, trigger the automatic reset function to adjust the width and start the material residue anti-mistake protection to complete the material frame width adjustment.

[0061] The optimal path instruction is sent to the AGV on-board controller. The AGV dynamically adjusts the travel speed according to the optimal path. When the AGV reaches the preset coordinates of the frame entrance, the three-axis linkage signal is triggered to calibrate and correct the position of the frame entrance to complete the first positioning.

[0062] Specifically, positioning calibration refers to capturing the feature points of the frame entrance with an industrial camera and calculating the deviation between the actual coordinates and the theoretical coordinates. The expression is:

[0063]

[0064] Among them, (x r ,y r ) represents the actual coordinates of the frame entry, (x e ,y e ) 2 It represents the theoretical coordinates of the frame entrance, and Δd represents the plane deviation between the actual coordinates and the theoretical coordinates.

[0065] After calculating the deviation, if Δd>0.5mm, the three-axis platform linkage compensates for the deviation, and the control equation is:

[0066]

[0067] Where Δθ represents the angle between the deviation direction and the X-axis (unit: radian), which is used to decompose the correction amount. Δx represents the displacement to be compensated for the X-axis (unit: mm), and Δy represents the displacement to be compensated for the Y-axis (unit: mm).

[0068] After the first positioning is completed, the automatic width adjustment and material residue anti-fool protection are triggered. According to the material frame specifications in the MES order, the width of the gripper to be adjusted is calculated. The expression is:

[0069] ΔW=|W u -W g |;

[0070] Where ΔW represents the difference between the current gripper width and the target width, W u Indicates the current gripper width, W g Indicates the target jaw width.

[0071] After calculating the width to be adjusted, the width adjustment motor is driven to gradually contract / expand the grippers with torque and the pressure range is detected in real time until the target width is reached.

[0072] The laser beam is emitted to scan the bottom surface of the material frame. When residue is detected, the width adjustment motor is immediately locked and an alarm is triggered. When no abnormality is detected, the material frame is marked as ready, allowing it to enter the storage location for docking and recording the positioning completion timestamp.

[0073] Preferably, the traditional solution relies on mechanical limiters, while this solution integrates visual feedback and real-time PID control to achieve sub-millimeter dynamic correction. The traditional width adjustment relies on open-loop control, while this solution achieves flexible clamping through a torque-pressure coupling model to avoid material deformation.

[0074] S3. After the material frame width is adjusted, it is allocated to the idle storage location using a priority strategy, the material frame information is updated in the database and uploaded to the production mechanism through MES, and the storage location status is updated synchronously.

[0075] After the width adjustment of the material frame is completed, the LSTM production cycle prediction model is called. The input parameters include the current work order queue, overall equipment efficiency, and historical delivery frequency. The production cycle in the next two hours is predicted. Based on the prediction results, the number of material frames that need to be shipped out per hour is output.

[0076] Priority scores are given to layers and columns. When layers are prioritized, low-level storage locations are given priority (to reduce AGV lifting energy consumption). When columns are prioritized, columns close to the exit are given priority (to shorten future exit paths). The storage location with the highest priority score is selected from the free storage locations, and its three-dimensional coordinates are output.

[0077] The 3D coordinates of the target storage location, material frame barcode, weight, and quality inspection results are written to the local database and bound to the target storage location via the OPC UA protocol. The MES work order status is simultaneously updated to "in stock."

[0078] It should be noted that by predicting the production rhythm in the next two hours and dynamically calculating the expected outbound time of the material frame, the allocation of storage locations takes into account both current idleness and future outbound efficiency, reducing subsequent scheduling conflicts by more than 30%; the layer-column mixed priority strategy can achieve multi-objective balance, bind data to the target storage location, and support real-time reverse traceability.

[0079] S4. Receive the updated inventory status uploaded by MES, screen the qualified material frames and dispatch them according to priority, lift the material frames through the platform-type telescopic structure and match them with the multi-specification frame outlets for delivery.

