Method and system for optimizing proportion of curing material for whole industrial waste residues of dredged sludge

Abstract

The invention discloses a dredged sludge full industrial waste residue curing material proportion optimization method and system, and the method comprises the steps: carrying out a proportion test on dredged sludge by adopting cement, mineral powder and desulfurized gypsum according to a volcanic ash, alkali and sulfate synergistic curing mechanism, determining the optimal mixing ratio of each material, and giving chemical component mass ratios of SO3 / Al2O3, CaO / Al2O3 and (CaO + MgO) / SiO2; the method comprises the following steps: investigating industrial waste residues in a dredging engineering preset range, dividing the industrial waste residues into three types: an active base material, an alkali-activated material and a sulfate-activated material, and measuring chemical components of the industrial waste residues; according to the chemical components and the target mass ratio of the chemical components determined by the ratio test, three target functions for optimizing the ratio of the whole industrial waste residue curing material are established; and searching an optimal solution meeting the three objective functions by using an optimization algorithm. The method can solve the problem of proportion change caused by difference of chemical components of industrial waste residues in different regions, the proportion optimization efficiency is greatly improved, and the popularization value is extremely high.

Description

Technical Field

[0001] The invention belongs to the technical field of river dredged sludge solidification, and in particular relates to a method and system for optimizing the proportion of dredged sludge full-industrial waste solidification materials. Background Art

[0002] In order to improve water quality and ensure the smooth flow of water systems and waterways, my country carries out large-scale river and lake dredging projects every year, which inevitably produces a large amount of dredged sludge. At present, dredged sludge from rivers and lakes is usually disposed of by dumping, which not only forms a weak foundation that is difficult to use, but also occupies a large amount of land and causes secondary pollution. How to efficiently dispose of the growing amount of abandoned dredged sludge is a problem of global concern. Chemical solidification is one of the effective methods for large-scale disposal of dredged sludge. It adds curing agents such as cement and lime to the sludge, so that the water and clay minerals in the sludge undergo a series of physical and chemical reactions with the curing agent to improve the engineering properties of the sludge, increase the strength of the soil, and achieve the purpose of resource utilization. However, traditional curing materials such as cement and lime have high costs, high energy consumption, and CO2 emissions during the production process. 2 High emissions, serious environmental pollution and other issues. In addition, for dredged sludge with high water content and high organic matter, the solidification effect of cement and lime is often poor, while mixing different types of industrial waste residues (such as blast furnace slag, fly ash, carbide slag, desulfurized gypsum, etc.) can effectively solidify dredged sludge with high water content. Therefore, for a large number of river dredging projects, if solidification materials can be developed using local industrial waste residues and used for efficient dehydration and solidification of dredged sludge with high water content, it can play a significant role in "treating waste with waste".

[0003] However, for the same type of industrial waste residues in different regions and factories, their chemical components are quite different, and a large number of experiments are needed to find the optimal mixing ratio of different types of industrial waste residues, resulting in a huge amount of experimental work. To this end, it is necessary to carry out different types of material ratio tests for high-water content dredged sludge based on the multi-component synergistic solidification mechanism of active substrate, alkaline excitation and sulfate excitation, determine the optimal mixing amount, and obtain the corresponding chemical component mass ratio. On this basis, considering the differences in the chemical components of industrial waste residues in different regions and factories, a multi-objective function is established for ratio optimization design, and a set of optimization methods and systems for the ratio of dredged sludge full industrial waste residue solidification materials are developed. This has important practical significance for improving the utilization efficiency of local industrial waste residues and the solidification effect of dredged sludge, and realizing "waste treatment with waste". Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention proposes a method and system for optimizing the proportion of dredged sludge full industrial waste slag solidification materials, so as to realize the rapid preparation of dredged sludge solidification materials by utilizing industrial waste slag from different regions and factories.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A method for optimizing the proportion of solidified materials for dredged sludge and industrial waste residues, comprising the following steps:

[0007] S1: Based on the ternary synergistic solidification mechanism of active substrate, alkali-activated material and sulfate-activated material, cement, mineral powder and desulfurized gypsum were used to carry out solidification ratio tests on dredged sludge, determine the optimal ratio, and give the chemical composition SO 3 / Al 2 O 3 、CaO / Al 2 O 3 、(CaO+MgO) / SiO 2 The mass ratio of

[0008] S2: Investigate the industrial waste residues within the preset scope of the dredging project, divide the industrial waste residues into three types: active substrate, alkali-activated material and sulfate-activated material, and determine the content of the components to be tested in different industrial waste residues;

[0009] S3: According to the content of the tested components of the three types of industrial waste residues and the mass ratio of the chemical components given by the optimization ratio test, three objective functions for optimizing the ratio of the solidified materials of the industrial waste residues of dredged sludge are established;

[0010] S4: Use the optimization algorithm to find the optimal solution corresponding to the three objective functions and determine the optimal mixing ratio of different types of industrial waste residues.

