Quantitative distribution method and system for multi-source solid waste disposal, medium and electronic equipment

Abstract

The invention provides a multi-source solid waste disposal quantitative distribution method and system, a medium and electronic equipment. The method comprises the following steps: obtaining a solid waste disposal mode and each solid waste disposal decision target index; calculating to obtain a corresponding objective function based on the solid waste disposal mode in combination with each solid waste disposal decision objective index; and based on a preset constraint condition, constraining the target function, and obtaining a target distribution scheme according to the quantitative distribution scheme corresponding to the minimum solving target of the target function. And completing quantitative distribution operation of multi-source solid waste disposal based on the target distribution scheme. According to the multi-source solid waste disposal quantitative distribution method and system, the medium and the electronic equipment, the solid waste disposal quantitative distribution scheme meeting the requirement can be rapidly calculated, and the solid waste disposal related personnel are guided to carry out solid waste disposal work through three distribution schemes with the lowest carbon, the most economic and the simultaneous relatively good carbon emission and economic cost, so that the working efficiency is improved. The ecological environment is protected, and the production cost is saved.

Description

Technical Field

[0001] The present invention belongs to the technical field of solid waste disposal, and in particular relates to a quantitative allocation method, system, medium and electronic equipment for multi-source solid waste disposal. Background Art

[0002] Solid waste planning usually involves multi-objective optimization, which requires comprehensive judgment based on natural, social, environmental, economic and other conditions and goals. There may be contradictions and conflicts between different goals, which increases the difficulty of decision-making.

[0003] At present, the decision-making of such complex problems often adopts the analytic hierarchy process, which has a certain subjectivity in the target weights and has certain limitations in the quantitative allocation of a specific type of solid waste on different disposal routes. In recent years, some studies have used multi-objective optimization models to solve the problem of quantitative allocation of solid waste disposal for specific quantitative targets. For example, using environmental pollution emissions, economic efficiency, carbon emissions, etc. as targets or constraints, and using mixed integer programming, genetic algorithms and other models to optimize the disposal of waste.

[0004] The above solutions used in the prior art have the following defects:

[0005] (1) Mixed integer programming requires that some objectives be expressed in the form of constraints. By limiting the range of variables, the optimal solution under the conditions can be solved to avoid weight allocation of multi-objective problems. However, for problems without a specific interval of objectives, they still need to be converted into single objectives for solution;

[0006] (2) Genetic algorithms are relatively effective in solving high-order and complex multi-objective optimization problems, but the calculations take a certain amount of time. In addition, they are prone to falling into local optimal situations for linear multi-objective problems.

[0007] (3) The calculation process, objective function and constraint condition construction of the solutions used in the existing technology are relatively complex, and the threshold for practical application is relatively high. Summary of the invention

[0008] In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a quantitative allocation method, system, medium and electronic equipment for multi-source solid waste disposal to solve the above-mentioned problems.

[0009] In a first aspect, the present invention provides a method for quantitative allocation of multi-source solid waste disposal, the method comprising the following steps:

[0010] Obtain solid waste disposal methods and various solid waste disposal decision-making target indicators;

[0011] Based on the solid waste disposal method and each of the solid waste disposal decision target indicators, a corresponding objective function is calculated;

[0012] The objective function is constrained based on preset constraints, and a target allocation scheme is obtained by using a quantitative allocation scheme corresponding to a minimum solution target of the objective function.

[0013] Based on the target allocation plan, the quantitative allocation operation of multi-source solid waste disposal is completed.

[0014] In a possible implementation of the present application, the obtaining of the solid waste disposal method and each solid waste disposal decision target index specifically includes:

[0015] Obtaining the solid waste disposal method, wherein the solid waste disposal method includes anaerobic digestion-incineration method, anaerobic digestion-composting method, composting method, and incineration method;

[0016] The solid waste disposal decision target indicators are obtained, wherein the solid waste disposal decision target indicators at least include a carbon emission indicator and an economic cost indicator.

