Environment-friendly island safety intelligent control system and control method

Abstract

The invention provides a safe and intelligent control system for an environment-friendly island. The safe and intelligent control system comprises a dry desulfurization system, wherein the dry desulfurization system comprises a desulfurization tower, a mixer and a desulfurizer injection system; a control valve is arranged at the outlet of the desulfurizing tower, the inlet end of the mixer is communicated with flue gas, the outlet end of the mixer is connected with the bottom of the desulfurizing tower, and the side surface of the inlet end is connected with a desulfurizing blowing system; a control method of the control system is provided, and a solution is obtained through scheduling control. The mixer is arranged in front of the desulfurization tower, so that the desulfurization agent is uniformly mixed, the desulfurization effect is good, the desulfurization system is stable, analysis of the control method is facilitated, and the control method is high in adaptability, meets market requirements, is beneficial to popularization and use and is high in synergism; according to the obtained solution, on the basis of reasonability and feasibility, automatic and optimized control conditions of regulation and control of the environment-friendly island are obtained, control is carried out, and the operation quality of the environment-friendly island is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of waste gas treatment, and in particular to a safe intelligent control system and a control method for an environmental protection island. Background Art

[0002] Gas boiler production process will produce O2, CO, SO2, CO2 and NO x The existing hot desulfurization methods for waste gas contain a variety of pollutants and dust. Most of them use wet desulfurization systems for desulfurization. However, this method of desulfurization will use a large amount of water, resulting in a waste of water resources. The by-products produced by desulfurization, such as gypsum, are difficult to handle, and the equipment and maintenance costs are high.

[0003] In the existing SDS dry desulfurization, the desulfurizer is directly sprayed into the flue. The desulfurizer runs along with the flue gas, and the desulfurizer and the flue gas react to achieve desulfurization. However, the existing desulfurizer is directly sprayed into the flue, which is prone to uneven spraying, affecting the desulfurization effect and having a great impact on the desulfurization control of the environmental protection island.

[0004] The existing control methods have poor adaptability and are difficult to meet applications with special needs. In the existing technology, working conditions are simulated through models. For example, for user needs, the needs have different preferences. For example, scenarios requiring maximizing processing efficiency or minimizing production costs, the model optimization direction corresponding to each need is different, and different models need to be used. The existing control methods have poor adaptability and cannot meet market demand. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an environmental island safety intelligent control system and control method.

[0006] To achieve the above object, the present invention adopts the following technical solutions: An environmental island safety intelligent control system comprises a boiler, a denitration system, an air preheater, a first dust removal device, a dry desulfurization system, a fan, a second dust removal device and a chimney connected in sequence; the dry desulfurization system comprises a desulfurization tower, a mixer and a desulfurizer injection system; a control valve is arranged at the outlet of the desulfurization tower; The inlet end of the mixer is connected to the flue gas, the outlet end of the mixer is connected to the bottom of the desulfurization tower, and the side of the inlet end is also connected to the desulfurization injection system; The mixer comprises a shell, a first pipe, a mixing chamber and a second pipe, the upper end of the first pipe is an inlet end, the lower end of the first pipe is inserted into the shell and passes through the mixing chamber, the mixing chamber is arranged in the shell, the end surface of the upper end of the mixing chamber has an air inlet, the side of the mixing chamber is connected to one end of the second pipe, the other end of the second pipe is an outlet end, and the outlet end passes through the shell; It also includes a monitoring system and a controller. The monitoring system is electrically connected to the controller, and the denitrification system, the fan, the sulfiding agent injection system and the control valve are electrically connected to the controller.

[0007] Furthermore, the mixing chamber is a mixing disk, which is hollow inside, and the middle part of the lower end surface of the mixing disk is fixedly connected to the outer surface of the first pipe. A circular hole is provided at the center of the upper end surface of the mixing disk, and the diameter of the circular hole is larger than the outer diameter of the first pipe.

[0008] Furthermore, the mixing disk is in a dish shape, and one end of the second pipe is connected to the side surface of the lower portion of the mixing disk.

[0009] Furthermore, the lower bottom of the shell is hemispherical.

[0010] Furthermore, the outlet end is connected to the desulfurization tower via a reducing flue, and the reducing flue includes a reducing section and a connecting section connected in sequence, the reducing section gradually decreases in diameter from the connection with the outlet end, one end of the connecting section is connected to the minimum diameter end of the reducing section, and the other end of the connecting section is connected to the desulfurization tower.

[0011] Furthermore, the monitoring system includes a denitrification inlet temperature collection device, a denitrification outlet temperature collection device, a denitrification inlet nitrogen oxide concentration detection device, a denitrification outlet nitrogen oxide concentration detection device, a desulfurization inlet temperature collection device, a desulfurization outlet temperature collection device, a desulfurization inlet SO2 concentration detection device and a desulfurization outlet SO2 concentration detection device; the denitrification inlet temperature collection device and the denitrification inlet nitrogen oxide concentration detection device are arranged upstream of the denitrification system, and the denitrification outlet temperature collection device and the denitrification outlet nitrogen oxide concentration detection device are arranged downstream of the denitrification system; the desulfurization inlet temperature collection device and the denitrification inlet SO2 concentration detection device are arranged upstream of the desulfurization system, and the desulfurization outlet temperature collection device and the desulfurization outlet SO2 concentration detection device are arranged downstream of the desulfurization system.

