Intelligent warehousing and dispatching system and method for prepreg

Abstract

The invention belongs to the field of aviation composite material production, and particularly relates to an intelligent warehousing and dispatching system and method for prepregs. Comprising a prepreg state monitoring system, a temperature and humidity environment control system, a dynamic scheduling algorithm and system and an automatic equipment auxiliary system. The method has the beneficial effects that the prepreg storage can be optimized, the inventory information can be accurately grasped, and the scheduling and use of the prepreg can be timely and efficiently completed.

Description

Technical Field

[0001] This invention belongs to the field of aerospace composite material production, specifically relating to an intelligent storage and scheduling system and method for prepreg materials. Background Technology

[0002] In recent years, the use of composite materials in global aerospace products has increased significantly. To cope with the explosive growth in demand for composite products, improving manufacturing efficiency and reducing production costs are crucial. Prepreg, as a core raw material in composite product manufacturing, is a key link in cost control. Prepreg generally needs to be stored at low temperatures in cold storage to delay material aging and performance degradation. Furthermore, prepreg has a limited shelf life; exceeding the storage time or expiration period will result in material scrap, increasing production costs. Therefore, ensuring the performance of prepreg and reducing waste or expiration are essential for guaranteeing composite product quality and reducing manufacturing costs. Currently, prepreg management in composite material factories largely relies on manual methods, lacking real-time dynamic monitoring and management, and often failing to guarantee the first-in, first-out (FIFO) principle. On the other hand, the prepreg warehousing system lacks effective integration with the production scheduling system, resulting in unreal-time and inaccurate data. Simultaneously, the lack of intelligent algorithms for prioritizing and dynamically scheduling prepreg impacts production efficiency. Summary of the Invention

[0003] To address the aforementioned problems, the present invention aims to propose an intelligent prepreg storage and scheduling system and method capable of storing, monitoring, and managing prepregs, with high monitoring sensitivity and good scheduling accuracy. It includes a prepreg status monitoring system, a temperature and humidity environmental control system, a dynamic scheduling algorithm and system, and an automated equipment auxiliary system.

[0004] According to one aspect of this application, an intelligent storage and scheduling system for prepreg is provided, including a prepreg status monitoring system, a temperature and humidity environmental control system, a dynamic scheduling algorithm and system, and an automated equipment auxiliary system.

[0005] The prepreg status monitoring system monitors the batch, specifications, storage location, and storage time of the prepreg upon entry into the warehouse;

[0006] The temperature and humidity environment control system monitors the ambient temperature and humidity through temperature sensors and humidity sensors, and adjusts the ambient temperature and humidity through temperature controllers and humidity controllers.

[0007] The dynamic scheduling algorithm and system determine the scheduling priority of prepreg in the warehouse based on the remaining lifetime dynamic weighted algorithm and the first-in-first-out principle algorithm.

[0008] The automated equipment auxiliary system realizes three-dimensional storage and automated handling of prepreg materials through automated handling equipment such as three-dimensional warehouses, AGVs, and stacker cranes.

[0009] The automated warehouse uses automated racks equipped with RFID and QR code tags to indicate the storage location information of prepregs. The height of the automated racks is set according to actual needs.

[0010] The automated warehouse is equipped with a central control computer, which is used to receive and process data from various devices, realize data communication between systems, and control the operation of each device.

[0011] The prepreg status monitoring system monitors the prepreg inventory and automatically generates a purchase request when the inventory is low.

[0012] The temperature and humidity environment control system operates through the following steps:

[0013] Temperature and humidity sensors deployed in the warehouse are used to monitor the ambient temperature and humidity in the storage area and transmit the temperature and humidity information to the central control host computer.

[0014] The temperature and humidity environment control system sets target values ​​for the ambient temperature and humidity of the prepreg warehouse and monitors them in real time. When the temperature and humidity exceed the set range, it displays an abnormality and notifies relevant personnel, and starts the temperature controller and / or humidity controller to control the ambient temperature and humidity.

[0015] The environment is heated when the ambient temperature is lower than the set temperature, cooled when the measured ambient temperature is higher than the set temperature, humidified when the measured ambient humidity is lower than the set humidity, and dried when the measured ambient temperature is higher than the set temperature.

