CN115221671B - Garbage material compatibility optimization method - Google Patents

Garbage material compatibility optimization method Download PDF

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CN115221671B
CN115221671B CN202210024483.3A CN202210024483A CN115221671B CN 115221671 B CN115221671 B CN 115221671B CN 202210024483 A CN202210024483 A CN 202210024483A CN 115221671 B CN115221671 B CN 115221671B
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叶恒棣
廖婷婷
李宗平
李旭东
颜学同
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Zhongye Changtian International Engineering Co Ltd
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Abstract

The application relates to the technical field of garbage disposal, and provides a garbage material compatibility optimization method, which comprises the steps of generating at least one compatibility matrix by acquiring a compatibility rule of garbage materials and attribute information affecting compatibility, acquiring current system time and warehousing time of each garbage material, determining storage time of each garbage material, combining the storage time and the compatibility matrix, taking the compatibility of the garbage materials as an optimization variable, establishing a time function, generating an objective function according to the time function, a heat value function, a total quality function and at least one element limit function, and constructing a compatibility model to determine the compatibility of each garbage material in the objective material so as to obtain a current compatibility scheme. Therefore, the method and the device have the advantages that the time function is built and the objective function is built by combining the time function, so that the possibility that the garbage materials with long storage time are selected to participate in the compatibility is increased when the compatibility scheme is determined, the garbage materials with long storage time are favorably treated in advance, and the potential safety hazard is reduced.

Description

Garbage material compatibility optimization method
Technical Field
The application relates to the technical field of garbage material disposal, in particular to a garbage material compatibility optimization method.
Background
The current common method for disposing the garbage materials comprises incineration and landfill, wherein the incineration is to place the garbage materials in an incineration kiln, and the high temperature and enough oxygen environment in the kiln are utilized to enable the organic substances in the garbage materials to be oxidized and decomposed, so that the volume of the garbage materials is effectively reduced, and the harmless garbage materials are realized.
In the incineration process, the compatibility of the garbage materials is a key link, and the compatibility of the garbage materials refers to the process of carrying out physicochemical property analysis on various garbage materials with complex collected components and different forms, determining the weights of different garbage materials according to analysis results, forming a mixing scheme and forming target materials according to the scheme in order to achieve the purposes of stable, controllable, uniform and balanced combustion of the garbage materials treated in a kiln.
In the prior art, basic attributes of garbage materials are obtained, a multi-target model is constructed by taking the maximum heat value, the maximum total mass and the minimum harmful element content of target materials as targets, the compatibility of each material is calculated, and the compatibility is carried out according to the compatibility. However, the longer the storage time of the garbage materials is, the easier the environmental pollution accident or the safety production accident is caused, the compatibility model is established from the aspects of economic benefit and each time of incineration safety and stability in the mode, the storage time of the garbage materials is not considered, and the long-term safety and stability of an incineration treatment plant are not facilitated.
Disclosure of Invention
The application provides a garbage material compatibility optimization method, which aims to solve the problem that the existing method does not consider the storage time of garbage materials, so that potential safety hazards exist.
The application discloses a rubbish material compatibility optimization method, which comprises the steps of obtaining unit heat value and component content of each rubbish material, establishing a heat value function, a total mass function and an element limit value function by taking the compatibility of the rubbish material as an optimization variable according to the unit heat value and the component content, wherein the heat value function is used for representing the unit heat value of a target material, the total mass function is used for representing the total mass of the target material, and the element limit value function is used for representing the content of corresponding elements in the target material, and the method further comprises the following steps:
acquiring a compatibility rule of the garbage material and attribute information influencing compatibility, determining mutually incompatible garbage materials according to the compatibility rule and the attribute information influencing the compatibility, and generating at least one compatibility matrix;
acquiring current system time and warehousing time of each garbage material, and determining the storage time of each garbage material according to the warehousing time and the current system time;
combining the storage time and the compatibility matrix, and establishing a time function by taking the compatibility of the garbage materials as an optimization variable;
generating an objective function and constructing a compatibility model according to the time function, the heat value function, the total mass function and at least one element limit function, and solving the compatibility model to determine the compatibility of all garbage materials in the objective material, so as to obtain a current compatibility scheme.
Optionally, the time function employs the following mathematical model: T.B.X T Wherein T is [ T ] 1 ,,t 2 ,,...,...,t n ],t i Representing the storage time of the ith garbage material, B is a compatibility matrix, and X is [ X ] 1 ,,x 2 ,,...,...,x n ],x i The compatibility of the ith garbage material is shown, i=1, 2, …, n.
Optionally, the generating an objective function and constructing a compatibility model according to the time function, the heat value function, the total mass function and at least one element limit function includes:
multiplying the time function, the heat value function and the total mass function to obtain a first multiplication function;
multiplying by one element limit function or a plurality of element limit functions to obtain a second multiplication function;
and establishing an objective function by using the ratio of the first proportional function to the second proportional function, and constructing a compatibility model by taking the maximum objective function as a target.