[0012] A control method for an environmental island safety intelligent control system comprises the following steps: S1: Preliminary preparation; S11: Collect historical data; Collect monitoring data and equipment operating parameters obtained by the monitoring system; the monitoring data include denitrification inlet temperature, denitrification outlet temperature, denitrification inlet nitrogen oxide concentration, denitrification outlet nitrogen oxide concentration, desulfurization inlet temperature, desulfurization outlet temperature, desulfurization inlet SO2 concentration, desulfurization outlet SO2 concentration; Equipment operating parameters include the opening of the control valve, the wind speed of the fan, the ammonia injection flow rate of the denitrification system, and the injection flow rate of the desulfurization agent injection system; S12: constructing a denitrification prediction model and a desulfurization prediction model respectively; S2: Scheduling rule formulation; Scheduling rules include soft constraints and hard constraints; S3: Generate different allocation plans based on the scheduling engine scheduling allocation conditions; The conditions include the opening of the control valve, the wind speed of the fan, and the ammonia injection flow rate of the denitrification system; S4: Determine whether the allocation plan is a solution and obtain the final solution; S41: Obtain a solution for the denitrification system; First, the control valve opening, fan speed, and ammonia injection flow rate of the denitrification system in the distribution plan that violate the hard constraints are screened out and eliminated; Then, the conditions of the remaining allocation plans are used to predict and calculate whether the nitrogen oxide concentration at the denitrification outlet is less than the target threshold value using the denitrification prediction model, and the allocation plans with a concentration greater than the target domain value of nitrogen oxide concentration are eliminated, and the remaining allocation plans are solutions; The total score of solutions for the denitrification system is then calculated based on the soft constraints; Finally, the solutions for the denitrification system are ranked from smallest to largest according to their total scores; S42: List the injection flow of the desulfurizer injection system based on the scheduling engine; S43: Obtain a solution for the desulfurization system; First, the injection flow rate that violates the hard constraints is screened and eliminated; Then, the remaining injection flow rates are sequentially brought into the desulfurization prediction model to predict and calculate the SO2 concentration at the desulfurization outlet. The control valve opening, fan speed, and actual desulfurization inlet temperature in the first-ranked allocation plan are first used as features to predict whether the SO2 concentration at the desulfurization outlet violates the hard constraint. The allocation plans that violate the hard constraint are eliminated, and the remaining allocation plans and injection flow rates are obtained as the solution for the desulfurization system. Setting a quantity threshold of desulfurization system solutions, and comparing whether the quantity of desulfurization system solutions obtained exceeds the quantity threshold; If it exceeds, the total score of the desulfurization system solution is calculated according to the actual soft constraints, and the total scores are sorted from small to large. The one ranked first is the final solution; If it does not exceed, the control valve opening and the wind speed of the fan in the allocation plan of the solution of the second-ranked denitrification system are used to predict and obtain the solution of the desulfurization system again. The quantity of the two desulfurization system solutions is compared with the quantity threshold to determine whether it exceeds the quantity threshold. If it exceeds the threshold, the final solution is obtained normally. If it does not exceed, the control valve opening and the wind speed of the fan in the allocation plan of the next-ranked denitrification system solution are used recursively in sequence until the final solution is obtained. S5: Adjust and control according to the conditions in the final solution; The control valve, the fan, the denitrification system and the sulfidizing agent injection system are controlled and regulated according to the opening of the control valve, the wind speed of the fan, the ammonia injection flow of the denitrification system and the injection flow of the desulfurization agent injection system in the final solution.

[0013] Furthermore, hard constraints include: 1) The nitrogen oxide concentration at the denitration outlet is less than the target nitrogen oxide concentration threshold; the target nitrogen oxide concentration threshold can be customized; 2) The opening of the control valve is between the maximum critical value and the minimum critical value, and the opening of the control valve is between 0-1; 3) The wind speed of the fan does not exceed the maximum wind speed of the fan; 4) The ammonia injection flow rate of the denitrification system shall not exceed the maximum ammonia injection flow rate of the denitrification system, and the maximum ammonia flow rate shall be configured according to the actual situation; 5) The SO2 concentration at the desulfurization outlet is less than the target SO2 concentration threshold; 6) The injection flow rate shall not exceed the maximum injection flow rate of the desulfurizer injection system; Soft constraints include: 1) Maximize treatment efficiency; that is, the concentration of nitrogen oxides at the denitrification outlet is minimized, and the concentration of SO2 at the desulfurization outlet is minimized; 2) Minimize production costs; that is, the ammonia injection flow rate of the denitrification system is minimized, and the injection flow rate of the desulfurization agent injection system is minimized; 3) Maximize the processing speed; that is, the processing flow is the largest, processing flow = control valve opening * control valve cross-sectional area * fan wind speed; If the solution calculated by the scheduling engine violates the hard constraints, the solution does not comply with the rules. The soft constraints are sorted and the sorted numbers are scored. To maximize the processing efficiency, the nitrogen oxide / SO2 concentration at the denitrification outlet is sorted from small to large and scored. To minimize the production cost, the ammonia injection flow of the denitrification system / the injection flow of the desulfurization agent injection system is sorted from small to large and scored. To maximize the processing speed, the processing flow is sorted from large to small and scored. According to the actual soft constraints set, the scores of the solutions are added up to get the total score, and finally the final solution is obtained by sorting from small to large according to the total score.

