A method, device, and computer-readable storage medium for confirming a pollution index

Abstract

The present application discloses a method, device, and computer-readable storage medium for confirming a pollution index, which relates to the field of environmental protection. By obtaining environmental quality factors, determining single-factor indices based on the environmental quality factors, obtaining the average value of all single-factor indices, when a single-factor index is a maximum value, determining the comprehensive weight and occurrence probability of the maximum value, determining a representative single-factor index according to the comprehensive weight and occurrence frequency, and determining the pollution index of the environment according to the representative single-factor index and the average value. A representative single-factor index is determined through the average value of all single-factor indices and the comprehensive weight and occurrence frequency of the single-factor index that is the maximum value, taking into account the impact of the maximum value on environmental pollution and the potential impact of large range values on the stability of the environmental system due to different degrees of dispersion, and adjusting the final environmental pollution index using the occurrence frequency of the maximum value to avoid the situation where the calculation of the pollution index is too large due to only one maximum value appearing.

Description

Technical Field

[0001] The present application relates to the field of environmental protection, and in particular to a method and device for determining a pollution index and a computer-readable storage medium. Background Art

[0002] In environmental science, environmental factors are categorized as water, air, and soil. In practice, this data is vast and highly variable, with standard deviations varying significantly across time periods. Currently, the Nemerow pollution index is used to calculate a representative pollution index from this vast array of environmental factor data. This method calculates the representative pollution index by combining the maximum value from a group of test data with the average of that group. This method deviates significantly from actual environmental test results. For example, if only one single factor index among numerous test data points is significantly greater than 1.0, while the remaining values are all less than 0.8, the calculated result will be biased upward.

[0003] In view of the above technical problems, seeking a method for determining a representative pollution index is an urgent problem to be solved by those skilled in the art. Summary of the Invention

[0004] The purpose of this application is to provide a method, device and computer-readable storage medium for confirming a pollution index.

[0005] To solve the above technical problems, the present application provides a method for confirming a pollution index, comprising:

[0006] Obtaining the environmental quality factor of the environment to be measured collected by the collection device;

[0007] Determine a single factor index according to the environmental quality factor, and obtain an average value of all the single factor indices;

[0008] Determine whether there is a single factor index with a maximum value;

[0009] If so, determine the comprehensive weight of the maximum value and the probability of occurrence;

[0010] Determine a representative single factor index according to the comprehensive weight and the occurrence frequency;

[0011] The pollution index of the environment to be measured is determined according to the representative single factor index and the average value.

[0012] Preferably, the maximum value includes a first maximum value and a second maximum value, and if the single factor index is at least one of the first maximum value or the second maximum value, the single factor index is deemed to be a maximum value.

[0013] Preferably, determining whether the single factor index is the first maximum value includes:

[0014] Obtain the difference between the single-factor index and the average value;

[0015] Determine the standard deviation of all the single-factor indices;

[0016] Determine the ratio of the difference to the standard deviation, and judge whether the ratio is greater than the corresponding value in the test table;

[0017] If so, determine the single-factor index as the first maximum value;

[0018] If not, determine that the single-factor index is not the first maximum value;

[0019] Judging whether the single-factor index is the second maximum value includes:

[0020] Judge whether the single-factor index is greater than a preset threshold;

[0021] If so, identify the single-factor index greater than the preset threshold as the second maximum value;

[0022] If not, the single-factor index is not the second maximum value.

[0023] Preferably, determining the comprehensive weight of the maximum value includes:

[0024] If the single-factor index is the first maximum value or the second maximum value, then determine the maximum value weight of the first maximum value or the maximum value weight of the second maximum value as the comprehensive weight;

[0025] If the single-factor index is the first maximum value and the second maximum value, then determine the product of the maximum value weight of the first maximum value and the maximum value weight of the second maximum value;

[0026] Take the product as the comprehensive weight.

[0027] Preferably, determining the occurrence frequency of the maximum value includes:

[0028] Obtain the number of times the maximum value appears;

[0029] Obtain the product of the number of detection days and the number of detection cross-sections;

[0030] Determine the ratio of the number of times the maximum value appears to the product of the number of detection days and the number of detection cross-sections as the occurrence frequency.

[0031] Preferably, if the single-factor index is not the maximum value, it further includes:

[0032] Determine the average value as the pollution index.

[0033] Preferably, the determination of the single - factor index according to the environmental quality factor includes:

[0034] Obtain the environmental quality standard corresponding to the environment to be measured;

[0035] Determine the ratio of the environmental quality factor to the environmental quality standard;

[0036] Take the ratio as the single - factor index.

[0037] To solve the above - mentioned technical problems, the present application also provides a device for confirming the pollution index, including:

[0038] A first acquisition module, configured to acquire the environmental quality factor of the environment to be measured collected by the acquisition device;

[0039] A second acquisition module, configured to determine the single - factor index according to the environmental quality factor and acquire the average value of all the single - factor indices;

[0040] A judgment module, configured to judge whether there is a single - factor index that is a maximum value. If so, trigger the first determination module;

[0041] The first determination module is configured to determine the comprehensive weight and the occurrence probability of the maximum value;

[0042] A second determination module, configured to determine the representative single - factor index according to the comprehensive weight and the occurrence frequency;

[0043] A third determination module, configured to determine the pollution index of the environment to be measured according to the representative single - factor index and the average value.

