Resource utilization analysis method and system for water environment sludge and medium

Abstract

According to the resource utilization analysis method and system for the water environment sludge and the medium, the dredging scale and the sludge components are analyzed, the three objective functions of the cost effectiveness, the environmental influence and the construction time are combined, the multi-objective analysis decision model is constructed, and a scientific and quantitative scheme selection basis is provided for resource utilization of the sludge; aiming at a water environment project, such as a landscape greening part needs to use a large amount of landscape greening soil, ecological water permeable bricks and roadbed materials, acquisition of a large amount of project funds through an outsourcing mode can spend a large amount of project funds, and outward transportation of sludge can also generate expenses, the method can be adopted to realize on-site consumption of the sludge, the outsourcing material cost and outward transportation disposal cost are reduced, and the cost of the outsourcing material and the outward transportation disposal cost is reduced. The efficient recycling of wastes is realized; through normalization processing and weight distribution, economy, environmental protection and timeliness of different recycling schemes are comprehensively evaluated, rapid and reasonable decision support is provided for sludge disposal, and water environment treatment efficiency is improved.

Description

Technical Field

[0001] This invention belongs to the field of water conservancy engineering technology and relates to the analysis method, system and medium for the resource utilization of silt. Background Technology

[0002] Unconsolidated, soft, fine-grained or extremely fine-grained soil containing organic matter deposited at the bottom of rivers, lakes, and ponds is collectively referred to as silt. Silt accumulation in river channels has a certain impact on various functions such as flood control, drainage, irrigation, water supply, and navigation, as well as on the river's water body and ecological environment. Large amounts of waste silt are often generated in river water environment remediation and navigation channel dredging projects.

[0003] Currently, the treatment method for waste sludge depends first on whether it is contaminated. In-situ solidification technology can be used for on-site treatment, or the sludge can be excavated and transported to a specialized site for further processing. If contamination is possible, resource utilization and disposal can then be pursued. Because waste sludge has a chemical composition similar to clay, is rich in organic matter, and is abundant and widely available, it has good resource utilization value. The ideal approach is resource-based disposal. However, due to the large volume, complex pollutant composition, and high water content of waste sludge, treatment is difficult. Furthermore, limited by economic and geographical factors, although many resource utilization technologies exist, none can specifically target the resource utilization of waste sludge. Summary of the Invention

[0004] To address the problems mentioned in the background art, such as the large volume of waste sludge, complex pollutant composition, high water content leading to treatment difficulties, and the inability to specifically utilize it for resource purposes due to economic and geographical limitations, this invention provides a method, system, and medium for the resource utilization analysis of aquatic environment sludge.

[0005] The method of the present invention includes:

[0006] Based on geological exploration of the water environment and analysis of silt composition, the scale of dredging and silt characteristics were determined, and the basic influencing factors restricting the resource utilization of silt were analyzed and obtained. The basic influencing factors include: dredging scale, water content, salinity, pH, silt organic matter content, biological indicators, and heavy metal content.

[0007] Based on the basic influencing factors and the carrying capacity of the water environment, the cost and economic benefits of each resource utilization scheme are calculated, and a cost-effectiveness objective function is established.

[0008] The changes in wastewater discharge, noise pollution, and air quality after the implementation of various resource utilization schemes are simulated, the adverse effects of each resource utilization scheme are quantitatively compared, and an environmental impact objective function is established.

[0009] Calculate the preparation, equipment installation and commissioning, and operation time for each resource utilization scheme, and establish a construction time objective function;

[0010] The cost-effectiveness objective function, environmental impact objective function, and construction time objective function are normalized, and the weight coefficients of each objective function are determined. A multi-objective analysis and decision model is constructed, with the objectives of minimizing cost-effectiveness, minimizing environmental impact, and minimizing construction time. The optimal solution of the multi-objective analysis and decision model is obtained, and the optimal resource utilization scheme of aquatic sludge is obtained.

