Experimental data management method and system for mixed materials

Abstract

The invention relates to the technical field of data management, and discloses an experimental data management method and system for mixed materials, and the method comprises the steps: collecting physical and chemical characteristic data, environmental data and packaging material characteristics of the mixed materials; the physicochemical characteristics comprise moisture, granularity, thermal stability and chemical reactivity; analyzing the physicochemical characteristic data to obtain mixing uniformity and material stability; analyzing the packaging material characteristics and the environmental data to obtain packaging suitability; planning initial material inventory parameters; and calculating a material stability coefficient to adjust the initial parameter, and obtaining an optimal inventory parameter. The invention provides a comprehensive, accurate and data-driven mixed material experimental data management solution, and has remarkable technical advantages. The intelligent level of material management is improved, and the quality and stability of products are effectively guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to an experimental data management method and system for mixed materials. Background Art

[0002] In the production and storage of mixed materials, it is crucial to ensure the stability of materials, mixing uniformity and the adaptability of packaging materials. These factors are directly related to product quality and the extension of product shelf life. At present, most material management methods are based on experience and traditional inventory management systems, lacking systematic and data-driven optimization strategies, which exposes several problems in the material management process:

[0003] First, the material stability is insufficient. The stability of mixed materials is affected by many factors, including environmental conditions and packaging materials. During storage, environmental factors such as temperature and humidity have a significant impact on the chemical stability, mechanical stability and mixing uniformity of the materials. However, traditional methods often fail to adjust storage conditions and inventory parameters in a timely manner based on these factors.

[0004] Secondly, mixing uniformity is difficult to ensure. During storage and transportation, materials may be unevenly distributed due to factors such as temperature and humidity, thus affecting product quality. Traditional methods usually fail to effectively evaluate and adjust mixing uniformity in the early stages.

[0005] In addition, the adaptability of packaging materials has not been fully considered. The moisture permeability, mechanical strength and antioxidant properties of packaging materials will directly affect the stability and shelf life of the materials. However, in the existing technology, the selection of packaging materials and storage conditions often fail to match the stability of the materials, which leads to the mismatch between packaging materials and materials, thus affecting the long-term storage effect of the product.

[0006] In view of this, the existing technology has obvious deficiencies in the dynamic monitoring, evaluation and optimization of the material management process. There is an urgent need for a method based on data collection and analysis to systematically solve the above problems. Summary of the invention

[0007] In view of this, the present invention proposes an experimental data management method and system for mixed materials, aiming to solve the above problems.

[0008] The present invention proposes an experimental data management method for mixed materials, comprising:

[0009] Collecting physical and chemical property data of the mixed material, storage environment data, and characteristics of packaging materials used to package the mixed material; wherein the physical and chemical property data include moisture content, particle size distribution, thermal stability, and chemical reactivity;

[0010] Analyze and calculate based on the physical and chemical property data to obtain mixing uniformity and material stability; analyze and calculate based on packaging material properties and storage environment data to obtain packaging material adaptability;

[0011] Plan initial material inventory parameters based on material stability, mixing uniformity, and packaging material compatibility;

[0012] Based on the storage environment data combined with the thermal stability and mechanical stability of the mixed material, the stability coefficient of the material during the inventory process is calculated; the stability coefficient is used to adjust the initial material inventory parameters to obtain the optimal material inventory parameters.

[0013] Preferably, the moisture content is calculated by the following formula:

[0014] ;

[0015] Where W represents the moisture content; m wet Indicates the mass of wet material, m dry Indicates the mass of dry material;

[0016] The thermal stability is calculated by the following formula:

[0017] ;

[0018] Wherein, Sthermal represents the thermal stability; Eactivation represents the thermal activation energy of the material, the unit is J / mol, which represents the energy required for the material to undergo a thermal reaction; ΔHthermal represents the thermal reaction enthalpy change of the material, the unit is J, which represents the change in heat during the pyrolysis reaction;

[0019] The chemical reactivity is calculated by the following formula:

[0020] ;

[0021] Wherein, Schem represents the chemical reactivity; ΔHreaction represents the change of reaction heat during the chemical reaction, in J / mol; ΔT represents the range of temperature change, in K;

[0022] The particle size distribution is calculated by the following formula:

[0023] ;

[0024] Wherein, Ssize represents the particle size distribution; σsize represents the standard deviation of the particle size distribution, reflecting the particle size heterogeneity.

[0025] Preferably, the analysis and calculation based on the physicochemical property data to obtain the mixing uniformity and material stability includes:

[0026] The material stability is calculated by the following formula:

[0027] ;

[0028] ;

[0029] Wherein, Smat represents material stability; Smix represents the mixing uniformity coefficient; σmix represents the standard deviation of mixing uniformity, reflecting the consistency of material mixing.

