A system for acquiring, optimizing, and analyzing operational data from a coal-based graphite purification system.

Abstract

This invention relates to the field of monitoring and management of coal-based graphite purification, specifically disclosing a data acquisition, optimization, and analysis system for coal-based graphite purification. This invention achieves adaptive optimization of key process parameters in each stage of coal-based graphite purification, better ensuring production efficiency and product quality. This is achieved by initially setting process parameters for raw material pretreatment and optimizing them based on the particle size distribution after pretreatment; initially setting process parameters for acid leaching and optimizing them based on the acid consumption rate and exothermic reaction temperature; initially setting process parameters for alkali neutralization and optimizing them based on the neutralization rate; initially setting process parameters for washing and dehydration and optimizing them based on the conductivity of the washing liquid and the moisture content of the filter cake; and initially setting process parameters for drying and optimizing them based on the residual moisture content after drying.

Description

Technical Field

[0001] This invention relates to the field of coal-based graphite purification monitoring and management, and specifically to a system for optimizing and analyzing operational data from a coal-based graphite purification system. Background Technology

[0002] Coal-based graphite is a natural graphite resource formed from carbon-rich coal through graphitization under high-temperature geological processes. It is characterized by high carbon content and an ordered crystal structure, making it an important raw material for new energy, high-end materials, and other fields. However, natural coal-based graphite generally contains impurities such as ash, sulfides, and volatile matter. Insufficient purity directly affects its electrical conductivity, thermal conductivity, mechanical strength, and chemical stability. Therefore, it is necessary to perform deep purification through processes such as high-temperature calcination, acid leaching, and flotation separation to increase the carbon content and meet the demands of high-end applications such as lithium-ion battery anode materials, nuclear reactor moderators, and aerospace sealing components.

[0003] The purity of coal-based graphite exhibits a strong positive correlation with its properties. Inadequate purification processes or improper control can lead to product performance degradation, increased processing costs, environmental pollution risks, and accelerated equipment wear. Therefore, collecting and optimizing operational data for coal-based graphite purification and improving the quality of the purification process are of practical significance.

[0004] Existing methods for the operation management and analysis of coal-based graphite purification focus on optimizing the storage layout of raw graphite ore and judging the overall process compliance. These fall under the category of material management and quality monitoring at the production front end. For example, Chinese patent CN117669999B discloses an intelligent management system for graphite purification production. This system includes a collection module for collecting graphite ore information from multiple 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 allows for the sequential storage of graphite ore of the same type according to its quantity, enabling a reasonable storage layout and facilitating more efficient transportation operations during purification and processing. The invention judges whether pure graphite is qualified based on the graphite ore requirement information and provides a prompt when pure graphite is unqualified. This unqualified information includes information on the unqualified components and the corresponding purification steps.

[0005] However, existing methods do not address the refined process control during production, 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. Consequently, they cannot better guarantee the production efficiency and product quality of coal-based graphite purification. Summary of the Invention

[0006] To address the aforementioned issues, this invention proposes a data acquisition, optimization, and analysis system based on a coal-based graphite purification system, enabling monitoring and management of coal-based graphite purification processes.

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

[0008] Acid leaching reaction control unit: It is used to initially set the acid concentration, reaction temperature, reaction time, and stirring rate in the acid leaching process of coal-based graphite purification based on the characteristic information of the coal-based graphite raw material, and to optimize the acid leaching process parameters based on the acid consumption rate and reaction exothermic temperature of the acid leaching process.

[0009] Alkali neutralization control unit: used to obtain the pH of the liquid after acid leaching, initially set the alkali concentration and neutralization temperature for alkali neutralization in coal-based graphite purification, and optimize the alkali neutralization process parameters based on the neutralization rate of the alkali neutralization process.

[0010] Washing and dehydration adjustment unit: used to obtain the ion concentration of various impurities after alkali neutralization, initially set the washing water volume, washing times and centrifuge speed in coal-based graphite purification, and optimize the washing and dehydration process parameters based on the conductivity of the washing liquid and the moisture content of the filter cake.

