Industrial waste gas treatment control method and system

Abstract

The present invention relates to the field of industrial control, and in particular to an industrial waste gas treatment control method and system. The content includes: monitoring and pre-processing the data in the process of industrial waste gas treatment, predicting the environmental change trend and the change of pollutant concentration based on the pre-processed data; defining and solving the objective function; introducing disturbance factors, using algebraic topology methods to analyze the topological structure in the parameter space after disturbance, and combining the gradient descent method and simulated annealing strategy to optimize the industrial waste gas treatment parameters, and optimizing the operation of the waste gas treatment equipment based on the optimized industrial waste gas treatment parameters. It solves the problems of slow response speed, low energy efficiency, poor adaptability to environmental changes, high operating costs and insufficient data utilization of existing industrial waste gas treatment technologies; and the technical problems of not taking into account the needs of real-time monitoring and rapid response to environmental changes, lacking efficient data analysis and parameter optimization mechanisms, and lacking effective adaptive control systems.

Description

Technical Field

[0001] The present invention relates to the field of industrial control, and in particular to an industrial waste gas treatment control method and system. Background Art

[0002] In the industrial production process, treating waste gas to reduce environmental pollution is an important and complex challenge. With the increasingly stringent environmental regulations and the increasing public concern about environmental quality, industrial enterprises are faced with the urgent need to improve waste gas treatment efficiency and reduce harmful emissions. Although traditional waste gas treatment technologies can reduce pollutant emissions to a certain extent, they still have shortcomings in terms of operating efficiency, cost control, and rapid response to environmental changes. In addition, the complex and varied composition of industrial waste gas makes it more difficult to effectively control and treat it.

[0003] With the development of information technology and intelligent manufacturing, it has become possible to optimize the waste gas treatment process using advanced data analysis and automatic control technologies. By real-time monitoring of waste gas composition and environmental conditions, as well as the use of dynamic control strategies and optimization algorithms, the response speed and treatment efficiency of the waste gas treatment system can be significantly improved. This not only helps companies comply with environmental regulations more effectively, but also reduces operating costs and improves the economy and sustainability of the system.

[0004] There are at least the following technical problems in the existing technology: the main defects of the existing industrial waste gas treatment technology include slow response speed, low energy efficiency, poor adaptability to environmental changes, high operating costs and insufficient data utilization. It does not take into account the needs of real-time monitoring and rapid response to environmental changes, and cannot adjust the industrial waste gas treatment parameters in time, thus affecting the treatment effect and efficiency; the lack of efficient data analysis and parameter optimization mechanism not only leads to high energy consumption, but also high operating costs, and it is difficult to maximize cost-effectiveness under long-term operation; the lack of an effective adaptive control system reduces the overall reliability of the system, which not only affects the effect of waste gas treatment, but also increases the operating burden of the enterprise, limiting the advancement and application of environmental protection technology. Summary of the invention

[0005] The present invention provides an industrial waste gas treatment control method and system to solve the problems of slow response speed, low energy efficiency, poor adaptability to environmental changes, high operating cost and insufficient data utilization of existing industrial waste gas treatment technologies. The system does not take into account the needs of real-time monitoring and rapid response to environmental changes, and cannot adjust industrial waste gas treatment parameters in time, thus affecting the treatment effect and efficiency; lacks efficient data analysis and parameter optimization mechanisms, not only resulting in high energy consumption, but also high operating costs, making it difficult to maximize cost-effectiveness under long-term operation; lacks an effective adaptive control system, which reduces the overall reliability of the system, which not only affects the effect of waste gas treatment, but also increases the operating burden of the enterprise, limiting the progress and application of environmental protection technology.

[0006] An industrial waste gas treatment control method and system of the present invention specifically includes the following technical solutions:

[0007] An industrial waste gas treatment control method comprises the following steps:

[0008] S1. Monitor the parameter data in the process of industrial waste gas treatment and perform pre-processing. Based on the pre-processed data, predict the environmental change trend and the change of pollutant concentration; and define the objective function to balance energy consumption and decontamination efficiency;

[0009] S2. Solve the objective function by introducing disturbance factors and using algebraic topology methods to analyze the topological structure in the parameter space after disturbance. Combine the gradient descent method and simulated annealing strategy to optimize the industrial waste gas treatment parameters. Optimize the operation of the waste gas treatment equipment based on the optimized industrial waste gas treatment parameters.

[0010] Preferably, the S1 specifically includes:

[0011] Predict environmental trends and changes in pollutant concentrations based on pre-processed data, and adjust industrial waste gas treatment parameters; use a method that combines Fourier series and wavelet transform to extract and utilize periodic and non-periodic information in time series data.