[0030] Preferably, the packaging material properties include moisture permeability, mechanical strength and oxidation resistance;

[0031] Wherein, the moisture permeability is calculated by the following formula:

[0032] ;

[0033] Wherein, Ph represents the moisture permeability; mwater represents the amount of water vapor passing through the packaging material; A represents the area of ​​the packaging material; t represents time;

[0034] The mechanical strength is calculated by the following formula:

[0035] ;

[0036] Wherein, Sstrength represents the mechanical strength; Sstrength,max represents the maximum bearing strength of the packaging material; Sstrength,current represents the actual strength of the current packaging material;

[0037] The antioxidant activity is calculated by the following formula:

[0038] ;

[0039] Wherein, Soxidation represents the antioxidant property; k ox represents the antioxidant reaction rate constant; t represents time.

[0040] Preferably, the analysis and calculation based on the packaging material characteristics and storage environment data to obtain the packaging material adaptability includes:

[0041] The packaging material adaptability is calculated by the following formula:

[0042] ;

[0043] Wherein, Senv represents the adaptability of the packaging material; Ppermeability represents the moisture permeability of the packaging material; Pstrength represents the mechanical strength of the packaging material; Poxidation represents the antioxidant property of the packaging material; w1, w2, w3 represent the weights of moisture permeability, mechanical strength and antioxidant property in the packaging adaptability, respectively, satisfying w1+w2+w3=1; Tenv and RHenv represent the temperature and relative humidity in the storage environment, respectively; Topt and RHopt represent the optimal storage temperature and humidity, respectively; γenv and δenv represent the adjustment coefficients of environmental factors on the packaging adaptability, respectively, reflecting the influence of temperature and humidity on the adaptability of packaging materials when they deviate from the optimal values.

[0044] Preferably, planning the initial material inventory parameters according to the material stability, mixing uniformity and packaging material adaptability includes:

[0045] The initial material inventory parameters include initial safety inventory;

[0046] The initial safety stock is calculated by the following formula:

[0047] ;

[0048] Among them, Sstock represents the initial safety stock; γ represents the adjustment coefficient, which reflects the increase in inventory safety when the material stability is poor; η1, η2, η3 represent the weights of material stability, mixing uniformity and packaging material adaptability, respectively, satisfying η1+η2+η3=1.

[0049] Preferably, the initial material inventory parameters also include an initial re-inspection period, and the initial re-inspection period is calculated by the following formula:

[0050] ;

[0051] Among them, Tcheck represents the initial re-inspection cycle; Tmax represents the maximum allowable re-inspection cycle; Smat represents the material stability coefficient; Senv represents the packaging material adaptability coefficient; α and β represent adjustment coefficients, respectively, reflecting the influence of material stability and packaging material adaptability on the re-inspection cycle.

[0052] Preferably, the calculation of the stability coefficient of the material during the storage process based on the storage environment data combined with the thermal stability and mechanical stability of the mixed material includes:

[0053] The stability coefficient is calculated by the following formula:

[0054] ;

[0055] Wherein, Sstock,stability represents the stability coefficient; Smechanical represents the mechanical stability coefficient of the material; λtemp and λhum represent the environmental factor adjustment coefficients of temperature and humidity, respectively, reflecting the influence of temperature and humidity deviating from the optimal value on the stability of the material;

[0056] The mechanical stability coefficient is calculated by the following formula:

[0057] ;

[0058] Among them, fload represents the load factor that the mixed material bears during storage; αtemp and βhum represent the adjustment coefficients of temperature and humidity on mechanical stability, respectively, reflecting the impact of temperature and humidity on mechanical stability when they deviate from the optimal values.

[0059] Preferably, the stability coefficient is used to adjust the initial material inventory parameters to obtain the optimal material inventory parameters, including:

[0060] The optimal material inventory parameters include optimal safety inventory and optimal re-inspection cycle;

[0061] The optimal safety stock is calculated by the following formula:

[0062] ;

[0063] The optimal re-inspection period is calculated by the following formula:

[0064] ;

[0065] Among them, Sstock,optimal represents the optimal safety stock; Tcheck,optimal represents the optimal recheck cycle; κ and λ represent adjustment coefficients, reflecting the impact of stability on the safety stock and recheck cycle.

