CN113077104A - Hazardous waste incineration compatibility method and device, storage medium and electronic equipment - Google Patents
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Abstract
The disclosure relates to the field of hazardous waste treatment, in particular to a hazardous waste incineration compatibility method, a hazardous waste incineration compatibility device, a storage medium and electronic equipment. The hazardous waste incineration compatibility method comprises the following steps: determining target hazardous wastes from the various hazardous wastes based on the compatibility requirement information; establishing a first objective function with the maximum treatment quantity of the target dangerous waste as a target, and establishing a second objective function with the maximum comprehensive treatment income of each dangerous waste as a target; constructing a multi-target compatibility model according to the first target function and the second target function; analyzing the multi-target compatibility model to determine the disposal quantity of each hazardous waste, and carrying out incineration compatibility according to the disposal quantity of each hazardous waste. The hazardous waste incineration compatibility method provided by the disclosure can solve the problem of simultaneous optimal hazardous waste incineration compatibility of the disposal quantity of specific hazardous waste and the economic benefit of enterprise disposal.
Description
Technical Field
The disclosure relates to the field of hazardous waste treatment, in particular to a hazardous waste incineration compatibility method, a hazardous waste incineration compatibility device, a storage medium and electronic equipment.
Background
The compatibility is necessary operation before dangerous waste enters the incineration system, and effective fusion of combustion characteristics of different materials is realized through a reasonable compatibility scheme, so that the method has important significance on continuous, stable and economic operation of the incineration system. Because of the special properties of strong corrosion, toxicity, flammability and infection, some hazardous wastes are difficult to store for a long time and must be disposed of in time.
At present, researches on compatibility methods of hazardous waste incineration disposal mainly relate to optimization of a single-target model, or simultaneous optimization of comprehensive disposal quantity and economic benefit of a system, and the situation that when specific hazardous waste is specified, the specific hazardous waste disposal quantity and the economic benefit of an enterprise reach the optimum simultaneously is not considered. In addition, the research on the solution algorithm of the compatibility model still has certain limitations, and good precision cannot be obtained under certain specific conditions.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The disclosure aims to provide a hazardous waste incineration compatibility method, a hazardous waste incineration compatibility device, a storage medium and electronic equipment, and aims to solve the problem of compatibility of hazardous waste incineration with optimal hazardous waste incineration simultaneously on the basis of the disposal quantity of specific hazardous waste and the economic benefit of enterprise disposal.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.
According to an aspect of the disclosed embodiments, a hazardous waste incineration compatibility method is provided, which includes: determining target hazardous wastes from the various hazardous wastes based on the compatibility requirement information; establishing a first objective function with the maximum treatment quantity of the target dangerous waste as a target, and establishing a second objective function with the maximum comprehensive treatment income of each dangerous waste as a target; constructing a multi-target compatibility model according to the first target function and the second target function; analyzing the multi-target compatibility model to determine the disposal quantity of each hazardous waste, and carrying out incineration compatibility according to the disposal quantity of each hazardous waste.
According to some embodiments of the present disclosure, based on the foregoing scheme, the establishing a second objective function with a maximum comprehensive disposal yield of each hazardous waste as a target includes: acquiring unit disposal income of each hazardous waste; and establishing the second objective function according to the maximum sum of the products of the unit treatment yield and the treatment amount of each dangerous waste.
According to some embodiments of the present disclosure, based on the foregoing solution, the method further comprises: acquiring an index value of each hazardous waste incineration index, and acquiring a treatment lower limit and a treatment upper limit of the incineration index in an incineration system; and establishing constraint conditions based on the index values, the lower disposal limit, the upper disposal limit and the inventory of each hazardous waste so as to construct the multi-target compatibility model.
According to some embodiments of the present disclosure, based on the foregoing scheme, the establishing a constraint condition based on the index value, the lower disposal limit, the upper disposal limit, and the inventory amount of each hazardous waste includes: the sum of products of index values of the dangerous wastes corresponding to the incineration index and the treatment amount is not less than the lower treatment limit corresponding to the incineration index; the sum of products of index values of the dangerous wastes corresponding to the incineration index and the treatment amount is not more than the treatment upper limit corresponding to the incineration index; the disposal quantity of each hazardous waste is not more than the stock quantity thereof; and the disposal quantity of each hazardous waste is not less than zero.
