Multi-source organic solid waste whole process substance flow and energy flow metabolic network diagram construction method and related device

Abstract

The embodiment of the invention discloses a construction method of a multi-source organic solid waste whole-process substance flow and energy flow metabolic network diagram and a related device. A basic theoretical analysis and research framework is set up; constructing an urban typical organic solid waste material flow model according to the basic theoretical analysis and research framework; and according to the urban typical organic solid waste material flow model, constructing a Yifen city typical organic solid waste metabolic network. It can be seen that the embodiment of the invention is beneficial for solving the following problems: 1, composition and characteristics of the organic solid waste can be better understood by establishing a substance flow and energy flow metabolic network diagram, so that a more efficient and more economical treatment process is designed; 2, through the metabolic network diagram, the influence of the organic solid waste treatment process on the environment can be better known, so that measures are taken to reduce the influence of the organic solid waste on the environment.

Description

Technical Field

[0001] This invention relates to the field of solid waste resource utilization technology, and in particular to a method and related apparatus for constructing a metabolic network diagram of material and energy flow throughout the entire process of multi-source organic solid waste. Background Technology

[0002] Economic development and rapid urbanization have made urban clusters centers of large-scale resource consumption in China, but they have also brought environmental problems such as pollution and resource shortages, placing a burden on natural ecosystems.

[0003] Urban metabolism research can track material flow and pathways, analyze metabolic processes such as resource utilization, material transformation, and waste discharge within urban systems, and provide decision analysis for sustainable urban development.

[0004] In recent years, the contradiction between the increase in solid waste volume brought about by the rapid economic and social development of cities and the insufficient treatment capacity has become increasingly prominent. Problems such as incomplete organic solid waste production and discharge inventories, unclear composition, and unclear material and energy metabolism pathways and networks have emerged, which urgently need to be solved. Summary of the Invention

[0005] This application provides a method and related apparatus for constructing a metabolic network diagram of material and energy flow of multi-source organic solid waste throughout the entire process. Taking typical urban organic solid waste in the urban socio-economic system as the starting point, based on material flow analysis and ecological network methods, the metabolic process of typical urban organic solid waste is analyzed, and a set of typical organic solid waste material flow models and typical organic solid waste metabolic networks that can be promoted are established. This is helpful in solving problems such as incomplete organic solid waste production and discharge inventories, unclear full components, and unclear material and energy metabolic pathways and networks.

[0006] The first aspect of this application provides a method for constructing a metabolic network diagram of material and energy flow throughout the entire process of multi-source organic solid waste, the method comprising: Establish a basic theoretical analysis and research framework; Based on the aforementioned basic theoretical analysis and research framework, a typical urban organic solid waste material flow model is constructed. Based on the material flow model of typical organic solid waste in the city, a metabolic network of typical organic solid waste in Hefei City was constructed.

[0007] Optionally, the establishment of the basic theoretical analysis and research framework includes: Define system boundaries, delineate industry sectors, collect and organize data, and perform modeling and analysis.

[0008] Optionally, the construction of a typical urban organic solid waste material flow model based on the aforementioned basic theoretical analysis and research framework includes: Establish a material flow account, perform accounting by module, establish an evaluation index system, and conduct material flow analysis.

[0009] Optionally, the step of constructing a typical organic solid waste metabolic network in Hefei City based on the typical organic solid waste material flow model of the city includes: Identify metabolic nodes, metabolic pathways, and network traffic; analyze metabolic network characteristics.

[0010] Optionally, the steps of determining system boundaries, delineating industry sectors, collecting and organizing data, and modeling and analyzing include: Define the geographical location and time frame for urban metabolic analysis to ensure that all accounting activities are conducted within the system boundaries; Identify the key economic sectors involved in urban metabolism research; Collect statistical data and conversion methods related to the flow of materials in key economic sectors within a specific timeframe; We used material flow analysis and ecological network analysis methods to build models for urban metabolism research, and conducted time series analysis.

[0011] Optionally, the establishment of a material flow account, the modular accounting, the establishment of an evaluation index system, and the material flow analysis include: Referring to the EW-MFA model and the urban metabolism research framework, a total material flow account was established, and the metabolic activities involved in the typical urban organic solid waste system were divided into three metabolic sector modules: agricultural activities, daily life activities, and industrial activities. Evaluation indicators should be introduced to determine the specific situation of urban metabolism, namely direct material input, material consumption within the region, resource dependence within the region, trade intensity, and material emission index within the region.

