CN114573120A - Multivariable control method, device and system for coal chemical industry grey water granulation and hardness removal - Google Patents
Multivariable control method, device and system for coal chemical industry grey water granulation and hardness removal Download PDFInfo
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Abstract
The invention discloses a multivariable control method, a device and a system for coal chemical industry grey water granulation and hardness removal, which relate to the technical field of regulation or control systems and comprise the following steps: obtaining the calcium and magnesium ion concentration, the pH value and the total carbon concentration of inlet water and outlet water in the reactor to obtain a prediction standard value of a reaction parameter; revising a predicted standard value according to the electromotive potential, the crystallized sludge concentration and the crystallized sludge liquid level after the chemical reaction to obtain an actual standard value by taking the added seed crystal as a target to increase the speed fastest after adsorbing the crystallized product; and obtaining ion concentration deviation according to the reaction parameters and the actual standard value at the current moment so as to feed back and adjust the water inlet flow rate of the grey water and the deamination synthesis gas washing water, the seed crystal adding speed and the discharging speed of the seed crystal after adsorbing the crystallization product. The method realizes the breakthrough of induced granulation under the conditions of high hardness and high suspended matters of the circulating water of the grey water, and solves the blank of the application of the granulation technology for inducing hardness removal of the circulating water of the grey water with higher impurity content in the coal chemical industry.
Description
Technical Field
The invention relates to the technical field of adjusting or controlling systems, in particular to a multivariable control method, a device and a system for coal chemical industry grey water granulation and hardness removal.
Background
The grey water circulating water with high impurity content in the coal chemical industry field is different from a conventional power plant circulating water hardness removal system, the hardness of the power plant circulating water is derived from calcium and magnesium ions carried by supplemented tap water, and the hardness of the grey water circulating water in the coal chemical industry field is derived from not only the calcium and magnesium ions carried by the supplemented tap water, but also more importantly from the calcium and magnesium ions carried in gasified coal in a coal gasification process, so that the amount of the grey water circulating water is far greater than the hardness of the conventional circulating water system.
The existing chemical crystallization circulating granulation fluidized bed softening technology is mainly applied to softening water quality, the main application range is power plant circulating water, the process is fixed in a certain parameter state at present, the volume of a reactor is designed, commodity chemical agents of sodium carbonate, sodium hydroxide and sulfuric acid are added according to fixed proportion concentration, the flow of a circulating pump and a water inlet pump in the reactor are also fixed and selected, and variable control is not set.
In the actual operation process, the hardness of the inlet water is always fluctuated within a certain range, so that the addition amount of the technology is 110-120% in order to obtain higher removal efficiency, and after the reaction is finished, in order to ensure that the sodium carbonate solution which is not fully reacted enters a subsequent circulating system to cause the scaling of the pipe wall, a primary sulfuric acid neutralization process is added.
Therefore, the existing coal chemical industry grey water hardness removal process design is fixed parameters, the fixed parameter process design is a fixed and unchangeable operation mode designed by the fixed parameter process on the basis of wasting 10% -20% of commodity chemical agents, the process cannot adapt to the large fluctuation water quality, and the self-adaptive adjustment of the dosage and the self-adaptive adjustment of the grey water inflow according to the fluctuation of the water quality parameters can not be realized.
Disclosure of Invention
In order to solve the problems, the invention provides a multivariable control method, a device and a system for the hardness removal of the ash water granulation in the coal chemical industry, which realize the breakthrough of induced granulation under the conditions of high hardness and high suspended matters of the ash water circulating water by an induced hardness removal granulation accurate monitoring technology under the intelligent control of multivariable parameters, and solve the blank of the application of the ash water circulating water induced hardness removal granulation technology with high impurity content in the coal chemical industry.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the invention provides a multivariable control method for coal chemical industry grey water granulation and hardness removal, which comprises the following steps:
acquiring the calcium and magnesium ion concentration, the pH value and the total carbon concentration of inlet water and outlet water in a reactor, and fitting a reaction trend curve according to a regression model to obtain a prediction standard value of a reaction parameter; the inlet water is grey water containing calcium and magnesium ions and deamination synthesis gas washing water containing sodium carbonate, the grey water and the deamination synthesis gas washing water are subjected to chemical reaction in a reactor to obtain a crystallization product, and the outlet water is the grey water after hardness removal;
revising a predicted standard value according to the electric potential, the crystallized sludge concentration and the crystallized sludge liquid level in the reactor after the chemical reaction to obtain an actual standard value by taking the added seed crystal as a target with the fastest increase speed after adsorbing a crystallized product;
and obtaining ion concentration deviation according to the reaction parameters and the actual standard value at the current moment, and adjusting the water inlet flow rate of the grey water and the deamination synthesis gas washing water, the seed crystal adding speed and the discharging speed of the seed crystal after adsorbing the crystallization product according to the ion concentration deviation.
