CN113814038A - High-power ball mill energy-saving control method based on global synergistic optimization energy-saving technology - Google Patents
High-power ball mill energy-saving control method based on global synergistic optimization energy-saving technology Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 44
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- 239000002245 particle Substances 0.000 claims abstract description 49
- 238000004458 analytical method Methods 0.000 claims abstract description 46
- 229910052500 inorganic mineral Inorganic materials 0.000 claims abstract description 42
- 239000011707 mineral Substances 0.000 claims abstract description 42
- 238000000498 ball milling Methods 0.000 claims abstract description 30
- 238000009826 distribution Methods 0.000 claims abstract description 17
- 238000004134 energy conservation Methods 0.000 claims abstract description 8
- 238000010219 correlation analysis Methods 0.000 claims abstract description 6
- 238000005070 sampling Methods 0.000 claims description 27
- 230000008569 process Effects 0.000 claims description 20
- 238000003921 particle size analysis Methods 0.000 claims description 15
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 15
- 238000000227 grinding Methods 0.000 claims description 14
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- CWYNVVGOOAEACU-UHFFFAOYSA-N Fe2+ Chemical compound [Fe+2] CWYNVVGOOAEACU-UHFFFAOYSA-N 0.000 description 1
- BPQQTUXANYXVAA-UHFFFAOYSA-N Orthosilicate Chemical compound [O-][Si]([O-])([O-])[O-] BPQQTUXANYXVAA-UHFFFAOYSA-N 0.000 description 1
- 229910000831 Steel Inorganic materials 0.000 description 1
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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
- B02C17/00—Disintegrating by tumbling mills, i.e. mills having a container charged with the material to be disintegrated with or without special disintegrating members such as pebbles or balls
- B02C17/10—Disintegrating by tumbling mills, i.e. mills having a container charged with the material to be disintegrated with or without special disintegrating members such as pebbles or balls with one or a few disintegrating members arranged in the container
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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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Abstract
The invention relates to a high-power ball mill energy-saving control method based on a global synergistic optimization energy-saving technology. Collecting audio signals in the ball mill cylinder by using an audio collector, obtaining the frequency spectrum of the audio signals through Fourier transform, and then carrying out correlation analysis on the frequency spectrum and the particle size distribution; according to the analysis result, the particle size distribution is achieved, then an energy-saving control formula is input according to the particle size distribution, the rotating speed of the ball mill is obtained according to the proportion of different particle sizes, and the rotating speed is controlled to be executed, so that energy-saving control is realized; the energy-saving control method can be used for crushing the loaded mineral aggregate into the particle size of the final powder at the highest speed, on one hand, the ball milling speed is high, on the other hand, the power is not wasted, the loss of the ball mill is reduced by accurately controlling the rotating speed, and the energy conservation and emission reduction are realized from multiple aspects.
Description
Technical Field
The invention relates to the field of energy-saving control, in particular to a high-power ball mill energy-saving control method based on a global synergistic optimization energy-saving technology.
Background
The ball mill is the key equipment for crushing the materials after the materials are crushed. This type of mill is provided with a number of steel balls as grinding media in the barrel. It is widely used in the production industries of cement, silicate products, novel building materials, refractory materials, chemical fertilizers, black and non-ferrous metal ore dressing, glass ceramics and the like.
The ball mill control in the prior art is generally that a preset rotating speed is set according to the components of different mineral aggregates, and then ball milling is directly carried out at a stable rotating speed until a finished product is obtained; because the optimal rotational speeds required for different particle size distributions are different, the scheme of stabilizing the rotational speed results in waste of energy; however, if the ball milling process needs to be continuously sampled for analysis, the ball milling process is interrupted for a plurality of times, so that the ball milling time is increased, and the energy conservation and emission reduction are also not facilitated.
Publication number CN207780584U discloses a ball mill energy-saving control system, which comprises a signal acquisition unit, a data processing unit, an evaluation unit and an optimization control unit; the running state of the ball mill is monitored, and the intelligent evaluation of the running state of the ball mill is realized through the connection of the RBP neural network and the load state of the ball mill; and moreover, the stability of the running state of the ball mill is ensured through the optimization control unit, the load of manual operation is reduced, and the grinding quality of the ball mill is improved. Although the method can realize real-time detection, the acquired vibration signals only control the work load of the ball mill, but the work load and energy conservation are not directly related, and finally the energy conservation still depends on controlling the optimal rotating speed for different particle sizes.
