Agricultural fertilizer grinding process optimization method and system

Abstract

The invention discloses an agricultural fertilizer grinding process optimization method and system, and relates to the technical field of grinding machine control. The agricultural fertilizer grinding process optimization method comprises the following steps: analyzing no-load efficiency; analyzing the grinding efficiency; and performing uniformity analysis. According to the method, the no-load energy consumption performance of the grinding machine is quantified through the obtained no-load energy consumption data, whether grinding efficiency analysis is carried out or not is judged, if yes, whether uniformity analysis is carried out or not is judged based on the result of the grinding efficiency analysis, and if yes, uniformity analysis is carried out on the particle size distribution state of the agricultural fertilizer of the specified batch. Whether grinding process optimization is completed or not is judged, the effect of improving the dynamic regulation and control accuracy of the grinding parameters of the agricultural fertilizer in the grinding process is achieved, and the problem that in the prior art, the dynamic regulation and control accuracy of the grinding parameters of the agricultural fertilizer in the grinding process is not high is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of grinder control, and in particular to a method and system for optimizing an agricultural fertilizer grinding process. Background Art

[0002] With the continuous development of agricultural production and the increasing demand for fertilizer quality, optimizing the agricultural fertilizer grinding process has become an important research area. Traditional agricultural fertilizer grinding methods often suffer from problems such as low grinding efficiency, uneven particle size distribution, and high energy consumption. These issues not only affect fertilizer efficiency and utilization, but also increase production costs. Furthermore, the continuous development of automation and intelligent technologies has provided new ideas and methods for optimizing the agricultural fertilizer grinding process. By introducing automated control systems and intelligent algorithms, precise control of the grinding process can be achieved, improving grinding efficiency and fertilizer quality.

[0003] Existing technology ensures uniform particle size and improves subsequent grinding efficiency by screening and removing impurities from fertilizer raw materials. Key parameters such as the grinder's speed, feed rate, and grinding time are set according to the characteristics of the raw materials. The grinder is started and fine grinding is performed using optimized parameters to ensure that the fertilizer particles reach the ideal fineness. The particle size distribution of the ground fertilizer is tested using professional equipment, and unqualified particles are returned for re-grinding.

[0004] For example, the invention patent announcement number is CN117406683B, which is a monitoring and control management system for the automated production line of Chinese medicine formula granules. The system includes: obtaining the particle size and particle size uniformity of each Chinese medicine formula granule sample set in the powder making and grinding process in the production line of Chinese medicine formula granules, analyzing the compliance coefficient of the powder making and grinding process; judging whether the process parameters of the powder making and grinding process need to be adjusted according to the compliance coefficient of the powder making and grinding process, and if adjustment is required, obtaining the adjustment direction and adjustment amount of the process parameters of the powder making and grinding process; obtaining the particle size and particle size uniformity of each Chinese medicine formula granule sample set in the powder making and grinding process in the production line of Chinese medicine formula granules, analyzing the compliance coefficient of the powder making and grinding process; judging whether the process parameters of the powder making and grinding process need to be adjusted according to the compliance coefficient of the powder making and grinding process, and obtaining the adjustment direction and adjustment amount of the process parameters of the powder making and grinding process; obtaining the particle size and particle size uniformity of each Chinese medicine formula granule sample set in the powder making and grinding process in the production line of Chinese medicine formula granules, and analyzing the compliance coefficient of the powder making and grinding process; judging whether the particle size and particle size uniformity of each Chinese medicine formula granule sample set in the powder making and grinding process The particle size and particle hardness of each set of Chinese medicine formula granule samples in the granulation process of the line are collected, and the particle size compliance coefficient and particle hardness compliance coefficient of the granulation process are analyzed; according to the particle size compliance coefficient and particle hardness compliance coefficient of the granulation process, it is judged whether the process parameters of the granulation process need to be adjusted. If adjustment is required, the adjustment direction and adjustment amount of the process parameters of the granulation process are obtained; the equipment failure information and process parameter adjustment information of the Chinese medicine formula granule production line during the monitoring period are obtained, the performance evaluation index of the Chinese medicine formula granule production line is analyzed, and feedback is provided.

[0005] For example, the control method, control system, soymilk machine, and computer equipment for soymilk production disclosed in the invention patent announcement with announcement number CN109426180B include: receiving a start instruction for making soymilk and supplying water to the steam device; controlling the steam device to spray high-temperature steam of a first preset temperature into the grinding device to inactivate enzymes with the high-temperature steam; when the high-temperature steam inactivation time reaches the preset inactivation time, stopping the spraying, injecting a preset amount of cold water into the grinding device, starting the grinding device and controlling the grinding device to grind the material therein at a preset speed; when the grinding time reaches the preset grinding time, ending the grinding, and starting the heating device to heat the material in the grinding device; detecting the temperature of the material, and when the temperature of the material reaches a second preset temperature, stopping the heating and ending the pulping.

[0006] However, in the process of implementing the technical solutions of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems: In the existing technology, due to the lack of a real-time feedback mechanism for the grinding process, when the raw material properties, equipment status or environmental factors change, the grinding parameters cannot be adjusted in time, resulting in unstable grinding effects. Secondly, although the existing technology can screen and remove impurities from the raw materials, it is difficult to completely eliminate the impact of fluctuations in the raw material properties on the grinding parameters. There is a problem of low accuracy in the dynamic control of grinding parameters during the grinding process of agricultural fertilizers. Summary of the Invention

[0007] The embodiments of the present application solve the problem of low accuracy of dynamic control of grinding parameters of agricultural fertilizers during the grinding process in the prior art by providing a method and system for optimizing the grinding process of agricultural fertilizers, thereby improving the accuracy of dynamic control of grinding parameters of agricultural fertilizers during the grinding process.

