A method and device, medium and apparatus for measuring the contribution amount of pollution load

Abstract

The present invention discloses a method and device, medium and apparatus for calculating the measurable contribution amount of pollution load, including establishing a measured data model before transformation; establishing an expected data model after transformation; establishing the pollution load amount discharged before transformation in the region; establishing the measurable contribution amount of pollution load for drainage units of different plots in the region; preferentially selecting the best transformed drainage units by sorting according to the size of the measurable contribution amount of pollution load for drainage units of different plots in the region and establishing a unified database; according to the overall goal of improving the collection efficiency of the expected sewage system, based on the total size of the measurable contribution amount of pollution load, establishing a technical method for selecting the optimal regional plot drainage unit for implementation of transformation through discrimination and comparison; screening out the marked plot drainage units with a relatively low ranking of the measurable contribution amount of pollution load through a preset software; after the implementation of the method of the present invention, it is expected to reduce a large amount of cost investment, realize a method for improving the collection efficiency of a high-quality sewage system, and achieve the purpose of quickly restoring the water environment function of urban water bodies.

Description

Technical Field

[0001] The present invention relates to the technical field of ecological environment protection and improvement of the collection efficiency of sewage systems, and particularly to a method and device, medium, and apparatus for calculating the contribution amount of pollution load. Background Art

[0002] With the development and construction of cities, the urban population has continuously gathered, and facilities such as industrial enterprises, residential buildings, office buildings, and commercial areas have experienced explosive growth. The living conditions of the people have been greatly improved. However, the natural environment on which people once relied for survival has continuously declined. The once clear and rippling water bodies have gradually turned black and stinky, emitting unpleasant odors and losing their functions of viewing and playing in the water. Understanding the prominence of this phenomenon, it is necessary to prioritize solving this prominent ecological environment problem related to people's livelihood, set time nodes to basically eliminate urban black and smelly water bodies, and meet people's needs for a beautiful ecological environment. Improve the collection efficiency of the sewage system and the influent concentration of the sewage treatment plant from the source, realize the improvement of the collection efficiency of the sewage system, and greatly reduce the pollutants entering the water body, so as to gradually restore the original water function of the urban water body.

[0003] However, in the process of promoting the improvement of the collection efficiency of the sewage system at present, large-scale implementation has been carried out in the treatment of the urban water environment, and a large amount of funds, manpower, and materials have been invested. Although certain treatment effects have been achieved in the treatment of the urban water environment, at present, no strategy has been found and explored to implement the improvement of the collection efficiency of the sewage system more precisely, efficiently, technologically, and with high quality, and a method that can achieve less investment and a substantial improvement in the best water environment quality has not been found. Summary of the Invention

[0004] The purpose of the present invention is to overcome the above deficiencies, provide a method and device, medium, and apparatus for calculating the contribution amount of pollution load, which can accurately identify the drainage pipe networks of the plots to be renovated in the area, avoid blindly renovating all plots in the area; quickly and efficiently calculate the contribution amount of the renovation of the drainage pipe networks of the plots in the area to the improvement of the collection efficiency of the sewage system through model software, provide a scientific decision-making basis for renovating the drainage pipe networks in the renovation area; can save a large amount of manpower and material resources, and is expected to reduce a large amount of cost investment, realize a high-quality method for improving the collection efficiency of the sewage system, and achieve the purpose of quickly restoring the water environment function of the urban water body.

[0005] To solve the above technical problems, the technical solution adopted by the present invention is: a method for calculating the contribution amount of pollution load, which includes the following steps:

[0006] S1. Obtain a number of sewage discharge water quality data of the drainage units of different plots in the area;

[0007] S2. Obtain the expected sewage discharge water quality data, the number of permanent residents, and the daily average water consumption of different plots in the area after transformation;

[0008] S3. Based on the measured database before the transformation of drainage units in different plots of the area, the number of permanent residents, and the daily average water consumption, calculate to obtain the pre-transformation discharge pollution load of drainage units in different plots of the area, and establish a measured data model before the area transformation;

[0009] S4. Based on the expected database after the transformation of drainage units in different plots of the area, the number of permanent residents, and the daily per capita water consumption, calculate to obtain the post-transformation discharge pollution load of drainage units in different plots of the area, and establish an expected data model after the area transformation;

[0010] S5. Based on the measured data model before the area transformation and the expected data model after the transformation, obtain the total pre-transformation pollution load and the total expected post-transformation pollution load of the area;

[0011] S6. Obtain the target concentration of influent sewage and the data of the influent water volume of the sewage treatment plant after the improvement of the regional collection efficiency transformation, and obtain the expected target amount of the regional pollution load;

[0012] S7. Based on the total pre-transformation pollution load of the area and the expected target amount of the regional pollution load, obtain the expected additional target amount of the regional pollution load;

[0013] S8. Based on the post-transformation discharge pollution load of the area and the pre-transformation discharge pollution load of the area, obtain the pollution load contribution amount of drainage units in different plots of the area;

[0014] S9. Based on the cumulative pollution load contribution amount of drainage units in different plots of the area, obtain the total pollution load contribution amount of drainage units in the area plots;

[0015] S10. When the total pollution load contribution amount of drainage units in the area plots is less than the expected additional target amount of the regional pollution load, further adjust the expected sewage discharge water quality data of the drainage units after the transformation until the total pollution load contribution amount of drainage units in the area plots is greater than the expected additional target amount of the regional pollution load;

[0016] S11. When the total pollution load contribution amount of drainage units in the area plots is greater than the expected additional target amount of the regional pollution load, in the order of the pollution load contribution amount of drainage units in different plots of the area from small to large, use the preset software to gradually screen and eliminate the marked plot drainage units with a low pollution load contribution amount ranking from the unified database until the total pollution load contribution amount of drainage units in the area plots is slightly greater than or equal to the expected additional target amount of the regional pollution load;

