Operation data acquisition, optimization and analysis system based on coal-series graphite purification system

Abstract

The invention relates to the field of coal-based graphite purification monitoring management, and particularly discloses an operation data acquisition optimization analysis system based on a coal-based graphite purification system.The operation data acquisition optimization analysis system is characterized in that technological parameters of raw material pretreatment are preliminarily set, and the technological parameters are optimized according to particle size distribution after raw material pretreatment; preliminarily setting technological parameters of acid leaching, and optimizing the technological parameters according to the acid consumption rate and the reaction heat release temperature in the acid leaching process; preliminarily setting process parameters of alkali neutralization, and optimizing the process parameters according to the neutralization rate of the alkali neutralization process; preliminarily setting process parameters of washing and dewatering, and optimizing the process parameters according to the conductivity of a washing solution for washing and dewatering and the water content of a filter cake; preliminarily setting drying process parameters, and optimizing the process parameters according to the residual moisture content after drying; the self-adaptive optimization of key process parameters of each process link of coal-based graphite purification is realized, and the production efficiency and the product quality of coal-based graphite purification are better guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of monitoring and management of coal-based graphite purification, and relates to an operation data acquisition and optimization analysis system based on a coal-based graphite purification system. Background Art

[0002] Coal-based graphite is a natural graphite resource formed by the graphitization transformation of carbon-rich coal under high-temperature geological action. It has a high carbon content and an ordered crystal structure, and is an important raw material in the fields of new energy, high-end materials, etc. However, natural coal-based graphite generally contains impurities such as ash, sulfides, and volatile components. Insufficient purity directly affects its electrical conductivity, thermal conductivity, mechanical strength, and chemical stability. Therefore, deep purification is required through processes such as high-temperature calcination, acid leaching purification, and flotation separation to increase the carbon content to meet the high-end application requirements such as anode materials for lithium-ion batteries, moderators for nuclear reactors, and aerospace seals.

[0003] The purity of coal-based graphite has a strong positive correlation with its performance. If the purification process is insufficient or out of control, it will lead to deterioration of product performance, increased processing costs, environmental pollution risks, and increased equipment wear. Therefore, it is of practical significance to collect operation data and optimize the analysis of coal-based graphite purification and improve the quality of the purification process.

[0004] Existing operation management and analysis methods for coal-based graphite purification focus on the optimization of the storage layout of graphite ore and the judgment of the overall process compliance, which belong to the material management and quality monitoring at the front end of production. For example, the Chinese patent with the publication number CN117669999B discloses an intelligent management system for graphite purification production, including a collection module for collecting graphite ore information of multiple graphite ore piles, an acquisition module connected to the collection module for acquiring graphite ore requirement information, a purification module connected to the acquisition module, a real-time collection module, and a judgment module connected to the real-time collection module for judging whether pure graphite is qualified based on the graphite ore requirement information. This invention can store the same type of graphite ore in sequence according to the stock quantity, and can reasonably arrange the storage layout of graphite ore, making it more efficient for subsequent transportation operations in the purification and processing of graphite ore, facilitating processing operations. This invention judges whether pure graphite is qualified based on the graphite ore requirement information, and prompts the unqualified information in pure graphite when pure graphite is unqualified, where the unqualified information includes the component information of unqualified pure graphite and the corresponding purification step information.

[0005] However, the existing methods do not involve the refined process control in the production process, such as the dynamic regulation and optimization of process parameters in the coal-based graphite purification process, especially the dynamic regulation of key production links in the coal-based graphite purification process, such as chemical treatment processes like acid leaching and washing, and thus cannot better guarantee the production efficiency and product quality of coal-based graphite purification. Summary of the Invention

[0006] In view of the above problems, the present invention proposes an operation data acquisition and optimization analysis system based on a coal-series graphite purification system, realizing the function of monitoring and management of coal-series graphite purification.

[0007] The technical solution adopted by the present invention to solve its technical problems is as follows: The present invention provides an operation data acquisition and optimization analysis system based on a coal-series graphite purification system, including: A raw material pretreatment optimization unit: used to obtain the characteristic information of the coal-series graphite raw material and the limitation information of the raw material pretreatment equipment, initially set the crushing strength and pretreatment temperature of the raw material pretreatment in coal-series graphite purification, and optimize the process parameters of the raw material pretreatment according to the particle size distribution after the raw material pretreatment.

[0008] An acid leaching reaction control unit: used to initially set the acid concentration, reaction temperature, reaction duration, and stirring rate of the acid leaching in coal-series graphite purification according to the characteristic information of the coal-series graphite raw material, and optimize the process parameters of the acid leaching according to the acid consumption rate and reaction exothermic temperature during the acid leaching process.

[0009] An alkali neutralization regulation unit: used to obtain the pH of the liquid after acid leaching, initially set the alkali solution concentration and neutralization temperature of the alkali neutralization in coal-series graphite purification, and optimize the process parameters of the alkali neutralization according to the neutralization rate during the alkali neutralization process.

[0010] A washing and dewatering adjustment unit: used to obtain the ion concentration of various impurities after alkali neutralization, initially set the washing water consumption, washing times, and centrifuge speed of the washing and dewatering in coal-series graphite purification, and optimize the process parameters of the washing and dewatering according to the conductivity of the washing liquid and the moisture content of the filter cake during the washing and dewatering.

