Nuclear power plant intelligent storage accurate inventory system and method thereof

Abstract

The invention relates to an intelligent storage accurate checking system and method for a nuclear power plant. The system comprises a 3D contour detection module which is arranged at a warehouse entrance and is used for carrying out non-contact 3D scanning on warehoused goods so as to obtain appearance data and judge whether the outer contour and macroscopic surface defects of the goods meet the goods allocation standard of the three-dimensional warehouse or not. And the weighing and checking special machine is arranged at a checking station in the warehouse and comprises a weighing platform, a code scanning module used for reading barcodes of trays and goods, and a data acquisition module used for acquiring weight, the barcodes and image data in real time. And the automatic checking algorithm server is in communication connection with the weighing checking special machine and is integrated with a weight-quantity inversion module which is used for inversely calculating the quantity of the materials according to the single-piece weight database and the total weight. And the difference comparison module is used for carrying out difference comparison on the actually measured data and the theoretical inventory of the warehouse management system and generating an inventory report.

Description

Technical Field

[0001] This invention relates to the field of nuclear power plant storage technology, and in particular to a precise inventory system and method for intelligent storage in nuclear power plants. Background Technology

[0002] The development history of warehouse inventory management technology includes: 1. Manual inventory counting, 2. Barcode scanning inventory counting, 3. Radio Frequency Identification (RFID) inventory counting, and 4. Artificial Intelligence (AI) counting inventory counting. Current automated inventory counting in warehouse management primarily utilizes RFID technology. However, due to shielding and obstruction, RFID cannot identify certain materials, resulting in some items being undetectable during counting. This necessitates specific placement requirements for materials, requiring unobstructed access for successful counting. While AI-based inventory counting is suitable for equipment with similar standards and specifications, and manufacturers can generally use AI for counting, it suffers from long learning times and significant errors when dealing with a large variety of materials, especially those with significant appearance differences.

[0003] Spare parts and equipment for nuclear power plants are high-value and have low versatility. Warehouses need to accurately reflect the quantity of inventory in real time. With as many as 160,000 types of equipment, conventional inventory methods are insufficient. Simply using radio frequency identification (RFID) can lead to counting accuracy issues due to shielding problems, while simply using weight calculations cannot achieve accurate verification due to the large number of categories and the required precision. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a precise inventory system and method for intelligent warehousing in nuclear power plants.

[0005] The technical solution adopted by this invention to solve its technical problem is: a nuclear power plant intelligent warehousing and accurate inventory system, comprising: The automated warehouse has standard storage locations and can store various types of nuclear power spare parts with large weight ranges; The 3D contour detection module is installed at the entrance of the warehouse and is used to perform non-contact 3D scanning of the goods entering the warehouse to obtain shape data and determine whether the outer contour and macroscopic surface defects of the goods meet the storage location standards of the automated warehouse. The weighing and inventory counting machine is set up at the inventory counting station in the warehouse. It includes a weighing platform, a barcode scanning module for reading pallet and goods barcodes, and a data acquisition module for collecting weight, barcode and image data in real time. An automatic inventory algorithm server communicates and connects with the weighing and inventory machine, and integrates the following: The weight-quantity inversion module is used to inversely calculate the quantity of materials based on the single-item weight database and the total weight. The discrepancy comparison module is used to compare the measured data with the theoretical inventory of the warehouse management system and generate an inventory report. The warehouse management system has a two-way data interface with the 3D contour detection module, weighing and inventory machine and automatic inventory algorithm server to realize inbound access, outbound release and dynamic inventory update. AGV robots / four-way vehicles are used to respond to the handling instructions of the warehouse management system and move pallets within the warehouse to the inventory workstation of the weighing and inventory counting machine.

