Operation and maintenance management method and system for flour processing equipment
Through multi-dimensional data analysis and inventory adjustment formulas, the operation and maintenance management of flour processing equipment is optimized, and the problem of unreasonable inventory configuration is solved, the equipment operation stability and production efficiency are improved, and the maintenance costs are reduced.
Patent Information
- Application Number
- CN202510616000.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-14
- Publication Date
- 2025-08-19
AI Technical Summary
The operation and maintenance management system of existing flour processing equipment fails to fully collect multi-dimensional information of the equipment, resulting in unreasonable inventory configuration and prone to shortages or excess spare parts, affecting production efficiency and enterprise competitiveness.
Multi-dimensional data is used to obtain relevant data of mobile and fixed equipment, calculate benchmark inventory using the first and second benchmark inventory adjustment formulas, and predict failure rates through the SVM model, and optimize spare parts inventory configuration in combination with the inventory adjustment formula.
It realizes more refined spare parts management, reduces inventory risks, improves equipment operation stability and production efficiency, and reduces maintenance costs.
Smart Images
Figure CN120509875A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of spare parts inventory control, and in particular to an operation and maintenance management method and system for flour processing equipment. Background Art
[0002] In the flour milling industry, equipment operation and maintenance management is directly related to production efficiency, product quality, and enterprise cost control. Existing technologies primarily rely on traditional inventory management and equipment maintenance strategies, which suffer from the following deficiencies: Current operation and maintenance management systems primarily monitor equipment status through simple sensor data and equipment operation logs, failing to fully capture multi-dimensional information about the equipment. Traditional inventory management often relies on historical data and simple statistical models, employing a single empirical formula to estimate spare parts quantities or using a preset baseline to determine the number of spare parts in stock for flour milling equipment. This approach suffers from insufficient information integration and unclear weighting, often leading to irrational inventory allocation, potentially causing both overstocking and the risk of spare parts shortages. Due to untimely response to equipment failures and imbalanced spare parts inventory allocation, enterprises not only face high repair costs but also frequently interrupt production plans, impacting order delivery and customer satisfaction. Furthermore, frequent equipment downtime and disorganized inventory management put enterprises at a competitive disadvantage, negatively impacting their economic performance and brand image, and in severe cases, even exposing them to significant operational risks. Summary of the Invention
[0003] In order to overcome the shortcoming of not comprehensively considering the refined inventory management of mobile flour equipment and fixed flour equipment, the present invention provides an operation and maintenance management method and system for flour processing equipment.
[0004] The technical solution is as follows: A method for operation and maintenance management of flour processing equipment, comprising the following steps: S1: Acquire first relevant data of mobile flour processing equipment and second relevant data of fixed flour processing equipment, and obtain a benchmark inventory of mobile equipment using a first benchmark inventory adjustment formula based on the first relevant data; S2: Obtaining a base inventory of fixed equipment using a second base inventory adjustment formula based on the second relevant data; S3: The sum of the mobile equipment benchmark inventory and the fixed equipment benchmark inventory is used as the total equipment spare parts inventory quantity, and the equipment repair spare parts inventory quantity and the equipment new spare parts inventory quantity are adjusted according to the total equipment spare parts inventory quantity.
[0005] Preferably, the first relevant data of the mobile flour processing equipment and the second relevant data of the fixed flour processing equipment are obtained, and the first benchmark inventory adjustment formula is used according to the first relevant data to obtain the benchmark inventory of the mobile equipment, including: the first relevant data includes the number of mobile flour processing equipment, the total failure rate of the mobile flour processing equipment, the actual month, the production month of each flour raw material and the type of flour raw materials in each region that the mobile flour processing equipment needs to process, and the first benchmark inventory adjustment formula is used on the first relevant data to obtain the benchmark inventory of the mobile equipment; the benchmark inventory of the mobile equipment is the inventory spare parts reserve of the mobile flour processing equipment.
[0006] Preferably, the step of applying a first benchmark inventory adjustment formula to the first relevant data to obtain a benchmark inventory of mobile devices includes: the first benchmark inventory adjustment formula is: ; Where, Baselining inventory for mobile devices; The number of mobile flour processing equipment; is the total failure rate of mobile flour processing equipment; Processing of first Region No. Types of flour raw materials; is the actual month; For the Production month of flour raw materials; is the weight adjustment factor.