[0011] A drying process optimization unit: used to obtain the product requirements of the coal-series graphite, initially set the drying temperature and drying duration of the drying in coal-series graphite purification, and optimize the process parameters of the drying according to the residual moisture content after drying.

[0012] A database: used to store the expert rule library of the coal-series graphite purification process and the limitation information of the raw material pretreatment equipment.

[0013] Compared with the prior art, the operation data acquisition and optimization analysis system based on a coal-series graphite purification system of the present invention has the following beneficial effects: 1. The present invention initially sets the key process parameters of each process link in coal-series graphite purification according to the expert rule library of the coal-series graphite purification process, and dynamically adjusts the key process parameters of each process link according to the actual operation conditions of each process link, forming a closed-loop control of the coal-series graphite purification process parameters, and being able to realize the optimization of the coal-series graphite purification process parameters.

[0014] 2. The present invention collects data on the operating condition information of each process link in the purification of coal-based graphite, and establishes a dynamic model of the key process parameters and operating condition information of each process link in the purification of coal-based graphite, so as to realize the adaptive optimization of the key process parameters of each process link in the purification of coal-based graphite, and further better ensure the production efficiency and product quality of the purification of coal-based graphite. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0016] Figure 1 It is a system module connection diagram of the present invention.

[0017] Figure 2 It is a production process flow chart of the purification of coal-based graphite of the present invention.

[0018] Figure 3 It is a logic flow chart of the optimization of the process parameters for the purification of coal-based graphite of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0020] Please refer to Figure 1 、 Figure 2 、 Figure 3 As shown, the present invention provides an operation data collection and optimization analysis system based on a coal-based graphite purification system, including a raw material pretreatment optimization unit, an acid leaching reaction control unit, an alkali neutralization regulation unit, a washing and dehydration adjustment unit, a drying process optimization unit, and a database.

[0021] The acid leaching reaction control unit is respectively connected to the raw material pretreatment optimization unit and the alkali neutralization regulation unit. The washing and dehydration adjustment unit is respectively connected to the alkali neutralization regulation unit and the drying process optimization unit. The database is respectively connected to the raw material pretreatment optimization unit, the acid leaching reaction control unit, the alkali neutralization regulation unit, the washing and dehydration adjustment unit, and the drying process optimization unit.

[0022] The raw material pretreatment optimization unit is used to obtain the characteristic information of the coal-based graphite raw material and the limitation information of the raw material pretreatment equipment, initially set the crushing strength and pretreatment temperature of the raw material pretreatment in the purification of coal-based graphite, and optimize the process parameters of the raw material pretreatment according to the particle size distribution after the raw material pretreatment.

[0023] Further, the specific working process of the raw material pretreatment optimization unit includes: obtaining the characteristic information of the coal-based graphite raw material to obtain the original ash content and the content of various impurities of the coal-based graphite raw material, extracting the expert rule base of the coal-based graphite purification process stored in the database, obtaining the relationship comparison table between the original ash content, the content of various impurities of the coal-based graphite raw material and the crushing strength and pretreatment temperature of the raw material pretreatment, and screening to obtain the estimated crushing strength and pretreatment temperature of the raw material pretreatment in the purification of coal-based graphite.

[0024] Extract the limitation information of the raw material pretreatment equipment stored in the database, and obtain the maximum crushing strength limited by the crushing equipment capacity and the upper temperature resistance limit of the drying equipment.

[0025] Compare the estimated crushing strength of the raw material pretreatment with the maximum crushing strength limited by the crushing equipment capacity, and analyze the reference crushing strength of the raw material pretreatment.

[0026] As a preferred solution, to analyze the reference crushing strength of the raw material pretreatment, the specific method is: if the estimated crushing strength of the raw material pretreatment is less than or equal to the maximum crushing strength limited by the crushing equipment capacity, then record the estimated crushing strength of the raw material pretreatment as the reference crushing strength of the raw material pretreatment; otherwise, record the maximum crushing strength limited by the crushing equipment capacity as the reference crushing strength of the raw material pretreatment.

[0027] Compare the estimated pretreatment temperature of the raw material pretreatment with the upper temperature resistance limit of the drying equipment, and analyze the reference pretreatment temperature of the raw material pretreatment.

[0028] As a preferred solution, to analyze the reference pretreatment temperature of the raw material pretreatment, the specific method is: if the estimated pretreatment temperature of the raw material pretreatment is less than or equal to the upper temperature resistance limit of the drying equipment, then record the estimated pretreatment temperature of the raw material pretreatment as the reference pretreatment temperature of the raw material pretreatment; otherwise, record the upper temperature resistance limit of the drying equipment as the reference pretreatment temperature of the raw material pretreatment.

[0029] According to the reference crushing strength and reference pretreatment temperature of the raw material pretreatment, initially set the crushing strength and pretreatment temperature of the raw material pretreatment in the purification of coal-based graphite.

[0030] It should be noted that in the present invention, the purification of coal-based graphite adopts the combined acid-base method, i.e., the acid-base method. This method effectively removes impurities through chemical treatment and increases the carbon content. Its principle is to use acid to dissolve metal oxides and alkali to remove impurities such as silicates, and purify graphite through multiple steps of reaction. It has the characteristics of low cost and mature process, and is suitable for large-scale production.

[0031] As a preferred solution, the raw material of coal-based graphite is coal-based graphite ore.

[0032] As a preferred solution, various impurities contained in the raw material of coal-based graphite include but are not limited to silicon dioxide, aluminum oxide, iron oxide, calcium oxide, magnesium oxide, etc.