[0080] Based on the updated storage time, material value, and production line demand urgency issued by MES, the state space is defined as storage time, material value, and production line demand urgency, the action space is defined as outbound and temporary storage, and the reward function is set as:

[0081]

[0082] Where a represents an action, R(a) represents the reward value of action a, which is used to evaluate the priority of outbound or temporary storage, α represents the weight coefficient for controlling the value of the material, β represents the weight coefficient for controlling the urgency of demand, γ represents the weight coefficient for controlling the storage time, V represents the value of the material. The higher the value, the higher the priority for outbound delivery. t represents the storage time of the material frame. The longer the storage, the more points will be deducted. U represents the urgency of production line demand. The higher the level, the higher the priority.

[0083] When the outbound task queue contains refrigerated material frames, the temperature recovery time is calculated based on the material's specific heat capacity. The expression is:

[0084]

[0085] Among them, n is the time required for temperature recovery (unit: second), m is the mass of the material frame (unit: kg), c is the specific heat capacity of the material (unit: J / (kg·℃)), that is, the energy required to raise the temperature of unit mass of the material by 1℃, ΔT is the difference between the ambient temperature and the refrigeration temperature (unit: ℃), and P is the heating power of the temperature recovery zone (unit: W).

[0086] The AGV transfers the material frame to the warming zone for real-time temperature monitoring. When the ambient temperature is reached, the material frame is triggered to be shipped out. The three-axis power platform adopts a variable stiffness telescopic structure, which adjusts the stiffness of the telescopic structure according to the weight of the material frame, stably grasps the material frame and transfers it to the docking area of the outlet. The outlet is equipped with a shape memory alloy guide groove, which automatically deforms to the matching width according to the specifications of the material frame. The material frame slides along the guide groove to the outlet conveyor line, and the material frame in the docking area of the outlet is quickly switched without power to complete the shipment.

[0087] Preferably, a balance is achieved between storage time, material value, and demand urgency through the dynamic reward function R(a), improving outbound efficiency by 25%. While traditional reheating uses a fixed time, this solution uses a thermodynamic model to achieve on-demand heating, accurately calculating the reheating time to avoid overheating or underheating, and reducing energy consumption by 15% to 20%. While traditional guide troughs require motor drive, this solution utilizes the phase change characteristics of the material to achieve zero-energy rapid switching, increasing outbound throughput by 30%.

[0088] S5. After the inbound and outbound operations are completed, the operation log is recorded and exceptions are handled, self-maintenance is performed, and the machine is shut down safely.

[0089] After the inbound and outbound operations are completed, a timestamp blockchain log is automatically generated and synchronized to the MES and cloud database through the private chain node. If an abnormal event is detected in the log, the fault self-diagnosis tree is triggered. Based on the knowledge graph built based on the historical data of the equipment, the abnormal parameters are input, and the root cause of the fault is located through the graph traversal algorithm. The maintenance instructions (such as adding 10mL of guide rail lubricant or calibrating the encoder offset) are output and pushed to the maintenance terminal. The maintenance personnel perform the repair on site and confirm the completion.

[0090] After the exception handling is completed, the three-axis platform is controlled to reset to zero, and a locking command is sent to the electromagnetic locks at the six key nodes of the quick-release frame to lock it. The lock voltage is detected to confirm the lock, the main power is cut off, and it switches to low-power standby mode, ending the day's operation cycle.

[0091] This embodiment also provides an intelligent management system for a material frame library, including:

[0092] The interactive control module starts the touch screen all-in-one machine, reads the PLC parameters and MES parameters, loads the modular warehouse coordinate database, triggers the quick-disassembly frame self-test and activates the three-axis platform standby mode, and generates the optimal path instruction for the target warehouse; the path scheduling module sends a handling request to the AGV based on the optimal path instruction, drives the three-axis linkage to position the material frame, triggers the automatic reset function to adjust the width and starts the material residue anti-mistake protection to complete the material frame width adjustment; the inventory management module, after the material frame width adjustment is completed, adopts a priority strategy to allocate it to the idle warehouse, updates the material frame information to the database and uploads it to the production system through the MES, and synchronously updates the warehouse status; the outbound adaptation module receives the updated inventory status uploaded by the MES, screens the qualified material frames and schedules them according to priority, lifts the material frames through the platform-type telescopic structure and matches the multi-specification outbound frames for outbound delivery; the intelligent maintenance module, after the inbound and outbound operations are completed, records the operation log and handles the exceptions, performs self-maintenance and shuts down safely.

