A method for evaluating the coordinated reduction of pollutants in eco-industrial parks

Abstract

The present invention relates to the technical field of wastewater treatment, and in particular to an evaluation method for coordinated pollutant emission reduction in an ecological industrial park, comprising: collecting information on energy usage used in a production process of an industrial park, collecting product output in the industrial park, and constructing a double trend line graph representing dynamic changes in the energy usage information and product output of the industrial park based on the energy usage information and product output of the industrial park; the present invention collects energy usage information, product output information and pollutant output information used in the production process of the industrial park for a three-way comprehensive analysis, and adaptively plans various energy usages in the production process of the industrial park, so that the industrial park can reduce the output ratio of pollutants to a certain extent by optimizing the energy usage structure during the production process, thereby achieving the effect of pollutant emission reduction in the industrial park, and ultimately reducing the treatment cost of pollutants generated in the production process of the industrial park and improving the production efficiency of the industrial park.

Description

Technical Field

[0001] The present invention relates to the technical field of wastewater treatment, and in particular to a method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park. Background Art

[0002] Pollutant emission reduction in industrial parks is of vital importance. By optimizing the energy structure, improving resource utilization, upgrading pollution treatment facilities and other measures, we can reduce emissions of particulate matter, sulfur and nitrogen oxides in the atmosphere, reduce chemical oxygen demand and heavy metal content in water bodies, control the generation of solid waste, and achieve environmental quality improvement and sustainable development.

[0003] On October 4, 2022, a Chinese invention patent with publication number CN115146940A disclosed a method for evaluating the coordinated reduction of atmospheric pollutants in industrial parks, including the following steps: S1. Data preprocessing: Preprocessing includes outlier processing and missing value filling of historical meteorological data, historical data on atmospheric pollutant concentrations, and historical emission data; outlier processing uses the 30 rule to remove outliers, and missing values ​​are filled using multiple interpolation MICE); S2. Construct a combined model of a lightweight gradient boosting machine (LightGBM) and a particle swarm algorithm: The simulation model consists of a lightweight gradient boosting machine (LightGBM) and a particle swarm algorithm (PS0): LightGBM is a fast, distributed, high-performance gradient boosting framework based on a decision tree algorithm, where GBM refers to Gradient Boosting Machine, that is, a gradient boosting tree, which belongs to the Boosting algorithm: The Boosting algorithm is a general and effective model method for generating strong learning models based on a combination of weak machine learning models.

[0004] The application aims to solve the problem that "most traditional machine learning and deep learning models only use air quality monitoring data and meteorological conditions data for training. They lack pollution emission data and are therefore unable to identify the factors that cause air pollution and are unable to effectively control it."

[0005] However, in the current production process of industrial parks, the production energy used is mostly diversified, which leads to different sources of pollutants associated with production in industrial parks. There are differences in the proportion of pollutants associated with the use of different energy sources. At present, industrial parks have not made adaptive plans for the use of energy, resulting in unstable amounts of pollutants associated with production in industrial parks, which is not conducive to pollutant management in industrial parks.

[0006] To this end, we proposed a method for evaluating the coordinated reduction of pollutants in eco-industrial parks. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] A method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park, comprising:

[0010] Collect the energy usage information used in the production process of the industrial park, collect the product output of the industrial park, and construct a double trend line graph representing the dynamic changes of the energy usage information and product output of the industrial park based on the energy usage information and product output of the industrial park; traverse the double trend line graph, and determine the two groups of optimal adaptive energy in the production process of the industrial park based on the similarity of the two groups of curves in the double trend line graph; obtain the optimal adaptive energy in the production process of the industrial park, analyze the application weight of the optimal adaptive energy, upload the pollutant output data of the industrial park, and decide whether to adjust the application weight of the optimal adaptive energy based on the pollutant generation data of the industrial park; set the adjustment factor, adjust the application weight of the optimal adaptive energy based on the adjustment factor, and output the application weight of the optimal adaptive energy adjusted based on the adjustment factor; obtain the application weight of the adjusted optimal adaptive energy, and modify the energy usage ratio of the industrial park production process based on the adjusted application weight of the optimal adaptive energy; record the pollutant output data per unit time after the energy usage ratio is modified in the production process of the industrial park, denoted as A, and the pollutant output data per unit time before the energy usage ratio is modified, denoted as B. When A<B, continue to use the modified energy usage ratio, and when A≥ B, the refresh step is executed.

