Automatic energy-saving adjusting device for desulfurization slurry circulating system

Abstract

The present application relates to a desulfurization slurry circulating system technical field, specifically relates to a kind of automatic energy-saving regulating device of desulfurization slurry circulating system, comprising: data acquisition module, control module and execution module;Data acquisition module is used to collect the actual concentration of outlet gas of desulfurization system;Control module calculates the concentration deviation between the measured value of outlet gas concentration and the preset value of outlet gas concentration according to the measured value of outlet gas concentration and the preset value of outlet gas concentration, and outputs control instruction according to concentration deviation;Execution module adjusts the output of desulfurization slurry circulating system according to control instruction.The present application realizes accurate control and energy-saving operation by real-time acquisition of outlet gas concentration, automatic calculation of concentration deviation and adjustment of slurry circulating output.Effectively reduce pump energy consumption, improve desulfurization efficiency and system response speed, ensure that emission is stable and up to standard.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of desulfurization slurry circulating system, and particularly relates to an automatic energy-saving adjusting device for a desulfurization slurry circulating system. BACKGROUND

[0002] The desulfurization system uses a limestone-gypsum wet flue gas desulfurization device. The desulfurization system mainly comprises a flue gas system, an absorption tower system, a limestone slurry conveying system, a discharge system, a process water system and the like. The FGD absorption tower system is composed of an absorption system, an absorption tower slurry circulating system, an oxidation air system, a demister flushing system, a gypsum discharge system and the like. The absorption tower slurry circulating system is composed of five slurry circulating pumps. The desulfurization slurry circulating system is a core part of the flue gas desulfurization device, and its main function is to continuously circulate and convey the desulfurization slurry to the desulfurization tower to realize the absorption and removal of sulfur dioxide (SO2) in the flue gas by the slurry. With the increasingly stringent environmental protection regulations, the desulfurization device needs to realize high-efficiency desulfurization while reducing energy consumption, and achieve the goal of energy saving and emission reduction.

[0003] The traditional desulfurization slurry circulating system usually runs in a fixed flow or simple feedback control mode, lacks the ability to quickly respond to changes in the outlet gas SO2 concentration, and results in unstable desulfurization efficiency and high energy consumption of the slurry pump. Especially in the case of large load fluctuations or complex working conditions, the system is prone to excessive or insufficient circulation of the slurry, which not only wastes energy but also affects the desulfurization effect.

[0004] In the prior art, the control of the desulfurization slurry circulating system relies on experience adjustment, lacks an automatic adjustment mechanism based on real-time outlet gas concentration feedback, and is difficult to achieve precise energy-saving control. Moreover, the existing control scheme often fails to fully consider the nonlinear characteristics and dynamic changes of the system, resulting in slow control response and difficulty in balancing desulfurization efficiency and energy consumption optimization. SUMMARY

[0005] (I) Invention purpose

[0006] The purpose of the present application is to provide a real-time outlet gas concentration acquisition, automatic concentration deviation calculation and slurry circulating output adjustment, to realize precise control and energy-saving operation. The automatic energy-saving adjusting device for a desulfurization slurry circulating system effectively reduces pump energy consumption, improves desulfurization efficiency and system response speed, and ensures stable and standard desulfurization slurry circulating system discharge.

[0007] (II) Technical solution

[0008] To solve the above problems, the present application provides an automatic energy-saving adjusting device for a desulfurization slurry circulating system, comprising:

[0009] a data acquisition module, a control module and an execution module;

[0010] The data acquisition module, the data processing module, the control module and the execution module are connected in sequence;

[0011] The data acquisition module is used for collecting the actual concentration of outlet gas of the desulfurization system;

[0012] The control module calculates the concentration deviation between the actual concentration of outlet gas and the preset concentration of outlet gas according to the actual concentration of outlet gas and the preset concentration of outlet gas, and outputs a control instruction according to the concentration deviation;

