Method for detecting stability of slurry

Abstract

The application discloses a kind of slurry stability detection methods, comprising the following steps: providing the slurry to be measured in container and setting at least one monitoring point in the slurry in container;At multiple different time points, the buoyancy generated by the slurry at the same monitoring point in container is measured, and / or at the same time point, the buoyancy generated by the slurry to be measured at multiple different monitoring points distributed along the vertical direction in the slurry to be measured in container is measured;According to the measured buoyancy data, the density set corresponding to the monitoring point and time point is calculated respectively, according to the corresponding relationship between the preset slurry density and slurry solid content, the corresponding slurry solid content set is calculated from the slurry density set;According to slurry solid content set, the stability of the slurry to be measured is determined.The method of the application is less disturbed by other factors, ensures the reliability of slurry density, combined with subsequent density and solid content conversion, can accurately capture the early stage of sedimentation or slight stratification phenomenon, which is beneficial to early warning.

Description

Technical Field

[0001] This invention relates to the field of slurry stability measurement technology, and in particular to a method for detecting slurry stability. Background Technology

[0002] Slurry, a solid-liquid two-phase system formed by solid particles dispersed in a liquid medium, has wide applications in many industrial fields such as new energy batteries, high-end ceramics, special coatings, food, and pharmaceuticals. The stability of slurry and its core parameter, solid content, are key indicators that directly determine the consistency of final product performance, the reliability of the production process, and economic efficiency.

[0003] On the one hand, unstable slurries can cause solid particles to settle or float, leading to system stratification and problems such as uneven coating and component deviation. On the other hand, precise control of solid content is crucial for ensuring material functionality, optimizing formulation costs, and guaranteeing process stability. Therefore, there is an urgent industrial need to develop accurate and efficient detection methods that can simultaneously or in conjunction with these two indicators.

[0004] Currently, the relevant detection technologies mainly have the following limitations:

[0005] 1. Disadvantages of traditional solid content measurement methods

[0006] In industrial production, the mainstream method for detecting solid content is the drying and weighing method, which involves taking a sample, heating it to completely evaporate the liquid components, and then calculating the solid content by measuring the difference in mass before and after drying. This method has significant drawbacks: (a) it is a destructive test, and the sample cannot be reused; (b) the process is cumbersome and time-consuming, and cannot meet the needs of rapid online feedback; (c) the measurement results may be distorted, as the high-temperature drying process may cause some heat-sensitive components to decompose, denature, or undergo chemical reactions, making the measured mass of the "solid residue" not the true mass of the original solid particles; and (d) it has poor applicability to certain special systems (such as those containing high-boiling-point solvents or viscous slurries that are difficult to dry completely).

[0007] 2. Shortcomings of existing stability assessment methods

[0008] Existing methods also face challenges in stability assessment:

[0009] Traditional static settling methods (such as settling column observation) are intuitive, but they are highly subjective, difficult to quantify, and cannot obtain detailed information on the density distribution inside the slurry.

[0010] Indirect assessment methods based on rheological properties cannot directly and quantitatively reflect the spatial distribution of particles and are not sensitive to early sedimentation.

[0011] Density calculation based on pressure / differential pressure measurement: This method indirectly calculates density by measuring static pressure difference, and then assesses stratification. However, this method is susceptible to sensor drift, installation errors, and slurry rheological properties, and is particularly unsuitable for high-viscosity, non-Newtonian fluids. Furthermore, the system is complex and difficult to implement economically for high-resolution spatiotemporal dynamic monitoring.

[0012] In summary, existing technologies suffer from significant fragmentation and common deficiencies: solid content measurement relies on destructive and time-consuming offline methods, while stability assessment lacks a direct, widely applicable, and quantitative spatiotemporal evolution data-providing in-situ method. Industry urgently needs an innovative testing solution that combines these two approaches—a rapid, non-destructive, in-situ measurement method to simultaneously obtain key data reflecting solid content, thereby achieving precise control across the entire chain from formulation development to production monitoring. Summary of the Invention

[0013] This invention proposes a method for detecting slurry stability to solve the above-mentioned problems.

[0014] In a first aspect, embodiments of the present invention provide a method for detecting slurry stability, comprising the following steps:

[0015] Provide the slurry to be tested, place the slurry to be tested in a container, and set at least one monitoring point in the slurry to be tested in the container;

[0016] Obtain buoyancy data : By measuring the buoyancy of the slurry at the same monitoring point within the container at multiple different time points, the set of buoyancy changes over time at that monitoring point is obtained. ,in This indicates the monitoring time; and / or, at the same time point, measuring the buoyancy generated by the slurry at multiple different monitoring points distributed vertically within the container, obtaining the buoyancy set at that time point as the buoyancy changes with the position of the monitoring points. ,in This indicates the vertical height of the monitoring point from the top surface of the slurry;

[0017] The slurry density is calculated based on the acquired buoyancy data: based on buoyancy set and / or buoyancy collection The slurry density at the corresponding monitoring points and time points was calculated respectively. slurry density A set of densities that change over time and / or the density set that varies with the location of the monitoring point ;

[0018] Based on the preset relationship between slurry density and slurry solid content, the slurry density... The slurry solids content corresponding to the slurry density was calculated. slurry solids content The set of solid content changes over time. and / or the set of solids content that varies with the location of the monitoring point. ;

[0019] According to the solid content set and / or solids content set Determine the stability of the slurry.

