Ultra-high voltage substation carbon emission structure relationship identification system based on whole life cycle

Abstract

This invention relates to the field of electrical digital data processing technology, specifically to a carbon emission structure relationship identification system for ultra-high voltage (UHV) substations based on the entire life cycle. The system's steps include: determining evaluation factors for the target stage using the target carbon emission amount and the total carbon emission amount of similar stages; filtering the evaluation factor sequence (composed of various evaluation factors in chronological order) to obtain target exclusion stages and target retention stages using the carbon emission slope of each carbon emission amount in the similar stage containing the target carbon emission amount; determining the target retention coordinates composed of the evaluation factors and carbon emission slopes of the target retention stages, and determining the sample space formed by the target retention coordinates; and using the target exclusion stages to perform matching and clustering on the target retention stages in the sample space to obtain the emission structure relationship between the target retention stages. This invention improves the accuracy of identifying carbon emission relationships at each stage of an UHV substation.

Description

Technical Field

[0001] This invention relates to the field of electrical digital data processing technology, specifically to a carbon emission structure relationship identification system for ultra-high voltage substations based on the entire life cycle. Background Technology

[0002] The entire life cycle of an ultra-high voltage substation refers to the complex carbon emission activities in various aspects, such as construction machinery fuel consumption, concrete usage, and power operation energy consumption, that occur during the design, construction, operation, and decommissioning and dismantling of the substation. Due to the different continuity of data collection, the data collection and verification process failed to consider the relationship characteristics of carbon emissions at each stage, resulting in inaccurate verification results. This leads to errors in the identification of carbon emission relationships, incorrect classification of carbon emission amounts, and inaccurate description of the carbon emission process.

[0003] Existing technologies use modeling methods such as random forests and support vector machines to determine the carbon emission boundaries corresponding to the process, and extract the carbon emission results corresponding to different stages based on the differentiation results. They consider the similarity of carbon emission values, but do not evaluate the emission characteristics of carbon emissions at the current stage. This results in incorrect classification of carbon emissions, leading to deviations in the identification of carbon emission relationships. Summary of the Invention

[0004] To address the technical problem of low accuracy in identifying carbon emission relationships at different stages of ultra-high voltage (UHV) substations, the present invention aims to provide a carbon emission structure relationship identification system for UHV substations based on the entire life cycle. The specific technical solution adopted is as follows:

[0005] This invention provides a system for identifying the carbon emission structure of ultra-high voltage substations based on the entire life cycle, the system comprising:

[0006] The environmental assessment module is used to determine the evaluation factors of the target process in relation to its carbon emission environment by using the target carbon emissions of the target process and the total carbon emissions of the corresponding similar processes.

[0007] The process filtering module is used to filter the evaluation factor sequence composed of various evaluation factors in time order by utilizing the carbon emission slope of each carbon emission in the same type of process where the target carbon emission is located, so as to obtain the target exclusion process and the target retention process.

[0008] The spatial construction module is used to determine the target retention coordinates, which are composed of the evaluation factors and carbon emission slope of the target retention link, and to determine the sample space formed by each target retention coordinate;

[0009] The emission clustering module is used to match and cluster target retention links in the sample space using the target exclusion link, so as to obtain the emission structure relationship between the target retention links.

[0010] Furthermore, the determination of evaluation factors for the carbon emission environment of the target process using the target carbon emissions of the target process and the total carbon emissions of its corresponding similar processes includes:

[0011] Determine the target carbon emission ratio between the target carbon emission of the target process and the total carbon emission of the corresponding similar process;

[0012] Using the target carbon emission percentage, the evaluation factors for the target process in relation to its carbon emission environment are determined.

[0013] Furthermore, the determination of evaluation factors for the target process regarding its carbon emission environment using the target carbon emission ratio includes:

[0014] Determine the carbon emission slope of each carbon emission in the same category of the target carbon emission, as well as the average slope of the carbon emission slope in the same category of the target carbon emission;

[0015] Using the target carbon emission percentage, the carbon emission slope, and the average slope, the evaluation factor of the target process in relation to its carbon emission environment is calculated.

[0016] Furthermore, the step of using the carbon emission slope of each carbon emission in the same category of the target carbon emission to filter the evaluation factor sequence composed of various evaluation factors in time sequence to obtain the target exclusion stage and the target retention stage includes:

[0017] By utilizing the carbon emission slope of each carbon emission in the same category of the target carbon emission, we can determine the intervals of consecutive directions with the same slope.

[0018] By constructing filter kernels using intervals with the same slope direction, the filter kernels are used to filter the evaluation factor sequence composed of various evaluation factors in time order to obtain the target exclusion stage and the target retention stage.