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

[0012] Database: Used to store expert rule bases for coal-based graphite purification processes and limitation information for raw material pretreatment equipment.

[0013] Compared with existing technologies, the operational data acquisition, optimization, and analysis system based on a coal-based graphite purification system described in this invention has the following beneficial effects: 1. This invention preliminarily sets the key process parameters of each process step in coal-based graphite purification based on the expert rule base of the coal-based graphite purification process, and dynamically adjusts the key process parameters of each process step according to the actual operating conditions of each process step, forming a closed-loop control of the coal-based graphite purification process parameters, which can realize the optimization of coal-based graphite purification process parameters.

[0014] 2. This invention collects data on the operational status of each process step in the purification of coal-based graphite and establishes a dynamic model of the key process parameters and operational status information of each process step in the purification of coal-based graphite. This enables adaptive optimization of the key process parameters of each process step in the purification of coal-based graphite, thereby better ensuring the production efficiency and product quality of the purification of coal-based graphite. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

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

[0017] Figure 2 This is a flow chart of the production process for purifying coal-based graphite according to the present invention.

[0018] Figure 3 This is a logic flowchart for optimizing the process parameters of coal-based graphite purification in this invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Please see Figure 1 , Figure 2 , Figure 3 As shown, the present invention provides an operational data acquisition, optimization and 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 control unit, a washing and dehydration adjustment unit, a drying process optimization unit, and a database.

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

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

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

[0024] Extract the limitation information of raw material pretreatment equipment stored in the database to obtain the maximum crushing force of the crushing equipment and the upper limit of the temperature resistance of the drying equipment.

[0025] The estimated crushing force of raw material pretreatment is compared with the maximum crushing force limited by the crushing equipment capacity to analyze the reference crushing force of raw material pretreatment.

[0026] As a preferred approach, the reference crushing force of raw material pretreatment is analyzed. Specifically, if the estimated crushing force of raw material pretreatment is less than or equal to the maximum crushing force limited by the crushing equipment, then the estimated crushing force of raw material pretreatment is recorded as the reference crushing force of raw material pretreatment; otherwise, the maximum crushing force limited by the crushing equipment is recorded as the reference crushing force of raw material pretreatment.

[0027] The estimated pretreatment temperature of raw materials is compared with the upper temperature limit of the drying equipment to analyze the reference pretreatment temperature for raw materials.

[0028] As a preferred approach, the reference pretreatment temperature for raw material pretreatment is analyzed. Specifically, if the estimated pretreatment temperature for raw material pretreatment is less than or equal to the upper temperature limit of the drying equipment, then the estimated pretreatment temperature for raw material pretreatment is recorded as the reference pretreatment temperature for raw material pretreatment; otherwise, the upper temperature limit of the drying equipment is recorded as the reference pretreatment temperature for raw material pretreatment.

[0029] Based on the reference crushing force and reference pretreatment temperature for raw material pretreatment, the crushing force and pretreatment temperature for raw material pretreatment in coal-based graphite purification are initially set.

[0030] It should be noted that the coal-based graphite purification method in this invention employs a combined acid-base method, also known as the acid-base method. This method effectively removes impurities and increases carbon content through chemical treatment. Its principle is to use acid to dissolve metal oxides and alkali to remove impurities such as silicates, purifying graphite through a multi-step reaction. This method is characterized by low cost, mature technology, and suitability for large-scale production.

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

[0032] As a preferred option, the coal-based graphite raw materials contain various impurities, including but not limited to silicon dioxide, aluminum oxide, iron oxide, calcium oxide, and magnesium oxide.