[0020] Using the above technical solution, the slurry stability detection method provided by this invention directly calculates the slurry density by measuring the buoyancy of a probe immersed in the slurry and applying Archimedes' principle. This principle is simple and fundamental, and is less affected by other complex fluid dynamics factors, ensuring the directness and reliability of the slurry density source. This method can flexibly obtain density / solid content data of the same location over time. And profile data distributed along the spatial (depth) distribution at the same time point ( This, or a combination of both, enables a comprehensive and dynamic characterization of the temporal evolution and spatial stratification of slurry stability, providing richer and more three-dimensional judgment criteria. Direct measurement of buoyancy changes provides a sensitive response to minute changes in local slurry density. Combined with subsequent density and solids content conversion, it can accurately detect early settling stages or slight stratification, facilitating early warning and refined process control.

[0021] According to another specific embodiment of the present invention, buoyancy is measured by a buoyancy meter, which includes a probe that can be immersed in the slurry to be tested.

[0022] According to another specific embodiment of the present invention, the slurry density In the formula, This represents the buoyancy data measured by the buoyancy gauge, including the buoyancy set. and / or buoyancy collection The corresponding buoyancy value; This is the acceleration due to gravity, measured in m / s². 2 ; This refers to the volume of slurry displaced by the probe when it is submerged in the slurry to be tested.

[0023] According to another specific embodiment of the present invention, the slurry solids content In the formula, The density of the slurry to be tested ； The density of the solvent in the slurry to be tested; This is the mixed density of all solid components in the slurry to be tested.

[0024] According to another specific embodiment of the present invention, In the formula, , ... Solid 1, Solid 2... Solid quality , ... They are solid 1, solid 2, ... solid. density, It is a positive integer.

[0025] According to another specific embodiment of the present invention, the monitoring point is located in the region below the liquid surface of the slurry to be tested.

[0026] According to another specific embodiment of the present invention, the time interval between multiple different time points is selected from one or more of 0.5h, 1h, 2h, 2.5h, 3h, 4h, 8h, 16h, 24h, and 48h.

[0027] According to another specific embodiment of the present invention, the slurry solid content C is a set of solid contents that change over time. and / or the set of solids content that varies with the location of the monitoring point. include:

[0028] The set of solid content changes of slurry solid content over time at the same monitoring point. ,in They represent the locations at the same monitoring point. time, time…… The solid content of the slurry to be tested at any given time. This indicates monitoring time points arranged consecutively in chronological order. It is a positive integer; and / or,

[0029] The set of solid content changes of slurry solid content with monitoring point location at the same time point. ,in, These represent the monitoring points. Monitoring points ...monitoring point The slurry solids content, This indicates monitoring points that are continuously distributed along the vertical direction of the slurry being tested, from the top to the bottom of the slurry. It is a positive integer.

[0030] According to another specific embodiment of the present invention, based on the solid content set and / or solids content set Determining the stability of the slurry to be tested includes:

[0031] Calculate the rate of change of the slurry solids content over the observation period. If the rate of change If the change rate is greater than the first preset threshold, the slurry to be tested is determined to be unstable; if the change rate is greater than the first preset threshold, the slurry to be tested is determined to be unstable. If the value is not greater than the first preset threshold, the slurry to be tested is determined to be stable; and / or,

[0032] Calculate the solid content ratio or solid content difference of the slurry to be tested at different monitoring points; if the solid content ratio or solid content difference is greater than the second preset threshold, the slurry to be tested is determined to be unstable; if the solid content ratio or solid content difference is not greater than the second preset threshold, the slurry to be tested is determined to be stable.

[0033] According to another specific embodiment of the present invention, if based on the rate of change If the determination result is stable, and the determination results based on the solid content ratio or solid content difference at different monitoring points are also stable, then the stability of the slurry to be tested is finally determined to be qualified.

