A method and system for monitoring and evaluating low-carbon energy consumption in industrial parks

Abstract

The present invention discloses a method and system for monitoring and evaluating low-carbon energy consumption in an industrial park, and belongs to the technical field of low-carbon energy consumption monitoring in an industrial park. The present invention divides an industrial park into sub-areas, and sets a carbon dioxide concentration sensor in each sub-area. The carbon dioxide concentration sensor collects the carbon dioxide concentration of each sub-area, constructs a carbon dioxide concentration change sequence, and reflects the carbon dioxide concentration change in the sub-area. Then, according to the carbon dioxide concentration change sequence, the sub-areas are classified to obtain carbon growth areas and carbon reduction areas. According to the concentration change coefficients of each sub-area in the carbon growth area and the carbon reduction area, the low-carbon energy consumption score of the industrial park is obtained, so as to realize the classification of different areas of the industrial park and improve the accuracy of low-carbon energy consumption monitoring and evaluation in the industrial park.

Description

Technical Field

[0001] The present invention relates to the technical field of low-carbon energy consumption monitoring in industrial parks, and in particular to a low-carbon energy consumption monitoring and evaluation method and system for industrial parks. Background Art

[0002] With the rapid development of industrialization and urbanization, the energy consumption and carbon emission issues of industrial parks, as important places for industrial production, have received increasing attention. In order to achieve sustainable development and reduce greenhouse gas emissions, it is particularly important to monitor and evaluate the low-carbon energy consumption of industrial parks. Traditional energy consumption monitoring methods often focus on the statistics of total energy consumption and lack the classification of different areas within industrial parks, resulting in low accuracy in monitoring and evaluating low-carbon energy consumption in industrial parks. Summary of the invention

[0003] In view of the above-mentioned deficiencies in the prior art, the present invention provides an industrial park low-carbon energy consumption monitoring and evaluation method and system to solve the existing problem of low accuracy of industrial park low-carbon energy consumption monitoring and evaluation.

[0004] In order to achieve the above-mentioned invention object, the technical solution adopted by the present invention is: a low-carbon energy consumption monitoring and evaluation method for an industrial park, comprising the following steps:

[0005] S1. Divide the industrial park into sub-regions, N is a positive integer;

[0006] S2. Setting a carbon dioxide concentration sensor in each sub-area;

[0007] S3, calculating the carbon dioxide concentration according to the voltage signal output by the detector in the carbon dioxide concentration sensor, and constructing a carbon dioxide concentration change sequence;

[0008] S4. According to the sequence of changes in carbon dioxide concentration, The sub-regions are classified into carbon growth regions and carbon reduction regions;

[0009] S5. Based on the concentration change coefficient of each sub-area in the carbon growth area and the carbon reduction area, the low-carbon energy consumption score of the industrial park is obtained.

[0010] Furthermore, S3 includes the following sub-steps:

[0011] S31, setting a sliding sequence with a length of M;

[0012] S32, sliding on the voltage signal using a sliding sequence, and calculating the carbon dioxide concentration according to the voltage value under the sliding sequence during each sliding;

[0013] S33. Construct a carbon dioxide concentration change sequence based on each carbon dioxide concentration.

[0014] Furthermore, the formula for calculating the carbon dioxide concentration in S32 is: , where C is the carbon dioxide concentration, α is the proportionality coefficient, V m is the mth voltage value under the sliding sequence, m is a positive integer, and e is a natural constant.

[0015] Furthermore, S33 is specifically as follows: subtract the carbon dioxide concentration at the tth moment from the carbon dioxide concentration at the t-1th moment to obtain the carbon dioxide change concentration, and use each carbon dioxide change concentration as an element to construct a carbon dioxide concentration change sequence, where t is the moment number.

[0016] Furthermore, the S4 comprises the following sub-steps:

[0017] S41, fitting each carbon dioxide concentration change sequence using the least square method to obtain a carbon dioxide concentration change curve;

[0018] S42, calculating the concentration variation coefficient of each sub-area according to the carbon dioxide concentration variation curve;

[0019] S43, classifying the sub-region corresponding to the concentration variation coefficient greater than 0 as a carbon growth region;

[0020] S44. Classify the sub-region corresponding to the concentration change coefficient less than 0 as a carbon reduction region.