[0007] Preferably, the The method is to determine the total failure rate of mobile flour processing equipment, including: obtaining historical route data of each mobile flour processing equipment and path failure rate data on the corresponding historical route; training a support vector machine (SVM) model based on the historical route data and the path failure rate data to obtain a path failure rate detection model; inputting a preset planned route of each mobile flour processing equipment into the path failure rate detection model to obtain the path failure rate of each mobile flour processing equipment; obtaining the production failure rate of the mobile flour processing equipment; and taking the sum of the path failure rate and the production failure rate as the total failure rate of the mobile flour processing equipment.
[0008] Preferably, the method of obtaining a fixed equipment benchmark inventory using a second benchmark inventory adjustment formula based on the second relevant data includes: the second relevant data includes the number of fixed flour processing equipment, the production failure rate of the fixed flour processing equipment, and the stability of the supply chain of various flour raw materials required to be processed by the fixed flour processing equipment; the method of obtaining a fixed equipment benchmark inventory using a second benchmark inventory adjustment formula on the second relevant data, wherein the fixed equipment benchmark inventory is the inventory spare parts reserve of the fixed flour processing equipment, wherein the second benchmark inventory adjustment formula is: ; Where, Baseline inventory for capital equipment; To fix the number of flour processing equipment; To fix the production failure rate of flour processing equipment; is the actual month; For the Production month of flour raw materials; For the The stability of the supply chain of flour raw materials.
[0009] Preferably, the sum of the mobile equipment benchmark inventory and the fixed equipment benchmark inventory is used as the total equipment spare parts inventory, and the equipment repair spare parts inventory quantity and the equipment brand new spare parts inventory quantity are adjusted according to the total equipment spare parts inventory, including: obtaining inventory-related data, the inventory-related data including the total equipment spare parts inventory quantity, the actual number of equipment brand new spare parts in the spare parts inventory, the mobile equipment benchmark inventory, the number of repairs of each equipment repair spare part in the spare parts inventory and the maximum number of repairs of each equipment repair spare part, applying an inventory adjustment formula to the inventory-related data to obtain an inventory adjustment value, and adjusting the equipment repair spare parts inventory quantity and the equipment brand new spare parts inventory quantity according to the inventory adjustment value.
[0010] Preferably, the applying an inventory adjustment formula to the inventory-related data to obtain an inventory adjustment value includes: wherein the inventory adjustment formula is: ; Where, is the inventory adjustment value; is the weight adjustment factor; The minimum proportion of new spare parts inventory; The total inventory quantity of equipment spare parts; The actual number of new spare parts for equipment in the spare parts inventory; Baselining inventory for mobile devices; For the The number of repairs of spare parts for each piece of equipment; The maximum number of times a spare part can be repaired for a device.
[0011] Preferably, taking the sum of the mobile equipment benchmark inventory and the fixed equipment benchmark inventory as the total equipment spare parts inventory includes: when obtaining the mobile equipment benchmark inventory and the fixed equipment benchmark inventory, rounding up and adding them together to obtain the total equipment spare parts inventory.
[0012] Preferably, the inventory quantity of equipment repair spare parts and the inventory quantity of equipment new spare parts are adjusted according to the inventory adjustment value, including: when the inventory adjustment value is greater than or equal to a first preset threshold, increasing the inventory quantity of equipment new spare parts and freezing high-risk equipment repair spare parts; when the inventory adjustment value is less than the first preset threshold and greater than or equal to a second preset threshold, sorting the equipment repair spare parts according to the number of repairs, sorting the equipment repair spare parts with more than the preset number of repairs to obtain a priority replacement sequence, and performing subsequent replacement operations on the equipment repair spare parts according to the priority replacement sequence; when the inventory adjustment value is less than the second preset threshold, continuing monitoring.