[0033] As a preferred solution, the crushing equipment for raw material pretreatment includes but is not limited to jaw crushers, cone crushers, etc.

[0034] Furthermore, the specific working process of the raw material pretreatment optimization unit further includes: S1: Detect the particle size distribution after raw material pretreatment through an on-line particle size analyzer, draw a particle size distribution curve, obtain the mode of the particle size after raw material pretreatment, record it as the actual particle size of raw material pretreatment, compare the actual particle size of raw material pretreatment with the preset expected particle size of raw material pretreatment to obtain the particle size deviation of raw material pretreatment, and compare it with the preset allowable range of particle size deviation. If the particle size deviation of raw material pretreatment exceeds its allowable range, the crushing force of raw material pretreatment needs to be optimized, and S2 is executed. Otherwise, it does not need to be optimized.

[0035] S2: Obtain the sign of the particle size deviation of raw material pretreatment. If it is a positive sign, the adjustment direction of the crushing force of raw material pretreatment is to increase; if it is a negative sign, the adjustment direction of the crushing force of raw material pretreatment is to decrease.

[0036] Obtain the absolute value of the particle size deviation of raw material pretreatment, record it as the particle size deviation amount of raw material pretreatment, and substitute the particle size deviation amount of raw material pretreatment into the relationship between the preset particle size deviation amount and the crushing force adjustment amount to obtain the crushing force adjustment amount of raw material pretreatment.

[0037] Optimize the crushing force of raw material pretreatment according to the adjustment direction and adjustment amount of the crushing force of raw material pretreatment.

[0038] As a preferred solution, the particle size distribution curve is drawn with the particle size as the abscissa and the cumulative particle size distribution percentage as the ordinate.

[0039] As a preferred solution, the expected particle size of raw material pretreatment is set according to actual application requirements.

[0040] As a preferred solution, the particle size deviation of raw material pretreatment refers to the difference between the actual particle size of raw material pretreatment and the expected particle size.

[0041] As a preferred solution, the particle size deviation of the raw material pretreatment includes a sign, that is, the particle size deviation of the raw material pretreatment can be a positive number, a negative number or zero.

[0042] It should be noted that if the crushing force of the raw material pretreatment has reached the maximum crushing force limit of the crushing equipment capacity, no adjustment is made.

[0043] As a preferred solution, the relationship between the particle size deviation amount and the crushing force adjustment amount in the raw material pretreatment during the purification of coal-based graphite is obtained based on historical production experience. The larger the particle size deviation amount, the larger the crushing force adjustment amount.

[0044] As a preferred solution, the crushing force of the raw material pretreatment can be adjusted by dynamically adjusting the rotation speed of the crusher.

[0045] The acid leaching reaction control unit is used to initially set the acid concentration, reaction temperature, reaction duration, and stirring rate of the acid leaching during the purification of coal-based graphite according to the characteristic information of the coal-based graphite raw material, and optimize the process parameters of the acid leaching based on the acid consumption rate and the reaction heat release temperature during the acid leaching process.

[0046] Further, the specific working process of the acid leaching reaction control unit includes: extracting the expert rule base of the coal-based graphite purification process stored in the database, obtaining the relationship comparison table between the various impurity contents of the coal-based graphite raw material and the acid type, acid concentration, reaction temperature, reaction time, and stirring rate of the acid leaching, screening to obtain the acid concentration, reaction temperature, reaction duration, and stirring rate for reference in the acid leaching during the purification of coal-based graphite, and making settings.

[0047] As a preferred solution, different impurities in the coal-based graphite raw material correspond to different types of acids in the acid leaching. The types of acids in the acid leaching include but are not limited to hydrochloric acid, sulfuric acid, hydrofluoric acid, etc. In a specific embodiment, silicate impurities in the coal-based graphite raw material require hydrofluoric acid, and metal oxide impurities require hydrochloric acid or sulfuric acid.

[0048] In another specific embodiment, the equilibrium point of the reaction temperature and reaction duration of the acid leaching during the purification of coal-based graphite is estimated based on a kinetic model such as the Arrhenius equation.

[0049] In another specific embodiment, the acid concentration of the acid leaching is further restricted based on the economic principle and the environmental protection principle. For example, high-concentration acid can shorten the time but increase the cost, and the acid concentration needs to meet the waste liquid treatment standard.

[0050] Furthermore, the specific working process of the acid leaching reaction control unit further includes: D1: Detect the acid consumption rate during the acid leaching process in the purification of coal-based graphite through an on-line pH meter, compare it with the expected acid consumption rate of the preset acid leaching process, and obtain the acid consumption rate deviation during the acid leaching process.

[0051] Detect the reaction exothermic temperature during the acid leaching process in the purification of coal-based graphite through a temperature sensor, compare it with the expected reaction exothermic temperature of the preset acid leaching process, and obtain the reaction exothermic temperature deviation during the acid leaching process.

[0052] D2: Compare the acid consumption rate deviation and the reaction exothermic temperature deviation during the acid leaching process with the allowable ranges of the preset acid consumption rate deviation and the reaction exothermic temperature deviation respectively. If both the acid consumption rate deviation and the reaction exothermic temperature deviation during the acid leaching process are within their allowable ranges, the process parameters of the acid leaching do not need to be optimized. Otherwise, the process parameters of the acid leaching need to be optimized, and D3 is executed.