[0011] Furthermore, the energy usage information includes: electrical energy, chemical energy, bioenergy, thermal energy, and the product output includes: weighing weight or number of pieces. When constructing the dual trend line graph representing the dynamic changes of the energy usage information and product output of the industrial park, the horizontal axis represents time in days, and the vertical axis represents any one of the product output measurement units in the product output and any one of the energy usage measurement units in the energy usage information. When the type of energy usage information of the industrial park is not unique, a plurality of groups of dual trend line graphs representing the dynamic changes of the energy usage information and product output of the industrial park are constructed based on the type of energy usage information, so that the horizontal axis of each group of dual trend line graphs represents time, and the vertical axis represents a product output measurement unit and an energy usage measurement unit;

[0012] Among them, the line segments representing product output and energy consumption in the double trend line graph are curves, and the two sets of curves are rendered based on two different colors, and the horizontal axis of the double trend line graph represents a time span of 7 to 14 days.

[0013] Furthermore, the similarity between the two groups of curves in the dual trend line graph is calculated by the following formula:

[0014] ;

[0015] Where: is the similarity of the two groups of curves in the dual trend line chart; It is the set of comparison points on the two sets of curves in the double trend line chart; is the vector of the i-th set of comparison points of curve a; is the vector of the i-th group of comparison points of curve b; It is the maximum vector of the comparison points on the two groups of curves in the double trend line chart;

[0016] Among them, the similarity of the two groups of curves in the double trend line chart The larger the value, the more similar the two groups of curves in the dual trend line graph are. Conversely, the greater the difference between the two groups of curves, the greater the similarity between the two groups of curves in the dual trend line graph. The energy corresponding to the double trend line graph of the two sets of curves with the largest and second largest values ​​is the two sets of optimally adapted energy for the production process of the industrial park.

[0017] Furthermore, the analysis logic of the application weight of the optimal adaptive energy is expressed as:

[0018] ;

[0019] Where: weighting of energy applications for optimal adaptation; The energy usage accumulation in the dual trend line graph for the best adaptation energy correspondence; The collection of energy used for production processes in industrial parks; The cumulative energy usage in the double trend line chart corresponding to the jth energy; Accumulate the optimal adaptation energy usage time for industrial parks; Accumulate all energy usage hours for the industrial park;

[0020] Among them, the measurement unit of energy used in the production process of the industrial park is megajoule. Based on the above formula, the application weights of the two groups of optimally adapted energy are calculated and recorded as .

[0021] Furthermore, the industrial park pollutants are any one of gaseous pollutants or liquid pollutants, and the industrial park pollutant output data is the volume of pollutants;

[0022] The measurement of the output pollutants corresponding to the best adapted energy is expressed as:

[0023] ;

[0024] Where: To best adapt the energy to the volume of pollutants produced; Start timestamp collection for optimal adaptation of energy usage; End timestamp collection for optimal adaptation of energy usage; The pollutant output measured at the end timestamp of the best adapted energy use for group y; The pollutant output measured at the start timestamp of the best adapted energy use for group x;

[0025] Among them, based on the above formula, the corresponding pollutant output of the two groups of optimal adaptive energy is calculated and recorded as .

[0026] Furthermore, the logic of whether to adjust the application weight of the best adaptation energy is expressed as:

[0027] ;

[0028] Among them, when any one of the above situations is met, the decision on whether to adjust the application weight of the best adaptive energy is no, and when all the above situations are not met, the decision is yes.

[0029] Furthermore, when adjusting the application weight of the best adaptation energy, it follows that:

[0030] When, yes Adjust, after adjustment for , after adjustment for ;

[0031] When, yes Adjust, after adjustment for , after adjustment for .

[0032] Furthermore, the modification of the proportion of energy used in the production process of industrial parks is subject to:

[0033] ;

[0034] Where: The original consumption ratio of all energy used in the industrial park except the best adapted energy; is the application weight of the adjusted optimal adaptation energy;

[0035] Among them, the energy application weights used in the production process of each industrial park are calculated based on the analytical logic of the application weights of the best adapted energy.

[0036] Furthermore, the comparison operation of A and B takes the total time span represented by the horizontal axis in the double trend line graph as a continuous comparison period, and the latest set of comparisons of A and B is continuously performed based on the continuous comparison period.