Disclosure of Invention
In order to solve the above problems, the present invention provides an energy-saving control method for a high-power ball mill based on global synergy optimization energy-saving technology, which comprises the following steps:
step 1: loading mineral aggregate and grinding balls into a ball mill cylinder, injecting a predetermined amount of water, starting an audio collector to collect audio signals in the ball mill cylinder, and starting the ball mill to start ball milling at a stable speed;
step 2: sampling from the cylinder body of the ball mill at intervals of 10min in the ball milling process, and loading the samples into a division analyzer for division analysis; dividing the particle size of the mineral aggregate into n grades, wherein n is more than or equal to 5; the division analyzer obtains the proportion of mineral aggregates with various particle sizes in the ball mill cylinder at the current moment; meanwhile, sending the audio signals in the cylinder body of the ball mill collected by the audio collector within 10s before sampling to an energy-saving analysis module; the energy-saving analysis module performs Fourier transform on the audio signal to obtain a frequency spectrum of the audio signal;
and step 3: the ball milling process is continued, and the division sampling is continuously carried out until the analysis result of the sampling in the ball mill shows that the ball milling process is completed; sampling for M times to obtain M groups of particle size distribution data and frequency spectrums of M audio signals;
and 4, step 4: performing correlation analysis on the obtained M particle size distribution and the M audio signals so as to establish a spectrum-particle size analysis model;
and 5: loading new mineral aggregate and grinding balls into a ball mill cylinder, injecting a predetermined amount of water, starting an audio collector to collect audio signals in the ball mill cylinder, and starting the ball mill to start ball milling at a stable speed;
step 6: sampling the audio signals in the cylinder body of the ball mill for 10s by the audio collector at intervals of 10min in the ball milling process, and sending the samples to the energy-saving analysis module; the energy-saving analysis module performs Fourier transform on the audio signal to obtain a frequency spectrum of the audio signal; inputting the frequency spectrum of the energy-saving analysis module into a frequency spectrum-particle size analysis model to obtain the proportion of n particle size range mineral aggregates in the ball mill;
and 7: the energy-saving analysis module controls the rotation speed controller of the ball mill to rotate according to a preset model, and energy conservation is achieved.
The audio collector only samples from the bottom of the ball mill, and the audio collector and the ball mill cylinder are in liquid coupling, so that the service life of the ball mill cylinder is not influenced.
Let the ratio of N ore materials with particle size ranges sampled at the m-th time be Nm1：Nm2：…：Nmn(ii) a Wherein N ism1+Nm2+…+Nmn=1；1≤m≤M；
The method for establishing the frequency spectrum-particle size analysis model comprises the following steps: denoising and smoothing the frequency spectrum of the audio signal, and performing Gaussian curve fitting on the first frequency spectrum and the last frequency spectrum sampled in the ball milling process to obtain Q1And QnWherein Q is1Corresponding to the frequency spectrum of the first sample, QnThe spectrum corresponding to the last sample;
then fitting the frequency spectrums of the 2 nd to M-1 st samples by adopting n-dimensional Gaussian curves, namely fitting each frequency spectrum curve by using n Gaussian curves; q must be included in the n Gaussian curves1And QnThe other curve being denoted by Q2To Qn-1；
Q2To Qn-1The optimization conditions of the calculation are as follows: frequency spectrum P of m-th samplingmAnd Nm1·Q1+ Nm2·Q2+ …+Nmn·QnThe difference between Em，EmThe sum of (a) is minimal;
thus, Q can be used directly for any frequency spectrum1To QnThe proportion of the mineral aggregates in each particle size range can be directly obtained according to the coefficients of the n Gaussian functions by fitting the n Gaussian functions.
