Nuclear power plant important spare part inventory intelligent early warning method and storage medium

Abstract

The invention relates to a nuclear power plant important spare part inventory intelligent early warning method and a storage medium. The method comprises the following steps: S1, classifying nuclear power plant spare parts to determine spare parts belonging to important spare part types; s2, acquiring basic information of the important spare parts from the SAP spare part database; and S3, based on the basic information, according to a preset spare part inventory management algorithm, identifying spare parts which do not meet the demand in inventory. And S4, carrying out inventory early warning on the spare parts which do not meet the requirements in inventory. The method can timely find the spare part list of the important spare parts which do not meet the safety inventory and field safety production requirements, ensures that the important spare part inventory meets the safety inventory requirements and the actual use requirements, improves the important spare part guarantee level of the nuclear power plant, and improves the work efficiency of important spare part inventory management.

Description

Technical Field

[0001] The present invention relates to the technical field of nuclear power spare parts inventory management, and in particular to an intelligent early warning method and storage medium for important spare parts inventory of a nuclear power plant. Background Art

[0002] Spare parts management is crucial at nuclear power plants. The goal of spare parts inventory management is to ensure that spare parts inventory meets safety stock requirements and actual operational needs, thereby ensuring the smooth implementation of on-site safety production activities. Currently, nuclear power plants have over 150,000 spare parts items, and actual spare parts consumption is high. However, spare parts inventory is still managed manually and irregularly. These issues have led to inefficient spare parts inventory management at nuclear power plants, with a long-standing problem of a large inventory of spare parts that does not meet operational needs, hindering the implementation of on-site safety production activities. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an intelligent early warning method and storage medium for the inventory of important spare parts of a nuclear power plant, in view of the defect of low manual management efficiency in existing spare parts management.

[0004] The technical solution adopted by the present invention to solve the technical problem is: an intelligent early warning method for the inventory of important spare parts of a nuclear power plant, the method comprising the following steps:

[0005] S1. Classify the spare parts of nuclear power plants to determine which spare parts are important spare parts;

[0006] S2. Obtain basic information of important spare parts from the SAP spare parts database;

[0007] S3. Based on the basic information, identifying spare parts that do not meet demand in stock according to a pre-equipment parts inventory management algorithm;

[0008] S4. Issue inventory warning for spare parts that do not meet demand.

[0009] Furthermore, in the intelligent early warning method for important spare parts inventory of a nuclear power plant according to the present invention, step S4 includes:

[0010] The inventory does not meet the demand spare parts to generate a warning spare parts list, generate a procurement task based on the warning spare parts list, and send a warning notification to the user terminal of the spare parts engineer.

[0011] Furthermore, in the intelligent early warning method for the inventory of important spare parts of a nuclear power plant according to the present invention, the method further comprises:

[0012] S5. Receive the evaluation result of the spare parts engineer for the approval evaluation of the procurement task input through the user terminal, and after confirming the need for procurement based on the evaluation result, automatically propose the SMP system project for the procurement task.

[0013] Furthermore, in the intelligent early warning method for the inventory of important spare parts of nuclear power plants described in the present invention, the important spare parts include Class H spare parts, spare parts supervised by the Nuclear Safety Administration, overhaul spare parts and / or spare parts of leadership concern, and the basic information includes inventory quantity, reserved quantity, and reorder point.

[0014] Furthermore, in the intelligent early warning method for important spare parts inventory of a nuclear power plant according to the present invention, step S3 includes:

[0015] When the important spare parts are Class H spare parts and the spare parts are of leadership concern, the pre-equipped parts inventory management algorithm is as follows:

[0016] [Inventory Quantity] ≤ 0, or [Inventory Quantity] - [Reserved Quantity] - [Reorder Point (Safety Stock)] < 0;

[0017] Spare parts that meet the above algorithm conditions are spare parts whose inventory does not meet demand;

[0018] Step S4 includes:

[0019] When the above algorithm conditions are met, the H-type spare parts and leadership-focused spare parts inventory warning are triggered.