According to some embodiments of the present disclosure, based on the foregoing scheme, the analyzing the multi-objective compatibility model to determine the disposal quantity of each hazardous waste includes: converting the first objective function and the second objective function into a single objective function; updating the constraint conditions of the multi-target compatibility model according to the single target function to obtain the constraint conditions of the single target function; and optimizing the single objective function under the constraint condition of the single objective function to determine the disposal quantity of each hazardous waste.
According to some embodiments of the present disclosure, based on the foregoing scheme, the converting the first objective function and the second objective function into a single objective function includes: converting the first objective function and the second objective function into the single objective function based on a maximum minimization principle; or respectively configuring ideal values of the first objective function and the second objective function so as to obtain the single objective function according to the ideal values.
According to some embodiments of the disclosure, based on the foregoing, the incineration index includes: one or more of the component content, the incineration calorific value, the unit incineration amount, the unit disposal cost and the unit disposal income of the hazardous waste.
According to a second aspect of the embodiments of the present disclosure, there is provided a hazardous waste incineration compatibility device, including: the acquisition module is used for determining target hazardous wastes from the various hazardous wastes based on the compatibility requirement information; the objective function module is used for establishing a first objective function with the maximum treatment quantity of the target dangerous waste as a target and establishing a second objective function with the maximum comprehensive treatment income of each dangerous waste as a target; the model building module is used for building a multi-target compatibility model according to the first target function and the second target function; and the model analysis module is used for analyzing the multi-target compatibility model to determine the handling capacity of each hazardous waste and carrying out incineration compatibility according to the handling capacity of each hazardous waste.
According to a third aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements a hazardous waste incineration compatibility method as in the above embodiments.
According to a fourth aspect of the embodiments of the present disclosure, there is provided an electronic apparatus, including: one or more processors; a storage device for storing one or more programs, which when executed by the one or more processors, cause the one or more processors to implement the hazardous waste incineration compatibility method as in the above embodiments.
Exemplary embodiments of the present disclosure may have some or all of the following benefits:
in the technical solutions provided by some embodiments of the present disclosure, on one hand, after determining target hazardous wastes, a multi-target compatibility model is constructed based on the target hazardous wastes, so that the problem of calculating the incineration compatibility of each hazardous waste on the premise of specifying the hazardous wastes can be solved; on the other hand, the maximum treatment amount of the target dangerous waste and the maximum comprehensive treatment yield of each dangerous waste are used as the multi-objective function, so that the treatment amount of the target dangerous waste and the economic benefits of dangerous waste treatment can be considered simultaneously, and compared with a compatibility model of single-objective optimization, the optimization effect is better.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty. In the drawings:
FIG. 1 is a schematic flow diagram illustrating a hazardous waste incineration compatibility method according to an exemplary embodiment of the disclosure;
FIG. 2 is a schematic diagram illustrating the composition of a hazardous waste incineration compatibility apparatus according to an exemplary embodiment of the disclosure;
FIG. 3 schematically illustrates a schematic diagram of a computer-readable storage medium in an exemplary embodiment of the disclosure;
fig. 4 schematically shows a structural diagram of a computer system of an electronic device in an exemplary embodiment of the disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
Implementation details of the technical solution of the embodiments of the present disclosure are set forth in detail below.
Fig. 1 schematically shows a flow chart of a hazardous waste incineration compatibility method in an exemplary embodiment of the disclosure. As shown in fig. 1, the hazardous waste incineration compatibility method includes steps S11 to S14:
step S11, determining target dangerous waste from the various dangerous wastes based on the compatibility requirement information;
step S12, establishing a first objective function with the maximum disposal quantity of the target dangerous waste as a target, and establishing a second objective function with the maximum comprehensive disposal income of each dangerous waste as a target;
step S13, constructing a multi-target compatibility model according to the first target function and the second target function;
and step S14, analyzing the multi-target compatibility model to determine the disposal quantity of each hazardous waste, and carrying out incineration compatibility according to the disposal quantity of each hazardous waste.