[0053] D3: Obtain the sign and absolute value of the acid consumption rate deviation during the acid leaching process, and analyze the adjustment directions and adjustment amounts of the acid concentration, reaction duration, and stirring rate of the acid leaching.

[0054] As a preferred solution, to analyze the adjustment directions and adjustment amounts of the acid concentration, reaction duration, and stirring rate of the acid leaching, the specific method is: Obtain the sign of the acid consumption rate deviation during the acid leaching process. If it is a positive sign, the adjustment directions of the acid concentration, reaction duration, and stirring rate of the acid leaching are all to decrease. If it is a negative sign, the adjustment directions of the acid concentration, reaction duration, and stirring rate of the acid leaching are all to increase.

[0055] Obtain the absolute value of the acid consumption rate deviation during the acid leaching process, record it as the acid consumption rate deviation amount during the acid leaching process, and substitute the acid consumption rate deviation amount into the relationship between the preset acid consumption rate deviation amount and the adjustment amounts of the acid concentration, reaction duration, and stirring rate of the acid leaching to obtain the adjustment amounts of the acid concentration, reaction duration, and stirring rate of the acid leaching.

[0056] D4: Obtain the sign and absolute value of the reaction exothermic temperature deviation during the acid leaching process, and analyze the adjustment direction and adjustment amount of the reaction temperature of the acid leaching.

[0057] As a preferred solution, to analyze the adjustment direction and adjustment amount of the reaction temperature of the acid leaching, the specific method is: Obtain the sign of the reaction exothermic temperature deviation during the acid leaching process. If it is a positive sign, the adjustment direction of the reaction temperature of the acid leaching is to decrease. If it is a negative sign, the adjustment direction of the reaction temperature of the acid leaching is to increase.

[0058] Obtain the absolute value of the reaction exothermic temperature deviation during the acid leaching process, denote it as the reaction exothermic temperature deviation amount of the acid leaching process, and substitute the reaction exothermic temperature deviation amount into the relationship between the preset reaction exothermic temperature deviation amount and the adjustment amount of the reaction temperature of the acid leaching to obtain the adjustment amount of the reaction temperature of the acid leaching.

[0059] D5: Optimize the process parameters of the acid leaching according to the adjustment direction and adjustment amount of the acid concentration, reaction temperature, reaction duration, and stirring rate of the acid leaching.

[0060] In another specific embodiment, the acid consumption rate during the acid leaching in the purification of coal-based graphite is detected by a conductivity meter.

[0061] As a preferred solution, the desired acid consumption rate and the desired reaction exothermic temperature during the acid leaching process are set according to the actual application requirements.

[0062] As a preferred solution, the acid consumption rate deviation during the acid leaching process refers to the difference between the acid consumption rate during the acid leaching process and the desired acid consumption rate. The reaction exothermic temperature deviation during the acid leaching process refers to the difference between the reaction exothermic temperature during the acid leaching process and the desired reaction exothermic temperature.

[0063] As a preferred solution, the acid consumption rate deviation and the reaction exothermic temperature deviation during the acid leaching process include signs and can be positive, negative, or zero.

[0064] As a preferred solution, the relationship between the acid consumption rate deviation amount and the adjustment amounts of the acid concentration, reaction duration, and stirring rate of the acid leaching is obtained based on historical production experience.

[0065] As a preferred solution, the relationship between the reaction exothermic temperature deviation amount and the adjustment amount of the reaction temperature of the acid leaching is obtained based on historical production experience.

[0066] In a specific embodiment, the acid concentration of the acid leaching is adjusted by the way of dynamically adding acid solution.

[0067] In a specific embodiment, the reaction temperature of the acid leaching is adjusted by adjusting the temperature of the jacket of the reaction kettle.

[0068] The alkali neutralization control unit is used to obtain the pH of the liquid after acid leaching, initially set the alkali solution concentration and neutralization temperature for alkali neutralization in the purification of coal-based graphite, and optimize the process parameters of alkali neutralization according to the neutralization rate during the alkali neutralization process.

[0069] Further, the specific working process of the alkali neutralization control unit includes: detecting the pH of the liquid after acid leaching through an on-line pH meter, extracting the expert rule base of the coal-based graphite purification process stored in the database, obtaining the relation comparison table between the pH of the liquid after acid leaching and the alkali concentration and neutralization temperature of alkali neutralization, screening out the alkali concentration and neutralization temperature of alkali neutralization in coal-based graphite purification, and setting them.

[0070] Further, the specific working process of the alkali neutralization control unit also includes: E1: Detecting the neutralization rate of the alkali neutralization process in coal-based graphite purification, comparing it with the expected neutralization rate of the preset alkali neutralization process, and obtaining the neutralization rate deviation of the alkali neutralization process.

[0071] E2: Comparing the neutralization rate deviation of the alkali neutralization process with the allowable range of the preset neutralization rate deviation. If the neutralization rate deviation of the alkali neutralization process exceeds its allowable range, the process parameters of alkali neutralization need to be optimized, and E3 is executed. Otherwise, the process parameters of alkali neutralization do not need to be optimized.

[0072] E3: Obtaining the sign and absolute value of the neutralization rate deviation of the alkali neutralization process, and analyzing the adjustment direction and adjustment amount of the alkali concentration and neutralization temperature of alkali neutralization.