The energy-saving analysis module controls the ball mill rotation speed controller to rotate according to a preset model, and the preset model is as follows:
rotational speed R = A1·Nm1 + A2·Nm2+ …+ An·Nmn(ii) a Wherein A is1To AnIs calculated according to an energy-saving function, the energy-saving function is An= n + nEH/S, where E is the Young' S modulus of the mineral aggregate, H is the hardness of the mineral aggregate, S is the energy saving factor, and n is A1To AnThe corner mark of (1).
An energy saving control system for performing the method, comprising:
the device comprises a ball mill, a ball mill rotating speed controller, an energy-saving analysis module, an audio collector, a water inflow controller and a division analyzer;
the audio collector is arranged at the bottom of the outer wall of the ball grinding cylinder of the ball mill, is in liquid coupling with the ball mill cylinder, and is used for collecting vibration sound signals in the ball grinding cylinder of the ball mill and sending the signals to the energy-saving analysis module;
the energy-saving analysis module performs Fourier transform on the audio signal of the mobile phone of the audio collector to obtain the frequency spectrum of the audio signal, and inputs the frequency spectrum of the audio signal into a frequency spectrum-particle size analysis model to obtain the proportion of mineral aggregates in each particle size range in the ball mill;
the ball mill rotation speed controller controls the rotation speed of the ball mill cylinder of the ball mill, and the water inflow controller is used for controlling the water injection amount in the ball mill cylinder;
the division analyzer is used for sampling and dividing from the ball mill and analyzing the particle size distribution of the division sample;
the energy-saving analysis module controls the rotating speed of the ball mill cylinder according to the proportion of the mineral aggregate in each particle size range in the ball mill, so that the energy-saving control of the ball mill is realized.
The audio collector only samples from the bottom of the ball mill, and the audio collector and the ball mill cylinder are in liquid coupling, so that the service life of the ball mill cylinder is not influenced.
Let the ratio of N ore materials with particle size ranges sampled at the m-th time be Nm1：Nm2：…：Nmn(ii) a Wherein N ism1+Nm2+…+Nmn=1；1≤m≤M；
The method for establishing the frequency spectrum-particle size analysis model comprises the following steps: denoising and smoothing the frequency spectrum of the audio signal, and performing Gaussian curve fitting on the first frequency spectrum and the last frequency spectrum sampled in the ball milling process to obtain Q1And QnWherein Q is1Corresponding to the frequency spectrum of the first sample, QnThe spectrum corresponding to the last sample;
then fitting the frequency spectrums of the 2 nd to M-1 st samples by adopting n-dimensional Gaussian curves, namely fitting each frequency spectrum curve by using n Gaussian curves; q must be included in the n Gaussian curves1And QnThe other curve being denoted by Q2To Qn-1；
Q2To Qn-1The optimization conditions of the calculation are as follows: frequency spectrum P of m-th samplingmAnd Nm1·Q1+ Nm2·Q2+ …+Nmn·QnThe difference between Em，EmThe sum of (a) is minimal;
thus, Q can be used directly for any frequency spectrum1To QnThe proportion of the mineral aggregates in each particle size range can be directly obtained according to the coefficients of the n Gaussian functions by fitting the n Gaussian functions.
The energy-saving analysis module controls the ball mill rotation speed controller to rotate according to a preset model, and the preset model is as follows:
rotational speed R = A1·Nm1 + A2·Nm2+ …+ An·Nmn(ii) a Wherein A is1To AnIs calculated according to an energy-saving function, the energy-saving function is An= n + nEH/S, where E is the Young' S modulus of the mineral aggregate, H is the hardness of the mineral aggregate, S is the energy saving factor, and n is A1To AnThe corner mark of (1).
It is worth noting that the above formula is empirical and there is no dimensional problem because the energy saving coefficient is the same dimension as EH. In addition, although the correlation analysis of the spectrum and the particle size distribution is performed by curve fitting, different correlation analyses, such as principal component analysis, assignment discriminant model, etc., may be used in practice, and all of the above modifications fall within the scope of the present invention.
