A porcelain column type circuit breaker full life cycle carbon emission accounting method and system based on factory overhaul

Abstract

The application discloses a porcelain column type circuit breaker full life cycle carbon emission accounting method and system based on factory overhauling, relates to the technical field of power equipment, and deeply fuses component level structure evolution information, a dynamic carbon factor adjustment mechanism and factory overhauling behavior response, accurately captures component state change, dynamically corrects carbon emission factors, establishes a mathematical correlation mechanism between factory overhauling behavior and carbon emission, effectively makes up for the deficiencies of traditional methods in reflecting the actual use state of equipment, adapting structure change carbon emission deviation and correlating overhauling behavior carbon emission, and greatly improves the scientificity and accuracy of porcelain column type circuit breaker full life cycle carbon accounting.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power equipment, and particularly relates to a porcelain column type circuit breaker full life cycle carbon emission accounting method and system based on factory maintenance. BACKGROUND

[0002] With energy saving and emission reduction becoming the core research direction in green manufacturing and low-carbon operation, the accurate accounting of the full life cycle carbon emission of power equipment is increasingly valued. As a key high-voltage switching device in the power grid, the porcelain column type circuit breaker is accompanied by significant carbon emission in the whole process of raw material collection, manufacturing, transportation, operation and maintenance, and even recycling. The traditional life cycle carbon accounting method mainly relies on the life cycle evaluation system and the international standards formulated by the International Electrotechnical Commission and the International Organization for Standardization, and adopts a combination of qualitative and quantitative methods to evaluate the carbon footprint of each stage of the product.

[0003] However, the porcelain column type circuit breaker has the characteristics of complex components, frequent structural evolution and large difference in maintenance strategy in actual use, and the traditional accounting method has obvious deficiencies: first, it lacks the capture of dynamic evolution information of component level, and cannot reflect the state change in the actual use process of the equipment; second, the carbon emission factor uses a static model, ignoring the carbon emission deviation caused by the structure change of the component in the long-term operation; third, the factory maintenance behavior as an important part of maintenance management has a significant impact on the structure state of the equipment, but the traditional method has not established a mathematical mechanism associated with the carbon emission, so the accounting result is difficult to support accurate control and green optimization design.

[0004] Therefore, there is an urgent need for a carbon emission accounting method that can integrate component-level structure evolution information, dynamic carbon factor adjustment mechanism and factory maintenance behavior response to improve the scientificity and accuracy of the full life cycle carbon accounting of the porcelain column type circuit breaker. SUMMARY

[0005] The present application provides a porcelain column type circuit breaker full life cycle carbon emission accounting method and system based on factory maintenance, which solves the technical problem of how to improve the accuracy of the full life cycle carbon accounting of the porcelain column type circuit breaker.

[0006] The present application provides a porcelain column type circuit breaker full life cycle carbon emission accounting method based on factory maintenance, which comprises:

[0007] Constructing a structure feature vector of each component of the porcelain column type circuit breaker;

[0008] Extracting a state event and arranging a time sequence of the structure feature vector to obtain a state path sequence of each component;

[0009] Calculating a life cycle path entropy of each state path sequence;

[0010] adopting each of the life cycle path entropy input preset carbon emission factor correction function to correct the benchmark carbon emission factor dynamically, and obtaining the dynamic carbon emission factor of each of the components;

[0011] obtaining additional emission data and quality attribute data of each of the components, combining the dynamic carbon emission factor and a preset correction factor, and determining the total carbon emission of the porcelain column type circuit breaker in the whole life cycle.

[0012] Optionally, the structure feature vector of each component of the porcelain column type circuit breaker comprises:

[0013] obtaining dimension feature data corresponding to multiple dimension features of each component in the porcelain column type circuit breaker;

[0014] feature coding is performed on each of the dimension feature data, and multiple dimension feature codes are obtained;

[0015] Each of the dimension feature codes is sorted to generate a structure feature vector of each of the components.

[0016] Optionally, the state path sequence of each of the components is obtained by performing state event extraction and time sequence arrangement on the structure feature vector, comprising:

[0017] extracting dimension features associated with multiple dimension feature codes from each of the structure feature vectors;

[0018] event type matching is performed on each of the dimension features to obtain multiple state events reflecting different states of the components;

[0019] According to the time sequence of the state events, each of the state events is sorted in sequence to obtain a state path sequence of each of the components.

[0020] Optionally, the life cycle path entropy of each of the state path sequences is calculated, comprising:

[0021] Each of the state events in each of the state path sequences is classified and counted to obtain multiple probability distribution data of the state events;

[0022] Multiple probability distribution data is input into a preset path entropy function to obtain the life cycle path entropy of each of the state path sequences;

[0023] The probability distribution data comprises a stationary probability value and a transition probability value, and the preset path entropy function is specifically:

[0024]

[0025] In the formula, represents the first a life cycle path entropy of a state path sequence of a component, , represents a total number of components, represents a stopover probability value when a departure state event type is , represents a transition probability value from a departure state event type to an arrival state event type , represents a total number of different state events experienced within a state path sequence, represents a departure state event type number, represents an arrival event type number.

[0026] Optionally, the preset carbon emission factor correction function is specifically:

[0027]

[0028] In the formula, represents a dynamic carbon emission factor of a component after dynamic correction, represents a baseline carbon emission factor of a component , represents an entropy sensitivity coefficient of a component , represents a nonlinear response index of a component .

[0029] Optionally, the additional emission data and quality attribute data of each component are acquired, and the total carbon emission of the porcelain column type circuit breaker in the whole life cycle is determined in combination with the dynamic carbon emission factor and a preset correction factor, including:

[0030] The additional emission data and quality attribute data of each component are acquired;

[0031] The preset correction factor includes a stage attribute correction kernel.

[0032] The additional emission data, the quality attribute data, the dynamic carbon emission factor, and the stage attribute correction kernel are input into a preset single-stage contribution carbon emission function to obtain a single-stage contribution carbon emission value of each component;

[0033] The preset single-stage contribution carbon emission function is specifically:

[0034]

[0035] In the formula, represents a single-stage contribution carbon emission value of a component in a state path sequence , representing means in a state path sequence of quality attribute data, representing means in a state path sequence of dynamic carbon emission factors, representing means in a state path sequence of stage attribute correction kernels, representing means in a state path sequence of additional emission data, representing a total number of state path sequences;

[0036] adopting all the single-stage contribution carbon emission values to input a preset total carbon emission function to obtain a total carbon emission of the porcelain column type circuit breaker in a full life cycle;

[0037] The preset total carbon emission function is specifically:

[0038]

[0039] In the formula, representing a total carbon emission of all components in all state path sequences .

