CN113946144A - Optimal control system and control method for gypsum dehydration - Google Patents
Optimal control system and control method for gypsum dehydration Download PDFInfo
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- 239000010440 gypsum Substances 0.000 title claims abstract description 176
- 229910052602 gypsum Inorganic materials 0.000 title claims abstract description 176
- 230000018044 dehydration Effects 0.000 title claims abstract description 42
- 238000006297 dehydration reaction Methods 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 title claims abstract description 20
- 239000002002 slurry Substances 0.000 claims description 77
- 238000010521 absorption reaction Methods 0.000 claims description 19
- 238000006243 chemical reaction Methods 0.000 claims description 19
- 238000013178 mathematical model Methods 0.000 claims description 18
- JTJMJGYZQZDUJJ-UHFFFAOYSA-N phencyclidine Chemical class C1CCCCN1C1(C=2C=CC=CC=2)CCCCC1 JTJMJGYZQZDUJJ-UHFFFAOYSA-N 0.000 claims description 18
- 238000007405 data analysis Methods 0.000 claims description 16
- 230000005540 biological transmission Effects 0.000 claims description 15
- 238000006477 desulfuration reaction Methods 0.000 claims description 13
- 230000023556 desulfurization Effects 0.000 claims description 13
- 230000003009 desulfurizing effect Effects 0.000 claims description 12
- 238000005259 measurement Methods 0.000 claims description 12
- 238000004458 analytical method Methods 0.000 claims 1
- 238000001739 density measurement Methods 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 9
- 208000005156 Dehydration Diseases 0.000 description 23
- 230000001276 controlling effect Effects 0.000 description 9
- 239000007787 solid Substances 0.000 description 9
- 230000008859 change Effects 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000012360 testing method Methods 0.000 description 5
- 235000019738 Limestone Nutrition 0.000 description 4
- 230000008901 benefit Effects 0.000 description 4
- 239000006028 limestone Substances 0.000 description 4
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 3
- 239000003546 flue gas Substances 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- OSGAYBCDTDRGGQ-UHFFFAOYSA-L calcium sulfate Chemical compound [Ca+2].[O-]S([O-])(=O)=O OSGAYBCDTDRGGQ-UHFFFAOYSA-L 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000013499 data model Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000007599 discharging Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 239000010802 sludge Substances 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- QAOWNCQODCNURD-UHFFFAOYSA-L Sulfate Chemical compound [O-]S([O-])(=O)=O QAOWNCQODCNURD-UHFFFAOYSA-L 0.000 description 1
- LSNNMFCWUKXFEE-UHFFFAOYSA-N Sulfurous acid Chemical compound OS(O)=O LSNNMFCWUKXFEE-UHFFFAOYSA-N 0.000 description 1
- 238000005299 abrasion Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- GBAOBIBJACZTNA-UHFFFAOYSA-L calcium sulfite Chemical compound [Ca+2].[O-]S([O-])=O GBAOBIBJACZTNA-UHFFFAOYSA-L 0.000 description 1
- 235000010261 calcium sulphite Nutrition 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000000875 corresponding effect Effects 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000002351 wastewater Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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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
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
-
- 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
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/33—Director till display
- G05B2219/33273—DCS distributed, decentralised controlsystem, multiprocessor
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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]
Abstract
The invention discloses an optimal control system and a control method for gypsum dehydration, wherein the system comprises the following steps: the invention reduces the operation amount of personnel, realizes automatic control without human intervention, ensures that the whole system runs more stably and works more stably and reliably, the gypsum dehydration effect is better.
Description
Technical Field
The invention belongs to the technical field of gypsum dehydration, and particularly relates to an optimal control system and method for gypsum dehydration.
