Method and system for detecting crushing effect of nutritional agent raw materials

Abstract

The invention relates to the technical field of raw material crushing, and discloses a crushing effect detection method and system for nutritional agent raw materials, and the method comprises the following steps: collecting raw material type data of nutritional agents, determining the initial crushing granularity of the raw materials according to the raw material type data, and determining the rotating speed of a crusher according to the initial crushing granularity; when the raw materials are crushed, first particle size data of the raw materials are collected in real time, a first particle size data set is established, and a first average particle size value of the raw materials is calculated according to the first particle size data set; the first average particle size value is compared with an average particle size threshold value, and whether the rotating speed is adjusted or not is judged according to a comparison result; and storing the data of the crushing influence factor and the rotating speed adjustment amount. Key parameters in the crushing process can be monitored in real time, and the rotating speed of the crusher is dynamically adjusted according to the parameters, so that the stability of the crushing effect and the consistency of the product quality are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of raw material crushing, and in particular to a method and system for detecting crushing effect of raw materials of nutrient agents. Background Art

[0002] In the traditional crushing effect testing process, people usually rely on manual testing and experience to evaluate the crushing effect. This method not only requires a lot of time and manpower, but also due to the influence of human factors, the accuracy and consistency of the test results are often difficult to guarantee. This not only affects production efficiency, but also leads to unstable product quality, which in turn affects the smooth progress of the entire production process.

[0003] Specifically, manual testing usually relies on the subjective judgment of operators, and each person's experience and judgment criteria may be different. This subjectivity makes the test results susceptible to personal emotions, fatigue and experience level, resulting in fluctuations and errors in the test results. In addition, manual testing usually requires checking each sample one by one, which is not only time-consuming and labor-intensive, but also difficult to achieve full coverage in large-scale production. Therefore, this method is often difficult to meet the needs of modern industrial production for high efficiency and high precision in practical applications. Summary of the invention

[0004] In view of this, the present invention proposes a method and system for detecting the crushing effect of nutrient raw materials, aiming to solve the problem that the accuracy and consistency of the detection results of the crushing effect in the current technology are often difficult to guarantee, which not only affects the production efficiency but also leads to unstable product quality.

[0005] In one aspect, the present invention provides a method for detecting the pulverization effect of a nutrient raw material, comprising:

[0006] S100: collecting raw material type data of the nutrient, determining the initial crushing particle size of the raw material according to the raw material type data, and determining the rotation speed of the crusher according to the initial crushing particle size; when crushing the raw material, collecting first particle size data of the raw material in real time, establishing a first particle size data set, and calculating a first average particle size value of the raw material according to the first particle size data set;

[0007] S200: comparing the first average particle size value with the average particle size threshold, and judging whether to adjust the rotation speed according to the comparison result; when it is judged that the rotation speed is to be adjusted, collecting the environmental data inside the pulverizer, and calculating the pulverization influence factor according to the average particle size value and the environmental data, comparing the pulverization influence factor with the historical data, and determining the rotation speed adjustment amount according to the comparison result;

[0008] S300: When the pulverization influencing factor is different from the pulverization influencing factor in the historical data, the load data and vibration data of the pulverizer are collected, and the initial speed adjustment amount of the pulverizer is determined according to the load data and the vibration data; the second particle size data of the raw material after the speed adjustment is completed is collected, a second particle size data set is established, and the maximum particle size value and the minimum particle size value are determined according to the second particle size data set, and the particle size difference value is obtained by subtracting the maximum particle size value from the minimum particle size value; the particle size difference value is compared with the particle size difference value threshold value, and whether the initial speed adjustment amount is adjusted is determined according to the comparison result, and the speed adjustment amount is determined;

[0009] S400: storing the data of the crushing influence factor and the rotation speed adjustment amount.

[0010] Further, the raw material type data includes animal protein raw materials and plant protein raw materials;

[0011] The environmental data includes temperature data inside the pulverizer and temperature data.

[0012] Furthermore, when determining the rotation speed of the pulverizer according to the initial pulverization particle size, it includes:

[0013] The initial crushing particle size is calculated by the following formula:

[0014]

[0015] Among them, K is a constant coefficient, H α Indicates the hardness of the raw material, T β Indicates the toughness of the raw material, W γ Indicates the moisture content of the raw material, D ω represents the density of the raw material, R ε Indicates the surface roughness of the raw material, S δ Further, comparing the first average particle size value with the average particle size threshold, and judging whether to adjust the rotation speed according to the comparison result, includes:

[0016] When the first average particle size is greater than or equal to the average particle size threshold, determining to adjust the rotation speed;

[0017] When the first average particle size is smaller than the average particle size threshold, it is determined that the rotation speed is not to be adjusted.

[0018] Further, when calculating the crushing influence factor according to the average particle size value and the environmental data, it includes:

[0019] The crushing influence factor is calculated by the following formula:

[0020]

[0021] Among them, F represents the crushing influencing factor, A represents the adjustment coefficient of different types of crushers, Pa represents the average particle size value, Pt represents the target average particle size value, B represents the environmental coefficient, T represents the temperature data inside the crusher, H represents the humidity data inside the crusher, and η represents the humidity adjustment coefficient.