[0013] Preferably, an operation and maintenance management system for flour processing equipment includes: A data acquisition module, configured to acquire first relevant data, second relevant data, and inventory relevant data; A failure rate detection module is used to obtain the path failure rate of each mobile flour processing equipment using a path failure rate detection model; a total failure rate acquisition module, configured to use the sum of the path failure rate and the production failure rate as the total failure rate of the mobile flour processing equipment; a mobile device benchmark inventory module, configured to apply a first benchmark inventory adjustment formula to the first relevant data to obtain a mobile device benchmark inventory; a fixed equipment benchmark inventory module, configured to apply a second benchmark inventory adjustment formula to the second relevant data to obtain a fixed equipment benchmark inventory; The equipment spare parts inventory total quantity module is used to obtain the mobile equipment benchmark inventory and fixed equipment benchmark inventory, and then round up and add them together to obtain the total equipment spare parts inventory quantity; An inventory adjustment value acquisition module, configured to apply an inventory adjustment formula to the inventory-related data to obtain an inventory adjustment value; The adjustment module is used to adjust the inventory quantity of equipment repair spare parts and the inventory quantity of equipment new spare parts according to the inventory adjustment value.
[0014] The beneficial effects are: 1. The present invention uses multidimensional data and employs a first benchmark inventory adjustment formula and a second benchmark inventory adjustment formula for mobile flour processing equipment and fixed flour processing equipment, respectively, to obtain more accurate mobile equipment benchmark inventory and fixed equipment benchmark inventory, thereby enabling more refined management of spare parts inventory. 2. The SVM model is introduced to model the historical route data and path failure rate of mobile devices, achieving early warning of failures during device operation; 3. Use the inventory adjustment formula to dynamically calculate the inventory adjustment value and achieve a reasonable ratio between the inventory quantity of repaired spare parts and the inventory quantity of new spare parts based on the preset threshold. This prevents the inventory quantity of new spare parts from being too low. In special circumstances, new spare parts are still available for compensation, which increases the fault tolerance of inventory management. 4. A closed-loop feedback mechanism is formed between each module. Through real-time data collection, risk warning and decision support, an adaptive dynamic optimization system is built to ensure efficient and stable operation in a complex and changing production environment. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] Figure 1 This is a flow chart of the operation and maintenance management method of flour processing equipment of the present invention; Figure 2 The figure is a schematic diagram of the structure of the operation and maintenance management system of the flour processing equipment of the present invention. DETAILED DESCRIPTION
[0016] The above scheme is further described below with reference to specific examples. It should be understood that these examples are intended to illustrate the present application and are not intended to limit the scope of the present application. The implementation conditions used in the examples can be further adjusted according to the conditions of the specific manufacturer. The implementation conditions not specified are generally those used in routine experiments.
[0017] Example 1: A method for operation and maintenance management of flour processing equipment, such as Figure 1 As shown, the following steps are included: S1: Acquire first relevant data of mobile flour processing equipment and second relevant data of fixed flour processing equipment, and obtain a benchmark inventory of mobile equipment using a first benchmark inventory adjustment formula based on the first relevant data; The first relevant data includes the number of mobile flour processing equipment, the total failure rate of the mobile flour processing equipment, the actual month, the production month of each flour raw material and the type of flour raw materials in each region that the mobile flour processing equipment needs to process. The first relevant data is adjusted using the first benchmark inventory formula to obtain the mobile equipment benchmark inventory; the mobile equipment benchmark inventory is the inventory spare parts reserve of the mobile flour processing equipment.
[0018] The first benchmark inventory adjustment formula is: ; Where, Baselining inventory for mobile devices; The number of mobile flour processing equipment; is the total failure rate of mobile flour processing equipment; Processing of first Region No. Types of flour raw materials; is the actual month; For the Production month of flour raw materials; is the weight adjustment factor.
[0019] It should be noted that To count the number of mobile flour processing equipment, use sensors or equipment management platforms to count the number of mobile flour processing equipment in real time to ensure the accuracy and timeliness of the data; The total failure rate of the mobile flour processing equipment is obtained by obtaining the planned route of the mobile flour processing equipment and the data of the mobile flour processing equipment when it is running on the planned route, thereby obtaining the total failure rate of the mobile flour processing equipment. The total failure rate reflects the cumulative failures of the mobile flour processing equipment within a certain period. The actual month is automatically read for the calculation of the time difference between the actual month and the flour raw material production month; For the The production month of each flour raw material is obtained for each flour raw material that can be processed by the mobile flour processing equipment. This data reflects the busyness of the mobile flour processing equipment in processing each flour raw material and is used to adjust the spare parts inventory quantity of the mobile flour processing equipment; Processing of first Region No. Types of flour raw materials are used to indicate the number of different types of flour raw materials processed by mobile flour processing equipment in different regions. When mobile flour processing equipment processes different types of flour raw materials, it is necessary to frequently switch mechanical equipment such as screen grinding rollers, which will cause damage to the mobile flour processing equipment during the continuous switching of mechanical equipment.