[0017] Further, in S3 and S4, obtain the pre-transformation discharge pollution load of the area and set the expected discharge pollution load after transformation, and establish a pre-transformation measured data model and a post-transformation expected data model for the area, including:

[0018] Formulate a sewage quality inspection (monitoring) plan for drainage units in different plots of the area;

[0019] Obtain the sewage quality inspection (monitoring) reports of drainage units in different plots of the area;

[0020] Formulate the expected sewage discharge water quality data for drainage units after transformation in different plots of the area;

[0021] Obtain the permanent population numbers of different plots in the area;

[0022] Obtain the tap water consumption of the area and calculate the daily per capita water consumption;

[0023] Establish a pre-transformation measured data model for the drainage unit and a post-transformation expected data model through the pre-transformation measured sewage concentration, the post-transformation expected sewage concentration, the permanent population quantity, and the daily per capita water consumption of the area.

[0024] Further, in S5, obtain the pre-transformation measured data model and the post-transformation expected data model of the drainage unit, and obtain the total pre-transformation and post-transformation expected pollution loads of the area, including:

[0025] Obtain the pre-transformation measured data model {C a N a Q} of the drainage unit;

[0026] Obtain the post-transformation expected data model {C b N b Q} of the drainage unit;

[0027] Obtain the total pre-transformation pollution load M a = ;

[0028] Obtain the total post-transformation expected pollution load M b = Q;

[0029] Where M a is the total pre-transformation pollution load of drainage units in each plot of the area; C a is the pre-transformation measured data model; N a is the pre-transformation actual population data model; M b is the total post-transformation pollution load of drainage units in each plot of the area; C b is the post-transformation expected data model; N bIt is the expected population data model after transformation; Q is the actual daily per capita water consumption in the area.

[0030] Further, in S6 and S7, obtaining the expected target concentration and the sewage treatment plant influent water volume data after the regional transformation, and obtaining the expected target amount of regional pollution load and the expected additional target amount of regional pollution load, including:

[0031] Obtaining the daily average influent water volume data of the regional sewage treatment plant;

[0032] Obtaining the target concentration data of the sewage entering the plant after the improvement of the regional collection efficiency transformation;

[0033] Obtaining the expected target amount M of the regional pollution load 1 The average value C of the expected target sewage concentration for the regional transformation bk And the daily average influent water volume Q of the sewage treatment plant 总 Established by multiplying the data, that is, M 1 = C bk Q 总 ;

[0034] Obtaining the expected additional target amount △M of the regional pollution load as the target value M of the sewage collection efficiency improvement 1 And the total amount M of the current regional drainage pollution load a The difference, that is, △M = M 1 - M a ;

[0035] Where M 1 Is the expected target amount of the regional pollution load; △M is the expected additional target amount of the regional pollution load; C bk The average value of the expected target sewage concentration for the regional transformation; Q 总 Is the daily average influent water volume of the sewage treatment plant.

[0036] Further, in S8, based on the measured pollution load of the regional sewage after transformation and the pollution load before the regional transformation, obtaining the pollution load contribution amount of different plot drainage units in the region, and establishing a pollution load contribution amount model, including:

[0037] Obtaining the pollution load contribution amount M of each drainage unit in the region after transformation k ={M b - M a}={ Q - }={ (C 11 N 11 Q - C 1 N 1 Q)+(C 22 N 22 Q - C 2 N 2Q) + · · · + (C nn N nn Q - C n N n Q)};

[0038] Establish a model for sorting the pollution load contribution amounts from large to small;

[0039] Where M k is the pollution load contribution amount after the transformation of each drainage unit in the region; C 1 , C 2 , · · ·, C n is the measured data of each drainage unit in the region before the transformation; C 11 , C 22 , · · ·, C nn is the expected data of each drainage unit in the region after the transformation; N 1 , N 2 , · · ·, N n is the permanent population data of each drainage unit in the region before the transformation; N 11 , N 22 , · · ·, N nn is the permanent population data of each drainage unit in the region after the transformation.

[0040] Furthermore, in the S9, based on the pollution load contribution amounts of the drainage units in different plots of the region, calculate to obtain the total pollution load contribution amount of the drainage units in the plots of the region, including:

[0041] Obtain the pollution load contribution models M k ={M b - M a};

[0042] Obtain the total pollution load contribution amount △M of the emissions from the transformation of the drainage units in the region k = ;

[0043] Where △M k is the total pollution load contribution amount of the emissions from the transformation of the drainage units in the region.

[0044] Furthermore, in the S10, obtain the total pollution load contribution amount of the drainage units in the plots of the region and the expected additional target amount of the regional pollution load, and establish a comparison relationship between their sizes, which is completed through a preset software model, including:

[0045] Obtain the total pollution load contribution amount △M of the emissions from the transformation of the drainage units in the region k ;

[0046] Obtain the expected additional target amount △M of the regional pollution load;

[0047] The total pollution load contribution △M that can be discharged after the transformation of the drainage unit in the comparison area k and the expected additional target amount △M of the regional pollution load. If the former is larger, the expected target concentration after the regional transformation meets the reasonable setting;

[0048] The total pollution load contribution △M that can be discharged after the transformation of the drainage unit in the comparison area k and the expected additional target amount △M of the regional pollution load. If the former is smaller, the expected target concentration after the regional transformation needs to be further adjusted until the total pollution load contribution △M of the drainage unit in the regional plot k is greater than the expected additional target amount △M of the regional pollution load.