[0073] As a preferred solution, the method for analyzing the adjustment direction and adjustment amount of the alkali concentration and neutralization temperature of alkali neutralization is as follows: obtaining the sign of the neutralization rate deviation of the alkali neutralization process. If it is a positive sign, the adjustment directions of both the alkali concentration and neutralization temperature of alkali neutralization are decreasing. If it is a negative sign, the adjustment directions of both the alkali concentration and neutralization temperature of alkali neutralization are increasing.

[0074] Obtaining the absolute value of the neutralization rate deviation of the alkali neutralization process, denoting it as the neutralization rate deviation amount of the alkali neutralization process, and substituting the neutralization rate deviation amount into the relation between the preset neutralization rate deviation amount and the adjustment amounts of the alkali concentration and neutralization temperature of alkali neutralization, to obtain the adjustment amounts of the alkali concentration and neutralization temperature of alkali neutralization.

[0075] Optimizing the process parameters of alkali neutralization according to the adjustment direction and adjustment amount of the alkali concentration and neutralization temperature of alkali neutralization.

[0076] As a preferred solution, the expected neutralization rate of the alkali neutralization process is set according to actual application requirements.

[0077] As a preferred solution, the neutralization rate deviation of the alkali neutralization process refers to the difference between the neutralization rate of the alkali neutralization process and the expected neutralization rate.

[0078] As a preferred solution, the neutralization rate deviation of the alkali neutralization process includes a sign and can be a positive number, a negative number or zero.

[0079] As a preferred solution, the relationship between the deviation of the neutralization rate and the adjustment amounts of the alkali concentration and the neutralization temperature for alkali neutralization is obtained based on historical production experience.

[0080] The washing and dewatering adjustment unit is used to obtain the ion concentrations of various impurities after alkali neutralization, initially set the washing water consumption, washing times, and centrifuge speed for washing and dewatering in the purification of coal-based graphite, and optimize the process parameters of washing and dewatering according to the conductivity of the washing liquid and the moisture content of the filter cake in washing and dewatering.

[0081] Furthermore, the specific working process of the washing and dewatering adjustment unit includes: obtaining the ion concentrations of various impurities after alkali neutralization, extracting the expert rule base of the coal-based graphite purification process stored in the database, obtaining the relationship comparison table between the ion concentrations of various impurities after alkali neutralization and the washing water consumption, washing times, and centrifuge speed for washing and dewatering, screening to obtain the washing water consumption, washing times, and centrifuge speed for washing and dewatering in the purification of coal-based graphite, and making settings.

[0082] Furthermore, the specific working process of the washing and dewatering adjustment unit also includes: F1: Detect the conductivity of the washing liquid in washing and dewatering through an on-line conductivity meter, compare it with the expected conductivity of the washing liquid for washing and dewatering preset, obtain the deviation of the conductivity of the washing liquid in washing and dewatering, and compare it with the allowable range of the preset conductivity deviation of the washing liquid. If the deviation of the conductivity of the washing liquid exceeds its allowable range, the washing water consumption and washing times for washing and dewatering need to be optimized, and F2 is executed. Otherwise, the washing water consumption and washing times for washing and dewatering do not need to be optimized.

[0083] F2: Obtain the sign and absolute value of the deviation of the conductivity of the washing liquid in washing and dewatering, and analyze the adjustment direction and adjustment amount of the washing water consumption and washing times for washing and dewatering.

[0084] As a preferred solution, the method for analyzing the adjustment direction and adjustment amount of the washing water consumption and washing times for washing and dewatering is as follows: obtain the sign of the deviation of the conductivity of the washing liquid in washing and dewatering. If it is a positive sign, the adjustment directions of both the washing water consumption and washing times for washing and dewatering are to decrease. If it is a negative sign, the adjustment directions of both the washing water consumption and washing times for washing and dewatering are to increase.

[0085] Obtain the absolute value of the deviation of the conductivity of the washing liquid in washing and dewatering, denote it as the deviation amount of the conductivity of the washing liquid in washing and dewatering, and substitute the deviation amount of the conductivity of the washing liquid into the relationship between the preset deviation amount of the conductivity of the washing liquid and the adjustment amounts of the washing water consumption and washing times for washing and dewatering to obtain the adjustment amounts of the washing water consumption and washing times for washing and dewatering.

[0086] F3: Detect the moisture content of the filter cake after washing and dewatering through a microwave moisture meter, compare it with the preset desired moisture content of the filter cake after washing and dewatering to obtain the deviation of the moisture content of the filter cake after washing and dewatering, and compare it with the preset allowable range of the deviation of the moisture content of the filter cake. If the deviation of the moisture content of the filter cake exceeds its allowable range, the rotational speed of the centrifuge for washing and dewatering needs to be optimized, and F4 is executed. Otherwise, the rotational speed of the centrifuge for washing and dewatering does not need to be optimized.

[0087] F4: Obtain the sign and absolute value of the deviation of the moisture content of the filter cake after washing and dewatering, and analyze the adjustment direction and adjustment amount of the rotational speed of the centrifuge for washing and dewatering.

[0088] As a preferred solution, to analyze the adjustment direction and adjustment amount of the rotational speed of the centrifuge for washing and dewatering, the specific method is: obtain the sign of the deviation of the moisture content of the filter cake after washing and dewatering. If it is a positive sign, the adjustment direction of the rotational speed of the centrifuge for washing and dewatering is to increase; if it is a negative sign, the adjustment direction of the rotational speed of the centrifuge for washing and dewatering is to decrease.

