A method and system for visualizing carbon emissions of a construction project

Abstract

The application relates to the technical field of building construction carbon emission management, and discloses a building construction engineering carbon emission visualization method and system, which comprises the following steps: obtaining construction engineering multi-source data to obtain a carbon emission dataset; eventizing the carbon emission dataset to obtain a carbon emission event set; performing space-time modeling on a construction site to obtain a space-time grid set; binding the carbon emission event set and the space-time grid set to obtain a visualization unit set; performing emission calculation on the visualization unit set to obtain a carbon emission amount; presetting actual output, and performing carbon efficiency calculation on the carbon emission amount and the actual output. The carbon emission eventization and space-time grid binding technical scheme are adopted, the technical effect that carbon emission is uniformly related to construction behavior, construction space and construction time is achieved, the positioning display of the source of the increase of carbon emission is realized, and the problem that the prior art can only count carbon emission and cannot explicitly display the cause of the increase of carbon emission is solved.

Description

Technical Field

[0001] This invention relates to the field of carbon emission management technology in building construction, specifically to a method and system for visualizing carbon emissions in building construction projects. Background Technology

[0002] In the dynamic visualization scenario of carbon emissions throughout the entire process of material entry, machinery operation, process construction, floor forming and component forming at the construction site of a large-scale building construction project, the sources of carbon emissions are distributed in material transportation, tower crane operation, construction elevator operation, concrete pumping, steel bar processing, formwork turnover, temporary power supply, floor pouring, component installation and on-site secondary handling, and are intertwined with construction progress, floor area, component object and work team, making it difficult for managers to accurately determine which floor, which process, which equipment operation stage or which batch of materials caused the abnormal increase in carbon emissions.

[0003] Currently, existing technologies typically use... The model, bill of quantities, material consumption, machinery usage data, electricity consumption data, and carbon emission factor database are used to calculate carbon emissions during the construction phase, and the calculation results are presented in reports, bar charts, pie charts, etc. The model is color-coded or the project's carbon emission dashboard is used for display; some technologies combine IoT sensors to collect data on construction machinery operating time, fuel consumption, and temporary electricity consumption, and summarize the carbon emission statistics for the construction phase according to material, machinery, transportation, and energy categories.

[0004] In existing technologies, carbon emission data can be statistically analyzed, but the results are usually summarized according to material category, machinery category, energy category, or construction stage. It is not easy to establish a unified object association between the electricity consumption of concrete pumping, the energy consumption of tower crane hoisting, the carbon emissions of material transportation and the specific floor pouring process. As a result, the visualization results can only reflect that the carbon emission level is too high, and cannot clearly show which construction behavior, which construction space, and which construction time period caused the increase in carbon emissions. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a method and system for visualizing carbon emissions from building construction projects, thereby at least partially solving the problems mentioned in the background section.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for visualizing carbon emissions from building construction projects, comprising:

[0007] Obtain multi-source data from the construction project to obtain a carbon emission dataset;

[0008] The carbon emission dataset is event-based to obtain a carbon emission event set;

[0009] Spatiotemporal modeling of the construction site was performed to obtain a spatiotemporal mesh set;

[0010] The carbon emission event set and the spatiotemporal grid set are bound together to obtain a set of visualization units;

[0011] Emissions are calculated from the set of visualized units to obtain carbon emissions;

[0012] The actual output is preset, and the carbon efficiency is calculated based on the carbon emissions and the actual output to obtain the carbon efficiency value.

[0013] Anomalies are determined in the carbon efficiency values ​​to obtain abnormal carbon efficiency values.

[0014] The carbon efficiency anomalies are attributed to different sources to obtain carbon source attribution values.

[0015] The carbon emissions, carbon efficiency values, carbon efficiency outliers, and carbon source attribution values ​​are hierarchically mapped to obtain hierarchical visualization results.

[0016] The anomaly summary of the hierarchical visualization results yields carbon emission scheduling prompts, and the carbon emission visualization results of the building construction project are output.

[0017] Preferably, the carbon emission dataset is event-based to obtain a carbon emission event set, including:

[0018] Extract the carbon emission dataset to obtain carbon emission-related data records;

[0019] The data records are standardized by including occurrence time, duration, occurrence location, data source, consumption, and associated construction content to obtain event-specific records.

[0020] Carbon emission source identification is performed on the event-to-be-event-recorded data to obtain emission source identification results;

[0021] Based on the emission source identification results, the event records that correspond to multiple emission processes are split to obtain single emission process records.

[0022] The event number, start and end time, emission source, usage information, construction location, and associated construction content are configured for each single emission process to obtain a carbon emission event;

[0023] The carbon emission events are summarized to obtain a carbon emission event set.

[0024] Preferably, spatiotemporal modeling of the construction site is performed to obtain a spatiotemporal mesh set, including:

[0025] Extract the construction calendar from the construction site to obtain the construction time range;

[0026] Using the aforementioned construction time range as a constraint, the construction site is divided into time segments to obtain a set of time segments;

[0027] The construction site is identified by identifying buildings, floors, construction areas, material storage areas, processing areas, transportation channels, and equipment operation ranges to obtain spatial division objects;

[0028] Based on the aforementioned spatial partitioning object, the construction site is divided into spatial grids to obtain a spatial grid set;

[0029] The time segment set and the spatial grid set are combined to obtain a spatiotemporal grid;

[0030] By summing up the spatiotemporal grids, a spatiotemporal grid set is obtained.

[0031] Preferably, the carbon emission event set and the spatiotemporal grid set are bound together to obtain a set of visualization units, including:

[0032] The carbon emission event set is parsed to obtain the events to be bound;

[0033] The spatiotemporal grid set is parsed to obtain the grid to be matched;

[0034] Time matching is performed based on the start and end times of the event to be bound and the time range of the grid to be matched, to obtain the time matching result;

[0035] Based on the time matching result, the construction location of the event to be bound and the spatial range of the grid to be matched are matched to obtain the location matching result;

[0036] Based on the location matching results, the event to be bound and the mesh to be matched are bound together to obtain the unit binding results;

[0037] When the event to be bound does not generate a location matching result, the event to be bound is allocated according to the proportion of actual output within the same time range to obtain a supplementary binding result;

[0038] The unit binding results and supplementary binding results are summarized to obtain a set of visual units.

[0039] Preferably, emissions calculations are performed on the visualized unit set to obtain carbon emissions, including:

[0040] The visualized unit set is parsed to obtain the unit to be calculated;

[0041] The emission source is identified for the unit to be calculated to obtain the emission source type;

[0042] Based on the emission source type, energy consumption, material consumption, transportation distance, and mechanical operating time are extracted from the unit to be calculated to obtain the emission activity amount;

[0043] Factor matching is performed on the emission source types to obtain carbon emission factors;

[0044] Based on the emission activity and carbon emission factor, the unit to be calculated is converted to obtain the unit emission amount;

[0045] The carbon emissions are obtained by summing up the emissions from the aforementioned units.

[0046] Preferably, carbon efficiency is calculated on the carbon emissions and actual output to obtain a carbon efficiency value, including:

[0047] The carbon emissions are analyzed to obtain the emissions to be calculated;

[0048] The actual output is analyzed to obtain the output to be calculated;

[0049] Using the spatiotemporal grid set as a constraint, the time range and spatial range of the emissions and outputs to be calculated are matched to obtain a matching calculation group;

[0050] The validity of the outputs to be calculated in the matching calculation group is verified to obtain the valid outputs;

[0051] The unit carbon efficiency value is obtained by calculating the ratio between the emissions to be calculated and the effective output in the matching calculation group.

[0052] The carbon efficiency values ​​of the units are summarized to obtain the carbon efficiency value.

[0053] Preferably, the carbon efficiency value is anomaly determined to obtain anomaly values, including:

[0054] The carbon efficiency value is analyzed to obtain the carbon efficiency value to be determined;

[0055] A normal range for carbon efficiency is preset, and the spatiotemporal grid set is used as a constraint to match the carbon efficiency value to be determined with the normal range for carbon efficiency, so as to obtain the carbon efficiency matching result.