Background
Limestone/gypsum wet desulphurization is a flue gas desulphurization technology widely adopted in the world at present. In the modern limestone wet flue gas desulfurization process, the flue gas is washed with limestone slurry containing calcium sulfite and calcium sulfate, and SO is added2And the alkaline substances in the slurry react with the alkaline substances to generate sulfite and sulfate. The solid in the slurry is continuously separated from the slurry and discharged, and the fresh limestone added and the original slurry are circulated back to the absorption tower, SO that the reaction is continuously carried out in the positive direction to continuously remove SO2The function of (1). In the process, the gypsum slurry of the absorption tower is sent to a gypsum hydraulic cyclone station for concentration through a gypsum discharge pump, and the concentrated gypsum slurry enters a vacuum belt dehydrator for dehydration treatment, so that the gypsum slurry can be comprehensively utilized. The gypsum dewatering process includes the steps of discharging gypsum slurry from the absorption tower to a gypsum cyclone through a gypsum discharge pump, separating the gypsum slurry through the cyclone, discharging the slurry with high concentration to a vacuum dewatering belt conveyor through the underflow of the cyclone, and enabling each gypsum discharge pump to correspond to one gypsum cyclone. Because the solid content of the gypsum in each absorption tower is dynamically changed, the input number of the cyclone sub-devices on the cyclone is required to be dynamically changed, so that the output force of the cyclone is dynamically changed, and the downstream vacuum dehydration belt conveyor is required to be subjected to frequency conversion adjustment, so that the thickness of the dehydrated gypsum is controlled. At present, the input or the cut-off of the cyclone is realized by operating a manual valve arranged on the spot, and the frequency conversion control of the vacuum belt conveyor needs remote manual regulation. By using conventionalThe control mode consumes manpower very much, and the instability of a gypsum dewatering system can be caused by carelessness, so that the quality of gypsum is poor, and the cyclone works under overload.
Disclosure of Invention
In order to solve the problems, the invention provides an optimal control system and an optimal control method for gypsum dehydration, which aim to solve the problems that the existing manual control mode for gypsum dehydration consumes manpower, a gypsum dehydration system is easy to be unstable, the quality of gypsum is poor and a cyclone works in an overload mode.
To achieve the above object, the present invention provides an optimal control system for gypsum dewatering, comprising:
the system comprises a desulfurizing tower system, a data acquisition device and a DCS controller, wherein the desulfurizing tower system is connected with the data acquisition device, the data acquisition device is connected with the DCS controller through data transmission equipment, the desulfurizing tower system comprises a desulfurizing absorption tower, a gypsum discharge pump, a cyclone and a vacuum dehydration belt conveyor which are sequentially connected, the data acquisition device comprises a gypsum slurry density measuring device and a remote transmission pressure transmitter which are arranged at the inlet position of the cyclone, the input ends of the gypsum slurry density measuring device and the remote transmission pressure transmitter are respectively connected with the inlet of the cyclone, the output ends of the gypsum slurry density measuring device and the remote transmission pressure transmitter are respectively connected with the DCS controller, a plurality of cyclone bodies are arranged on the cyclone, the plurality of cyclone bodies are respectively connected with the DCS controller through remote control electric valves, and the DCS controller controls the input and the cut-off of the plurality of cyclone bodies through the remote control electric valves, and the rotating speed of the vacuum dehydration belt conveyor is adjusted in a self-adaptive manner according to the input and cut-off number of the rotational flow rotors.
According to an embodiment of the invention, the remote pressure transmitter is used for measuring the real-time working pressure of the cyclone, and transmitting the measured pressure data of the cyclone into the DCS controller.
According to an embodiment of the invention, the gypsum slurry density measuring device is used for measuring the density of the gypsum slurry discharged from the desulfurization absorption tower and transmitting the measured gypsum slurry density measured data to the DCS controller.
According to a specific embodiment of the invention, the DCS controller comprises a data modeling module and a data analysis module which are sequentially connected, and the output end of the data analysis module is respectively connected with a cyclone switching control module and a vacuum belt conveyor frequency conversion control module.
According to a specific embodiment of the invention, the data modeling module is used for establishing an optimal control mathematical model of the cyclone according to the density of the gypsum slurry, the pressure of the cyclone and the empirical coefficient, and calculating the optimal input number of the cyclone based on the optimal control mathematical model, measured data of the density of the gypsum slurry and measured pressure data of the cyclone.