[0089] Obtain the absolute value of the deviation of the moisture content of the filter cake after washing and dewatering, record it as the deviation amount of the moisture content of the filter cake after washing and dewatering, and substitute the deviation amount of the moisture content of the filter cake into the relationship between the preset deviation amount of the moisture content of the filter cake and the rotational speed of the centrifuge for washing and dewatering to obtain the adjustment amount of the rotational speed of the centrifuge for washing and dewatering.

[0090] F5: Optimize the process parameters of washing and dewatering according to the washing water consumption, number of washing times, and adjustment direction and adjustment amount of the rotational speed of the centrifuge for washing and dewatering.

[0091] As a preferred solution, the desired conductivity of the washing liquid and the desired moisture content of the filter cake for washing and dewatering are set according to actual application requirements.

[0092] As a preferred solution, the deviation of the conductivity of the washing liquid for washing and dewatering refers to the difference between the conductivity of the washing liquid for washing and dewatering and the desired conductivity of the washing liquid. The deviation of the moisture content of the filter cake for washing and dewatering refers to the difference between the moisture content of the filter cake for washing and dewatering and the desired moisture content of the filter cake.

[0093] As a preferred solution, the deviation of the conductivity of the washing liquid and the deviation of the moisture content of the filter cake for washing and dewatering include signs and can be positive, negative, or zero.

[0094] As a preferred solution, the relationship between the deviation amount of the conductivity of the washing liquid and the adjustment amount of the washing water consumption and the number of washing times for washing and dewatering is obtained based on historical production experience.

[0095] As a preferred solution, the relationship between the deviation amount of the moisture content of the filter cake and the rotational speed of the centrifuge for washing and dewatering is obtained based on historical production experience.

[0096] The drying process optimization unit is used to obtain the product requirements of coal-based graphite, initially set the drying temperature and drying duration during the purification of coal-based graphite, and optimize the process parameters of drying based on the residual moisture content after drying.

[0097] Further, the specific working process of the drying process optimization unit is as follows: G1: Obtain the product requirements of coal-based graphite, obtain the crystallinity of coal-based graphite, extract the expert rule base of the coal-based graphite purification process stored in the database, obtain the relationship comparison table between the crystallinity of coal-based graphite and the drying temperature and drying duration, screen and set the drying temperature and drying duration during the purification of coal-based graphite.

[0098] G2: Detect the residual moisture content after drying through an infrared humidity sensor, compare it with the expected residual moisture content after drying preset, and obtain the deviation of the residual moisture content after drying.

[0099] Compare the deviation of the residual moisture content after drying with the allowable range of the preset residual moisture content deviation. If the deviation of the residual moisture content after drying exceeds its allowable range, the process parameters of drying need to be optimized, and G3 is executed; otherwise, the process parameters of drying do not need to be optimized.

[0100] G3: Substitute the deviation of the residual moisture content after drying into the relationship between the preset residual moisture content deviation and the correction amount of the drying temperature and drying duration, obtain the correction amount of the drying temperature and drying duration, and then optimize the process parameters of drying.

[0101] As a preferred solution, the product requirements of coal-based graphite can be input manually.

[0102] As a preferred solution, the expected residual moisture content after drying is set according to actual application requirements.

[0103] As a preferred solution, the deviation of the residual moisture content after drying is the difference between the residual moisture content after drying and the expected residual moisture content. The deviation of the residual moisture content after drying includes a sign and can be a positive number, a negative number, or zero.

[0104] As a preferred solution, the correction amount of the drying temperature and drying duration includes a sign and can be a positive number, a negative number, or zero.

[0105] As a preferred solution, the relationship between the residual moisture content deviation and the correction amount of the drying temperature and drying duration is obtained based on historical production experience.

[0106] The database is used to store the expert rule base of the coal-based graphite purification process and the limit information of the raw material pretreatment equipment.

[0107] It should be noted that the present invention initially sets the key process parameters of each process link of coal-based graphite purification according to the expert rule base of the coal-based graphite purification process, and dynamically adjusts the key process parameters of each process link according to the actual operation conditions of each process link, forming a closed-loop control of the process parameters of coal-based graphite purification, and can realize the optimization of the process parameters of coal-based graphite purification.

[0108] It should be noted that the present invention realizes the adaptive optimization of the key process parameters of each process link of coal-based graphite purification by collecting data on the operation condition information of each process link of coal-based graphite purification and establishing a dynamic model of the key process parameters and the operation condition information of each process link of coal-based graphite purification, thereby better ensuring the production efficiency and product quality of coal-based graphite purification.

[0109] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of the present technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall fall within the protection scope of the present invention.

Claims

1. An operation data acquisition and optimization analysis system based on a coal-based graphite purification system, characterized in that Including: Raw material pretreatment optimization unit: Obtain the characteristic information of the coal-based graphite raw material and the limitation information of the raw material pretreatment equipment, set the crushing force and pretreatment temperature for the raw material pretreatment in the purification of coal-based graphite, and optimize the pretreatment process parameters according to the particle size distribution after the raw material pretreatment; Acid leaching reaction control unit: Set the acid concentration, reaction temperature, reaction duration and stirring rate for the acid leaching in the purification of coal-based graphite according to the characteristic information of the coal-based graphite raw material, and optimize the acid leaching process parameters according to the acid consumption rate and reaction exothermic temperature during the acid leaching; Alkali neutralization regulation unit: Obtain the pH of the liquid after acid leaching, set the alkali solution concentration and neutralization temperature for the alkali neutralization in the purification of coal-based graphite, and optimize the alkali neutralization process parameters according to the neutralization rate during the alkali neutralization process; Washing and dehydration adjustment unit: Obtain the ionic concentrations of various impurities after alkali neutralization, set the washing water consumption, washing times and centrifuge speed for the washing and dehydration in the purification of coal-based graphite, and optimize the process parameters of the washing and dehydration according to the conductivity of the washing liquid and the moisture content of the filter cake during the washing and dehydration; Drying process optimization unit: Obtain the product requirements of the coal-based graphite, set the drying temperature and drying duration for the drying in the purification of coal-based graphite, and optimize the drying process parameters according to the residual moisture content after drying; Database: Store the expert rule base of the coal-based graphite purification process and the limitation information of the raw material pretreatment equipment.