[0020] Furthermore, in the intelligent early warning method for important spare parts inventory of a nuclear power plant according to the present invention, step S3 includes:

[0021] When the important spare parts are CCM spare parts or spare parts supervised by the Nuclear Safety Administration, the pre-equipped parts inventory management algorithm is as follows:

[0022] [Inventory Quantity]≤0;

[0023] Spare parts that meet the above algorithm conditions are spare parts whose inventory does not meet demand;

[0024] Step S4 includes:

[0025] When the above algorithm conditions are met, the inventory warning of Class H spare parts and spare parts supervised by the Nuclear Safety Administration is triggered.

[0026] Furthermore, in the intelligent early warning method for important spare parts inventory of a nuclear power plant according to the present invention, step S3 includes:

[0027] When the important spare parts are overhaul spare parts, the overhaul work orders are summarized from the SAP system to determine the total number of spare parts required for the overhaul. The corresponding pre-equipped parts inventory management algorithm is:

[0028] Inventory quantity - total quantity of spare parts required for overhaul - (order start time of daily version < required quantity corresponding to the latest overhaul version time) - [reorder point (safety stock)] < 0;

[0029] Spare parts that meet the above algorithm conditions are spare parts whose inventory does not meet demand;

[0030] Step S4 includes:

[0031] When the above algorithm conditions are met, an overhaul spare parts inventory warning is triggered.

[0032] Furthermore, in the intelligent early warning method for important spare parts inventory of a nuclear power plant according to the present invention, step S4 further includes:

[0033] The overhaul work orders that do not meet the requirements are calculated cyclically in the following way and recorded in the notes:

[0034] If the demand quantity corresponding to the work order start date of Cn ([Inventory Quantity] - [Reorder Point (Safety Stock)] - (C1 + C2 + C3 + C4 + ... + Cn) - Daily Version) is less than 0 before the work order start time of Cn, then the remark is that the demand is not met;

[0035] If the demand quantity corresponding to Cn-1: [Inventory Quantity] - [Reorder Point (Safety Stock)] - (C1+C2+C3+C4+…+Cn-1) - Daily Version Work Order Start Date is before the Cn Work Order Start Time < 0, then the remark is that the demand is not met;

[0036] If the demand quantity corresponding to Cn-2: [Inventory Quantity] - [Reorder Point (Safety Stock)] - (C1+C2+C3+C4+…+Cn-2) - Daily Version Work Order Start Date is before the Cn Work Order Start Time ≥ 0, then the remark is "Demand is met";

[0037] Among them, C1, C2, ..., Cn represent the order of overhaul work orders, which are sorted according to the overhaul start time. C1 is the overhaul work order with the earliest order start time, and Cn is the overhaul work order with the latest order start time.

[0038] Furthermore, in the intelligent early warning method for the inventory of important spare parts of a nuclear power plant according to the present invention, step S4 includes:

[0039] Based on the data that meets the alert criteria, the spare part code is compared with the data generated by the previous trigger. If the values of the [Inventory Quantity], [Reserved Quantity], and [(Reorder Point) Safety Stock] fields for the spare part code change, an alert spare parts list is generated.

[0040] If there is no change, and the current trigger date - the previous trigger date > the configured number of days, an early warning spare parts list is generated; otherwise, no early warning spare parts list is generated.

[0041] In addition, the present invention also provides a computer-readable storage medium, which stores a computer program, and the computer program is suitable for loading by a processor to execute the steps of the above-mentioned intelligent early warning method for important spare parts inventory of nuclear power plants.