In an alternative embodiment, the electromotive potential reflects the particle volume of the crystallized product, the crystallized sludge concentration reflects the concentration of the crystallized product, the crystallized sludge level reflects the degree of coincidence of a sludge layer produced by the crystallized product with a seed crystal suspension layer, and after the seed crystal adsorbs the crystallized product, the seed crystal increases in volume and settles to the bottom of the reactor to be discharged after reaching a certain weight.
As an alternative embodiment, the regression model adopts a generalized regression neural network, the generalized regression neural network is trained based on the historical reaction data in the reactor, the training data are the historical calcium and magnesium ion concentration, pH value and total carbon concentration of inlet water and outlet water, and the historical electromotive potential, the crystallized sludge concentration and the crystallized sludge liquid level, and the reaction trend curve fitted by the trained generalized regression neural network meets the target value, so as to obtain the predicted standard value and the revised actual standard value of the reaction parameter.
In a second aspect, the present invention provides a multivariable control device for coal chemical industry grey water granulation and hardness removal, comprising:
the prediction module is configured to obtain the calcium and magnesium ion concentration, the pH value and the total carbon concentration of inlet water and outlet water in the reactor, and fit a reaction trend curve according to a regression model to obtain a prediction standard value of a reaction parameter; the inlet water is grey water containing calcium and magnesium ions and deamination synthesis gas washing water containing sodium carbonate, the grey water and the deamination synthesis gas washing water are subjected to chemical reaction in a reactor to obtain a crystallization product, and the outlet water is the grey water after hardness removal;
the revising module is configured to revise the predicted standard value according to the electric potential, the crystallized sludge concentration and the crystallized sludge liquid level in the reactor after the chemical reaction to obtain an actual standard value by taking the added crystal seeds as a target with the fastest increase speed after adsorbing the crystallized products;
and the adjusting module is configured to obtain an ion concentration deviation according to the reaction parameter and the actual standard value at the current moment, and feed back and adjust the water inlet flow, the seed crystal adding speed and the discharging speed of the seed crystal after the seed crystal adsorbs the crystallization product according to the ion concentration deviation.
In a third aspect, the present invention provides a multivariable control system for coal chemical industry grey water granulation and hardness removal, comprising: a reactor, a seed crystal feeding device, a flow regulating and executing mechanism and the multivariable control device in the second aspect; the multivariable control device adopts the multivariable control method of the first aspect to control and adjust the water inlet flow of the flow adjusting actuating mechanism, the seed crystal feeding speed of the seed crystal feeding device and the discharging speed of the seed crystal after adsorbing the crystallization product according to the calcium-magnesium ion concentration, the pH value and the total carbon concentration of inlet water and outlet water in the reactor, and the electric potential, the crystallization sludge concentration and the crystallization sludge liquid level after the chemical reaction.
As an alternative embodiment, the flow regulating actuator comprises a water inlet pump for grey water and a water inlet pump for deaminated syngas scrubbing water; inputting grey water and deamination synthesis gas washing water into a reactor through respective water inlet pumps and carrying out chemical reaction to obtain a crystallization product; and adding the seed crystal through a seed crystal adding device, wrapping the crystallization product on the seed crystal, increasing the volume of the seed crystal, and settling the seed crystal to the bottom of the reactor to be discharged after the volume of the seed crystal is increased to a certain weight.
As an alternative embodiment, the discharge amount is matched to the seed crystal addition amount.
As an alternative embodiment, the calcium and magnesium ion concentration, the pH value and the total carbon concentration of inlet water and outlet water of the reactor, as well as the electromotive potential, the crystallized sludge concentration and the crystallized sludge level after the chemical reaction are detected by arranging a calcium ion sensor, a magnesium ion sensor, a pH sensor, a carbon concentration detection sensor, an alkalinity sensor, a potential sensor, a sludge concentration meter and a sludge level meter.