[0066] The present invention also proposes an experimental data management system for mixed materials, which is used to implement the above-mentioned experimental data management method for mixed materials, including a collection module, a storage module, an analysis and calculation module, a planning module and an adjustment module;

[0067] Wherein, the acquisition module is used to collect the physical and chemical property data of the mixed material, the storage environment data and the characteristics of the packaging material used to package the mixed material;

[0068] The storage module is used to store the collected physical and chemical property data, storage environment data and packaging material properties;

[0069] The analysis and calculation module is used to perform analysis and calculation based on the physicochemical property data to obtain mixing uniformity and material stability; perform analysis and calculation based on packaging material properties and storage environment data to obtain packaging material adaptability;

[0070] The planning module is used to plan initial material inventory parameters according to the material stability, mixing uniformity and packaging material adaptability;

[0071] The adjustment module is used to calculate the stability coefficient of the material during the inventory process based on the storage environment data combined with the thermal stability and mechanical stability of the mixed material; the stability coefficient is used to adjust the initial material inventory parameters to obtain the optimal material inventory parameters.

[0072] Compared with the prior art, the present invention has the following beneficial effects:

[0073] The present invention collects the physical and chemical property data of the mixed material, the packaging material properties and the storage environment data, and performs comprehensive analysis and calculation, and proposes a data-driven mixed material experimental data management method, which has the following technical advantages:

[0074] Improve material stability and mixing uniformity: This technical solution can accurately evaluate the stability and mixing uniformity of materials by comprehensively analyzing the physical and chemical properties of the mixed materials (such as moisture content, particle size distribution, thermal stability and chemical reactivity). By optimizing storage conditions and adjusting inventory parameters (such as safety inventory and re-inspection cycle), the stability of materials can be enhanced to ensure product quality.

[0075] Dynamically adjust material management according to the environment and packaging material characteristics: This technical solution combines the packaging material's moisture permeability, mechanical strength, antioxidant properties, and storage environment data (such as temperature and humidity) to effectively evaluate the compatibility between packaging materials and materials. By adjusting the selection of packaging materials and storage conditions, it ensures that the packaging materials can protect the materials to the greatest extent, extend the shelf life of the products, and avoid material deterioration due to incompatible packaging materials.

[0076] Enhance the intelligence of inventory management: By calculating the stability coefficient of materials and dynamically adjusting initial inventory parameters (such as safety stock and re-inspection cycle) according to environmental factors, mixing uniformity and packaging material adaptability, this technical solution can provide the best material inventory management solution, reduce inventory waste and optimize resource allocation.

[0077] Data-driven decision support: This technical solution uses data analysis technology to automatically calculate and optimize inventory management strategies, avoiding the limitations of traditional methods that rely on experience and manual judgment, improving management efficiency and accuracy, reducing the impact of human factors on management results, and improving the overall management level.

[0078] Improve the transparency of material transportation and storage processes: This technical solution collects data such as temperature, vibration, and acceleration during transportation to monitor the stability of materials in real time, adjust the transportation route in a timely manner, avoid material quality problems caused by environmental changes during transportation, and further ensure product safety and stability.

[0079] In summary, the present invention provides a comprehensive, accurate, data-driven mixed material experimental data management solution with significant technical advantages. It not only improves the intelligent level of material management, but also effectively ensures the quality and stability of the product, and has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0081] Figure 1 It is a schematic flow chart of the experimental data management method for mixed materials of the present invention;

[0082] Figure 2 The functional block diagram of the experimental data management method system for mixed materials of the present invention. DETAILED DESCRIPTION

[0083] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0084] See also Figure 1 , this embodiment provides an experimental data management method for mixed materials, including:

[0085] Collecting physical and chemical property data of the mixed material, storage environment data, and characteristics of packaging materials used to package the mixed material; wherein the physical and chemical property data include moisture content, particle size distribution, thermal stability, and chemical reactivity;

[0086] Analyze and calculate based on the physical and chemical property data to obtain mixing uniformity and material stability; analyze and calculate based on packaging material properties and storage environment data to obtain packaging material adaptability;

[0087] Plan initial material inventory parameters based on material stability, mixing uniformity, and packaging material compatibility;

[0088] Based on the storage environment data combined with the thermal stability and mechanical stability of the mixed material, the stability coefficient of the material during the inventory process is calculated; the stability coefficient is used to adjust the initial material inventory parameters to obtain the optimal material inventory parameters.

[0089] It can be understood that this embodiment provides an experimental data management method for mixed materials, which aims to optimize the storage and management process of materials and ensure the quality and performance of materials. The specific steps are as follows:

[0090] First, the mixed material is subjected to detailed physicochemical characterization, collecting key data including but not limited to moisture content, particle size distribution, thermal stability, and chemical reactivity. These data are essential to understanding the basic properties and behavior of the material.

[0091] At the same time, data related to the material storage environment, such as temperature, humidity, light intensity, etc., as well as the characteristics of the packaging materials used to package the mixed materials, including the material's air permeability, temperature resistance, chemical corrosion resistance, etc.