[0013] The execution module adjusts the output of the desulfurization slurry circulating system according to the control instruction;

[0014] The calculation of the concentration deviation between the actual concentration of outlet gas and the preset concentration of outlet gas further comprises:

[0015] The deviation accumulation between the actual concentration of outlet gas and the preset concentration of outlet gas is calculated, and the deviation accumulation is calculated by using the following formula:

[0016] ;

[0017] Wherein, The concentration deviation accumulation is represented by the concentration deviation accumulation, the total amount of deviation accumulated from the start of sampling to the current time, i represents the sampling point number, and k represents the total number of sampling points The concentration difference value at the i-th sampling time is represented by the concentration difference value, The time interval between two consecutive sampling points is represented by the time interval between two consecutive sampling points;

[0018] The control instruction is output according to the concentration deviation, which comprises:

[0019] The concentration difference value, the deviation change rate and the deviation accumulation are respectively taken as input variables for fuzzy processing;

[0020] According to the preset fuzzy rule base, fuzzy reasoning is carried out to obtain fuzzy control output;

[0021] The fuzzy control output is optimized to generate a control instruction.

[0022] In another aspect of the application, the calculation of the concentration deviation between the actual concentration of outlet gas and the preset concentration of outlet gas further comprises:

[0023] The concentration difference between the actual concentration of outlet gas and the preset concentration of outlet gas is calculated, and the concentration difference is calculated by using the following formula:

[0024] ;

[0025] Wherein, denotes the concentration difference value, denotes the measured value of the outlet gas concentration, denotes the preset value of the outlet gas concentration.

[0026] In another aspect of the present application, preferably, the calculation of the concentration deviation between the measured value of the outlet gas concentration and the preset value of the outlet gas concentration further comprises:

[0027] calculating the change rate of the deviation between the measured value of the outlet gas concentration and the preset value of the outlet gas concentration, the change rate of the deviation being calculated using the following formula:

[0028] ;

[0029] wherein, denotes the change rate of the concentration deviation, denotes the change speed of the concentration deviation per unit time, denotes the concentration difference value at the i-th sampling time, denotes the concentration difference value at the (i-1)-th sampling time, denotes the time interval between two consecutive sampling points.

[0030] In another aspect of the present application, preferably, the fuzzy processing of the concentration difference value, the change rate of the deviation and the cumulative amount of the deviation as input variables respectively comprises:

[0031] adopting membership functions to set the concentration difference value state subset, the change rate of the deviation state subset and the cumulative amount of the deviation state subset respectively, to obtain a corresponding relationship;

[0032] according to the corresponding relationship, performing membership degree calculation on the concentration difference value, the change rate of the deviation and the cumulative amount of the deviation respectively, to obtain the fuzzy state of the concentration difference value, the fuzzy state of the change rate of the deviation and the fuzzy state of the cumulative amount of the deviation respectively.

[0033] In another aspect of the present application, preferably, the adoption of membership functions to set the concentration difference value state subset, the change rate of the deviation state subset and the cumulative amount of the deviation state subset respectively comprises:

[0034] dividing the concentration difference value into several concentration difference value state subsets, the concentration difference value state subsets including negative large, negative small, zero, positive small and positive large;

[0035] dividing the change rate of the deviation into several change rate of the deviation state subsets, the change rate of the deviation state subsets including fast drop, slow drop, stable, slow rise and fast rise;

[0036] dividing the cumulative amount of the deviation into several cumulative amount of the deviation state subsets, the cumulative amount of the deviation state subsets including negative cumulative large, negative cumulative small, zero cumulative, positive cumulative small and positive cumulative large.

[0037] In another aspect of the present application, preferably, the preset fuzzy rule base comprises a plurality of fuzzy rules representing the relationship between the fuzzy state of the concentration difference, the fuzzy state of the deviation change rate and the fuzzy state of the deviation cumulative amount and the corresponding control instruction.

