CN113289759B - Method and device for regulating and controlling particle size distribution of micro powder in dry grinding system - Google Patents
Method and device for regulating and controlling particle size distribution of micro powder in dry grinding system Download PDFInfo
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- CN113289759B CN113289759B CN202110610256.4A CN202110610256A CN113289759B CN 113289759 B CN113289759 B CN 113289759B CN 202110610256 A CN202110610256 A CN 202110610256A CN 113289759 B CN113289759 B CN 113289759B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C25/00—Control arrangements specially adapted for crushing or disintegrating
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C15/00—Disintegrating by milling members in the form of rollers or balls co-operating with rings or discs
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C23/00—Auxiliary methods or auxiliary devices or accessories specially adapted for crushing or disintegrating not provided for in preceding groups or not specially adapted to apparatus covered by a single preceding group
- B02C23/18—Adding fluid, other than for crushing or disintegrating by fluid energy
- B02C23/24—Passing gas through crushing or disintegrating zone
- B02C23/30—Passing gas through crushing or disintegrating zone the applied gas acting to effect material separation
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C15/00—Disintegrating by milling members in the form of rollers or balls co-operating with rings or discs
- B02C2015/002—Disintegrating by milling members in the form of rollers or balls co-operating with rings or discs combined with a classifier
Abstract
The invention relates to the field of dry grinding, in particular to a method and a device for regulating and controlling the particle size distribution of micro powder in a dry grinding system. The method comprises the following steps: acquiring first distribution state data of the granularity of the micro powder of the dry grinding system on line; according to second distribution state data which is obtained in an off-line mode and is based on the micro powder granularity of the dry grinding system, correcting the first distribution state data to obtain final distribution state data; generating a corresponding regulating parameter of the dry grinding system according to the final distribution state data and the parameter regulating model; and regulating and controlling the working state of the corresponding part of the dry grinding system based on the regulating and controlling parameters. The implementation mode provided by the invention can be applied to a vertical mill grinding system and a roller press grinding system, solves the difficulty of quality control by establishing an online automatic detection system for the granularity of the micro powder, and prevents energy waste caused by excessive grinding.
Description
Technical Field
The invention relates to the field of regulating and controlling the particle size distribution of dry-method grinding micro powder, in particular to a regulating and controlling method and a regulating and controlling device for the particle size distribution of the micro powder of a dry-method grinding system.
Background
The vertical mill and roller press grinding system is a common large-scale continuous dry grinding system, integrates the functions of grinding, drying and grading materials, and is mainly used for grinding production of limestone mixture, slag and steel slag.
The grinding system has large handling capacity, the ground materials are dried by hot air and are brought to a separation area, the materials are subjected to coarse-fine separation under the action of a separation device (a powder concentrator), the materials meeting the granularity requirement pass through and are collected, and the coarse-particle materials not meeting the granularity requirement are circulated to the grinding area for re-grinding. The particle distribution separated from the material is mainly subjected to a powder concentratorThe influence of the rotating speed and the wind speed, and the wind speed is adjusted and controlled by the rotating speed of the circulating fan. The particle size of the separated fine powder is mostly 20-65 μm, and the different particle sizes have a certain proportion, and the proportion is converted into specific surface area (the sum of the total surface area of all particles in every gram of substance, and the international unit is m)2And/g), the allowable value is in a smaller range, if the allowable value is lower than the lower limit, the grinding process is unqualified, and if the allowable value is higher than the upper limit, more work is done in the grinding process, and the energy consumption is wasted.
In the production process, manual sampling is carried out periodically, results are reported to a regulating and controlling person, if a measured value deviates, the regulating and controlling person regulates and controls equipment operation parameters to intervene, the interval time in the process is long, the regulating and controlling effect is lagged, a large number of non-target products are often generated, the finished product granularity change of the grinding system is detected through technical means, and the granularity distribution of the micro powder is regulated and controlled in real time, so that the disturbance to the quality is reduced, the stability of the grinding system is guaranteed, and the efficiency is improved.
Disclosure of Invention
The embodiment of the invention aims to provide a method and a device for regulating and controlling the particle size distribution of micro-powder of a dry grinding system, which aim to perform online detection on the particle size of a finished product of the dry grinding system and adjust the rotating speed of a powder selector and the current frequency of a circulating fan (the rotating speed is changed through frequency and the air quantity is further changed) of the grinding system in real time by combining a distributed control system, thereby realizing the purposes of improving the stability of the grinding system, improving the quality of the finished product, preventing over-grinding and achieving the technical effects of saving energy and reducing consumption.