[0037] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0038] The present invention provides an evaluation method for coordinated reduction of pollutant emissions in an ecological industrial park. During the execution of the method, the method collects information on energy consumption, product output and pollutant output used in the production process of the industrial park, conducts a three-way comprehensive analysis, and adaptively plans the consumption of various types of energy in the production process of the industrial park, so that the industrial park can reduce the output ratio of pollutants to a certain extent by optimizing the energy use structure during the production process, thereby achieving the effect of reducing pollutant emissions in the industrial park, and ultimately reducing the cost of treating pollutants generated in the production process of the industrial park and improving the production efficiency of the industrial park. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0040] Figure 1 The figure is a flow chart of a method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution 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 part of the embodiments of the present invention, not all of 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.

[0042] The present invention will be further described below in conjunction with the embodiments. Example

[0043] In this embodiment, a method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park is provided. Figure 1 As shown, including:

[0044] Step 1: Collect the energy usage information used in the production process of the industrial park, collect the product output of the industrial park, and build a double trend line chart representing the dynamic changes of the energy usage information and product output of the industrial park based on the energy usage information and product output of the industrial park;

[0045] Step 2: Traverse the double trend line graph, and determine the two groups of optimal adaptive energy for the production process of the industrial park based on the similarity of the two groups of curves in the double trend line graph;

[0046] The similarity of two sets of curves in the dual trend line chart is calculated by the following formula:

[0047] ;

[0048] Where: is the similarity of the two groups of curves in the dual trend line chart; It is the set of comparison points on the two sets of curves in the double trend line chart; is the vector of the i-th set of comparison points of curve a; is the vector of the i-th group of comparison points of curve b; It is the maximum vector of the comparison points on the two groups of curves in the double trend line chart;

[0049] Among them, the similarity of the two groups of curves in the double trend line chart The larger the value, the more similar the two groups of curves in the dual trend line graph are. Conversely, the greater the difference between the two groups of curves, the greater the similarity between the two groups of curves in the dual trend line graph. The energy corresponding to the double trend line graph of the two sets of curves with the largest and second largest values ​​is the two sets of best adapted energy for the production process of the industrial park;

[0050] Step 3: Obtain the best adaptive energy for the production process of the industrial park, analyze the application weight of the best adaptive energy, upload the pollutant output data of the industrial park, and decide whether to adjust the application weight of the best adaptive energy based on the pollutant generation data of the industrial park;

[0051] The analytical logic of the application weight of the best adaptation energy is expressed as:

[0052] ;

[0053] Where: weighting of energy applications for optimal adaptation; The energy usage accumulation in the dual trend line graph for the best adaptation energy correspondence; The collection of energy used for production processes in industrial parks; The cumulative energy usage in the double trend line chart corresponding to the jth energy; Accumulate the optimal adaptation energy usage time for industrial parks; Accumulate all energy usage hours for the industrial park;

[0054] Among them, the measurement unit of energy used in the production process of the industrial park is megajoule. Based on the above formula, the application weights of the two groups of optimally adapted energy are calculated and recorded as ;

[0055] Industrial park pollutants are either gaseous pollutants or liquid pollutants, and industrial park pollutant output data are the volume of pollutants;

[0056] The measurement of the output pollutants corresponding to the best adapted energy is expressed as:

[0057] ;

[0058] Where: To best adapt the energy to the volume of pollutants produced; Start timestamp collection for optimal adaptation of energy usage; End timestamp collection for optimal adaptation of energy usage; The pollutant output measured at the end timestamp of the best adapted energy use for group y; The pollutant output measured at the start timestamp of the best adapted energy use for group x;

[0059] Among them, based on the above formula, the corresponding pollutant output of the two groups of optimal adaptive energy is calculated and recorded as ;

[0060] Step 4: setting an adjustment factor, adjusting the application weight of the best adaptive energy based on the adjustment factor, and outputting the application weight of the best adaptive energy adjusted based on the adjustment factor;

[0061] Step 5: Obtain the adjusted application weight of the best adaptive energy, and modify the proportion of energy used in the production process of the industrial park based on the adjusted application weight of the best adaptive energy;

[0062] Step 6: Record the pollutant output data per unit time after the energy usage ratio is modified in the production process of the industrial park, recorded as A, and the pollutant output data per unit time before the energy usage ratio is modified, recorded as B. When A<B, continue to use the modified energy usage ratio. When A≥B, refresh the step.