As an alternative embodiment, the potential sensor detects an electromotive potential to reflect the particle volume of the crystallized product; the sludge concentration meter detects the concentration of crystallized sludge to reflect the concentration of a crystallized product; the sludge level meter detects the liquid level of the crystallized sludge to reflect the contact ratio of a sludge layer and a seed crystal suspension layer generated by a crystallized product.
In an alternative embodiment, the reactor is further provided with a circulating water pump controlled by a frequency converter, and if the rising flow rate of the inflow water flow of the flow regulating actuator does not meet the requirement, the flow is supplemented by the circulating flow of the circulating water pump.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a multivariable control method, a device and a system for coal chemical industry grey water granulation and hardness removal, which realize the breakthrough of induced granulation under the conditions of high hardness and high suspended matters of grey water circulating water by an induced hardness removal granulation accurate monitoring technology under the intelligent control of multivariable parameters, and solve the blank of the application of the grey water circulating water induced hardness removal granulation technology with high impurity content in the coal chemical industry.
The invention provides a multivariable control method, device and system for coal chemical industry ash water granulation hardness removal, which adopts deamination synthesis gas washing water containing sodium carbonate, does not need to purchase commodity sodium carbonate and sodium hydroxide chemical agents, recycles waste water of synthesis gas washing process water after alkaline deamination, greatly improves the cyclic utilization rate of ash water, reduces the discharge capacity of ash water, avoids secondary pollution of calcium carbonate sludge, forms a granular calcium carbonate product convenient for recycling, and realizes carbon fixation and recycling of coal gasification washing water.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a schematic diagram of a multivariable control method for granulation and hardness removal of grey water in coal chemical industry according to embodiment 1 of the present invention;
FIG. 2 is water quality data for 7 days of continuous operation provided in example 3 of the present invention;
figure 3 is a graph of grey water hardness removal provided in example 3 of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and it should be understood that the terms "comprises" and "comprising", and any variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
Example 1
As shown in fig. 1, this embodiment provides a multivariable control method for coal chemical industry grey water granulation and hardness removal, including:
obtaining the calcium and magnesium ion concentration, the pH value and the total carbon concentration of inlet water and outlet water in the reactor, and fitting a reaction trend curve according to a regression model to obtain a prediction standard value of a reaction parameter; the inlet water is grey water containing calcium and magnesium ions and deamination synthesis gas washing water containing sodium carbonate, the grey water and the deamination synthesis gas washing water are subjected to chemical reaction in a reactor to obtain a crystallization product, and the outlet water is the grey water after hardness removal;
revising a predicted standard value according to the electric potential, the crystallized sludge concentration and the crystallized sludge liquid level in the reactor after the chemical reaction to obtain an actual standard value by taking the added seed crystal as a target with the fastest increase speed after adsorbing a crystallized product;
and obtaining ion concentration deviation according to the reaction parameters and the actual standard value at the current moment, and adjusting the water inlet flow rate of the grey water and the deamination synthesis gas washing water, the seed crystal adding speed and the discharging speed of the seed crystal after adsorbing the crystallization product according to the ion concentration deviation.
In this embodiment, the regression model adopts a Generalized Regression Neural Network (GRNN), the generalized regression neural network is trained based on the reaction history data in the reactor, the training data are the calcium and magnesium ion concentration, the pH value and the total carbon concentration of the historical inlet water and outlet water, and after training of a large amount of reaction history data, the reaction trend curve fitted by the regression model is closer to the target value, i.e., the one hundred percent reaction removal rate, so that the predicted standard value of the reaction parameter under the trend can be obtained.
In this embodiment, after the grey water containing calcium and magnesium ions and the deamination syngas washing water containing sodium carbonate are subjected to chemical reaction in the reactor, a crystallization product is obtained, and the crystallization product needs to be discharged, so that not only the proportion of calcium and magnesium ions to sodium carbonate needs to be realized, but also the discharge of the crystallization product needs to be realized. In this embodiment, the crystal seed is added, and the crystallized product is adsorbed on the crystal seed, so that the calcium and magnesium ion reaction product, that is, the calcium carbonate and magnesium carbonate, is crystallized from flocculent fine particles, taking the crystal seed as a core to form spherical particles with gradually increasing volume, and the spherical particles settle to the bottom of the reactor to be discharged after reaching a certain weight, thereby realizing the separation of calcium and magnesium carbonate crystals and the hardness removal of grey water. Thus, in the present embodiment, the prediction standard value needs to be secondarily revised.