In order to achieve the above object, a first aspect of the present invention provides a method for regulating and controlling a particle size distribution of a fine powder in a dry milling system, the method comprising: acquiring first distribution state data of the granularity of the micro powder of the dry grinding system on line; according to second distribution state data which is obtained in an off-line mode and is based on the particle size of the micro powder of the dry grinding system, correcting the first distribution state data to obtain final distribution state data; generating a corresponding regulating and controlling parameter of the dry grinding system according to the final distribution state data and a parameter regulating and controlling model, wherein the parameter regulating and controlling model comprises a linear factor and a nonlinear factor; and regulating and controlling the working state of the corresponding part of the dry grinding system based on the regulating and controlling parameters.
Preferably, the online obtaining of the first distribution state data of the micro powder particle size of the dry grinding system includes: acquiring a measured value of the micro powder granularity by a micro powder granularity online detector arranged at a monitoring point; and calculating the average value of the measured values of the plurality of sampling periods as first distribution state data in the sampling period time period.
Preferably, the step of correcting the first distribution state data according to a second distribution state data of the particle size of the micro powder obtained offline and based on the dry grinding system to obtain a final distribution state data includes: obtaining a sampling sample of the micro powder granularity of the dry grinding system; measuring the sampling sample by adopting a Boehringer's ventilation method to obtain the second distribution state data; correcting the first distribution state data corresponding to the sampling time by adopting the second distribution state data corresponding to the sampling time of the sampling sample; and the interpolation method is adopted to correct the first distribution state data between the adjacent sampling moments.
Preferably, the generating of the corresponding control parameters of the dry grinding system according to the final distribution state data and the parameter control model includes: determining a regulation and control object according to the relation between the final distribution state data and a preset micro powder granularity expected value, wherein the regulation and control object comprises a powder concentrator and a circulating fan; and calculating and determining the adjusting amplitude of the adjusting object according to the final distribution state data and the parameter adjusting model.
Preferably, determining a regulation object according to the relationship between the final distribution state data and a preset micro powder granularity expectation interval, comprises: judging the relation between the final distribution state data and a preset micro powder granularity expectation interval; if the final distribution state data is not in the expected interval of the micro powder granularity, selecting the powder concentrator as a regulation and control object; and if the final distribution state data is in the preset micro powder granularity expected interval and the boundary value between the final distribution state data and the micro powder granularity expected interval is smaller than a preset threshold value, selecting the circulating fan as a regulation object.
Preferably, the parameter regulation model is determined by:
the following mapping formula is used to build a mapping model for the control parameters,
P＝b0+b1n+b2f+b3n2+b4f2+b5nf+ε；
at sigma epsilon2Solving the problem under the minimum premise by the following method:
∑P＝nb0+b1∑n+b2∑f+b3∑n2+b4∑f2+b5∑nf
∑nP＝b0∑n+b1∑n2+b2∑n f+b3∑n3+b4∑n f2+b5∑n2f
∑fP＝b0∑f+b1∑nf+b2∑f2+b3∑n2f+b4∑nf3+b5∑n f2
calculating the coefficient b by substituting historical data samples into an equation0～b5Determining the weight of n and f; wherein, b0～b5And (3) taking the weight coefficient, wherein P is the granularity of the micro powder, n is the rotating speed of the powder concentrator, f is the current frequency of the circulating fan, and epsilon is a residual error, and the subsequent control capability is improved through nonlinear processing.
Preferably, the calculating the adjusting amplitude of the controlled object determined according to the final distribution state data and the parameter control model includes: determining the corresponding relation between the adjustment amplitude of the rotation speed of the powder concentrator and the current frequency of the circulating fan and the influence quantity of the micro powder granularity P according to the parameter regulation model; calculating the difference value of the final distribution state data and the median of the expected interval of the micro powder particle size; and obtaining the adjusting amplitude of the rotating speed of the powder concentrator and/or the adjusting amplitude of the current frequency of the circulating fan according to the difference and the corresponding relation.
