Method, device and equipment for automatically supervising raw materials based on industrial Internet of Things
By acquiring raw material procurement information and calculating critical reserve correlation factors, the critical reserve level was adjusted, solving the problem of reserve imbalance in raw material management, realizing scientific supervision of raw materials, and optimizing enterprise production and cost control.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-08
- Publication Date
- 2026-04-03
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In existing technologies, managing raw materials based on fixed critical reserves can easily lead to reserve imbalances, resulting in raw material stockpiling or insufficient supply, which affects the company's operating costs and efficiency.
By acquiring procurement information for each type of raw material, calculating the cost ratio and critical reserve correlation factor, adjusting the critical reserve, and monitoring and generating supply shortage alerts in real time, we can avoid excessive or insufficient reserves.
This effectively avoids situations where raw material supply is insufficient or reserves are excessive, optimizes the company's production management, and reduces operating costs and inventory risks.
Smart Images
Figure CN121788025A_ABST
Abstract
Description
Technical Field
[0001] The embodiments of the present invention generally relate to the field of automatic raw material monitoring technology, and particularly to methods, apparatus and equipment for automatic raw material monitoring based on the Industrial Internet of Things. Background Technology
[0002] In today's increasingly competitive market, building a sound and scientific internal supervision system has become a core requirement for enterprises to achieve sustainable development, a need that is particularly prominent for manufacturing companies. Manufacturing companies, whose main business is production, inevitably involve the storage and turnover of large amounts of raw materials in their production processes, often requiring multiple production workshops and warehouse spaces, leading to continuously rising costs related to space and management. In this context, if a company cannot effectively supervise raw materials and related production processes, it will directly disrupt production order, thereby seriously affecting the company's normal operation and the foundation for its development.
[0003] Currently, a common method for monitoring raw material storage workshops is to set a constant critical reserve level for raw materials. When the actual inventory of raw materials in the workshop falls below this critical level, the system automatically triggers a procurement alert. However, in actual production and operation, raw material reserves are dynamically affected by various external factors, such as the stability of raw material procurement channels, fluctuations in procurement cycles, the supply capacity of the upstream supply chain, and changes in market demand. Relying solely on a fixed critical reserve level for raw material management and procurement arrangements can easily lead to reserve imbalances. Excessive reserves result in raw material stockpiling, which not only ties up significant capital and warehousing resources but also increases inventory management costs and the risk of raw material loss, directly raising the company's operating costs. Conversely, insufficient reserves lead to insufficient raw material supply, directly delaying material preparation and subsequent production progress, thus affecting order delivery efficiency and ultimately negatively impacting the company's economic benefits. Summary of the Invention
[0004] To address the above issues, this invention adjusts the critical reserve level based on the number of procurement channels, average purchase price per unit, and average procurement time interval for each type of raw material, and monitors the raw materials based on the adjusted critical reserve level. This effectively prevents situations of insufficient raw material supply or excessive reserves, thereby avoiding any impact on the company's profits.
[0005] According to embodiments of the present invention, a method, apparatus, and equipment for automatic monitoring of raw materials based on the Industrial Internet of Things are provided.
[0006] In a first aspect of the invention, a method for automated monitoring of raw materials based on the Industrial Internet of Things (IIoT) is provided. The method includes: Step S01: Obtain the types of each raw material and the corresponding procurement information for each type of raw material; Step S02: Calculate the cost percentage and critical reserve correlation factor for each type of raw material; Step S03: Obtain the first critical reserve quantity for each type of raw material, and calculate the second critical reserve quantity for each type of raw material based on the critical reserve quantity correlation factor and the first critical reserve quantity; Step S04: Obtain the real-time reserve quantity for each type of raw material, and determine whether there is a supply shortage for the corresponding type of raw material based on the real-time reserve quantity and the second critical reserve quantity. If there is a supply shortage, generate a prompt message and send it to the raw material procurement management platform.
[0007] Further, the specific steps of step S01 are as follows: obtain the types of raw materials that are expected to be stacked in the raw material stacking workshop, retrieve the previous purchase list corresponding to each type of raw material from the raw material procurement management platform, and obtain the procurement information corresponding to each type of raw material from the previous purchase list. The procurement information includes: the number of procurement channels, the average purchase price per item, and the average procurement time interval.