[0040] The second aspect of the present application provides a porcelain column type circuit breaker full life cycle carbon emission accounting system based on factory maintenance, comprising:

[0041] A construction module is configured to construct a structure feature vector of each component of the porcelain column type circuit breaker.

[0042] A processing module is configured to perform state event extraction and time sequence arrangement on the structure feature vector to obtain a state path sequence of each component.

[0043] A calculation module is configured to calculate a life cycle path entropy of each state path sequence.

[0044] A correction module is configured to input a preset carbon emission factor correction function to perform dynamic correction on a benchmark carbon emission factor by using each life cycle path entropy to obtain a dynamic carbon emission factor of each component.

[0045] An output module is configured to obtain additional emission data and quality attribute data of each component, combine the dynamic carbon emission factor and a preset correction factor, and determine a total carbon emission of the porcelain column type circuit breaker in a full life cycle.

[0046] The third aspect of the present application provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer program is executed by the processor to make the processor execute the steps of the porcelain column type circuit breaker full life cycle carbon emission accounting method based on factory maintenance.

[0047] The fourth aspect of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed to implement the porcelain column type circuit breaker full life cycle carbon emission accounting method based on factory maintenance.

[0048] The fifth aspect of the present application provides a computer program product, which comprises a computer program stored on a non-transitory computer readable storage medium, and the computer program comprises program instructions, wherein when the program instructions are executed by a computer, the computer executes the porcelain column type circuit breaker full life cycle carbon emission accounting method based on factory maintenance.

[0049] From the above technical solutions, the present application has the following advantages:

[0050] The present application provides a porcelain column type circuit breaker full life cycle carbon emission accounting method and system based on factory maintenance, which constructs a structural feature vector of each component of the porcelain column type circuit breaker, extracts state events from the structural feature vector and arranges the time sequence to obtain a state path sequence of each component, then calculates the life cycle path entropy of each state path sequence, and finally inputs each life cycle path entropy into a preset carbon emission factor correction function to dynamically correct the benchmark carbon emission factor, thereby obtaining the dynamic carbon emission factor of each component, and finally determines the total carbon emission by combining the additional emission data and quality attribute data of each component and the preset correction factor. The present application deeply integrates the component-level structural evolution information, the dynamic carbon factor adjustment mechanism and the factory maintenance behavior response, accurately captures the component state change and dynamically corrects the carbon emission factor, establishes a mathematical correlation mechanism between the factory maintenance behavior and the carbon emission, effectively makes up for the deficiencies of the traditional method in reflecting the actual use state of the equipment, adapting the structural change carbon emission deviation and correlating the maintenance behavior carbon emission, and greatly improves the scientificity and accuracy of the porcelain column type circuit breaker full life cycle carbon accounting. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiment or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0052] Figure 1 A step flow chart of a porcelain column type circuit breaker full life cycle carbon emission accounting method based on factory maintenance is provided for an embodiment of the present application.

[0053] Figure 2 A structural block diagram of a porcelain column type circuit breaker full life cycle carbon emission accounting system based on factory maintenance is provided for an embodiment of the present application.

[0054] Figure 3 A structural block diagram of an electronic device is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0055] The embodiment of the present application provides a porcelain column type circuit breaker full life cycle carbon emission accounting method and system based on factory maintenance, which is used for solving the technical problem of how to improve the accuracy of porcelain column type circuit breaker full life cycle carbon accounting.

[0056] In order to make the technical scheme of the present application more obvious and easy to understand, the technical scheme in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the embodiments described below are only some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0057] At present, the existing carbon emission accounting method still follows the traditional LCA (Life Cycle Assessment) method, and is modified in combination with part of the equipment maintenance data. For example, some researches collect the energy consumption and material data of each stage of the equipment, combine the carbon emission factors in the database, and perform stage-by-stage carbon emission assessment on the circuit breaker; or based on the product BOM list, the existing carbon factor model is mapped through the material type and process path to realize the carbon accounting of the equipment manufacturing stage. This kind of method can theoretically cover the full life cycle of the equipment, but usually has two significant limitations: one is that the structure evolution modeling is insufficient, and it is difficult to reflect the dynamic changes of the equipment in the running and maintenance process; the second is that the carbon factor exists in the form of a fixed value, and cannot respond to the influence of complex maintenance path and different use strategies. For example, a circuit breaker that has undergone multiple maintenance and replacement has a huge difference in carbon emission load from an equipment that has not undergone major maintenance, but the traditional model cannot distinguish them.

[0058] And the traditional life cycle assessment model uses static carbon emission factors and standardized processes to estimate the carbon emissions of equipment at each stage from raw materials to recycling. First, the structural evolution characteristics of each component of the circuit breaker during its use are ignored, which cannot effectively track the state changes caused by maintenance, replacement or aging of the components; second, the static setting of the carbon emission factor lacks the response ability to the actual operating state of the component, and cannot reflect the dynamic influence of multiple maintenance, replacement and other behaviors on carbon emissions; third, the traditional method does not include the factory maintenance behavior in the carbon emission accounting model, and this factor has a significant impact on the state and structure of the device. Ignoring this factor will seriously affect the accuracy and pertinence of the accounting. Therefore, the existing technology has poor adaptability, low precision and insufficient dynamic response capability when facing the task of carbon management under complex operation background.

[0059] In contrast, the present application is based on factory maintenance behavior, uses structural vector decomposition and path entropy modeling method, can dynamically analyze the complexity of component life cycle evolution, and accordingly adjust the carbon emission factor, so as to realize more real and accurate carbon emission accounting.

[0060] Specifically, by introducing structural vector decomposition and structural evolution path modeling means, the state evolution information of each component of the device during use is analyzed, and the complexity and uncertainty of the structural transformation are described by calculating the life cycle path entropy value. On this basis, the component carbon emission factor is dynamically adjusted to respond to the maintenance frequency, replacement behavior and structural evolution characteristics, so as to realize more accurate, dynamic and personalized carbon emission accounting. At the same time, the present application includes the state event sequence of factory maintenance behavior in the accounting logic, strengthens the adaptation ability to the actual operation scene, and finally improves the authenticity, operability and engineering application value of the carbon footprint evaluation of the circuit breaker, and provides scientific support for green manufacturing and low-carbon management of electrical equipment.

[0061] Please refer to Figure 1 , Figure 1 A step flowchart of a porcelain column type circuit breaker full life cycle carbon emission accounting method based on factory maintenance is provided for the first embodiment of the present application.