The invention has the beneficial effects that:
the method comprises the steps of collecting audio signals in a ball mill cylinder by using an audio collector, obtaining frequency spectrums of the audio signals through Fourier transform, and then carrying out correlation analysis on the frequency spectrums and particle size distribution; according to the analysis result, the particle size distribution is achieved, then an energy-saving control formula is input according to the particle size distribution, the rotating speed of the ball mill is obtained according to the proportion of different particle sizes, and the rotating speed is controlled to be executed, so that energy-saving control is realized; the energy-saving control method can be used for crushing the loaded mineral aggregate into the particle size of the final powder at the highest speed, on one hand, the ball milling speed is high, on the other hand, the power is not wasted, the loss of the ball mill is reduced by accurately controlling the rotating speed, and the energy conservation and emission reduction are realized from multiple aspects.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosed subject matter, are incorporated in and constitute a part of this specification. The drawings illustrate the implementations of the disclosed subject matter and, together with the detailed description, serve to explain the principles of implementations of the disclosed subject matter. No attempt is made to show structural details of the disclosed subject matter in more detail than is necessary for a fundamental understanding of the disclosed subject matter and various modes of practicing the same.
FIG. 1 is a schematic block diagram of the present invention;
fig. 2 is a schematic diagram of an audio collection structure according to the present invention.
Detailed Description
The advantages, features and methods of accomplishing the same will become apparent from the drawings and the detailed description that follows.
Example 1:
with reference to fig. 1-2, a high-power ball mill energy-saving control method based on global synergy optimization energy-saving technology comprises the following steps:
step 1: loading mineral aggregate and grinding balls into a ball mill cylinder, injecting a predetermined amount of water, starting an audio collector to collect audio signals in the ball mill cylinder, and starting the ball mill to start ball milling at a stable speed;
step 2: sampling from the cylinder body of the ball mill at intervals of 10min in the ball milling process, and loading the samples into a division analyzer for division analysis; dividing the particle size of the mineral aggregate into n grades, wherein n is more than or equal to 5; the division analyzer obtains the proportion of mineral aggregates with various particle sizes in the ball mill cylinder at the current moment; meanwhile, sending the audio signals in the cylinder body of the ball mill collected by the audio collector within 10s before sampling to an energy-saving analysis module; the energy-saving analysis module performs Fourier transform on the audio signal to obtain a frequency spectrum of the audio signal;
and step 3: the ball milling process is continued, and the division sampling is continuously carried out until the analysis result of the sampling in the ball mill shows that the ball milling process is completed; sampling for M times to obtain M groups of particle size distribution data and frequency spectrums of M audio signals;
and 4, step 4: performing correlation analysis on the obtained M particle size distribution and the M audio signals so as to establish a spectrum-particle size analysis model;
and 5: loading new mineral aggregate and grinding balls into a ball mill cylinder, injecting a predetermined amount of water, starting an audio collector to collect audio signals in the ball mill cylinder, and starting the ball mill to start ball milling at a stable speed;
step 6: sampling the audio signals in the cylinder body of the ball mill for 10s by the audio collector at intervals of 10min in the ball milling process, and sending the samples to the energy-saving analysis module; the energy-saving analysis module performs Fourier transform on the audio signal to obtain a frequency spectrum of the audio signal; inputting the frequency spectrum of the energy-saving analysis module into a frequency spectrum-particle size analysis model to obtain the proportion of n particle size range mineral aggregates in the ball mill;
and 7: the energy-saving analysis module controls the rotation speed controller of the ball mill to rotate according to a preset model, and energy conservation is achieved.
The audio collector only samples from the bottom of the ball mill, and the audio collector and the ball mill cylinder are in liquid coupling, so that the service life of the ball mill cylinder is not influenced.