[0092] Using the collected physical and chemical property data, scientific analysis and calculation methods are used to evaluate the mixing uniformity and material stability of the mixed materials. Mixing uniformity is directly related to the use effect and safety of the material, while material stability affects its quality maintenance during storage.

[0093] Combining the characteristics of the packaging material and the storage environment data, further analysis and calculation are performed to determine the compatibility of the packaging material with the mixed material. Packaging with good compatibility can effectively protect the material and prevent it from being affected by environmental factors during storage.

[0094] Based on the analysis results of material stability, mixing uniformity and packaging material adaptability, the initial material inventory parameters are planned. These parameters include inventory quantity, storage conditions, shelf life, etc., providing preliminary guidance for material storage and management.

[0095] Finally, based on the storage environment data, combined with the thermal stability and mechanical stability of the mixed materials, the stability coefficient of the materials during the storage process is calculated. The stability coefficient reflects the quality change trend of the materials under specific storage conditions and is an important indicator for assessing the storage risk of materials.

[0096] The calculated stability coefficient is used to adjust the initial material inventory parameters to obtain the optimal material inventory parameters. In this way, the quality of the materials during storage can be guaranteed to the greatest extent, while optimizing inventory management and reducing unnecessary losses and costs.

[0097] In summary, the experimental data management method of this embodiment realizes the refined and scientific management of mixed material inventory by comprehensively considering the physicochemical properties of the materials, the characteristics of the packaging materials and the storage environment factors, which helps to improve the utilization efficiency and economic benefits of the materials.

[0098] In some embodiments of the present application, the moisture content is calculated by the following formula:

[0099] ;

[0100] Where W represents the moisture content; m wet Indicates the mass of wet material, m dry Indicates the mass of dry material;

[0101] The thermal stability is calculated by the following formula:

[0102] ;

[0103] Wherein, Sthermal represents the thermal stability; Eactivation represents the thermal activation energy of the material, the unit is J / mol, which represents the energy required for the material to undergo a thermal reaction; ΔHthermal represents the thermal reaction enthalpy change of the material, the unit is J, which represents the change in heat during the pyrolysis reaction.

[0104] The chemical reactivity is calculated by the following formula:

[0105] ;

[0106] Wherein, Schem represents the chemical reactivity; ΔHreaction represents the change of reaction heat during the chemical reaction, in J / mol; ΔT represents the range of temperature change, in K;

[0107] The particle size distribution is calculated by the following formula:

[0108] ;

[0109] Wherein, Ssize represents the particle size distribution; σsize represents the standard deviation of the particle size distribution, reflecting the particle size heterogeneity.

[0110] It can be seen that this embodiment provides a method for quantifying the key characteristics of the mixed material, which are essential for evaluating the suitability and storage conditions of the material. Through these calculation formulas, more accurate and quantitative data can be obtained, thereby providing a scientific basis for the storage and management of materials. In practical applications, these calculation formulas can be integrated into a data management system that can automatically collect and analyze relevant data to provide real-time guidance for the storage and use of materials.

[0111] In some embodiments of the present application, when analyzing and calculating based on the physicochemical property data to obtain the mixing uniformity and material stability, the following steps are included:

[0112] The material stability is calculated by the following formula:

[0113] ;

[0114] ;

[0115] Wherein, Smat represents material stability; Smix represents the mixing uniformity coefficient; σmix represents the standard deviation of mixing uniformity, reflecting the consistency of material mixing.

[0116] It is understandable that, in calculating the material stability, this embodiment takes into account the mixing uniformity coefficient Smix and the standard deviation σmix of the mixing uniformity, which together determine the stability of the material during storage. The mixing uniformity coefficient Smix reflects the uniformity of the material mixing, while the standard deviation σmix provides a quantitative indicator of the mixing uniformity fluctuation.

[0117] Through these calculations, it is possible to accurately assess the stability of the material under different conditions. For example, a high Smix value and a low σmix value indicate that the material is mixed very evenly and the mixing quality is very consistent, thus maintaining high stability during storage.

[0118] Therefore, the experimental data management method of this embodiment not only provides an in-depth analysis of the physical and chemical properties of the mixed material, but also combines the storage environment data to provide a comprehensive scientific basis for the storage and management of the material. This helps enterprises or research institutions make more informed decisions during the material procurement, storage and use process, thereby improving the use efficiency and economic benefits of the material.