[0038] In another aspect of the present application, preferably, the fuzzy inference is performed according to the preset fuzzy rule base to obtain the fuzzy control output, comprising:

[0039] The fuzzy state of the concentration difference, the fuzzy state of the deviation change rate and the fuzzy state of the deviation cumulative amount are matched with the preset fuzzy rule base, the matched fuzzy rule is determined by taking the minimum value method, and the fuzzy control output is obtained.

[0040] In another aspect of the present application, preferably, the fuzzy control output is optimized to generate the control instruction, comprising:

[0041] The original membership value corresponding to the fuzzy rule matched with the input variable is obtained;

[0042] The adjustment coefficient is calculated by using a proportional function according to the membership value and the original membership value;

[0043] The fuzzy control output is optimized according to the adjustment coefficient to generate the control instruction.

[0044] In another aspect of the present application, preferably, the original membership value is the intermediate value of the corresponding state subset;

[0045] The adjustment coefficient is obtained by weighted calculation according to the preset weights of the three input variables and the respective sub-adjustment coefficients.

[0046] In another aspect of the present application, preferably, the execution module comprises a formal pump and a plurality of standby pumps of the desulfurization slurry circulating system;

[0047] According to the control instruction, the output of the desulfurization slurry circulating system is adjusted, comprising:

[0048] When the control instruction is to reduce the output, the plurality of standby pumps are stopped in sequence;

[0049] When the control instruction is to increase the output, the plurality of standby pumps are started in sequence.

[0050] (Three) beneficial effects

[0051] The above technical solutions of the present application have the following beneficial technical effects:

[0052] The application realizes dynamic and intelligent control of the desulfurization process by collecting the actual concentration of the outlet gas of the desulfurization system in real time, calculating the deviation between the outlet gas concentration and the preset value, automatically generating a control instruction based on the deviation, and adjusting the output of the slurry circulating system. The phenomenon of excessive or insufficient slurry flow in the traditional system is effectively avoided, the energy consumption of the circulating pump is significantly reduced, the purpose of energy saving and emission reduction is achieved, and the service life of the circulating pump is prolonged. The desulfurization system can still operate stably when the load fluctuates and the working condition changes, the concentration of sulfur dioxide in the outlet gas is always maintained within the set range, the desulfurization efficiency is improved, and the more stringent environmental protection emission requirements are met. BRIEF DESCRIPTION OF DRAWINGS

[0053] Figure 1 is a schematic diagram of the overall structure of an embodiment of the application. DETAILED DESCRIPTION

[0054] To make the objectives, technical solutions, and advantages of the present application clearer, further detailed descriptions will be given below with reference to the embodiments and the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present application. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessary confusion of the concept of the present application.

[0055] In the accompanying drawings, schematic diagrams of structures according to embodiments of the present application are shown. These drawings are not drawn to scale, in which certain details are exaggerated for the purpose of clarity, and certain details can be omitted. The shapes of various regions, layers, and their relative sizes and positional relationships shown in the drawings are only exemplary, and in actuality, they can deviate due to manufacturing tolerances or technical limitations, and regions / layers with different shapes, sizes, and relative positions can be additionally designed by those skilled in the art according to actual needs.

[0056] Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments in the present application without making creative efforts fall within the scope of protection of the present application.

[0057] In addition, the technical features involved in different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0058] The present application will be described in more detail with reference to the accompanying drawings. In each of the drawings, like elements are denoted by like reference numerals for the purpose of clarity. Each part in the drawings is not drawn to scale.

[0059] Embodiment one

[0060] An automatic energy-saving adjusting device for a desulfurization slurry circulating system,Figure 1 The overall structure of one embodiment of the present application is shown in a schematic diagram as shown in the figure Figure 1 As shown, it comprises:

[0061] a data acquisition module, a control module and an execution module;

[0062] The data acquisition module, the data processing module, the control module and the execution module are connected in sequence to form a complete information acquisition, processing and execution closed-loop control system.