[0056] The carbon efficiency matching results are compared within a range to obtain the carbon efficiency comparison results;

[0057] Preset construction achievement conditions, determine the achievement of the actual output, and obtain the output achievement result;

[0058] Based on the carbon efficiency comparison results and output achievement results, the carbon efficiency values ​​to be determined are marked as abnormal to obtain abnormal carbon efficiency values.

[0059] Preferably, attributing the outliers in carbon efficiency to obtain carbon source attribution values ​​includes:

[0060] The carbon efficiency outliers are analyzed to obtain the outliers to be attributed.

[0061] Using the anomaly value to be attributed as a constraint, the set of visualization units is located to obtain anomaly visualization units;

[0062] Based on the anomaly visualization unit, the carbon emission event set is correlated and extracted to obtain anomaly-related events;

[0063] The emission source, consumption, location, duration, and associated construction content of the abnormal related events are extracted to obtain attribution judgment data;

[0064] Based on the attribution judgment data, the emission source anomaly matching is performed on the abnormal related events to obtain the source anomaly matching result;

[0065] The source anomaly matching results are attributed to obtain carbon source attribution values.

[0066] Preferably, the carbon emissions, carbon efficiency values, carbon efficiency outliers, and carbon source attribution values ​​are hierarchically mapped to obtain hierarchical visualization results, including:

[0067] The carbon emissions, carbon efficiency values, carbon efficiency outliers, and carbon source attribution values ​​are analyzed to obtain the data to be mapped.

[0068] Using the spatiotemporal grid set and visualization unit set as constraints, the data to be mapped is matched to obtain the mapping matching result;

[0069] The carbon emissions in the mapping matching results are mapped by emission intensity to obtain a carbon emission display layer;

[0070] The carbon efficiency values ​​in the mapping matching results are mapped to efficiency status to obtain a carbon efficiency display layer;

[0071] The abnormal carbon efficiency values ​​in the mapping matching results are marked and mapped to obtain an abnormal display layer;

[0072] The carbon source attribution values ​​in the mapping matching results are subjected to source labeling mapping to obtain the attribution display layer;

[0073] The carbon emission display layer, carbon efficiency display layer, anomaly display layer, and attribution display layer are overlaid and correlated to obtain a layered visualization result.

[0074] A visualization system for carbon emissions in building construction projects includes:

[0075] The data acquisition module acquires multi-source data from the construction project to obtain a carbon emission dataset;

[0076] The event processing module processes the carbon emission dataset into events to obtain a carbon emission event set.

[0077] The spatiotemporal modeling module performs spatiotemporal modeling of the construction site to obtain a spatiotemporal mesh set.

[0078] The binding module binds the carbon emission event set and the spatiotemporal grid set to obtain a set of visualization units;

[0079] The emission calculation module performs emission calculations on the set of visualized units to obtain carbon emissions.

[0080] The carbon efficiency calculation module presets the actual output and calculates the carbon efficiency based on the carbon emissions and the actual output to obtain the carbon efficiency value.

[0081] The anomaly detection module performs anomaly detection on the carbon efficiency value to obtain anomaly values ​​for carbon efficiency.

[0082] The attribution module attributes the carbon efficiency anomalies to obtain carbon source attribution values.

[0083] The hierarchical mapping module performs hierarchical mapping on the carbon emissions, carbon efficiency values, carbon efficiency outliers, and carbon source attribution values ​​to obtain hierarchical visualization results.

[0084] The scheduling output module summarizes the anomalies in the hierarchical visualization results, obtains carbon emission scheduling prompts, and outputs the carbon emission visualization results of the building construction project.

[0085] This invention provides a method and system for visualizing carbon emissions from building construction projects. It offers the following advantages:

[0086] 1. This invention adopts a carbon emission eventification and spatiotemporal grid binding technology to achieve the technical effect of unified association between carbon emissions and construction behavior, construction space and construction time, realize the location display of the source of carbon emission increase, and solve the shortcomings of existing technologies that can only count carbon emissions and cannot clearly show the causes of carbon emission increase.

[0087] 2. This invention adopts a carbon efficiency anomaly determination and carbon source attribution mapping technology to achieve the technical effect of dynamic identification of construction status, realize the visualization of normal progress but abnormal carbon emission status, and solve the shortcomings of existing technologies that focus on static display and are not easy to identify carbon efficiency anomalies. Attached Figure Description

[0088] Figure 1 This is a schematic diagram of the process of the present invention;

[0089] Figure 2This is a schematic diagram of the system framework of the present invention. Detailed Implementation

[0090] To enable those skilled in the art to understand the present invention, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort should fall within the scope of protection of the present invention.

[0091] The present invention will now be described in detail with reference to the accompanying drawings:

[0092] Please see the appendix Figure 1 and attached Figure 2 This invention provides a visualization method for carbon emissions in building construction projects, applicable to the dynamic visualization management of carbon emissions generated by material arrival, machinery operation, temporary electricity use, fuel consumption, material transportation, component hoisting, concrete pumping, steel bar processing, formwork turnover, floor pouring, component installation, and on-site secondary handling activities. Instead of directly summarizing and displaying the collected carbon emission data at the project level, this method first transforms the carbon emission data into carbon emission events with time, location, emission source, and associated construction content. These events are then bound to a spatiotemporal grid at the construction site, forming visualization units that can be calculated, compared, located, attributed, and displayed. This enables the location display of sources of increased carbon emissions and the visual identification of abnormal carbon efficiency states.

[0093] In this embodiment, multi-source data of the construction project is first acquired to obtain a carbon emission dataset. The multi-source data of the construction project includes at least construction schedule data, actual construction log data, and... Model data, construction site layout data, material arrival data, material transportation data, machinery and equipment operation data, temporary power consumption data, fuel consumption data, and on-site positioning data.

[0094] Construction schedule data is used to determine the planned work times for different buildings, floors, construction areas, and construction tasks within the construction site. This data comes from the project schedule management system and includes fields such as project number, building number, floor number, construction area name, construction task name, planned start time, planned end time, and planned quantity.

[0095] Actual construction log data is used to determine the actual construction activities that have occurred on the construction site. This data comes from the site management system, mobile work reporting terminal, or daily work reports from work teams, and the fields include actual work start time, actual work end time, work team, construction area, completed work volume, construction content, work status, and exception records.

[0096] Model data is used to determine the spatial location and attributes of construction objects. This data includes component number, component type, component spatial coordinates, building to which the component belongs, floor to which the component belongs, axis to which the component belongs, component quantity, and component construction status. (For incomplete configuration...) The engineering of the model uses construction plans, floor plan layouts, equipment layouts, and material storage yard layouts as sources of spatial information.

[0097] Material arrival data is used to determine the source and basis of material consumption. This data includes material batch, material type, material quantity, material arrival time, unloading area, planned usage area, and material supply information. Material transportation data is used to determine the basis of emissions generated during transportation. This data includes transport vehicle number, material batch, transport start time, transport end time, transport route, transport distance, load, and unloading location.

[0098] Mechanical equipment operation data is used to determine the emission baseline generated by equipment such as tower cranes, construction elevators, concrete pumps, rebar processing equipment, loaders, and power generation equipment. This data includes equipment number, equipment type, start time, end time, operating status, operating power, fuel consumption, work location, standby time, and service construction content. Temporary power consumption data includes distribution box number, circuit number, start time, end time, power consumption, instantaneous power, and power supply area. On-site location data includes equipment location, vehicle location, material location, personnel work location, and work area location, used to compensate for the lack of spatial information in single-data modules.