[0044] To solve the above - mentioned technical problems, the present application also provides a device for confirming the pollution index, including a memory for storing a computer program;

[0045] A processor, configured to implement the steps of the method for confirming the pollution index as described above when executing the computer program.

[0046] To solve the above - mentioned technical problems, the present application also provides a computer - readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for confirming the pollution index as described above are implemented.

[0047] The present application provides a method for confirming a pollution index, which obtains the environmental quality factor of the environment to be measured collected by the collection equipment, determines the single factor index based on the environmental quality factor, obtains the average value of all single factor indexes, and then determines whether there is a single factor index with a maximum value. If so, the comprehensive weight and probability of occurrence of the maximum value are determined, and the representative single factor index is determined based on the comprehensive weight and frequency of occurrence. The pollution index of the environment to be measured is determined based on the representative single factor index and the average value. It can be seen that this method determines a representative single factor index by the average value of all single factor indexes and the comprehensive weight and frequency of occurrence of the single factor index with a maximum value, comprehensively considering the environmental pollution impact caused by the exceeding value, and the potential impact of the large range value on the stability of the environmental system due to different degrees of discreteness, and uses the frequency of occurrence of the maximum value to adjust the final environmental pollution index, avoiding the situation where the pollution index calculation is too large due to only one maximum value.

[0048] On this basis, the present application also provides a pollution index confirmation device and a computer-readable storage medium, which have the same effect as the pollution index confirmation method. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0050] Figure 1 A flowchart of a method for confirming a pollution index provided in an embodiment of the present application;

[0051] Figure 2 A flowchart of another method for confirming a pollution index provided in an embodiment of the present application;

[0052] Figure 3 A structural diagram of a pollution index confirmation device provided in an embodiment of the present application;

[0053] Figure 4 This is a structural diagram of a pollution index confirmation device provided by another embodiment of the present application. DETAILED DESCRIPTION

[0054] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0055] The core of this application is to provide a method, device and computer-readable storage medium for confirming pollution index.

[0056] In order to enable those skilled in the art to better understand the solution of this application, the following further detailed description of this application will be given in conjunction with the accompanying drawings and specific embodiments.

[0057] Figure 1 It is a flowchart of a method for confirming pollution index provided by an embodiment of this application. As Figure 1 shown, the method for confirming pollution index includes the following steps.

[0058] S10: Obtain the environmental quality factors of the environment to be measured collected by the collection device.

[0059] S11: Determine the single-factor index according to the environmental quality factors, and obtain the average value of all single-factor indexes.

[0060] S12: Determine whether there is a single-factor index that is a maximum value. If so, enter step S13.

[0061] S13: Determine the comprehensive weight and occurrence frequency of the maximum value.

[0062] S14: Determine the representative single-factor index according to the comprehensive weight and occurrence frequency.

[0063] S15: Determine the pollution index of the environment to be measured according to the representative single-factor index and the average value.

[0064] It can be understood that in environmental science, environmental elements are divided into water, air, soil, etc. In actual work, there are a large number of detection data of environmental elements. The detection data is large in quantity and has a large range, and the standard deviation varies greatly in different time periods. At present, the representative pollution index is calculated from the detection data of many environmental elements through the Nemerow pollution index. The representative pollution index is calculated by the maximum value in a group of detection data and the average value of this group of data. This calculation method has a large deviation from the actual environmental detection results. For example, when only one single-factor index in a large number of detection data is much greater than 1.0 and the rest are less than 0.8, the calculated result will be too large. Therefore, a method for confirming pollution index is proposed to solve the above problems.

[0065] As described in steps S10 and S11, obtain the environmental quality factors of the environment to be measured collected by the collection device, determine the single-factor index according to the environmental quality factors, determine the average value of all single-factor indexes, and arrange the single-factor indexes from largest to smallest. In this embodiment, the collection device is not limited, and the collection device only needs to be able to extract the environmental quality factors of the environment to be measured. In addition, there is no limitation on how to determine the single-factor index according to the environmental quality. As a preferred embodiment, it is calculated by the environmental quality factor and the environmental function quality standard corresponding to the environmental function area. Single-factor index = environmental quality factor / environmental function quality standard value. However, it is not limited to this method, and it can be selected according to the specific implementation method.

[0066] On this basis, as described in step S12, determine whether there is a single-factor index that is a maximum value. If so, enter step S13. Among them, there is no limitation on how to determine whether the single-factor index is a maximum value. It can be determined by setting a threshold, and the single-factor index above the threshold or the single-factor index below the threshold is used as the maximum value. This embodiment does not limit this, and the method of determining whether the single-factor index is a maximum value can be selected according to the specific implementation method.

[0067] As mentioned in step S13, determine the comprehensive weight and the occurrence frequency of the maximum value. This embodiment does not limit how to determine the comprehensive weight and the occurrence frequency of the maximum value. Among them, the determination of the occurrence frequency can be determined by the detection date, the number of detections, etc., and this embodiment will not elaborate. In addition, as mentioned in steps S14 and S15, determine the representative single-factor index according to the comprehensive weight and the occurrence frequency, and determine the pollution index of the environment to be measured according to the representative single-factor index and the average value. How to specifically implement this embodiment will not be elaborated.