[0049] Furthermore, in S11, when the total pollution load contribution of the drainage unit in the regional plot is greater than the expected additional target amount of the regional pollution load, a sequential model of the pollution load contributions of the drainage units in different plots in the region from small to large is established, including:

[0050] Obtain the total pollution load contribution △M that can be discharged after the transformation of the regional drainage unit k ;

[0051] Obtain the expected additional target amount △M of the regional pollution load;

[0052] The total pollution load contribution △M of the drainage unit in the regional plot k is greater than the expected additional target amount △M of the regional pollution load;

[0053] Establish a sequential model for obtaining the pollution load contributions of the drainage units in different plots in the region from small to large;

[0054] The preset software gradually screens out the marked plot drainage units with relatively low pollution load contributions from the unified database until the total pollution load contribution of the regional plot drainage unit is slightly greater than or equal to the expected additional target amount of the regional pollution load.

[0055] Furthermore, based on the preset software, screen out and eliminate the marked plot drainage units with relatively low pollution load contributions to obtain a list of drainage unit catalogs that do not require later rain and sewage diversion transformation and drainage pipe network repair and improvement projects, including:

[0056] Obtain the total pollution load contribution △M of the drainage unit in the regional plot k is slightly greater than or equal to the expected additional target amount △M of the regional pollution load, that is, △M k ≈△M;

[0057] The list of marked plot drainage units with relatively low pollution load contributions that are screened out and eliminated.

[0058] In addition, the present invention also discloses a terminal electronic device, including facilities such as a database, a memory, model software, and a processor capable of running and processing data. The database is a warehouse for storing data such as the background monitoring before the transformation of the drainage unit and the setting of expected goals; the memory stores program instructions, data modules, and various data information that can be executed by the processor; when the processor executes the program instructions stored in the memory, the above-mentioned method for calculating the pollution load contribution amount is realized.

[0059] In addition, the present invention also discloses a storage medium, in which program instructions are stored, and when the program instructions are executed by a processor, the method for calculating the pollution load contribution amount described above can be realized.

[0060] In addition, the present invention also discloses an accounting device using the above-mentioned method for calculating the pollution load contribution amount, including the following functional modules:

[0061] Original database module G1: used for storing and processing the original data of sewage concentration detection (or monitoring) at the outlets of sewage pipes or combined sewer pipes of each drainage unit, the expected set pollution concentration data after the transformation of each drainage unit, and the expected new target amount data of regional pollution load;

[0062] Parameter module G2: used for collecting and storing the permanent population number N and the water sales data Q of different regional drainage units within the sewage collection range of the sewage treatment plant 总 ;

[0063] Data model module G3: used for establishing the measured data model before the transformation of the drainage unit as C a (k)N a (k)Q and the expected data model after the transformation of the drainage unit as C b (k)N b (k)Q;

[0064] Pollution load amount module G4: used for calculating the pollution load amount discharged before the transformation of the drainage unit as M a and the pollution load amount discharged after the transformation of the drainage unit as M b ;

[0065] Contribution amount and sorting module G5: based on the measured values M a 、M b , establish a model for sorting the pollution load contribution amounts from large to small;

[0066] Total contribution amount module G6: based on the data models before and after the transformation of the drainage unit, establish a model for the pollution load contribution amount discharged before the transformation of the drainage unit;

[0067] Target amount module G7: based on the target value M for improving the sewage collection efficiency 1 and the total amount M of the current regional drainage pollution load2 , establish a model for the additional target quantity △M required to predict the regional pollution load;

[0068] Optimal value model module G8: used to select the optimal value △M of the total contribution k model (i.e., △M k ≈△M), and screen out the drainage units with relatively small contribution amounts in the regional plots;

[0069] Drainage unit list module G9: used to determine the model of the drainage unit list of other marked plots to be renovated in the regional plots.

[0070] Advantages of the present invention:

[0071] 1. The method of the present invention can accurately identify the drainage pipe networks of the plots to be renovated in the region, avoiding blind and comprehensive renovation of the regional plots.

[0072] 2. The method of the present invention can quickly and efficiently calculate the contribution amount of the improvement of the sewage system collection efficiency after the renovation of the drainage pipe networks in the regional plots through the model software, providing a scientific decision-making basis for the renovation of the drainage pipe networks in the renovation area.

[0073] 3. After the implementation of the method of the present invention, it is expected to reduce a large amount of cost investment, realize a method for improving the sewage system collection efficiency with high quality, and achieve the purpose of quickly restoring the water environment function of the urban water body.

[0074] 4. The method of the present invention can accurately, quickly and efficiently screen out the drainage units of the plots with relatively small pollution load contribution amounts that do not require renovation and repair of the drainage pipe networks, saving a large amount of government funds, manpower and material resources, improving the input-output ratio, conforming to the high-quality development direction of the current urban sewage collection efficiency improvement, and having significant social, environmental and technical and economic benefits. Description of the Drawings

[0075] Figure 1 It is a schematic flow chart of a method for calculating the pollution load contribution amount;

[0076] Figure 2 It is a schematic diagram of the functional modules of a pollution load contribution amount accounting device;

[0077] Figure 3 It is a schematic structural diagram of a terminal electronic device;

[0078] Figure 4 It is a database modeling diagram of MIKE software;

[0079] Figure 5 It is a dynamic simulation analysis diagram of pollution load quantification. Detailed Embodiments

[0080] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0081] Embodiment 1:

[0082] A method for calculating the pollution load contribution amount, where the pollution load contribution amount is based on the rain and sewage diversion transformation and the renovation and improvement project of the old drainage pipe network of the regional plot drainage unit. The method for calculating the pollution load contribution amount includes:

[0083] Obtain the pre-transformation discharge pollution load amount and the set post-transformation discharge pollution load amount of the region, and generate the pre-transformation measured data model C a ={C a (k)}=(C 1 , C 2 , ···, C n ) and the post-transformation expected data model C b ={C b (k)}=(C 11 , C 22 , ···, C nn );

[0084] The pre-transformation measured data model C a is established based on several sewage discharge water quality data of different plot drainage units in the obtained region;