According to an embodiment of the invention, the data modeling module is further configured to establish an optimal gypsum thickness control model according to the density of the gypsum slurry and the optimal input number of the swirlers, and calculate an optimal thickness value of the vacuum dehydrated gypsum based on the optimal gypsum thickness control model.
According to an embodiment of the invention, the data analysis module is used for analyzing and calculating the optimal rotating speed of the vacuum belt conveyor according to the optimal input number of the cyclone and the optimal thickness value of the vacuum dehydrated gypsum.
According to an embodiment of the invention, the cyclone switching control module is used for receiving the cyclone control command sent by the data analysis module and controlling the switching and the cutting of a plurality of cyclones of the cyclone according to the cyclone control command.
According to an embodiment of the invention, the vacuum belt conveyor frequency conversion control module is used for receiving the frequency conversion control instruction sent by the data analysis module and adjusting the working frequency and the rotating speed of the vacuum belt conveyor according to the frequency conversion control instruction.
The invention also provides an optimal control method for gypsum dehydration, which comprises the following steps:
collecting data to be measured, and transmitting the data to be measured to a DCS controller, wherein the data to be measured comprises actual measurement data of density of gypsum slurry and actual measurement data of working pressure of a swirler;
establishing an optimal control mathematical model of the cyclone according to the density of the gypsum slurry, the pressure of the cyclone and the empirical coefficient, and calculating the optimal input number of the cyclone based on the optimal control mathematical model, the collected actual measurement data of the density of the gypsum slurry and the actual measurement data of the working pressure of the cyclone;
establishing a gypsum optimal thickness control model according to the density of the gypsum slurry and the optimal input number of the swirlers, and calculating an optimal gypsum thickness value based on the gypsum optimal thickness control model;
calculating the optimal rotating speed and the optimal working frequency of the vacuum belt conveyor according to the optimal input number of the swirlers and the optimal thickness value of the gypsum;
sending a cyclone control instruction to the cyclone according to the optimal input number of the cyclones, and controlling the input and the cut of the cyclones of the cyclone;
and sending a variable frequency control instruction to the vacuum dewatering belt conveyor according to the optimal rotating speed and the optimal working frequency of the vacuum belt conveyor, and adjusting the rotating speed and the working frequency of the vacuum belt conveyor.
Compared with the prior art, the optimal control system and the optimal control method for gypsum dehydration provided by the invention have the advantages that the density of gypsum slurry of an absorption tower is collected through the set gypsum slurry density measuring device, the working pressure of a swirler is collected through the set remote transmission pressure transmitter, the collected density of the gypsum slurry of the absorption tower and the pressure data of the swirler are transmitted to a DCS controller to establish a mathematical model, the number of the input swirlers is controlled according to the change of the parameters, the pressure of the swirler is controlled, the optimized control of the bottom flow and the concentration of the swirler is further realized, and the purpose of automatic control and adjustment of a vacuum belt conveyor is realized according to the number of the input swirlers and in combination with the data model. In addition, the system changes a cyclone on-site manual valve into a remote control electric valve, the operation and monitoring of a desulfurization centralized control chamber DCS are only performed, the intelligent algorithm is combined to analyze the input and switching of the cyclone of the automatic control gypsum cyclone, the optimal gypsum thickness control is realized by automatically controlling the frequency conversion of the vacuum dehydration belt conveyor, the operation amount of operators is greatly reduced, the intelligent automatic optimization control that the DCS of the desulfurization dehydration system does not need artificial intervention is realized, the whole dehydration system is more stable in operation, the work of the cyclone is more stable and reliable, the gypsum dehydration effect is better, the quality is higher, and the economic benefit is improved.
Drawings
FIG. 1 is a block diagram of an optimal control system for gypsum dewatering provided in accordance with an embodiment of the present invention.
Fig. 2 is a block diagram of a DCS controller according to an embodiment of the present invention.
FIG. 3 is a flow chart of an optimal control method for gypsum dewatering provided in accordance with an embodiment of the present invention.
