A life cycle-oriented office consumable carbon footprint tracking and tracing method and system

Abstract

The application relates to the field of carbon footprint tracking, in particular to an office consumable carbon footprint tracking and tracing method and system for a whole life cycle. The method comprises the following steps: acquiring dynamic use data sets in a single carbon powder supplement cycle of a selenium drum, based on which, carbon powder consumption analysis, printing job carbon emission analysis and direct power carbon emission analysis are carried out, and a carbon emission set in the carbon powder supplement cycle is generated; acquiring selenium drum waste disposal information, based on which, service whole cycle carbon emission integration and closed loop processing carbon offset accounting are carried out, and a selenium drum service whole cycle net carbon emission set is generated; based on this, carbon footprint report visualization generation and low-carbon management suggestions are carried out, and a selenium drum whole life cycle carbon footprint report is generated and output. In the office consumable carbon footprint tracking process, accurate carbon management and emission reduction decision can be supported, and the credibility of enterprise carbon disclosure and the effectiveness of emission reduction strategy can be enhanced.

Description

Technical Field

[0001] This application relates to the field of carbon footprint tracking, and in particular to a method and system for carbon footprint tracking and tracing of office consumables throughout their entire lifecycle. Background Technology

[0002] In the field of precise carbon emission accounting for printing operations, printers, as key output devices in modern office and production activities, have carbon footprints that enterprises and institutions must accurately measure to fulfill their environmental responsibilities, and have become an important part of green office and sustainable supply chain management.

[0003] However, existing methods for calculating carbon emissions from printing operations generally rely on extensive empirical parameters such as rated power consumption of equipment, static paper coefficient, and average toner consumption. They lack a mechanism for systematically perceiving and integrating multi-dimensional variables. This not only leads to a serious disconnect between the calculation results and actual physical consumption, making it impossible to support accurate carbon management and emission reduction decisions, but may also affect the credibility of corporate carbon disclosure and the effectiveness of emission reduction strategies due to data distortion. Summary of the Invention

[0004] This application provides a method and system for tracking and tracing the carbon footprint of office consumables throughout their entire lifecycle, in order to solve the aforementioned technical problems.

[0005] Firstly, this application provides a method for tracing and tracking the carbon footprint of office consumables throughout their entire lifecycle, the method comprising:

[0006] The system acquires dynamic usage data within a single toner refill cycle of the toner cartridge. Based on this dynamic usage data, it performs toner consumption analysis, printing job carbon emission analysis, and direct electricity carbon emission analysis to generate a toner refill cycle carbon emission set. It also acquires toner cartridge disposal information. Based on the toner refill cycle carbon emission set and the toner cartridge disposal information, it performs full-cycle carbon emission integration and closed-loop carbon offset accounting to generate a full-cycle net carbon emission set for the toner cartridge. Based on the full-cycle net carbon emission set for the toner cartridge, it generates a visualized carbon footprint report and provides low-carbon management suggestions, generating and outputting a full-lifecycle carbon footprint report for the toner cartridge.

[0007] The above technical solutions have achieved a breakthrough in the carbon footprint of office consumables, moving from static estimation to dynamic and precise traceability. By quantifying the carbon offsetting benefits of closed-loop recycling, green disposal behaviors are incentivized. At the same time, user printing behavior and equipment energy consumption are included in the accounting, providing data support for refined management and promoting the transformation of enterprise carbon emission reduction from monitoring and accounting to closed-loop optimization.

[0008] Optionally, the process of generating the carbon emission set for the toner replenishment cycle includes: collecting the toner consumption change sequence, print job log sequence, and direct energy consumption monitoring sequence of the toner cartridge within a single toner replenishment cycle through the printing device interface and IoT sensing unit, forming the dynamic usage dataset; based on the dynamic usage dataset, performing toner consumption analysis, print job carbon emission analysis, and direct power carbon emission analysis in parallel to obtain the toner consumption carbon emission component, print job carbon emission component, and power consumption carbon emission component, respectively; summing the toner consumption carbon emission component, the print job carbon emission component, and the power consumption carbon emission component to generate the carbon emission set for the toner replenishment cycle, which includes the total carbon emission of the cycle and its components.

[0009] Optionally, the toner consumption analysis includes: identifying the task type of each print job based on the print job log sequence, and determining the baseline toner consumption coefficient for each task type according to the preset task type-typical toner coverage correspondence; dynamically correcting the baseline toner consumption coefficient in conjunction with print quality mode settings to generate a task-level dynamic toner consumption coefficient reflecting actual printing characteristics; calculating and accumulating the corrected toner consumption amount representing actual physical consumption for each task based on the task-level dynamic toner consumption coefficient and the number of pages printed for the corresponding task; querying the preset toner implicit carbon emission factor database through the batch identifier of the currently replenished toner to obtain the corresponding toner implicit carbon emission coefficient; and multiplying the corrected toner consumption amount by the toner implicit carbon emission coefficient to calculate the toner consumption carbon emission component.

[0010] Optionally, the print job carbon emission analysis includes: parsing the print job log sequence to identify the document type and preset print quality mode of each print task; determining whether the current print task is in a low-carbon printing mode based on preset mode-energy consumption-paper consumption association rules; if so, multiplying the number of pages printed in the low-carbon printing mode by a page carbon emission conversion factor; converting the number of pages printed after adjustment by the page carbon emission conversion factor together with the number of pages printed in the standard mode to an equivalent standard number of pages; querying a preset paper basic carbon emission factor database based on the type and specification information of the paper used to obtain the corresponding paper carbon emission factor; multiplying the equivalent standard number of pages printed by the paper carbon emission factor to calculate the print job carbon emission component that incorporates the user's low-carbon printing behavior.

[0011] Optionally, the direct electricity carbon emission analysis includes: acquiring the working status time-series data of the printing equipment within the replenishment cycle based on the direct energy consumption monitoring sequence, and analyzing the total power consumption value of the printing equipment to which the toner cartridge belongs within the single toner replenishment cycle; the working status time-series data decomposes the total power consumption value into printing working status energy consumption, standby energy consumption, and sleep status energy consumption; matching the corresponding regional power grid carbon emission coefficient according to the printing equipment registration location information; multiplying the total power consumption value by the regional power grid carbon emission coefficient to calculate the direct carbon dioxide emission equivalent corresponding to the power consumed by the printing equipment, which is used as the power consumption carbon emission component.

[0012] Optionally, the process of generating the net carbon emission set for the entire service life of the toner cartridge includes: based on the unique identifier of the toner cartridge, retrieving and aggregating the carbon emission sets corresponding to all historical toner replenishment cycles, dynamically integrating them by introducing prior knowledge of the cycle carbon emission intensity changes, and obtaining the cumulative total carbon emissions during service life; according to the final processing path indicated by the toner cartridge disposal information, querying the pre-set disposal method carbon impact factor library, calculating the carbon emissions or carbon offsets generated in the disposal stage, and generating the carbon impact amount in the disposal stage; and algebraically summing the cumulative total carbon emissions during service life with the carbon impact amount in the disposal stage to generate the net carbon emission set for the entire service life of the toner cartridge.

[0013] Optionally, the dynamic integration of prior knowledge of periodic carbon emission intensity changes includes: using the unique identifier of the toner cartridge as an index, extracting several carbon emission sets of the toner refill cycles arranged in chronological order; establishing an initial periodic carbon emission intensity benchmark for this toner cartridge based on historical data from the previous few refill cycles, analyzing the total periodic carbon emissions and total number of printed pages in subsequent refill cycles, and calculating the actual periodic carbon emission intensity; comparing the actual periodic carbon emission intensity of the subsequent refill cycles with the initial periodic carbon emission intensity benchmark based on the prior knowledge of periodic carbon emission intensity changes, identifying the carbon emission intensity change trend caused by equipment efficiency wear and tear and changes in usage patterns; performing trend correction on the carbon emission data of subsequent cycles based on the carbon emission intensity change trend, and then accumulating the corrected carbon emissions of all cycles to obtain the total cumulative carbon emissions during the service period that reflects the evolution of the equipment's service status.

[0014] Optionally, the calculation of carbon emissions or carbon offsets generated during the disposal phase includes: based on the toner cartridge disposal information, determining whether the final destination of the toner cartridge is a certified closed-loop recycling channel; if so, calling the negative carbon offset factor corresponding to professional closed-loop recycling from the disposal method carbon impact factor library, where the negative carbon offset factor represents the carbon emissions from virgin material production avoided due to the recycling of toner cartridge shell and component materials; matching the negative carbon offset factor with the toner cartridge standard weight and material list to calculate the specific carbon offset generated by the toner cartridge due to recycling, which is used as the carbon impact amount during the disposal phase; if not, according to the actual treatment method in the toner cartridge disposal information, calling the corresponding positive carbon emission factor from the disposal method carbon impact factor library, where the positive carbon emission factor represents the greenhouse gas emissions generated during the informal dismantling of the toner cartridge; calculating the specific carbon emissions based on the positive carbon emission factor, which is used as the carbon impact amount during the disposal phase.

[0015] Optionally, the process of generating the toner cartridge's full lifecycle carbon footprint report includes: performing structured data processing based on the toner cartridge's net carbon emissions set throughout its service life to generate a visual chart containing a full-cycle carbon footprint decomposition, key carbon emission intensity indicators, and comparison results with a benchmark of the same model; combining the composition and trend of the cumulative total carbon emissions during service and the attributes of the carbon impact during the disposal stage, automatically generating personalized low-carbon management suggestions for the toner cartridge's usage mode, maintenance timing, and disposal options through a built-in rule engine; integrating the visual chart and the personalized low-carbon management suggestions to generate and output the toner cartridge's full lifecycle carbon footprint report, which can be directly used by users or management systems.