Optionally, the compatibility matrix is a diagonal matrix, and the values of diagonal elements in the diagonal matrix are used for judging whether each garbage material is selected to participate in the compatibility, and the compatibility matrix adopts the following model:
Figure BDA0003458780410000021
wherein b is i The diagonal line element represented by the ith garbage material is valued, and the value of 0 indicates that the compatibility is not selected to be participated in, and the diagonal line element is valuedA value of 1 indicates the choice to participate in this compatibility.
Optionally, the attribute information affecting compatibility includes pH value and garbage category, and the compatibility matrix includes pH compatibility matrix and garbage category compatibility matrix.
Optionally, the method further comprises:
obtaining the allowable incineration weight of the incineration kiln, and generating a compatibility constraint condition according to the allowable incineration weight to construct a compatibility model, wherein the compatibility constraint condition is expressed as:
Figure BDA0003458780410000022
sum(B·X T )≤W threshold
wherein X is [ X ] 1 ,,x 2 ,,...,...,x n ],x i Represents the compatibility of the ith garbage material, i=1, 2, …, n,
Figure BDA0003458780410000023
is the stock quantity of the ith garbage material, B is a compatibility matrix, W threshold To allow for incineration of the weight.
Optionally, the method further comprises:
acquiring the temperature in the incinerator, determining a suggested heat value of a target material according to the temperature in the incinerator, and determining a heat value constraint condition according to the suggested heat value and the unit heat value of each garbage material, wherein the heat value constraint condition is expressed as:
Figure BDA0003458780410000024
wherein the unit heat value of each garbage material is Q= [ Q ] 1 ,q 2 ,......,q n ],q i Representing the unit heating value of the ith refuse material, Δq is the range allowed to float on the basis of the proposed heating value.
Optionally, the method further comprises:
obtaining an element limit rule, and determining an element limit constraint condition according to the element limit rule and the content of each component of each garbage material to construct a compatibility model, wherein the element limit constraint condition comprises at least one of a potassium-containing rate constraint condition, a sodium-containing rate constraint condition, a sulfur-containing rate constraint condition, a phosphorus-containing rate constraint condition, a chlorine-containing rate constraint condition, a fluorine-containing rate constraint condition, a bromine-containing rate constraint condition, an iodine-containing rate constraint condition, a zinc-containing rate constraint condition, a lead-containing rate constraint condition, a chromium-containing rate constraint condition, a mercury-containing rate constraint condition, a cadmium-containing rate constraint condition, an arsenic-containing rate constraint condition, a copper-containing rate constraint condition, a moisture-containing constraint condition, a ash-containing constraint condition, a potassium-sodium-containing constraint condition, a sulfur-containing chlorine constraint condition, a halogen-containing constraint condition, a heavy metal-containing constraint condition and a mercury-containing arsenic constraint condition.
Optionally, the solving the compatibility model to determine the compatibility of each garbage material in the target material, to obtain a current compatibility scheme includes:
solving the compatibility model by using a planning method based on mathematics or a genetic algorithm;
presetting a convergence condition of solving, and outputting a current compatibility scheme if the solving is completed within the convergence condition;
if the optimal solution is not found in the convergence condition, adjusting the compatibility scheme according to the current index condition, wherein the current index condition comprises the weight of the current compatibility, the heat value after the compatibility and the content of each element, and the compatibility scheme comprises adding fuel to meet the heat value and replacing the compatibility matrix.
Optionally, the method further comprises: and acquiring flash points, ash melting points and moisture in the attribute information of each rubbish material, judging the attribute information of the rubbish material and the corresponding preset threshold value, and deleting the data of the corresponding rubbish material if a certain attribute is not in accordance with the condition so that the rubbish material does not participate in the compatibility.
According to the technical scheme, the garbage material compatibility optimization method generates at least one compatibility matrix by acquiring a compatibility rule of the garbage material and attribute information affecting compatibility, acquires current system time and warehousing time of each garbage material, determines storage time of each garbage material according to the warehousing time and the current system time, combines the storage time and the compatibility matrix, establishes a time function by taking the compatibility of the garbage material as an optimization variable, generates an objective function according to the time function, the heat value function, the total quality function and at least one element limit function, builds a compatibility model, and solves the compatibility model to determine the compatibility of each garbage material in the objective material, so that the current compatibility scheme is obtained. Therefore, the method and the device have the advantages that the time function is built and the objective function is built by combining the time function, so that when the compatibility scheme is determined, the possibility that the garbage materials with long storage time are selected to participate in compatibility is increased, the garbage materials with long storage time are treated in advance, and the potential safety hazard is reduced.
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Fig. 1 is a flow chart of a garbage material compatibility optimization method provided in an embodiment of the present application.