[0017] In a possible implementation of the present application, the corresponding objective function is calculated based on the solid waste disposal method in combination with each of the solid waste disposal decision target indicators, specifically including:

[0018] The carbon emission index objective function is calculated based on the first calculation formula, where the first calculation formula is as follows:

[0019]

[0020] Among them, H(1) is the carbon emission index objective function, x ij g represents the amount of solid waste of type i disposed using the j-th solid waste disposal method; ij (1) represents the carbon emission value of disposing unit mass of type i solid waste using the j-th solid waste disposal method.

[0021] In a possible implementation of the present application, the corresponding objective function is calculated based on the solid waste disposal method in combination with each of the solid waste disposal decision target indicators, and specifically includes:

[0022] The carbon emission index objective function is calculated based on the second calculation formula, where the second calculation formula is as follows:

[0023]

[0024] Among them, G(2) is the objective function of the economic cost index, x ij g represents the amount of solid waste of type i disposed using the j-th solid waste disposal method; ij (2) represents the economic index value of disposing unit mass of type i solid waste using the j-th solid waste disposal method.

[0025] In a possible implementation of the present application, constraining the objective function based on preset constraints specifically includes:

[0026] Obtain constraints, where the constraints are as follows:

[0027]

[0028] Ax≤b;

[0029] -x0≤0;

[0030] Among them, x ij represents the disposal amount of the i-th type of solid waste when the j-th solid waste disposal method is used to dispose of it, W1 represents the total amount of municipal sludge to be disposed, W2 represents the total amount of catering waste to be disposed, and W3 represents the total amount of kitchen waste to be disposed; A represents the matrix calculated based on the material flow of each process link; b represents the matrix calculated based on the actual data of the project; x0 is the initial value of the disposal amount x;

[0031] The carbon emission index objective function and the economic cost index objective function are constrained based on the constraint conditions.

[0032] In a possible implementation of the present application, the target allocation scheme is obtained by using the quantitative allocation scheme corresponding to the minimum solution target of the objective function, specifically including:

[0033] The preset linear programming algorithm is used to solve the minimum value of the carbon emission index objective function G(1) min And the minimum value of the economic cost index objective function G(2) min ;

[0034] The preset target programming algorithm is used to solve the minimum value of the carbon emission index objective function G(1) min And the minimum value of the economic cost indicator objective function G(2) min At the same time, a quantitative allocation scheme approaching the minimum value is obtained to obtain the target allocation scheme, wherein the target allocation scheme is a combination of solid waste types and solid waste disposal methods, wherein the solid waste types include municipal sludge, catering waste and kitchen waste.

[0035] In a possible implementation of the present application, the method further includes acquiring data on each link of solid waste disposal to construct a solid waste disposal life cycle inventory, wherein the solid waste disposal life cycle inventory includes solid waste disposal methods corresponding to the solid waste types.

[0036] In a second aspect, the present invention provides a multi-source solid waste disposal quantitative allocation system, the system comprising:

[0037] An acquisition module is used to obtain solid waste disposal methods and various solid waste disposal decision-making target indicators;

[0038] A calculation module, used to calculate a corresponding objective function based on the solid waste disposal method and each of the solid waste disposal decision target indicators;

[0039] The allocation module is used to constrain the objective function based on preset constraints, and obtain a target allocation solution with a quantitative allocation solution corresponding to the minimum solution target of the objective function.

[0040] An operation module is used to complete the quantitative allocation operation of multi-source solid waste disposal based on the target allocation plan.

[0041] In a third aspect, the present invention provides an electronic device, the electronic device comprising: a processor and a memory;

[0042] The memory is used to store computer programs;

[0043] The processor is used to execute the computer program stored in the memory so that the electronic device performs the above-mentioned multi-source solid waste disposal quantitative allocation method.

[0044] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by an electronic device, implements the above-mentioned multi-source solid waste disposal quantitative allocation method.

