CN117494418A - Intelligent phosphogypsum washing system based on digital twin mechanism - Google Patents
Intelligent phosphogypsum washing system based on digital twin mechanism Download PDFInfo
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- 238000005406 washing Methods 0.000 title claims abstract description 107
- PASHVRUKOFIRIK-UHFFFAOYSA-L calcium sulfate dihydrate Chemical compound O.O.[Ca+2].[O-]S([O-])(=O)=O PASHVRUKOFIRIK-UHFFFAOYSA-L 0.000 title claims abstract description 29
- 230000007246 mechanism Effects 0.000 title claims abstract description 19
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 111
- 230000000694 effects Effects 0.000 claims abstract description 71
- 238000004364 calculation method Methods 0.000 claims abstract description 51
- 238000012545 processing Methods 0.000 claims abstract description 44
- 238000007781 pre-processing Methods 0.000 claims abstract description 26
- 239000002351 wastewater Substances 0.000 claims abstract description 26
- 238000004458 analytical method Methods 0.000 claims abstract description 23
- 239000000126 substance Substances 0.000 claims abstract description 20
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims abstract description 19
- 238000005238 degreasing Methods 0.000 claims abstract description 19
- 229910052698 phosphorus Inorganic materials 0.000 claims abstract description 19
- 239000011574 phosphorus Substances 0.000 claims abstract description 19
- 238000013500 data storage Methods 0.000 claims abstract description 16
- 238000004090 dissolution Methods 0.000 claims description 58
- 239000002689 soil Substances 0.000 claims description 51
- 239000010865 sewage Substances 0.000 claims description 37
- 239000012528 membrane Substances 0.000 claims description 17
- 238000004062 sedimentation Methods 0.000 claims description 14
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 12
- 239000003814 drug Substances 0.000 claims description 11
- 230000029087 digestion Effects 0.000 claims description 10
- 238000004140 cleaning Methods 0.000 claims description 9
- 238000013178 mathematical model Methods 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 7
- 238000010276 construction Methods 0.000 claims description 6
- 230000017525 heat dissipation Effects 0.000 claims description 6
- 229910052757 nitrogen Inorganic materials 0.000 claims description 6
- 125000001477 organic nitrogen group Chemical group 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 239000010802 sludge Substances 0.000 claims description 6
- 238000012546 transfer Methods 0.000 claims description 6
- 239000000203 mixture Substances 0.000 claims description 5
- 238000003825 pressing Methods 0.000 claims description 5
- 239000002699 waste material Substances 0.000 claims description 5
- 239000007788 liquid Substances 0.000 claims description 3
- 238000001556 precipitation Methods 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 3
- 229910019142 PO4 Inorganic materials 0.000 description 6
- 239000010452 phosphate Substances 0.000 description 6
- NBIIXXVUZAFLBC-UHFFFAOYSA-K phosphate Chemical compound [O-]P([O-])([O-])=O NBIIXXVUZAFLBC-UHFFFAOYSA-K 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 238000011084 recovery Methods 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 3
- 239000010440 gypsum Substances 0.000 description 2
- 229910052602 gypsum Inorganic materials 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 230000035699 permeability Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 238000013480 data collection Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000002686 phosphate fertilizer Substances 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 238000001179 sorption measurement Methods 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
- 238000003756 stirring Methods 0.000 description 1
Classifications
-
- C—CHEMISTRY; METALLURGY
- C01—INORGANIC CHEMISTRY
- C01F—COMPOUNDS OF THE METALS BERYLLIUM, MAGNESIUM, ALUMINIUM, CALCIUM, STRONTIUM, BARIUM, RADIUM, THORIUM, OR OF THE RARE-EARTH METALS
- C01F11/00—Compounds of calcium, strontium, or barium
- C01F11/46—Sulfates
- C01F11/468—Purification of calcium sulfates
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B08—CLEANING
- B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
- B08B13/00—Accessories or details of general applicability for machines or apparatus for cleaning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
Abstract
The invention relates to the field of intelligent manufacturing, and discloses an intelligent phosphogypsum washing system based on a digital twin mechanism, which comprises the following components: the system comprises a data acquisition module, a data preprocessing module, a degreasing processing module, a water body processing module, a phosphating processing module, a comprehensive index calculation module, a water washing effect analysis module and a data storage module, wherein the data acquisition module is used for converting phosphorus chemical wastewater data into a three-dimensional model, the data preprocessing module is used for extracting related parameters of the phosphorus chemical wastewater from the three-dimensional model constructed by the data acquisition module, the degreasing processing module, the water body processing module and the phosphating processing module calculate out related coefficients, the comprehensive index calculation module calculates out a water washing effect comprehensive index according to the related coefficients, the water washing effect analysis module compares the water washing effect comprehensive index with a preset comprehensive threshold value to judge whether the water washing effect reaches the standard, and each group of data of the data storage module is systematically input into a database.