Detailed Description
In order to facilitate the technical solution of the application, some concepts related to the present application will be described below first.
Before the garbage materials enter the incineration treatment plant, the physical and chemical properties, the component content and the like of the garbage materials can be detected and analyzed at a garbage material generation end or a third party detection mechanism, and the incineration treatment plant can be also provided with a special detection department for detection. In order to standardize the junk material data, the incineration treatment plant can provide relevant junk material reports for users to fill in, attribute information names of the junk materials and corresponding filling prompts and requirements are recorded on the junk material reports, and then the junk material reports are stored in a database and are ready for acquisition and calling in each compatibility.
Referring to table 1, for a garbage material report provided for an embodiment of the present application, attribute information of the garbage material may include a source, a phase, a package, a pH value, a flash point, a unit heat value, a garbage material characteristic, a garbage material class, and a date of storage, and each component content of the garbage material may include moisture (M), ash melting point, chlorine (Cl), sulfur (S), arsenic (As), copper (Cu), potassium (K), sodium (Na), zinc (Zn), lead (Pb), chromium (Cr), bromine (Br), phosphorus (P), iodine (I), fluorine (F), mercury (Hg), and cadmium (Cd). The garbage material class comprises halogenated hydrocarbon waste, sulfur-containing waste, cyanide-containing waste, nitrite waste liquid, ammonia water, iodine-bromine-containing waste and chlorine-containing waste liquid, and the garbage material can be one of the classes or not one of the classes. The fields in the garbage report can be newly added, deleted and modified according to actual conditions.
Table 1 garbage Material report
Figure BDA0003458780410000031
Figure BDA0003458780410000041
Referring to fig. 1, an embodiment of the present application provides a garbage material incineration compatibility optimization method, which includes steps S1 to S4.
S1, acquiring current system time and warehousing time of each garbage material, and determining the storage time of each garbage material according to the warehousing time and the current system time.
In the compatibility process, firstly, the warehouse-in time of each garbage material and the time of the current system are obtained, and the warehouse-in time is subtracted from the current system time to obtain the storage time of each garbage material, which is specifically expressed as:
T=[t 1 ,,t 2 ,,...,...,t n ];
in the method, in the process of the invention,
Figure BDA0003458780410000042
i=1, 2, …, n for the storage time of the ith refuse material, wherein,
Figure BDA0003458780410000043
for the input of the ith refuse materialLibrary time, t now Is the current system time.
In this embodiment, each waste material refers to waste materials of the same source and the same time, for example, in table 2, for 10 months and 23 days, the source is company a, the waste material category is a waste material of halogenated hydrocarbon, the source is company a, the waste material category is b waste material of halogenated hydrocarbon, the source is the company a, the source is the same and the waste material category is the same, but the summary is not performed, a is one waste material, and b is another waste material.
TABLE 2 attribute information of junk material in one embodiment
Source Heating value M Cl S Na K Zn Pb Cr Hg Class of refuse materials Warehouse time Inventory (t)
Company A 3158 20 0 2 1 0.5 2 0.1 0 0 Halogenated hydrocarbons 2021.11.3 5
Company A 4857 10 1 1 0 0 0 0 0 0.2 Halogenated hydrocarbons 2021.10.23 2
In this embodiment of the present application, the unit heat value and the content of each component of each waste material are also obtained during this compatibility, where each component content may include one or more of the waste material reports shown in table 1 above. In a preferred embodiment, attribute information such as flash point, ash melting point, moisture and the like of each garbage material can be obtained, the attribute information of the garbage material and the corresponding preset threshold value are judged, and if a certain attribute does not meet the condition, the data of the corresponding garbage material are deleted, so that the garbage material does not participate in the compatibility.
S2, acquiring a compatibility rule of the garbage materials and attribute information influencing compatibility, determining mutually incompatible garbage materials according to the compatibility rule and the attribute information influencing the compatibility, and generating at least one compatibility matrix.
In the process of mixing the garbage materials, due to different physical and chemical properties and element components of different garbage materials, reasonable selection of compatible garbage materials is needed to enter the same-time mixing scheme in order to ensure the safety of the incineration process and avoid harmful reactions among the garbage materials. However, compared with constraint conditions such as other element limit values, the problem of compatibility of the garbage materials is not convenient to directly convert into the constraint conditions, so that the garbage materials participating in compatibility are selected by generating a compatibility matrix, and specifically, the method comprises steps S201 to S203.
S201, acquiring attribute information affecting compatibility in the garbage materials.
Attribute information affecting compatibility may include pH and waste material class, etc., for example, oxidizing and reducing substances, acidic and basic substances, and halogenated hydrocarbon waste and mercury-containing waste, which if present, may undergo severe harmful chemical reactions.
S202, acquiring a compatibility rule of the garbage materials, determining mutually incompatible garbage materials according to the compatibility rule and attribute information affecting compatibility, and generating at least one compatibility matrix, wherein the compatibility matrix is used for judging whether each garbage material is selected to participate in the compatibility.