Reference numerals:
1-a desulfurization absorption tower; 2-a gypsum discharge pump; 3-a swirler; 4-vacuum dewatering belt conveyor; 5-remotely controlling the electric valve; 6-remote pressure valve; 7-DCS controller;
3.1-cyclone;
7.1-data modeling module; 7.2-data analysis module; 7.3-a cyclone switching control module; 7.4-vacuum belt conveyor frequency conversion control module.
Detailed Description
The present invention is described in detail below with reference to specific embodiments in order to make the concept and idea of the present invention more clearly understood by those skilled in the art. It is to be understood that the embodiments presented herein are only a few of all embodiments that the present invention may have. Those skilled in the art who review this disclosure will readily appreciate that many modifications, variations, or alterations to the described embodiments, either in whole or in part, are possible and within the scope of the invention as claimed.
As used herein, the terms "first," "second," and the like are not intended to imply any order, quantity, or importance, but rather are used to distinguish one element from another. As used herein, the terms "a," "an," and other similar terms are not intended to mean that there is only one of the things, but rather that the pertinent description is directed to only one of the things, which may have one or more. As used herein, the terms "comprises," "comprising," and other similar words are intended to refer to logical interrelationships, and are not to be construed as referring to spatial structural relationships. For example, "a includes B" is intended to mean that logically B belongs to a, and not that spatially B is located inside a. Furthermore, the terms "comprising," "including," and other similar words are to be construed as open-ended, rather than closed-ended. For example, "a includes B" is intended to mean that B belongs to a, but B does not necessarily constitute all of a, and a may also include C, D, E and other elements.
The terms "embodiment," "present embodiment," "an embodiment," "one embodiment," and "one embodiment" herein do not mean that the pertinent description applies to only one particular embodiment, but rather that the description may apply to yet another embodiment or embodiments. Those skilled in the art will appreciate that any descriptions made in relation to one embodiment may be substituted, combined, or otherwise combined with the descriptions in relation to another embodiment or embodiments, and that the substitution, combination, or otherwise combination of the new embodiments as produced herein may occur to those skilled in the art and are intended to be within the scope of the present invention.
Example 1
Additional aspects and advantages of embodiments 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 embodiments of the invention. With reference to fig. 1 and 2, a first optimal control system for gypsum dewatering is provided by an embodiment of the present invention, comprising:
the system comprises a desulfurizing tower system, a data acquisition device and a DCS controller 7, wherein the desulfurizing tower system is connected with the data acquisition device, the data acquisition device is connected with the DCS controller 7 through data transmission equipment, the desulfurizing tower system comprises a desulfurizing absorption tower 1, a gypsum discharge pump 2, a cyclone 3 and a vacuum dewatering belt conveyor 4 which are sequentially connected, the data acquisition device comprises a gypsum slurry density measuring device 5 and a remote transmission pressure transmitter 6 which are arranged at the inlet position of the cyclone 3, the input ends of the gypsum slurry density measuring device 5 and the remote transmission pressure transmitter 6 are respectively connected with the inlet of the cyclone 3, the output ends of the gypsum slurry density measuring device 5 and the remote transmission pressure transmitter 6 are respectively connected with the DCS controller 7, a plurality of cyclone bodies 3.1 are arranged on the cyclone 3, the plurality of cyclone bodies 3.1 are respectively connected with the DCS controller 7 through remote control electric valves 8, the DCS controller 7 controls the input and cut-off of the plurality of cyclone bodies 3.1 through the remote control electric valves 8, and the rotating speed of the vacuum dewatering belt conveyor 4 is adjusted in a self-adaptive manner according to the input and cut-off number of the rotational flow pieces 3.1. Utilize the input and the excision of the son 3.1 of whirl on the remote control motorised valve 8 pair of cyclone 3 to carry out long-range automatic control, greatly reduced operation personnel's work load, realized gypsum dewatering system's automatic optimization control, make whole dewatering system operation more stable, the work of swirler is more reliable and stable, and then makes the gypsum dewatering effect better.