[0008] An embodiment of the present application provides a method for optimizing the grinding process of agricultural fertilizers, comprising the following steps: Step 1: at the end of the no-load operation period, the no-load energy consumption performance of the grinder is quantified based on the acquired no-load energy consumption data, and it is determined whether to perform a grinding efficiency analysis. The no-load energy consumption data is used to quantify the energy consumption of the grinder corresponding to a specified batch of agricultural fertilizers in a no-load state, and the grinding efficiency analysis is used to quantify the grinding efficiency of the grinder corresponding to the specified batch of agricultural fertilizers in a loaded operation period; Step 2: if a grinding efficiency analysis is performed, the load energy consumption performance of the grinder is quantified based on the acquired load energy consumption data, and it is determined whether to perform a uniformity analysis. The load energy consumption data is used to quantify the energy consumption of the grinder corresponding to the specified batch of agricultural fertilizers in a loaded state, and the uniformity analysis is used to quantify the particle size uniformity of the specified batch of agricultural fertilizers at the end of a preset grinding period; Step 3: if a uniformity analysis is performed, a uniformity analysis is performed on the particle size distribution state of the specified batch of agricultural fertilizers to determine whether the grinding process optimization is completed.

[0009] An embodiment of the present application provides an agricultural fertilizer grinding process optimization system, including: a no-load efficiency analysis module, a grinding efficiency analysis module and a uniformity analysis module; wherein the no-load efficiency analysis module is used to quantify the no-load energy consumption performance of the grinder based on the acquired no-load energy consumption data at the end of the no-load operation period, and determine whether to perform a grinding efficiency analysis, the no-load energy consumption data is used to quantify the energy consumption of the grinder corresponding to a specified batch of agricultural fertilizers in a no-load state, and the grinding efficiency analysis is used to quantify the grinding efficiency of the grinder corresponding to the specified batch of agricultural fertilizers in a loaded operation period; the grinding efficiency analysis module is used to quantify the load energy consumption performance of the grinder based on the acquired load energy consumption data if a grinding efficiency analysis is performed, and determine whether to perform a uniformity analysis, the load energy consumption data is used to quantify the energy consumption of the grinder corresponding to the specified batch of agricultural fertilizers in a loaded state, and the uniformity analysis is used to quantify the particle size uniformity of the specified batch of agricultural fertilizers at the end of a preset grinding period; the uniformity analysis module is used to perform a uniformity analysis on the particle size distribution state of the specified batch of agricultural fertilizers if a uniformity analysis is performed, and determine whether the grinding process optimization is completed.

[0010] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages: 1. The no-load energy consumption performance of the grinder is quantified by obtaining no-load energy consumption data to determine whether to perform a grinding efficiency analysis. If so, whether to perform a uniformity analysis is determined based on the results of the grinding efficiency analysis. If so, a uniformity analysis is performed on the particle size distribution state of a specified batch of agricultural fertilizers to determine whether the grinding process optimization is completed, thereby achieving an improvement in the accuracy of the grinding process optimization, and further achieving an improvement in the accuracy of the dynamic regulation of the grinding parameters of the agricultural fertilizer during the grinding process, effectively solving the problem of low accuracy of the dynamic regulation of the grinding parameters of the agricultural fertilizer during the grinding process in the prior art.

[0011] 2. The difference between the obtained average bearing surface temperature and the maximum allowable bearing surface temperature in the database is compensated by the bearing surface temperature compensation value to obtain the bearing surface temperature impact judgment value. At the same time, the obtained bearing surface temperature impact judgment value, motor harmonic loss impact judgment value and inverter loss impact judgment value are coupled and averaged to obtain the no-load energy efficiency analysis index, thereby improving the accuracy of obtaining the no-load energy efficiency analysis index and achieving a more accurate evaluation of the no-load operation efficiency of the grinder.

[0012] 3. By judging whether the obtained grinding machine speed deviation score difference is within the allowable range of the grinding machine speed deviation score difference in the database, it is judged whether the grinding machine speed deviation influence judgment value is obtained. If so, the obtained grinding machine speed deviation influence judgment value, feed amount deviation influence judgment value and grinding time deviation influence judgment value are coupled to obtain the grinding efficiency analysis index, thereby achieving an improvement in the accuracy of obtaining the grinding efficiency analysis index, and thus achieving a more accurate evaluation of the grinder load operation efficiency.

[0013] 4. Through quantitative evaluation of the particle size normal distribution value, it is ensured that the particle size distribution meets the normality requirements, the proportion of large particles or too fine particles is reduced, and the fertilizer utilization rate is improved. At the same time, the grinding time is dynamically adjusted through the PID control algorithm to avoid energy waste caused by excessive grinding, while ensuring particle size uniformity and improving production efficiency. By integrating particle size detection, normality test and PID control algorithm, the grinding process is automatically optimized, providing technical support for smart agriculture. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A flowchart of a method for optimizing an agricultural fertilizer grinding process provided in an embodiment of the present application; Figure 2 A structural schematic diagram of an agricultural fertilizer grinding process optimization system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0015] The embodiments of the present application solve the problem of low accuracy of dynamic control of grinding parameters of agricultural fertilizers during the grinding process in the prior art by providing a method and system for optimizing the grinding process of agricultural fertilizers. At the end of the no-load operation period, the no-load energy consumption performance of the grinder is quantified based on the acquired no-load energy consumption data, and at the same time, it is determined whether to perform a grinding efficiency analysis based on the acquired no-load energy consumption efficiency analysis index. If a grinding efficiency analysis is performed, the load energy consumption performance of the grinder is quantified based on the acquired load energy consumption data, and then it is determined whether to perform a uniformity analysis based on the acquired grinding efficiency analysis index. If a uniformity analysis is performed, a uniformity analysis is performed on the particle size distribution state of a specified batch of agricultural fertilizers. Finally, based on the acquired normal distribution value of the particle size, it is determined whether the grinding process optimization is completed, thereby achieving an improvement in the accuracy of dynamic control of grinding parameters of agricultural fertilizers during the grinding process.

[0016] The technical solution in the embodiment of the present application is to solve the problem of low accuracy in the dynamic control of grinding parameters during the grinding process of the above-mentioned agricultural fertilizers. The overall idea is as follows: The no-load energy consumption performance of the grinder is quantified by obtaining no-load energy consumption data to determine whether a grinding efficiency analysis is performed. If so, a uniformity analysis is determined based on the results of the grinding efficiency analysis. If so, a uniformity analysis is performed on the particle size distribution of a specified batch of agricultural fertilizers to determine whether the grinding process optimization is completed, thereby achieving the effect of improving the accuracy of dynamic control of grinding parameters during the grinding process of agricultural fertilizers.