2. The operation data acquisition and optimization analysis system based on the coal series graphite purification system according to claim 1, wherein: The specific working process of the raw material pretreatment optimization unit includes: Obtain the characteristic information of the coal-based graphite raw material, obtain the original ash content and the content of various impurities of the coal-based graphite raw material, extract the expert rule base of the coal-based graphite purification process stored in the database, obtain the relationship comparison table between the original ash content, the content of various impurities of the coal-based graphite raw material and the crushing force and pretreatment temperature of the raw material pretreatment, and screen to obtain the estimated crushing force and pretreatment temperature for the raw material pretreatment in the purification of coal-based graphite; Extract the limitation information of the raw material pretreatment equipment stored in the database, and obtain the maximum crushing force limited by the crushing equipment capacity and the upper temperature limit resistant to the drying equipment; Compare the estimated crushing force for the raw material pretreatment with the maximum crushing force limited by the crushing equipment capacity, and analyze the reference crushing force for the raw material pretreatment; Compare the estimated pretreatment temperature for the raw material pretreatment with the upper temperature limit resistant to the drying equipment, and analyze the reference pretreatment temperature for the raw material pretreatment; Preliminarily set the crushing force and pretreatment temperature for the raw material pretreatment in the purification of coal-based graphite according to the reference crushing force and reference pretreatment temperature for the raw material pretreatment.

3. An operation data acquisition and optimization analysis system for a coal-based graphite purification system according to claim 2, characterized in that: The specific working process of the raw material pretreatment optimization unit also includes: S1: Detect the particle size distribution after the raw material pretreatment through an on-line particle size analyzer, draw a particle size distribution curve, obtain the mode of the particle size after the raw material pretreatment, record it as the actual particle size of the raw material pretreatment, compare the actual particle size of the raw material pretreatment with the expected particle size of the preset raw material pretreatment, obtain the particle size deviation of the raw material pretreatment, and compare it with the preset allowable range of the particle size deviation. If the particle size deviation of the raw material pretreatment exceeds its allowable range, the crushing force of the raw material pretreatment needs to be optimized, and S2 is executed. Otherwise, it does not need to be optimized; S2: Obtain the sign of the particle size deviation of raw material pretreatment. If it is a positive sign, the adjustment direction of the crushing force during raw material pretreatment is to increase; if it is a negative sign, the adjustment direction of the crushing force during raw material pretreatment is to decrease; Obtain the absolute value of the particle size deviation of raw material pretreatment, denote it as the particle size deviation amount of raw material pretreatment, and substitute the particle size deviation amount of raw material pretreatment into the relationship between the preset particle size deviation amount and the crushing force adjustment amount to obtain the adjustment amount of the crushing force during raw material pretreatment; Optimize the crushing force during raw material pretreatment according to the adjustment direction and adjustment amount of the crushing force during raw material pretreatment.

4. The operation data acquisition and optimization analysis system based on the coal series graphite purification system according to claim 2, wherein: The specific working process of the acid leaching reaction control unit includes: Extract the expert rule base of the coal-based graphite purification process stored in the database, obtain the relationship comparison table between various impurity contents of the coal-based graphite raw material and the acid type, acid concentration, reaction temperature, reaction time, and stirring rate of acid leaching, screen out the acid concentration, reaction temperature, reaction duration, and stirring rate for reference in coal-based graphite purification by acid leaching, and make settings.

5. The operation data acquisition optimization analysis system based on the coal series graphite purification system according to claim 4, wherein: The specific working process of the acid leaching reaction control unit further includes: D1: Detect the acid consumption rate during acid leaching in coal-based graphite purification through an on-line pH meter, compare it with the expected acid consumption rate during the preset acid leaching process to obtain the acid consumption rate deviation during the acid leaching process; Detect the reaction exothermic temperature during acid leaching in coal-based graphite purification through a temperature sensor, compare it with the expected reaction exothermic temperature during the preset acid leaching process to obtain the reaction exothermic temperature deviation during the acid leaching process; D2: Compare the acid consumption rate deviation and the reaction exothermic temperature deviation during the acid leaching process with the preset allowable ranges of the acid consumption rate deviation and the reaction exothermic temperature deviation respectively. If both the acid consumption rate deviation and the reaction exothermic temperature deviation during the acid leaching process are within their allowable ranges, the process parameters of acid leaching do not need to be optimized; otherwise, the process parameters of acid leaching need to be optimized, and execute D3; D3: Obtain the sign and absolute value of the acid consumption rate deviation during the acid leaching process, and analyze the adjustment direction and adjustment amount of the acid concentration, reaction duration, and stirring rate of acid leaching; D4: Obtain the sign and absolute value of the reaction exothermic temperature deviation during the acid leaching process, and analyze the adjustment direction and adjustment amount of the reaction temperature of acid leaching; D5: Optimize the process parameters of acid leaching according to the adjustment direction and adjustment amount of the acid concentration, reaction temperature, reaction duration, and stirring rate of acid leaching.