[0068] A method for confirming a pollution index provided by this embodiment obtains the environmental quality factors of the environment to be measured collected by the collection device, determines the single-factor index according to the environmental quality factors, obtains the average value of all single-factor indexes, then determines whether there is a single-factor index that is a maximum value. If so, determine the comprehensive weight and the occurrence probability of the maximum value, determine the representative single-factor index according to the comprehensive weight and the occurrence frequency, and determine the pollution index of the environment to be measured according to the representative single-factor index and the average value. It can be seen that this method determines a representative single-factor index through the average value of all single-factor indexes and the comprehensive weight and occurrence frequency of the single-factor index that is a maximum value, comprehensively considering the environmental pollution impact caused by the exceeded value, and the potential impact on the environmental system stability brought by the large range difference due to different degrees of dispersion, and adjusts the final environmental pollution index by using the occurrence frequency of the maximum value, avoiding the situation that the calculation of the pollution index is too large caused by only one maximum value.

[0069] Based on the above embodiments, the maximum value is defined, where the maximum value includes a first maximum value and a second maximum value, and when the single-factor index is at least one of the first maximum value and the second maximum value, the single-factor index is determined to be the maximum value.

[0070] The determination of whether the single-factor index is the first maximum value and the second maximum value is defined and implemented through the following steps.

[0071] Determining whether the single-factor index is the first maximum value includes:

[0072] Obtaining the difference between the single-factor index and the average value;

[0073] Determining the standard deviation of all single-factor indices;

[0074] Determining the ratio of the difference to the standard deviation and judging whether the ratio is greater than the corresponding value in the test table;

[0075] If so, determining that the single-factor index is the first maximum value;

[0076] If not, determining that the single-factor index is not the first maximum value;

[0077] Determining whether the single-factor index is the second maximum value includes:

[0078] Judging whether the single-factor index is greater than a preset threshold;

[0079] If so, determining the single-factor index greater than the preset threshold as the second maximum value;

[0080] If not, the single-factor index is not the second maximum value.

[0081] The test table mentioned in this embodiment is the T extreme value verification table. It can be used to determine whether the single-factor index includes the first maximum value. And it is determined with the value corresponding to the single significance level of 0.05 and the degree of freedom of N - 1 in the T extreme value verification table, where N is the number of single-factor indices. For example, the number of single-factor indices is 33, and there are four first single-factor indices, which are 8.29, 3.57, 0.89, and 0.85. The average value of all single-factor indices is 0.664. First, judge whether the largest single-factor index is the first maximum value. Now obtain the difference D, and D is 7.626. Then obtain the standard deviation SS of all single-factor indices. SS is 4.795. Determine the ratio of D to SS, and the ratio is 5.1. Judge the comparison between 5.1 and the significance level in column 32 of the table. The significance level for N = 33 is 1.694, and since 5.1 is greater than 1.694, 8.29 is the first maximum value. Then judge whether the subsequent single-factor indices are the first maximum value according to this method until the quantity requirement for including or satisfying the first maximum value selection is met.

[0082] In addition, determining whether the single-factor index is the second maximum value is done by judging whether the single-factor index is greater than a preset threshold. If so, it is determined that the single-factor index is the second maximum value; if not, it is determined that the single-factor index is not the second maximum value. Among them, when the single-factor index is greater than the preset threshold, it is considered that the single-factor index greater than the preset threshold is the second maximum value. In addition, the specific value of the preset threshold in this embodiment is not limited, and the preset threshold can be set through specific implementation methods. In this embodiment, as a preferred implementation method, the preset threshold is taken as 0.8. It should be noted that the single-factor index may be both the first maximum value and the second maximum value at the same time, or the single-factor index may be one of the first maximum value or the second maximum value.

[0083] The maximum values provided in this embodiment include the first maximum value and the second maximum value, and including any one of the first maximum value or the second maximum value is recognized. The first single-factor index includes the maximum value, and the determination methods of the first maximum value and the second maximum value are introduced, making the way to obtain the maximum value simpler and the confirmation method more accurate.

[0084] Based on the above embodiments, a description is given on how to determine the comprehensive weight of the maximum value. Determining the comprehensive weight of the maximum value includes the following steps.

[0085] If the single-factor index is only the first maximum value or the second maximum value, then determine the maximum value weight of the first maximum value or the maximum value weight of the second maximum value as the comprehensive weight;

[0086] If the single-factor index is the first maximum value and the second maximum value, then determine the product of the maximum value weight of the first maximum value and the maximum value weight of the second maximum value;

[0087] Take the product as the comprehensive weight.

[0088] It can be understood that if there is a maximum value, it is judged whether the single-factor index is the first maximum value or the second maximum value or is both the first maximum value and the second maximum value. When only the first maximum value is included, determine the maximum value weight of the first maximum value as the comprehensive weight. When only the second maximum value is included, determine the maximum value weight of the second maximum value as the comprehensive weight. When both the first maximum value and the second maximum value are included, determine the product of the maximum value weight of the first maximum value and the maximum value weight of the second maximum value as the comprehensive weight. If there is no maximum value, that is, neither the first maximum value nor the second maximum value is included, then there is no comprehensive weight.