[0034] If based on the rate of change If the determination result is unstable, or if the determination result based on the solid content ratio or solid content difference at different monitoring points is unstable, then the slurry stability is ultimately determined to be unqualified; or,

[0035] According to the solid content set and / or solids content set Determining the stability of the slurry to be tested also includes:

[0036] Based on rate of change The comprehensive stability index is calculated by comparing the value of the solid content with the ratio or difference of the solid content at different monitoring points. ;

[0037] The comprehensive stability index Compare with a third preset threshold;

[0038] If the comprehensive stability index If the value is not less than the third preset threshold, the slurry to be tested is determined to be stable; if... If the value is less than the third preset threshold, the slurry to be tested is determined to be unstable. Attached Figure Description

[0039] Figure 1 This is a schematic flowchart of the slurry stability testing method in an embodiment of the present invention. Detailed Implementation

[0040] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Although the description of the present invention is presented in conjunction with preferred embodiments, this does not mean that the features of the invention are limited to these embodiments. On the contrary, the purpose of describing the invention in conjunction with embodiments is to cover other options or modifications that may be derived based on the claims of the present invention. To provide a deep understanding of the invention, many specific details will be included in the following description. The invention may also be implemented without using these details. Furthermore, to avoid confusion or obscuring the focus of the invention, some specific details will be omitted in the description. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0041] It should be noted that in this specification, similar reference numerals and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0042] The terms “first”, “second”, etc., are used only to distinguish descriptions and should not be interpreted as indicating or implying relative importance.

[0043] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

[0044] Firstly, reference Figure 1 The present invention provides a method for detecting slurry stability, comprising the following steps:

[0045] Provide the slurry to be tested, place the slurry to be tested in a container, and set at least one monitoring point in the slurry to be tested in the container;

[0046] Obtain buoyancy data : By measuring the buoyancy of the slurry at the same monitoring point within the container at multiple different time points, the set of buoyancy changes over time at that monitoring point is obtained. ,in This indicates the monitoring time; and / or, at the same time point, measuring the buoyancy generated by the slurry at multiple different monitoring points distributed vertically within the container, obtaining the buoyancy set at that time point as the buoyancy changes with the position of the monitoring points. ,in This indicates the vertical height of the monitoring point from the top surface of the slurry;

[0047] The slurry density is calculated based on the acquired buoyancy data: based on buoyancy set and / or buoyancy collection The slurry density at the corresponding monitoring points and time points was calculated respectively. slurry density A set of densities that change over time and / or the density set that varies with the location of the monitoring point ;

[0048] Based on the preset relationship between slurry density and slurry solid content, the slurry density... The slurry solids content corresponding to the slurry density was calculated. slurry solids content The set of solid content changes over time. and / or the set of solids content that varies with the location of the monitoring point. ;

[0049] According to the solid content set and / or solids content set Determine the stability of the slurry to be tested.

[0050] In the above manner, the slurry stability detection method provided by the embodiments of the present invention directly calculates the density of the slurry by measuring the buoyancy generated by the probe immersed in the slurry. This principle is simple and fundamental, and is less affected by other complex fluid dynamic factors, ensuring the directness and reliability of the source of the slurry density. This method can flexibly obtain density / solid content data of the same location over time. , ) and profile data distributed along the spatial (depth) distribution at the same time point ( , This, or a combination of both, enables a comprehensive and dynamic characterization of the temporal evolution and spatial stratification of slurry stability, providing richer and more three-dimensional judgment criteria. Direct measurement of buoyancy changes allows for sensitive responses to minute changes in the local density of the slurry under test. Combined with subsequent density and solids content conversion, it can accurately detect early settling stages or slight stratification, facilitating early warning and refined process control.

[0051] In some embodiments, buoyancy data It is a collection of buoyancy forces that change over time. = .

[0052] In some embodiments, buoyancy data It is the collection of buoyancy forces that change with the location of the monitoring point. .

[0053] In some embodiments, buoyancy data For buoyancy collection and buoyancy set The total set, such as including , .

[0054] In the above embodiment, buoyancy is measured by a buoyancy meter, which includes a probe that can be immersed in the slurry to be tested. Direct, in-situ measurement of buoyancy using a probe that can be immersed in the slurry provides a direct and reliable data source for subsequent density calculations. This method avoids the cumulative errors introduced by indirect measurements (such as the pressure method), is based on sound principles, and provides a stable signal.

[0055] In the above embodiments, the slurry density In the formula, This represents the buoyancy data measured by the buoyancy gauge, including the buoyancy set. and / or buoyancy collection The corresponding buoyancy value; This is the acceleration due to gravity, measured in m / s². 2 ; This refers to the volume of slurry displaced by the probe when it is submerged in the slurry to be tested.

[0056] In this embodiment, the slurry density formula directly incorporates the measured buoyancy (F). st ) and target parameter slurry density ( ) Displaced volume through probe ( This is linked to a fixed or easily calibrated parameter. The calculation process is simple and the physical meaning is clear, ensuring high accuracy and reliability in calculating the density of the slurry to be tested, and is minimally affected by the rheological properties (such as viscosity) of the slurry to be tested.

[0057] Specifically, slurry density includes buoyancy-based aggregates. The calculated set of slurry densities = Or based on buoyancy sets The calculated set of slurry densities = Or based on the above set of buoyancy and buoyancy set The set of slurry densities obtained by total set calculation , .

