A footprint space-time accounting method and system

Abstract

The application relates to a footprint space-time accounting method and system, characterized in that the method comprises the following steps: according to an accounting object, determining a foreground industrial chain and an accounting space-time resolution requirement, then determining a foreground footprint data source, and obtaining a foreground footprint data set meeting an evaluation quality requirement; according to the obtained foreground footprint data set meeting the evaluation quality requirement, determining a background industrial chain, combining the accounting space-time resolution requirement, extracting a background footprint data set meeting the evaluation quality requirement from a background footprint database, or determining a background footprint data source and obtaining a background footprint data set meeting the evaluation quality requirement; and based on an improved multi-flow multi-node model, according to the obtained foreground footprint data set meeting the evaluation quality requirement and the background footprint data set, calculating a space-time life cycle footprint data set, and the application can be widely applied to the technical field of information management.

Description

Technical Field

[0001] This invention relates to the field of information management technology, and in particular to a method and system for calculating footprint spatiotemporal data. Background Technology

[0002] Intensive human activities have a significant impact on Earth's natural and social systems, causing a series of ecological and environmental problems and seriously threatening human health. Footprint is a collective term for a series of indicators that quantify the impact of human activities on Earth's natural and social systems, including environmental footprint, economic footprint, and social footprint. Conducting accurate footprint accounting is one of the most important and fundamental requirements for assessing the impact of human activities. Footprint accounting typically follows the life cycle concept, encompassing both the front-end supply chain where the accounting object (human activity, manifested as a specific product) is located and the back-end supply chain that provides material and energy support to the front-end supply chain, in order to avoid the transfer of impact loads between different processes within the entire supply chain.

[0003] However, traditional footprint accounting is typically based on a holistic and static perspective, exhibiting high homogeneity in its spatiotemporal dimensions. This contradicts the high spatiotemporal variability exhibited by real human activity levels and the Earth's natural and social systems, leading to highly uncertain and even misleading results. In terms of time, traditional footprint accounting mostly uses average activity level data with large time steps (e.g., years, months), erasing the differences in high-temporal-resolution activity level data and failing to consider the temporal correlations between different processes within the entire industry chain. This makes the activity level data ineffective in reflecting temporal distribution and transfer characteristics. In terms of space, traditional footprint accounting mostly uses average activity level data at large spatial scales (e.g., countries, provinces), erasing the differences in high-spatial-resolution activity level data and failing to consider the spatial correlations between different processes within the entire industry chain. This makes the activity level data ineffective in reflecting spatial distribution and transfer characteristics.

[0004] Furthermore, due to the spatiotemporal variability of Earth's natural and social systems, the impact of the same level of human activity varies at different times and in different spaces. Therefore, based on the aforementioned practical needs, a method and system capable of achieving comprehensive and accurate spatial footprint accounting is required. Summary of the Invention

[0005] To address the aforementioned problems, the purpose of this invention is to provide a spatialized footprint accounting method and system that can effectively reflect spatial distribution and transfer characteristics as well as temporal distribution and transfer characteristics.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: Firstly, it provides a method for footprint spatiotemporal accounting, comprising:

[0007] Based on the accounting object, the front-end industry chain and the spatiotemporal resolution requirements of the accounting are determined, and then the front-end footprint data source is determined, and a front-end footprint dataset that meets the evaluation quality requirements is obtained.

[0008] Based on the obtained front-end footprint dataset that meets the evaluation quality requirements, determine the back-end industry chain, and in combination with the spatiotemporal resolution requirements of the accounting, extract the back-end footprint dataset that meets the evaluation quality requirements from the back-end footprint database, or determine the back-end footprint data source and obtain the back-end footprint dataset that meets the evaluation quality requirements.

[0009] Based on the improved multi-flow multi-node model, a spatiotemporal lifecycle footprint dataset is calculated according to the obtained front-end footprint dataset and back-end footprint dataset that meet the evaluation quality requirements.

[0010] Furthermore, the process of determining the front-end industry chain and the spatiotemporal resolution requirements for accounting based on the accounting object, thereby determining the front-end footprint data source, and obtaining a front-end footprint dataset that meets the evaluation quality requirements includes:

[0011] Based on the accounting object, identify the spatiotemporal boundaries of the front-end industry chain, the spatiotemporal characteristics of the relevant processes in the front-end industry chain, and the spatiotemporal resolution of the accounting, and then determine the data source of the front-end footprint.

[0012] Collect the identified front-end footprint data sources to form the initial front-end footprint dataset;

[0013] The data in the initial front-end footprint dataset is inspected, and the data in the initial front-end footprint dataset is converted into a unified data format. The quality of the inspected front-end footprint dataset is then evaluated. If it does not meet the pre-set evaluation quality requirements, the front-end footprint data source is redefined.

[0014] Further, the step of determining the back-end industry chain based on the obtained front-end footprint dataset that meets the evaluation quality requirements, and extracting a back-end footprint dataset that meets the evaluation quality requirements from the back-end footprint database in conjunction with the spatiotemporal resolution requirements of the accounting, or determining the back-end footprint data source and obtaining a back-end footprint dataset that meets the evaluation quality requirements, includes:

[0015] A) Extract the initial background footprint dataset of the back-end industry chain corresponding to the front-end industry chain stored in the background footprint database, and evaluate the quality of the extracted initial background footprint dataset. If it does not meet the pre-set evaluation quality requirements, proceed to step B).

[0016] B) Based on the front-end footprint dataset that meets the assessment quality requirements, identify the spatiotemporal boundaries of the back-end industry chain and the spatiotemporal characteristics of related processes in the back-end industry chain. Combined with the spatiotemporal resolution requirements of the accounting, determine the data source of the back-end footprint.

[0017] C) Collect the identified background footprint data sources to form the initial background footprint dataset;

[0018] D) Check the data in the initial background footprint dataset, convert the data in the initial background footprint dataset into a unified data format, and conduct a quality assessment on the checked background footprint dataset. If it does not meet the pre-set assessment quality requirements, proceed to B) redetermine the background footprint data source.

[0019] Furthermore, based on the improved multi-stream, multi-node model, and according to the obtained front-end footprint dataset and back-end footprint dataset that meet the evaluation quality requirements, a spatiotemporal lifecycle footprint dataset is calculated, including:

[0020] Based on the improved multi-stream multi-node model, the initial spatiotemporal lifecycle dataset is calculated according to the front-end footprint dataset and the back-end footprint dataset that meet the pre-set evaluation quality requirements.

[0021] The initial spatiotemporal lifecycle dataset is validated. If the initial spatiotemporal lifecycle dataset meets the pre-set data validation requirements, a data validation report is compiled and published; otherwise, the front-end footprint data source is redefined.

[0022] Furthermore, the construction process of the improved multi-flow, multi-node model is as follows:

[0023] Based on the product production flow, transportation flow and consumption flow in the back-end industry chain, establish the product flow balance relationship at each node of the back-end industry chain.

[0024] Based on the product flow balance relationship at each node of the back-end industry chain, establish the implicit footprint flow balance relationship at each node of the back-end industry chain.

[0025] Based on the product production flow, transportation flow and consumption flow in the front-end industry chain, establish the product flow balance relationship at each node of the front-end industry chain.

[0026] Based on the product flow balance relationship at each node of the front-end industry chain, establish the implicit footprint flow balance relationship of the front-end industry chain at each node, which includes the implicit footprint flow of the embedded back-end industry chain.

[0027] Based on the established product flow balance relationship of the back-end industry chain at each node, the implicit footprint flow balance relationship of the back-end industry chain at each node, the product flow balance relationship of the front-end industry chain at each node, and the implicit footprint flow balance relationship of the front-end industry chain at each node including the embedded implicit footprint flow of the back-end industry chain, the spatiotemporal lifecycle dataset is calculated.