[0099] The above data was formatted to obtain a carbon emission dataset. Format unification includes at least the following: unified time format, unified spatial coding, unified emission source coding, and unified construction content coding. Unified time format means converting time records from different systems to the same time base; unified spatial coding means mapping buildings, floors, construction areas, material storage areas, processing areas, and equipment operation areas to a unified construction site spatial code; unified emission source coding means unifying the carbon contained in materials, transportation emissions, machinery operation emissions, temporary electricity emissions, and fuel emissions into identifiable source types; unified construction content coding means unifying pouring, hoisting, rebar processing, formwork turnover, masonry, decoration, and secondary handling construction activities into comparable construction content codes.

[0100] The carbon emission dataset is event-driven to obtain a carbon emission event set. The purpose of event-driven processing is to transform data records that are originally scattered across different systems, formats, and statistical granularities into carbon emission events that can be incorporated into the binding and calculation process.

[0101] First, the carbon emission dataset is extracted to obtain carbon emission-related data records. These records refer to data that directly or indirectly reflect carbon emissions generated by construction activities. Data directly reflecting carbon emissions includes fuel consumption records, electricity consumption records, and material consumption records; data indirectly reflecting carbon emissions includes machinery operation records, transportation route records, material batch records, construction log records, and component construction status records.

[0102] The data records are then standardized in terms of occurrence time, duration, location, data source, consumption, and associated construction content to obtain event-based records. Occurrence time indicates the starting point of the construction activity or consumption behavior; duration indicates the time range of the activity; location indicates the construction area, floor, or equipment operating range where the activity occurred; data source indicates whether the record originates from the material system, equipment system, power system, positioning system, or construction log system; consumption represents the quantitative value corresponding to energy, materials, transportation, or machinery activities; and associated construction content indicates the construction behavior corresponding to the record.

[0103] The carbon emission sources are then identified from the event-specific records to obtain the emission source identification results. Emission source identification is determined based on data source, field type, equipment type, material type, and construction content. For example, if the record contains material batches and quantities, it is identified as material-related emissions; if the record contains transport vehicles, transport routes, and transport distances, it is identified as transport-related emissions; if the record contains equipment operating power or equipment operating time, it is identified as machinery operation-related emissions; if the record contains distribution box numbers and electricity consumption, it is identified as temporary electricity consumption-related emissions; and if the record contains fuel consumption, it is identified as fuel-related emissions.

[0104] When a record to be categorized as an event corresponds to multiple emission processes, it is split into single emission process records based on the emission source identification results. For example, if concrete is transported from off-site to the construction site and then pumped to a designated floor, this record corresponds to both transportation emissions and pumping operation emissions. This record is then split into a transportation emission process record and a pumping operation emission process record. Similarly, if materials are transferred from the storage yard to a floor and then hoisted to the component installation location by a tower crane, this record is split into a secondary material handling process record and a hoisting operation process record.

[0105] Next, for each single emission process record, an event number, start and end times, emission source, usage information, construction location, and associated construction details are configured to obtain a carbon emission event. A carbon emission event is represented as:

[0106] ,

[0107] in, Indicates the first Carbon emission incidents, Indicates the first The event number of each carbon emission incident. Indicates the first The start time of a carbon emission event. Indicates the first The end time of a carbon emission incident. Indicates the first The construction site of the carbon emission incident. Indicates the first The sources of carbon emissions from the incident. Indicates the first Information on the amount of carbon emissions generated by the event. Indicates the first Data sources for carbon emission events Indicates the first Construction content related to the carbon emission incident.

[0108] By summarizing carbon emission events, a carbon emission event set is obtained.

[0109] Spatiotemporal modeling of the construction site is performed to obtain a spatiotemporal mesh set. The purpose of spatiotemporal modeling is to provide locatable, comparable, and displayable objects for carbon emission events, so that carbon emissions are not limited to the total amount of the project or the total amount of each stage.

[0110] First, the construction calendar was extracted from the construction site to obtain the construction time range. The construction time range was determined based on the construction schedule, construction logs, equipment operation records, and material arrival records. This construction time range covers all time periods during which carbon emission-related activities occur on the construction site.

[0111] Constrained by the construction timeframe, the construction site is divided into time segments, resulting in a set of time segments. The time segment division is determined based on the data upload frequency, the frequency of construction activity changes, and the interface refresh frequency. In high-intensity continuous operation scenarios, time segments are set shorter to improve dynamic recognition accuracy; in ordinary construction scenarios, time segments are set longer to reduce computational load. Each time segment has a start time and an end time.

[0112] Next, the construction site is identified by defining buildings, floors, construction areas, material storage areas, processing areas, transportation routes, and equipment operating areas, thus creating spatial division objects. For those with... Projects based on the model should be prioritized. The buildings, floors, axes, component spatial ranges, and component locations in the model determine the spatial division objects. For For projects with incomplete models, the spatial division objects are determined based on the material storage yard, rebar processing area, formwork processing area, transportation channels, tower crane coverage area, construction elevator service area, and temporary power supply coverage area in the construction site layout plan.

[0113] The construction site is divided into spatial grids based on spatial partitioning objects, resulting in a spatial grid set. Spatial grids can be at the building level, floor level, construction area level, component group level, equipment operating radius level, or material flow path level. Each spatial grid has spatial boundaries, spatial codes, its associated building, floor, spatial function, and associated construction content.

[0114] By combining the set of time segments and the set of spatial grids, a spatiotemporal grid is obtained. The spatiotemporal grid is used to represent a specific spatial range within a given time segment. The spatiotemporal grid is represented as follows:

[0115] ,

[0116] in, Indicates the first Block spacetime grid, Indicates the first The grid number of the block spatiotemporal grid. Indicates the first The start point of time for the block spacetime grid. Indicates the first The end point of time for the block spacetime grid. Indicates the first The spatial boundary of the block spatiotemporal grid, Indicates the first Spatial functional attributes of block spatiotemporal grids Indicates the first Block spatiotemporal grids allow for the association of sets of construction content.

[0117] By summing up the spatiotemporal grids, we obtain the spatiotemporal grid set.

[0118] By binding the carbon emission event set and the spatiotemporal grid set, a set of visualization units is obtained. The purpose of binding is to transform carbon emission events into visualization units that can be displayed and analyzed in the construction site space.

[0119] First, the carbon emission event set is parsed to obtain the events to be bound. Each event to be bound must include at least the event start and end times, construction location, emission source, usage information, and associated construction content. Then, the spatiotemporal grid set is parsed to obtain the grid to be matched. Each grid to be matched must include at least the time range, spatial range, and associated construction content.

[0120] Time matching is performed based on the start and end times of the event to be bound and the time range of the grid to be matched, yielding the time matching result. Time matching uses time overlap calculation. When the start and end times of an event overlap with the time range of the grid to be matched, the event is considered to have a time correlation with that grid. A high time overlap indicates a high degree of time matching between the event and the grid. The formula for the time overlap between an event and a spatiotemporal grid is as follows:

[0121] ,

[0122] in, Indicates the first Carbon emission events and the first Temporal overlap between block spatiotemporal grids Indicates the first The start time of a carbon emission event. Indicates the first The end time of a carbon emission incident. Indicates the first The start point of time for the block spacetime grid. Indicates the first The end point of time for the block spacetime grid.

[0123] like If the time exceeds the preset time association condition, a time matching result is generated.

[0124] Based on the time matching results, location matching is performed between the construction location of the event to be bound and the spatial range of the grid to be matched, resulting in location matching results. Location matching is determined based on whether the construction location falls within the spatial boundary, whether the equipment operation range covers the spatial grid, whether the material path passes through the spatial grid, and whether the construction content belongs to the construction content that the grid is allowed to associate with.

[0125] Based on the location matching results, the events to be bound and the grids to be matched are bound to obtain the unit binding results. If the event to be bound has a clear construction location, material usage area, component number, or equipment location, it is preferentially bound directly to the corresponding spatiotemporal grid. If the event to be bound has an equipment operation area but no specific component number, it is bound to the spatiotemporal grid covered by the equipment operation area. If the event to be bound has time and emission source, and a location matching result cannot be formed, the events to be bound are allocated according to the proportion of actual output within the same time range to obtain supplementary binding results.