[0011] Furthermore, the cost-effectiveness objective function is expressed as:

[0012]

[0013] In the formula, C represents cost and expenses, and B represents economic benefits;

[0014] The cost is calculated based on seven basic influencing factors: dredging volume Q, sludge moisture content s, salinity y, pH p, sludge organic matter content c, biological indicators s, and heavy metal content j. These seven basic influencing factors are represented as X = f(Q, s, y, p, c, s, j). A cost objective function C is established.

[0015] C = g1(X) + g2(X) + g3(X),

[0016] In the formula, g1(X) represents the site cost, including site leveling and site construction structures, specifically site leveling, sludge storage tanks, pre-sedimentation tanks, and coagulation sedimentation tanks; g2(X) represents the equipment cost and reagent cost, including screening machines, agitators, sludge thickening tanks, filter presses, booster pumps, and pipeline valves and accessories, and reagent cost includes coagulants and material mixing materials; g3(X) represents the construction and operation cost, which is all expenses incurred in the process of sludge resource utilization, including the cost of turnover materials, rental fees, labor costs, and all expenses incurred in construction organization and management.

[0017] Based on the calculated economic benefits generated by resource recovery, an economic benefit objective function is established:

[0018] B = Q * P,

[0019] In the formula, B represents economic benefits, Q represents dredging volume, and P represents the unit revenue from sludge resource utilization.

[0020] Furthermore, the method for establishing the objective function of environmental impact includes:

[0021] An environmental impact assessment model for the resource utilization site was established to simulate and calculate the impact of wastewater discharge, equipment noise, and gas odor generated during the implementation period of each resource utilization scheme. The changes in surrounding water quality (Δv), noise (Δa), and air odor H2S concentration (Δl) after the implementation of each resource utilization scheme were statistically analyzed.

[0022] Since the dimensions and orders of magnitude of each change are different, the variables are first normalized, and then the normalized values ​​are directly added together to obtain the overall quantitative index of the impact of each scheme. The environmental impact objective function is expressed as follows:

[0023] F=△v'+△a'+△l',

[0024] Where △v' represents the normalized change in surrounding water quality; △a' represents the normalized change in noise; and △l' represents the normalized change in air odor H2S concentration.

[0025] Furthermore, the objective function for construction time is expressed as:

[0026] T = T1 + T2 + T3,

[0027] In the formula, T1 is the site setup time, T2 is the equipment installation and commissioning time, and T3 is the equipment resource utilization operation time;

[0028] The construction time is not only related to the amount of silt Q, but also to the characteristics of the silt: water content s, salinity y, pH p, organic matter content c, biological indicators s, and heavy metal content j. That is, it is related to the variable X = f(Q, s, y, p, c, s, j) of the seven basic influencing factors. The site setup time T1, equipment installation and commissioning time T2, and equipment resource utilization operation time T3 are respectively expressed as:

[0029] T1 = f1(X),

[0030] T2 = f2(X),

[0031] T3 = f3(X).

[0032] Furthermore, the multi-objective analysis and decision model is expressed as:

[0033] Min U(x)=ω1R'+ω2F'+ω3T',

[0034] X=[Q,s,y,p,c,s,j],

[0035] ∑ω i =1, i=1,2,3,

[0036] In the formula, R' is the normalized cost-effectiveness objective function, F' is the normalized environmental impact objective function, and T' is the normalized construction time objective function; ω1, ω2, and ω3 are the weight coefficients of each objective function, respectively.

[0037] Substitute the variables of the seven basic influencing factors into the cost-effectiveness objective function, the environmental impact objective function, and the construction time objective function, and perform normalization to solve the multi-objective analysis and decision model U(x). The scheme with the smallest U(x) value is the optimal scheme under the multi-objective analysis and decision model, that is, the optimal resource utilization scheme of water environment sludge with the smallest cost-effectiveness, the least environmental impact, and the shortest construction time.

[0038] Based on the above method, this invention proposes a resource utilization analysis system for aquatic environment sludge, including a basic influencing factor analysis module, a cost-effectiveness objective function establishment module, an environmental impact objective function establishment module, a construction time objective function establishment module, and a multi-objective analysis decision model establishment and solution module.