[0017] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0018] like Figure 1 FIG. 1 is a flow chart of a method for optimizing an agricultural fertilizer grinding process provided by an embodiment of the present application. The method for optimizing an agricultural fertilizer grinding process provided by an embodiment of the present application includes the following steps: Step 1: At the end of the no-load operation period, the no-load energy consumption performance of the grinder is quantified based on the obtained no-load energy consumption data to determine whether to perform a grinding efficiency analysis. The no-load energy consumption data is used to quantify the energy consumption of the grinder corresponding to the specified batch of agricultural fertilizers under no-load conditions. The grinding efficiency analysis is used to quantify the grinding efficiency of the grinder corresponding to the specified batch of agricultural fertilizers during the load operation period. The no-load energy consumption data includes the initial grinder speed, the average bearing surface temperature, the motor harmonic loss and the inverter loss. The initial grinder speed indicates the initial speed of the grinder before the start of the no-load operation period, considering the hardness and humidity of the specified batch of agricultural fertilizers themselves. The average bearing surface temperature is used to reflect the wear state of the bearings of the grinder corresponding to the specified agricultural fertilizer under no-load conditions. The motor harmonic loss is used to reflect the additional energy loss generated by the motor in the grinder corresponding to the specified batch of agricultural fertilizers due to harmonics under inverter power supply. The inverter loss is used to reflect the inverter's own loss in the power transmission process and the additional loss caused by the motor harmonic reaction in the grinder corresponding to the specified batch of agricultural fertilizers.

[0019] Step 2: If grinding efficiency analysis is performed, the load energy consumption performance of the grinder is quantified based on the obtained load energy consumption data to determine whether to perform uniformity analysis. The load energy consumption data is used to quantify the energy consumption of the grinder corresponding to a specified batch of agricultural fertilizers under load. The uniformity analysis is used to quantify the particle size uniformity of the specified batch of agricultural fertilizers at the end of the preset grinding period. The load energy consumption data includes the grinder speed deviation, the feed amount deviation and the grinding time deviation. The grinder speed deviation represents the absolute value of the difference between the first grinder speed and the second grinder speed, which is used to reflect the degree of difference between the first grinder speed and the second grinder speed. The first grinder speed deviation is the absolute value of the difference between the first grinder speed and the second grinder speed. The speed indicates the corresponding grinder speed when the motor speed adjustment is completed. The second grinder speed indicates the corresponding grinder speed at the end of the load operation period. The feed amount deviation indicates the absolute value of the difference between the actual feed amount obtained and the target feed amount (set by the preset personnel), which is used to reflect the degree of difference between the actual feed amount of a specified batch of agricultural fertilizers at the end of the load operation period and the corresponding target feed amount. The grinding time deviation indicates the absolute value of the difference between the actual grinding time obtained and the target grinding time (set by the preset personnel), which is used to reflect the degree of difference between the actual grinding time of a specified batch of agricultural fertilizers at the end of the load operation period and the corresponding target grinding time.

[0020] Step 3: If uniformity analysis is performed, the particle size distribution of the specified batch of agricultural fertilizer is analyzed to determine whether the grinding process optimization is completed.

[0021] Specifically, the grinder speed (including the initial grinder speed and the actual grinder speed) is monitored by a Hall effect speed sensor installed at the end of the grinder's main shaft (directly connected to the motor), the average bearing surface temperature is monitored by an infrared thermal imager installed on the side of the grinder's bearing outer ring (mounting hole position must be reserved), the motor harmonic loss is monitored by a harmonic analyzer installed at the grinder's motor input end corresponding to the inverter output side (three-phase power line), the inverter loss is monitored by a power analyzer installed at the grinder's inverter input end corresponding to the grid power supply side (three-phase power line), the actual feed amount is monitored by a flow sensor installed at the grinder's feed port, and the amount is monitored by a timer installed at the motor input end of the grinder. The harmonic analyzer is integrated into the power analyzer, and the power analyzer includes input and output power measurement modules.

[0022] The aforementioned database is a database for storing various types of setting data established before the design of the agricultural fertilizer grinding process optimization method. The database includes but is not limited to preset no-load energy consumption efficiency analysis indicators, preset grinding efficiency analysis indicators, preset particle size normal distribution values, and no-load operation time periods and load operation time periods. Various numerical values are directly set by technical personnel. Among them, the setting basis of the preset no-load energy consumption efficiency analysis indicator can be determined according to the actual application scenario of the grinder. For example, the preset no-load energy consumption efficiency analysis indicator is represented by the sum and average of the historical no-load energy consumption efficiency analysis indicators of the grinder corresponding to the specified batch of agricultural fertilizers in the database within the historical no-load operation time period. In addition, various numerical values in the database can be set and fine-tuned by technical personnel according to actual debugging.

[0023] In this embodiment, compared to the prior art that focuses solely on a single energy consumption indicator (e.g., total power) and ignores the coordinated optimization of the grinder's no-load and loaded energy consumption, this example considers the grinder's no-load energy consumption in a no-load state. For example, when grinding agricultural fertilizers with lower hardness, the grinder's initial speed is appropriately reduced to reduce motor and inverter losses while maintaining a qualified particle size distribution. This initial speed reduction or increase is adaptively performed by the corresponding speed PID (Proportional-Integral-Derivative) control algorithm in the grinder. Furthermore, the impact of the grinder's operating state on the grinding state of a given batch of agricultural fertilizers is fully considered. Through a three-level analysis system (i.e., no-load energy consumption analysis → loaded energy consumption analysis → particle size uniformity analysis), a step-by-step optimization is performed with the goal of minimizing total energy consumption, balancing grinding efficiency and equipment losses. This significantly improves the accuracy of the dynamic control of grinding parameters (including motor speed, inverter output power, agricultural fertilizer feed rate, grinder speed, and grinding time) during the agricultural fertilizer grinding process, achieving an economical, efficient, and environmentally friendly grinding process.