Description
Technical Field
The invention relates to the field of intelligent manufacturing, in particular to an intelligent phosphogypsum washing system based on a digital twin mechanism.
Background
Phosphogypsum is waste in the production process of phosphate fertilizer, contains phosphate and other valuable components, the intelligent phosphogypsum water washing system aims to clean phosphate and other harmful substances from gypsum through an efficient cleaning and separating technology so as to realize recovery of phosphate and recycling of resources, reduce emission of waste and environmental pollution, remove or reduce pollutants in wastewater to a level meeting environmental emission standards through an efficient cleaning and processing technology, protect health of water and soil, reduce influence and risk on the environment, and the intelligent phosphogypsum water washing system can realize remote monitoring on key parameters and equipment states by means of an intelligent monitoring technology and realize remote control and management through cloud computing and Internet of things technology.
However, the conventional phosphogypsum water washing system generally adopts a simple physical washing method, including stirring and spraying washing, and has limited effect, and the phosphate is difficult to completely remove due to strong adsorption in the gypsum, so that the washing rate is low, and the phosphate recovery efficiency is affected; the operation of the traditional system depends on manual experience and manual adjustment, and has the problems of inaccurate operation and difficult parameter control, which can lead to unstable system operation, large cleaning effect and recovery rate fluctuation and increase the difficulty of management and maintenance; the traditional system lacks intelligent monitoring and control means, is difficult to monitor key parameters and operation states in real time, and cannot accurately regulate and control and optimize the system, so that the operation efficiency and quality of the system cannot be effectively improved, and the effect of phosphate recovery is limited.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides an intelligent phosphogypsum water washing system based on a digital twin mechanism, which solves the problems in the prior art.
The invention provides the following technical scheme: an intelligent phosphogypsum washing system based on a digital twin mechanism, comprising: the device comprises a data acquisition module, a data preprocessing module, a degreasing processing module, a water body processing module, a phosphating processing module, a comprehensive index calculation module, a water washing effect analysis module and a data storage module;
the data acquisition module is used for converting the phosphorus chemical wastewater data into a three-dimensional model, the data acquisition module comprises a data acquisition unit, a data uploading unit and a three-dimensional model construction unit, the data acquisition unit is used for acquiring the data of the phosphorus chemical wastewater by using acquisition equipment, the data uploading unit is used for receiving the phosphorus chemical wastewater data acquired by the data acquisition unit, and the three-dimensional model construction unit is used for constructing a three-dimensional model based on the phosphorus chemical wastewater data in the data uploading unit;
the data preprocessing module is used for extracting relevant parameters of the phosphorus chemical wastewater from the three-dimensional model constructed by the data acquisition module and preprocessing the relevant parameters, wherein the relevant parameters comprise a wastewater dissolution parameter, a wastewater quality parameter and a surface film density parameter;
the degreasing processing module is used for calculating a dirt dissolution coefficient through a degreasing calculation mathematical model based on the dirt dissolution parameters obtained after the processing of the data preprocessing module, and transmitting the dirt dissolution coefficient to the comprehensive index calculation module;
the water body processing module is used for calculating a water quality coefficient through a water body processing mathematical model based on the sewage quality parameters obtained after the data preprocessing module is used for processing, and transmitting the water quality coefficient to the comprehensive index calculation module;
the phosphating module is used for calculating a film density coefficient through a phosphating mathematical model based on the surface film density parameter obtained after the data preprocessing module is used for processing, and transmitting the film density coefficient to the comprehensive index calculation module;
the comprehensive index calculation module is used for calculating a comprehensive index of the water washing effect based on the dirt dissolution coefficient, the water quality coefficient and the membrane density coefficient, and transmitting the calculated comprehensive index of the water washing effect to the water washing effect analysis module;
the washing effect analysis module is used for comparing the washing effect comprehensive index with a preset comprehensive threshold value based on the washing effect comprehensive index calculated by the comprehensive index calculation module, judging whether the washing effect reaches the standard or not, and transmitting the judgment result to the data storage module;
the data storage module systematically records each group of data into a database based on the judgment result obtained by the analysis of the water washing effect analysis module, and marks the corresponding judgment result in each group of data.