[0006] In addition, the present invention also provides a method for accurate inventory counting in intelligent warehousing of nuclear power plants applied to systems such as those described above, including the following inbound process steps: S11. New Inbound Task Creation: The warehouse management system receives the upstream inbound instruction and generates a unique inbound order number; S12. Warehouse entry data registration: For each batch of materials, record the material category code, batch number, quantity and unit of measurement of the smallest packaging unit, weight of a single bare piece, and total weight of the package. S13. Shape Inspection: The smallest packaging unit is scanned in its entirety using the 3D contour inspection module to create a three-dimensional model and mark its shape dimensions. If the three-dimensional model deviates from the preset standard deviation beyond the allowable threshold, it is determined to be an abnormal shape and the process proceeds to step S16. S14. Weight detection: Place the smallest packaging unit on the weighing platform to obtain the weight of the single bare piece and the total weight of the package. If the difference between the weight and the theoretical weight registered in step S12 exceeds the preset allowable deviation, it is determined to be a weight abnormality and proceeds to step S16. S15. Palletizing and Shelving: When steps S13 and S14 are both determined to be normal, the warehouse management system allocates multiple materials or multiple batches to the same pallet / cage according to the category code, batch number and weight distribution strategy, and binds the pallet ID to all the smallest packaging unit IDs. S16. Perform exception handling; S17. Complete the listing process.

[0007] Furthermore, in the nuclear power plant intelligent warehousing and precise inventory method described in this invention, step S16 includes: if the weight is abnormal, a weight difference verification list is generated, a re-weighing is performed, and the single item weight in step S12 is updated; if the shape is abnormal, the results of two adjacent three-dimensional model recognitions are compared, and if the deviation persists, the abnormal packaging unit ID is marked and sent back to the warehouse management system, and the item is rejected for shelving.

[0008] Furthermore, in the nuclear power plant intelligent warehousing and precise inventory method described in this invention, step S17 includes: AGV robots / four-way vehicles transport qualified pallets to designated storage locations in the automated warehouse, and the warehouse management system updates the inventory in real time. The inventory data is accurate to the category, batch, quantity, and single item weight of the smallest packaging unit for verification during subsequent automatic inventory checks.

[0009] Furthermore, in the nuclear power plant intelligent warehousing and precise inventory method described in this invention, step S17 further includes: after updating the inventory, the warehousing management system automatically generates and writes an inbound event log to meet the quality assurance traceability requirements of nuclear power spare parts; the inbound event log includes: inbound order number, pallet ID, IDs of all smallest packaging units, URL of the three-dimensional model file, weighing timestamp, and anomaly marker.

[0010] Furthermore, the intelligent warehousing and precise inventory method for nuclear power plants described in this invention also includes an outbound process step: S21. Material Outbound Task Creation: The warehouse management system receives work orders, pre-occupies the corresponding warehouse location inventory, generates outbound task orders, and locks the material category, batch, and quantity. S22. Picking strategy judgment: The warehouse management system compares the quantity required by the work order with the quantity of full packages currently available in the storage location. If the quantity required by the work order exceeds the quantity of full packages currently available in the storage location, full package picking is performed; otherwise, unpacking picking is performed. S23. Weight pre-deduction: Regardless of whether it is a whole package or unpackaged, the warehouse management system calculates the theoretical total weight deduction based on the weight of a single item multiplied by the required quantity, and updates the virtual inventory simultaneously. S24. Physical picking: The AGV robot / four-way vehicle transports the target pallet to the picking station at the outbound gate and completes the picking according to the strategy in step S22. The on-site weighing equipment obtains the actual total weight deducted in real time. S25. Intelligent difference judgment: If the difference between the theoretical total weight deduction and the actual total weight deduction is greater than the preset allowable deviation, it is judged as abnormal. The warehouse management system automatically generates a difference review list and triggers an alarm to prompt manual review. S26. Container returned to warehouse; S27. Formal Inventory Deduction: After verification, the warehouse management system officially deducts the inventory quantity and weight, releases the pre-occupied inventory, updates the storage location status to available, and completes the outbound process.