[0016] Secondly, this application provides a carbon footprint tracking and traceability system for office consumables throughout their entire lifecycle, the system comprising:

[0017] The replenishment cycle module is used to acquire dynamic usage data within a single toner replenishment cycle of the toner cartridge. Based on the dynamic usage data, it performs toner consumption analysis, printing job carbon emission analysis, and direct electricity carbon emission analysis to generate a toner replenishment cycle carbon emission set. The service life module is used to acquire toner cartridge disposal information. Based on the toner replenishment cycle carbon emission set and the toner cartridge disposal information, it performs full-service life carbon emission integration and closed-loop carbon offset accounting to generate a full-service life net carbon emission set of the toner cartridge. The report generation module is used to generate a carbon footprint report visualization and low-carbon management suggestions based on the full-service life net carbon emission set of the toner cartridge, and generate and output a full life cycle carbon footprint report of the toner cartridge. Attached Figure Description

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

[0019] Figure 1 This is a schematic diagram illustrating an application scenario provided in one embodiment of this application;

[0020] Figure 2 A flowchart illustrating a method for tracing and tracking the carbon footprint of office consumables throughout their entire lifecycle, as provided in an embodiment of this application;

[0021] Figure 3 This is a schematic diagram of a carbon footprint tracking and tracing system for office consumables throughout their entire lifecycle, provided as an embodiment of this application. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0023] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0024] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0025] Existing methods for calculating carbon emissions from printing operations generally rely on extensive empirical parameters such as rated power consumption of equipment, static paper coefficient, and average toner consumption. They lack a mechanism for systematically perceiving and integrating multi-dimensional variables. This not only leads to a serious disconnect between the calculation results and actual physical consumption, making it impossible to support accurate carbon management and emission reduction decisions, but may also affect the credibility of corporate carbon disclosure and the effectiveness of emission reduction strategies due to data distortion.

[0026] Based on this, this application provides a method and system for tracking and tracing the carbon footprint of office consumables throughout their entire lifecycle. First, IoT technology is used to collect dynamic usage data of toner cartridges in real time within a single toner refill cycle. Simultaneously, carbon emission analyses of toner consumption, printing jobs, and equipment power consumption are performed to generate a refined set of periodic carbon emissions. Then, based on the unique identifier of the toner cartridge, all its periodic data is aggregated and combined with its disposal information (such as professional closed-loop recycling) to calculate the cumulative carbon emissions during the usage phase and the carbon offset during the disposal phase, generating a net carbon emission set for the entire service life. Finally, this data is transformed into a visual report with quantifiable low-carbon management suggestions, outputting a complete lifecycle carbon footprint report, which is then distributed to company office staff. This solution achieves a breakthrough in the carbon footprint of office consumables, moving from static estimation to dynamic and precise traceability. By quantifying the carbon offset benefits of closed-loop recycling, it incentivizes green disposal behaviors. Simultaneously, it incorporates user printing behavior and equipment energy consumption into the calculation, providing data support for refined management and promoting enterprise carbon emission reduction from monitoring and accounting to closed-loop optimization.

[0027] Figure 1 This is a schematic diagram illustrating an application scenario provided by this application. In the process of tracking the carbon footprint of office supplies, the method provided in this application can support accurate carbon management and emission reduction decisions, enhancing the credibility of corporate carbon disclosure and the effectiveness of emission reduction strategies.

[0028] Specifically, the method of this application is applied to any server that communicates with the intelligent printing equipment sensing and monitoring unit and the enterprise inventory management platform. The server obtains dynamic usage datasets provided by the intelligent printing equipment sensing and monitoring unit and toner cartridge disposal information provided by the enterprise inventory management platform, and finally outputs a toner cartridge full life cycle carbon footprint report to the company's office staff.

[0029] For specific implementation details, please refer to the following examples.

[0030] Figure 2 This is a flowchart illustrating a method for tracking and tracing the carbon footprint of office consumables throughout their entire lifecycle, as provided in one embodiment of this application. The method of this embodiment can be applied to servers in the above-mentioned scenarios. (See also...) Figure 2 The process, specifically the implementation steps, are as follows:

[0031] Example 1: Existing methods for assessing the carbon footprint of office supplies typically employ industry averages or static estimation models, such as rough calculations based on the assumption that approximately a fixed amount of carbon dioxide is generated per page printed. These methods suffer from coarse granularity, failing to differentiate between actual carbon emissions under various usage patterns (e.g., duplex or single-sided printing, different print quality settings) and different equipment operating conditions. Furthermore, they lack dynamic tracking capabilities, failing to reflect the dynamic evolution of carbon emission intensity due to equipment aging and changes in usage habits. In addition, traditional methods often overlook the carbon offsetting benefits of closed-loop recycling, and the data is mostly based on estimations rather than real-time collection, resulting in untraceable data and a lack of credibility and verifiability.

[0032] To address the aforementioned issues, this application provides a method for tracing and tracking the carbon footprint of office consumables throughout their entire lifecycle. This method includes:

[0033] Step 1: Obtain the dynamic usage dataset within a single toner refill cycle of the toner cartridge. Based on the dynamic usage dataset, perform toner consumption analysis, print job carbon emission analysis, and direct power carbon emission analysis to generate a carbon emission dataset for the toner refill cycle.

[0034] The dynamic usage dataset refers to the multi-dimensional real-time operational data set generated by the toner cartridge during a single toner replenishment cycle. This data is collected collaboratively by the printer device interface (such as an SNMP protocol port) and IoT sensing units. Specifically, the dynamic usage dataset includes toner consumption change sequences, print job log sequences, and direct energy consumption monitoring sequences. The toner consumption change sequence is obtained by monitoring changes in toner level or weight using sensors, characterizing the real-time consumption rate of physical toner. The print job log sequence contains metadata for each print job recorded by the printer controller, including job type, page number, document format, and quality mode settings, used to reconstruct the user's specific printing behavior. The direct energy consumption monitoring sequence is power time-series data obtained through smart sockets or internal meters, used to accurately measure the device's power consumption under different operating conditions.

[0035] For example, in an office setting, when an HP 110A toner cartridge is inserted into the printer, the system automatically initiates data collection for the first toner replenishment cycle. During this cycle, the IoT module records the complete toner consumption curve from 100% to 15%, captures a detailed log of 2500 print jobs (60% of which were duplex drafts), and simultaneously records the printer's cumulative power consumption during printing, standby, and sleep modes. This parallel acquisition of multi-source data allows for the construction of a high-granularity, dynamic usage dataset, avoiding the biases inherent in traditional methods that rely on static averages.

[0036] Toner consumption analysis identifies task types based on print job log sequences, determines a baseline coefficient by combining a pre-defined task type-typical toner coverage correspondence, and dynamically adjusts it according to print quality modes. Finally, it calculates the toner consumption carbon emission component by incorporating the toner's implicit carbon emission factor. Print job carbon emission analysis analyzes document type and quality mode to determine if a low-carbon printing mode is in effect. It uses a page-count carbon emission conversion factor to convert the actual number of pages to an equivalent standard number of pages, and then calculates the print job carbon emission component incorporating the user's low-carbon behavior by combining this with the paper's basic carbon emission factor. Direct electricity carbon emission analysis obtains total electricity consumption values ​​based on direct energy consumption monitoring sequences, decomposes them into energy consumption under different working conditions, matches them with the regional power grid carbon emission factor, and calculates the direct CO2 emission equivalent. These three analyses are performed in parallel, quantifying the carbon contained in consumables, the carbon consumed in paper, and the direct electricity carbon, respectively.

[0037] This step aims to achieve a refined breakdown of carbon emissions during the consumable usage phase, using a single toner replenishment as the smallest accounting unit. By microscopically breaking down the macroscopic usage process into quantifiable replenishment cycles and combining this with multi-dimensional real-time data analysis, it can significantly reduce accounting errors caused by individual equipment differences and varying usage habits, providing high-precision basic data support for subsequent full-cycle integration.

[0038] Step 2: Obtain information on the disposal of discarded toner cartridges. Based on the carbon emission set of the toner replenishment cycle and the information on the disposal of discarded toner cartridges, perform carbon emission integration and closed-loop carbon offset accounting for the entire service life of the toner cartridges to generate a net carbon emission set for the entire service life of the toner cartridges.

[0039] The information regarding the disposal of discarded toner cartridges refers to data identifiers that characterize the final destination and treatment method of toner cartridges after their end of life. This data originates from user reports, feedback from recycling organizations, or RFID tag readings. This information indicates whether the toner cartridge enters a certified closed-loop recycling channel or is disposed of through informal dismantling or landfill. The integration of carbon emissions throughout the entire service life cycle refers to retrieving and aggregating the carbon emission sets corresponding to all historical toner replenishment cycles based on the unique identifier of the toner cartridge. This is then dynamically integrated using prior knowledge of the changes in cycle carbon emission intensity, thereby obtaining the cumulative total carbon emissions during the service life. The prior knowledge of the changes in cycle carbon emission intensity is an initial benchmark established based on historical data from the previous few replenishment cycles. It is used to identify and correct for trends in carbon emission intensity changes caused by equipment efficiency wear, core component aging, or changes in usage patterns, ensuring the accuracy of the cumulative total.

[0040] The closed-loop carbon offset calculation is based on the final treatment path indicated by the waste disposal information. It queries the carbon impact factor database of the pre-set disposal method to calculate the carbon emissions or carbon offset generated during the disposal stage. If the toner cartridge enters a professional closed-loop recycling channel, a negative carbon offset factor is used. This factor represents the carbon emissions from virgin material production avoided by the recycling of toner cartridge shell and component materials. The specific carbon offset is calculated by matching the standard weight of the toner cartridge with the material list. If the toner cartridge does not enter the formal channel, the corresponding positive carbon emission factor is used to calculate the greenhouse gas emissions generated during the informal treatment process.

[0041] For example, for a toner cartridge that has been in service for one year, the system aggregates carbon emission data from four toner refill cycles. Analysis reveals that as usage time increases, the efficiency of the heating components decreases, leading to increased energy consumption per page in later cycles. The system corrects for these later data based on this trend, resulting in an accurate cumulative total carbon emission during its service life. In the disposal phase, if the cartridge is sent to a certified recycling facility, the system uses a negative factor of -1.2 kg CO2e / kg to calculate the carbon offset; if it is discarded arbitrarily, a positive factor is used to calculate the emissions. Finally, the cumulative total during service life is algebraically summed with the carbon impact at the disposal phase (positive or negative).

[0042] This step represents a leap from the micro-cycle to the macro-cycle, encompassing not only the dynamic accumulation during the usage phase but also, for the first time, incorporating the circular economy benefits of the disposal phase into the accounting system. By distinguishing the differences in carbon impact between formal recycling and informal disposal, the environmental value of circular economy activities can be quantified, and the generated net carbon emission set for the entire service life of the toner cartridge truly reflects the complete environmental footprint of consumables from their inception to their end.

[0043] Step 3: Based on the net carbon emissions set of the entire service life of the toner cartridge, generate a visualized carbon footprint report and low-carbon management suggestions, and generate and output the carbon footprint report of the entire life cycle of the toner cartridge.