[0039] The basic influencing factor analysis module is used to determine the scale of dredging and the characteristics of silt based on geological exploration of the water environment and component detection of silt, and to analyze and obtain the basic influencing factors that restrict the resource utilization of silt. The basic influencing factors include: dredging scale, water content, salinity, pH, organic matter content of silt, biological indicators, and heavy metal content.

[0040] The cost-effectiveness objective function establishment module is used to calculate the cost and economic benefits of each resource utilization scheme based on the basic influencing factors and the carrying capacity of the water environment, and to establish the cost-effectiveness objective function.

[0041] The environmental impact objective function establishment module is used to simulate the changes in wastewater discharge, noise pollution, and air quality after the implementation of various resource utilization schemes, quantify and compare the adverse effects of each resource utilization scheme, and establish the environmental impact objective function.

[0042] The construction time objective function establishment module is used to calculate the time for preliminary preparation, equipment installation and commissioning, and operation of each resource utilization scheme, and to establish the construction time objective function.

[0043] The module for establishing and solving the multi-objective analysis and decision-making model is used to normalize the cost-effectiveness objective function, the environmental impact objective function, and the construction time objective function, and determine the weight coefficients of each objective function. The multi-objective analysis and decision-making model is constructed with the objectives of minimizing cost-effectiveness, minimizing environmental impact, and minimizing construction time. The optimal solution of the multi-objective analysis and decision-making model is then obtained to obtain the optimal resource utilization scheme for sludge in the water environment.

[0044] The present invention also proposes a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the resource utilization analysis method for aquatic sludge as described above.

[0045] Compared with the prior art, the present invention has the following advantages:

[0046] (1) Multi-dimensional analysis and decision-making: By analyzing the scale of dredging and the composition of sludge, and combining the three objective functions of cost-effectiveness, environmental impact and construction time, a multi-objective analysis and decision-making model is constructed to provide a scientific and quantitative basis for the selection of sludge resource utilization schemes;

[0047] (2) On-site resource utilization: For water environment projects, such as landscape greening, a large amount of landscape greening soil, ecological permeable bricks and roadbed materials are needed. Purchasing them from outside will cost a lot of project funds, and the transportation of silt will also incur costs. By adopting this invention, silt can be disposed of on-site, reducing the cost of purchasing materials and transportation and disposal costs, and realizing the efficient reuse of waste.

[0048] (3) Optimize project implementation: Through normalization and weight allocation, comprehensively evaluate the economy, environmental protection and timeliness of different resource utilization schemes, provide rapid and reasonable decision support for sludge disposal, and improve the efficiency of water environment governance.

[0049] In summary, this invention can quickly and effectively determine the optimal resource utilization scheme for silt in aquatic environments, and provides scientific guidance for the decision-making, design, and implementation of silt resource utilization schemes in aquatic projects. Attached Figure Description

[0050] Figure 1 This is a flowchart of the method of the present invention.

[0051] Figure 2 A diagram of a multi-objective decision-making model for the resource utilization of silt in the water environment.

[0052] Figure 3 This is a system architecture diagram of the present invention. Detailed Implementation

[0053] To make the technical problems, technical solutions, and beneficial effects to be solved by this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and are not intended to limit the scope of this application.

[0054] Example 1

[0055] A method for resource utilization analysis of sludge in aquatic environments, the flowchart of which is shown below. Figure 1As shown, the specific steps are as follows.

[0056] Based on geological exploration of the water environment and analysis of silt composition, the scale of dredging and silt characteristics were determined, and the basic influencing factors restricting the resource utilization of silt were analyzed and obtained. The basic influencing factors include: dredging scale, water content, salinity, pH, silt organic matter content, biological indicators, and heavy metal content.

[0057] Based on the basic influencing factors and the carrying capacity of the water environment, the cost and economic benefits of each resource utilization scheme are calculated, and a cost-effectiveness objective function is established.