[0011] Furthermore, in the nuclear power plant intelligent warehousing and precise inventory method described in this invention, step S26 includes: after picking, the remaining materials and containers are weighed and rechecked. If the weight is consistent with the remaining theoretical weight, the AGV robot returns the container to the original storage location or the storage location near the temporary storage port assigned by the system. If they are inconsistent, the process returns to step S25 for rechecking.

[0012] Furthermore, in the nuclear power plant intelligent warehousing and precise inventory method described in this invention, step S22 unpacking and picking includes: printing unpacking labels; the unpacking labels include work order number, required quantity, theoretical weight and QR code / barcode; after scanning the code for confirmation, unpacking is performed to ensure traceability.

[0013] Furthermore, the intelligent warehousing and precise inventory method for nuclear power plants described in this invention also includes the following inventory process steps: S31. Generate inventory plan: The warehouse management system automatically generates an inventory plan on a monthly / semi-annual / annual basis according to a preset cycle or triggering conditions, locks the locations to be inventoried and freezes the corresponding inventory transactions. S32, Container Removal: A four-way vehicle, conveyor belt, or AGV robot moves the target pallet / cage from the automated warehouse location to the inventory check point; S33. Weighing Comparison: The weighing and inventory machine weighs the container and materials as a whole to obtain the actual total weight, and compares it with the theoretical total weight of the container recorded in the warehouse management system. S34. Difference Judgment: If the difference between the actual total weight and the theoretical total weight does not exceed the preset allowable deviation, it is determined that there is no difference and step S36 is executed; if it exceeds the preset allowable deviation, it is determined to be abnormal and step S35 is executed. S35. Discrepancy Review: The warehouse management system automatically generates a discrepancy review list; management personnel verify the discrepancy on-site and confirm the reason for the discrepancy on a mobile terminal, and complete the discrepancy registration. S36. Update the theoretical total weight of the storage location: Regardless of whether there is a difference, the actual total weight is used as the new theoretical total weight of the storage location and written into the database. S37. Container Return: The AGV robot moves the container back to its original location or the centralized location for the same batch specified by the system. The warehouse management system is then unfrozen, and the inventory count is completed.

[0014] Furthermore, in the nuclear power plant intelligent warehousing and accurate inventory method described in this invention, step S35, difference registration, includes: if the difference is confirmed as material loss, the warehousing management system performs inventory quantity deduction and triggers safety stock warning; if the difference is confirmed as measurement error, only the theoretical total weight of the storage location is updated, without modifying the inventory quantity, to maintain consistency between accounts and physical inventory.

[0015] The nuclear power plant intelligent warehousing precision inventory system and method of the present invention have the following beneficial effects: The present invention combines shape detection, weighing and inventory special machine and automatic inventory algorithm, and with the cooperation of AGV robots and four-way vehicles in intelligent warehouse, it can realize fully automatic and precise inventory of up to hundreds of thousands of nuclear power warehousing inventory products in nuclear power plants, filling the gap in intelligent warehousing precision inventory of domestic nuclear power plants. Attached Figure Description

[0016] The present invention will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings: Figure 1 This is a schematic diagram of the structure of the intelligent warehousing and precise inventory system for nuclear power plants provided in an embodiment of the present invention; Figure 2 This is a flowchart illustrating the warehousing process of the intelligent warehousing and precise inventory method for nuclear power plants according to some embodiments of the present invention; Figure 3 This is a flowchart illustrating the outbound process of the intelligent warehousing and precise inventory method for nuclear power plants according to some embodiments of the present invention; Figure 4 This is a flowchart illustrating the intelligent warehousing and precise inventory method for nuclear power plants according to some embodiments of the present invention. Detailed Implementation

[0017] To provide a clearer understanding of the technical features, objectives, and effects of the present invention, specific embodiments of the invention are now described in detail with reference to the accompanying drawings. In the following description, specific details such as particular system structures and techniques are set forth for illustrative purposes rather than for limiting the scope of the invention, in order to provide a thorough understanding of the embodiments. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted to avoid unnecessary detail that could obscure the description of the invention.