[0028] Furthermore, the product flow balance equation at each node of the back-end supply chain is as follows:

[0029]

[0030] In the formula, t 1，i，k t 2，i，k and t m，i，k These represent the start times of the 1st, 2nd, and mth nodes in the i-th region of the k-th backend supply chain, respectively; Δt represents the set time step; pp 1，i，k (t), pp 2，i，k (t) and pp m，i，k (t) represent the product production flow from the i-th region of the k-th back-end industrial chain to the 1st, 2nd, and m-th nodes at time t, respectively; pt 1，ji，k (t), pt 2，ji，k (t) and pt m，ji，k (t) represent the product transportation flow from region j to region i in the k-th back-end supply chain at time t, flowing into nodes 1, 2, and m, respectively; pc 1，i，k (t), pc 2，i，k (t) and pc m，i，k (t) represent the product consumption flows from the 1st, 2nd, and mth nodes of the ith region in the k-th back-end supply chain at time t, respectively; pt 1，ij，k (t), pt 2，ij，k (t) and pt m，ij，k (t) represent the product transportation flow of the k-th back-end supply chain from the i-th region to the j-th region at time t, and the flow of the product from the 1st, 2nd, and m-th nodes respectively;

[0031] The implicit footprint flow balance equation of the back-end industry chain at each node is as follows:

[0032]

[0033] In the formula, vpi 1，i，k (t), vpi 2，i，k (t) and vpi m，i，k (t) represent the implicit footprint intensity of the product production flow from the i-th region of the k-th back-end industrial chain to the 1st, 2nd, and m-th nodes at time t, respectively; vti 1，ji，k (t), vti 2，ji，k (t) and vti m，ji，k (t) represents the implicit footprint intensity of the product transportation flow from the j-th region to the i-th region in the k-th back-end supply chain at time t, respectively, into the 1st, 2nd, and m-th nodes; vco 1，i，k (t), vco 2，i，k (t) and vco m，i，k (t) represents the implicit footprint intensity of the consumption flow of the 1st, 2nd, and mth nodes of the i-th region of the k-th back-end industrial chain at time t, respectively; vto 1，ij，k(t), vto 2，ij，k (t) and vto m，ij，k (t) represent the implicit footprint intensity of the product transportation flow from the 1st, 2nd and mth nodes of the kth back-end industrial chain at time t, from the 1st region to the jth region;

[0034] The boundary conditions for the implicit footprint flow balance relationship equation at each node of the aforementioned back-end industrial chain are as follows:

[0035]

[0036]

[0037]

[0038]

[0039] In the formula, pr 1，i，k (t), pr 2，i，k (t) and pr m，i，k (t) represent the footprint intensity of the 1st, 2nd, and mth non-transportation processes in the i-th region of the k-th back-end industrial chain at time t, respectively; Δtn 1，i，k , Δtn 2，i，k and Δtn m，i，k These represent the durations of the 1st, 2nd, and mth non-transportation processes in the i-th region of the k-th back-end supply chain, respectively; pr 1，i，k (t-Δtn 1，i，k ), pr 2，i，k (t-Δtn 2，i，k ) and pr m，i，k (t-Δtn m，i，k ) represent t-Δtn respectively 1，i，k The footprint intensity of the first non-transport process in the i-th region of the k-th backend industrial chain at time k, t-Δtn 2，i，k The footprint intensity and t-Δtn of the second non-transport process in the i-th region of the k-th backend industrial chain. m，i，k The footprint intensity of the m-th non-transportation process in the i-th region of the k-th backend industrial chain at time k; tr l，1，ji，k (t), tr l，2，ji，k (t) and tr l，m，ji，k (t) represents the footprint intensity of the k-th back-end supply chain from region j to region i through the 1st, 2nd, and mth transportation processes via region l at time t; p represents the number of regions; Δtt 1，ji，k , Δtt 2，ji，k and Δtt m，ji，k Let represent the durations of the first, second, and m-th transportation processes of the k-th back-end supply chain from the j-th region to the i-th region, respectively;

[0040] The product flow balance equation at each node of the front-end industry chain is as follows:

[0041]

[0042] In the formula, t 1，i t 2，i and t n，i Let pp represent the start times of the 1st, 2nd, and nth nodes in the i-th region of the front-end industry chain, respectively; 1，i (t), pp 2，i (t) and pp n，i (t) represent the product production flow from the i-th region of the front-end industrial chain at time t to the 1st, 2nd, and nth nodes, respectively; pt 1，ji (t), pt 2，ji (t) and pt n，ji (t) represent the product transportation flow from the j-th region to the i-th region and into the 1st, 2nd, and nth nodes of the front-end supply chain at time t, respectively; pc 1，i (t), pc 2，i (t) and pc n，i (t) represent the product consumption flow from the i-th region of the front-end industry chain at time t, namely the 1st, 2nd, and nth nodes; pt 1，ij (t), pt 2，ij (t) and pt n，ij (t) represent the product transportation flow from the i-th region to the j-th region and out of the 1st, 2nd and nth nodes of the front-end industrial chain at time t, respectively;

[0043] The equations for the balance of implicit footprint flows at each node of the front-end industry chain, which includes the embedded back-end industry chain implicit footprint flow, are as follows:

[0044]

[0045] In the formula, vpi 1，i (t), vpi 2，i (t) and vpi n，i (t) represent the implicit footprint intensity of the product production flow from the i-th region of the front-end industrial chain to the 1st, 2nd, and nth nodes at time t, respectively; vti 1，ji (t), vti 2，ji (t) and vti n，ji (t) represents the implicit footprint intensity of the product transportation flow from the j-th region to the i-th region and into the 1st, 2nd, and nth nodes of the front-end supply chain at time t, respectively; vco 1，i (t), vco 2，i (t) and vco n，i(t) represents the implicit footprint intensity of the consumption flow of the 1st, 2nd, and nth nodes of the ith region in the front-end supply chain at time t, respectively; vto 1，ij (t), vto 2，ij (t) and vto n，ij (t) represent the implicit footprint intensity of the front-end supply chain at time t, representing the flow of products from the 1st, 2nd, and nth nodes from the 1st region to the 1st region.

[0046] The boundary conditions for the equilibrium equation of the implicit footprint flow at each node of the front-end industry chain, which includes the embedded implicit footprint flow of the back-end industry chain, are as follows:

[0047]

[0048]

[0049]

[0050]

[0051] In the formula, pr 1，i (t), pr 2，i (t) and pr n，i (t) represents the footprint intensity of the 1st, 2nd, and nth non-transportation processes in the i-th region of the front-end industrial chain at time t, respectively; Δtn 1，i , Δtn 2，i and Δtn n，i These represent the durations of the 1st, 2nd, and nth non-transportation processes in the i-th region of the front-end supply chain, respectively; pr 1，i (t-Δtn 1，i ), pr 2，i (t-Δtn 2，i ) and pr n，i (t-Δtn n，i ) represent t-Δtn respectively 1，i The footprint intensity of the first non-transport process in the i-th region of the front-end supply chain at any given moment, t-Δtn 2，i The footprint intensity and t-Δtn of the second non-transport process in the i-th region of the front-end supply chain at time step. n，i The footprint intensity of the nth non-transportation process in the i-th region of the front-end supply chain at any given moment; bdn 1，i，k (t), bdn 2，i，k (t) and bdn n，i，k (t) represent the final product consumption flow of the k-th back-end industrial chain in the i-th region, embedded in the 1st, 2nd, and nth non-transportation processes of the i-th region of the front-end industrial chain at time t; bdn 1，i，k (t-Δtn 1，i ), bdn2，i，k (t-Δtn 2，i ) and bdn n，i，k (t-Δtn n，i ) represent t-Δtn respectively 1，i The final product consumption flow of the i-th region of the back-end supply chain, embedded in the first non-transport process of the i-th region of the front-end supply chain, t-Δtn 2，i The final product consumption flow and t-Δtn of the back-end supply chain in the i-th region of the front-end supply chain, embedded in the second non-transport process of the i-th region. n，i The final product consumption flow in the i-th region of the back-end supply chain is embedded in the n-th non-transportation process of the i-th region of the front-end supply chain; s represents the number of back-end supply chains; tr l，1，ji (t), tr l，2，ji (t) and tr l，n，ji (t) represents the footprint intensity of the front-end supply chain at time t, where the first, second, and nth transportation processes from region j to region i pass through region l; Δtt 1，ji , Δtt 2，ji and Δtt n，ji Let bdt represent the durations of the first, second, and nth transportation processes in the front-end supply chain from region j to region i, respectively. l，1，ji，k (t), bdt l，2，ji，k (t) and bdt l，n，ji，k (t) represents the final product consumption flow of the kth back-end industrial chain in the i-th region, which is embedded in the front-end industrial chain at time t, from the j-th region to the i-th region in the 1st, 2nd and nth transportation processes, passing through the l-th region.