[0020] Obtain historical route data of each mobile flour processing equipment and path failure rate data on the corresponding historical route; use an SVM model for training based on the historical route data and the path failure rate data to obtain a path failure rate detection model; input the preset planned route of each mobile flour processing equipment into the path failure rate detection model to obtain the path failure rate of each mobile flour processing equipment; obtain the production failure rate of the mobile flour processing equipment; and use the sum of the path failure rate and the production failure rate as the total failure rate of the mobile flour processing equipment.
[0021] It should be noted that, through data collection, the historical route data of each mobile flour processing equipment in the past period and the corresponding path failure rate data are obtained respectively. The historical route data reflects the preset planned route selected by each mobile flour processing equipment in actual operation, including the driving path, number of turns and stay time information; the path failure rate data records the frequency and severity of failures of the mobile flour processing equipment due to road conditions, environment or other external factors during the operation of each historical route; these data are usually collected in real time through the equipment management platform and sensors, and stored in the system database for subsequent analysis and use. The collected historical route data and path failure rate data are input into the support vector machine model as training samples to perform data analysis. After row normalization and feature extraction, training is performed to generate a path failure rate detection model. This model can predict the failure rate of mobile flour processing equipment along the preset planned route based on the input data. For each mobile flour processing equipment, the pre-set planned route is input into the trained path failure rate detection model to obtain the corresponding path failure rate. At the same time, the production failure rate of the mobile flour processing equipment during the production process is obtained through the equipment management platform or historical maintenance records. The production failure rate mainly reflects the failure of the equipment caused by internal mechanical wear, component aging, and abnormal process parameters. The path failure rate obtained from the SVM model is summed with the production failure rate to obtain the total failure rate of the mobile flour processing equipment.
[0022] S2: Obtaining a base inventory of fixed equipment using a second base inventory adjustment formula based on the second relevant data; The second relevant data includes the number of fixed flour processing equipment, the production failure rate of the fixed flour processing equipment, and the stability of the supply chain of each flour raw material required to be processed by the fixed flour processing equipment. The second relevant data is adjusted using a second benchmark inventory formula to obtain a fixed equipment benchmark inventory. The fixed equipment benchmark inventory is the inventory spare parts reserve of the fixed flour processing equipment, wherein the second benchmark inventory adjustment formula is: ; Where, Baseline inventory for capital equipment; To fix the number of flour processing equipment; To fix the production failure rate of flour processing equipment; is the actual month; For the Production month of flour raw materials; For the The stability of the supply chain of flour raw materials.
[0023] It should be noted that To fix the equipment benchmark inventory, the number of flour processing equipment is fixed and obtained through real-time statistics on the equipment management platform or on-site sensors to ensure that the data is accurate and real-time; The production failure rate of fixed flour processing equipment reflects the situation of fixed flour processing equipment downtime due to internal failure during the production process. This data comes from historical maintenance records and real-time monitoring; In order to fix the supply chain stability of each flour raw material required by flour processing equipment, the stability of the supply chain of each flour raw material is evaluated, and the corresponding supply chain stability data is generated. and Make timeliness adjustments to supply chain stability data.
[0024] S3: The sum of the mobile equipment benchmark inventory and the fixed equipment benchmark inventory is used as the total equipment spare parts inventory quantity, and the equipment repair spare parts inventory quantity and the equipment new spare parts inventory quantity are adjusted according to the total equipment spare parts inventory quantity.
[0025] Obtain inventory-related data, where the inventory-related data includes the total number of equipment spare parts in stock, the actual number of new equipment spare parts in the spare parts inventory, a baseline inventory of mobile equipment, the number of repair times of each equipment repair spare part in the spare parts inventory, and the maximum number of repair times of each equipment repair spare part; apply an inventory adjustment formula to the inventory-related data to obtain an inventory adjustment value; and adjust the inventory quantity of equipment repair spare parts and the inventory quantity of equipment new spare parts according to the inventory adjustment value.
