An optimal control system and control method for gypsum dehydration

Abstract

The invention discloses an optimal control system and a control method for gypsum dehydration. The system comprises: a desulfurization tower system, a data acquisition device and a DCS controller. The desulfurization tower system is connected to the data acquisition device, which is connected to the DCS controller. The desulfurization tower system comprises a desulfurization absorption tower, a gypsum discharge pump, a cyclone and a vacuum dehydration belt conveyor which are connected in sequence. The data acquisition device comprises a gypsum slurry density measuring device and a remote pressure transmitter. The input ends of the gypsum slurry density measuring device and the remote pressure transmitter are respectively connected to the cyclone inlet, and the output ends of the gypsum slurry density measuring device and the remote pressure transmitter are respectively connected to the DCS controller. A plurality of cyclones are arranged on the cyclone, and the plurality of cyclones are respectively connected to the DCS controller through remote control electric valves. The invention reduces the amount of human operation, realizes automatic control without human intervention, makes the whole system run more stably, makes the cyclone work more stably and reliably, and achieves better gypsum dehydration effect.

Description

Technical Field

[0001] The invention belongs to the technical field of gypsum dehydration, and in particular relates to an optimal control system and a control method for gypsum dehydration. Background Art

[0002] Limestone / gypsum wet flue gas desulfurization is a widely used flue gas desulfurization technology in the world. In the modern limestone wet flue gas desulfurization process, the flue gas is washed by limestone slurry containing calcium sulfite and calcium sulfate, and SO2 reacts chemically with the alkaline substances in the slurry to form sulfite and sulfate. The solids in the slurry are continuously separated from the slurry and discharged. After the fresh limestone is added, it is circulated back to the absorption tower together with the original slurry, so that the reaction continues in the positive direction, achieving the effect of continuous removal of SO2. In this process, the gypsum slurry in the absorption tower is sent to the gypsum hydrocyclone station for concentration through the gypsum discharge pump. The concentrated gypsum slurry enters the vacuum belt dehydrator for dehydration treatment and can be used for comprehensive utilization. The process flow of gypsum dehydration is that the gypsum slurry is discharged from the absorption tower through the gypsum discharge pump to the gypsum cyclone. After separation through the cyclone, the slurry with high concentration is discharged through the underflow of the cyclone to the vacuum dehydration belt conveyor for dehydration. Each gypsum discharge pump corresponds to a gypsum cyclone. Since the solid content of gypsum in each absorption tower changes dynamically, the number of cyclones on the cyclone needs to change dynamically, so that the output of the cyclone changes dynamically, and the downstream vacuum dehydration belt conveyor also needs to be frequency-controlled to control the thickness of the dehydrated gypsum. Currently, the cyclone insertion or removal requires the operation of a manual valve installed on site, and the frequency control of the vacuum belt conveyor requires remote manual adjustment. The traditional control method consumes a lot of manpower, and the slightest carelessness may cause the gypsum dehydration system to be unstable, resulting in poor gypsum quality and cyclone overload. Summary of the invention

[0003] In order to solve the above problems, the present invention provides an optimal control system and control method for gypsum dehydration to solve the problem that the existing manual control method of gypsum dehydration consumes manpower, easily causes instability of the gypsum dehydration system, leads to deterioration of gypsum quality, and overload of the cyclone.

[0004] To achieve the above object, the present invention provides an optimal control system for gypsum dehydration, comprising:

[0005] A desulfurization tower system, a data acquisition device and a DCS controller, wherein the desulfurization tower system is connected to the data acquisition device, and the data acquisition device is connected to the DCS controller through a data transmission device, wherein the desulfurization tower system includes a desulfurization absorption tower, a gypsum discharge pump, a cyclone and a vacuum dehydration belt conveyor which are connected in sequence, the data acquisition device includes a gypsum slurry density measuring device and a remote 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 pressure transmitter are respectively connected to the inlet of the cyclone, the output ends of the gypsum slurry density measuring device and the remote pressure transmitter are respectively connected to the DCS controller, a plurality of cyclones are arranged on the cyclone, and the plurality of cyclones are respectively connected to the DCS controller through remote control electric valves, the DCS controller uses the remote control electric valve to control the input and removal of the plurality of cyclones, and adaptively adjusts the speed of the vacuum dehydration belt conveyor according to the number of cyclones input and removed.