[0018] In a preferred embodiment, reference Figure 1 The intelligent warehousing and precise inventory system for nuclear power plants in this embodiment includes: Automated warehouse 1 has standard storage locations and stores various types of nuclear power spare parts with large weight ranges.

[0019] 3D contour detection module 2, located at the inlet, is used for non-contact 3D scanning of incoming goods to obtain shape data and determine whether the goods' outer contour and macroscopic surface defects meet the automated warehouse storage location standards. It can be understood that the core objective of warehouse shape detection is to ensure that the dimensions of incoming goods meet the design standards of the automated warehouse, and to check for macroscopic defects on their surface that affect appearance or function using a 3D contour detection module (such as a 3D scanner). The focus is on the product's contour and shape.

[0020] The weighing and inventory counting machine 3, deployed at the inventory workstation within the warehouse, includes a weighing platform, a barcode scanning module for reading pallet and cargo barcodes, and a data acquisition module for real-time collection of weight, barcode, and image data. It is understood that nuclear power spare parts warehouses are characterized by a large variety of materials, significant differences in shape, and weights ranging from tens of grams to one ton. In this embodiment, the weighing and inventory counting machine can efficiently and accurately acquire various actual information about palletized materials in a complex operating environment and complete the inventory counting operation through data integration with the warehouse management system.

[0021] The automatic inventory algorithm server 4 communicates with the weighing and inventory counting machine and integrates: a weight-quantity inversion module, used to calculate the quantity of materials based on the single-item weight database and total weight; and a difference comparison module, used to compare the measured data with the theoretical inventory in the warehouse management system and generate an inventory report. Optionally, the automatic inventory algorithm server can also integrate an image recognition module for secondary verification of the appearance of goods based on camera images. It can be understood that this embodiment combines the weighing algorithm and image recognition technology of the automatic inventory algorithm server, and interfaces with the warehouse management system to complete the automatic inventory function in conjunction with the weighing and inventory counting machine. This embodiment, through the automatic inventory algorithm server, can perform image difference comparison and weight calculation of materials in the same bin or pallet, achieving accurate inventory counting of warehouse materials.

[0022] The warehouse management system 5 integrates bidirectional data with the 3D contour detection module, weighing and inventory counting machine, and automatic inventory counting algorithm server to achieve inbound access control, outbound release, and dynamic inventory updates. AGV robots / four-way vehicles 6 respond to handling commands from the warehouse management system, transporting pallets within the warehouse to the weighing and inventory counting machine's counting station. This system utilizes existing AGV forklifts and four-way vehicles for material handling, integrating cameras, weighing devices, and barcode / QR code scanning equipment at the material counting locations. These devices perform shape detection, weight recording, and quantity calculation.

[0023] This embodiment combines shape detection, weighing and inventory machines, and automatic inventory algorithm servers. With the cooperation of AGV robots and four-way vehicles in the smart warehouse, it can achieve fully automated and accurate inventory of nuclear power plant smart warehouses.

[0024] In another preferred embodiment, the nuclear power plant intelligent warehousing precision inventory method of this embodiment is applied to the nuclear power plant intelligent warehousing precision inventory system described in the above embodiment. (See reference) Figure 2 The intelligent warehousing and precise inventory method for nuclear power plants in this embodiment includes the following inbound process steps: S11. New Inbound Task Creation: The warehouse management system receives the upstream inbound instruction and generates a unique inbound order number.

[0025] S12. Inbound Data Registration: For each batch of materials, record the material category code, batch number, minimum packaging unit quantity and unit of measurement, single unit weight, and total package weight. It should be noted that units of measurement include, but are not limited to, boxes, cartons, pieces, strips, pairs, and individual units. It can be understood that materials in smart warehousing are generally placed on pallets or cages, and a single pallet or cage may hold multiple materials or multiple batches of materials. Therefore, the inventory data upon inbound needs to record category code information, batch information, material quantity, and the weight information of a single material / packaging unit to ensure data verification during inventory counts. Weight calculations must be recorded down to the smallest unit quantity.