[0021] Furthermore, the formula for calculating the concentration variation coefficient in S42 is: , where γ is the concentration variation coefficient of the sub-region, E i is the area formed by the i-th curve on the abscissa and the abscissa, E j is the area formed by the jth curve and the abscissa under the abscissa, L up L is the number of curve segments on the abscissa after the carbon dioxide concentration curve is divided by the abscissa. dowm is the number of curve segments located under the abscissa after the carbon dioxide concentration variation curve is divided by the abscissa, and i and j are positive integers.

[0022] Furthermore, the S5 comprises the following sub-steps:

[0023] S51, calculating the concentration variation coefficient of the carbon reduction region according to the concentration variation coefficient of the sub-region in the carbon reduction region;

[0024] S52, calculating the concentration variation coefficient of the carbon growth region according to the concentration variation coefficient of the sub-region on the carbon growth region;

[0025] S53. Calculate the low-carbon energy consumption score of the industrial park based on the concentration change coefficient of the carbon growth area and the concentration change coefficient of the carbon reduction area.

[0026] Furthermore, the formula for calculating the concentration variation coefficient of the carbon reduction area in S51 is: , where θ down is the concentration variation coefficient in the carbon reduction region, γ down,k is the concentration variation coefficient of the kth sub-region on the carbon reduction region, E down,k is the area of ​​the kth sub-region on the carbon reduction region, K down is the number of sub-regions on the carbon reduction region, k is a positive integer;

[0027] The formula for calculating the concentration variation coefficient of the carbon growth region in S52 is: , where θ up is the concentration variation coefficient of the carbon growth region, γ up,k is the concentration variation coefficient of the kth sub-region on the carbon growth region, E up,k is the area of ​​the kth sub-region on the carbon growth region, K up is the number of sub-regions in the carbon growth region.

[0028] Furthermore, the formula for calculating the low-carbon energy consumption score of the industrial park in S53 is: , where P is the low-carbon energy consumption score of the industrial park, arctan is the inverse tangent function, θ up is the concentration variation coefficient of the carbon growth region, θ down is the concentration variation coefficient in the carbon reduction area, and | | is the absolute value operation.

[0029] A low-carbon energy consumption monitoring and evaluation system for an industrial park, comprising: a segmentation unit, a setting unit, a sequence construction unit, a classification unit and a scoring output unit;

[0030] The dividing unit is used to divide the industrial park into sub-regions, N is a positive integer;

[0031] The setting unit is used to set a carbon dioxide concentration sensor in each sub-area;

[0032] The sequence construction unit is used to calculate the carbon dioxide concentration according to the voltage signal output by the detector in the carbon dioxide concentration sensor, and to construct a carbon dioxide concentration change sequence;

[0033] The classification unit is used to classify The sub-regions are classified into carbon growth regions and carbon reduction regions;

[0034] The scoring output unit is used to obtain a low-carbon energy consumption score for the industrial park according to the concentration change coefficient of each sub-area in the carbon growth area and the carbon reduction area.

[0035] In summary, the beneficial effects of the present invention are as follows: the present invention divides the industrial park into sub-areas, a carbon dioxide concentration sensor is set in each sub-area, the carbon dioxide concentration of each sub-area is collected by the carbon dioxide concentration sensor, a carbon dioxide concentration change sequence is constructed to reflect the change of carbon dioxide concentration in the sub-area, and then according to the carbon dioxide concentration change sequence, The sub-regions are classified into carbon growth regions and carbon reduction regions. The low-carbon energy consumption score of the industrial park is obtained according to the concentration change coefficient of each sub-region in the carbon growth region and the carbon reduction region, respectively. This realizes the classification of different regions of the industrial park and improves the accuracy of low-carbon energy consumption monitoring and evaluation in the industrial park. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 The figure is a flow chart of a low-carbon energy consumption monitoring and evaluation method for industrial parks. DETAILED DESCRIPTION

[0037] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0038] Example 1: Figure 1 As shown, a low-carbon energy consumption monitoring and evaluation method for an industrial park comprises the following steps:

[0039] S1. Divide the industrial park into sub-regions, N is a positive integer;

[0040] S2. Setting a carbon dioxide concentration sensor in each sub-area;

[0041] S3, calculating the carbon dioxide concentration according to the voltage signal output by the detector in the carbon dioxide concentration sensor, and constructing a carbon dioxide concentration change sequence;

[0042] S4. According to the sequence of changes in carbon dioxide concentration, The sub-regions are classified into carbon growth regions and carbon reduction regions;

[0043] S5. Based on the concentration change coefficient of each sub-area in the carbon growth area and the carbon reduction area, the low-carbon energy consumption score of the industrial park is obtained.