[0008] Further, the specific steps for calculating the cost percentage corresponding to each type of raw material in step S02 are as follows: obtain the type of material used for each type of raw material in preparation, and obtain the average selling price per unit corresponding to each type of material from the sales management system; and calculate the cost percentage corresponding to each type of raw material based on the average purchase price per unit corresponding to each type of raw material and the average selling price per unit corresponding to each type of material used for preparation. The calculation formula is as follows: , in, Indicates the first The average purchase price per item for each type of raw material Indicates the first The raw material categories are used to formulate the average selling price per unit for each type of material.
[0009] Furthermore, the critical reserve correlation factor mentioned in step S02 The calculation formula is: , in, Indicates the first The critical reserve level correlation factor for each type of raw material Indicates the first The number of procurement channels corresponding to each type of raw material The benchmark value representing the number of procurement channels. This represents the first weight corresponding to the number of procurement channels. Indicates the first The average procurement time interval for each type of raw material. The benchmark value representing the average procurement time interval. This represents the second weight corresponding to the average procurement time interval. This represents the third weight corresponding to the cost percentage.
[0010] Furthermore, the specific steps for obtaining the first critical reserve quantity corresponding to each type of raw material in step S03 are as follows: Step S031: Within a preset time range, obtain the corresponding shipment quantity of each material used for preparation for each type of raw material, and calculate the average daily shipment quantity of each material used for preparation for each type of raw material based on the shipment quantity. Step S032: Obtain the required quantity of each raw material in the preparation process, and calculate the average quantity of each raw material to obtain the average required quantity of each raw material. Step S033: Calculate the average daily consumption of each raw material type based on the average daily output and average required quantity for each material. The calculation formula is as follows: , in, Indicates the first Each raw material type corresponds to the average daily shipment volume of each material. Indicates the first The average quantity required for preparation for each type of raw material. Indicates the first Average daily consumption of each type of raw material; Step S034: Select the minimum time interval from the procurement time intervals of each previous procurement list corresponding to each raw material type as the expedited procurement time interval for the corresponding raw material type. Step S035: Calculate the corresponding safety stock level for each raw material type based on the expedited procurement time interval and average daily consumption. The calculation formula is as follows: , in, Indicates the first The corresponding expedited procurement time intervals for each type of raw material. Indicates the first The amount of insurance reserves corresponding to each type of raw material.
[0011] Step S036: Obtain the corresponding first critical reserve for each raw material based on the safety reserve for each type of raw material. The calculation formula is as follows: , in, Indicates the first The first critical reserve level for each type of raw material. Indicates the first The average procurement time interval for each type of raw material.
[0012] Furthermore, the formula for calculating the second critical reserve quantity for each type of raw material mentioned in step S03 is as follows: , in, Indicates the first The first critical reserve level for each type of raw material. Indicates the first The second critical reserve level corresponding to each type of raw material. Indicates the first The critical reserve quantity correlation factor for each type of raw material.
[0013] Further, the specific steps of step S04 are as follows: compare the real-time reserve quantity corresponding to each type of raw material with the second critical reserve quantity. If the real-time reserve quantity is less than the second critical reserve quantity, it is determined that the supply of the corresponding type of raw material is insufficient, and a corresponding prompt message is generated and sent to the raw material procurement management platform. The prompt message includes the type of raw material with insufficient supply and the required procurement quantity.
[0014] In a second aspect of the invention, an apparatus for automated monitoring of raw materials based on the Industrial Internet of Things (IIoT) is provided. The apparatus includes: Raw material information acquisition module: used to acquire the types of each raw material and the corresponding procurement information for each type of raw material; Correlation factor calculation module: used to calculate the cost ratio and critical reserve quantity correlation factor for each type of raw material; Critical reserve acquisition module: used to acquire the first critical reserve for each type of raw material, and calculate the second critical reserve for each type of raw material based on the critical reserve correlation factor and the first critical reserve; Supply shortage judgment module: It is used to obtain the real-time reserve quantity of each raw material type, and judge whether there is a supply shortage of the corresponding raw material type based on the real-time reserve quantity and the second critical reserve quantity. If the supply is insufficient, a prompt message is generated and sent to the raw material procurement management platform.