The compatibility rule is used for determining that garbage materials with incompatible components cannot enter a compatibility scheme at the same time, as shown in the following table 3, and is an exemplary compatibility rule table provided for an embodiment of the application, wherein 0 indicates that the garbage materials are not allowed to burn together, 1 indicates that the garbage materials can be burned together, and 2 indicates that the garbage materials are better in burning together.
Table 3 compatibility rules table
Waste class Halogenated hydrocarbons Sulfur-containing Containing mercury Cyanide-containing waste Nitrite waste liquid Ammonia water Iodine-containing bromine waste Chlorine-containing waste liquid
Halogenated hydrocarbons 1 2 0 0 0 0 1 0
Sulfur-containing 2 1 0 1 1 1 1 1
Containing mercury 0 0 1 1 1 1 0 1
Cyanide-containing waste 0 1 1 1 1 1 0 1
Nitrite waste liquid 0 1 1 1 1 1 0 1
Ammonia water 0 1 1 1 1 1 0 1
Iodine-containing bromine waste 1 2 0 0 0 0 1 0
Chlorine-containing waste liquid 0 1 1 1 1 1 0 1
To ensure that incompatible waste materials do not enter the compatibility scheme at the same time, the compatibility rules, the pH of each waste material, the class of the waste material and the like are combined, the mutually incompatible waste materials are determined, and at least one compatibility matrix, such as a pH compatibility matrix or a class of waste materials compatibility matrix, is generated. The compatibility matrix is a diagonal matrix, the value of a diagonal element is used for judging whether each garbage material is selected to participate in the compatibility, 0 can be used for indicating that the garbage material is not selected to participate in the compatibility, 1 is used for indicating that the garbage material is selected to participate in the compatibility, and the compatibility matrix B is expressed as follows:
Figure BDA0003458780410000051
wherein b is i And (5) taking the value of the diagonal line element represented by the ith garbage material. For example, in one embodiment, 5 total waste materials participate in the compatibility, the waste material category of the first waste material is mercury-containing waste, the waste material category of the second waste material is halogenated hydrocarbon-containing waste, according to the compatibility rule table shown in table 3, the first waste material and the second waste material are incompatible waste materials, elements in other waste materials do not conflict, and can be incinerated together, so that the compatibility matrix has two selection schemes, and the specific scheme can be selected manually or systematically, and the two selection schemes are as follows:
Figure BDA0003458780410000061
or->
Figure BDA0003458780410000062
Wherein B is 1 For the first option, the first garbage material is not selected to participate in the compatibility, B 2 For the second alternative, this means that the second litter material was not selected to participate in the compatibility.
Furthermore, the warehousing time of mutually incompatible garbage materials can be obtained, and the values of diagonal elements of the compatibility matrix are determined according to the warehousing time so as to select which scheme to adopt, so that the garbage materials with early warehousing time are processed preferentially. For example, the time to warehouse the first mercury-containing waste and the second halocarbon-containing waste is obtained, and if the first mercury-containing waste is earlier than the second halocarbon-containing wastePreference is given to the first mercury-containing waste being involved in this compatibility, i.e. preference is given to B 2
In another embodiment, a total of 5 liquid garbage materials participate in the present compatibility, so as to obtain a pH value of each garbage material, if an acid or alkali is specified to be not capable of being simultaneously fed into the kiln, an acidic liquid may be selected to participate in the present compatibility or an alkaline liquid may be selected to participate in the present compatibility, for example, an acidic liquid is selected to participate in the present compatibility, so as to obtain a pH value of each garbage material, if the pH value is less than or equal to 7, a value of 1 is taken at a position corresponding to a diagonal element, if the pH is greater than 7, a value of 0 is taken at a position corresponding to a diagonal element, and values of other non-pH attributes are 1.
S3, combining the storage time and the compatibility matrix, and establishing a time function by taking the compatibility of the garbage materials as an optimization variable.
In order to increase the possibility that garbage materials with long warehouse-in time are selected to participate in compatibility, the embodiment of the application establishes a time function by combining the storage time and the compatibility matrix. Meanwhile, regarding the heat value function, the total mass function and the element limit value function, the embodiment of the application is also described in detail by adopting a mathematical model so as to more clearly describe the technical scheme of the embodiment of the application.
In a preferred embodiment, the compatibility model includes a time function, a heating value function, a total mass objective function, and an element limit function, wherein the element limit function includes a potassium-sodium limit objective function, a sulfur limit objective function, a phosphorus limit objective function, a chlorine limit objective function, a fluorine limit objective function, a sulfur-chlorine limit objective function, a halogen limit objective function, a heavy metal limit objective function, a mercury-arsenic limit objective function, a lead limit objective function, a moisture limit objective function, and a ash limit objective function.