[0058] In the above embodiments, the slurry solids content In the formula, The density of the slurry to be tested; The density of the solvent in the slurry to be tested; This is the mixed density of all solid components in the slurry to be tested.

[0059] In this embodiment, by introducing solvent density and the mixed density of all solid components, the compositional characteristics of the slurry to be tested can be accurately reflected, so that the test results can be directly used to guide formula adjustment and production process control, realizing the direct output from physical property measurement to quality indicators.

[0060] Correspondingly, the slurry solids content includes a set of slurry densities. Slurry density set Or slurry density aggregate The calculated set of solid content can be obtained by calculating the corresponding formulas mentioned above, and will not be elaborated further here.

[0061] In the above embodiments, In the formula, , ... Solid 1, Solid 2... Solid quality , ... They are solid 1, solid 2, ... solid. The density.

[0062] In this embodiment, considering the complexity of the slurry components to be tested, the mixed density of all solid components is calculated based on the mass and density of each solid component. This improves the accuracy of the solid content calculation formula in multi-component systems and enhances the universality and detection accuracy of this method for complex slurry formulations.

[0063] In the above embodiments, the monitoring point is located below the liquid surface of the slurry being tested. Positioning the monitoring point below the liquid surface ensures that the slurry itself is the primary measurement subject, avoiding interference from surface fluctuations, evaporation, or surface effects on buoyancy measurement. This guarantees that the acquired data accurately reflects the internal state of the slurry and ensures the stability and reliability of long-term monitoring. Furthermore, Archimedes' principle requires that an object be completely submerged in a fluid for the buoyant force to equal the weight of the displaced fluid. Specifically setting the monitoring point (i.e., the probe position) below the liquid surface ensures that the probe is completely submerged during measurement, theoretically guaranteeing the effectiveness of the buoyancy measurement, which is a prerequisite for subsequent density and solids content calculations.

[0064] In the above embodiments, the time intervals between multiple different time points are selected from one or more of 0.5h, 1h, 2h, 2.5h, 3h, 4h, 8h, 16h, 24h, and 48h.

[0065] In this implementation, technicians can set the time interval and total monitoring duration according to actual needs to accommodate monitoring requirements in the early, middle, and long-term stages of the settling process. This allows for both rapid screening and long-term stability assessment, providing clear guidance for standardized testing procedures in different application scenarios. Specifically, data can be captured at a high frequency (relatively short time intervals) in the early stages of monitoring—the initial phase with the most dramatic changes and abundant information—ensuring no key dynamic information such as the inflection point of the settling rate is missed. In the phase where changes become more gradual, the sampling frequency is automatically reduced, thus significantly optimizing the operating efficiency and resource consumption of the monitoring system while ensuring data integrity. Dynamically adjusting the time interval helps obtain datasets with a better signal-to-noise ratio. During the rapid settling period, high-density data points effectively support accurate calculation and curve fitting of the settling rate (K value); during the stable period, sparse but continuous long-period data points reliably verify whether the system has reached equilibrium and provide high-quality basic data for long-term stability prediction models (such as assessing shelf life), avoiding measurement fluctuations that may be introduced by frequent sampling at equal intervals in the later stages from interfering with the overall trend judgment.

[0066] In the above embodiments, the slurry solids content The set of solid content changes over time. Specifically, it refers to the set of slurry solids content changes over time at the same monitoring point. ,in They represent the locations at the same monitoring point. time, time…… The solid content of the slurry to be tested at any given time. This indicates monitoring time points arranged consecutively in chronological order. It is a positive integer.

[0067] By employing the above methods, the stability assessment of the slurry under test is upgraded from traditional static to dynamic monitoring, and time series data is defined. This method obtains the continuous evolution trajectory of the solid content of the slurry at a specific location over time, ensuring the objectivity and repeatability of the evaluation process. It also makes it easier to identify data with large errors, thereby improving the accuracy of slurry stability judgment.

[0068] Based on the complete The dataset allows for further precise calculation of the instantaneous and average rates of settling (or suspension). This capability enables the method to provide early warning by monitoring the accelerating trend of solid content changes before stratification becomes visible to the naked eye or poses substantial harm. Furthermore, the settling rate itself is a core process parameter for evaluating dispersant effectiveness and predicting the long-term stability of slurries. Sequences provide the most direct way to obtain this information.

[0069] To ensure the validity of the data, the method explicitly requires... The data is arranged strictly in chronological order. This ensures the correctness of the data's temporal logic and avoids analytical confusion. Furthermore, when conducting cross-sectional comparisons of different batches or formulations of slurry, the data is based on identical or clearly defined principles. Comparing data structures ensures fairness in the comparison and reliability of the conclusions, eliminating potential errors caused by inconsistent data collection methods.