In the technical solutions provided by some embodiments of the present disclosure, on one hand, after determining target hazardous wastes, a multi-target compatibility model is constructed based on the target hazardous wastes, so that the problem of calculating the incineration compatibility of each hazardous waste on the premise of specifying the hazardous wastes can be solved; on the other hand, the maximum treatment amount of the target dangerous waste and the maximum comprehensive treatment yield of each dangerous waste are used as the multi-objective function, so that the economic benefits of the target dangerous waste treatment amount and the dangerous waste treatment can be considered simultaneously, and the optimization effect is better compared with a single-target optimized compatibility model.
The compatibility is necessary operation before dangerous waste enters the incineration system, and effective fusion of combustion characteristics of different materials is realized through a reasonable compatibility scheme, so that the method has important significance on continuous, stable and economic operation of the incineration system. At present, the research on the compatibility method of hazardous waste incineration disposal mainly relates to the optimization of a single-target model, or the simultaneous optimization of comprehensive disposal capacity and economic benefit of a system.
Supposing that in a certain hazardous waste treatment plant, n types of hazardous wastes which need to be incinerated at present are provided, but due to the special characteristics of strong corrosion, toxicity, flammability, infection and the like of the kth hazardous waste, the kth hazardous waste needs to be treated in time, the requirement is that not only the optimal treatment amount of the specific hazardous waste needs to be ensured, but also the optimal economic benefit of an enterprise needs to be considered, and the optimal compatibility scheme of considering the optimal treatment amount of the specific hazardous waste and the optimal economic benefit is automatically given through the calculation of a computer program.
Because some hazardous wastes are special in strong corrosion, toxicity, flammability, infection and the like, the hazardous wastes are often difficult to store for a long time and need to be treated in time, and the situation that when specific hazardous wastes are designated, the treatment amount of the specific hazardous wastes and the economic benefit of an enterprise reach the optimal simultaneously is lacked in the prior art.
Therefore, the present disclosure provides a hazardous waste incineration compatibility method, which guarantees that the specific hazardous waste disposal amount and the economic benefit of an enterprise reach an optimal state simultaneously under the condition that the specific hazardous waste is specified based on two optimal objective functions of the specific hazardous waste disposal amount and the economic benefit of the enterprise, and further solves the problem of hazardous waste incineration compatibility that the disposal amount of the specific hazardous waste and the economic benefit of the enterprise are optimal simultaneously.
Hereinafter, the steps of the hazardous waste incineration compatibility method in the exemplary embodiment will be described in more detail with reference to the drawings and examples.
In step S11, a target hazardous waste is determined from the plurality of hazardous wastes based on the compatibility requirement information.
In one embodiment of the present disclosure, due to the special nature of certain hazardous wastes, such as strong corrosion, toxicity, flammability, and infection, which are often difficult to store for a long period of time and must be disposed of in a timely manner, it is necessary to give priority to the targeted hazardous wastes.
Target hazardous wastes can be selected from various hazardous wastes based on the compatibility requirement information. It should be noted that the type of the target hazardous waste may be one, or may be multiple, and the amount of the target hazardous waste is not specifically limited in this disclosure.
In one embodiment of the present disclosure, before step S12, each variable is first represented.
Assuming that there are n kinds of dangerous wastesThe material enters an incineration system for cooperative treatment, and x is setjConstructing a handling capacity index matrix of each dangerous waste for the handling capacity of the jth dangerous waste (j is more than or equal to 1 and less than or equal to n, and j is an integer): x ═ x1,x2,…,xn]T。
In addition, it is necessary to determine incineration indexes affecting incineration of hazardous wastes. The incineration index may be determined according to factors affecting incineration of hazardous waste, and may be configured, for example, with reference to parameters of incineration of hazardous waste or conditions that the incineration system needs to limit. The method mainly comprises the following steps: one or more of the component content of the hazardous waste, the incineration calorific value, the unit incineration amount, the unit disposal cost and the unit disposal income.