[0063] In this embodiment, by executing the steps in the above embodiments, the emission of pollutants in the industrial park is reduced based on the root cause, the production efficiency of the industrial park is effectively improved, and the cost of pollutant treatment in the industrial park is reduced, so that the industrial park can further reduce the harm to the natural ecological environment while producing. Example

[0064] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park in Example 1 is further described in detail:

[0065] Energy usage information includes: electrical energy, chemical energy, biomass energy, and thermal energy. Product output includes: weighing weight or number of pieces. When constructing a dual trend line graph representing the dynamic changes of energy usage information and product output in an industrial park, the horizontal axis represents time in days, and the vertical axis represents any product output measurement unit in the product output and any energy usage measurement unit in the energy usage information. When the type of energy usage information in an industrial park is not unique, several groups of dual trend line graphs representing the dynamic changes of energy usage information and product output in the industrial park are constructed based on the type of energy usage information, so that the horizontal axis of each group of dual trend line graphs represents time, and the vertical axis represents a product output measurement unit and an energy usage measurement unit;

[0066] Among them, the line segments representing product output and energy consumption in the double trend line graph are curves, and the two sets of curves are rendered based on two different colors, and the horizontal axis of the double trend line graph represents a time span of 7 to 14 days.

[0067] like Figure 1 As shown in the figure, the logic of whether to adjust the application weight of the best adaptation energy is expressed as:

[0068] ;

[0069] Among them, when any one of the above situations is met, the decision of whether to adjust the application weight of the best adaptive energy is no, and when all the above situations are not met, the decision is yes;

[0070] When adjusting the application weight of the best adaptation energy, follow:

[0071] When, yes Adjust, after adjustment for , after adjustment for ;

[0072] When, yes Adjust, after adjustment for , after adjustment for .

[0073] In this embodiment, through the above-mentioned settings, further step execution data and logical support are provided for the step execution of the method in Example 1, ensuring the stable execution of the steps of the method in Example 1, and further limiting the logic of whether to adjust the application weight of the best adaptive energy based on the logical formula. Example

[0074] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park in Example 1 is further described in detail:

[0075] The modification of the proportion of energy used in the production process of industrial parks is subject to:

[0076] ;

[0077] Where: The original consumption ratio of all energy used in the industrial park except the best adapted energy; is the application weight of the adjusted optimal adaptation energy;

[0078] Among them, the energy application weights used in the production process of each industrial park are obtained based on the analytical logic of the application weights of the best adapted energy;

[0079] The comparison operation of A and B takes the total time span represented by the horizontal axis in the double trend line graph as the continuous comparison period, and the latest set of comparisons between A and B is continuously executed based on the continuous comparison period.

[0080] In this embodiment, the energy usage ratio used in the production process of the industrial park is modified through the above logical formula, so as to optimize the energy usage structure in the production process of the industrial park and reduce the amount of pollutants associated with the production in the industrial park.

[0081] In summary, during the execution of the method in the above embodiment, by collecting comprehensive analysis of the energy usage information, product output information and pollutant output information used in the production process of the industrial park, adaptive planning of various energy usage in the production process of the industrial park is carried out, so that the industrial park can reduce the output ratio of pollutants to a certain extent by optimizing the energy usage structure during the production process, thereby achieving the effect of reducing pollutant emissions in the industrial park, and ultimately reducing the treatment cost of pollutants generated in the production process of the industrial park and improving the production efficiency of the industrial park.

[0082] 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 aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park, characterized in that: include: Step 1: Collect the energy usage information used in the production process of the industrial park, collect the product output of the industrial park, and build a double trend line chart representing the dynamic changes of the energy usage information and product output of the industrial park based on the energy usage information and product output of the industrial park; Step 2: Traverse the double trend line graph, and determine the two groups of optimal adaptive energy for the production process of the industrial park based on the similarity of the two groups of curves in the double trend line graph; Step 3: Obtain the best adaptive energy for the production process of the industrial park, analyze the application weight of the best adaptive energy, upload the pollutant output data of the industrial park, and decide whether to adjust the application weight of the best adaptive energy based on the pollutant generation data of the industrial park; Step 4: setting an adjustment factor, adjusting the application weight of the best adaptive energy based on the adjustment factor, and outputting the application weight of the best adaptive energy adjusted based on the adjustment factor; Step 5: Obtain the adjusted application weight of the best adaptive energy, and modify the proportion of energy used in the production process of the industrial park based on the adjusted application weight of the best adaptive energy; Step 6: Record the pollutant output per unit time after the energy usage ratio is modified in the production process of the industrial park, recorded as A, and the pollutant output per unit time before the energy usage ratio is modified, recorded as B. When A<B, continue to use the modified energy usage ratio. When A≥B, refresh the step; The energy usage information includes: electrical energy, chemical energy, bioenergy, thermal energy, and the product output includes: weighing weight or number of pieces. When constructing the dual trend line graph representing the dynamic changes of the energy usage information and product output of the industrial park, the horizontal axis represents time in days, and the vertical axis represents any one of the product output measurement units in the product output and any one of the energy usage measurement units in the energy usage information. When the type of energy usage information of the industrial park is not unique, a plurality of groups of dual trend line graphs representing the dynamic changes of the energy usage information and product output of the industrial park are constructed based on the type of energy usage information, so that the horizontal axis of each group of dual trend line graphs represents time, and the vertical axis represents a product output measurement unit and an energy usage measurement unit; Among them, the line segments representing product output and energy consumption in the double trend line graph are curves, and the two sets of curves are rendered based on two different colors, and the horizontal axis of the double trend line graph represents a time span of 7 to 14 days.