[0006] According to a specific embodiment of the present invention, the remote pressure transmitter is used to measure the real-time working pressure of the cyclone, and transmit the measured actual pressure data of the cyclone to the DCS controller.

[0007] According to a specific embodiment of the present invention, the gypsum slurry density measuring device is used to measure the density of the gypsum slurry discharged from the desulfurization absorption tower, and transmit the measured gypsum slurry density actual data to the DCS controller.

[0008] According to a specific embodiment of the present invention, the DCS controller includes a data modeling module and a data analysis module which are connected in sequence, and the output end of the data analysis module is respectively connected to a cyclone switching control module and a vacuum belt conveyor frequency conversion control module.

[0009] According to a specific embodiment of the present invention, the data modeling module is used to establish a cyclone optimal control mathematical model based on the gypsum slurry density, cyclone pressure and empirical coefficient, and calculate the optimal number of cyclones to be put into use based on the optimal control mathematical model and the measured gypsum slurry density data and cyclone measured pressure data.

[0010] According to a specific embodiment of the present invention, the data modeling module is also used to establish a gypsum optimal thickness control model according to the gypsum slurry density and the optimal number of cyclones input, and calculate the optimal thickness value of the vacuum dehydrated gypsum based on the gypsum optimal thickness control model.

[0011] According to a specific embodiment of the present invention, the data analysis module is used to analyze and calculate the optimal rotation speed of the vacuum belt conveyor according to the optimal number of cyclones and the optimal thickness value of the vacuum dehydrated gypsum.

[0012] According to a specific embodiment of the present invention, the swirler switching control module is used to receive the swirler control instruction sent by the data analysis module, and control the switching on and off of multiple swirlers of the swirler according to the swirler control instruction.

[0013] According to a specific embodiment of the present invention, the vacuum belt conveyor frequency conversion control module is used to receive the frequency conversion control instruction sent by the data analysis module, and adjust the operating frequency and speed of the vacuum belt conveyor according to the frequency conversion control instruction.

[0014] The present invention also provides an optimal control method for gypsum dehydration, comprising:

[0015] Collect the data to be measured and transmit it to the DCS controller, wherein the data to be measured includes the measured data of gypsum slurry density and the measured data of cyclone working pressure;

[0016] According to the density of gypsum slurry, cyclone pressure and empirical coefficient, the optimal control mathematical model of cyclones is established, and the optimal number of cyclones is calculated based on the optimal control mathematical model and the collected measured data of gypsum slurry density and cyclone working pressure;

[0017] According to the density of gypsum slurry and the optimal number of cyclones, an optimal gypsum thickness control model is established, and the optimal gypsum thickness value is calculated based on the optimal gypsum thickness control model;

[0018] Calculate the optimal speed and operating frequency of the vacuum belt conveyor according to the optimal number of cyclones and the optimal thickness of gypsum;

[0019] Sending cyclone control instructions to the cyclone according to the optimal number of cyclones to control the input and removal of multiple cyclones in the cyclone;

[0020] According to the optimal speed and optimal working frequency of the vacuum belt conveyor, a frequency conversion control instruction is sent to the vacuum dehydration belt conveyor to adjust the speed and working frequency of the vacuum belt conveyor.

[0021] Compared with the prior art, the present invention provides an optimal control system and control method for gypsum dehydration. The system collects the gypsum slurry density of the absorption tower through a gypsum slurry density measuring device, collects the working pressure of the cyclone through a remote pressure transmitter, transmits the collected absorption tower slurry density and cyclone pressure data to a DCS controller to establish a mathematical model, and then controls the number of cyclones put in according to changes in the above parameters, thereby controlling the pressure of the cyclone, and further realizing the optimization control of the bottom flow and concentration of the cyclone, and realizes the purpose of automatic control and adjustment of the vacuum belt conveyor according to the number of cyclones put in and the data model. In addition, the system changes the on-site manual valve of the cyclone into a remote-controlled electric valve. There is no need for professionals to operate and observe the process system on-site. Only through operation and monitoring in the DCS of the desulfurization control room, combined with intelligent algorithm analysis, the input and switching of the gypsum cyclone is automatically controlled, and the frequency conversion of the vacuum dehydration belt conveyor is automatically controlled to achieve optimal gypsum thickness control. This greatly reduces the operation workload of the operating personnel and realizes intelligent automatic optimization control of the DCS of the desulfurization and dehydration system without human intervention. The entire dehydration system runs more stably, the cyclone works more stably and reliably, the gypsum dehydration effect is better, the quality is higher, and the economic benefits are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 The figure is a structural block diagram of an optimal control system for gypsum dehydration provided according to an embodiment of the present invention.