[0014] Furthermore, it also includes: S121: historical data preprocessing; S122: Select features; The denitrification prediction model selects the denitrification inlet temperature, the denitrification inlet nitrogen oxide concentration, the denitrification outlet nitrogen oxide concentration, the opening of the control valve, the wind speed of the fan, and the ammonia injection flow rate of the denitrification system as key features; The desulfurization prediction model selects desulfurization inlet temperature, desulfurization inlet SO2 concentration, desulfurization outlet SO2 concentration, control valve opening, fan wind speed, and desulfurization agent injection system injection flow rate as key features; S123: Build a prediction model using linear regression.

[0015] Furthermore, a new strategy is also included: when the control valve opening and fan wind speed in the allocation plan of the fifth-ranked denitrification system solution are used for prediction and the quantity threshold is still not met, the engine scheduling allocation conditions are rescheduled to generate different allocation plans, obtain a new denitrification system solution, and calculate the final solution.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention arranges a mixer in front of the desulfurization tower, uses the mixer to fully mix the flue gas with the desulfurizer sprayed by the spraying system, and then passes the mixed gas into the desulfurization tower for desulfurization, thereby ensuring that the desulfurizer is mixed evenly, the desulfurization effect is good, the desulfurization system is stable, and the analysis of the control method is facilitated, the control is convenient, and the accuracy of the control method is ensured. (2) The mixing chamber of the mixer of the present invention is a mixing disk, and a circular hole is provided at the center of the end surface of the upper end of the mixing disk. The mixing disk is disc-shaped, ensuring that the flue gas and the desulfurizer can collide with the inner wall of the mixing disk in the mixing disk, resulting in trajectory changes, which is conducive to mixing. At the same time, the use of a disc-shaped dish with a large top and a small bottom ensures that after the flue gas enters, the flow speed changes from fast to slow and then to fast, the collision frequency between gases increases, the mixing effect is improved, the component distribution is more uniform, and a better mixing effect is ensured. (3) The control method of the present invention can obtain a better solution that meets the needs through the soft constraints actually set. It does not need to optimize different models according to different demand scenarios to meet the use of different needs. The control method has strong adaptability, meets market demand, and is conducive to promotion and use. The desulfurization system and the denitrification system are controlled in a coordinated manner to ensure the safe control of the entire system with high synergy; the scheduling method is used for regulation to ensure that the solution obtained is based on rationality and feasibility, and the control conditions of the environmental protection island are obtained to achieve automation and optimization, and to control and ensure the operation quality of the environmental protection island. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1This is a schematic diagram of the structure of an intelligent safety control system for an environmental protection island according to Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of the three-dimensional structure of the mixer according to Example 1 of the present invention; Figure 3 A top view of a mixer according to Embodiment 1 of the present invention; Figure 4 AA cross-sectional view of the mixer of Example 1 of the present invention; Figure 5 This is a flow chart of the steps of the control method of the environmental island safety intelligent control system according to the second embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to provide a further understanding of the purpose, structure, features, and functions of the present invention, the following detailed description is given in conjunction with the embodiments. Example

[0019] like Figure 1-Figure 4 , a safe and intelligent control system for an environmental island, comprising a boiler 1, a denitrification system 2, an air preheater 3, a first dust removal device 4, a dry desulfurization system, a fan 5, a second dust removal device 6 and a chimney 7 connected in sequence; the air preheater 3 uses the flue gas temperature of the denitrification system 2 to preheat the air and pass the hot air into the boiler 1, and the waste heat is used to improve the utilization rate of energy and reduce energy consumption. The dry desulfurization system includes a desulfurization tower 8, a mixer 100 and a desulfurizer injection system 10; a control valve 9 is provided at the outlet of the desulfurization tower 100, and the flow rate in the environmental island is controlled by the control valve 9, which is conducive to the coordinated control of the system. The dry desulfurization system reduces the use of water resources, has simple equipment, low maintenance costs, and easy to handle the generated by-products.

[0020] The inlet end 101 of the mixer 100 is connected to the flue gas, the outlet end 102 of the mixer 100 is connected to the bottom of the desulfurization tower 8, and the side of the inlet end 101 is also connected to the desulfurization injection system 10; the mixer 100 is used to fully mix the flue gas and the desulfurizer sprayed by the injection system 10, and then the mixed gas is passed into the desulfurization tower for desulfurization, thereby ensuring that the desulfurizer is mixed evenly, the desulfurization effect is good, the desulfurization system is stable, the analysis of the control method is beneficial, the control is convenient, and the accuracy of the control method is ensured.