[0062] The porcelain column type circuit breaker full life cycle carbon emission accounting method based on factory maintenance provided by the present application comprises:

[0063] Step 101, constructing the structural feature vector of each component of the porcelain column type circuit breaker.

[0064] Further, step 101 can include the following substeps:

[0065] S11, obtaining the dimension feature data corresponding to the multiple dimension features of each component in the porcelain column type circuit breaker.

[0066] Dimensional characteristics refer to attribute categories used to describe different aspects of the characteristics of porcelain column circuit breaker components, covering material type coding, component position level, unit mass, vulnerability level, maintenance frequency level, and the like, to describe the characteristics of the components from multiple perspectives.

[0067] Dimensional characteristic data refers to specific numerical values or identifiers and the like of each component in the porcelain column circuit breaker under each of the above-mentioned dimensional characteristics, such as the specific material type coding of a component, the specific unit mass, the specific vulnerability level, and the like, which are specific quantification or qualitative description of the dimensional characteristics.

[0068] BOM list system (Billof Materials) refers to a system for obtaining static information of each component of the circuit breaker, such as material type, mass, part number, installation position, and the like, which is a list system for recording product components and related attributes.

[0069] PLM system (Product Lifecycle Management) refers to a system for retrieving component updates, replacement records, design change logs, and the like in the entire life cycle of the equipment, which can manage related data of the product from design, manufacturing to use, and scrap throughout the life cycle, and help to obtain information on the dynamic evolution of the components.

[0070] Factory maintenance record system refers to a system that provides maintenance records of the equipment in the later stage of operation, including maintenance time, maintenance object, operation category (replacement / reinstallation / migration, etc.) and number of times, and the like, which can record the equipment maintenance related behaviors in detail.

[0071] Quality detection system refers to a system that collects measured quality parameters and state evaluation information of the equipment and its components, which is used to replace the rated theoretical value to participate in accounting, and can obtain the actual quality and state of the components, making the carbon emission accounting more in line with the actual situation.

[0072] Structure vector refers to a mathematical vector used to model the characteristics of the circuit breaker components, rather than the traditional CAD structure, which is used to represent material type coding, component position level, unit mass, vulnerability level, maintenance frequency level, and the like. Each component can be abstracted as a vector form containing these characteristics, and the vector dimension can be dynamically expanded to adapt to the structural characteristics of different types of circuit breakers.

[0073] In the embodiment of the application, first, the static information of each component of the circuit breaker is obtained from the BOM list system, such as basic data such as material type, mass, part number, installation position; the dynamic evolution related information such as updating, replacement record and design change log of the component in the whole life cycle of the equipment is called from the PLM system; the maintenance record of the equipment in the later stage of operation is extracted from the factory maintenance record system, including maintenance time, maintenance object, operation category (replacement, reinstallation, migration, etc.) and number of maintenance behavior data; the measured mass parameters and state evaluation information of the equipment and its components are collected through the quality detection system. These multi-source data jointly constitute the original information basis for structure vector construction and path state sequence modeling. Subsequently, based on these data, the dimension feature data corresponding to multiple dimension features is extracted for each component in the porcelain column type circuit breaker. The dimension features here include material type code, component position level, unit mass, vulnerability level, maintenance frequency level, etc. Among them, the material type code is the coded identification of the material type used by the component, used to distinguish different materials; the component position level reflects the position level relationship of the component in the overall structure of the circuit breaker; the unit mass refers to the mass corresponding to the unit volume or unit quantity of the component; the vulnerability level is the classification of the degree of damage of the component; and the maintenance frequency level is the classification of the frequency of maintenance of the component. Each component can be abstracted as a structure vector form containing these dimension feature data, and a complete structure vector set is constructed, and the vector dimension can be dynamically expanded to adapt to the structure characteristics of different types of circuit breakers.

[0074] S12, feature coding is performed on each dimension feature data to obtain a plurality of dimension feature codes.

[0075] Feature coding refers to converting specific information (such as material name, position description, etc.) of dimension features such as material type and component position level into coded symbols or digital sequences with specific rules to realize standardized and digitized representation of dimension features.

[0076] Dimension feature coding refers to the specific coding results of each dimension feature (such as material type, component position level, etc.) after feature coding, which is used to uniquely identify the specific information under the dimension feature.

[0077] In the embodiment of the application, after obtaining the dimension feature data of the material type, component position level, unit mass, vulnerability level, maintenance frequency level, etc. of each component in the porcelain column type circuit breaker, the dimension feature data is respectively coded to obtain material type code, component position level code, unit mass code, vulnerability level code, maintenance frequency level code, etc.

[0078] In a specific implementation, the dimensional characteristic codes are, for example, material type codes (M), component position level codes (L), unit mass codes (W), vulnerability level codes (F), and maintenance frequency level codes.

[0079] S13, sorting the dimensional characteristic codes to generate a structural characteristic vector of each component.

[0080] The structural characteristic vector refers to a vector formed by arranging a plurality of dimensional characteristic codes of a component in a specific order, which is used to mathematically and structurally represent the characteristics of the component from multiple dimensions, so as to subsequently perform state event extraction and the like.

[0081] The structural vector set refers to a set formed by the structural characteristic vectors of all components of the porcelain column circuit breaker, which can realize overall modeling of the characteristics of the components of the entire device.

[0082] In the embodiment of the present application, after obtaining the material type codes, the component position level codes, the unit mass codes, the vulnerability level codes, and the maintenance frequency level codes, the dimensional characteristic codes are sorted in the order of the material type codes, the component position level codes, the unit mass codes, the vulnerability level codes, and the maintenance frequency level codes to generate a structural characteristic vector of each component. For example, V i =[M i ,L i ,W i ,F i ,R i ], i represents the ith component, and a complete structural vector set is further constructed for overall device modeling.

[0083] It is worth mentioning that the prior art usually takes the product as a whole or a component category as the accounting unit, lacks component-level fine modeling, and results in rough carbon emission evaluation results. The present application introduces a structural vector decomposition mechanism, encodes the material, mass, level, function attribute, and use behavior of each specific component in the porcelain column circuit breaker into a vector form, constructs a high-resolution component model from the bottom, and greatly improves the spatial precision and calculation granularity of carbon accounting.

[0084] Step 102, performing state event extraction and time sequence arrangement on the structural characteristic vector to obtain a state path sequence of each component.

[0085] The structural characteristic vector refers to a vector formed by arranging a plurality of dimensional characteristic codes of a component in a specific order, which is used to mathematically and structurally represent the characteristics of the component from multiple dimensions.