[0026] It should be noted that the benchmark inventory of mobile equipment is obtained through the aforementioned first benchmark inventory adjustment formula, and its value reflects the spare parts reserve required for mobile flour processing equipment during operation due to the combined effects of the number of equipment, total failure rate, raw material production month and the type of flour raw materials in each region; the benchmark inventory of fixed equipment is calculated using the second benchmark inventory adjustment formula, and its value comprehensively considers the number of fixed flour processing equipment, production failure rate and the stability of each flour raw material supply chain, thereby determining the spare parts reserve of fixed flour processing equipment; the sum of the mobile equipment benchmark inventory and the fixed equipment benchmark inventory is taken as the total equipment spare parts inventory.
[0027] The inventory adjustment formula is: ; Where, is the inventory adjustment value; is the weight adjustment factor; The minimum proportion of new spare parts inventory; The total inventory quantity of equipment spare parts; The actual number of new spare parts for equipment in the spare parts inventory; Baselining inventory for mobile devices; For the The number of repairs of spare parts for each piece of equipment; The maximum number of times a spare part can be repaired for a device.
[0028] It should be noted that The actual number of brand new spare parts in the spare parts inventory is obtained through real-time statistics of the inventory management system to reflect the current number of brand new spare parts in the spare parts inventory. For the The number of repairs of each equipment repair spare part. For each equipment repair spare part in the spare parts inventory, the number of repairs it has undergone is recorded to reflect the degree of aging or fatigue of the spare part due to repeated repairs; The maximum number of repairs for equipment repair parts is the maximum number of repairs for equipment repair parts within the allowable range, which is an important indicator for measuring the remaining service life of equipment repair parts; When the actual number of new spare parts for equipment is insufficient, increase the purchase of new spare parts for equipment; The proportion of the mobile equipment benchmark inventory in the total equipment spare parts inventory and the deviation between the cumulative repair times of each equipment repair spare part and the maximum repair times are comprehensively considered to reflect the overall usage risk of the repair spare parts.
[0029] When obtaining the mobile equipment benchmark inventory and fixed equipment benchmark inventory, round up and add them together to obtain the total equipment spare parts inventory quantity.
[0030] It should be noted that, considering that spare parts inventory must exist in the form of integers, and to ensure sufficient reserves of equipment spare parts, rounding up is performed.
[0031] When the inventory adjustment value is greater than or equal to the first preset threshold, the inventory quantity of new spare parts for equipment is increased, and high-risk equipment repair spare parts are frozen; when the inventory adjustment value is less than the first preset threshold and greater than or equal to the second preset threshold, the equipment repair spare parts are sorted according to the number of repairs, and the equipment repair spare parts with more than the preset number of repairs are sorted to obtain a priority replacement sequence, and subsequent replacement operations are performed on the equipment repair spare parts according to the priority replacement sequence; when the inventory adjustment value is less than the second preset threshold, monitoring continues.
[0032] It should be noted that if the inventory adjustment value is greater than or equal to the first preset threshold, it is determined that the current equipment brand-new spare parts are insufficient and the equipment repair spare parts are of high risk, then the purchase and storage of brand-new spare parts for the equipment will be actively increased to make up for the inventory shortage as soon as possible; for equipment repair spare parts that have been repaired many times and are in a high-risk state, they will be frozen, that is, their use in maintenance will be suspended to prevent the aggravation of equipment failures due to the use of high-risk equipment repair spare parts; if the inventory adjustment value is between the first preset threshold and the second preset threshold, it indicates that the inventory status is still in the adjustment period but the overall risk has not yet reached an emergency state, and all equipment repair spare parts will be frozen according to the repairs they have undergone. The repair times are sorted to identify equipment repair spare parts with a high number of repairs, or those close to or exceeding a preset number of repairs. A priority replacement sequence is formed based on the sorting results, and replacement priority is given to equipment repair spare parts with high risks. Subsequently, according to the priority replacement sequence, the replacement of equipment repair spare parts is gradually implemented to optimize the overall inventory structure while maintaining the safety and stability of spare parts supply during equipment maintenance. If the inventory adjustment value is less than the second preset threshold, it means that the current inventory structure is ideal and there is no need to make inventory adjustments immediately. The inventory data will continue to be monitored in real time, and the inventory adjustment value will be updated in time when the data changes, to ensure that inventory management remains in a dynamically optimized state.