[0089] In addition, the maximum value weight of the first maximum value is obtained by comparing the ratio of D to SS with the corresponding value in the T extreme value table at a single significance level of 0.05 and a degree of freedom of N - 1.

[0090] The maximum weight of the second maximum value is obtained by the following method, 1.0 > S i ≥ 0.8, Z ui = 1.0; The environmental function quality standard is B j , and the highest environmental quality standard is B max , and the lowest environmental quality standard is B min , (r, j, max are natural numbers greater than 0, and min ≤ r + j ≤ max), B i = {B min ,..., B j-1 , B j , B j+1 ,..., B max}; When S i ≥ 1.0, for the single - factor index where the smaller the environmental quality factor value is, the better, B j+r / B j ≥ S i > B j+r-1 / B j , Z ui = 0.5×(B j+r / B j + B j+r-1 / B j ); S i > B max / B j , Z ui = B max / B j . When S i ≥ 1.0, for the single - factor index where the larger the environmental quality factor value is, the better, B j / B j+r ≥ S i > B j / B j+r-1 , Z ui = 0.5×(B j / B j+r + B j / B j+r-1 ); S i > B j / B max , Z ui = B j / B max .

[0091] It should be noted that in the same set of numerical values, among the single-factor indices arranged from largest to smallest, each single-factor index can be either a separate first maximum value or a separate second maximum value, or can be both the first maximum value and the second maximum value at the same time. If the largest single-factor index is both the first maximum value and the second maximum value, then calculate the maximum weight of the first maximum value and the maximum weight of the second maximum value at the same time. The product of the two is normalized to obtain the comprehensive weight of the first largest single-factor index. Thus, for the second largest single-factor index, if it is both the first maximum value and the second maximum value, calculate the comprehensive weight in the same way as the largest single-factor index. If the second largest single-factor index is only the first maximum value, then calculate the maximum weight of the first maximum value as the comprehensive weight of the second largest single-factor index and perform weight normalization. If the second largest single-factor index is only the second maximum value, then calculate the maximum weight of the second maximum value as the comprehensive weight of the second largest single-factor index and perform weight normalization. And so on.

[0092] According to the maximum weight Z of the first maximum value ti and the maximum weight Z of the second maximum value ui Determine the comprehensive weight and perform normalization. If the selected single-factor index is both the first maximum value and the second maximum value, the comprehensive weight is the product of the first maximum weight and the second maximum weight, Z 综合 i = Z ti ×Z ui . If the selected single-factor index is only the first maximum value or the second maximum value, the comprehensive weight is only the first maximum weight or the second maximum weight itself, Z 综合i = Z ti or Z 综合i = Z ui . Perform normalization on the comprehensive weight. Z 归 One - i = {Z 归一1 ,..., Z 归一m}; Z 综合 i = {Z 综合 1,..., Z 综合 m}; Z 归 One - i = Z 综合 i / ∑Z comprehensive i.

[0093] For the method for determining the comprehensive weight provided in this embodiment, if the single-factor index is only the first maximum value or the second maximum value, then it is determined that the maximum weight of the first maximum value or the maximum weight of the second maximum value is the comprehensive weight. If the single-factor index is both the first maximum value and the second maximum value at the same time, then determine the product of the maximum weight of the first maximum value and the maximum weight of the second maximum value, and use the product as the comprehensive weight. It can be seen that this method reduces the amount of calculation and can accurately calculate the comprehensive weight.

[0094] Based on the above embodiments, a description is given on how to determine the frequency of the occurrence of the maximum value, and the specific steps are as follows.

[0095] Obtain the number of times the maximum value appears;

[0096] Obtain the product of the number of detection days and the number of detection cross-sections;

[0097] Determine that the ratio of the number of times the maximum value appears to the product of the number of detection days and the number of detection cross-sections is the occurrence frequency.

[0098] It can be understood that the number of times the maximum value appears, that is, the number of times it appears in all single-factor indices. In addition, the number of detection days is the number of days for obtaining all single-factor indices. By determining the ratio of the number of times the maximum value appears to the product of the number of detection cross-sections as the occurrence frequency. The occurrence frequency is represented by Q i and is expressed as Q i = A i Number of occurrences / ∑ (Number of detection days × Number of detection cross-sections), where A i is the set of maximum values, that is, the union of the first maximum value and the second maximum value. Finally, the representative single-factor index is determined by the occurrence frequency of the maximum value and the comprehensive weight of the maximum value. Specifically, the comprehensive weight is normalized, Z 归一 = Z 综合i / ∑Z 综合i , where Z 综合i is the comprehensive weight determined in the above embodiments, and P 代表 = ∑A i × Z 归一 × ∑Q i + P 平均 × (1 - ∑Q i ), and finally the pollution index is determined according to the average value and the representative single-factor index.