[0052] Furthermore, the spatiotemporalized lifecycle dataset is as follows:

[0053]

[0054] In the formula, lc i (t n，i +Δtn n+1，i Δt) represents t n，i +Δtn n+1，i To t n，i +Δtn n+1，i +Δt time, the implicit footprint strength of the final product production flow in the i-th region of the front-end supply chain; Δtn n+1，i This represents the duration of the (n+1)th non-transportation process in the i-th region of the front-end supply chain; pr n+1，i (t) represents the footprint intensity of the (n+1)th non-transportation process in the i-th region of the front-end industrial chain at time t; pr n+1，i (t-Δtn n+1，i ) represents t-Δtnn+1，i The footprint intensity of the (n+1)th non-transportation process in the i-th region of the front-end supply chain at any given moment; bdn n+1，i，k (t) represents the final product consumption flow of the k-th back-end supply chain in the i-th region of the i-th non-transportation process embedded in the i-th region of the front-end supply chain at time t; bdn n+1，i，k (t-Δtn n+1，i ) represents t-Δtn n+1，i The final product consumption flow of the i-th region of the back-end industrial chain is embedded in the (n+1)-th non-transportation process of the i-th region of the front-end industrial chain. This represents the final product production flow of the i-th region of the front-end supply chain at time t.

[0055] Secondly, a footprint spatiotemporal accounting system is provided, including:

[0056] The front-end footprint subsystem is used to determine the front-end industry chain and the spatiotemporal resolution requirements of the accounting based on the accounting object, thereby determining the front-end footprint data source and obtaining a front-end footprint dataset that meets the evaluation quality requirements.

[0057] The background footprint subsystem is used to determine the background industry chain based on the obtained front-end footprint dataset that meets the evaluation quality requirements, and extract the background footprint dataset that meets the evaluation quality requirements from the background footprint database in combination with the spatiotemporal resolution requirements of the accounting, or determine the background footprint data source and obtain the background footprint dataset that meets the evaluation quality requirements.

[0058] The lifecycle footprint subsystem is used to calculate the spatiotemporal lifecycle footprint dataset based on the improved multi-flow multi-node model and the obtained front-end footprint dataset and back-end footprint dataset that meet the evaluation quality requirements.

[0059] Thirdly, a processing device is provided, including computer program instructions, wherein when the computer program instructions are executed by the processing device, they are used to implement the steps corresponding to the above-mentioned footprint spatiotemporal accounting method.

[0060] Fourthly, a computer-readable storage medium is provided, wherein computer program instructions are stored on the computer-readable storage medium, wherein the computer program instructions, when executed by a processor, are used to implement the steps corresponding to the above-mentioned footprint spatiotemporal accounting method.

[0061] The present invention has the following advantages due to the adoption of the above technical solutions:

[0062] 1. This invention can obtain different product transportation flows and implicit footprint flows in the spatiotemporal industrial chain, identify the spatiotemporal distribution characteristics of environmental footprint, economic footprint, social footprint, etc., and track their transfer along the industrial chain in the spatiotemporal space.

[0063] 2. This invention has versatility in terms of spatiotemporal resolution. This versatility means that the spatiotemporal resolution can be flexibly set to meet different accounting requirements and objects, thereby generating more application scenarios, such as time series analysis, scenario prediction, spatial layout planning, supply chain optimization, etc.

[0064] 3. This invention is simple to operate and highly practical. It can achieve comprehensive, accurate, objective and scientific footprint accounting, effectively promote the compilation of high spatiotemporal resolution footprint lists, and has a wide range of applications. It can be widely used in the field of information management technology.

[0065] In summary, this invention can be widely applied in the field of information management technology. Attached Figure Description

[0066] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Throughout the drawings, the same reference numerals denote the same parts. In the drawings:

[0067] Figure 1 This is a schematic flowchart of a footprint accounting method provided in an embodiment of the present invention;

[0068] Figure 2 This is a schematic diagram of the structure of an improved multi-flow, multi-node model provided in an embodiment of the present invention. Detailed Implementation

[0069] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the invention and to fully convey the scope of the invention to those skilled in the art.

[0070] It should be understood that the terminology used herein is for the purpose of describing particular exemplary embodiments only and is not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms “a,” “an,” and “described” as used herein may also include the plural forms. The terms “comprising,” “including,” “containing,” and “having” are inclusive and therefore indicate the presence of the stated features, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, elements, components, and / or combinations thereof. The method steps, processes, and operations described herein are not construed as requiring them to be performed in a particular order described or illustrated unless the order of performance is explicitly indicated. It should also be understood that additional or alternative steps may be used.

[0071] Although terms such as first, second, third, etc., may be used in this document to describe multiple elements, components, regions, layers, and / or segments, these elements, components, regions, layers, and / or segments should not be limited by these terms. These terms may be used only to distinguish one element, component, region, layer, or segment from another. Unless the context clearly indicates otherwise, terms such as "first," "second," and other numerical terms used herein do not imply order or sequence. Therefore, the first element, component, region, layer, or segment discussed below may be referred to as the second element, component, region, layer, or segment without departing from the teachings of the exemplary embodiments.

[0072] For ease of description, spatial relative terms may be used in the text to describe the relationship of one element or feature relative to another element or feature as shown in the figure. These relative terms include, for example, "inside," "outside," "middle," "outer," "below," "above," etc. Such spatial relative terms are intended to include different orientations of the device in use or operation, other than those depicted in the figure.

[0073] To address the problem that traditional footprint accounting does not consider the temporal and spatial correlation characteristics between different processes within the entire industry chain, making it impossible for activity level data to effectively reflect temporal and spatial distribution and transfer characteristics, the footprint spatiotemporal accounting method and system provided in this invention adopts an improved multi-flow, multi-node model. Based on the obtained front-end footprint dataset and back-end footprint dataset that meet the assessment quality requirements, a spatiotemporal lifecycle footprint dataset is calculated. This invention can obtain different product transportation flows and implicit footprint flows in the spatiotemporal industry chain, identify the spatiotemporal distribution characteristics of environmental footprint, economic footprint, social footprint, etc., and track their spatiotemporal transfer along the industry chain.

[0074] Terminology Explanation:

[0075] The front-end supply chain refers to the supply chain in which the accounting object resides, while the back-end supply chain refers to the supply chain that provides material and energy support to the front-end supply chain. Each front-end supply chain requires several corresponding back-end supply chains. A characteristic of a supply chain is that a transportation process inevitably connects to a non-transportation process. For example, taking steel products as the object to be evaluated, its front-end supply chain is the steel supply chain. The relevant processes include steel raw material production, raw material transportation, steel production, steel transportation, steel utilization, scrap steel transportation, and scrap steel recycling. It can be seen that each of the above processes requires electricity as an energy source. Therefore, the electricity supply chain is the back-end supply chain of this front-end supply chain, which includes related processes such as fuel extraction, fuel transportation, fuel power generation, and electricity transportation. To form a life cycle dataset, it is necessary to define a front-end supply chain and its corresponding several back-end supply chains.