[0063] The data acquisition module is used to acquire the actual concentration of the outlet gas of the desulfurization system; the data acquisition module is responsible for real-time acquisition of the concentration of sulfur dioxide in the outlet gas of the desulfurization system and other related parameters, and uses high-precision gas sensors or analysis instruments to realize continuous monitoring of the concentration of the gas. The raw data collected are preprocessed, including signal filtering, data correction and outlier rejection, etc., to ensure that the control module obtains accurate and stable concentration data information.

[0064] The control module calculates the concentration deviation between the measured value of the outlet gas concentration and the preset value of the outlet gas concentration according to the measured value of the outlet gas concentration and the preset value of the outlet gas concentration, and outputs a control instruction according to the concentration deviation; the control module receives the measured value of the outlet gas concentration and compares it with the preset value of the outlet gas concentration to calculate the concentration deviation. The concentration deviation as a feedback signal is operated through a preset control algorithm, such as fuzzy control, PID control or adaptive control, to generate a control instruction that can reflect the current state and adjustment requirements of the system.

[0065] The execution module drives the actuator of the desulfurization slurry circulating system, such as a variable frequency pump, according to the control instruction output by the control module, to realize automatic adjustment of the slurry flow or circulating speed, thereby adjusting the output of the slurry circulating system.

[0066] In this embodiment, the calculation of the concentration deviation between the measured value of the outlet gas concentration and the preset value of the outlet gas concentration comprises:

[0067] The concentration difference between the measured value of the outlet gas concentration and the preset value of the outlet gas concentration is calculated, and the concentration difference is calculated using the following formula:

[0068] ;

[0069] Wherein, represents the concentration difference, represents the measured value of the outlet gas concentration, represents the preset value of the outlet gas concentration. The concentration difference value represents the degree to which the current gas concentration deviates from the set target, and is an important basis for the control system to determine the adjustment direction and intensity. The concentration difference value is calculated in a direct difference manner, that is, the measured concentration value is subtracted from the preset concentration value, thereby obtaining a scalar deviation value. The positive and negative and size of the concentration difference value directly reflect whether the actual desulfurization effect meets the expected requirements: if the concentration difference value is positive, it indicates that the measured concentration is higher than the preset value, which means that the desulfurization effect is not up to standard, and the system needs to increase the circulating intensity of the desulfurization slurry; if the concentration difference value is negative, it indicates that the actual concentration is lower than the preset value, and the system can appropriately reduce the circulating amount to save energy. As a feedback quantity, the concentration difference value ensures that the control command can dynamically adjust the working state of the slurry circulating system based on the actual working conditions in the closed-loop control process of the automatic energy-saving adjustment device, thereby improving the desulfurization efficiency and energy-saving effect.

[0070] Further comprising: calculating the change rate of the deviation between the measured value of the outlet gas concentration and the preset value of the outlet gas concentration, the change rate of the deviation being calculated using the following formula:

[0071] ;

[0072] wherein, represents the change rate of the concentration deviation, represents the change speed of the concentration deviation per unit time, represents the concentration difference value at the i-th sampling time, represents the concentration difference value at the i−1-th sampling time, represents the time interval between two consecutive sampling points.

[0073] In addition to calculating the instantaneous deviation of the outlet gas concentration, the control module also calculates the change rate of the concentration deviation to reflect the change trend of the deviation over time. The concentration deviation change rate represents the change speed of the concentration deviation per unit time, and can reveal the rising or falling trend of the outlet gas concentration deviation. The calculation of the change rate of the concentration deviation is based on the change of the concentration difference values of adjacent sampling points, and the difference between the concentration difference values at the i-th sampling time and the previous i−1-th sampling point is divided by the time interval between the two sampling points to obtain the change speed of the concentration deviation. This is equivalent to differentiating the concentration deviation signal, which reflects the change rate of the deviation over time. Not only can it help the control module to identify the trend change of the concentration deviation, such as whether the deviation is rapidly increasing or gradually decreasing, but also can assist the adjustment system in controlling parameters, making the system response more forward-looking and adaptive. Through monitoring the change rate of the deviation, the system can achieve more sensitive adjustment, avoid over-adjustment or under-adjustment caused by sharp fluctuations in the concentration deviation, and thereby improve the control stability and energy-saving effect of the desulfurization slurry circulating system.