[0024] Furthermore, the no-load energy consumption performance of the grinding machine is quantified based on the acquired no-load energy consumption data. The specific steps include: First, the difference between the average bearing surface temperature and the maximum allowable bearing surface temperature in the database is compensated by the bearing surface temperature compensation value to obtain the bearing surface temperature influence judgment value. The specific restriction expression is: , where Indicates the bearing surface temperature impact judgment value of the grinding machine bearing corresponding to a specified batch of agricultural fertilizers during the no-load operation period. Indicates the bearing surface temperature compensation value, It represents the average bearing surface temperature of the grinding machine bearings at the end of the no-load operation period for a specified batch of agricultural fertilizers. Indicates the maximum allowable bearing surface temperature. The average bearing surface temperature is not greater than the maximum allowable bearing surface temperature in the database. The maximum allowable bearing surface temperature indicates the maximum historical bearing surface temperature of the grinding machine corresponding to a specified batch of agricultural fertilizers at the end of the historical no-load operation period. Then, the motor harmonic loss compensation value is used to compensate for the difference between the obtained motor harmonic loss and the maximum allowable motor harmonic loss in the database, and the motor harmonic loss impact judgment value is obtained. The specific restriction expression is: , where Indicates the impact judgment value of the motor harmonic loss in the grinder corresponding to a specified batch of agricultural fertilizers during the no-load operation period. Indicates the compensation value of motor harmonic loss. Indicates the motor harmonic loss of the motor in the grinder corresponding to a specified batch of agricultural fertilizers at the end of the no-load operation period. Indicates the maximum allowable motor harmonic loss.

[0025] Then, the difference between the inverter consumption and the maximum allowable inverter consumption in the database is compensated by the inverter consumption compensation value to obtain the inverter consumption impact judgment value. The specific restriction expression is: , where Indicates the influence judgment value of the inverter consumption in the grinder corresponding to a specified batch of agricultural fertilizers during the no-load operation period. Indicates the inverter consumption compensation value, Indicates the inverter consumption in the grinder corresponding to a specified batch of agricultural fertilizers at the end of the no-load operation period. Indicates the maximum allowable inverter loss. The values of the bearing surface temperature compensation value, motor harmonic loss compensation value, and inverter loss compensation value are usually in the range of 0 to 1, and the sum of the three is 1.

[0026] Finally, the obtained bearing surface temperature influence judgment value, motor harmonic loss influence judgment value, and inverter loss influence judgment value are coupled and averaged to obtain the no-load energy efficiency analysis index. The no-load energy efficiency analysis index represents the quantitative data of the degree of influence of the average bearing surface temperature, motor harmonic loss, and inverter loss on the no-load operation efficiency of the grinder. The specific restriction expression of the no-load energy efficiency analysis index is: , where It represents the no-load energy consumption efficiency analysis index of the grinder corresponding to a specified batch of agricultural fertilizers during the no-load operation period.

[0027] Among them, the bearing surface temperature compensation value, the motor harmonic loss compensation value, and the inverter loss compensation value are respectively the influence of the average bearing surface temperature, motor harmonic loss, and inverter loss on the no-load operating efficiency of the grinding machine pre-set in the database. Specifically, the database stores preset compensation values corresponding to the average bearing surface temperature, motor harmonic loss, and inverter loss. There is a pre-set mapping relationship between these compensation values and the average bearing surface temperature, motor harmonic loss, and inverter loss. This mapping relationship can be one-to-one or many-to-one. For example, in actual applications, the real-time average bearing surface temperature, motor harmonic loss, and inverter loss can be input into this mapping relationship to quickly obtain the corresponding compensation value.

[0028] In this embodiment, the no-load energy consumption efficiency analysis index increases with the increase of the average bearing surface temperature, the motor harmonic loss, and the inverter loss. Among them, the increase in the average bearing surface temperature usually means increased friction and wear of the bearing, which may lead to additional load when the motor is running. This additional load will increase the current consumption of the motor and thus increase the motor harmonic loss. At the same time, the increase in bearing temperature may also indirectly affect the performance of the inverter, because the increase in motor load will require the inverter to provide more electrical energy, which may cause the power devices inside the inverter to generate more heat, thereby increasing the inverter loss.

[0029] An increase in motor harmonic losses usually means that the current waveform is distorted when the motor is running, which may lead to uneven magnetic field distribution inside the motor, thereby increasing uneven force and wear on the bearings, which may increase the average temperature of the bearing surface. At the same time, the increase in motor harmonic losses will require the inverter to have higher filtering and control capabilities to maintain stable operation of the motor, which may lead to increased circuit complexity and power consumption inside the inverter, thereby increasing the loss of the inverter.

[0030] By considering the above-mentioned mutual influence mechanism, it is helpful to have a more comprehensive understanding of the relationship between the no-load energy consumption efficiency analysis index and the average bearing surface temperature, motor harmonic loss, and inverter loss, thereby achieving an improvement in the accuracy of dynamic control of grinding parameters during the grinding process of agricultural fertilizers, and effectively solving the problem of low accuracy of dynamic control of grinding parameters during the grinding process of agricultural fertilizers in the existing technology.

[0031] Furthermore, the specific process for determining whether to perform grinding efficiency analysis is as follows: when the obtained no-load energy consumption efficiency analysis index is not greater than the no-load energy consumption efficiency analysis index preset in the database, grinding efficiency analysis is performed; otherwise, the motor speed is reduced based on the obtained no-load energy consumption efficiency analysis index deviation. The no-load energy consumption efficiency analysis index deviation is used to quantify the degree of difference between the obtained no-load energy consumption efficiency analysis index and the preset no-load energy consumption efficiency analysis index, that is, the difference between the obtained no-load energy consumption efficiency analysis index and the preset no-load energy consumption efficiency analysis index.

[0032] Among them, the specific process of reducing the motor speed based on the obtained no-load energy consumption efficiency analysis index deviation is: inputting the obtained no-load energy consumption efficiency analysis index deviation into the speed PID control algorithm of the motor in the grinder to output the motor speed reduction amplitude, and obtaining the loss reduction average after the motor speed reduction is completed once, and the loss reduction average represents the average value of the motor harmonic loss reduction and the inverter loss reduction; if the obtained loss reduction average is greater than the expected loss reduction average (set by the preset personnel), a secondary motor speed reduction instruction is sent, otherwise the re-acquired no-load energy consumption efficiency analysis index deviation is input into the output power PID control algorithm of the inverter in the grinder to obtain the inverter output power reduction amplitude, and the re-acquired no-load energy consumption efficiency analysis index deviation represents the degree of difference between the no-load energy consumption efficiency analysis index re-acquired after the motor speed is reduced once and the preset no-load energy consumption efficiency analysis index, that is, the difference between the re-acquired no-load energy consumption efficiency analysis index and the preset no-load energy consumption efficiency analysis index.