[0021] The mixer 100 includes a housing 110, a first pipe 120, a mixing chamber 130, and a second pipe 140. The upper end of the first pipe 120 is an inlet end 101. The lower end of the first pipe 120 is inserted into the housing 110 and passes through the mixing chamber 130. The mixing chamber 130 is arranged in the housing 110. The end surface of the upper end of the mixing chamber 130 has an air inlet. The side of the mixing chamber 130 is connected to one end of the second pipe 140. The other end of the second pipe 140 is an outlet end 102. The outlet end 102 passes through the mixing chamber 130. out of the shell 110; using the desulfurization agent to be sprayed at the same time, the flue gas carrying the desulfurization agent enters the shell 110 from the upper end of the first pipe 120, hits the inner cavity of the shell 110 from the bottom of the mixing chamber 130, the running trajectory changes, and a vortex is generated to mix. The flue gas converges from the upper air inlet of the mixing chamber 130 into the mixing chamber 130, hits the cavity wall of the mixing chamber 130, and is finally output from the second pipe 140. The desulfurization spraying system 10 is used to spray and hit to change the running trajectory of the flue gas to generate a vortex, thereby ensuring that the desulfurization agent and the flue gas are evenly mixed, which is beneficial to the stability of the desulfurization.

[0022] It also includes a monitoring system and a controller, the monitoring system is electrically connected to the controller, and the denitration system 2, the fan 5, the sulfiding agent injection system 10 and the control valve 9 are electrically connected to the controller, so as to facilitate the transmission of data and signals, ensure the analysis and control of the control system, and ensure the normal control.

[0023] Furthermore, the mixing chamber is a mixing disc 130, which is hollow inside. The middle of the lower end surface of the mixing disc 130 is fixedly connected to the outer surface of the first pipe 120. A circular hole 131 is provided at the center of the upper end surface of the mixing disc. The diameter of the circular hole 131 is larger than the outer diameter of the first pipe 120. The mixing disc is firmly fixed, and the diameter of the mixing disc is smaller than the inner diameter of the housing 110, so as to ensure that the smoke can operate normally in the housing 110. When in use, the smoke is collected into the mixing chamber 130 through the circular hole 131 at the top. Furthermore, the mixing disk 130 is in a disc shape, ensuring that the flue gas and the desulfurizer can collide with the inner wall of the mixing disk in the mixing disk, resulting in a change in trajectory, which is conducive to mixing. At the same time, the use of a disc shape with a large top and a small bottom ensures that after the flue gas enters, the flow speed changes from fast to slow and then to fast again. The frequency of collisions between gases increases, which helps to improve the mixing effect, make the distribution of components more uniform, and ensure a better mixing effect. One end of the second pipe is connected to the side of the lower part of the mixing disk. It is ensured that the flue gas and the desulfurizer are evenly mixed and discharged normally, reducing the situation where the desulfurizer remains at the bottom of the mixing disk.

[0024] Furthermore, the bottom of the housing 110 is hemispherical. It ensures that the smoke enters the housing 110 and hits the spherical cavity, reducing the impact noise, and the smoke flows more evenly in the cavity, which helps to improve the mixing effect and reduce the generation of sediment. A cleaning hole can also be opened at the bottom of the housing and sealed with a seal. When cleaning is required, the seal is opened for cleaning. The hemispherical shape ensures a more uniform pressure distribution, reduces local stress concentration, improves the strength and durability of the structure, and prolongs the service life.

[0025] Furthermore, the outlet end 102 is connected to the desulfurization tower 8 through a reduced flue 200, and the reduced flue 200 includes a reduced section 210 and a connecting section 220 connected in sequence, the diameter of the reduced section 210 gradually decreases from the connection with the outlet end, one end of the connecting section 220 is connected to the minimum diameter end of the reduced section 210, and the other end of the connecting section 220 is connected to the desulfurization tower 8. The reduced flue 200 increases the speed of flue gas entering the desulfurization tower, avoids the deposition of the mixed desulfurizer, ensures that the desulfurizer is mixed evenly, and has a good and stable desulfurization effect, which is conducive to control.

[0026] Further, the monitoring system includes a denitration inlet temperature collection device, a denitration outlet temperature collection device, a denitration inlet nitrogen oxide concentration detection device, a denitration outlet nitrogen oxide concentration detection device, a desulfurization inlet temperature collection device, a desulfurization outlet temperature collection device, a desulfurization inlet SO2 concentration detection device, and a desulfurization outlet SO2 concentration detection device; the denitration inlet temperature collection device and the denitration inlet nitrogen oxide concentration detection device are arranged upstream of the denitration system, and the denitration outlet temperature collection device and the denitration outlet nitrogen oxide concentration detection device are arranged downstream of the denitration system; the desulfurization inlet temperature collection device and the denitration inlet SO2 concentration detection device are arranged upstream of the desulfurization system, and the desulfurization outlet temperature collection device and the desulfurization outlet SO2 concentration detection device are arranged downstream of the desulfurization system. It is convenient to collect and monitor the monitoring data of the monitoring system, and transmit the monitoring data to the control system to ensure the long-term stable operation of the control. Example