[0011] Preferably, the chemical components to be tested in industrial waste residues include: SiO 2 、Al 2 O 3 , CaO, MgO and SO 3 According to the content of the chemical components to be tested in the three types of industrial waste residues, the method of establishing three objective functions for optimizing the proportion of the solidified materials of the dredged sludge industrial waste residues includes:

[0012]

[0013]

[0014] In the formula, i represents the type of industrial waste residue; m i It indicates the mass of industrial waste residue type i added into the sludge solidifying agent; Indicates SO in type i industrial waste residue 3 percentage; It indicates the SO in three types of industrial waste residues: substrate, alkali activator and sulfate activator. 3 Total mass; Indicates Al in type i industrial waste slag 2 O3 percentage; The Al content in three types of industrial waste residues: substrate, alkali activator and sulfate activator 2 O 3 Total mass; It indicates the percentage of CaO in type i industrial waste residue; It represents the total mass of CaO in three types of industrial waste residues: base material, alkali activator and sulfate activator; Indicates the percentage of MgO in type i industrial waste residue; It represents the total mass of CaO and MgO in three types of industrial waste residues: substrate, alkali activator and sulfate activator; Indicates the SiO in type i industrial waste 2 percentage; The SiO in three types of industrial waste residues: substrate, alkali activator and sulfate activator 2 Total mass; For SO 3 With Al 2 O 3 Target mass ratio; CaO and Al 2 O 3 Target mass ratio; CaO, MgO and SiO 2 target mass ratio.

[0015] Preferably, the target mass ratio includes: and According to S1, cement, mineral powder and desulfurized gypsum were used to solidify the dredged sludge.

[0016] Preferably, the method of using an optimization algorithm to find the optimal solution corresponding to the three objective functions includes:

[0017] S41: Input the number of types of industrial waste residue materials L, where L is a positive integer greater than or equal to 1, and the effective component content of each material Content (i, j), where i is the number of types of industrial waste residue materials, the maximum is L, and j is the effective component type data;

[0018] S42: Set m i The search range is [0, 1], the number of particles is set to 2000, the maximum number of iterations is 100, and the random function is used to initialize the particle swarm;

[0019] S43: Calculate the fitness and assign values ​​according to the two objective functions;

[0020] S44: Update the individual optimal value pbest of each particle;

[0021] S45: Calculate density information;

[0022] S46: Calculate the overall optimal value gbest in the set of rank=1 according to the density information;

[0023] S47: Determine whether the convergence condition is met. If so, output m 1 ,m 2 ,m 3 ;

[0024] S48: If not satisfied, the particle position and velocity of the next iteration step are updated according to the core formula of the improved particle swarm algorithm, and the calculation process of S41-S47 is repeated. The inertia weight and learning factor in the particle swarm algorithm use a linear decreasing function to dynamically improve the strategy.

[0025] The present invention also provides a dredged sludge full industrial waste slag solidification material ratio optimization system, including: a preliminary ratio test module, an industrial waste slag classification module, an objective function construction module and a solidification material ratio optimization analysis module;

[0026] The preliminary proportion test module is used to carry out a solidification proportion test on dredged sludge using cement, mineral powder and desulfurized gypsum according to the ternary synergistic solidification mechanism of active substrate, alkali activated material and sulfate activated material, determine the optimal proportion, and give the chemical composition SO 3 / Al 2 O 3 、CaO / Al 2 O 3 、(CaO+MgO) / SiO 2 The mass ratio of

[0027] The industrial waste residue classification module is used to investigate the industrial waste residue within the preset range of the dredging project, classify the industrial waste residue into three types: active substrate, alkali-activated material and sulfate-activated material, and determine the content of the components to be tested in different industrial waste residues;

[0028] The objective function building module is used to establish three objective functions for optimizing the proportion of all industrial waste slag solidification materials from dredged sludge according to the content of the components to be tested of the three types of industrial waste slag and the mass ratio of the chemical components given by the optimization proportion test;

[0029] The solidified material ratio determination module is used to use an optimization algorithm to find the optimal solution corresponding to the three objective functions and determine the optimized mixing ratio of different types of industrial waste residues.