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

[0034] Furthermore, the specific working process of the raw material pretreatment optimization unit also includes: S1: Detecting the particle size distribution of the raw material after pretreatment using an online particle size analyzer, plotting the particle size distribution curve, obtaining the mode of the particle size after pretreatment, recording it as the actual particle size of the raw material pretreatment, comparing the actual particle size of the raw material pretreatment with the preset expected particle size of the raw material pretreatment, obtaining the particle size deviation of the raw material pretreatment, comparing it with the preset allowable range of particle size deviation, if the particle size deviation of the raw material pretreatment exceeds its allowable range, then the crushing force of the raw material pretreatment needs to be optimized, and S2 is executed; otherwise, no optimization is required.

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

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

[0037] The crushing force of the raw material pretreatment is optimized based on the adjustment direction and amount of the crushing force adjustment.

[0038] As a preferred approach, the particle size distribution curve is plotted with particle size on the x-axis and cumulative particle size distribution percentage on the y-axis.

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

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

[0041] As a preferred option, the particle size deviation of the raw material pretreatment is sign-sensitive, meaning that the particle size deviation of the raw material pretreatment can be positive, negative, or zero.

[0042] It should be noted that if the crushing force of the raw material pretreatment has already reached the maximum crushing force limited by the crushing equipment, no adjustment will be made.

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

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

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

[0046] Furthermore, the specific working process of the acid leaching reaction control unit includes: extracting the expert rule base of coal-based graphite purification process stored in the database, obtaining the relationship table between the content of various impurities in coal-based graphite raw materials and the acid type, acid concentration, reaction temperature, reaction time, and stirring rate of acid leaching, screening out the acid concentration, reaction temperature, reaction time, and stirring rate for reference in the purification of coal-based graphite, and setting them.

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

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

[0049] In another specific embodiment, the acid concentration for acid leaching is further restricted based on the principles of economy and environmental protection. For example, high-concentration acid can shorten the time but increase the cost, and the acid concentration must meet the waste liquid treatment standards.

[0050] Furthermore, the specific working process of the acid leaching reaction control unit also includes: D1: detecting the acid consumption rate of the acid leaching process in the purification of coal-based graphite using an online pH meter, comparing it with the preset expected acid consumption rate of the acid leaching process, and obtaining the acid consumption rate deviation of the acid leaching process.

[0051] The reaction exothermic temperature of the acid leaching process in the purification of coal-based graphite is detected by a temperature sensor and compared with the preset expected reaction exothermic temperature of the acid leaching process to obtain the deviation of the reaction exothermic temperature of the acid leaching process.

[0052] D2: Compare the acid consumption rate deviation and reaction exothermic temperature deviation of the acid leaching process with the preset allowable ranges for acid consumption rate deviation and reaction exothermic temperature deviation, respectively. If both the acid consumption rate deviation and reaction exothermic temperature deviation of the acid leaching process are within their allowable ranges, then the acid leaching process parameters do not need to be optimized. Otherwise, the acid leaching process parameters 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 direction and amount of adjustment of acid concentration, reaction time, and stirring rate during acid leaching.

[0054] As a preferred approach, the direction and amount of adjustment of acid concentration, reaction time, and stirring rate in acid leaching are analyzed. Specifically, the sign of the deviation of acid consumption rate in the acid leaching process is obtained. If it is a positive sign, the direction of adjustment of acid concentration, reaction time, and stirring rate in acid leaching is to decrease. If it is a negative sign, the direction of adjustment of acid concentration, reaction time, and stirring rate in acid leaching is to increase.

[0055] Obtain the absolute value of the acid consumption rate deviation in the pickling process and record it as the acid consumption rate deviation amount. Substitute the acid consumption rate deviation amount into the preset relationship between the acid consumption rate deviation amount and the adjustment amount of acid concentration, reaction time and stirring rate in the pickling process to obtain the adjustment amount of acid concentration, reaction time and stirring rate in the pickling process.

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

[0057] As a preferred approach, the direction and amount of adjustment of the acid leaching reaction temperature are analyzed. Specifically, the sign of the exothermic temperature deviation during the acid leaching process is obtained. If the sign is positive, the direction of adjustment of the acid leaching reaction temperature is to decrease; if the sign is negative, the direction of adjustment of the acid leaching reaction temperature is to increase.

