CN114779644B - Intelligent control method for filter - Google Patents

Intelligent control method for filter Download PDF

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CN114779644B
CN114779644B CN202210471663.6A CN202210471663A CN114779644B CN 114779644 B CN114779644 B CN 114779644B CN 202210471663 A CN202210471663 A CN 202210471663A CN 114779644 B CN114779644 B CN 114779644B
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filtrate
filter cake
turbidity
dryness
process flow
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CN114779644A (en
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冯庸
房基
秦松
王凯
孙晓晓
蒲恩旭
孙思琼
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Shandong Fude Environmental Protection Co ltd
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    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract

The invention relates to a method for intelligently controlling a filter, which comprises the following steps: s1, creating a database; s2, setting a filter cake target dryness and a filtrate target turbidity; s3, collecting material parameters; s4, the cloud server is matched with the database, and an initial process flow and process parameter data are set; s5, operating the equipment for one period, and collecting the actual dryness of the filter cake and the actual turbidity of the filtrate; s6, comparing and calculating a difference coefficient between the dryness of the filter cake and the turbidity of the filtrate; s7, optimizing and adjusting the process flow and the process parameter data according to the difference coefficient; s8 returns to the S5 loop. According to different parameters of materials, the method selects proper process flow and process parameters, continuously detects the dryness of the filter cake and the turbidity of the filtrate in the operation process, optimizes the process flow and the process parameters, enables the equipment to be always in the optimal operation state, and greatly improves the product quality.

Description

Intelligent control method for filter
Technical Field
The invention belongs to the field of filter machine control, and particularly relates to a method for intelligently controlling a filter machine.
Background
In recent years, the industry of industrial filters is rapidly developed, and filter equipment models from manufacturers are different and filter areas are different. However, the process flow and process parameters of the existing filter are mainly to manually check and test filter cake and filtrate parameters and to adjust equipment according to working experience. The regulation and control method has long regulation time consumption, is influenced by personal work experience, cannot accurately and timely regulate equipment, and influences the quality and efficiency of the product.
CN 112774286A discloses a filtering device for diatomite filter and its control method, the filtering device is controlled by PLC intelligent system, the control system is provided with modules of filtering output selection, filtering cleaning back-flushing control, filtering state real-time monitoring, filtering function abnormity alarm, etc., the valve core is adjusted by transmission shaft in full-automatic five-way valve according to time and pressure difference, the size and direction of water flow are controlled, the mixed solution of diatomite and water is pre-coated and hung on the outer side of the filter core, and the abnormal information can be recorded and inquired, so as to realize remote intelligent control. Its advantage lies in utilizing intelligent control module to accomplish the membrane of precoating, control filter membrane thickness, and the powerful adsorption characteristic of make full use of diatomaceous earth and the multilayer arrangement of stainless steel filter core mesh realize the filter effect, reduce later stage working costs, and equipment is through experimental test repeatedly, than preceding plate and frame filter fault rate greatly reduced. However, the systematic automatic adjustment and optimization of the process flow and process parameters of the filter are not realized.
Disclosure of Invention
Aiming at the existing defects, the invention provides an intelligent control method for a filter, so as to solve the technical problem of how to automatically adjust the process flow and the process parameters of the filter.
The specific technical scheme of the invention is as follows:
a method for intelligently controlling a filter comprises the following steps:
s1: establishing a material parameter, a filter cake parameter, a filtrate parameter, a process flow and a process parameter database;
s2: setting a Filter cake target dryness GD t And the filtrate target turbidity ZD t ；
S3: collecting material parameters;
s4: the cloud server is matched with the database, and an initial process flow and process parameter data are set;
s5: the equipment runs for one period, and actual dryness GD of the filter cake is collected r And the actual turbidity ZD of the filtrate r ；
S6: comparative calculation of actual dryness GD of filter cake r And filter cake target dryness GD t Filter cake dryness difference coefficient K GD Actual turbidity ZD of the filtrate r And the filtrate target turbidity ZD t The turbidity difference coefficient of the filtrate;
s7: according to the dryness difference coefficient K of the filter cake GD Coefficient of turbidity difference with filtrate K ZD Matching the database, and optimizing and adjusting the process flow and the process parameter data;
s8: and returning to the S5 loop.