[0044] In step S1, the industrial park is divided N-1 times horizontally and then N-1 times vertically to obtain sub-areas.

[0045] The S3 comprises the following sub-steps:

[0046] S31, setting a sliding sequence with a length of M;

[0047] S32, sliding on the voltage signal using a sliding sequence, and calculating the carbon dioxide concentration according to the voltage value under the sliding sequence during each sliding;

[0048] S33. Construct a carbon dioxide concentration change sequence based on each carbon dioxide concentration.

[0049] In this embodiment, the carbon dioxide concentration sensor includes: an infrared light source and a detector, and measures the carbon dioxide concentration based on the infrared absorption principle.

[0050] The formula for calculating the carbon dioxide concentration in S32 is: , where C is the carbon dioxide concentration, α is the proportionality coefficient, V m is the mth voltage value under the sliding sequence, m is a positive integer, and e is a natural constant.

[0051] The present invention constructs a sliding sequence with a length of M, and the sliding sequence slides on the voltage signal. During each sliding, a carbon dioxide concentration is calculated according to the voltage value under the sliding sequence to ensure that the carbon dioxide concentration is related to all voltage values ​​under the sliding sequence and reduce the influence of noise.

[0052] In this embodiment, the proportionality coefficient is set based on experiments or experience.

[0053] The S33 is specifically as follows: subtract the carbon dioxide concentration at the tth moment from the carbon dioxide concentration at the t-1th moment to obtain the carbon dioxide change concentration, and use each carbon dioxide change concentration as an element to construct a carbon dioxide concentration change sequence, where t is the moment number.

[0054] The S4 comprises the following sub-steps:

[0055] S41, fitting each carbon dioxide concentration change sequence using the least square method to obtain a carbon dioxide concentration change curve;

[0056] S42, calculating the concentration variation coefficient of each sub-area according to the carbon dioxide concentration variation curve;

[0057] S43, classifying the sub-region corresponding to the concentration variation coefficient greater than 0 as a carbon growth region;

[0058] S44. Classify the sub-region corresponding to the concentration change coefficient less than 0 as a carbon reduction region.

[0059] The present invention performs fitting processing on each carbon dioxide concentration change sequence to obtain a carbon dioxide concentration change curve. The carbon dioxide concentration change curve is used to reflect the change of carbon dioxide concentration over a period of time. Then, according to the carbon dioxide concentration change curve, the concentration change coefficient of each sub-region is calculated, and the sub-region corresponding to the concentration change coefficient greater than 0 is classified as a carbon growth region, and the sub-region corresponding to the concentration change coefficient less than 0 is classified as a carbon reduction region, thereby realizing the classification of each sub-region.

[0060] The formula for calculating the concentration variation coefficient in S42 is: , where γ is the concentration variation coefficient of the sub-region, E i is the area formed by the i-th curve on the abscissa and the abscissa, E j is the area formed by the jth curve and the abscissa under the abscissa, L up L is the number of curve segments on the abscissa after the carbon dioxide concentration curve is divided by the abscissa. dowm is the number of curve segments located under the abscissa after the carbon dioxide concentration variation curve is divided by the abscissa, and i and j are positive integers.

[0061] The present invention calculates the concentration variation coefficient according to the difference between the area on the horizontal axis and the area under the horizontal axis, reflects the change of carbon dioxide over a period of time, and reflects the carbon emissions of the industrial park.

[0062] The S5 comprises the following sub-steps:

[0063] S51, calculating the concentration variation coefficient of the carbon reduction region according to the concentration variation coefficient of the sub-region in the carbon reduction region;

[0064] S52, calculating the concentration variation coefficient of the carbon growth region according to the concentration variation coefficient of the sub-region on the carbon growth region;

[0065] S53. Calculate the low-carbon energy consumption score of the industrial park based on the concentration change coefficient of the carbon growth area and the concentration change coefficient of the carbon reduction area.

[0066] The formula for calculating the concentration variation coefficient of the carbon reduction area in S51 is: , where θ down is the concentration variation coefficient in the carbon reduction region, γ down,k is the concentration variation coefficient of the kth sub-region on the carbon reduction region, E down,k is the area of ​​the kth sub-region on the carbon reduction region, K down is the number of sub-regions in the carbon reduction region, and k is a positive integer.