[0019] Furthermore, the step of constructing a filter kernel using intervals with the same slope direction, and using the filter kernel to perform step filtering on the evaluation factor sequence composed of various evaluation factors in time order to obtain the target exclusion step and the target retention step, includes:

[0020] The average length of each interval with the same slope direction is used as the length of the filter kernel to construct a row-shaped filter kernel;

[0021] The target exclusion stage and the target retention stage are obtained by performing morphological opening filtering on the evaluation factor sequence composed of each evaluation factor in time sequence using row morphology filtering.

[0022] Furthermore, determining the target retention coordinates, which consist of the evaluation factors of the target retention stage and the carbon emission slope, includes:

[0023] By using the evaluation factors of the target retention process as the horizontal axis and the carbon emission slope as the vertical axis, we obtain the target retention coordinates.

[0024] Furthermore, the step of matching and clustering the target retention steps in the sample space using the target exclusion step to obtain the emission structure relationship between the target retention steps includes:

[0025] Input the target exclusion coordinates corresponding to the target exclusion step into the sample space to determine the target retention coordinates adjacent to the target exclusion step and the coordinate distance between the target retention coordinates adjacent to the target exclusion step;

[0026] By using the coordinate distance to determine the clusters of target retention coordinates adjacent to the target exclusion stage, the emission structure relationship between target retention stages can be obtained.

[0027] Furthermore, the step of determining the clusters of target retention coordinates adjacent to the target exclusion stage using the coordinate distance, and obtaining the emission structure relationship between target retention stages, includes:

[0028] Determine the nearest adjacent coordinates of the current target to be retained in the target exclusion process, and determine the ascending sequence of distances between the current target's retained coordinates and the remaining coordinates in the sample space;

[0029] By using the ascending distance sequence and the coordinate distance, clusters of target retention coordinates adjacent to the target exclusion stage are determined, thereby obtaining the emission structure relationship between target retention stages.

[0030] Further, the step of determining the clusters of target retention coordinates adjacent to the target exclusion stage using the ascending distance sequence and the coordinate distance, and obtaining the emission structure relationship between target retention stages, includes:

[0031] Perform a first-order difference on the ascending distance sequence to obtain the shortest distance, the maximum difference value, and the smaller distance among the adjacent distances corresponding to the maximum difference value;

[0032] The mean distance between the shortest distance and the smaller distance is used as a distance metric to measure the similarity of the current target's coordinates to its surrounding carbon emission sources.

[0033] By using the distance metric and the coordinate distance, clusters of target retention coordinates adjacent to the target exclusion stage are determined, thereby obtaining the emission structure relationship between target retention stages.

[0034] Further, the step of determining the clustering of target retention coordinates adjacent to the target exclusion stage using the distance metric and the coordinate distance, and obtaining the emission structure relationship between target retention stages, includes:

[0035] The distance metric of each current target's retained coordinate is determined by iterating through the current target's retained coordinates in descending order of distance.

[0036] Determine the target distance difference between the latest coordinate distance in the iteration process and the mean of the distance metric, and determine the mean of the evaluation factors corresponding to the retained coordinates of each current target;

[0037] Using the target distance difference and the mean value of the evaluation factors, the iteration cutoff evaluation coefficient for the current target's retained coordinates is determined; the iteration cutoff evaluation coefficient is used to stop iterating the current target's retained coordinates.

[0038] The emission structure relationship between the target retention links is obtained by taking the current target retention coordinates obtained in this iteration as the same cluster; the same cluster represents the same carbon emission behavior.

[0039] The present invention has the following beneficial effects:

[0040] This invention determines the evaluation factors of a target stage regarding its carbon emission environment by utilizing the target carbon emissions of the target stage and the total carbon emissions of its corresponding similar stages. It then filters the evaluation factor sequence, composed of various evaluation factors arranged in chronological order, using the carbon emission slopes of each carbon emission in the similar stages containing the target carbon emissions, resulting in target exclusion stages and target retention stages. Finally, it determines the target retention coordinates, composed of the evaluation factors and carbon emission slopes of the target retention stages, and defines the sample space formed by these coordinates. Finally, it uses the target exclusion stages to perform matching and clustering on the target retention stages in the sample space, obtaining the emission structure relationships between them. By fully considering the differences and similarities in the carbon emission environments of each stage, the carbon emissions of each stage are more precisely classified, thereby accurately assessing the emission characteristics of carbon emissions at each stage of an UHV substation and improving the accuracy of identifying the carbon emission relationships at each stage of an UHV substation. Attached Figure Description

[0041] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention 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.