[0099]

[0100] Taking a set of single-factor indices detected from July 1, 2019 to September 25, 2019 as an example, Table 1 is the DO single-factor index table. As shown in Table 1, S i is the set of single-factor indices. Among them, most of the single-factor indices are obtained by collecting environmental quality factors through a collection device and calculating the ratio of the environmental quality factor to the environmental quality standard. However, the methods for determining the DO single-factor index and the pH single-factor index are different. The calculation formula for the DO single-factor index is as follows:

[0101] S DO,i = B j-DO / M DOi (M DOi ≤ DO f )

[0102]

[0103] S DO.i represents the DO single-factor index; M DO.i represents the DO environmental quality factor, B j-DO represents the DO environmental quality standard corresponding to the environmental function area, with the unit of mg / L, DO f represents the saturated dissolved oxygen concentration, with the unit of mg / L. For rivers, DO f = 468 / (31.6 + T), where T is the water temperature.

[0104] According to the province where the river to be detected is located, in accordance with the surface water function zoning of that province, the detected river is a Class III surface water function area. Therefore, the Class III standard in the "Surface Water Environment Quality Standard" GB3838 - 2002 is implemented. The highest standard in the "Surface Water Environment Quality Standard" GB3838 - 2002 is the Class V standard, and the lowest standard is the Class I standard. Since it is to evaluate DO, and DO is an environmental element index where the smaller the environmental quality factor, the better. Therefore, j = Class III, and the DO environmental function area standard B j-DO = B Ⅲ-DO = 5 mg / L; the highest environmental quality standard is B j+r = B Ⅴ-DO = 2 mg / L. B i-DO = {B I , B Ⅱ , B Ⅲ , B Ⅳ , B Ⅴ}= {7.5, 6, 5, 3, 2}; the dimension (unit) of the B set is mg / L.

[0105] In the above embodiments, as a preferred implementation, the preset threshold is selected as 0.8. That is, the single-factor index greater than 0.8 is the second maximum value. Among them, when the single-factor index is between 0.8 and 1.0, the current single-factor index is considered a potentially exceeding-standard single-factor index. When the single-factor index is greater than 1.0, the current single-factor index is considered an exceeding-standard single-factor index. First, arrange the single-factor indices that are the second maximum value from largest to smallest, which are 8.29, 3.57, 0.89, and 0.85. Then, determine whether these four single-factor indices and the single-factor indices less than 0.8 are the first maximum value. First, judge 8.29. D is 8.29 - 0.664 = 7.626, the standard deviation SS is 1.495, and D / SS = 5.1. Check the value corresponding to the single significance level of 0.05 and the degree of freedom of N - 1 in the T extreme value check table for determination. The corresponding value in the table is 1.694, and 5.1 is greater than 1.694. Therefore, 8.29 is the first maximum value. Use this method to determine the remaining single-factor indices. Among them, 3.57 is the first maximum value, and 0.89 and 0.85 are not the first maximum value. It can be seen that since 0.89 and 0.85 are not the first maximum value, it is not necessary to verify whether the single-factor indices less than 0.8 are the first maximum value.

[0106] Determine the maximum weight Z of the first maximum value ti , the maximum weight of 8.29 is as described in the above steps. The ratio of D to SS is compared with the value corresponding to the single significance level of 0.05 and the degree of freedom of N - 1 in the T extreme value check table to obtain the maximum weight of the first maximum value. Then, the maximum weights of 8.29 and 3.57 are 3.01 and 1.15 respectively.

[0107] Determine the maximum weight of the second maximum value. DO belongs to the single-factor index where the larger the environmental quality factor value, the better. When 1.0 > S i ≥0.8, Z ui = 1.0; when S DO = 0.89, S DO = 0.85, Z uDO = 1.0; it has been stated above that j = Class III. When S DO ≥1.0, r = 1 because B j / B j+r ≥S i >B j / B j+r-1 , Z uDO = 0.5×(B j / B j+r + B j / B j+r-1 ), so B Ⅲ / B Ⅳ ≥S DO> 1.0 (B Ⅲ / B Ⅲ ), i.e., 1.67 ≥ S DO > 1.0, Z uDO = 0.5 × (B Ⅲ / B Ⅳ + 1.0) = 0.5 × (1.67 + 1.0) = 1.34; r = 2, because B j / B j+r ≥ S i > B j / B j+r-1 , Z uDO = 0.5 × (B j / B j+r + B j / B j+r-1 ), so B Ⅲ / B Ⅴ ≥ S DO > 1.0 (B Ⅲ / B Ⅳ ), i.e., 2.5 ≥ S DO > 1.67, Z uDO = 0.5 × (B Ⅲ / B Ⅴ + B Ⅲ / B Ⅳ ) = 0.5 × (2.5 + 1.67) = 2.09; because S DO > B Ⅲ / B Ⅳ , Z ui = B Ⅲ / B Ⅳ = 2.5. Therefore, Z ui = {2.5, 2.5, 1.0, 1.0}.

[0108] Z 综合8.29，3.57，0.89，0.85 = Z t8.29，3.57，0.89，0.85 × Z u8.29，3.57，0.89，0.85 = {2.5 × 3.01, 2.5 ×

[0109] 1.15, 1.0, 1.0} = {7.525, 2.875, 1.0, 1.0}, Z 归一i = {Z 归一1 ,..., Z 归一4} = {0.606, 0.232, 0.081, 0.081}.