[0016] Specifically, when the temperature is lower than the set value, the system automatically starts the heating equipment to heat the automated warehouse; when the temperature is higher than the set value, the system starts the refrigeration unit to cool the automated warehouse; when the humidity is lower than the set value, the system starts the humidifier; and when the humidity is higher than the set value, the system starts the fresh air system to dry the warehouse.

[0017] The dynamic scheduling algorithm and system operate through the following steps:

[0018] The remaining life of the prepreg is calculated based on parameters such as the prepreg's arrival time in the warehouse and the temperature and humidity of the storage environment. The weighted calculation method for the remaining life is obtained by referring to the following formula:

[0019] L(t n )=L(t n-1 )-S T (T)-S W (W)-τ (1)

[0020] Where L(t) n ) is the prepreg at t n The remaining lifetime at time point S is the lifetime loss of the prepreg under ideal storage conditions between two adjacent time points, τ is the remaining lifetime of the prepreg. T (T) represents the additional lifetime loss introduced under real-time temperature T, S W (W) is the additional life loss introduced under the real-time humidity W condition. The life of the prepreg at the initial time t0 is given by the state when it is put into storage.

[0021] The deviation between real-time temperature and ideal storage temperature will introduce additional lifespan loss, due to S T (T) describes the algorithm, which can be calculated using the following formula:

[0022] S T (T)=α|TT I (2) T is the real-time humidity, T I This represents the ideal storage humidity, and α is a weighting factor.

[0023] The deviation between real-time humidity and ideal storage humidity will introduce additional lifespan loss, due to S W (W) describes the algorithm, which can be calculated using the following formula:

[0024] S W (W)=β|WW I | (3) W is the real-time humidity, W I This represents the ideal storage humidity, and β is a weighting factor.

[0025] The lower the remaining life of the prepreg, the higher the priority given to the scheduling and use of the prepreg.

[0026] When the remaining life of prepregs is the same, the prepregs that were put into storage earlier should be prioritized according to the first-in, first-out principle.

[0027] According to another aspect of this application, a method for intelligent storage and scheduling of prepreg is provided, employing the aforementioned intelligent storage and scheduling system for prepreg;

[0028] Includes the following steps:

[0029] (1) Warehousing: Based on the warehousing task order, the prepreg is inspected and put into storage. RFID and QR code tags are made for the prepreg and a database is established.

[0030] (2) Organize and number the prepreg materials entering the warehouse, record their type, batch, specifications, and entry time in the database, and arrange the storage location;

[0031] (3) Monitor and calculate the storage time of prepreg in the warehouse in real time, and calculate the remaining service life;

[0032] (4) Outbound: Perform outbound operations according to task requirements and record the outbound time in the database.

[0033] Upon receipt, the supplier delivers the prepreg to the automated warehouse, where warehouse management personnel scan and import relevant information such as the type, batch, specifications, and packaging dimensions of the prepreg into the system database, record the receipt time, and create RFID and QR code tags for the prepreg, which are then placed on the outer packaging of the prepreg.

[0034] The prepreg status monitoring system allocates storage locations for newly arrived prepregs in the automated warehouse based on information such as the type and packaging size of the prepregs and the current storage status, and generates an inbound task.

[0035] The central control host computer sends the warehousing task instructions to the AGV automated guided vehicle and the stacker crane;

[0036] The AGV (Automated Guided Vehicle) delivers the prepreg to the designated automated warehouse according to instructions and a preset track. The stacker crane then moves the prepreg into the designated storage location within the automated warehouse according to instructions.

[0037] After the warehousing task is completed, the prepreg status monitoring system automatically updates the prepreg storage information and the storage status of the automated warehouse;

[0038] When the material is released from the warehouse, the production department submits a release application to the prepreg status monitoring system according to the production plan.

[0039] The prepreg status monitoring system automatically allocates outbound prepreg according to the first-in-first-out principle and the priority of prepreg usage, and generates outbound tasks.

[0040] The central control host computer sends outbound instructions to the stacker crane and AGV automated guided vehicle;

[0041] The stacker crane retrieves the prepreg stored in the automated warehouse from its storage location and moves it to the ground according to the system's outbound instructions;

[0042] The AGV (Automated Guided Vehicle) transports the prepreg material to the outbound position of the automated warehouse according to instructions and a preset track;

[0043] The warehouse management personnel scan the RFID or QR code of the prepreg to record the outbound information;

[0044] After the outbound task is completed, the prepreg status monitoring system records and updates the inventory information.