Factors affecting the size of the crystalline product are: the water inlet flow rate, the electric potential reflecting the volume of the crystallized product, namely the zeta potential, the crystallized sludge concentration parameter reflecting the concentration of the crystallized product and the crystallized sludge liquid level parameter reflecting the coincidence of the crystallized product and the seed crystal; in this embodiment, the second revision is performed on the reaction parameter indexes of the feed water, such as calcium and magnesium ion concentration, pH value, and total carbon concentration, with the goal that the added seed crystal increases the speed most quickly after adsorbing the crystallized product.
Therefore, the second revision input parameters are: zeta potential (determining the size of crystal particles), crystal sludge concentration (reflecting the crystal particle concentration), and crystal sludge level (ensuring the height coincidence of the crystal particles and the sludge layer of the seed particles).
In this embodiment, the network structure of the generalized regression model may be an existing network structure, and is not limited herein. All variables of the generalized regression model comprise the calcium and magnesium ion concentration, the pH value and the total carbon concentration of inlet water and outlet water, and the zeta potential, the crystallized sludge concentration and the crystallized sludge liquid level after chemical reaction; and (3) constructing a reaction ion concentration model through a generalized regression model, outputting reaction parameter values such as standard inlet water calcium magnesium ion concentration, pH value and total carbon concentration through first-time reaction trend prediction, and outputting reaction parameter values such as standard inlet water calcium magnesium ion concentration, pH value and total carbon concentration, seed crystal adding speed and discharging speed of the seed crystal after adsorbing a crystallization product through second-time parameter revision.
In this embodiment, an ion concentration deviation is obtained according to the reaction parameter and the actual standard value at the current time, and a fuzzy cerebellar model neural network (FCMAC) is adopted to obtain a regulation and control measure according to the ion concentration deviation.
The cerebellum model joint controller (CMAC) is a neural network based on local learning, has certain generalization capability, has better nonlinear approximation capability than other neural networks, and is particularly suitable for the optimization control of a system with a complex structure and serious nonlinearity. However, since CMAC is a method of fitting a nonlinear hyperplane with a piecewise hyperplane, the approximated reciprocal cannot be learned and accuracy is not high. Therefore, the FCMAC is adopted in the embodiment, and the fuzzy system is introduced into the cerebellum model joint controller by the FCMAC, so that the defects of the cerebellum model joint controller are overcome, and the self-learning capability of the model is improved.
In this embodiment, the input parameter of the FCMAC is an ion concentration deviation, and a gaussian membership function is used as a fuzzification variable to fuzzify the input parameter, that is, a plurality of subsets of control measure intervals are divided according to the ion concentration deviation value. After fuzzification, FCMAC outputyComprises the following steps:
wherein the content of the first and second substances,a k is as followskThe interval of the regulation and control measures is arranged,r k is as followskAnd K is the total number of the regulation and control measure intervals.
In this embodiment, the FCMAC training process may be performed by using the existing training means; for example, the FCMAC is trained according to the joint intensity function, the central value of the Gaussian membership function and the value of the width function, and the error value of the output value and the expected value is used
And adjusting the weight value of the FCMAC. Error value
Comprises the following steps:
wherein, the first and the second end of the pipe are connected with each other,
in order to be the desired value,yis the output value.
In this embodiment, a fuzzy cerebellar model neural network is adopted according to the ion concentration deviation to obtain a regulation parameter so as to regulate the water inlet flow rate, the seed crystal feeding speed and the discharge speed of the deamination synthesis gas washing water containing calcium and magnesium ions and sodium carbonate after the seed crystal adsorbs a crystallization product, so that the deviation value of the ion concentration of the inlet water and the outlet water in the reactor reaches a reasonable range, and the automatic and accurate control of the seed crystal feeding and the discharge is realized.
In this embodiment, the water inlet flow rates of the grey water containing calcium and magnesium ions and the deamination synthesis gas washing water containing sodium carbonate are controlled by the frequency converter to control the flow rates, so as to realize the chemical reaction of the grey water and the deamination synthesis gas washing water under the reaction conditions. Wherein, the pH value is a reaction condition, the crystallization can be carried out only when the pH =7.5-8.5, and the reaction effect is greatly reduced if the pH value is less than 7, so in order to maintain the pH value, the sufficient amount of the deamination synthesis gas washing water needs to be ensured, and the deamination synthesis gas washing water can be supplemented by an alkaline liquid pump if necessary. If the rising flow rate formed by the sum of the inlet water flows of the grey water and the deamination synthesis gas washing water does not meet the condition, the requirement of the flow rate is achieved through the circulating flow rate of a circulating pump of the reactor.