[0126] The supplementary binding process uses the following allocation method:

[0127] ,

[0128] in, Indicates the first Carbon emission events are allocated to the first Information on the usage of the block spatiotemporal grid. Indicates the first Original usage information for carbon emission events. Indicates the first The actual output of the corresponding construction content within the block spatiotemporal grid. Indicates and the A set of candidate spatiotemporal grids for carbon emission events that occur within the same time frame and are related to the construction content. Represents the first in the candidate spatiotemporal grid set The actual output of the block spatiotemporal grid.

[0129] Visualization units are generated using unit binding results and supplementary binding results. Each visualization unit includes at least the visualization unit number, the bound spatiotemporal grid, the bound carbon emission event, the emission source, usage information, associated construction content, actual output, the subsequently calculated carbon emissions, carbon efficiency value, carbon efficiency outliers, and carbon source attribution value. The visualization units are then aggregated to obtain a visualization unit set.

[0130] Emissions calculations are performed on the visualized unit set to obtain carbon emissions. The purpose of the emissions calculation is to convert the activity data in the visualized units into a unified carbon emissions figure based on different emission sources.

[0131] First, the visualized unit set is parsed to obtain the units to be calculated. Then, the emission sources of the units to be calculated are identified to obtain the emission source types. The emission source types include material-borne emissions, transportation emissions, machinery operation emissions, temporary electricity consumption emissions, and fuel emissions. Different emission source types correspond to different emission activity amounts and carbon emission factors.

[0132] Based on the emission source type, energy consumption, material consumption, transportation distance, and machinery operating time are extracted from the unit to be calculated to obtain emission activity quantities. For material-related emissions, the emission activity quantity is the material consumption; for transportation emissions, the emission activity quantity is the transportation turnover formed by transportation distance and transportation load; for machinery operation emissions, the emission activity quantity is the equipment operating time, operating power, or fuel consumption; for temporary electricity consumption emissions, the emission activity quantity is the electricity consumption; and for fuel emissions, the emission activity quantity is the fuel consumption.

[0133] Carbon emission factors are obtained by matching emission source types with available factors. These factors are sourced from publicly available national, industry, or local carbon emission factor databases, or from enterprise carbon emission factor databases confirmed by the project. If a material, energy source, or equipment lacks a directly matching factor, an approximate factor is matched based on the material category, equipment power, energy type, and construction purpose, and this factor is marked as a factor to be calibrated in the visualization results.

[0134] Based on emission activity levels and carbon emission factors, the unit emissions are converted to obtain the unit emissions. The unit emissions are calculated using the following method:

[0135] ,

[0136] in, Representing visual units Unit emissions, Representing visual units The number of emission sources included in the calculation. Representing visual units The Middle Emission activity levels of different emission sources. Indicates the first Carbon emission factors corresponding to emission sources Representing visual units The Middle Correction factors for emission sources.

[0137] The correction factor is used to handle deviations caused by factors to be calibrated, differences in equipment load, differences in transport vacancy, or differences in data acquisition granularity. If no correction is required, Use the default value.

[0138] The total emissions from each unit are aggregated to obtain the carbon emissions. This carbon emissions figure is not simply the total emissions of the project, but rather a collection of emissions associated with each visualized unit.

[0139] The actual output is preset, and carbon efficiency is calculated based on carbon emissions and actual output to obtain a carbon efficiency value. The carbon efficiency calculation is used to determine the carbon emission level corresponding to a unit of construction output.

[0140] In this implementation, the actual output is determined based on the type of construction work. For concrete pouring, the actual output is the poured volume; for rebar processing or tying, the actual output is the rebar weight; for masonry, the actual output is the completed wall area; for component hoisting, the actual output is the number or weight of components; and for decoration, the actual output is the completed area. The actual output is derived from construction logs, quality acceptance records, etc. Component completion status, measurement records, or on-site work reporting system.

[0141] Carbon emissions are analyzed to obtain the emissions to be calculated. Actual outputs are analyzed to obtain the outputs to be calculated. Using a spatiotemporal grid set as a constraint, the emissions and outputs to be calculated are matched in terms of time and spatial range to obtain a matched calculation group. This matched calculation group ensures that the carbon efficiency value is calculated under the same time range, the same spatial range, and the same related construction conditions, avoiding unreasonable comparisons between different construction contents.

[0142] The validity of the outputs to be calculated in the matching calculation group is validated to obtain the valid outputs. Validity validation includes checking if the output is empty, if the output is an abnormal negative value, if the output matches the construction log, and if the output is consistent with... The completion status must be consistent, and the output must fall within the metering type permitted by the current construction content. For calculation groups with missing or obviously abnormal output, they will not be included in the carbon efficiency anomaly judgment process, and will be marked as output pending confirmation in the visualization results.

[0143] The unit carbon efficiency value is obtained by calculating the ratio between the emissions to be calculated and the effective output in the matching calculation group:

[0144] ,

[0145] in, Representing visual units The unit carbon efficiency value, Representing visual units Unit emissions, Representing visual units Effective output, This indicates the minimum protection level.

[0146] If the effective output is less than or equal to the minimum protection level, the visualization unit enters a low-output verification state and is not directly used as a normal efficiency sample.

[0147] The carbon efficiency values ​​of each unit are summarized to obtain the carbon efficiency value. The carbon efficiency value serves as the basis for anomaly detection.

[0148] Anomaly detection is performed on carbon efficiency values ​​to identify abnormal carbon efficiency values. Anomaly detection is used to determine whether a specific visualization unit exhibits excessively high carbon emissions per unit of output.

[0149] First, the carbon efficiency value is analyzed to obtain the carbon efficiency value to be determined. A preset normal range for carbon efficiency is established, and the carbon efficiency value to be determined is matched with the normal range using a spatiotemporal grid set as a constraint, yielding the carbon efficiency matching result. The normal range for carbon efficiency is not a simple fixed value, but rather formed based on the same construction content, similar spatial range, similar construction conditions, and historical normal samples. In the initial stage of the project, energy consumption data of similar construction content from the company's historical projects or construction quotas are used as the initial reference range; after the project has formed a stable sample, the normal range for carbon efficiency is dynamically updated using historical normal samples from this project. Data under special conditions such as extreme weather, rush work, power outages, material supply interruptions, and acceptance waiting are not used as samples for generating the normal range.

[0150] The carbon efficiency matching results are compared within a range to obtain the carbon efficiency comparison result. The range comparison is determined based on whether the carbon efficiency value to be judged is higher than the upper limit of the corresponding normal carbon efficiency range. Preset construction achievement conditions are used to determine the achievement of actual output, resulting in the output achievement result. The construction achievement conditions are derived from the construction schedule plan or construction log and are used to determine whether the construction content corresponding to the current visualization unit has met the planned output requirements. If the construction achievement result indicates that the construction output meets the planned requirements, but the carbon efficiency value exceeds the normal range, it means that the progress in this area is normal, but the carbon emissions per unit output are abnormally high.

[0151] The anomaly detection method is as follows:

[0152] ,

[0153] in, Representing visual units Carbon efficiency anomaly score, Representing visual units The unit carbon efficiency value, Represents the visual unit The corresponding upper limit of the normal range for carbon efficiency. Indicates the minimum protection level. Representing visual units The construction achievement status value, Indicates the weight of carbon efficiency exceeding the limit. This indicates the weight of the construction achievement status. The construction achievement status value is used to distinguish between two statuses: "schedule not met and carbon efficiency abnormal" and "schedule met but carbon efficiency abnormal". If the construction schedule is met but carbon efficiency exceeds the limit, the abnormal score is increased to highlight it in the hierarchical visualization results.