[0086] State event extraction refers to identifying and extracting key events reflecting state changes of the component from information contained in the structural feature vector of the component, such as maintenance, replacement, state deterioration and the like of the component.

[0087] Time sequence arrangement refers to arranging and arranging the extracted state events in chronological order to determine the chronological order of event occurrence.

[0088] State path sequence refers to a sequence of component state change events arranged in chronological order obtained by state event extraction and time sequence arrangement on the structural feature vector, which can reflect the evolution path of the component from the initial state to the subsequent states.

[0089] Further, step 102 can include the following sub-steps:

[0090] S21, extracting a plurality of dimension features associated with dimension feature encoding from each structural feature vector.

[0091] The dimension feature associated with the dimension feature encoding refers to the original feature attribute corresponding to the dimension feature encoding after the feature encoding processing, such as the material type corresponding to the material type encoding, the component position level corresponding to the component position level encoding, and the like. By extracting these associated features, the actual physical meaning of each code in the structural feature vector can be determined.

[0092] In the embodiment of the application, based on the generated structural feature vectors of each component, the dimension features associated with the material type encoding, the component position level encoding, the unit mass encoding and the like are extracted from each structural feature vector, that is, the original feature attributes such as material type, component position level and unit mass are restored, which constitute the basic elements of component state analysis.

[0093] S22, event type matching is performed using each dimension feature to obtain a plurality of state events reflecting different states of the component.

[0094] Event type matching refers to comparing the extracted dimension features with the preset event type rules or database to determine the specific state change type of the component.

[0095] State event refers to a specific event reflecting the state change of the component in the whole life cycle, such as replacement, maintenance, deterioration and the like, each event corresponding to the transition of a certain state of the component.

[0096] In the embodiment of the present application, based on the extracted material type, component position level, unit mass and other dimensional features, the state change events of each component in the whole life cycle are determined by matching with the preset event type library, for example, when the material type feature is associated with the replacement record, it is matched as a "component replacement event"; when the maintenance frequency level feature exceeds the threshold, it is matched as a "maintenance event"; when the unit mass feature appears abnormal fluctuation, it is matched as a "state degradation event", and so on, thereby obtaining a plurality of state events reflecting different states of the component.

[0097] S23, according to the state event occurrence time sequence, the state events are sorted in order to obtain the state path sequence of each component.

[0098] The state event occurrence time sequence refers to the time sequence of the actual occurrence of various state events of the component.

[0099] The state path sequence refers to a sequence formed by a series of ordered state events of the component in the use process in chronological order, which can reflect the evolution path of the component from the initial state to the subsequent state.

[0100] In the embodiment of the present application, each component will experience a series of ordered events (i.e. the whole life cycle of the component) in the use process, such as manufacturing → running → maintenance → running → replacement → running → scrap, after obtaining a plurality of state events reflecting different states of the component, the state events are sorted in order according to the time sequence of the actual occurrence of the state events, such as the component experiences manufacturing, running, maintenance, running again, replacement, running again until scrap, and so on, which are arranged in chronological order, thereby obtaining the state path sequence of each component.

[0101] Step 103, calculating the life cycle path entropy of each state path sequence.

[0102] The life cycle path entropy refers to an index for quantifying the complexity and uncertainty of the state path sequence of the component, which is obtained by calculating the occurrence probability and conversion frequency of each state event in the state path sequence. It can reflect the disorder degree or orderliness of the state evolution of the component in the whole life cycle. The higher the entropy value is, the more complex the state path is and the greater the uncertainty is, and vice versa, the path is more stable and the predictability is stronger.

[0103] Further, step 103 can include the following sub-steps:

[0104] S31, classifying and counting each state event in each state path sequence to obtain probability distribution data of a plurality of state events.

[0105] The state event classification refers to classifying events with the same nature in the state path sequence into the same category, such as combining all maintenance related events into "maintenance events".

[0106] The probability distribution data refers to the frequency or probability value of various state events in the entire state path sequence, and is used to describe the possibility distribution of different state events and provide basic data for subsequent life cycle path entropy calculation.

[0107] In the embodiment of the present application, based on the state path sequence of each component, the manufacturing, maintenance, replacement, deterioration, and scrap state events contained therein are classified, and events with the same nature are classified into the same state category. Then, the probability distribution data of various state events, including the stop probability value and the transition probability value, are obtained through statistical analysis. The stop probability value refers to the proportion of the time that the component stays in a certain state category to the total time of its whole life cycle. For example, the stop probability value of the "running state" is 70%, which reflects the stable and continuous degree of the component in this state. The transition probability value refers to the possibility of the component transitioning from one state category to another, such as the probability value of 15% from the "running state" to the "maintenance state", which reflects the conversion law between different states. Through such statistics, the probability characteristics of the state events can be fully described.

[0108] The stop probability value refers to the proportion of the time that the component stays in a certain state category to the total time of its whole life cycle, which is used to quantify the stable and continuous degree of the component in a specific state.

[0109] The transition probability value refers to the possibility of the component transitioning from one state category to another, which is usually expressed in percentage or decimal, and is used to describe the conversion law between different states.

[0110] In practical implementation, the following statistical methods can be used to obtain the dwell probability and transition probability values ​​based on the state path sequence: First, the events in the state path sequence are divided into state categories (such as manufacturing, operation, maintenance, scrapping, etc.). For the dwell probability value, the time proportion statistical method is used. First, the continuous dwell time of the component under each state category is extracted (for example, the time span from the start of the "operation state" to the transition to the "maintenance state"). Then, the proportion of the dwell time of each state to the total life cycle time of the component is calculated, and the dwell probability value of the corresponding state can be obtained. For example, for a certain component... The component operates for 14 months, with a total lifespan of 20 months, resulting in a 70% probability of being out of service. For the transition probability, a state transition frequency statistical method is used. First, the number of transitions from the initial state to the target state in the state path sequence is counted (e.g., 3 transitions from "operation" to "maintenance" and 2 transitions from "maintenance" to "operation"). Then, the proportion of a specific transition frequency to the total number of state transitions is calculated to obtain the transition probability value for that state transition. For example, when the total number of transitions is 10, the transition probability value for "operation → maintenance" is 30%. Through these two statistical methods, the stable dwell characteristics of the component in each state and the transition patterns between different states can be accurately quantified, thus constructing a complete probability distribution data set.

[0111] S32. Input multiple probability distribution data into the preset path entropy function to obtain the life cycle path entropy of each state path sequence.