[0076] Example 1

[0077] like Figure 1 As shown, this embodiment provides a method for calculating the spatiotemporal representation of footprints, including the following steps:

[0078] 1) Based on the accounting object, determine the front-end industry chain and the spatiotemporal resolution requirements for accounting, thereby determining the front-end footprint data source and obtaining a front-end footprint dataset that meets the evaluation quality requirements, specifically:

[0079] 1.1) Based on the accounting object, identify the spatiotemporal boundaries of the front-end industry chain, the spatiotemporal characteristics of the relevant processes of the front-end industry chain, and the spatiotemporal resolution of the accounting, and then determine the data source of the front-end footprint.

[0080] 1.2) Collect the determined front-end footprint data sources to form the initial front-end footprint dataset.

[0081] 1.3) Inspect the data in the initial front-end footprint dataset, convert the data in the initial front-end footprint dataset into a unified data format, and perform a quality assessment on the inspected front-end footprint dataset. If it does not meet the pre-set assessment quality requirements, proceed to step 1.1) to redetermine the front-end footprint data source; otherwise, proceed to step 2).

[0082] 2) Based on the front-end footprint dataset that meets the evaluation quality requirements obtained in step 1), determine the back-end industry chain. Combined with the spatiotemporal resolution requirements of the accounting, extract a back-end footprint dataset from the back-end footprint database that meets the evaluation quality requirements, or determine the back-end footprint data source and obtain a back-end footprint dataset that meets the evaluation quality requirements. Specifically:

[0083] 2.1) Extract the initial background footprint dataset of the back-end industry chain corresponding to the front-end industry chain stored in the background footprint database, and evaluate the quality of the extracted initial background footprint dataset. If it does not meet the pre-set evaluation quality requirements, proceed to step 2.2); otherwise, proceed to step 3).

[0084] 2.2) Based on the front-end footprint dataset that meets the assessment quality requirements, identify the spatiotemporal boundaries of the back-end industry chain and the spatiotemporal characteristics of related processes in the back-end industry chain. Combined with the spatiotemporal resolution requirements of the accounting, determine the data source of the back-end footprint.

[0085] 2.3) Collect the determined background footprint data sources to form the initial background footprint dataset.

[0086] 2.4) Inspect the data in the initial background footprint dataset, convert the data in the initial background footprint dataset into a unified data format, and conduct a quality assessment on the inspected background footprint dataset. If it does not meet the pre-set assessment quality requirements, proceed to step 2.2) to redetermine the background footprint data source; otherwise, proceed to step 3).

[0087] 3) Based on the improved multi-flow, multi-node model, and using the front-end footprint dataset that meets the evaluation quality requirements obtained in step 1) and the back-end footprint dataset that meets the evaluation quality requirements obtained in step 2), a spatiotemporal lifecycle footprint dataset is calculated, specifically as follows:

[0088] 3.1) Based on the improved multi-flow multi-node model, the initial spatiotemporal lifecycle dataset is calculated according to the front-end footprint dataset and the back-end footprint dataset that meet the pre-set evaluation quality requirements.

[0089] like Figure 2 As shown, in the multi-flow, multi-node model, multiple back-end supply chains are embedded in the front-end supply chains. The entire study area is divided according to the spatial resolution of the calculation, forming different sub-regions, which are represented by nodes. Each node represents a sub-region that meets the spatial resolution of the calculation. The spatial resolution setting is flexible depending on the different objects being calculated, and can be at the micro, meso, or even macro scale. Each transportation process in the supply chain is spatialized into a transportation network to characterize the product transportation flow between nodes, as well as the implicit carbon footprint, water footprint, ecological footprint, economic footprint, and social footprint. The construction process of the improved multi-flow, multi-node model is as follows:

[0090] ① Based on the product production flow, transportation flow and consumption flow in the back-end industry chain, establish the product flow balance relationship at each node of the back-end industry chain.

[0091] Specifically, the product flow balance equation at each node of the back-end supply chain is as follows:

[0092]

[0093] In the formula, t 1，i，k t 2，i，k and t m，i，k These represent the start times of the 1st, 2nd, and mth nodes in the i-th region of the k-th backend supply chain, respectively; Δt represents the set time step; pp 1，i，k (t), pp 2，i，k (t) and pp m，i，k (t) represent the product production flow from the i-th region of the k-th back-end industrial chain to the 1st, 2nd, and m-th nodes at time t, respectively; pt 1，ji，k (t), pt 2，ji，k (t) and pt m，ji，k (t) represent the product transportation flow from region j to region i in the k-th back-end supply chain at time t, flowing into nodes 1, 2, and m, respectively; pc 1，i，k (t), pc 2，i，k (t) and pc m，i，k (t) represent the product consumption flows from the 1st, 2nd, and mth nodes of the ith region in the k-th back-end supply chain at time t, respectively; pt 1，ij，k (t), pt 2，ij，k (t) and pt m，ij，k (t) represent the product transportation flow of the k-th back-end industrial chain from the i-th region to the j-th region, and the product transportation flow from the 1st, 2nd, and m-th nodes, respectively, at time t.

[0094] ②Based on the product flow balance relationship at each node of the back-end industry chain, establish the implicit footprint flow balance relationship at each node of the back-end industry chain.

[0095] Specifically, the implicit footprint flow balance equation at each node of the back-end industrial chain is as follows:

[0096]

[0097] In the formula, vpi 1，i，k (t), vpi 2，i，k (t) and vpi m，i，k (t) represent the implicit footprint intensity of the product production flow from the i-th region of the k-th back-end industrial chain to the 1st, 2nd, and m-th nodes at time t, respectively; vti 1，ji，k (t), vti 2，ji，k (t) and vti m，ji，k (t) represents the implicit footprint intensity of the product transportation flow from the j-th region to the i-th region in the k-th back-end supply chain at time t, respectively, into the 1st, 2nd, and m-th nodes; vco 1，i，k (t), vco 2，i，k (t) and vcom，i，k (t) represents the implicit footprint intensity of the consumption flow of the 1st, 2nd, and mth nodes of the i-th region of the k-th back-end industrial chain at time t, respectively; vto 1，ij，k (t), vto 2，ij，k (t) and vto m，ij，k (t) represents the implicit footprint intensity of the product transportation flow from the 1st, 2nd and mth nodes of the kth back-end industrial chain at time t, from the 1st region to the jth region.

[0098] Specifically, the boundary conditions for the implicit footprint flow balance equations at each node of the back-end industrial chain are as follows:

[0099]

[0100]

[0101]

[0102]

[0103] In the formula, pr 1，i，k (t), pr 2，i，k (t) and pr m，i，k (t) represent the footprint intensity of the 1st, 2nd, and mth non-transportation processes in the i-th region of the k-th back-end industrial chain at time t, respectively; Δtn 1，i，k , Δtn 2，i，k and Δtn m，i，k These represent the durations of the 1st, 2nd, and mth non-transportation processes in the i-th region of the k-th back-end supply chain, respectively; pr 1，i，k (t-Δtn 1，i，k ), pr 2，i，k (t-Δtn 2，i，k ) and pr m，i，k (t-Δtn m，i，k ) represent t-Δtn respectively 1，i，k The footprint intensity of the first non-transport process in the i-th region of the k-th backend industrial chain at time k, t-Δtn 2，i，k The footprint intensity and t-Δtn of the second non-transport process in the i-th region of the k-th backend industrial chain. m，i，k The footprint intensity of the m-th non-transportation process in the i-th region of the k-th backend industrial chain at time k; tr l，1，ji，k (t), tr l，2，ji，k (t) and tr l，m，ji，k (t) represents the footprint intensity of the k-th back-end supply chain from region j to region i through the 1st, 2nd, and mth transportation processes via region l at time t; p represents the number of regions; Δtt 1，ji，k , Δtt2，ji，k and Δtt m，ji，k These represent the durations of the first, second, and m-th transportation processes of the k-th back-end supply chain from the j-th region to the i-th region, respectively.