The storage time of each garbage material is specifically expressed as follows:
T=[t 1 ,,t 2 ,,...,...,t n ];
the composition of the target material, namely the compatibility of the garbage material, is expressed as follows:
X=[x 1 ,x 2 ,......,x n ];
wherein x is i The compatibility of the ith garbage material is shown, i=1, 2, …, n.
The unit calorific value of the refuse material is expressed as:
Q=[q 1 ,q 2 ,......,q n ];
wherein q is i Representing the unit heating value of the ith refuse material.
The element content ratio of the garbage material is expressed as follows:
Figure BDA0003458780410000063
wherein:
A 1 represents the K content ratio, A 1 =[a 1,1 ,a 1,2 ,......,a 1,n ],a 1,i Representing the K content ratio of the ith refuse material.
A 2 Represents Na content ratio, A 2 =[a 2,1 ,a 2,2 ,......,a 2,n ],a 2,i The Na content ratio of the ith refuse material is shown.
A 3 Represents S content ratio, A 3 =[a 3,1 ,a 3,2 ,......,a 3,n ],a 3,i Representing the S content ratio of the ith refuse material.
A 4 Represents the P content ratio, A 4 =[a 4,1 ,a 4,2 ,......,a 4,n ],a 4,i Representing the P content ratio of the ith refuse material.
A 5 Represents the Cl content ratio, A 5 =[a 5,1 ,a 5,2 ,......,a 5,n ],a 5,i Represents the Cl content of the ith refuse material.
A 6 Represents F content ratio, A 6 =[a 6,1 ,a 6,2 ,......,a 6,n ],a 6,i Representing the F content ratio of the ith refuse material.
A 7 Represents the Br content ratio,A 7 =[a 7,1 ,a 7,2 ,......,a 7,n ],a 7,i Represents the Br content ratio of the ith refuse material.
A 8 Represents the content ratio of I, A 8 =[a 8,1 ,a 8,2 ,......,a 8,n ],a 8,i Indicating the I content ratio of the ith refuse material.
A 9 Represents the Zn content ratio, A 9 =[a 9,1 ,a 9,2 ,......,a 9,n ],a 9,i The Zn content ratio of the ith garbage material is shown.
A 10 Represents Pb content ratio, A 10 =[a 10,1 ,a 10,2 ,......,a 10,n ],a 10,i Indicating the Pb content of the ith refuse material.
A 11 Represents the Cr content ratio, A 11 =[a 11,1 ,a 11,2 ,......,a 11,n ],a 11,i Represents the Cr content ratio of the ith refuse material.
A 12 Represents Hg content ratio, A 12 =[a 12,1 ,a 12,2 ,......,a 12,n ],a 12,i Indicating the Hg content of the ith refuse material.
A 13 Represents the Cd content ratio, A 13 =[a 13,1 ,a 13,2 ,......,a 13,n ],a 13,i Represents the Cd content ratio of the ith refuse material.
A 14 Represents the As content ratio, A 14 =[a 14,1 ,a 14,2 ,......,a 14,n ],a 14,i Indicating the As content ratio of the ith refuse material.
A 15 Represents Cu content ratio, A 15 =[a 15,1 ,a 15,2 ,......,a 15,n ],a 15,i Representing the Cu content of the ith refuse material.
A 16 Represents the moisture content, A 16 =[a 16,1 ,a 16,2 ,......,a 16,n ],a 16,i Indicating the moisture content of the ith refuse material.
A 17 Indicating whether the ash melting point is lower than 600 ℃, A 17 =[a 17,1 ,a 17,2 ,......,a 17,n ],a 17,i The value is 0 or 1, which indicates whether the ash melting point of the ith garbage material is lower than the set value of 600 ℃, if the ash melting point is lower than 600 ℃, the value is 1, and if the ash melting point is higher than 600 ℃, the value is 0.
The heating value function is expressed as:
Figure BDA0003458780410000071
the total mass function is expressed as:
f 2 (x)=sum(B·X T );
the potassium-sodium-containing limit function, the sulfur-containing limit function, the phosphorus-containing limit function, the chlorine-containing limit function, the fluorine-containing limit function, the sulfur-chlorine limit function, the halogen-containing limit function, the heavy metal-containing limit function, the mercury-arsenic-containing limit function, the lead-containing limit function, the moisture-containing limit function and the ash-containing limit function in the element limit function are respectively expressed as:
Figure BDA0003458780410000072
Figure BDA0003458780410000073
Figure BDA0003458780410000074
Figure BDA0003458780410000081
Figure BDA0003458780410000082
Figure BDA0003458780410000083
Figure BDA0003458780410000084
Figure BDA0003458780410000085
Figure BDA0003458780410000086
Figure BDA0003458780410000087
Figure BDA0003458780410000088
Figure BDA0003458780410000089
the time function is expressed as:
f 15 (x)=T·B·X T
s4, generating an objective function and constructing a compatibility model according to the time function, the heat value function, the total mass function and at least one element limit function, and solving the compatibility model to determine the compatibility of each garbage material in the objective material, so as to obtain a current compatibility scheme.