Preferably, the control method further comprises the step of optimizing the parameter control model: sampling final distribution state data, the rotating speed of the powder concentrator and the current frequency of the circulating fan at a certain moment, and substituting the rotating speed of the powder concentrator and the current frequency of the circulating fan into the parameter regulation and control model to obtain predicted final distribution state data; if the difference value between the predicted final distribution state data and the final distribution state data exceeds a set threshold value; the parameters of the parameter modulation model are adjusted.
In a second aspect of the present invention, there is also provided a device for regulating and controlling the particle size distribution of the micropowder in a dry milling system, comprising a processor and a memory; the memory is to store program instructions; the processor is used for calling the program instruction stored in the memory to realize the method for regulating and controlling the particle size distribution of the micro powder of the dry grinding system.
Preferably, the regulating device is further provided with a pin for connecting one or more of the following devices:
the online micro powder granularity detector is used for detecting the granularity distribution of the finished product material separated by the dry grinding system in real time; the powder selecting machine controller is arranged on the dry grinding system and used for controlling the rotating speed of the powder selecting machine entering the dry grinding system and screening particles; and the circulating fan controller is arranged on the dry-method grinding system and is used for regulating and controlling the air speed and the air quantity of the circulating fan of the dry-method grinding system.
A third aspect of the present invention provides a machine-readable storage medium, which has instructions stored thereon, and when executed by a processor, causes the processor to be configured to execute the aforementioned method for regulating and controlling the particle size distribution of the micropowder of the dry grinding system.
The fourth aspect of the present invention provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the method for regulating and controlling the particle size distribution of the micropowder of the dry grinding system is implemented.
The implementation mode provided by the technical scheme realizes the perfection of an online detection data chain by establishing an online automatic detection system for the granularity of the micro powder; establishing an automatic control mechanism of the rotating speed of the powder concentrator and the circulating fan; the online detection and automatic regulation and control of the particle size distribution of the micro powder are constructed, the quality control is solved, and the energy waste caused by excessive grinding is prevented.
Additional features and advantages of embodiments of the present invention will be described in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
fig. 1 schematically shows a flow chart of steps of a method for regulating and controlling the particle size distribution of micropowder in a dry milling system according to an embodiment of the present invention;
fig. 2 schematically shows an implementation schematic diagram of a method for regulating and controlling the particle size distribution of micropowder in a dry milling system according to an embodiment of the present invention;
fig. 3 is a schematic diagram illustrating a connection relationship of a dry pulverizing system according to an embodiment of the present invention.
Detailed Description
The following describes in detail embodiments of the present invention with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
Fig. 1 schematically shows a flow chart of steps of a method for regulating and controlling the particle size distribution of micropowder in a dry grinding system according to an embodiment of the present invention, as shown in fig. 1. In this embodiment, a method for regulating and controlling a particle size distribution of a fine powder in a dry grinding system includes:
s01, acquiring first distribution state data of the micro powder granularity of the dry grinding system on line;
most of the existing dry grinding systems have automatic monitoring devices for the particle size of the micro powder, for example, an online particle size analyzer arranged on a grinding head is used for sampling the ground powder in real time, but a method for checking the correctness of a sampling result is lacked.
S02, correcting the first distribution state data according to second distribution state data of the micro powder granularity obtained in an off-line mode and based on the dry grinding system to obtain final distribution state data;
in the embodiment, on the basis of providing online monitoring, a safeguard measure for offline monitoring is introduced. Because the industry has become accustomed to manual detection methods and results, the automatic detection data is corrected based on the manual monitoring data, reducing the deviation of the automatic detection results from manual detection.
S03, generating corresponding regulating parameters of the dry grinding system according to the final distribution state data and a parameter regulating model, wherein the parameter regulating model comprises a linear factor and a nonlinear factor;
the accuracy and reliability of the regulation and control measures are how to establish a reliable and accurate regulation and control model. Selecting historical state data in a preset time period as a data sample, regulating and controlling a model fitting function based on the data sample structure parameters, regarding a given data set containing a large number of data samples, taking the data set as a training set, calculating regression coefficients in different states, and carrying out mean value processing on the regression coefficients to reduce deviation, and introducing a nonlinear factor for fitting nonlinear influence.
And S04, regulating and controlling the working state of the corresponding part of the dry grinding system based on the regulating and controlling parameters.
Training a corresponding regulation strategy database among the micro powder granularity, the rotation speed of the powder concentrator and the current frequency of the circulating fan according to historical data, and deciding a regulation object and a regulation step length according to deviation when the detected data deviates from target data.