[0015] In a third aspect of the invention, an electronic device is provided. The electronic device includes a memory and a processor, the memory storing a computer program, the processor executing the program to implement the method according to a first aspect of the invention.
[0016] In a fourth aspect of the invention, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the method according to a first aspect of the invention.
[0017] This invention adjusts the critical reserve level based on the number of procurement channels, average purchase price per unit, and average procurement time interval for each type of raw material, and monitors the raw materials based on the adjusted critical reserve level. This effectively avoids situations where there is insufficient supply or excessive reserves of raw materials, thereby preventing any impact on the company's profits.
[0018] It should be understood that the description in the Summary of the Invention is not intended to limit the key or essential features of the embodiments of the present invention, nor is it intended to restrict the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description
[0019] The above and other features, advantages, and aspects of the various embodiments of the present invention will become more apparent from the accompanying drawings and the following detailed description. Wherein: Figure 1 A flowchart illustrating a method for automated monitoring of raw materials based on the Industrial Internet of Things (IIoT) according to an embodiment of the present invention is shown. Figure 2 A block diagram of an automated raw material monitoring device based on the Industrial Internet of Things (IIoT) according to an embodiment of the present invention is shown. Figure 3 A schematic diagram of an automated raw material monitoring device based on an industrial Internet of Things (IoT) according to an embodiment of the present invention is shown. Detailed Implementation
[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0021] According to embodiments of the present invention, a method, apparatus, and equipment for automatic monitoring of raw materials based on the Industrial Internet of Things are proposed. By adjusting the critical reserve quantity according to the number of procurement channels, average purchase price per unit, and average procurement time interval for each type of raw material, and monitoring the raw materials according to the adjusted critical reserve quantity, the situation of insufficient supply or excessive reserves of raw materials can be effectively avoided, thereby avoiding the impact on the company's profits.
[0022] The principles and spirit of the present invention will be explained in detail below with reference to several representative embodiments.
[0023] Figure 1 This is a schematic flowchart of a method for automatic monitoring of raw materials based on the Industrial Internet of Things (IIoT) according to an embodiment of the present invention. The method includes: Step S01: Obtain the types of each raw material and the corresponding procurement information for each type of raw material.
[0024] Step S02: Calculate the cost percentage and critical reserve correlation factor for each type of raw material.
[0025] Step S03: Obtain the first critical reserve quantity for each type of raw material, and calculate the second critical reserve quantity for each type of raw material based on the critical reserve quantity correlation factor and the first critical reserve quantity.
[0026] Step S04: Obtain the real-time reserve quantity for each type of raw material, and determine whether there is a supply shortage for the corresponding type of raw material based on the real-time reserve quantity and the second critical reserve quantity. If there is a supply shortage, generate a prompt message and send it to the raw material procurement management platform.
[0027] It should be noted that although the operation of the method of the present invention has been described in a specific order in the above embodiments and figures, this does not require or imply that the operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.
[0028] To provide a clearer explanation of the above-mentioned method for automatic monitoring of raw materials based on the Industrial Internet of Things, a specific embodiment will be used for illustration below. However, it is worth noting that this embodiment is only for better illustrating the present invention and does not constitute an improper limitation of the present invention.
[0029] The following example will further illustrate the method of automatic monitoring of raw materials based on the Industrial Internet of Things: Step S01: Obtain the types of each raw material and the corresponding procurement information for each type of raw material.
[0030] Specifically, the system obtains the types of raw materials that are expected to be stored in the raw material storage workshop, retrieves the previous purchase lists corresponding to each type of raw material from the raw material procurement management platform, and obtains the procurement information corresponding to each type of raw material from the previous purchase lists.
[0031] The raw material procurement management platform can be a traditional procurement management platform. After successful identity verification, users can log in to the raw material procurement management platform and retrieve the previous procurement list for each type of raw material.
[0032] The procurement list includes procurement information for each type of raw material.
[0033] The procurement information includes: the number of procurement channels, the average procurement price per item, and the average procurement time interval.