[0119] In some embodiments of the present application, the packaging material properties include moisture permeability, mechanical strength and oxidation resistance;

[0120] Wherein, the moisture permeability is calculated by the following formula:

[0121] ;

[0122] Wherein, Ph represents the moisture permeability; mwater represents the amount of water vapor passing through the packaging material; A represents the area of ​​the packaging material; t represents time;

[0123] The mechanical strength is calculated by the following formula:

[0124] ;

[0125] Wherein, Sstrength represents the mechanical strength; Sstrength,max represents the maximum bearing strength of the packaging material; Sstrength,current represents the actual strength of the current packaging material;

[0126] The antioxidant activity is calculated by the following formula:

[0127] ;

[0128] Wherein, Soxidation represents the antioxidant property; k ox represents the antioxidant reaction rate constant; t represents time.

[0129] It can be understood that this embodiment provides a comprehensive quantitative index for evaluating the performance of packaging materials by considering the moisture permeability, mechanical strength and oxidation resistance of packaging materials. Moisture permeability reflects the barrier ability of packaging materials to water vapor, mechanical strength reflects the ability of packaging materials to resist damage when subjected to external forces, and oxidation resistance describes the ability of packaging materials to resist oxidation reactions. These characteristics are crucial to ensure the stability of the materials in the package and extend their shelf life. Through these calculations, the performance of different packaging materials under specific conditions can be accurately evaluated.

[0130] In some embodiments of the present application, when analyzing and calculating based on the packaging material characteristics and storage environment data to obtain the packaging material adaptability, the method includes:

[0131] The packaging material adaptability is calculated by the following formula:

[0132] ;

[0133] Wherein, Senv represents the adaptability of the packaging material; Ppermeability represents the moisture permeability of the packaging material; Pstrength represents the mechanical strength of the packaging material; Poxidation represents the antioxidant property of the packaging material; w1, w2, w3 represent the weights of moisture permeability, mechanical strength and antioxidant property in the packaging adaptability, respectively, satisfying w1+w2+w3=1; Tenv and RHenv represent the temperature and relative humidity in the storage environment, respectively; Topt and RHopt represent the optimal storage temperature and humidity, respectively; γenv and δenv represent the adjustment coefficients of environmental factors on the packaging adaptability, respectively, reflecting the influence of temperature and humidity on the adaptability of packaging materials when they deviate from the optimal values.

[0134] It can be understood that this embodiment can more accurately evaluate the suitability of packaging materials by comprehensively considering the moisture permeability, mechanical strength and oxidation resistance of packaging materials, as well as the specific conditions of the storage environment. This evaluation method not only considers the characteristics of the material itself, but also considers the impact of environmental factors on packaging performance, thereby providing a scientific basis for selecting the most suitable packaging material.

[0135] In practical applications, the weight coefficients w1, w2 and w3 can be adjusted according to different storage environments and packaging requirements to highlight the importance of a certain characteristic. For example, for easily oxidizable items that need to be stored for a long time, the weight of antioxidant properties can be increased to ensure that the packaging material can provide adequate protection. For items that need to maintain a certain humidity, the weight of moisture permeability may be increased.

[0136] In addition, by adjusting the values ​​of γenv and δenv, the consideration of environmental factors can be further refined. When the temperature and humidity of the storage environment are significantly different from the optimal storage conditions, these adjustment factors will have a significant impact on the adaptability of the packaging material, thereby guiding users to choose a packaging solution that is more suitable for a specific environment.

[0137] In summary, the packaging material suitability assessment method provided in this embodiment provides a comprehensive quantitative analysis tool for packaging design and material selection by combining material properties with environmental factors.

[0138] In some embodiments of the present application, when planning the initial material inventory parameters according to the material stability, mixing uniformity and packaging material adaptability, it includes:

[0139] The initial material inventory parameters include initial safety inventory;

[0140] The initial safety stock is calculated by the following formula:

[0141] ;

[0142] Among them, Sstock represents the initial safety stock; γ represents the adjustment coefficient, which reflects the increase in inventory safety when the material stability is poor; η1, η2, η3 represent the weights of material stability, mixing uniformity and packaging material adaptability, respectively, satisfying η1+η2+η3=1.

[0143] It can be understood that this embodiment can more accurately plan the initial material inventory parameters and ensure the stability and efficiency of the supply chain by comprehensively considering the stability of the material, the uniformity of mixing, and the adaptability of the packaging material. The calculation of the initial safety stock takes into account the increased demand for inventory security when the material stability is poor, as well as the relative importance of different factors in inventory planning. The introduction of the adjustment coefficient γ allows the inventory to be increased to prevent potential supply disruptions when the material stability is poor. At the same time, by adjusting the values ​​of η1, η2, and η3, the inventory strategy can be flexibly adjusted according to the different material characteristics and packaging requirements to achieve the optimal inventory level.