[0023] Figure 2 is a structural block diagram of a DCS controller provided according to an embodiment of the present invention.

[0024] Figure 3 The present invention is a flowchart of an optimal control method for gypsum dehydration provided according to an embodiment of the present invention.

[0025] Reference numerals:

[0026] 1-desulfurization absorption tower; 2-gypsum discharge pump; 3-cyclone; 4-vacuum dehydration belt conveyor; 5-remote control electric valve; 6-remote pressure valve; 7-DCS controller;

[0027] 3.1-cyclotron;

[0028] 7.1-Data modeling module; 7.2-Data analysis module; 7.3-Swirl switching control module; 7.4-Vacuum belt conveyor frequency conversion control module. DETAILED DESCRIPTION

[0029] In order to make those skilled in the art understand the concept and thought of the present invention more clearly, the present invention is described in detail below in conjunction with specific embodiment.It should be understood that the embodiment provided herein is only a part of all embodiments that the present invention may have.Those skilled in the art, after reading the specification of the application, have the ability to make improvements, transformations, or replacements to part or the whole of the following embodiments, and these improvements, transformations, or replacements are also included in the scope of the present invention.

[0030] In this article, the terms "first", "second" and other similar words are not intended to imply any order, quantity and importance, but are only used to distinguish different elements. In this article, the terms "one", "an" and other similar words are not intended to indicate that there is only one thing, but to indicate that the relevant description is only for one of the things, and the thing may have one or more. In this article, the terms "comprise", "include" and other similar words are intended to indicate logical mutual relations, and cannot be regarded as indicating spatial structural relations. For example, "A includes B" is intended to indicate that B belongs to A logically, but does not mean that B is located inside A in space. In addition, the meanings of the terms "comprise", "include" and other similar words should be regarded as open, rather than closed. For example, "A includes B" is intended to indicate that B belongs to A, but B does not necessarily constitute the whole of A, and A may also include other elements such as C, D, and E.

[0031] In this document, the terms "embodiment", "this embodiment", "one embodiment", and "an embodiment" do not mean that the relevant description is only applicable to a specific embodiment, but rather that the description may also be applicable to one or more other embodiments. Those skilled in the art should understand that in this document, any description of a certain embodiment can be replaced, combined, or combined in other ways with the relevant descriptions in one or more other embodiments, and the new embodiments generated by the replacement, combination, or combination in other ways are easily conceivable by those skilled in the art and fall within the scope of protection of the present invention.

[0032] Example 1

[0033] Additional aspects and advantages of embodiments of the present invention will be described in part in the following description, and will become apparent from the following description, or will be learned through practice of embodiments of the present invention. Figure 1 and Figure 2 The embodiment of the present invention provides a first optimal control system for gypsum dehydration, comprising:

[0034] Desulfurization tower system, data acquisition device and DCS controller 7, the desulfurization tower system is connected with the data acquisition device, the data acquisition device is connected with the DCS controller 7 through the data transmission device, wherein the desulfurization tower system comprises a desulfurization absorption tower 1, a gypsum discharge pump 2, a cyclone 3 and a vacuum dehydration belt conveyor 4 which are connected in sequence, the data acquisition device comprises a gypsum slurry density measuring device 5 and a remote 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 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 pressure transmitter 6 are respectively connected with the DCS controller 7, a plurality of cyclones 3.1 are arranged on the cyclone 3, the plurality of cyclones 3.1 are respectively connected with the DCS controller 7 through the remote control electric valve 8, the DCS controller 7 uses the remote control electric valve 8 to control the input and removal of the plurality of cyclones 3.1, and adaptively adjusts the speed of the vacuum dehydration belt conveyor 4 according to the number of the input and removal of the cyclones 3.1. The use of the remote-controlled electric valve 8 to remotely and automatically control the input and removal of the cyclone 3.1 on the cyclone 3 greatly reduces the workload of the operating personnel, realizes the automatic optimization control of the gypsum dehydration system, makes the operation of the entire dehydration system more stable, and the work of the cyclone is more stable and reliable, thereby achieving a better gypsum dehydration effect.