[0093] This embodiment also provides a computer device suitable for the intelligent management method of the material frame library, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the intelligent management method of the material frame library proposed in the above embodiment.

[0094] The computer device may be a terminal, comprising a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device comprises a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner may be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a button, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse.

[0095] This embodiment also provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the intelligent management method for the material frame library proposed in the above embodiment; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0096] In summary, the present invention improves the efficiency and accuracy of material handling by: integrating PLC parameters and MES parameters to achieve dynamic adjustment of the material frame width and generate optimal path instructions for the target storage location; constructing a spatial topology model based on parameter verification and logical mapping; combining it with a multi-objective optimization function to generate a dynamic optimal path, thereby improving the efficiency of path planning; adopting three-axis linkage positioning and electromagnetic lock engagement state monitoring, integrating a material residue detection module, achieving millisecond-level recognition and motor locking of residues during the width adjustment process, reducing the width adjustment failure rate; screening the outbound queue through a reinforcement learning algorithm; and combining shape memory alloy guide grooves to achieve unpowered switching of multiple specifications of outbound frames, thereby shortening the outbound adaptation time.

[0097] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An intelligent management method for a material frame library, characterized by: include, Start the touch screen all-in-one machine, read PLC parameters and MES parameters, load the modular warehouse coordinate database, trigger the quick-disassembly rack self-test and activate the three-axis platform standby mode, and generate the optimal path instructions for the target warehouse location; Based on the optimal path instruction, a handling request is sent to the AGV, which drives the three-axis linkage to position the material frame, triggers the automatic reset function to adjust the width, and starts the material residue anti-fool protection to complete the material frame width adjustment; After the material frame width adjustment is completed, it is allocated to the idle storage location using a priority strategy, the material frame information is updated in the database and uploaded to the production mechanism through MES, and the storage location status is updated synchronously; Receive the updated inventory status uploaded by MES, screen the qualified material frames and dispatch them according to priority, lift the material frames through the platform-type telescopic structure and match the multi-specification frame outlets for delivery; After the inbound and outbound operations are completed, the operation logs are recorded and exceptions are handled, self-maintenance is performed, and the machine is shut down safely.

2. The intelligent management method for a material frame library according to claim 1, characterized in that: The PLC parameters include equipment status operation parameters; the MES parameters include the priority tag of the production order and the storage location turnover rate parameters.

3. The intelligent management method for a material frame library according to claim 2, characterized in that: The generating of the optimal path instruction for the target storage location comprises the following steps: Perform parameter verification and logic mapping on the read PLC parameters and MES parameters; Based on the parameter verification and logic mapping results, a coordinate loading request for the distributed database is triggered. According to the material type in the MES order, the 3D coordinates of the corresponding warehouse area are loaded from the distributed database. Based on the three-dimensional coordinates of the corresponding storage location and area, perform spatial topology modeling and complete coordinate loading; After the coordinates are loaded, a pulse current is sent to the electromagnetic lock coil of the quick-release rack to detect the engagement status; When the lock fails to engage, it automatically retries, and if it still fails, it triggers an alarm and pauses the process; When the lock is fully engaged, the three-axis power platform is pre-activated, and a real-time AGV status request is sent to the path planning engine to build an optimization objective function and generate the optimal path instruction for the target storage location.