Preferably, the acquisition equipment utilized by the data acquisition unit in the data acquisition module comprises a PH meter, a flowmeter, a liquid level meter, a mud level meter, a conductivity meter and an on-line monitor.
Preferably, the sewage dissolution parameters in the data preprocessing module comprise sewage density, sewage dissolution consumption heat, sewage dissolution heat loss and sewage quality, wherein the sewage dissolution consumption heat comprises a daily input sewage amount, a digestion sewage temperature and an original sewage temperature, the sewage dissolution heat loss comprises a heat dissipation area, a heat transfer coefficient, a digestion sewage temperature and an external temperature of a smart phosphogypsum washing system, the sewage water quality parameters comprise a sewage total nitrogen content, a sewage organic nitrogen content and a sewage pH value, the surface film density parameters comprise a sewage sedimentation ratio, a sewage concentration and a sewage volume index, and the sewage sedimentation ratio comprises a sewage volume after sedimentation and a mixture volume.
Preferably, in the degreasing processing module, the calculating step of the calculated dirt dissolution coefficient is as follows:
step S01: waste dissolving and consuming heat Q 1 The calculation formula of (2) is as follows:wherein Q is 1 Represents the heat consumption of dissolving dirt, v' represents the daily amount of dirt, T D T represents the digestion soil temperature S Representing the raw soil temperature;
step S02: the calculation formula of the heat of solution loss Δq of the soil is: Δq= Σfk (T D -T A ) Wherein DeltaQ represents dirt dissolution heat loss, F represents heat dissipation area of the intelligent phosphogypsum water washing system, K represents heat transfer coefficient, T D T represents the digestion soil temperature A Representing the ambient temperature;
step S03: the calculation formula of the dirt dissolution coefficient is as follows:wherein Rq represents the soil dissolution coefficient, ρ represents the soil density, Q 1 Represents the heat consumed by the dissolution of the soil, Δq represents the heat loss of the dissolution of the soil, and M represents the mass of the soil.
Preferably, in the water treatment module, a calculated formula of the water quality coefficient is:wherein Wt represents a water quality coefficient, w represents the total nitrogen content of the sewage, h represents the organic nitrogen content of the sewage, and q represents the pH value of the sewage.
Preferably, the calculating step of the film density coefficient calculated in the phosphating module is as follows:
step S01: the calculation formula of the sewage sedimentation ratio is as follows:wherein S is k Representing the dirt sedimentation ratio, v k Representing the volume of dirt after precipitation, v z Representing the volume of the mixture;
step S02: the film density coefficient is calculated by the formula:wherein Mo represents a film density coefficient, S k Represents the soil settlement ratio, p represents the soil concentration, and v represents the soil volume index.
Preferably, the calculation formula of the comprehensive index of the water washing effect in the comprehensive index calculation module is as follows: d=k1×rq+k2×wt+k3×mo, where D represents the water washing effect integrated index, rq represents the dirt dissolution coefficient, wt represents the water quality coefficient, mo represents the film density coefficient, and k1, k2, and k3 represent constants.
Preferably, the water washing effect analysis module compares the water washing effect comprehensive index D calculated in the comprehensive index calculation module with a preset water washing standard threshold value delta D, if the water washing effect comprehensive index D is greater than or equal to the preset water washing standard threshold value delta D, the water washing effect is up to standard, if the water washing effect comprehensive index D is less than the preset water washing standard threshold value delta D, the water washing effect is not up to standard, the degreasing treatment module is returned, and the system automatically starts the automatic medicament configuration, the automatic medicament adding amount adjustment, the automatic sludge filter pressing and the automatic membrane device cleaning process until the water washing effect comprehensive index is adjusted to be up to standard.