[0035] Specifically, the gypsum slurry density measuring device 5 is used to measure the density of the gypsum slurry discharged from the desulfurization absorption tower, and transmit the measured gypsum slurry density actual data to the DCS controller 7. The remote pressure transmitter 6 is used to measure the real-time working pressure of the cyclone 3, and transmit the measured cyclone actual pressure data to the DCS controller 7. After the desulfurization absorption tower 1 is put into use, as the density of the gypsum slurry changes, the gypsum solid content of the gypsum slurry bottom flow also changes. The gypsum solid content is positively correlated with the gypsum thickness. The higher the gypsum solid content, the greater the gypsum thickness. If the speed of the vacuum dehydration belt conveyor 4 is low and the gypsum thickness is large, the upper layer of the gypsum cannot be completely pumped out, and the dehydration effect is poor. On the contrary, if the speed of the vacuum dehydration belt conveyor 4 is fast, the gypsum enters the gypsum bin before it has time to be dehydrated. Since the gypsum thickness is a dynamic target value, it is necessary to collect the gypsum slurry density and cyclone pressure data and determine the optimal operating number of cyclones 3.1 on the cyclone 3 in combination with the operating experience data to ensure that the gypsum solid content in the bottom flow of the gypsum slurry reaches the optimal value. At the same time, the vacuum skin dehydration belt machine 4 also has a dynamic optimal operating speed, so that the gypsum dehydration effect is best under the current gypsum slurry density and the number of cyclones invested.

[0036] 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 to a cyclone switching control module 7.3 and a vacuum belt conveyor frequency conversion control module 7.4.

[0037] The data modeling module 7.1 is used to establish a mathematical model for optimal control of cyclones according to the density of gypsum slurry, cyclone pressure and empirical coefficient, and calculate the optimal number of cyclones based on the optimal control mathematical model and the measured data of gypsum slurry density and cyclone measured pressure data. The data modeling module 7.1 is also used to establish a gypsum optimal thickness control model according to the density of gypsum slurry and the optimal number of cyclones, and calculate the optimal thickness value of vacuum dehydrated gypsum based on the gypsum optimal thickness control model. The optimal control mathematical model of cyclones is established by gypsum slurry density, cyclone pressure and empirical coefficient, and the number of cyclones to be put into the mathematical model is determined by inputting the changing gypsum slurry density and cyclone pressure data, so as to control the working pressure of the cyclone, and then realize the optimization control of the bottom flow and concentration of gypsum slurry of the cyclone. Then, the optimal thickness control model of gypsum is established according to the number of cyclones, and the optimal thickness value of gypsum is calculated, so as to realize the purpose of automatic control and adjustment of the speed and working frequency of the vacuum dehydration belt conveyor.

[0038] The data analysis module 7.2 is used to analyze and calculate the optimal speed of the vacuum belt conveyor according to the optimal number of cyclones and the optimal thickness of the vacuum dehydrated gypsum. By analyzing the optimal number of cyclones and the optimal thickness of the vacuum dehydrated gypsum, and combining the gypsum slurry density, cyclone pressure, the number of cyclones and operating experience data, the optimal speed and operating frequency of the vacuum dehydration belt conveyor are calculated, thereby achieving optimal control of the vacuum dehydration belt conveyor.

[0039] The cyclone switching control module 7.3 is used to receive the cyclone control instructions sent by the data analysis module, and control the input and removal of multiple cyclones of the cyclone according to the cyclone control instructions. The vacuum belt conveyor frequency conversion control module 7.4 is used to receive the frequency conversion control instructions sent by the data analysis module, and adjust the working frequency and speed of the vacuum belt conveyor according to the frequency conversion control instructions.

[0040] Example 2

[0041] Combination Figure 3 The embodiment of the present invention provides an optimal control method for gypsum dehydration. The optimal control method of the embodiment of the present invention is applicable to an optimal control system for gypsum dehydration provided in Example 1, and specifically includes the following steps:

[0042] S1: Collecting the data to be measured and transmitting the data to be measured to the DCS controller 7, wherein the data to be measured includes the actual measured data of the density of the gypsum slurry and the actual measured data of the working pressure of the cyclone.