[0042] Figure 1 The flowchart below shows the steps of a carbon emission structure relationship identification system for ultra-high voltage substations based on the entire life cycle, as provided in one embodiment of the present invention.

[0043] Figure 2 A detailed flowchart of step S1 in a carbon emission structure relationship identification system for ultra-high voltage substations based on the entire life cycle, provided as an embodiment of the present invention;

[0044] Figure 3 A detailed flowchart of step S2 in a carbon emission structure relationship identification system for ultra-high voltage substations based on the entire life cycle, provided as an embodiment of the present invention;

[0045] Figure 4 A detailed flowchart of step S4 in a carbon emission structure relationship identification system for ultra-high voltage substations based on the entire life cycle, provided as an embodiment of the present invention;

[0046] Figure 5 A detailed flowchart of step S42 in a carbon emission structure relationship identification system for ultra-high voltage substations based on the entire life cycle, provided in an embodiment of the present invention;

[0047] Figure 6 A detailed flowchart of step S422 in a carbon emission structure relationship identification system for ultra-high voltage substations based on the whole life cycle, provided in another embodiment of the present invention;

[0048] Figure 7 This is a schematic diagram of the hardware operating environment of the ultra-high voltage substation carbon emission structure relationship identification device based on the whole life cycle involved in the embodiment of the present invention;

[0049] Figure 8 This is a schematic diagram of the framework structure of the UHV substation carbon emission structure relationship identification system based on the entire life cycle involved in the embodiment of the present invention. Detailed Implementation

[0050] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a carbon emission structure relationship identification system for ultra-high voltage substations based on the entire life cycle proposed by the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0051] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0052] It should be noted that, in order to ensure that the calculation results are meaningful, when performing fractional operations, if the denominator is 0, a parameter adjustment factor greater than 0 needs to be added to the denominator to prevent the denominator from being 0. The value of the parameter adjustment factor shall be set by the implementer according to the actual situation, and this application does not impose any special restrictions.

[0053] It should be noted that, for ease of calculation, all indicator data involved in the calculation in this embodiment of the invention have undergone data preprocessing to eliminate the influence of dimensions. The specific methods for eliminating the influence of dimensions are well known to those skilled in the art and are not limited here.

[0054] The following description, in conjunction with the accompanying drawings, details the specific scheme of the carbon emission structure relationship identification system for ultra-high voltage substations based on the entire life cycle provided by this invention.

[0055] Example 1:

[0056] For the carbon emission structure relationship identification system for ultra-high voltage substations based on the entire life cycle provided by this invention, please refer to [link to relevant documentation]. Figure 1 and Figure 8 , Figure 1 The flowchart of the steps corresponding to the carbon emission structure relationship identification system of ultra-high voltage substation based on the whole life cycle provided by an embodiment of the present invention is shown. Figure 8 This is a schematic diagram of the framework structure of the UHV substation carbon emission structure relationship identification system based on the entire life cycle involved in the embodiment of the present invention.

[0057] The UHV substation carbon emission structure relationship identification system based on the entire life cycle includes:

[0058] The environmental assessment module A10 is used to determine the evaluation factors of the target process in terms of its carbon emission environment by using the target carbon emissions of the target process and the total carbon emissions of the corresponding similar processes.

[0059] The process filtering module A20 is used to filter the evaluation factor sequence composed of various evaluation factors in time order by using the carbon emission slope of each carbon emission in the same type of process where the target carbon emission is located to obtain the target exclusion process and the target retention process.

[0060] The spatial construction module A30 is used to determine the target retention coordinates, which are composed of the evaluation factors and carbon emission slope of the target retention link, and to determine the sample space formed by each target retention coordinate;

[0061] The emission clustering module A40 is used to match and cluster the target retention links in the sample space using the target exclusion link, so as to obtain the emission structure relationship between the target retention links.

[0062] The methods and steps corresponding to the UHV substation carbon emission structure relationship identification system based on the entire life cycle include:

[0063] Step S1: Using the target carbon emissions of the target process and the total carbon emissions of the corresponding similar processes, determine the evaluation factors of the target process in relation to its carbon emission environment.

[0064] In this embodiment, carbon emission data for each stage of the UHV substation can be retrieved first, including the carbon emission amounts of each carbon emission stage, the list of sub-stages (i.e., each carbon emission stage, also referred to as the target stage) entered into the database, and their corresponding calculated carbon emission amounts. For example:

[0065] Sub-step 1: 12,000 kg of cement was poured; Carbon emissions from sub-step 1: 700 kg.

