CN114779644A - Intelligent control method for filter - Google Patents

Intelligent control method for filter Download PDF

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CN114779644A
CN114779644A CN202210471663.6A CN202210471663A CN114779644A CN 114779644 A CN114779644 A CN 114779644A CN 202210471663 A CN202210471663 A CN 202210471663A CN 114779644 A CN114779644 A CN 114779644A
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filtrate
filter cake
turbidity
dryness
process flow
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CN114779644B (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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    • G—PHYSICS
    • 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
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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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 the 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 loop S5. 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 an intelligent control method for a filter machine.
Background
In recent years, the industrial filter industry is rapidly developed, and filter equipment models from manufacturers are different, and the filter areas are different. However, the process flow and process parameters of the existing filter are mainly to test the parameters of filter cakes and filter liquor by manual sampling inspection and adjust the equipment according to the 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 a diatomite filter and a control method thereof, the filtering device is controlled by a PLC intelligent system, the control system is provided with modules of filtering output selection, filtering cleaning back flush control, filtering state real-time monitoring, filtering function abnormity alarm and the like, a valve core is adjusted through a transmission shaft in a full-automatic five-way valve according to time and pressure difference, the size and the direction of water flow are controlled, a mixed solution of diatomite and water is subjected to membrane pre-coating and membrane hanging on the outer side of a filter core, and abnormal information can be recorded and inquired, so that remote intelligent control is realized. 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 the test of testing of relapseing, than preceding plate and frame filter fault rate greatly reduced. However, the automatic adjustment and optimization of the process flow and the systematization of 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 GDtAnd the filtrate target turbidity ZDt；
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 a period, and the actual dryness GD of the filter cake is collectedrAnd the actual turbidity ZD of the filtrater；
S6: comparative calculation of actual dryness GD of filter cakerAnd filter cake target dryness GDtThe filter cake dryness difference coefficient KGDActual turbidity ZD of the filtraterAnd the filtrate target turbidity ZDtThe turbidity difference coefficient of the filtrate;
s7: according to the dryness difference coefficient K of the filter cakeGDCoefficient of turbidity difference K from filtrateZDMatching the database, and optimizing and adjusting the process flow and the process parameter data;
s8: and returning to the S5 loop.
In S1, a total database is created according to different working conditions, different materials, different filter cakes, and different filtrate requirements, 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 a target filtrate turbidity, an actually measured filtrate turbidity and a 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 to have 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, in the step S7, the process flow and the process parameter data are optimized and adjusted, wherein the filter cake dryness difference coefficient KGDCoefficient of turbidity difference K from filtrateZDThe calculation method comprises the following steps:
KGD＝λ(GDr-GDt)/GDr×100％；
KZD＝μ(ZDr-ZDt)/ZDr×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 filtering 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 dryness difference coefficient K of the filter cakeGDThe method for optimizing and adjusting the process flow and the process parameters comprises the following steps:
when K isGDWhen the content is more than or equal to 40 percent, the process flow is adjusted, and a primary extrusion process is added;
when 20% < KGDWhen the content is less than 40 percent, adjusting the process parameters and the extrusion pressure P to be (1+ zeta multiplied by K)GD) P ', P' is the extrusion pressure before adjustment;
when 10% < KGDWhen the air drying time is less than or equal to 20 percent, the process parameters are adjusted, and the air drying time t is adjusted to be (1+ xi multiplied by K)GD) X t' is the air drying time before adjustment;
when K isGDWhen 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 the material filtering 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 filtrateZDThe method for optimizing and adjusting the process flow and the process parameters comprises the following steps:
when K isZDWhen the content is more than or equal to 40 percent, the process flow is adjusted, and a primary extrusion process is added;
when 25% < KZDWhen the concentration is less than 40%, the process flow is adjusted, and a washing procedure is added;
when 10% < KZDWhen the extrusion pressure is less than or equal to 25 percent, the technological parameters are adjusted, and the extrusion pressure P is adjusted to be (1+ zeta multiplied by K)ZD) P ', P' is the extrusion pressure before adjustment;