[0030] Preferably, the components to be tested in industrial waste residues include: SiO 2 、Al 2 O3 , CaO, MgO and SO 3 According to the content of the components to be tested of the three types of industrial waste residues and the target mass ratio obtained by the previous proportioning test module, the process of establishing three objective functions for optimizing the proportion of the solidified materials of the dredged sludge industrial waste residues includes:

[0031]

[0032] In the formula, i represents the type of industrial waste residue; m i It indicates the mass of industrial waste residue type i added into the sludge solidifying agent; Indicates SO in type i industrial waste residue 3 percentage; It indicates the SO in three types of industrial waste residues: substrate, alkali activator and sulfate activator. 3 Total mass; Indicates Al in type i industrial waste slag 2 O 3 percentage; The Al content in three types of industrial waste residues: substrate, alkali activator and sulfate activator 2 O 3 Total mass; It indicates the percentage of CaO in type i industrial waste residue; It represents the total mass of CaO in three types of industrial waste residues: base material, alkali activator and sulfate activator; Indicates the percentage of MgO in type i industrial waste residue; It represents the total mass of CaO and MgO in three types of industrial waste residues: substrate, alkali activator and sulfate activator; Indicates SiO in type i industrial waste 2 percentage; The SiO in three types of industrial waste residues: substrate, alkali activator and sulfate activator 2 Total mass; For SO 3 With Al 2 O 3 Target mass ratio; CaO and Al 2 O 3 Target quality ratio; CaO, MgO and SiO 2 Target quality ratio.

[0033] Preferably, the target mass ratio includes: and According to the previous proportion test module, cement, mineral powder and desulfurized gypsum were used to carry out solidification proportion test on dredged sludge.

[0034] Preferably, the curing material ratio determination module includes: an input unit, an initialization unit, a first calculation unit, an update unit, a second calculation unit, a third calculation unit, a judgment unit and a dynamic improvement unit;

[0035] The input unit is used to input the number of types of industrial waste materials L, where L is a positive integer greater than or equal to 1, and the effective component content Content (i, j) contained in each material, where i is the number of types of industrial waste materials, the maximum is L, and j is the effective component type data;

[0036] The initialization unit is used to set m i The search range is [0, 1], the number of particles is set to 2000, the maximum number of iterations is 100, and the random function is used to initialize the particle swarm;

[0037] The first calculation unit is used to calculate the fitness and assign values ​​according to the two objective functions;

[0038] The updating unit is used to update the individual optimal value pbest of each particle;

[0039] The second calculation unit is used to calculate density information;

[0040] The third calculation unit is used to calculate the overall optimal value gbest in the set of rank=1 according to the density information;

[0041] The judgment unit is used to judge whether the convergence condition is met, and if so, output m 1 ,m 2 ,m 3 ;

[0042] The dynamic improvement unit is used to update the particle position and speed of the next iteration step according to the core formula of the improved particle swarm algorithm if it is not satisfied, and repeat the input unit-judgment unit calculation process. The inertia weight and learning factor in the particle swarm algorithm use a linear decreasing function to perform a dynamic improvement strategy.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] (1) In view of the differences in chemical components of the same type of industrial waste residues in different regions and factories, the large workload of preparing the ratio test of high-water content dredged sludge solidification materials and the need for dynamic adjustment of the material ratio, the present invention proposes a method and system for optimizing the ratio of dredged sludge full industrial waste residue solidification materials. First, according to the ternary synergistic solidification mechanism of active substrate, alkali excitation and sulfate excitation, cement, mineral powder and desulfurized gypsum are used to carry out solidification ratio tests on dredged sludge, and the chemical components SO of the solidification material are obtained. 3 / Al 2 O3 、CaO / Al 2 O 3 、(CaO+MgO) / SiO 2 At the same time, the industrial waste residues within 50km around the local dredging plant were surveyed and counted. According to the hydration reaction mechanism, they were divided into three types: active substrate, alkali activator and sulfate activator. The SiO content in each type of industrial waste residue was determined. 2 、Al 2 O 3 , CaO, MgO and SO 3 content; according to the chemical composition of different types of industrial waste residues and the target mass ratio of chemical components in the optimal ratio solidification material, three objective functions for optimizing the ratio of all industrial waste residue solidification materials of dredged sludge were established; then, the multi-objective particle swarm optimization algorithm was used to find the optimal solution corresponding to the three objective functions and determine the dosage of different types of industrial waste residues. This method can quickly design the optimal ratio scheme of solidification materials based on the differences in the chemical composition of industrial waste residues in different regions and factories, greatly reduce the workload of conventional ratio tests, and improve the efficiency of solidification material ratio design.

[0045] (2) The present invention utilizes industrial waste residue to rapidly prepare high-water content sludge solidification materials, and applies them to the improvement of dredged sludge from rivers, lakes and reservoirs, so that it can be applied to filling projects such as embankments and roadbeds, thus achieving "waste treatment with waste" with significant economic and environmental benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0047] Figure 1 A flow chart of a method for optimizing the proportion of solidified materials for dredged sludge and industrial waste residue according to an embodiment of the present invention;

[0048] Figure 2 Schematic diagram of the curing effect of the curing material designed for an embodiment of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0051] Embodiment 1