[0033] In this embodiment, by first determining the numerical relationship between the no-load energy efficiency analysis index and the no-load energy efficiency analysis index preset in the database, and then performing grinding efficiency analysis, it is possible to avoid performing invalid or inefficient grinding efficiency analysis when the energy efficiency is poor, thereby improving the accuracy of the grinding efficiency analysis. Secondly, by real-time monitoring and adjustment of the no-load energy efficiency analysis index, the problem of excessive energy consumption can be discovered and solved in a timely manner, thereby reducing energy consumption and costs in the grinding process, realizing intelligent monitoring and control of the grinding process, improving the automation and intelligence level of the system, and helping to improve overall production efficiency and quality.

[0034] Furthermore, the load energy consumption performance of the grinding machine is quantified based on the acquired load energy consumption data. The specific steps include: When the obtained grinder speed deviation score difference is within the allowable range of the grinder speed deviation score difference in the database, the grinder speed deviation influence judgment value is obtained, otherwise it indicates that the response of the motor in the grinder is delayed or the load suddenly changes and triggers the speed correction mechanism of the motor in the grinder; the grinder speed deviation score difference is used to quantify the degree of difference between the obtained grinder speed deviation score and the grinder speed deviation score preset in the database, that is, the difference between the obtained grinder speed deviation score and the grinder speed deviation score preset in the database; the grinder speed deviation score is used to quantify the degree of difference between the obtained grinder speed deviation and the grinder speed deviation preset in the database, that is, the ratio of the obtained grinder speed deviation to the grinder speed deviation preset in the database; the grinder speed deviation influence judgment value represents the result of the grinder speed deviation compensation value compensating for the difference between the obtained grinder speed deviation score and the grinder speed deviation score preset in the database, and the grinder speed deviation influence judgment value The specific restriction expression is: , , where Indicates the impact judgment value of the grinding machine speed deviation of the grinding machine corresponding to the specified batch of agricultural fertilizers during the load operation period. Indicates the grinding machine speed deviation compensation value, Indicates the deviation fraction of the grinding machine speed for a specified batch of agricultural fertilizers during the load operation period. Indicates the preset grinding machine speed deviation fraction, Indicates the speed deviation of the grinder for a specified batch of agricultural fertilizers during the load operation period. Indicates the preset grinding machine speed deviation.

[0035] Then, the difference between the obtained feed amount deviation and the feed amount deviation preset in the database is compensated by the feed amount deviation compensation value to obtain the feed amount deviation impact judgment value. The specific restriction expression is: , where Indicates the impact judgment value of feed amount deviation of a specified batch of agricultural fertilizer corresponding to the grinder during the load operation period. Indicates the feed amount deviation compensation value, Indicates the feed rate deviation of a specified batch of agricultural fertilizer corresponding to the grinder during the load operation period. Indicates the preset feed amount deviation.

[0036] Then, the difference between the obtained grinding time deviation and the grinding time deviation preset in the database is compensated by the grinding time deviation compensation value to obtain the grinding time deviation impact judgment value. The specific restriction expression is: , where Indicates the impact judgment value of grinding time deviation of a specified batch of agricultural fertilizers corresponding to the grinder during the load operation period. Indicates the grinding time deviation compensation value, Indicates the grinding time deviation of a specified batch of agricultural fertilizers corresponding to the grinder during load operation. Indicates the preset grinding time deviation. The values of the grinding machine speed deviation compensation value, feed amount deviation compensation value, and grinding time deviation compensation value involved are usually in the range of 0 to 1, and the sum of the three is 1.

[0037] Finally, the obtained grinding machine speed deviation influence judgment value, feed amount deviation influence judgment value, and grinding time deviation influence judgment value are coupled and processed to obtain the grinding efficiency analysis index. The grinding efficiency analysis index represents the quantitative data of the influence of load energy consumption data on the load operation efficiency of the grinding machine. The specific restriction expression of the grinding efficiency analysis index is: , where It represents the grinding efficiency analysis index of the grinder corresponding to a specified batch of agricultural fertilizers during the load operation period.

[0038] Specifically, the allowable range of the grinder speed deviation score difference includes the cases where it is equal to the minimum value of the grinder speed deviation score difference allowable range and the maximum value of the grinder speed deviation score difference allowable range. The speed correction mechanism of the motor in the grinder is used to correct the speed of the motor in the grinder. The specific correction process is: the obtained grinder speed deviation score difference is input into the speed PID control algorithm of the motor in the grinder to output the PID control gain adjustment amplitude. When the obtained grinder speed deviation score difference is less than the minimum value of the grinder speed deviation score difference allowable range, the PID control gain adjustment amplitude is mapped to the PID control gain increase amplitude. When the obtained grinder speed deviation score difference is greater than the maximum value of the grinder speed deviation score difference allowable range, the PID control gain adjustment amplitude is mapped to the PID control gain decrease amplitude.

[0039] The grinder speed deviation compensation value, feed amount deviation compensation value, and grinding time deviation compensation value are respectively pre-set in the database to indicate the degree of impact of the grinder speed deviation, feed amount deviation, and grinding time deviation on the no-load operating efficiency of the grinder. Specifically, the database stores preset compensation values corresponding to the grinder speed deviation, feed amount deviation, and grinding time deviation. These compensation values are mapped to the grinder speed deviation, feed amount deviation, and grinding time deviation in a pre-set manner. This mapping relationship can be one-to-one or many-to-one. For example, in actual applications, the real-time grinder speed deviation, feed amount deviation, and grinding time deviation can be input into this mapping relationship to quickly obtain the corresponding compensation value.

[0040] In this embodiment, the grinding efficiency analysis index increases with the increase of the grinder speed deviation, feed amount deviation, and grinding time deviation. When the grinder speed deviation increases, the material may stay in the grinding chamber for too short a time, resulting in insufficient grinding, and the feed amount needs to be increased to maintain the output, thereby increasing the additional grinding time. The grinding time deviation will also in turn affect the selection of the grinder speed. If the grinding time deviation increases, the grinder speed may need to be reduced to reduce energy consumption and over-grinding. When the feed rate deviation increases, the material accumulates in the grinding chamber and the grinding time is prolonged, which may lead to over-grinding and increased energy consumption. At the same time, as the grinding time is prolonged, the feed rate may need to be reduced to reduce energy consumption. If the grinding time is too short, the feed rate may need to be increased to improve production efficiency.