[0045] As described above, the multi-source solid waste disposal quantitative allocation method, system, medium and electronic equipment described in the present invention have the following beneficial effects: they can quickly calculate a solid waste disposal quantitative allocation plan that meets the needs, and guide solid waste disposal-related personnel to carry out solid waste disposal work through three allocation plans: lowest carbon, most economical, and relatively better in carbon emissions and economic costs, thereby protecting the ecological environment and saving production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 Shown is a schematic diagram of a scene of an electronic device in an embodiment of the present invention;

[0047] Figure 2 Shown is a flow chart of a multi-source solid waste disposal quantitative allocation method in one embodiment of the present invention;

[0048] Figure 3 A schematic diagram showing a solid waste disposal method and a solid waste disposal decision target index in an embodiment of the multi-source solid waste disposal quantitative allocation method of the present invention;

[0049] Figure 4 It is a schematic diagram showing the calculation process of the first calculation formula in one embodiment of the multi-source solid waste disposal quantitative allocation method of the present invention;

[0050] Figure 5 It is a schematic diagram showing the calculation process of the second calculation formula in one embodiment of the multi-source solid waste disposal quantitative allocation method of the present invention;

[0051] Figure 6 It is a schematic diagram showing the combination of solid waste types and solid waste disposal methods in one embodiment of the multi-source solid waste disposal quantitative allocation method of the present invention;

[0052] Figure 7 Shown is a schematic structural diagram of a multi-source solid waste disposal quantitative allocation system in one embodiment of the present invention;

[0053] Figure 8 It is a schematic structural diagram of an electronic device of the present invention in one embodiment. DETAILED DESCRIPTION

[0054] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0055] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0056] The following embodiments of the present invention provide a quantitative allocation method for multi-source solid waste disposal, which can be applied to Figure 1 The electronic device shown. The electronic device described in the present invention may include a mobile phone 11 with a wireless charging function, a tablet computer 12, a laptop computer 13, a wearable device, a vehicle-mounted device, an augmented reality (AR) / virtual reality (VR) device, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), etc. The embodiment of the present invention does not impose any restrictions on the specific type of the electronic device.

[0057] For example, the electronic device may be a station (STAION, ST) in a WLAN with a wireless charging function, a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA) device, a handheld device with a wireless charging function, a computing device or other processing device, a computer, a laptop computer, a handheld communication device, a handheld computing device, and / or other devices for communicating on a wireless system and a next generation communication system, such as a mobile terminal in a 5G network, a mobile terminal in a future evolved Public Land Mobile Network (PLMN), or a mobile terminal in a future evolved Non-terrestrial Network (NTN), etc.

[0058] The technical solutions in the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0059] Specifically, see Figure 2 In one embodiment of the invention, the multi-source solid waste disposal quantitative allocation method of the present invention comprises the following steps:

[0060] Step S202, obtaining solid waste disposal methods and various solid waste disposal decision target indicators;

[0061] Step S204, calculating a corresponding objective function based on the solid waste disposal method and each of the solid waste disposal decision target indicators;

[0062] Step S206, constraining the objective function based on preset constraints, and obtaining a target allocation solution with a quantitative allocation solution corresponding to the minimum solution target of the objective function;

[0063] Step S208, completing the quantitative allocation operation of multi-source solid waste disposal based on the target allocation plan.

[0064] It should be noted that, in this embodiment, the types of solid waste specifically include municipal sludge, catering waste and kitchen waste. When disposing of solid waste, the solid waste disposal method can be obtained to establish a solid waste disposal method library, and each solid waste disposal decision target indicator can be obtained. Accordingly, after obtaining the solid waste disposal method and each solid waste disposal decision target indicator, the corresponding objective function can be calculated based on the solid waste disposal method in combination with each of the solid waste disposal decision target indicators, so as to use the disposal amount of various types of solid waste and the disposal scale of various facilities as constraints; adopt a linear programming algorithm to solve the quantitative allocation plan for solid waste disposal when each objective function is minimized; take the minimization of each objective function as the solution goal, adopt a target programming algorithm to solve the quantitative allocation plan for solid waste disposal when it approaches the minimum value of each objective function at the same time, and finally complete the quantitative allocation operation of multi-source solid waste disposal based on the target allocation plan, wherein the target allocation plan is specifically output to the user end to guide the user to perform quantitative allocation operations based on the target allocation plan.