[0044] The toner cartridge's full lifecycle carbon footprint report is a comprehensive document that includes a breakdown of the carbon footprint throughout its lifecycle, key carbon emission intensity indicators, and comparisons with benchmarks of the same model. Its generation process involves structured data processing and rule engine reasoning. Visualization transforms the net carbon emissions set into intuitive charts, such as pie charts of carbon footprint composition, trend curves of carbon emission intensity over time, and bar charts comparing it with industry benchmarks, allowing users to easily identify major emission sources. Low-carbon management recommendations are targeted strategies automatically generated by the built-in rule engine, combining the composition and trend of cumulative carbon emissions during service life with the attributes of carbon impact during the disposal phase.

[0045] For example, if a report shows that a department's toner cartridges account for over 70% of its carbon emissions from electricity consumption, and this figure is increasing cycle by cycle, the rules engine will automatically generate a recommendation to prioritize replacing high-energy-consuming printers with next-generation energy-efficient models, and estimate the reduction in overall carbon emissions over the entire lifecycle. If the report shows that a large number of toner cartridges are not generating carbon offsets, the system will suggest optimizing the disposal process and choosing a formal closed-loop recycling channel. These recommendations, integrated with visualization charts, form a final report that can be directly used by users or management systems.

[0046] This step completes a closed loop from data accounting to decision support. By intuitively displaying the composition of carbon footprint and providing actionable optimization solutions, it effectively guides users to adjust their printing behavior, optimize equipment maintenance timing, and choose green recycling paths, thereby promoting the low-carbon transformation of office activities at the management level.

[0047] This application constructs a complete carbon footprint tracking and traceability system through the synergistic effect of the aforementioned technical features. By acquiring dynamic usage datasets within a single toner replenishment cycle and performing three parallel analyses, it achieves precise micro-level quantification of carbon emissions during the consumable usage phase, overcoming the coarse granularity of traditional static estimations. Based on this, prior knowledge of cyclical carbon emission intensity changes is introduced to dynamically integrate multi-cycle data, and closed-loop carbon offset accounting is performed in conjunction with waste disposal information. This not only corrects data biases caused by equipment aging but also incorporates the carbon offset benefits of the recycling process into the calculation, addressing the issue of neglecting the value of the circular economy. Finally, based on the generated net carbon emission set of the entire toner cartridge service life, a visual report is generated, along with low-carbon management recommendations, transforming complex accounting data into user-understandable decision-making support. This mechanism, from micro-level data collection to macro-level full-cycle integration and then to end-point decision feedback, significantly improves the accuracy, dynamism, and credibility of carbon emission accounting, providing solid data support for enterprises to achieve green office management and ESG performance improvement.

[0048] Example 2: In one embodiment, a process for generating a carbon emission set during a toner replenishment cycle, provided by this application, includes:

[0049] Step 1: Through the printing device interface and IoT sensing unit, collect the toner consumption change sequence, print job log sequence and direct energy consumption monitoring sequence of the toner cartridge in a single toner replenishment cycle to form a dynamic usage dataset;

[0050] The printer device interface refers to the standard protocol interface used by the printer for external communication, such as the SNMP protocol interface or the manufacturer's proprietary API interface. Its function is to read the printer's internal counter and status register data in real time. The IoT sensing unit refers to an external or built-in intelligent sensing device in the printer's power circuit, such as a smart socket or embedded current transformer. Its function is to monitor the real-time power consumption of the entire printer system independently of the printer system. The dynamic usage dataset is obtained by synchronously collecting data from the aforementioned interface and units and aligning it with timestamps. Specifically, it includes a toner consumption change sequence reflecting the toner remaining amount over time, a print job log sequence recording the attributes of each print job (such as page number, duplex setting, document type), and a direct energy consumption monitoring sequence recorded at the second or minute level. For example, when the toner cartridge is in a replenishment cycle, the IoT sensing unit collects the printer's instantaneous power every 10 seconds, forming a time-series data including peak printing power, low standby power, and low sleep power. Simultaneously, the printer device interface synchronously captures detailed logs of all jobs within that time period, such as Job A: 50 pages, duplex, draft mode. This automated method of collecting multi-source heterogeneous data can eliminate errors caused by manual transcription, ensuring the authenticity and granularity of the basic data for subsequent accounting.

[0051] Step 2: Based on the dynamically used dataset, perform toner consumption analysis, print job carbon emission analysis and direct electricity carbon emission analysis in parallel to obtain the carbon emission components of toner consumption, print job carbon emission components and electricity consumption carbon emission components, respectively.

[0052] Parallel execution refers to the system launching three independent computation threads or processing modules after receiving a complete dynamic usage dataset. These threads perform decoupled calculations on toner, paper operations, and electricity, respectively, without blocking each other. The carbon emission component of toner consumption is calculated by analyzing the toner consumption change sequence and combining it with the implicit carbon emission factor of toner. It characterizes the implicit carbon emissions generated by the toner material itself during production and transportation. The carbon emission component of printing operations is calculated by parsing the printing operation log sequence, identifying low-carbon printing behaviors (such as duplex printing), and combining it with the carbon emission coefficient corresponding to the paper type. It characterizes the indirect carbon emissions from paper consumption and printing processes. The carbon emission component of electricity consumption is calculated based on the direct energy consumption monitoring sequence, statistically analyzing the total electricity consumption and matching it with the regional power grid emission factor. It characterizes the carbon dioxide emissions corresponding to the electrical energy directly consumed by the equipment during operation. For example, the system can launch three analysis processes simultaneously: Process A calculates the toner consumption of 100g in this cycle based on toner level sensor data, multiplying it by a coefficient to obtain Component 1; Process B calculates the number of double-sided printed pages converted to standard pages, multiplying it by a paper coefficient to obtain Component 2; Process C integrates the power curve to obtain the total power consumption of 15kWh, multiplying it by a grid factor to obtain Component 3. This parallel analysis architecture not only significantly reduces data processing latency but also eliminates the need to refactor the entire process for algorithm optimization in any dimension (such as updating the paper library coefficient), improving the system's maintainability and scalability.

[0053] Step 3: Sum the carbon emission components of toner consumption, printing operations, and electricity consumption to generate a carbon emission set for the toner replenishment cycle that includes the total cycle carbon emission and its components.

[0054] The summation refers to the algebraic addition of the three independently calculated carbon emission components. The carbon emission set for the toner replenishment cycle is a structured data object that not only contains the total carbon emission value for the cycle after summation but also retains the specific values ​​and proportions of the three components for subsequent trend analysis and source tracing. This step aims to integrate dispersed micro-emission sources into a macro-level cycle evaluation indicator, thereby providing a standardized input unit for cumulative accounting throughout the entire life cycle. For example, if the toner component is 0.23 kg CO2e, the printing component is 4.55 kg CO2e, and the electricity component is 10.5 kg CO2e in a certain cycle, then the summation generates a total carbon emission of 15.28 kg CO2e, stored in JSON or database record format, and marked as the carbon emission set for the Nth replenishment cycle. Specific fields include total_emission, toner_component, paper_component, and power_component. The resulting dataset not only meets the requirements for total emission control, but also supports targeted source tracing and diagnosis of high-emission processes (such as electricity or paper).

[0055] This application achieves a precise mapping from the physical world to the digital space through the collaborative deployment of printing device interfaces and IoT sensing units, ensuring the real-time and completeness of dynamically used datasets. Building upon this, a parallel processing mechanism is used to decompose the complex carbon footprint calculation into three orthogonal dimensions: toner, operation, and electricity. This not only clarifies the contribution boundaries of different emission sources but also enhances the system's robustness through modular design. Finally, by summing the components to generate a carbon emission set for the toner replenishment cycle with detailed structure, a solid data foundation is laid for subsequent dynamic correction using prior knowledge of cycle intensity changes and for calculating net carbon emissions throughout the entire life cycle. This effectively solves the technical problems of coarse data granularity and untraceable data sources in traditional methods.

[0056] Example 3: In an optional embodiment, a toner consumption analysis method provided for this application includes the following steps:

[0057] Step 1: Based on the print job log sequence, identify the task type of each print job, and determine the baseline toner consumption coefficient for each task type according to the preset task type-typical toner coverage correspondence.

[0058] The print job log sequence records detailed metadata of all print commands executed by the toner cartridge within a single toner refill cycle. Task type can refer to a category based on the content characteristics of the printed document, such as plain text, mixed text and graphics, or high-coverage image type. The system automatically identifies the type of the current task by parsing document attribute tags or content fingerprints in the log. The preset task type-typical toner coverage correspondence is a mapping table pre-stored in the database, establishing the relationship between different task types and their average toner coverage under standard printing conditions. The baseline toner consumption factor refers to the theoretical amount of toner consumed per unit page under this task type before considering specific quality mode corrections. For example, for a task identified as plain text, the system queries the correspondence table to determine its typical coverage rate is 5%, thus setting a lower baseline toner consumption factor; while for mixed text and graphics tasks, a higher coverage rate and corresponding baseline factor are matched. This classification and identification mechanism can initially distinguish the differences in toner consumption caused by different content densities, laying the foundation for subsequent refined calculations.

[0059] Step 2: Combine the print quality mode settings to dynamically correct the baseline toner consumption coefficient, generating a task-level dynamic toner consumption coefficient that reflects the actual printing characteristics.

[0060] The print quality mode setting refers to the output precision option selected by the user when initiating a print job, including but not limited to draft mode, standard mode, high quality mode, or economy mode. Dynamic correction refers to the process of weighting and adjusting the aforementioned baseline coefficient based on the degree of influence of the selected mode on the amount of toner applied. Specifically, if the system detects that the user has selected draft mode, it will call a preset negative correction factor (e.g., 0.7) to lower the baseline coefficient to reflect the toner saving effect; if high quality mode is selected, it will call a positive correction factor (e.g., 1.2) to reflect excessive toner consumption. The task-level dynamic toner consumption coefficient, after the above corrections, is a parameter that accurately reflects the toner consumption level per unit page under actual operating conditions for that specific task. For example, even if two tasks are both mixed text and graphics, if the former uses draft mode and the latter uses high quality mode, the generated task-level dynamic toner consumption coefficients will be significantly different. By introducing dynamic correction of the quality mode, this step effectively captures the direct impact of user behavior on carbon footprint, avoiding estimation bias caused by ignoring print settings.

[0061] Step 3: Based on the task-level dynamic toner consumption coefficient and the number of pages printed for the corresponding task, calculate and accumulate the corrected toner consumption for each task to obtain the actual physical consumption.