[0067] The formula for calculating the concentration variation coefficient of the carbon growth region in S52 is: , where θ up is the concentration variation coefficient of the carbon growth region, γ up,k is the concentration variation coefficient of the kth sub-region on the carbon growth region, E up,k is the area of ​​the kth sub-region on the carbon growth region, K up is the number of sub-regions in the carbon growth region.

[0068] The present invention obtains the concentration variation coefficient of the carbon reduction region based on the concentration variation coefficient of the sub-region in the carbon reduction region and the area of ​​the corresponding sub-region, which reflects the carbon dioxide reduction level in the carbon reduction region; and obtains the concentration variation coefficient of the carbon growth region based on the concentration variation coefficient of the sub-region in the carbon growth region and the area of ​​the corresponding sub-region, which reflects the carbon dioxide growth level in the carbon growth region.

[0069] The formula for calculating the low-carbon energy consumption score of the industrial park in S53 is: , where P is the low-carbon energy consumption score of the industrial park, arctan is the inverse tangent function, θ up is the concentration variation coefficient of the carbon growth region, θ down is the concentration variation coefficient in the carbon reduction area, and | | is the absolute value operation.

[0070] The low-carbon energy consumption score of the industrial park in the present invention is related to the difference between the concentration change coefficient of the carbon growth area and the concentration change coefficient of the carbon reduction area. The larger the coefficient, the higher the low-carbon energy consumption score of the industrial park. The smaller the coefficient, the lower the industrial park’s low-carbon energy consumption score.

[0071] Embodiment 2: A low-carbon energy consumption monitoring and evaluation system for an industrial park, comprising: a segmentation unit, a setting unit, a sequence construction unit, a classification unit and a scoring output unit;

[0072] The dividing unit is used to divide the industrial park into sub-regions, N is a positive integer;

[0073] The setting unit is used to set a carbon dioxide concentration sensor in each sub-area;

[0074] The sequence construction unit is used to calculate the carbon dioxide concentration according to the voltage signal output by the detector in the carbon dioxide concentration sensor, and to construct a carbon dioxide concentration change sequence;

[0075] The classification unit is used to classify The sub-regions are classified into carbon growth regions and carbon reduction regions;

[0076] The scoring output unit is used to obtain a low-carbon energy consumption score for the industrial park according to the concentration change coefficient of each sub-area in the carbon growth area and the carbon reduction area.

[0077] The specific implementation process of Example 2 is the same as that of Example 1.

[0078] The present invention divides the industrial park into sub-areas, a carbon dioxide concentration sensor is set in each sub-area, the carbon dioxide concentration of each sub-area is collected by the carbon dioxide concentration sensor, a carbon dioxide concentration change sequence is constructed to reflect the change of carbon dioxide concentration in the sub-area, and then according to the carbon dioxide concentration change sequence, The sub-regions are classified into carbon growth regions and carbon reduction regions. The low-carbon energy consumption score of the industrial park is obtained according to the concentration change coefficient of each sub-region in the carbon growth region and the carbon reduction region, respectively. This realizes the classification of different regions of the industrial park and improves the accuracy of low-carbon energy consumption monitoring and evaluation in the industrial park.