[0066] Step 2: Apply 20 kg of glue. Carbon emissions of Step 2: 0.9 kg.

[0067] Carbon emissions at each stage can also be aggregated using a priori step-by-step mapping table.

[0068] Therefore, we obtain a carbon emission accounting table for each small step in the current stage.

[0069] A DBMS (Database Management System) can obtain carbon emission logs for ultra-high voltage substations by extracting and combining the deployment sequence of small components within a single stage.

[0070] For each stage of carbon emission sub-elements, determine the purpose of combining the sub-elements, and match the combinations between the sub-elements to obtain different emission behaviors.

[0071] Analysis of emission behavior: The carbon emission structure is composed of different small links that form an emission behavior, and the significance of the overall emission behavior is judged by the emission behavior.

[0072] For example, during the operation phase of an ultra-high voltage substation:

[0073] SF6 gas leak maintenance, emissions account for 1%.

[0074] Carbonation of concrete foundations accounts for 12% of emissions.

[0075] Although both of the aforementioned carbon emission behaviors belong to carbon emission events during the operation phase of UHV substations, their emission proportions and emission rates are different. Therefore, the total emission proportion during the operation phase is large in the entire emission process. The contribution of the gas leakage maintenance and concrete foundation carbonization phases is different, and their correlation with the current operation phase is also different. Therefore, we first evaluate the emission purpose evaluation factors (evaluation factors of the target phase in relation to its carbon emission environment) of each sub-stage at the time of generation, and use this evaluation to merge different sub-stages to extract carbon emission behaviors.

[0076] Please refer to Figure 2 Step S1 includes:

[0077] Step S11: Determine the percentage of the target carbon emissions between the target carbon emissions of the target process and the total carbon emissions of the corresponding similar processes.

[0078] Step S12: Using the target carbon emission ratio, determine the evaluation factor of the target process in relation to its carbon emission environment.

[0079] Specifically, step S12 includes:

[0080] Determine the carbon emission slope of each carbon emission in the same category of the target carbon emission, as well as the average slope of the carbon emission slope in the same category of the target carbon emission;

[0081] Using the target carbon emission percentage, the carbon emission slope, and the average slope, the evaluation factor of the target process in relation to its carbon emission environment is calculated.

[0082] In this embodiment, for a single emission target stage a, for other emission stages with larger emission amounts in the same category of emission stages, the emission objective evaluation factor of stage a at its current stage is determined by the similarity of the emission change trends between the other emission stages recently generated in stage a and stage a. Based on the evaluation factor, a continuous stage segment is extracted as an emission behavior.

[0083] Since emissions are not independent processes, for example, consider the relationship between transformer no-load losses and temperature control energy consumption. If the temperature control unit detects a 10-degree Celsius increase in ambient temperature, air conditioning cooling energy consumption increases by 37%, affecting the stability of the substation's internal temperature environment and indirectly leading to a 19% increase in transformer temperature rise losses. Assuming that a portion of SF6 gas leakage is accounted for in this process, since the gas leakage itself accounts for a small amount of emissions, and its carbon emission trend differs significantly from other processes, it indicates that the emissions from the current gas leakage and the chain reaction caused by rising temperatures are not part of the same influencing action and should be excluded from the carbon emission behavior constituted by other actions.

[0084] Therefore, the emission objective evaluation factor for target segment a is calculated (the evaluation factor of the target segment in relation to its carbon emission environment). :

[0085]

[0086] In the formula: The target carbon emissions for target process a. This refers to the total carbon emissions of the same type of process corresponding to the target process (that is, 'a' here is the carbon emissions from gas leaks in a single time period, and 'A' is the sum of carbon emissions from gas leaks in all time periods). The larger the ratio, the greater the proportion of carbon emissions from the target process to the total carbon emissions of that type (target carbon emission percentage). The larger the ratio, the greater the proportion of carbon emissions from target process a in the same type of process, reflecting the higher contribution of target process a to the carbon emissions of the same type.

[0087] The slope of carbon emissions for target stage a (carbon emission slope). The calculation is performed on the target stage within the same category of stages, specifically based on the slope obtained from all values ​​of this attribute (gas leakage), and compared with the average slope of the carbon emission slope of stages of the same category. The absolute value of the difference plus 1 indicates that the fluctuation of carbon emissions in the target stage is not close to the magnitude of environmental changes of this value, reflecting a significant deviation trend in the carbon emission data generated by the target stage.

[0088] The evaluation factors for all target stages are calculated by traversing the stages according to their generation sequence.