[0042] The implementation of the intelligent early warning method and storage medium for important spare parts inventory in nuclear power plants of the present invention has the following beneficial effects: the present invention can promptly discover spare parts lists whose important spare parts do not meet the safety inventory and on-site production safety requirements, and automatically propose purchases, thereby ensuring that the important spare parts inventory meets the safety inventory requirements and actual usage needs, improving the security level of important spare parts in nuclear power plants, and improving the work efficiency of important spare parts inventory management. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:

[0044] Figure 1 This is a flow chart of an intelligent early warning method for important spare parts inventory in a nuclear power plant provided by an embodiment of the present invention;

[0045] Figure 2 This is a flow chart of an intelligent early warning method for important spare parts inventory in a nuclear power plant provided by an embodiment of the present invention;

[0046] Figure 3 The present invention provides a flowchart of an intelligent early warning method for important spare parts inventory in a nuclear power plant. DETAILED DESCRIPTION

[0047] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, specific embodiments of the present invention are now described in detail with reference to the accompanying drawings.

[0048] In the following description, specific details such as particular system structures and techniques are provided for purposes of illustration, not limitation, to facilitate a thorough understanding of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0049] refer to Figure 1 In a preferred embodiment, the intelligent early warning method for important spare parts inventory of nuclear power plants of this embodiment includes the following steps:

[0050] S1. Classify nuclear power plant spare parts to identify those that are considered critical spare parts. This includes Class H spare parts, spare parts regulated by the Nuclear Safety Administration, overhaul spare parts, and spare parts of leadership concern.

[0051] S2. Obtain basic information about important spare parts from the SAP spare parts database. The SAP spare parts database refers to the spare parts database in the SAP system that stores information related to nuclear power plant spare parts, including basic information. Specifically, basic information includes but is not limited to inventory quantity, reserved quantity, and reorder point.

[0052] S3. Based on the basic information, identify spare parts that do not meet inventory requirements using a pre-installed spare parts inventory management algorithm. In other words, perform calculations based on an intelligent management algorithm for important spare parts inventory to identify a list of spare parts that do not meet inventory requirements.

[0053] S4. Issue an inventory warning for spare parts whose inventory does not meet demand. In some embodiments, a list of spare parts whose inventory does not meet demand can be counted to generate a warning spare parts list, and a procurement task is generated based on the warning spare parts list, and a warning notification is sent to the user terminal of the spare parts engineer. For example, a procurement task is generated based on a list of spare parts whose inventory does not meet demand, and an early warning email is automatically sent to the user terminal of the spare parts engineer or the system account of the spare parts engineer. The email may include the early warning spare parts list and the generated procurement task, etc., and is distributed to the corresponding spare parts engineer for approval and processing, so that he can promptly evaluate the necessity of purchasing additional spare parts. Alternatively, a procurement task can be generated for each spare part code.

[0054] This embodiment can promptly discover spare parts lists whose important spare parts do not meet the safety inventory and on-site production safety requirements, and automatically propose purchases, ensuring that the important spare parts inventory meets the safety inventory requirements and actual usage needs, improving the important spare parts guarantee level of nuclear power plants, and improving the work efficiency of important spare parts inventory management.

[0055] refer to Figure 2 In some embodiments, this embodiment further includes step S5: receiving the evaluation results of the procurement task, input by the spare parts engineer via the user terminal, and automatically submitting a project proposal for the procurement task to the SMP system after confirming the need for procurement based on the evaluation results. In other words, after the spare parts engineer has assessed the need for procurement, he or she generates and submits a project proposal for the procurement task to the SMP system through an automated process or automated tool.

[0056] It will be appreciated that in this embodiment, after identifying spare parts that do not meet inventory requirements using a pre-installed parts inventory management algorithm based on the acquired basic information about important spare parts and generating a warning spare parts list, a procurement task is generated based on the warning spare parts list, and a warning notification is sent to the spare parts engineer's user terminal. The system then receives the spare parts engineer's evaluation results for the procurement task, entered via the user terminal. After confirming the need for procurement based on the evaluation results, the system generates and submits a project approval proposal for the procurement task to the SMP system through automated processes or tools. It should be noted that in the nuclear power sector, the SMP (Safety Management Platform) system generally refers to a safety management system. This is an integrated platform used to manage and monitor safety-related activities in nuclear power plants, ensuring that nuclear power plant operations comply with safety standards and regulatory requirements. The SMP system plays a crucial role in nuclear power plant safety management, covering multiple aspects, including safety monitoring, accident prevention, emergency response, and safety training. The structure and principles of the SMP system can be referenced in the prior art and will not be further elaborated here.