[0043] S2: A cyclone optimal control mathematical model is established according to the gypsum slurry density, the cyclone pressure and the empirical coefficient, and the optimal number of cyclones is calculated based on the optimal control mathematical model and the collected gypsum slurry density measured data and the cyclone working pressure measured data. Usually, the total number of cyclones on the cyclone is generally 5-15, of which 1 to 2 are in standby state. The total number of cyclones is determined by the actual process load capacity. The calculation formula of the cyclone optimal control mathematical model provided by the embodiment of the present invention is as follows:

[0044] (1)

[0045] Where N is the actual number of cyclones, N0 is the rated number of cyclones, and ρ is the measured density of gypsum slurry. According to empirical data, the density of gypsum slurry ranges from 1070 to 1150 kg / m 3 Exceeding this range will cause dehydration difficulties, P is the actual working pressure of the cyclone, P0 is the rated working pressure of the cyclone, k1 is the first empirical coefficient, which is obtained through hot test and data modeling fitting, K2 is the second empirical coefficient, which is obtained through hot test and data modeling fitting, and C is the compensation coefficient, which is obtained through hot test and data modeling fitting.

[0046] S3: According to the density of the gypsum slurry and the optimal number of cyclones, a gypsum optimal thickness control model is established, and the optimal gypsum thickness value is calculated based on the gypsum optimal thickness control model, wherein the calculation formula of the gypsum optimal thickness control model is as follows:

[0047] F(ρ) =0.1199898*ρ-115.9921 (2)

[0048] (3)

[0049] Where F(ρ) is the gypsum solid content corresponding to the density of gypsum slurry, ρ is the density of gypsum slurry, T is the dynamic thickness of vacuum dehydrated gypsum, N is the actual number of cyclones put into operation, N0 is the rated number of cyclones put into operation, k1 is the empirical coefficient obtained through hot test and data modeling fitting, and C is the compensation coefficient obtained through hot test and data modeling fitting.

[0050] S4: Calculate the optimal speed and optimal operating frequency of the vacuum belt conveyor according to the optimal number of cyclones and the optimal thickness of gypsum.

[0051] S5: sending a cyclone control instruction to the cyclone according to the optimal number of cyclones to control the input and removal of multiple cyclones of the cyclone.

[0052] S6: Send a frequency conversion control instruction to the vacuum dehydration belt conveyor according to the optimal speed and optimal operating frequency of the vacuum belt conveyor to adjust the speed and operating frequency of the vacuum belt conveyor.

[0053] Example 3

[0054] The gypsum dehydration system in the embodiment of the present invention is set up in a one-operation-one-standby mode, and one vacuum dehydration belt conveyor can carry two desulfurization absorption towers to dehydrate gypsum at the same time. The process flow of gypsum dehydration is that the gypsum slurry is discharged from the desulfurization absorption tower 1 to the cyclone 3 through the gypsum discharge pump 2. After separation through the cyclone 3, the gypsum slurry with high concentration is discharged through the bottom flow of the cyclone 3 to the vacuum dehydration belt conveyor 4 for dehydration. Each gypsum discharge pump 2 corresponds to a cyclone 3. Since the gypsum solid content of each desulfurization absorption tower 1 changes dynamically, the number of multiple cyclones 3.1 on the cyclone 3 also changes dynamically, so that the output of the cyclone 3 also changes dynamically, and the vacuum dehydration belt conveyor 4 downstream thereof needs to be frequency-converted and adjusted accordingly to achieve thickness control of the dehydrated gypsum. After the dehydration system is put into use, as the density of the gypsum slurry changes, without considering the degree of wear of each cyclone, there is an optimal number of cyclones in the cyclone to ensure that the solid content of the bottom flow gypsum reaches the optimal value. The vacuum belt conveyor also has a dynamic optimal operating speed, which makes the gypsum dehydration effect optimal under the current gypsum slurry density and the number of cyclones put in. The real-time control target of the gypsum thickness is calculated in real time by the mathematical model of the DCS controller, and the gypsum thickness adjustment still adopts PID control. In the embodiment of the present invention, the traditional manual valve for controlling the cyclone is replaced by a remote-controlled electric valve, and a gypsum slurry density measuring device and a remote pressure transmitter measuring point are added to the input end of the cyclone. According to the real-time working conditions, by analyzing the gypsum slurry density, the working condition of the cyclone, the vacuum degree of the dehydration system and combining the operating experience, a model is established to calculate the dynamic control value of the number of cyclones in operation and the gypsum dehydration thickness, and send it to the DCS controller, and cooperate with the remote-controlled electric valve to realize the input and switching of the cyclone, thereby realizing the automatic adjustment operation of the dehydration system under all working conditions. The control principle of the embodiment of the present invention is to achieve economical operation under the premise of achieving the best dehydration effect, that is, to achieve the economical operation with the minimum speed of the vacuum dehydration belt conveyor under the premise of achieving the dehydration effect required by the operator.