[0034] In this embodiment, the raw materials include flour and wheat flour. The procurement information for flour includes: 2 procurement channels, an average purchase price of 10 yuan / jin per unit, and an average procurement time interval of 3 days. The procurement information for wheat flour includes: 3 procurement channels, an average purchase price of 8 yuan / jin per unit, and an average procurement time interval of 4 days.
[0035] Step S02: Calculate the cost percentage and critical reserve correlation factor for each type of raw material.
[0036] Specifically, the system obtains the types of materials used for each type of raw material, and retrieves the average selling price per unit for each type of material from the sales management system. Based on the average purchase price per unit for each type of raw material and the average selling price per unit for each type of material used for each type of raw material, the system calculates the cost percentage for each type of raw material.
[0037] The sales management system can adopt a traditional shipment management system. This system records detailed information about the sale of each type of material. By retrieving this detailed information, the selling price per item for each type of material can be obtained. Then, an average is calculated based on the quantity of each material type and the selling price per item for each type of material. That is, the sum of the selling prices per item for each type of material is divided by the quantity of each material type to obtain the average selling price per item for each type of material used in the preparation of each raw material.
[0038] Cost percentage for each type of raw material The calculation formula is: , in, Indicates the first The average purchase price per item for each type of raw material Indicates the first The raw material categories are used to formulate the average selling price per unit for each type of material.
[0039] The critical reserve correlation factor for each raw material type is calculated based on the number of procurement channels, average procurement time interval, and cost percentage for each type of raw material. The calculation formula is: , in, Indicates the first The critical reserve level correlation factor for each type of raw material Indicates the first The number of procurement channels corresponding to each type of raw material The benchmark value representing the number of procurement channels. This represents the first weight corresponding to the number of procurement channels. Indicates the first The average procurement time interval for each type of raw material. The benchmark value representing the average procurement time interval. This represents the second weight corresponding to the average procurement time interval. This represents the third weight corresponding to the cost percentage.
[0040] In this embodiment, flour is used to prepare two types of materials: bread and cake. The average selling price of each piece of bread is 30 yuan, and the average selling price of each piece of cake is 40 yuan. The average selling price of each piece of the two types of materials is (30+40) / 2=35 yuan.
[0041] Wheat flour is used to make two types of ingredients: steamed buns and noodles. The average selling price of each steamed bun is 15 yuan, and the average selling price of each noodle is 20 yuan. The average selling price of each of the two types of ingredients is (15+20) / 2=17.5 yuan.
[0042] Cost breakdown by component: Flour: Wheat flour: γ = 8 / 17.5 ≈ 0.457.
[0043] Setting benchmark values and weights: Benchmark value for the number of procurement channels Average procurement time interval benchmark Heaven, first weight Second weight Third weight .
[0044] Calculate the critical reserve correlation factor for each type of raw material: flour , wheat flour: .
[0045] Step S03: Obtain the first critical reserve quantity for each type of raw material, and calculate the second critical reserve quantity for each type of raw material based on the critical reserve quantity correlation factor and the first critical reserve quantity.
[0046] Specifically, the steps for obtaining the first critical reserve quantity for each type of raw material are as follows: Step S031: Within a preset time range, obtain the corresponding shipment quantity of each material used for preparation for each type of raw material, and calculate the average daily shipment quantity of each material used for preparation for each type of raw material based on the shipment quantity.
[0047] First, the total output of each material used for preparation for each raw material type is calculated within a preset time range. Then, the total output of each material used for preparation for each raw material type within the preset time range is divided by the quantity of each material type to obtain the average daily output of each material used for preparation for each raw material type. The preset time range can be selected daily according to actual conditions.
[0048] Step S032: Obtain the required quantity of each raw material in the preparation process, and calculate the average quantity of each raw material to obtain the average required quantity of each raw material.
[0049] Step S033: Calculate the average daily consumption of each raw material type based on the average daily shipment volume of each material and the average quantity required for preparation.
[0050] The formula for calculating the average daily consumption of each type of raw material is as follows: , in, Indicates the first Each raw material type corresponds to the average daily shipment volume of each material. Indicates the first The average quantity required for preparation for each type of raw material. Indicates the first Average daily consumption of each type of raw material.
[0051] Step S034: Select the minimum time interval from the procurement time intervals of each previous procurement list corresponding to each raw material type as the expedited procurement time interval for the corresponding raw material type.