[0074] Further comprising: calculating a deviation cumulative amount between the outlet gas concentration measured value and the outlet gas concentration preset value, the deviation cumulative amount is calculated by using the following formula:

[0075] ;

[0076] Wherein, represents the cumulative amount of concentration deviation, represents the total amount of deviation accumulated from the start of sampling to the current time, i represents the sampling point number, k represents the total number of sampling points represents the concentration difference value at the i-th sampling time, represents the time interval between two consecutive sampling points. The concentration deviation cumulative amount is obtained by multiplying the concentration difference value at each sampling time by the corresponding time interval and then adding up, which represents the total cumulative amount of deviation from the start of sampling to the current time. The concentration deviation cumulative amount not only reveals the historical accumulation trend of the deviation, but also reflects the degree of long-term deviation of the system from the preset value. Through the concentration deviation cumulative amount, the control module can more comprehensively evaluate the running state of the desulfurization system, compensate for the existing continuous deviation, and avoid the performance decline caused by long-term deviation.

[0077] In this embodiment, according to the concentration deviation, a control instruction is output, including:

[0078] The concentration difference value, the deviation change rate and the deviation cumulative amount are respectively subjected to fuzzy processing, including:

[0079] The membership functions are used to set the concentration difference value state subset, the deviation change rate state subset and the deviation cumulative amount state subset respectively, and the corresponding relationship is obtained; the concentration difference value is divided into several concentration difference value state subsets, including negative large, negative small, zero, positive small and positive large; which correspond to different degrees of concentration deviation from significantly low to significantly high, facilitating the capture of the amplitude and direction of the system deviation.

[0080] The deviation change rate is also divided into five state subsets, namely, fast decline, slow decline, stable, slow rise and fast rise, which reflect the dynamic change trend of the concentration deviation with time, helping the system to judge whether the deviation is rapidly decreasing, slowly decreasing, remaining unchanged or increasing, so as to realize sensitive capture of the change of the system state.

[0081] The deviation cumulative amount is divided into five state subsets, namely, negative cumulative large, negative cumulative small, zero cumulative, positive cumulative small and positive cumulative large, which represent the accumulation trend and size of the deviation in a period of time, and can reflect the cumulative effect of the long-term deviation of the system from the set value, assist the control strategy to compensate for the historical error, and avoid the performance decline caused by long-term deviation.

[0082] According to the correspondence, membership degrees of the concentration difference, the deviation change rate and the deviation accumulation are calculated respectively, and fuzzy states of the concentration difference, the deviation change rate and the deviation accumulation are obtained respectively.

[0083] The membership function reflects the degree of the input variable belonging to each state subset by mapping the continuous input value to the membership value between 0 and 1, and realizes the fuzzy expression of the input variable. For the concentration difference, the system maps the measured value thereof to the membership degrees on the state subsets of negative large, negative small, zero, positive small and positive large according to the preset membership function. For example, when the concentration difference is large and negative, the membership degree thereof on the state subset of negative large is close to 1, and the membership degrees thereof on the other state subsets tend to 0. If the concentration difference is an intermediate value, the membership degrees thereof can be distributed on multiple adjacent state subsets at the same time, realizing the smooth fuzzy processing.

[0084] Similarly, the measured value of the deviation change rate is mapped to the state subsets of fast falling, slow falling, stable, slow rising and fast rising by the corresponding membership function. The size of the membership degree represents the matching degree of the current deviation change rate and each state subset, and helps the system to accurately capture the dynamic trend of the deviation.

