Environmental engineering pollution abatement scheme optimization method

Abstract

The invention discloses an optimization method for an environmental engineering pollution treatment scheme. The method comprises the steps of current pollution situation analysis, pollution source positioning, optimal scheme combination searching, environmental change prediction and scheme optimization feedback. The invention belongs to the technical field of environmental protection, and particularly relates to an environmental engineering pollution abatement scheme optimization method, which comprises the following steps: calculating a pollution particle motion equation, and finding out the position of a pollution source by solving a pollution particle motion trail; the optimal scheme combination is searched, the average static optimization distance is calculated, the dynamic response strategies are evaluated, the weights of the dynamic response strategies are calculated, the probability of each dynamic response strategy is updated, and the optimal environmental engineering pollution abatement scheme is searched; an environment pollution centroid is calculated through environment change prediction, the moving direction of the centroid is obtained through the difference value between the current centroid and the centroid at the previous moment, an improved prediction method is provided, and a new pollution element is predicted based on a current pollution element, the moving direction of the centroid and Gaussian disturbance.

Description

Technical Field

[0001] The invention belongs to the technical field of environmental protection, and in particular is a method for optimizing an environmental engineering pollution control scheme. Background Art

[0002] Environmental engineering pollution control program is a method that uses computer technology and management means to effectively control pollution sources and pollution spread, aiming to reduce environmental pollution, improve environmental quality, protect ecological balance and human health development. However, the existing environmental engineering pollution control program has technical problems such as difficulty in locating pollution sources, resulting in insufficient pertinence of environmental control and expansion of pollution scope; there are technical problems such as complex changes in pollution situations, difficulty in finding the most suitable environmental engineering pollution control program for the current situation and achieving the best control effect, and achieving reasonable allocation and utilization of resources; there are technical problems such as difficulty in understanding the overall situation and dynamic trend of environmental pollution, lack of foresight in environmental management and decision-making, and inability to effectively prevent environmental pollution. Summary of the invention

[0003] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides an environmental engineering pollution control scheme optimization method. In view of the technical problem that it is difficult to locate the pollution source, resulting in insufficient pertinence of environmental control and expansion of the pollution range, the motion equation of the pollution particles is calculated, and the location of the pollution source is found by solving the motion trajectory of the pollution particles; in view of the technical problem that the pollution situation is complex and it is difficult to find the most suitable environmental engineering pollution control scheme for the current situation and achieve the best control effect, and to achieve the reasonable allocation and utilization of resources, the optimal scheme combination is found, the average static optimization distance is calculated to evaluate the dynamic response strategy, the weight of the dynamic response strategy is calculated, the probability of each dynamic response strategy is updated, and the optimal environmental engineering pollution control scheme is found; in view of the technical problem that it is difficult to understand the overall situation and dynamic trend of environmental pollution, environmental management and decision-making lack foresight, and environmental pollution cannot be effectively prevented, environmental change prediction is adopted, the environmental pollution center of mass is calculated, and the moving direction of the center of mass is obtained by the difference between the current center of mass and the center of mass at the previous moment, and an improved prediction method is proposed to predict new pollution elements based on current pollution elements, the moving direction of the center of mass and Gaussian disturbance.

[0004] The technical solution adopted by the present invention is as follows: The present invention provides an environmental engineering pollution control scheme optimization method, the method comprising the following steps:

[0005] Step S1: Analysis of pollution status, specifically deployment of monitoring equipment and real-time transmission of environmental pollution data;

[0006] Step S2: Locating the pollution source, specifically calculating the motion equation of the pollution particles, and finding the location of the pollution source by finding the motion trajectory of the pollution particles;

[0007] Step S3: Find the optimal solution combination, specifically, calculate the average static optimization distance to evaluate the dynamic response strategy, calculate the weight of the dynamic response strategy, update the probability of each dynamic response strategy, and find the optimal environmental engineering pollution control solution;

[0008] Step S4: Environmental change prediction, specifically calculating the environmental pollution center of mass, obtaining the moving direction of the center of mass by the difference between the current center of mass and the center of mass at the previous moment, and proposing an improved prediction method to predict new pollution elements based on the current pollution element, the moving direction of the center of mass and Gaussian disturbance;

[0009] Step S5: Scheme optimization feedback, specifically implementing the selected optimal pollution control scheme, continuously monitoring pollution indicators, and optimizing and improving it.