[0052] Step S035: Calculate the corresponding safety stock level for each type of raw material based on the expedited procurement time interval and average daily consumption for each type of raw material.
[0053] The formula for calculating the safety stock level for each type of raw material is as follows: , in, Indicates the first The corresponding expedited procurement time intervals for each type of raw material. Indicates the first The amount of insurance reserves corresponding to each type of raw material.
[0054] Step S036: Obtain the corresponding first critical reserve for each raw material based on the safety reserve for each type of raw material.
[0055] The formula for calculating the first critical reserve for each type of raw material is as follows: , in, Indicates the first The first critical reserve level for each type of raw material. Indicates the first The average procurement time interval for each type of raw material.
[0056] The formula for calculating the second critical reserve for each type of raw material is as follows: , in, Indicates the first The first critical reserve level for each type of raw material. Indicates the first The second critical reserve level corresponding to each type of raw material. Indicates the first The critical reserve quantity correlation factor for each type of raw material.
[0057] In this embodiment, a preset time range of 30 days is set, and the shipment data is retrieved: The flour-based bread production volume is 300 pieces in 30 days, and the cake production volume is 240 pieces in 30 days. The average daily production volume is (300+240) / 30=18 pieces / day. The wheat flour-based steamed buns produced 600 units in 30 days, and the noodles produced 450 units in 30 days. The average daily output is (600 + 450) / 30 = 35 units / day.
[0058] Calculate the average quantity required for preparation: Flour: 0.5 catties is needed to make 1 loaf of bread and 0.8 catties is needed to make 1 cake. The average amount needed is (0.5 + 0.8) / 2 = 0.65 catties / loaf. Wheat flour: 0.3 jin is needed to make 1 steamed bun and 0.4 jin is needed to make 1 noodle. The average amount needed is (0.3 + 0.4) / 2 = 0.35 jin / batch.
[0059] Calculate the average daily consumption: Flour: catties / day, wheat flour: Jin / day.
[0060] Select the shortest time interval from previous procurement lists: The usual intervals for purchasing flour are 3 days, 4 days, and 2 days; the interval for expedited purchasing is 2 days. The usual procurement intervals for wheat flour are 4 days, 3 days, and 5 days, while the expedited procurement interval is 3 days.
[0061] Calculating safety reserves: Flour: Safety Reserves jin (500g), wheat flour: safety reserve catty.
[0062] Calculate the first critical reserve level: Flour: m jin, wheat flour: m jin.
[0063] Calculate the second critical reserve: Flour: 46 jin (approximately 23 catties) of wheat flour: 96 jin (approximately 43 catties).
[0064] Step S04: Obtain the real-time reserve quantity for each type of raw material, and determine whether there is a supply shortage for the corresponding type of raw material based on the real-time reserve quantity and the second critical reserve quantity. If there is a supply shortage, generate a prompt message and send it to the raw material procurement management platform.
[0065] As one possible implementation, detection equipment, such as a camera, installed in the raw material storage workshop can be used to capture images of the target inside the workshop in real time. The images can then be analyzed to detect the real-time reserve of each type of raw material stored in the workshop.
[0066] As another possible implementation, the system can retrieve the raw material storage records and raw material usage records in the raw material storage workshop to obtain the real-time reserve quantity corresponding to each type of raw material stored in the raw material storage workshop.
[0067] Specifically, the real-time reserve quantity for each type of raw material is compared with the second critical reserve quantity. If the real-time reserve quantity is less than the second critical reserve quantity, it is determined that the supply of the corresponding raw material type is insufficient, and a corresponding prompt message is generated and sent to the raw material procurement management platform to remind the procurement department to make purchases. The prompt message includes the types of raw materials that are in short supply.
[0068] Therefore, the critical reserve level can be adjusted according to the number of procurement channels, average purchase price per unit, and average procurement time interval for each type of raw material, and the raw materials can be monitored based on the adjusted critical reserve level. This can effectively avoid situations where there is insufficient supply or excessive reserves of raw materials, thereby avoiding any impact on the company's profits.
[0069] In another embodiment of the present invention, the prompt information may also include the types of raw materials that are in short supply and the required purchase quantity. That is, when it is determined that the corresponding types of raw materials are in short supply, the types of raw materials that are in short supply and the required purchase quantity can be sent to the raw material procurement management platform at the same time.