[0033] Example 2: Based on Example 1, an operation and maintenance management system for flour processing equipment, such as Figure 2 As shown, including: A data acquisition module, configured to acquire first relevant data, second relevant data, and inventory relevant data; A failure rate detection module is used to obtain the path failure rate of each mobile flour processing equipment using a path failure rate detection model; a total failure rate acquisition module, configured to use the sum of the path failure rate and the production failure rate as the total failure rate of the mobile flour processing equipment; a mobile device benchmark inventory module, configured to apply a first benchmark inventory adjustment formula to the first relevant data to obtain a mobile device benchmark inventory; a fixed equipment benchmark inventory module, configured to apply a second benchmark inventory adjustment formula to the second relevant data to obtain a fixed equipment benchmark inventory; The equipment spare parts inventory total quantity module is used to obtain the mobile equipment benchmark inventory and fixed equipment benchmark inventory, and then round up and add them together to obtain the total equipment spare parts inventory quantity; An inventory adjustment value acquisition module, configured to apply an inventory adjustment formula to the inventory-related data to obtain an inventory adjustment value; The adjustment module is used to adjust the inventory quantity of equipment repair spare parts and the inventory quantity of equipment new spare parts according to the inventory adjustment value.
[0034] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.
Claims
1. A method for operation and maintenance management of flour processing equipment, characterized in that: The following steps are involved: S1: Acquire first relevant data of mobile flour processing equipment and second relevant data of fixed flour processing equipment, and obtain a benchmark inventory of mobile equipment using a first benchmark inventory adjustment formula based on the first relevant data; S2: Obtaining a base inventory of fixed equipment using a second base inventory adjustment formula based on the second relevant data; S3: The sum of the mobile equipment benchmark inventory and the fixed equipment benchmark inventory is used as the total equipment spare parts inventory quantity, and the equipment repair spare parts inventory quantity and the equipment new spare parts inventory quantity are adjusted according to the total equipment spare parts inventory quantity.
2. The operation and maintenance management method of flour processing equipment according to claim 1, characterized in that: The method of obtaining first relevant data of mobile flour processing equipment and second relevant data of fixed flour processing equipment, and using a first benchmark inventory adjustment formula based on the first relevant data to obtain a benchmark inventory of mobile equipment includes: the first relevant data includes the number of mobile flour processing equipment, the total failure rate of the mobile flour processing equipment, the actual month, the production month of each flour raw material, and the type of flour raw materials in each region that the mobile flour processing equipment needs to process, and using the first benchmark inventory adjustment formula on the first relevant data to obtain a benchmark inventory of mobile equipment; the benchmark inventory of mobile equipment is the inventory spare parts reserve of the mobile flour processing equipment.
3. The operation and maintenance management method of flour processing equipment according to claim 2, characterized in that: The step of applying a first benchmark inventory adjustment formula to the first relevant data to obtain a benchmark inventory of mobile devices includes: the first benchmark inventory adjustment formula is: ； Where, Baselining inventory for mobile devices; The number of mobile flour processing equipment; is the total failure rate of mobile flour processing equipment; Processing of first Region No. Types of flour raw materials; is the actual month; For the Production month of flour raw materials; is the weight adjustment factor.
4. The operation and maintenance management method of flour processing equipment according to claim 3, characterized in that: described The method is to determine the total failure rate of mobile flour processing equipment, including: obtaining historical route data of each mobile flour processing equipment and path failure rate data on the corresponding historical route; training a support vector machine (SVM) model based on the historical route data and the path failure rate data to obtain a path failure rate detection model; inputting a preset planned route of each mobile flour processing equipment into the path failure rate detection model to obtain the path failure rate of each mobile flour processing equipment; obtaining the production failure rate of the mobile flour processing equipment; and taking the sum of the path failure rate and the production failure rate as the total failure rate of the mobile flour processing equipment.
5. The operation and maintenance management method of flour processing equipment according to claim 1, characterized in that: The method of obtaining a fixed equipment benchmark inventory using a second benchmark inventory adjustment formula based on the second relevant data includes: the second relevant data includes the number of fixed flour processing equipment, the production failure rate of the fixed flour processing equipment, and the stability of the supply chain of each flour raw material required to be processed by the fixed flour processing equipment; and the method of obtaining a fixed equipment benchmark inventory using a second benchmark inventory adjustment formula on the second relevant data, wherein the fixed equipment benchmark inventory is the inventory spare parts reserve of the fixed flour processing equipment, wherein the second benchmark inventory adjustment formula is: ； Where, Baseline inventory for capital equipment; To fix the number of flour processing equipment; To fix the production failure rate of flour processing equipment; is the actual month; For the Production month of flour raw materials; For the The stability of the supply chain of flour raw materials.