6. The operation data acquisition and optimization analysis system based on the coal series graphite purification system according to claim 1, wherein: The specific working process of the alkali neutralization control unit includes: Detect the pH of the liquid after acid leaching through an on-line pH meter, extract the expert rule base of the coal-based graphite purification process stored in the database, obtain the relationship comparison table between the pH of the liquid after acid leaching and the alkali concentration and neutralization temperature of alkali neutralization, screen out the alkali concentration and neutralization temperature for alkali neutralization in coal-based graphite purification, and make settings.

7. An operation data acquisition and optimization analysis system for a coal-series graphite purification system according to claim 6, characterized in that: The specific working process of the alkali neutralization control unit further includes: E1: Detect the neutralization rate during alkali neutralization in coal-based graphite purification, compare it with the expected neutralization rate during the preset alkali neutralization process to obtain the neutralization rate deviation during the alkali neutralization process; E2: Compare the neutralization rate deviation in the alkali neutralization process with the allowable range of the preset neutralization rate deviation. If the neutralization rate deviation in the alkali neutralization process exceeds its allowable range, the process parameters of alkali neutralization need to be optimized, and E3 is executed; otherwise, the process parameters of alkali neutralization do not need to be optimized. E3: Obtain the sign and absolute value of the neutralization rate deviation in the alkali neutralization process, and analyze the adjustment direction and adjustment amount of the alkali concentration and neutralization temperature in alkali neutralization. Optimize the process parameters of alkali neutralization according to the adjustment direction and adjustment amount of the alkali concentration and neutralization temperature in alkali neutralization.

8. An operation data acquisition and optimization analysis system for a coal-series graphite purification system according to claim 1, characterized in that: The specific working process of the washing and dewatering adjustment unit includes: Obtain the ionic concentrations of various impurities after alkali neutralization, extract the expert rule base of the coal-based graphite purification process stored in the database, obtain the relationship comparison table between the ionic concentrations of various impurities after alkali neutralization and the washing water consumption, washing times, and centrifuge speed in washing and dewatering, screen out the washing water consumption, washing times, and centrifuge speed in washing and dewatering in coal-based graphite purification, and set them.

9. An operation data acquisition and optimization analysis system based on a coal-based graphite purification system according to claim 8, characterized in that: The specific working process of the washing and dewatering adjustment unit further includes: F1: Detect the conductivity of the washing liquid in washing and dewatering through an on-line conductivity meter, compare it with the expected conductivity of the washing liquid in preset washing and dewatering to obtain the conductivity deviation of the washing liquid in washing and dewatering, and compare it with the allowable range of the preset conductivity deviation of the washing liquid. If the conductivity deviation of the washing liquid exceeds its allowable range, the washing water consumption and washing times in washing and dewatering need to be optimized, and F2 is executed; otherwise, the washing water consumption and washing times in washing and dewatering do not need to be optimized. F2: Obtain the sign and absolute value of the conductivity deviation of the washing liquid in washing and dewatering, and analyze the adjustment direction and adjustment amount of the washing water consumption and washing times in washing and dewatering. F3: Detect the moisture content of the filter cake in washing and dewatering through a microwave moisture meter, compare it with the expected moisture content of the filter cake in preset washing and dewatering to obtain the moisture content deviation of the filter cake in washing and dewatering, and compare it with the allowable range of the preset moisture content deviation of the filter cake. If the moisture content deviation of the filter cake exceeds its allowable range, the centrifuge speed in washing and dewatering needs to be optimized, and F4 is executed; otherwise, the centrifuge speed in washing and dewatering does not need to be optimized. F4: Obtain the sign and absolute value of the moisture content deviation of the filter cake in washing and dewatering, and analyze the adjustment direction and adjustment amount of the centrifuge speed in washing and dewatering. F5: Optimize the process parameters of washing and dewatering according to the adjustment direction and adjustment amount of the washing water consumption, washing times, and centrifuge speed in washing and dewatering.

10. An operation data acquisition and optimization analysis system based on the coal-series graphite purification system according to claim 1, characterized in that: The specific working process of the drying process optimization unit is: G1: Obtain the product requirements of coal-based graphite to obtain the crystallinity of coal-based graphite, extract the expert rule base of the coal-based graphite purification process stored in the database, obtain the relationship comparison table between the crystallinity of coal-based graphite and the drying temperature and drying duration in drying, screen out the drying temperature and drying duration in drying in coal-based graphite purification, and set them. G2: Detect the residual moisture content after drying through an infrared humidity sensor, and compare it with the expected residual moisture content in preset late-stage drying to obtain the residual moisture content deviation after drying. Compare the deviation of the residual moisture content after drying with the allowable range of the preset residual moisture content deviation. If the deviation of the residual moisture content after drying exceeds its allowable range, the process parameters of drying need to be optimized and G3 is executed. Otherwise, the process parameters of drying do not need to be optimized; G3: Substitute the deviation of the residual moisture content after drying into the relationship between the preset residual moisture content deviation and the correction amounts of the drying temperature and drying duration of drying to obtain the correction amounts of the drying temperature and drying duration of drying, and then optimize the process parameters of drying.

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