Management method and system based on nuclear power production field chemical management inventory storage

Abstract

The invention relates to the technical field of inventory storage, and discloses a management method and system for managing inventory storage based on chemicals in the nuclear power production field, and the method comprises the steps: collecting the characteristic parameters of chemical containers in a storage region; on the basis of cloud computing and big data analysis technologies, an inventory database is updated in real time according to the characteristic parameters, future demand quantity is predicted, and a dynamic replenishment strategy is formulated; triggering a replenishment request according to the dynamic replenishment strategy, and generating a purchase order; the system is in butt joint with a supplier system to seamlessly transmit purchase orders, and chemical warehouse management is achieved. According to the method, the checking efficiency and accuracy are greatly improved, the inventory state is updated in real time, the chemical consumption mode is analyzed, the future trend is predicted, a basis is provided for inventory optimization and resource planning, and the operation cost is reduced. And the automatic replenishment module generates a precise purchase order based on the multi-dimensional parameters, so that inventory shortage or excessive overstock is avoided. Through seamless connection with a supplier system, purchase order transmission, delivery confirmation and logistics information tracking are realized.

Description

Technical Field

[0001] The present invention relates to the field of inventory storage technology, and in particular to a management method and system for inventory storage of chemicals in the field of nuclear power production. Background Art

[0002] With the rapid development of the nuclear power production industry, higher requirements are placed on the efficiency, accuracy and safety of chemical management. The various types of chemicals used in the operation of nuclear power plants are not only diverse, but also have different storage conditions, usage frequencies and safety requirements for each chemical. The traditional manual management model can no longer meet the current refined management needs. Manual inventory is not only time-consuming and labor-intensive, but also prone to errors, resulting in inaccurate inventory information, affecting production efficiency and safe operation. In addition, replenishment decisions that rely on experience judgment often lack scientific basis, which can easily lead to inventory backlogs or shortages, affecting the continuous and stable operation of nuclear power plants.

[0003] The existing nuclear power chemical inventory management methods have problems such as low inventory efficiency, non-real-time inventory information, inaccurate replenishment decisions, and insufficient supply chain coordination, which not only increases operating costs, but may also threaten the safe operation of nuclear power plants due to untimely chemical supply. Therefore, there is an urgent need for a system that can automatically and intelligently manage chemical inventory to achieve fast and accurate inventory, dynamically optimize inventory, scientifically predict demand, and efficiently connect with supplier systems to ensure the stability and response speed of the chemical supply chain. Summary of the invention

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

[0005] Therefore, the technical problem solved by the present invention is that the traditional manual management mode can no longer meet the current refined management needs.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a management method for inventory storage of chemicals in the field of nuclear power production, including: collecting characteristic parameters of chemical containers in the storage area; based on cloud computing and big data analysis technology, updating the inventory database in real time according to the characteristic parameters, predicting future demand, and formulating dynamic replenishment strategies; triggering replenishment requests according to the dynamic replenishment strategy and generating purchase orders; connecting with the supplier system to seamlessly transmit purchase orders to realize chemical storage management.

[0007] As a preferred solution of the management method of inventory storage for chemical management based on the nuclear power production field described in the present invention, the collection of characteristic parameters of chemical containers in the storage area includes automatically identifying and recording the characteristic parameters of chemicals in the storage area through sensors and machine vision recognition embedded in the automated inventory counting device.

[0008] As a preferred solution of the management method of chemical management inventory warehousing based on the nuclear power production field described in the present invention, wherein: the collection of characteristic parameters of chemical containers in the storage area also includes, when an abnormality is detected in the characteristic parameters of the chemical containers, triggering an alarm and notifying the management personnel.

[0009] As a preferred solution of the management method of chemical management inventory storage based on the nuclear power production field described in the present invention, the prediction of future demand includes establishing a prediction model to obtain future chemical demand based on characteristic parameters of chemical containers.

[0010] As a preferred solution of the management method of inventory warehousing for chemical management in the field of nuclear power production described in the present invention, the formulation of a dynamic replenishment strategy includes calculating the safety inventory level of each chemical, establishing an EOQ model to determine the optimal order quantity, and formulating a dynamic replenishment strategy based on future demand and inventory.