[0062] The process involves several key parameters: Task-by-task calculation refers to iterating through each independent print job within a replenishment cycle, multiplying its corresponding page count by the task-specific dynamic toner consumption coefficient, and obtaining an estimated toner consumption value for that single task. Cumulative calculation involves algebraically summing the estimated toner consumption values ​​for all single tasks within the cycle. Corrected toner consumption is a comprehensive indicator that represents the actual physical toner consumption of the drum unit within the current replenishment cycle, influenced by both task type distribution and user quality mode selection. For example, in a cycle containing a 100-page draft mode plain text task and a 50-page high-quality mode image task, the system calculates the consumption of both separately and sums them to obtain the corrected toner consumption value. This coefficient not only reflects the total print volume but also incorporates the complexity of the printed content and the user's energy-saving behavior, thus representing a more accurate representation of the true resource consumption level than simple page count statistics.

[0063] Step 4: By querying the database of implicit carbon emission factors of the pre-set toner through the batch identifier of the current toner supply, obtain the corresponding implicit carbon emission coefficient of the toner;

[0064] The batch identifier of the currently replenished toner is a unique code identifying the production batch of the toner raw materials being loaded into the drum. This information can be obtained by scanning a barcode or by entering it into the management system during toner replacement. A pre-configured database of implied carbon emission factors for toner stores lifecycle carbon emission data for different brands, models, and production batches, covering greenhouse gas emission intensity throughout the entire process from raw material extraction, chemical synthesis, manufacturing, to transportation and distribution. The implied carbon emission factor of toner refers to the carbon dioxide equivalent emission value per unit mass (e.g., per kilogram) of a specific batch of toner. Since different batches of toner may originate from different production lines or employ different environmentally friendly processes, their implied carbon emission factors vary. For example, a batch of toner produced using recycled plastic packaging or green electricity may have an implied carbon emission factor lower than the industry average. By accurately matching the batch identifier, the system can obtain the emission factor that best matches the current physical attributes, achieving carbon footprint traceability at the supply chain level.

[0065] Step 5: Multiply the corrected toner consumption by the toner implicit carbon emission factor to calculate the carbon emission component of toner consumption.

[0066] The multiplication operation is a key mathematical process for converting physical consumption into environmental impact. The carbon emission component of toner consumption is the final quantification result, representing the total direct carbon emissions generated solely by the consumption of toner material itself and its upstream production processes within the current toner replenishment cycle. This component isolates the impact of electricity and paper consumption, focusing solely on the carbon footprint of consumable materials. For example, if the calculated corrected toner consumption is 0.1 kg (i.e., 100 grams of toner consumed in this cycle), and the found implicit carbon emission coefficient for toner is 2.3 kg CO2e / kg, then multiplying the two yields a carbon emission component of 0.23 kg CO2e from toner consumption. This calculation result directly serves as one of the core inputs for generating the carbon emission set for subsequent toner replenishment cycles, ensuring high accuracy and traceability of carbon footprint accounting at the material level.

[0067] This application achieves refined and dynamic accounting of carbon emissions from toner consumption through the synergistic effect of the above steps. First, by identifying task types and combining them with print quality mode settings, the system upgrades the original static average consumption model to a task-level dynamic model reflecting actual printing characteristics, significantly improving the accuracy of physical consumption calculations. Second, by introducing a linkage mechanism between the batch identifier of the current toner replenishment and a pre-set database, the acquisition of implicit carbon emission coefficients is refined from industry-standard values ​​to specific batch values, enhancing data traceability. Finally, the corrected toner consumption, representing actual physical consumption, is multiplied by the accurate implicit carbon emission coefficient of toner, generating a highly reliable carbon emission component from toner consumption. This end-to-end processing approach, from content recognition to behavior correction to batch traceability, effectively solves the calculation bias problem caused by neglecting task differences and quality modes in traditional methods, providing solid data support for the full lifecycle carbon management of office consumables.

[0068] Example 4: In an optional implementation, a carbon emission analysis method for printing jobs provided in this application embodiment includes:

[0069] Step 1: Analyze the print job log sequence to identify the document type and preset print quality mode for each print job;

[0070] This step aims to extract key characteristic parameters that determine carbon emissions from the raw data. The print job log sequence refers to a data set automatically recorded by the printing device during operation, containing information such as task ID, submission time, document name, number of pages, duplex / single-sided settings, color mode, and resolution. The executing entity reads the log records one by one by calling the printing device's SNMP interface or parsing the spool file. Document type can refer to categories based on file extensions or content characteristics, such as text (TXT / PDF), image (JPG / TIFF), or mixed types. Different document types have different toner coverage and processing energy consumption during rendering. Preset print quality mode refers to the output standard set by the user on the driver, including draft mode, standard mode, high-quality mode, and configurations such as duplex printing and grayscale printing. For example, if the system identifies a task log marked as Duplex=True and Quality=Draft, it determines that the task is in duplex draft mode. By accurately identifying document type and quality mode, an accurate input benchmark can be provided for subsequent differentiated carbon emission calculations, avoiding calculation bias caused by using a uniform average.

[0071] Step 2: Based on the preset mode-energy consumption-paper consumption correlation rules, determine whether the current printing task is in low-carbon printing mode. If it is, multiply the number of pages printed in low-carbon printing mode by the page carbon emission conversion factor.

[0072] The preset mode-energy consumption-paper consumption association rules are mapping tables or logical algorithms stored locally in the system, used to define the quantitative relationship between different printing settings and resource consumption. Low-carbon printing modes can refer to specific combinations that can significantly reduce paper or energy consumption. Typical scenarios include duplex printing (reducing paper usage by 50%), multi-page printing (such as 2-in-1, 4-in-1), and draft mode (reducing fixing temperature to reduce energy consumption). The page carbon emission conversion factor is a dimensionless value less than 1, representing the relative carbon emission intensity per unit page in this low-carbon mode compared to the standard single-sided printing mode. Specifically, if the current task is determined to be duplex printing, the system calls the corresponding conversion factor in the association rules (e.g., 0.55, where 0.5 represents half the paper and 0.05 represents the slight additional energy consumption of the duplex paper feed mechanism); if it is draft mode, another set of factors is called (e.g., 0.8). For example, for a 100-page double-sided printing task, the system identifies it as a low-carbon mode and multiplies it by a conversion factor of 0.55, resulting in an equivalent physical consumption base of 55 pages. This step, by introducing a dynamic conversion mechanism, quantifies the user's green printing behavior into specific numerical reductions, achieving positive incentives and accurate accounting for environmentally friendly behavior.

[0073] Step 3: Convert the number of printed pages, adjusted by the page carbon emission conversion factor, together with the number of printed pages in standard mode to the equivalent number of standard printed pages;

[0074] The equivalent standard print page count is a unified carbon emission accounting benchmark unit established to eliminate the differences in measurement units caused by different printing modes. The execution logic of this step involves algebraically adding all the adjusted low-carbon mode page counts to the unadjusted standard mode (i.e., single-sided, standard quality) print page counts. The standard mode print page count has a default conversion factor of 1, so its value is directly included in the total. Through this conversion, regardless of the user's complex printing combinations (such as some duplex, some color, some draft), the final result is a comparable standard page count. For example, if a job includes 80 standard single-sided prints and 100 duplex prints (equivalent to 55 pages after conversion), the final equivalent standard print page count is 135 pages. This approach ensures the fairness and consistency of carbon emission calculations, allowing subsequent paper type-based emission factors to be directly applied without needing to build a large emission factor database for each printing mode.

[0075] Step 4: Based on the type and specifications of the paper used, query the pre-set basic carbon emission coefficient database to obtain the corresponding paper carbon emission coefficient;

[0076] The paper type and specifications include material (e.g., recycled paper, pure wood pulp paper), basis weight (e.g., 70g / m², 80g / m²), and size (e.g., A4, A3). A pre-built database of basic carbon emission coefficients for paper stores lifecycle carbon emission data for various types of paper, from raw material acquisition, pulping, papermaking to transportation, typically in kg CO2e / sheet or kg CO2e / kg. The executing entity performs index matching in the database based on the identified paper attributes. For example, if 70g recycled paper is detected, the system retrieves its carbon emission coefficient as 0.004 kg CO2e / sheet; if it is 80g pure wood pulp paper, the coefficient might be 0.006 kg CO2e / sheet. This coefficient acquisition process represents a shift from general estimation to refined traceability, reflecting the actual differences in the carbon footprint contribution of different paper supply chains, and providing core parameter support for accurately calculating the implicit carbon emissions of printing operations.

[0077] Step 5: Multiply the equivalent standard number of printed pages by the paper carbon emission factor to calculate the carbon emission component of the printing job that incorporates the user's low-carbon printing behavior.

[0078] This step is the final calculation stage in the carbon emission analysis of a printing job, aiming to output quantified carbon emission results. By multiplying the equivalent standard number of printed pages obtained above with the paper carbon emission coefficient acquired above, the paper-related carbon emissions generated by the printing task are directly obtained, i.e., the carbon emission component of the printing job. The calculation formula can be expressed as: ,in Carbon emissions from printing jobs For equivalent standard printed pages, This represents the carbon emission factor for paper. For example, for the aforementioned 135 equivalent standard pages, if recycled paper is used (factor 0.004), the carbon emission component is 0.54 kg CO2e; if duplex printing optimization is not performed (i.e., 180 standard pages), the emission will be 0.72 kg CO2e. This significantly improves the granularity of carbon footprint accounting, not only quantifying the carbon properties of the paper itself, but also explicitly reflecting the emission reduction benefits brought about by the user's low-carbon operations through the equivalent page number mechanism, so that the generated carbon emission set of the toner replenishment cycle can truly reflect the environmental impact under actual use scenarios.

[0079] This application achieves refined and equitable accounting of carbon emissions from printing jobs through the synergistic effect of the aforementioned steps. Specifically, by analyzing print job log sequences to identify document types and quality patterns, a data foundation is provided for differentiated calculations. Based on this, a preset mode-energy consumption-paper consumption correlation rule is used to determine low-carbon modes and apply a page-count carbon emission reduction factor, transforming abstract environmental behaviors into concrete numerical reductions. Furthermore, by constructing an equivalent standard printed page count concept, the measurement confusion caused by multi-mode mixed printing is eliminated, making carbon emissions comparable across different scenarios. Finally, by combining a precisely matched paper carbon emission factor, the carbon emission component of the printing job, incorporating user low-carbon behaviors, is calculated. This approach not only solves the technical problem of traditional methods failing to distinguish the contributions of energy-saving behaviors such as double-sided printing and draft mode due to the use of static averages, but also provides clear low-carbon guidance for users and managers by quantifying emission reduction effects, effectively incentivizing the development of green office habits and improving the accuracy and guiding value of full life-cycle carbon footprint tracking.