The embodiment of the application adopts multiplication and division in multi-objective decision to establish an objective function, and establishes a compatibility optimization model according to the objective function, and specifically comprises the following steps:
s401, multiplying the time function, the heat value function and the total mass function to obtain a first multiplication function.
S402, multiplying by one element limit function or a plurality of element limit functions to obtain a second multiplying function.
S403, establishing an objective function by utilizing the ratio of the first proportional function to the second proportional function, and constructing a compatibility model by taking the maximum objective function as a target.
Illustratively, in connection with the preferred embodiment in step S3, the objective function employs the following mathematical model:
Figure BDA00034587804100000810
in order to ensure the safety and stability of incineration and the standard of smoke emission, the compatibility model of the embodiment of the application can further comprise a heat value constraint condition, a compatibility constraint quantity and an element limit constraint value.
S404, acquiring the temperature in the burning kiln, determining the recommended heat value of the compatible target material according to the temperature in the kiln, and generating a heat value constraint condition according to the recommended heat value and a heat value target function.
The heat value of the target material is the primary meeting condition, when the quality of the garbage material compatible with the kiln is kept at a certain level, the heat value of the target material is related to the temperature in the kiln, when the temperature is usually higher, the heat value of the compatibility should be reduced, and when the temperature in the kiln is lower, the heat value of the compatibility should be increased, for example, the normal temperature range of kiln incineration is 800-850 ℃, and the recommended heat value is 3500Kcal/kg. As shown in Table 5, the temperature T in the hearth is obtained by adopting a recommended heat value adjustment mode, and when the temperature T is between 800 and 850 ℃, the heat value of the compatible target material is recommended to be selected as Q Suggested calorific value If the temperature T is higher than 850 ℃, then at Q Suggested calorific value On the basis of (a), the higher the temperature, the more the decrease is. Similarly, if the temperature T is lower than 800 ℃, then the temperature is equal to Q Suggested calorific value On the basis of (a), the higher the temperature, the more the improvement. For example, when T is between 800 and 850 ℃, the recommended heating value Q of the target material is matched Suggested calorific value At 3500Kcal/kg, when T is between 865 and 880 ℃, a calorific value of 3500Kcal is recommended10% down-regulation on a per kg basis, 3150Kcal/kg. Other nonlinear adjustment modes can be selected in addition to the above modes, and the embodiments of the present application are not particularly limited.
After the recommended heat value is determined, the heat value range of the target material to be controlled is determined according to the preset allowable floating range, for example, the recommended heat value is 3150Kcal/kg, the allowable floating range based on the recommended heat value is + -15 Kcal/kg, and the heat value of the target material is controlled within 3135-3165 Kcal/kg.
Table 4 recommended heating value adjustment Range
Current furnace temperature (DEG C) Adjustment range DeltaQ
T>900 -20%
880<T≤900 -15%
865<T≤880 -10%
850<T≤865 -5%
800<T≤850 0%
780<T≤800 +5%
760<T≤780 +10%
750<T≤760 +15%
T≤750 +20%
S405, obtaining the allowable burning weight of the burning kiln, and generating a compatibility constraint condition according to the allowable burning weight and the total mass objective function.
The allowable incineration weight refers to the upper limit of the sum of the mass of the garbage materials which can be disposed of by each incineration kiln, so as to ensure that the target material weight of each compatibility scheme is within the allowable incineration weight range. The compatibility constraint condition comprises that the compatibility of each garbage material is greater than or equal to zero; the compatibility of each garbage material is smaller than or equal to the stock quantity of the garbage material; the sum of the compatibility amounts of the garbage materials participating in the compatibility is smaller than or equal to the allowable incineration weight of the incineration kiln.
S406, acquiring an element limit rule, and generating a corresponding element limit constraint condition according to the element limit rule and the element limit objective function.
The element limit rule is that in accordance with the compatibility requirement, in order to ensure that the element content in the fume does not exceed the emission index, the element content in the target material required to enter the kiln in the compatibility is smaller than a specified value. Referring to table 5, the element names and values in table 5 are element limit rule tables, and the element names and value ranges to be constrained are schematic values in the embodiment of the present application, and may be modified according to practical situations, where regarding the moisture requirement after mixing, the stable combustion of the garbage materials is ensured, and fuel is saved.