[0089] Step S2: Using the carbon emission slope of each carbon emission in the same category of the target carbon emission, filter the evaluation factor sequence composed of each evaluation factor in time order to obtain the target exclusion link and the target retention link.

[0090] Please refer to Figure 3 Step S2 includes:

[0091] Step S21: Use the carbon emission slope of each carbon emission in the same type of process where the target carbon emission is located to determine the intervals of each continuous interval with the same slope.

[0092] Step S22: Construct a filter kernel using intervals with the same slope direction, and use the filter kernel to filter the evaluation factor sequence composed of each evaluation factor in time order to obtain the target exclusion stage and the target retention stage.

[0093] Specifically, step S22 includes:

[0094] The average length of each interval with the same slope direction is used as the length of the filter kernel to construct a row-shaped filter kernel;

[0095] The target exclusion stage and the target retention stage are obtained by performing morphological opening filtering on the evaluation factor sequence composed of each evaluation factor in time sequence using row morphology filtering.

[0096] In this embodiment, the emission behaviors are further extracted by clustering the emission processes according to the evaluation factors of the target process. The emission behaviors are merged among the target processes based on the evaluation factors in the same environment, and processes with evaluation factor changes that are different from the surrounding environment are removed, and some similar evaluation factor changes are extracted as emission behaviors.

[0097] First, the evaluation factors pa of the target step a are arranged according to the recording time sequence of the target step a, so as to obtain the evaluation factor sequence.

[0098] The carbon emission slopes ka of each target stage a in the same category are arranged in the same sequence, and split into positive and negative slopes with 0 as the slope threshold. Then, the intervals with the same slope direction are obtained by extracting the connected components. The average length of these intervals (including positive and negative) (that is, the average number of elements) is used as the length of the filter kernel. , construct ( A filter kernel of size (the sequence is a one-dimensional row matrix, and the filter kernel is in row shape).

[0099] By performing morphological opening filtering on the one-dimensional row matrix corresponding to the evaluation factor sequence through the above filtering check, the opening filtering can remove isolated small points while keeping the overall distribution position unchanged. Therefore, it can exclude some target exclusion links a' (hereinafter referred to as "link a'") that are not similar to these environments, which are included in the target links of similar evaluation factor environments. That is, the evaluation factors of the excluded target links are not close enough to the carbon emission environment generated by the surrounding evaluation factors or the difference is large. The remaining target links are the target retention links a, which are still referred to as "link a" here.

[0100] Step S3: Determine the target retention coordinates, which are composed of the evaluation factors of the target retention link and the carbon emission slope, and determine the sample space formed by each target retention coordinate;

[0101] Step S3, determining the target retention coordinates composed of the evaluation factors of the target retention stage and the carbon emission slope, specifically includes:

[0102] By using the evaluation factors of the target retention process as the horizontal axis and the carbon emission slope as the vertical axis, we obtain the target retention coordinates.

[0103] In this embodiment, the positions of changes generated after filtering are removed from the evaluation factor sequence, that is, the above-mentioned target exclusion step a' is excluded. The remaining evaluation factors corresponding to the remaining target retention steps are used as the x-axis and the carbon emission slope k is used as the y-axis to obtain the target retention coordinates (p, k) of the target retention coordinate point r and placed in the sample space.

[0104] Step S4: Use the target exclusion step to match and cluster the target retention steps in the sample space to obtain the emission structure relationship between the target retention steps.

[0105] In this embodiment, each link a in a similar carbon emission environment is screened. Since the carbon emission change trends of each link are similar, they naturally cluster in the sample space. Therefore, emission behavior is extracted by comparing the removed link a' with the remaining links distributed in the sample space. Furthermore, emission behavior chains are extracted based on the duration of the actions between emission behaviors to obtain the emission structure relationship.

[0106] The overall change in the sample is evaluated after the coordinates r'=(p', k') of the removed link a' are placed into the sample space:

[0107] If the coordinate point r' of any link a' is placed in the sample space and the distance d between it and the coordinate point r of its neighboring link a' is kept large, it indicates that there is no region with a similar carbon emission environment to link a' represented by the current coordinate point r', thus indicating that the carbon emission behavior generated by the current link a' is more independent.

[0108] After the coordinate point r' is fully matched with the closely linked coordinate points r, if the link a represented by the matched coordinate point r causes the set of matched coordinate points to start to deviate, it means that there is a significant deviation between the carbon emission behavior of link a represented by the newly matched coordinate point r and link a'. This also means that the extraction of similar links in carbon emission of link a' has been completed, and the emission action composed of each link a is obtained.