[0070] Obtaining the required procurement quantity for raw materials in short supply may specifically include the following steps: Step S041: Obtain the average daily consumption of the raw materials with insufficient supply based on the types of raw materials with insufficient supply.
[0071] Step S042: Obtain the preparation time of each material prepared for the raw material types with insufficient supply, and calculate the average value based on the preparation time of each material prepared for the raw material types with insufficient supply and the quantity of each material type. That is, divide the total preparation time by the quantity of each material type to obtain the average preparation time corresponding to each material prepared for the raw material types with insufficient supply.
[0072] Step S043: Multiply the average daily consumption of the raw material type with insufficient supply by the average preparation time of each material prepared for the raw material type with insufficient supply to obtain the required purchase quantity of the raw material type with insufficient supply.
[0073] Therefore, when it is determined that the supply of the corresponding raw materials is insufficient, the purchasing department can not only be notified to make timely purchases, but also the required purchase quantity can be accurately provided.
[0074] In this embodiment, the real-time reserve quantity is obtained through the inventory management system: the current reserve quantity of flour is 40 jin and the current reserve quantity of wheat flour is 100 jin. Flour: 40 jin < 46 jin, which is determined to be insufficient supply. Wheat flour: 100 jin > 96 jin, which is determined to be sufficient supply.
[0075] Regarding the flour shortage: Given that the average daily flour consumption is 11.7 jin / day, the bread preparation time is 2 hours, the cake preparation time is 3 hours, the average preparation time is (2+3) / 2=2.5 hours=0.104 days, the required purchase quantity is = average daily consumption × average preparation time = 11.7 × 0.104≈1.22 jin (rounded to 2 jin according to actual purchase needs).
[0076] A notification was sent to the raw material procurement management platform: The current flour reserve is 40 jin, which is lower than the second critical reserve of 46 jin. The supply is insufficient. It is recommended to purchase 2 jin to ensure production needs.
[0077] In summary, the automatic raw material monitoring method based on the Industrial Internet of Things according to embodiments of the present invention obtains the types of raw materials expected to be stored in the raw material storage workshop, retrieves the previous purchase lists corresponding to each type of raw material from the raw material procurement management platform, and obtains the procurement information corresponding to each type of raw material from the previous purchase lists; wherein, the procurement information includes: the number of procurement channels, the average purchase price per unit, and the average purchase time interval; obtains the type of material used for preparation of each type of raw material; obtains the average selling price per unit corresponding to each type of material from the sales management system; and calculates the cost corresponding to each type of raw material based on the average purchase price per unit corresponding to each type of raw material and the average selling price per unit corresponding to each type of material used for preparation of each type of raw material. This method calculates the critical reserve correlation factor for each raw material type based on the number of procurement channels, average procurement time interval, and cost percentage. It then obtains the first critical reserve for each raw material type and the second critical reserve based on the critical reserve correlation factor and the first critical reserve. Real-time monitoring of the reserve for each raw material type in the storage workshop is conducted using detection equipment. Based on the real-time and second critical reserves, the method determines whether there is a supply shortage for the corresponding raw material type and generates and sends a notification to the raw material procurement management platform when a shortage is detected. This allows for adjusting the critical reserve based on the number of procurement channels, average purchase price per unit, and average procurement time interval for each raw material type. The adjusted critical reserve is then used to monitor the raw materials, effectively preventing both insufficient supply and excessive reserves, thus avoiding any impact on company profits.
[0078] Based on the same inventive concept, this invention also proposes a device for automatic monitoring of raw materials based on the Industrial Internet of Things (IIoT). The implementation of this device can be found in the implementation of the method described above; repeated details will not be repeated. Figure 2 As shown, the device 100 includes: Raw material information acquisition module 101: used to acquire the types of each raw material and the corresponding procurement information for each type of raw material; Correlation factor calculation module 102: used to calculate the cost ratio and critical reserve quantity correlation factor for each type of raw material; Critical reserve acquisition module 103: used to acquire the first critical reserve for each type of raw material, and calculate the second critical reserve for each type of raw material based on the critical reserve correlation factor and the first critical reserve; Supply shortage judgment module 104: It is used to obtain the real-time reserve quantity of each raw material type, and judge whether the corresponding raw material type is in short supply based on the real-time reserve quantity and the second critical reserve quantity. If the supply is insufficient, it generates a prompt message and sends it to the raw material procurement management platform.