[0110] In addition, determine the frequency of the occurrence of the maximum value. Among them, there are a total of 9 detection days, including 3 detection days, 3 detection surfaces, and 6 detection days with 4 detection cross-sections;

[0111] Q i = 1 / (3 × 3 + 4 × 6) = 0.0303, ∑Qi = 0.12; 1 - ∑Q i = 1 - 4×0.0303 = 0.88;

[0112] Then, determine the representative single - factor index:

[0113] Representative single - factor index = ∑ maximum value × maximum - value normalization comprehensive weight × maximum - value occurrence frequency+average value × (1 - ∑ maximum - value occurrence frequency); P 代表 = A i ×Z 归一i ×Q i +S 平均 ×(1 - ∑Q i )。

[0114] P 代表 = ∑A i ×Z 归一 ×∑Q i +P 平均 ×(1 - ∑Q i ) = 1.31。

[0115] Finally, determine the pollution index based on the representative single - factor index and the average value of all single - factor indices:

[0116]

[0117] The pollution index is 1.04。

[0118] Table 1 DO single - factor index table

[0119] Serial number Detection date Detection section DO single-factor index Serial number Detection date Detection section DO single-factor index <![CDATA[S1]]> 2019.7.1 1# 0.2 <![CDATA[S 17 > 2019.8.19 b# 0.39 <![CDATA[S2]]> 2019.7.1 2# 0.2 <![CDATA[S 18 > 2019.8.19 c# 0.33 <![CDATA[S3]]> 2019.7.1 3# 0.21 <![CDATA[S 19 > 2019.8.30 1# 0.22 <![CDATA[S4]]> 2019.7.1 4# 0.34 <![CDATA[S 20 > 2019.8.30 2# 0.19 <![CDATA[S5]]> 2019.7.15 a# 0.41 <![CDATA[S 21 > 2019.8.30 3# 0.25 <![CDATA[S6]]> 2019.7.15 b# 0.48 <![CDATA[S 22 > 2019.8.30 4# 0.85 <![CDATA[S7]]> 2019.7.15 c# 0.43 <![CDATA[S 23 > 2019.9.11 1# 0.25 <![CDATA[S8]]> 2019.7.20 1# 0.063 <![CDATA[S 24 > 2019.9.11 2# 0.22 <![CDATA[S9]]> 2019.7.20 2# 0.13 <![CDATA[S 25 > 2019.9.11 3# 0.22 <![CDATA[S 10 > 2019.7.20 3# 0.015 <![CDATA[S 26 > 2019.9.11 4# 0.71 <![CDATA[S 11 > 2019.7.20 4# 0.89 <![CDATA[S 27 > 2019.9.17 a# 0.16 <![CDATA[S 12 > 2019.8.13 1# 0.47 <![CDATA[S 28 > 2019.9.17 b# 0.23 <![CDATA[S 13 > 2019.8.13 2# 0.47 <![CDATA[S 29 > 2019.9.17 c# 0.53 <![CDATA[S 14 > 2019.8.13 3# 0.46 <![CDATA[S 30 > 2019.9.25 1# 0.093 <![CDATA[S 15 > 2019.8.13 4# 8.29 <![CDATA[S 31 > 2019.9.25 2# 0.22 <![CDATA[S 16 > 2019.8.19 a# 0.27 <![CDATA[S 32 > 2019.9.25 3# 0.15 <![CDATA[S 33 > 2019.9.25 4# 3.57

[0120] The method for determining the maximum - value occurrence frequency provided in this embodiment obtains the number of times the maximum value appears, obtains the product of the number of detection days and the number of detection sections, and determines that the ratio of the number of times the maximum value appears to the product of the number of detection days and the number of detection sections is the occurrence frequency. Finally, through the normalization processing of the comprehensive weight, then calculate the representative single - factor index, and finally calculate the pollution index. This method is simple to calculate and the calculation is relatively accurate.

[0121] In a specific embodiment, it also includes the case where there is no single - factor index as the maximum value. Considering this case, this embodiment provides a flowchart of another method for confirming the pollution index, Figure 2 which is the flowchart of another method for confirming the pollution index provided by the embodiment of the present application. As Figure 2 shown, on the basis of step S12, it also includes.

[0122] S16: Determine that the average value is the pollution index.

[0123] It can be understood that if all single-factor indices are not at their maximum values, it proves that the current environment does not have the risks of potential over-standard, over-standard, and system instability factors. Therefore, the average value is used as the pollution index. When all single-factor indices are not at their maximum values, the average value of all single-factor indices is used as the pollution index in this embodiment. This method reduces the computational amount. When there is obviously no threat of environmental pollution, using the average value as the pollution index improves the computational efficiency and the accuracy of the environmental pollution index.

[0124] In the above embodiment, the method for confirming the pollution index is described in detail. The present application also provides an embodiment corresponding to the device for confirming the pollution index. It should be noted that the present application describes the embodiments of the device part from two perspectives, one is from the perspective of functional modules, and the other is from the perspective of hardware.