[0045] The stacker crane is equipped with a barcode scanner that can identify RFID and QR code labels on the shelves and prepreg packaging. If the label information is inconsistent with the task-specified information, an error signal will be issued and fed back to the central control host computer.

[0046] The beneficial effects of this invention are: through intelligent environmental control, real-time monitoring, dynamic scheduling algorithms and system integration, efficient storage and production scheduling of prepreg are achieved, thereby improving the utilization rate of prepreg and reducing waste. Attached Figure Description

[0047] Figure 1 This is the system architecture diagram of the present invention.

[0048] Figure 2 This is the information flow diagram of the present invention. Detailed Implementation

[0049] The present application is described in detail below with reference to the embodiments, but the present application is not limited to these embodiments.

[0050] Example 1

[0051] This embodiment provides an intelligent storage and scheduling method for prepreg materials, applied to an automated warehouse for raw materials in composite materials industrial production. The specific steps are as follows:

[0052] 1. Layout and equipment of automated warehouse

[0053] The automated warehouse uses a racking system for storage. The racking height is set according to actual needs, with a typical racking unit height of 650mm. The racks are equipped with RFID and QR code tags to indicate the storage location information of the prepreg.

[0054] The automated warehouse is equipped with AGVs (Automated Guided Vehicles), stacker cranes, and other automated handling equipment for the automatic storage and retrieval of prepreg materials.

[0055] The automated warehouse is equipped with temperature and humidity sensors to monitor environmental parameters in real time.

[0056] The automated warehouse is equipped with a central control computer system to receive and process data from various devices, enable data communication between systems, and control the operation of each device.

[0057] 2. Prepreg storage

[0058] The supplier delivers the prepreg to the automated warehouse, where warehouse management personnel scan and import relevant information such as the type, batch, and specifications of the prepreg into the system database, record the warehousing time, and create RFID and QR code tags for the prepreg, which are then placed on the outer packaging of the prepreg.

[0059] The system allocates storage locations for newly arrived prepregs in the automated warehouse based on information such as the type of prepreg, packaging size, and current storage conditions, and generates an inbound task.

[0060] The host computer sends the warehousing task instructions to the AGV (Automated Guided Vehicle) and the stacker crane. The AGV, following the system's task instructions, delivers the prepreg to the designated automated warehouse along a preset track. The stacker crane, according to the task, moves the prepreg into the designated storage location within the automated warehouse. The stacker crane is equipped with a barcode scanner that can identify RFID and QR code tags on the shelves and prepreg packaging. If the tag information does not match the task specifications, an error signal is issued and feedback is sent to the host computer system. After the warehousing task is completed, the system automatically updates the prepreg storage information and the storage status of the automated warehouse.

[0061] 3. Prepreg inventory management and environmental monitoring

[0062] The system monitors the prepreg inventory in real time and automatically generates a purchase request when the inventory is low.

[0063] The system allows setting target values ​​for the ambient temperature and humidity of the prepreg warehouse and performs real-time monitoring. When the temperature or humidity exceeds the set range, an anomaly is displayed, relevant personnel are notified, and corresponding adjustment equipment is activated to control the ambient temperature and humidity. When the temperature is lower than the set value, the system automatically activates the heating system to heat the warehouse; when the temperature is higher than the set value, the system activates the cooling system to cool the warehouse; when the humidity is lower than the set value, the system activates the humidifier; when the humidity is higher than the set value, the system activates the fresh air system for drying.

[0064] The system calculates the life loss of prepreg based on real-time temperature and humidity, and calculates and records the remaining life of each batch of prepreg.

[0065] The remaining lifetime weighted algorithm is calculated using the following formula:

[0066] L(t n )=L(t n-1 )-S T (T)-S W (W)-τ,

[0067] Where L(t) n ) is the prepreg at t n The remaining lifetime at time point S is the lifetime loss of the prepreg under ideal storage conditions between two adjacent time points, τ is the remaining lifetime of the prepreg. T (T) represents the additional lifetime loss introduced under real-time temperature T, S W (W) is the additional life loss introduced under the real-time humidity W condition. The life of the prepreg at the initial time t0 is given by the state at the time of entry into the warehouse.