In S1, according to different working conditions, different materials, different filter cakes and total databases of filtrate requirements are established, for example:
the material parameters comprise material name, material PH value, material temperature and material density;
the filter cake parameters comprise the dryness of a target filter cake, the actually measured dryness of the filter cake and the difference coefficient of the dryness of the material filter cake;
the filtrate parameters comprise target filtrate turbidity, actually measured filtrate turbidity and material filtrate turbidity difference coefficient;
the process flow comprises a feeding process, a material returning process, an extruding process, a pressure relief process, an air drying process, a washing process and the sequence and times of the processes in a circulating process;
the process parameters comprise a filter cake dryness difference coefficient parameter lambda, a filtrate turbidity difference coefficient parameter mu, a process parameter adjustment coefficient zeta, air drying time t and extrusion pressure P;
one cycle in S5 means that the apparatus feeds out the cake and filtrate; feeding the materials again, and entering the next period to obtain a filter cake and filtrate.
The invention adopts the technical characteristics and has the following technical effects:
according to the method for intelligently controlling the filter, the proper process flow and process parameters are selected according to the collected material parameters, the dryness of the filter cake and the turbidity of the filtrate are continuously detected in the operation process, the process flow and the process parameters are optimized, the equipment is always in the optimal operation state, and the product quality is greatly improved.
The technical scheme can be further improved as follows:
further, the process flow and the process parameter data are optimized and adjusted in the step S7, wherein the filter cake dryness difference coefficient K GD Coefficient of turbidity difference with filtrate K ZD The calculation method comprises the following steps:
K GD ＝λ(GD r -GD t )/GD r ×100％；
K ZD ＝μ(ZD r -ZD t )/ZD r ×100％；
in the formula, lambda and mu are parameters in a database, wherein lambda is a filter cake dryness difference coefficient parameter determined according to the material filtering difficulty; mu is a coefficient parameter of turbidity difference of the filtrate determined according to the filtration difficulty of the materials, lambda is more than 0 and less than or equal to 1, and mu is more than 0 and less than or equal to 1.
Further, according to the difference coefficient K of the dryness of the filter cake GD The method for optimizing and adjusting the process flow and the process parameters comprises the following steps:
when K is GD When the content is more than or equal to 40 percent, the process flow is adjusted, and a primary extrusion process is added;
when 20% < K GD If the pressure is less than 40 percent, adjusting the process parameters and the extrusion pressure P to be P = (1 + zeta multiplied by K) GD ) P ', P' is the extrusion pressure before adjustment;
when 10% < K GD When the content is less than or equal to 20 percent, adjusting the process parameters, and adjusting the air drying time t to t = (1 + xi multiplied by K) GD ) X t' is the air drying time before adjustment;
when K is GD When the content is less than or equal to 10 percent, the process is not adjusted;
the zeta is a parameter in a database and is a process parameter adjustment coefficient determined according to the characteristic of the difficulty degree of filtering filtrate of the material, and zeta is more than 0 and less than or equal to 1;
and xi in the formula is a parameter in a database, and is a process parameter adjustment coefficient determined according to the characteristic of the difficulty degree of a material filter cake, wherein xi is more than 0 and less than or equal to 1.
Further, according to the turbidity difference coefficient K of the filtrate ZD The method for optimizing and adjusting the process flow and the process parameters comprises the following steps:
when K is ZD When the content is more than or equal to 40 percent, the process flow is adjusted, and a primary extrusion process is added;
when 25% < K ZD If the concentration is less than 40%, adjusting the process flow and adding a washing procedure;
when 10% < K ZD When the content is less than or equal to 25 percent, adjusting the process parameters, and adjusting the extrusion pressure P to be P = (1 + zeta multiplied by K) ZD ) P ', P' is the extrusion pressure before adjustment;
when K is ZD When the content is less than or equal to 10 percent, the process is not adjusted;
the zeta is a parameter in a database and is a process parameter adjustment coefficient determined according to the characteristic of the difficulty degree of filtering filtrate of the material, and zeta is more than 0 and less than or equal to 1.