Example 2
The embodiment provides a multivariable controlling means that coal industry buck granulation removes hardness, includes:
the prediction module is configured to obtain the calcium and magnesium ion concentration, the pH value and the total carbon concentration of inlet water and outlet water in the reactor, and fit a reaction trend curve according to a regression model to obtain a prediction standard value of a reaction parameter; the inlet water is grey water containing calcium and magnesium ions and deamination synthesis gas washing water containing sodium carbonate, the grey water and the deamination synthesis gas washing water are subjected to chemical reaction in a reactor to obtain a crystallization product, and the outlet water is the grey water after hardness removal;
the revising module is configured to revise the predicted standard value according to the electric potential, the crystallized sludge concentration and the crystallized sludge liquid level in the reactor after the chemical reaction to obtain an actual standard value by taking the added crystal seeds as a target with the fastest increase speed after adsorbing the crystallized products;
and the adjusting module is configured to obtain an ion concentration deviation according to the reaction parameters and the actual standard value at the current moment, and feed back and adjust the water inlet flow, the seed crystal adding speed and the discharging speed of the seed crystal after the seed crystal adsorbs the crystallization product according to the ion concentration deviation.
It should be noted that the modules correspond to the steps described in embodiment 1, and the modules are the same as the corresponding steps in the implementation examples and application scenarios, but are not limited to the disclosure in embodiment 1. It should be noted that the modules described above as part of a system may be implemented in a computer system such as a set of computer executable instructions.
Example 3
The embodiment provides a multivariable control system that coal industry buck granulation removes hardness, includes: the device comprises a reactor, a crystal seed feeding device, a flow regulating and executing mechanism and a multivariable control device in embodiment 2; the multivariable control device adopts the multivariable control method described in embodiment 1 to control and adjust the water inlet flow of the flow adjusting actuating mechanism, the seed crystal feeding speed of the seed crystal feeding device and the discharging speed of the seed crystal after adsorbing the crystallization product according to the calcium-magnesium ion concentration, the pH value and the total carbon concentration of inlet water and outlet water in the reactor, and the electric potential, the crystallization sludge concentration and the crystallization sludge liquid level after the chemical reaction.
In this embodiment, the flow adjusting actuator comprises a water inlet pump for grey water containing calcium and magnesium ions, and a water inlet pump for deamination synthesis gas washing water containing sodium carbonate; specifically, grey water and deamination synthesis gas washing water are input into a reactor for inducing granulation through respective water inlet pumps, and calcium and magnesium ions in the grey water and deamination synthesis gas washing water containing sodium carbonate chemically react in the reactor to generate crystals; and special natural mineral nucleation seed crystals are added through a seed crystal adding device, and crystallization products are gradually wrapped on the seed crystals, so that the seed crystals are gradually increased and automatically settled to the bottom of the reactor to be discharged after the seed crystals are increased to a certain specific gravity.
In this embodiment, the reactor is provided with various sensors such as a calcium ion sensor, a magnesium ion sensor, a pH sensor, a carbon concentration detection sensor, an alkalinity sensor, a potential sensor, a sludge concentration meter, and a sludge level meter, which are used for detecting the calcium and magnesium ion concentration, the pH value, and the total carbon concentration of the inlet water of the reactor, and the electromotive potential, the crystallized sludge concentration, and the crystallized sludge level after the chemical reaction;
meanwhile, a calcium ion sensor, a magnesium ion sensor, a pH sensor, a carbon concentration detection sensor and an alkalinity sensor are also arranged at the effluent of the reactor so as to detect the calcium and magnesium ion concentration, the pH value and the total carbon concentration of the effluent;
the calcium ion sensor and the magnesium ion sensor are used for feeding back the calcium ion concentration and the magnesium ion concentration of the grey water inlet water, the calcium ion concentration and the magnesium ion concentration of the outlet water in real time on line; detecting the total carbon amount in the deamination synthesis gas washing water through a carbon concentration detection sensor and an alkalinity sensor; feeding back zeta potential through potential sensor signal; the volume and the rising liquid level of the crystallized product are fed back by a sludge concentration meter and a sludge liquid level meter.