[0027] The control method of the environmental protection island safety intelligent control system includes the following steps: S1: Preliminary preparation; S11: Collect historical data; Collect monitoring data and equipment operating parameters obtained by the monitoring system; The monitoring data include denitrification inlet temperature, denitrification outlet temperature, denitrification inlet nitrogen oxide concentration, denitrification outlet nitrogen oxide concentration, desulfurization inlet temperature, desulfurization outlet temperature, desulfurization inlet SO2 concentration, desulfurization outlet SO2 concentration; The equipment operation parameters include the opening of the control valve, the wind speed of the fan, the ammonia injection flow rate of the denitrification system and the injection flow rate of the desulfurization agent injection system; they are obtained through the acquisition module of the control system.

[0028] S12: constructing a denitrification prediction model and a desulfurization prediction model respectively; S121: historical data preprocessing; Missing values ​​and outliers are removed, and subsequent normalization or standardization is performed after the processing is completed.

[0029] S122: Select features; The denitrification prediction model selects the denitrification inlet temperature, the denitrification inlet nitrogen oxide concentration, the denitrification outlet nitrogen oxide concentration, the opening of the control valve, the wind speed of the fan, and the ammonia injection flow rate of the denitrification system as key features; The desulfurization prediction model selects desulfurization inlet temperature, desulfurization inlet SO2 concentration, desulfurization outlet SO2 concentration, control valve opening, fan wind speed, and desulfurization agent injection system injection flow rate as key features; S123: Constructing a prediction model using linear regression; Important features can be randomly divided into training set and validation set in a ratio of 7:3; Train linear regression using the training set; Substitute the data of the training set into the linear regression equation: Y = β 0+ β 1 X 1+ β 2 X 2+…+ βnXn + ϵ; Among them, Y is the target variable, that is, the concentration of nitrogen oxides at the denitrification inlet or the concentration of SO2 at the desulfurization outlet; X1…X n is the key eigenvalue selected; β0…β n is the regression coefficient; ϵ is the error term. Ordinary Least Squares (OLS) is used to estimate the regression coefficient.

[0030] Use the validation set to evaluate the performance of the model; commonly used evaluation indicators include R², mean square error (MSE), etc. According to the evaluation results, adjust and optimize the model parameters and build a prediction model.

[0031] The present invention constructs a prediction model through linear regression, which is suitable for small sample data, reduces the amount of historical data collected and the time cost, has a fast model training and prediction speed, improves the prediction speed, and facilitates real-time regulation. A variety of programming languages ​​​​and libraries (such as Python's scikit-learn) provide linear regression implementations for easy and quick application.

[0032] S2: Scheduling rule formulation; Prepare scheduling rules for the scheduling engine; Optaplanner's rule engine can be used for calculations, and the scheduling rules can be formulated by customizing the drools rule descriptions in the built-in drools scripts in Optaplanner's rule engine.

[0033] The scheduling rules include soft constraints and hard constraints. The soft constraints are constraints that can be violated, while the hard constraints are constraints that cannot be violated. Hard constraints include: 1) The nitrogen oxide concentration at the denitrification outlet is less than the nitrogen oxide concentration target threshold; the nitrogen oxide concentration target threshold is customized.

[0034] 2) The opening of the control valve is between the maximum critical value and the minimum critical value, and the opening of the control valve is between 0-1; 3) The wind speed of the fan does not exceed the maximum wind speed of the fan; 4) The ammonia injection flow rate of the denitrification system shall not exceed the maximum ammonia injection flow rate of the denitrification system, and the maximum ammonia flow rate shall be configured according to the actual situation; 5) The SO2 concentration at the desulfurization outlet is less than the target SO2 concentration threshold; 6) The injection flow rate shall not exceed the maximum injection flow rate of the desulfurizer injection system.

[0035] Soft constraints include: 1) Maximize the treatment efficiency; that is, the concentration of nitrogen oxides at the denitrification outlet is minimized, and the concentration of SO2 at the desulfurization outlet is minimized.

[0036] 2) Minimize production costs; that is, the ammonia injection flow rate of the denitrification system is minimized, and the injection flow rate of the desulfurization agent injection system is minimized.

[0037] 3) Maximize the processing speed; that is, the processing flow is the largest, processing flow = control valve opening * control valve cross-sectional area * fan wind speed. The cross-sectional area of ​​the control valve is determined by the actual control valve itself, and the effective area of ​​the fluid channel inside the valve is an important parameter to measure the valve flow capacity and performance.

[0038] If the solution calculated by the scheduling engine violates a hard constraint, then the solution does not conform to the rule.