[0085] The post-transformation expected data model C b is established based on the expected sewage discharge water quality data C b , the permanent population number N and the daily water consumption Q of different regions of the plot after transformation;

[0086] The pre-transformation discharge pollution load amount of the region is established by multiplying the pre-transformation measured data model, the permanent population number and the daily water consumption of different plot drainage units in the region through a preset software, that is, C a N a Q;

[0087] The post-transformation discharge pollution load amount of the region is established by multiplying the post-transformation expected data model, the permanent population number and the daily water consumption of different plot drainage units in the region through a preset software, that is, C b N b Q;

[0088] Obtain the pollution load contribution amount M of different plot drainage units in the region k Based on the post-transformation discharge pollution load amount M of the region b = Q=(C 11 N 11 Q+C22 N 22 Q + · · · + C nn N nn The pre - renovation pollution load Q of the area and the pre - renovation pollution load M of the area a = =(C 1 N 1 Q + C 2 N 2 Q + · · · + C n N n Q), that is, M k ={M b - M a}.

[0089] The present invention is further optimized. By establishing a sequence identification according to the pollution load contribution amount of the drainage units of different plots in the area, a unified database of Three Gorges Cloud is established for accurately and quickly selecting the best drainage units of the area plots for renovation in the next step.

[0090] According to the overall goal of improving the expected sewage collection efficiency, based on the above - mentioned calculation method of the pollution load contribution amount, the method for further selecting the optimal area plot drainage unit for renovation includes:[[]]

[0091] Based on the influent water volume data of the sewage treatment plant in the area, the pollution load amounts of the expected influent water quality data after renovation and the influent water quality data before renovation are calculated respectively through preset software, and the total pollution loads M a and M b ;

[0092] Obtain the expected additional target amount of regional pollution load △M as the target value M of sewage collection efficiency improvement 1 and the total current regional drainage pollution load M a The difference, M 1 Based on the average sewage concentration C bk and the influent water volume Q 总 of the sewage treatment plant, it is established by multiplying the data, that is, M 1 = C bk Q 总 , △M = M 1 - M a ;

[0093] The total pollution load contribution of the regional plot drainage unit △M k is established by accumulating the pollution load contribution amounts of different plot drainage units in the area, that is, △M k = ;

[0094] When the total pollution load contribution of the regional plot drainage unit △Mk When the additional target amount ΔM of the regional pollution load is less than the expected value, further adjust the expected sewage discharge water quality data of the drainage unit after transformation until the total contribution amount ΔM of the pollution load of the regional plot drainage unit k until it is greater than the additional target amount ΔM of the regional pollution load expected.

[0095] When the total contribution amount ΔM of the pollution load of the regional plot drainage unit k is greater than the additional target amount ΔM of the regional pollution load expected, in the order of the contribution amounts of the pollution loads of the drainage units of different plots in the region from small to large, the marked plot drainage units with relatively low contribution amounts of the pollution load are gradually screened out from the unified database of the Three Gorges Cloud through the preset software until the total contribution amount ΔM of the pollution load of the regional plot drainage unit k until it is slightly greater than or equal to the additional target amount ΔM of the regional pollution load expected;

[0096] After screening and excluding the plot drainage units with relatively low contribution amounts of the pollution load M k ranked at the end by the preset software, there is no need to carry out the later rain - sewage diversion transformation and the repair and improvement project of the drainage pipeline network, saving a large amount of investment in funds, manpower and materials, thus realizing an implementation technical method with the best production - investment ratio for accurately, quickly and efficiently improving the collection efficiency of the sewage system.

[0097] Embodiment 2:

[0098] As Figure 1 shown, this embodiment provides an example of using the measurement method of the pollution load contribution amount to improve the sewage collection efficiency of a sewage treatment plant's receiving area in a certain city. In this embodiment, the pollution load contribution amount is based on the rain - sewage diversion transformation and the repair and improvement project of the old drainage pipeline network of the regional plot drainage unit. The measurement method of the pollution load contribution amount includes the following steps:

[0099] Step W1: According to the sewage receiving range of a sewage treatment plant, divide different regional drainage units, and detect (or monitor) the sewage concentration at the outlet of the sewage pipe or combined sewer of the drainage unit. The water quality detection (or monitoring) indicators include at least CODcr or BOD 5 one of them, at 3 times in the early, middle and late periods or continuously for 24 hours, and the frequency is 3 consecutive days on sunny days and 2 consecutive days on rainy days. The background concentration of each drainage unit in different regions takes the arithmetic mean. The measured sewage concentration before the transformation of the drainage unit is C a ={C a (k)}=(215, 123, ···, 95), and set the expected sewage concentration after the transformation of the drainage unit as C b ={C b(k)} = (300, 260, ···, 200). The expected additional target amount of regional pollution load ΔM is the target value M for improving the sewage collection efficiency 1 and the total current regional drainage pollution load M a The difference is ΔM = M 1 - M a . Where M 1 = C 0 Q 厂 , C 0 is the target concentration of the influent to the renovated sewage treatment plant, 260 mg / L, and Q 厂 is the influent flow rate of the renovated sewage treatment plant, 160,000 m 3 / d, that is, M 1 = 41.60 t / d.

[0100] Step W2: Investigate and collect the permanent population numbers N of different regional drainage units within the sewage collection range of the sewage treatment plant, approximately 800,000 people = {N a (k)} = (215, 123, ···, 95), and estimate the average daily water consumption Q of the urban area population as 200 L / d by collecting the water sales data of the local water supply company.

[0101] Step W3: Based on the measured sewage concentration C a = (215, 123, ···, 95) before the renovation of the drainage unit, the expected sewage concentration C b = (300, 260, ···, 200) after the renovation, the permanent population number N of approximately 800,000 people, and the average daily water consumption Q of the urban area population as 200 L / d, establish the measured data model before the renovation of the drainage unit as C a (k)N a (k)Q, and the expected data model after the renovation of the drainage unit as C b (k)N b (k)Q.