Preferably, the data storage module automatically records the data required by each calculation, records the corresponding result and systematically generates a visual report.
The invention has the technical effects and advantages that:
the intelligent phosphogypsum water washing system based on the digital twin mechanism is used for realizing accurate control and optimization of a water washing process by means of an advanced automatic technology and an intelligent control system, and the key parameters in the water washing process are monitored and adjusted in real time through a sensor and data acquisition and analysis, so that the stability and efficiency of the water washing system are improved.
Drawings
FIG. 1 is a flow chart of an intelligent phosphogypsum water washing system based on a digital twin mechanism.
Fig. 2 is a block diagram of a data acquisition module.
Detailed Description
The following description of the embodiments of the present invention will be made in detail and with reference to the drawings, and the configurations of the structures described in the following embodiments are merely examples, and the intelligent phosphogypsum water washing system based on the digital twin mechanism according to the present invention is not limited to the configurations described in the following embodiments, but all other embodiments obtained by a person skilled in the art without making any creative effort are within the scope of the present invention.
The invention provides an intelligent phosphogypsum washing system based on a digital twin mechanism, which comprises: the device comprises a data acquisition module, a data preprocessing module, a degreasing processing module, a water body processing module, a phosphating processing module, a comprehensive index calculation module, a water washing effect analysis module and a data storage module;
the data acquisition module is used for converting the phosphorus chemical wastewater data into a three-dimensional model, the data acquisition module comprises a data acquisition unit, a data uploading unit and a three-dimensional model construction unit, the data acquisition unit is used for acquiring the data of the phosphorus chemical wastewater by using acquisition equipment, the data uploading unit is used for receiving the phosphorus chemical wastewater data acquired by the data acquisition unit, and the three-dimensional model construction unit is used for constructing a three-dimensional model based on the phosphorus chemical wastewater data in the data uploading unit;
the data preprocessing module is used for extracting relevant parameters of the phosphorus chemical wastewater from the three-dimensional model constructed by the data acquisition module and preprocessing the relevant parameters, wherein the relevant parameters comprise a wastewater dissolution parameter, a wastewater quality parameter and a surface film density parameter;
the degreasing processing module is used for calculating a dirt dissolution coefficient through a degreasing calculation mathematical model based on the dirt dissolution parameters obtained after the processing of the data preprocessing module, and transmitting the dirt dissolution coefficient to the comprehensive index calculation module;
the water body processing module is used for calculating a water quality coefficient through a water body processing mathematical model based on the sewage quality parameters obtained after the data preprocessing module is used for processing, and transmitting the water quality coefficient to the comprehensive index calculation module;
the phosphating module is used for calculating a film density coefficient through a phosphating mathematical model based on the surface film density parameter obtained after the data preprocessing module is used for processing, and transmitting the film density coefficient to the comprehensive index calculation module;
the comprehensive index calculation module is used for calculating a comprehensive index of the water washing effect based on the dirt dissolution coefficient, the water quality coefficient and the membrane density coefficient, and transmitting the calculated comprehensive index of the water washing effect to the water washing effect analysis module;
the washing effect analysis module is used for comparing the washing effect comprehensive index with a preset comprehensive threshold value based on the washing effect comprehensive index calculated by the comprehensive index calculation module, judging whether the washing effect reaches the standard or not, and transmitting the judgment result to the data storage module;
the data storage module systematically records each group of data into a database based on the judgment result obtained by the analysis of the water washing effect analysis module, and marks the corresponding judgment result in each group of data.
In this embodiment, it should be specifically described that the collection device utilized by the data collection unit in the data acquisition module includes a PH meter, a flow meter, a liquid level meter, a mud level meter, a conductivity meter, and an on-line monitor.
In this embodiment, it should be specifically described that, in the data preprocessing module, the soil dissolution parameters include a soil density, a soil dissolution consumption amount, a soil dissolution heat loss and a soil quality, wherein the soil dissolution consumption amount includes a daily input soil amount, a digested soil temperature and an original soil temperature, the soil dissolution heat loss includes a heat dissipation area of the intelligent phosphogypsum washing system, a heat transfer coefficient, a digested soil temperature and an external temperature, the sewage water quality parameters include a total soil nitrogen content, a soil organic nitrogen content and a soil ph value, and the surface film density parameters include a soil sedimentation ratio, a soil concentration and a soil volume index, wherein the soil sedimentation ratio includes a precipitated soil volume and a mixture volume.