[0154] Based on the carbon efficiency comparison results and output achievement results, the carbon efficiency values ​​to be judged are marked as abnormal, resulting in carbon efficiency anomaly values. Carbon efficiency anomaly values ​​include normal, attention, abnormal, and normal progress carbon anomaly states. Normal indicates that carbon efficiency is within the normal range; attention indicates that carbon efficiency is higher than the normal range but the degree of exceedance is low; abnormal indicates that carbon efficiency is significantly higher than the normal range; normal progress carbon anomaly indicates that the construction achievement conditions are met, but carbon efficiency exceeds the normal range.

[0155] The anomalies in carbon efficiency are attributed to specific sources to obtain carbon source attribution values. The purpose of attribution is to explain the emission source or construction conditions from which the anomalies originate, rather than to indicate carbon efficiency anomalies.

[0156] First, the carbon efficiency outliers are analyzed to obtain the outliers to be attributed. Using these outliers as constraints, the set of visualization units is located to obtain the anomalous visualization units. Based on these anomalous visualization units, the carbon emission event set is correlated and extracted to obtain the anomalous associated events. Anomalous associated events refer to the carbon emission events that contribute to the formation of the carbon emission and carbon efficiency values ​​of the anomalous visualization unit.

[0157] Anomalies are analyzed by extracting emission sources, consumption amounts, locations, durations, and associated construction activities to obtain attribution data. This attribution data is used to determine whether the anomaly originates from mechanical idling, secondary material handling, deviations from transport routes, temporary power outages, inefficient processes, or construction waiting. Specifically, if equipment operating time or energy consumption increases significantly, but the actual output of the associated construction activity does not increase proportionally, an anomaly related to mechanical idling is identified. If the length of the material transport route or the number of handling operations is significantly higher than the baseline route for the same material from the storage location to the construction location, a secondary material handling anomaly is identified. If the actual route in the transport record deviates from the preset transport route at the construction site, resulting in additional transport distance, a transport route deviation anomaly is identified. If the temporary power consumption curve continues to rise, but the corresponding construction output does not increase, a temporary power outage anomaly is identified. If the construction log shows pending acceptance, pending materials, or pending equipment status, and carbon emission events continue to occur, a construction waiting anomaly is identified. If the unit output carbon efficiency for the same construction activity remains consistently high, but there are no obvious equipment, route, or power outage anomalies, an inefficient process anomaly is identified.

[0158] Based on attribution judgment data, anomaly matching of emission sources is performed on abnormally associated events to obtain source anomaly matching results. Multiple attribution scoring methods are used to determine the primary attribution source:

[0159] ,

[0160] in, Representing visual units In the Attribution scores under different emission sources Representing visual units The Middle The degree of deviation in consumption from the emission source category. Representing visual units The Middle The degree of deviation in duration of emission sources, Representing visual units The Middle The degree of spatial path deviation of emission sources Representing visual units The Middle The degree of mismatch between emission sources and changes in output from related construction activities. , , and This indicates the attribution weights for deviations in consumption, duration, spatial path, and output.

[0161] Attribution labels are applied to the source anomaly matching results to obtain carbon source attribution values. Carbon source attribution values ​​can include one or more of the following: mechanical idling type, secondary material handling type, transportation path deviation type, temporary power consumption anomaly type, process inefficiency type, and construction waiting type, and can carry the corresponding attribution confidence level.

[0162] A hierarchical mapping is performed on carbon emissions, carbon efficiency values, carbon efficiency outliers, and carbon source attribution values ​​to obtain hierarchical visualization results. The hierarchical mapping is used to map the calculation results back to spatial and temporal objects at the construction site, enabling managers to simultaneously see emission intensity, efficiency status, anomaly markers, and anomaly sources.

[0163] First, carbon emissions, carbon efficiency values, carbon efficiency outliers, and carbon source attribution values ​​are analyzed to obtain the data to be mapped. Using a spatiotemporal grid set and a visualization unit set as constraints, correspondence matching is performed on the data to be mapped to obtain the mapping matching results. These matching results are used to determine the time segment, construction area, floor, construction content, and visualization unit corresponding to each carbon emission, carbon efficiency value, carbon efficiency outlier, and carbon source attribution value.

[0164] The carbon emissions in the mapping and matching results are mapped to emission intensity to obtain a carbon emission display layer. This layer can be represented as a floor-level carbon emission thermal layer, a construction area emission intensity layer, or a component group emission intensity layer. Areas with high emission intensity are highlighted to allow management personnel to quickly locate high-emission spaces.

[0165] The carbon efficiency values ​​in the mapping matching results are mapped to efficiency status to obtain the carbon efficiency display layer. The carbon efficiency display layer is used to show whether the carbon emissions per unit output under the same construction content are within the normal range, so that managers can distinguish between the normal state of "high emissions but high output" and the inefficient state of "low output but high emissions".

[0166] Anomaly markers are applied to carbon efficiency outliers in the mapping and matching results to create an anomaly display layer. This layer highlights states of concern, anomalies, and normal progress with carbon anomalies. For states with normal progress but abnormal carbon emissions, special markers are created on the corresponding floor, construction area, or construction content timeline.

[0167] The carbon source attribution values ​​in the mapping matching results are mapped to source labels to obtain the attribution display layer. The attribution display layer is used to further label the sources of anomalies based on the anomaly display layer. For example, in abnormal construction areas, it can label mechanical idling, secondary handling of materials, deviation of transportation routes, abnormal temporary power supply, inefficient processes, or construction waiting, so that managers can clearly identify the causes of anomalies.

[0168] The carbon emission display layer, carbon efficiency display layer, anomaly display layer, and attribution display layer are overlaid and correlated to obtain a layered visualization result. This layered visualization result can simultaneously output a project carbon emission overview map, floor carbon emission heat map, process carbon efficiency curve, anomaly carbon source attribution map, carbon emission event traceability list, and a layered display interface for construction areas. Users can filter by project, building, floor, construction area, construction content, emission source, and time segment in the visualization interface, and can trace back to the original carbon emission events that caused the anomalies.

[0169] Anomalies are summarized from the layered visualization results to generate carbon emission scheduling prompts and output the carbon emission visualization results for the construction project. Anomalies are summarized according to construction area, construction content, emission source, and anomaly level. For mechanical idling anomalies, prompts for equipment shutdown, equipment scheduling, or equipment usage period adjustment are generated; for secondary material handling anomalies, prompts for material storage yard adjustment or transfer route optimization are generated; for transportation route deviation anomalies, prompts for transportation route review and route optimization are generated; for temporary power consumption anomalies, prompts for power load review and temporary equipment inspection are generated; for construction waiting anomalies, prompts for construction coordination are generated; and for inefficient work processes, prompts for construction organization review are generated.

[0170] The output of the building construction carbon emission visualization results should include at least a project carbon emission overview, floor carbon emission thermal results, construction area carbon efficiency results, abnormal construction content markers, carbon source attribution results, event traceability list, and carbon emission scheduling prompts. Through this output, managers can see whether carbon emission levels are too high and can clearly identify the corresponding construction behaviors, construction areas, construction times, and sources of abnormalities.

[0171] This invention provides a carbon emission visualization system for building construction projects, used to execute the aforementioned carbon emission visualization method for building construction projects. The system includes a data acquisition module, an event processing module, a spatiotemporal modeling module, a binding module, an emission calculation module, a carbon efficiency calculation module, an anomaly detection module, an attribution module, a hierarchical mapping module, and a scheduling output module.

[0172] The data acquisition module is used to acquire multi-source data from the construction project to obtain a carbon emission dataset. This module can be integrated with the project schedule management system. The system is connected to the management system, material management system, machinery and equipment management system, temporary power consumption data acquisition system, fuel record system, and on-site positioning system.

[0173] The event-based module is used to eventify carbon emission datasets, resulting in a carbon emission event set. This module includes a data record extraction unit, a field unification unit, an emission source identification unit, a multi-emission process splitting unit, and an event encapsulation unit. The multi-emission process splitting unit separates records corresponding to multiple emission processes into single-emission process records, avoiding duplicate calculations and mixed attribution.