[0102] Step W4: Through the measured data models before and after the renovation of the drainage unit, calculate the discharged pollution load before the renovation of the drainage unit as M a ={C a (k)N a (k)Q} = (C 1 N 1 Q, C 2 N 2 Q, ···, C n N n Q) = 23.84 t / d, and the discharged pollution load after the renovation of the drainage unit is M b = Q = (C 11 N 11 Q + C22 N 22 Q+· · ·+C nn N nn Q) = 41.80t / d. Through the above data model and MIKE software, the pollution load after the transformation of the regional drainage unit is calculated, and a quantitative dynamic simulation analysis chart between the total pollution load and time before and after the transformation of the regional drainage unit is established, such as Figure 4 and 5 :

[0103] Step W5: Using the calculated value M a 、M b , calculate the pollution load contribution M of each drainage unit in the area after transformation k ={M b -M a}={(C 11 N 11 QC 1 N 1 Q)+(C 22 N 22 QC 2 N 2 Q)+· · · +(C nn N nn QC n N n Q)}={0.05+0.04+· ·· +0.07}, and establish a model in which the contribution of pollution load is sorted from large to small.

[0104] Step W6: Through the data model before and after the drainage unit transformation, the total amount of pollution load before the drainage unit transformation can be calculated as △M k = =17.96t / d.

[0105] Step W7: If the pollution load of the drainage unit in the regional plot can contribute to the total amount △M k When the pollution load is less than the expected additional target amount △M of the regional pollution load, return to step 1, adjust the expected sewage concentration value after the drainage unit transformation, and then recalculate the model. In this embodiment, the pollution load of the drainage unit in the regional plot can contribute to the total amount △M k =17.96t / d is greater than the expected additional target amount of regional pollution load △M=41.60-23.84=17.76t / d, so proceed to the next step.

[0106] Step W8: Select the optimal value of the total contribution (i.e. △M) through the data model k ≈△M), that is, △M k≈17.76 t / d. According to the order of the pollution load contribution amount from large to small, the drainage units with relatively small contribution amounts in the regional plots are screened out, and the cumulative contribution amount is approximately 17.96 - 17.76 = 0.20 t / d. According to the above method, 15 drainage units are screened out.

[0107]

[0108] Step W9: According to the results of the program in Step W8, for the drainage units with relatively small contribution amounts screened out, generate a list of drainage units that do not need to be renovated temporarily (see the above table), and include the other marked drainage units in the regional plots in the list of drainage units in the plots that need to be renovated.

[0109] Through the implementation of Steps W1 - W9, the drainage units of plots with relatively small pollution load contribution amounts that do not require the renovation and repair of the drainage pipe network can be accurately, quickly, and efficiently screened out, saving a large amount of government investment in funds, manpower, and material resources, improving the input-output ratio, conforming to the current high-quality development direction of enhancing the efficiency of urban sewage collection, and having significant social, environmental, and technical and economic benefits.

[0110] As Figure 2 shown, this embodiment provides an embodiment of a device for verifying the pollution load contribution amount. In this embodiment, the device for calculating the pollution load contribution amount is applied to the method for calculating the pollution load contribution amount in the above-mentioned embodiment. The calculation device includes: an original database module G1 for the background value before the renovation and the expected value after the renovation of each drainage unit, a parameter module G2 for the permanent population and daily water consumption parameters in the urban area, a data model module G3 for the measured data before the renovation and the expected data model after the renovation of each drainage unit, a pollution load amount module G4 for before and after the renovation of each drainage unit, a module G5 for the pollution load contribution amount and ranking after the renovation of each drainage unit in the regional plot, a module G6 for the total pollution load contribution amount after the renovation of each drainage unit in the regional plot, a module G7 for the expected new target amount of the regional pollution load, a module G8 for selecting the best value model of the total contribution amount, and a module G9 for determining the list of drainage units in the plots that need to be renovated.

[0111] Original database module G1: Used to store and process the original data of the sewage concentration detection (or monitoring) at the outlet of the sewage pipe or combined sewer of each drainage unit, the expected set pollution concentration data after the renovation of each drainage unit, and the data of the expected new target amount of the regional pollution load.

[0112] Parameter module G2: Used to collect and store the permanent population number N of the drainage units in different regions within the sewage collection range of the sewage treatment plant and the water sales data Q of the water supply company 总 ;

[0113] Data model module G3: Used to establish the measured data model before the renovation of the drainage unit as Ca (k)N a (k)Q and the expected data model after the transformation of the drainage unit is C b (k)N b (k)Q;

[0114] Pollution load module G4: used to measure the pollution load discharged before the transformation of the drainage unit as M a and the pollution load discharged after the transformation of the drainage unit as M b ;

[0115] Contributable quantity and ranking module G5: based on the measured values M a 、M b , establish a model for ranking the pollution load contributable quantities from large to small;

[0116] Total contributable quantity module G6: based on the data models before and after the transformation of the drainage unit, establish a model for the contributable quantity of the pollution load discharged before the transformation of the drainage unit;

[0117] Target quantity module G7: based on the target value M for improving the sewage collection efficiency 1 and the total pollution load of the current regional drainage M 2 , establish a model for the expected additional target quantity △M of the regional pollution load;

[0118] Optimal value model module G8: used to select the optimal value △M of the total contributable quantity k model (i.e., △M k ≈△M), and screen out the drainage units with relatively small contributable quantities in the regional plots;

[0119] Drainage unit list module G9: used to determine the model of the drainage unit list of other marked plots that need to be transformed in the regional plots.

[0120] The device for precisely improving the collection efficiency based on the pollution load contributable quantity provided by the embodiments of the present invention can implement all the processes of the above embodiments. The functions of each module in the device and the achieved technical effects correspond to the functions and achieved technical effects of the pollution load contributable quantity method in the above embodiments respectively, and will not be elaborated here.