[0039] Sort the soft constraints and assign points to the sorted numbers. To maximize the treatment efficiency, sort and assign points according to the nitrogen oxide / SO2 concentration at the denitrification outlet from small to large. To minimize the production cost, sort and assign points according to the ammonia injection flow of the denitrification system / the injection flow of the desulfurization agent injection system from small to large. To maximize the treatment speed, sort and assign points according to the treatment flow from large to small. According to the soft constraints actually set, add up the points of the solutions to get the total score, and finally sort them from small to large according to the total score to get the final solution.

[0040] S3: Generate different allocation plans based on the scheduling engine's scheduling allocation conditions.

[0041] The conditions include the opening of the control valve, the wind speed of the fan, and the ammonia injection flow rate of the denitrification system.

[0042] The scheduling engine enumeration method allocates conditions to list possible combinations.

[0043] S4: Determine whether the allocation plan is a solution and obtain the final solution; S41: Obtain a solution for the denitrification system; First, the control valve opening, fan speed, and ammonia injection flow rate of the denitrification system in the distribution plan that violate the hard constraints are screened out and eliminated; Then, the conditions of the remaining allocation plans are used to use the denitrification prediction model to predict whether the nitrogen oxide concentration at the denitrification outlet is less than the target threshold value, and the allocation plans with a concentration greater than the target domain value of nitrogen oxides are eliminated, and the remaining allocation plans are solutions.

[0044] The total score of solutions for the denitrification system is then calculated based on the soft constraints; For example, when the soft constraint is only 1) maximizing the treatment efficiency, the NOx concentration at the denitration outlet is directly sorted from small to large and a serial number is assigned to each solution as the total score. The soft constraints include 1) maximizing the treatment efficiency; 2) minimizing the production cost; the NOx concentration at the denitration outlet and the ammonia injection flow rate of the denitration system are sorted and assigned points according to the scheduling rules, and the total score is added up.

[0045] Finally, the solutions for the denitrification system are ranked from smallest to largest according to their total scores.

[0046] S42: List the injection flow of the desulfurizer injection system based on the scheduling engine.

[0047] S43: Obtain a solution for the desulfurization system; First, the injection flows that violate the hard constraint 5) are screened out and eliminated; Then, the remaining injection flow rates are brought into the desulfurization prediction model in turn to predict the SO2 concentration at the desulfurization outlet. The control valve opening, fan speed, and actual desulfurization inlet temperature in the first-ranked allocation plan are used as features to predict whether the SO2 concentration at the desulfurization outlet is less than the SO2 concentration target threshold. The allocation plans that are greater than the target domain value of the desulfurization outlet SO2 concentration are eliminated to obtain the remaining allocation plans and injection flow rates as a solution to the desulfurization system.

[0048] A quantity threshold of desulfurization system solutions is set, for example, the quantity threshold is 10, and a comparison is made to see whether the quantity of desulfurization system solutions obtained exceeds the quantity threshold; If it exceeds, the total score of the desulfurization system solution is calculated according to the actual soft constraints, and the total scores are sorted from small to large, and the first one is the final solution. For example, when the soft constraint is only 1) maximizing the processing efficiency, the SO2 concentration at the desulfurization outlet is directly used to sort from small to large and the serial number is assigned to each solution as the total score. The soft constraints include 1) maximizing the processing efficiency; 2) minimizing the production cost; the desulfurization outlet SO2 concentration and the injection flow rate are sorted and scored according to the scheduling rules, and the total score is added.

[0049] If it does not exceed the limit, the control valve opening and fan speed in the allocation plan of the solution of the second-ranked denitrification system are used to predict and obtain the solution of the desulfurization system again. The quantity of the two desulfurization system solutions is compared with the quantity threshold to determine whether it exceeds the quantity threshold. If it exceeds the threshold, the final solution is obtained normally. If it does not exceed the threshold, the control valve opening and fan speed in the allocation plan of the next-ranked denitrification system solution are used recursively until the final solution is obtained.

[0050] Furthermore, a new strategy is set. When the control valve opening and fan speed in the allocation plan of the fifth ranked denitrification system solution are used for prediction and still cannot meet the quantity threshold, the engine scheduling allocation conditions are rescheduled to generate different allocation plans, obtain a new denitrification system solution, and calculate the final solution. Timely changes in calculations can avoid poor desulfurization and denitrification treatment effects of the obtained solution and ensure a better solution.

[0051] S5: Adjust and control according to the conditions in the final solution; The control valve, the fan, the denitrification system and the sulfidizing agent injection system are controlled and regulated according to the opening of the control valve, the wind speed of the fan, the ammonia injection flow of the denitrification system and the injection flow of the desulfurization agent injection system in the final solution.

[0052] The control method of the present invention can obtain a better solution that meets the needs through the soft constraints actually set. It does not need to optimize different models according to different demand scenarios to meet the use of different needs. The control method has strong adaptability, meets market demand, and is conducive to promotion and use. The desulfurization system and the denitrification system are controlled in a coordinated manner to ensure the safe control of the entire system with high synergy; the scheduling method is used for regulation to ensure that the solution obtained is based on rationality and feasibility, and the control conditions of the environmental protection island are obtained to achieve automation and optimization, and to control and ensure the operation quality of the environmental protection island.