[0112] The probability distribution data includes dwell probability values ​​and transition probability values, and the preset path entropy function is as follows:

[0113]

[0114] In the formula, Indicates the first The lifecycle path entropy of the state path sequence of a component. , Indicates the total number of components. The event type indicating the departure status is The probability value of a component remaining stationary at a given time reflects the likelihood that the component will remain stationary in its starting state. Indicates the event type from the starting state. Transition to Arrival Status Event Type The transition probability value reflects the likelihood of transitions between different states. This represents the total number of different state events experienced within the state path sequence, used to define the scope of state events involved in the calculation. Indicates the status event type number of the departure. This indicates the event type number that has arrived, used to distinguish different status event types.

[0115] The preset path entropy function refers to a mathematical function for calculating the life cycle path entropy of the component state path sequence, which quantifies the complexity and uncertainty of the state path by integrating the stationary probability value and the state transition probability value of the starting state event.

[0116] The life cycle path entropy refers to an index for measuring the complexity and uncertainty of the component state path sequence, and the higher the entropy value, the more complex and uncertain the state path is, and vice versa, the path is more stable and the predictability is stronger. i In the embodiment of the present application, after obtaining the probability distribution data of the stationary probability value and the transition probability value of the plurality of state events, the probability distribution data is input into the preset path entropy function, so as to obtain the life cycle path entropy of each state path sequence.

[0118] It is worth mentioning that the traditional method does not consider the carbon influence of the maintenance behavior, resulting in the evaluation result being inconsistent with the actual operation and maintenance. The state event data of the factory maintenance behavior is used as an important input data source in the present application, which directly participates in the component path modeling and carbon factor adjustment, and the accounting result is influenced by the dynamic indexes such as "maintenance frequency" and "replacement times", so that the model is closer to the real engineering background, and the system applicability and reliability are improved.

[0119] Step 104, inputting each life cycle path entropy into a preset carbon emission factor correction function to dynamically correct the benchmark carbon emission factor, and obtaining the dynamic carbon emission factor of each component.

[0120] Further, the preset carbon emission factor correction function is specifically:

[0121]

[0122] In the formula, the dynamic carbon emission factor of the component after dynamic correction, the dynamic carbon emission factor of the component, the benchmark carbon emission factor of the component, the initial carbon emission factor without considering the influence of the state path, the entropy sensitivity coefficient of the component, the sensitivity of the life cycle path entropy to the carbon emission factor, the nonlinear response index of the component, the nonlinear response index of the life cycle path entropy to the carbon emission factor.

[0123] The preset carbon emission factor correction function refers to a mathematical function for dynamically adjusting the benchmark carbon emission factor of the component in combination with the life cycle path entropy, which quantifies the influence of the life cycle path complexity and uncertainty on the carbon emission factor by introducing the entropy sensitivity coefficient and the nonlinear response index.

[0124] The dynamic carbon emission factor refers to a carbon emission factor that can reflect changes of components due to state path complexity and uncertainty after being corrected by a preset carbon emission factor correction function.

[0125] In the embodiment of the present application, after obtaining the life cycle path entropy of each state path sequence, the life cycle path entropy is input into the preset carbon emission factor correction function to dynamically correct the reference carbon emission factor, and then the dynamic carbon emission factor of each component is obtained.

[0126] It is worth mentioning that the preset carbon emission factor correction function is used to dynamically correct the reference carbon emission factor in the present application, which can combine component-level structure evolution information, dynamic carbon factor adjustment mechanism, and plant maintenance behavior response, accurately quantify the complexity and dynamic behavior path of component-level structure evolution, improve the accounting accuracy and adaptability, and at the same time has clear component structure logic path support, good universality and interpretability, and can also adapt to different data situations and engineering scale applications, effectively solving the shortcomings of traditional methods, and providing more accurate technical support for green manufacturing and low-carbon operation of power equipment.

[0127] It is worth mentioning that the existing method only relies on a static carbon factor and ignores the maintenance and evolution behavior during equipment operation. The present application introduces the "life cycle state path" and "path entropy value" analysis technology to quantify the frequency and complexity of the structure state change of the component in its use cycle, breaks through the limitation of the "fixed" carbon emission factor, and for the first time realizes the behavior response of carbon accounting to the actual running state.

[0128] It is worth mentioning that compared with the existing static setting mode of carbon factor mainly based on material properties, the present application constructs a dynamic adjustment formula combining path entropy value, entropy sensitivity coefficient and nonlinear response index, which can accurately express the nonlinear characteristics of component life cycle structure evolution, realize individualized and situational adjustment of carbon factor, and enhance the adaptability of the model to complex operating conditions.

[0129] Step 105, obtaining additional emission data and quality attribute data of each component, combining the dynamic carbon emission factor and the preset correction factor to determine the total carbon emission of the porcelain column type circuit breaker in the whole life cycle.

[0130] The additional emission data refers to the carbon emission data generated in addition to the basic carbon emission generated by materials and processes in the production and manufacturing link of the porcelain column type circuit breaker component in the whole life cycle, covering the carbon emission of non-core production links such as logistics transportation (such as energy consumption carbon emission in the component transportation process), installation and debugging (carbon emission related to equipment operation and personnel operation during installation), maintenance (carbon emission generated by equipment start-stop and replacement and transportation of parts during maintenance), etc.

[0131] Quality attribute data refers to relevant data for describing the quality characteristics of the porcelain column circuit breaker components, such as the mass size of the components, the mass stability (changes in mass over a long period of use), the mass test results (whether there are quality defects, etc.), and the like. These data will have an impact on the service life of the components, the maintenance frequency, and the like, and are further related to the carbon emission situation.

[0132] Dynamic carbon emission factor refers to a carbon emission factor obtained by dynamically adjusting the baseline carbon emission factor by a preset carbon emission factor correction function in combination with factors such as component life cycle path entropy. The dynamic carbon emission factor can more accurately reflect the carbon emission characteristics of the components that change due to factors such as state path complexity and uncertainty.

[0133] Preset correction factor refers to a coefficient for adjusting the carbon emission accounting result that is preset according to the actual situation (such as different use scenarios, environmental factors, etc.) of the porcelain column circuit breaker throughout the entire life cycle. The preset correction factor can correct some influence factors that are difficult to accurately quantify but actually exist in the accounting process.

[0134] Total carbon emission throughout the life cycle refers to the total carbon emission generated in all links of the entire life cycle process of the porcelain column circuit breaker, from raw material acquisition, component manufacturing, equipment assembly, transportation, installation, operation, maintenance, to final disposal.