[0174] The spatiotemporal modeling module is used to perform spatiotemporal modeling of the construction site, resulting in a spatiotemporal mesh set. This module includes a construction time range extraction unit, a time segment division unit, a spatial division object identification unit, a spatial mesh division unit, and a spatiotemporal mesh combination unit.

[0175] The binding module is used to bind carbon emission event sets and spatiotemporal grid sets to obtain a set of visualization units. This module includes event parsing units, grid parsing units, time matching units, location matching units, direct binding units, and supplementary binding units. Supplementary binding units are used to allocate units according to the proportion of actual output within the same time range when no location matching result has been generated for the events to be bound.

[0176] The emissions calculation module is used to calculate carbon emissions from a set of visualized units. This module includes an emissions source identification unit, an emissions activity extraction unit, a factor matching unit, a correction processing unit, and an emissions conversion unit.

[0177] The carbon efficiency calculation module is used to preset the actual output and calculate the carbon efficiency between the carbon emissions and the actual output to obtain the carbon efficiency value. This module includes an output parsing unit, a spatiotemporal matching unit, a validity verification unit, and a ratio calculation unit.

[0178] The anomaly detection module is used to detect anomalies in carbon efficiency values ​​and obtain abnormal carbon efficiency values. This module includes a normal range construction unit, a range comparison unit, a construction achievement determination unit, and an anomaly marking unit.

[0179] The attribution module is used to attribute carbon efficiency outliers to obtain carbon source attribution values. This module includes an anomaly localization unit, an event association extraction unit, an attribution judgment data extraction unit, a source anomaly matching unit, and an attribution tagging unit.

[0180] The hierarchical mapping module is used to perform hierarchical mapping of carbon emissions, carbon efficiency values, carbon efficiency outliers, and carbon source attribution values, resulting in hierarchical visualization results. This module includes a data parsing unit, a correspondence matching unit, an emission intensity mapping unit, an efficiency status mapping unit, an anomaly labeling mapping unit, a source labeling mapping unit, and an overlay association unit.

[0181] The scheduling output module is used to summarize anomalies in the hierarchical visualization results, obtain carbon emission scheduling prompts, and output the carbon emission visualization results of the building construction project. This module outputs to... Model display terminal, construction plan display terminal, project carbon emission dashboard, mobile management terminal or construction scheduling system.

[0182] Through the above methods and systems, this invention can transform scattered carbon emission-related data from construction sites into carbon emission events, bind these events to a spatiotemporal grid and form visualization units, calculate carbon emissions and carbon efficiency values ​​within the same time and spatial range, and further perform anomaly detection, anomaly attribution, and hierarchical mapping. This solves the problem in existing technologies where carbon emission data can be statistically analyzed but it is not easy to clearly show which construction activity, construction space, and construction time period jointly caused the increase in carbon emissions. At the same time, it also solves the problem that existing visualization results tend to focus on static display and are not easy to identify abnormal carbon emission states even when progress is normal.

[0183] Example 1:

[0184] This embodiment uses the main structure construction phase of a large-scale building project as the verification object. On a certain construction day, concrete pouring work was carried out on the sixth floor of the east wing. During the same time period, concrete transportation, concrete pumping, tower crane hoisting, temporary power supply, and secondary handling on site occurred. Traditional statistical methods can usually only obtain the total carbon emissions related to concrete construction on that day, but cannot specify which floor, construction area, construction activity, or time range corresponds to that total carbon emissions. This embodiment is used to verify that the present invention can transform carbon emission data into a visual object that is consistent with construction activities, construction space, and construction time.

[0185] The data acquisition module consists of a material management system, a transportation record system, a machinery and equipment operation system, a temporary power consumption data acquisition system, a construction log system, and... The model acquires multi-source data from the construction project to obtain a carbon emission dataset. This carbon emission dataset includes concrete arrival records, transport vehicle driving records, concrete pump operation records, tower crane operation records, temporary power consumption records, and the construction log for the sixth-floor east wing pouring. Component spatial information.

[0186] The event processing module extracts carbon emission datasets to obtain carbon emission-related data records. It then unifies the occurrence time, duration, location, data source, consumption, and associated construction content in these records to obtain records to be event-processed. For records involving both concrete transportation and concrete pumping, the module first identifies the emission source and splits it into transportation emission process records and pumping emission process records, ensuring each record corresponds to only a single emission process. Finally, it configures each single emission process record with an event number, event start and end time, emission source, consumption information, construction location, and associated construction content to obtain the carbon emission event.

[0187] The spatiotemporal modeling module extracts the construction time range based on the construction calendar and divides the construction site into several time segments. Simultaneously, it identifies spatial division objects based on buildings, floors, construction areas, material storage areas, transportation channels, and equipment operation ranges, forming a spatial grid set. The sixth-floor east area is divided into the main construction spatial grid, while the concrete unloading area, pump truck placement area, and transportation channels are divided into auxiliary spatial grids. Finally, the time segments and spatial grids are combined to obtain the spatiotemporal grid set.

[0188] The binding module binds carbon emission event sets to spatiotemporal grid sets. For concrete pumping events and temporary power supply events with clearly defined construction locations, they are directly bound to the corresponding spatiotemporal grid in the sixth-floor east zone based on the event time and construction location. For transportation events, they are bound to the pouring construction content in the sixth-floor east zone according to the transportation end location, unloading location, and usage area in the construction log. For tower crane coordination events, they are bound to the construction area in the sixth-floor east zone based on the tower crane operation coverage, hoisting records, and operation content in the construction log. After binding, a set of visual units is formed, each with a clearly defined time range, spatial range, construction behavior, and emission source.

[0189] Table 1: Data Correspondence Before and After Event-Based Binding

[0190] Material arrival record Concrete arrival cubic meter Materials-related emissions Sixth Floor East Zone Concrete pouring Shipping records Concrete mixer truck transportation kilometer Transportation emissions Sixth Floor East Zone Concrete pouring Pump truck record Pump truck operation Hour Mechanical operation emissions Sixth Floor East Zone Concrete pumping Temporary power consumption record Electricity kilowatt-hours Temporary power supply emissions Sixth Floor East Zone Concrete pumping Tower crane record Tower crane assistance in hoisting Mechanical operation emissions Sixth Floor East Zone Pouring auxiliary operations

[0191] The emissions calculation module performs emissions calculations on the bound set of visualization units to obtain the carbon emissions of each visualization unit. During the calculation, transportation events are matched with transportation emission factors based on transportation distance and transportation load; pump truck operation events are matched with mechanical operation or electricity consumption emission factors based on equipment operating time, power, and electricity consumption; and material-related events are matched with material emission factors based on material usage. In this embodiment, all types of emissions are converted into a unified carbon dioxide equivalent.

[0192] The layered mapping module maps carbon emissions to corresponding time ranges, construction spaces, and construction activities, forming a carbon emission display layer. Managers can see in the visualization interface that the carbon emission level in the sixth-floor east zone is higher during the construction period, and can further examine the specific components that contribute to this higher level, including concrete transportation, pumping operations, temporary power supply, and tower crane coordination.

[0193] Table 2: Visualized Unit Results Corresponding to the Concrete Pouring of the Sixth Floor East Zone

[0194] unit point- point Sixth Floor East Zone Concrete pouring Transportation emissions unit point- point Sixth Floor East Zone Concrete pumping Temporary power supply emissions unit point- point Sixth Floor East Zone Concrete pumping Mechanical operation emissions unit point- point Sixth Floor East Zone Pouring auxiliary operations Tower crane operation emissions unit point- point Sixth Floor East Zone Concrete pouring Materials-related emissions

[0195] As shown in Table 2, if the traditional aggregation method is used, only the total carbon emissions related to the concrete pouring of the sixth-floor east zone can be obtained as 750 kg of CO2 equivalent. Management personnel cannot accurately determine which construction activities contributed to this value. This invention, through event-based and spatiotemporal grid binding, transforms emissions from transportation, pumping, machinery operations, and materials into visual units with attributes of construction time, construction space, and construction behavior.