[0041] By comprehensively analyzing the deviation of the grinder speed, feed amount and grinding time, we can have a more comprehensive understanding of the problems in the grinding process, thereby more accurately evaluating the grinding efficiency, and thus achieving an improvement in the accuracy of the dynamic control of the grinding parameters of agricultural fertilizers during the grinding process, effectively solving the problem of low accuracy of the dynamic control of the grinding parameters of agricultural fertilizers during the grinding process in the existing technology.

[0042] Furthermore, the specific process for determining whether to perform a uniformity analysis is as follows: when the obtained grinding efficiency analysis index is not greater than the grinding efficiency analysis index preset in the database, a uniformity analysis is performed, and the preset grinding efficiency analysis index is represented by the sum and average of the historical grinding efficiency analysis indexes of the grinder corresponding to the specified batch of agricultural fertilizers in the database during the historical load operation period; when the obtained grinding efficiency analysis index is greater than the preset grinding efficiency analysis index in the database, the obtained grinding efficiency analysis index deviation is input into the feed amount PID control algorithm corresponding to the grinder to output the feed amount reduction amplitude of the next batch of agricultural fertilizers, and at the same time, the obtained feed amount reduction amplitude is mapped in the database to obtain the grinder speed reduction amplitude, and the grinding efficiency analysis index deviation is used to quantify the degree of difference between the obtained grinding efficiency analysis index and the preset grinding efficiency analysis index, that is, the difference between the obtained grinding efficiency analysis index and the preset grinding efficiency analysis index.

[0043] In this embodiment, by first determining whether the grinding efficiency analysis index is not greater than the grinding efficiency analysis index preset in the database, and then performing uniformity analysis, it can be ensured that the uniformity analysis is performed under conditions of better grinding efficiency, thereby improving the pertinence and effectiveness of the analysis. The optimized grinding process control helps to improve the uniformity and quality of agricultural fertilizers, meet users' demand for high-quality fertilizers, and thereby realize intelligent monitoring and automated regulation of the grinding process, reduce manual intervention, and improve the intelligence and automation level of the system.

[0044] Furthermore, a uniformity analysis is performed on the particle size distribution state of a specified batch of agricultural fertilizers. The specific process is: the particle size uniformity of the corresponding specified batch of agricultural fertilizers at the end of a preset grinding period is evaluated through a particle size distribution test (such as a laser particle size analyzer), the particle size distribution data is obtained, and a particle size distribution histogram is generated based on the obtained particle size distribution data; the particle size distribution data includes the particle size distribution mean and the particle size distribution standard deviation.

[0045] Among them, the mean value of the particle size distribution is used to reflect the central value of the particle size distribution, that is, the average level of the data distribution. For example, a=150μm means that the average particle size is 150 microns; the standard deviation of the particle size distribution is used to reflect the degree of dispersion of the particle size distribution. That is, the smaller the standard deviation of the particle size distribution, the more concentrated the particle size distribution is, and the more uniform the particle size of the fertilizer particles is. For example, b=20μm means that most particles are concentrated in the range of 130-170 microns. The preset grinding period includes the no-load operation period (i.e., the stage after the grinder is started without agricultural fertilizer input, which is used to quantify the no-load energy consumption performance of the grinder) and the loaded operation period (i.e., the actual grinding stage, which is used to quantify the loaded energy consumption performance of the grinder). The particle size distribution histogram is used to visualize the changing relationship between the corresponding particle size range (horizontal axis) and the number of particles (vertical axis) of a specified batch of agricultural fertilizer.

[0046] In this embodiment, the particle size distribution histogram can intuitively display the changing relationship between the particle size range and the number of particles corresponding to a specified batch of agricultural fertilizers, which helps to quickly understand the particle size distribution status and discover potential particle size unevenness problems. At the same time, based on the analysis of the particle size distribution data, the operating parameters of the grinder (such as grinding time, grinding speed, feed amount, etc.) can be adjusted to optimize the grinding process, improve the particle size uniformity of the agricultural fertilizer, and thereby improve the accuracy and reliability of decision-making.

[0047] Furthermore, the specific process for determining whether the grinding process optimization is completed is as follows: when the obtained particle size normal distribution value is not greater than the particle size normal distribution value preset in the database (usually set to 0.05), the grinding process optimization is completed and the next grinding period monitoring instruction is sent. The particle size normal distribution value deviation is used to quantify the degree of difference between the obtained particle size normal distribution value and the preset particle size normal distribution value, that is, the difference between the obtained particle size normal distribution value and the preset particle size normal distribution value; when the obtained particle size normal distribution value is greater than the particle size normal distribution value preset in the database, the preset personnel is prompted to check the grinding process, and at the same time, the obtained particle size normal distribution value deviation is input into the grinding time PID control algorithm corresponding to the grinder to output the grinding time increase value and obtain the grinding time setting value for the next batch of agricultural fertilizers. The grinding time setting value is the sum of the initial grinding time setting value of the grinder before the start of the no-load operation period and the obtained grinding time increase value.

[0048] In this embodiment, by setting a specific particle size normal distribution value as a judgment criterion, the optimization degree of the grinding process can be evaluated more accurately to avoid over-optimization or under-optimization. When the obtained particle size normal distribution value is not greater than the particle size normal distribution value preset in the database, the grinding process optimization is automatically completed and a monitoring instruction is sent, which reduces manual intervention and improves production efficiency; when the obtained particle size normal distribution value is greater than the particle size normal distribution value preset in the database, the preset personnel are automatically prompted to check, and the deviation is input into the PID control algorithm to output the grinding time increase value, thereby realizing automatic adjustment of the grinding time, ensuring that the grinding degree of each batch of fertilizer is consistent, and improving product consistency.