[0012] Preferably, the S2 specifically includes:

[0013] The objective function is solved and the potential local optimal solution in the parameter space is explored by introducing disturbance factors. Random disturbances are added to the industrial waste gas treatment parameter vector to obtain the disturbed parameter space.

[0014] Preferably, the S2 specifically includes:

[0015] The algebraic topology method is used to analyze the topological structure in the parameter space after perturbation, and the homology groups of different local optimal solution regions obtained by perturbation exploration in the parameter space are calculated.

[0016] Preferably, the S2 specifically includes:

[0017] Apply optimization algorithms at different scales; combine gradient descent for local search and introduce simulated annealing strategy for global search.

[0018] Preferably, the S2 specifically includes:

[0019] In the optimization algorithm, homotopy groups are used to analyze the region of parameter space explored by the perturbations.

[0020] Preferably, the S2 specifically includes:

[0021] Different local optimal solution regions are identified from the perturbed parameter space, and the homology group is calculated for each region; the optimization strategy for each region is determined based on the size and type of the homology group.

[0022] Preferably, the S2 specifically includes:

[0023] In the implementation of the simulated annealing strategy, the temperature adjustment function is defined based on the calculation results of the homotopy group.

[0024] An industrial waste gas treatment control system, applied to the above industrial waste gas treatment control method, comprises the following parts:

[0025] Monitoring module, data processing module, environmental factor analysis module, dynamic control strategy module, topology optimization module, control module;

[0026] The monitoring module is used to monitor the concentration of various harmful gas components in the exhaust gas and the environmental data of the exhaust gas treatment site; the monitoring module is connected to the data processing module;

[0027] The data processing module is used to pre-process the data monitored by the monitoring module; the data processing module is connected to the environmental factor analysis module;

[0028] The environmental factor analysis module is used to predict the short-term environmental change trend and the change of pollutant concentration based on the pre-processed data; the environmental factor analysis module is connected to the dynamic control strategy module;

[0029] Dynamic control strategy module is used to target industrial waste gas treatment parameters, minimize operating costs while ensuring waste gas treatment effects, and define the objective function to balance energy consumption and decontamination efficiency; the dynamic control strategy module is connected to the topology optimization module;

[0030] The topology optimization module is used to solve the objective function, introduce disturbance factors, explore potential local optimal solutions in the parameter space, use algebraic topology methods to analyze the topological structure in the parameter space after disturbance, and optimize the industrial waste gas treatment parameters by combining the gradient descent method and simulated annealing strategy; the topology optimization module is connected to the control module;

[0031] The control module is used to optimize the operating state of the waste gas treatment equipment according to the optimized industrial waste gas treatment parameters.

[0032] The beneficial effects of the technical solution of the present invention are:

[0033] 1. The present invention uses a variety of intelligent sensors to monitor the harmful gas components in the exhaust gas and the environmental data of the exhaust gas treatment site, such as temperature, humidity and pressure, in real time, ensuring a rapid response to environmental changes. By instantly analyzing the pollutant concentration and environmental change trends, the industrial exhaust gas treatment system can timely adjust the industrial exhaust gas treatment parameters, such as temperature, pressure and chemical dosage, to respond to changes in actual measurement conditions in the best way;

[0034] 2. The present invention minimizes operating costs while ensuring the exhaust gas treatment effect. It uses mathematical models to calculate energy consumption and decontamination efficiency, which not only optimizes energy consumption but also reduces operating costs.

[0035] 3. The method of the present invention combines real-time data monitoring with a feedback mechanism to enhance the adaptability of the industrial waste gas treatment system to environmental changes. The industrial waste gas treatment system can automatically adjust according to the real-time environment and treatment effect data, thereby improving the stability and reliability of the industrial waste gas treatment system in the face of complex and changing industrial environments;

[0036] 4. By precisely controlling the parameters of industrial waste gas treatment, the industrial waste gas treatment system can effectively reduce the emission of harmful gases and minimize the impact on the environment. It not only helps enterprises comply with increasingly stringent environmental regulations, but also brings a good social image and environmental benefits to the enterprises. At the same time, by integrating data analysis tools and mathematical models, waste gas treatment control is made more scientific and precise, significantly improving the effectiveness of the strategy and the level of intelligent operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a structural diagram of an industrial waste gas treatment control system according to the present invention;

[0038] Figure 2 This is a flow chart of an industrial waste gas treatment control method described in the present invention. DETAILED DESCRIPTION

[0039] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0041] The specific scheme of an industrial waste gas treatment control method and system provided by the present invention is described in detail below with reference to the accompanying drawings.