[0080] Example 5: In another optional embodiment, a direct electricity carbon emission analysis method is provided for the embodiments of this application. The method includes the following steps:

[0081] Step 1: Based on the direct energy consumption monitoring sequence, obtain the working status time sequence data of the printing equipment during the replenishment cycle, and analyze the total power consumption of the printing equipment to which the toner cartridge belongs during a single toner replenishment cycle;

[0082] The direct energy consumption monitoring sequence refers to a set of instantaneous power data continuously recorded at a preset sampling frequency (e.g., once per minute) through a smart metering module embedded in the printing equipment or an external IoT smart socket. This sequence originates from real-time monitoring of the printing equipment to which the toner cartridge belongs during a single toner replenishment cycle. Its purpose is to reconstruct the actual energy consumption status of the equipment at different points in time, providing the raw data foundation for subsequent decomposition calculations. Specifically, the system reads the timestamps and power values ​​in the sequence, and obtains the total power consumption value within that cycle through integration over the time dimension. For example, if the sampling interval is 1 minute, and the power is recorded as 200W at a certain moment and 50W at the next moment, the system fits these discrete points into a continuous curve and calculates the area under the curve to obtain the total power consumption. This integration calculation method based on time-series data avoids the metering errors caused by ignoring equipment start-up and shutdown fluctuations in traditional estimation methods, ensuring the accuracy of the total power consumption value.

[0083] Step 2: The working status timing data decomposes the total power consumption value into the power consumption of printing working status, standby power consumption, and sleep status.

[0084] The energy consumption in the printing operation state refers to the electrical energy consumed by the device when performing active printing tasks such as paper feeding, laser imaging, and fixing heating; the standby energy consumption refers to the maintenance energy consumption when the device is powered on and ready but not performing a printing task; and the sleep state energy consumption refers to the trace energy consumption when the device enters a low-power energy-saving mode. These three states of energy consumption are determined by analyzing the power threshold ranges in the time-series data of the operating states. Specifically, the system has a pre-set power characteristic library for each printer model. When the monitored instantaneous power is higher than the first threshold (e.g., 300W), it is determined to be in the printing operation state; when it is between the second and first thresholds (e.g., 10W-300W), it is determined to be in standby mode; and when it is lower than the second threshold (e.g., <10W), it is determined to be in sleep mode. The system divides the total energy consumption value into three independent time-segment energy consumption components according to the above determination results and then sums them up. For example, within a replenishment cycle, the system identifies a cumulative printing time of 5 hours, an average power of 400W, and a corresponding energy consumption of 2kWh; a cumulative standby time of 100 hours, an average power of 15W, and a corresponding energy consumption of 1.5kWh; and a cumulative sleep time of 600 hours, an average power of 2W, and a corresponding energy consumption of 1.2kWh. This decomposition mechanism clearly quantifies energy waste during non-production operations, providing data support for identifying high standby power consumption devices or optimizing sleep strategies, demonstrating a refined understanding of device operation details.

[0085] Step 3: Match the corresponding regional power grid carbon emission coefficient based on the printing equipment's registration location information;

[0086] The printing equipment registration location information refers to the physical deployment location of the equipment entered by the user during equipment initialization or management system, specifically including the country, province, or specific power grid dispatch area identifier. The regional power grid carbon emission coefficient refers to the average factor of carbon dioxide emissions generated per unit of electricity within a specific power grid area. This coefficient is derived from an annual power grid emission factor database published by an authoritative institution, reflecting the differences in power structure (such as the proportion of thermal power, hydropower, and wind power) in different regions. This coefficient is determined by retrieving a matching value from a pre-set mapping table based on the geographic code of the registration location information. For example, if the equipment is registered in a northern power grid region, the matched carbon emission coefficient might be 0.78 kg CO2e / kWh; if the registration location is in a southern power grid region with abundant hydropower, the matched coefficient might be 0.45 kg CO2e / kWh. By introducing dynamic matching at the regional level, the accounting bias caused by differences in power grid cleanliness can be eliminated, ensuring spatial adaptability and fairness in the carbon footprint assessment results of the same model of equipment used in different regions.

[0087] Step 4: Multiply the total power consumption value by the regional power grid carbon emission coefficient to calculate the direct carbon dioxide emission equivalent corresponding to the power consumed by the printing equipment, which is used as the carbon emission component of power consumption.

[0088] Direct CO2 emission equivalent refers to the numerical value of converting electricity consumption into standard CO2 emissions, used to uniformly measure the carbon impact of different energy forms. This component is generated through a simple multiplication operation: Electricity consumption carbon emission component = Total electricity consumption × Regional power grid carbon emission coefficient. This calculation process integrates the spatiotemporally coupled data (total energy consumption in time and power grid factor in space) into a final quantitative indicator. For example, if a device consumes 100 kWh of electricity in the northern power grid region, its electricity consumption carbon emission component is 100 × 0.78 = 78 kg CO2e; if it consumes the same 100 kWh in the southwest hydropower-rich region, the component is 100 × 0.45 = 45 kg CO2e. The electricity consumption carbon emission component output in this step will be used as one of the core parameters and fed into the upper-level process to be added with the toner consumption carbon emission component and the printing job carbon emission component, together forming a complete carbon emission set for the toner replenishment cycle. This achieves a closed loop from micro-level energy consumption monitoring to macro-level carbon emission quantification, significantly improving the precision and reliability of carbon footprint accounting in the power sector.

[0089] This application constructs a spatiotemporally coupled electricity carbon emission accounting mechanism through the synergistic effect of the aforementioned technical features. By acquiring time-series data of working states and decomposing the total electricity consumption value into energy consumption for printing, standby, and sleep states, it not only accurately captures the energy consumption differences of equipment under different operating modes but also effectively identifies hidden carbon emissions in non-working states. Furthermore, by combining the printing equipment's registration location information with the corresponding regional power grid carbon emission coefficient, the accounting dimension is further expanded from a single time domain to a spatial domain, eliminating assessment distortions caused by differences in regional power grid structures. Finally, the total electricity consumption value after state decomposition is multiplied by a regionally targeted carbon emission coefficient to calculate the electricity consumption carbon emission component, reflecting both the equipment's own energy efficiency level and the cleanliness of the external energy environment. This multi-dimensional accounting method, compared to the traditional extensive model of multiplying a fixed factor by the total electricity consumption, can more realistically restore the electricity carbon footprint of office consumables during use, providing high-precision data for carbon asset management and equipment energy efficiency optimization for cross-regional enterprises.

[0090] Example 6: In another example, a process for generating a net carbon emission set of a toner cartridge throughout its service life is provided in this application. The method further includes steps such as aggregating historical data based on the unique identifier of the toner cartridge, dynamically integrating prior knowledge, and calculating the carbon impact during the disposal stage.

[0091] Step 1: Based on the unique identifier of the toner cartridge, retrieve and aggregate the carbon emission sets corresponding to all historical toner replenishment cycles, introduce prior knowledge of the changes in cycle carbon emission intensity for dynamic integration, and obtain the total cumulative carbon emissions during service.

[0092] The unique identifier for a toner cartridge can be a globally unique code assigned to each individual physical toner cartridge unit, typically embedded in the cartridge chip or RFID tag. This code uniquely indexes all operational data of the consumable throughout its entire lifecycle; it serves as the logical link connecting discrete toner replenishment cycle data. The toner replenishment cycle carbon emission set is a structured data set generated based on the aforementioned steps, containing carbon emission components of toner, paper, and electricity within a single replenishment cycle. The retrieval and aggregation process uses database query commands, with the unique toner cartridge identifier as the key, to extract the carbon emission set sequence of all historical cycles experienced by the toner cartridge from its first use to the present moment. Prior knowledge of the periodic carbon emission intensity change can refer to a regular model derived from statistical analysis of historical operational data from a large amount of similar equipment, regarding the changes in carbon emissions per unit of printed pages due to mechanical wear, component aging, or changes in usage habits over time; this knowledge is used to correct errors caused by simple summation. Dynamic integration refers to using the aforementioned prior knowledge to perform weighted correction or trend fitting on the extracted periodic carbon emission data, rather than simple arithmetic addition, thereby eliminating calculation biases caused by changes in equipment status. For example, when a toner cartridge is in its later stages of service, the aging of its fuser assembly may lead to increased heating energy consumption. In this case, the system identifies a trend where the carbon emission intensity of that period is higher than the benchmark value based on prior knowledge, and normalizes and corrects the data for that period to ensure the accuracy of the cumulative total. Through this vertical aggregation based on unique identifiers and dynamic correction based on prior knowledge, it is possible to construct the cumulative total carbon emissions during the service life that reflects the actual evolution of the equipment's service status, providing a reliable data foundation for the usage phase of the life cycle assessment.

[0093] Step 2: Based on the final processing path indicated by the waste toner cartridge disposal information, query the carbon impact factor database of the pre-set disposal method, calculate the carbon emissions or carbon offsets generated during the disposal stage, and generate the carbon impact of the disposal stage.

[0094] The information on discarded toner cartridges refers to data fields that record the specific flow and treatment methods of toner cartridges after their end of life, including status indicators such as whether they entered formal recycling channels, were landfilled, incinerated, or illegally dismantled. This information is usually uploaded by recycling terminals or obtained through user declarations. The final treatment path is the specific physical treatment process determined based on the disposal information, directly determining the carbon environmental impact attributes of this stage. The pre-set disposal method carbon impact factor database is a database that stores carbon emission coefficients or carbon offset coefficients per unit weight or per unit component for different treatment methods. If the treatment path is professional closed-loop recycling, the database stores negative carbon offset factors, representing the carbon emissions from virgin material production avoided due to material recycling; if the treatment path is informal disposal, the database stores positive carbon emission factors, representing greenhouse gas emissions generated during the treatment process. The calculation process involves calling the corresponding coefficients from the factor database based on the determined final treatment path and performing multiplication operations in conjunction with the standard weight or material list of the toner cartridge. For example, if the toner cartridge enters a certified closed-loop recycling channel, the system uses a negative factor (e.g., -1.2 kg CO2e / kg) multiplied by the total weight of the cartridge's plastic and metal components to calculate the specific carbon offset generated by resource recycling. Conversely, if it ends up in a landfill, a positive factor is used to calculate the carbon emissions from gases such as methane. The resulting carbon impact at the waste stage is an algebraic value, with positive values ​​representing new emissions and negative values ​​representing carbon offset benefits, thus quantifying the environmental value of circular economy activities.