[0068] The deviation between real-time temperature and ideal storage temperature will introduce additional lifespan loss, due to S T (T) describes the algorithm, which can be calculated using the following formula:

[0069] S T (T)=α|TT I |,

[0070] T is the real-time humidity. I α represents the ideal storage humidity, and α is the weighting factor.

[0071] The deviation between real-time humidity and ideal storage humidity will introduce additional lifespan loss, due to S W (W) describes the algorithm, which can be calculated using the following formula:

[0072] S W (W)=β|WW I |,

[0073] W represents the real-time humidity. I β is the ideal storage humidity, and β is the weighting factor.

[0074] The lower the remaining life of the prepreg, the higher the priority given to the scheduling and use of the prepreg.

[0075] When the remaining life of prepregs is the same, the prepregs that were put into storage earlier should be prioritized according to the first-in, first-out principle.

[0076] 4. Prepreg release from warehouse

[0077] The production department submits an outbound request to the system based on the production plan.

[0078] The system automatically allocates prepreg materials for outbound shipment based on the first-in, first-out principle and the priority of their use, and generates outbound tasks.

[0079] The host computer sends outbound task instructions to the stacker crane and AGV (Automated Guided Vehicle). The stacker crane, based on the system's outbound instructions, retrieves the prepreg stored in the automated warehouse from its storage location and moves it to the ground. The stacker crane is equipped with a barcode scanner that can identify RFID and QR code tags on the shelves and prepreg packaging. If the tag information does not match the database, an error signal is issued and fed back to the host computer system. The AGV then transports the prepreg to the outbound location in the automated warehouse according to the preset track, based on the task requirements.

[0080] The automated warehouse manager scans the RFID or QR code on the prepreg to record the outbound information. After the outbound task is completed, the system records and updates the inventory information.

[0081] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions made by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. An intelligent warehouse and scheduling system for prepreg, characterized in that, it comprises a prepreg state monitoring system, a temperature and humidity environment control system, a dynamic scheduling algorithm and system, and an automated equipment auxiliary system.

2. The intelligent warehouse and scheduling system for prepreg according to claim 1, characterized in that, the prepreg state monitoring system monitors the batch, specification, storage location and storage time of the prepreg when it is stored; the temperature and humidity environment control system monitors the environmental temperature and humidity through temperature sensors and humidity sensors, and adjusts the environmental temperature and humidity through temperature controllers and humidity controllers; the dynamic scheduling algorithm and system determines the scheduling priority of the prepreg in the warehouse according to the remaining life dynamic weighting algorithm and the first-in-first-out principle algorithm; the automated equipment auxiliary system realizes three-dimensional storage and automatic handling of the prepreg through a stereoscopic warehouse, an AGV automatic guided vehicle and a stacker.

3. The intelligent warehouse and scheduling system for prepreg according to claim 2, characterized in that, the stereoscopic warehouse adopts a stereoscopic shelf equipped with RFID and two-dimensional code tags to mark the storage location information of the prepreg, and the height of the stereoscopic shelf is set according to actual needs.

4. The intelligent warehouse and scheduling system for prepreg according to claim 3, characterized in that, the stereoscopic warehouse is equipped with a central control host computer for receiving and processing data from various devices, realizing data communication between systems, and controlling the operation of various devices.

5. The intelligent warehouse and scheduling system for prepreg according to claim 1, characterized in that, the prepreg state monitoring system monitors the inventory of prepreg and automatically generates a purchase application when the inventory is low.

6. The intelligent warehouse and scheduling system for prepreg according to claim 4, characterized in that, the temperature and humidity environment control system operates through the following steps: temperature and humidity sensors deployed in the warehouse monitor the environmental temperature and humidity in the storage area, and transmit the temperature and humidity information to the central control host computer; the target values of the environmental temperature and humidity of the prepreg stereoscopic warehouse are set in the temperature and humidity environment control system and are monitored in real time, and when the temperature and humidity exceeds the set range, an abnormality is displayed to notify the relevant personnel, and the temperature controller and / or humidity controller is started to control the environmental temperature and humidity; when the environmental temperature is lower than the set temperature, the environment is heated, when the measured environmental temperature is higher than the set temperature, the environment is cooled, when the measured environmental humidity is lower than the set humidity, the environment is humidified, and when the measured environmental temperature is higher than the set temperature, the environment is dried.