[0058] Obtain the absolute value of the reaction exothermic temperature deviation in the acid leaching process and record it as the reaction exothermic temperature deviation amount. Substitute the reaction exothermic temperature deviation amount into the preset relationship between the reaction exothermic temperature deviation amount and the adjustment amount of the acid leaching reaction temperature to obtain the adjustment amount of the acid leaching reaction temperature.

[0059] D5: Optimize the acid leaching process parameters based on the acid concentration, reaction temperature, reaction time, and the direction and amount of stirring rate adjustment.

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

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

[0062] As a preferred embodiment, the acid consumption rate deviation in 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 in 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 option, the deviations in acid consumption rate and reaction exothermic temperature during the acid leaching process are sign-dependent and can be positive, negative, or zero.

[0064] As a preferred approach, the relationship between the deviation in acid consumption rate and the adjustment amounts of acid concentration, reaction time, and stirring rate during acid leaching is derived from historical production experience.

[0065] As a preferred approach, the relationship between the deviation of the exothermic reaction temperature and the adjustment of the acid leaching reaction temperature is derived from historical production experience.

[0066] In one specific embodiment, the acid concentration of the acid leaching is adjusted by dynamically replenishing the acid solution.

[0067] In one specific embodiment, the acid leaching reaction temperature is adjusted by regulating the temperature of the reactor jacket.

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

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

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

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

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

[0073] As a preferred approach, the direction and amount of adjustment of the alkali concentration and neutralization temperature in alkali neutralization are analyzed. Specifically, the sign of the deviation of the neutralization rate in the alkali neutralization process is obtained. If it is a positive sign, the direction of adjustment of the alkali concentration and neutralization temperature in alkali neutralization is to decrease. If it is a negative sign, the direction of adjustment of the alkali concentration and neutralization temperature in alkali neutralization is to increase.

[0074] Obtain the absolute value of the neutralization rate deviation in the alkali neutralization process and record it as the neutralization rate deviation amount. Substitute the neutralization rate deviation amount into the preset relationship between the neutralization rate deviation amount and the adjustment amount of the alkali concentration and neutralization temperature in alkali neutralization to obtain the adjustment amount of the alkali concentration and neutralization temperature in alkali neutralization.

[0075] The process parameters for alkali neutralization are optimized based on the direction and amount of adjustment of the alkali concentration and neutralization temperature.

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

[0077] As a preferred approach, 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 option, the neutralization rate deviation in the alkali neutralization process is sign-dependent and can be positive, negative, or zero.

[0079] As a preferred approach, the relationship between the neutralization rate deviation and the adjustment of the alkali concentration and neutralization temperature during alkali neutralization is derived from historical production experience.

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

[0081] Furthermore, the specific working process of the washing and dehydration adjustment unit includes: obtaining the ion concentration of various impurities after alkali neutralization, extracting the expert rule base of coal-based graphite purification process stored in the database, obtaining the relationship table between the ion concentration of various impurities after alkali neutralization and the washing water volume, washing times and centrifuge speed of washing and dehydration, screening to obtain the washing water volume, washing times and centrifuge speed of washing and dehydration in coal-based graphite purification, and setting them.

[0082] Furthermore, the specific working process of the washing and dehydration adjustment unit also includes: F1: Detecting the conductivity of the washing liquid during washing and dehydration using an online conductivity meter, comparing it with the preset expected conductivity of the washing liquid during washing and dehydration, obtaining the deviation of the washing liquid conductivity during washing and dehydration, and comparing it with the preset allowable range of the washing liquid conductivity deviation. If the washing liquid conductivity deviation exceeds its allowable range, the amount of washing water used and the number of washing cycles during washing and dehydration need to be optimized, and F2 is executed; otherwise, the amount of washing water used and the number of washing cycles during washing and dehydration do not need to be optimized.