[0010] Furthermore, in step S1, the pollution status analysis includes the following steps:

[0011] Step S11: deploy monitoring equipment, install air quality monitors to monitor air pollutants, water quality monitors to detect chemical oxygen demand and heavy metal content in water, and soil monitoring equipment to detect pollutant content and composition;

[0012] Step S12: Real-time data transmission, using satellite remote sensing technology to obtain a wide range of environmental pollution data, using the Internet of Things technology to connect monitoring equipment to achieve real-time transmission of environmental pollution data.

[0013] Furthermore, in step S2, the pollution source location includes the following steps:

[0014] Step S21: Calculate the motion equation of the polluted particles. The formula used is as follows:

[0015] ;

[0016] In the formula, is the mass of the pollutant particle, represents the pollution particle velocity vector, is the drag vector of the pollution particle, represents the additional force vector acting on the pollution particles, and t represents the time parameter;

[0017] Step S22: Calculate the drag vector of the polluted particles using the following formula:

[0018] ;

[0019] In the formula, is the diameter of the pollution particle, represents the drag coefficient related to the shape of the pollution particles, represents the density of the fluid, represents the velocity vector of the fluid;

[0020] Step S23: Calculate the drag coefficient related to the shape of the pollution particles, using the following formula:

[0021] ;

[0022] In the formula, , and Respectively represent the contribution of different influencing factors to the resistance coefficient, represents a particle Reynolds number, which is used to describe the flow characteristics of particles in a fluid;

[0023] Step S24: define the pollution particle Reynolds number, the formula used is as follows:

[0024] ;

[0025] In the formula, It represents the dynamic viscosity of the fluid;

[0026] Step S25: Calculate the acceleration of the polluted particles using the following formula:

[0027] ;

[0028] In the formula, represents the contamination particle relaxation time, which refers to the time required for the system to transition from the original equilibrium state to the new equilibrium state;

[0029] Step S26: Calculate the trajectory of the polluted particles using the following formula:

[0030] ;

[0031] In the formula, represents the trajectory of the pollutant particles, Represents the initial position vector of the pollution particle.

[0032] Furthermore, in step S3, the searching for the optimal solution combination includes the following steps:

[0033] Step S31: Calculate the average static optimization distance, which is a criterion for evaluating dynamic response strategies. The shorter the distance, the more effective the corresponding strategy is in the environment. The formula used is as follows:

[0034] ;

[0035] In the formula, d represents the average static optimization distance, N represents the total number of pollution control schemes, and i represents the index of the pollution control scheme. represents the state of the i-th pollution control plan at time t, represents the scope of environmental pollution at time t;

[0036] Step S32: Calculate the excellence rate of the dynamic response strategy, using the following formula:

[0037] ;

[0038] Where j is the index of the dynamic response strategy, represents the excellence rate of the jth dynamic response strategy, Represents the final effect of the dynamic response strategy, represents the measurement index of the jth dynamic response strategy;

[0039] Step S33: Update weights. Each dynamic response strategy updates weights in the following manner. The formula used is as follows:

[0040] ;

[0041] In the formula, represents the updated weight of the jth dynamic response strategy at time t+1, represents the updated weight of the jth dynamic response strategy at time t. α is used to control the influence of current performance and historical performance on weight update and plays a balancing role. The range is [0, 1];

[0042] Step S34: Update the probability, the formula used is as follows:

[0043] ;

[0044] In the formula, represents the update probability of the jth dynamic response strategy at time t+1, is the lower limit of probability, and its value range is , which is used to prevent strategies from being over-eliminated, and J represents the total number of dynamic response strategies.