[0012] Optionally, the determination of metabolic nodes, metabolic pathways, and network traffic, and the metabolic network feature analysis, include: The typical urban organic solid waste metabolic system is divided into the external environment and four economic activity sectors: agriculture, manufacturing, waste treatment, and household consumption. The metabolic network is calculated using a matrix based on the ecological network analysis method. The metabolic network is quantified through various ecological indicators, namely flow analysis, control analysis, structural analysis, and utility analysis.

[0013] The second aspect of this application provides an apparatus for constructing a metabolic network diagram of the entire process of material and energy flow in multi-source organic solid waste, the apparatus comprising: Framework building unit, used to build the basic theoretical analysis and research framework; The model building unit is used to construct a typical urban organic solid waste material flow model based on the aforementioned basic theoretical analysis and research framework. The network construction unit is used to construct a typical organic solid waste metabolism network in Hefei City based on the typical organic solid waste material flow model of the city.

[0014] A third aspect of this application provides an electronic device, including: a processor and a memory; The processor is connected to a memory, wherein the memory is used to store computer programs and the processor is used to invoke the computer programs to execute the methods as described in the first aspect of the embodiments of this application.

[0015] A fourth aspect of this application provides a computer-readable storage medium storing a computer program, the computer program including program instructions, which, when executed by a processor, perform the method as described in the first aspect of this application.

[0016] This application discloses a method and related apparatus for constructing a metabolic network diagram of the entire process of material and energy flow in multi-source organic solid waste. It establishes a basic theoretical analysis and research framework; constructs a material flow model of typical urban organic solid waste based on this framework; and constructs a metabolic network of typical organic solid waste in Hefei City based on this model. It can be seen that the application's embodiments are beneficial in solving the following problems: First, by establishing a metabolic network diagram of material and energy flow, we can better understand the composition and characteristics of organic solid waste, thereby designing more efficient and economical treatment processes.

[0017] Second, metabolic network diagrams can provide a better understanding of the environmental impact of organic solid waste treatment processes, thereby enabling measures to be taken to reduce their environmental impact. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This illustration shows a schematic diagram of the application runtime environment for constructing a metabolic network diagram of the entire process of multi-source organic solid waste material flow and energy flow according to an embodiment of this application; Figure 2 This paper illustrates a flowchart of a method for constructing a metabolic network diagram of the entire process of multi-source organic solid waste material flow and energy flow according to an embodiment of this application. Figure 3 This application shows an embodiment of the administrative division map of Hefei City. Figure 4 This application provides a schematic diagram of a typical organic solid waste metabolism framework in Hefei City, based on one embodiment of the present application. Figure 5 This illustration shows a schematic diagram of a key metabolic process of typical organic solid waste in Hefei City, provided in one embodiment of this application. Figure 6 A schematic diagram of the basic flow items of typical organic solid waste in Hefei City provided in one embodiment of this application is shown; Figure 7 This illustration shows a schematic diagram of the material flow account accounting for typical organic solid waste in Hefei City according to an embodiment of this application; Figure 8 This illustration shows a schematic diagram of the overall metabolism of typical organic solid waste in Hefei City, provided in one embodiment of this application. Figure 9 This illustration shows a schematic diagram of the material flow analysis of agriculture, industry, and daily life activities in Hefei City according to an embodiment of this application; Figure 10 This paper illustrates a schematic diagram of the nodes of a typical organic solid waste metabolism network model for various departments of the Hefei urban system, provided in one embodiment of this application. Figure 11 A schematic diagram showing the analysis results of a typical organic solid waste metabolism network in Hefei City provided in one embodiment of this application is illustrated. Figure 12 This invention provides a schematic diagram of the structure of a device for constructing a metabolic network diagram of the material and energy flow of multi-source organic solid waste throughout the entire process, according to an embodiment of this application. Figure 13 A schematic diagram of the structure of a computer device provided in one embodiment of this application is shown. Detailed Implementation

[0020] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0021] Please refer to Figure 1 This illustration shows a schematic diagram of the application runtime environment for constructing a metabolic network diagram of the entire process of multi-source organic solid waste material and energy flow according to an embodiment of this application. The application runtime environment may include: terminal 10 and server 20.