[0125] Figure 3 The structure diagram of a device for confirming the pollution index provided by an embodiment of the present application is as Figure 3 shown. The device for confirming the pollution index includes:

[0126] A first acquisition module 14, configured to acquire the environmental quality factors of the environment to be measured collected by the acquisition device;

[0127] A second acquisition module 15, configured to determine the single-factor index according to the environmental quality factors and acquire the average value of all the single-factor indices;

[0128] A judgment module 16, configured to judge whether there is a single-factor index that is at its maximum value. If so, trigger the first determination module;

[0129] A first determination module 17, configured to determine the comprehensive weight and the occurrence frequency of the maximum value;

[0130] A second determination module 18, configured to determine the representative single-factor index according to the comprehensive weight and the occurrence frequency;

[0131] A third determination module 19, configured to determine the pollution index of the environment to be measured according to the representative single-factor index and the average value.

[0132] The pollution index confirmation device provided in this embodiment includes a first acquisition module, a second acquisition module, a judgment module, a first determination module, a second determination module, and a third confirmation module, which are used to execute the steps of the pollution index confirmation method. It acquires the environmental quality factors of the environment to be measured collected by the acquisition device, determines the single-factor index according to the environmental quality factors, obtains the average value of all single-factor indexes, then judges whether there is a single-factor index that is a maximum value. If so, it determines the comprehensive weight and occurrence probability of the maximum value, determines the representative single-factor index according to the comprehensive weight and occurrence frequency, and determines the pollution index of the environment to be measured according to the representative single-factor index and the average value. It can be seen that this method determines the representative single-factor index through the average value of all single-factor indexes and the comprehensive weight and occurrence frequency of the single-factor index that is a maximum value, comprehensively considering the environmental pollution impact caused by the exceeded value, as well as the potential impact on the environmental system stability brought by the large range value due to different degrees of dispersion, and adjusts the final environmental pollution index by using the occurrence frequency of the maximum value, avoiding the situation that the pollution index calculation is too large caused by only one maximum value.

[0133] Figure 4 The structural diagram of the pollution index confirmation device provided in another embodiment of this application is as Figure 4 shown. The pollution index confirmation device includes: a memory 20 for storing computer programs;

[0134] a processor 21 for implementing the steps of the pollution index confirmation method mentioned in the above embodiment when executing the computer program.

[0135] The pollution index confirmation device provided in this embodiment may include, but is not limited to, smart phones, tablet computers, laptop computers, or desktop computers, etc.

[0136] Among them, the processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 21 may be implemented in at least one hardware form of a Digital Signal Processor (DSP), a Field-Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA). The processor 21 may also include a main processor and a coprocessor. The main processor is a processor used to process data in the wake state, also known as the Central Processing Unit (CPU); the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor 21 may be integrated with a Graphics Processing Unit (GPU), and the GPU is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 21 may also include an Artificial Intelligence (AI) processor, and the AI processor is used to process computational operations related to machine learning.

[0137] The memory 20 may include one or more computer-readable storage media, and the computer-readable storage media may be non-transitory. The memory 20 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices and flash storage devices. In this embodiment, the memory 20 is at least used to store the following computer program 201. After the computer program is loaded and executed by the processor 21, it can implement the relevant steps of the pollution index confirmation method disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 20 may also include an operating system 202 and data 203, etc., and the storage method may be temporary storage or permanent storage. Among them, the operating system 202 may include Windows, Unix, Linux, etc. The data 203 may include, but is not limited to, data of the pollution index confirmation method, etc.

[0138] In some embodiments, the pollution index confirmation device may further include a display screen 22, an input / output interface 23, a communication interface 24, a power supply 25, and a communication bus 26.

[0139] Those skilled in the art can understand that Figure 4 the structure shown in

[0140] The confirmation device for pollution index provided by the embodiment of the present application includes a memory and a processor. The memory is used to store the program of the method for confirming the pollution index, and the processor is used to execute the stored program. It obtains the environmental quality factors of the environment to be measured collected by the collection device, determines the single-factor index according to the environmental quality factors, obtains the average value of all single-factor indexes, and then determines whether there is a single-factor index that is a maximum value. If so, it determines the comprehensive weight and occurrence probability of the maximum value, determines the representative single-factor index according to the comprehensive weight and occurrence frequency, and determines the pollution index of the environment to be measured according to the representative single-factor index and the average value. It can be seen that this method determines a representative single-factor index through the average value of all single-factor indexes and the comprehensive weight and occurrence frequency of the single-factor index that is a maximum value, comprehensively considering the environmental pollution impact caused by the excessive standard value, and the potential impact on the environmental system stability brought by the large range value due to different degrees of dispersion, and adjusts the final environmental pollution index by using the occurrence frequency of the maximum value, avoiding the situation that the calculation of the pollution index is too large due to only one maximum value.

[0141] Finally, the present application also provides an embodiment corresponding to a computer-readable storage medium. A computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps recorded in the above method embodiment are implemented.