Specifically, the gypsum slurry density measuring device 5 is used for measuring the density of the gypsum slurry discharged from the desulfurization absorption tower, and transmitting measured data of the measured density of the gypsum slurry to the DCS controller 7. The remote transmission pressure transmitter 6 is used for measuring the real-time working pressure of the swirler 3 and transmitting the measured pressure data of the swirler to the DCS controller 7. After the desulfurization absorption tower 1 is put into use, the gypsum solid content of the underflow of the gypsum slurry changes along with the change of the density of the gypsum slurry, the gypsum solid content is positively correlated with the gypsum thickness, the higher the gypsum solid content is, the larger the gypsum thickness is, if the rotating speed of the vacuum dehydration belt conveyor 4 is lower and the gypsum thickness is larger, the water on the upper layer of the gypsum can not be completely pumped, the dehydration effect is poor, otherwise, if the rotating speed of the vacuum dehydration belt conveyor 4 is higher, the gypsum can not enter a gypsum bin in time for dehydration. Because the gypsum thickness is a dynamic target value, the optimum operation number of the cyclone 3.1 on the cyclone 3 is determined by collecting the gypsum slurry density and cyclone pressure data and combining operation experience data, so that the gypsum solid content of the underflow of the gypsum slurry reaches an optimum value, and meanwhile, the vacuum belt dewatering machine 4 also has a dynamic optimum operation speed, so that the gypsum dewatering effect is optimum under the current gypsum slurry density and the input number of the cyclones.
Specifically, the DCS controller 7 comprises a data modeling module 7.1 and a data analysis module 7.2 which are connected in sequence, and the output end of the data analysis module 7.1 is respectively connected with a cyclone switching control module 7.3 and a vacuum belt conveyor frequency conversion control module 7.4.
The data modeling module 7.1 is used for establishing an optimal control mathematical model of the cyclone according to the density of the gypsum slurry, the pressure of the cyclone and the empirical coefficient, and calculating the optimal input number of the cyclone based on the optimal control mathematical model, measured data of the density of the gypsum slurry and measured pressure data of the cyclone. The data modeling module 7.1 is also used for establishing a gypsum optimal thickness control model according to the density of the gypsum slurry and the optimal input number of the swirlers, and calculating the optimal thickness value of the vacuum dehydrated gypsum based on the gypsum optimal thickness control model. And establishing a cyclone optimal control mathematical model through the gypsum slurry density, the cyclone pressure and the empirical coefficient, and inputting the changed gypsum slurry density and cyclone pressure data in the mathematical model to determine the input number of the cyclones, so as to control the working pressure of the cyclones and further realize the optimal control of the gypsum slurry bottom flow and the concentration of the cyclones. And then establishing a gypsum optimal thickness control model according to the input number of the rotational flow rotors, and calculating to obtain a gypsum optimal thickness value, thereby achieving the purpose of automatically controlling and adjusting the rotating speed and the working frequency of the vacuum dehydration belt conveyor.
And the data analysis module 7.2 is used for analyzing and calculating the optimal rotating speed of the vacuum belt conveyor according to the optimal input number of the swirlers and the optimal thickness value of the vacuum dehydrated gypsum. The optimal rotating speed and the working frequency of the vacuum dehydration belt conveyor are calculated by analyzing the optimal input number of the cyclone and the optimal thickness value of the vacuum dehydration gypsum and combining the gypsum slurry density, the cyclone pressure, the input cyclone number and the operation experience data, so that the optimal control of the vacuum dehydration belt conveyor is realized.
And the cyclone switching control module 7.3 is used for receiving the cyclone control instruction sent by the data analysis module and controlling the input and the cut-off of a plurality of cyclones of the cyclone according to the cyclone control instruction. And the vacuum belt conveyor frequency conversion control module 7.4 is used for receiving the frequency conversion control instruction sent by the data analysis module and adjusting the working frequency and the rotating speed of the vacuum belt conveyor according to the frequency conversion control instruction.