when K isZDWhen 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 adjustedZD；
The filter liquor mode does not consider the turbidity difference coefficient K of the filter cake when adjusting the process flow and the process parametersGD；
The filter cake is in a preferential mode according to KGDAdjusting the process flow and process parameters until the dryness of the filter cake is qualified, and then adjusting the process flow and process parameters according to KZDAdjusting 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 KZDAdjusting the process flow and process parameters until the turbidity of the filtrate is qualified, and then adjusting the process flow and process parameters according to KGDAnd adjusting the process flow and the process parameters to enable 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 GDtTarget turbidity of the filtrate ZDtActual dryness of filter cake GDrAnd the actual turbidity ZD of the filtraterSubstituting the formula into calculate the dryness difference coefficient K of the filter cakeGDCoefficient of turbidity difference with filtrate KZDThe method is 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 KGD、KZDOptimizing and adjusting the process flow and the process parameters by 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 of 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 a filter cake and the turbidity of 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 formulaGDCoefficient of turbidity difference with filtrate KZDAccording to KGD、KZDAnd 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 a method for intelligently controlling a filter according to the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with examples, which are set forth to illustrate, but are not to be construed 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 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;
s2: setting a Filter cake target dryness GDtAt 6%, the filtrate target turbidity ZDtIs 50 NTU;
s3: collecting material parameters, wherein the collected material parameters are PH 7, T40 ℃, ZD 1000NTU, rho 1.8 × 103kg/m3；
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 → extrusion → pressure relief → air drying, namely 4 cycles of extrusion pressure relief are carried out, and the set process parameter data are feeding pressure of 0.6MPa, material returning time of 5min, extrusion pressure of 1.2MPa, extrusion time of 6min, pressure relief time of 3min, washing pressure of 0.6MPa, washing time of 5min, air drying pressure of 0.8MPa and air drying time of 5 min;
s5: collecting the actual dryness GD of the filter cake in the period that the equipment is transported to feed out the filter cake and filtraterIs 10% and the actual turbidity ZD of the filtrater120 NTU;
s6: automatically calculating the filter cake dryness difference coefficient K according to a formulaGDCoefficient of turbidity difference with filtrate KZDThe formula is as follows: k isGD＝λ(GDr-GDt)/GDr×100％；KZD＝μ(ZDr-ZDt)/ZDr×100％；
λ ═ 0.35, μ ═ 0.3 in the database;
calculating to obtain KGD＝23.3％，KZD＝42％；
S7: selecting the current equipment mode as a filter cake priority mode:
(1) firstly, according to the filter cake dryness difference coefficient KGDOptimizing and adjusting the process flow and the process parameters:
wherein, KGD＝23.3％，20＜KGDIf the pressure is less than 40 percent, adjusting the process parameters, and adjusting the extrusion pressure P to be (1+ zeta multiplied by K)GD) X P ', P' is the extrusion pressure before adjustment;
ζ is 0.65 in the database;
calculating to obtain P-0.8;
adjusting the technological parameters of the equipment, and adjusting the extrusion pressure to 0.8 MPa;
s8: returning to S5 circulation, operating the equipment for a period, and collecting GD of the actual dryness of the filter cakerIs 7% and the actual turbidity ZD of the filtraterIs 95 NTU;
s6: automatically calculating the filter cake dryness difference coefficient K according to a formulaGD5.8% and the turbidity difference coefficient of the filtrate KZD＝27％；
S7: according to the dryness difference coefficient K of the filter cakeGDCoefficient of turbidity difference with filtrate KZDMatching the database, confirming that the process flow and the process parameters do not need to be adjusted, and controlling the system according to the turbidity difference coefficient K of the filtrateZDOptimizing and adjusting the process flow and the process parameters;
(2) according to the turbidity difference coefficient K of the filtrateZDOptimizing and adjusting the process flow and the process parameters:
wherein, KZD＝27％，25％＜KZDLess than 40%, the process streamAdjusting the process, and adding a washing process;
the technological process of the equipment is adjusted as follows: feeding → returning → pressing → pressure release → washing → pressing → washing → pressing → air drying;
s8: returning to S5 circulation, operating the equipment for a period, and collecting GD of the actual dryness of the filter cakerIs 7% and the actual turbidity ZD of the filtraterIs 60 NTU;
s6: automatically calculating the filter cake dryness difference coefficient K according to a formulaGD5.8% and the turbidity coefficient of the filtrate KZD＝6％；
S7: according to the dryness difference coefficient K of the filter cakeGDCoefficient of turbidity difference K from filtrateZDAnd 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: the filter cake value is 7%; the filtrate had a turbidity value of 60 NTU.