[0142] It can be understood that if the method in the above embodiment is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and executes all or part of the steps of the methods described in the various embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0143] The computer-readable storage medium provided in this embodiment stores and executes a program for the method of confirming the pollution index. The method includes obtaining the environmental quality factors of the environment to be measured collected by the collection device, determining the single-factor index according to the environmental quality factors, obtaining the average value of all single-factor indexes, and then determining whether there is a single-factor index that is a maximum value. If so, determining the comprehensive weight and occurrence probability of the maximum value, determining the representative single-factor index according to the comprehensive weight and occurrence frequency, and determining the pollution index of the environment to be measured according to the representative single-factor index and the average value. It can be seen that this method determines the representative single-factor index through the average value of all single-factor indexes and the comprehensive weight and occurrence frequency of the single-factor index that is a maximum value, comprehensively considering the environmental pollution impact caused by the exceeded values, as well as the potential impact on the environmental system stability brought by the large range values due to different degrees of dispersion, and adjusting the final environmental pollution index by using the occurrence frequency of the maximum value, avoiding the situation that the calculation of the pollution index is too large caused by only one maximum value.

[0144] The method, device, and computer-readable storage medium for confirming the pollution index provided in the present application have been introduced in detail above. The various embodiments in the specification are described in a progressive manner, and the key point of each embodiment is to illustrate the differences from other embodiments. The same or similar parts among the various embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part. It should be noted that for those of ordinary skill in the art in this technical field, without departing from the principle of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the protection scope of the claims of the present application.

[0145] It should also be noted that in this specification, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover a non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the said element.

Claims

1. A method for confirming a pollution index, characterized in that, Comprising: Obtaining the environmental quality factors of the environment to be measured collected by the acquisition device; Determining the single-factor index according to the environmental quality factors, and obtaining the average value of all the single-factor indexes; Judging whether there is a single-factor index that is a maximum value; the maximum value includes a first maximum value and a second maximum value, and if the single-factor index is at least one of the first maximum value or the second maximum value, it is determined that the single-factor index is a maximum value; If so, determining the comprehensive weight and the occurrence frequency of the maximum value; Determining the representative single-factor index according to the comprehensive weight and the occurrence frequency; Determining the pollution index of the environment to be measured according to the representative single-factor index and the average value; Wherein, determining the comprehensive weight of the maximum value includes: If the single-factor index is the first maximum value or the second maximum value, determining the maximum value weight of the first maximum value or the maximum value weight of the second maximum value as the comprehensive weight; If the single-factor index is the first maximum value and the second maximum value, determining the product of the maximum value weight of the first maximum value and the maximum value weight of the second maximum value; Taking the product as the comprehensive weight.

2. The method for confirming the pollution index according to claim 1, characterized in that, Judging whether the single-factor index is the first maximum value includes: Obtaining the difference between the single-factor index and the average value; Determining the standard deviation of all the single-factor indexes; Determining the ratio of the difference to the standard deviation, and judging whether the ratio is greater than the significance level value corresponding to the number of single-factor indexes in the test table; If so, determining that the single-factor index is the first maximum value; If not, determining that the single-factor index is not the first maximum value; Judging whether the single-factor index is the second maximum value includes: Judging whether the single-factor index is greater than a preset threshold; If so, determining the single-factor index greater than the preset threshold as the second maximum value; If not, the single-factor index is not the second maximum value.

3. The method for confirming the pollution index according to claim 1, wherein [[ID=,21]]Determining the occurrence frequency of the maximum value includes: Obtaining the number of times the maximum value appears; Obtaining the product of the number of detection days and the number of detection cross-sections; Determining the ratio of the number of times the maximum value appears to the product of the number of detection days and the number of detection cross-sections as the occurrence frequency.

4. The method for confirming the pollution index according to claim 2, characterized in that, If the single-factor index is not the maximum value, it further includes: Determining the average value as the pollution index.

5. The method for confirming the pollution index according to claim 1, wherein The determining the single-factor index according to the environmental quality factors includes: Obtaining the environmental quality standard corresponding to the environment to be measured; Determining the ratio of the environmental quality factor to the environmental quality standard; Taking the ratio as the single-factor index.

6. A confirmation device for a pollution index, characterized in that, Comprising: A first acquisition module for obtaining the environmental quality factors of the environment to be measured collected by the acquisition device; A second acquisition module for determining the single-factor index according to the environmental quality factors and obtaining the average value of all the single-factor indexes; A judgment module for judging whether there is a single-factor index that is a maximum value, and if so, triggering a first determination module; the maximum value includes a first maximum value and a second maximum value, and if the single-factor index is at least one of the first maximum value or the second maximum value, it is determined that the single-factor index is a maximum value; The first determination module is configured to determine the comprehensive weight and the occurrence frequency of the maximum value; The second determination module is configured to determine a representative single-factor index according to the comprehensive weight and the occurrence frequency; The third determination module is configured to determine the pollution index of the environment to be measured according to the representative single-factor index and the average value; Wherein, the process of the first determination module determining the comprehensive weight of the maximum value includes the following steps: If the single-factor index is the first maximum value or the second maximum value, determine the maximum value weight of the first maximum value or the maximum value weight of the second maximum value as the comprehensive weight; If the single-factor index is the first maximum value and the second maximum value, determine the product of the maximum value weight of the first maximum value and the maximum value weight of the second maximum value; Use the product as the comprehensive weight.

7. A confirmation device for a pollution index, characterized in that, It includes a memory for storing a computer program; A processor, configured to implement the steps of the pollution index confirmation method according to any one of claims 1 to 5 when executing the computer program.

8. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the pollution index confirmation method according to any one of claims 1 to 5 are implemented.

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