[0052] The present invention proposes a method and system for optimizing the proportion of high-water-content dredged sludge full-industrial waste solidification materials. According to the ternary synergistic solidification mechanism of active substrate, alkali excitation and sulfate excitation, cement, mineral powder and desulfurized gypsum are used to carry out solidification proportioning tests on dredged sludge to obtain the chemical components SO 3 / Al 2 O 3 、CaO / Al 2 O 3 、(CaO+MgO) / SiO 2 The target mass ratio of industrial waste residues was set; the industrial waste residues within 50km of the dredging project were surveyed and statistically divided into three types: active substrates, alkali-activated materials and sulfate-activated materials; the chemical components of various types of industrial waste residues were tested using an X-ray fluorescence spectrometer (XRF); based on the measured chemical component content and target mass ratio, three objective functions were established to optimize the proportion of solidified materials for all industrial waste residues in dredged sludge; the optimization algorithm was used to find the optimal solution corresponding to the three objective functions (i.e. the optimal mixing ratio of different types of industrial waste residues). Figure 1 A method and system method for optimizing the proportion of solidified materials for dredged sludge and industrial waste residues includes the following steps:

[0053] S1. According to the ternary synergistic curing mechanism of active substrate, alkali activation and sulfate activation, the curing ratio test of dredged sludge with a moisture content of 80% was carried out using Conch P42.5 cement, S95 mineral powder and desulfurized gypsum. The ratio design was carried out using the response surface method. The specimens with a diameter of 50 mm and a height of 100 mm were prepared and the unconfined compressive strength test was carried out after curing to different ages. The test results are shown in Table 1. According to the chemical composition of cement, mineral powder and desulfurized gypsum, the target mass ratio of the chemical composition of the corresponding optimal ratio curing material is as follows: When , this component can effectively promote the formation of ettringite (AFt) and CSH gel, and the curing effect is significant.

[0054] Table 1 Results of preliminary proportion test

[0055]

[0056]

[0057] S2. Investigate the industrial waste residues within 50km around the dredging project, divide them into active substrates (such as blast furnace slag, fly ash, steel slag, etc.), alkali-activated materials (such as carbide slag, alkali slag, aluminum mud, etc.) and sulfate-activated materials (such as desulfurized gypsum, phosphogypsum, titanium gypsum, etc.), and detect the SiO2 content in each industrial waste residue. 2 、Al 2 O 3 , CaO, MgO, SO 3 Component content.

[0058] S3, take one kind of industrial waste residue from each of the active substrate, alkali activated material, and sulfate activated material, and calculate the SiO 2 、Al 2 O 3 , CaO, MgO, SO 3 The content of dredged sludge solidification materials is used to establish the optimization objective function of the ratio of dredged sludge solidification materials based on all industrial waste residues:

[0059]

[0060] In the formula, i represents the type of industrial waste residue; m i It indicates the mass of industrial waste residue type i added into the sludge solidifying agent; Indicates SO in type i industrial waste residue 3 percentage; It indicates the SO in three types of industrial waste residues: substrate, alkali activator and sulfate activator. 3 Total mass; Indicates Al in type i industrial waste slag 2 O 3 percentage; The Al content in three types of industrial waste residues: active substrate, alkali activator and sulfate activator 2 O 3 Total mass; It indicates the percentage of CaO in type i industrial waste residue; It represents the total mass of CaO in three types of industrial waste residues: base material, alkali activator and sulfate activator; Indicates the percentage of CaO and MgO in type i industrial waste residue; It represents the total mass of CaO and MgO in three types of industrial waste residues: active substrate, alkali activator and sulfate activator; Indicates the SiO in type i industrial waste 2 percentage; The SiO in three types of industrial waste residues: active substrate, alkali activator and sulfate activator 2 Total mass; For SO 3 With Al2 O 3 Target mass ratio; CaO and Al 2 O 3 Target quality ratio; CaO, MgO and SiO 2 Target quality ratio.

[0061] S4. Use optimization algorithms to find the optimal solutions m corresponding to the three objective functions 1 、m 2 and m 3 , corresponding to the dosage of three types of industrial waste slag: active substrate, alkali activator and sulfate activator.

[0062] For example, the industrial waste residue within 50km of a dredging project was investigated and sampled for testing, and the SiO content in each type of industrial waste residue was determined. 2 、Al 2 O 3 , CaO, MgO, SO 3 According to the component content, industrial waste residues can be divided into active substrates, alkali-activated materials and sulfate-activated materials according to the hydration reaction mechanism.