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 GDtIs 8% and the filtrate target turbidity ZDtIs 80 NTU;
s3: collecting material parameters, wherein the collected material parameters are PH 1, T60 ℃, ZD 1300NTU, rho 2 × 103kg/m3；
S4: the cloud server matching database is used for setting an initial process flow and process parameter data, wherein the set process flow is feeding → material returning → extrusion → pressure relief → washing → extrusion → washing → extrusion → washing → extrusion → air drying, and the set process parameter data are feeding pressure of 0.6MPa, material returning time of 5min, extrusion pressure of 1.4MPa, extrusion time of 5min, pressure relief time of 3min, washing pressure of 0.7MPa, washing time of 8min, air drying pressure of 0.8MPa and air drying time of 8 min;
s5: the equipment runs for a period, and the actual dryness GD of the filter cake is collectedrIs 10% and the actual turbidity ZD of the filtrater150 NTU;
s6: automatically calculating the filter cake dryness difference coefficient K according to a formulaGDCoefficient of turbidity difference K from filtrateZDThe formula is as follows: k isGD＝λ(GDr-GDt)/GDr×100％；KZD＝μ(ZDr-ZDt)/ZDr×100％；
λ ═ 0.45, μ ═ 0.38 in the database;
calculating to obtain KGD＝11.25％，KZD＝33.25％；
S7: selecting the current equipment mode as a filtrate priority mode:
(1) firstly, according to the turbidity difference coefficient K of the filtrateZDOptimizing and adjusting the process flow and the process parameters:
wherein KZD＝33.25％，25％＜KZDIf the concentration is less than 40%, adjusting the process flow and adding a washing procedure;
the technological process of the equipment is adjusted as follows: feeding → returning → pressing → washing → pressing → washing → pressing → air drying;
s8: returning to S5 circulation, operating the equipment for a period, and collecting GD of the actual dryness of the filter cakerIs 10% and the actual turbidity ZD of the filtraterIs 90 NTU;
s8: automatically calculating the dryness difference coefficient K of the filter cake according to a formulaGD11.25% and the turbidity difference coefficient K of the filtrateZD＝4.75％；
S7: according to the difference coefficient K of the dryness of the filter cakeGDCoefficient of turbidity difference with filtrate KZDMatching 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 KGDOptimizing and adjusting the process flow and the process parameters;
(2) according toThe filter cake dryness difference coefficient KGDOptimizing and adjusting the process flow and the process parameters:
wherein, KGD＝11.25％，10％＜KGDAdjusting the technological parameters when the air drying time is less than or equal to 20 percent, and adjusting the air drying time t to be (1+ xi multiplied by K)GD) X t ', t' is the air drying time before adjustment;
xi is 0.85 in the database;
calculating to obtain t which is 8.8 min;
adjusting technological parameters of equipment, and adjusting air drying time to 8.8 min;
s8: returning to S5 circulation, operating the equipment for a period, and collecting GD of the actual dryness of the filter cakerIs 9% and the actual turbidity ZD of the filtraterIs 90 NTU;
s6: automatically calculating the dryness difference coefficient K of the filter cake according to a formulaGD5.6% and the turbidity coefficient of the filtrate KZD＝4.75％；
S7: according to the difference coefficient K of the dryness of the filter cakeGDCoefficient of turbidity difference with filtrate KZDAnd 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: the filter cake value is 9%; the filtrate turbidity value was 90 NTU.