[0022] Terminal 10 includes, but is not limited to, electronic devices such as mobile phones, computers, smart voice interaction devices, smart home appliances, in-vehicle terminals, game consoles, e-book readers, multimedia playback devices, and wearable devices. Application clients can be installed on terminal 10.

[0023] In this embodiment, the application described above can be any application capable of providing a service for constructing a metabolic network diagram of the entire process of material and energy flow in multi-source organic solid waste. Typically, this application is an industrial application. Of course, in addition to industrial applications, other types of applications can also provide services that rely on the construction of a metabolic network diagram of the entire process of material and energy flow in multi-source organic solid waste. For example, scientific research applications, browser applications, virtual reality (VR) applications, augmented reality (AR) applications, etc., are not limited in this embodiment. Optionally, a client of the above application is running on terminal 10.

[0024] Server 20 provides background services to clients of applications in terminal 10. For example, server 20 can be a background server for the aforementioned applications. Server 20 can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms. Optionally, server 20 can simultaneously provide background services to applications in multiple terminals 10.

[0025] Optionally, terminal 10 and server 20 can communicate with each other via network 30. Terminal 10 and server 20 can be directly or indirectly connected via wired or wireless communication, which is not limited herein.

[0026] Please refer to Figure 2 This document illustrates a flowchart of a method for constructing a metabolic network diagram of the entire process of multi-source organic solid waste, based on an embodiment of this application. This method can be applied to computer equipment, which refers to electronic devices capable of data computation and processing. For example, the executing entity for each step could be... Figure 1 The application runtime environment shown is either terminal 10 or server 20. The method may include the following steps: Step 201: Establishing a basic theoretical analysis and research framework; Step 202: Construct a typical urban organic solid waste material flow model based on the aforementioned basic theoretical analysis and research framework; Step 203: Construct a typical organic solid waste metabolic network for Hefei City based on the typical organic solid waste material flow model of the city.

[0027] Optionally, the establishment of the basic theoretical analysis and research framework includes: Define system boundaries, delineate industry sectors, collect and organize data, and perform modeling and analysis.

[0028] Optionally, the construction of a typical urban organic solid waste material flow model based on the aforementioned basic theoretical analysis and research framework includes: Establish a material flow account, perform accounting by module, establish an evaluation index system, and conduct material flow analysis.

[0029] Optionally, the step of constructing a typical organic solid waste metabolic network in Hefei City based on the typical organic solid waste material flow model of the city includes: Identify metabolic nodes, metabolic pathways, and network traffic; analyze metabolic network characteristics.

[0030] Optionally, the steps of determining system boundaries, delineating industry sectors, collecting and organizing data, and modeling and analyzing include: Define the geographical location and time frame for urban metabolic analysis to ensure that all accounting activities are conducted within the system boundaries; Identify the key economic sectors involved in urban metabolism research; Collect statistical data and conversion methods related to the flow of materials in key economic sectors within a specific timeframe; We used material flow analysis and ecological network analysis methods to build models for urban metabolism research, and conducted time series analysis.

[0031] Optionally, the establishment of a material flow account, the modular accounting, the establishment of an evaluation index system, and the material flow analysis include: Referring to the EW-MFA model and the urban metabolism research framework, a total material flow account was established, and the metabolic activities involved in the typical urban organic solid waste system were divided into three metabolic sector modules: agricultural activities, daily life activities, and industrial activities. Evaluation indicators should be introduced to determine the specific situation of urban metabolism, namely direct material input, material consumption within the region, resource dependence within the region, trade intensity, and material emission index within the region.

[0032] Optionally, the determination of metabolic nodes, metabolic pathways, and network traffic, and the metabolic network feature analysis, include: The typical urban organic solid waste metabolic system is divided into the external environment and four economic activity sectors: agriculture, manufacturing, waste treatment, and household consumption. The metabolic network is calculated using a matrix based on the ecological network analysis method. The metabolic network is quantified through various ecological indicators, namely flow analysis, control analysis, structural analysis, and utility analysis.