[0042] See attached Figure 1 , which shows a structural diagram of an industrial waste gas treatment control system provided by an embodiment of the present invention, the system includes the following parts:

[0043] Monitoring module, data processing module, environmental factor analysis module, dynamic control strategy module, topology optimization module, control module;

[0044] The monitoring module is used to monitor the concentration of various harmful gas components in the exhaust gas and the environmental data of the exhaust gas treatment site; the monitoring module is connected to the data processing module;

[0045] The data processing module is used to pre-process the data monitored by the monitoring module; the data processing module is connected to the environmental factor analysis module;

[0046] The environmental factor analysis module is used to predict the short-term environmental change trend and pollutant concentration changes based on the pre-processed data, so as to adjust the industrial waste gas treatment parameters in advance to cope with the predicted changes; the environmental factor analysis module is connected to the dynamic control strategy module;

[0047] Dynamic control strategy module, which is used to minimize the operating cost while ensuring the waste gas treatment effect for industrial waste gas treatment parameters, including temperature, pressure and chemical dosage; defines the objective function to balance energy consumption and decontamination efficiency; the dynamic control strategy module is connected to the topology optimization module;

[0048] The topology optimization module is used to solve the objective function of balancing energy consumption and decontamination efficiency, introduce disturbance factors, explore possible local optimal solutions in the parameter space, use algebraic topology methods to analyze the topological structure in the parameter space after disturbance, combine the gradient descent method for fast local search, and introduce simulated annealing strategy to perform global search on a macro scale to obtain optimized processing parameters; the topology optimization module is connected to the control module;

[0049] The control module is used to optimize the operating state of the exhaust gas treatment equipment according to the optimized treatment parameters.

[0050] See attached Figure 2 , which shows a flow chart of an industrial waste gas treatment control method provided by an embodiment of the present invention, the method comprising the following steps:

[0051] S1. Monitor the parameter data in the process of industrial waste gas treatment and perform pre-processing. Based on the pre-processed data, predict the environmental change trend and the change of pollutant concentration; and define the objective function to balance energy consumption and decontamination efficiency;

[0052] In order to solve the problems of low efficiency and untimely response in industrial waste gas treatment, multi-source data analysis and real-time feedback adjustment are comprehensively utilized to achieve optimal control of industrial waste gas treatment parameters. By deploying various types of intelligent sensors, such as electrochemical sensors, infrared spectrum sensors, and environmental sensors, the monitoring module monitors the concentration of various harmful gas components in the waste gas in real time, such as sulfides, nitrogen oxides, and volatile organic compounds, as well as environmental data at the waste gas treatment site, including temperature, humidity, and pressure.

[0053] The data collected by various sensors are first preprocessed by the data processing module, including noise filtering and normalization, to ensure the quality and consistency of the input data. The preprocessed data are input into the environmental factor analysis module; the environmental factor analysis module predicts the short-term environmental change trend and the change of pollutant concentration based on the preprocessed data, so as to adjust the industrial waste gas treatment parameters in advance to cope with the predicted changes. To this end, a method combining Fourier series and wavelet transform is used to analyze time series data, extract and utilize periodic and non-periodic information in the data. The mathematical model used is expressed by the following formula:

[0054] ,

[0055] in, Indicates at time The pollutant combination vector; and are the Fourier coefficients, representing the amplitude and phase of the periodic variation; is the number of terms in the Fourier series, indicating the sequence number of the current term; is the maximum number of terms in the Fourier series, used to specify the truncation point of the series; is the fundamental frequency, indicating the period of the periodic component; It is a wavelet function, which is used to capture local non-periodic changes; are the wavelet coefficients, representing the aperiodic intensity at different scales; is the position index in the wavelet transform; is the truncation point of the wavelet series; is the time delay, indicating the time offset of the local change.

[0056] The dynamic control strategy module receives the prediction data from the environmental factor analysis module and targets the industrial waste gas treatment parameters, including temperature, pressure and chemical dosage, to ensure the waste gas treatment effect while minimizing the operating cost. Define an objective function Balance energy consumption and decontamination efficiency, where , Represents the industrial waste gas treatment parameter vector. The objective function is:

[0057] ,

[0058] in, and It is a weight used to balance energy consumption and decontamination efficiency. and They represent energy consumption and decontamination efficiency respectively, and the calculation formula is as follows:

[0059] ,

[0060] ,

[0061] in, is the temperature, which directly affects the reaction rate and thermal energy requirements; It is the pressure that affects the progress of the reaction and physical stability; It is the chemical dosage, which directly affects the rate and completion of chemical reactions; It indicates the variation of predicted pollutant concentrations, affecting the instability of energy consumption; , , , It is the coefficient of adjusting each item, which reflects the influence of temperature, pressure, chemical dosage and pollutant concentration variation on energy consumption; It represents the average value of the predicted pollutant concentration and is used to evaluate the impact of the current pollution level on the decontamination efficiency; , , , They are all influence coefficients, which respectively reflect the impact of the average values ​​of temperature, pressure, chemical dosage and pollutant concentration on the improvement of decontamination efficiency.