In this embodiment, the potentiometric sensor controls the water inflow of the two water inlet pumps of the grey water and the deamination synthesis gas washing water to accurately control the flocculation state of calcium and magnesium ions in the reactor and control the crystal form size of calcium carbonate and magnesium hydroxide crystals.
Chemical reaction crystallization speed in the reactor is monitored through a potential sensor, rising flow speed in the induced crystallization granulation reactor is controlled, a sludge layer generated by a crystallization product is overlapped with an added seed crystal layer, the crystallization product can be wrapped on the seed crystal, the seed crystal is automatically settled after being increased to a certain proportion, the sludge is discharged out of the induced granulation reactor through an automatic blow-down valve, at the moment, a sludge concentration instrument discharges crystals through the automatic control blow-down valve, and the discharge amount is matched with the seed crystal feeding amount.
Wherein, the control signal for inducing the rising flow velocity in the crystallization granulation reactor comes from a sludge concentration meter and a sludge level meter, the sludge level meter monitors the superposition of a sludge layer generated by a crystallization product and an added crystal seed layer, the sludge concentration meter monitors the sludge concentration generated by crystallization, and the granulation growth speed can be accurately controlled by controlling the adding speed of the crystal seed, the water inlet flow and the like.
In this embodiment, the induced granulation reactor is also provided with a circulating water pump controlled by a special frequency converter, and the ascending flow rate in the induced crystallization granulation reactor can also be controlled. If the rising flow rate formed by the sum of the inlet water flows of the grey water and the deamination synthesis gas washing water does not meet the condition, the requirement of the flow rate is met by the circulating flow rate of the circulating pump of the reactor.
In this embodiment, the effluent passes through the temporary storage tank, and a calcium ion sensor, a magnesium ion sensor and a pH sensor are arranged in the temporary storage tank, so as to feed back the ion concentration in the effluent in real time, control the inflow and the reaction condition in the reactor, and realize the purpose of accurate control.
In this example, the grey water containing calcium and magnesium ions and the deaminated syngas washing water containing sodium carbonate are controlled by respective water inlet pump flow rates through an ultrasonic flow meter and a frequency converter.
In this embodiment, a temperature sensor may be further disposed in the reactor, the temperature is a factor affecting crystallization, the embodiment merely monitors the temperature and collects relevant operation data, a crystal growth model under different data can be formed in the operation process, and when the temperature changes, the control conditions can be predictably adjusted in advance, so as to realize accurate control of calcium and magnesium granulation.
In this embodiment, about 80% of calcium and magnesium ions in the high hardness circulating grey water can be removed by the induced granulation reactor, and the effluent is pressurized by a pump and enters a precision filter to be used as a water supply point after being filtered, or continuously enters a grey water circulating system to be used as make-up water.
In the embodiment, the problems of deep hardness removal of grey water and improvement of the water resource recycling rate in the field of coal chemical industry are solved through an induced hardness removal granulation accurate monitoring technology under intelligent control of multivariable parameters, and the treatment problem is solved by comprehensively utilizing a low-concentration sodium carbonate solution (weight concentration: 1.5-2%) remained after deamination treatment of the synthetic gas washing wastewater. The synthesis gas washing water is washed by deionized water filtered by a reverse osmosis membrane, no salt is increased in the synthesis gas washing process, ammonia and carbon dioxide in the synthesis gas are removed in the washing process, the generated wastewater also needs to be further treated after the synthesis gas washing is subjected to an alkali treatment deamination process, and the conventional treatment scheme is a membrane concentration and evaporation crystallization process, so that the investment and treatment cost is huge; in the embodiment, the low-concentration sodium carbonate solution remained after the deamination treatment of the synthetic gas washing wastewater can be directly utilized, concentration is not needed, and carbon dioxide washed by the synthetic gas is converted into calcium carbonate particles, so that the conversion and fixation from sodium carbonate to calcium carbonate are realized.