[0033] Optionally, the system boundary is the administrative division of Hefei City. Some socio-economic activities and natural environment within this boundary are selected as metabolic components. The focus is on typical organic solid waste in the study area to analyze the metabolic situation of typical organic solid waste in Hefei City. Data sources are mainly collected and converted through various methods and means such as relevant yearbooks (e.g., "China Statistical Yearbook", "Anhui Statistical Yearbook", "Anhui Survey Yearbook", "Hefei Statistical Yearbook"), government public reports, field surveys and interviews, literature retrieval, news interviews and reports, and sampling collection. Industrial sectors include urban agricultural activities, industrial activities and residents' daily life activities. The metabolic model of typical organic solid waste in Hefei City includes the following three important components: (1) resource extraction from the natural environment and input of materials from outside the city, (2) output of products and by-products from processing activities within the urban system, and (3) pollutant emissions caused by urban economic activities.

[0034] Optionally, the accounts for material flows in agriculture, industry, and daily life activities of residents are shown in Tables 1, 2, 3, 4, 5, and 6 below. The evaluation index system for urban metabolic material flows mainly includes the following, which are described in detail below: (1) Direct Material Input (DMI): refers to all solid, liquid, and gaseous substances (excluding water and air, but including, for example, the moisture content of materials) that enter the urban metabolic system for further use in the production or consumption process. It consists of the sum of substances extracted within the region and imported substances.

[0035] (2) Intra-Regional Material Consumption (IRMC): This refers to the total amount of material consumed within a city from its initial input to its final discharge into the environment. It represents the "potential for pollutants discharged into the city" during urban metabolism, or the "potential environmental pressure" that urban metabolism may exert on the city. The amount of material consumed within the region is the sum of the amount of material extracted and imported into the region minus the amount of material discharged.

[0036] (3) Intra-regional resource dependence: refers to the ratio of intra-regional extraction to intra-regional material consumption (IRE / IRMC), which indicates the degree of dependence of urban metabolism on intra-regional extracted materials.

[0037] (4) Trade intensity: refers to the ratio of the quantity of imported goods to direct material inputs (Imp / DMI) and the ratio of the quantity of exported goods to direct material inputs (Exp / DMI), which respectively represent the import intensity and export intensity of urban metabolism, reflecting the intensity of material trade between the urban system and the external region.

[0038] (5) Regional emission index: refers to the ratio of material emissions in the submodule region to material consumption in the submodule region, indicating the ratio of emitted pollutants and carbon and other substances to the potential increase in environmental pressure in the current year.

[0039] Table 1. Agricultural Activity Material Flow Accounts

[0040] Table 2 Accounting Coefficients for Agricultural Activity Material Flow Accounts

[0041] Table 3 Material Flow Accounts for Industrial Activities

[0042] Table 4. Material Flow Accounting Coefficients for Industrial Activities

[0043] Table 5. Material Flow Accounts for Residents' Daily Living Activities

[0044] Table 6. Accounting Coefficients for Material Flow in Residents' Daily Life Activities

[0045] Optionally, the metabolic nodes in a typical urban organic solid waste metabolic network are: Agriculture: agricultural production activities include aquaculture, livestock farming, and other economic activities; Environment: the natural environment provides resources such as biomass and accommodates waste emissions; Household Consumption: various activities undertaken by residents within the urban system to maintain normal survival; Manufacturing: the production activities of products or semi-finished products required for agricultural activities and residents' daily life activities; and Venous Industry: the treatment and disposal of typical organic solid waste. The establishment of ecological network indicators is described in detail below: Flow analysis: Determines the flux of substances through different metabolic nodes by calculation.

[0046]

[0047] Defined as the total amount of material input entering a node, representing the import volume of each node, and defined as the flow from sector to sector, which can reflect the degree of influence of a node on the overall material flow within the ecological network.

[0048] Control analysis: The integral flow matrix Y can reflect the role of some nodes in indirect flows other than direct flows.

[0049]

[0050] This represents the integrated control matrix.

[0051] Structural analysis: The ecological network structure analysis index W is used to characterize the role of a certain node in the metabolic network on the entire metabolic system, and can be used to measure the weight of a certain metabolic node.

[0052]

[0053] Utility analysis: The effective direct utility between nodes can be directly calculated using the direct utility matrix.