[0095] Step 3: Algebraically sum the total cumulative carbon emissions during service life with the carbon impact during the disposal phase to generate the net carbon emissions set for the entire service life of the toner cartridge.

[0096] The algebraic summation step involves combining the cumulative carbon emissions during the service life (usually positive) obtained from previous steps with the carbon impact during the disposal phase (which can be positive or negative) using mathematical addition rules. This calculation logic allows negative carbon offsets to directly reduce the cumulative emissions during the service life. The net carbon emission set for the entire service life of the toner cartridge is the final output data result, containing the net CO2 equivalent emissions and their composition details for the entire life cycle of the toner cartridge. This summation step not only achieves full-cycle coverage in terms of time but also logically unifies linear consumption and cyclical impact. For example, if a toner cartridge has a cumulative emission of 60.5 kg CO2e during the service life and a disposal phase carbon impact of -1.2 kg CO2e due to formal recycling, the net carbon emission set obtained after algebraic summation is 59.3 kg CO2e, accurately reflecting the actual environmental load of the consumable throughout its entire life cycle. This result provides core data support for subsequent carbon footprint report visualization and low-carbon management recommendations, ensuring the completeness and scientific validity of the assessment results.

[0097] This application achieves precise full-lifecycle tracking of the carbon footprint of office consumables through the synergistic effect of the aforementioned technical features. Specifically, by using the unique identifier of the toner cartridge, discrete toner replenishment cycle data is linked into a continuous time series, solving the problem of data fragmentation. Based on this, prior knowledge of cyclical carbon emission intensity changes is introduced to dynamically correct the data during the usage phase, overcoming the shortcomings of traditional static accumulation methods that ignore equipment aging factors, and significantly improving the accuracy of the cumulative total carbon emissions during service life. Simultaneously, by combining waste disposal information with a carbon impact factor library of pre-installed disposal methods, the environmental benefits of recycling are quantified into calculable negative carbon offsets, and this is incorporated into the overall ledger through an algebraic summation mechanism, breaking the limitation of traditional accounting that only focuses on positive emissions. This technical solution, from micro-cycle dynamic tracking to macro-cycle closed-loop integration, not only accurately recreates the evolution trajectory of the carbon footprint of consumables but also provides reliable data evidence for incentivizing green recycling behavior and optimizing equipment management strategies.

[0098] Example 7: In another embodiment, a method for dynamically integrating prior knowledge of periodic carbon emission intensity changes is provided for the present application. The method includes the following steps:

[0099] Step 1: Using the unique identifier of the toner cartridge as an index, extract the carbon emission sets of several toner replenishment cycles arranged in chronological order;

[0100] The unique identifier for a toner cartridge refers to a globally unique identification code assigned to each individual toner cartridge unit, typically embedded in the cartridge chip or RFID tag, used to locate a specific physical entity throughout its service life. The carbon emission set for each toner replenishment cycle is a data structure generated based on the aforementioned steps, recording various carbon emission components during a single toner replenishment. The extraction process involves querying a cloud database or local storage system, using this unique identifier as the search key, to retrieve all completed replenishment cycle data records for that toner cartridge since its initial use, and then sorting them in ascending order according to the timestamp of each cycle to form a time-series data sequence. For example, for a toner cartridge identified as HP-110A-SN8892, the system automatically extracts the carbon emission sets for five toner replenishment cycles generated between January 2023 and January 2024, and sorts them into sets according to their occurrence time. This time-series extraction method based on unique identifiers ensures that subsequent analysis strictly targets the evolution trajectory of a single device, avoiding data contamination between different devices and providing an accurate data foundation for establishing individualized benchmarks.

[0101] Step 2: Based on historical data from the previous refill cycles, establish an initial cycle carbon emission intensity benchmark for this toner cartridge, analyze the total cycle carbon emission and total number of printed pages in subsequent refill cycles, and calculate the actual cycle carbon emission intensity.

[0102] The initial cycle carbon emission intensity benchmark can refer to the average carbon emission level of the toner cartridge per printing task during the initial or stable period of its service life. Its source is the selection of the first... The actual cycle carbon emission intensity is obtained by statistically averaging the data from the first three replenishment cycles (e.g., the first three). The actual cycle carbon emission intensity refers to the carbon emissions per unit of printed pages in any subsequent replenishment cycle, calculated as: Actual Cycle Carbon Emission Intensity = Total Carbon Emissions in that Cycle / Total Number of Printed Pages in that Cycle. Specifically, the system first reads the sum of the total carbon emissions from the previous few cycles and the sum of the total number of printed pages, then divides the two to obtain the baseline value. Subsequently, for each subsequent replenishment cycle, the total carbon emissions and total number of printed pages for that cycle are read, and a division operation is performed to obtain the actual intensity value for that cycle. For example, if the average carbon emission intensity for the first three cycles is 0.015 kg CO2e / page, this is set as the initial baseline. In the fourth cycle, if the total carbon emission is 16.0 kg CO2e and the total number of printed pages is 800, the actual intensity for that cycle is calculated to be 0.020 kg CO2e / page. By constructing a comparison mechanism between the initial baseline and the real-time calculated actual intensity, the degree of deviation of the equipment's energy efficiency performance in the current state from the initial state can be quantified.

[0103] Step 3: Based on prior knowledge of the changes in cyclic carbon emission intensity, compare the actual cyclic carbon emission intensity of subsequent replenishment cycles with the baseline of the initial cyclic carbon emission intensity to identify the trend of carbon emission intensity changes caused by equipment efficiency wear and tear and changes in usage patterns.

[0104] The prior knowledge of cyclical carbon emission intensity changes can refer to a pre-built model in the system regarding the changing energy consumption characteristics of office consumables over time. This includes physical laws such as increased standby power consumption due to wear and tear of equipment mechanical parts and reduced heating efficiency due to aging of the fuser assembly, as well as behavioral patterns such as users shifting from single-sided to double-sided printing. The identification process involves converting the calculated actual intensity values... Compared with the initial benchmark Perform difference or ratio analysis. If consistently higher And if it shows an upward trend, then it is determined that there is a positive growth trend due to equipment efficiency wear and tear; if A sudden drop in carbon emissions may be identified as a behavioral change, such as the user activating a low-carbon printing mode. For example, if the actual intensity in three consecutive subsequent cycles is 5%, 8%, and 12% higher than the baseline, respectively, the system, based on prior knowledge, determines that the printer to which the toner cartridge belongs has a significant mechanical wear trend, leading to an increase in carbon emission cost per page. By introducing prior knowledge to assist in comparative analysis, it is possible to effectively distinguish between random fluctuations and systematic trends, and accurately pinpoint the root cause of changes in carbon emissions.

[0105] Step 4: Based on the trend of carbon emission intensity changes, the carbon emission data for subsequent periods are trend-corrected, and then the corrected carbon emissions for all periods are summed to obtain the total cumulative carbon emissions during the service period that reflects the evolution of the equipment's service status.

[0106] Trend correction refers to the process of correcting raw carbon emission data based on identified trends using fitting algorithms or weighted coefficients. This aims to eliminate biases caused by measurement lags or unmodeled factors, restoring the true cumulative emission level. Specifically, if a linearly increasing wear trend is identified, the system can construct a linear regression model to predict theoretical emission values ​​and approximate measured values ​​to theoretical values ​​or directly use model predictions to replace abnormal fluctuations. If the system identifies a stable state, the raw data remains unchanged. After correction, the system algebraically sums the raw data from the initial period with the corrected data from all subsequent periods to generate the final cumulative carbon emission total during the service life. For example, for the toner cartridge with identified wear trends, the system applies correction coefficients of 1.05 and 1.10 to the raw carbon emission data for periods 4 and 5, respectively, and then adds the corrected values ​​to the raw values ​​from the previous three periods to obtain a cumulative total that better reflects the true environmental impact throughout the equipment's life cycle. This step significantly improves the accuracy of long-term carbon footprint accounting by upgrading static accumulation to dynamic correction accumulation, avoiding the problem of underestimating carbon emissions due to ignoring equipment aging, and providing highly credible data support for subsequent carbon offset accounting and low-carbon management recommendations.

[0107] This application establishes an individualized initial carbon emission intensity benchmark by extracting time-series data using the unique identifier of the toner cartridge as an index. Based on this benchmark, and combined with prior knowledge of periodic carbon emission intensity changes, it dynamically identifies the intensity change trend caused by equipment efficiency wear or changes in usage patterns. Through this trend identification and data correction mechanism, the system can make targeted adjustments to the carbon emission data for subsequent periods, and then accumulate the corrected data from all periods to obtain the total cumulative carbon emissions during the service life that accurately reflects the evolution of the equipment's service status. This process not only overcomes the error accumulation problem caused by simple accumulation in traditional methods, but also achieves dynamic tracking and forward-looking assessment of the equipment's carbon footprint throughout its entire life cycle. This ensures that the calculation results truly reflect the additional environmental burden brought about by equipment aging, providing a scientific basis for enterprises to formulate equipment replacement strategies or optimize maintenance plans.

[0108] Example 8: In another optional embodiment, a method for calculating carbon emissions or carbon offsets generated during the waste phase is provided for the purposes of this application. The method includes:

[0109] Step 1: Based on the information on the disposal of waste toner cartridges, determine whether the final destination of the toner cartridges is a closed-loop recycling channel with qualified certification;

[0110] The waste disposal information for toner cartridges refers to a set of metadata recording the physical flow and processing status of toner cartridges after their end of life. This metadata originates from user-entered recycling vouchers, status codes returned by third-party logistics tracking systems, or automatic scanning and registration data from recycling stations. This information serves as input for a path identification mechanism, triggering subsequent differentiated carbon impact calculation logic. Specifically, the identification process involves matching the acquired waste disposal information with a pre-defined whitelist of certified closed-loop recycling channels. If a match is successful, it is determined to have entered a legitimate recycling channel; otherwise, it is determined to have undergone illegitimate processing. For example, if the system receives disposal information associated with a toner cartridge ID showing that it was transported to a recycling plant with ISO14001 certification and specific electronic waste processing qualifications, and the logistics trajectory is completely closed, the determination result is "yes." If the information shows that the toner cartridge was mixed into a general landfill or flowed to an unqualified individual dismantling workshop, the determination result is "no." This binary judgment based on authoritative channel information can accurately distinguish the environmental attributes of different disposal paths, laying the foundation for the subsequent application of positive and negative carbon factors.

[0111] Step 2: If so, retrieve the corresponding negative carbon offset factor from the professional closed-loop recycling library of disposal methods. The negative carbon offset factor represents the carbon emissions from the production of virgin materials that are avoided due to the recycling of toner cartridge shells and component materials.