[0196] In the visualization results, managers can view the carbon emission distribution along the spatial grid of the sixth-floor east zone, and can view emission changes over different time periods along the construction timeline. They can also filter by construction activity, such as concrete pouring, concrete pumping, and auxiliary pouring operations. This clearly shows that the increase in carbon emissions occurred in the sixth-floor east zone, specifically during the concrete pouring and pumping processes, and was primarily caused by a combination of material-related emissions and pumping operation emissions.

[0197] This embodiment verifies that the present invention employs a carbon emission eventification and spatiotemporal grid binding technology to transform carbon emission data, originally scattered across materials, equipment, electricity, and transportation systems, into visual units, achieving a unified correlation between carbon emissions and construction activities, construction space, and construction time. This result addresses the shortcomings of existing technologies where carbon emission data can be statistically analyzed, but it is difficult to clearly show which construction activity, construction space, and construction time period jointly caused the increase in carbon emissions.

[0198] Example 2:

[0199] This embodiment uses the component hoisting construction phase of the seventh-floor west section of a large building project as the verification object. On a certain construction day, the planned component hoisting task for this area was completed, and the construction progress appeared to meet the requirements. However, on-site management personnel discovered that the tower crane's operating time was excessively long and its electricity consumption was high. Traditional construction progress dashboards showed that the area was completed as planned, while traditional carbon emission dashboards showed that the total carbon emissions from the tower crane that day were high, making it impossible to determine whether this was an abnormality in unit output carbon emissions or to pinpoint the source of the anomaly. This embodiment is used to verify that the present invention can identify the state of "normal progress but abnormal carbon emissions" and further perform carbon source attribution and scheduling prompts.

[0200] The data acquisition module acquires tower crane operation records, component hoisting records, temporary power consumption records, construction logs, on-site positioning records, and actual output records to obtain a carbon emission dataset. The event processing module eventsify the carbon emission dataset, forming tower crane operation emission events, temporary power consumption emission events, and component hoisting-related events. The spatiotemporal modeling module divides the seventh-floor west zone and the tower crane coverage area into corresponding spatiotemporal grids, and the binding module binds relevant carbon emission events to the seventh-floor west zone component hoisting visualization unit based on the event start and end times, construction locations, and associated construction content.

[0201] The emissions calculation module performs emissions calculations on the visualized unit set to obtain carbon emissions. The carbon efficiency calculation module obtains the actual output within the same time and spatial range, using the number of hoisted components as the actual output, and calculates the carbon efficiency value by comparing the carbon emissions and the actual output. The anomaly detection module compares this carbon efficiency value with the normal range of carbon efficiency for similar component hoisting operations, and determines whether the planned hoisting volume for that area has been completed based on the construction achievement conditions.

[0202] Table 1: Comparison of Component Lifting Progress and Carbon Efficiency in the Seventh Floor West Zone

[0203] Seventh Floor West Zone Item Item Achieve Seventh Floor East Zone Item Item Achieve Sixth floor, west section Item Item Basically achieved

[0204] As shown in Table 1, the actual hoisting volume in the seventh-floor west section reached the planned volume, and the construction progress status was achieved. However, the carbon emission per unit component reached 13 kg of CO2 equivalent, significantly higher than the normal range for similar component hoisting operations. While the construction progress for this area appears to be completed normally, the total carbon emissions suggest that the increased emissions may be due to higher output. This invention uses carbon efficiency calculations to correlate carbon emissions with actual output, identifying a situation in the seventh-floor west section where progress is normal but carbon emissions are abnormal.

[0205] The anomaly detection module, based on carbon efficiency comparison results and output achievement results, marks the carbon efficiency values ​​to be determined for the seventh-floor west zone as anomalies, resulting in anomaly values ​​for carbon efficiency. These anomaly values ​​do not simply indicate high total emissions, but rather that, given the construction progress is achieved, the carbon emissions per unit of construction output in this area exceed the normal range for similar construction activities.

[0206] The attribution module uses the carbon efficiency anomaly value as a constraint to locate the abnormal visualization unit corresponding to the seventh-floor west zone. It then extracts tower crane operation events, temporary power consumption events, and component hoisting events related to this abnormal visualization unit from the carbon emission event cluster. The attribution module extracts the emission source, consumption, location, duration, and associated construction content from the associated abnormal events to form attribution judgment data. Further comparison of tower crane operating time, number of hoisted components, equipment standby time, and changes in temporary power consumption determines the source of the anomaly.

[0207] Table 2: Attribution Judgment Data for Anomaly Visualization Units in the West Zone of the Seventh Floor

[0208] Tower crane operating time Running time increased significantly Mechanical air transfer anomaly Tower crane standby time Standby time increased significantly Construction waiting type anomaly Number of hoisted components Item Item Output is within the normal range Non-output increase leads to Temporary electricity consumption kilowatt-hours kilowatt-hours Electricity consumption has increased significantly. Temporary power supply abnormality type

[0209] As shown in Table 2, the number of components hoisted in the seventh-floor west section is within the normal range, indicating that the high carbon efficiency value is not due to low actual output. The tower crane operating time and standby time are significantly higher than the normal reference state, and temporary power consumption has increased. Based on the construction log, during the hoisting process in the seventh-floor west section, there were instances of waiting for component verification and shift handover, resulting in the tower crane being in a continuous standby or inefficient operating state for some periods. Therefore, the attribution module marks the primary cause as mechanical idle-transfer anomaly, and the secondary causes as construction waiting anomaly and temporary power consumption anomaly.

[0210] The layered mapping module maps carbon emissions, carbon efficiency values, carbon efficiency anomalies, and carbon source attribution values ​​to carbon emission display layers, carbon efficiency display layers, anomaly display layers, and attribution display layers, respectively, and overlays them on the corresponding construction space in the seventh-floor west zone. Management personnel can intuitively see in the visualization interface that: the construction progress in the seventh-floor west zone has been achieved, but the carbon efficiency value exceeds the normal range; the sources of anomalies are mainly concentrated in the tower crane's operation and waiting status; the construction time range corresponding to the anomalies is the morning hoisting operation period; and the abnormal construction content is component hoisting.

[0211] The scheduling output module summarizes anomalies in the hierarchical visualization results and generates carbon emission scheduling prompts. For mechanical idle transition anomalies, it prompts to verify the necessity of continuous tower crane operation and suggests reducing continuous standby of tower cranes before the components are verified; for construction waiting anomalies, it prompts to optimize component acceptance and shift handover processes; for temporary power supply anomalies, it prompts to check the tower crane power supply circuit and the operating status of on-site auxiliary electrical equipment.

[0212] This embodiment demonstrates that the present invention does not simply display the total carbon emissions or whether the construction progress is complete. Instead, it identifies the state of "construction progress achieved but carbon emissions per unit output abnormally high" through carbon efficiency calculation, anomaly detection, and carbon source attribution. It further clarifies the location of the anomaly, the content of the abnormal construction, the time frame of the anomaly, and the source of the abnormal emissions. This result overcomes the shortcomings of existing technologies that rely heavily on static displays and are not adept at identifying construction states where progress is normal but carbon emissions are abnormal.

[0213] Embodiments of the present invention have been presented and described. It will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for visualizing carbon emissions from building construction projects, characterized in that, include: Obtain multi-source data from the construction project to obtain a carbon emission dataset; The carbon emission dataset is event-based to obtain a carbon emission event set; Spatiotemporal modeling of the construction site was performed to obtain a spatiotemporal mesh set; The carbon emission event set and the spatiotemporal grid set are bound together to obtain a set of visualization units; Emissions are calculated from the set of visualized units to obtain carbon emissions; The actual output is preset, and the carbon efficiency is calculated based on the carbon emissions and the actual output to obtain the carbon efficiency value. Anomalies are determined in the carbon efficiency values ​​to obtain abnormal carbon efficiency values. The carbon efficiency anomalies are attributed to different sources to obtain carbon source attribution values. The carbon emissions, carbon efficiency values, carbon efficiency outliers, and carbon source attribution values ​​are hierarchically mapped to obtain hierarchical visualization results. The anomaly summary of the hierarchical visualization results yields carbon emission scheduling prompts, and the carbon emission visualization results of the building construction project are output.