The component content of the hazardous waste can influence the incineration of the hazardous waste. The chemical components contained in the general dangerous waste comprise organic carbon content, inorganic carbon content, H content, O content, N content, P content, S content, Cl content, F content, heavy metal content, alkali metal content, H2O content and the like. Therefore, the contents of these components can be used as an index of incineration.
The incineration heat value refers to the heat value generated by the hazardous wastes, and in order to ensure the condition of integral stability of the incinerator, the sum of the incineration heat values of all the hazardous wastes cannot exceed the upper limit of the heat value born by the incinerator. In the present disclosure, the lower calorific value, which is the calorific value per unit of fresh garbage when burning, also called effective calorific value or net calorific value, in kcal/kg, may be used as a calculation standard of the calorific value.
Because the dangerous waste is put in the temporary storage and is stored according to the tray, the weight of the dangerous waste of one tray is marked as unit dangerous waste so as to facilitate subsequent calculation.
The unit disposal cost and the unit disposal income are the cost and the income brought by disposing the hazardous waste incineration, and RMB yuan can be adopted as the unit for the unified standard.
For convenience of description, in the present embodiment, the index value of the m-th incineration index of the jth (1 ≦ j ≦ n, and j is an integer) hazardous waste is represented as am,j. Based on the above description, 16 incineration indexes, respectively expressed as:
a1,jis shown asOrganic carbon content of j hazardous wastes;
a2,jrepresents the inorganic carbon content of the j-th dangerous waste;
a3,jrepresents the H (hydrogen) content of the j-th dangerous waste;
a4,jrepresents the O (oxygen) content of the jth dangerous waste;
a5,jrepresents the N (nitrogen) content of the jth dangerous waste;
a6,jrepresents the P (phosphorus) content of the jth dangerous waste;
a7,jrepresents the S (sulfur) content of the jth dangerous waste;
a8,jrepresents the Cl (chlorine) content of the jth dangerous waste;
a9,jrepresents the F (fluorine) content of the jth dangerous waste;
a10,jrepresenting the heavy metal content of the jth dangerous waste;
a11,jrepresenting the alkali metal content of the j-th dangerous waste;
a12,jh representing the jth hazardous waste2O (water) content;
a13,jrepresenting the incineration calorific value of the j-th dangerous waste;
a14,jexpressing the unit incineration amount of the jth dangerous waste;
a15,jrepresents the unit disposal cost of the jth hazardous waste;
a16,jrepresenting the unit disposal income of the jth hazardous waste;
the incineration index matrix is constructed based on each incineration index as follows:
in one embodiment of the present disclosure, b is usediAnd ciRespectively represents the lower limit value and the upper limit value of the treatment capacity of the ith (i is more than or equal to 1 and less than or equal to 16 and i is an integer) item in the incineration system. Constructing a disposal lower limit matrix and a disposal upper limit matrix based on the method respectively comprises the following steps:
b＝[b1,b2,…,b16]T
c＝[c1,c2,…,c16]T
in one embodiment of the present disclosure, d is usedjExpressing the inventory of the jth dangerous waste, and constructing an inventory index matrix as follows:
d＝[d1,d2,…,dn]T
in step S12, a first objective function is established with the maximum disposal quantity of the target hazardous waste as a target, and a second objective function is established with the maximum comprehensive disposal profit of each hazardous waste as a target.
In an embodiment of the present disclosure, taking the target hazardous waste as the kth hazardous waste as an example, the disposal quantity of the target hazardous waste is xkThen, establishing a first objective function with the maximum treatment amount of the target hazardous waste as a target as follows:
f(x1)＝max xk
in an embodiment of the present disclosure, the establishing a second objective function with a maximum comprehensive disposal yield of each hazardous waste as a target includes: acquiring unit disposal income of each hazardous waste; and establishing the second objective function according to the maximum sum of the products of the unit treatment yield and the treatment amount of each dangerous waste.