[0070] In some embodiments, n can be 7. The timeframes can be 0h, 2h, 4h, 8h, 16h, 24h, or 48h, and technicians can adjust them according to actual needs. The numerical values ​​and time intervals are not limited in this implementation.

[0071] In the above embodiments, the slurry solids content Set of solid content varying with monitoring point location Specifically, it refers to:

[0072] The set of slurry solids content changes with the location of monitoring points at the same time point. ,in, These represent the monitoring points. Monitoring points ...monitoring point The slurry solids content, This indicates that monitoring points are continuously distributed along the vertical direction from the top to the bottom of the slurry being tested. It is a positive integer.

[0073] Data sets defined by spatial dimensions This method shifts the focus of stability assessment from single-point evolution to spatial distribution structure, and can directly and quantitatively depict the solid content distribution of the slurry under test in the vertical direction. This allows for a direct and intuitive understanding of whether stratification exists, the location of the stratification interface, and the steepness of the concentration gradient, transforming the previously invisible internal inhomogeneity into clear and quantifiable spatial data.

[0074] Based on this The establishment of the set provides a direct and objective quantitative benchmark for determining the uniformity of the slurry under test. This is achieved by calculating monitoring points at different heights (e.g., representing the top and bottom). and By using the ratio or difference of solid content of the solid content and setting a threshold, the severity of stratification can be accurately determined. This changes the traditional subjective method of relying on visual observation of the settlement interface, and makes the uniformity judgment standardized and digitalized. The results are reproducible and comparable.

[0075] Going further, Profile data can not only determine whether stratification occurs, but also pinpoint exactly where stratification is most severe, such as identifying whether it is bottom sedimentation, a thick slurry layer in the middle, or a clear liquid layer at the top. This precise location is crucial for diagnosing the root causes of stability problems (such as particle size distribution and flocculation state) and guiding targeted process optimization (such as adjusting stirring intensity and optimizing stabilizer addition strategies).

[0076] To ensure the rigor of spatial dimension analysis, specific requirements are set for monitoring points. The data must be "continuously distributed along the vertical direction." This design ensures the spatial order and systematic coverage of the data, thus laying a structured foundation for calculating concentration gradients, plotting complete distribution curves, and conducting spatial statistical analysis. Simultaneously, this logical consistency allows for rigorous longitudinal and lateral comparisons of profile data from different batches and time points.

[0077] In some embodiments, n can be 4. These correspond to locations 0cm, 5cm, 10cm, and 15cm below the liquid surface, respectively. Technicians can also adjust the spacing of the monitoring points in the vertical direction according to actual needs, but this implementation method does not impose any restrictions on this.

[0078] In some embodiments, the method for detecting slurry stability may include simultaneously acquiring the above-mentioned... and Set, to obtain These two approaches complement each other, jointly constructing a comprehensive, three-dimensional, and quantitative evaluation system for slurry stability from two orthogonal dimensions: "spatial profile" and "temporal evolution," thereby improving the accuracy of slurry stability testing. Specifically, and The data in the set is shown in the table below, where =5, =6, the horizontal column represents the set of solid content at different time points corresponding to the same monitoring point. The vertical columns represent the sets of solid content at different monitoring points at the same time. :

[0079]

[0080] By selecting multiple time points and multiple monitoring points, the amount of data collected is increased, which helps to improve the accuracy of slurry stability testing.

[0081] In the above embodiments, based on the solid content set and / or solids content set Determining the stability of the slurry to be tested includes: calculating the rate of change of the slurry's solid content over the observation period. ,in, , , If the rate of change If the change rate is greater than the first preset threshold, the slurry to be tested is determined to be unstable; if the change rate is greater than the first preset threshold, the slurry to be tested is determined to be unstable. If the value is not greater than the first preset threshold, the slurry to be tested is determined to be stable.

[0082] Specifically, by calculating the rate of change of solid content over the observation period. (Right now ), and compare it with the preset first preset threshold: if If the solid content exceeds the first preset threshold, the slurry is determined to be unstable, indicating that the solid content changes too rapidly, which may suggest risks such as sedimentation, agglomeration, or phase separation; if... If the solids content does not exceed a first preset threshold, the slurry is considered stable, indicating that the change in solids content is within an acceptable range. This determination method provides a real-time, data-driven monitoring tool that can promptly detect unstable trends in the slurry, helping to optimize process control, prevent quality defects, and improve the reliability and consistency of the production process. Simultaneously, the threshold-based judgment mechanism avoids subjective assumptions, making stability assessment more accurate and efficient, and providing crucial decision-making basis for slurry storage, transportation, and application.

[0083] In the above embodiments, based on the solid content set and / or solids content set Determining the stability of the slurry to be tested includes: calculating the solid content ratio of the slurry at different monitoring points. Or the difference in solid content If the solid content ratio or solid content difference is greater than the second preset threshold, the slurry to be tested is determined to be unstable; if the solid content ratio or solid content difference is not greater than the second preset threshold, the slurry to be tested is determined to be stable.