[0049] like Figure 2As shown, it is a structural diagram of an agricultural fertilizer grinding process optimization system provided by an embodiment of the present application. An agricultural fertilizer grinding process optimization system provided by an embodiment of the present application includes: a no-load efficiency analysis module, a grinding efficiency analysis module and a uniformity analysis module; wherein, the no-load efficiency analysis module is used to quantify the no-load energy consumption performance of the grinder based on the acquired no-load energy consumption data at the end of the no-load operation period, and determine whether to perform grinding efficiency analysis. The no-load energy consumption data is used to quantify the energy consumption of the grinder corresponding to a specified batch of agricultural fertilizers in a no-load state, and the grinding efficiency analysis is used to quantify the energy consumption of the grinder corresponding to a specified batch of agricultural fertilizers in a no-load state. The grinding efficiency of the fertilizer corresponding grinder during the load operation period; the grinding efficiency analysis module is used to quantify the load energy consumption performance of the grinder based on the acquired load energy consumption data if a grinding efficiency analysis is performed, and to determine whether a uniformity analysis is performed. The load energy consumption data is used to quantify the energy consumption of the grinder corresponding to a specified batch of agricultural fertilizers under load. The uniformity analysis is used to quantify the particle size uniformity of the specified batch of agricultural fertilizers at the end of the preset grinding period; the uniformity analysis module is used to perform a uniformity analysis on the particle size distribution state of the specified batch of agricultural fertilizers if a uniformity analysis is performed, and to determine whether the grinding process optimization is completed.

[0050] In this embodiment, through the collaborative work of the no-load efficiency analysis module, the grinding efficiency analysis module and the uniformity analysis module, the system obtains no-load energy consumption data and load energy consumption data, and conducts quantitative analysis on the energy consumption performance of the grinder, providing data support for optimization. This quantitative analysis method can more accurately reflect the energy consumption of the grinder, help to discover high-energy consumption links and perform targeted optimization, and realize the automation and intelligent control of the grinding process.

[0051] To summarize, the embodiment of the present application quantifies the no-load energy consumption performance of the grinder through the acquired no-load energy consumption data, and determines whether to perform a grinding efficiency analysis. If so, it determines whether to perform a uniformity analysis based on the results of the grinding efficiency analysis. If so, it performs a uniformity analysis on the particle size distribution state of a specified batch of agricultural fertilizers to determine whether the grinding process optimization is completed, thereby achieving an improvement in the accuracy of the grinding process optimization, and further achieving an improvement in the accuracy of the dynamic regulation of the grinding parameters of the agricultural fertilizer during the grinding process, effectively solving the problem of low accuracy of the dynamic regulation of the grinding parameters of the agricultural fertilizer during the grinding process in the prior art.

[0052] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0053] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. 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.

[0054] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work 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 The function specified in one or more boxes.

[0055] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0056] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0057] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for optimizing the grinding process of agricultural fertilizers, characterized in that: The following steps are involved: Step 1: At the end of the no-load operation period, the no-load energy consumption performance of the grinder is quantified based on the acquired no-load energy consumption data to determine whether to perform a grinding efficiency analysis, wherein the no-load energy consumption data is used to quantify the energy consumption of the grinder corresponding to the specified batch of agricultural fertilizers in a no-load state, and the grinding efficiency analysis is used to quantify the grinding efficiency of the grinder corresponding to the specified batch of agricultural fertilizers during the loaded operation period; Step 2: If a grinding efficiency analysis is performed, the load energy consumption performance of the grinder is quantified based on the acquired load energy consumption data to determine whether a uniformity analysis is performed. The load energy consumption data is used to quantify the energy consumption of the grinder under load for a specified batch of agricultural fertilizers. The uniformity analysis is used to quantify the particle size uniformity of the specified batch of agricultural fertilizers at the end of a preset grinding period. Step 3: If uniformity analysis is performed, the particle size distribution of the specified batch of agricultural fertilizer is analyzed to determine whether the grinding process optimization is completed.

2. The method for optimizing the agricultural fertilizer grinding process according to claim 1, wherein: The no-load energy consumption data includes the initial grinding machine speed, the average bearing surface temperature, the motor harmonic loss and the inverter loss; The average bearing surface temperature is used to reflect the wear state of the bearing of the grinding machine corresponding to the specified agricultural fertilizer under no-load conditions; The motor harmonic loss is used to reflect the additional energy loss caused by harmonics in the motor of the grinder corresponding to a specified batch of agricultural fertilizers when powered by a frequency converter; The inverter loss is used to reflect the inverter's own loss in the grinder corresponding to a specified batch of agricultural fertilizers during the power transmission process and the additional loss caused by the motor harmonic reaction.

3. The method for optimizing the agricultural fertilizer grinding process according to claim 2, wherein: The step of quantifying the no-load energy consumption performance of the grinding machine based on the acquired no-load energy consumption data comprises the following specific steps: The difference between the obtained average bearing surface temperature and the maximum allowable bearing surface temperature in the database is compensated by the bearing surface temperature compensation value to obtain the bearing surface temperature influence judgment value; The motor harmonic loss compensation value is used to compensate for the difference between the obtained motor harmonic loss and the maximum allowable motor harmonic loss in the database, thereby obtaining a motor harmonic loss impact judgment value; The difference between the acquired inverter consumption and the maximum allowable inverter consumption in the database is compensated by the inverter consumption compensation value to obtain the inverter consumption impact judgment value; The obtained bearing surface temperature influence judgment value, motor harmonic loss influence judgment value and inverter loss influence judgment value are coupled and averaged to obtain a no-load energy efficiency analysis index. The no-load energy efficiency analysis index represents the quantitative data of the degree of influence of the average bearing surface temperature, motor harmonic loss and inverter loss on the no-load operation efficiency of the grinder.

4. The method for optimizing the agricultural fertilizer grinding process according to claim 3, wherein: The specific process of determining whether to perform grinding efficiency analysis is as follows: When the obtained no-load energy consumption efficiency analysis index is not greater than the no-load energy consumption efficiency analysis index preset in the database, the grinding efficiency analysis is performed; otherwise, the motor speed is reduced based on the obtained no-load energy consumption efficiency analysis index deviation, where the no-load energy consumption efficiency analysis index deviation is used to quantify the degree of difference between the obtained no-load energy consumption efficiency analysis index and the preset no-load energy consumption efficiency analysis index; The specific process of reducing the motor speed based on the obtained no-load energy consumption efficiency analysis index deviation is as follows: The obtained no-load energy consumption efficiency analysis index deviation is input into the motor speed PID control algorithm in the grinding machine to output the motor speed reduction amplitude, and the average value of the loss reduction is obtained after the motor speed reduction is completed once; If the obtained average value of the loss reduction is greater than the expected average value of the loss reduction, a secondary motor speed reduction instruction is sent; otherwise, the re-acquired no-load energy consumption efficiency analysis index deviation is input into the output power PID control algorithm of the inverter in the grinder to obtain the output power reduction amplitude of the inverter. The re-acquired no-load energy consumption efficiency analysis index deviation represents the degree of difference between the no-load energy consumption efficiency analysis index re-acquired after the primary motor speed is reduced and the preset no-load energy consumption efficiency analysis index.