[0079] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A low-carbon energy consumption monitoring and evaluation method for an industrial park, characterized in that: The following steps are involved: S1. Divide the industrial park into sub-regions, N is a positive integer; S2. Setting a carbon dioxide concentration sensor in each sub-area; S3. Calculate the carbon dioxide concentration according to the voltage signal output by the detector in the carbon dioxide concentration sensor, and construct a carbon dioxide concentration change sequence, wherein the element in the carbon dioxide concentration change sequence is the subtraction of the carbon dioxide concentration at the tth moment and the carbon dioxide concentration at the t-1th moment; S4. According to the sequence of changes in carbon dioxide concentration, The sub-regions are classified into carbon growth regions and carbon reduction regions; S5. Obtain the low-carbon energy consumption score of the industrial park based on the concentration change coefficient of each sub-area in the carbon growth area and the carbon reduction area; The S4 comprises the following sub-steps: S41, fitting each carbon dioxide concentration change sequence using the least square method to obtain a carbon dioxide concentration change curve; S42, calculating the concentration variation coefficient of each sub-area according to the carbon dioxide concentration variation curve; S43, classifying the sub-region corresponding to the concentration variation coefficient greater than 0 as a carbon growth region; S44, classifying the sub-region corresponding to the concentration change coefficient less than 0 as a carbon reduction region; The formula for calculating the concentration variation coefficient in S42 is: , where γ is the concentration variation coefficient of the sub-region, E i is the area formed by the i-th curve on the abscissa and the abscissa, E j is the area formed by the jth curve and the abscissa under the abscissa, L up L is the number of curve segments on the abscissa after the carbon dioxide concentration curve is divided by the abscissa. dowm is the number of curve segments located under the abscissa after the carbon dioxide concentration variation curve is divided by the abscissa, i and j are positive integers; The S5 comprises the following sub-steps: S51, calculating the concentration variation coefficient of the carbon reduction region according to the concentration variation coefficient of the sub-region in the carbon reduction region; S52, calculating the concentration variation coefficient of the carbon growth region according to the concentration variation coefficient of the sub-region on the carbon growth region; S53. Calculate the low-carbon energy consumption score of the industrial park based on the concentration change coefficient of the carbon growth area and the concentration change coefficient of the carbon reduction area; The formula for calculating the concentration variation coefficient of the carbon reduction area in S51 is: , where θ down is the concentration variation coefficient in the carbon reduction region, γ down,k is the concentration variation coefficient of the kth sub-region on the carbon reduction region, E down,k is the area of ​​the kth sub-region on the carbon reduction region, K down is the number of sub-regions on the carbon reduction region, k is a positive integer; The formula for calculating the concentration variation coefficient of the carbon growth region in S52 is: , where θ up is the concentration variation coefficient of the carbon growth region, γ up,k is the concentration variation coefficient of the kth sub-region on the carbon growth region, E up,k is the area of ​​the kth sub-region on the carbon growth region, K up is the number of sub-regions in the carbon growth region; The formula for calculating the low-carbon energy consumption score of the industrial park in S53 is: , where P is the low-carbon energy consumption score of the industrial park, arctan is the inverse tangent function, θ up is the concentration variation coefficient of the carbon growth region, θ down is the concentration variation coefficient in the carbon reduction area, and | | is the absolute value operation.

2. The low-carbon energy consumption monitoring and evaluation method for industrial parks according to claim 1 is characterized in that: The S3 comprises the following sub-steps: S31, setting a sliding sequence with a length of M; S32, sliding on the voltage signal using a sliding sequence, and calculating the carbon dioxide concentration according to the voltage value under the sliding sequence during each sliding; S33. Construct a carbon dioxide concentration change sequence based on each carbon dioxide concentration.

3. The low-carbon energy consumption monitoring and evaluation method for industrial parks according to claim 2 is characterized in that: The formula for calculating the carbon dioxide concentration in S32 is: , where C is the carbon dioxide concentration, α is the proportionality coefficient, V m is the mth voltage value under the sliding sequence, m is a positive integer, and e is a natural constant.

4. The low-carbon energy consumption monitoring and evaluation method for industrial parks according to claim 2 is characterized in that: The S33 is specifically as follows: subtract the carbon dioxide concentration at the tth moment from the carbon dioxide concentration at the t-1th moment to obtain the carbon dioxide change concentration, and use each carbon dioxide change concentration as an element to construct a carbon dioxide concentration change sequence, where t is the moment number.

5. A low-carbon energy consumption monitoring and evaluation system for industrial parks, implemented based on the low-carbon energy consumption monitoring and evaluation method for industrial parks according to any one of claims 1 to 4, characterized in that: include: Segmentation unit, setting unit, sequence construction unit, classification unit and scoring output unit; The dividing unit is used to divide the industrial park into sub-regions, N is a positive integer; The setting unit is used to set a carbon dioxide concentration sensor in each sub-area; The sequence construction unit is used to calculate the carbon dioxide concentration according to the voltage signal output by the detector in the carbon dioxide concentration sensor, and to construct a carbon dioxide concentration change sequence; The classification unit is used to classify The sub-regions are classified into carbon growth regions and carbon reduction regions; The scoring output unit is used to obtain a low-carbon energy consumption score for the industrial park according to the concentration change coefficient of each sub-area in the carbon growth area and the carbon reduction area.

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