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 GDt5 percent;
s3: collecting material parameters, wherein the collected material parameters are PH 7, T30 ℃, ZD 1200NTU, rho 2 x 103kg/m3；
S4: the cloud server is matched with the database, initial process flow and process parameter data are set, the set process flow is feeding → returning → extrusion → pressure relief → washing → extrusion → 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 5 min;
s5: the equipment runs for a period, and the actual dryness GD of the filter cake is collectedrIs 10% and the actual turbidity ZD of the filtraterIs 350 NTU;
s6: automatically calculating the dryness difference coefficient K of the filter cake according to a formulaGDCoefficient of turbidity difference with filtrate KZDThe formula is as follows: kGD＝λ(GDr-GDt)/GDr×100％；KZD＝μ(ZDr-ZDt)/ZDr×100％；
λ is 0.3 and μ is 0.5 in the database;
calculating to obtain KGD＝30％，KZDNo data;
s7: selecting the current equipment mode as a filter cake mode, and adjusting the process flow and the process parameters without considering the turbidity difference coefficient K of the filtrateZD；
According to the dryness difference coefficient K of the filter cakeGDOptimizing and adjusting the process flow and the process parameters:
wherein, KGD＝30％，20％＜KGDIf the pressure is less than 40 percent, the technological parameters are adjusted, and the extrusion pressure P is adjusted to be (1+ zeta multiplied by K)GD) P ', P' is the extrusion pressure before adjustment;
zeta in the database is 0.45;
calculating to obtain 1.14 MPa;
adjusting technological parameters by equipment, and adjusting the extrusion pressure to 1.14 MPa;
s8: returning to S5 for circulation, operating the equipment for a period, and collecting the actual dryness GD of the filter cakerIs 6 percent;
s6: automatically calculating the filter cake dryness difference coefficient K according to a formulaGD＝6％；
S7: according to the dryness difference coefficient K of the filter cakeGDCoefficient of turbidity difference K from filtrateZDMatching the database, confirming that the technological process and the technological parameters do not need to be adjusted, and ensuring that the equipment is stable in circulationAnd (5) operating constantly.
Data on the final product obtained: the biscuit filtration number was 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 filtratetIs 80 NTU;
s3: collecting material parameters, wherein the collected material parameters are PH 7, T40 ℃, ZD 1000NTU, rho 1.5 × 103kg/m3；
S4: the cloud server is matched with the database, initial process flow and process parameter data are set, the set process flow is feeding → returning → extrusion → pressure relief → washing → extrusion → air drying, the set process parameter data are feeding pressure 0.7MPa, 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 4 min;
s5: the equipment runs for a period, and the actual dryness GD of the filter cake is collectedr15% and the actual turbidity ZD of the filtrater120 NTU;
s6: automatically calculating the filter cake dryness difference coefficient K according to a formulaGDCoefficient of turbidity difference with filtrate KZDThe formula is as follows: kGD＝λ(GDr-GDt)/GDr×100％；KZD＝μ(ZDr-ZDt)/ZDr×100％；
λ is 0.3 and μ is 0.35 in the database;
calculating to obtain KGDNo data, KZD＝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 cakeGD：
According to the turbidity difference coefficient K of the filtrateZDOptimizing and adjusting the process flow and the process parameters:
wherein, KZD＝17.5％，10％＜KZDLess than or equal to 25%, adjusting technological parameters, and adjusting the extrusion pressure P to be (1+ zeta multiplied by K)ZD)×P；
ζ is 0.52 in the database;
calculating to obtain 1.09 MPa;
adjusting technological parameters by equipment, and adjusting the extrusion pressure to 1.09 MPa;
s8: returning to the S5 cycle, operating the equipment for one period, and collecting the actual turbidity ZD of the filtraterIs 90 NTU;
s6: automatically calculating the turbidity difference coefficient K of the filtrate according to a formulaZD＝4.38％；
S7: according to the dryness difference coefficient K of the filter cakeGDCoefficient of turbidity difference with filtrate KZDAnd 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: the filtrate had a turbidity value of 90 NTU.