[0045] Furthermore, in step S4, the environmental change prediction includes the following steps:

[0046] Step S41: Calculate the environmental pollution centroid using the following formula:

[0047] ;

[0048] In the formula, represents the center of mass of environmental pollution at time t, It means summing the pollution elements x belonging to the environmental pollution set;

[0049] Step S42: Calculate the moving direction of the environmental pollution mass center, using the following formula:

[0050] ;

[0051] In the formula, represents the moving direction of the center of mass of environmental pollution at time t, represents the centroid of environmental pollution at time t-1;

[0052] Step S43: Propose an improved prediction method, the formula used is as follows:

[0053] ;

[0054] In the formula, is a new pollution element generated by the proposed prediction strategy, is the polluting element at time t, represents a Gaussian disturbance with a mean of 0 and a standard deviation of d. Used to divide the polluted elements into different parts, Used to control for the presence of Gaussian perturbations.

[0055] Furthermore, in step S5, the scheme optimization feedback is specifically to implement the selected optimal pollution control scheme, continuously monitor pollution indicators, collect feedback from residents and enterprises, compare the actual effect of the environmental engineering pollution control scheme with the expected effect, and regularly evaluate and optimize the scheme.

[0056] The beneficial results achieved by the present invention using the above scheme are as follows:

[0057] (1) In order to solve the technical problem that pollution sources are difficult to locate, resulting in insufficient environmental governance and a wider range of pollution, the motion equation of pollution particles is calculated to find the location of pollution sources by calculating the trajectory of pollution particles;

[0058] (2) In view of the complex changes in pollution conditions, it is difficult to find the most suitable environmental engineering pollution control plan for the current situation and achieve the best control effect, and to achieve the technical problem of reasonable allocation and utilization of resources. The optimal combination of solutions is found, the average static optimization distance is calculated to evaluate the dynamic response strategy, the weight of the dynamic response strategy is calculated, the probability of each dynamic response strategy is updated, and the optimal environmental engineering pollution control plan is found;

[0059] (3) In order to solve the technical problems that it is difficult to understand the overall situation and dynamic trend of environmental pollution, environmental management and decision-making lack foresight, and cannot effectively prevent environmental pollution, we use environmental change prediction to calculate the center of mass of environmental pollution. The direction of movement of the center of mass is obtained by the difference between the current center of mass and the center of mass at the previous moment. We then propose an improved prediction method to predict new pollution elements based on the current pollution elements, the direction of movement of the center of mass, and Gaussian disturbance. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 A schematic diagram of a process for optimizing an environmental engineering pollution control scheme provided by the present invention;

[0061] Figure 2 is a schematic flow chart of step S2;

[0062] Figure 3 is a schematic flow chart of step S3;

[0063] Figure 4 It is a schematic diagram of the process of step S4.

[0064] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention. DETAILED DESCRIPTION

[0065] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0066] In the description of the present invention, it should be understood that terms such as “upper”, “lower”, “front”, “back”, “left”, “right”, “top”, “bottom”, “inside” and “outside” indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as limiting the present invention.

[0067] Example 1, see Figure 1 The present invention provides an environmental engineering pollution control scheme optimization method, which comprises the following steps:

[0068] Step S1: Analysis of pollution status, specifically deployment of monitoring equipment and real-time transmission of environmental pollution data;

[0069] Step S2: Locating the pollution source, specifically calculating the motion equation of the pollution particles, and finding the location of the pollution source by finding the motion trajectory of the pollution particles;

[0070] Step S3: Find the optimal solution combination, specifically, calculate the average static optimization distance to evaluate the dynamic response strategy, calculate the weight of the dynamic response strategy, update the probability of each dynamic response strategy, and find the optimal environmental engineering pollution control solution;

[0071] Step S4: Environmental change prediction, specifically calculating the environmental pollution center of mass, obtaining the moving direction of the center of mass by the difference between the current center of mass and the center of mass at the previous moment, and proposing an improved prediction method to predict new pollution elements based on the current pollution element, the moving direction of the center of mass and Gaussian disturbance;

[0072] Step S5: Scheme optimization feedback, specifically implementing the selected optimal pollution control scheme, continuously monitoring pollution indicators, and optimizing and improving it.