[0112] The negative carbon offset factor refers to a negative carbon emission coefficient pre-stored in a database. It originates from the greenhouse gas emissions reduction achieved during the recycling of specific materials (such as ABS plastic, aluminum alloy, and magnetic roller iron powder) compared to the mining and smelting of virgin materials, calculated using a Life Cycle Assessment (LCA) method. This factor quantifies the positive environmental benefits of circular economy activities, i.e., the emissions avoided. Specifically, this factor can be dynamically set or updated based on the toner cartridge model, the proportion of its main constituent materials, and the current regional energy structure. For example, for a toner cartridge primarily composed of recycled plastic, if calculations show that recycling 1 kg of this type of plastic can avoid generating 2.5 kg of CO2 equivalent, then the corresponding negative carbon offset factor is set to -2.5 kg CO2e / kg. By invoking this negative factor, the system defines recycling as a contribution to carbon emission reduction, thus reflecting its offsetting effect on net carbon emissions throughout the entire life cycle in the mathematical model.

[0113] Step 3: Match the negative carbon offset factor with the standard weight of the toner cartridge and the bill of materials to calculate the specific carbon offset amount generated by the recycling of this toner cartridge, which is used as the carbon impact amount in the disposal stage.

[0114] The standard weight of the toner cartridge refers to the total mass of the cartridge model as stated at the manufacturer. The bill of materials (BOM) refers to structured data detailing the material types and corresponding masses of each component of the toner cartridge (such as the casing, photosensitive drum, magnetic roller, gears, etc.). The specific carbon offset is generated by weighted summing the masses of each component in the BOM with their corresponding negative carbon offset factors. This step transforms the abstract factors into specific carbon credit values ​​for a single toner cartridge instance. For example, if a toner cartridge contains 0.3 kg of recycled plastic (factor -2.5) and 0.1 kg of recycled aluminum (factor -8.0), the specific carbon offset is calculated as (0.3 × -2.5) + (0.1 × -8.0) = -1.55 kg CO2e. The resulting negative carbon impact during the waste phase is directly used as a deduction in the subsequent algebraic summation of net carbon emissions over the entire lifecycle, significantly reducing the final carbon footprint of the toner cartridge.

[0115] Step 4: If not, according to the actual treatment method in the waste disposal information of the toner cartridge, retrieve the corresponding positive carbon emission factor from the carbon impact factor library of the disposal method. The positive carbon emission factor represents the greenhouse gas emissions generated by the toner cartridge during the informal dismantling process.

[0116] The positive carbon emission factor refers to a predefined emission coefficient with a positive value, derived from the direct greenhouse gas emissions and secondary pollution equivalents generated under simulated informal disposal scenarios (such as open burning, acid leaching for metal extraction, and indiscriminate landfill). This factor quantifies the additional environmental burden caused by illegal or inefficient disposal practices. Specifically, the system retrieves matching positive parameters from the factor library based on the specific type of violation identified in the waste disposal information (such as incineration, landfill, or simple dismantling). For example, if a toner cartridge is detected being sent to an informal incineration site, the system uses a high emission factor for plastic incineration (such as 3.0 kg CO2e / kg). This factor includes not only the CO2 produced by combustion but also the equivalent carbon emissions of potent greenhouse gases such as methane emitted due to the lack of exhaust gas treatment. By introducing such positive factors, the environmental costs of informal disposal can be objectively revealed.

[0117] Step 5: Calculate the specific carbon emissions based on the positive carbon emission factor, which will serve as the carbon impact during the waste phase.

[0118] The specific carbon emissions are calculated by multiplying a positive carbon emission factor by the actual processed mass of the toner cartridge. This step is performed similarly to the one described above, but the result is positive, representing an additional carbon emission load. For example, if the toner cartridge is informally incinerated with an applicable factor of 3.0 kg CO2e / kg and a total mass of 0.5 kg, the calculated carbon emissions are 1.5 kg CO2e. This positive carbon impact during the waste phase is added to the net carbon emissions set over the entire cycle, leading to an increase in the final carbon footprint. Through this two-way accounting mechanism, the system can accurately reflect the final impact of different waste choices on the carbon footprint: formal recycling produces a negative value (offset), while informal treatment produces a positive value (increment).

[0119] This application achieves refined modeling of the carbon impact during the disposal phase through the aforementioned steps. By determining whether the toner cartridge ultimately enters a certified closed-loop recycling channel, the system can automatically switch the calculation logic. Based on this, if it is a formal recycling, a negative carbon offset factor is invoked and matched with the standard weight of the toner cartridge and the material list to calculate, thereby quantifying the carbon emissions from virgin material production avoided by material recycling and forming a specific carbon offset amount. If not, a positive carbon emission factor is invoked according to the actual processing method to calculate the greenhouse gas emissions during informal dismantling. With this differentiated factor invocation and calculation mechanism, not only is the problem that existing technologies cannot distinguish the environmental consequences of formal and informal recycling solved, but the concept of carbon offset is also systematically applied to the office consumables scenario. This provides quantifiable data support for incentivizing companies to choose green recycling channels, while revealing the environmental costs of illegal disposal and promoting the promotion of compliant disposal practices.

[0120] Example 9: In another optional embodiment, a process for generating a toner cartridge's full lifecycle carbon footprint report is provided for embodiments of this application. The method includes:

[0121] Step 1: Based on the net carbon emissions set of the entire service life of the toner cartridge, perform structured data processing to generate a visual chart that includes the decomposition of the carbon footprint throughout the entire service life, key carbon emission intensity indicators, and comparison results with the benchmark of the same model.

[0122] The toner cartridge's net carbon emissions over its entire service life are the final data set obtained after multi-cycle dynamic integration and carbon offset accounting during the disposal phase. It contains precise carbon emission values ​​for the entire process from initial use to final disposal. Structured data processing refers to the process of converting unstructured or semi-structured raw emission data into a standard data format with clear hierarchical relationships and logical connections, aiming to provide standardized data input for subsequent visualization. The full-cycle carbon footprint decomposition breaks down the total net carbon emissions according to their source dimension, specifically including three main components: toner-induced carbon emissions, paper emissions from printing operations, and direct electricity emissions. This is visually displayed using pie charts or stacked bar charts to visually represent the proportion of each component in the total emissions. Key carbon emission intensity indicators can refer to normalized indicators such as carbon emissions per unit of printed pages or carbon emissions per unit of time, used to eliminate the impact of differences in print volume, thereby objectively evaluating the toner cartridge's energy efficiency level. The comparison with the benchmark of the same model compares the current toner cartridge's actual carbon emission intensity with the industry average benchmark value or historical best value of the same model of toner cartridge in the database, calculating the percentage deviation. For example, if a toner cartridge has a net carbon emission of 60.5 kg CO2e over its entire lifecycle, with 70% of that emission being electricity, the system compares it to the average electricity consumption of 65% for the same model HP 110A toner cartridge, generating a comparison label that is 5% higher than the benchmark. This step aims to transform abstract numerical values ​​into intuitive graphical language, helping users quickly identify the main sources of carbon emissions and the energy efficiency status of their equipment, providing data support for subsequent decision-making.

[0123] Step 2: Combining the composition and trend of the cumulative total carbon emissions during service life, as well as the attributes of the carbon impact during the disposal phase, the built-in rule engine automatically generates personalized low-carbon management suggestions for the usage mode, maintenance timing, and disposal options of this toner cartridge.

[0124] The composition of the cumulative total carbon emissions during service life can refer to the proportional relationship of the various emission components decomposed above, while the trend can refer to the slope or fluctuation of emission intensity over time, derived from the analysis of prior knowledge of cyclical carbon emission intensity changes. The attribute of the carbon impact during the disposal phase can refer to whether the value is positive (representing additional emissions from informal processing) or negative (representing carbon offset from closed-loop recycling). This attribute directly reflects the environmental benefits of end-of-life disposal behavior. The built-in rule engine is a logical judgment module with multiple pre-set condition-action mapping relationships, used to automatically match corresponding management strategies based on the characteristics of the input data. Suggestions for usage patterns are generated when the carbon emission component of printing jobs is too high and a large number of single-sided high-quality printing tasks are identified. For example, it is recommended to enable duplex printing mode and switch to draft quality to reduce paper and toner consumption. Suggestions for maintenance timing are generated when a significant upward trend in carbon emission intensity due to equipment efficiency wear is detected. For example, when the power consumption per page increases by more than 10% for three consecutive replenishment cycles, it is recommended to check the aging of the fuser assembly or consider replacing it with an energy-efficient printer in advance. The recommendations for disposal options directly address the carbon impact of the disposal phase. If a closed-loop recycling channel is not detected, a prompt is generated suggesting that users choose a certified recycling channel to offset approximately 1.2 kg of CO2e. By analyzing the composition and trend of cumulative carbon emissions during service life, high-emission stages can be accurately identified. Combined with the carbon impact attributes of the disposal phase, this effectively guides users' end-of-life disposal behavior. These two approaches, working in conjunction with the built-in rule engine, automate the transformation from data diagnostics to action guidelines, significantly lowering the barrier to low-carbon management for users.

[0125] Step 3: Integrate visual charts and personalized low-carbon management suggestions to generate and output a full lifecycle carbon footprint report for toner cartridges that can be directly used by users or management systems.

[0126] Integration refers to merging the generated visual charts and the generated text-based or list-based management suggestions according to a pre-defined report template to form a complete and logically clear document. The toner cartridge lifecycle carbon footprint report is the final deliverable, available in PDF, HTML, or JSON formats. It can be directly viewed by enterprise managers or transmitted to the enterprise's ESG management system or a third-party carbon verification platform via API. The report not only includes static historical emission data but also dynamically embeds improvement suggestions based on data analysis, forming a closed loop of status quo presentation, problem diagnosis, and solutions. For example, the report first displays a pie chart showing the total net carbon emissions and their breakdown over the toner cartridge's lifecycle, followed by a curve showing the energy consumption increase due to equipment aging, and prominently provides specific operational guidelines for replacing the equipment before the next refill cycle. This standardized output makes the complex carbon footprint tracking results actionable and traceable, meeting the application needs of various scenarios such as internal enterprise reporting, green supply chain audits, and carbon trading declarations, effectively promoting the implementation of low-carbon management for office consumables.