7. The intelligent warehouse and scheduling system for prepreg according to claim 6, characterized in that, the dynamic scheduling algorithm and system operate through the following steps: the remaining life of the prepreg is calculated according to the storage time, storage environment temperature and humidity and other parameters of the prepreg, and the remaining life weighting algorithm is calculated according to the following formula: L(t n ) = L(t n-1 ) - S T (T) - S W (W) - τ (1) where L(t n ) is the remaining life of the prepreg at time t n , τ is the life loss of the prepreg between two adjacent times under ideal storage conditions, S T (T) is the additional life loss introduced under the real-time temperature T, S W (W) is the additional life loss introduced under the real-time humidity W, and the life L(t0) of the prepreg at the initial time t0 is given by the state when it is put into the warehouse. The deviation between the real-time temperature and the ideal storage temperature will introduce additional life loss, which can be calculated by S T (T) described, the algorithm can be calculated with reference to the following formula: S T (T) = a | T - T I | (2) T is the real-time humidity, T I is the ideal storage humidity, and a is a weighting factor. The deviation between the real-time humidity and the ideal storage humidity will introduce additional life loss, by S W (W) description, the algorithm of which can be calculated with reference to the following formula: S W (W) = β | W - W I | (3) W is the real-time humidity, W I is the ideal storage humidity, and β is a weighting coefficient. the lower the remaining life of the prepreg, the higher the priority of the prepreg scheduling use; when the remaining life of the prepreg is consistent, the prepreg with earlier storage time is preferentially scheduled according to the first-in-first-out principle.

8. A method for intelligent storage and scheduling of prepreg, characterized in that, the intelligent storage and scheduling system for prepreg according to any one of claims 1-7 is adopted; comprising the following steps: (1) warehousing, according to the warehousing task order, the prepreg is checked into the warehouse, the RFID and two-dimensional code labels are made for the prepreg, and the database is established; (2) sorting, the prepreg is numbered, the type, batch, specification, warehousing time are recorded in the database, and the storage position is arranged; (3) monitoring, the storage time of the prepreg in the warehouse is calculated in real time, and the remaining service life is calculated; (4) delivery, according to the task requirement, the delivery operation is carried out, and the delivery time is recorded in the database.

9. The method according to claim 8, characterized in that, when warehousing, the supplier delivers the prepreg to the stereoscopic warehouse, the stereoscopic warehouse manager scans and imports the related information of the prepreg type, batch, specification, package size, etc. into the system database, records the warehousing time, and makes the RFID and two-dimensional code labels for the prepreg, which are placed on the outer packaging of the prepreg; the prepreg state monitoring system allocates the storage position of the newly warehoused prepreg in the stereoscopic warehouse according to the information of the prepreg type and package size, etc. and the current storage condition, and generates a warehousing task; the central control host computer sends the warehousing task instruction to the AGV automatic guide vehicle and the stacker; the AGV automatic guide vehicle delivers the prepreg to the designated stereoscopic warehouse according to the preset track according to the instruction, and the stacker carries the prepreg into the designated storage position in the stereoscopic warehouse according to the instruction; after the warehousing task is completed, the prepreg storage information and the storage condition of the stereoscopic warehouse are automatically updated by the prepreg state monitoring system; when delivery, the production department applies for delivery to the prepreg state monitoring system according to the production plan; the prepreg state monitoring system automatically allocates the delivery prepreg according to the first-in-first-out principle and the use priority of the prepreg, and generates a delivery task; the central control host computer sends the delivery instruction to the stacker and the AGV automatic guide vehicle; the stacker takes out the prepreg stored in the stereoscopic warehouse from the storage position and carries it to the ground according to the system delivery instruction; the AGV automatic guide vehicle delivers the prepreg to the delivery position of the stereoscopic warehouse according to the preset track according to the instruction; the stereoscopic warehouse manager scans the RFID or two-dimensional code of the prepreg to record the delivery information; after the delivery task is completed, the prepreg state monitoring system records and updates the inventory information.

10. The method according to claim 9, characterized in that, the stacker is provided with a code scanning device, which can identify the RFID and two-dimensional code labels on the shelves and prepreg packaging, and if the label information is inconsistent with the task specified information, an error signal will be sent and fed back to the central control host computer.

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