[0073] Example 2, see Figure 1 This embodiment is based on the above embodiment. In step S1, the pollution status analysis includes the following steps:

[0074] Step S11: deploy monitoring equipment, install air quality monitors to monitor air pollutants, water quality monitors to detect chemical oxygen demand and heavy metal content in water, and soil monitoring equipment to detect pollutant content and composition;

[0075] Step S12: Real-time data transmission, using satellite remote sensing technology to obtain a wide range of environmental pollution data, using the Internet of Things technology to connect monitoring equipment to achieve real-time transmission of environmental pollution data.

[0076] Example 3, see Figure 1 and Figure 2 This embodiment is based on the above embodiment. In step S2, the pollution source location includes the following steps:

[0077] Step S21: Calculate the motion equation of the polluted particles. The formula used is as follows:

[0078] ;

[0079] In the formula, is the mass of the pollutant particle, represents the pollution particle velocity vector, is the drag vector of the pollution particle, represents the additional force vector acting on the pollution particles, and t represents the time parameter;

[0080] Step S22: Calculate the drag vector of the polluted particles using the following formula:

[0081] ;

[0082] In the formula, is the diameter of the pollution particle, represents the drag coefficient related to the shape of the pollution particles, represents the density of the fluid, represents the velocity vector of the fluid;

[0083] Step S23: Calculate the drag coefficient related to the shape of the pollution particles, using the following formula:

[0084] ;

[0085] In the formula, , and Respectively represent the contribution of different influencing factors to the resistance coefficient, represents a particle Reynolds number, which is used to describe the flow characteristics of particles in a fluid;

[0086] Step S24: define the pollution particle Reynolds number, the formula used is as follows:

[0087] ;

[0088] In the formula, It represents the dynamic viscosity of the fluid;

[0089] Step S25: Calculate the acceleration of the polluted particles using the following formula:

[0090] ;

[0091] In the formula, represents the contamination particle relaxation time, which refers to the time required for the system to transition from the original equilibrium state to the new equilibrium state;

[0092] Step S26: Calculate the trajectory of the polluted particles using the following formula:

[0093] ;

[0094] In the formula, represents the trajectory of the pollutant particles, Represents the initial position vector of the pollution particle.

[0095] By executing the above operations and calculating the motion equation of the polluted particles, the location of the pollution source is found by finding the movement trajectory of the polluted particles, thus solving the technical problem that the pollution source is difficult to locate, resulting in insufficient targeted environmental governance and expanded pollution scope.

[0096] Example 4, see Figure 1 and Figure 3 This embodiment is based on the above embodiment. In step S3, the step of finding the optimal solution combination includes the following steps:

[0097] Step S31: Calculate the average static optimization distance, which is a criterion for evaluating dynamic response strategies. The shorter the distance, the more effective the corresponding strategy is in the environment. The formula used is as follows:

[0098] ;

[0099] In the formula, d represents the average static optimization distance, N represents the total number of pollution control schemes, and i represents the index of the pollution control scheme. represents the state of the i-th pollution control plan at time t, represents the scope of environmental pollution at time t;

[0100] Step S32: Calculate the excellence rate of the dynamic response strategy, using the following formula:

[0101] ;

[0102] Where j is the index of the dynamic response strategy, represents the excellence rate of the jth dynamic response strategy, Represents the final effect of the dynamic response strategy, represents the measurement index of the jth dynamic response strategy;

[0103] Step S33: Update weights. Each dynamic response strategy updates weights in the following manner. The formula used is as follows:

[0104] ;

[0105] In the formula, represents the updated weight of the jth dynamic response strategy at time t+1, represents the updated weight of the jth dynamic response strategy at time t. α is used to control the influence of current performance and historical performance on weight update and plays a balancing role. The range is [0, 1];

[0106] Step S34: Update the probability, the formula used is as follows:

[0107] ;

[0108] In the formula, represents the update probability of the jth dynamic response strategy at time t+1, is the lower limit of probability, and its value range is , which is used to prevent strategies from being over-eliminated, and J represents the total number of dynamic response strategies.