TABLE 5 element limit rule Table
Figure BDA0003458780410000091
/>
Figure BDA0003458780410000101
Determining element limit constraint conditions according to element limit rules and component content of each garbage material in attribute information, wherein the element limit constraint conditions comprise at least one of potassium content constraint conditions, sodium content constraint conditions, sulfur content constraint conditions, phosphorus content constraint conditions, chlorine content constraint conditions, fluorine content constraint conditions, bromine content constraint conditions, iodine content constraint conditions, zinc content constraint conditions, lead content constraint conditions, chromium content constraint conditions, mercury content constraint conditions, cadmium content constraint conditions, arsenic content constraint conditions, copper content constraint conditions, moisture constraint conditions and ash content constraint conditions according to practical conditions, and ash melting points are used for representing ash content in the garbage materials.
In addition, according to the limit requirements of the element combinations in the element limit rule table of table 5, the element limit constraint further includes at least one of a potassium-sodium-containing constraint, a sulfur-containing chlorine constraint, a halogen-containing constraint, a heavy metal-containing constraint, and a mercury-arsenic-containing constraint.
Illustratively, in connection with the preferred embodiment of step S3, the compatibility constraint may be expressed as:
Figure BDA0003458780410000102
f 2 (x)≤W threshold
in the method, in the process of the invention,
Figure BDA0003458780410000103
is the stock quantity of the ith garbage material, W threshold To allow for incineration of the weight.
The heating value constraint can be expressed as:
Figure BDA0003458780410000104
where Δq is the range in which floating is allowed on the basis of the proposed heating value.
The element limit constraint can be expressed as:
f 3 (x)≤KN threshold
f 4 (x)≤S threshold
f 5 (x)≤P threshold
f 6 (x)≤Cl threshold
f 7 (x)≤F threshold
f 8 (x)≤SCl threshold
f 9 (x) Halogen of less than or equal to threshold
f 10 (x) Heavy metal less than or equal to threshold
f 11 (x)≤H g A sthreshold
f 12 (x)≤Pb threshold
f 13 (x)≤M threshold
f 14 (x) Ash melting point less than or equal to threshold
Wherein, is threshold The threshold value for each element in the table 5 element limit rule table.
According to the objective function and the constraint conditions, a compatibility model is constructed, the compatibility of each garbage material is used as an optimization variable, the compatibility of each garbage material in the target material is calculated, the compatibility model can be solved by a planning method based on mathematics or a genetic algorithm, and the embodiment of the application is not limited to a specific solving method. In the solving process, presetting a convergence condition of the solving, outputting the optimized compatibility of each garbage material if the solving is completed within the convergence condition, and adjusting the compatibility scheme according to the current index condition if the optimal solution is not found within the convergence condition, wherein the current index condition comprises the current compatibility, the heat value after compatibility and the content of each element, and the compatibility scheme comprises adding fuel to meet the heat value and replacing the compatibility matrix. And finally, obtaining a current compatibility scheme according to the determined compatibility amount, wherein the compatibility scheme can also comprise the source of the selected garbage materials, the heat value of the matched target materials and the content of each element of the target materials.
According to the garbage material compatibility optimization method, at least one compatibility matrix is generated by acquiring a compatibility rule of the garbage material and attribute information affecting compatibility, current system time and warehousing time of each garbage material are acquired, storage time of each garbage material is determined according to the warehousing time and the current system time, the storage time and the compatibility matrix are combined, the compatibility of the garbage material is used as an optimization variable, a time function is established, an objective function is generated according to the time function, the heat value function, the total quality function and at least one element limit function, a compatibility model is constructed, and the compatibility model is solved to determine the compatibility amount of each garbage material in the objective material, so that a current compatibility scheme is obtained. Therefore, the embodiment of the application builds the time function and builds the objective function by combining the time function, so that when the compatibility scheme is determined, the possibility that the garbage materials with long storage time are selected to participate in the compatibility is increased, the garbage materials with long storage time are favorably treated in advance, and the potential safety hazard is reduced.
The above-described embodiments of the present application are not intended to limit the scope of the present application.

Claims (9)

1. A garbage material compatibility optimization method comprises the following steps: obtaining the unit heat value and the content of each component of each garbage material, and establishing a heat value function, a total mass function and an element limit function by taking the compatibility of the garbage materials as an optimization variable according to the unit heat value and the content of each component, wherein the heat value function is used for representing the unit heat value of the target material, the total mass function is used for representing the total mass of the target material, and the element limit function is used for representing the content of the corresponding element in the target material, and the garbage material processing method is characterized by further comprising:
acquiring current system time and warehousing time of each garbage material, and determining the storage time of each garbage material according to the warehousing time and the current system time;
acquiring a compatibility rule of the garbage material and attribute information influencing compatibility, determining mutually incompatible garbage materials according to the compatibility rule and the attribute information influencing the compatibility, and generating at least one compatibility matrix;
combining the storage time and the compatibility matrix, and establishing a time function by taking the compatibility of the garbage materials as an optimization variable;
multiplying the time function, the heat value function and the total mass function to obtain a first multiplication function; multiplying by one element limit function or a plurality of element limit functions to obtain a second multiplication function; establishing an objective function by utilizing the ratio of the first multiplication function to the second multiplication function, and constructing a compatibility model by taking the maximum objective function as a target;
and solving the compatibility model to determine the compatibility of each garbage material in the target material, thereby obtaining the current compatibility scheme.