[0011] As a preferred solution of the management method of inventory warehousing for chemical management in the field of nuclear power production described in the present invention, the generation of a purchase order includes determining the maximum inventory and the minimum inventory of chemicals according to the dynamic replenishment strategy. When the inventory of chemicals is reduced to the minimum inventory, the replenishment process is immediately triggered to generate a purchase order, and the sum of the purchase quantity and the inventory is less than or equal to the maximum inventory.

[0012] As a preferred solution of the management method of chemical management inventory warehousing based on the nuclear power production field described in the present invention, wherein: the generation of the purchase order also includes obtaining supplier performance data, performing quantitative analysis and qualitative evaluation based on the performance data, combining the results of the quantitative analysis and qualitative evaluation, conducting a comprehensive evaluation of the supplier's performance, sorting the comprehensive evaluation results, and determining the best supplier.

[0013] A management system for chemical management inventory storage in the field of nuclear power production, which adopts any of the methods described in the present invention, wherein: a collection module collects characteristic parameters of chemical containers in a storage area, and triggers an alarm according to abnormal conditions of the characteristic parameters; an analysis module updates an inventory database in real time according to the characteristic parameters, establishes a prediction model to obtain future chemical demand, establishes an EOQ model to determine the optimal order quantity, and formulates a dynamic replenishment strategy based on future demand and inventory; an order module triggers a replenishment request according to the dynamic replenishment strategy, determines the best supplier, and generates a purchase order; and a procurement module connects with the supplier system to seamlessly transmit the purchase order to realize chemical storage management.

[0014] A computer device comprises: a memory and a processor; the memory stores a computer program, comprising: the steps of implementing any one of the methods of the present invention when the processor executes the computer program.

[0015] A computer-readable storage medium stores a computer program, comprising: when the computer program is executed by a processor, the steps of implementing any one of the methods of the present invention are implemented.

[0016] Beneficial effects of the present invention: The present invention greatly improves the accuracy and efficiency of inventory counting through an automated inventory counting device that integrates sensors and machine vision technology, ensuring the real-time and accuracy of inventory data. The intelligent inventory management module can not only update the inventory status in real time, but also deeply analyze the consumption pattern of chemicals, predict future consumption trends, and provide a scientific basis for inventory optimization and resource planning, reduce unnecessary inventory occupation, and reduce operating costs. The automatic replenishment logic module is based on a comprehensive consideration of multi-dimensional parameters, and can automatically generate accurate purchase orders to ensure the timely replenishment of chemicals, avoid production interruptions caused by inventory shortages, and also prevent waste of resources caused by excessive inventory. By seamlessly connecting with the electronic data exchange platform of the supplier system, it realizes the rapid transmission of purchase orders, delivery confirmation, and real-time tracking of logistics information, strengthens information sharing and collaborative operations between upstream and downstream of the supply chain, and improves the response speed and flexibility of the overall supply chain. The management system has greatly improved the intelligence level of nuclear power chemical inventory management, enhanced the resilience of the supply chain, and provided strong support for the safe and efficient operation of nuclear power plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0018] Figure 1 An overall flow chart of a method for managing inventory storage of chemicals in the nuclear power production field provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0020] Example 1, reference Figure 1 , which is an embodiment of the present invention, provides a management method for chemical inventory storage in the nuclear power production field, including:

[0021] S1: Collect characteristic parameters of chemical containers in the storage area.

[0022] Sensors and machine vision recognition are embedded in the automated inventory counting device to automatically identify and record the type, number, current location and inventory status of all chemical containers in the storage area.

[0023] All collected data (weight change, location information, number and type) are integrated through the built-in processor and uploaded to the chemical database for storage.

[0024] The chemical database is used to store information on the physical and chemical properties of chemicals, analyze the storage compatibility between inventory chemicals, divide storage areas according to chemical properties, and ensure that different chemicals are stored at a safe distance.