[0144] In some embodiments of the present application, the initial material inventory parameter also includes an initial re-inspection period, and the initial re-inspection period is calculated by the following formula:

[0145] ;

[0146] Among them, Tcheck represents the initial re-inspection cycle; Tmax represents the maximum allowable re-inspection cycle; Smat represents the material stability coefficient; Senv represents the packaging material adaptability coefficient; α and β represent adjustment coefficients, respectively, reflecting the influence of material stability and packaging material adaptability on the re-inspection cycle.

[0147] It can be understood that this embodiment can arrange the re-inspection plan more reasonably and ensure the quality of materials during storage and use by considering the impact of material stability and packaging material adaptability on the re-inspection cycle. The calculation of the initial re-inspection cycle takes into account the combined impact of material stability and packaging material adaptability on the re-inspection cycle, as well as the limitation of the maximum allowable re-inspection cycle. The introduction of adjustment coefficients α and β makes it possible to flexibly adjust the re-inspection cycle according to different material characteristics and storage environments, so as to achieve the purpose of both ensuring material quality and avoiding excessive inspection. Through such a calculation method, scientific decision-making support can be provided for the storage and management of materials, optimize inventory management processes, and reduce unnecessary costs.

[0148] In some embodiments of the present application, the calculation of the stability coefficient of the material during the storage process based on the storage environment data combined with the thermal stability and mechanical stability of the mixed material includes:

[0149] The stability coefficient is calculated by the following formula:

[0150] ;

[0151] Wherein, Sstock,stability represents the stability coefficient; Smechanical represents the mechanical stability coefficient of the material; λtemp and λhum represent the environmental factor adjustment coefficients of temperature and humidity, respectively, reflecting the influence of temperature and humidity deviating from the optimal value on the stability of the material;

[0152] The mechanical stability coefficient is calculated by the following formula:

[0153] ;

[0154] Among them, fload represents the load factor that the mixed material bears during storage; αtemp and βhum represent the adjustment coefficients of temperature and humidity on mechanical stability, respectively, reflecting the impact of temperature and humidity on mechanical stability when they deviate from the optimal values.

[0155] It can be understood that this embodiment can more accurately evaluate the stability of materials in the actual storage environment by comprehensively considering the impact of the two environmental factors of temperature and humidity on the stability of the materials, as well as the loads that the mixed materials bear during storage. The calculation of the stability coefficient takes into account the thermal stability and mechanical stability of the materials, as well as the impact of environmental factors on these stabilities. The introduction of the environmental factor adjustment coefficients λtemp and λhum of temperature and humidity makes it possible to quantify the impact of environmental changes on the stability of materials, thereby providing a scientific basis for adjusting the storage conditions of materials. The calculation of the mechanical stability coefficient further refines the stability assessment of materials under different loads, and the adjustment coefficients of αtemp and βhum reflect the degree of influence of temperature and humidity on mechanical stability. Through such a calculation method, more precise guidance can be provided for the storage and management of materials, ensuring the quality of materials during the inventory process, reducing material losses caused by environmental factors, and improving the efficiency and effectiveness of inventory management.

[0156] In some embodiments of the present application, the stability coefficient is used to adjust the initial material inventory parameters to obtain the optimal material inventory parameters, including:

[0157] The optimal material inventory parameters include optimal safety inventory and optimal re-inspection cycle;

[0158] The optimal safety stock is calculated by the following formula:

[0159] ;

[0160] The optimal re-inspection period is calculated by the following formula:

[0161] ;

[0162] Among them, Sstock,optimal represents the optimal safety stock; Tcheck,optimal represents the optimal recheck cycle; κ and λ represent adjustment coefficients, reflecting the impact of stability on the safety stock and recheck cycle.

[0163] It can be understood that this embodiment can optimize inventory management more accurately by considering the impact of material stability and storage environment on safety stock and re-inspection cycle. The calculation of the optimal safety stock takes into account the impact of material stability on inventory levels to ensure that there is sufficient inventory to cope with demand fluctuations and potential material quality degradation. The calculation of the optimal re-inspection cycle combines the impact of material stability on inspection frequency to avoid unnecessary frequent inspections while ensuring material quality. The introduction of adjustment coefficients κ and λ allows for flexible adjustment of safety stock and re-inspection cycle according to material characteristics and actual storage conditions to achieve the best inventory management effect. Through such a calculation method, more accurate guidance can be provided for the storage and management of materials, ensuring the quality of materials during the inventory process and reducing inventory costs.