[0085] For the deviation accumulation, the membership function is also used to map the accumulated deviation value to the membership degrees on the state subsets of negative accumulation large, negative accumulation small, zero accumulation, positive accumulation small and positive accumulation large. The state of the long-term accumulated deviation can be quantified, and necessary fuzzy information is provided for the subsequent fuzzy reasoning.

[0086] Through the above membership degree calculation, the membership values of the three input variables on the state subsets can be obtained, corresponding to the corresponding state subsets.

[0087] According to the preset fuzzy rule base, fuzzy reasoning is performed to obtain a fuzzy control output; the preset fuzzy rule base includes a plurality of fuzzy rules, and the fuzzy rules represent the relationship between the fuzzy states of the concentration difference, the deviation change rate and the deviation accumulation and the corresponding control instructions; the fuzzy rule base includes a plurality of rules, and each rule describes the corresponding relationship between the fuzzy states of the three input variables and the corresponding control output, and constitutes a mapping system between the input and the output.

[0088] According to the preset fuzzy rule base, fuzzy reasoning is performed to obtain a fuzzy control output, including:

[0089] The fuzzy states of the concentration difference, the deviation change rate and the deviation accumulation are matched with the preset fuzzy rule base, the matched fuzzy rule is determined by taking the minimum value method, and the fuzzy control output is obtained.

[0090] The fuzzy state of the current input variable is matched with the precondition of each fuzzy rule. In the matching process, the minimum value method is used to calculate the minimum value of the membership degree corresponding to each input variable as the activation degree of the rule, that is, the triggering strength of the fuzzy rule. It is ensured that the activation degree of the fuzzy rule does not exceed the membership degree of any single input state, which meets the intersection operation principle of fuzzy logic.

[0091] According to all activation degrees and their corresponding control outputs, a fuzzy control output is formed, reflecting the result of the comprehensive action of multiple rules under the current running state of the system. Considering the amplitude, trend and historical cumulative effect of the concentration deviation, intelligent adjustment of the desulfurization slurry circulating system is realized. Not only the control precision and flexibility are improved, but also the adaptability and robustness to complex working conditions are enhanced, effectively guaranteeing the dual goals of desulfurization efficiency and energy saving performance.

[0092] The fuzzy control output obtained through fuzzy reasoning is further introduced into an optimization processing step to improve the precision of the control instruction and the response performance of the system. The fuzzy control output is optimized to generate a control instruction, including:

[0093] Obtaining the original membership value corresponding to the fuzzy rule matched with the input variable, the original membership value being the intermediate value of the corresponding state subset;

[0094] According to the membership value and the original membership value, a proportional function is used to calculate an adjustment coefficient; the adjustment coefficient is a comprehensive adjustment coefficient, which is calculated according to the preset weights of the three input variables and their respective adjustment coefficients. The adjustment coefficient makes the fuzzy control output more consistent with the actual working condition and the system dynamic change. Through the introduction of the adjustment coefficient, the influence of some rules can be flexibly amplified or reduced, the response ability to the change of key input variables is enhanced, and the accuracy and stability of the control output are optimized.

[0095] According to the adjustment coefficient, the fuzzy control output is optimized to generate a control instruction.

[0096] The execution module adjusts the output of the desulfurization slurry circulating system according to the control instruction, and the execution module includes a formal pump and multiple standby pumps of the desulfurization slurry circulating system;

[0097] According to the control instruction, the output of the desulfurization slurry circulating system is adjusted, including:

[0098] When the control instruction is to reduce the output, the multiple standby pumps are stopped in turn;

[0099] When the control instruction is to increase the output, the multiple standby pumps are started in turn.