[0026] S13. Shape Inspection: The 3D contour inspection module performs a full contour scan on the smallest packaging unit, establishes a 3D model, and labels the shape dimensions. If the 3D model deviates from the preset standard deviation beyond the allowable threshold, it is determined to be an abnormal shape and proceeds to step S16.

[0027] S14. Weight detection: Place the smallest packaging unit on the weighing platform to obtain the weight of the single bare piece and the total weight of the package. If the difference between the weight and the theoretical weight registered in step S12 exceeds the preset allowable deviation, it is determined to be a weight abnormality and proceeds to step S16.

[0028] S15. Palletizing and Shelving: When steps S13 and S14 are both deemed normal, the warehouse management system allocates multiple materials or batches to the same pallet / cage based on the category code, batch number, and weight distribution strategy, and binds the pallet ID to all smallest packaging unit IDs. It can be understood that the weight distribution strategy in this embodiment can be a greedy algorithm, that is, sorting by single-item weight from heaviest to lightest, prioritizing the placement of heavier materials at the bottom of the pallet, ensuring that the pallet's center of gravity height does not exceed a preset height threshold, thus guaranteeing the stability of the automated warehouse storage location. It should be noted that the preset height threshold can be set according to specific needs. Of course, other related technologies can also be referenced for the weight distribution strategy, which will not be elaborated here.

[0029] S16. Perform anomaly handling. Specifically, step S16 includes: if the anomaly is in weight, generate a weight difference verification list, perform a re-weighing, and update the individual item weight in step S12. If the anomaly is in shape, compare the results of two adjacent 3D model recognitions; if the deviation persists, mark the abnormal packaging unit ID and send it back to the warehouse management system, refusing to put it on the shelf.

[0030] S17. Complete shelving. Specifically, step S17 includes: AGV robots / four-way vehicles transport qualified pallets to designated storage locations in the automated warehouse; the warehouse management system updates the inventory in real time; inventory data is accurate to the category, batch, quantity, and single-item weight of the smallest packaging unit for verification during subsequent automated inventory checks. In some embodiments, step S17 also includes: after updating the inventory, the warehouse management system automatically generates and writes an inbound event log to meet the quality assurance traceability requirements for nuclear power spare parts. The inbound event log includes: inbound order number, pallet ID, all smallest packaging unit IDs, 3D model file URL, weighing timestamp, and anomaly flag.

[0031] In some embodiments, reference is made to Figure 3 The nuclear power plant intelligent warehousing and accurate inventory method in this embodiment also includes outbound process steps: S21. Material Outbound Task Creation: The warehouse management system receives work orders, pre-occupies the corresponding warehouse location inventory, generates outbound task orders, and locks the material category, batch, and quantity.

[0032] S22. Picking Strategy Judgment: The warehouse management system compares the quantity required by the work order with the existing quantity of full packages in the storage location. If the quantity required by the work order exceeds the existing quantity of full packages in the storage location, full package picking is performed; otherwise, unpacking picking is performed. This can be understood as follows: Step S22, unpacking picking, includes printing unpacking labels. The unpacking label includes the work order number, required quantity, theoretical weight, and a QR code / barcode. Unpacking is performed after scanning the barcode to ensure traceability.

[0033] S23. Weight pre-deduction: Regardless of whether it is a whole package or unpackaged, the warehouse management system calculates the theoretical total weight deduction based on the weight of a single item multiplied by the required quantity, and updates the virtual inventory simultaneously.

[0034] S24. Physical picking: The AGV robot / four-way vehicle transports the target pallet to the picking station at the outbound gate and completes the picking according to the strategy in step S22. The on-site weighing equipment obtains the actual total weight deducted in real time.

[0035] S25. Intelligent Discrepancy Judgment: If the difference between the theoretical total weight deduction and the actual total weight deduction exceeds the preset allowable deviation, it is judged as an anomaly. The warehouse management system automatically generates a discrepancy review list and triggers an alarm, prompting manual review. Specifically, the discrepancy review list includes the work order number, material category code, batch number, required quantity, theoretical total weight deduction, actual total weight deduction, discrepancy rate, and anomaly time. The discrepancy review list can be pushed to the on-site mobile terminal via WebSocket. After manual confirmation, the work order number and review result must be entered.