[0164] See also Figure 2 , the present invention also proposes an experimental data management system for mixed materials, which is used to implement the above-mentioned experimental data management method for mixed materials, including a collection module, a storage module, an analysis and calculation module, a planning module and an adjustment module;

[0165] Wherein, the acquisition module is used to collect the physical and chemical property data of the mixed material, the storage environment data and the characteristics of the packaging material used to package the mixed material;

[0166] The storage module is used to store the collected physical and chemical property data, storage environment data and packaging material properties;

[0167] The analysis and calculation module is used to perform analysis and calculation based on the physicochemical property data to obtain mixing uniformity and material stability; perform analysis and calculation based on packaging material properties and storage environment data to obtain packaging material adaptability;

[0168] The planning module is used to plan initial material inventory parameters according to the material stability, mixing uniformity and packaging material adaptability;

[0169] The adjustment module is used to calculate the stability coefficient of the material during the inventory process based on the storage environment data combined with the thermal stability and mechanical stability of the mixed material; the stability coefficient is used to adjust the initial material inventory parameters to obtain the optimal material inventory parameters.

[0170] It is understandable that this embodiment can realize comprehensive management of mixed materials by integrating the experimental data management system, from data collection to analysis and calculation, and then to the planning and adjustment of inventory parameters, forming a closed-loop management process. The design of the experimental data management system is to improve the efficiency and accuracy of material management and ensure the quality of materials during storage and use. Through the collaborative work of the acquisition module, storage module, analysis and calculation module, planning module and adjustment module, real-time monitoring and management of mixed materials can be achieved, thereby optimizing inventory levels, reducing material losses, and improving the scientificity and economy of inventory management.

[0171] In practical applications, the experimental data management system can be integrated with existing enterprise resource planning (ERP) systems, warehouse management systems (WMS), etc. to achieve data sharing and process automation. In addition, the system can also provide a user-friendly interface to facilitate operators to query, analyze and support data. Through the reports and charts generated by the system, managers can intuitively understand the storage status and inventory of materials, and adjust inventory strategies in time to cope with market changes and production needs.

[0172] In summary, the experimental data management system proposed in the present invention can not only improve the efficiency and accuracy of material management, but also provide scientific decision-making support for the inventory management of the enterprise, thereby reducing inventory costs while ensuring product quality.

[0173] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0174] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0175] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0176] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0177] Finally, 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 above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for managing experimental data of mixed materials, characterized in that: include: Collecting physical and chemical property data of the mixed material, storage environment data, and characteristics of packaging materials used to package the mixed material; wherein the physical and chemical property data include moisture content, particle size distribution, thermal stability, and chemical reactivity; Analyze and calculate based on the physical and chemical property data to obtain mixing uniformity and material stability; analyze and calculate based on packaging material properties and storage environment data to obtain packaging material adaptability; Plan initial material inventory parameters based on material stability, mixing uniformity, and packaging material compatibility; Based on the storage environment data combined with the thermal stability and mechanical stability of the mixed material, the stability coefficient of the material during the inventory process is calculated; the stability coefficient is used to adjust the initial material inventory parameters to obtain the optimal material inventory parameters.

2. The experimental data management method for mixed materials according to claim 1, characterized in that: The moisture content is calculated by the following formula: ； Where W represents the moisture content; m wet Indicates the mass of wet material, m dry Indicates the mass of dry material; The thermal stability is calculated by the following formula: ； Wherein, Sthermal represents the thermal stability; Eactivation represents the thermal activation energy of the material, the unit is J / mol, which represents the energy required for the material to undergo a thermal reaction; ΔHthermal represents the thermal reaction enthalpy change of the material, the unit is J, which represents the change in heat during the pyrolysis reaction; The chemical reactivity is calculated by the following formula: ； Wherein, Schem represents the chemical reactivity; ΔHreaction represents the change of reaction heat during the chemical reaction, in J / mol; ΔT represents the range of temperature change, in K; The particle size distribution is calculated by the following formula: ； Wherein, Ssize represents the particle size distribution; σsize represents the standard deviation of the particle size distribution, reflecting the particle size heterogeneity.

3. The experimental data management method for mixed materials according to claim 2, characterized in that: When analyzing and calculating based on the physical and chemical properties data to obtain mixing uniformity and material stability, it includes: The material stability is calculated by the following formula: ； ； Wherein, Smat represents material stability; Smix represents the mixing uniformity coefficient; σmix represents the standard deviation of mixing uniformity, reflecting the consistency of material mixing.

4. The experimental data management method for mixed materials according to claim 3, characterized in that: The packaging material properties include moisture permeability, mechanical strength and oxidation resistance; Wherein, the moisture permeability is calculated by the following formula: ； Wherein, Ph represents the moisture permeability; mwater represents the amount of water vapor passing through the packaging material; A represents the area of ​​the packaging material; t represents time; The mechanical strength is calculated by the following formula: ； Wherein, Sstrength represents the mechanical strength; Sstrength,max represents the maximum bearing strength of the packaging material; Sstrength,current represents the actual strength of the current packaging material; The antioxidant activity is calculated by the following formula: ； Wherein, Soxidation represents the antioxidant property; k ox represents the antioxidant reaction rate constant; t represents time.