Let the ratio of N ore materials with particle size ranges sampled at the m-th time be Nm1：Nm2：…：Nmn(ii) a Wherein N ism1+Nm2+…+Nmn=1；1≤m≤M；
The method for establishing the frequency spectrum-particle size analysis model comprises the following steps: denoising and smoothing the frequency spectrum of the audio signal, and performing Gaussian curve fitting on the first frequency spectrum and the last frequency spectrum sampled in the ball milling process to obtain Q1And QnWherein Q is1Corresponding to the frequency spectrum of the first sample, QnThe spectrum corresponding to the last sample;
then fitting the frequency spectrums of the 2 nd to M-1 st samples by adopting n-dimensional Gaussian curves, namely fitting each frequency spectrum curve by using n Gaussian curves; q must be included in the n Gaussian curves1And QnThe other curve being denoted by Q2To Qn-1；
Q2To Qn-1The optimization conditions of the calculation are as follows: frequency spectrum P of m-th samplingmAnd Nm1·Q1+ Nm2·Q2+ …+Nmn·QnThe difference between Em，EmThe sum of (a) is minimal;
thus, Q can be used directly for any frequency spectrum1To QnThe proportion of the mineral aggregates in each particle size range can be directly obtained according to the coefficients of the n Gaussian functions by fitting the n Gaussian functions.
The energy-saving analysis module controls the ball mill rotation speed controller to rotate according to a preset model, and the preset model is as follows:
rotational speed R = A1·Nm1 + A2·Nm2+ …+ An·Nmn(ii) a Wherein A is1To AnIs calculated according to an energy-saving function, the energy-saving function is An= n + nEH/S, where E is the Young' S modulus of the mineral aggregate, H is the hardness of the mineral aggregate, S is the energy saving factor, and n is A1To AnThe corner mark of (1).
Example 2:
an energy saving control system for performing the method, comprising:
the device comprises a ball mill, a ball mill rotating speed controller, an energy-saving analysis module, an audio collector, a water inflow controller and a division analyzer;
the audio collector is arranged at the bottom of the outer wall of the ball grinding cylinder of the ball mill, is in liquid coupling with the ball mill cylinder, and is used for collecting vibration sound signals in the ball grinding cylinder of the ball mill and sending the signals to the energy-saving analysis module;
the energy-saving analysis module performs Fourier transform on the audio signal of the mobile phone of the audio collector to obtain the frequency spectrum of the audio signal, and inputs the frequency spectrum of the audio signal into a frequency spectrum-particle size analysis model to obtain the proportion of mineral aggregates in each particle size range in the ball mill;
the ball mill rotation speed controller controls the rotation speed of the ball mill cylinder of the ball mill, and the water inflow controller is used for controlling the water injection amount in the ball mill cylinder;
the division analyzer is used for sampling and dividing from the ball mill and analyzing the particle size distribution of the division sample;
the energy-saving analysis module controls the rotating speed of the ball mill cylinder according to the proportion of the mineral aggregate in each particle size range in the ball mill, so that the energy-saving control of the ball mill is realized.
The audio collector only samples from the bottom of the ball mill, and the audio collector and the ball mill cylinder are in liquid coupling, so that the service life of the ball mill cylinder is not influenced.
Let the ratio of N ore materials with particle size ranges sampled at the m-th time be Nm1：Nm2：…：Nmn(ii) a Wherein N ism1+Nm2+…+Nmn=1；1≤m≤M；
The method for establishing the frequency spectrum-particle size analysis model comprises the following steps: de-noising and smoothing the frequency spectrum of the audio signal and summing the first of the ball milling process samplesAnd performing Gaussian curve fitting on the last frequency spectrum to obtain Q1And QnWherein Q is1Corresponding to the frequency spectrum of the first sample, QnThe spectrum corresponding to the last sample;
then fitting the frequency spectrums of the 2 nd to M-1 st samples by adopting n-dimensional Gaussian curves, namely fitting each frequency spectrum curve by using n Gaussian curves; q must be included in the n Gaussian curves1And QnThe other curve being denoted by Q2To Qn-1；
Q2To Qn-1The optimization conditions of the calculation are as follows: frequency spectrum P of m-th samplingmAnd Nm1·Q1+ Nm2·Q2+ …+Nmn·QnThe difference between Em，EmThe sum of (a) is minimal;
thus, Q can be used directly for any frequency spectrum1To QnThe proportion of the mineral aggregates in each particle size range can be directly obtained according to the coefficients of the n Gaussian functions by fitting the n Gaussian functions.