[0057] This embodiment establishes a data model for core data such as spare parts inventory quantity, safety inventory, reserved quantity, and ordered quantity. It can promptly discover spare parts lists of important spare parts that do not meet safety inventory and on-site production safety needs, and automatically propose purchases to ensure that the inventory of important spare parts meets safety inventory requirements and actual usage needs, thereby improving the level of important spare parts security in nuclear power plants and improving the work efficiency of important spare parts inventory management.

[0058] like Figure 3 As shown, in some embodiments, step S3 includes: when the important spare parts are H-class spare parts and the leader is concerned about the spare parts, the pre-equipped spare parts inventory management algorithm is:

[0059] [Inventory Quantity] ≤ 0, or [Inventory Quantity] - [Reserved Quantity] - [Reorder Point (Safety Stock)] < 0.

[0060] Spare parts that meet the aforementioned algorithm conditions are considered spare parts with inventory shortages. When these conditions are met, an inventory alert for Class H spare parts or spare parts of leadership concern is triggered. It will be appreciated that in this embodiment, based on the acquired basic information for Class H spare parts and / or spare parts of leadership concern, after identifying spare parts with inventory shortages and generating a warning spare parts list according to the pre-installed parts inventory management algorithm, a procurement task is generated based on the warning spare parts list, and a warning notification is sent to the spare parts engineer's user terminal.

[0061] It can be understood that the reorder point (ROP) is an important concept in inventory management. It refers to the point at which a new order is needed to replenish inventory when the inventory level drops to a certain point. Reorder points include various types such as safety stock and minimum stock. That is, in the embodiment of the present invention, safety stock is a type of reorder point, which means the inventory quantity to ensure inventory safety. The setting of the reorder point is crucial to ensure that the company can replenish inventory in a timely manner, avoid out-of-stocks, and maintain operational efficiency. The specific calculation formula of the reorder point can be referred to the existing technology and will not be repeated here.

[0062] like Figure 3 As shown, in some embodiments, step S3 includes: when the important spare parts are CCM spare parts or spare parts supervised by the Nuclear Safety Administration, the pre-equipped parts inventory management algorithm is:

[0063] [Inventory Quantity]≤0.

[0064] Spare parts that meet the above algorithm conditions are spare parts whose inventory does not meet demand. When the above algorithm conditions are met, an inventory warning for Class H spare parts and spare parts supervised by the Nuclear Safety Administration is triggered. It can be understood that in this embodiment, based on the basic information of the acquired CCM spare parts and / or spare parts supervised by the Nuclear Safety Administration, after identifying the spare parts whose inventory does not meet demand and generating a warning spare parts list according to the pre-equipment parts inventory management algorithm, a procurement task is generated according to the warning spare parts list, and a warning notification is sent to the user terminal of the spare parts engineer. It can be understood that CCM spare parts are key sensitive equipment.

[0065] like Figure 3 As shown, in some embodiments, step S3 includes: when the critical spare part is an overhaul spare part, aggregating the overhaul work orders from the SAP system to determine the total number of spare parts required for the overhaul. It will be appreciated that basic spare part information, including inventory quantity, reserved quantity, and reorder point, is obtained from the SAP spare parts database. The reserved quantity of overhaul spare parts is obtained from the SAP system, and the reserved spare part codes and quantities of the overhaul work orders (version, account assignment, demand quantity, and order start date) are aggregated using Z06MB25 to determine the total spare parts demand for each round of overhaul. Z06MB25 is an SAP operation code used to generate statistical reservation reports.