[0055] In another embodiment, if the incoming slurry of the dewatering system includes wastewater slurry, it is necessary to consider introducing the status of the sludge delivery pump into the model, and transform the relevant manual doors into remote electric regulating doors, and also need to remotely transmit the mud pump outlet pressure or current to the DCS.

[0056] In summary, the present invention provides an optimal control system and control method for gypsum dehydration. The system collects the density of gypsum slurry in the absorption tower through a gypsum slurry density measuring device, collects the working pressure of the cyclone through a remote pressure transmitter, transmits the collected absorption tower slurry density and cyclone pressure data to a DCS controller to establish a mathematical model, and then controls the number of cyclones put in according to the changes in the above parameters, thereby controlling the pressure of the cyclone, and further realizing the optimization control of the bottom flow and concentration of the cyclone, and realizing the purpose of automatic control and adjustment of the vacuum belt conveyor according to the number of cyclones put in and the data model. In addition, the system changes the on-site manual valve of the cyclone into a remote-controlled electric valve. There is no need for professionals to operate and observe the process system on-site. Only through operation and monitoring in the DCS of the desulfurization control room, combined with intelligent algorithm analysis, the input and switching of the gypsum cyclone is automatically controlled, and the frequency conversion of the vacuum dehydration belt conveyor is automatically controlled to achieve optimal gypsum thickness control. This greatly reduces the operation workload of the operating personnel and realizes intelligent automatic optimization control of the DCS of the desulfurization and dehydration system without human intervention. The entire dehydration system runs more stably, the cyclone works more stably and reliably, the gypsum dehydration effect is better, the quality is higher, and the economic benefits are improved.

[0057] The above describes in detail the concepts, principles and ideas of the present invention in conjunction with specific implementation methods (including embodiments and examples). Those skilled in the art should understand that the implementation methods of the present invention are not limited to the forms given above. After reading this application document, those skilled in the art can make any possible improvements, substitutions and equivalent forms to the steps, methods, systems and components in the above implementation methods. These improvements, substitutions and equivalent forms should be deemed to fall within the scope of the present invention, and the protection scope of the present invention shall be subject only to the claims.