[0121] Such as Figure 3 is a terminal electronic device corresponding to the embodiment of the present invention for precisely calculating the model. The terminal electronic device includes: computer devices composed of facilities such as a database, a memory, model software, and a processor capable of running and processing data. When the processor executes the computer module, it implements the steps in the embodiment of the above pollution load contributable quantity method. Or, when the processor executes the computer module, it implements the functions of each module in the embodiment of the device for precisely improving the collection efficiency based on the pollution load contributable quantity.

[0122] The terminal electronic device can be various computing devices such as a desktop computer, notebook, palmtop computer, tablet computer, supercomputer, network computer, biological computer, photonic computer, quantum computer, and cloud server. The terminal electronic device may include, but is not limited to, devices such as a database, a memory, model software, a processor, etc. Those skilled in the art can understand that the schematic diagram is only an example of the terminal device, and does not constitute a limitation on the terminal device. It may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, the terminal electronic device may also include a cache memory, input / output devices, network access devices, a control bus, ports, etc.

[0123] The database is a repository for storing data such as the background monitoring before the transformation of the drainage unit and the setting of expected goals. It is an organized, shared, and uniformly managed data set that is stored in a computer for a long time.

[0124] The memory is a collection of many storage units arranged in order of unit number. It is a memory component used to store programs, or modules and various data information. It can be divided into two categories: main memory (internal memory) and auxiliary memory (external memory). The one that directly exchanges information is the main memory. The internal memory is frequently used by the computer during program execution and is directly accessible during an instruction cycle. The external memory requires the computer to read information from an external storage device such as a magnetic tape or a disk. The central processing unit realizes various functions of the terminal device by running or executing computer programs, or modules stored in the memory, and by calling data stored in the memory. The internal storage is directly connected to the CPU and is composed of electronic components with relatively fast access speeds, but the storage capacity is small. The memory is generally divided into random access memory (RAM), read-only memory (ROM), and flash memory (Flash Memory). Commonly used memory includes memory sticks. The external storage is an extension of the internal storage. It usually has a large storage capacity and a low price, but a slow storage speed. It is generally used to store a large number of programs that are not used temporarily. It can only exchange information with the memory and cannot be directly accessed by other components of the computer system. Commonly used external storage includes disks, magnetic tapes, optical discs, hard disks, etc.

[0125] The model software is software for dynamic analysis of modeling such as simulating water volume, water quality, and pollutant diffusion, including self-programming software, SWMM, MIKE and other dynamic model quantification software. The model software is respectively applied to the data model module, the pollution load module, the contribution amount and ranking module, the total contribution amount module, the target amount module, the optimal value model module, and the drainage unit list module to achieve different functional requirements. SWMM is a dynamic precipitation-runoff simulation model, mainly used for simulating a single precipitation event in a city or long-term water volume and water quality simulation. This hydraulic model is used to simulate the flow of runoff and external water in pipelines, channels, storage and treatment units, etc. in the drainage pipeline, and the water quality model is used to simulate the water pollution load generated during the process of runoff generation and concentration. The MIKE model simulates the transport process of dissolved substances in water due to convection and diffusion, constructs a hydrodynamic and water quality quantification simulation analysis of the urban sewage collection system, and quantitatively evaluates the reachability of the total target of the pollution load contribution amount.

[0126] As the operation and control core of the terminal electronic device system, the processor is the final execution unit for information processing and program operation. Its main function is to interpret computer instructions and process data in computer software. The processor can be a central processing unit (CPU), which mainly includes two parts, namely a controller and an arithmetic unit. Its main functions are to process instructions, execute operations, control time, and process data. In the architecture of the terminal electronic device, the CPU is the core hardware unit that controls and allocates all hardware resources (such as memory, input and output units) of the computer and executes general operations. The CPU is the operation and control core of the computer. All operations at the software layer in the computer system will ultimately be mapped to the operations of the CPU through the instruction set.

[0127] It should be noted that the device embodiments described above are only illustrative. The implementation steps W1~W9 therein cannot be separated independently, and the order is irreversible; the functional modules G1~G9 need to be all applied to achieve the purpose of the solution of this embodiment.

[0128] The embodiment of the present invention also provides a computer-readable storage medium, which includes a stored computer program. When the computer program runs, it controls the device where the computer-readable storage medium is located to execute the method for improving the precise collection efficiency of the pollution load contribution amount as described in the above embodiment.

[0129] In summary, a method, device, equipment and medium for improving the precision collection efficiency based on the pollution load contribution amount disclosed in the embodiments of the present invention. By obtaining several sewage discharge water quality data of the drainage units of regional plots to establish a measured data model before transformation; based on obtaining the expected sewage discharge water quality data, the number of permanent residents and the daily average water consumption of the drainage units after the transformation of different regional plots to establish an expected data model after transformation; through a preset software, multiply the measured data model, the number of permanent residents and the daily average water consumption of the drainage units before the transformation of different plots in the region respectively to establish the pollution load discharge amount before the transformation of the region; based on the difference between the pollution load discharge amount after the transformation of the region and the pollution load discharge amount before the transformation of the region, establish the pollution load contribution amount of the drainage units of different plots in the region; by establishing a sequence identification according to the size of the pollution load contribution amount of the drainage units of different plots in the region, establish a unified Three Gorges Cloud database for accurately and quickly selecting the best regional plot drainage unit for transformation in the next step; according to the overall goal of improving the expected sewage collection efficiency, based on the size of the pollution load contribution amount, select the optimal regional plot drainage unit transformation method; through the preset software, screen out the plot drainage units with a low pollution load contribution amount ranking and marked, thus realizing a technical method for implementing the best production ratio for improving the sewage system collection efficiency accurately, quickly and efficiently.