[0109] Please refer to Figure 4 Step S4 includes:

[0110] Step S41: Input the target exclusion coordinates corresponding to the target exclusion step into the sample space, and determine the target retention coordinates adjacent to the target exclusion step and the coordinate distance between the target retention coordinates adjacent to it.

[0111] Step S42: Use the coordinate distance to determine the cluster of target retention coordinates adjacent to the target exclusion stage, and obtain the emission structure relationship between the target retention stages.

[0112] Further, please refer to Figure 5 Step S42 includes:

[0113] Step S421: Determine the nearest adjacent retained coordinates of the current target in the target exclusion process, and determine the ascending sequence of distances between the retained coordinates of the current target and the remaining coordinates in the sample space;

[0114] Step S422: Use the ascending distance sequence and the coordinate distance to determine the clusters of target retention coordinates adjacent to the target exclusion stage, and obtain the emission structure relationship between the target retention stages.

[0115] Furthermore, please refer to Figure 6 Step S422 specifically includes:

[0116] Step S4221: Perform first-order difference on the ascending distance sequence to obtain the shortest distance, the maximum difference value, and the smaller distance among the adjacent distances corresponding to the maximum difference value;

[0117] Step S4222: The mean distance between the shortest distance and the smaller distance is used as a distance metric to measure the similarity of the current target's retained coordinates to its surrounding carbon emission sources.

[0118] Step S4223: Use the distance metric and the coordinate distance to determine the cluster of target retention coordinates adjacent to the target exclusion stage, and obtain the emission structure relationship between the target retention stages.

[0119] Furthermore, step S4223 specifically includes:

[0120] The distance metric of each current target's retained coordinate is determined by iterating through the current target's retained coordinates in descending order of distance.

[0121] Determine the target distance difference between the latest coordinate distance in the iteration process and the mean of the distance metric, and determine the mean of the evaluation factors corresponding to the retained coordinates of each current target;

[0122] Using the target distance difference and the mean value of the evaluation factors, the iteration cutoff evaluation coefficient for the current target's retained coordinates is determined; the iteration cutoff evaluation coefficient is used to stop iterating the current target's retained coordinates.

[0123] The emission structure relationship between the target retention links is obtained by taking the current target retention coordinates obtained in this iteration as the same cluster; the same cluster represents the same carbon emission behavior.

[0124] In this embodiment, the coordinates r' of any link a' are matched in the sample space:

[0125] Place the coordinate point r' into the sample space, and first obtain the coordinate distance between it and its neighboring coordinate points r. During the matching and iterative process of coordinate point r, initially, we can find the coordinate point r that is closest to coordinate point r', keep it as the current target coordinate point, and extract its coordinate distance. .

[0126] Extract the ascending distance sequence between the current target's retained coordinates and all other coordinates in the sample space. Perform a first-order difference on this ascending distance sequence (subtracting the previous element from the later element) (the purpose is to determine other links in the sample space that are similar to the current link 'a' in terms of its carbon emission environment). Extract the maximum difference value, and take the smaller of the two adjacent distances used to calculate the maximum difference value, i.e., the smaller distance (e.g., 4, 78, the difference is 78-4, so we take 4). Determine the mean distance of the distance sequence intercepted between this smaller distance and the shortest distance in the ascending distance sequence (e.g., 1). (For example, in the distance sequence (4, 4, 3, 1), the mean distance is 3) serves as a distance metric for the current coordinate point r to the carbon emission points around it.

[0127] Continue iterating while retaining the coordinates r of the current target. The coordinates r' are determined by their distances from the coordinates r of each point r in the sample space. In descending order, match each point to obtain the remaining coordinate points r adjacent to the coordinate point r', and keep the matched coordinate point r as the current target (hereinafter referred to as "current coordinate point r").

[0128] The iteration cutoff evaluation coefficient for matching coordinate point r' with the current coordinate point r. Perform calculations to stop the above matching and iteration process:

[0129]

[0130] In the formula: middle, This represents the distance between coordinate point r' and the latest coordinate point r'' in the iteration process. This represents the distance metric between coordinate point r' and all current coordinate points r matched up to the latest current coordinate point r''. The mean (excluding the latest r'') The target distance difference between the two is then obtained. The larger the target distance difference, the greater the deviation between the carbon emission environment represented by coordinate point r' and the carbon emission environment represented by the latest matched point r'', making it difficult to merge them to form a description point of the same carbon emission environment.

[0131] The mean of the evaluation factors p of all matching current coordinate points r has been obtained for coordinate point r'. The ratio between the evaluation factor pr'' of the latest coordinate point r'' and the latest evaluation factor pr'' is reduced by 1. The larger the ratio, the higher the deviation of the extracted factor of coordinate point r'', that is, it is difficult for coordinate point r'' to match the corresponding similar carbon emission results.