[0025] It should be noted that the chemical hazard level is based on the toxicity, flammability, corrosiveness and other characteristics of chemicals, which are used to guide the reasonable allocation of storage areas. Automatic calculation and prompting of the safe storage distance that should be maintained between different chemicals simplifies the storage planning process and reduces manual calculation errors and time costs.

[0026] Furthermore, when the system detects any abnormal situation, such as a sharp drop in weight caused by a chemical leak, an abnormal change in the container position, or unreadable label information, an alarm is immediately triggered and relevant personnel are notified to intervene.

[0027] Specifically, the rules for judging the sharp drop in weight caused by chemical leakage are as follows:

[0028] Weight monitoring: Set up a weight monitoring sensor. When the weight value detected by the sensor drops by more than a preset threshold within a certain period of time (for example, a drop of more than 10% within 5 minutes), an alarm is triggered.

[0029] Processing method: When the alarm is triggered, the inventory management module sends a message notification, which is pushed via SMS and APP to immediately notify on-site personnel to respond and handle the situation.

[0030] Rules for judging abnormal changes in container position:

[0031] Position deviation detection: Use the 3D laser scanning module to locate the container and record its coordinates in space. Set a predefined allowable deviation threshold. For example, if the deviation of the container's coordinates in any direction exceeds the set value (such as 5cm), it is considered abnormal. Monitor the continuity of the container's position. If the container's position data is discontinuous or jumps, it may indicate a problem with the position detection system or abnormal movement of the container.

[0032] Processing method: Once a location anomaly is detected, the system immediately triggers an alarm, sends a message notification, and notifies personnel to respond and handle the situation.

[0033] The automated inventory counting device can realize comprehensive automated management of chemical inventories in the nuclear power production field, improve management efficiency, reduce human errors, and at the same time enhance chemical safety management capabilities, providing a solid guarantee for the smooth operation of nuclear power plants.

[0034] Furthermore, the environmental data of the storage area, including temperature and humidity, gas composition, wind speed, etc., is collected through the sensor network. Once any abnormal monitoring data is received, the preset emergency plan is immediately triggered, including but not limited to automatically cutting off the power supply, starting fire-fighting facilities, evacuating personnel, etc., to quickly and effectively control the development of the situation and minimize losses. The automated monitoring and early warning function greatly reduces the burden of human monitoring and reduces security vulnerabilities caused by human negligence. At the same time, through accurate data collection and analysis, the security level of the storage environment can be more scientifically evaluated, guiding the formulation and optimization of security management strategies.

[0035] S2: Based on cloud computing and big data analysis technology, the inventory database is updated in real time according to characteristic parameters, future demand is predicted, and dynamic replenishment strategies are formulated.

[0036] Through the intelligent inventory management module based on cloud computing and big data analysis technology, it receives data from the automated inventory counting device, updates the inventory database in real time, analyzes chemical consumption trends, and predicts future demand.

[0037] Furthermore, statistical methods such as time series analysis and regression analysis are used to deeply mine historical chemical consumption data and identify consumption patterns (such as seasonal fluctuations and cyclical changes). Based on machine learning algorithms (such as ARIMA, random forests, neural networks, etc.), the forecasting model is trained. The model input includes but is not limited to historical consumption, inventory change rate, special event markers (such as maintenance cycles, holiday effects) and other features, and outputs chemical demand forecasts for a certain period of time in the future.

[0038] Calculate safety stock levels for each chemical based on its frequency of use, supply cycle, and historical shortages to ensure production needs can be met even in the event of supply chain disruptions.

[0039] Economic Order Quantity (EOQ) Analysis: Taking into account the procurement cost, storage cost and order processing fee of chemicals, the EOQ model is applied to determine the optimal order quantity to balance the inventory holding cost and ordering cost. Replenishment Strategy Formulation: Combine the forecast results with the inventory status to formulate a dynamic replenishment strategy. For example, for chemicals with high consumption and long supply cycle, replenishment is triggered in advance; for low-consumption chemicals, a low inventory warning threshold is set to reduce capital occupation.