Example 2
With reference to fig. 3, an embodiment of the present invention provides an optimal control method for gypsum dewatering, and the optimal control method of the embodiment of the present invention is applicable to the optimal control system for gypsum dewatering provided in embodiment 1, and specifically includes the following steps:
s1: data to be measured are collected and transmitted to the DCS controller 7, wherein the data to be measured comprise actual measurement data of density of gypsum slurry and actual measurement data of working pressure of the cyclone.
S2: the method comprises the following steps of establishing an optimal control mathematical model of the cyclone according to the density of gypsum slurry, the pressure of the cyclone and empirical coefficients, and calculating the optimal input number of the cyclone based on the optimal control mathematical model, collected actual measurement data of the density of the gypsum slurry and actual measurement data of the working pressure of the cyclone, wherein the total number of the cyclones on the cyclone is generally 5-15, 1-2 cyclones are in a standby state, and the total number of the cyclones is determined by the actual process load capacity, and the calculation formula of the optimal control mathematical model of the cyclone provided by the embodiment of the invention is as follows:
wherein N is the actual input number of the cyclone, N0The rated value of the number of the whirling fluid is input, rho is the measured value of the density of the gypsum slurry, and according to the empirical data, the density of the gypsum slurry ranges from 1070-3While exceeding this range causes difficulties in dewatering, P is the actual operating pressure of the cyclone, P0For the rated working pressure of the cyclone, K1 is a first experience coefficient and is obtained through thermal state tests and data modeling fitting, K2 is a second experience coefficient and is obtained through thermal state tests and data modeling fitting, and C is a compensation coefficient and is obtained through thermal state tests and data modeling fitting.
S3: the method comprises the following steps of establishing an optimal gypsum thickness control model according to the density of gypsum slurry and the optimal input number of swirlers, and calculating an optimal gypsum thickness value based on the optimal gypsum thickness control model, wherein the optimal gypsum thickness control model has the following calculation formula:
F(ρ) =0.1199898*ρ-115.9921 （2）
wherein F (rho) is the gypsum solid content corresponding to the density of the gypsum slurry, rho is the density of the gypsum slurry, T is the dynamic thickness of the vacuum dehydrated gypsum, N is the actual input number of the cyclone, and N is0And for the rated value of the input number of the cyclone, k1 is an empirical coefficient and is obtained through thermal state test and data modeling fitting, and C is a compensation coefficient and is obtained through thermal state test and data modeling fitting.
S4: and calculating the optimal rotating speed and the optimal working frequency of the vacuum belt conveyor according to the optimal input number of the swirlers and the optimal thickness value of the gypsum.
S5: and sending a cyclone control command to the cyclone according to the optimal input number of the cyclones, and controlling the input and the cut of the cyclones of the cyclone.
S6: and sending a variable frequency control instruction to the vacuum dewatering belt conveyor according to the optimal rotating speed and the optimal working frequency of the vacuum belt conveyor, and adjusting the rotating speed and the working frequency of the vacuum belt conveyor.