[0109] By executing the above operations, the optimal combination of solutions is found, the average static optimization distance is calculated to evaluate the dynamic response strategy, the weight of the dynamic response strategy is calculated, the probability of each dynamic response strategy is updated, and the optimal environmental engineering pollution control solution is found. This solves the technical problem that the pollution situation is complex and it is difficult to find the environmental engineering pollution control solution that best suits the current situation and achieves the best control effect, and realizes the rational allocation and utilization of resources.

[0110] Example 5, see Figure 1 and Figure 4 This embodiment is based on the above embodiment. In step S4, the environmental change prediction includes the following steps:

[0111] Step S41: Calculate the environmental pollution centroid using the following formula:

[0112] ;

[0113] In the formula, represents the centroid of environmental pollution at time t, It means summing the pollution elements x belonging to the environmental pollution set;

[0114] Step S42: Calculate the moving direction of the environmental pollution mass center, using the following formula:

[0115] ;

[0116] In the formula, represents the moving direction of the center of mass of environmental pollution at time t, represents the centroid of environmental pollution at time t-1;

[0117] Step S43: Propose an improved prediction method, the formula used is as follows:

[0118] ;

[0119] In the formula, is a new pollution element generated by the proposed prediction strategy, is the polluting element at time t, represents a Gaussian disturbance with a mean of 0 and a standard deviation of d. Used to divide the polluted elements into different parts, Used to control for the presence of Gaussian perturbations.

[0120] By executing the above operations, environmental change prediction is adopted to calculate the centroid of environmental pollution. The moving direction of the centroid is obtained by the difference between the current centroid and the centroid at the previous moment. An improved prediction method is proposed. New polluting elements are predicted based on the current polluting elements, the moving direction of the centroid and Gaussian disturbance. This solves the technical problems of difficulty in understanding the overall situation and dynamic trend of environmental pollution, lack of foresight in environmental management and decision-making, and inability to effectively prevent environmental pollution.

[0121] Example 6, see Figure 1This embodiment is based on the above embodiment. In step S5, the scheme optimization feedback is specifically to implement the selected optimal pollution control scheme, continuously monitor pollution indicators, collect feedback from residents and enterprises, compare the actual effect of the environmental engineering pollution control scheme with the expected effect, and regularly evaluate and optimize the scheme.

[0122] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0123] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

[0124] The present invention and its embodiments are described above, and such description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In short, if ordinary technicians in the field are inspired by it, without departing from the purpose of the invention, they can design a structure and embodiment similar to the technical solution without creativity, which should belong to the protection scope of the present invention.

Claims

1. A method for optimizing an environmental engineering pollution control scheme, characterized in that: The method comprises the following steps: Step S1: Analysis of pollution status; Step S2: Locating the pollution source, specifically calculating the motion equation of the pollution particles, and finding the location of the pollution source by finding the motion trajectory of the pollution particles; Step S3: Find the optimal solution combination, specifically, calculate the average static optimization distance to evaluate the dynamic response strategy, calculate the weight of the dynamic response strategy, update the probability of each dynamic response strategy, and find the optimal environmental engineering pollution control solution; Step S4: Environmental change prediction, specifically calculating the environmental pollution center of mass, obtaining the moving direction of the center of mass by the difference between the current center of mass and the center of mass at the previous moment, and proposing an improved prediction method; Step S5: Solution optimization feedback.