[0058] Specifically, the cost-effectiveness objective function is expressed as:

[0059]

[0060] In the formula, C represents cost and expenses, and B represents economic benefits;

[0061] The cost is calculated based on seven basic influencing factors: dredging volume Q, sludge moisture content s, salinity y, pH p, sludge organic matter content c, biological indicators s, and heavy metal content j. These seven basic influencing factors are represented as X = f(Q, s, y, p, c, s, j). A cost objective function C is established.

[0062] C = g1(X) + g2(X) + g3(X),

[0063] In the formula, g1(X) represents the site cost, including site leveling and site construction structures, specifically site leveling, sludge storage tanks, pre-sedimentation tanks, and coagulation sedimentation tanks; g2(X) represents the equipment cost and reagent cost, including screening machines, agitators, sludge thickening tanks, filter presses, booster pumps, and pipeline valves and accessories, and reagent cost includes coagulants and material mixing materials; g3(X) represents the construction and operation cost, which is all expenses incurred in the process of sludge resource utilization, including the cost of turnover materials, rental fees, labor costs, and all expenses incurred in construction organization and management.

[0064] Based on the calculated economic benefits generated by resource recovery, an economic benefit objective function is established:

[0065] B = Q * P,

[0066] In the formula, B represents economic benefits, Q represents dredging volume, and P represents the unit revenue from sludge resource utilization.

[0067] The changes in wastewater discharge, noise pollution, and air quality after the implementation of various resource utilization schemes are simulated, the adverse effects of each resource utilization scheme are quantitatively compared, and an environmental impact objective function is established.

[0068] Specifically, the methods for establishing the objective function of environmental impact include:

[0069] An environmental impact assessment model for the resource utilization site was established to simulate and calculate the impact of wastewater discharge, equipment noise, and gas odor generated during the implementation period of each resource utilization scheme. The changes in surrounding water quality (Δv), noise (Δa), and air odor H2S concentration (Δl) after the implementation of each resource utilization scheme were statistically analyzed.

[0070] Since the dimensions and orders of magnitude of each change are different, the variables are first normalized, and then the normalized values ​​are directly added together to obtain the overall quantitative index of the impact of each scheme. The environmental impact objective function is expressed as follows:

[0071] F=△v'+△a'+△l',

[0072] Where △v' represents the normalized change in surrounding water quality; △a' represents the normalized change in noise; and △l' represents the normalized change in air odor H2S concentration.

[0073] Calculate the preparation, equipment installation, commissioning, and operation time for each resource utilization scheme, and establish a construction time objective function.

[0074] Specifically, the objective function for construction time is expressed as:

[0075] T = T1 + T2 + T3,

[0076] In the formula, T1 is the site setup time, T2 is the equipment installation and commissioning time, and T3 is the equipment resource utilization operation time;

[0077] The construction time is not only related to the amount of silt Q, but also to the characteristics of the silt: water content s, salinity y, pH p, organic matter content c, biological indicators s, and heavy metal content j. That is, it is related to the variable X = f(Q, s, y, p, c, s, j) of the seven basic influencing factors. The site setup time T1, equipment installation and commissioning time T2, and equipment resource utilization operation time T3 are respectively expressed as:

[0078] T1 = f1(X),

[0079] T2 = f2(X),

[0080] T3 = f3(X).

[0081] The cost-effectiveness objective function, environmental impact objective function, and construction time objective function are normalized, and the weight coefficients of each objective function are determined. A multi-objective analysis and decision model is constructed, with the objectives of minimizing cost-effectiveness, minimizing environmental impact, and minimizing construction time. The optimal solution of the multi-objective analysis and decision model is obtained, and the optimal resource utilization scheme of aquatic sludge is obtained.

[0082] Specifically, the multi-objective analysis and decision-making model is expressed as:

[0083] minU(x)=ω1R′+ω2F′+ω3T′,

[0084] X=[Q,s,y,p,c,s,j],

[0085] ∑ω i =1, i=1,2,3,

[0086] In the formula, R' is the normalized cost-effectiveness objective function, F' is the normalized environmental impact objective function, and T' is the normalized construction time objective function; ω1, ω2, and ω3 are the weight coefficients of each objective function, respectively.