[0063] Taking blast furnace slag (GGBS) as the active substrate, carbide slag (CS) as the alkali activation material, and phosphogypsum (PG) as the sulfate activation material, three objective functions based on the optimization of the ratio of industrial waste slag dredging sludge solidification materials were established:

[0064]

[0065] In the formula, i represents the type of industrial waste residue; m i It indicates the dosage of type i industrial waste residue in the sludge solidifying agent; Indicates SO in type i industrial waste residue 3 percentage; It indicates the SO in three types of industrial waste residues: substrate, alkali activator and sulfate activator. 3 Total mass; Indicates Al in type i industrial waste slag 2 O 3 percentage; The Al content in three types of industrial waste residues: substrate, alkali activator and sulfate activator 2 O 3 Total mass; It indicates the percentage of CaO in type i industrial waste residue; It represents the total mass of CaO in three types of industrial waste residues: base material, alkali activator and sulfate activator; Indicates the percentage of CaO and MgO in type i industrial waste residue; It represents the total mass of CaO and MgO in three types of industrial waste residues: substrate, alkali activator and sulfate activator; Indicates the SiO in type i industrial waste 2 percentage; The SiO in three types of industrial waste residues: substrate, alkali activator and sulfate activator 2 Total mass; For SO 3 With Al 2 O 3 Target mass ratio; CaO and Al 2 O 3 Target quality ratio; CaO, MgO and SiO 2 Target quality ratio.

[0066] According to the optimal curing material chemical component target mass ratio distribution range obtained from the S1 curing ratio test, the three objective functions are input The multi-objective particle swarm algorithm was used to optimize the ratio of industrial waste slag, and the optimal ratio of solidifying materials was obtained as follows: the ratio of blast furnace slag to carbide slag was 2.04, and the mass percentage of phosphogypsum was 10.4%. Figure 2 The present invention provides the curing effect of the optimized ratio of curing materials on high water content sludge. The initial water content of the dredged sludge is 100%, and the curing agent dosage is 100kg / m 3 The results show that the optimized ratio provided by the present invention has the best curing effect.

[0067] When the present invention adopts the improved particle algorithm to perform target optimization, the specific steps are as follows:

[0068] 1) Input the number of industrial waste materials L (a positive integer greater than or equal to 1) and the effective component content of each material Content (i, j) - "i" is the number of industrial waste materials (the maximum is L), and "j" is the effective component type data;

[0069] 2) Set the blast furnace slag content m 1 , carbide slag dosage m 2 and phosphogypsum dosage m 3 The search range is [0, 1], the number of particles is set to 2000, the maximum number of iterations is 100, and the coordinates of each particle are a three-dimensional vector x i (m 1 ,m 2 ,m 3 ), the random function Rand() is used to randomly generate the initial position coordinate x of each particle i and initial velocity v iUse random function to initialize particle swarm;

[0070] 3) The coordinate vector x of each particle i Substitute into the above objective function f 1 , f 2 and f 3 , respectively calculate the distances between the three objective functions and the target value and sum them up as the individual fitness of each particle at the current coordinates; calculate the fitness according to the two objective functions and assign values;

[0071] 4) Compare the fitness of each particle at the current coordinate with the optimal fitness of the particle during the iteration process. If the fitness at the current coordinate is smaller, update the optimal value pbest of the individual fitness of each particle and update the particle coordinate x corresponding to the optimal value. i ;

[0072] 5) Calculate the overall optimal value gbest in the set of rank=1 according to the density information; compare the individual fitness optimal values ​​of all particles, save the minimum value as the overall fitness optimal value gbest, and update the particle coordinates corresponding to the optimal value;

[0073] 6) Determine whether the optimal value of overall fitness gbest meets the convergence condition. If so, output the particle coordinates (m 1 ,m 2 ,m 3 );

[0074] 7) If not satisfied, update the particle position and velocity of the next iteration step according to the core formula of the improved particle swarm algorithm, and repeat the above calculation process;

[0075] v i (t+1)=v i (t)+c 1 r 1 [pbest i (t)-x i (t)]+c 2 r 2 [gbest i (t)-x i (t)]

[0076] x i (t+1)=x i (t)+v i (t+1)

[0077] Where c1, c2 and r1, r2 are the inertia weight and learning factor in the particle swarm algorithm respectively. They decrease with the increase of iteration times to improve the local search ability of the particle swarm algorithm, and k is the parameter that controls the reduction rate.

[0078]

[0079] The present invention effectively overcomes the problem of large workload of curing material ratio test caused by inconsistent types of industrial waste residues and differences in component content in different regions and factories. 2 、Al 2 O 3 , CaO, MgO and SO 3 content, and use optimization algorithms to quickly determine the optimal ratio of all industrial waste residue-based solidification materials, improve the effective utilization rate of industrial waste residues, and apply them to the improvement of river dredging sludge to achieve "waste treatment with waste".