2. The method for optimizing an environmental engineering pollution control scheme according to claim 1, characterized in that: In step S2, the pollution source location includes the following steps: Step S21: Calculate the motion equation of the polluted particles. The formula used is as follows: ； In the formula, is the mass of the pollutant particle, represents the pollution particle velocity vector, is the drag vector of the pollution particle, represents the additional force vector acting on the pollution particles, and t represents the time parameter; Step S22: Calculate the drag vector of the polluted particles using the following formula: ； In the formula, is the diameter of the pollution particle, represents the drag coefficient related to the shape of the pollution particles, represents the density of the fluid, represents the velocity vector of the fluid; Step S23: Calculate the drag coefficient related to the shape of the pollution particles, using the following formula: ； In the formula, , and Respectively represent the contribution of different influencing factors to the resistance coefficient, represents a particle Reynolds number, which is used to describe the flow characteristics of particles in a fluid; Step S24: define the pollution particle Reynolds number, the formula used is as follows: ； In the formula, It represents the dynamic viscosity of the fluid; Step S25: Calculate the acceleration of the polluted particles using the following formula: ； In the formula, represents the contamination particle relaxation time, which refers to the time required for the system to transition from the original equilibrium state to the new equilibrium state; Step S26: Calculate the trajectory of the polluted particles using the following formula: ； In the formula, represents the trajectory of the pollutant particles, Represents the initial position vector of the pollution particle.

3. The method for optimizing an environmental engineering pollution control scheme according to claim 1, characterized in that: In step S3, the search for the optimal solution combination includes the following steps: Step S31: Calculate the average static optimization distance, using the following formula: ； In the formula, d represents the average static optimization distance, N represents the total number of pollution control schemes, and i represents the index of the pollution control scheme. represents the state of the i-th pollution control plan at time t, represents the scope of environmental pollution at time t; Step S32: Calculate the excellence rate of the dynamic response strategy, using the following formula: ； Where j is the index of the dynamic response strategy, represents the excellence rate of the jth dynamic response strategy, Represents the final effect of the dynamic response strategy, represents the measurement index of the jth dynamic response strategy; Step S33: Update weights. Each dynamic response strategy updates weights in the following manner. The formula used is as follows: ； In the formula, represents the updated weight of the jth dynamic response strategy at time t+1, represents the updated weight of the jth dynamic response strategy at time t. α is used to control the influence of current performance and historical performance on weight update and plays a balancing role. The range is [0, 1]; Step S34: Update the probability, the formula used is as follows: ； In the formula, represents the update probability of the jth dynamic response strategy at time t+1, is the lower limit of probability, and its value range is , which is used to prevent strategies from being over-eliminated, and J represents the total number of dynamic response strategies.

4. The method for optimizing an environmental engineering pollution control scheme according to claim 1, characterized in that: In step S4, the environmental change prediction includes the following steps: Step S41: Calculate the environmental pollution centroid using the following formula: ； In the formula, represents the center of mass of environmental pollution at time t, It means summing the pollution elements x belonging to the environmental pollution set; Step S42: Calculate the moving direction of the environmental pollution mass center, using the following formula: ； In the formula, represents the moving direction of the center of mass of environmental pollution at time t, represents the centroid of environmental pollution at time t-1; Step S43: Propose an improved prediction method, the formula used is as follows: ； In the formula, is a new pollution element generated by the proposed prediction strategy, is the polluting element at time t, represents a Gaussian disturbance with a mean of 0 and a standard deviation of d. Used to divide the polluted elements into different parts, Used to control for the presence of Gaussian perturbations.

5. The method for optimizing an environmental engineering pollution control scheme according to claim 1, characterized in that: In step S1, the pollution status analysis includes the following steps: Step S11: deploy monitoring equipment, install air quality monitors to monitor air pollutants, water quality monitors to detect chemical oxygen demand and heavy metal content in water, and soil monitoring equipment to detect pollutant content and composition; Step S12: Real-time data transmission, using satellite remote sensing technology to obtain a wide range of environmental pollution data, using the Internet of Things technology to connect monitoring equipment to achieve real-time transmission of environmental pollution data.

6. The method for optimizing an environmental engineering pollution control scheme according to claim 1, characterized in that: In step S5, the scheme optimization feedback is specifically to implement the selected optimal pollution control scheme, continuously monitor pollution indicators, collect feedback from residents and enterprises, compare the actual effect of the environmental engineering pollution control scheme with the expected effect, and regularly evaluate and optimize the scheme.

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