[0104] ③ Based on the product production flow, transportation flow and consumption flow in the front-end industry chain, establish the product flow balance relationship at each node of the front-end industry chain.

[0105] Specifically, the product flow balance equations at each node of the front-end supply chain are as follows:

[0106]

[0107] In the formula, t 1，i t 2，i and t n，i Let pp represent the start times of the 1st, 2nd, and nth nodes in the i-th region of the front-end industry chain, respectively; 1，i (t), pp 2，i (t) and pp n，i (t) represent the product production flow from the i-th region of the front-end industrial chain at time t to the 1st, 2nd, and nth nodes, respectively; pt 1，ji (t), pt 2，ji (t) and pt n，ji (t) represent the product transportation flow from the j-th region to the i-th region and into the 1st, 2nd, and nth nodes of the front-end supply chain at time t, respectively; pc 1，i (t), pc 2，i (t) and pc n，i (t) represent the product consumption flow from the i-th region of the front-end industry chain at time t, namely the 1st, 2nd, and nth nodes; pt 1，ij (t), pt 2，ij (t) and pt n，ij (t) represent the product transportation flow from the i-th region to the j-th region and out of the 1st, 2nd and nth nodes of the front-end industrial chain at time t, respectively.

[0108] ④ Based on the product flow balance relationship at each node of the front-end industry chain, establish the implicit footprint flow balance relationship at each node of the front-end industry chain, which includes the implicit footprint flow of the embedded back-end industry chain.

[0109] Specifically, the equation for the balance relationship of the implicit footprint flow at each node of the front-end industry chain, which includes the embedded back-end industry chain implicit footprint flow, is as follows:

[0110]

[0111] In the formula, vpi 1，i (t), vpi 2，i (t) and vpin，i (t) represent the implicit footprint intensity of the product production flow from the i-th region of the front-end industrial chain to the 1st, 2nd, and nth nodes at time t, respectively; vti 1，ji (t), vti 2，ji (t) and vti n，ji (t) represents the implicit footprint intensity of the product transportation flow from the j-th region to the i-th region and into the 1st, 2nd, and nth nodes of the front-end supply chain at time t, respectively; vco 1，i (t), vco 2，i (t) and vco n，i (t) represents the implicit footprint intensity of the consumption flow of the 1st, 2nd, and nth nodes of the ith region in the front-end supply chain at time t, respectively; vto 1，ij (t), vto 2，ij (t) and vto n，ij (t) represents the implicit footprint intensity of the front-end industrial chain at time t, representing the flow of products from the 1st, 2nd, and nth nodes from the 1st region to the 1st region.

[0112] Specifically, the boundary conditions for the equilibrium equation of the implicit footprint flow at each node of the front-end industry chain, which includes the embedded implicit footprint flow of the back-end industry chain, are as follows:

[0113]

[0114]

[0115]

[0116]

[0117] In the formula, pr 1，i (t), pr 2，i (t) and pr n，i (t) represents the footprint intensity of the 1st, 2nd, and nth non-transportation processes in the i-th region of the front-end industrial chain at time t, respectively; Δtn 1，i , Δtn 2，i and Δtn n，i These represent the durations of the 1st, 2nd, and nth non-transportation processes in the i-th region of the front-end supply chain, respectively; pr 1，i (t-Δtn 1，i ), pr 2，i (t-Δtn 2，i ) and pr n，i (t-Δtn n，i ) represent t-Δtn respectively 1，i The footprint intensity of the first non-transport process in the i-th region of the front-end supply chain at any given moment, t-Δtn 2，iThe footprint intensity and t-Δtn of the second non-transport process in the i-th region of the front-end supply chain at time step. n，i The footprint intensity of the nth non-transportation process in the i-th region of the front-end supply chain at any given moment; bdn 1，i，k (t), bdn 2，i，k (t) and bdn n，i，k (t) represent the final product consumption flow of the k-th back-end industrial chain in the i-th region, embedded in the 1st, 2nd, and nth non-transportation processes of the i-th region of the front-end industrial chain at time t; bdn 1，i，k (t-Δtn 1，i ), bdn 2，i，k (t-Δtn 2，i ) and bdn n，i，k (t-Δtn n，i ) represent t-Δtn respectively 1，i The final product consumption flow of the i-th region of the back-end supply chain, embedded in the first non-transport process of the i-th region of the front-end supply chain, t-Δtn 2，i The final product consumption flow and t-Δtn of the back-end supply chain in the i-th region of the front-end supply chain, embedded in the second non-transport process of the i-th region. n，i The final product consumption flow in the i-th region of the back-end supply chain is embedded in the n-th non-transportation process of the i-th region of the front-end supply chain; s represents the number of back-end supply chains; tr l，1，ji (t), tr l，2，ji (t) and tr l，n，ji (t) represents the footprint intensity of the front-end supply chain at time t, where the first, second, and nth transportation processes from region j to region i pass through region l; Δtt 1，ji , Δtt 2，ji and Δtt n，ji Let bdt represent the durations of the first, second, and nth transportation processes in the front-end supply chain from region j to region i, respectively. l，1，ji，k (t), bdt l，2，ji，k (t) and bdt l，n，ji，k (t) represents the final product consumption flow of the kth back-end industrial chain in the i-th region, which is embedded in the front-end industrial chain at time t, from the j-th region to the i-th region in the 1st, 2nd and nth transportation processes, passing through the l-th region.

[0118] ⑤ Based on the established product flow balance relationship of the back-end industry chain at each node, the implicit footprint flow balance relationship of the back-end industry chain at each node, the product flow balance relationship of the front-end industry chain at each node, and the implicit footprint flow balance relationship of the front-end industry chain at each node including the embedded implicit footprint flow of the back-end industry chain, calculate the spatiotemporal life cycle implicit footprint flow, i.e., the spatiotemporal life cycle dataset.

[0119] The spatiotemporal lifecycle implicit footprint stream, i.e., the spatiotemporal lifecycle dataset, is as follows:

[0120]

[0121] In the formula, lc i (t n，i +Δtn n+1，i Δt) represents t n，i +Δtn n+1，i To t n，i +Δtn n+1，i +Δt time, the implicit footprint strength of the final product production flow in the i-th region of the front-end supply chain; Δtn n+1，i This represents the duration of the (n+1)th non-transportation process in the i-th region of the front-end supply chain; pr n+1，i (t) represents the footprint intensity of the (n+1)th non-transportation process in the i-th region of the front-end industrial chain at time t; pr n+1，i (t-Δtn n+1，i ) represents t-Δtn n+1，i The footprint intensity of the (n+1)th non-transportation process in the i-th region of the front-end supply chain at any given moment; bdn n+1，i，k (t) represents the final product consumption flow of the k-th back-end supply chain in the i-th region of the i-th non-transportation process embedded in the i-th region of the front-end supply chain at time t; bdn n+1，i，k (t-Δtn n+1，i ) represents t-Δtn n+1，i The final product consumption flow of the i-th region of the back-end supply chain is embedded in the (n+1)-th non-transportation process of the i-th region of the front-end supply chain; fp i (t) represents the final product production flow of the i-th region of the front-end industrial chain at time t.

[0122] 3.2) Perform data validation on the initial spatiotemporal lifecycle dataset. If the initial spatiotemporal lifecycle dataset meets the pre-set data validation requirements, compile a data validation report and publish it; otherwise, proceed to step 1.1) redetermine the front-end footprint data source. For example, data validation can include internal validation and external validation. Internal validation can be a pre-validation based on existing research and evaluation to determine whether the lifecycle data meets the pre-set requirements. External validation can be to determine whether the lifecycle data meets industry or industry data standards.