[0065] Furthermore, in one embodiment of the invention, the obtaining of the solid waste disposal method and each solid waste disposal decision target index specifically includes:

[0066] Obtaining the solid waste disposal method, wherein the solid waste disposal method includes anaerobic digestion-incineration method, anaerobic digestion-composting method, composting method, and incineration method;

[0067] The solid waste disposal decision target indicators are obtained, wherein the solid waste disposal decision target indicators at least include a carbon emission indicator and an economic cost indicator.

[0068] It should be noted that, in this embodiment, Figure 3 As shown, it is a schematic diagram of solid waste disposal methods and solid waste disposal decision target indicators, wherein the solid waste disposal methods are: anaerobic digestion-incineration method, anaerobic digestion-composting method, composting method, incineration method, and accordingly, the acquired solid waste disposal decision target indicators at least include carbon emission indicators and economic cost indicators, wherein the solid waste disposal decision target indicators in other embodiments also include energy recovery indicators, environmental impact indicators, etc.

[0069] Furthermore, in one embodiment of the invention, the corresponding objective function is calculated based on the solid waste disposal method in combination with each of the solid waste disposal decision target indicators, specifically including:

[0070] The carbon emission index objective function is calculated based on the first calculation formula, where the first calculation formula is as follows:

[0071]

[0072] Among them, G(1) is the carbon emission index objective function, xij g represents the amount of solid waste of type i disposed using the j-th solid waste disposal method; ij (1) represents the carbon emission value of disposing unit mass of type i solid waste using the j-th solid waste disposal method.

[0073] It should be noted that, in this embodiment, the first calculation formula specifically calculates the carbon emission index objective function G(1), wherein i is the solid waste type, j is the solid waste disposal method, and accordingly, the above embodiment illustrates that the solid waste type i specifically includes municipal sludge, catering waste and kitchen waste, so the value of i is "1-3", and the solid waste disposal methods j are: anaerobic digestion-incineration method, anaerobic digestion-composting method, composting method, incineration method, so the value of j is "1-4", such as Figure 4 As shown, it is a schematic diagram of the calculation process of the first calculation formula, in which the carbon emission value g of the unit mass of type i solid waste disposed of using the jth solid waste disposal method is first calculated. ij (1), and then calculate the disposal amount x when the i-th type of solid waste is disposed of using the j-th solid waste disposal method ij Finally, the carbon emission index objective function G(1) is obtained by cumulatively calculating the values ​​of i as "1-3" and j as "1-4".

[0074] Specifically, as shown in Table 1, g 12 Taking (1) as an example, it represents the first solid waste disposal decision target indicator value for disposing unit mass of Class I solid waste using the second solid waste disposal method, that is, the carbon emission value for disposing unit mass of municipal sludge using anaerobic digestion-composting method.

[0075] Table 1. Detailed list of carbon emission values ​​for treating unit mass of municipal sludge using anaerobic digestion-composting

[0076]

[0077]

[0078] Furthermore, in one embodiment of the invention, the corresponding objective function is calculated based on the solid waste disposal method in combination with each of the solid waste disposal decision target indicators, and specifically includes:

[0079] The carbon emission index objective function is calculated based on the second calculation formula, where the second calculation formula is as follows:

[0080]

[0081] Among them, G(2) is the objective function of the economic cost index, x ij g represents the amount of solid waste of type i disposed using the j-th solid waste disposal method; ij(2) represents the economic index value of disposing unit mass of type i solid waste using the j-th solid waste disposal method.