[0066] Specifically, when a spare part is classified as an overhaul spare part, work order data is retrieved from the SAP system. Work orders with a status of "CSR, CPL, PC, or REJ" are removed. Work orders with the "YJ***" field in the version field are aggregated as overhaul work orders. All other work orders are classified as routine work orders. These work orders contain information such as the order start time and are sorted in chronological order based on the order start time. The required spare part quantity for each overhaul work order is calculated, namely, the required spare part code and the corresponding required quantity for each work order. The total number of spare parts required for the overhaul is calculated. Specifically, the total number of spare parts required for the overhaul is calculated by summing the required quantities for each overhaul work order's spare part code. It should be noted that CSR indicates a completed work order status, CPL indicates a closed work order status, PC indicates an equivalent work order status, and REJ indicates a rejected work order status, meaning it does not require execution. YJ represents an overhaul version of the work order, i.e., an overhaul work order. For example, YJ101 represents an overhaul 101. Daily version refers to the daily version of the work order, that is, the daily work order.

[0067] The corresponding pre-equipment parts inventory management algorithm is:

[0068] Inventory quantity - total number of spare parts required for overhaul - (order start time of daily version < required quantity corresponding to the latest overhaul version time) - [reorder point (safety stock)] < 0.

[0069] Spare parts that meet the aforementioned algorithm conditions are considered to have inventory shortages. When these conditions are met, an overhaul spare parts inventory alert is triggered. It is understood that in this embodiment, based on the acquired basic information about overhaul spare parts, the pre-installed parts inventory management algorithm identifies spare parts with inventory shortages and generates an alert spare parts list. A procurement task is then generated based on the alert spare parts list, and an alert notification is sent to the spare parts engineer's user terminal. It is understood that CCM spare parts are critical and sensitive equipment.

[0070] It can be understood that if the inventory quantity - the total number of spare parts required for overhaul - (the order start time of the daily version < the required quantity corresponding to the latest overhaul version time) - [reorder point (safety stock)] ≥ 0, the inventory meets the reserved demand and there is no need to trigger an alert.

[0071] In some embodiments, in step S4, overhaul work orders that do not meet the requirements may be cyclically calculated and recorded in the notes in the following manner:

[0072] If the demand quantity corresponding to Cn: [Inventory Quantity] - [Reorder Point (Safety Stock)] - (C1 + C2 + C3 + C4 + ... + Cn) - Daily Version Work Order Start Date is before the Cn Work Order Start Time and is less than 0, then the remark is that the demand is not met.

[0073] If the demand quantity corresponding to Cn-1: [Inventory Quantity] - [Reorder Point (Safety Stock)] - (C1+C2+C3+C4+…+Cn-1) - Daily Version Work Order Start Date is before the Cn Work Order Start Time and is less than 0, then the remark is that the demand is not met.

[0074] If the demand quantity corresponding to Cn-2: [Inventory Quantity] - [Reorder Point (Safety Stock)] - (C1+C2+C3+C4+…+Cn-2) - Daily Version Work Order Start Date is before the Cn Work Order Start Time ≥ 0, then the remark is that the demand is met.

[0075] By analogy, once the calculation reaches Cn-2, there's no need to calculate the data before Cn-2; all data will meet the requirements. C1, C2, ..., Cn represent the order of overhaul work orders, sorted by overhaul start time. C1 is the overhaul work order with the earliest start time, and Cn is the overhaul work order with the latest start time. This embodiment can cyclically calculate which work orders do not meet the requirements and record them in the notes section for later review and application.

[0076] In some embodiments, a mechanism can also be implemented to prevent duplicate alerts. Specifically, based on the data that meets the alert criteria, the spare part code is compared with the data generated by the previous trigger. If the values of the [Inventory Quantity], [Reserved Quantity], and [(Reorder Point) Safety Stock] fields for the spare part code change, an alert spare parts list is generated. If there are no changes, and the current trigger date minus the previous trigger date exceeds the configured number of days, an alert spare parts list is generated; otherwise, no alert spare parts list is generated.