The energy-saving analysis module controls the ball mill rotation speed controller to rotate according to a preset model, and the preset model is as follows:
rotational speed R = A1·Nm1 + A2·Nm2+ …+ An·Nmn(ii) a Wherein A is1To AnIs calculated according to an energy-saving function, the energy-saving function is An= n + nEH/S, where E is the Young' S modulus of the mineral aggregate, H is the hardness of the mineral aggregate, S is the energy saving factor, and n is A1To AnThe corner mark of (1).
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (8)
1. A high-power ball mill energy-saving control method based on a global synergy optimization energy-saving technology is characterized by comprising the following steps:
step 1: loading mineral aggregate and grinding balls into a ball mill cylinder, injecting a predetermined amount of water, starting an audio collector to collect audio signals in the ball mill cylinder, and starting the ball mill to start ball milling at a stable speed;
step 2: sampling from the cylinder body of the ball mill at intervals of 10min in the ball milling process, and loading the samples into a division analyzer for division analysis; dividing the particle size of the mineral aggregate into n grades, wherein n is more than or equal to 5; the division analyzer obtains the proportion of mineral aggregates with various particle sizes in the ball mill cylinder at the current moment; meanwhile, sending the audio signals in the cylinder body of the ball mill collected by the audio collector within 10s before sampling to an energy-saving analysis module; the energy-saving analysis module performs Fourier transform on the audio signal to obtain a frequency spectrum of the audio signal;
and step 3: the ball milling process is continued, and the division sampling is continuously carried out until the analysis result of the sampling in the ball mill shows that the ball milling process is completed; sampling for M times to obtain M groups of particle size distribution data and frequency spectrums of M audio signals;
and 4, step 4: performing correlation analysis on the obtained M particle size distribution and the M audio signals so as to establish a spectrum-particle size analysis model;
and 5: loading new mineral aggregate and grinding balls into a ball mill cylinder, injecting a predetermined amount of water, starting an audio collector to collect audio signals in the ball mill cylinder, and starting the ball mill to start ball milling at a stable speed;
step 6: sampling the audio signals in the cylinder body of the ball mill for 10s by the audio collector at intervals of 10min in the ball milling process, and sending the samples to the energy-saving analysis module; the energy-saving analysis module performs Fourier transform on the audio signal to obtain a frequency spectrum of the audio signal; inputting the frequency spectrum of the energy-saving analysis module into a frequency spectrum-particle size analysis model to obtain the proportion of n particle size range mineral aggregates in the ball mill;
and 7: the energy-saving analysis module controls the rotation speed controller of the ball mill to rotate according to a preset model, and energy conservation is achieved.
2. The energy-saving control method of the high-power ball mill based on the global synergistic optimization energy-saving technology as claimed in claim 1, which is characterized in that:
the audio collector only samples from the bottom of the ball mill, and the audio collector and the ball mill cylinder are in liquid coupling, so that the service life of the ball mill cylinder is not influenced.
3. The energy-saving control method of the high-power ball mill based on the global synergistic optimization energy-saving technology as claimed in claim 1, which is characterized in that:
let the ratio of N ore materials with particle size ranges sampled at the m-th time be Nm1：Nm2：…：Nmn(ii) a Wherein N ism1+Nm2+…+Nmn=1；1≤m≤M；
The method for establishing the frequency spectrum-particle size analysis model comprises the following steps: denoising and smoothing the frequency spectrum of the audio signal, and performing Gaussian curve fitting on the first frequency spectrum and the last frequency spectrum sampled in the ball milling process to obtain Q1And QnWherein Q is1Corresponding to the frequency spectrum of the first sample, QnThe spectrum corresponding to the last sample;
then fitting the frequency spectrums of the 2 nd to M-1 st samples by adopting n-dimensional Gaussian curves, namely fitting each frequency spectrum curve by using n Gaussian curves; q must be included in the n Gaussian curves1And QnThe other curve being denoted by Q2To Qn-1；
Q2To Qn-1The optimization conditions of the calculation are as follows: frequency spectrum P of m-th samplingmAnd Nm1·Q1+ Nm2·Q2+ …+Nmn·QnThe difference between Em，EmThe sum of (a) is minimal;
thus, Q can be used directly for any frequency spectrum1To QnThe proportion of the mineral aggregates in each particle size range can be directly obtained according to the coefficients of the n Gaussian functions by fitting the n Gaussian functions.