[0127] This application achieves a complete closed loop from data collection to decision support through the synergistic effect of the aforementioned technical features. Based on the structured processing of the net carbon emissions from the entire service life of the toner cartridge, visual charts are generated, intuitively presenting the composition and differences of the carbon footprint and solving the problem of data being difficult to understand. Combining emission composition trends and waste disposal attributes, a rule engine generates personalized suggestions, addressing the lack of targeted guidance. Finally, the charts and suggestions are integrated and output as a standard report, truly transforming carbon footprint data into actionable management actions. This data-to-insight-to-action mechanism not only enhances the practical value of carbon footprint accounting but also directly incentivizes users to adopt low-carbon printing behaviors and formal recycling measures by quantifying carbon offsetting through recycling and identifying equipment aging trends, significantly improving the refinement level and environmental benefits of the entire lifecycle management of office consumables.

[0128] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0129] Figure 3 This application provides a schematic diagram of the structure of an office consumables carbon footprint tracking and traceability system covering the entire lifecycle, as shown in one embodiment. Figure 3As shown, the carbon footprint tracking and traceability system 300 for office consumables throughout their entire life cycle in this embodiment includes: a replenishment cycle module 301, a service life module 302, and a report generation module 303.

[0130] The replenishment cycle module 301 is used to obtain the dynamic usage dataset within a single toner replenishment cycle of the toner cartridge, and based on the dynamic usage dataset, toner consumption analysis, printing job carbon emission analysis and direct power carbon emission analysis are performed to generate a toner replenishment cycle carbon emission set.

[0131] Service life module 302 is used to acquire toner cartridge disposal information, and based on the carbon emission set of the toner replenishment cycle and the toner cartridge disposal information, to perform carbon emission integration and closed-loop carbon offset calculation for the entire service life, and generate a net carbon emission set for the entire service life of the toner cartridge.

[0132] The report generation module 303 is used to generate a carbon footprint report visualization and low-carbon management suggestions based on the net carbon emission set of the entire service life of the toner cartridge, and generate and output a carbon footprint report of the entire life cycle of the toner cartridge.

[0133] The system in this embodiment can be used to execute the methods of any of the above embodiments, and its implementation principle and technical effect are similar, so they will not be described again here.

Claims

1. A method for carbon footprint tracking and traceability of office consumables throughout their entire lifecycle, characterized in that, include: Obtain dynamic usage dataset within a single toner refill cycle of the toner cartridge; based on the dynamic usage dataset, perform toner consumption analysis, print job carbon emission analysis, and direct power carbon emission analysis to generate a carbon emission dataset for the toner refill cycle. Obtain toner cartridge disposal information, and based on the carbon emission set of the toner replenishment cycle and the toner cartridge disposal information, perform carbon emission integration and closed-loop carbon offset accounting for the entire service life to generate a net carbon emission set for the entire service life of the toner cartridge. Based on the net carbon emissions set of the entire service life of the toner cartridge, a carbon footprint report visualization and low-carbon management suggestions are generated, and a carbon footprint report of the entire life cycle of the toner cartridge is generated and output.

2. The method according to claim 1, characterized in that, The generation process of the carbon emission set during the toner replenishment cycle includes: Through the printing device interface and IoT sensing unit, the dynamic usage dataset is constructed by collecting the toner consumption change sequence, print job log sequence and direct energy consumption monitoring sequence of the toner cartridge during a single toner replenishment cycle. Based on the dynamic usage dataset, toner consumption analysis, print job carbon emission analysis and direct electricity carbon emission analysis are performed in parallel to obtain carbon emission components of toner consumption, carbon emission components of print jobs and carbon emission components of electricity consumption, respectively. The carbon emission components of toner consumption, printing job, and electricity consumption are summed to generate the carbon emission set of the toner replenishment cycle, which includes the total periodic carbon emission and its components.

3. The method according to claim 2, characterized in that, The toner consumption analysis includes: Based on the print job log sequence, the task type of each print job is identified, and the baseline toner consumption coefficient for each task type is determined according to the preset task type-typical toner coverage correspondence. By combining the print quality mode settings, the baseline toner consumption coefficient is dynamically corrected to generate a task-level dynamic toner consumption coefficient that reflects the actual printing characteristics. Based on the task-level dynamic toner consumption coefficient and the number of pages printed for the corresponding task, the corrected toner consumption, which characterizes the actual physical consumption, is calculated and accumulated for each task. By querying the database of implicit carbon emission factors of pre-set toner using the batch identifier of the current toner supply, the corresponding implicit carbon emission coefficient of toner can be obtained. The carbon emission component of the toner consumption is calculated by multiplying the corrected toner consumption amount by the toner implicit carbon emission coefficient.

4. The method according to claim 2, characterized in that, The carbon emission analysis of the printing job includes: The print job log sequence is analyzed to identify the document type and preset print quality mode for each print job. Based on the preset mode-energy consumption-paper consumption correlation rules, determine whether the current printing task is in low-carbon printing mode. If it is, multiply the number of pages printed in the low-carbon printing mode by the carbon emission conversion factor for the number of pages. The number of printed pages adjusted by the aforementioned page carbon emission conversion factor is converted together with the number of standard mode printed pages to an equivalent standard printed number of pages. Based on the type and specifications of the paper used, query the pre-set basic carbon emission coefficient database to obtain the corresponding paper carbon emission coefficient. The equivalent standard number of printed pages is multiplied by the paper carbon emission coefficient to calculate the carbon emission component of the printing job that incorporates the user's low-carbon printing behavior.

5. The method according to claim 2, characterized in that, The direct electricity carbon emission analysis includes: Based on the direct energy consumption monitoring sequence, the working status time sequence data of the printing equipment in the replenishment cycle is obtained, and the total power consumption of the printing equipment to which the toner cartridge belongs in the single toner replenishment cycle is analyzed. The working status timing data decomposes the total power consumption value into printing working status power consumption, standby power consumption, and sleep status power consumption. Match the corresponding regional power grid carbon emission coefficient based on the printing equipment's registration location information; The total power consumption value is multiplied by the carbon emission coefficient of the regional power grid to calculate the direct carbon dioxide emission equivalent corresponding to the power consumed by the printing equipment, which is used as the carbon emission component of the power consumption.

6. The method according to claim 2, characterized in that, The process of generating the net carbon emission set of the toner cartridge throughout its service life includes: Based on the unique identifier of the toner cartridge, the carbon emission set corresponding to all historical toner replenishment cycles is retrieved and aggregated. Prior knowledge of the periodic carbon emission intensity change is introduced for dynamic integration to obtain the cumulative total carbon emission during service. Based on the final processing path indicated by the waste toner cartridge disposal information, query the carbon impact factor library of the pre-set disposal method, calculate the carbon emissions or carbon offsets generated during the disposal stage, and generate the carbon impact of the disposal stage. The total cumulative carbon emissions during the service period are algebraically summed with the carbon impact during the disposal phase to generate the net carbon emissions set for the entire service life of the toner cartridge.

7. The method according to claim 6, characterized in that, The introduction of prior knowledge of periodic carbon emission intensity changes for dynamic integration includes: Using the unique identifier of the toner cartridge as an index, extract the carbon emission sets of several toner replenishment cycles arranged in chronological order; Based on historical data from previous refill cycles, an initial cycle carbon emission intensity benchmark for this toner cartridge is established. The total cycle carbon emission and total number of printed pages in subsequent refill cycles are analyzed to calculate the actual cycle carbon emission intensity. Based on the prior knowledge of the periodic carbon emission intensity change, the actual periodic carbon emission intensity of the subsequent replenishment cycle is compared with the initial periodic carbon emission intensity benchmark to identify the carbon emission intensity change trend caused by equipment efficiency wear and tear and changes in usage patterns. Based on the trend of carbon emission intensity change, the carbon emission data for subsequent periods are trend-corrected, and the corrected carbon emissions for all periods are accumulated to obtain the total cumulative carbon emissions during the service period that reflects the evolution of the equipment's service status.

8. The method according to claim 6, characterized in that, The carbon emissions or carbon offsets generated during the accounting and disposal phase include: Based on the information on the disposal of the toner cartridge, determine whether the final destination of the toner cartridge is a closed-loop recycling channel with qualified certification. If so, the corresponding negative carbon offset factor is retrieved from the carbon impact factor library of the disposal method. The negative carbon offset factor represents the carbon emissions from the production of virgin materials that are avoided due to the recycling of toner cartridge shell and component materials. The negative carbon offset factor is matched with the standard weight of the toner cartridge and the bill of materials to calculate the specific carbon offset amount generated by the recycling process of this toner cartridge, which is used as the carbon impact amount in the waste stage. If not, according to the actual treatment method in the toner cartridge waste disposal information, the corresponding positive carbon emission factor is retrieved from the carbon impact factor library of the disposal method. The positive carbon emission factor characterizes the greenhouse gas emissions generated by the toner cartridge during the informal dismantling process. The specific carbon emissions are calculated based on the positive carbon emission factor, which serves as the carbon impact of the waste phase.

9. The method according to claim 6, characterized in that, The process of generating the toner cartridge's full lifecycle carbon footprint report includes: Based on the net carbon emissions set of the entire service life of the toner cartridge, structured data processing is performed to generate a visual chart that includes the decomposition of the carbon footprint throughout the entire service life, key carbon emission intensity indicators, and comparison results with the benchmark of the same model. Combining the composition and trend of the cumulative total carbon emissions during the service period, and the attributes of the carbon impact during the disposal phase, the built-in rule engine automatically generates personalized low-carbon management suggestions for this toner cartridge's usage mode, maintenance timing, and disposal options. By integrating the aforementioned visualization charts with the personalized low-carbon management recommendations, a full lifecycle carbon footprint report of the toner cartridge is generated and output, which can be directly used by users or management systems.

10. A carbon footprint tracking and traceability system for office consumables covering the entire lifecycle, characterized in that, The method applied to any one of claims 1-9 includes: The replenishment cycle module is used to obtain the dynamic usage dataset within a single toner replenishment cycle of the toner cartridge. Based on the dynamic usage dataset, toner consumption analysis, printing job carbon emission analysis, and direct power carbon emission analysis are performed to generate a carbon emission set for the toner replenishment cycle. The service life module is used to acquire toner cartridge disposal information, and based on the carbon emission set of the toner replenishment cycle and the toner cartridge disposal information, to perform carbon emission integration and closed-loop carbon offset accounting for the entire service life, and generate a net carbon emission set for the entire service life of the toner cartridge. The report generation module is used to generate a carbon footprint report visualization and low-carbon management suggestions based on the net carbon emission set of the toner cartridge throughout its service life, and to generate and output a carbon footprint report of the toner cartridge throughout its entire life cycle.

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