In this embodiment, it should be specifically described that, in the degreasing processing module, the calculated soil dissolution coefficient is calculated as follows:
step S01: waste dissolving and consuming heat Q 1 The calculation formula of (2) is as follows:wherein Q is 1 Represents the heat consumption of dissolving dirt, v' represents the daily amount of dirt, T D T represents the digestion soil temperature S Representing the raw soil temperature;
step S02: the calculation formula of the heat of solution loss Δq of the soil is: Δq= Σfk (T D -T A ) Wherein DeltaQ represents dirt dissolution heat loss, F represents heat dissipation area of the intelligent phosphogypsum water washing system, K represents heat transfer coefficient, T D T represents the digestion soil temperature A Representing the ambient temperature;
step S03: the calculation formula of the dirt dissolution coefficient is as follows:wherein Rq represents the soil dissolution coefficient, ρ represents the soil density, Q 1 Represents the heat consumed by the dissolution of the dirt, Δq represents the heat loss of the dissolution of the dirt, and M represents the mass of the dirt;
step S04: comparing the dirt dissolution coefficient Rq with a preset dirt dissolution threshold value delta Rq, if the dirt dissolution coefficient Rq is larger than or equal to the preset dirt dissolution threshold value delta Rq, enabling the dirt dissolution effect to reach the standard, and if the dirt dissolution coefficient Rq is smaller than the preset dirt dissolution threshold value delta Rq, enabling the system to automatically start the automatic medicament configuration, the automatic medicament adding amount adjustment, the automatic sludge press filtration and the automatic cleaning process of the membrane device.
In this embodiment, it should be specifically described that the water body isIn the processing module, the calculated water quality coefficient has the following calculation formula:wherein Wt represents a water quality coefficient, w represents the total nitrogen content of the sewage, h represents the organic nitrogen content of the sewage, and q represents the pH value of the sewage;
comparing the water quality coefficient Wt with a preset water quality coefficient threshold value delta Wt, if the water quality coefficient Wt is larger than or equal to the preset water quality coefficient threshold value delta Wt, enabling the water quality to reach the standard, and if the water quality coefficient Wt is smaller than the preset water quality coefficient threshold value delta Wt, enabling the system to automatically start the automatic medicament allocation, the automatic medicament adding amount adjustment, the automatic sludge filter pressing and the automatic membrane device cleaning process.
In this embodiment, it should be specifically described that the film density coefficient calculated in the phosphating module is calculated as follows:
step S01: the calculation formula of the sewage sedimentation ratio is as follows:wherein S is k Representing the dirt sedimentation ratio, v k Representing the volume of dirt after precipitation, v z Representing the volume of the mixture;
step S02: the film density coefficient is calculated by the formula:wherein Mo represents a film density coefficient, S k Represents the dirt sedimentation ratio, p represents the dirt concentration, v represents the dirt volume index;
step S03: and comparing the membrane density coefficient Mo with a preset membrane density threshold value delta Mo, if the membrane density coefficient Mo is larger than or equal to the preset membrane density threshold value delta Mo, enabling the membrane density water permeability effect to reach the standard, and if the membrane density coefficient Mo is smaller than the preset membrane density threshold value delta Mo, enabling the membrane density water permeability effect not to reach the standard, automatically starting the automatic medicament allocation, the automatic medicament adding amount adjustment, the automatic sludge filter pressing and the automatic membrane device cleaning process by the system.
In this embodiment, it should be specifically described that a calculation formula of the comprehensive index of the water washing effect in the comprehensive index calculation module is: d=k1×rq+k2×wt+k3×mo, where D represents the water washing effect integrated index, rq represents the dirt dissolution coefficient, wt represents the water quality coefficient, mo represents the film density coefficient, and k1, k2, and k3 represent constants.