[0082] It should be noted that, in this embodiment, the first calculation formula specifically calculates the economic cost indicator objective function G(2), wherein i is the solid waste type, j is the solid waste disposal method, and accordingly, the above embodiment illustrates that the solid waste type i specifically includes municipal sludge, catering waste and kitchen waste, so the value of i is "1-3", and the solid waste disposal methods j are: anaerobic digestion-incineration method, anaerobic digestion-composting method, composting method, incineration method, so the value of j is "1-4", such as Figure 5 As shown, it is a schematic diagram of the calculation process of the second calculation formula, wherein the economic index value g of the unit mass of type i solid waste disposed of using the jth solid waste disposal method is first calculated. ij (2) Then calculate the disposal amount x of the i-th type of solid waste when the j-th solid waste disposal method is used to dispose of the i-th type of solid waste ij Finally, the economic cost indicator objective function G(2) is obtained by cumulatively calculating the values ​​of i as "1-3" and j as "1-4".

[0083] Furthermore, in one embodiment of the invention, constraining the objective function based on preset constraints specifically includes:

[0084] Obtain constraints, where the constraints are as follows:

[0085]

[0086] Ax≤b;

[0087] -x0≤0;

[0088] Among them, x ij represents the disposal amount when the i-th type of solid waste is disposed of by the j-th solid waste disposal method, W1 represents the total amount of municipal sludge to be disposed, W2 represents the total amount of catering waste to be disposed, and W3 represents the total amount of kitchen waste to be disposed; A represents the matrix obtained by calculating the material flow of each process link, wherein, in addition to considering the degradation of the material, the change of moisture content should also be considered in the material flow calculation. In this embodiment, composting or incineration may also be used after anaerobic digestion, so it is necessary to calculate the conversion coefficient of anaerobic digestion to evaluate the scale of subsequent disposal methods. The degradation rate is "30-50%", so the coefficient after conversion through anaerobic digestion is "0.55-0.7", that is, "1tDS" of solid waste becomes "0.55-0.7tDS" of sludge after anaerobic digestion; b represents the acceptance scale of the treatment facility, which is a matrix obtained based on the actual data of the project. For example, in this embodiment, the maximum acceptance capacity of the composting and incineration facilities is "40tDS / d", and there is no acceptance capacity setting for other facilities; x0 is the initial value of the disposal amount x;

[0089] The carbon emission index objective function and the economic cost index objective function are constrained based on the constraint conditions.

[0090] It should be noted that the above embodiment describes the calculation of the carbon emission index objective function G(1) and the economic cost index objective function G(2), with the disposal amount of various types of solid waste and the disposal scale of various facilities as constraints. Therefore, in this embodiment, the constraints are obtained, wherein the constraints are as follows: Ax≤b; -x0≤0, where x ij It represents the disposal amount of the i-th type of solid waste when the j-th solid waste disposal method is used to dispose of it, W1 represents the total amount of municipal sludge to be disposed of, W2 represents the total amount of catering waste to be disposed of, and W3 represents the total amount of kitchen waste to be disposed of; A represents the matrix calculated based on the material flow of each process link; b represents the matrix calculated based on the actual data of the project; x0 is the initial value of the disposal amount x, which is set to "0".

[0091] Further, in one embodiment of the invention, the target allocation scheme is obtained by using the quantitative allocation scheme corresponding to the minimum solution target of the target function, which specifically includes:

[0092] The preset linear programming algorithm is used to solve the minimum value of the carbon emission index objective function G(1) min And the minimum value of the economic cost index objective function G(2) min ;

[0093] The preset target programming algorithm is used to solve the minimum value of the carbon emission index objective function G(1) min And the minimum value of the economic cost indicator objective function G(2) min At the same time, a quantitative allocation scheme approaching the minimum value is obtained to obtain the target allocation scheme, wherein the target allocation scheme is a combination of solid waste types and solid waste disposal methods, wherein the solid waste types include municipal sludge, catering waste and kitchen waste.