[0100] When the control instruction indicates to reduce the output of the slurry circulating system, the execution module first stops the multiple standby pumps in turn, gradually reducing the circulating flow of the system, thereby effectively reducing the energy consumption and operating cost of the pump. During the process of stopping the standby pump, the system ensures the continuity and stability of the slurry circulation, avoiding the sudden reduction of flow or system fluctuation caused by pump shutdown.

[0101] Conversely, when the control instruction indicates to increase the system output, the execution module starts the standby pumps in turn, gradually increasing the slurry circulating flow, meeting the demand of the desulfurization process for the increase of slurry flow. The sequential start of standby pumps ensures the load balance of the system, avoids the system impact and equipment damage caused by sudden increase of flow, and improves the adaptability and response speed of the system.

[0102] By adopting the scheme of formal pump working in cooperation with multiple standby pumps, the execution module not only improves the reliability and redundancy of the desulfurization slurry circulating system, but also realizes the hierarchical management and energy-saving regulation of the pump group. The design enables the system to flexibly adjust the output according to the real-time working condition, ensuring the stability of the desulfurization effect and the realization of the energy-saving goal.

[0103] In addition, the control logic of the execution module can combine the running state and life management of the pump to realize reasonable pump group switching, prolong the service life of the equipment, and reduce the maintenance cost.

[0104] It should be understood that the above specific embodiments of the present application are only used for illustrative or explanatory purposes of the principles of the present application, and do not constitute a limitation on the present application. Therefore, any modification, equivalent replacement, improvement, etc. made without departing from the spirit and scope of the present application shall be included in the protection scope of the present application. In addition, the appended claims of the present application are intended to cover all variations and modifications falling within the scope and boundary of the appended claims, or the equivalent forms of such scope and boundary.

[0105] In the above description, the technical details such as the patterning, etching, etc. of each layer are not described in detail. However, those skilled in the art should understand that the layers, regions, etc. with the required shape can be formed by various means in the prior art. In addition, those skilled in the art can also design methods that are not exactly the same as the methods described above in order to form the same structure.

[0106] The present application has been described above with reference to embodiments thereof. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present application. The scope of the present application is defined by the appended claims and their equivalents. Those skilled in the art can make various substitutions and modifications without departing from the scope of the present application, and such substitutions and modifications shall fall within the scope of the present application.

[0107] Although the embodiments of the present application have been described in detail, it should be understood that various changes, substitutions and alterations can be made hereto without departing from the spirit and scope of the application.

[0108] Obviously, the above-described embodiments are only examples for clearly illustrating the present application, but not for limiting the embodiments. Based on the above description, other different forms of changes or variations can be made by those skilled in the art. Here, it is not necessary or possible to enumerate all the embodiments. The obvious changes or variations derived from the present application are still within the protection scope of the present application.