Further, selecting equipment modes, wherein the equipment modes are divided into a filter cake mode, a filtrate mode, a filter cake priority mode and a filtrate priority mode;
the method for optimizing and adjusting the process flow and the process parameters according to the currently selected equipment mode comprises the following steps:
in the filter cake mode, the turbidity difference coefficient K of the filtrate is not considered when the process flow and the process parameters are adjusted ZD ；
The filter liquor mode does not consider the turbidity difference coefficient K of the filter cake when adjusting the process flow and the process parameters GD ；
The filter cake is in a preferential mode according to K GD Adjusting the process flow and process parameters until the dryness of the filter cake is qualified, and then according to K ZD Adjusting the process flow and the process parameters to enable the turbidity of the filtrate to be close to the target turbidity;
the filtrate priority mode is based on K ZD Adjusting the process flow and process parameters until the turbidity of the filtrate is qualified, and then according to K GD And adjusting the process flow and the process parameters to lead the dryness of the filter cake to be close to the target dryness.
The adoption of the above further technical characteristics has the following technical effects:
according to the target dryness of filter cake GD t Target turbidity ZD of filtrate t Actual dryness of filter cake GD r And the actual turbidity ZD of the filtrate r Calculating the difference coefficient K of the dryness of the filter cake by substituting the formula GD Coefficient of turbidity difference with filtrate K ZD More scientific and reliable; selecting an equipment mode according to requirements, and selecting a filter cake mode if a filter cake is required; if the filtrate is needed, selecting a filtrate mode; if both are needed and the filter cake is more important, selecting a filter cake priority mode; if both are needed and the filtrate is more important, the filtrate is in a priority mode; thus according to K GD 、K ZD Optimizing and adjusting the process flow and the process parameters according to the currently selected equipment mode; and then, the dryness of the filter cake and the turbidity of the filtrate are automatically detected in the operation process, and the process flow and process parameters are continuously optimized, so that the equipment is always in the optimal operation state, and the product quality is further improved.
The method for intelligently controlling the filter can be applied to materials with different batches and different parameters, the proper process flow and process parameters are selected according to the different parameters of the materials, the dryness of the filter cake and the turbidity of the filtrate are continuously detected in the operation process, the process flow and the process parameters are optimized, the equipment is always in the optimal operation state, and the product quality is greatly improved. And calculating the filter cake dryness difference coefficient K by applying a scientific formula GD Coefficient of turbidity difference with filtrate K ZD According to K GD 、K ZD And the current equipment mode optimizes and adjusts the process flow and the process parameters, thereby further improving the product quality.
Drawings
FIG. 1 is a flow chart of the method for intelligently controlling the filter of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with examples, which are included to illustrate the invention and not to limit the scope of the invention.
Example 1:
a method for intelligently controlling a filter comprises the following steps:
s1: establishing a material parameter, a filter cake parameter, a filtrate parameter, a process flow and a process parameter database;
according to different working conditions, different materials, different filter cakes and total databases of filter liquor requirements are created, for example:
the material parameters comprise material name, material PH value, material temperature and material density;
the filter cake parameters comprise a target filter cake dryness, an actually measured filter cake dryness and a material filter cake dryness difference coefficient;
the filtrate parameters comprise target filtrate turbidity, actually measured filtrate turbidity and material filtrate turbidity difference coefficient;
the process flow comprises a feeding process, a material returning process, an extrusion process, a pressure relief process, an air drying process, a washing process and the sequence and times of each process in a circulating process;
the process parameters comprise a filter cake dryness difference coefficient parameter lambda, a filtrate turbidity difference coefficient parameter mu, a process parameter adjustment coefficient zeta, air drying time t and extrusion pressure P;
s2: setting a Filter cake target dryness GD t At 6%, the filtrate target turbidity ZD t Is 50NTU;
s3: collecting material parameters, wherein the collected material parameters are PH =7, T =40 ℃, ZD =1000NTU, rho =1.8 × 10 3 kg/m 3 ；