In this embodiment, it needs to be specifically described that, the water washing effect analysis module compares the water washing effect comprehensive index D calculated in the comprehensive index calculation module with a preset water washing standard threshold Δd, if the water washing effect comprehensive index D is greater than or equal to the preset water washing standard threshold Δd, the water washing effect is up to standard, if the water washing effect comprehensive index D is less than the preset water washing standard threshold Δd, the water washing effect is not up to standard, the degreasing treatment module is returned, the system automatically starts the automatic configuration of the medicament, the automatic adjustment of the dosage, the automatic filter pressing of the sludge and the automatic cleaning process of the membrane device until the water washing effect comprehensive index is adjusted to reach standard.
In this embodiment, it should be specifically described that the data storage module automatically records the data required by each calculation, records the corresponding result, and systematically generates the visual report.
In this embodiment, it should be specifically explained that the difference between the implementation and the prior art is mainly that the implementation is provided with a data acquisition module, a data preprocessing module, a degreasing processing module, a water body processing module, a phosphating processing module, a comprehensive index calculation module, a water washing effect analysis module, and a data storage module, where the data acquisition module is used to convert the data of the phosphorus chemical wastewater into a three-dimensional model, the data preprocessing module is used to extract relevant parameters of the phosphorus chemical wastewater from the three-dimensional model constructed by the data acquisition module, the relevant coefficients are calculated by the degreasing processing module, the water body processing module and the phosphating processing module, the comprehensive index calculation module calculates the water washing effect comprehensive index according to the relevant coefficients, the water washing effect analysis module compares the water washing effect comprehensive index with a preset comprehensive threshold, and judges whether the water washing effect reaches the standard, and the data storage module systematically enters a database.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. Intelligent phosphogypsum washing system based on digital twin mechanism, which is characterized in that: comprising the following steps: the device comprises a data acquisition module, a data preprocessing module, a degreasing processing module, a water body processing module, a phosphating processing module, a comprehensive index calculation module, a water washing effect analysis module and a data storage module;
the data acquisition module is used for converting the phosphorus chemical wastewater data into a three-dimensional model, the data acquisition module comprises a data acquisition unit, a data uploading unit and a three-dimensional model construction unit, the data acquisition unit is used for acquiring the data of the phosphorus chemical wastewater by using acquisition equipment, the data uploading unit is used for receiving the phosphorus chemical wastewater data acquired by the data acquisition unit, and the three-dimensional model construction unit is used for constructing a three-dimensional model based on the phosphorus chemical wastewater data in the data uploading unit;
the data preprocessing module is used for extracting relevant parameters of the phosphorus chemical wastewater from the three-dimensional model constructed by the data acquisition module and preprocessing the relevant parameters, wherein the relevant parameters comprise a wastewater dissolution parameter, a wastewater quality parameter and a surface film density parameter;
the degreasing processing module is used for calculating a dirt dissolution coefficient through a degreasing calculation mathematical model based on the dirt dissolution parameters obtained after the processing of the data preprocessing module, and transmitting the dirt dissolution coefficient to the comprehensive index calculation module;
the water body processing module is used for calculating a water quality coefficient through a water body processing mathematical model based on the sewage quality parameters obtained after the data preprocessing module is used for processing, and transmitting the water quality coefficient to the comprehensive index calculation module;
the phosphating module is used for calculating a film density coefficient through a phosphating mathematical model based on the surface film density parameter obtained after the data preprocessing module is used for processing, and transmitting the film density coefficient to the comprehensive index calculation module;
the comprehensive index calculation module is used for calculating a comprehensive index of the water washing effect based on the dirt dissolution coefficient, the water quality coefficient and the membrane density coefficient, and transmitting the calculated comprehensive index of the water washing effect to the water washing effect analysis module;
the washing effect analysis module is used for comparing the washing effect comprehensive index with a preset comprehensive threshold value based on the washing effect comprehensive index calculated by the comprehensive index calculation module, judging whether the washing effect reaches the standard or not, and transmitting the judgment result to the data storage module;
the data storage module systematically records each group of data into a database based on the judgment result obtained by the analysis of the water washing effect analysis module, and marks the corresponding judgment result in each group of data.
2. The intelligent phosphogypsum washing system based on the digital twin mechanism, as set forth in claim 1, is characterized in that: the acquisition equipment utilized by the data acquisition unit in the data acquisition module comprises a PH meter, a flowmeter, a liquid level meter, a mud level meter, a conductivity meter and an on-line monitor.