[0094] It should be noted that, in this embodiment, the linear programming algorithm adopts the linprog function, and the goal programming algorithm adopts the fgoalattain function, wherein the linprog function is a function in Matlab for solving linear programming problems, and the fgoalattain function is an optimization toolbox function in Matlab for realizing multi-objective and multi-constraint optimization problems.

[0095] Specifically, the linprog function is used to solve the quantitative allocation scheme of solid waste disposal when each objective function is minimized (that is, when G(1) and G(2) are minimized); taking the minimization of each objective function as the solution goal (that is, minimization of G(1) and G(2)), the fgoalattain function is used to solve the quantitative allocation scheme of solid waste disposal when it approaches the minimum value of each objective function at the same time to obtain the target allocation scheme, wherein the target allocation scheme is a combination of solid waste type and solid waste disposal method, refer to Figure 6 , showing a schematic diagram of the combination of solid waste types and solid waste disposal methods. Under the corresponding embodiment, with the goal of reducing carbon emissions, it is recommended that all types of organic solid wastes undergo anaerobic digestion for energy recovery; from the perspective of economic goals, composting is the best choice; the optimal scenario is calculated with the lowest carbon emissions and the lowest economic cost as the target values. This solution has negative carbon emissions and low economic costs. Under this solution, as much energy and resources as possible are recovered through anaerobic digestion to achieve the negative carbon goal, and part of the sludge is directly composted to save costs.

[0096] Furthermore, in one embodiment of the invention, the method also includes obtaining data on each link of solid waste disposal to construct a solid waste disposal life cycle inventory, wherein the solid waste disposal life cycle inventory includes solid waste disposal methods corresponding to the solid waste types.

[0097] It should be noted that, in this embodiment, the solid waste disposal life cycle inventory should include all aspects of solid waste disposal, see Table 2.

[0098] Table 2 Solid waste disposal life cycle inventory

[0099] Processing stage 1 Material input quantity unit Material output quantity unit Substance 1 product Substance 2 Byproduct 1 Substance 3 Byproduct 2 ... ... Intermediate 1 Intermediate 2 ... Waste 1 Waste 2 ... Processing stage 2 ...

[0100] Finally, the present invention combines life cycle analysis, linear programming algorithm, and goal programming algorithm to calculate a quantitative allocation plan for solid waste disposal that meets the needs. The operation is simple, the calculation is fast, and the threshold is low. At the same time, it can also avoid the influence of human weights. Therefore, through the three allocation plans of lowest carbon, most economical, and relatively better carbon emissions and economic costs, it guides the solid waste disposal-related personnel to carry out solid waste disposal work, which not only protects the ecological environment but also saves production costs.

[0101] The embodiment of the present application also provides a multi-source solid waste disposal quantitative allocation system, which can implement the multi-source solid waste disposal quantitative allocation method described in the present application, but the implementation device of the multi-source solid waste disposal quantitative allocation method described in the present application includes but is not limited to the structure of the multi-source solid waste disposal quantitative allocation system listed in the present embodiment. All structural deformations and replacements of the prior art made according to the principles of the present application are included in the protection scope of the present application.

[0102] See also Figure 7 In one embodiment, this embodiment provides a multi-source solid waste disposal quantitative allocation system 70, the system comprising:

[0103] An acquisition module 71 is used to acquire solid waste disposal methods and various solid waste disposal decision target indicators;

[0104] A calculation module 72, configured to calculate a corresponding objective function based on the solid waste disposal method in combination with each of the solid waste disposal decision target indicators;

[0105] The allocation module 73 is used to constrain the objective function based on preset constraints, and obtain a target allocation solution with a quantitative allocation solution corresponding to the minimum solution target of the objective function.

[0106] The operation module 74 is used to complete the quantitative allocation operation of multi-source solid waste disposal based on the target allocation plan.

[0107] Since the specific implementation of this embodiment corresponds to the aforementioned method embodiment, the same details will not be repeated here, and those skilled in the art should also understand that Figure 7 The division of the modules in the embodiment is merely a division of logical functions, and in actual implementation, all or part of them can be integrated into one or more physical entities, and these modules can be implemented entirely in the form of software called by processing elements, or entirely in the form of hardware, or some modules can be implemented in the form of software called by processing elements, and some modules can be implemented in the form of hardware.