[0022] Furthermore, the crushing influence factor is compared with historical data, and the speed adjustment amount is determined according to the comparison result, including:

[0023] When the historical data contains data identical to the pulverization influencing factor, adjusting the rotation speed inside the pulverizer according to the recorded rotation speed adjustment amount;

[0024] When the historical data does not contain data identical to the pulverizing influence factor, the initial rotation speed adjustment amount of the pulverizer is determined according to the load data and the vibration data.

[0025] Furthermore, when comparing the crushing influence factor with historical data and determining the rotation speed adjustment amount according to the comparison result, it also includes:

[0026] The initial speed adjustment amount is calculated by the following formula:

[0027] ΔN=n1(L-Lr)+n2(V-Vr);

[0028] Among them, ΔN represents the initial speed adjustment amount, n1 represents the adjustment coefficient corresponding to the load data, n2 represents the adjustment coefficient corresponding to the vibration data, L represents the load data, Lr represents the standard load data, V represents the vibration data, and Vr represents the standard vibration data.

[0029] Furthermore, the particle size difference is compared with a particle size difference threshold, and it is determined whether to adjust the initial speed adjustment amount according to the comparison result. When determining the speed adjustment amount, it includes:

[0030] When the granularity difference is less than or equal to the granularity difference threshold, taking the initial rotation speed adjustment amount as the rotation speed adjustment amount, and storing the rotation speed adjustment amount;

[0031] When the particle size difference is greater than the particle size difference threshold, it is determined that the initial rotation speed adjustment amount is adjusted to obtain the rotation speed adjustment amount.

[0032] Further, the initial speed adjustment amount is adjusted to obtain the speed adjustment amount, including:

[0033] Calculating a second average particle size value based on the second particle size data set;

[0034] Obtaining an average particle size difference according to the second average particle size value and the average particle size threshold;

[0035] Determine an adjustment coefficient according to the average particle size difference to adjust the initial rotation speed adjustment amount, obtain the rotation speed adjustment amount, and store data of the rotation speed adjustment amount;

[0036] When the average particle size difference is greater than 0, the rotation speed adjustment amount is proportional to the adjustment coefficient; when the average particle size difference is less than 0, the rotation speed adjustment amount is inversely proportional to the adjustment coefficient.

[0037] Compared with the prior art, the beneficial effect of the present invention is that the method for detecting the pulverizing effect of a raw material of a nutrient agent provided by the present invention can monitor the key parameters in the pulverizing process in real time, and dynamically adjust the rotation speed of the pulverizer according to these parameters, so as to ensure the stability of the pulverizing effect and the consistency of the product quality. Through this method, the problem of unstable pulverizing effect caused by improper operation or fluctuation of equipment performance can be effectively avoided, and the production efficiency and yield rate can be improved. By real-time monitoring of the temperature, humidity, load and vibration data inside the pulverizer, combined with the comparison of historical data and particle size difference, the speed adjustment process of the pulverizer realizes intelligent control. The operator does not need to make frequent manual adjustments, which reduces the work intensity and improves the convenience and accuracy of the operation. By accurately controlling the rotation speed of the pulverizer, the energy consumption in the pulverizing process can be effectively reduced. Under the premise of satisfying the pulverizing effect, excessive pulverization and idling of the equipment are avoided, thereby saving energy consumption and reducing production costs. By real-time monitoring and adjusting the operating status of the pulverizer, equipment damage caused by overload or underload can be avoided, and the service life of the pulverizer can be extended. At the same time, by timely discovering potential mechanical problems and making adjustments, equipment failures can be effectively prevented, and maintenance costs and downtime can be reduced. By precisely controlling the key parameters in the pulverizing process, it is possible to ensure a more uniform particle size distribution of the pulverized product and improve the consistency of product quality. This is of great significance for the subsequent production process and the quality of the finished product, especially in application areas with high particle size requirements.

[0038] In another aspect, the present invention also provides a system for detecting the crushing effect of a nutrient raw material, comprising the following steps:

[0039] The acquisition module is configured to acquire raw material type data of the nutrient, determine the initial crushing particle size of the raw material according to the raw material type data, and determine the rotation speed of the crusher according to the initial crushing particle size; and is also configured to acquire first particle size data of the raw material in real time when crushing the raw material, establish a first particle size data set, and calculate a first average particle size value of the raw material according to the first particle size data set;

[0040] a judgment module configured to compare the first average particle size value with an average particle size threshold, and judge whether to adjust the rotation speed according to the comparison result; when it is determined that the rotation speed is to be adjusted, control the acquisition module to collect environmental data inside the pulverizer, and calculate a pulverization influence factor according to the average particle size value and the environmental data, compare the pulverization influence factor with historical data, and determine the rotation speed adjustment amount according to the comparison result;

[0041] The adjustment module is configured to control the acquisition module to acquire the load data and vibration data of the pulverizer when the pulverization influence factor is different from the pulverization influence factor in the historical data, and determine the initial speed adjustment amount of the pulverizer according to the load data and the vibration data; and is also configured to control the acquisition module to acquire the second particle size data of the raw material after the speed adjustment is completed, establish a second particle size data set, and determine the maximum particle size value and the minimum particle size value according to the second particle size data set, and obtain the particle size difference by subtracting the maximum particle size value from the minimum particle size value; compare the particle size difference with the particle size difference threshold, and determine whether to adjust the initial speed adjustment amount according to the comparison result, and determine the speed adjustment amount;

[0042] The storage module is configured to store the data of the crushing influence factor and the rotation speed adjustment amount.