5. The experimental data management method for mixed materials according to claim 4, characterized in that: Based on the packaging material characteristics and storage environment data, the analysis and calculation to obtain the packaging material adaptability includes: The packaging material adaptability is calculated by the following formula: ； Wherein, Senv represents the adaptability of the packaging material; Ppermeability represents the moisture permeability of the packaging material; Pstrength represents the mechanical strength of the packaging material; Poxidation represents the antioxidant property of the packaging material; w1, w2, w3 represent the weights of moisture permeability, mechanical strength and antioxidant property in the packaging adaptability, respectively, satisfying w1+w2+w3=1; Tenv and RHenv represent the temperature and relative humidity in the storage environment, respectively; Topt and RHopt represent the optimal storage temperature and humidity, respectively; γenv and δenv represent the adjustment coefficients of environmental factors on the packaging adaptability, respectively, reflecting the influence of temperature and humidity on the adaptability of packaging materials when they deviate from the optimal values.

6. The experimental data management method for mixing materials according to claim 5, characterized in that: When planning initial material inventory parameters based on material stability, mixing uniformity, and packaging material compatibility, include: The initial material inventory parameters include initial safety inventory; The initial safety stock is calculated by the following formula: ； Among them, Sstock represents the initial safety stock; γ represents the adjustment coefficient, which reflects the increase in inventory safety when the material stability is poor; η1, η2, η3 represent the weights of material stability, mixing uniformity and packaging material adaptability, respectively, satisfying η1+η2+η3=1.

7. The experimental data management method for mixed materials according to claim 6, characterized in that: The initial material inventory parameters also include an initial re-inspection period, which is calculated using the following formula: ； Among them, Tcheck represents the initial re-inspection cycle; Tmax represents the maximum allowable re-inspection cycle; Smat represents the material stability coefficient; Senv represents the packaging material adaptability coefficient; α and β represent adjustment coefficients, respectively, reflecting the influence of material stability and packaging material adaptability on the re-inspection cycle.

8. The experimental data management method for mixing materials according to claim 7, characterized in that: Based on the storage environment data combined with the thermal stability and mechanical stability of the mixed material, the stability coefficient of the material during the storage process is calculated, including: The stability coefficient is calculated by the following formula: ； Wherein, Sstock,stability represents the stability coefficient; Smechanical represents the mechanical stability coefficient of the material; λtemp and λhum represent the environmental factor adjustment coefficients of temperature and humidity, respectively, reflecting the influence of temperature and humidity deviating from the optimal value on the stability of the material; The mechanical stability coefficient is calculated by the following formula: ； Among them, fload represents the load factor that the mixed material bears during storage; αtemp and βhum represent the adjustment coefficients of temperature and humidity on mechanical stability, respectively, reflecting the impact of temperature and humidity on mechanical stability when they deviate from the optimal values.

9. The experimental data management method for mixed materials according to claim 8, characterized in that: The stability coefficient is used to adjust the initial material inventory parameters to obtain the optimal material inventory parameters, including: The optimal material inventory parameters include optimal safety inventory and optimal re-inspection cycle; The optimal safety stock is calculated by the following formula: ； The optimal re-inspection period is calculated by the following formula: ； Among them, Sstock,optimal represents the optimal safety stock; Tcheck,optimal represents the optimal recheck cycle; κ and λ represent adjustment coefficients, reflecting the impact of stability on the safety stock and recheck cycle.

10. An experimental data management system for mixed materials, used to implement the experimental data management method for mixed materials according to any one of claims 1 to 9, characterized in that: It includes acquisition module, storage module, analysis and calculation module, planning module and adjustment module; Wherein, the acquisition module is used to collect the physical and chemical property data of the mixed material, the storage environment data and the characteristics of the packaging material used to package the mixed material; The storage module is used to store the collected physical and chemical property data, storage environment data and packaging material properties; The analysis and calculation module is used to perform analysis and calculation based on the physicochemical property data to obtain mixing uniformity and material stability; perform analysis and calculation based on packaging material properties and storage environment data to obtain packaging material adaptability; The planning module is used to plan initial material inventory parameters according to the material stability, mixing uniformity and packaging material adaptability; The adjustment module is used to calculate the stability coefficient of the material during the inventory process based on the storage environment data combined with the thermal stability and mechanical stability of the mixed material; the stability coefficient is used to adjust the initial material inventory parameters to obtain the optimal material inventory parameters.

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