[0123] The most significant difference between the improved multi-flow, multi-node model used in this invention and the traditional multi-flow, multi-node model lies in the integration of temporal information. This imbues the research object with temporal attributes, enabling better identification and management. Furthermore, the addition of temporal attributes enhances the model's resolution on a temporal scale, improving its accuracy. Simultaneously, it identifies and interprets the temporal variability of the environmental footprint, revealing its shifts across different time periods, thus facilitating the discovery of new knowledge and findings in time and even space.

[0124] Example 2

[0125] This embodiment provides a footprint spatiotemporal accounting system, including:

[0126] The front-end footprint subsystem is used to determine the front-end industry chain and the spatiotemporal resolution requirements of the accounting based on the accounting object, thereby determining the front-end footprint data source and obtaining a front-end footprint dataset that meets the evaluation quality requirements.

[0127] The background footprint subsystem is used to determine the background industry chain based on the obtained front-end footprint dataset that meets the evaluation quality requirements, and extract the background footprint dataset that meets the evaluation quality requirements from the background footprint database in combination with the spatiotemporal resolution requirements of the accounting, or determine the background footprint data source and obtain the background footprint dataset that meets the evaluation quality requirements.

[0128] The lifecycle footprint subsystem is used to calculate the spatiotemporal lifecycle footprint dataset based on the improved multi-flow multi-node model and the obtained front-end footprint dataset and back-end footprint dataset that meet the evaluation quality requirements.

[0129] In a preferred embodiment, the foreground footprint subsystem includes:

[0130] The front-end footprint data source definition module is used to identify the spatiotemporal boundaries of the front-end industry chain, the spatiotemporal characteristics of the relevant processes of the front-end industry chain, and the spatiotemporal resolution of the accounting based on the accounting object, thereby determining the front-end footprint data source.

[0131] The front-end footprint data acquisition module is used to collect data from a defined front-end footprint data source to form an initial front-end footprint dataset.

[0132] The front-end footprint data processing module is used to check the data in the initial front-end footprint dataset, convert the data in the initial front-end footprint dataset into a unified data format, and perform quality assessment on the checked front-end footprint dataset to obtain a front-end footprint dataset that meets the pre-set assessment quality requirements.

[0133] In a preferred embodiment, the background footprint subsystem includes:

[0134] The background footprint data extraction module is used to extract the initial background footprint dataset of the back-end industry chain corresponding to the front-end industry chain stored in the background footprint database, and to perform quality evaluation on the extracted initial background footprint dataset to obtain a background footprint dataset that meets the pre-set evaluation quality requirements.

[0135] The background footprint data source definition module is used to identify the spatiotemporal boundaries of the background industry chain and the spatiotemporal characteristics of related processes in the background industry chain based on the front-end footprint dataset that meets the evaluation quality requirements when the background footprint dataset extracted by the background footprint data extraction module does not meet the pre-set evaluation quality requirements. Combined with the spatiotemporal resolution requirements of the accounting, the module determines the background footprint data source.

[0136] The background footprint data acquisition module is used to collect data from a defined background footprint data source to form an initial background footprint dataset.

[0137] The background footprint data processing module is used to check the data in the initial background footprint dataset, convert the data in the initial background footprint dataset into a unified data format, and perform quality assessment on the checked background footprint dataset to obtain a background footprint dataset that meets the pre-set assessment quality requirements.

[0138] In a preferred embodiment, the lifecycle footprint subsystem includes:

[0139] The lifecycle footprint data spatiotemporal integration module is used to calculate the initial spatiotemporalized lifecycle dataset based on the improved multi-stream, multi-node model and the front-end and back-end footprint datasets that meet pre-defined evaluation quality requirements. The construction process of the improved multi-stream, multi-node model has been described in detail in the above embodiments and will not be repeated here.

[0140] The lifecycle footprint data verification module is used to verify the initial spatiotemporal lifecycle dataset, compile a data verification report, and publish it.

[0141] Example 3

[0142] This embodiment provides a processing device corresponding to the footprint spatiotemporal accounting method provided in Embodiment 1. The processing device can be a client-side processing device, such as a mobile phone, laptop, tablet computer, desktop computer, etc., to execute the method of Embodiment 1.

[0143] The processing device includes a processor, a memory, a communication interface, and a bus. The processor, memory, and communication interface are connected via the bus to enable communication between them. The memory stores a computer program that can run on the processing device. When the processing device runs the computer program, it executes the footprint spatiotemporal accounting method provided in Embodiment 1.

[0144] In some implementations, the memory may be high-speed random access memory (RAM), and may also include non-volatile memory, such as at least one disk storage device.

[0145] In other implementations, the processor can be any type of general-purpose processor, such as a central processing unit (CPU) or a digital signal processor (DSP), and there is no limitation here.

[0146] Example 4

[0147] This embodiment provides a computer program product corresponding to the footprint spatiotemporal accounting method provided in Embodiment 1. The computer program product may include a computer-readable storage medium on which computer-readable program instructions for executing the footprint spatiotemporal accounting method described in Embodiment 1 are loaded.

[0148] A computer-readable storage medium can be a tangible device that holds and stores instructions for use by an instruction execution device. A computer-readable storage medium can be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof.

[0149] The above embodiments are only used to illustrate the present invention. The structure, connection method and manufacturing process of each component can be varied. All equivalent transformations and improvements made on the basis of the technical solution of the present invention should not be excluded from the protection scope of the present invention.