[0043] It is understandable that the above-mentioned method and system for detecting the pulverization effect of nutrient raw materials have the same beneficial effects and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] 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:

[0045] Figure 1 A flowchart of a method for detecting the crushing effect of a raw material of a nutrient agent provided in an embodiment of the present invention;

[0046] Figure 2 This is a structural block diagram of a system for detecting the crushing effect of nutrient raw materials provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0047] 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.

[0048] See also Figure 1 As shown, in some embodiments of the present application, this embodiment provides a method for detecting the crushing effect of a nutrient raw material, comprising:

[0049] S100: collecting raw material type data of the nutrient, determining the initial crushing particle size of the raw material according to the raw material type data, and determining the rotation speed of the crusher according to the initial crushing particle size; when crushing the raw material, collecting first particle size data of the raw material in real time, establishing a first particle size data set, and calculating a first average particle size value of the raw material according to the first particle size data set;

[0050] It can be seen that in some embodiments of the present invention, the raw material type data is collected to determine the initial crushing particle size of the raw material, which is crucial to ensure the crushing effect. The physical properties and chemical composition of the raw material directly affect the efficiency of the crushing process and the quality of the final product. By accurately determining the initial crushing particle size, it can be ensured that the crusher operates in the best working state, thereby improving the crushing efficiency and reducing energy consumption.

[0051] S200: comparing the first average particle size value with the average particle size threshold, and judging whether to adjust the rotation speed according to the comparison result; when it is judged that the rotation speed is to be adjusted, collecting the environmental data inside the pulverizer, and calculating the pulverization influence factor according to the average particle size value and the environmental data, comparing the pulverization influence factor with the historical data, and determining the rotation speed adjustment amount according to the comparison result;

[0052] It can be seen that in some embodiments of the present invention, by real-time monitoring of environmental data during the pulverization process, the pulverization effect can be more accurately evaluated and the rotation speed of the pulverizer can be adjusted in time. Environmental data include but are not limited to temperature and humidity, etc., which will affect the pulverization process. By calculating the pulverization influencing factors and comparing them with historical data, the rotation speed adjustment amount can be determined more accurately, thereby ensuring the stability and consistency of the pulverization effect.

[0053] S300: When the pulverization influencing factor is different from the pulverization influencing factor in the historical data, the load data and vibration data of the pulverizer are collected, and the initial speed adjustment amount of the pulverizer is determined according to the load data and the vibration data; the second particle size data of the raw material after the speed adjustment is completed is collected, a second particle size data set is established, and the maximum particle size value and the minimum particle size value are determined according to the second particle size data set, and the particle size difference value is obtained by subtracting the maximum particle size value from the minimum particle size value; the particle size difference value is compared with the particle size difference value threshold value, and whether the initial speed adjustment amount is adjusted is determined according to the comparison result, and the speed adjustment amount is determined;

[0054] It can be seen that in some embodiments of the present invention, the load data and vibration data of the pulverizer are key parameters for determining the initial speed adjustment amount of the pulverizer. The load data reflects the actual workload of the pulverizer during the pulverizing process, while the vibration data can reflect whether the operating state of the pulverizer is stable. By comprehensively considering the load data and vibration data, the initial speed adjustment amount can be determined more accurately, thereby improving the pulverizing efficiency and reducing equipment wear. In some embodiments of the present invention, the effect of the speed adjustment can be evaluated by collecting the raw material particle size data after the speed adjustment is completed. By establishing a second particle size data set and calculating the maximum particle size value and the minimum particle size value, the particle size difference can be obtained. By comparing the particle size difference with the particle size difference threshold, it can be determined whether the initial speed adjustment amount needs to be further adjusted, thereby ensuring that the pulverizing effect reaches the expected goal.

[0055] S400: storing the data of the crushing influence factor and the rotation speed adjustment amount.

[0056] It can be seen that in some embodiments of the present invention, the data of the crushing influence factor and the speed adjustment amount are stored to facilitate subsequent analysis and optimization. By accumulating historical data, various influencing factors in the crushing process can be better understood, thereby providing a more accurate reference for future crushing processes. In addition, the stored data can also be used for machine learning and artificial intelligence algorithms to further improve the intelligence level of the crushing effect detection method.

[0057] Specifically, the raw material type data includes animal protein raw materials and plant protein raw materials;

[0058] The environmental data includes temperature data inside the pulverizer and temperature data.