6. The operation and maintenance management method of flour processing equipment according to claim 1, characterized in that: The method uses the sum of the mobile equipment benchmark inventory and the fixed equipment benchmark inventory as the total equipment spare parts inventory, and adjusts the equipment repair spare parts inventory and the equipment brand new spare parts inventory based on the total equipment spare parts inventory, including: obtaining inventory-related data, the inventory-related data including the total equipment spare parts inventory, the actual number of brand new spare parts for equipment in the spare parts inventory, the mobile equipment benchmark inventory, the number of repairs of each equipment repair spare part in the spare parts inventory, and the maximum number of repairs of each equipment repair spare part, applying an inventory adjustment formula to the inventory-related data to obtain an inventory adjustment value, and adjusting the equipment repair spare parts inventory and the equipment brand new spare parts inventory based on the inventory adjustment value.
7. The operation and maintenance management method of flour processing equipment according to claim 6, characterized in that: The step of applying an inventory adjustment formula to the inventory-related data to obtain an inventory adjustment value includes: wherein the inventory adjustment formula is: ； Where, is the inventory adjustment value; is the weight adjustment factor; The minimum proportion of new spare parts inventory; The total inventory quantity of equipment spare parts; The actual number of new spare parts for equipment in the spare parts inventory; Baselining inventory for mobile devices; For the The number of repairs of spare parts for each piece of equipment; The maximum number of times a spare part can be repaired for a device.
8. The operation and maintenance management method of flour processing equipment according to claim 6, characterized in that: The taking the sum of the mobile equipment benchmark inventory and the fixed equipment benchmark inventory as the total equipment spare parts inventory quantity includes: when obtaining the mobile equipment benchmark inventory and the fixed equipment benchmark inventory, rounding up and adding them together to obtain the total equipment spare parts inventory quantity.
9. The operation and maintenance management method of flour processing equipment according to claim 6, characterized in that: The adjusting of the inventory quantity of equipment repair spare parts and the inventory quantity of equipment new spare parts according to the inventory adjustment value includes: when the inventory adjustment value is greater than or equal to a first preset threshold, increasing the inventory quantity of equipment new spare parts and freezing high-risk equipment repair spare parts; when the inventory adjustment value is less than the first preset threshold and greater than or equal to a second preset threshold, sorting the equipment repair spare parts according to the number of repairs, sorting the equipment repair spare parts with more than the preset number of repairs to obtain a priority replacement sequence, and performing subsequent replacement operations on the equipment repair spare parts according to the priority replacement sequence; when the inventory adjustment value is less than the second preset threshold, continuing monitoring.
10. An operation and maintenance management system for flour processing equipment, according to the operation and maintenance management method for flour processing equipment according to any one of claims 1 to 9, characterized in that: include: A data acquisition module, configured to acquire first relevant data, second relevant data, and inventory relevant data; A failure rate detection module is used to obtain the path failure rate of each mobile flour processing equipment using a path failure rate detection model; a total failure rate acquisition module, configured to use the sum of the path failure rate and the production failure rate as the total failure rate of the mobile flour processing equipment; a mobile device benchmark inventory module, configured to apply a first benchmark inventory adjustment formula to the first relevant data to obtain a mobile device benchmark inventory; a fixed equipment benchmark inventory module, configured to apply a second benchmark inventory adjustment formula to the second relevant data to obtain a fixed equipment benchmark inventory; The equipment spare parts inventory total quantity module is used to obtain the mobile equipment benchmark inventory and fixed equipment benchmark inventory, and then round up and add them together to obtain the total equipment spare parts inventory quantity; An inventory adjustment value acquisition module, configured to apply an inventory adjustment formula to the inventory-related data to obtain an inventory adjustment value; The adjustment module is used to adjust the inventory quantity of equipment repair spare parts and the inventory quantity of equipment new spare parts according to the inventory adjustment value.