S4: the cloud server is matched with a database, and initial process flow and process parameter data are set, wherein the set process flow is feeding → material returning → extrusion → pressure relief → washing → extrusion → washing → pressure relief → washing → extrusion → pressure relief → air drying, namely extrusion pressure relief is carried out through 4 cycles, and the set process parameter data are feeding pressure =0.6MPa, material returning time =5min, extrusion pressure 1.2MPa, extrusion time =6min, pressure relief time =3min, washing pressure =0.6MPa, washing time =5min, air drying pressure 0.8MPa and air drying time =5min;
s5: the equipment is transported to the period of discharging the filter cake and the filtrate, and the actual dryness GD of the filter cake is collected r Is 10% and the actual turbidity ZD of the filtrate r 120NTU;
s6: automatically calculating the filter cake dryness difference coefficient K according to a formula GD Coefficient of turbidity difference with filtrate K ZD The formula is as follows: k GD ＝λ(GD r -GD t )/GD r ×100％；K ZD ＝μ(ZD r -ZD t )/ZD r ×100％；
λ =0.35, μ =0.3 in the database;
calculating to obtain K GD ＝23.3％，K ZD ＝42％；
S7: selecting the current equipment mode as a filter cake priority mode:
(1) Firstly, according to the filter cake dryness difference coefficient K GD Optimizing and adjusting the process flow and the process parameters:
wherein, K GD ＝23.3％，20＜K GD If the pressure is less than 40 percent, adjusting the process parameters, and adjusting the extrusion pressure P to be P = (1 + zeta multiplied by K) GD ) X P ', P' is before adjustmentExtrusion pressure;
ζ =0.65 in the database;
p =0.8 is calculated;
adjusting the technological parameters of the equipment, and adjusting the extrusion pressure to 0.8MPa;
s8: returning to S5 circulation, operating the equipment for a period, and collecting the actual dryness GD of the filter cake r Is 7% and the actual turbidity ZD of the filtrate r Is 95NTU;
s6: automatically calculating the filter cake dryness difference coefficient K according to a formula GD Coefficient of difference between =5.8% and turbidity of filtrate K ZD ＝27％；
S7: according to the dryness difference coefficient K of the filter cake GD Coefficient of turbidity difference K from filtrate ZD Matching the database, confirming that the technological process and the technological parameters do not need to be adjusted, and controlling the system according to the turbidity difference coefficient K of the filtrate ZD Optimizing and adjusting the process flow and the process parameters;
(2) According to the turbidity difference coefficient K of the filtrate ZD Optimizing and adjusting the process flow and the process parameters:
wherein, K ZD ＝27％，25％＜K ZD If the concentration is less than 40%, adjusting the process flow and adding a washing procedure;
the equipment process flow is adjusted as follows: feeding → returning → pressing → pressure releasing → washing → extrusion → pressure release → washing → extrusion → pressure release → air drying;
s8: returning to S5 circulation, operating the equipment for a period, and collecting the actual dryness GD of the filter cake r Is 7% and the actual turbidity ZD of the filtrate r Is 60NTU;
s6: automatically calculating the filter cake dryness difference coefficient K according to a formula GD Coefficient of difference between =5.8% and turbidity of filtrate K ZD ＝6％；
S7: according to the dryness difference coefficient K of the filter cake GD Coefficient of turbidity difference with filtrate K ZD And matching the database, confirming that the process flow and the process parameters do not need to be adjusted, and circularly and stably operating the equipment.
Data on the final product obtained: biscuit filter value =7%; filtrate turbidity value =60NTU.
Example 2:
a method for intelligently controlling a filter comprises the following steps:
s1: establishing a material parameter, a filter cake parameter, a filtrate parameter, a process flow and a process parameter database; same as in example 1.
S2: setting a filter cake target dryness GD t Is 8% and the filtrate target turbidity ZD t Is 80NTU;
s3: collecting material parameters, wherein the collected material parameters are PH =1, T =60 ℃, ZD =1300NTU, and rho =2 × 10 3 kg/m 3 ；
S4: the cloud server is matched with the database, the initial process flow and the process parameter data are set, the process flow is feeding → returning → extruding → pressure relief → washing → extruding → washing → pressure relief → washing → extruding → pressure relief → extruding → air drying, the set process parameter data comprises feeding pressure =0.6MPa, material returning time =5min, extrusion pressure 1.4MPa, extrusion time =5min, pressure relief time =3min, washing pressure =0.7MPa, washing time =8min, air drying pressure 0.8MPa, and air drying time =8min;
s5: the equipment runs for one period, and actual dryness GD of the filter cake is collected r Is 10% and the actual turbidity ZD of the filtrate r 150NTU;
s6: automatically calculating the filter cake dryness difference coefficient K according to a formula GD Coefficient of turbidity difference with filtrate K ZD The formula is as follows: k GD ＝λ(GD r -GD t )/GD r ×100％；K ZD ＝μ(ZD r -ZD t )/ZD r ×100％；
λ =0.45, μ =0.38 in the database;
calculating to obtain K GD ＝11.25％，K ZD ＝33.25％；
S7: selecting the current equipment mode as a filtrate priority mode:
(1) Firstly, according to the turbidity difference coefficient K of the filtrate ZD Optimizing and adjusting the process flow and the process parameters:
wherein K ZD ＝33.25％，25％＜K ZD If the concentration is less than 40%, adjusting the process flow and adding a washing procedure;
the equipment process flow is adjusted as follows: feeding → feeding back → pressing → pressure releasing → washing → pressing → pressure relief → washing → pressing → pressure relief → air drying;
s8: returning to S5 circulation, operating the equipment for a period, and collecting the actual dryness GD of the filter cake r Is 10% and the actual turbidity ZD of the filtrate r Is 90NTU;
s8: automatically calculating the filter cake dryness difference coefficient K according to a formula GD Coefficient of difference between 11.25% and turbidity of filtrate K ZD ＝4.75％；
S7: according to the difference coefficient K of the dryness of the filter cake GD Coefficient of turbidity difference with filtrate K ZD Matching the database, confirming that the process flow and the process parameters do not need to be adjusted, and controlling the system according to the filter cake dryness difference coefficient K GD Optimizing and adjusting the process flow and the process parameters;
(2) According to the filter cake dryness difference coefficient K GD Optimizing and adjusting the process flow and the process parameters:
wherein, K GD ＝11.25％，10％＜K GD Adjusting the process parameters when the air drying time is less than or equal to 20 percent, and adjusting the air drying time t to be t = (1 + xi multiplied by K) GD ) X t ', t' is the air drying time before adjustment;
ξ =0.85 in the database;
calculating to obtain t =8.8min;
adjusting technological parameters of equipment, and adjusting air drying time to 8.8min;
s8: returning to S5 circulation, operating the equipment for a period, and collecting the actual dryness GD of the filter cake r Is 9% and the actual turbidity ZD of the filtrate r Is 90NTU;
s6: automatically calculating the filter cake dryness difference coefficient K according to a formula GD Coefficient of difference between turbidity of 5.6% and turbidity of filtrate K ZD ＝4.75％；
S7: according to the dryness of filter cakeCoefficient of difference K GD Coefficient of turbidity difference with filtrate K ZD And matching the database, confirming that the process flow and the process parameters do not need to be adjusted, and circularly and stably operating the equipment.
Data on the final product obtained: biscuit filter value =9%; filtrate turbidity value =90NTU.
Example 3:
a method for intelligently controlling a filter comprises the following steps:
s1: establishing a material parameter, a filter cake parameter, a filtrate parameter, a process flow and a process parameter database; same as in example 1.
S2: setting a Filter cake target dryness GD t Is 5%;
s3: collecting material parameters, wherein the collected material parameters are PH =7, T =30 ℃, ZD =1200NTU, and rho =2 × 10 3 kg/m 3 ；
S4: the cloud server is matched with a database, initial process flow and process parameter data are set, the set process flow is feeding → returning → extrusion → pressure relief → washing → extrusion → pressure relief → air drying, the set process parameter data are feeding pressure =0.6MPa, returning time =5min, extrusion pressure 1.0MPa, extrusion time =5min, pressure relief time =3min, washing pressure =0.7MPa, washing time =5min, air drying pressure 1.0MPa and air drying time =5min;
s5: the equipment runs for one period, and actual dryness GD of the filter cake is collected r Is 10% and the actual turbidity ZD of the filtrate r Is 350NTU;
s6: automatically calculating the filter cake dryness difference coefficient K according to a formula GD Coefficient of turbidity difference with filtrate K ZD The formula is as follows: k is GD ＝λ(GD r -GD t )/GD r ×100％；K ZD ＝μ(ZD r -ZD t )/ZD r ×100％；
λ =0.3, μ =0.5 in the database;
calculating to obtain K GD ＝30％，K ZD No data;
s7: selecting a current device mode as filterCake mode, adjustment of process flow and process parameters without taking into account the turbidity difference coefficient K of the filtrate ZD ；
According to the filter cake dryness difference coefficient K GD Optimizing and adjusting the process flow and the process parameters:
wherein, K GD ＝30％，20％＜K GD If the pressure is less than 40 percent, adjusting the process parameters, and adjusting the extrusion pressure P to be P = (1 + zeta multiplied by K) GD ) X P ', P' is the extrusion pressure before adjustment;
ζ =0.45 in the database;
calculating to obtain P =1.14MPa;
adjusting the technological parameters of the equipment, and adjusting the extrusion pressure to 1.14MPa;
s8: returning to S5 circulation, operating the equipment for a period, and collecting the actual dryness GD of the filter cake r Is 6 percent;
s6: automatically calculating the dryness difference coefficient K of the filter cake according to a formula GD ＝6％；
S7: according to the difference coefficient K of the dryness of the filter cake GD Coefficient of turbidity difference with filtrate K ZD And matching the database, confirming that the process flow and the process parameters do not need to be adjusted, and circularly and stably operating the equipment.