[0079] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the described module can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.
[0080] like Figure 3 As shown, the device includes a central processing unit (CPU), which can perform various appropriate actions and processes based on computer program instructions stored in read-only memory (ROM) or loaded from storage units into random access memory (RAM). The RAM can also store various programs and data required for device operation. The CPU, ROM, and RAM are interconnected via a bus. Input / output (I / O) interfaces are also connected to the bus.
[0081] Multiple components in the device are connected to the I / O interface, including: input units such as keyboards and mice; output units such as various types of displays and speakers; storage units such as disks and optical discs; and communication units such as network interface cards (NICs), modems, and wireless transceivers. The communication unit allows the device to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.
[0082] The processing unit executes the various methods and processes described above, such as method steps S01 to S04. For example, in some embodiments, method steps S01 to S04 may be implemented as a computer software program tangibly contained in a machine-readable medium, such as a storage unit. In some embodiments, part or all of the computer program may be loaded and / or installed on the device via ROM and / or a communication unit. When the computer program is loaded into RAM and executed by the CPU, one or more steps of method steps S01 to S04 described above may be performed. Alternatively, in other embodiments, the CPU may be configured to execute method steps S01 to S04 by any other suitable means (e.g., by means of firmware).
[0083] The functions described above in this document can be performed at least in part by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: field programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload programmable logic devices (CPLDs), and so on.
[0084] The program code used to implement the methods of the present invention can be written in any combination of one or more programming languages. This program code can be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code can be executed entirely on the machine, partially on the machine, as a standalone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.
[0085] In the context of this invention, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.
[0086] Furthermore, although the operations are described in a specific order, this should be understood as requiring that such operations be performed in the specific order shown or in sequential order, or requiring that all illustrated operations be performed to achieve the desired result. In certain environments, multitasking and parallel processing may be advantageous. Similarly, although several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the invention. Certain features described in the context of individual embodiments may also be implemented in combination in a single implementation. Conversely, various features described in the context of a single implementation may also be implemented individually or in any suitable sub-combination in multiple implementations.
[0087] Although the subject matter has been described using language specific to structural features and / or methodological logic, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. Rather, the specific features and actions described above are merely illustrative examples of implementing the claims.
Claims
1. A method for automatic monitoring of raw materials based on the Industrial Internet of Things, characterized in that, The method includes: Step S01: Obtain the types of each raw material and the corresponding procurement information for each type of raw material; Step S02: Calculate the cost percentage and critical reserve correlation factor for each type of raw material; Step S03: Obtain the first critical reserve quantity for each type of raw material, and calculate the second critical reserve quantity for each type of raw material based on the critical reserve quantity correlation factor and the first critical reserve quantity; Step S04: Obtain the real-time reserve quantity for each type of raw material, and determine whether there is a supply shortage for the corresponding type of raw material based on the real-time reserve quantity and the second critical reserve quantity. If there is a supply shortage, generate a prompt message and send it to the raw material procurement management platform.
2. The method for automatic monitoring of raw materials based on the Industrial Internet of Things according to claim 1, characterized in that, The specific steps of step S01 are as follows: obtain the types of raw materials that are expected to be stacked in the raw material stacking workshop, retrieve the previous purchase list corresponding to each type of raw material from the raw material procurement management platform, and obtain the procurement information corresponding to each type of raw material from the previous purchase list. The procurement information includes: the number of procurement channels, the average purchase price per item, and the average procurement time interval.
3. The method for automatic monitoring of raw materials based on the Industrial Internet of Things according to claim 1, characterized in that, The specific steps for calculating the cost percentage of each raw material type in step S02 are as follows: Obtain the type of material used for each raw material type in the preparation, and obtain the average selling price per unit for each type of material from the sales management system. Then, calculate the cost percentage of each raw material type based on the average purchase price per unit for each raw material type and the average selling price per unit for each type of material used in the preparation. The calculation formula is as follows: ， in, Indicates the first The average purchase price per item for each type of raw material Indicates the first The raw material categories are used to formulate the average selling price per unit for each type of material.