[0132] The softsign function is used to Perform a mapping with a range of [-1, 1], when the normalized value When the threshold (which can be adjusted as a preset iteration threshold) is reached, the acquisition process stops, thereby halting the matching acquisition process for the current coordinate point r.

[0133] After stopping the matching process, the coordinates r of each current target obtained in this iteration are treated as the same cluster.

[0134] Each cluster's corresponding coordinate points are treated as a single carbon emission event, and the time of its occurrence and the amount of carbon emissions are obtained. For any carbon emission event lasting for a period of time (a cluster contains carbon emission data from multiple time points), some representative timestamps need to be determined. For example:

[0135] Start Time: The earliest timestamp within this cluster. Represents the time when the action began.

[0136] End Time: Take the latest timestamp within this cluster. Represents the time when the action ended.

[0137] Peak time: The timestamp of the data point with the highest carbon emissions within the cluster. Represents the moment of most intense emissions.

[0138] Plot a time series graph: The X-axis represents time points, and the Y-axis represents the total emissions from all emission events (a) within the current emission behavior. This visually displays the intensity of carbon emission events occurring at different points in time (or time periods), thus presenting the emission structure relationship more intuitively in the above manner.

[0139] This invention determines the evaluation factors of a target stage regarding its carbon emission environment by utilizing the target carbon emissions of the target stage and the total carbon emissions of its corresponding similar stages. It then filters the evaluation factor sequence, composed of various evaluation factors arranged in chronological order, using the carbon emission slopes of each carbon emission in the similar stages containing the target carbon emissions, resulting in target exclusion stages and target retention stages. Finally, it determines the target retention coordinates, composed of the evaluation factors and carbon emission slopes of the target retention stages, and defines the sample space formed by these coordinates. Finally, it uses the target exclusion stages to perform matching and clustering on the target retention stages in the sample space, obtaining the emission structure relationships between them. By fully considering the differences and similarities in the carbon emission environments of each stage, the carbon emissions of each stage are more precisely classified, thereby accurately assessing the emission characteristics of carbon emissions at each stage of an UHV substation and improving the accuracy of identifying the carbon emission relationships at each stage of an UHV substation.

[0140] Example 2:

[0141] This invention also proposes a device for identifying the carbon emission structure of ultra-high voltage substations based on the entire life cycle. The device can be a data processing device such as a computer or server, or a combination of multiple devices.

[0142] like Figure 7 As shown, Figure 7 This is a schematic diagram of the hardware operating environment of the ultra-high voltage substation carbon emission structure relationship identification device based on the whole life cycle involved in the embodiment of the present invention.

[0143] like Figure 7As shown, the UHV substation carbon emission structure relationship identification device based on the entire life cycle may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. The communication bus 1002 is used to realize communication between these components. The user interface 1003 may include a display or an input unit such as a control panel; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a WIFI interface). The memory 1005 may be a high-speed RAM memory or a stable non-volatile memory, such as a disk storage device. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001. The memory 1005, as a computer storage medium, may include the UHV substation carbon emission structure relationship identification program.

[0144] Those skilled in the art will understand that Figure 7 The hardware structure shown does not constitute a limitation on the device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0145] Continue to refer to Figure 7 , Figure 7 The memory 1005, which is a computer-readable storage medium, may include an operating device, a user interface module, a network communication module, and a carbon emission structure relationship identification program for ultra-high voltage substations.

[0146] exist Figure 7 In this embodiment, the network communication module is mainly used to connect to the server and can communicate with the server for data; while the processor 1001 can call the UHV substation carbon emission structure relationship identification program stored in the memory 1005 and execute the steps in the above embodiments.

[0147] Based on the hardware structure of the ultra-high voltage substation carbon emission structure relationship identification device based on the entire life cycle described above, various embodiments of the ultra-high voltage substation carbon emission structure relationship identification system based on the entire life cycle of the present invention are implemented.

[0148] Furthermore, the present invention also provides a computer-readable storage medium. The computer-readable storage medium stores a program for identifying the carbon emission structure relationship of ultra-high voltage substations. When executed by a processor, the program implements the steps of the above-described system for identifying the carbon emission structure relationship of ultra-high voltage substations based on the entire life cycle.

[0149] The method implemented when the UHV substation carbon emission structure relationship identification program is executed can be referred to in various embodiments of the present invention’s UHV substation carbon emission structure relationship identification system based on the whole life cycle, and will not be repeated here.