[0036] S26. Container Return to Warehouse. Specifically, step S26 includes: after picking, the remaining materials and containers are weighed and rechecked. If the weight matches the remaining theoretical weight, the AGV robot returns the container to its original storage location or the storage location near the temporary storage port assigned by the system. If they do not match, the process returns to step S25 for rechecking.

[0037] S27. Formal Inventory Deduction: After verification, the warehouse management system officially deducts the inventory quantity and weight, releases the pre-occupied inventory, updates the storage location status to available, and completes the outbound process.

[0038] In some embodiments, reference is made to Figure 4 The nuclear power plant intelligent warehousing and precise inventory method in this embodiment also includes the following inventory process steps: S31. Generate Inventory Plan: The warehouse management system automatically generates an inventory plan monthly / semi-annual / annually based on preset cycles or trigger conditions, locks the locations to be inventoried, and freezes the corresponding inventory transactions.

[0039] S32. Container removal: A four-way vehicle, conveyor belt, or AGV robot moves the target pallet / cage from the automated warehouse location to the inventory check point.

[0040] S33. Weighing Comparison: The weighing and inventory machine weighs the container and materials as a whole to obtain the actual total weight, and compares it with the theoretical total weight of the container recorded in the warehouse management system.

[0041] S34. Difference Judgment: If the difference between the actual total weight and the theoretical total weight does not exceed the preset allowable deviation, then there is no difference, and step S36 is executed. If the difference exceeds the preset allowable deviation, then an anomaly is determined, and step S35 is executed.

[0042] S35. Discrepancy Verification: The warehouse management system automatically generates a discrepancy verification list. Management personnel verify the discrepancies on-site and confirm the reasons for the discrepancies via mobile devices, completing the discrepancy registration. It can be understood that in this step, if the discrepancy is confirmed as material loss, the warehouse management system will deduct the inventory quantity and trigger a safety stock warning. If the discrepancy is confirmed as a measurement error, only the theoretical total weight of the storage location is updated; the inventory quantity is not modified, maintaining consistency between the records and physical inventory.

[0043] S36. Update the theoretical total weight of the storage location: Regardless of whether there is a difference, the actual total weight is used as the new theoretical total weight of the storage location and written into the database.

[0044] S37. Container Return: The AGV robot moves the container back to its original location or the centralized location for the same batch specified by the system. The warehouse management system is then unfrozen, and the inventory count is completed.

[0045] This solution utilizes weighing and inventory technology. By analyzing data from the inbound process, especially the records of individual materials, it allows for comparison of changes in material quantities during inventory periods, thereby achieving the goal of inventory counting. This solution operates within an automated warehouse, a non-managed area. Inventory counting is conducted according to a plan, weighing and counting the goods at each location. Due to time constraints, for cages or pallets requiring outbound shipment, inventory can be performed first, followed by outbound shipment. Therefore, inbound and outbound operations and inventory counting can be carried out simultaneously without affecting daily warehouse management. This application combines shape detection, dedicated weighing and inventory counting machines, and automated inventory counting system algorithms to achieve fully automated and accurate inventory counting of up to 160,000 categories of nuclear power plant warehouse inventory products. This invention not only fills the gap in accurate inventory counting for intelligent warehousing in domestic nuclear power plants but is also applicable to the management of multi-category material warehouses in other industries, such as petroleum, chemical, medical, and energy sectors, where high value and real-time requirements are crucial.