[0087] Substitute the variables of the seven basic influencing factors into the cost-effectiveness objective function, the environmental impact objective function, and the construction time objective function, and perform normalization to solve the multi-objective analysis and decision model U(x). The scheme with the smallest U(x) value is the optimal scheme under the multi-objective analysis and decision model, that is, the optimal resource utilization scheme of water environment sludge with the smallest cost-effectiveness, the least environmental impact, and the shortest construction time.

[0088] Example 2

[0089] A method for resource utilization analysis of silt in aquatic environments, with the following architecture diagram: Figure 3 As shown, it consists of a basic impact factor analysis module, a cost-effectiveness objective function establishment module, an environmental impact objective function establishment module, a construction time objective function establishment module, and a multi-objective analysis decision model establishment and solution module.

[0090] The basic influencing factor analysis module is used to determine the scale of dredging and the characteristics of silt based on geological exploration of the water environment and analysis of silt composition, and to analyze and obtain the basic influencing factors that restrict the resource utilization of silt. The basic influencing factors include: dredging scale, water content, salinity, pH, silt organic matter content, biological indicators, and heavy metal content.

[0091] The cost-effectiveness objective function establishment module is used to calculate the cost and economic benefits of various resource utilization schemes based on basic influencing factors and the carrying capacity of the water environment, and to establish the cost-effectiveness objective function.

[0092] The environmental impact objective function establishment module is used to simulate the changes in wastewater discharge, noise pollution, and air quality after the implementation of various resource utilization schemes, quantify and compare the adverse effects of each resource utilization scheme, and establish the environmental impact objective function.

[0093] The construction time objective function establishment module is used to calculate the time for preliminary preparation, equipment installation and commissioning, and operation of various resource utilization schemes, and to establish the construction time objective function.

[0094] The module for establishing and solving the multi-objective analysis and decision-making model is used to normalize the cost-effectiveness objective function, the environmental impact objective function, and the construction time objective function, and determine the weight coefficients of each objective function. The multi-objective analysis and decision-making model is constructed with the objectives of minimizing cost-effectiveness, minimizing environmental impact, and minimizing construction time. The optimal solution of the multi-objective analysis and decision-making model is then obtained to obtain the optimal resource utilization scheme for sludge in the water environment.

[0095] The specific implementation methods of each module in this system are the same as those described in Example 1, and will not be repeated here.

[0096] Example 3

[0097] A computer-readable storage medium storing a computer program that, when executed by a processor, implements a method for resource utilization analysis of aquatic sludge as described in Embodiment 1 above, and a system for resource utilization analysis of aquatic sludge as described in Embodiment 2.

[0098] Example 4

[0099] The study focused on dredged silt from a river in a certain city. The current state of silt in the river and lakes of the water environment project was analyzed, geological exploration and geological tests were conducted to determine the dredging area and depth, and the dredging volume Q was calculated. Table 1 shows the calculation table of the dredging volume of a river in a certain city.

[0100] Table 1. Calculation of Dredging Volume for a Certain River in a Certain City

[0101]

[0102]

[0103] The silt was tested and analyzed to determine its basic characteristics, as shown in Table 2.

[0104] Table 2 Basic Characteristics of River Silt

[0105]

[0106] To calculate the costs required for the resource utilization of silt, this case is located in a certain city. Therefore, relevant regulations such as the "Budget Quota for Water Conservancy and Hydropower Construction Projects in a Certain City", "Hourly Rate Quota for Water Conservancy Engineering Machinery", "Budget Quota for Water Conservancy and Hydropower Equipment", and "Fee Standard for Engineering Survey and Design" can be referenced to calculate the costs of each scheme, as shown in Table 3 below.

[0107] Table 3 Calculation of Cost Objective Function

[0108]

[0109] To calculate the economic benefits of sludge resource utilization, the values ​​of each parameter are determined according to B=Q*P, as shown in Table 4 below.

[0110] Table 4. Economic benefits of each resource utilization direction in this case.