[0084] By monitoring solids content data in real-time or at specific locations and calculating the solids content ratio or difference between different points, stability judgments that previously relied on empirical observation are transformed into quantifiable indicators, reducing subjective errors and facilitating integration into automated production or monitoring systems. Furthermore, before significant stratification or sedimentation occurs in the slurry, trends of decreasing uniformity can be detected through data changes, providing timely instability warnings and offering a window for process adjustments or interventions, thus preventing product defects or production interruptions caused by slurry inhomogeneity. Moreover, by setting a unified second preset threshold as a judgment standard, consistency in stability judgments across different batches or under different monitoring conditions is ensured, contributing to standardized quality control and improving the reliability and repeatability of product performance. Finally, by analyzing abnormal change patterns in the solids content ratio or difference, the source of slurry instability (such as uneven mixing or sedimentation during transport) can be identified, providing data for process parameter adjustments or equipment improvements, thereby optimizing the production process.

[0085] In the above embodiments, based on the solid content set and / or solids content set Determining the stability of the slurry to be tested includes: simultaneously calculating the rate of change. The ratio of solid content to total solid content .

[0086] In some implementations, if based on the rate of change If the determination result is stable, and the determination results based on the solid content ratio or solid content difference at different monitoring points are also stable, then the stability of the slurry to be tested is finally determined to be qualified; if based on the rate of change... If the determination result is unstable, or if the determination result based on the solid content ratio or solid content difference at different monitoring points is unstable, then the stability of the slurry to be tested is ultimately determined to be unqualified.

[0087] Specifically, firstly, trend analysis (rate of change) is performed on the time dimension (the change in slurry solids content over time at the same monitoring point). This approach combines spatial dimension (the change in slurry solids content with monitoring locations at the same time point) uniformity analysis (the ratio / difference of solids content between monitoring points) to overcome the blind spots that may exist in a single judgment dimension, ensuring that both the accumulation of unstable trends over time and the differences in spatial distribution can be effectively captured. Secondly, it greatly enhances the robustness and anti-interference ability of the judgment results. Using "AND" logic to determine pass / fail (both must be stable) ensures that the final "pass" conclusion undergoes more rigorous cross-validation, resulting in higher credibility and effectively reducing misjudgments caused by fluctuations or transient anomalies in single-point data. More importantly, using "OR" logic to determine failure / failure establishes a highly sensitive risk control mechanism. If instability is detected in either the temporal or spatial dimension, the system will trigger a failure judgment, prioritizing the prevention of overlooked risks and enabling rapid responses to potential process anomalies, equipment failures, or formulation problems. This prevents unstable slurry from entering subsequent processes, playing a crucial preventative protective role.

[0088] In some implementations, to avoid the logical complexity and result conflicts that may result from judging multiple thresholds separately, the solid content set is used. and / or solids content set Determining the stability of the slurry to be tested also includes:

[0089] Based on rate of change The comprehensive stability index SI is calculated by comparing the value of the solid content with the ratio or difference of the solid content at different monitoring points.

[0090] The overall stability index SI is compared with the third preset threshold.

[0091] If the overall stability index SI is not less than the third preset threshold, the slurry to be tested is determined to be stable; if SI is less than the third preset threshold, the slurry to be tested is determined to be unstable.

[0092] In this embodiment, by integrating the rate of change (K) of the slurry solids content over time with the distribution differences (solids content ratio / solids content difference) at different monitoring locations into a single comprehensive stability index (SI) through a mathematical model, the logical conflicts and subjective ambiguities that may occur when multiple rules are used for independent judgment are overcome, significantly improving the objectivity, consistency, and repeatability of the judgment results. Furthermore, the calculation of the comprehensive stability index can balance the contributions of trend stability in the time dimension and distribution uniformity in the spatial dimension. Even if a single solids content parameter experiences critical fluctuations, buffering and correction can be performed from a holistic perspective, thereby avoiding misjudgments of the overall stability state of the slurry and enhancing the robustness and fault tolerance of the judgment system. Moreover, continuous SI values ​​themselves constitute a quantitative scale of stability, which can not only be used for the final "qualified / unqualified" judgment, but also reflect the risk level of slurry instability through its numerical magnitude and trend. This allows for early warning signals to be issued before the slurry stability is completely lost, providing a crucial time window and data basis for proactive intervention and adjustment of process parameters.

[0093] Specifically, in this embodiment, the comprehensive stability index The calculation formula is:

[0094] (1)

[0095] or

[0096] (2)

[0097] in, For reference rate of change, This is the solid content ratio. This represents the maximum difference in solid content. As a reference constant, and These are the weighting coefficients for the time dimension and the spatial dimension, respectively.