[0046] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0047] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0048] It is understood that the above embodiments only illustrate preferred embodiments of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can freely combine the above technical features without departing from the concept of the present invention, and can also make several modifications and improvements, all of which fall within the protection scope of the present invention. Therefore, all equivalent transformations and modifications made with respect to the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. A precise inventory management system for intelligent warehousing in nuclear power plants, characterized in that, include: The automated warehouse has standard storage locations and can store various types of nuclear power spare parts with large weight ranges; The 3D contour detection module is installed at the entrance of the warehouse and is used to perform non-contact 3D scanning of the goods entering the warehouse to obtain shape data and determine whether the outer contour and macroscopic surface defects of the goods meet the storage location standards of the automated warehouse. The weighing and inventory counting machine is set up at the inventory counting station in the warehouse. It includes a weighing platform, a barcode scanning module for reading pallet and goods barcodes, and a data acquisition module for collecting weight, barcode and image data in real time. An automatic inventory algorithm server communicates and connects with the weighing and inventory machine, and integrates the following: The weight-quantity inversion module is used to invert the quantity of materials based on the single-item weight database and the total weight. The discrepancy comparison module is used to compare the measured data with the theoretical inventory of the warehouse management system and generate an inventory report. The warehouse management system has a two-way data interface with the 3D contour detection module, weighing and inventory machine and automatic inventory algorithm server to realize inbound access, outbound release and dynamic inventory update. AGV robots / four-way vehicles are used to respond to the handling instructions of the warehouse management system and move pallets within the warehouse to the inventory workstation of the weighing and inventory counting machine.

2. A method for precise inventory management in a nuclear power plant's intelligent warehouse, applied to the system described in claim 1, characterized in that, Including the following steps in the warehousing process: S11. New Inbound Task Creation: The warehouse management system receives the upstream inbound instruction and generates a unique inbound order number; S12. Warehouse entry data registration: For each batch of materials, record the material category code, batch number, quantity and unit of measurement of the smallest packaging unit, weight of a single bare piece, and total weight of the package. S13. Shape Inspection: The smallest packaging unit is scanned in its entirety using the 3D contour inspection module to create a three-dimensional model and mark its shape dimensions. If the three-dimensional model deviates from the preset standard deviation beyond the allowable threshold, it is determined to be an abnormal shape and the process proceeds to step S16. S14. Weight detection: Place the smallest packaging unit on the weighing platform to obtain the weight of the single bare piece and the total weight of the package. If the difference between the weight and the theoretical weight registered in step S12 exceeds the preset allowable deviation, it is determined to be a weight abnormality and proceeds to step S16. S15. Palletizing and Shelving: When steps S13 and S14 are both determined to be normal, the warehouse management system allocates multiple materials or multiple batches to the same pallet / cage according to the category code, batch number and weight distribution strategy, and binds the pallet ID to all the smallest packaging unit IDs. S16. Perform exception handling; S17. Complete the listing process.

3. The method for precise inventory management in intelligent warehousing of nuclear power plants according to claim 2, characterized in that, Step S16 includes: If the weight is abnormal, a weight difference verification list is generated, a re-weighing is performed, and the individual weight in step S12 is updated. If the shape is abnormal, compare the results of the two adjacent 3D model recognitions. If the deviation persists, mark the abnormal packaging unit ID and send it back to the warehouse management system, and refuse to put it on the shelf.

4. The method for precise inventory management in intelligent warehousing of nuclear power plants according to claim 2, characterized in that, Step S17 includes: AGV robots / four-way vehicles transport qualified pallets to designated storage locations in the automated warehouse. The warehouse management system updates inventory in real time, with inventory data accurate to the category, batch, quantity, and weight of the smallest packaging unit, for verification during subsequent automated inventory checks.

5. The method for precise inventory management in intelligent warehousing of nuclear power plants according to claim 4, characterized in that, Step S17 also includes: After the inventory is updated, the warehouse management system automatically generates and writes an inbound event log to meet the quality assurance and traceability requirements of nuclear power spare parts. The inbound event log includes: inbound order number, pallet ID, IDs of all smallest packaging units, 3D model file URL, weighing timestamp, and anomaly flag.