Through the implementation mode, the online detection of the granularity of the finished product can be carried out on the dry-method grinding system, and the working state of the components in the grinding system is adjusted in real time by combining the distributed control system, so that the stability of the grinding system is improved, the quality of the finished product is improved, the over-grinding is prevented, and the technical effects of saving energy and reducing consumption are achieved.
In an embodiment of the present invention, the online obtaining of the first distribution state data of the particle size of the micro powder of the dry grinding system includes: and calculating the average value of the measured values of the plurality of sampling periods as first distribution state data in the sampling period time period. Data fluctuation is large due to complex working conditions of dry grinding, actual working conditions cannot be reflected by single data, the data needs to be calculated in a segmented mode, and a plurality of continuous sampling period data are processed to serve as characteristic values and sampling data. The sampling period is Δ T, which can be set in the system according to the sensitivity of the data, the sampling start time T, and the number of continuous samples is n, then the average value of the sampled data is obtained by the formula (1):
In one embodiment provided by the present invention, a sampling sample of the micro powder particle size of the dry grinding system is obtained; measuring the sampling sample by adopting a Boehringer's ventilation method to obtain the second distribution state data; correcting the first distribution state data corresponding to the sampling time by adopting the second distribution state data corresponding to the sampling time of the sampling sample; and the interpolation method is adopted to correct the first distribution state data between the adjacent sampling moments. The manual detection sampling point and the automatic monitoring sampling point are together, when the manual sampling is carried out, the time is recorded, after the detection result of a manual laboratory is obtained, the historical data corresponding to the automatic detection is searched, and the consistency of the manual detection and the automatic monitoring time sequence is kept. Let the manual detection granularity data be P', and record the automatic detection data P when sampling, so that Pi' and PiAnd one-to-one correspondence is carried out, and the corrected particle size data P ^ is as follows:
the sampling period is consistent, and the longer the sampling period is, the more accurate the delta P is, and once the sampling period is determined to be usable for a long time, the frequent manual sampling detection is not needed for correction.
In an embodiment provided by the present invention, generating a corresponding control parameter of the dry milling system according to the final distribution state data and the parameter control model includes: determining a regulation and control object according to the relation between the final distribution state data and a preset micro powder granularity expected value, wherein the regulation and control object comprises a powder concentrator and a circulating fan; and calculating and determining the adjusting amplitude of the adjusting object according to the final distribution state data and the parameter adjusting model. In the embodiment, historical state data in a preset time period is selected as a data sample, based on a data sample constitutive parameter regulation and control model fitting function, for a given data set containing a large number of data samples, the data set is used as a training set, regression coefficients in different states are calculated, and mean value processing is performed on the regression coefficients to reduce deviation. Training a corresponding regulation strategy database among the particle size of the micro powder, the rotating speed of the powder concentrator and the current frequency of the circulating fan according to historical data, and deciding a regulation object and a regulation step length according to deviation amount when the detected data deviates from target data.
In an embodiment provided by the present invention, determining a regulation and control object according to a relationship between the final distribution state data and a preset expected interval of the particle size of the fine powder, where the regulation and control object includes a powder concentrator and a circulating fan, and includes: judging the relation between the final distribution state data and a preset micro powder granularity expected interval; if the final distribution state data is not in the expected interval of the micro powder granularity, selecting the powder concentrator as a regulation and control object; and if the final distribution state data is in the preset micro powder granularity expectation interval and the boundary value between the final distribution state data and the micro powder granularity expectation interval is smaller than a preset threshold value, selecting the circulating fan as a regulation object. In the present embodiment, the lower limit of the expected particle size of the fine powder is P1Upper limit is P2If the detection value P ^ is not in P1And P2In the range, the detection value approaches to P through data analysis in the process of monitoring the actual state of the abnormal object1Or alternativelyP2And the numerical value limit is easily broken through, and the powder selecting machine and the rotating speed of the circulating fan of the grinding system are regulated and controlled in advance, and the method comprises the following steps: obtaining a difference value between a detection value in the analysis result and the expected value; and determining the adjustment of the grinding system according to the difference ratio. The method comprises the following specific steps: when P ^ P < P1When the rotation speed of the powder selecting machine is increased, when P ^ P is greater than P2When the powder concentrator is used, the rotating speed of the powder concentrator is reduced; and the value is compared with the mean value of the lower limit value and the upper limit value, P- ═ P1+P2) A/2 comparison; when P ^ is less than P1+(P--P1) A,/2, and is greater than P1When the fan is in use, the control system automatically reduces the rotating speed of the circulating fan; when P ^ is greater than P2-(P2-P-) A,/2, and less than P2In time, the control system should automatically increase the speed of the circulating fan.