[0040] It should be noted that the EOQ model needs to comprehensively consider dynamic demand forecasts, safety inventory levels, supplier delivery times, inventory holding costs, and risks and expiration processing costs. Specifically:

[0041] Dynamic demand forecasting: Since chemical demand may be affected by multiple factors such as market, seasonality, and production changes, dynamic demand forecasting methods are used in combination with historical data and trend analysis to adjust the EOQ model to more accurately reflect actual demand.

[0042] Safety stock level: Considering the uncertainty of supply cycle and demand fluctuation, the concept of safety stock is introduced in EOQ model to reduce the risk of out-of-stock. The safety stock level can be determined based on service level requirements and historical demand fluctuations.

[0043] Supplier delivery time: For chemicals with long supply cycles, it is necessary to consider the impact of delivery time on inventory levels, and the order cycle in the EOQ model needs to be adjusted to ensure that inventory levels meet production needs.

[0044] Inventory holding costs: The storage costs of chemicals may include storage fees, insurance costs, deterioration losses, etc. According to the characteristics and storage conditions of the chemicals, the holding cost parameters in the EOQ model are adjusted to reflect the actual costs.

[0045] Risk and expiration handling costs: For hazardous chemicals, consider risks and expiration handling costs and adjust the EOQ model to ensure inventory safety and compliance.

[0046] Furthermore, detailed inventory adjustment suggestions are generated based on the analysis results, including replenishment time, quantity and storage optimization suggestions for specific chemicals, which are pushed to decision makers through a visual interface or report form to support quick decision-making. The full chain of automated management from data collection to analysis and prediction, and then to strategic recommendations is realized, which significantly improves the efficiency and accuracy of chemical inventory management in the nuclear power production field, reduces operating costs, and ensures production continuity.

[0047] S3: Trigger replenishment requests based on dynamic replenishment strategies and generate purchase orders.

[0048] The automatic replenishment logic module automatically triggers replenishment requests and generates accurate purchase orders based on multi-dimensional parameters such as inventory levels, safety reserves, chemical consumption rates, and supplier delivery cycles.

[0049] Furthermore, the maximum and minimum inventory quantities of chemicals are determined according to the dynamic replenishment strategy. When the inventory quantity of chemicals drops to the minimum inventory quantity, the replenishment process is immediately triggered to generate a purchase order, and the sum of the purchase quantity and the inventory quantity is less than or equal to the maximum inventory quantity.

[0050] Specifically, supplier performance evaluation indicators include three aspects: delivery, cost and service. Among them: delivery is to evaluate the supplier's delivery punctuality and delivery cycle time; cost is to analyze the supplier's price competitiveness and cost-saving ability; service is to examine the supplier's response speed and after-sales service quality.

[0051] The supplier performance evaluation steps include:

[0052] 1. Set evaluation indicators and scores for each indicator in three aspects, such as delivery performance (30%), on-time delivery rate (50%), and delivery cycle time (50%).

[0053] 2. Quantitative analysis and qualitative evaluation

[0054] Quantitative analysis: Use the system database to extract suppliers' business data, such as total supply amount, advance payment ratio, quality objection records, after-sales service records, etc.

[0055] Qualitative evaluation: Collect information on non-quantitative indicators such as suppliers' cooperation attitude and response speed through questionnaires and interviews.

[0056] 3. Comprehensive evaluation

[0057] Combine the results of quantitative analysis and qualitative evaluation to comprehensively evaluate the performance of suppliers. For example, a comprehensive scoring method based on a percentage system can be used. The quantitative data of the evaluation items are automatically extracted from the system, and the qualitative data are manually evaluated, and finally the evaluation results are statistically generated. Suppliers are sorted from high to low according to their performance scores to determine the best supplier.

[0058] Furthermore, the actual inventory level of each chemical is automatically monitored. Once the inventory drops to the preset reorder point (minimum safety stock), the replenishment process is immediately triggered to avoid production interruptions caused by inventory shortages, while also preventing excessive inventory from taking up valuable funds and storage space.

[0059] Based on comprehensive cost analysis (including procurement cost, storage cost, order processing cost, etc.), determine the optimal quantity for each order, reduce the additional costs incurred by frequent ordering, and at the same time ensure that inventory holding costs remain within a reasonable range, effectively reducing total operating costs.