[0098] In this embodiment, the aforementioned comprehensive stability index is adopted. The calculation formula quantifies the stability of the slurry, enabling a unified quantitative evaluation of multi-dimensional stability. This is achieved by introducing a time dimension weighting coefficient α and a spatial dimension weighting coefficient β, reflecting the rate of change of characteristics over time. Reference rate of change By integrating key indicators such as the solid content ratio R or the maximum solid content difference ΔC, which reflect the uniformity of spatial dimensions, a single and intuitive comprehensive stability index SI is constructed. This makes the stability evaluation results standardized, comparable, and intuitive, facilitating accurate comparison and judgment of the stability of slurry under different conditions.

[0099] Based on this, two differentiated comprehensive stability index calculation modes are provided. The first mode constructs SI in fractional form, making the SI value positively correlated with the stability of the slurry. The second mode constructs a linearly decreasing evaluation model through a benchmark constant A. Both calculation methods allow for flexible adjustment of the weighting coefficients α and β. Technicians can choose the appropriate formula according to actual needs (e.g., formula (2) is used when real-time and rapid stability assessment is required, while formula (1) is used when focusing on high-precision and in-depth stability mechanism research), thus improving the flexibility of use. It should be noted that although the weighting coefficients α and β in formulas (1) and (2) use the same letters, they can be different values.

[0100] In addition, formulas (1) and (2) use absolute values ​​to process each key parameter, eliminating the adverse effects of positive and negative parameter deviations on the evaluation results, ensuring that only the degree of deviation and fluctuation of the parameters are focused on, effectively avoiding the evaluation distortion problem caused by the difference in parameter signs. At the same time, the reference change rate K0 and the benchmark constant A are introduced to realize the benchmark calibration of the evaluation results, further ensuring that the calculation results of the comprehensive stability index SI are objective and rigorous, and reducing the error caused by human subjective judgment.

[0101] Specifically, formula (1): The intermediate parameters are determined in the following way:

[0102] Determination of: Reference rate of change These are preset positive constants used to measure the measured rate of change. Normalize it to make it dimensionless. The value is determined based on, but is not limited to: measuring a standard slurry sample that is generally considered to have acceptable or good stability in a specific application scenario, calculating its average rate of change in solid content over a specified observation period, and setting this value as... .

[0103] Determination of α and β: α and β are used to weigh the contribution of temporal and spatial inhomogeneities to the overall stability, respectively. Their determination methods include, but are not limited to:

[0104] A series of slurry samples covering different stability levels were prepared, and their stability was benchmarked or scored using conventional methods in the art (such as long-term static observation combined with sampling analysis) or expert evaluation. Subsequently, the samples were... |Value input into formula (1) to determine the value based on the sample The comprehensive stability index is calculated by inputting the value into formula (1). The goal is to achieve a better match between the order and the benchmark ranking or score (e.g., through linear regression analysis). The specific values ​​of α and β are then calculated. The specific linear regression analysis can be performed according to existing logic and will not be elaborated here. In one embodiment, α = β = 1, meaning that time and space dimensions are considered equally important. In some embodiments, It can also be greater than or less than .

[0105] Regarding formula (2) The intermediate parameters are determined in the following way:

[0106] Determination of the baseline constant A: The baseline constant A represents the theoretically highest stability score. It is usually set to a fixed value that is easy to understand, such as A = 100, which represents the full score on a percentage scale.

[0107] Determination of α and β: If the process specifies, the rate of change 10 points will be deducted for every 1% / hour exceeding this limit. For every 1% exceeding the limit, 15 points are deducted. Therefore, α = 10 (points / (% / h)) and β = 15 (points / %) can be directly set. α and β here represent deduction coefficients, with dimensions equivalent to | and The reciprocal correlation is used to convert changes in physical quantities into fractional subtractions. For example, for online monitoring of lithium-ion battery electrode slurry, a setting is... =100, set according to the process specifications. The maximum allowable rate is 0.5% / h. The allowable upper limit is 2%. Let 40 points be deducted for exceeding the allowable upper limit. Therefore, α = 40 / 0.5 = 80, β = 40 / 2 = 20. Thus, the comprehensive stability index formula is adopted: ).

[0108] While the present invention has been illustrated and described with reference to certain preferred embodiments, those skilled in the art should understand that the above description is a further detailed explanation of the invention in conjunction with specific embodiments, and should not be construed as limiting the specific implementation of the invention to these descriptions. Various changes in form and detail can be made by those skilled in the art, including several simple deductions or substitutions, without departing from the spirit and scope of the invention.