[0130] The above embodiments are only the preferred technical solutions of the present invention and should not be regarded as limitations to the present invention. The protection scope of the present invention should be the technical solutions recorded in the claims, including the equivalent replacement solutions of the technical features in the technical solutions recorded in the claims. That is, the equivalent replacement improvements within this scope are also within the protection scope of the present invention.

Claims

1. A method for calculating the contribution of pollution load, characterized in that: It includes the following steps: S1. Obtaining water quality data of several sewage discharge units in different plots in the region; S2. Obtain the expected sewage discharge water quality data, permanent population and daily average water consumption of drainage units after transformation in different plots in the region; S3. Based on the measured database of drainage units in different plots in the region before renovation, the number of permanent residents and the average daily water consumption, the pollution load of drainage units in different plots in the region before renovation is obtained, and a measured data model before regional renovation is established; S4. Based on the expected database of drainage units in different plots in the region after transformation, the number of permanent residents and the daily per capita water consumption, the pollution load discharged after the transformation of drainage units in different plots in the region is obtained, and an expected data model for the region after transformation is established; S5. Based on the measured data model before the regional transformation and the expected data model after the transformation, the total pollution load before the regional transformation and the expected total pollution load after the transformation are obtained; S6. Obtain the target concentration of sewage entering the plant and the water volume of the sewage plant after the regional collection efficiency improvement and transformation, and obtain the expected target amount of regional pollution load; S7. Based on the total amount of pollution load before the regional transformation and the expected target amount of regional pollution load, obtain the expected additional target amount of regional pollution load; S8. Based on the pollution load of the region after the transformation and the pollution load of the region before the transformation, the pollution load contribution of drainage units of different plots in the region is obtained; S9, based on the accumulation of pollution load contributions of drainage units of different plots in the region, the total pollution load contribution of drainage units of the regional plots is obtained; S10. When the total amount of pollution load contribution of the drainage unit of the regional plot is less than the expected additional target amount of the regional pollution load, further adjust the expected sewage discharge water quality data of the drainage unit after the transformation until the total amount of pollution load contribution of the drainage unit of the regional plot is greater than the expected additional target amount of the regional pollution load; S11. When the total amount of pollution load contribution of drainage units of regional plots is greater than the expected target amount of regional pollution load, the drainage units of plots with the lowest ranking of pollution load contribution are screened and eliminated from the unified database by preset software in the order of the pollution load contribution of drainage units of different plots in the region from small to large, until the total amount of pollution load contribution of drainage units of regional plots is slightly greater than or equal to the expected target amount of regional pollution load; In S6 and S7, the expected target concentration after regional transformation and the sewage plant inflow water volume data are obtained to obtain the expected target amount of regional pollution load and the expected additional target amount of regional pollution load, including: Obtain the average daily water volume data of regional sewage treatment plants; Obtain the target concentration data of sewage entering the plant after the regional collection efficiency improvement and transformation; The expected target amount of regional pollution load M1 is the expected target sewage concentration mean value C of regional transformation bk and the average daily water volume of sewage treatment plant Q 总 The data is multiplied together, that is, M1=C bk Q 总 ; The expected additional target amount required to obtain the regional pollution load is △M, which is the target value for improving the sewage collection efficiency M1 and the total amount of current regional drainage pollution load M. a The difference, that is, △M=M1-M a ; Where M1 is the expected target amount of regional pollution load; △M is the expected additional target amount of regional pollution load; C bk The average value of the expected target sewage concentration for regional transformation; Q 总 is the average daily water volume of the sewage treatment plant; In S8, based on the pollution load of the region after the transformation and the pollution load of the region before the transformation, the pollution load contribution of the drainage units of different plots in the region is obtained, and a pollution load contribution model is established, including: Obtain the pollution load contribution M of each drainage unit in the area after transformation k ={M b -M a }={ Q - }={ (C 11 N 11 Q-C1N1Q)+(C 22 N 22 Q-C2N2Q)+· · ·+(C nn N nn QC n N n Q)}; Establish a model to sort the contribution of pollution load from large to small; Among them, M k is the contribution of pollution load to each drainage unit in the region after transformation; C1, C2, · · ·, C n C is the measured data of each drainage unit in the area before renovation; 11 , C 22 , · · ·, C nn are the expected data of each drainage unit in the region after transformation; N1, N2, ·· ·, N n N is the permanent population data of each drainage unit in the region before transformation; 11 , N 22 ,· · ·,N nn M is the permanent population data of each drainage unit in the region after transformation; a is the total pollution load of drainage units in each block in the region before transformation; C a is the measured data model before transformation; N a is the actual population data model before transformation; M b is the total amount of pollution load after the drainage units of each block in the region are transformed; C b is the expected data model after transformation; N b is the expected population data model after the transformation; Q is the actual daily per capita water consumption in the area.

2. The method for calculating the contribution of pollution load according to claim 1, characterized in that: In S3 and S4, obtaining the emission pollution load of the region before the transformation and setting the expected emission pollution load after the transformation, and establishing the measured data model before the regional transformation and the expected data model after the transformation include: Prepare sewage quality testing plans for drainage units in different plots in the region; Obtain sewage water quality test reports for drainage units in different plots in the area; Develop the expected sewage discharge water quality data for the drainage units after the transformation of different plots in the region; Obtain the number of permanent residents in different plots of the area; Obtain the tap water consumption in the area and calculate the daily per capita water consumption; Based on the measured sewage concentration before the drainage unit renovation, the expected sewage concentration after the renovation, the number of permanent residents, and the daily per capita water consumption in the area, a measured data model before the drainage unit renovation and an expected data model after the drainage unit renovation were established.