Claims

1. A method for spatial-temporal footprint accounting, characterized in that, include: Based on the accounting object, the front-end industry chain and the spatiotemporal resolution requirements of the accounting are determined, and then the front-end footprint data source is determined, and a front-end footprint dataset that meets the evaluation quality requirements is obtained. Based on the obtained front-end footprint dataset that meets the evaluation quality requirements, determine the back-end industry chain, and in combination with the spatiotemporal resolution requirements of the accounting, extract the back-end footprint dataset that meets the evaluation quality requirements from the back-end footprint database, or determine the back-end footprint data source and obtain the back-end footprint dataset that meets the evaluation quality requirements. Based on the improved multi-flow multi-node model, a spatiotemporal lifecycle footprint dataset is calculated according to the obtained front-end footprint dataset and back-end footprint dataset that meet the evaluation quality requirements. The construction process of the improved multi-flow, multi-node model is as follows: Based on the product production flow, transportation flow and consumption flow in the back-end industry chain, establish the product flow balance relationship at each node of the back-end industry chain. Based on the product flow balance relationship at each node of the back-end industry chain, establish the implicit footprint flow balance relationship at each node of the back-end industry chain. Based on the product production flow, transportation flow and consumption flow in the front-end industry chain, establish the product flow balance relationship at each node of the front-end industry chain. Based on the product flow balance relationship at each node of the front-end industry chain, establish the implicit footprint flow balance relationship of the front-end industry chain at each node, which includes the implicit footprint flow of the embedded back-end industry chain. Based on the established product flow balance relationship of the back-end industry chain at each node, the implicit footprint flow balance relationship of the back-end industry chain at each node, the product flow balance relationship of the front-end industry chain at each node, and the implicit footprint flow balance relationship of the front-end industry chain at each node including the embedded implicit footprint flow of the back-end industry chain, the spatiotemporal lifecycle dataset is calculated. The equations for the product flow balance relationship at each node of the back-end industry chain are as follows: In the formula, , and They represent the first The first back-end industry chain The first, second, and third regions The start time of each node; Indicates the set time step; , and They represent Time of the first The first back-end industry chain The regions flowed into the first, second, and third... Product production flow at each node; , and They represent Time of the first The back-end industry chain starts from the first The area to the first The regions flowed into the first, second, and third... Product transport flow at each node; , and They represent Time of the first The first back-end industry chain The first, second, and third regions experienced outflows. Product consumption flow at each node; , and They represent Time of the first The back-end industry chain starts from the first The area to the first The first, second, and third regions experienced outflows. Product transport flow at each node; The implicit footprint flow balance equation of the back-end industry chain at each node is as follows: In the formula, , and They represent Time of the first The first back-end industry chain The regions flowed into the first, second, and third... The implicit footprint strength of the product production flow at each node; , and They represent Time of the first The back-end industry chain starts from the first The area to the first The regions flowed into the first, second, and third... The implicit footprint intensity of product transport flow at each node; , and They represent Time of the first The first back-end industry chain The first, second, and third regions experienced outflows. The implicit footprint strength of product consumption flow at each node; , and They represent Time of the first The back-end industry chain starts from the first The area to the first The first, second, and third regions experienced outflows. The implicit footprint intensity of product transport flow at each node; The boundary conditions for the implicit footprint flow balance relationship equation at each node of the aforementioned back-end industrial chain are as follows: In the formula, , and They represent Time of the first The first back-end industry chain The first, second, and third regions The footprint intensity of a non-transportation process; , and They represent the first The first back-end industry chain The first, second, and third regions The duration of a non-transportation process; , and They represent Time of the first The first back-end industry chain The footprint intensity of the first non-transportation process in each region Time of the first The first back-end industry chain The footprint intensity of the second non-transportation process in each region and Time of the first The first back-end industry chain The first region The footprint intensity of a non-transportation process; , and They represent Time of the first The back-end industry chain starts from the first The area to the first The first, second, and third regions The transportation process passes through the first Footprint intensity in each region; Indicates the number of regions; , and They represent the first The back-end industry chain starts from the first The area to the first The first, second, and third regions The duration of each transportation process; The product flow balance equation at each node of the front-end industry chain is as follows: In the formula, , and These represent the front-end industry chain level. The first, second, and third regions The start time of each node; , and They represent The front end of the industry chain at all times The regions flowed into the first, second, and third... Product production flow at each node; , and They represent The front end of the industry chain from the first The area to the first The regions flowed into the first, second, and third... Product transport flow at each node; , and They represent The front end of the industry chain at all times The first, second, and third regions experienced outflows. Product consumption flow at each node; , and They represent The front end of the industry chain from the first The area to the first The first, second, and third regions experienced outflows. Product transport flow at each node; The equations for the balance of implicit footprint flows at each node of the front-end industry chain, which includes the embedded back-end industry chain implicit footprint flow, are as follows: In the formula, , and They represent The front end of the industry chain at all times The regions flowed into the first, second, and third... The implicit footprint strength of the product production flow at each node; , and They represent The front end of the industry chain from the first The area to the first The regions flowed into the first, second, and third... The implicit footprint intensity of product transport flow at each node; , and They represent The front end of the industry chain at all times The first, second, and third regions experienced outflows. The implicit footprint strength of product consumption flow at each node; , and They represent The front end of the industry chain from the first The area to the first The first, second, and third regions experienced outflows. The implicit footprint intensity of product transport flow at each node; The boundary conditions for the equilibrium equation of the implicit footprint flow at each node of the front-end industry chain, which includes the embedded implicit footprint flow of the back-end industry chain, are as follows: In the formula, , and They represent The front end of the industry chain at all times The first, second, and third regions The footprint intensity of a non-transportation process; , and These represent the front-end industry chain level. The first, second, and third regions The duration of a non-transportation process; , and They represent The front end of the industry chain at all times The footprint intensity of the first non-transportation process in each region The front end of the industry chain at all times The footprint intensity of the second non-transportation process in each region and The front end of the industry chain at all times The first region The footprint intensity of a non-transportation process; , and They represent Always embedded in the front end of the industry chain The first, second, and third regions The first non-transportation process The first back-end industry chain The final product consumption flow in each region; , and They represent Always embedded in the front end of the industry chain The first non-transportation process in the region The first back-end industry chain Final product consumption flow in each region Always embedded in the front end of the industry chain The second non-transportation process in the region The first back-end industry chain Final product consumption flow in each region and Always embedded in the front end of the industry chain The first region The first non-transportation process The first back-end industry chain The final product consumption flow in each region; Indicates the number of back-end industry chains; , and They represent The front end of the industry chain from the first The area to the first The first, second, and third regions The transportation process passes through the first Footprint intensity in each region; , and These represent the front-end industry chain from the first... The area to the first The first, second, and third regions The duration of each transportation process; , and They represent Constantly embedded in the front-end industry chain from the first The area to the first The first, second, and third regions The transportation process passes through the first The first region The first back-end industry chain The final product consumption flow in each region.

2. The footprint spatiotemporal accounting method as described in claim 1, characterized in that, The process involves determining the front-end industry chain and the required spatiotemporal resolution for accounting based on the accounting object, thereby determining the front-end footprint data source and obtaining a front-end footprint dataset that meets the evaluation quality requirements, including: Based on the accounting object, identify the spatiotemporal boundaries of the front-end industry chain, the spatiotemporal characteristics of the relevant processes in the front-end industry chain, and the spatiotemporal resolution of the accounting, and then determine the data source of the front-end footprint. Collect the identified front-end footprint data sources to form the initial front-end footprint dataset; The data in the initial front-end footprint dataset is inspected, and the data in the initial front-end footprint dataset is converted into a unified data format. The quality of the inspected front-end footprint dataset is then evaluated. If it does not meet the pre-set evaluation quality requirements, the front-end footprint data source is redefined.

3. The footprint spatiotemporal accounting method as described in claim 1, characterized in that, The process of determining the back-end industry chain based on the obtained front-end footprint dataset that meets the evaluation quality requirements, and extracting a back-end footprint dataset that meets the evaluation quality requirements from the back-end footprint database, in conjunction with the spatiotemporal resolution requirements of the accounting, or determining the back-end footprint data source and obtaining a back-end footprint dataset that meets the evaluation quality requirements, includes: A) Extract the initial back-end footprint dataset of the back-end industry chain corresponding to the front-end industry chain stored in the back-end footprint database, and evaluate the quality of the extracted initial back-end footprint dataset. If it does not meet the pre-set evaluation quality requirements, proceed to step B). B) Based on the front-end footprint dataset that meets the assessment quality requirements, identify the spatiotemporal boundaries of the back-end industry chain and the spatiotemporal characteristics of related processes in the back-end industry chain. Combined with the spatiotemporal resolution requirements of the accounting, determine the data source of the back-end footprint. C) Collect the identified background footprint data sources to form the initial background footprint dataset; D) Check the data in the initial background footprint dataset, convert the data in the initial background footprint dataset into a unified data format, and conduct a quality assessment on the checked background footprint dataset. If it does not meet the pre-set assessment quality requirements, proceed to B) redetermine the background footprint data source.

4. The footprint spatiotemporal accounting method as described in claim 1, characterized in that, The improved multi-stream, multi-node model calculates a spatiotemporal lifecycle footprint dataset based on the obtained front-end footprint dataset and back-end footprint dataset that meet the evaluation quality requirements, including: Based on the improved multi-stream multi-node model, the initial spatiotemporal lifecycle dataset is calculated according to the front-end footprint dataset and the back-end footprint dataset that meet the pre-set evaluation quality requirements. The initial spatiotemporal lifecycle dataset is validated. If the initial spatiotemporal lifecycle dataset meets the pre-set data validation requirements, a data validation report is compiled and published; otherwise, the front-end footprint data source is redefined.