[0135] Further, step 105 can include the following sub-steps:

[0136] S41, obtain additional emission data and quality attribute data of each component.

[0137] In the embodiments of the present application, through channels such as logistics transportation records, installation and debugging logs, and maintenance archives, additional emission data of each component in links such as logistics transportation (carbon emission generated by energy consumption during transportation), installation and debugging (carbon emission related to equipment operation and operation during installation), and maintenance (carbon emission generated by equipment start-stop and transportation of spare parts during maintenance) is obtained, and quality attribute data of each component such as mass size, mass stability, and mass test results is extracted from quality test reports and equipment account books.

[0138] S42, the preset correction factor includes a stage attribute correction kernel;

[0139] The additional emission data, the quality attribute data, the dynamic carbon emission factor, and the stage attribute correction kernel are input into a preset single-stage contribution carbon emission function to obtain a single-stage contribution carbon emission value of each component;

[0140] The preset single-stage contribution carbon emission function is specifically:

[0141]

[0142] In the formula, representing means In the state path sequence a single-stage contribution carbon emission value, representing means In the state path sequence quality attribute data of the state path sequence, reflecting the quality characteristics of the stage means, representing means In the state path sequence a dynamic carbon emission factor of the state path sequence, embodying the carbon emission factor adjusted dynamically in the stage, representing means In the state path sequence a stage attribute correction kernel for the stage attribute correction of carbon emission, representing means In the state path sequence additional emission data of the state path sequence, being carbon emission data additionally generated in the stage, representing the total number of state path sequences, defining the range of the state path sequence.

[0143] The preset correction factor refers to a pre-set factor for adjusting the carbon emission accounting, and the stage attribute correction kernel embodied herein can reflect the correction effect of different stage attributes on carbon emission.

[0144] The stage attribute correction kernel refers to the core part of the preset correction factor for carbon emission correction according to different stage attributes (such as characteristics in different operation and maintenance stages) of the means.

[0145] The preset single-stage contribution carbon emission function refers to a mathematical function for calculating the carbon emission contribution value of the means in a single stage, which integrates quality, dynamic carbon emission, stage attribute correction, and additional emission.

[0146] The single-stage contribution carbon emission value refers to the carbon emission contribution amount generated by the means in a single stage in the state path sequence.

[0147] In the embodiment of the present application, the known preset correction factor includes the stage attribute correction kernel, the additional emission data, the quality attribute data, the dynamic carbon emission factor, and the stage attribute correction kernel are input into the preset single-stage contribution carbon emission function, so as to obtain the single-stage contribution carbon emission value of each means.

[0148] S43, input all single-stage contribution carbon emission values into a preset total carbon emission function to obtain the total carbon emission amount of the porcelain column type circuit breaker in the whole life cycle;

[0149] The preset total carbon emission function is specifically:

[0150]

[0151] In the formula, The total carbon emission of all components in all state path sequences .

[0152] The total carbon emission of the whole life cycle refers to the total carbon emission generated by all components at each stage in the entire life cycle of the porcelain column circuit breaker, from raw material acquisition, production and manufacturing, transportation, installation, operation, maintenance and repair to final disposal.

[0153] In the embodiment of the present application, after obtaining the single-stage contribution carbon emission value of each component, all single-stage contribution carbon emission values are input into the preset total carbon emission function of all stages to obtain the total carbon emission of the porcelain column circuit breaker in the whole life cycle.

[0154] Further, the following steps can also be included:

[0155] After S42, the total carbon emission of the porcelain column circuit breaker in the whole life cycle can also be calculated in the following way. This step introduces a time sequence weight, and the total carbon emission of the porcelain column circuit breaker in the whole life cycle is calculated by a preset total carbon emission function of all stages with time factors.

[0156] S421, the preset correction factor also includes a time sequence weight;

[0157] The single-stage contribution carbon emission value and the time sequence weight are input into the preset total carbon emission function of all stages with time factors to obtain the total carbon emission of the porcelain column circuit breaker in the whole life cycle;

[0158] The preset total carbon emission function of all stages with time factors is specifically:

[0159]

[0160] In the formula, The total carbon emission of the porcelain column circuit breaker in the whole life cycle, The time sequence weight of the state path sequence .

[0161] The time sequence weight refers to the weight given according to the time sequence of the state path sequence, which is used to reflect the difference in the importance of carbon emission at different time stages.

[0162] The preset total carbon emission function of all stages with time factors refers to a mathematical function used to calculate the total carbon emission of the porcelain column circuit breaker in the whole life cycle after introducing the time sequence weight, which can more accurately reflect the influence of the time dimension on carbon emission.

[0163] In the embodiment of the present application, the preset correction factor also includes a time sequence weight, so that the single-stage contribution carbon emission value and the time sequence weight are input into the preset total-stage time factor carbon emission total function, and then the total carbon emission of the porcelain column type circuit breaker in the whole life cycle is obtained.

[0164] It is worth mentioning that the introduction of the time sequence weight can reflect the time value difference of carbon emissions in different stages, make the calculation of the total carbon emission in the whole life cycle more in line with the carbon emission rule in the actual time dimension, and further improve the accounting accuracy.

[0165] It is worth mentioning that, through the fine integration of the carbon emission data of the circuit breaker component level, path level and stage level, the present application realizes the change from "static evaluation" to "dynamic evolution response", avoids the "estimated simplification" of the operation and maintenance behavior in the traditional method, and the total carbon emission in the whole life cycle obtained is more in line with the real operation track of the equipment, and has stronger data interpretation and engineering decision support value.

[0166] The present application is especially suitable for the following scenarios:

[0167] Carbon evaluation of medium / high voltage circuit breaker equipment in the power industry;

[0168] Carbon label evaluation and design optimization of power equipment in green factory projects;

[0169] Enterprise digital operation and maintenance platform that needs to integrate maintenance data into the carbon management system;

[0170] Carbon accounting module integration in the product life cycle management (PLM) system.

[0171] The advantage is that it can not only be used as an independent carbon evaluation model, but also can be integrated with MES (Manufacturing Execution System) / PLM / ERP (Enterprise Resource Planning) system to realize the "carbon account book" at the component level.

[0172] Please refer to Figure 2 , Figure 2 A structure block diagram of a porcelain column type circuit breaker whole life cycle carbon emission accounting system based on factory maintenance provided by the embodiment of the present application.

[0173] The porcelain column type circuit breaker whole life cycle carbon emission accounting system based on factory maintenance provided by the present application comprises:

[0174] The construction module 201 is used for constructing the structure feature vector of each component of the porcelain column type circuit breaker.