2. The method for optimizing the compatibility of garbage materials according to claim 1, wherein the time function adopts the following mathematical model: T.B.X T Wherein T is [ T ] 1 ,t 2 ,…,t n ],t i Representing the storage time of the ith garbage material, B is a compatibility matrix, and X is [ X ] 1 ,x 2 ,…,x n ],x i The compatibility of the ith garbage material is shown, i=1, 2, …, n.
3. The method for optimizing the compatibility of garbage materials according to claim 1, wherein the compatibility matrix is a diagonal matrix, the diagonal elements in the diagonal matrix are used for judging whether each garbage material is selected to participate in the compatibility, and the compatibility matrix adopts the following model:
Figure FDA0004163304020000011
wherein b is i The diagonal element represented by the ith garbage material is valued, wherein a value of 0 indicates that the garbage material is not selected to participate in the compatibility, and a value of 1 indicates that the garbage material is selected to participate in the compatibility.
4. A method of optimizing the compatibility of waste materials as claimed in claim 3, wherein the attribute information affecting the compatibility includes pH and waste material type, and the compatibility matrix includes a pH compatibility matrix and a waste material type compatibility matrix.
5. The method for optimizing the compatibility of garbage materials according to claim 1, further comprising:
obtaining the allowable incineration weight of the incineration kiln, and generating a compatibility constraint condition according to the allowable incineration weight to construct a compatibility model, wherein the compatibility constraint condition is expressed as:
Figure FDA0004163304020000012
sum(B·X T )≤W threshold
wherein X is [ X ] 1 ,x 2 ,…,x n ],x i Represents the compatibility of the ith garbage material, i=1, 2, …, n,
Figure FDA0004163304020000013
is the stock quantity of the ith garbage material, B is a compatibility matrix, W threshold To allow for incineration of the weight.
6. The method for optimizing the compatibility of garbage materials according to claim 1, further comprising:
acquiring the temperature in the incinerator, determining a suggested heat value of a target material according to the temperature in the incinerator, and determining a heat value constraint condition according to the suggested heat value and the unit heat value of each garbage material, wherein the heat value constraint condition is expressed as:
Figure FDA0004163304020000021
wherein the unit heat value of each garbage material is Q= [ Q ] 1 ,q 2 ,......,q n ],q i The unit heat value of the ith garbage material is represented, delta q is the range allowed to float on the basis of the recommended heat value, B is a compatibility matrix, and X is the composition of the target material, namely the compatibility of the garbage material.
7. The method for optimizing the compatibility of garbage materials according to claim 1, further comprising:
obtaining an element limit rule, and determining an element limit constraint condition according to the element limit rule and the content of each component of each garbage material to construct a compatibility model, wherein the element limit constraint condition comprises at least one of a potassium-containing rate constraint condition, a sodium-containing rate constraint condition, a sulfur-containing rate constraint condition, a phosphorus-containing rate constraint condition, a chlorine-containing rate constraint condition, a fluorine-containing rate constraint condition, a bromine-containing rate constraint condition, an iodine-containing rate constraint condition, a zinc-containing rate constraint condition, a lead-containing rate constraint condition, a chromium-containing rate constraint condition, a mercury-containing rate constraint condition, a cadmium-containing rate constraint condition, an arsenic-containing rate constraint condition, a copper-containing rate constraint condition, a moisture-containing constraint condition, a ash-containing constraint condition, a potassium-sodium-containing constraint condition, a sulfur-containing chlorine constraint condition, a halogen-containing constraint condition, a heavy metal-containing constraint condition and a mercury-containing arsenic constraint condition.
8. The method for optimizing the compatibility of garbage materials according to claim 1, wherein the solving the compatibility model to determine the compatibility of each garbage material in the target material, to obtain the current compatibility scheme, comprises:
solving the compatibility model by using a planning method based on mathematics or a genetic algorithm;
presetting a convergence condition of solving, and outputting a current compatibility scheme if the solving is completed within the convergence condition;
if the optimal solution is not found in the convergence condition, adjusting the compatibility scheme according to the current index condition, wherein the current index condition comprises the weight of the current compatibility, the heat value after the compatibility and the content of each element, and the compatibility scheme comprises adding fuel to meet the heat value and replacing the compatibility matrix.
9. The method for optimizing the compatibility of garbage materials according to claim 1, further comprising: and acquiring flash points, ash melting points and moisture in the attribute information of each rubbish material, judging the attribute information of the rubbish material and the corresponding preset threshold value, and deleting the data of the corresponding rubbish material if a certain attribute is not in accordance with the condition so that the rubbish material does not participate in the compatibility.
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