[0083] F2: Obtain the sign and absolute value of the conductivity deviation of the washing liquid during washing and dehydration, and analyze the adjustment direction and amount of the washing water usage and washing cycles during washing and dehydration.

[0084] As a preferred approach, the direction and amount of adjustment for the amount of washing water used and the number of washes in the washing and dehydration process are analyzed. Specifically, the sign of the conductivity deviation of the washing liquid in the washing and dehydration process is obtained. If it is a positive sign, the direction of adjustment for the amount of washing water used and the number of washes in the washing and dehydration process is to decrease. If it is a negative sign, the direction of adjustment for the amount of washing water used and the number of washes in the washing and dehydration process is to increase.

[0085] Obtain the absolute value of the conductivity deviation of the washing liquid during washing and dehydration, and record it as the conductivity deviation of the washing liquid during washing and dehydration. Substitute the conductivity deviation of the washing liquid into the preset relationship between the conductivity deviation of the washing liquid and the adjustment amount of the washing water usage and the number of washing cycles during washing and dehydration, and obtain the adjustment amount of the washing water usage and the number of washing cycles during washing and dehydration.

[0086] F3: Detect the moisture content of the washed and dehydrated filter cake using a microwave moisture meter, compare it with the preset expected moisture content of the washed and dehydrated filter cake, obtain the deviation of the moisture content of the washed and dehydrated filter cake, and compare it with the preset allowable range of the moisture content deviation of the filter cake. If the moisture content deviation of the filter cake exceeds its allowable range, the centrifuge speed of the washed and dehydrated filter cake needs to be optimized, and F4 is executed; otherwise, the centrifuge speed of the washed and dehydrated filter cake does not need to be optimized.

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

[0088] As a preferred approach, the direction and amount of adjustment of the centrifuge speed during washing and dehydration are analyzed. Specifically, the sign of the moisture content deviation of the filter cake during washing and dehydration is obtained. If it is a positive sign, the direction of adjustment of the centrifuge speed during washing and dehydration is to increase; if it is a negative sign, the direction of adjustment of the centrifuge speed during washing and dehydration is to decrease.

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

[0090] F5: Optimize the washing and dehydration process parameters based on the amount of washing water used, the number of washing cycles, and the direction and amount of centrifuge speed adjustment.

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

[0092] As a preferred embodiment, the washing liquid conductivity deviation during washing and dehydration refers to the difference between the actual washing liquid conductivity and the desired washing liquid conductivity. The filter cake moisture content deviation during washing and dehydration refers to the difference between the actual filter cake moisture content and the desired filter cake moisture content.

[0093] As a preferred option, the deviation of the washing liquid conductivity and the deviation of the filter cake moisture content in the washing and dehydration process are sign-coded and can be positive, negative, or zero.

[0094] As a preferred approach, the relationship between the deviation of the washing liquid conductivity and the adjustment of the amount of washing water used and the number of washing cycles during washing and dehydration is derived from historical production experience.

[0095] As a preferred approach, the relationship between the filter cake moisture content deviation and the centrifuge speed during washing and dewatering is derived from 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 time in the purification of coal-based graphite, and optimize the drying process parameters based on the residual moisture content after drying.

[0097] Furthermore, 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 coal-based graphite purification process stored in the database, obtain the relationship table between the crystallinity of coal-based graphite and the drying temperature and drying time, screen out the drying temperature and drying time in the purification of coal-based graphite, and set them.

[0098] G2: The residual moisture content after drying is detected by an infrared humidity sensor and compared with the preset expected residual moisture content after drying to obtain the deviation of the residual moisture content after drying.

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

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

[0101] As a preferred option, the product requirements for coal-based graphite can be entered manually.

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

[0103] As a preferred embodiment, the deviation of residual moisture content after drying is the difference between the residual moisture content after drying and the desired residual moisture content. The deviation of residual moisture content after drying is sign-sensitive and can be positive, negative, or zero.