[0108] In the several embodiments provided by the present invention, it should be understood that the disclosed system, device or method can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules / units is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules or units, which can be electrical, mechanical or other forms.

[0109] The modules / units described as separate components may or may not be physically separated, and the components displayed as modules / units may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules / units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention. For example, the functional modules / units in the various embodiments of the present invention may be integrated into one processing module, or each module / unit may exist physically separately, or two or more modules / units may be integrated into one module / unit.

[0110] Those of ordinary skill in the art should further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0111] The embodiment of the present invention also provides a computer-readable storage medium. A person of ordinary skill in the art can understand that all or part of the steps in the method for implementing the above embodiment can be completed by instructing the processor through a program, and the program can be stored in a computer-readable storage medium, and the storage medium is a non-transitory medium, such as a random access memory, a read-only memory, a flash memory, a hard disk, a solid-state hard disk, a magnetic tape, a floppy disk, an optical disc, and any combination thereof. The above storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more available media. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a digital video disc (DVD)), or a semiconductor medium (e.g., a solid-state disk (SSD)), etc.

[0112] An embodiment of the present invention further provides an electronic device, which includes a processor and a memory.

[0113] The memory is used to store computer programs.

[0114] The memory includes: ROM, RAM, disk, USB flash drive, memory card or CD and other media that can store program codes.

[0115] The processor is connected to the memory and is used to execute the computer program stored in the memory so that the electronic device executes the above-mentioned multi-source solid waste disposal quantitative allocation method.

[0116] Preferably, the processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0117] like Figure 8 As shown, the electronic device of the present invention is in the form of a general computing device. The components of the electronic device may include but are not limited to: one or more processors or processing units 81, a memory 82, and a bus 83 connecting different system components (including the memory 82 and the processing unit 81).

[0118] Bus 83 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. For example, these architectures include but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus and Peripheral Component Interconnect (PCI) bus.

[0119] Electronic devices typically include a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device, including volatile and non-volatile media, removable and non-removable media.

[0120] The memory 82 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 821 and / or cache memory 822. The electronic device may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 823 may be used to read and write non-removable, non-volatile magnetic media ( Figure 8 not shown, usually called a "hard drive"). Although Figure 8Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 83 via one or more data medium interfaces. The memory 82 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present invention.

[0121] A program / utility 824 having a set (at least one) of program modules 8241 may be stored, for example, in the memory 82, such program modules 8241 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 8241 generally perform the functions and / or methods of the embodiments described herein.

[0122] The electronic device may also communicate with one or more external devices (e.g., keyboards, pointing devices, displays, etc.), one or more devices that enable a user to interact with the electronic device, and / or any device that enables the electronic device to communicate with one or more other computing devices (e.g., network cards, modems, etc.). Such communication may be performed via input / output (I / O) interface 84. Furthermore, the electronic device may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via network adapter 85. Figure 8 As shown, the network adapter 85 communicates with other modules of the electronic device via the bus 83. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0123] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A quantitative allocation method for multi-source solid waste disposal, characterized in that: include: Obtain solid waste disposal methods and various solid waste disposal decision-making target indicators; Based on the solid waste disposal method and each of the solid waste disposal decision target indicators, a corresponding objective function is calculated; The objective function is constrained based on preset constraints, and a target allocation scheme is obtained by using a quantitative allocation scheme corresponding to a minimum solution target of the objective function. Based on the target allocation plan, the quantitative allocation operation of multi-source solid waste disposal is completed.