[0062] S2. Solve the objective function by introducing disturbance factors and using algebraic topology methods to analyze the topological structure in the parameter space after disturbance. Combine the gradient descent method and simulated annealing strategy to optimize the industrial waste gas treatment parameters. Optimize the operation of the waste gas treatment equipment based on the optimized industrial waste gas treatment parameters.

[0063] The topology optimization module solves the objective function of balancing energy consumption and decontamination efficiency. By introducing disturbance factors, it explores possible local optimal solutions in the parameter space to identify sensitive areas that may cause significant changes in system performance. Add a random perturbation to , random perturbations are modulated by nonlinear functions such as hyperbolic tangent functions to ensure that exploration is carried out within a reasonable range and to avoid excessive perturbations that may cause system instability. The perturbation formula is:

[0064] ,

[0065] in, represents the parameter space after perturbation, is the gradient of the objective function, which is used to indicate the direction of parameter adjustment. Each component of the gradient is Corresponds to Each component The partial derivative of The function ensures that the size of the disturbance is within a controllable range and avoids over-adjustment.

[0066] Using algebraic topology methods to analyze the topological structure in the perturbed parameter space and identify the connectivity between different local optimal solution regions helps to understand the global optimization landscape; calculating the homotopy groups of different local optimal solution regions obtained by perturbation exploration in the parameter space, the homotopy groups can reveal the connectivity paths between different regions. The specific formula is:

[0067] ,

[0068] in, It is Homotopy groups are used to measure the number of holes in the topological structure, reflecting the connectivity and complexity of the solution in the parameter space after perturbation; yes i-simplex in the chain complex of ; It is a boundary operator used to calculate the boundary of a simplex in a chain complex. It is key to determining holes and boundaries in topological space. is a direct sum symbol used to represent the combination of multiple homotopy groups, thereby revealing the basic connectivity between different regions.

[0069] Applying optimization algorithms at different scales to achieve optimization search from local to global helps to escape the local optimal trap while maintaining fast local search; combining gradient descent method for fast local search, while introducing simulated annealing strategy for global search at a macro scale; hybrid strategy can make precise adjustments in details while looking for better solutions in a wider range.

[0070] Homotopy groups are used to describe, for example, the number and type of holes in the perturbed parameter space, and to quantify and classify complex structures in the perturbed parameter space, such as "holes" in connectivity and topological space. In optimization algorithms, homotopy groups are used to identify key features in the perturbed parameter space, such as regions that may contain global optimal solutions. Through the topological structure of the region, we can understand how parameter adjustments should be made to avoid falling into local optimal solutions and missing out on better solutions. Homotopy groups are used to analyze the parameter space regions obtained by perturbation exploration. Based on the homotopy groups of the parameter space regions, we can determine which regions are relatively independent and isolated, and which regions may be connected to larger or global structures.

[0071] Different local optimal solution regions are identified from the perturbed parameter space, and algebraic topological techniques are applied to each region to calculate its homotopy group, revealing the topological properties of each region, such as connectivity and "holes"; the optimization strategy for each region is determined based on the size and type of the homotopy group. The temperature parameter in the simulated annealing strategy is adjusted so that in regions where the homotopy group size exceeds the threshold, that is, regions with high connectivity and structural complexity, the temperature drops more slowly to promote more extensive exploration.

[0072] The specific formula of the optimization algorithm is:

[0073] ,

[0074] in, is the optimized industrial waste gas treatment parameter; and It is a parameter that controls the intensity of local search and global search, which controls the speed, amplitude and influence of random perturbation of gradient descent respectively; Represents the "temperature" function in simulated annealing, which decreases over time and gradually focuses on the optimal solution; Generates random numbers in the range of [-1,1] to introduce randomness in the simulated annealing process to avoid local optimal traps. In the simulated annealing algorithm, the temperature adjustment function is defined based on the calculation results of the homology group. :

[0075] ,

[0076] in, is the basal temperature; is a moderating factor; It represents the "size" of the homotopy group, that is, the complexity or multi-connectivity of the perturbed parameter space. The analysis results of the homotopy group directly affect the search strategy of the optimization algorithm, so that the optimization algorithm is not only optimized based on the numerical gradient of the objective function, but also considers the topological structure in the perturbed parameter space, enhancing the global search capability and the potential to avoid local optimality.