[0111]

[0112] Based on the total cost C and economic benefits B, calculate the cost-effectiveness ratio Ri of each resource utilization scheme. The calculation formula is as follows:

[0113]

[0114] Normalizing the cost-effectiveness ratio Ri of each resource utilization scheme, we obtain Ri' for each resource utilization scheme. The normalized calculation is as follows:

[0115]

[0116] The various resource utilization schemes and their cost-effectiveness ratios are shown in Table 5 below.

[0117] Table 5. Cost-effectiveness ratio of each resource utilization scheme in this case study.

[0118]

[0119] An environmental impact assessment will be conducted on the impact of wastewater discharge, equipment noise, and odor generated during the construction period.

[0120] An environmental impact assessment model for resource utilization was established to simulate and calculate the impact of wastewater discharge, equipment noise, and odor generated during the implementation period for each resource utilization scheme. Changes in surrounding water quality (Δv), noise levels (Δa), and air odor H2S concentration (Δl) after the implementation of each resource utilization scheme were statistically analyzed. Since the dimensions and orders of magnitude of these changes are different, each variable was first normalized, and then the normalized values ​​were directly added together to obtain the overall quantitative indicators of the impact of each scheme. The statistical values ​​of each change are shown in Table 6 below.

[0121] Table 6 Environmental Impact Calculation Table for Each Resource Utilization Direction

[0122]

[0123] The changes in surrounding water quality (Δv), noise level (Δa), and air odor H2S concentration (Δl) were normalized and calculated as follows:

[0124]

[0125] The objective function for environmental impact is F = Δv' + Δa' + Δl'. After normalizing the objective function F, we obtain F'.

[0126] The normalized calculation of the environmental impact objective function F' is as follows:

[0127]

[0128] The various options and their environmental impact objective functions F are shown in Table 7 below.

[0129] Table 7. Environmental impact objective functions for each resource utilization scheme in this case.

[0130]

[0131] Determine the construction time: The construction time T includes the site setup time T1, the equipment installation and commissioning time T2, and the equipment resource utilization operation time T3. Establish the time objective function T = T1 + T2 + T3. The construction time of each resource utilization scheme is shown in Table 8.

[0132] Table 8 Construction Time for Each Resource Utilization Scheme

[0133] Resource Utilization Scheme Garden greening soil No-fired bricks subgrade soil The setup time for the venue is T1 1.2*Q / 3000 1.4*Q / 3000 Q / 3000 Equipment installation and commissioning time T2 1.2*Q / 10000 1.4*Q / 10000 Q / 10000 and equipment resource utilization operation time T3 1.2*Q / 500 1.4*Q / 500 1.0*Q / 500

[0134] The construction time T = T1 + T2 + T3, and T' is obtained by normalizing the objective function of construction time.

[0135] The normalized objective function T' for construction time is calculated as follows:

[0136]

[0137] The resource utilization schemes and the objective function F for construction time are shown in Table 9 below.

[0138] Table 9 Construction Time for Each Resource Utilization Scheme

[0139]

[0140] Solve the multi-objective analysis and decision model to determine the optimal solution.

[0141] After substituting the cost-effectiveness objective function, environmental impact objective function, and construction time objective function into the objective function U(x)=ω1R'+ω2F'+ω3T', respectively, we can find the objective function.

[0142] The weights between the objective functions are calculated using the analytic hierarchy process. First, an evaluation matrix is ​​established for the three indicators of the objective functions. The evaluation matrix of the objective functions is shown in Table 10.

[0143] Table 10 Evaluation Matrix of Objective Function

[0144] project Economic benefits Environmental impact Construction time Economic benefits 1 2 3 Environmental impact 1 / 2 1 2 Construction time 1 / 3 1 / 2 1

[0145] Then, the evaluation matrix of the objective function was normalized, and the results are shown in Table 11.

[0146] Table 11 Normalization results of the objective function evaluation matrix

[0147] project Economic benefits Environmental impact Construction time Economic benefits 0.55 0.57 0.50 Environmental impact 0.27 0.29 0.33 Construction time 0.18 0.14 0.17

[0148] After calculation, the weights of each objective function are: ω1 = 0.54, ω2 = 0.30, ω3 = 0.16.