[0077] In other words, the data obtained above that meets the warning requirements is compared with the data generated by the previous trigger, based on the spare part code. If the values of the [Inventory Quantity], [Reserved Quantity], and [(Reorder Point) Safety Stock] fields for the spare part code have changed, a warning list needs to be generated for this data. If there have been no changes, the custom configured number of days is determined. If the current trigger date minus the previous trigger date is greater than the configured number of days, a warning list needs to be generated. Otherwise, no warning list is generated. This embodiment effectively prevents duplicate warnings.

[0078] This embodiment establishes a data model for core data such as spare parts inventory quantity, safety inventory, reserved quantity, and ordered quantity. It can promptly discover spare parts lists of important spare parts that do not meet safety inventory and on-site production safety needs, and automatically propose purchases to ensure that the inventory of important spare parts meets safety inventory requirements and actual usage needs, thereby improving the level of important spare parts security in nuclear power plants and improving the work efficiency of important spare parts inventory management.

[0079] In another preferred embodiment, the computer-readable storage medium of this embodiment stores a computer program suitable for loading by a processor to execute the steps of the intelligent early warning method for critical spare parts inventory in nuclear power plants of the above-described embodiment. This embodiment establishes a data model for core data such as spare parts inventory quantity, safety inventory, reserved quantity, and ordered quantity. This allows for timely identification of spare parts lists where critical spare parts do not meet safety inventory and on-site production safety requirements, and automatically initiates procurement. This ensures that critical spare parts inventory meets safety inventory requirements and actual usage needs, thereby improving the critical spare parts security level of nuclear power plants and enhancing the efficiency of critical spare parts inventory management.

[0080] The computer-readable storage medium of the present invention can be any computer-readable storage medium that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk.

[0081] The processor of the present invention is used to provide computing and control capabilities to support the operation of the entire device. It should be understood that in the embodiments of the present application, the processor can be a central processing unit (CPU), and the processor can also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0082] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the components and steps of each example according to their functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0083] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0084] It is understandable that the above embodiments only express the preferred implementation modes of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the patent scope of the present invention. It should be pointed out that for ordinary technicians in this field, without departing from the concept of the present invention, the above technical features can be freely combined, and several deformations and improvements can be made, all of which fall within the scope of protection of the present invention. Therefore, all equivalent changes and modifications made to the scope of the claims of the present invention should fall within the scope of coverage of the claims of the present invention.

Claims

1. An intelligent early warning method for the inventory of important spare parts in a nuclear power plant, characterized in that: The method comprises the following steps: S1. Classify the spare parts of nuclear power plants to determine which spare parts are important spare parts; S2. Obtain basic information of important spare parts from the SAP spare parts database; S3. Based on the basic information, identifying spare parts that do not meet demand in stock according to a pre-equipment parts inventory management algorithm; S4. Issue inventory warning for spare parts that do not meet demand.

2. The intelligent early warning method for important spare parts inventory of nuclear power plants according to claim 1 is characterized in that: Step S4 includes: The inventory does not meet the demand spare parts to generate a warning spare parts list, generate a procurement task based on the warning spare parts list, and send a warning notification to the user terminal of the spare parts engineer.

3. The intelligent early warning method for important spare parts inventory of nuclear power plants according to claim 2 is characterized in that: The method further includes: S5. Receive the evaluation result of the spare parts engineer for the approval evaluation of the procurement task input through the user terminal, and after confirming the need for procurement based on the evaluation result, automatically propose the SMP system project for the procurement task.

4. The intelligent early warning method for the inventory of important spare parts in a nuclear power plant according to claim 1, wherein the important spare parts include Class H spare parts, spare parts supervised by the Nuclear Safety Administration, overhaul spare parts and / or spare parts of leadership attention, and the basic information includes inventory quantity, reserved quantity, and reorder point.