3. The method for calculating the pollution load contribution according to claim 1, characterized in that: In S5, the measured data model before the drainage unit transformation and the expected data model after the transformation are obtained to obtain the total amount of expected pollution load before and after the regional transformation, including: Obtain the measured data model before the drainage unit transformation {C a N a Q}; Obtain the expected data model after drainage unit transformation b N b Q}; Obtain the total pollution load M before the drainage unit transformation of the regional plot a = ; Obtain the total expected pollution load M after the drainage unit transformation of the regional plot b = Q; Among them, M a is the total pollution load of drainage units in each block in the region before transformation; C a is the measured data model before transformation; N a is the actual population data model before transformation; M b is the total amount of pollution load after the drainage units of each block in the region are transformed; C b is the expected data model after transformation; N b is the expected population data model after the transformation; Q is the actual daily per capita water consumption in the area.

4. The method for calculating the pollution load contribution according to claim 1, characterized in that: In S9, the contribution of the pollution load of drainage units of different plots in the region is calculated to obtain the total contribution of the pollution load of drainage units of the plots in the region, including: Obtain the pollution load contribution model M before and after the transformation of the regional drainage unit k ={M b -M a }; Obtain the total amount of pollution load that can be contributed by the transformation of regional drainage units △M k = ; Where △M k The total amount of pollution load discharged can be contributed by transforming regional drainage units.

5. The method for calculating the pollution load contribution according to claim 1, characterized in that: In the above S10, the total amount of pollution load that can be contributed by drainage units in the regional land parcels and the target amount of pollution load that is expected to be added in the regional land parcels are obtained, and a comparison relationship between them is established, which is completed through a preset software model, including: Obtain the total amount of pollution load that can be contributed by the transformation of regional drainage units △M k ; Obtain the expected additional target amount △M of regional pollution load; Comparison of regional drainage unit transformation discharge pollution load can contribute to the total amount of △M k and the size of the target amount △M required for the expected regional pollution load. If the former is large, the expected target concentration after regional transformation meets the reasonable setting. Comparison of regional drainage unit transformation discharge pollution load can contribute to the total amount of △M k and the expected additional target volume △M of regional pollution load. If the former is smaller, the expected target concentration after regional transformation needs to be further adjusted until the pollution load of the drainage unit of the regional plot can contribute to the total volume △M k Until the pollution load in the region is greater than the expected target amount △M.

6. The method for calculating the pollution load contribution according to claim 1, characterized in that: In S11, when the total amount of pollution load contribution of drainage units of regional plots is greater than the expected additional target amount of regional pollution load, a sequential model of the pollution load contribution of drainage units of different plots in the region is established from small to large, including: Obtain the total amount of pollution load that can be contributed by the transformation of regional drainage units △M k ; Obtain the expected additional target amount △M of regional pollution load; The pollution load of drainage units in the area can contribute a total of △M k If it is greater than the expected regional pollution load, the target amount △M needs to be increased; Establish a sequential model to obtain the contribution of pollution load of drainage units in different plots in the region from small to large; The preset software gradually selects the marked plot drainage units with lower ranking of pollution load contribution from the unified database, until the total pollution load contribution of the regional plot drainage units is slightly greater than or equal to the expected additional target amount of regional pollution load.

7. The method for calculating the contribution of pollution load according to claim 6, characterized in that: Based on the preset software, the drainage units of the plots with the lowest ranking of pollution load contribution and marked are screened and eliminated, and a list of drainage units that do not need to undergo subsequent rainwater and sewage diversion transformation and drainage network repair and improvement projects is obtained, including: Get the total amount of pollution load that can be contributed by drainage units in the area △M k Slightly greater than or equal to the expected additional target amount of regional pollution load, △M, that is, △M k ≈△M; The screening and elimination of the list of drainage units of plots whose contribution to pollution load is ranked low and marked.

8. A terminal electronic device, characterized in that: The invention comprises a database, a memory, a model software and a processor facility capable of running and processing data, wherein the database is a warehouse for storing background monitoring data and expected target setting data before the drainage unit is renovated; the memory stores program instructions, data modules and various data information executable by the processor; and when the processor executes the program instructions stored in the memory, the method for calculating the contributive amount of the pollution load as claimed in any one of claims 1 to 7 is implemented.

9. A storage medium, characterized in that: The storage medium stores program instructions, which, when executed by a processor, can implement the method for calculating the pollution load contribution as claimed in any one of claims 1 to 7.

10. A calculation device using the method for calculating the pollution load contribution amount according to any one of claims 1 to 7, characterized in that: Includes the following functional modules: Original database module G1: used to store and process the original data of sewage concentration detection at the outlet of sewage pipes or combined pipes of each drainage unit, the expected set pollution concentration data of each drainage unit after transformation, and the expected additional target amount data of regional pollution load; Parameter module G2: used to collect and store the permanent population N of drainage units in different areas within the sewage treatment plant’s sewage collection area and the water sales data Q of the water company 总 ; Data model module G3: used to establish the measured data model of the drainage unit before transformation as C a (k)N a (k) Q and the expected data model after drainage unit transformation is C b (k)N b (k) Q; Pollution load module G4: used to calculate the pollution load before the drainage unit transformation, M a The pollution load after the drainage unit transformation is M b ; Contribution and ranking module G5: Based on the calculated value M a 、M b , establish a model that sorts the contribution of pollution load from large to small; Total Contribution Module G6: Based on the data model before and after the drainage unit transformation, the model of the contribution of the pollution load discharged before the drainage unit transformation is established; Target quantity module G7: Based on the sewage collection efficiency improvement target value M1 and the current regional drainage pollution load total M2, a model of the expected additional target quantity △M for regional pollution load is established; Optimal value model module G8: used to select the optimal value of the total contribution △M k Model, namely △M k ≈△M, to screen out drainage units with smaller contribution in regional plots; Drainage unit list module G9: used to determine the drainage unit list model of other identified plots in the area that need to be modified.

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