6. The method for precise inventory management in intelligent warehousing of nuclear power plants according to claim 2, characterized in that, It also includes the outbound process steps: S21. Material Outbound Task Creation: The warehouse management system receives work orders, pre-occupies the corresponding warehouse location inventory, generates outbound task orders, and locks the material category, batch, and quantity. S22. Picking strategy judgment: The warehouse management system compares the quantity required by the work order with the quantity of full packages currently available in the storage location. If the quantity required by the work order exceeds the quantity of full packages currently available in the storage location, full package picking is performed; otherwise, unpacking picking is performed. S23. Weight pre-deduction: Regardless of whether it is a whole package or unpackaged, the warehouse management system calculates the theoretical total weight deduction based on the weight of a single item multiplied by the required quantity, and updates the virtual inventory simultaneously. S24. Physical picking: The AGV robot / four-way vehicle transports the target pallet to the picking station at the outbound gate and completes the picking according to the strategy in step S22. The on-site weighing equipment obtains the actual total weight deducted in real time. S25. Intelligent difference judgment: If the difference between the theoretical total weight deduction and the actual total weight deduction is greater than the preset allowable deviation, it is judged as abnormal. The warehouse management system automatically generates a difference review list and triggers an alarm to prompt manual review. S26. Container returned to warehouse; S27. Formal Inventory Deduction: After verification, the warehouse management system officially deducts the inventory quantity and weight, releases the pre-occupied inventory, updates the storage location status to available, and completes the outbound process.

7. The method for precise inventory management in intelligent warehousing of nuclear power plants according to claim 6, characterized in that, Step S26 includes: After picking is completed, the remaining materials and containers are weighed and rechecked. If the weight is consistent with the remaining theoretical weight, the AGV robot will return the container to the original storage location or the storage location near the temporary storage port assigned by the system. If they are inconsistent, the process will return to step S25 for rechecking.

8. The method for precise inventory management in intelligent warehousing of nuclear power plants according to claim 6, characterized in that, Step S22, unpacking and picking, includes: Print unpacking labels; the unpacking labels include the work order number, required quantity, theoretical weight, and QR code / barcode; After scanning the code for confirmation, the package is unpacked to ensure traceability.

9. The method for precise inventory management in intelligent warehousing of nuclear power plants according to claim 2, characterized in that, It also includes the inventory process steps: S31. Generate inventory plan: The warehouse management system automatically generates an inventory plan on a monthly / semi-annual / annual basis according to a preset cycle or triggering conditions, locks the locations to be inventoried and freezes the corresponding inventory transactions. S32, Container Removal: A four-way vehicle, conveyor belt, or AGV robot moves the target pallet / cage from the automated warehouse location to the inventory check point; S33. Weighing Comparison: The weighing and inventory machine weighs the container and materials as a whole to obtain the actual total weight, and compares it with the theoretical total weight of the container recorded in the warehouse management system. S34. Difference Judgment: If the difference between the actual total weight and the theoretical total weight does not exceed the preset allowable deviation, then it is determined that there is no difference, and step S36 is executed. If the preset allowable deviation is exceeded, an abnormality is determined, and step S35 is executed; S35. Discrepancy Review: The warehouse management system automatically generates a discrepancy review list; Management personnel verify the discrepancies on-site and confirm the reasons for the discrepancies using mobile terminals, and complete the discrepancy registration. S36. Update the theoretical total weight of the storage location: Regardless of whether there is a difference, the actual total weight is used as the new theoretical total weight of the storage location and written into the database. S37. Container Return: The AGV robot moves the container back to its original location or the centralized location for the same batch specified by the system. The warehouse management system is then unfrozen, and the inventory count is completed.

10. The method for precise inventory management in intelligent warehousing of nuclear power plants according to claim 9, characterized in that, Step S35, difference registration, includes: If the discrepancy is confirmed to be due to material loss, the warehouse management system will deduct the inventory quantity and trigger a safety stock warning. If the discrepancy is confirmed to be a measurement error, only the theoretical total weight of the goods at the storage location will be updated, without modifying the inventory quantity, to maintain consistency between the accounts and the physical inventory.

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