Claims

1. An optimal control method for an optimal control system for gypsum dehydration, characterized in that: Collecting data to be measured and transmitting the data to be measured to a DCS controller, wherein the data to be measured includes measured data of gypsum slurry density and measured data of cyclone working pressure; According to the density of gypsum slurry, cyclone pressure and empirical coefficient, the optimal control mathematical model of cyclones is established, and the optimal number of cyclones is calculated based on the optimal control mathematical model and the collected measured data of gypsum slurry density and cyclone working pressure: the total number of cyclones on the cyclone is 5-15, of which 1 to 2 are in standby state. The total number of cyclones is determined by the actual process load capacity. The calculation formula of the optimal control mathematical model of cyclones is as follows: Where N is the actual number of cyclones, N0 is the rated number of cyclones, and ρ is the measured density of gypsum slurry, which ranges from 1070 to 1150 kg / m 3 Where, P is the actual working pressure of the cyclone, P0 is the rated working pressure of the cyclone, k1 is the first empirical coefficient, obtained through hot test and data modeling fitting, K2 is the second empirical coefficient, obtained through hot test and data modeling fitting, and C is the compensation coefficient, obtained through hot test and data modeling fitting; The optimal thickness control model of gypsum is established according to the density of gypsum slurry and the optimal number of cyclones, and the optimal thickness value of gypsum is calculated based on the optimal thickness control model of gypsum, wherein the calculation formula of the optimal thickness control model of gypsum is as follows: Where, F(ρ) is the gypsum solid content corresponding to the density of gypsum slurry, ρ is the density of gypsum slurry, T is the dynamic thickness of vacuum dehydrated gypsum, N is the actual number of cyclones, N0 is the rated number of cyclones, k1 is the empirical coefficient obtained through hot test and data modeling fitting, C is the compensation coefficient obtained through hot test and data modeling fitting; Calculate the optimal speed and operating frequency of the vacuum belt conveyor according to the optimal number of cyclones and the optimal thickness of gypsum; Sending cyclone control instructions to the cyclone according to the optimal number of cyclones to control the input and removal of multiple cyclones in the cyclone; Sending a frequency conversion control instruction to the vacuum dehydration belt conveyor according to the optimal speed and optimal operating frequency of the vacuum belt conveyor to adjust the speed and operating frequency of the vacuum belt conveyor; The optimal control system for gypsum dehydration includes: a desulfurization tower system, a data acquisition device and a DCS controller, wherein the desulfurization tower system is connected to the data acquisition device, and the data acquisition device is connected to the DCS controller through a data transmission device, wherein the desulfurization tower system includes a desulfurization absorption tower, a gypsum discharge pump, a cyclone and a vacuum dehydration belt conveyor connected in sequence, and the data acquisition device includes a gypsum slurry density measuring device and a remote pressure transmitter arranged at the inlet position of the cyclone, and the input ends of the gypsum slurry density measuring device and the remote pressure transmitter are respectively connected to the inlet of the cyclone, and the output ends of the gypsum slurry density measuring device and the remote pressure transmitter are respectively connected to the DCS controller, and a plurality of cyclones are arranged on the cyclone, and the plurality of cyclones are respectively connected to the DCS controller through remote control electric valves, and the DCS controller uses the remote control electric valve to control the input and removal of the plurality of cyclones, and adaptively adjusts the speed of the vacuum dehydration belt conveyor according to the number of cyclones input and removed.

2. The optimal control method for the optimal control system for gypsum dehydration according to claim 1, characterized in that: The remote pressure transmitter is used to measure the real-time working pressure of the cyclone and transmit the measured cyclone actual pressure data to the DCS controller.

3. The optimal control method for the optimal control system for gypsum dehydration according to claim 1, characterized in that: The gypsum slurry density measuring device is used to measure the density of the gypsum slurry discharged from the desulfurization absorption tower, and transmit the measured gypsum slurry density actual data to the DCS controller.

4. The optimal control method for the optimal control system for gypsum dehydration according to claim 1, characterized in that: 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 respectively connected to a cyclone switching control module and a vacuum belt conveyor frequency conversion control module.

5. The optimal control method for the optimal control system for gypsum dehydration according to claim 4, characterized in that: The data modeling module is used to establish a cyclone optimal control mathematical model according to the gypsum slurry density, cyclone pressure and empirical coefficient, and calculate the optimal number of cyclones based on the optimal control mathematical model and the measured gypsum slurry density data and cyclone measured pressure data.

6. The optimal control method for the optimal control system for gypsum dehydration according to claim 4, characterized in that: The data modeling module is also used to establish an optimal gypsum thickness control model according to the density of the gypsum slurry and the optimal number of cyclones input, and calculate the optimal thickness value of the vacuum dehydrated gypsum based on the optimal gypsum thickness control model.

7. The optimal control method for the optimal control system for gypsum dehydration according to claim 4, characterized in that: The data analysis module is used to analyze and calculate the optimal rotation speed of the vacuum belt conveyor according to the optimal number of cyclones and the optimal thickness value of the vacuum dehydrated gypsum.

8. The optimal control method for the optimal control system for gypsum dehydration according to claim 4, characterized in that: The swirler switching control module is used to receive the swirler control instructions sent by the data analysis module, and control the switching on and off of multiple swirlers of the swirler according to the swirler control instructions.

9. The optimal control method for the optimal control system for gypsum dehydration according to claim 4, characterized in that: The vacuum belt conveyor frequency conversion control module is used to receive the frequency conversion control instructions sent by the data analysis module, and adjust the operating frequency and speed of the vacuum belt conveyor according to the frequency conversion control instructions.

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