[0054]

[0055] Defined direct utility matrix The convergent power series is defined as the total utility matrix of degree infinite. , The elements in matrix U represent the nodes. To the node The utility of the matrix The matrix reflects the self-feedback of traffic at each node. A matrix that reflects the strength and pattern of the direct relationship between two nodes. express The mutual effect between the two nodes after the step.

[0056] One or more technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages: The urban metabolic mechanism reflected in this invention can improve the efficiency of urban metabolic resources, optimize waste management, provide data support for sustainable urban development, and provide scientific guidance for metabolic research in Hefei and similar cities in my country, which are experiencing rapid economic development.

[0057] Based on the method for constructing a metabolic network diagram of material and energy flow throughout the entire process of multi-source organic solid waste proposed in this invention, taking Hefei City as an example, the material flow within the urban metabolic system from 2013 to 2020 was calculated, and the changing trends and characteristics of material metabolism within the system were analyzed. Simultaneously, a typical organic solid waste metabolic network of Hefei City was established, and the metabolic processes and relationships of typical organic solid waste in Hefei City from 2013 to 2020 were analyzed. The implementation process is as follows: Figure 2 As shown in the figure, please refer to the actual calculation results graph. Figures 8 to 11 Specific examples are as follows: (1) The administrative divisions of Hefei City (including 4 urban districts, 4 counties, and 1 county-level city, namely Hefei City proper, Feidong County, Feixi County, Changfeng County, Lujiang County, and Chaohu City) are used as the boundary of the research system. The time boundary for the study of typical organic solid waste metabolism in Hefei City is defined as 2013-2020. Some socio-economic activities and natural environment within this boundary are selected as metabolic components, focusing on the metabolism of typical organic solid waste in the study area, such as... Figure 3 As shown.

[0058] (2) Establish an urban material flow analysis framework with reference to the Eurostat's "Economy-wide material flow accounts and derived indicators: A methodological guide", such as... Figure 4 As shown.

[0059] (3) Identify key metabolic processes: resource extraction from the natural environment and input of substances from outside the city; output of products and by-products from processing activities within the urban system; consumption and output of resources and products; typical organic solid waste emissions from urban economic activities, such as... Figure 5 As shown.

[0060] (4) Referring to the EW-MFA framework, this study considers dividing the material flow within the urban economic system into material input and output, and determines the basic items and evaluation indicators of material flow within the city, such as... Figure 6 As shown.

[0061] (5) The accounting results of the material flow accounts for the agricultural activity module, industrial activity module, and daily life activity module are shown in [the original text]. Figure 7 As shown.

[0062] (6) An analysis of the overall situation of typical organic solid waste metabolism in Hefei City shows that the amount of domestic waste produced in Hefei Province increased from 995,000 tons in 2013 to 2,709,100 tons in 2020, while the amount of livestock waste produced decreased from 4,745,700 tons in 2015 to 2,694,400 tons. By the end of 2020, the amount of domestic waste collected in Hefei City was 2,709,100 tons; the amount of sludge disposed of was approximately 533,400 tons; and the total amount of livestock waste produced in Hefei City this year was approximately 2,581,500 tons, and the amount of kitchen waste produced was approximately 356,100 tons. In summary, the amount of organic solid waste produced in Hefei City in 2020 was approximately 6,182,100 tons. The amount of direct material input in Hefei City showed a downward trend in 2016, 2018, and 2020, and an upward trend in other years. Overall, the amount of direct material input showed a trend of first increasing and then decreasing, changing from 15.6229 million tons in 2013 to 15.1068 million tons in 2020. Agricultural mining accounted for the largest share, approximately 45%. The amount of direct material output from typical organic solid waste in Hefei City showed a downward trend in 2016 and 2018, and an upward trend in other years. Overall, the amount of direct material output showed a trend of first increasing and then decreasing, decreasing from 21.3924 million tons in 2013 to 20.17005 million tons, a decrease of 5.7%, a relatively small change. Figure 8 As shown.

[0063] (7) Due to differences in urban development levels and dominant industries, the total material input of agricultural activities in Hefei City showed a trend of first increasing and then decreasing. Overall, due to the shrinking scale of Hefei's agricultural industry, the material input, output, and impact on the environment from solid waste have gradually decreased. The material input of industrial activities generally showed an upward trend, reflecting the thriving industrial development in Hefei City; while the total material output showed a trend of first increasing and then decreasing, indicating that industrial products produced in Hefei City, in addition to meeting the needs of urban residents, can also be transported to the external environmental system. With the rapid population growth brought about by Hefei's rapid development, the total input and output of Hefei's daily life sector showed a year-on-year increasing trend. The discharge of typical organic solid waste in Hefei City (such as domestic waste) has been increasing continuously in the past decade, putting pressure on urban environmental management. Figure 9 As shown.