[0175] The processing module 202 is configured to perform state event extraction and timing arrangement on the structure feature vector to obtain a state path sequence of each component;

[0176] The calculation module 203 is configured to calculate a life cycle path entropy of each state path sequence;

[0177] The correction module 204 is configured to input the life cycle path entropy into a preset carbon emission factor correction function to dynamically correct a baseline carbon emission factor, and obtain a dynamic carbon emission factor of each component;

[0178] The output module 205 is configured to obtain additional emission data and quality attribute data of each component, combine the dynamic carbon emission factor and a preset correction factor, and determine a total carbon emission amount of the porcelain column circuit breaker in the whole life cycle.

[0179] Further, the construction module 201 comprises:

[0180] The dimensional feature data submodule is configured to obtain dimensional feature data corresponding to a plurality of dimensional features of each component in the porcelain column circuit breaker;

[0181] The dimensional feature coding submodule is configured to perform feature coding on each dimensional feature data to obtain a plurality of dimensional feature codes;

[0182] The structure feature vector submodule is configured to sort each dimensional feature code to generate a structure feature vector of each component.

[0183] Further, the processing module 202 comprises:

[0184] The dimensional feature submodule is configured to extract dimensional features associated with the plurality of dimensional feature codes from each structure feature vector;

[0185] The state event submodule is configured to perform event type matching using each dimensional feature to obtain a plurality of state events reflecting different states of the component;

[0186] The state path sequence submodule is configured to sort each state event according to the timing of the occurrence of the state event to obtain a state path sequence of each component.

[0187] Further, the calculation module 203 comprises:

[0188] The probability distribution data submodule is configured to classify and count each state event in each state path sequence to obtain probability distribution data of a plurality of state events;

[0189] The life cycle path entropy submodule is configured to input the plurality of probability distribution data into a preset path entropy function to obtain a life cycle path entropy of each state path sequence;

[0190] The probability distribution data includes a stationary probability value and a transition probability value, and the preset path entropy function is specifically:

[0191]

[0192] In the formula, denotes the life cycle path entropy of a state path sequence of the mth component, , denotes the total number of components, denotes the stationary probability value when the starting state event type is denotes the transition probability value from the starting state event type to the arrival state event type denotes the total number of different state events experienced in the state path sequence, denotes the starting state event type number, denotes the arrival event type number.

[0193] Further, the preset carbon emission factor correction function is specifically:

[0194]

[0195] In the formula, denotes the dynamic carbon emission factor of the component after dynamic correction, denotes the baseline carbon emission factor of the component , denotes the entropy sensitivity coefficient of the component , denotes the nonlinear response index of the component .

[0196] Further, the output module 205 includes:

[0197] a data acquisition sub-module for acquiring additional emission data and quality attribute data of each component;

[0198] The preset correction factor includes a stage attribute correction kernel;

[0199] a single-stage contribution carbon emission value sub-module for inputting the preset single-stage contribution carbon emission function by using the additional emission data, the quality attribute data, the dynamic carbon emission factor, and the stage attribute correction kernel to obtain a single-stage contribution carbon emission value of each component;

[0200] The preset single-stage contribution carbon emission function is specifically:

[0201] ​​​

[0202] In the formula, Representing components In the state path sequence The single-stage contribution of carbon emissions, Representing components In the state path sequence Quality attribute data, Representing components In the state path sequence Dynamic carbon emission factors Representing components In the state path sequence The stage attribute correction kernel, Representing components In the state path sequence Additional emissions data, This represents the total number of state path sequences.

[0203] The total carbon emissions submodule is used to input all single-stage contribution carbon emission values ​​into a preset total carbon emissions function to obtain the total carbon emissions of the porcelain column circuit breaker throughout its entire life cycle.

[0204] The preset total carbon emission function is as follows:

[0205]

[0206] In the formula, This indicates that all components are in all state path sequences. Total carbon emissions.

[0207] Please see Figure 3 , Figure 3 This is a structural block diagram of an electronic device provided in an embodiment of the present invention.

[0208] An electronic device according to an embodiment of the present invention includes: a memory 301 and a processor 302. The memory 301 stores a computer program. When the computer program is executed by the processor 302, the processor 302 executes the carbon emission accounting method for the entire life cycle of porcelain column circuit breakers based on factory maintenance as described in any of the above embodiments.

[0209] The memory 301 can be an electronic memory such as a flash memory, an EEPROM (Electrically Erasable Programmable Read-Only Memory), an EPROM, a hard disk, or a ROM. The memory 301 has a storage space 303 for program codes 313 for performing any of the method steps in the above-described methods. For example, the storage space 303 for program codes can include individual program codes 313 for implementing various steps in the above-described methods, respectively. These program codes can be read from or written to one or more computer program products. These computer program products include program code carriers such as a hard disk, a compact disc (CD), a memory card, or a floppy disk. The program codes can be compressed, for example, in a suitable form. These codes, when run by a computing processing device, cause the computing processing device to perform the individual steps in the above-described methods. These program codes can be read from or written to one or more computer program products. These computer program products include program code carriers such as a hard disk, a compact disc (CD), a memory card, or a floppy disk. The program codes can be compressed, for example, in a suitable form. These codes, when run by a computing processing device, cause the computing processing device to perform the individual steps in the above-described methods based on factory overhauled porcelain column type circuit breaker full life cycle carbon emission accounting method.

[0210] The embodiment of the present application also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the factory overhauled porcelain column type circuit breaker full life cycle carbon emission accounting method according to any of the above-mentioned embodiments.

[0211] The embodiment of the present application also provides a computer program product, which includes a computer program stored on a non-transitory computer readable storage medium, and the computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer executes the factory overhauled porcelain column type circuit breaker full life cycle carbon emission accounting method according to any of the above-mentioned embodiments.

[0212] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be described here.

[0213] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other manners. For example, the division of the units is only a logical function division, and there can be another division manner for the actual implementation, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between different units, can be indirect couplings or communication connections through some interfaces, devices or units, and can be electrical, mechanical or in other forms.

[0214] The units described as separated components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments of the present application.

[0215] In addition, each functional unit in the various embodiments of the present application can be integrated in a processing unit, or each unit can exist physically as a separate unit, or two or more units can be integrated in one unit. The integrated unit can be implemented in the form of hardware, or in the form of a software functional unit.

[0216] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solutions of the present application essentially, or the part that contributes to the prior art, or all or a part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in the various embodiments of the present application. The foregoing storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, and various media that can store program codes.