4. The method for automatic monitoring of raw materials based on the Industrial Internet of Things according to claim 3, characterized in that, The critical reserve correlation factor mentioned in step S02 The calculation formula is: ， in, Indicates the first The critical reserve level correlation factor for each type of raw material Indicates the first The number of procurement channels corresponding to each type of raw material The benchmark value representing the number of procurement channels. This represents the first weight corresponding to the number of procurement channels. Indicates the first The average procurement time interval for each type of raw material. The benchmark value representing the average procurement time interval. This represents the second weight corresponding to the average procurement time interval. This represents the third weight corresponding to the cost percentage.
5. The method for automatic monitoring of raw materials based on the Industrial Internet of Things according to claim 1, characterized in that, The specific steps for obtaining the first critical reserve quantity for each type of raw material as described in step S03 are as follows: Step S031: Within a preset time range, obtain the corresponding shipment quantity of each material used for preparation for each type of raw material, and calculate the average daily shipment quantity of each material used for preparation for each type of raw material based on the shipment quantity. Step S032: Obtain the required quantity of each raw material in the preparation process, and calculate the average quantity of each raw material to obtain the average required quantity of each raw material. Step S033: Calculate the average daily consumption of each raw material type based on the average daily output and average required quantity for each material. The calculation formula is as follows: ， in, Indicates the first Each raw material type corresponds to the average daily shipment volume of each material. Indicates the first The average quantity required for preparation for each type of raw material. Indicates the first Average daily consumption of each type of raw material; Step S034: Select the minimum time interval from the procurement time intervals of each previous procurement list corresponding to each raw material type as the expedited procurement time interval for the corresponding raw material type. Step S035: Calculate the corresponding safety stock level for each raw material type based on the expedited procurement time interval and average daily consumption. The calculation formula is as follows: ， in, Indicates the first The corresponding expedited procurement time intervals for each type of raw material. Indicates the first The corresponding safety reserve for each type of raw material; Step S036: Obtain the corresponding first critical reserve for each raw material based on the safety reserve for each type of raw material. The calculation formula is as follows: ， in, Indicates the first The first critical reserve level corresponding to each type of raw material. Indicates the first The average procurement time interval for each type of raw material.
6. The method for automatic monitoring of raw materials based on the Industrial Internet of Things according to claim 4 or 5, characterized in that, The formula for calculating the second critical reserve quantity for each type of raw material mentioned in step S03 is as follows: ， in, Indicates the first The first critical reserve level corresponding to each type of raw material. Indicates the first The second critical reserve level corresponding to each type of raw material. Indicates the first The critical reserve quantity correlation factor for each type of raw material.
7. The method for automatic monitoring of raw materials based on the Industrial Internet of Things according to claim 1, characterized in that, The specific steps of step S04 are as follows: compare the real-time reserve quantity corresponding to each type of raw material with the second critical reserve quantity. If the real-time reserve quantity is less than the second critical reserve quantity, it is determined that the supply of the corresponding type of raw material is insufficient, and a corresponding prompt message is generated and sent to the raw material procurement management platform. The prompt message includes the type of raw material with insufficient supply and the required procurement quantity.
8. A device for automatic monitoring of raw materials based on the Industrial Internet of Things, characterized in that, The device implements the method as described in any one of claims 1 to 7, comprising: Raw material information acquisition module: used to acquire the types of each raw material and the corresponding procurement information for each type of raw material; Correlation factor calculation module: used to calculate the cost ratio and critical reserve quantity correlation factor for each type of raw material; Critical reserve acquisition module: used to acquire the first critical reserve for each type of raw material, and calculate the second critical reserve for each type of raw material based on the critical reserve correlation factor and the first critical reserve; Supply shortage judgment module: It is used to obtain the real-time reserve quantity of each raw material type, and judge whether there is a supply shortage of the corresponding raw material type based on the real-time reserve quantity and the second critical reserve quantity. If the supply is insufficient, a prompt message is generated and sent to the raw material procurement management platform.
9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the program, it implements the method as described in any one of claims 1 to 7.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1 to 7.