Claims

1. A method for detecting the stability of a slurry, characterized in that, Includes the following steps: Provide the slurry to be tested, place the slurry to be tested in a container, and set at least one monitoring point in the slurry to be tested in the container; Obtain buoyancy data At multiple different time points, the buoyancy of the slurry to be tested at the same monitoring point inside the container is measured to obtain the set of buoyancy changes over time at that monitoring point. ,in This indicates the monitoring time; and / or, at the same time point, measuring the buoyancy generated by the slurry at multiple different monitoring points distributed vertically within the container, obtaining the buoyancy set at that time point as the buoyancy changes with the position of the monitoring points. ,in This indicates the vertical height of the monitoring point from the top surface of the slurry being tested; The slurry density is calculated based on the acquired buoyancy data: based on the buoyancy set and / or buoyancy collection The slurry density at the corresponding monitoring points and time points was calculated respectively. The density of the slurry A set of densities that change over time and / or the density set that varies with the location of the monitoring point ; Based on the preset correspondence between slurry density and slurry solid content, the slurry density... The slurry solids content corresponding to the slurry density was calculated. The slurry solid content The set of solid content changes over time. and / or the set of solids content that varies with the location of the monitoring point. ; According to the set of solid contents and / or the set of solid contents Determine the stability of the slurry to be tested.

2. The method for detecting slurry stability according to claim 1, characterized in that, The buoyancy is measured by a buoyancy meter, which includes a probe that can be immersed in the slurry to be tested.

3. The method for detecting slurry stability according to claim 2, characterized in that, Slurry density In the formula, The buoyancy data measured by the buoyancy gauge includes the buoyancy set. and / or buoyancy collection The corresponding buoyancy value; This is the acceleration due to gravity, measured in m / s². 2 ; The volume of slurry displaced by the probe when it is immersed in the slurry to be tested.

4. The method for detecting slurry stability according to claim 3, characterized in that, Slurry solids content In the formula, The density of the slurry to be tested ； The density of the solvent in the slurry to be tested; This is the mixed density of all solid components in the slurry to be tested.

5. The method for detecting slurry stability according to claim 4, characterized in that, In the formula, , ... Let the masses of solid 1, solid 2, ..., solid n be respectively. , ... They are solid 1, solid 2, ... solid. density, It is a positive integer.

6. The method for detecting slurry stability according to any one of claims 1 to 5, characterized in that, The monitoring point is located below the liquid surface of the slurry to be tested.

7. The method for detecting slurry stability according to any one of claims 1 to 5, characterized in that, The time intervals between the multiple different time points are selected from one or more of 0.5h, 1h, 2h, 2.5h, 3h, 4h, 8h, 16h, 24h, and 48h.

8. The method for detecting slurry stability according to any one of claims 1 to 5, characterized in that, The solid content C of the slurry is a set of solid contents that change over time. and / or the set of solids content that varies with the location of the monitoring point. include: The set of solid content changes of slurry solid content over time at the same monitoring point. ,in They represent the locations at the same monitoring point. time, time…… The solid content of the slurry to be tested at any given time. This indicates monitoring time points arranged consecutively in chronological order. It is a positive integer; and / or, The set of solid content changes of slurry solid content with monitoring point location at the same time point. ,in, These represent the monitoring points. Monitoring points ...monitoring point The slurry solids content, This indicates monitoring points that are continuously distributed along the vertical direction of the slurry being tested, from the top to the bottom of the slurry. It is a positive integer.

9. The method for detecting slurry stability according to claim 8, characterized in that, According to the set of solid content and / or the set of solid contents Determining the stability of the slurry to be tested includes: Calculate the rate of change of the solid content of the slurry over the observation period. If the rate of change If the change rate is greater than a first preset threshold, the slurry to be tested is determined to be unstable; if the change rate is greater than a first preset threshold, the slurry to be tested is determined to be unstable. If the value is not greater than the first preset threshold, the slurry to be tested is determined to be stable; and / or, Calculate the solid content ratio or solid content difference of the slurry to be tested at different monitoring points; if the solid content ratio or solid content difference is greater than a second preset threshold, the slurry to be tested is determined to be unstable; if the solid content ratio or solid content difference is not greater than the second preset threshold, the slurry to be tested is determined to be stable.

10. The method for detecting slurry stability according to claim 9, characterized in that, If based on the rate of change If the determination result is stable, and the determination results based on the solid content ratio or solid content difference at different monitoring points are also stable, then the stability of the slurry to be tested is finally determined to be qualified. If based on the rate of change If the determination result is unstable, or if the determination result based on the solid content ratio or solid content difference at different monitoring points is unstable, then the slurry is ultimately determined to be unqualified in terms of stability; or, According to the set of solid content and / or the set of solid contents Determining the stability of the slurry to be tested also includes: Based on the rate of change The comprehensive stability index is calculated by comparing the value of the solid content with the ratio or difference of the solid content at the different monitoring points. ; The comprehensive stability index Compare with a third preset threshold; If the comprehensive stability index If SI is not less than the third preset threshold, the slurry to be tested is determined to be stable; if SI is less than the third preset threshold, the slurry to be tested is determined to be unstable.

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