[0150] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0151] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0152] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0153] The above description is only a preferred embodiment of the present invention and does not limit the scope of protection of the present invention. All equivalent structural / method transformations made under the inventive concept of the present invention using the contents of the present invention specification and drawings, or direct / indirect applications in other related technical fields, are included within the scope of protection of the present invention.

Claims

1. A carbon emission structure relationship identification system for ultra-high voltage substations based on the entire life cycle, characterized in that, The system includes: The environmental assessment module is used to determine the evaluation factors of the target process in relation to its carbon emission environment by using the target carbon emissions of the target process and the total carbon emissions of the corresponding similar processes. The process filtering module is used to filter the evaluation factor sequence composed of various evaluation factors in time order by utilizing the carbon emission slope of each carbon emission in the same type of process where the target carbon emission is located, so as to obtain the target exclusion process and the target retention process. The spatial construction module is used to determine the target retention coordinates, which are composed of the evaluation factors and carbon emission slope of the target retention link, and to determine the sample space formed by each target retention coordinate; The emission clustering module is used to match and cluster target retention links in the sample space using the target exclusion link, so as to obtain the emission structure relationship between the target retention links. Methods for determining evaluation factors include: Determine the target carbon emission ratio between the target carbon emission of the target process and the total carbon emission of the corresponding similar process; Determine the carbon emission slope of each carbon emission in the same category of the target carbon emission, as well as the average slope of the carbon emission slope in the same category of the target carbon emission; Using the target carbon emission percentage, the carbon emission slope, and the average slope, the evaluation factor of the target process in relation to its carbon emission environment is calculated. Methods for determining the emission structure relationships between target retention stages include: Input the target exclusion coordinates corresponding to the target exclusion step into the sample space to determine the target retention coordinates adjacent to the target exclusion step and the coordinate distance between the target retention coordinates adjacent to the target exclusion step; Determine the nearest adjacent coordinates of the current target to be retained in the target exclusion process, and determine the ascending sequence of distances between the current target's retained coordinates and the remaining coordinates in the sample space; Perform a first-order difference on the ascending distance sequence to obtain the shortest distance, the maximum difference value, and the smaller distance among the adjacent distances corresponding to the maximum difference value; The mean distance between the shortest distance and the smaller distance is used as a distance metric to measure the similarity of the current target's coordinates to its surrounding carbon emission sources. The distance metric of each current target's retained coordinate is determined by iterating through the current target's retained coordinates in descending order of distance. Determine the target distance difference between the latest coordinate distance in the iteration process and the mean of the distance metric, and determine the mean of the evaluation factors corresponding to the retained coordinates of each current target; Using the target distance difference and the mean value of the evaluation factors, the iteration cutoff evaluation coefficient for the current target's retained coordinates is determined; the iteration cutoff evaluation coefficient is used to stop iterating the current target's retained coordinates. The emission structure relationship between the target retention links is obtained by taking the current target retention coordinates obtained in this iteration as the same cluster; the same cluster represents the same carbon emission behavior.

2. The carbon emission structure relationship identification system for UHV substations based on the entire life cycle as described in claim 1, characterized in that, The process of using the carbon emission slope of each carbon emission in the same category of the target carbon emission to filter the evaluation factor sequence composed of various evaluation factors in chronological order to obtain the target exclusion stage and the target retention stage includes: By utilizing the carbon emission slope of each carbon emission in the same category of the target carbon emission, we can determine the intervals of consecutive directions with the same slope. By constructing filter kernels using intervals with the same slope direction, the filter kernels are used to filter the evaluation factor sequence composed of various evaluation factors in time order to obtain the target exclusion stage and the target retention stage.

3. The carbon emission structure relationship identification system for UHV substations based on the entire life cycle as described in claim 2, characterized in that, The process involves constructing a filter kernel using intervals with the same slope direction, and then using this kernel to filter the evaluation factor sequence composed of various evaluation factors in chronological order to obtain a target exclusion stage and a target retention stage. This includes: The average length of each interval with the same slope direction is used as the length of the filter kernel to construct a row-shaped filter kernel; The target exclusion stage and the target retention stage are obtained by performing morphological opening filtering on the evaluation factor sequence composed of each evaluation factor in time sequence using row morphology filtering.

4. The carbon emission structure relationship identification system for UHV substations based on the entire life cycle as described in claim 1, characterized in that, The determination of the target retention coordinates, which consist of evaluation factors for the target retention stage and the carbon emission slope, includes: By using the evaluation factors of the target retention process as the horizontal axis and the carbon emission slope as the vertical axis, we obtain the target retention coordinates.

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