[0149] The weights ω i Substituting into the formula, we get:

[0150] minU(x)=0.54R'+0.30F'+0.16T'.

[0151] In this case, through multiple computer-aided calculations, it was determined that when Q1 = 45000, Q2 = 0, and Q3 = 0, the multi-objective decision model function U(X) is minimized, minU(X) = 0.31, meaning that using all the silt as landscaping soil is the optimal resource utilization scheme.

[0152] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of this application can be implemented in various computer languages, such as object-oriented programming languages ​​like Java, C++, Python, and interpreted scripting languages ​​like JavaScript.

[0153] This application is described with reference to flowchart illustrations and / or block diagrams of methods, electronic devices (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing electronic device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing electronic device, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0154] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing electronic device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0155] These computer program instructions can also be loaded onto a computer or other programmable data processing electronic device to cause a series of operational steps to be performed on the computer or other programmable electronic device to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable electronic device for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0156] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0157] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for analyzing the resource utilization of silt in aquatic environments, characterized in that, Includes the following steps: Based on geological exploration of the water environment and analysis of silt composition, the scale of dredging and silt characteristics were determined, and the basic influencing factors restricting the resource utilization of silt were analyzed and obtained. The basic influencing factors include: dredging scale, water content, salinity, pH, silt organic matter content, biological indicators, and heavy metal content. Based on the basic influencing factors and the carrying capacity of the water environment, the cost and economic benefits of each resource utilization scheme are calculated, and a cost-effectiveness objective function is established. The changes in wastewater discharge, noise pollution, and air quality after the implementation of various resource utilization schemes are simulated, the adverse effects of each resource utilization scheme are quantitatively compared, and an environmental impact objective function is established. Calculate the preparation, equipment installation and commissioning, and operation time for each resource utilization scheme, and establish a construction time objective function; The cost-effectiveness objective function, environmental impact objective function, and construction time objective function are normalized, and the weight coefficients of each objective function are determined. A multi-objective analysis and decision model is constructed, with the objectives of minimizing cost-effectiveness, minimizing environmental impact, and minimizing construction time. The optimal solution of the multi-objective analysis and decision model is obtained, and the optimal resource utilization scheme of aquatic sludge is obtained.

2. The method for resource utilization analysis of aquatic environment sludge according to claim 1, characterized in that: The cost-effectiveness objective function is expressed as follows: R=f(X)= , In the formula, C represents cost and expenses, and B represents economic benefits; The cost is calculated based on seven basic influencing factors: dredging volume Q, sludge moisture content s, salinity y, pH p, sludge organic matter content c, biological indicators s, and heavy metal content j. These seven basic influencing factors are represented as X = f(Q, s, y, p, c, s, j). A cost objective function C is established as follows: C=g1(X)+g2(X)+g3(X), In the formula, g1(X) represents the site cost, including site leveling and site construction structures, specifically site leveling, sludge storage tanks, pre-sedimentation tanks, and coagulation sedimentation tanks; g2(X) represents the equipment cost and reagent cost, including screening machines, agitators, sludge thickening tanks, filter presses, booster pumps, and pipeline valves and accessories, and reagent cost includes coagulants and material mixing materials; g3(X) represents the construction and operation cost, which is all expenses incurred in the process of sludge resource utilization, including the cost of turnover materials, rental fees, labor costs, and all expenses incurred in construction organization and management. Based on the calculated economic benefits generated by resource recovery, an economic benefit objective function is established: B = Q * P, In the formula, B represents economic benefits, Q represents dredging volume, and P represents the unit revenue from sludge resource utilization.