[0059] It can be seen that in some embodiments of the present invention, the collection and classification of raw material type data is crucial to the crushing effect detection method. Animal protein raw materials and plant protein raw materials have different physical properties and chemical compositions, so different treatment methods are required during the crushing process. By accurately identifying the type of raw materials, a more accurate basis can be provided for the speed setting of the crusher, thereby ensuring the optimization of the crushing effect. Real-time monitoring of environmental data helps to promptly discover and solve potential problems in the crushing process, ensuring the stability of the crushing process and the quality of the crushed products.

[0060] Specifically, when determining the rotation speed of the pulverizer according to the initial pulverization particle size, it includes:

[0061] The initial crushing particle size is calculated by the following formula:

[0062]

[0063] Among them, K is a constant coefficient, H α Indicates the hardness of the raw material, T β Indicates the toughness of the raw material, W γ Indicates the moisture content of the raw material, D ω represents the density of the raw material, R ε Indicates the surface roughness of the raw material, S δ Indicates the aperture of the sieve.

[0064] It can be seen that in some embodiments of the present invention, the calculation of the initial crushing particle size takes into account multiple influencing factors, including the hardness, toughness, moisture content, density, surface roughness and aperture of the screen of the raw material. These parameters jointly determine the speed setting of the pulverizer to ensure the efficiency and stability of the pulverization process. By accurately calculating the initial crushing particle size, a scientific and reasonable speed reference value can be provided for the pulverizer, thereby improving the pulverization efficiency, reducing energy consumption, and ensuring that the particle size of the raw material after pulverization meets the expected requirements.

[0065] It can be seen that in some embodiments of the present invention, hardness is obtained by a standard hardness test method, such as Brinell hardness or Rockwell hardness test; toughness is obtained by an impact toughness test or a bending test to evaluate the deformation and fracture characteristics of the raw material when subjected to an external force; moisture content is obtained by a drying method or a Karl Fischer titration method to ensure that the moisture content of the raw material before crushing is within a reasonable range; density is obtained by a density bottle method or a gas displacement method to evaluate the unit volume mass of the raw material; surface roughness is obtained by a surface roughness measuring instrument to evaluate the degree of concavity and convexity of the raw material surface; the mesh aperture is obtained by measuring the aperture size of the mesh to determine the mesh specifications used when screening the raw material. By comprehensively considering these parameters, the initial crushing particle size can be calculated more accurately, thereby providing a scientific basis for setting the rotation speed of the crusher.

[0066] Specifically, comparing the first average particle size value with the average particle size threshold, and judging whether to adjust the rotation speed according to the comparison result, includes:

[0067] When the first average particle size is greater than or equal to the average particle size threshold, determining to adjust the rotation speed;

[0068] When the first average particle size is smaller than the average particle size threshold, it is determined that the rotation speed is not to be adjusted.

[0069] It can be seen that in some embodiments of the present invention, by real-time monitoring of the particle size of the raw material after pulverization, the stability and consistency of the pulverization effect can be ensured. When the first average particle size value is compared with the preset average particle size threshold, if the first average particle size is greater than or equal to the average particle size threshold, it means that the particle size of the raw material after pulverization is too large, and the rotation speed of the pulverizer needs to be adjusted to reduce the particle size. On the contrary, if the first average particle size is less than the average particle size threshold, it means that the particle size of the raw material after pulverization has met the requirements, and there is no need to adjust the rotation speed, thereby avoiding increased energy consumption and equipment wear caused by excessive pulverization.

[0070] It can be seen that in some embodiments of the present invention, in order to further improve the accuracy of the crushing effect detection method, an online particle size analyzer can be used to monitor the particle size of the raw material after crushing in real time. The analyzer can provide particle size data quickly and accurately, thereby realizing real-time adjustment of the rotation speed of the crusher. In addition, by setting multiple particle size detection points, the crushing effect can be evaluated more comprehensively to ensure that the particle size of the raw material after crushing remains consistent throughout the batch. In some embodiments of the present invention, the setting of the average particle size threshold is based on the use requirements and quality standards of the raw material after crushing. In some embodiments, the average particle size threshold can be adjusted according to different raw material types and crushing purposes. For example, for raw materials that require further processing, finer particle sizes may be required, so the average particle size threshold will be set lower; while for raw materials that are used directly, the particle size requirements may be less strict, and the average particle size threshold can be set higher.

[0071] Specifically, when calculating the crushing influence factor according to the average particle size value and the environmental data, it includes:

[0072] The crushing influence factor is calculated by the following formula:

[0073]

[0074] Among them, F represents the crushing influencing factor, A represents the adjustment coefficient of different types of crushers, Pa represents the average particle size value, Pt represents the target average particle size value, B represents the environmental coefficient, T represents the temperature data inside the crusher, H represents the humidity data inside the crusher, and η represents the humidity adjustment coefficient.

[0075] It can be seen that in some embodiments of the present invention, the calculation of the crushing influence factor takes into account multiple aspects such as the type of crusher, target particle size, environmental factors, etc. The adjustment coefficient A of different types of crushers reflects the differences in efficiency and applicability of different crushers during the crushing process. The target average particle size value Pt is the ultimate goal of the crushing process, ensuring that the particle size of the raw material after crushing meets the specific application requirements. The environmental coefficient B and the humidity adjustment coefficient η take into account the influence of environmental factors on the crushing effect during the crushing process, such as changes in temperature and humidity may cause changes in the characteristics of the raw materials, thereby affecting the crushing effect. By combining these factors, the crushing influence factor can be calculated more accurately, providing a scientific basis for adjusting the speed of the crusher.