[0053] The present invention has been described by the above-mentioned relevant embodiments, however, the above-mentioned embodiments are only examples for implementing the present invention. It must be pointed out that the disclosed embodiments do not limit the scope of the present invention. On the contrary, changes and modifications made without departing from the spirit and scope of the present invention are all within the scope of patent protection of the present invention.

Claims

1. An environmental island safety intelligent control system, comprising a boiler, a denitration system, an air preheater, a first dust removal device, a dry desulfurization system, a fan, a second dust removal device and a chimney connected in sequence; characterized in that: The dry desulfurization system includes a desulfurization tower, a mixer and a desulfurizer injection system; a control valve is provided at the outlet of the desulfurization tower. The inlet end of the mixer is connected to the flue gas, the outlet end of the mixer is connected to the bottom of the desulfurization tower, and the side of the inlet end is also connected to the desulfurization injection system; The mixer comprises a shell, a first pipe, a mixing chamber and a second pipe, the upper end of the first pipe is an inlet end, the lower end of the first pipe is inserted into the shell and passes through the mixing chamber, the mixing chamber is arranged in the shell, the end surface of the upper end of the mixing chamber has an air inlet, the side of the mixing chamber is connected to one end of the second pipe, the other end of the second pipe is an outlet end, and the outlet end passes through the shell; It also includes a monitoring system and a controller. The monitoring system is electrically connected to the controller, and the denitrification system, the fan, the sulfiding agent injection system and the control valve are electrically connected to the controller.

2. The environmental island safety intelligent control system according to claim 1, characterized in that: The mixing chamber is a mixing disk, which is hollow inside. The middle of the lower end surface of the mixing disk is fixedly connected to the outer surface of the first pipe. A circular hole is provided at the center of the upper end surface of the mixing disk, and the diameter of the circular hole is larger than the outer diameter of the first pipe.

3. The intelligent safety control system for an environmentally friendly island as claimed in claim 2, characterized in that: The mixing disk is in a dish shape, and one end of the second pipe is connected to the side surface of the lower part of the mixing disk.

4. The environmental island safety intelligent control system according to claim 1, characterized in that: The lower bottom of the shell is hemispherical.

5. The environmental island safety intelligent control system according to claim 1, characterized in that: The outlet end is connected to the desulfurization tower via a reducing flue, and the reducing flue includes a reducing section and a connecting section connected in sequence. The diameter of the reducing section gradually decreases from the connection with the outlet end, one end of the connecting section is connected to the minimum diameter end of the reducing section, and the other end of the connecting section is connected to the desulfurization tower.

6. The environmental island safety intelligent control system according to claim 1, characterized in that: The monitoring system includes a denitrification inlet temperature collection device, a denitrification outlet temperature collection device, a denitrification inlet nitrogen oxide concentration detection device, a denitrification outlet nitrogen oxide concentration detection device, a desulfurization inlet temperature collection device, a desulfurization outlet temperature collection device, a desulfurization inlet SO2 concentration detection device and a desulfurization outlet SO2 concentration detection device; the denitrification inlet temperature collection device and the denitrification inlet nitrogen oxide concentration detection device are arranged upstream of the denitrification system, and the denitrification outlet temperature collection device and the denitrification outlet nitrogen oxide concentration detection device are arranged downstream of the denitrification system; the desulfurization inlet temperature collection device and the denitrification inlet SO2 concentration detection device are arranged upstream of the desulfurization system, and the desulfurization outlet temperature collection device and the desulfurization outlet SO2 concentration detection device are arranged downstream of the desulfurization system.