Specifically, the comprehensive disposal yield of each hazardous waste is a product of the unit disposal yield and the disposal amount, and in order to maximize the comprehensive disposal yield, the sum of the disposal yields of each hazardous waste needs to be maximized.
Wherein the unit disposal yield of each hazardous waste is a known quantity, i.e. the incineration index a16,j(j is more than or equal to 1 and less than or equal to n, and j is an integer); the disposal quantity of each dangerous waste is a set model variable, and x is ═ x1,x2,…,xn]T。
Therefore, a second objective function is established with the maximum comprehensive treatment yield of each dangerous waste as an objective:
f(x2)＝max a16:·x＝max(a16，1·x1+a16，2·x2+...+a16,n·xn)
wherein, a16:＝[a16，1,a16，2,...,a16，n]And represents the element in the 16 th row in the incineration index matrix a.
In step S13, a multi-objective compatibility model is constructed according to the first objective function and the second objective function.
In one embodiment of the present disclosure, after the objective function of the multi-objective compatibility model is constructed, the constraint condition of the multi-objective compatibility model also needs to be constructed. Specifically, the method further comprises: acquiring an index value of each hazardous waste incineration index, and acquiring a treatment lower limit and a treatment upper limit of the incineration index in an incineration system; and establishing constraint conditions based on the index values, the lower disposal limit, the upper disposal limit and the inventory of each hazardous waste so as to construct the multi-target compatibility model.
Specifically, a lower limit b of disposal corresponding to each incineration index in the incineration system is acquirediAnd an upper limit of treatment ciIf the lower limit value does not exist, bi is ═ infinity, and if the upper limit value does not exist, ci is ═ infinity. Meanwhile, the stock d of dangerous waste is obtainedj。
In one embodiment of the present disclosure, the establishing a constraint condition based on the index value, the lower disposal limit, the upper disposal limit, and the inventory amount of each hazardous waste includes:
the sum of the products of the index values of the dangerous wastes corresponding to the incineration indexes and the treatment amount is not less than the lower treatment limit corresponding to the incineration indexes, namely Ax is not less than b; the sum of the products of the index values of the dangerous wastes corresponding to the incineration indexes and the treatment amount is not more than the treatment upper limit corresponding to the incineration indexes, namely Ax is not more than c; the disposal quantity of each hazardous waste is not more than the stock quantity thereof, namely x is not more than d; the storage quantity of each waste does not have a negative value, so the disposal quantity of each dangerous waste is not less than zero, xjIf the number is a non-negative number greater than or equal to zero, x is greater than or equal to 0.
Based on the method, a multi-target compatibility model with optimal comprehensive disposal quantity and comprehensive disposal income of the incineration system is established by combining a target function and constraint conditions as follows:
max xk
max a16:·x
s.t.Ax≥b
Ax≤c
x≤d
x≥0
wherein x iskRepresenting the disposal quantity of the kth target hazardous waste; a is16:Elements representing the 16 th row in the incineration index matrix a; x represents a treatment amount index matrix; a represents an incineration index matrix; b represents a disposal lower limit matrix corresponding to the incineration index; c represents a disposal upper limit matrix corresponding to the incineration index; d represents the inventory index matrix.
In step S14, the multi-objective compatibility model is analyzed to determine the disposal quantity of each hazardous waste, and incineration compatibility is performed according to the disposal quantity of each hazardous waste.
In one embodiment of the present disclosure, the analyzing the multi-objective compatibility model to determine the disposal quantity of each hazardous waste includes:
step S141, converting the first objective function and the second objective function into a single objective function;
step S142, updating the constraint condition of the multi-target compatibility model according to the single target function to obtain the constraint condition of the single target function;
and S143, optimizing the single objective function under the constraint condition of the single objective function to determine the disposal quantity of each hazardous waste.