[0076] It can be seen that in some embodiments of the present invention, the temperature and humidity data inside the pulverizer are monitored in real time by sensors to ensure that the pulverization process is carried out under optimal environmental conditions. Changes in temperature and humidity not only affect the physical properties of the raw materials, but may also have an impact on the performance of the pulverizer. For example, too high a temperature may cause thermal expansion of the internal components of the pulverizer, affecting the pulverization accuracy; too high a humidity may cause the raw materials to stick together, affecting the pulverization efficiency. By real-time monitoring and adjusting the environmental conditions inside the pulverizer, the stability of the pulverization process and the quality of the pulverized product can be ensured.

[0077] Specifically, the crushing influencing factor is compared with the historical data, and the speed adjustment amount is determined according to the comparison result, including:

[0078] When the historical data contains data identical to the pulverization influencing factor, adjusting the rotation speed inside the pulverizer according to the recorded rotation speed adjustment amount;

[0079] When the historical data does not contain data identical to the pulverizing influence factor, the initial rotation speed adjustment amount of the pulverizer is determined according to the load data and the vibration data.

[0080] It can be seen that in some embodiments of the present invention, by comparing historical data, the experience in the previous crushing process can be effectively used to guide the current crushing operation. When the crushing influence factor matches a certain data in the historical data, it means that the current crushing process is similar to a previous crushing process, so the speed adjustment amount in the historical record can be directly referred to for operation. This method not only improves the efficiency of the crusher operation, but also reduces the additional energy consumption and time cost caused by trial and error. However, when the crushing influence factor does not have the same data as the historical data, it indicates that the current crushing process has certain particularities and cannot directly apply historical experience. In this case, it is necessary to combine the load data and vibration data of the current crusher to determine the initial speed adjustment amount. The load data reflects the current workload of the crusher, while the vibration data can reveal the internal operating state of the crusher. By analyzing these data, it can be determined whether the crusher is in the best working state, whether there is an overload or underload situation, and whether there are potential mechanical problems. Based on this information, the speed of the crusher can be reasonably adjusted to ensure the smoothness of the crushing process and the optimization of the crushing effect.

[0081] Specifically, the crushing influence factor is compared with the historical data, and when the speed adjustment amount is determined according to the comparison result, it also includes:

[0082] The initial speed adjustment amount is calculated by the following formula:

[0083] ΔN=n1(L-Lr)+n2(V-Vr);

[0084] Among them, ΔN represents the initial speed adjustment amount, n1 represents the adjustment coefficient corresponding to the load data, n2 represents the adjustment coefficient corresponding to the vibration data, L represents the load data, Lr represents the standard load data, V represents the vibration data, and Vr represents the standard vibration data.

[0085] It can be seen that in some embodiments of the present invention, the calculation of the initial speed adjustment takes into account two key factors: the load and vibration of the pulverizer. The adjustment coefficient n1 corresponding to the load data reflects the change in the working efficiency of the pulverizer under different loads, while the adjustment coefficient n2 corresponding to the vibration data reveals the stability of the internal operating state of the pulverizer. By comparing the actual load data L with the standard load data Lr, and comparing the actual vibration data V with the standard vibration data Vr, the initial speed adjustment ΔN can be calculated. This calculation method ensures the optimal performance of the pulverizer under different working conditions, while avoiding equipment damage and reduced production efficiency due to overload or underload.

[0086] It is understood that in some embodiments of the present invention, the standard load data Lr and the standard vibration data Vr are determined based on the design parameters of the pulverizer and the historical best working state. These standard data provide a reference benchmark for the pulverizer operator to make quick adjustments in actual operation. When the actual working state of the pulverizer deviates from the standard state, the operator can make corresponding adjustments based on the calculated initial speed adjustment amount ΔN to ensure that the pulverizer operates in the best working state.

[0087] Specifically, the particle size difference is compared with the particle size difference threshold, and whether to adjust the initial speed adjustment amount is determined according to the comparison result. When determining the speed adjustment amount, it includes:

[0088] When the granularity difference is less than or equal to the granularity difference threshold, taking the initial rotation speed adjustment amount as the rotation speed adjustment amount, and storing the rotation speed adjustment amount;

[0089] When the particle size difference is greater than the particle size difference threshold, it is determined that the initial rotation speed adjustment amount is adjusted to obtain the rotation speed adjustment amount.

[0090] It can be seen that in some embodiments of the present invention, the speed adjustment strategy of the pulverizer can be further optimized through real-time monitoring of the particle size difference and threshold comparison. When the particle size difference is less than or equal to the particle size difference threshold, it means that the current speed of the pulverizer can already meet the particle size requirement, so there is no need to make additional adjustments to the initial speed adjustment. At this time, the initial speed adjustment is directly used as the final speed adjustment, and the adjustment is stored in the system for future reference and use. However, when the particle size difference is greater than the particle size difference threshold, it indicates that the current speed of the pulverizer fails to achieve the expected pulverizing effect, and the initial speed adjustment needs to be adjusted to improve the pulverizing effect. At this time, the cause of the particle size difference can be further analyzed to comprehensively judge and determine the final speed adjustment.