2. The method for visualizing carbon emissions from building construction projects according to claim 1, characterized in that, The carbon emission dataset is event-driven to obtain a carbon emission event set, including: Extract the carbon emission dataset to obtain carbon emission-related data records; The data records are standardized by including occurrence time, duration, occurrence location, data source, consumption, and associated construction content to obtain event-specific records. Carbon emission source identification is performed on the event-to-be-event-recorded data to obtain emission source identification results; Based on the emission source identification results, the event records that correspond to multiple emission processes are split to obtain single emission process records. The event number, start and end time, emission source, usage information, construction location, and associated construction content are configured for each single emission process to obtain a carbon emission event; The carbon emission events are summarized to obtain a carbon emission event set.

3. The method for visualizing carbon emissions from building construction projects according to claim 1, characterized in that, Spatiotemporal modeling of the construction site was performed to obtain a spatiotemporal mesh set, including: Extract the construction calendar from the construction site to obtain the construction time range; Using the aforementioned construction time range as a constraint, the construction site is divided into time segments to obtain a set of time segments; The construction site is identified by identifying buildings, floors, construction areas, material storage areas, processing areas, transportation channels, and equipment operation ranges to obtain spatial division objects; Based on the aforementioned spatial partitioning object, the construction site is divided into spatial grids to obtain a spatial grid set; The time segment set and the spatial grid set are combined to obtain a spatiotemporal grid; By summing up the spatiotemporal grids, a spatiotemporal grid set is obtained.

4. The method for visualizing carbon emissions from building construction projects according to claim 1, characterized in that, The carbon emission event set and the spatiotemporal grid set are bound together to obtain a set of visualization units, including: The carbon emission event set is parsed to obtain the events to be bound; The spatiotemporal grid set is parsed to obtain the grid to be matched; Time matching is performed based on the start and end times of the event to be bound and the time range of the grid to be matched, to obtain the time matching result; Based on the time matching result, the construction location of the event to be bound and the spatial range of the grid to be matched are matched to obtain the location matching result; Based on the location matching results, the event to be bound and the mesh to be matched are bound together to obtain the unit binding results; When the event to be bound does not generate a location matching result, the event to be bound is allocated according to the proportion of actual output within the same time range to obtain a supplementary binding result; The unit binding results and supplementary binding results are summarized to obtain a set of visual units.

5. The method for visualizing carbon emissions from building construction projects according to claim 1, characterized in that, Emissions calculations are performed on the visualized unit set to obtain carbon emissions, including: The visualized unit set is parsed to obtain the unit to be calculated; The emission source is identified for the unit to be calculated to obtain the emission source type; Based on the emission source type, energy consumption, material consumption, transportation distance, and mechanical operating time are extracted from the unit to be calculated to obtain the emission activity amount; Factor matching is performed on the emission source types to obtain carbon emission factors; Based on the emission activity and carbon emission factor, the unit to be calculated is converted to obtain the unit emission amount; The carbon emissions are obtained by summing up the emissions from the aforementioned units.

6. The method for visualizing carbon emissions from building construction projects according to claim 1, characterized in that, Carbon efficiency is calculated by examining the carbon emissions and actual output to obtain a carbon efficiency value, including: The carbon emissions are analyzed to obtain the emissions to be calculated; The actual output is analyzed to obtain the output to be calculated; Using the spatiotemporal grid set as a constraint, the time range and spatial range of the emissions and outputs to be calculated are matched to obtain a matching calculation group; The validity of the outputs to be calculated in the matching calculation group is verified to obtain the valid outputs; The unit carbon efficiency value is obtained by calculating the ratio between the emissions to be calculated and the effective output in the matching calculation group. The carbon efficiency values ​​of the units are summarized to obtain the carbon efficiency value.

7. The method for visualizing carbon emissions from building construction projects according to claim 1, characterized in that, The carbon efficiency value is anomaly identified, resulting in abnormal carbon efficiency values, including: The carbon efficiency value is analyzed to obtain the carbon efficiency value to be determined; A normal range for carbon efficiency is preset, and the spatiotemporal grid set is used as a constraint to match the carbon efficiency value to be determined with the normal range for carbon efficiency, so as to obtain the carbon efficiency matching result. The carbon efficiency matching results are compared within a range to obtain the carbon efficiency comparison results; Preset construction achievement conditions, determine the achievement of the actual output, and obtain the output achievement result; Based on the carbon efficiency comparison results and output achievement results, the carbon efficiency values ​​to be determined are marked as abnormal to obtain abnormal carbon efficiency values.

8. The method for visualizing carbon emissions from building construction projects according to claim 1, characterized in that, The carbon efficiency anomalies are attributed to different sources to obtain carbon source attribution values, including: The carbon efficiency outliers are analyzed to obtain the outliers to be attributed. Using the anomaly value to be attributed as a constraint, the set of visualization units is located to obtain anomaly visualization units; Based on the aforementioned anomaly visualization unit, the carbon emission event set is correlated and extracted to obtain anomaly-related events; The emission source, consumption, location, duration, and associated construction content of the abnormal related events are extracted to obtain attribution judgment data; Based on the attribution judgment data, the emission source anomaly matching is performed on the abnormal association event to obtain the source anomaly matching result; The source anomaly matching results are attributed to obtain carbon source attribution values.

9. The method for visualizing carbon emissions from building construction projects according to claim 1, characterized in that, A hierarchical mapping is performed on the carbon emissions, carbon efficiency values, carbon efficiency outliers, and carbon source attribution values ​​to obtain hierarchical visualization results, including: The carbon emissions, carbon efficiency values, carbon efficiency outliers, and carbon source attribution values ​​are analyzed to obtain the data to be mapped. Using the spatiotemporal grid set and visualization unit set as constraints, the data to be mapped is matched to obtain the mapping matching result; The carbon emissions in the mapping matching results are mapped by emission intensity to obtain a carbon emission display layer; The carbon efficiency values ​​in the mapping matching results are mapped to efficiency status to obtain a carbon efficiency display layer; The abnormal carbon efficiency values ​​in the mapping matching results are marked and mapped to obtain an abnormal display layer; The carbon source attribution values ​​in the mapping matching results are subjected to source labeling mapping to obtain the attribution display layer; The carbon emission display layer, carbon efficiency display layer, anomaly display layer, and attribution display layer are overlaid and correlated to obtain a layered visualization result.

10. A carbon emission visualization system for building construction projects, comprising the carbon emission visualization method for building construction projects according to any one of claims 1-9, characterized in that, include: The data acquisition module acquires multi-source data from the construction project to obtain a carbon emission dataset; The event processing module processes the carbon emission dataset into events to obtain a carbon emission event set. The spatiotemporal modeling module performs spatiotemporal modeling of the construction site to obtain a spatiotemporal mesh set. The binding module binds the carbon emission event set and the spatiotemporal grid set to obtain a set of visualization units; The emission calculation module performs emission calculations on the set of visualized units to obtain carbon emissions. The carbon efficiency calculation module presets the actual output and calculates the carbon efficiency based on the carbon emissions and the actual output to obtain the carbon efficiency value. The anomaly detection module performs anomaly detection on the carbon efficiency value to obtain anomaly values ​​for carbon efficiency. The attribution module attributes the carbon efficiency anomalies to obtain carbon source attribution values. The hierarchical mapping module performs hierarchical mapping on the carbon emissions, carbon efficiency values, carbon efficiency outliers, and carbon source attribution values ​​to obtain hierarchical visualization results. The scheduling output module summarizes the anomalies in the hierarchical visualization results, obtains carbon emission scheduling prompts, and outputs the carbon emission visualization results of the building construction project.

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