[0080] Embodiment 2

[0081] The present invention also provides a dredged sludge full industrial waste slag solidification material ratio optimization system, including: a preliminary ratio test module, an industrial waste slag classification module, an objective function construction module and a solidification material ratio optimization analysis module;

[0082] The preliminary proportion test module is used to carry out solidification proportion test on dredged sludge using cement, mineral powder and desulfurized gypsum according to the ternary synergistic solidification mechanism of active substrate, alkali activated material and sulfate activated material, determine the optimal proportion, and give the chemical composition SO 3 / Al 2 O 3 、CaO / Al 2 O 3 、(CaO+MgO) / SiO 2 The mass ratio of

[0083] The industrial waste residue classification module is used to investigate the industrial waste residue within the preset range of the dredging project, classify the industrial waste residue into three types: active substrate, alkali-activated material and sulfate-activated material, and determine the content of the components to be tested in different industrial waste residues;

[0084] The objective function building module is used to establish three objective functions for optimizing the proportion of all industrial waste slag solidification materials from dredged sludge according to the content of the components to be tested in the three types of industrial waste slag and the mass ratio of the chemical components given by the optimization proportion test;

[0085] The solidification material ratio determination module is used to use the optimization algorithm to find the optimal solution corresponding to the three objective functions and determine the optimized mixing ratio of different types of industrial waste slag.

[0086] In this embodiment, the components to be tested in industrial waste slag include: SiO 2 、Al 2 O 3 , CaO, MgO and SO 3According to the content of the components to be tested of the three types of industrial waste residues and the target mass ratio obtained by the previous proportioning test module, the process of establishing three objective functions for optimizing the proportion of the solidified materials of the dredged sludge industrial waste residues includes:

[0087]

[0088] In the formula, i represents the type of industrial waste residue; m i It indicates the mass of industrial waste residue type i added into the sludge solidifying agent; Indicates SO in type i industrial waste residue 3 percentage; It indicates the SO in three types of industrial waste residues: substrate, alkali activator and sulfate activator. 3 Total mass; Indicates Al in type i industrial waste slag 2 O 3 percentage; The Al content in three types of industrial waste residues: substrate, alkali activator and sulfate activator 2 O 3 Total mass; It indicates the percentage of CaO in type i industrial waste residue; It represents the total mass of CaO in three types of industrial waste residues: base material, alkali activator and sulfate activator; Indicates the percentage of MgO in type i industrial waste residue; It represents the total mass of CaO and MgO in three types of industrial waste residues: substrate, alkali activator and sulfate activator; Indicates the SiO in type i industrial waste 2 percentage; The SiO in three types of industrial waste residues: substrate, alkali activator and sulfate activator 2 Total mass; For SO 3 With Al 2 O 3 Target mass ratio; CaO and Al 2 O 3 Target quality ratio; CaO, MgO and SiO 2 Target quality ratio.

[0089] In this embodiment, the target mass ratio includes: and According to the previous proportion test module, cement, mineral powder and desulfurized gypsum were used to carry out solidification proportion test on dredged sludge. When the curing time is 2 hours, it can effectively promote the formation of ettringite (AFt) and CSH gel, and the curing effect is remarkable.

[0090] In this embodiment, the curing material ratio determination module includes: an input unit, an initialization unit, a first calculation unit, an update unit, a second calculation unit, a third calculation unit, a judgment unit and a dynamic improvement unit;

[0091] The input unit is used to input the number of types of industrial waste residue materials L, where L is a positive integer greater than or equal to 1, and the effective component content Content (i, j) contained in each material, where i is the number of types of industrial waste residue materials, the maximum is L, and j is the effective component type data;

[0092] The initialization unit is used to set m i The search range is [0, 1], the number of particles is set to 2000, the maximum number of iterations is 100, and the random function is used to initialize the particle swarm;

[0093] The first calculation unit is used to calculate the fitness and assign values ​​according to the two objective functions;

[0094] The updating unit is used to update the individual optimal value pbest of each particle;

[0095] The second calculation unit is used to calculate density information;

[0096] The third calculation unit is used to calculate the overall optimal value gbest in the set of rank=1 according to the density information;

[0097] The judgment unit is used to judge whether the convergence condition is met. If it is met, it outputs m 1 ,m 2 ,m 3 ;

[0098] The dynamic improvement unit is used to update the particle position and velocity of the next iteration step according to the core formula of the improved particle swarm algorithm if it is not satisfied, and repeat the input unit-judgment unit calculation process. The inertia weight and learning factor in the particle swarm algorithm use a linear decreasing function to perform a dynamic improvement strategy.

[0099] Embodiment 3

[0100] The present invention also provides a computer device, comprising:

[0101] one or more processors;

[0102] Memory; and

[0103] One or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and when the programs are executed by the processors, the steps of the method for optimizing the ratio of high-moisture content sludge solidification materials based on full industrial waste slag are implemented as described above.

[0104] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for optimizing the proportion of high-water content sludge solidification materials based on all-industrial waste as described above.

[0105] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, computer devices or computer program products. Therefore, the software of the present invention is developed based on Matlab, which can quickly determine the optimal ratio of given different types of industrial waste residues, and the pictures and ratio optimization results can be saved locally or uploaded to the cloud.