And (3) experimental verification: the theoretical water ratio of the deamination synthesis gas washing water containing sodium carbonate is 10m3The water quality of the inlet water is shown in the table 1; the designed high hardness circulating grey water influent water quality is shown in table 2; the technical parameters of the induced crystallization granulation fluidized reactor system are shown in tables 3-6, wherein the main equipment parameters of the crystallization granulation fluidized bed are shown in table 3, the parameters of a water inlet compounding device are shown in table 4, the parameters of a seed crystal feeding device are shown in table 5, and the water outlet parameters of the induced crystallization reactor are shown in table 6;
TABLE 1 Water quality of deamination syngas washing Water containing sodium carbonate
TABLE 2 Ash water influent quality
TABLE 3 main equipment of the fluid bed for crystallization and granulation
Table 4 water intake complex apparatus
TABLE 5 seed crystal feeding device
TABLE 6 induced crystallization reactor effluent
After the method is implemented, as shown in fig. 2, the water quality data of 7 days of continuous operation is shown, specifically the carbonate concentration and pH value change conditions of the deaminated synthesis gas washing water and the effluent water; it can be seen that the concentration of carbonate (TIC) in the effluent is nearly zero, which is the final purpose of ensuring that the pH value of the effluent is within 7-8, taking the fully consumed deaminated synthesis gas washing water as the regulation reference, and accurately regulating and controlling the hardness removal rate of calcium and magnesium ions in the effluent to the maximum extent, wherein the removed calcium and magnesium ions need to form calcium carbonate and magnesium carbonate crystal particles.
FIG. 3 shows a condition of grey water hardness removal; the multivariable intelligent control system can regulate and control the concentration of calcium, magnesium ions and carbonate in two inflowing waters according to GRNN and FCMAC according to data transmitted by different sensors while the concentration of the calcium, magnesium ions and carbonate in the two inflowing waters is changed, the concentration of the calcium and magnesium ions can be reduced to the maximum extent by the induction reactor, calcium carbonate and magnesium carbonate particles with the diameter of 3-5mm can be generated, the subsequent separation is simple, and special filter pressing equipment is not needed.
The amount of sludge with 98 percent of water content discharged by the double alkali method is large, and the load of rear-end sludge dewatering equipment is large; the calcium carbonate particles discharged by granulation and softening in the embodiment are directly solid, sludge treatment is not needed, and the amount of mud pressing wastewater is reduced. The embodiment is applied to the coal chemical industry high hardness grey water circulating water and removes hardness, through intelligent accurate control, can resist the influence of suspended solid to crystallization granulation, can utilize deamination synthesis gas washing water that contains extremely low concentration sodium carbonate solution to carry out dynamic reaction and comprehensive utilization, removes chemical agent commodity sodium carbonate, sodium hydroxide, sulphuric acid, need not sulphuric acid and carries out the secondary and adjust pH value. The granulation softening can adjust the dosage in time along with the change of water quality, and simultaneously can adjust the removal rate of calcium ions according to the requirements of users, thereby meeting the use requirements of users.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (10)
1. A multivariable control method for coal chemical industry grey water granulation and hardness removal is characterized by comprising the following steps:
acquiring the calcium and magnesium ion concentration, the pH value and the total carbon concentration of inlet water and outlet water in a reactor, and fitting a reaction trend curve according to a regression model to obtain a prediction standard value of a reaction parameter; the inlet water is grey water containing calcium and magnesium ions and deamination synthesis gas washing water containing sodium carbonate, the grey water and the deamination synthesis gas washing water are subjected to chemical reaction in a reactor to obtain a crystallization product, and the outlet water is the grey water after hardness removal;
revising a predicted standard value according to the electric potential, the crystallized sludge concentration and the crystallized sludge liquid level in the reactor after the chemical reaction to obtain an actual standard value by taking the added seed crystal as a target with the fastest increase speed after adsorbing a crystallized product;
and obtaining ion concentration deviation according to the reaction parameters and the actual standard value at the current moment, and adjusting the water inlet flow rate of the grey water and the deamination synthesis gas washing water, the seed crystal adding speed and the discharging speed of the seed crystal after adsorbing the crystallization product according to the ion concentration deviation.
2. The multivariable control method for coal chemical industry grey water granulation de-hardening as claimed in claim 1, wherein the electromotive potential reflects the particle volume of the crystallization product, the concentration of the crystallization sludge reflects the concentration of the crystallization product, the liquid level of the crystallization sludge reflects the contact ratio of a sludge layer generated by the crystallization product and a seed crystal suspension layer, and after the seed crystal adsorbs the crystallization product, the seed crystal increases in volume and settles to the bottom of the reactor to be discharged after reaching a certain weight.