[0104] As a preferred option, the correction values ​​for drying temperature and drying time are sign-coded and can be positive, negative, or zero.

[0105] As a preferred approach, the relationship between the residual moisture content deviation and the correction amount for drying temperature and drying time is derived from historical production experience.

[0106] The database is used to store expert rule bases for coal-based graphite purification processes and limitation information for raw material pretreatment equipment.

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

[0108] It should be noted that this invention collects data on the operational status of each process step in the purification of coal-based graphite and establishes a dynamic model of the key process parameters and operational status information of each process step in the purification of coal-based graphite. This enables adaptive optimization of the key process parameters of each process step in the purification of coal-based graphite, thereby better ensuring the production efficiency and product quality of the purification of coal-based graphite.

[0109] The above content is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, and all such modifications and additions should fall within the protection scope of the present invention.

Claims

1. A system for acquiring, optimizing, and analyzing operational data from a coal-based graphite purification system, characterized in that, include: Raw material pretreatment optimization unit: acquires characteristic information of coal-based graphite raw materials and limitation information of raw material pretreatment equipment, sets crushing force and pretreatment temperature in the purification of coal-based graphite, and optimizes pretreatment process parameters based on particle size distribution after raw material pretreatment; Acid leaching reaction control unit: Based on the characteristic information of coal-based graphite raw materials, the acid concentration, reaction temperature, reaction time and stirring rate of acid leaching in the purification of coal-based graphite are set, and the acid leaching process parameters are optimized based on the acid consumption rate and reaction exothermic temperature during acid leaching. Alkali neutralization control unit: acquires the pH of the liquid after acid leaching, sets the alkali concentration and neutralization temperature for alkali neutralization in coal-based graphite purification, and optimizes the alkali neutralization process parameters based on the neutralization rate of the alkali neutralization process. Washing and dehydration adjustment unit: obtains the ion concentration of various impurities after alkali neutralization, sets the washing water volume, washing times and centrifuge speed in the purification of coal-based graphite, and optimizes the washing and dehydration process parameters based on the conductivity of the washing liquid and the moisture content of the filter cake. Drying process optimization unit: Obtain the product requirements of coal-based graphite, set the drying temperature and drying time in the purification of coal-based graphite, and optimize the drying process parameters based on the residual moisture content after drying; Database: Stores expert rule base for coal-based graphite purification processes and limitation information for raw material pretreatment equipment.

2. The operational data acquisition, optimization, and analysis system based on a coal-based graphite purification system according to claim 1, characterized in that: The specific working process of the raw material pretreatment optimization unit includes: The characteristic information of coal-based graphite raw materials is obtained, including the original ash content and the content of various impurities. The expert rule base of coal-based graphite purification process stored in the database is extracted, and the relationship table between the original ash content, the content of various impurities of coal-based graphite raw materials and the crushing force and pretreatment temperature of raw material pretreatment is obtained. The estimated crushing force and pretreatment temperature of raw material pretreatment in coal-based graphite purification are obtained by screening. Extract the limitation information of raw material pretreatment equipment stored in the database to obtain the maximum crushing force of the crushing equipment and the upper limit of the temperature resistance of the drying equipment; The estimated crushing force of raw material pretreatment is compared with the maximum crushing force limited by the crushing equipment capacity to analyze the reference crushing force of raw material pretreatment. The estimated pretreatment temperature of raw materials is compared with the upper temperature limit of the drying equipment to analyze the reference pretreatment temperature of raw materials. Based on the reference crushing force and reference pretreatment temperature for raw material pretreatment, the crushing force and pretreatment temperature for raw material pretreatment in coal-based graphite purification are initially set.