Data on the final product obtained: biscuit filter number =6%.
Example 4:
s1: establishing a material parameter, a filter cake parameter, a filtrate parameter, a process flow and a process parameter database;
s2: setting a target turbidity ZD of the filtrate t Is 80NTU;
s3: collecting material parameters, wherein the collected material parameters are PH =7, T =40 ℃, ZD =1000NTU, rho =1.5 × 10 3 kg/m 3 ；
S4: the cloud server is matched with a database, initial process flow and process parameter data are set, the set process flow is feeding → material returning → extrusion → pressure relief → washing → extrusion → pressure relief → air drying, and the set process parameter data are feeding pressure =0.7MPa, material returning time =5min, extrusion pressure 1.0MPa, extrusion time =4min, pressure relief time =2.5min, washing pressure =0.8MPa, washing time =5min, air drying pressure 1.0MPa and air drying time =4min;
s5: the equipment runs for a period, and the actual dryness GD of the filter cake is collected r 15% and the actual turbidity ZD of the filtrate r 120NTU;
s6: automatically calculating the filter cake dryness difference coefficient K according to a formula GD Coefficient of turbidity difference with filtrate K ZD The formula is as follows: k GD ＝λ(GD r -GD t )/GD r ×100％；K ZD ＝μ(ZD r -ZD t )/ZD r ×100％；
λ =0.3, μ =0.35 in the database;
calculating to obtain K GD No data, K ZD ＝17.5％；
S7: selecting the current equipment mode as a filtrate mode, and adjusting the process flow and the process parameters without considering the turbidity difference coefficient K of the filter cake GD ：
According to the turbidity difference coefficient K of the filtrate ZD Optimizing and adjusting the process flow and the process parameters:
wherein, K ZD ＝17.5％，10％＜K ZD Less than or equal to 25 percent, adjusting the technological parameters, and adjusting the extrusion pressure P to be P = (1 + zeta multiplied by K) ZD )×P；
ζ =0.52 in the database;
calculating to obtain P =1.09MPa;
adjusting the technological parameters of the equipment, and adjusting the extrusion pressure to 1.09MPa;
s8: returning to S5 circulation, operating the equipment for a period, and collecting the actual turbidity ZD of the filtrate r Is 90NTU;
s6: automatically calculating the turbidity difference coefficient K of the filtrate according to a formula ZD ＝4.38％；
S7: according to the difference coefficient K of the dryness of the filter cake GD Coefficient of turbidity difference K from filtrate ZD And matching the database, confirming that the process flow and the process parameters do not need to be adjusted, and circularly and stably operating the equipment.
Data on the final product obtained: filtrate turbidity value =90NTU.
In summary, the method for intelligently controlling the filter can be applied to materials with different batches and different parameters, and can select a proper process flow and process parameters according to the different parameters of the materials, and continuously detect the dryness and turbidity of the filter cake in the operation process to optimize the process flow and process parameters, so that the equipment is always in the optimal operation state, and the product quality is greatly improved. And calculating the filter cake dryness difference coefficient K by applying a scientific formula GD Coefficient of turbidity difference with filtrate K ZD According to K GD 、K ZD And the current equipment mode optimizes and adjusts the process flow and the process parameters, thereby further improving the product quality.
It is to be understood that the present invention has been described with reference to certain embodiments, and that various changes in the features and embodiments, or equivalent substitutions may be made therein by those skilled in the art without departing from the spirit and scope of the invention. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the invention without departing from the essential scope thereof. Therefore, it is intended that the invention not be limited to the particular embodiment disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.