5. The intelligent early warning method for important spare parts inventory of nuclear power plants according to claim 4 is characterized in that: Step S3 includes: When the important spare parts are Class H spare parts and the spare parts are of leadership concern, the pre-equipped parts inventory management algorithm is as follows: [Inventory Quantity] ≤ 0, or [Inventory Quantity] - [Reserved Quantity] - [Reorder Point (Safety Stock)] < 0; Spare parts that meet the above algorithm conditions are spare parts whose inventory does not meet demand; Step S4 includes: When the above algorithm conditions are met, the H-type spare parts and leadership-focused spare parts inventory warning are triggered.

6. The intelligent early warning method for important spare parts inventory of nuclear power plants according to claim 4 is characterized in that: Step S3 includes: When the important spare parts are CCM spare parts or spare parts supervised by the Nuclear Safety Administration, the pre-equipped parts inventory management algorithm is as follows: [Inventory Quantity]≤0; Spare parts that meet the above algorithm conditions are spare parts whose inventory does not meet demand; Step S4 includes: When the above algorithm conditions are met, the inventory warning of Class H spare parts and spare parts supervised by the Nuclear Safety Administration is triggered.

7. The intelligent early warning method for important spare parts inventory of nuclear power plants according to claim 4 is characterized in that: Step S3 includes: When the important spare parts are overhaul spare parts, the overhaul work orders are summarized from the SAP system to determine the total number of spare parts required for the overhaul. The corresponding pre-equipped parts inventory management algorithm is: Inventory quantity - total quantity of spare parts required for overhaul - (order start time of daily version < required quantity corresponding to the latest overhaul version time) - [reorder point (safety stock)] < 0; Spare parts that meet the above algorithm conditions are spare parts whose inventory does not meet demand; Step S4 includes: When the above algorithm conditions are met, an overhaul spare parts inventory warning is triggered.

8. The intelligent early warning method for important spare parts inventory of nuclear power plants according to claim 7 is characterized in that: Step S4 further includes: The overhaul work orders that do not meet the requirements are calculated cyclically in the following way and recorded in the notes: If the demand quantity corresponding to the work order start date of Cn ([Inventory Quantity] - [Reorder Point (Safety Stock)] - (C1 + C2 + C3 + C4 + ... + Cn) - Daily Version) is less than 0 before the work order start time of Cn, then the remark is that the demand is not met; If the demand quantity corresponding to Cn-1: [Inventory Quantity] - [Reorder Point (Safety Stock)] - (C1+C2+C3+C4+…+Cn-1) - Daily Version Work Order Start Date is before the Cn Work Order Start Time < 0, then the remark is that the demand is not met; If the demand quantity corresponding to Cn-2: [Inventory Quantity] - [Reorder Point (Safety Stock)] - (C1+C2+C3+C4+…+Cn-2) - Daily Version Work Order Start Date is before the Cn Work Order Start Time ≥ 0, then the remark is "Demand is met"; Among them, C1, C2, ..., Cn represent the order of overhaul work orders, which are sorted according to the overhaul start time. C1 is the overhaul work order with the earliest order start time, and Cn is the overhaul work order with the latest order start time.

9. The intelligent early warning method for important spare parts inventory of nuclear power plants according to claim 4 is characterized in that: In step S4, it includes: Based on the data that meets the alert criteria, the spare part code is compared with the data generated by the previous trigger. If the values of the [Inventory Quantity], [Reserved Quantity], and [(Reorder Point) Safety Stock] fields for the spare part code change, an alert spare parts list is generated. If there is no change, and the current trigger date - the previous trigger date > the configured number of days, an early warning spare parts list is generated; otherwise, no early warning spare parts list is generated.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which is suitable for being loaded by a processor to execute the steps of the intelligent early warning method for important spare parts inventory of a nuclear power plant as described in any one of claims 1 to 9.

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