[0077] The optimized industrial waste gas treatment parameters are implemented into the industrial waste gas treatment system. The optimized industrial waste gas treatment parameters such as temperature, pressure and chemical dosage will be directly input into the control module of the industrial waste gas treatment system to optimize the operating status of the waste gas treatment equipment, including the temperature setting of the heating system, the pressure output of the compression equipment and the dosage control of the chemical treatment unit.

[0078] In summary, an industrial waste gas treatment control method and system are completed.

[0079] The order of the embodiments of the invention is for description only and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0080] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0081] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. An industrial waste gas treatment control method, characterized in that: The following steps are involved: S1. Monitor the parameter data in the process of industrial waste gas treatment and perform pre-processing. Based on the pre-processed data, predict the environmental change trend and the change of pollutant concentration; and define the objective function to balance energy consumption and decontamination efficiency; S2. Solve the objective function, introduce disturbance factors, use algebraic topology methods to analyze the topological structure in the parameter space after disturbance, and calculate the homology groups of different local optimal solution areas in the parameter space obtained by disturbance exploration; apply optimization algorithms at different scales; combine gradient descent method for local search, and introduce simulated annealing strategy for global search; under the optimization algorithm, use homology groups to analyze the parameter space area obtained by disturbance exploration; identify different local optimal solution areas from the parameter space after disturbance, and calculate the homology group for each area; determine the optimization strategy for each area according to the size and type of homology group; the specific formula of the optimization algorithm is: Among them, x new is the optimized industrial waste gas treatment parameter; x represents the industrial waste gas treatment parameter vector; α and β are parameters that control the local search and global search intensity; is the gradient of the objective function; T(x) represents the "temperature" function in simulated annealing; random(-1,1) generates a random number in the range of [-1,1]; In the implementation of the simulated annealing strategy, the temperature adjustment function T(x) is defined based on the calculation results of the homology group: T(x)=T0·(1+λ·|H n |) Where T0 is the base temperature; λ is an adjustment factor; |H n | represents the "size" of the homotopy group, which is a measure of the complexity or multiconnectivity of the parameter space after the perturbation; Optimize the operation of waste gas treatment equipment based on the optimized industrial waste gas treatment parameters.

2. The industrial waste gas treatment control method according to claim 1, characterized in that: The S1 specifically includes: Predict environmental trends and changes in pollutant concentrations based on pre-processed data, and adjust industrial waste gas treatment parameters; use a method that combines Fourier series and wavelet transform to extract and utilize periodic and non-periodic information in time series data.

3. The industrial waste gas treatment control method according to claim 1, characterized in that: The S2 specifically includes: The objective function is solved and the potential local optimal solution in the parameter space is explored by introducing disturbance factors. Random disturbances are added to the industrial waste gas treatment parameter vector to obtain the disturbed parameter space.

4. An industrial waste gas treatment control system, applied to an industrial waste gas treatment control method as claimed in claim 1, characterized in that: Includes the following parts: Monitoring module, data processing module, environmental factor analysis module, dynamic control strategy module, topology optimization module, control module; The monitoring module is used to monitor the concentration of various harmful gas components in the exhaust gas and the environmental data of the exhaust gas treatment site; the monitoring module is connected to the data processing module; The data processing module is used to pre-process the data monitored by the monitoring module; the data processing module is connected to the environmental factor analysis module; The environmental factor analysis module is used to predict the short-term environmental change trend and the change of pollutant concentration based on the pre-processed data; the environmental factor analysis module is connected to the dynamic control strategy module; Dynamic control strategy module is used to target industrial waste gas treatment parameters, minimize operating costs while ensuring waste gas treatment effects, and define the objective function to balance energy consumption and decontamination efficiency; the dynamic control strategy module is connected to the topology optimization module; Topology optimization module, which is used to solve the objective function, introduce disturbance factors, explore potential local optimal solutions in the parameter space, use algebraic topology methods to analyze the topological structure in the parameter space after disturbance, and optimize the industrial waste gas treatment parameters by combining gradient descent method and simulated annealing strategy; The topology optimization module is connected to the control module; The control module is used to optimize the operating state of the waste gas treatment equipment according to the optimized industrial waste gas treatment parameters.

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