3. The operational data acquisition, optimization, and analysis system based on a coal-series 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 of the pretreated raw material using an online particle size analyzer, plot the particle size distribution curve, obtain the mode of the pretreated particle size, and record it as the actual particle size of the pretreated raw material. Compare the actual particle size of the pretreated raw material with the preset expected particle size of the pretreated raw material to obtain the particle size deviation of the pretreated raw material. Compare it with the preset allowable particle size deviation range. If the particle size deviation of the pretreated raw material exceeds its allowable range, the crushing force of the pretreated raw material needs to be optimized, and S2 is executed. Otherwise, no optimization is required. S2: Obtain the sign of the particle size deviation of the raw material pretreatment. If it is a positive sign, the direction of adjusting the crushing force of the raw material pretreatment is to increase; if it is a negative sign, the direction of adjusting the crushing force of the raw material pretreatment is to decrease. Obtain the absolute value of the particle size deviation of the raw material pretreatment and record it as the particle size deviation amount of the raw material pretreatment. Substitute the particle size deviation amount of the raw material pretreatment into the preset relationship between the particle size deviation amount and the crushing force adjustment amount to obtain the adjustment amount of the crushing force of the raw material pretreatment. The crushing force of the raw material pretreatment is optimized based on the adjustment direction and amount of the crushing force.

4. The operational data acquisition, optimization, and analysis system based on a coal-series graphite purification system according to claim 2, characterized in that: The specific working process of the acid leaching reaction control unit includes: Extract the expert rule base of coal-based graphite purification process stored in the database, obtain the relationship table between the content of various impurities in coal-based graphite raw materials and the acid type, acid concentration, reaction temperature, reaction time and stirring rate of acid leaching, screen out the acid concentration, reaction temperature, reaction time and stirring rate reference in coal-based graphite purification, and set them.

5. The operational data acquisition, optimization, and analysis system based on a coal-series graphite purification system according to claim 4, characterized in that: The specific working process of the acid leaching reaction control unit also includes: D1: The acid consumption rate during the acid leaching process in the purification of coal-based graphite is detected by an online pH meter, and compared with the preset expected acid consumption rate of the acid leaching process to obtain the acid consumption rate deviation of the acid leaching process. The reaction exothermic temperature of the acid leaching process in the purification of coal-based graphite is detected by a temperature sensor and compared with the preset expected reaction exothermic temperature of the acid leaching process to obtain the reaction exothermic temperature deviation of the acid leaching process. D2: Compare the acid consumption rate deviation and reaction exothermic temperature deviation of the acid leaching process with the preset allowable ranges for acid consumption rate deviation and reaction exothermic temperature deviation, respectively. If both the acid consumption rate deviation and reaction exothermic temperature deviation of the acid leaching process are within their allowable ranges, then the acid leaching process parameters do not need to be optimized. Otherwise, the acid leaching process parameters need to be optimized, and D3 is executed. D3: Obtain the sign and absolute value of the acid consumption rate deviation during the acid leaching process, and analyze the direction and amount of adjustment of acid concentration, reaction time, and stirring rate during acid leaching. D4: Obtain the sign and absolute value of the reaction exothermic temperature deviation in the acid leaching process, and analyze the direction and amount of adjustment of the reaction temperature in the acid leaching process; D5: Optimize the acid leaching process parameters based on the acid concentration, reaction temperature, reaction time, and the direction and amount of stirring rate adjustment.

6. The operational data acquisition, optimization, and analysis system based on a coal-series graphite purification system according to claim 1, characterized in that: The specific working process of the alkali neutralization control unit includes: The pH of the liquid after acid leaching was measured by an online pH meter. The expert rule library of coal-based graphite purification process stored in the database was extracted to obtain a comparison table of the relationship between the pH of the liquid after acid leaching and the concentration and temperature of the alkali solution for alkali neutralization. The concentration and temperature of the alkali solution for alkali neutralization in the purification of coal-based graphite were screened and set.