[0064] The metabolic nodes in a typical organic solid waste metabolic network in Hefei City are agriculture, environment, household consumption, manufacturing, and vegetative industry. Figure 10The nodes in the metabolic network are abbreviated as A, E, H, M, and V respectively. The specific material flow between nodes in the metabolic network is shown in Table 7, which is divided into direct material flow within the system boundary and material flow between the urban system and the external environment, containing a total of 18 material flow paths.

[0065] Table 7. Specific meanings of each metabolic network in the ecological network diagram.

[0066] The establishment and analysis of ecological network metabolic indicators are detailed below. Figure 11 .

[0067] Flow analysis: The data from the direct flow matrix and the comprehensive flow matrix of Hefei City from 2013 to 2020 show little difference and relatively consistent trends. The typical organic solid waste ecological network in Hefei City remained relatively stable over the eight years.

[0068] Control Analysis: From 2013 to 2020, the total comprehensive flow of a typical organic solid waste metabolic network in Hefei City decreased by 5.8%, a relatively small decrease. Analysis shows that the decline in metabolic network flow was mainly caused by the agricultural sector, related to the consumption of agricultural products in industrial production and the discharge of livestock waste from agricultural activities. Agriculture (A) has the largest material input among all sectors of the metabolic network. The direct intensity of the environmental sector, the circular economy sector, the agricultural sector, and the household consumption sector has a significant impact on the comprehensive flow intensity (all greater than 15%), while changes in the comprehensive intensity of these sectors have almost no impact on the direct flow intensity. The manufacturing sector has a more significant impact (indirect flow accounts for more than 80% of the comprehensive flow), and the trend of comprehensive flow intensity changes is consistent with the trend of indirect intensity changes.

[0069] Structural analysis: In 2013, the sector weights were: Agriculture (39.52%) > Environment (29.26%) > Retail Industry (15.03%), Household Consumption (12.66%) > Manufacturing (3.52%). In 2020, the sector weights were: Environment (33.13%) > Agriculture (32.33%) > Household Consumption (17.8%) > Manufacturing (3.27%).

[0070] Utility analysis: The ecological relationships of the typical organic solid waste metabolic system in Hefei City remained basically stable over the past eight years, with five predatory relationships, four controlling relationships and one symbiotic relationship. Exploitative and controlling relationships dominated the system.

[0071] Figure 12 This illustration shows a schematic diagram of a device for constructing a metabolic network diagram of the entire process of multi-source organic solid waste, including material and energy flows, according to an embodiment of this application. The device includes: Framework construction unit 1201 is used to construct the basic theoretical analysis and research framework; Model building unit 1202 is used to construct a typical urban organic solid waste material flow model based on the basic theoretical analysis and research framework. Network construction unit 1203 is used to construct a typical organic solid waste metabolism network in Hefei City based on the typical organic solid waste material flow model of the city.

[0072] Figure 13 The diagram illustrates the structure of a computer device provided in one embodiment of this application, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the computer system function of the method for constructing a metabolic network diagram of the material flow and energy flow of multi-source organic solid waste throughout the entire process as described in any of the above embodiments.

[0073] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a computer, causes the computer to perform the functions of the computer system of the method for constructing the metabolic network diagram of the whole process of multi-source organic solid waste material flow and energy flow in any of the above embodiments.

[0074] This application also provides a computer program product containing instructions that, when executed by a computer, cause the computer to perform the functions of the computer system for constructing the metabolic network diagram of the whole process of multi-source organic solid waste material flow and energy flow in any of the above embodiments.

[0075] It is understood that the specific examples in this application are only intended to help those skilled in the art better understand the implementation methods of this application, and are not intended to limit the scope of the invention.

[0076] It is understood that in the various embodiments of this application, the sequence number of each process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not limit the implementation process of the embodiments of this application in any way.