3. The method for resource utilization analysis of aquatic environment sludge according to claim 2, characterized in that: The method for establishing the environmental impact objective function includes: An environmental impact assessment model for the resource utilization site was established to simulate and calculate the impact of wastewater discharge, equipment noise, and gas odor generated during the implementation period of each resource utilization scheme. The changes in surrounding water quality (Δv), noise (Δa), and air odor H2S concentration (Δl) after the implementation of each resource utilization scheme were statistically analyzed. Since the dimensions and orders of magnitude of each change are different, the variables are first normalized, and then the normalized values ​​are directly added together to obtain the overall quantitative index of the impact of each scheme. The environmental impact objective function is expressed as follows: F = △v' + △a' + △l', Where △v' represents the normalized change in surrounding water quality; △a' represents the normalized change in noise; and △l' represents the normalized change in air odor H2S concentration.

4. The method for resource utilization analysis of aquatic environment sludge according to claim 3, characterized in that: The objective function for construction time is expressed as: T = T1 + T2 + T3, In the formula, T1 is the site setup time, T2 is the equipment installation and commissioning time, and T3 is the equipment resource utilization operation time; The construction time is not only related to the amount of silt Q, but also to the characteristics of the silt: water content s, salinity y, pH p, organic matter content c, biological indicators s, and heavy metal content j. That is, it is related to the variable X = f(Q, s, y, p, c, s, j) of the seven basic influencing factors. The site setup time T1, equipment installation and commissioning time T2, and equipment resource utilization operation time T3 are respectively expressed as: T1=f1(X), T2=f2(X) T3 = f3(X).

5. The method for resource utilization analysis of aquatic environment sludge according to claim 4, characterized in that: The multi-objective analysis and decision model is expressed as follows: minU(x)=ω1R'+ω2F'+ω3T', X=[Q, s, y, p, c, s, j], ∑ω i =1,i=1,2,3, In the formula, R' is the normalized cost-effectiveness objective function, F' is the normalized environmental impact objective function, and T' is the normalized construction time objective function; ω1, ω2, and ω3 are the weight coefficients of each objective function, respectively. Substitute the variables of the seven basic influencing factors into the cost-effectiveness objective function, the environmental impact objective function, and the construction time objective function, and perform normalization to solve the multi-objective analysis and decision model U(x). The scheme with the smallest U(x) value is the optimal scheme under the multi-objective analysis and decision model, that is, the optimal resource utilization scheme of water environment sludge with the smallest cost-effectiveness, the least environmental impact, and the shortest construction time.

6. A resource utilization analysis system for aquatic environment sludge that implements the method of any one of claims 1-5, characterized in that: It includes modules for basic impact factor analysis, cost-effectiveness objective function establishment, environmental impact objective function establishment, construction time objective function establishment, and the establishment and solution of multi-objective analysis decision models. The basic influencing factor analysis module is used to determine the scale of dredging and the characteristics of silt based on geological exploration of the water environment and component detection of silt, and to analyze and obtain the basic influencing factors that restrict the resource utilization of silt. The basic influencing factors include: dredging scale, water content, salinity, pH, organic matter content of silt, biological indicators, and heavy metal content. The cost-effectiveness objective function establishment module is used to calculate the cost and economic benefits of each resource utilization scheme based on the basic influencing factors and the carrying capacity of the water environment, and to establish the cost-effectiveness objective function. The environmental impact objective function establishment module is used to simulate the changes in wastewater discharge, noise pollution, and air quality after the implementation of various resource utilization schemes, quantify and compare the adverse effects of each resource utilization scheme, and establish the environmental impact objective function. The construction time objective function establishment module is used to calculate the time for preliminary preparation, equipment installation and commissioning, and operation of each resource utilization scheme, and to establish the construction time objective function. The module for establishing and solving the multi-objective analysis and decision-making model is used to normalize the cost-effectiveness objective function, the environmental impact objective function, and the construction time objective function, and determine the weight coefficients of each objective function. The multi-objective analysis and decision-making model is constructed with the objectives of minimizing cost-effectiveness, minimizing environmental impact, and minimizing construction time. The optimal solution of the multi-objective analysis and decision-making model is then obtained to obtain the optimal resource utilization scheme for sludge in the water environment.

7. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by the processor, it implements a method for resource utilization analysis of aquatic sludge as described in any one of claims 1-5.

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