7. The operational data acquisition, optimization, and analysis system based on a coal-series graphite purification system according to claim 6, characterized in that: The specific working process of the alkali neutralization control unit also includes: E1: Detect the neutralization rate of the alkali neutralization process in the purification of coal-based graphite, compare it with the preset expected neutralization rate of the alkali neutralization process, and obtain the neutralization rate deviation of the alkali neutralization process; E2: Compare the neutralization rate deviation of the alkali neutralization process with the preset allowable range of 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 should be 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 direction and amount of adjustment of the alkali concentration and neutralization temperature in alkali neutralization. The process parameters for alkali neutralization are optimized based on the direction and amount of adjustment of the alkali concentration and neutralization temperature.

8. The operational data acquisition, optimization, and analysis system based on a coal-series graphite purification system according to claim 1, characterized in that: The specific working process of the washing and dehydration regulating unit includes: The ion concentrations of various impurities after alkali neutralization were obtained. The expert rule base for coal-based graphite purification process stored in the database was extracted. A comparison table of the relationship between the ion concentrations of various impurities after alkali neutralization and the amount of washing water, the number of washing cycles, and the centrifuge speed during washing and dehydration was obtained. The amount of washing water, the number of washing cycles, and the centrifuge speed during washing and dehydration in coal-based graphite purification were screened and set.

9. The operational data acquisition, optimization, and analysis system based on a coal-series graphite purification system according to claim 8, characterized in that: The specific working process of the washing and dehydration regulating unit also includes: F1: The conductivity of the washing liquid during washing and dehydration is detected by an online conductivity meter and compared with the preset expected conductivity of the washing liquid during washing and dehydration. The deviation of the washing liquid conductivity during washing and dehydration is obtained and compared with the preset allowable range of washing liquid conductivity deviation. If the washing liquid conductivity deviation exceeds the allowable range, the amount of washing water used and the number of washing cycles during washing and dehydration need to be optimized, and F2 is executed. Otherwise, the amount of washing water used and the number of washing cycles during washing and dehydration do not need to be optimized. F2: Obtain the sign and absolute value of the conductivity deviation of the washing liquid during washing and dehydration, and analyze the adjustment direction and amount of the washing water usage and washing times during washing and dehydration. F3: Detect the moisture content of the washed and dehydrated filter cake using a microwave moisture meter, compare it with the preset expected moisture content of the washed and dehydrated filter cake, obtain the deviation of the moisture content of the washed and dehydrated filter cake, and compare it with the preset allowable range of the moisture content deviation of the filter cake. If the moisture content deviation of the filter cake exceeds its allowable range, the centrifuge speed of the washed and dehydrated filter cake needs to be optimized, and F4 is executed; otherwise, the centrifuge speed of the washed and dehydrated filter cake does not need to be optimized. F4: Obtain the sign and absolute value of the moisture content deviation of the filter cake after washing and dewatering, and analyze the adjustment direction and amount of the centrifuge speed during washing and dewatering; F5: Optimize the washing and dehydration process parameters based on the amount of washing water used, the number of washing cycles, and the direction and amount of centrifuge speed adjustment.

10. The operational data acquisition, optimization, and analysis system based on a coal-series graphite purification system according to claim 1, characterized in that: The specific working process of the drying process optimization unit is as follows: G1: Obtain the product requirements for coal-based graphite, obtain the crystallinity of coal-based graphite, extract the expert rule base for coal-based graphite purification process stored in the database, obtain the relationship table between the crystallinity of coal-based graphite and the drying temperature and drying time, filter out the drying temperature and drying time in the purification of coal-based graphite, and set them. G2: The residual moisture content after drying is detected by an infrared humidity sensor and compared with the preset expected residual moisture content after drying to obtain the deviation of the residual moisture content after drying. The deviation of the residual moisture content after drying is compared with the preset allowable range of residual moisture content deviation. If the deviation of the residual moisture content after drying exceeds the allowable range, the drying process parameters need to be optimized and G3 is executed. Otherwise, the drying process parameters do not need to be optimized. G3: Substitute the deviation of residual moisture content after drying into the preset relationship between the deviation of residual moisture content and the correction amount of drying temperature and drying time to obtain the correction amount of drying temperature and drying time, and then optimize the drying process parameters.

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