In one embodiment of the present invention, the parameter regulation model is determined by: the following mapping formula is adopted to establish a mapping model for the regulation and control parameters:
P＝b0+b1n+b2f+b3n2+b4f2+b5nf+ε；
at sigma epsilon2Solving the following method on the premise of minimum:
∑P＝nb0+b1∑n+b2∑f+b3∑n2+b4∑f2+b5∑nf
∑nP＝b0∑n+b1∑n2+b2∑n f+b3∑n3+b4∑n f2+b5∑n2f
∑fP＝b0∑f+b1∑nf+b2∑f2+b3∑n2f+b4∑nf3+b5∑n f2
calculating coefficient b by substituting historical data samples into equation0～b5Determining the weight of n and f; wherein, b0～b5P is the particle size of the micro powder, n is the rotation speed of the powder concentrator, f is the current frequency of the circulating fan, and epsilon is the residuePoor, the subsequent control capability is improved by the non-linear processing. Wherein the linear factor of the parameter regulation model comprises b0、b1n and b2f, the non-linear factor includes b3n2、b4f2、b5nf, and ε. The parameter regulation and control model provided by the invention adopts a mode of combining the linear factor and the nonlinear factor, and can overcome the problem of poor fitting property caused by the existing single linear regression or quadratic regression. Meanwhile, due to the fact that unstable data fluctuation of the distributed state data is large, nonlinear influence needs to be considered to a certain extent, so that the follow-up control capability is improved, and the control strategy adaptability and the control effect are enhanced.
In an embodiment provided by the present invention, the calculating, according to the final distribution state data and the parameter regulation and control model, the determined regulation and control amplitude of the regulation and control object includes: determining the corresponding relation between the adjustment amplitude of the rotation speed of the powder concentrator and the current frequency of the circulating fan and the influence quantity of the micro powder granularity P according to the parameter regulation model; calculating the difference value of the final distribution state data and the median of the expected interval of the micro powder particle size; and obtaining the adjusting amplitude of the rotating speed of the powder concentrator and/or the adjusting amplitude of the current frequency of the circulating fan according to the difference and the corresponding relation. Regarding the regulation and control quantity of n and f, according to the relation model established in the previous embodiment, the influence quantity of the regulation amplitude of n and f on the particle size P of the micro-powder can be determined, the processed particle size detection data is compared with a target value, the regulation amplitude of the rotating speed of the powder concentrator and the current frequency of the circulating fan is automatically calculated according to the difference value, namely, a regulation and control strategy is planned, and the regulation and control system writes the target value into a centralized control system through OPC communication to regulate the target value.
In one embodiment provided by the present invention, the regulation method further comprises: optimizing the parameter regulation and control model: sampling final distribution state data, the rotating speed of the powder concentrator and the current frequency of the circulating fan at a certain moment, and substituting the rotating speed of the powder concentrator and the current frequency of the circulating fan into the parameter regulation and control model to obtain predicted final distribution state data; if the difference value between the predicted final distribution state data and the final distribution state data exceeds a set threshold value; the parameters of the parameter modulation model are adjusted. Namely: and comparing the sampling state data at a certain moment with the analysis result of the moment analyzed before, if the difference value between the sampling state data and the analysis result exceeds a set threshold value, adjusting the parameters of the parameter regulation and control model, analyzing and establishing a regulation and control strategy by adopting the parameter regulation and control model after parameter adjustment, and regulating and controlling the dry grinding system.
Fig. 2 schematically shows an implementation schematic diagram of a method for regulating and controlling the particle size distribution of micropowder in a dry grinding system according to an embodiment of the present invention, as shown in fig. 2. The steps of this embodiment include: the system comprises micro powder on-line detection data, manual detection data and a data processing module, wherein the data processing module processes the micro powder on-line detection data and the manual detection data to obtain a detection result. And (4) carrying out result identification on the detection result, and finishing the regulation and control period if the identification result is normal. And if the identification result is abnormal, generating a regulation and control strategy according to the regulation and control strategy module, and detecting after regulation and control after the regulation and control strategy is executed.