[0217] The above embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements for some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for calculating the carbon emissions of porcelain-column circuit breakers throughout their entire life cycle based on factory maintenance, characterized in that, include: Construct structural feature vectors for each component of a porcelain column circuit breaker. The structural features include material type coding, component location level, unit mass, vulnerability level, and maintenance frequency level. The state event extraction and temporal arrangement of the structural feature vector are performed to obtain the state path sequence of each component; Calculate the lifecycle path entropy of each of the aforementioned state path sequences; The calculation of the lifecycle path entropy of each of the state path sequences includes: Classify and statistically analyze each state event within each state path sequence to obtain probability distribution data for multiple state events; By inputting multiple probability distribution data into a preset path entropy function, the lifecycle path entropy of each state path sequence is obtained; The probability distribution data includes dwell probability values ​​and transition probability values, and the preset path entropy function is specifically: In the formula, Indicates the first The lifecycle path entropy of the state path sequence of a component. , Indicates the total number of components. The event type indicating the departure status is The probability value of dwell time. Indicates the event type from the starting state. Transition to Arrival Status Event Type The transition probability value, This represents the total number of different state events experienced within a state path sequence. Indicates the status event type number of the departure. Indicates the event type number that has arrived; The baseline carbon emission factor is dynamically corrected by using the life cycle path entropy input of each component to a preset carbon emission factor correction function, thereby obtaining the dynamic carbon emission factor of each component. Acquire additional emission data and quality attribute data of each component, and combine them with the dynamic carbon emission factor and the preset correction factor to determine the total carbon emissions of the porcelain column circuit breaker throughout its entire life cycle. The additional emissions data refers to the carbon emissions generated by the porcelain column circuit breaker components throughout their entire life cycle, in addition to the basic carbon emissions generated by materials and processes during the manufacturing process. This includes carbon emissions from non-core production processes such as logistics and transportation, installation and commissioning, and maintenance.

2. The method for calculating the carbon emissions of porcelain-column circuit breakers throughout their entire life cycle based on factory maintenance, as described in claim 1, is characterized in that... The structural feature vectors of each component of the porcelain column circuit breaker are constructed as follows: Obtain dimensional feature data corresponding to multiple dimensional features of each component inside the porcelain column circuit breaker; Feature encoding is performed on the feature data of each dimension to obtain multiple dimension feature codes; The dimensional feature codes are sorted to generate the structural feature vectors of each component.

3. The method for calculating the carbon emissions of porcelain-column circuit breakers throughout their entire life cycle based on factory maintenance, as described in claim 2, is characterized in that... The step of extracting state events and arranging the temporal sequence of the structural feature vectors to obtain the state path sequence of each component includes: Extract multiple dimensional features from each of the structural feature vectors to encode the associated dimensional features; Event type matching is performed using the aforementioned dimensional features to obtain multiple state events reflecting different states of the component; Based on the order of occurrence of state events, the state events are sorted sequentially to obtain the state path sequence of each component.

4. The method for calculating the carbon emissions of porcelain-column circuit breakers throughout their entire life cycle based on factory maintenance, as described in claim 1, is characterized in that... The preset carbon emission factor correction function is specifically as follows: In the formula, This indicates that after dynamic correction, the component Dynamic carbon emission factors Representation of components The baseline carbon emission factor Representation of components The entropy sensitivity coefficient, Representation of components The nonlinear response index.

5. The method for calculating the carbon emissions of porcelain-column circuit breakers throughout their entire life cycle based on factory maintenance, as described in claim 1, is characterized in that... The step of obtaining additional emission data and quality attribute data for each component, and combining the dynamic carbon emission factor and preset correction factor to determine the total carbon emissions of the porcelain column circuit breaker over its entire life cycle includes: Obtain additional emission data and mass attribute data for each of the aforementioned components; The preset correction factor includes a stage attribute correction kernel; The additional emission data, the quality attribute data, the dynamic carbon emission factor, and the stage attribute correction kernel are used as inputs to a preset single-stage contribution carbon emission function to obtain the single-stage contribution carbon emission value of each component. The preset single-stage contribution carbon emission function is specifically as follows: In the formula, Representation of components In the state path sequence The single-stage contribution carbon emission value, Representation of components In the state path sequence Quality attribute data, Representation of components In the state path sequence Dynamic carbon emission factors Representation of components In the state path sequence The stage attribute correction kernel, Representation of components In the state path sequence Additional emissions data, Indicates the total number of state path sequences; By inputting all the single-stage contribution carbon emission values ​​into a preset total carbon emission function, the total carbon emission of the porcelain column circuit breaker over its entire life cycle is obtained. The preset total carbon emission function is specifically as follows: In the formula, This indicates that all components are in all state path sequences. Total carbon emissions.

6. A life-cycle carbon emission accounting system for porcelain-column circuit breakers based on factory maintenance, characterized in that, The factory-maintenance-based carbon emission accounting system for porcelain-column circuit breakers throughout their entire life cycle is used to implement the factory-maintenance-based carbon emission accounting method for porcelain-column circuit breakers throughout their entire life cycle as described in any one of claims 1-5. The factory-maintenance-based carbon emission accounting system for porcelain-column circuit breakers throughout their entire life cycle includes: The module is used to construct the structural feature vectors of each component of the porcelain column circuit breaker. The processing module is used to extract state events and arrange the timing sequence of the structural feature vector to obtain the state path sequence of each component; The calculation module is used to calculate the lifecycle path entropy of each of the aforementioned state path sequences; The correction module is used to dynamically correct the baseline carbon emission factor by using the life cycle path entropy input of each of the above-mentioned components to a preset carbon emission factor correction function, thereby obtaining the dynamic carbon emission factor of each of the above-mentioned components. The output module is used to acquire additional emission data and quality attribute data of each component, and combine the dynamic carbon emission factor and the preset correction factor to determine the total carbon emissions of the porcelain column circuit breaker throughout its entire life cycle.

7. An electronic device, characterized in that, The device includes a memory and a processor. The memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of the carbon emission accounting method for the entire life cycle of porcelain-column circuit breakers based on factory maintenance as described in any one of claims 1-5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed, it implements the carbon emission accounting method for the entire life cycle of porcelain column circuit breakers based on factory maintenance as described in any one of claims 1-5.

9. A computer program product, characterized in that, The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, wherein when the program instructions are executed by a computer, the computer performs the carbon emission accounting method for the entire life cycle of porcelain column circuit breakers based on factory maintenance as described in any one of claims 1-5.

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