[0091] In summary, the present embodiment provides a method for detecting the pulverizing effect of a nutrient raw material, which can monitor the key parameters in the pulverizing process in real time, and dynamically adjust the rotation speed of the pulverizer according to these parameters, so as to ensure the stability of the pulverizing effect and the consistency of the product quality. Through this method, the unstable pulverizing effect caused by improper operation or fluctuation of equipment performance can be effectively avoided, and the production efficiency and yield rate can be improved. By real-time monitoring of the temperature, humidity, load and vibration data inside the pulverizer, combined with the comparison of historical data and particle size difference, the speed adjustment process of the pulverizer realizes intelligent control. The operator does not need to make frequent manual adjustments, which reduces the work intensity and improves the convenience and accuracy of the operation. By accurately controlling the rotation speed of the pulverizer, the energy consumption in the pulverizing process can be effectively reduced. Under the premise of meeting the pulverizing effect, excessive pulverization and equipment idling are avoided, thereby saving energy consumption and reducing production costs. By real-time monitoring and adjusting the operating state of the pulverizer, equipment damage caused by overload or underload can be avoided, and the service life of the pulverizer can be extended. At the same time, by timely discovering potential mechanical problems and making adjustments, equipment failures can be effectively prevented, and maintenance costs and downtime can be reduced. By precisely controlling the key parameters in the pulverizing process, it is possible to ensure a more uniform particle size distribution of the pulverized product and improve the consistency of product quality. This is of great significance for the subsequent production process and the quality of the finished product, especially in application areas with high particle size requirements.

[0092] Specifically, the initial speed adjustment amount is adjusted to obtain the speed adjustment amount, including:

[0093] Calculating a second average particle size value based on the second particle size data set;

[0094] Obtaining an average particle size difference according to the second average particle size value and the average particle size threshold;

[0095] Determine an adjustment coefficient according to the average particle size difference to adjust the initial rotation speed adjustment amount, obtain the rotation speed adjustment amount, and store data of the rotation speed adjustment amount;

[0096] When the average particle size difference is greater than 0, the rotation speed adjustment amount is proportional to the adjustment coefficient; when the average particle size difference is less than 0, the rotation speed adjustment amount is inversely proportional to the adjustment coefficient.

[0097] It can be seen that in some embodiments of the present invention, by further refining the particle size control, the precise adjustment of the rotation speed of the pulverizer can be achieved. When the particle size difference is greater than the particle size difference threshold, the second average particle size value of the second particle size data set is first calculated. This data reflects the actual pulverization effect of the pulverizer at the current rotation speed and provides a basis for the next adjustment. Next, the second average particle size value is compared with the preset average particle size threshold to obtain the average particle size difference. The positive and negative and size of the average particle size difference determine the direction and amplitude of the rotation speed adjustment. When the average particle size difference is greater than 0, it means that the average particle size of the pulverizer exceeds the set threshold, and the rotation speed needs to be increased to reduce the particle size; conversely, when the average particle size difference is less than 0, it means that the average particle size of the pulverizer is lower than the set threshold, and the rotation speed needs to be reduced to increase the particle size. According to the average particle size difference, the adjustment coefficient is determined to adjust the initial rotation speed adjustment amount to obtain the final rotation speed adjustment amount. The selection of the adjustment coefficient needs to comprehensively consider the performance of the pulverizer, the material characteristics and the actual production needs. In this way, it can be ensured that the pulverizer can maintain high production efficiency and low energy consumption while meeting the particle size requirements. Finally, the adjusted speed adjustment data is stored for future reference and use. These data not only provide valuable experience for the crusher operator, but also provide a basis for learning and optimization for the crusher's intelligent control system. By continuously accumulating and analyzing these data, the performance of the crusher will be continuously improved to better meet the needs of industrial production.

[0098] See also Figure 2 As shown, in some embodiments of the present application, this embodiment provides a system for detecting the crushing effect of a nutrient raw material, comprising the following steps:

[0099] The acquisition module is configured to acquire raw material type data of the nutrient, determine the initial crushing particle size of the raw material according to the raw material type data, and determine the rotation speed of the crusher according to the initial crushing particle size; and is also configured to acquire first particle size data of the raw material in real time when crushing the raw material, establish a first particle size data set, and calculate a first average particle size value of the raw material according to the first particle size data set;

[0100] a judgment module configured to compare the first average particle size value with an average particle size threshold, and judge whether to adjust the rotation speed according to the comparison result; when it is determined that the rotation speed is to be adjusted, control the acquisition module to collect environmental data inside the pulverizer, and calculate a pulverization influence factor according to the average particle size value and the environmental data, compare the pulverization influence factor with historical data, and determine the rotation speed adjustment amount according to the comparison result;

[0101] The adjustment module is configured to control the acquisition module to acquire the load data and vibration data of the pulverizer when the pulverization influence factor is different from the pulverization influence factor in the historical data, and determine the initial speed adjustment amount of the pulverizer according to the load data and the vibration data; and is also configured to control the acquisition module to acquire the second particle size data of the raw material after the speed adjustment is completed, establish a second particle size data set, and determine the maximum particle size value and the minimum particle size value according to the second particle size data set, and obtain the particle size difference by subtracting the maximum particle size value from the minimum particle size value; compare the particle size difference with the particle size difference threshold, and determine whether to adjust the initial speed adjustment amount according to the comparison result, and determine the speed adjustment amount;

[0102] The storage module is configured to store the data of the crushing influence factor and the rotation speed adjustment amount.