5. The method for optimizing the agricultural fertilizer grinding process according to claim 1, wherein: The load energy consumption data includes the grinding machine speed deviation, feed amount deviation and grinding time deviation; The grinding machine speed deviation is used to reflect the difference between the first grinding machine speed and the second grinding machine speed; The first grinding machine speed represents the grinding machine speed corresponding to when the motor speed adjustment is completed; The second grinding machine speed represents the grinding machine speed corresponding to the end of the load operation period; The feed rate deviation is used to reflect the difference between the actual feed rate of a specified batch of agricultural fertilizers at the end of the load operation period and the corresponding target feed rate; The grinding time deviation is used to reflect the degree of difference between the actual grinding time of a specified batch of agricultural fertilizers at the end of the load operation period and the corresponding target grinding time.

6. The method for optimizing the agricultural fertilizer grinding process according to claim 5, wherein: The step of quantifying the load energy consumption performance of the grinding machine based on the acquired load energy consumption data specifically includes: When the obtained grinding machine speed deviation score difference is within the grinding machine speed deviation score difference allowable range in the database, the grinding machine speed deviation impact judgment value is obtained, otherwise the speed correction mechanism of the motor in the grinding machine is triggered; Compensating the difference between the obtained feed amount deviation and the feed amount deviation preset in the database by using the feed amount deviation compensation value to obtain a feed amount deviation impact judgment value; Compensating the difference between the acquired grinding time deviation and the grinding time deviation preset in the database by using the grinding time deviation compensation value to obtain a grinding time deviation impact determination value; The obtained grinding machine speed deviation influence judgment value, feed amount deviation influence judgment value and grinding time deviation influence judgment value are coupled to obtain the grinding efficiency analysis index; The grinding machine speed deviation score difference is used to quantify the degree of difference between the obtained grinding machine speed deviation score and the grinding machine speed deviation score preset in the database; The grinding machine speed deviation score is used to quantify the degree of difference between the obtained grinding machine speed deviation and the grinding machine speed deviation preset in the database; The grinding machine speed deviation influence determination value represents the result of the grinding machine speed deviation compensation value compensating the difference between the obtained grinding machine speed deviation score and the grinding machine speed deviation score preset in the database; The grinding efficiency analysis index represents quantitative data on the degree of influence of load energy consumption data on the load operation efficiency of the grinding machine.

7. The method for optimizing the agricultural fertilizer grinding process according to claim 6, wherein: The specific process of determining whether to perform uniformity analysis is as follows: When the obtained grinding efficiency analysis index is not greater than the grinding efficiency analysis index preset in the database, uniformity analysis is performed; When the obtained grinding efficiency analysis index is greater than the grinding efficiency analysis index preset in the database, the obtained grinding efficiency analysis index deviation is input into the feed amount PID control algorithm corresponding to the grinder to output the feed amount reduction amplitude of the next batch of agricultural fertilizers. At the same time, the obtained feed amount reduction amplitude is mapped in the database to obtain the grinder speed reduction amplitude; The grinding efficiency analysis index deviation is used to quantify the degree of difference between the obtained grinding efficiency analysis index and the preset grinding efficiency analysis index.

8. The method for optimizing the agricultural fertilizer grinding process according to claim 1, wherein: The specific process of uniformity analysis of the particle size distribution of a specified batch of agricultural fertilizers is as follows: evaluating the particle size uniformity of a specified batch of agricultural fertilizer at the end of a preset grinding period through particle size distribution testing, obtaining particle size distribution data, and generating a particle size distribution histogram based on the obtained particle size distribution data; The particle size distribution data includes a particle size distribution mean and a particle size distribution standard deviation; The particle size distribution mean is used to reflect the central value of the particle size distribution; The particle size distribution standard deviation is used to reflect the degree of dispersion of the particle size distribution; The preset grinding period includes a no-load operation period and a load operation period; The particle size distribution histogram is used to visualize the changing relationship between the particle size interval and the number of particles in a specified batch of agricultural fertilizers.

9. The method for optimizing the agricultural fertilizer grinding process according to claim 8, wherein: The specific process of determining whether the grinding process optimization is completed is as follows: When the obtained particle size normal distribution value is not greater than the particle size normal distribution value preset in the database, the grinding process optimization is completed and the next grinding period monitoring instruction is sent; When the obtained particle size normal distribution value is greater than the particle size normal distribution value preset in the database, the preset personnel are prompted to check the grinding process. At the same time, the obtained particle size normal distribution value deviation is input into the grinding time PID control algorithm corresponding to the grinder to output the grinding time increase value and obtain the grinding time setting value for the next batch of agricultural fertilizers; The particle size normal distribution value deviation is used to quantify the degree of difference between the obtained particle size normal distribution value and the preset particle size normal distribution value; The grinding time setting value is the sum of the initial grinding time setting value before the grinding machine starts the no-load operation period and the obtained grinding time increase value.

10. An agricultural fertilizer grinding process optimization system, characterized in that: include: No-load efficiency analysis module, grinding efficiency analysis module and uniformity analysis module; The no-load efficiency analysis module is used to quantify the no-load energy consumption performance of the grinder based on the acquired no-load energy consumption data at the end of the no-load operation period, and determine whether to perform a grinding efficiency analysis. The no-load energy consumption data is used to quantify the energy consumption of the grinder corresponding to a specified batch of agricultural fertilizers in a no-load state, and the grinding efficiency analysis is used to quantify the grinding efficiency of the grinder corresponding to the specified batch of agricultural fertilizers during the loaded operation period. The grinding efficiency analysis module is configured to quantify the load energy consumption performance of the grinder based on the acquired load energy consumption data when performing a grinding efficiency analysis, and determine whether to perform a uniformity analysis. The load energy consumption data is used to quantify the energy consumption of the grinder corresponding to a specified batch of agricultural fertilizers under a load state. The uniformity analysis is used to quantify the particle size uniformity of the specified batch of agricultural fertilizers at the end of a preset grinding period. The uniformity analysis module is used to perform uniformity analysis on the particle size distribution state of a specified batch of agricultural fertilizers to determine whether the grinding process optimization is completed.

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