3. The intelligent phosphogypsum washing system based on the digital twin mechanism, as set forth in claim 1, is characterized in that: the data preprocessing module is characterized in that the dirt dissolution parameters in the data preprocessing module comprise dirt density, dirt dissolution consumption heat, dirt dissolution heat loss and dirt quality, wherein the dirt dissolution consumption heat comprises daily input dirt quantity, digestion dirt temperature and original dirt temperature, the dirt dissolution heat loss comprises a heat dissipation area, a heat transfer coefficient, digestion dirt temperature and external temperature of a smart phosphogypsum washing system, the sewage water quality parameters comprise total nitrogen content of dirt, organic nitrogen content of the dirt and pH value of the dirt, the surface film density parameters comprise dirt sedimentation ratio, dirt concentration and dirt volume index, and the dirt sedimentation ratio comprises precipitated dirt volume and mixed body volume.
4. The intelligent phosphogypsum washing system based on the digital twin mechanism, as set forth in claim 1, is characterized in that: in the degreasing processing module, the calculated dirt dissolution coefficient is calculated as follows:
step S01: waste dissolving and consuming heat Q 1 The calculation formula of (2) is as follows:wherein Q is 1 Represents the heat consumption of dissolving dirt, v' represents the daily amount of dirt, T D T represents the digestion soil temperature S Representing the raw soil temperature;
step S02: the calculation formula of the heat of solution loss Δq of the soil is: Δq= Σfk (T D -T A ) Wherein DeltaQ represents dirt dissolution heat loss, F represents heat dissipation area of the intelligent phosphogypsum water washing system, K represents heat transfer coefficient, T D T represents the digestion soil temperature A Representing the ambient temperature;
step S03: the calculation formula of the dirt dissolution coefficient is as follows:wherein Rq represents the soil dissolution coefficient, ρ represents the soil density, Q 1 Represents the heat consumed by the dissolution of the soil, Δq represents the heat loss of the dissolution of the soil, and M represents the mass of the soil.
5. The intelligent phosphogypsum washing system based on the digital twin mechanism, as set forth in claim 1, is characterized in that: in the water treatment module, the calculated water quality coefficient has a calculation formula as follows:wherein Wt represents a water quality coefficient, w represents the total nitrogen content of the sewage, h represents the organic nitrogen content of the sewage, and q represents the pH value of the sewage.
6. The intelligent phosphogypsum washing system based on the digital twin mechanism, as set forth in claim 1, is characterized in that: the film density coefficient calculated in the phosphating module is calculated as follows:
step S01: the calculation formula of the sewage sedimentation ratio is as follows:wherein S is k Representing the dirt sedimentation ratio, v k Representing the volume of dirt after precipitation, v z Representing the volume of the mixture;
step S02: the film density coefficient is calculated by the formula:wherein Mo represents a film density coefficient, S k Represents the soil settlement ratio, p represents the soil concentration, and v represents the soil volume index.
7. The intelligent phosphogypsum washing system based on the digital twin mechanism, as set forth in claim 1, is characterized in that: the calculation formula of the comprehensive index of the water washing effect in the comprehensive index calculation module is as follows: d=k1×rq+k2×wt+k3×mo, where D represents the water washing effect integrated index, rq represents the dirt dissolution coefficient, wt represents the water quality coefficient, mo represents the film density coefficient, and k1, k2, and k3 represent constants.
8. The intelligent phosphogypsum washing system based on the digital twin mechanism, as set forth in claim 1, is characterized in that: the washing effect analysis module compares the washing effect comprehensive index D calculated in the comprehensive index calculation module with a preset washing standard threshold value delta D, if the washing effect comprehensive index D is larger than or equal to the preset washing standard threshold value delta D, the washing effect is up to standard, if the washing effect comprehensive index D is smaller than the preset washing standard threshold value delta D, the washing effect is not up to standard, the degreasing treatment module is returned, and the system automatically starts the automatic medicament configuration, the automatic medicament adding amount adjustment, the automatic sludge filter pressing and the automatic membrane device cleaning process until the washing effect comprehensive index is adjusted to be up to standard.
9. The intelligent phosphogypsum washing system based on the digital twin mechanism, as set forth in claim 1, is characterized in that: the data storage module automatically records the data required by each calculation, records the corresponding result and systematically generates a visual report.
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