Claims

1. A desulfurization slurry circulating system automatic energy-saving regulating device, characterized in that, The application relates to a desulfurization system control method and device. The data acquisition module, the data processing module, the control module and the execution module are sequentially connected. The data acquisition module is used for collecting the actual concentration of outlet gas of a desulfurization system. The control module calculates the concentration deviation between the actual concentration of outlet gas and the preset concentration of outlet gas according to the actual concentration of outlet gas and the preset concentration of outlet gas, and outputs a control instruction according to the concentration deviation. The execution module adjusts the output of a desulfurization slurry circulating system according to the control instruction. The calculation of the concentration deviation between the actual concentration of outlet gas and the preset concentration of outlet gas further comprises the following steps: The deviation accumulation between the actual concentration of outlet gas and the preset concentration of outlet gas is calculated, and the deviation accumulation is calculated by the following formula: The concentration difference between the actual concentration of outlet gas and the preset concentration of outlet gas is calculated, and the concentration difference is calculated by the following formula: ； wherein, represents the cumulative amount of concentration deviation, represents the total amount of deviation accumulated from the start of sampling to the current time, i represents the sampling point serial number, and k represents the total number of sampling points represents the concentration difference value at the i-th sampling time, represents the time interval between two consecutive sampling points; The deviation change rate between the actual concentration of outlet gas and the preset concentration of outlet gas is calculated, and the deviation change rate is calculated by the following formula: ； wherein, represents a concentration difference, represents an actual measured value of the concentration of the outlet gas, represents a preset value of the concentration of the outlet gas; The control instruction is output according to the concentration deviation, and the method comprises the following steps: ； wherein, denotes the rate of change of the concentration deviation, denotes the rate of change of the concentration deviation per unit of time, denotes the concentration difference at the i-th sampling instant, denotes the concentration difference at the i-1-th sampling instant, denotes the time interval between two consecutive sampling points; The concentration difference, the deviation change rate and the deviation accumulation are respectively subjected to fuzzy processing by taking them as input variables, and the method comprises the following steps: Membership functions are used to set the concentration difference state subset, the deviation change rate state subset and the deviation accumulation state subset, and a corresponding relationship is obtained. The concentration difference, the deviation change rate and the deviation accumulation are subjected to membership degree calculation according to the corresponding relationship, and the fuzzy state of the concentration difference, the fuzzy state of the deviation change rate and the fuzzy state of the deviation accumulation are obtained. Fuzzy inference is performed according to a preset fuzzy rule base, and a fuzzy control output is obtained. The fuzzy control output is subjected to optimization processing, and a control instruction is generated, and the method comprises the following steps: The original membership degree value corresponding to the fuzzy rule matched with the input variable is obtained. An adjustment coefficient is calculated by using a proportional function according to the membership degree value and the original membership degree value. The fuzzy control output is subjected to optimization processing according to the adjustment coefficient, and a control instruction is generated. The original membership degree value is the middle value of the corresponding state subset. The adjustment coefficient is obtained by weighted calculation according to the weights of the three input variables and the respective sub-adjustment coefficients. The membership functions are used to set the concentration difference state subset, the deviation change rate state subset and the deviation accumulation state subset, and the method comprises the following steps:

2. The automatic energy-saving adjusting device for desulfurization slurry circulating system according to claim 1, characterized in that, The concentration difference is divided into a plurality of concentration difference state subsets, and the concentration difference state subsets comprise negative large, negative small, zero, positive small and positive large. The deviation change rate is divided into a plurality of deviation change rate state subsets, and the deviation change rate state subsets comprise fast falling, slow falling, stable, slow rising and fast rising. The deviation accumulation is divided into a plurality of deviation accumulation state subsets, and the deviation accumulation state subsets comprise negative accumulation large, negative accumulation small, zero accumulation, positive accumulation small and positive accumulation large. ​ 3. The automatic energy-saving adjusting device for desulfurization slurry circulating system according to claim 2, characterized in that, The preset fuzzy rule base includes a plurality of fuzzy rules, and the fuzzy rules represent the relationship between the fuzzy state of the concentration difference value, the fuzzy state of the deviation change rate, the fuzzy state of the deviation cumulative amount, and the corresponding control instruction.

4. The automatic energy-saving adjusting device for desulfurization slurry circulating system according to claim 3, characterized in that, The fuzzy inference is performed according to the preset fuzzy rule base to obtain a fuzzy control output, including: The fuzzy state of the concentration difference value, the fuzzy state of the deviation change rate, and the fuzzy state of the deviation cumulative amount are matched with the preset fuzzy rule base, the matched fuzzy rule is determined by using the minimum value method, and the fuzzy control output is obtained.

5. The automatic energy-saving adjusting device for desulfurization slurry circulating system according to claim 1, characterized in that, The execution module includes a formal pump and a plurality of standby pumps of the desulfurization slurry circulating system. According to the control instruction, the output of the desulfurization slurry circulating system is adjusted, including: When the control instruction is to reduce the output, the plurality of standby pumps are stopped in sequence; When the control instruction is to increase the output, the plurality of standby pumps are started in sequence.

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