[0077] It is understood that the various implementation methods described in this application can be implemented individually or in combination, and the implementation methods in this application are not limited in this respect.

[0078] Unless otherwise stated, all technical and scientific terms used in the embodiments of this application have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to limit the scope of this application. The term "and / or" as used in this application includes any and all combinations of one or more of the associated listed items. The singular forms "a," "the," and "the" as used in the embodiments of this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0079] It is understood that the processor in the embodiments of this application can be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method embodiments can be completed by the integrated logic circuits in the processor's hardware or by instructions in software form. The processor can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this application can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules can be located in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. This storage medium is located in memory; the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method.

[0080] It is understood that the memory in the embodiments of this application may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. Specifically, non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory may be random access memory (RAM). It should be noted that the memory in the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0081] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0082] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the aforementioned method implementations, and will not be repeated here.

[0083] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0084] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0085] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0086] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0087] The above are merely specific embodiments of this application, but the scope of protection of this invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this invention should be determined by the scope of the claims.

Claims

1. A method for constructing a multi-source organic solid waste whole-process material flow and energy flow metabolic network diagram, characterized in that, The method comprises: setting up a basic theoretical analysis and research framework; constructing a typical urban organic solid waste material flow model according to the basic theoretical analysis and research framework; constructing a typical organic solid waste metabolic network of Hefei city according to the typical urban organic solid waste material flow model.

2. The method of claim 1, wherein, The setting up of the basic theoretical analysis and research framework comprises: determining the system boundary, demarcating the industrial sector, collecting and sorting data, and modeling analysis.

3. The method of claim 2, wherein, The construction of the typical urban organic solid waste material flow model according to the basic theoretical analysis and research framework comprises: establishing a material flow account, accounting for modules, establishing an evaluation index system, and material flow analysis.

4. The method of claim 3, wherein, The construction of the typical organic solid waste metabolic network of Hefei city according to the typical urban organic solid waste material flow model comprises: determining metabolic nodes, metabolic pathways and network flow, and metabolic network characteristic analysis.

5. The method of claim 4, wherein, The determination of the system boundary, demarcation of the industrial sector, collection and sorting of data, and modeling analysis comprise: demarcating the geographical location and time range of the city metabolic analysis, so that all activities accounted for are within the system boundary; determining the key economic activity sectors involved in the city metabolism research; collecting statistical data and conversion methods related to material flow in key economic sectors within the time range; establishing a model using material flow analysis and ecological network analysis methods to conduct city metabolism research, and analyzing in time series.

6. The method of claim 5, wherein, The establishment of the material flow account, accounting for modules, establishment of the evaluation index system, and material flow analysis comprise: refer to the EW-MFA model and the city metabolism research framework to establish the material flow general account, and divide the metabolic activities involved in the typical urban organic solid waste system into three metabolic sector modules, namely the agricultural activity module, the daily life activity module and the industrial activity module; evaluation indexes are introduced to determine the specific conditions of city metabolism, namely direct material input, regional material consumption, regional resource dependency, trade intensity, and regional material emission index.

7. The method of claim 6, wherein, The determination of metabolic nodes, metabolic pathways and network flow, and metabolic network characteristic analysis comprise: dividing the typical urban organic solid waste metabolic system into an external environment and four economic activity sectors: agriculture, manufacturing, venous processing, and household consumption; based on the ecological network analysis method, the metabolic network is calculated using a matrix, and the metabolic network is quantified through various ecological indexes, namely flow analysis, control analysis, structure analysis, and utility analysis.

8. A device for constructing a multi-source organic solid waste whole-process material flow and energy flow metabolic network diagram, characterized in that, The device comprises: a framework setting unit for setting up a basic theoretical analysis and research framework; a model construction unit for constructing a typical urban organic solid waste material flow model according to the basic theoretical analysis and research framework; a network construction unit for constructing a typical organic solid waste metabolic network of Hefei city according to the typical urban organic solid waste material flow model.

9. An electronic device, comprising: It comprises: a processor and a memory; The processor and the memory are connected, wherein the memory is used to store a computer program, and the processor is used to call the computer program to execute the method of any one of claims 1-7.

10. A computer readable storage medium characterized by, The computer readable storage medium stores a computer program, the computer program comprising program instructions which, when executed by a processor, perform the method of any one of claims 1-7.

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