Example 3
The gypsum dehydration system in the embodiment of the invention is arranged in a one-operation-one-standby mode, and one vacuum dehydration belt conveyor can bear two desulfurization absorption towers and dehydrate gypsum at the same time. The gypsum dewatering process flow is that gypsum slurry is discharged from a desulfurization absorption tower 1 to a cyclone 3 through a gypsum discharge pump 2, after being separated by the cyclone 3, the gypsum slurry with high concentration is discharged to a vacuum dewatering belt conveyor 4 through the bottom flow of the cyclone 3 for dewatering, and each gypsum discharge pump 2 corresponds to one cyclone 3. Because the solid content of the gypsum in each desulfurization absorption tower 1 is dynamically changed, the input number of the plurality of the cyclone units 3.1 on the cyclone 3 is also dynamically changed, so that the output force of the cyclone 3 is also dynamically changed, and the downstream vacuum dehydration belt conveyor 4 needs to be subjected to frequency conversion adjustment along with the dynamic change, so that the thickness control of the dehydrated gypsum is realized. After the dewatering system is put into use, along with the change of the density of gypsum slurry, under the condition of not considering the abrasion degree of each cyclone, the cyclone of the cyclone has an optimal operation number to ensure that the solid content of underflow gypsum reaches an optimal value, the vacuum belt conveyor also has a dynamic optimal operation speed, the gypsum dewatering effect is optimal under the current density of the gypsum slurry and the input number of the cyclones, the real-time control target of the gypsum thickness is calculated in real time by a mathematical model of a DCS (distributed control system) controller, and the gypsum thickness is adjusted by adopting PID (proportion integration differentiation) control. The embodiment of the invention changes the traditional manual valve for controlling the cyclone into a remote control electric valve, additionally arranges a gypsum slurry density measuring device and a remote transmission pressure transmitter measuring point at the input end of the cyclone, calculates the running number of the cyclone and the dynamic control value of the gypsum dehydration thickness by analyzing the gypsum slurry density, the working condition of the cyclone and the vacuum degree of the dehydration system and establishing a model by combining the running experience according to the real-time working condition, and sends the dynamic control value to a DCS controller to realize the input and switching of the cyclone by matching with the remote control electric valve, thereby realizing the automatic regulation and running of the dehydration system under the full working condition. The control principle of the embodiment of the invention is to meet the economic operation on the premise of realizing the optimal dehydration effect, namely to ensure the economic operation with the minimum rotating speed of the vacuum dehydration belt conveyor on the premise of achieving the dehydration effect required by operators.
In another embodiment, if the incoming slurry of the dewatering system comprises waste water slurry, the state of the sludge delivery pump needs to be considered to be introduced into the model, and the remote electric regulation door modification is carried out on the related manual door, and the outlet pressure or current of the sludge pump needs to be remotely transmitted to DCS.
In summary, according to the optimal control system and the control method for gypsum dewatering provided by the invention, the system collects the density of gypsum slurry in an absorption tower through a set gypsum slurry density measuring device, collects the working pressure of a swirler through a set remote pressure transmitter, transmits the collected density of the gypsum slurry in the absorption tower and the pressure data of the swirler to a DCS controller to establish a mathematical model, and controls the number of the swirlers to be put into the DCS controller according to the change of the parameters, so that the pressure of the swirler is controlled, the optimal control of the bottom flow and the concentration of the swirler is further realized, and the purpose of automatic control and adjustment of a vacuum belt conveyor is realized according to the number of the swirlers to be put into the DCS controller and by combining the data model. In addition, the system changes a cyclone on-site manual valve into a remote control electric valve, the operation and monitoring of a desulfurization centralized control chamber DCS are only performed, the intelligent algorithm is combined to analyze the input and switching of the cyclone of the automatic control gypsum cyclone, the optimal gypsum thickness control is realized by automatically controlling the frequency conversion of the vacuum dehydration belt conveyor, the operation amount of operators is greatly reduced, the intelligent automatic optimization control that the DCS of the desulfurization dehydration system does not need artificial intervention is realized, the whole dehydration system is more stable in operation, the work of the cyclone is more stable and reliable, the gypsum dehydration effect is better, the quality is higher, and the economic benefit is improved.
The concepts, principles and concepts of the invention have been described above in detail in connection with specific embodiments (including examples and illustrations). Those skilled in the art will appreciate that the embodiments of the present invention are capable of other than the several forms described above and that the steps, methods, systems, and components of the embodiments described herein are capable of further modifications, permutations and equivalents after reading the present specification, which should be considered as falling within the scope of the present invention, which is limited only by the claims.
Claims (10)
1. An optimal control system for gypsum dewatering, comprising: the system comprises a desulfurizing tower system, a data acquisition device and a DCS controller, wherein the desulfurizing tower system is connected with the data acquisition device, the data acquisition device is connected with the DCS controller through data transmission equipment, the desulfurizing tower system comprises a desulfurizing absorption tower, a gypsum discharge pump, a cyclone and a vacuum dehydration belt conveyor which are sequentially connected, the data acquisition device comprises a gypsum slurry density measuring device and a remote transmission pressure transmitter which are arranged at the inlet position of the cyclone, the input ends of the gypsum slurry density measuring device and the remote transmission pressure transmitter are respectively connected with the inlet of the cyclone, the output ends of the gypsum slurry density measuring device and the remote transmission pressure transmitter are respectively connected with the DCS controller, a plurality of cyclone bodies are arranged on the cyclone body, and the cyclone bodies are respectively connected with the DCS controller through a remote control electric valve, the DCS controller controls the input and the removal of the plurality of cyclone by using the remote control electric valve, and performs self-adaptive adjustment on the rotating speed of the vacuum dehydration belt conveyor according to the input and removal number of the cyclone.