[0103] It can be seen that in some embodiments of the present invention, by integrating multiple detection and adjustment links, the performance of the pulverizer can be fully optimized. In some embodiments of the present invention, the pulverization effect detection system not only pays attention to the particle size data of the raw material, but also comprehensively considers the environmental factors and mechanical state inside the pulverizer, so as to achieve more accurate speed control. Specifically, after determining that the speed needs to be adjusted, the judgment module will control the acquisition module to collect environmental data inside the pulverizer, such as temperature, humidity, etc. These environmental factors have a direct or indirect impact on the pulverization effect, so they need to be taken into consideration. By comparing the pulverization influencing factors with historical data, the optimal speed adjustment amount under the current environmental conditions can be identified. After determining the initial speed adjustment amount, the adjustment module will further collect the load data and vibration data of the pulverizer. These data reflect the actual load and mechanical stability of the pulverizer under the current working state, which is crucial to ensure the safe and efficient operation of the pulverizer. By analyzing the load data and vibration data, the speed adjustment amount can be further optimized to ensure that the pulverizer operates in the best working state. In addition, the adjustment module will also collect the second particle size data of the raw material after the speed adjustment is completed, establish a second particle size data set, and determine the maximum particle size value and the minimum particle size value based on the data set. By calculating the particle size difference and comparing it with the particle size difference threshold, the effect of the speed adjustment can be further verified to ensure that the particle size of the crushed material meets the production requirements. The storage module plays an important role in the system, responsible for storing the data of the crushing influencing factors and the speed adjustment amount. These data not only provide valuable experience for the crusher operators, but also provide a basis for learning and optimization for the intelligent control system of the crusher. By continuously accumulating and analyzing these data, the performance of the crusher will be continuously improved to better meet the needs of industrial production.

[0104] In summary, in some embodiments of the present invention, by integrating multiple detection and adjustment links, the performance of the pulverizer can be fully optimized. By real-time monitoring and analysis of various data such as raw material particle size, environmental factors, and mechanical status, it can be ensured that the pulverizer can maintain high production efficiency and low energy consumption while meeting the particle size requirements. These optimization measures not only improve the performance of the pulverizer, but also provide a more reliable and efficient solution for industrial production.

[0105] 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 adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt 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.

[0106] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to 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 generate 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.

[0107] 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.

[0108] 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.

[0109] 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 detecting the pulverization effect of a nutrient raw material, characterized in that: include: Collecting raw material type data of the nutrient, determining the initial crushing particle size of the raw material according to the raw material type data, and determining the rotation speed of the crusher according to the initial crushing particle size; When the raw material is crushed, first particle size data of the raw material is collected in real time, a first particle size data set is established, and a first average particle size value of the raw material is calculated according to the first particle size data set; Comparing the first average particle size value with an average particle size threshold, and determining whether to adjust the rotation speed according to the comparison result; When it is determined that the rotation speed is to be adjusted, the environmental data inside the pulverizer is collected, and a pulverization influence factor is calculated according to the average particle size value and the environmental data, the pulverization influence factor is compared with historical data, and the rotation speed adjustment amount is determined according to the comparison result; When the pulverization influence factor is different from the pulverization influence factor in the historical data, the load data and vibration data of the pulverizer are collected, and the initial speed adjustment amount of the pulverizer is determined according to the load data and the vibration data; the second particle size data of the raw material after the speed adjustment is completed is collected, a second particle size data set is established, and the maximum particle size value and the minimum particle size value are determined according to the second particle size data set, and the particle size difference value is obtained by subtracting the maximum particle size value from the minimum particle size value; the particle size difference value is compared with the particle size difference value threshold value, and it is determined whether to adjust the initial speed adjustment amount according to the comparison result, and the speed adjustment amount is determined; The data of the crushing influence factor and the rotation speed adjustment amount are stored.

2. The method for detecting the pulverization effect of a nutrient raw material according to claim 1, characterized in that: The raw material type data includes animal protein raw materials and plant protein raw materials; The environmental data includes temperature data inside the pulverizer and temperature data.

3. The method for detecting the pulverization effect of a nutrient raw material according to claim 2, characterized in that: When the rotation speed of the pulverizer is determined according to the initial pulverized particle size, it includes: The initial crushing particle size is calculated by the following formula: Among them, K is a constant coefficient, H α Indicates the hardness of the raw material, T β Indicates the toughness of the raw material, W γ Indicates the moisture content of the raw material, D ω represents the density of the raw material, R ε Indicates the surface roughness of the raw material, S δ Indicates the aperture of the sieve.