[0060] The automatic replenishment logic takes into account the supplier's delivery cycle, combines it with the actual consumption rate forecast, and plans the procurement plan in advance, reducing the need for emergency procurement and enhancing the stability and resilience of the supply chain. In addition, through the continuous evaluation of the supplier performance evaluation unit, suppliers with high cost performance, good service and timely delivery are selected to further improve the response speed and reliability of the supply chain.

[0061] S4: Connect with supplier systems to seamlessly transfer purchase orders and realize chemical warehouse management.

[0062] Connect the electronic data interchange platform with the supplier system to achieve seamless delivery of purchase orders, while receiving shipment confirmation and logistics tracking information from suppliers.

[0063] Furthermore, a purchase order format that complies with industry standards is generated based on the purchase order, and the transaction data is encrypted during transmission. After the order is sent to the supplier, the supplier's electronic confirmation receipt is received and processed, and the system is connected with the third-party logistics system to track the status of cargo transportation in real time.

[0064] Standardized orders ensure that purchase order information is automatically generated in accordance with industry standard formats, reducing manual compilation errors, accelerating the order processing process, enabling seamless connection between the systems of both parties, and improving transaction efficiency and data accuracy.

[0065] Encrypted communication encrypts all transaction data, effectively preventing the risk of data leakage during transmission, complying with data protection regulations, improving the information security level of each link in the supply chain, and enhancing trust between partners.

[0066] The automatic confirmation and feedback mechanism enables the supplier's delivery confirmation to be automatically received and processed by the system, reducing the manual review steps under traditional methods, lowering operating costs, while speeding up order confirmation and improving supply chain responsiveness.

[0067] The method of the present invention greatly improves the accuracy and efficiency of inventory counting through an automated inventory counting device that integrates sensors and machine vision technology, ensures the real-time and accuracy of inventory data, and the intelligent inventory management module can not only update the inventory status in real time, but also deeply analyze the consumption pattern of chemicals, predict future consumption trends, provide a scientific basis for inventory optimization and resource planning, reduce unnecessary inventory occupation, and reduce operating costs. The automatic replenishment logic module is based on a comprehensive consideration of multi-dimensional parameters, and can automatically generate accurate purchase orders to ensure the timely replenishment of chemicals, avoid production interruptions caused by inventory shortages, and also prevent waste of resources caused by excessive inventory. By seamlessly connecting with the electronic data exchange platform of the supplier system, it realizes the rapid transmission of purchase orders, delivery confirmation, and real-time tracking of logistics information, strengthens information sharing and collaborative operations between upstream and downstream of the supply chain, and improves the response speed and flexibility of the overall supply chain. The management system has greatly improved the intelligence level of nuclear power chemical inventory management, enhanced the resilience of the supply chain, and provided strong support for the safe and efficient operation of nuclear power plants.

[0068] Embodiment 2: In an exemplary embodiment, a device for collecting characteristic parameters of chemical containers in a storage area is provided.

[0069] The automated inventory counting device includes a weight sensor, a 3D laser scanning module and an RFID tag reader.

[0070] Among them, the weight sensor is used to detect the weight changes of chemicals in the container in real time; the 3D laser scanning module is used for the three-dimensional spatial positioning of the container position and arrangement; the RFID tag reader is used to identify the electronic tag on the container and obtain the type and number information.

[0071] The automated inventory counting device is designed as a highly integrated intelligent device that combines multiple technologies such as weight sensors, 3D laser scanning modules and RFID tag readers to achieve comprehensive and high-precision management of chemical inventories in the nuclear power production field. The specific implementation details are as follows:

[0072] Weight sensor application: Install a high-precision weight sensor under or inside each chemical container to monitor the weight changes of the chemicals in the container in real time. When the weight of the chemicals drops to the preset threshold due to use, the system automatically issues a replenishment warning to ensure that inventory is always maintained at a safe level.