In an embodiment provided by the invention, the invention further provides a device for regulating and controlling the particle size distribution of the micro powder of the dry grinding system, which comprises a processor and a memory; the memory is to store program instructions; the processor is used for calling the program instruction stored in the memory to realize the method for regulating and controlling the particle size distribution of the micro powder of the dry grinding system. The memory is to store program instructions; the processor is used for calling the program instruction stored in the memory to realize the method for regulating and controlling the particle size distribution of the micro powder of the dry grinding system. The processor herein has functions of numerical calculation and logical operation, and it has at least a central processing unit CPU having data processing capability, a random access memory RAM, a read only memory ROM, various I/O ports, an interrupt system, and the like. The data processing module may be, for example, a single chip, a chip, or a processor, and the like, which are commonly used hardware, and in a more common case, the data processing module is a processor of an intelligent terminal or a PC. Here, the device may be an existing controller in an upper-level industrial personal computer or an automatic control device, and the realized function is a subfunction of the controller. The specific form is a section of software code in a hardware operating environment depending on the existing upper industrial personal computer or controller.
In an embodiment provided by the present invention, the regulation and control device is further provided with a pin for connecting one or more of the following devices: the online micro powder granularity detector is used for detecting the granularity distribution of the finished product material separated by the dry grinding system in real time; the powder selecting machine is arranged on the dry grinding system and used for controlling the rotating speed of the powder selecting machine entering the dry grinding system to perform particle screening; and the circulating fan is arranged on the circulating system of the dry grinding system and used for regulating and controlling the air quantity and the air speed of circulating air of the dry grinding system. Fig. 3 is a schematic diagram illustrating a connection relationship of a dry grinding system according to an embodiment of the present invention, and an apparatus structure and a control circuit of an actual dry grinding system are shown in fig. 3. This dry process grinding system includes: the feeding belt scale, the water spray valve, the grinding area, the main motor, the collector, the cold air valve, the hot air valve, the powder concentrator and the circulating fan are connected as shown in the figure 3. Wherein, the finished product after the particle classification enters a collector to be separated into finished product particles and tail gas. Fig. 3 also shows the outlet temperature, inlet temperature and pressure of the dry method, and the position of the sampling point of the micropowder on-line detection.
According to the method and the device for regulating and controlling the particle size distribution of the micro powder of the dry grinding system in the technical scheme of the embodiment of the invention, the automatic optimization regulation and control system is formed by adopting a linear regression algorithm and a model through the micro powder internal circulation screening relation formed by the micro powder on-line detection, the frequency conversion speed regulation of the powder concentrator and the frequency conversion speed regulation of the circulating fan, the circulating air supply quantity and the rotating speed of the powder concentrator can be timely regulated, the reasonable particle size distribution of the micro powder is ensured, and the quality requirement is met.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information and/or information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art to which the present application pertains. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (9)
1. A method for regulating and controlling the particle size distribution of micro powder in a dry grinding system is characterized by comprising the following steps:
acquiring first distribution state data of the granularity of the micro powder of the dry grinding system on line;
according to second distribution state data which is obtained in an off-line mode and is based on the micro powder granularity of the dry grinding system, correcting the first distribution state data to obtain final distribution state data;
generating a corresponding regulating and controlling parameter of the dry grinding system according to the final distribution state data and the parameter regulating and controlling model; the parameter regulation and control model comprises a linear factor and a nonlinear factor;
regulating and controlling the working state of a corresponding part of the dry grinding system based on the regulating and controlling parameters;
the parameter regulation and control model is determined in the following way:
the following mapping formula is adopted to establish a mapping model for the regulation and control parameters,
P＝b0+b1n+b2f+b3n2+b4f2+b5nf+ε；
at sigma epsilon2Solving the following method on the premise of minimum:
∑P＝nb0+b1∑n+b2∑f+b3∑n2+b4∑f2+b5∑nf
∑nP＝b0∑n+b1∑n2+b2∑nf+b3∑n3+b4∑nf2+b5∑n2f
∑fP＝b0∑f+b1∑nf+b2∑f2+b3∑n2f+b4∑nf3+b5∑nf2
calculating the coefficient b by substituting historical data samples into an equation0～b5Determining the weight of n and f; wherein, b0～b5Is weight coefficient, P is micropowder size, n is rotational speed of powder concentrator, f is current frequency of circulating fan, and epsilon is residual error.