4. The method for detecting the pulverization effect of a nutrient raw material according to claim 3, characterized in that: The first average particle size value is compared with the average particle size threshold, and judging whether to adjust the rotation speed according to the comparison result includes: When the first average particle size is greater than or equal to the average particle size threshold, determining to adjust the rotation speed; When the first average particle size is smaller than the average particle size threshold, it is determined that the rotation speed is not to be adjusted.

5. The method for detecting the pulverization effect of a nutrient material according to claim 4, characterized in that: When calculating the crushing influence factor according to the average particle size value and the environmental data, it includes: The crushing influence factor is calculated by the following formula: Among them, F represents the crushing influencing factor, A represents the adjustment coefficient of different types of crushers, Pa represents the average particle size value, Pt represents the target average particle size value, B represents the environmental coefficient, T represents the temperature data inside the crusher, H represents the humidity data inside the crusher, and η represents the humidity adjustment coefficient.

6. The method for detecting the pulverization effect of a raw material for a nutrient according to claim 5, characterized in that: The crushing influencing factor is compared with the historical data, and the speed adjustment amount is determined according to the comparison result, including: When the historical data contains data identical to the pulverization influencing factor, adjusting the rotation speed inside the pulverizer according to the recorded rotation speed adjustment amount; When the historical data does not contain data identical to the pulverizing influence factor, the initial rotation speed adjustment amount of the pulverizer is determined according to the load data and the vibration data.

7. The method for detecting the pulverization effect of a raw material for a nutrient according to claim 6, characterized in that: When comparing the crushing influence factor with historical data and determining the rotation speed adjustment amount according to the comparison result, it also includes: The initial speed adjustment amount is calculated by the following formula: ΔN=n1(L-Lr)+n2(V-Vr); Among them, ΔN represents the initial speed adjustment amount, n1 represents the adjustment coefficient corresponding to the load data, n2 represents the adjustment coefficient corresponding to the vibration data, L represents the load data, Lr represents the standard load data, V represents the vibration data, and Vr represents the standard vibration data.

8. The method for detecting the pulverization effect of a raw material for a nutrient according to claim 7, characterized in that: The particle size difference is compared with the particle size difference threshold, and whether to adjust the initial speed adjustment amount is determined according to the comparison result, and the speed adjustment amount is determined, including: When the granularity difference is less than or equal to the granularity difference threshold, taking the initial rotation speed adjustment amount as the rotation speed adjustment amount, and storing the rotation speed adjustment amount; When the particle size difference is greater than the particle size difference threshold, it is determined that the initial rotation speed adjustment amount is adjusted to obtain the rotation speed adjustment amount.

9. The method for detecting the pulverization effect of a raw material for a nutrient according to claim 8, characterized in that: The initial speed adjustment amount is adjusted to obtain the speed adjustment amount, including: Calculating a second average particle size value based on the second particle size data set; Obtaining an average particle size difference according to the second average particle size value and the average particle size threshold; Determine an adjustment coefficient according to the average particle size difference to adjust the initial rotation speed adjustment amount, obtain the rotation speed adjustment amount, and store data of the rotation speed adjustment amount; When the average particle size difference is greater than 0, the rotation speed adjustment amount is proportional to the adjustment coefficient; when the average particle size difference is less than 0, the rotation speed adjustment amount is inversely proportional to the adjustment coefficient.

10. A system for detecting the pulverization effect of a raw material for a nutrient, applied to the method for detecting the pulverization effect of a raw material for a nutrient as claimed in any one of claims 1 to 9, characterized in that: include: The acquisition module is configured to acquire raw material type data of the nutrient, determine the initial crushing particle size of the raw material according to the raw material type data, and determine the rotation speed of the crusher according to the initial crushing particle size; and is also configured to acquire first particle size data of the raw material in real time when crushing the raw material, establish a first particle size data set, and calculate a first average particle size value of the raw material according to the first particle size data set; a judgment module, configured to compare the first average particle size value with an average particle size threshold, and judge whether to adjust the rotation speed according to the comparison result; When it is determined that the rotation speed is to be adjusted, the acquisition module is controlled to acquire the environmental data inside the pulverizer, and a pulverization influence factor is calculated according to the average particle size value and the environmental data, the pulverization influence factor is compared with historical data, and the rotation speed adjustment amount is determined according to the comparison result; The adjustment module is configured to control the acquisition module to acquire the load data and vibration data of the pulverizer when the pulverization influence factor is different from the pulverization influence factor in the historical data, and determine the initial speed adjustment amount of the pulverizer according to the load data and the vibration data; and is also configured to control the acquisition module to acquire the second particle size data of the raw material after the speed adjustment is completed, establish a second particle size data set, and determine the maximum particle size value and the minimum particle size value according to the second particle size data set, and obtain the particle size difference by subtracting the maximum particle size value from the minimum particle size value; compare the particle size difference with the particle size difference threshold, and determine whether to adjust the initial speed adjustment amount according to the comparison result, and determine the speed adjustment amount; The storage module is configured to store data of the crushing influence factor and the rotation speed adjustment amount.

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