Claims (1)

1. A method for intelligently controlling a filter is characterized by comprising the following steps:
s1: establishing a material parameter, a filter cake parameter, a filtrate parameter, a process flow and a process parameter database;
s2: setting a Filter cake target dryness GD t And the filtrate target turbidity ZD t ；
S3: collecting material parameters;
s4: the cloud server is matched with the database, and an initial process flow and process parameter data are set;
s5: the equipment runs for one period, and actual dryness GD of the filter cake is collected r And the actual turbidity ZD of the filtrate r ；
S6: comparative calculation of Filter cake practiceDryness GD (GD) r And filter cake target dryness GD t The filter cake dryness difference coefficient K GD Actual turbidity ZD of the filtrate r And the filtrate target turbidity ZD t Turbidity difference coefficient K of filtrate ZD ；
S7: according to the dryness difference coefficient K of the filter cake GD Coefficient of turbidity difference with filtrate K ZD Matching the database, and optimizing and adjusting the process flow and the process parameter data; wherein the filter cake dryness difference coefficient K GD Coefficient of turbidity difference with filtrate K ZD The calculation method comprises the following steps:
K GD ＝λ(GD r -GD t )/GD r ×100％；
K ZD ＝μ(ZD r -ZD t )/ZD r ×100％；
in the formula, lambda and mu are parameters in a database, wherein lambda is a filter cake dryness difference coefficient parameter determined according to the material filtering difficulty; mu is a filtrate turbidity difference coefficient parameter determined according to the material filtration difficulty; lambda is more than 0 and less than or equal to 1, mu is more than 0 and less than or equal to 1;
the equipment mode comprises a filter cake mode, a filtrate mode, a filter cake priority mode and a filtrate priority mode, and the equipment mode is selected; the method for optimizing and adjusting the process flow and the process parameters according to the currently selected equipment mode comprises the following steps:
in the filter cake mode, the turbidity difference coefficient K of the filtrate is not considered when the process flow and the process parameters are adjusted ZD ；
In the filtrate mode, the turbidity difference coefficient K of the filter cake is not considered when the process flow and the process parameters are adjusted GD ；
The filter cake is in a preferential mode according to K GD Adjusting the process flow and process parameters until the dryness of the filter cake is qualified, and then according to K ZD Adjusting the process flow and the process parameters to enable the turbidity of the filtrate to be close to the target turbidity;
the filtrate priority mode is based on K ZD Adjusting the process flow and process parameters until the turbidity of the filtrate is qualified, and then according to K GD Adjusting the process flow and the process parameters to lead the dryness of the filter cake to be close to the target dryness;
s8: returning to S5 for circulation;
wherein, according to the filter cake dryness difference coefficient K GD The method for optimizing and adjusting the process flow and the process parameters comprises the following steps:
when K is GD When the content is more than or equal to 40 percent, the process flow is adjusted, and a primary extrusion process is added;
when 20% < K GD If the pressure is less than 40 percent, adjusting the process parameters and the extrusion pressure P to be P = (1 + zeta multiplied by K) GD ) P ', P' is the extrusion pressure before adjustment;
when 10% < K GD When the content is less than or equal to 20 percent, adjusting the process parameters, and adjusting the air drying time t to t = (1 + xi multiplied by K) GD ) X t ', t' is the air drying time before adjustment;
when K is GD When the content is less than or equal to 10 percent, the process is not adjusted;
the zeta is a parameter in a database and is a process parameter adjustment coefficient determined according to the characteristic of the difficulty degree of filtering filtrate of the material, and zeta is more than 0 and less than or equal to 1;
xi is a parameter in a database, and is a process parameter adjustment coefficient determined according to the characteristic of the difficulty degree of a material filter cake, wherein xi is more than 0 and less than or equal to 1;
wherein, according to the turbidity difference coefficient K of the filtrate ZD The method for optimizing and adjusting the process flow and the process parameters comprises the following steps:
when K is ZD When the content is more than or equal to 40 percent, the process flow is adjusted, and a primary extrusion process is added;
when 25% < K ZD If the concentration is less than 40%, adjusting the process flow and adding a washing procedure;
when 10% < K ZD When the content is less than or equal to 25 percent, adjusting the process parameters, and adjusting the extrusion pressure P to be P = (1 + zeta multiplied by K) ZD ) X P ', P' is the extrusion pressure before adjustment;
when K is ZD When the content is less than or equal to 10 percent, the process is not adjusted;
zeta is a parameter in a database and is a process parameter adjustment coefficient determined according to the characteristic of the difficulty degree of filtering filtrate of the material, and zeta is greater than 0 and less than or equal to 1.
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