7. A control method for an environmental island safety intelligent control system according to any one of claims 1 to 6, characterized in that: The following steps are involved: S1: Preliminary preparation; S11: Collect historical data; Collect monitoring data and equipment operating parameters obtained by the monitoring system; the monitoring data include denitrification inlet temperature, denitrification outlet temperature, denitrification inlet nitrogen oxide concentration, denitrification outlet nitrogen oxide concentration, desulfurization inlet temperature, desulfurization outlet temperature, desulfurization inlet SO2 concentration, desulfurization outlet SO2 concentration; Equipment operating parameters include the opening of the control valve, the wind speed of the fan, the ammonia injection flow rate of the denitrification system, and the injection flow rate of the desulfurization agent injection system; S12: constructing a denitrification prediction model and a desulfurization prediction model respectively; S2: Scheduling rule formulation; Scheduling rules include soft constraints and hard constraints; S3: Generate different allocation plans based on the scheduling engine scheduling allocation conditions; The conditions include the opening of the control valve, the wind speed of the fan, and the ammonia injection flow rate of the denitrification system; S4: Determine whether the allocation plan is a solution and obtain the final solution; S41: Obtain a solution for the denitrification system; First, the control valve opening, fan speed, and ammonia injection flow rate of the denitrification system in the distribution plan that violate the hard constraints are screened out and eliminated; Then, the conditions of the remaining allocation plans are used to predict and calculate whether the nitrogen oxide concentration at the denitrification outlet is less than the target threshold value using the denitrification prediction model, and the allocation plans with a concentration greater than the target domain value of nitrogen oxide concentration are eliminated, and the remaining allocation plans are solutions; The total score of solutions for the denitrification system is then calculated based on the soft constraints; Finally, the solutions for the denitrification system are ranked from smallest to largest according to their total scores; S42: List the injection flow of the desulfurizer injection system based on the scheduling engine; S43: Obtain a solution for the desulfurization system; First, the injection flow rate that violates the hard constraints is screened and eliminated; Then, the remaining injection flow rates are sequentially brought into the desulfurization prediction model to predict and calculate the SO2 concentration at the desulfurization outlet. The control valve opening, fan speed, and actual desulfurization inlet temperature in the first-ranked allocation plan are first used as features to predict whether the SO2 concentration at the desulfurization outlet violates the hard constraint. The allocation plans that violate the hard constraint are eliminated, and the remaining allocation plans and injection flow rates are obtained as the solution for the desulfurization system. Setting a quantity threshold of desulfurization system solutions, and comparing whether the quantity of desulfurization system solutions obtained exceeds the quantity threshold; If it exceeds, the total score of the desulfurization system solution is calculated according to the actual soft constraints, and the total scores are sorted from small to large. The one ranked first is the final solution; If it does not exceed, the control valve opening and the wind speed of the fan in the allocation plan of the solution of the second-ranked denitrification system are used to predict and obtain the solution of the desulfurization system again. The quantity of the two desulfurization system solutions is compared with the quantity threshold to determine whether it exceeds the quantity threshold. If it exceeds the threshold, the final solution is obtained normally. If it does not exceed, the control valve opening and the wind speed of the fan in the allocation plan of the next-ranked denitrification system solution are used recursively in sequence until the final solution is obtained. S5: Adjust and control according to the conditions in the final solution; The control valve, the fan, the denitrification system and the sulfidizing agent injection system are controlled and regulated according to the opening of the control valve, the wind speed of the fan, the ammonia injection flow of the denitrification system and the injection flow of the desulfurization agent injection system in the final solution.

8. The control method of the environmental island safety intelligent control system according to claim 7, characterized in that: Hard constraints include: 1) The nitrogen oxide concentration at the denitration outlet is less than the target nitrogen oxide concentration threshold; the target nitrogen oxide concentration threshold can be customized; 2) The opening of the control valve is between the maximum critical value and the minimum critical value, and the opening of the control valve is between 0-1; 3) The wind speed of the fan does not exceed the maximum wind speed of the fan; 4) The ammonia injection flow rate of the denitrification system shall not exceed the maximum ammonia injection flow rate of the denitrification system, and the maximum ammonia flow rate shall be configured according to the actual situation; 5) The SO2 concentration at the desulfurization outlet is less than the target SO2 concentration threshold; 6) The injection flow rate shall not exceed the maximum injection flow rate of the desulfurizer injection system; Soft constraints include: 1) Maximize treatment efficiency; that is, the concentration of nitrogen oxides at the outlet of denitrification is minimal, and the concentration of SO2 at the outlet of desulfurization is minimal. Minimum concentration; 2) Minimize production costs; that is, the ammonia injection flow rate of the denitrification system is minimized, and the injection flow rate of the desulfurization agent injection system is minimized; 3) Maximize the processing speed; that is, the processing flow is the largest, processing flow = control valve opening * control valve cross-sectional area * fan wind speed; If the solution calculated by the scheduling engine violates the hard constraints, the solution does not comply with the rules. The soft constraints are sorted and the sorted numbers are scored. To maximize the processing efficiency, the nitrogen oxide / SO2 concentration at the denitrification outlet is sorted from small to large and scored. To minimize the production cost, the ammonia injection flow of the denitrification system / the injection flow of the desulfurization agent injection system is sorted from small to large and scored. To maximize the processing speed, the processing flow is sorted from large to small and scored. According to the actual soft constraints set, the scores of the solutions are added up to get the total score, and finally the final solution is obtained by sorting from small to large according to the total score.

9. The control method of the environmental island safety intelligent control system according to claim 7, characterized in that: Also includes: S121: historical data preprocessing; S122: Select features; The denitrification prediction model selects the denitrification inlet temperature, the denitrification inlet nitrogen oxide concentration, the denitrification outlet nitrogen oxide concentration, the opening of the control valve, the wind speed of the fan, and the ammonia injection flow rate of the denitrification system as key features; The desulfurization prediction model selects desulfurization inlet temperature, desulfurization inlet SO2 concentration, desulfurization outlet SO2 concentration, control valve opening, fan wind speed, and desulfurization agent injection system injection flow rate as key features; S123: Build a prediction model using linear regression.

10. The control method of the environmental island safety intelligent control system according to claim 7, characterized in that: It also includes a new strategy: when the control valve opening and fan wind speed in the allocation plan of the fifth-ranked denitrification system solution are predicted and still cannot meet the quantity threshold, the engine scheduling allocation conditions are rescheduled to generate different allocation plans, obtain new denitrification system solutions, and calculate the final solution.

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