3. The multivariable control method for coal chemical industry grey water granulation de-hardening as claimed in claim 1, wherein the regression model adopts a generalized regression neural network, the generalized regression neural network is trained based on reaction history data in a reactor, the training data are historical calcium and magnesium ion concentration, pH value and total carbon concentration of inlet water and outlet water, and historical electromotive potential, crystalline sludge concentration and crystalline sludge liquid level, and a reaction trend curve fitted by the trained generalized regression neural network meets a target value standard value, so that a predicted reaction parameter and a revised actual standard value are obtained.
4. The utility model provides a coal industry grey water granulation removes hard multivariant controlling means which characterized in that includes:
the prediction module is configured to obtain the calcium and magnesium ion concentration, the pH value and the total carbon concentration of inlet water and outlet water in the reactor, and fit a reaction trend curve according to a regression model to obtain a prediction standard value of a reaction parameter; the inlet water is grey water containing calcium and magnesium ions and deamination synthesis gas washing water containing sodium carbonate, the grey water and the deamination synthesis gas washing water are subjected to chemical reaction in a reactor to obtain a crystallization product, and the outlet water is the grey water after hardness removal;
the revising module is configured to revise the predicted standard value according to the electric potential, the crystallized sludge concentration and the crystallized sludge liquid level in the reactor after the chemical reaction to obtain an actual standard value by taking the added crystal seeds as a target with the fastest increase speed after adsorbing the crystallized products;
and the adjusting module is configured to obtain an ion concentration deviation according to the reaction parameters and the actual standard value at the current moment, and feed back and adjust the water inlet flow, the seed crystal adding speed and the discharging speed of the seed crystal after the seed crystal adsorbs the crystallization product according to the ion concentration deviation.
5. A multivariable control system for coal chemical industry grey water granulation and hardness removal is characterized by comprising: the device comprises a reactor, a crystal seed feeding device, a flow adjusting and executing mechanism and the multi-variable control device of claim 4; the multivariable control device adopts the multivariable control method of any one of claims 1 to 3 to control and adjust the water inlet flow of the flow adjusting actuating mechanism, the seed crystal feeding speed of the seed crystal feeding device and the discharging speed of the seed crystal after adsorbing the crystallization product according to the calcium-magnesium ion concentration, the pH value and the total carbon concentration of inlet water and outlet water in the reactor, and the electric potential, the crystallization sludge concentration and the crystallization sludge liquid level after chemical reaction.
6. The multivariable control system for coal chemical industry grey water granulation de-hardening as claimed in claim 5, wherein the flow regulation actuator comprises a grey water inlet pump and a deamination synthesis gas washing water inlet pump; inputting grey water and deamination synthesis gas washing water into a reactor through respective water inlet pumps and carrying out chemical reaction to obtain a crystallization product; and adding the seed crystal through a seed crystal adding device, wrapping the crystallization product on the seed crystal, increasing the volume of the seed crystal, and settling the seed crystal to the bottom of the reactor to be discharged after the volume of the seed crystal is increased to a certain weight.
7. The multivariable control system for coal chemical industry grey water granulation de-hardening as claimed in claim 6, wherein the discharge amount is matched with the seed crystal dosage.
8. The multivariable control system for coal chemical industry grey water granulation and hardness removal as claimed in claim 5, wherein the calcium and magnesium ion concentration, pH value and total carbon concentration of inlet water and outlet water of the reactor, and the electromotive potential, crystallized sludge concentration and crystallized sludge level after chemical reaction are detected by arranging a calcium ion sensor, a magnesium ion sensor, a pH sensor, a carbon concentration detection sensor, an alkalinity sensor, a potential sensor, a sludge concentration meter and a sludge level meter.
9. The multivariable control system for coal chemical industry grey water granulation de-hardening as claimed in claim 8, wherein the electric potential sensor detects an electromotive potential to reflect a particle volume of the crystallization product; the sludge concentration meter detects the concentration of crystallized sludge to reflect the concentration of a crystallized product; the sludge level meter detects the liquid level of the crystallized sludge to reflect the contact ratio of a sludge layer and a seed crystal suspension layer generated by a crystallized product.
10. The multivariable control system for coal chemical industry grey water granulation de-hardening as defined in claim 5, wherein the reactor is further provided with a circulating water pump controlled by a frequency converter, and if the rising flow rate of the inflow water flow of the flow regulating actuator does not meet the requirement, the circulation flow is supplemented by the circulating water pump.
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