[0106] The present invention is described with reference to a flowchart of a method according to an embodiment of the present invention. It should be understood that each process in the flowchart and a combination of processes in the flowchart can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A system that specifies functions within a process or multiple processes.

[0107] The technical features of the software are: the first is easy maintenance: it is designed with Matlab code. During the entire project, the code is simple, clear and well-annotated; the second advantage is high efficiency: to obtain the optimized ratio, you only need to input the content of effective ingredients in each industrial waste residue, which is easy for beginners to master and improves efficiency; the third is easy expansion: it can be coupled into other large-scale integrated computing codes, making the system more flexible, easier to expand, and suitable for a wider range of fields.

[0108] The main functions of the software developed by the present invention are as follows: (1) Open the stored mixture_design.m and the required effective component content files of each industrial waste residue, and optimize the design of the optimal mix ratio of the solidified material according to the user's command; (2) The operation interface is clear and intuitive, and the user can understand the required operation at a glance through the comments on each line of the code interface. Save the given optimization results and pictures and clear the calculation results, and quickly enter the calculation of the next group of industrial waste residue materials; (3) It has good maintenance, modification, and expansion functions. Both the system hardware and software meet the requirements of the open standard, and meet the requirements of the system in the future in terms of the increase of hardware nodes, the expansion of database capacity, and the enhancement of system software functions.

[0109] The embodiments described above are only descriptions of the preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should all fall within the protection scope determined by the claims of the present invention.

Claims

1. A method for optimizing the proportion of solidified materials for dredged sludge and industrial waste residue, characterized in that: The following steps are involved: S1: Based on the ternary synergistic solidification mechanism of active substrate, alkali-activated material and sulfate-activated material, cement, mineral powder and desulfurized gypsum were used to carry out solidification ratio tests on dredged sludge, determine the optimal ratio, and give the mass ratios of chemical components SO3 / Al2O3, CaO / Al2O3, (CaO+MgO) / SiO2; S2: Investigate the industrial waste residues within the preset scope of the dredging project, divide the industrial waste residues into three types: active substrate, alkali-activated material and sulfate-activated material, and determine the content of the components to be tested in different industrial waste residues; S3: According to the content of the tested components of the three types of industrial waste residues and the mass ratio of the chemical components given by the optimization ratio test, three objective functions for optimizing the ratio of the solidified materials of the industrial waste residues of dredged sludge are established; S4: Use the optimization algorithm to find the optimal solution corresponding to the three objective functions and determine the optimal mixing ratio of different types of industrial waste residues.

2. The method for optimizing the proportion of dredged sludge full industrial waste solidification materials according to claim 1, characterized in that: The chemical components to be measured in industrial waste residues include: SiO2, Al2O3, CaO, MgO and SO3. According to the content of the chemical components to be measured in the three types of industrial waste residues, the method of establishing three objective functions for optimizing the proportion of the solidified materials of the industrial waste residues of dredged sludge includes: In the formula, i represents the type of industrial waste residue; m i It indicates the mass of industrial waste residue type i added into the sludge solidifying agent; It indicates the percentage of SO3 in type i industrial waste residue; It represents the total mass of SO3 in three types of industrial waste residues: substrate, alkali activator and sulfate activator; It indicates the percentage of Al2O3 in type i industrial waste residue; It represents the total mass of Al2O3 in three types of industrial waste residues: substrate, alkali activator and sulfate activator; It indicates the percentage of CaO in type i industrial waste residue; It represents the total mass of CaO in three types of industrial waste residues: base material, alkali activator and sulfate activator; Indicates the percentage of MgO in type i industrial waste residue; It represents the total mass of CaO and MgO in three types of industrial waste residues: substrate, alkali activator and sulfate activator; Indicates the percentage of SiO2 in type i industrial waste residue; It represents the total mass of SiO2 in three types of industrial waste residues: substrate, alkali activator and sulfate activator; is the target mass ratio of SO3 to Al2O3; is the target mass ratio of CaO to Al2O3; is the target mass ratio of CaO, MgO and SiO2.

3. The method for optimizing the proportion of dredged sludge full industrial waste solidification materials according to claim 1, characterized in that: Target quality ratios include: and According to S1, cement, mineral powder and desulfurized gypsum were used to solidify the dredged sludge.

4. The method for optimizing the proportion of dredged sludge full industrial waste solidification materials according to claim 1, characterized in that: Methods for using optimization algorithms to find the optimal solutions corresponding to the three objective functions include: S41: Input the number of types of industrial waste residue materials L, where L is a positive integer greater than or equal to 1, and the effective component content of each material Content (i, j), where i is the number of types of industrial waste residue materials, the maximum is L, and j is the effective component type data; S42: Set m i The search range is [0, 1], the number of particles is set to 2000, the maximum number of iterations is 100, and the random function is used to initialize the particle swarm; S43: Calculate the fitness and assign values ​​according to the two objective functions; S44: Update the individual optimal value pbest of each particle; S45: Calculate density information; S46: Calculate the overall optimal value gbest in the set of rank=1 according to the density information; S47: Determine whether the convergence condition is met, and if so, output m1, m2, and m3; S48: If not satisfied, the particle position and velocity of the next iteration step are updated according to the core formula of the improved particle swarm algorithm, and the calculation process of S41-S47 is repeated. The inertia weight and learning factor in the particle swarm algorithm use a linear decreasing function to dynamically improve the strategy.