4. The energy-saving control method of the high-power ball mill based on the global synergistic optimization energy-saving technology as claimed in claim 1, which is characterized in that:
the energy-saving analysis module controls the ball mill rotation speed controller to rotate according to a preset model, and the preset model is as follows:
rotational speed R = A1·Nm1 + A2·Nm2+ …+ An·Nmn(ii) a Wherein A is1To AnIs calculated according to an energy-saving function, the energy-saving function is An= n + nEH/S, where E is the Young' S modulus of the mineral aggregate, H is the hardness of the mineral aggregate, S is the energy saving factor, and n is A1To AnThe corner mark of (1).
5. An energy saving control system for performing the method of claim 1, comprising:
the device comprises a ball mill, a ball mill rotating speed controller, an energy-saving analysis module, an audio collector, a water inflow controller and a division analyzer;
the audio collector is arranged at the bottom of the outer wall of the ball grinding cylinder of the ball mill, is in liquid coupling with the ball mill cylinder, and is used for collecting vibration sound signals in the ball grinding cylinder of the ball mill and sending the signals to the energy-saving analysis module;
the energy-saving analysis module performs Fourier transform on the audio signal of the mobile phone of the audio collector to obtain the frequency spectrum of the audio signal, and inputs the frequency spectrum of the audio signal into a frequency spectrum-particle size analysis model to obtain the proportion of mineral aggregates in each particle size range in the ball mill;
the ball mill rotation speed controller controls the rotation speed of the ball mill cylinder of the ball mill, and the water inflow controller is used for controlling the water injection amount in the ball mill cylinder;
the division analyzer is used for sampling and dividing from the ball mill and analyzing the particle size distribution of the division sample;
the energy-saving analysis module controls the rotating speed of the ball mill cylinder according to the proportion of the mineral aggregate in each particle size range in the ball mill, so that the energy-saving control of the ball mill is realized.
6. The energy saving control system according to claim 5, characterized in that:
the audio collector only samples from the bottom of the ball mill, and the audio collector and the ball mill cylinder are in liquid coupling, so that the service life of the ball mill cylinder is not influenced.
7. The energy saving control system according to claim 5, characterized in that:
let the ratio of N ore materials with particle size ranges sampled at the m-th time be Nm1：Nm2：…：Nmn(ii) a Wherein N ism1+Nm2+…+Nmn=1；1≤m≤M；
The method for establishing the frequency spectrum-particle size analysis model comprises the following steps: denoising and smoothing the frequency spectrum of the audio signal, and performing Gaussian curve fitting on the first frequency spectrum and the last frequency spectrum sampled in the ball milling process to obtain Q1And QnWherein Q is1Corresponding to the frequency spectrum of the first sample, QnThe spectrum corresponding to the last sample;
then fitting the frequency spectrums of the 2 nd to M-1 st samples by adopting n-dimensional Gaussian curves, namely fitting each frequency spectrum curve by using n Gaussian curves; q must be included in the n Gaussian curves1And QnThe other curve being denoted by Q2To Qn-1；
Q2To Qn-1The optimization conditions of the calculation are as follows: frequency spectrum P of m-th samplingmAnd Nm1·Q1+ Nm2·Q2+ …+Nmn·QnThe difference between Em，EmThe sum of (a) is minimal;
thus, Q can be used directly for any frequency spectrum1To QnThe proportion of the mineral aggregates in each particle size range can be directly obtained according to the coefficients of the n Gaussian functions by fitting the n Gaussian functions.
8. The energy saving control system according to claim 6, characterized in that:
the energy-saving analysis module controls the ball mill rotation speed controller to rotate according to a preset model, and the preset model is as follows:
rotational speed R = A1·Nm1 + A2·Nm2+ …+ An·Nmn(ii) a Wherein A is1To AnIs calculated according to an energy-saving function, the energy-saving function is An= n + nEH/S, where E is the Young' S modulus of the mineral aggregate, H is the hardness of the mineral aggregate, S is the energy saving factor, and n is A1To AnThe corner mark of (1).
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