In conclusion, the method for intelligently controlling the filter can be applied to materials of 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 dryness difference coefficient K of the filter cake by applying a scientific formulaGDCoefficient of turbidity difference K from filtrateZDAccording to KGD、KZDAnd 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 form and details 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 (5)

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 GDtAnd the filtrate target turbidity ZDt；
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 collectedrAnd the actual turbidity ZD of the filtrater；
S6: comparative calculation of actual dryness GD of filter cakerAnd filter cake target dryness GDtFilter cake dryness difference coefficient KGDActual turbidity ZD of the filtraterAnd the filtrate target turbidity ZDtTurbidity difference coefficient K of filtrateZD；
S7: according to the difference coefficient K of the dryness of the filter cakeGDCoefficient of turbidity difference K from filtrateZDMatching the database, and optimizing and adjusting the process flow and the process parameter data;
s8: and returning to the S5 loop.
2. The method of claim 1, wherein the optimization of the process flow and process parameter data in S7 is performed by using a filter cake dryness difference coefficient KGDCoefficient of turbidity difference K from filtrateZDThe calculation method comprises the following steps:
KGD＝λ(GDr-GDt)/GDr×100％；
KZD＝μ(ZDr-ZDt)/ZDr×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 filter liquor turbidity difference coefficient parameter determined according to the material filtering 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.
3. The method of claim 2, wherein the filter cake dryness difference coefficient K is determined according to the filter cake dryness difference coefficientGDThe method for optimizing and adjusting the process flow and the process parameters comprises the following steps:
when K isGDWhen the content is more than or equal to 40 percent, the process flow is adjusted, and a primary extrusion process is added;
when 20% < KGDIf the pressure is less than 40 percent, adjusting the process parameters, and adjusting the extrusion pressure P to be (1+ zeta multiplied by K)GD) X P ', P' is the extrusion pressure before adjustment;
when 10% < KGDWhen the air drying time is less than or equal to 20 percent, the process parameters are adjusted, and the air drying time t is adjusted to be (1+ xi multiplied by K)GD) X t ', t' is the air drying time before adjustment;
when K isGDWhen 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.
4. Method for the intelligent control of a filter according to claim 2, characterised in that it is based on the filtrate turbidity difference coefficient KZDThe method for optimizing and adjusting the process flow and the process parameters comprises the following steps:
when K isZDWhen the content is more than or equal to 40 percent, the process flow is adjusted, and a primary extrusion process is added;
when 25% < KZDIf the concentration is less than 40%, adjusting the process flow and adding a washing procedure;
when 10% < KZDWhen the content is less than or equal to 25 percent, adjusting the process parameters, and adjusting the extrusion pressure P to be (1+ zeta multiplied by K)ZD) P ', P' is the extrusion pressure before adjustment;
when K isZDWhen 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.
5. The method of intelligently controlling a filter machine according to any one of claims 2 to 4, wherein the equipment mode is divided into 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 adjustedZD；
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 adjustedGD；
The filter cake is in a preferential mode according to KGDAdjusting the process flow and process parameters until the dryness of the filter cake is qualified, and then adjusting the process flow and process parameters according to KZDAdjusting 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 KZDAdjusting the process flow and process parameters until the turbidity of the filtrate is qualified, and then adjusting the process flow and process parameters according to KGDAnd adjusting the process flow and the process parameters to enable the dryness of the filter cake to be close to the target dryness.
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