[0073] 3D laser scanning module deployment: Using 3D laser scanning technology, a rotating laser scanning head is installed on the top of the device. The laser beam emitted by the scanning head can quickly cover the entire storage area, calculate the precise distance between containers through reflection time, and build a three-dimensional spatial model of the storage area. This model can not only determine the precise position (X, Y, Z coordinates) of each container, but also identify the arrangement changes of the containers, providing a basis for subsequent automatic navigation and rapid positioning.

[0074] RFID tag reader integration: Each chemical container is affixed with a unique RFID (radio frequency identification) tag, which contains key information such as chemical type and number. The automated inventory counting device is equipped with a high-performance RFID reader that automatically reads these tag information through wireless signals.

[0075] Example 3: In an exemplary embodiment, a management system for chemical management inventory warehousing based on the nuclear power production field is also provided, including a collection module, an analysis module, an order module and a procurement module.

[0076] Among them, the collection module collects characteristic parameters of chemical containers in the storage area and triggers an alarm based on abnormal conditions of the characteristic parameters.

[0077] The analysis module updates the inventory database in real time based on characteristic parameters, establishes a forecasting model to obtain future chemical demand, establishes an EOQ model to determine the optimal order quantity, and formulates a dynamic replenishment strategy based on future demand and inventory.

[0078] Furthermore, the analysis module includes: a data processing module for quickly cleaning and integrating the collected inventory data; a trend analysis module for predicting chemical usage trends based on historical data and obtaining prediction results; and an inventory optimization module for providing optimal inventory level recommendations based on prediction results.

[0079] The analysis module seamlessly connects with the automated inventory device through the API interface, and receives raw data including container type, number, location, weight and inventory status in real time. Statistical methods such as time series analysis and regression analysis are used to deeply mine historical chemical consumption data and identify consumption patterns (such as seasonal fluctuations and cyclical changes).

[0080] The order module triggers replenishment requests based on dynamic replenishment strategies, determines the best supplier, and generates purchase orders.

[0081] Furthermore, the order module includes: a minimum and maximum inventory strategy module, which is used to set the upper and lower safety limits of each chemical and automatically trigger replenishment; an economic order quantity calculation unit, which determines the optimal order quantity based on cost analysis; and a supplier performance evaluation unit, which considers the supplier's delivery time, price and service quality to select the best supplier.

[0082] The procurement module connects with the supplier system to seamlessly transmit purchase orders and realize chemical warehouse management.

[0083] Furthermore, the procurement module includes a standardized message generator for generating purchase order formats that meet industry standards; an encrypted communication module for encrypting transaction data during transmission; an automatic confirmation and feedback mechanism for receiving and processing electronic confirmation receipts from suppliers; and a logistics tracking integration interface for connecting to third-party logistics systems to track the status of cargo transportation in real time.

[0084] It also includes: a user rights management module, including: a role definition and allocation system, which is used to assign access rights to employees based on their job responsibilities; an operation log recording module, which is used to track and record all operations; and a dynamic rights adjustment module, which is used to automatically adjust access rights based on changes in employee positions.

[0085] Through the role definition and allocation system, each employee can only access the systems and data related to his / her job responsibilities, which effectively limits unauthorized access and reduces the risk of information leakage and misoperation. The dynamic permission adjustment module can automatically adjust the access rights of employees according to changes in their positions, ensuring that the employee's permissions are always consistent with their current responsibilities, avoiding the potential risks caused by expired permissions. The operation log recording module records the login and operation behaviors of all users in detail, providing a reliable basis for security audits. When a security incident occurs or a specific operation needs to be investigated, the responsible person can be quickly traced back to facilitate the location and resolution of the problem, and it can also serve as important evidence for internal supervision and compliance review.

[0086] The management system for chemical management inventory storage in the nuclear power production field also includes:

[0087] Establish reporting and decision support modules, including: a report generator, which is used to generate various inventory summary, consumption analysis, and replenishment plan reports according to management needs; a data visualization module, which is used to intuitively display inventory status, replenishment progress, and cost-benefit analysis in the form of charts and dashboards; a performance indicator monitoring module, which is used to track inventory turnover rate, replenishment accuracy, and key inventory cost indicators; a decision support recommendation module, which provides managers with strategic suggestions for inventory optimization and cost control based on current inventory status and market trends.