5. A dredged sludge full industrial waste solidification material ratio optimization system, characterized in that: include: Preliminary proportioning test module, industrial waste residue classification module, objective function construction module and curing material proportioning optimization analysis module; The preliminary proportion test module is used to carry out a solidification proportion test on dredged sludge using cement, mineral powder and desulfurized gypsum according to the ternary synergistic solidification mechanism of active substrate, alkali-activated material and sulfate-activated material, determine the optimal proportion, and give the mass ratios of chemical components SO3 / Al2O3, CaO / Al2O3, (CaO+MgO) / SiO2; The industrial waste residue classification module is used to investigate the industrial waste residue within the preset range of the dredging project, classify the industrial waste residue into three types: active substrate, alkali-activated material and sulfate-activated material, and determine the content of the components to be tested in different industrial waste residues; The objective function building module is used to establish three objective functions for optimizing the proportion of all industrial waste slag solidification materials from dredged sludge according to the content of the components to be tested of the three types of industrial waste slag and the mass ratio of the chemical components given by the optimization proportion test; The solidified material ratio determination module is used to use an optimization algorithm to find the optimal solution corresponding to the three objective functions and determine the optimized mixing ratio of different types of industrial waste residues.

6. The dredged sludge full industrial waste solidification material ratio optimization system according to claim 5 is characterized in that: The components to be tested in industrial waste residues include: SiO2, Al2O3, CaO, MgO and SO3. According to the content of the components to be tested in the three types of industrial waste residues and the target mass ratio obtained in the previous proportioning test module, the process of establishing three objective functions for optimizing the proportion of the solidified materials of the industrial waste residues of dredged sludge includes: In the formula, i represents the type of industrial waste residue; m i It indicates the mass of industrial waste residue type i added into the sludge solidifying agent; It indicates the percentage of SO3 in type i industrial waste residue; It represents the total mass of SO3 in three types of industrial waste residues: substrate, alkali activator and sulfate activator; It indicates the percentage of Al2O3 in type i industrial waste residue; It represents the total mass of Al2O3 in three types of industrial waste residues: substrate, alkali activator and sulfate activator; It indicates the percentage of CaO in type i industrial waste residue; It represents the total mass of CaO in three types of industrial waste residues: base material, alkali activator and sulfate activator; Indicates the percentage of MgO in type i industrial waste residue; It represents the total mass of CaO and MgO in three types of industrial waste residues: substrate, alkali activator and sulfate activator; Indicates the percentage of SiO2 in type i industrial waste residue; It represents the total mass of SiO2 in three types of industrial waste residues: substrate, alkali activator and sulfate activator; is the target mass ratio of SO3 to Al2O3; is the target mass ratio of CaO to Al2O3; is the target mass ratio of CaO, MgO and SiO2.

7. The dredged sludge full industrial waste solidification material ratio optimization system according to claim 5 is characterized in that: Target quality ratios include: and According to the previous proportion test module, cement, mineral powder and desulfurized gypsum were used to carry out solidification proportion test on dredged sludge. hour.

8. The dredged sludge full industrial waste solidification material ratio optimization system according to claim 5 is characterized in that: The curing material ratio determination module includes: an input unit, an initialization unit, a first calculation unit, an update unit, a second calculation unit, a third calculation unit, a judgment unit and a dynamic improvement unit; The input unit is used to input the number of types of industrial waste materials L, where L is a positive integer greater than or equal to 1, and the effective component content Content (i, j) contained in each material, where i is the number of types of industrial waste materials, the maximum is L, and j is the effective component type data; The initialization unit is used to set m i The search range is [0, 1], the number of particles is set to 2000, the maximum number of iterations is 100, and the random function is used to initialize the particle swarm; The first calculation unit is used to calculate the fitness and assign values ​​according to the two objective functions; The updating unit is used to update the individual optimal value pbest of each particle; The second calculation unit is used to calculate density information; The third calculation unit is used to calculate the overall optimal value gbest in the set of rank=1 according to the density information; The judging unit is used to judge whether the convergence condition is met, and if so, output m1, m2, m3; The dynamic improvement unit is used to update the particle position and speed of the next iteration step according to the core formula of the improved particle swarm algorithm if it is not satisfied, and repeat the input unit-judgment unit calculation process. The inertia weight and learning factor in the particle swarm algorithm use a linear decreasing function to perform a dynamic improvement strategy.

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