5. The footprint spatiotemporal accounting method as described in claim 1, characterized in that, The spatiotemporalized lifecycle dataset is: In the formula, express to The front end of the industry chain at all times The implied footprint intensity of the final product production flow in each region; Indicates the front-end industry chain. The first region The duration of a non-transportation process; express The front end of the industry chain at all times The first region The footprint intensity of a non-transportation process; express The front end of the industry chain at all times The first region The footprint intensity of a non-transportation process; express Always embedded in the front end of the industry chain The first region The first non-transportation process The first back-end industry chain The final product consumption flow in each region; express Always embedded in the front end of the industry chain The first region The first non-transportation process The first back-end industry chain The final product consumption flow in each region; express The front end of the industry chain at all times The final product production flow in each region.

6. A footprint spatiotemporal accounting system, characterized in that, include: The front-end footprint subsystem is used to determine the front-end industry chain and the spatiotemporal resolution requirements of the accounting based on the accounting object, thereby determining the front-end footprint data source and obtaining a front-end footprint dataset that meets the evaluation quality requirements. The background footprint subsystem is used to determine the background industry chain based on the obtained front-end footprint dataset that meets the evaluation quality requirements, and extract the background footprint dataset that meets the evaluation quality requirements from the background footprint database in combination with the spatiotemporal resolution requirements of the accounting, or determine the background footprint data source and obtain the background footprint dataset that meets the evaluation quality requirements. The lifecycle footprint subsystem is used to calculate the spatiotemporal lifecycle footprint dataset based on the improved multi-flow multi-node model and the obtained front-end footprint dataset and back-end footprint dataset that meet the evaluation quality requirements. The construction process of the improved multi-flow, multi-node model is as follows: Based on the product production flow, transportation flow and consumption flow in the back-end industry chain, establish the product flow balance relationship at each node of the back-end industry chain. Based on the product flow balance relationship at each node of the back-end industry chain, establish the implicit footprint flow balance relationship at each node of the back-end industry chain. Based on the product production flow, transportation flow and consumption flow in the front-end industry chain, establish the product flow balance relationship at each node of the front-end industry chain. Based on the product flow balance relationship at each node of the front-end industry chain, establish the implicit footprint flow balance relationship of the front-end industry chain at each node, which includes the implicit footprint flow of the embedded back-end industry chain. Based on the established product flow balance relationship of the back-end industry chain at each node, the implicit footprint flow balance relationship of the back-end industry chain at each node, the product flow balance relationship of the front-end industry chain at each node, and the implicit footprint flow balance relationship of the front-end industry chain at each node including the embedded implicit footprint flow of the back-end industry chain, the spatiotemporal lifecycle dataset is calculated. The equations for the product flow balance relationship at each node of the back-end industry chain are as follows: In the formula, , and They represent the first The first back-end industry chain The first, second, and third regions The start time of each node; Indicates the set time step; , and They represent Time of the first The first back-end industry chain The regions flowed into the first, second, and third... Product production flow at each node; , and They represent Time of the first The back-end industry chain starts from the first The area to the first The regions flowed into the first, second, and third... Product transport flow at each node; , and They represent Time of the first The first back-end industry chain The first, second, and third regions experienced outflows. Product consumption flow at each node; , and They represent Time of the first The back-end industry chain starts from the first The area to the first The first, second, and third regions experienced outflows. Product transport flow at each node; The implicit footprint flow balance equation of the back-end industry chain at each node is as follows: In the formula, , and They represent Time of the first The first back-end industry chain The regions flowed into the first, second, and third... The implicit footprint strength of the product production flow at each node; , and They represent Time of the first The back-end industry chain starts from the first The area to the first The regions flowed into the first, second, and third... The implicit footprint intensity of product transport flow at each node; , and They represent Time of the first The first back-end industry chain The first, second, and third regions experienced outflows. The implicit footprint strength of product consumption flow at each node; , and They represent Time of the first The back-end industry chain starts from the first The area to the first The first, second, and third regions experienced outflows. The implicit footprint intensity of product transport flow at each node; The boundary conditions for the implicit footprint flow balance relationship equation at each node of the aforementioned back-end industrial chain are as follows: In the formula, , and They represent Time of the first The first back-end industry chain The first, second, and third regions The footprint intensity of a non-transportation process; , and They represent the first The first back-end industry chain The first, second, and third regions The duration of a non-transportation process; , and They represent Time of the first The first back-end industry chain The footprint intensity of the first non-transportation process in each region Time of the first The first back-end industry chain The footprint intensity of the second non-transportation process in each region and Time of the first The first back-end industry chain The first region The footprint intensity of a non-transportation process; , and They represent Time of the first The back-end industry chain starts from the first The area to the first The first, second, and third regions The transportation process passes through the first Footprint intensity in each region; Indicates the number of regions; , and They represent the first The back-end industry chain starts from the first The area to the first The first, second, and third regions The duration of each transportation process; The product flow balance equation at each node of the front-end industry chain is as follows: In the formula, , and These represent the front-end industry chain level. The first, second, and third regions The start time of each node; , and They represent The front end of the industry chain at all times The regions flowed into the first, second, and third... Product production flow at each node; , and They represent The front end of the industry chain from the first The area to the first The regions flowed into the first, second, and third... Product transport flow at each node; , and They represent The front end of the industry chain at all times The first, second, and third regions experienced outflows. Product consumption flow at each node; , and They represent The front end of the industry chain from the first The area to the first The first, second, and third regions experienced outflows. Product transport flow at each node; The equations for the balance of implicit footprint flows at each node of the front-end industry chain, which includes the embedded back-end industry chain implicit footprint flow, are as follows: In the formula, , and They represent The front end of the industry chain at all times The regions flowed into the first, second, and third... The implicit footprint strength of the product production flow at each node; , and They represent The front end of the industry chain from the first The area to the first The regions flowed into the first, second, and third... The implicit footprint intensity of product transport flow at each node; , and They represent The front end of the industry chain at all times The first, second, and third regions experienced outflows. The implicit footprint strength of product consumption flow at each node; , and They represent The front end of the industry chain from the first The area to the first The first, second, and third regions experienced outflows. The implicit footprint intensity of product transport flow at each node; The boundary conditions for the equilibrium equation of the implicit footprint flow at each node of the front-end industry chain, which includes the embedded implicit footprint flow of the back-end industry chain, are as follows: In the formula, , and They represent The front end of the industry chain at all times The first, second, and third regions The footprint intensity of a non-transportation process; , and These represent the front-end industry chain level. The first, second, and third regions The duration of a non-transportation process; , and They represent The front end of the industry chain at all times The footprint intensity of the first non-transportation process in each region The front end of the industry chain at all times The footprint intensity of the second non-transportation process in each region and The front end of the industry chain at all times The first region The footprint intensity of a non-transportation process; , and They represent Always embedded in the front end of the industry chain The first, second, and third regions The first non-transportation process The first back-end industry chain The final product consumption flow in each region; , and They represent Always embedded in the front end of the industry chain The first non-transportation process in the region The first back-end industry chain Final product consumption flow in each region Always embedded in the front end of the industry chain The second non-transportation process in the region The first back-end industry chain Final product consumption flow in each region and Always embedded in the front end of the industry chain The first region The first non-transportation process The first back-end industry chain The final product consumption flow in each region; Indicates the number of back-end industry chains; , and They represent The front end of the industry chain from the first The area to the first The first, second, and third regions The transportation process passes through the first Footprint intensity in each region; , and These represent the front-end industry chain from the first... The area to the first The first, second, and third regions The duration of each transportation process; , and They represent Constantly embedded in the front-end industry chain from the first The area to the first The first, second, and third regions The transportation process passes through the first The first region The first back-end industry chain The final product consumption flow in each region.

7. A processing device, characterized in that, It includes computer program instructions, wherein when the computer program instructions are executed by a processing device, they are used to implement the steps corresponding to the footprint spatiotemporal accounting method according to any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer program instructions, wherein when the computer program instructions are executed by a processor, they are used to implement the steps corresponding to the footprint spatiotemporal accounting method according to any one of claims 1-5.

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