In particular, Multiobjective Optimization (MOP) is an important branch of mathematical programming, which is an optimization problem of more than one numerical objective function over a given area. The multi-objective optimization method is essentially characterized in that each branch objective function of the multi-objective optimization is converted into a single objective function through processing or mathematical transformation, and then the single objective optimization technology is adopted for solving.
At present, the solution of the multi-objective function mainly comprises the following methods:
(1) and (4) evaluating a function method. The common methods are as follows: linear weighted sum method, maximum minimum method, ideal point method. The essence of the evaluation function method is to convert multiple targets into single targets by constructing an evaluation function expression.
(2) And (4) interactive planning method. The expression of the evaluation function is not directly used, but a decision maker participates in the solving process, the proceeding process of optimization is controlled, and the analysis and the decision are alternately performed. Common methods include a gradual tolerance method, a trade-off ratio substitution method, a primary and secondary linear weighting sum method and the like.
(3) And (5) solving in a layered mode. And sequencing according to the mechanical energy of the importance degree of the objective function, and then sequentially carrying out optimization solution on the single objective according to the sequencing, so that the finally obtained solution is used as the optimal solution of the multi-objective optimization. These are mainly performed by algorithms such as multi-objective evolutionary algorithm, multi-objective particle swarm algorithm, and the like.
In an embodiment of the present disclosure, taking an evaluation function method as an example to solve a multi-objective function, for step S141, the converting the first objective function and the second objective function into a single objective function includes: converting the first objective function and the second objective function into the single objective function based on a maximum minimization principle; or respectively configuring ideal values of the first objective function and the second objective function so as to obtain the single objective function according to the ideal values.
The first is the Max-Min method. Decision makers often consider how to seek the most favorable policy under the most unfavorable conditions when making decisions. Inspired by this idea, for maximization of f (x)1)＝max xkAnd f (x)2)＝min am:X, first construct the worst case of the target model, i.e., y1＝max{-xk，-a16,:·x}。
On the basis, a conservative strategy is adopted in decision making, namely, in the worst case, the best result is sought, and a new single-target model is constructed as follows:
minmax{-xk，-a16,:·x}
s.t.Ax-xb＝b
Ax+xc＝c
x+xd＝d
x≥0
the single target model described above is equivalent to:
min y1
s.t.{-xk，-a16,:·x}≤y1
Ax-xb＝b
Ax+xc＝c
x+xd＝d
x≥0
the second is the ideal point method. For multi-objective planning, a decision maker implements a method of giving a target value, called an ideal value, to each target, appropriately introducing a certain mode into the target space size, and seeking a minimum distance between an objective function and an ideal point in consideration of the mode. The ideal value can be configured according to the specific situation of the incineration system and can be realized by the prior art, and the disclosure is not repeated herein.
After the multi-objective model is converted into a single-objective model, it can be solved using a conventional single-objective planning model. The process of solving the model can be realized through computer programming of an intelligent compatibility algorithm, so that the repetitive workload of related technicians is greatly reduced, the technical standard of the related technicians is reduced, and the intelligent construction of hazardous waste incineration disposal is promoted.
Based on the method, the specific hazardous waste disposal quantity and the enterprise economic benefit can be ensured to simultaneously reach the optimal state under the condition of specifying the specific hazardous waste by establishing a multi-objective compatibility model and based on two optimal objective functions of the specific hazardous waste disposal quantity and the enterprise economic benefit. Meanwhile, by adopting a maximum and minimum solving algorithm, the economic benefit of an enterprise is ensured while the incineration disposal system disposes specific hazardous wastes with maximum capacity.
Fig. 2 schematically illustrates a composition diagram of a hazardous waste incineration compatibility apparatus in an exemplary embodiment of the disclosure, and as shown in fig. 2, the hazardous waste incineration compatibility apparatus 200 may include an obtaining module 201, an objective function module 202, a model building module 203, and a model parsing module 204. Wherein:
the acquisition module 201 is used for determining target hazardous wastes from the multiple hazardous wastes based on the compatibility requirement information;
an objective function module 202, configured to establish a first objective function with a maximum disposal quantity of the target hazardous wastes as an objective, and establish a second objective function with a maximum comprehensive disposal profit of each of the hazardous wastes as an objective;
the model building module 203 is used for building a multi-target compatibility model according to the first target function and the second target function;
and the model analysis module 204 is used for analyzing the multi-target compatibility model to determine the disposal quantity of each hazardous waste, and carrying out incineration compatibility according to the disposal quantity of each hazardous waste.