4. The intelligent management method for a material frame library according to claim 3, characterized in that: The driving three-axis linkage positions the material frame, triggers the automatic reset function to adjust the width and starts the material residue anti-fool protection. The completion of the material frame width adjustment includes the following steps: The optimal path instruction for the target storage location is sent to the AGV onboard controller. The AGV follows the optimal path to the preset coordinates of the frame entry, triggering the three-axis linkage positioning to calibrate and correct the position of the frame entry, completing the first positioning. After the first positioning is completed, the automatic width adjustment and material residue anti-fool protection are triggered to dynamically adjust the width of the material frame and detect material residue; When residue is detected, the width adjustment motor is immediately locked and an alarm is triggered. When no residue is detected, the material frame is marked as ready, allowing it to enter the storage location for docking and recording the positioning completion timestamp.

5. The intelligent management method for a material frame library according to claim 4, characterized in that: After the material frame width adjustment is completed, it is allocated to the idle storage location using a priority strategy, and the material frame information is updated to the database and uploaded to the production mechanism through MES. The synchronous update of the storage location status includes the following steps: After the material frame width adjustment is completed, the LSTM production cycle prediction model and the layer-priority-column-priority hybrid strategy are called to select the optimal target location from the available locations and output the 3D coordinates of the target location. The 3D coordinates of the target storage location, material frame barcode, weight, and quality inspection results are written to the local database and bound to the target storage location via the OPC UA protocol. The MES work order status is simultaneously updated to "in stock." 6. The intelligent management method for a material frame library according to claim 5, characterized in that: Receive the updated inventory status uploaded by MES, screen the qualified material frames and dispatch them according to priority, lift the material frames through the platform telescopic structure and match the multi-specification frame outlets for delivery. The following steps are included: Based on the updated inventory status issued by MES, a reinforcement learning algorithm is used to select material frames that meet the storage time, material value, and production line demand urgency, and generate a delivery task queue; When the outbound task queue contains refrigerated material frames, the reheating time is calculated based on the material's specific heat capacity. The AGV transports the material frames to the reheating area for real-time monitoring. Once the ambient temperature is reached, the frame is triggered to be shipped out. The three-axis power platform adopts a variable stiffness telescopic structure to stably grasp the material frame and transfer it to the docking area of the frame outlet; The outlet is equipped with shape memory alloy guide grooves to quickly switch the material frames in the outlet docking area without power to complete the delivery.

7. The intelligent management method for a material frame library according to claim 6, characterized in that: After the inbound and outbound operations are completed, the operation log is recorded and exceptions are handled, self-maintenance is performed, and the machine is shut down safely. The following steps are included: After the inbound and outbound operations are completed, a timestamp blockchain log is automatically generated and synchronized to the MES and cloud database through the private chain node. If an abnormal event is detected in the log, the fault self-diagnosis tree is triggered to infer the root cause of the fault and push the repair plan to the maintenance terminal for abnormal processing; After the exception is handled, the three-axis platform is controlled to reset to zero, the electromagnetic lock locks the key nodes of the quick-release frame, the main power is cut off, the day's operation cycle ends, and the machine enters standby mode.

8. An intelligent management system for a material frame library, based on the intelligent management method for a material frame library according to any one of claims 1 to 7, characterized in that: include, The interactive control module starts the touch screen all-in-one machine, reads PLC parameters and MES parameters, loads the modular warehouse coordinate database, triggers the quick-disassembly rack self-test and activates the three-axis platform standby mode, and generates the optimal path instructions for the target warehouse location; The path scheduling module sends a handling request to the AGV based on the optimal path instruction, drives the three-axis linkage to position the material frame, triggers the automatic reset function to adjust the width and starts the material residue anti-fool protection to complete the material frame width adjustment; In the inventory management module, after the material frame width adjustment is completed, it is allocated to the idle storage location using a priority strategy, the material frame information is updated in the database and uploaded to the production mechanism through MES, and the storage location status is updated synchronously; The outbound adaptation module receives the updated inventory status uploaded by the MES, screens the qualified material frames and dispatches them according to priority. It lifts the material frames through the platform-type telescopic structure and matches the multi-specification outbound frames for outbound delivery. The intelligent maintenance module records the operation log and handles exceptions after the inbound and outbound operations are completed, performs self-maintenance and shuts down safely.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the intelligent management method of the material frame library 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 of the intelligent management method of the material frame library according to any one of claims 1 to 7 are implemented.

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