2. The method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park according to claim 1, characterized in that: The similarity of the two groups of curves in the dual trend line graph is calculated by the following formula: ； Where: is the similarity of the two groups of curves in the dual trend line chart; It is the set of comparison points on the two sets of curves in the double trend line chart; is the vector of the i-th set of comparison points of curve a; is the vector of the i-th group of comparison points of curve b; It is the maximum vector of the comparison points on the two sets of curves in the double trend line chart; Among them, the similarity of the two groups of curves in the double trend line chart The larger the value, the more similar the two groups of curves in the dual trend line graph are. Conversely, the greater the difference between the two groups of curves, the greater the similarity between the two groups of curves in the dual trend line graph. The energy corresponding to the double trend line graph of the two sets of curves with the largest and second largest values ​​is the two sets of optimally adapted energy for the production process of the industrial park.

3. The method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park according to claim 1, characterized in that: The analytical logic of the application weight of the optimal adaptive energy is expressed as: ； Where: weighting of energy applications for optimal adaptation; The energy usage accumulation in the dual trend line graph for the best adaptation energy correspondence; The collection of energy used for production processes in industrial parks; The cumulative energy usage in the double trend line chart corresponding to the jth energy; Accumulate the optimal adaptation energy usage time for industrial parks; Accumulate all energy usage hours for the industrial park; Among them, the measurement unit of energy used in the production process of the industrial park is megajoule. Based on the above formula, the application weights of the two groups of optimally adapted energy are calculated and recorded as .

4. The method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park according to claim 1, characterized in that: The industrial park pollutants are any one of gaseous pollutants or liquid pollutants, and the industrial park pollutant output data is the volume of pollutants; The measurement of the output pollutants corresponding to the best adapted energy is expressed as: ； Where: To best adapt the energy to the volume of pollutants produced; Start timestamp collection for optimal adaptation of energy usage; End timestamp collection for optimal adaptation of energy usage; The pollutant output measured at the end timestamp of the best adapted energy use for group y; The pollutant output measured at the start timestamp of the best adapted energy use for group x; Among them, based on the above formula, the corresponding pollutant output of the two groups of optimal adaptive energy is calculated and recorded as .

5. The method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park according to claim 1, characterized in that: The logic for whether to adjust the application weight of the best adaptation energy is expressed as: ； Among them, when any one of the above situations is met, the decision on whether to adjust the application weight of the best adaptive energy is no, and when all the above situations are not met, the decision is yes.

6. The method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park according to claim 1, characterized in that: When adjusting the application weight of the best adaptation energy, follow: When, yes Adjust, after adjustment for , after adjustment for ; When, yes Adjust, after adjustment for , after adjustment for .

7. The method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park according to claim 1, characterized in that: The modification of the proportion of energy used in the production process of industrial parks is subject to: ； Where: The original consumption ratio of all energy used in the industrial park except the best adapted energy; is the applied weight for the adjusted optimal adaptation energy.

8. The method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park according to claim 7, characterized in that: The energy application weights used in the production process of each industrial park are obtained based on the analytical logic of the application weights of the best adapted energy.

9. The method for evaluating the coordinated reduction of pollutant emissions in an eco-industrial park according to claim 1, characterized in that: The comparison operation of A and B takes the total time span represented by the horizontal axis in the double trend line graph as a continuous comparison period, and the latest set of comparisons of A and B are continuously performed based on the continuous comparison period.

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