2. The method for regulating and controlling the particle size distribution of the micropowder of the dry grinding system according to claim 1, wherein the online obtaining of the first distribution status data of the particle size of the micropowder of the dry grinding system comprises:
acquiring a measured value of the particle size of the micro powder by a micro powder particle size online detector arranged at a monitoring point;
and calculating the average value of the measurement values of a plurality of sampling periods as first distribution state data in the sampling period time period.
3. The method for regulating and controlling the particle size distribution of the micropowder of the dry grinding system according to claim 1, wherein the step of correcting the first distribution state data according to offline acquired second distribution state data based on the particle size of the micropowder of the dry grinding system to obtain final distribution state data comprises the steps of:
obtaining a sampling sample of the micro powder granularity of the dry grinding system;
measuring the sampling sample by adopting a Boehringer's ventilation method to obtain the second distribution state data;
correcting the first distribution state data corresponding to the sampling time by adopting the second distribution state data corresponding to the sampling time of the sampling sample;
and correcting the first distribution state data between the adjacent sampling moments by adopting an interpolation method.
4. The method for regulating and controlling the particle size distribution of the micropowder of the dry grinding system according to claim 1, wherein generating the corresponding regulating and controlling parameters of the dry grinding system according to the final distribution state data and the parameter regulating and controlling model comprises:
determining a regulation and control object according to the relation between the final distribution state data and a preset micro powder granularity expected value, wherein the regulation and control object comprises a powder concentrator and a circulating fan;
and calculating the adjusting amplitude of the determined adjusting object according to the final distribution state data and the parameter adjusting model.
5. The method for regulating and controlling the particle size distribution of the micropowder of the dry grinding system according to claim 4, wherein the step of determining a regulation object according to the relationship between the final distribution state data and a preset micropowder particle size expectation interval comprises the steps of:
judging the relation between the final distribution state data and a preset micro powder granularity expected interval;
if the final distribution state data is not in the expected range of the micro powder granularity, selecting the powder concentrator as a regulation object;
and if the final distribution state data is in the preset micro powder granularity expected interval, but the boundary value between the final distribution state data and the micro powder granularity expected interval is smaller than a preset threshold value, selecting the circulating fan as a regulation object.
6. The method for regulating and controlling the particle size distribution of the micropowder of the dry grinding system according to claim 5, wherein the step of calculating the adjustment range of the determined regulated object according to the final distribution state data and the parameter regulation and control model comprises the steps of:
determining the corresponding relation between the adjusting amplitude of the rotating speed of the powder concentrator and the current frequency of the circulating fan and the influence quantity of the particle size P of the micro powder according to the parameter regulating and controlling model;
calculating the difference between the final distribution state data and the median of the expected interval of the particle size of the micro powder;
and obtaining the adjusting amplitude of the rotating speed of the powder concentrator and/or the adjusting amplitude of the current frequency of the circulating fan according to the difference value and the corresponding relation.
7. The dry grinding system micropowder size distribution regulating method according to claim 5, further comprising the step of optimizing the parameter regulating model:
sampling final distribution state data, the rotating speed of the powder concentrator and the current frequency of a circulating fan at a certain moment;
substituting the rotating speed of the powder concentrator and the current frequency of the circulating fan into the parameter regulation and control model to obtain the predicted final distribution state data;
and if the difference value between the predicted final distribution state data and the final distribution state data exceeds a set threshold value, adjusting the parameters of the parameter regulation and control model.
8. A device for regulating and controlling the particle size distribution of micro powder in a dry grinding system is characterized by comprising a processor and a memory;
the memory is to store program instructions;
the processor is used for calling the program instructions stored in the memory to realize the method for regulating and controlling the micropowder size distribution of the dry grinding system according to any one of claims 1 to 7.
9. The micropowder grain size distribution regulating device of the dry grinding system according to claim 8, characterized in that the regulating device is further provided with pins for connecting one or more of the following devices:
the online micro powder granularity detector is used for detecting the granularity distribution of the finished product material separated by the dry grinding system in real time;
the powder selecting machine controller is arranged on the dry grinding system and used for controlling the rotating speed of the powder selecting machine entering the dry grinding system and screening particles;
and the circulating fan controller is arranged on the dry grinding system and is used for regulating and controlling the air speed and the air quantity of the circulating fan of the dry grinding system.
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