According to an exemplary embodiment of the present disclosure, the objective function module 202 includes a second unit (not shown in the figure) for obtaining a unit disposal benefit of each of the hazardous wastes; and establishing the second objective function according to the maximum sum of the products of the unit treatment yield and the treatment amount of each dangerous waste.
According to an exemplary embodiment of the present disclosure, the hazardous waste incineration compatibility device 200 may further include a constraint condition module (not shown in the figure) for obtaining an index value of each hazardous waste incineration index, and obtaining a lower disposal limit and an upper disposal limit of the incineration index in the incineration system; and establishing constraint conditions based on the index values, the lower disposal limit, the upper disposal limit and the inventory of each hazardous waste so as to construct the multi-target compatibility model.
According to an exemplary embodiment of the present disclosure, the establishing of the constraint condition based on the index value, the lower disposal limit, the upper disposal limit, and the inventory amount of each of the hazardous wastes includes that a sum of products of the index value and the disposal amount of each of the hazardous wastes corresponding to the incineration index is not less than the lower disposal limit corresponding to the incineration index; the sum of products of index values of the dangerous wastes corresponding to the incineration index and the treatment amount is not more than the treatment upper limit corresponding to the incineration index; the disposal quantity of each hazardous waste is not more than the stock quantity thereof; and the disposal quantity of each hazardous waste is not less than zero.
According to an exemplary embodiment of the present disclosure, the model parsing module 204 may include a conversion unit, an updating unit, and a solving unit (not shown in the figure), the conversion unit being configured to convert the first objective function and the second objective function into a single objective function; the updating unit is used for updating the constraint condition of the multi-target compatibility model according to the single target function to obtain the constraint condition of the single target function; the solving unit is used for optimizing the single objective function under the constraint condition of the single objective function so as to determine the disposal quantity of each hazardous waste.
According to an exemplary embodiment of the present disclosure, the conversion unit may be configured to convert the first objective function and the second objective function into the single objective function based on a maximum minimization principle; or respectively configuring ideal values of the first objective function and the second objective function so as to obtain the single objective function according to the ideal values.
According to an exemplary embodiment of the present disclosure, the incineration index includes: one or more of the component content, the incineration calorific value, the unit incineration amount, the unit disposal cost and the unit disposal income of the hazardous waste.
The details of each module in the hazardous waste incineration compatibility apparatus 200 are described in detail in the corresponding hazardous waste incineration compatibility method, and therefore are not described herein again.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
In an exemplary embodiment of the present disclosure, there is also provided a storage medium capable of implementing the above-described method. Fig. 3 schematically illustrates a schematic diagram of a computer-readable storage medium in an exemplary embodiment of the disclosure, and as shown in fig. 3, a program product 300 for implementing the above method according to an embodiment of the disclosure is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a mobile phone. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided. Fig. 4 schematically shows a structural diagram of a computer system of an electronic device in an exemplary embodiment of the disclosure.
It should be noted that the computer system 400 of the electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of the application of the embodiments of the present disclosure.
As shown in fig. 4, the computer system 400 includes a Central Processing Unit (CPU)401 that can perform various appropriate actions and processes according to a program stored in a Read-Only Memory (ROM) 402 or a program loaded from a storage section 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for system operation are also stored. The CPU 401, ROM402, and RAM 403 are connected to each other via a bus 404. An Input/Output (I/O) interface 405 is also connected to the bus 404.
The following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output section 407 including a Display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage section 408 including a hard disk and the like; and a communication section 409 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. A driver 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 410 as necessary, so that a computer program read out therefrom is mounted into the storage section 408 as necessary.