2. The optimal control system for gypsum dewatering of claim 1, wherein the remote pressure transmitter is configured to measure a real-time operating pressure of the cyclone and transmit measured cyclone pressure data to the DCS controller.
3. The optimal control system for gypsum dewatering of claim 1, wherein the gypsum slurry density measuring device is configured to measure the density of the gypsum slurry discharged from the desulfurization absorption tower and transmit the measured gypsum slurry density measurement data to the DCS controller.
4. The optimal control system for gypsum dewatering according to claim 1, wherein the DCS controller comprises a data modeling module and a data analysis module which are connected in sequence, and the output end of the data analysis module is connected with a cyclone switching control module and a vacuum belt conveyor frequency conversion control module respectively.
5. The optimal control system for gypsum dewatering of claim 4, wherein the data modeling module is configured to build an optimal control mathematical model of the cyclone according to gypsum slurry density, cyclone pressure and empirical coefficients, and to calculate the optimal number of the cyclones based on the optimal control mathematical model and measured data of measured gypsum slurry density and measured pressure of the cyclone.
6. The optimal control system for gypsum dewatering of claim 4, wherein the data modeling module is further configured to establish an optimal gypsum thickness control model according to the gypsum slurry density and the optimal number of input swirlers, and calculate an optimal thickness value of the vacuum dewatered gypsum based on the optimal gypsum thickness control model.
7. The optimal control system for gypsum dewatering according to claim 4, wherein the data analysis module is used for calculating the optimal rotating speed of the vacuum belt conveyor according to the analysis of the optimal input number of the swirlers and the optimal thickness value of the vacuum dewatered gypsum.
8. The optimal control system for gypsum dewatering according to claim 4, wherein the cyclone switching control module is configured to receive a cyclone control command sent by the data analysis module, and control the input and the cut-off of a plurality of cyclones of a cyclone according to the cyclone control command.
9. The optimal control system for gypsum dewatering according to claim 4, wherein the vacuum belt conveyor frequency conversion control module is configured to receive the frequency conversion control command sent by the data analysis module, and adjust the operating frequency and the rotating speed of the vacuum belt conveyor according to the frequency conversion control command.
10. An optimal control method for gypsum dewatering, comprising:
collecting data to be measured, and transmitting the data to be measured to a DCS controller, wherein the data to be measured comprises actual measurement data of density of gypsum slurry and actual measurement data of working pressure of a swirler;
establishing an optimal control mathematical model of the cyclone according to the density of the gypsum slurry, the pressure of the cyclone and the empirical coefficient, and calculating the optimal input number of the cyclone based on the optimal control mathematical model, the collected actual measurement data of the density of the gypsum slurry and the actual measurement data of the working pressure of the cyclone;
establishing a gypsum optimal thickness control model according to the density of the gypsum slurry and the optimal input number of the swirlers, and calculating an optimal gypsum thickness value based on the gypsum optimal thickness control model;
calculating the optimal rotating speed and the optimal working frequency of the vacuum belt conveyor according to the optimal input number of the swirlers and the optimal thickness value of the gypsum;
sending a cyclone control instruction to the cyclone according to the optimal input number of the cyclones, and controlling the input and the cut of the cyclones of the cyclone;
and sending a variable frequency control instruction to the vacuum dewatering belt conveyor according to the optimal rotating speed and the optimal working frequency of the vacuum belt conveyor, and adjusting the rotating speed and the working frequency of the vacuum belt conveyor.
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