[0088] Reporting and decision support systems, including: artificial intelligence forecasting module, used to use historical sales data and market dynamics to predict and analyze future inventory demand; multi-channel inventory synchronization module, used to ensure real-time consistency of online and offline inventory information, and support cross-platform and cross-warehouse inventory allocation and monitoring; abnormal monitoring and alarm module, used to detect abnormal inventory levels and issue instant alarms through email, SMS or system notifications.

[0089] If the above functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0090] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0091] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0092] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0093] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A management method for chemical inventory management in the field of nuclear power production, characterized in that: include: Collect characteristic parameters of chemical containers in the storage area; Based on cloud computing and big data analysis technology, the inventory database is updated in real time according to characteristic parameters, future demand is predicted, and dynamic replenishment strategies are formulated; Trigger replenishment requests based on dynamic replenishment strategies and generate purchase orders; Connect with supplier systems to seamlessly transfer purchase orders and realize chemical warehouse management.

2. The method for managing inventory storage of chemicals in the nuclear power production field according to claim 1, characterized in that: The collecting of characteristic parameters of chemical containers in the storage area includes automatically identifying and recording the characteristic parameters of chemicals in the storage area through sensors embedded in the automated inventory device and machine vision recognition.

3. The method for managing inventory storage of chemicals in the nuclear power production field according to claim 2, characterized in that: The collecting of characteristic parameters of chemical containers in the storage area further includes triggering an alarm and notifying a management staff member when an abnormality is detected in the characteristic parameters of the chemical containers.

4. The method for managing inventory storage of chemicals in the nuclear power production field according to claim 3, characterized in that: The predicting of future demand includes establishing a prediction model to obtain future chemical demand according to characteristic parameters of chemical containers.

5. The method for managing inventory storage of chemicals in the nuclear power production field according to claim 4, characterized in that: The formulation of the dynamic replenishment strategy includes calculating the safety inventory level of each chemical, establishing an EOQ model to determine the optimal order quantity, and formulating the dynamic replenishment strategy in combination with future demand and inventory.

6. The method for managing inventory storage of chemicals in the nuclear power production field according to claim 5, characterized in that: The generating of the purchase order includes determining the maximum inventory quantity and the minimum inventory quantity of the chemical according to the dynamic replenishment strategy. When the inventory quantity of the chemical drops to the minimum inventory quantity, the replenishment process is immediately triggered to generate the purchase order. The sum of the purchase quantity and the inventory quantity is less than or equal to the maximum inventory quantity.

7. The method for managing inventory storage of chemicals in the nuclear power production field according to claim 6, characterized in that: The generating of the purchase order also includes obtaining supplier performance data, performing quantitative analysis and qualitative evaluation based on the performance data, performing a comprehensive evaluation of the supplier's performance based on the results of the quantitative analysis and qualitative evaluation, ranking the comprehensive evaluation results, and determining the best supplier.

8. A management system for chemical management inventory storage in the nuclear power production field using any of the methods of claims 1 to 7, characterized in that: include, A collection module collects characteristic parameters of chemical containers in the storage area and triggers an alarm based on abnormal conditions of the characteristic parameters; The analysis module updates the inventory database in real time based on characteristic parameters, establishes a forecasting model to obtain future chemical demand, establishes an EOQ model to determine the optimal order quantity, and formulates a dynamic replenishment strategy based on future demand and inventory; The order module triggers replenishment requests based on dynamic replenishment strategies, determines the best supplier, and generates purchase orders; The procurement module connects with the supplier system to seamlessly transmit purchase orders and realize chemical warehouse management.

9. A computer device comprising: Memory and processor; The memory stores a computer program, characterized in that when the processor executes the computer program, the steps of the management method for inventory storage of chemicals based on the nuclear power production field as described in any one of claims 1-7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of the management method for inventory storage of chemicals based on the nuclear power production field as described in any one of claims 1-7 are implemented.

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