In particular, the processes described below with reference to the flowcharts may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 409, and/or installed from the removable medium 411. The computer program executes various functions defined in the system of the present disclosure when executed by a Central Processing Unit (CPU) 401.
It should be noted that the computer readable medium shown in the embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer-readable signal medium may include a propagated data signal with computer-readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.
As another aspect, the present disclosure also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to implement the method described in the above embodiments.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A hazardous waste incineration compatibility method is characterized by comprising the following steps:
determining target hazardous wastes from the various hazardous wastes based on the compatibility requirement information;
establishing a first objective function with the maximum treatment quantity of the target dangerous waste as a target, and establishing a second objective function with the maximum comprehensive treatment income of each dangerous waste as a target;
constructing a multi-target compatibility model according to the first target function and the second target function;
analyzing the multi-target compatibility model to determine the disposal quantity of each hazardous waste, and carrying out incineration compatibility according to the disposal quantity of each hazardous waste.
2. The hazardous waste incineration compatibility method according to claim 1, wherein the establishing of the second objective function with the maximum comprehensive disposal yield of each hazardous waste as a target comprises:
acquiring unit disposal income of each hazardous waste;
and establishing the second objective function according to the maximum sum of the products of the unit treatment yield and the treatment amount of each dangerous waste.
3. The hazardous waste incineration compatibility method according to claim 1, further comprising:
acquiring an index value of each hazardous waste incineration index, and acquiring a treatment lower limit and a treatment upper limit of the incineration index in an incineration system;
and establishing constraint conditions based on the index values, the lower disposal limit, the upper disposal limit and the inventory of each hazardous waste so as to construct the multi-target compatibility model.
4. The hazardous waste incineration compatibility method according to claim 3, wherein the establishing of the constraint condition based on the index value, the lower disposal limit, the upper disposal limit, and the inventory amount of each hazardous waste comprises:
the sum of products of index values of the dangerous wastes corresponding to the incineration index and the treatment amount is not less than the lower treatment limit corresponding to the incineration index;
the sum of products of index values of the dangerous wastes corresponding to the incineration index and the treatment amount is not more than the treatment upper limit corresponding to the incineration index;
the disposal quantity of each hazardous waste is not more than the stock quantity thereof; and
the disposal quantity of each hazardous waste is not less than zero.
5. The hazardous waste incineration compatibility method according to claim 1, wherein the analyzing the multi-objective compatibility model to determine the disposal quantity of each hazardous waste comprises:
converting the first objective function and the second objective function into a single objective function;
updating the constraint conditions of the multi-target compatibility model according to the single target function to obtain the constraint conditions of the single target function;
and optimizing the single objective function under the constraint condition of the single objective function to determine the disposal quantity of each hazardous waste.
6. The hazardous waste incineration compatibility method according to claim 5, wherein the converting the first objective function and the second objective function into a single objective function comprises:
converting the first objective function and the second objective function into the single objective function based on a maximum minimization principle; or
And respectively configuring ideal values of the first objective function and the second objective function so as to obtain the single objective function according to the ideal values.
7. The hazardous waste incineration compatibility method according to claim 3, wherein the incineration indexes comprise: one or more of the component content, the incineration calorific value, the unit incineration amount, the unit disposal cost and the unit disposal income of the hazardous waste.
8. The utility model provides a useless incineration of danger compatibles device which characterized in that includes:
the acquisition module is used for determining target hazardous wastes from the various hazardous wastes based on the compatibility requirement information;
the objective function module is used for establishing a first objective function with the maximum treatment quantity of the target dangerous waste as a target and establishing a second objective function with the maximum comprehensive treatment income of each dangerous waste as a target;
the model building module is used for building a multi-target compatibility model according to the first target function and the second target function;
and the model analysis module is used for analyzing the multi-target compatibility model to determine the handling capacity of each hazardous waste and carrying out incineration compatibility according to the handling capacity of each hazardous waste.
9. A computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the hazardous waste incineration compatibility method of any one of claims 1 to 7.
10. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the hazardous waste incineration compatibility method of any one of claims 1 to 7.
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