2. The quantitative allocation method for multi-source solid waste disposal according to claim 1, characterized in that: The acquisition of solid waste disposal methods and various solid waste disposal decision-making target indicators specifically includes: Obtaining the solid waste disposal method, wherein the solid waste disposal method includes anaerobic digestion-incineration method, anaerobic digestion-composting method, composting method, and incineration method; The solid waste disposal decision target indicators are obtained, wherein the solid waste disposal decision target indicators at least include a carbon emission indicator and an economic cost indicator.

3. The quantitative allocation method for multi-source solid waste disposal according to claim 2, characterized in that: The corresponding objective function is calculated based on the solid waste disposal method and each of the solid waste disposal decision target indicators, specifically including: The carbon emission index objective function is calculated based on the first calculation formula, where the first calculation formula is as follows: Among them, G(1) is the carbon emission index objective function, x ij g represents the amount of solid waste of type i disposed using the j-th solid waste disposal method; ij (1) represents the carbon emission value of disposing unit mass of type i solid waste using the j-th solid waste disposal method.

4. The quantitative allocation method for multi-source solid waste disposal according to claim 3 is characterized in that: The corresponding objective function is calculated based on the solid waste disposal method in combination with each of the solid waste disposal decision target indicators, and specifically includes: The carbon emission index objective function is calculated based on the second calculation formula, where the second calculation formula is as follows: Among them, G(2) is the objective function of the economic cost index, x ij g represents the amount of solid waste of type i disposed using the j-th solid waste disposal method; ij (2) represents the economic index value of disposing unit mass of type i solid waste using the j-th solid waste disposal method.

5. The quantitative allocation method for multi-source solid waste disposal according to claim 4, characterized in that: The constraining the objective function based on the preset constraint condition specifically includes: Obtain constraints, where the constraints are as follows: Ax≤b; -x0≤0； Among them, x ij represents the disposal amount of the i-th type of solid waste when the j-th solid waste disposal method is used to dispose of it, W1 represents the total amount of municipal sludge to be disposed, W2 represents the total amount of catering waste to be disposed, and W3 represents the total amount of kitchen waste to be disposed; A represents the matrix calculated based on the material flow of each process link; b represents the matrix calculated based on the actual data of the project; x0 is the initial value of the disposal amount x; The carbon emission index objective function and the economic cost index objective function are constrained based on the constraint conditions.

6. The quantitative allocation method for multi-source solid waste disposal according to claim 5, characterized in that: The target allocation scheme is obtained by using the quantitative allocation scheme corresponding to the minimum solution target of the target function, specifically including: The preset linear programming algorithm is used to solve the minimum value of the carbon emission index objective function G(1) min And the minimum value of the economic cost index objective function G(2) min ; The preset target programming algorithm is used to solve the minimum value of the carbon emission index objective function G(1) min And the minimum value of the economic cost indicator objective function G(2) min At the same time, a quantitative allocation scheme approaching the minimum value is obtained to obtain the target allocation scheme, wherein the target allocation scheme is a combination of solid waste types and solid waste disposal methods, wherein the solid waste types include municipal sludge, catering waste and kitchen waste.

7. The quantitative allocation method for multi-source solid waste disposal according to claim 6, characterized in that: The method also includes obtaining data from various stages of solid waste disposal to construct a solid waste disposal life cycle inventory.

8. A quantitative allocation system for multi-source solid waste disposal, characterized in that: include: An acquisition module is used to obtain solid waste disposal methods and various solid waste disposal decision-making target indicators; A calculation module, used to calculate a corresponding objective function based on the solid waste disposal method and each of the solid waste disposal decision target indicators; The allocation module is used to constrain the objective function based on preset constraints, and obtain a target allocation solution with a quantitative allocation solution corresponding to the minimum solution target of the objective function. An operation module is used to complete the quantitative allocation operation of multi-source solid waste disposal based on the target allocation plan.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the quantitative allocation method for multi-source solid waste disposal as described in any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: The electronic device comprises: a processor and a memory; wherein the memory is used to store computer programs, and the processor is used to execute the computer programs stored in the memory, so that the electronic device executes the quantitative allocation method for multi-source solid waste disposal as described in any one of claims 1 to 7.

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