A method and system for quantifying the impact of construction uncertainty on construction carbon emissions

Abstract

The present invention provides a method and system for quantifying the degree of influence of construction uncertainty on construction carbon emissions, belonging to the field of carbon emission calculation. To solve the problem that the existing construction carbon emissions are static estimates based on construction organization design and construction drawings, and the data deviation caused by the influence of uncertainty in the construction process is not considered. By collecting theoretical construction consumption data and actual construction consumption data, the two are statistically analyzed according to the type of resource consumption or structural part, and then the difference between the two is made and multiplied by the corresponding carbon emission factor, so as to complete the quantification of the degree of influence of construction uncertainty, perform difference analysis on the quantified data, and give early warning prompts according to the intensity, proportion exceeding the limit, and abnormal fluctuation of the construction uncertainty, so as to help various construction projects quickly quantify the impact of construction uncertainty on construction carbon emissions, and then provide management guidance and decision-making basis for construction management and low-carbon construction.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission calculation, and in particular to a method and system for quantifying the impact of construction uncertainty on construction carbon emissions. Background Art

[0002] At present, the carbon emission measurement of construction activities mainly includes the statistics of material carbon emissions based on BIM models or design drawings, and the statistics of labor and machinery carbon emissions based on construction organization design, construction quotas and construction experience. Among them, the construction quota refers to the quantity standard of labor, materials and machine shifts consumed by construction installation workers or groups to complete a unit of qualified products under normal construction conditions. That is, under normal circumstances, for a certain engineering task, the average amount of work that can be completed by one machine shift or one construction worker in one working day. However, there are two problems in the statistics of material carbon emissions: on the one hand, this is a static construction carbon emission estimate based on the established design data of the project; on the other hand, this is a theoretical value measurement that ignores the impact of construction uncertainty.

[0003] In the actual construction process, there is a certain degree of loss of building materials during the construction process, and the utilization rate of the unwasted part is difficult to reach 100%. This loss rate and utilization rate are affected by various construction uncertainties such as construction conditions, construction level, worker quality, and management methods, and show great randomness within a certain range. Therefore, it is difficult to accurately reflect the actual consumption of building materials using the average or commonly used loss rate and utilization rate. The mechanical carbon emission factor determined by the type and performance specifications of the machine represents the average energy consumption of a machine shift. This carbon emission factor ignores the influence of various uncertainties such as mechanical work efficiency, load fluctuation, mechanical health status, and operator level, and has a large deviation from the actual value. On the other hand, the number of machine shifts required for the project is often estimated based on construction quotas and construction experience, which is also greatly affected by construction uncertainties and cannot accurately reflect the actual mechanical energy consumption. There is a large difference between the measurement results of the currently more commonly used construction carbon emission measurement methods and the actual construction carbon emission measurement results, but how big this difference is and what the specific reasons are, it needs to be demonstrated through detailed data analysis.

[0004] The existing patent is a method for evaluating the uncertainty of carbon emission results of road construction based on the model method (application number: CN202211073263.6), which conducts a comprehensive uncertainty evaluation of greenhouse gas emission results, including parameter uncertainty, model uncertainty and scenario selection uncertainty. The parameter uncertainty evaluation qualitatively evaluates the data quality according to the data quality evaluation matrix, uses the Beta distribution, and combines the improved hierarchical analysis method to assign weights to the data, and converts the input parameters into a probability density function; the model uncertainty is divided into model parameter uncertainty and model form uncertainty, and the Bayesian inference combined with slice sampling is used to evaluate the model parameter uncertainty; the model form uncertainty is evaluated based on the difference between the model before and after orthogonal polynomial correction; the scenario selection uncertainty evaluation uses sensitivity analysis-multi-scenario analysis. The above patent evaluates the uncertainty of the data in the road construction emission results, involving fewer construction processes and lower complexity, and is not used for construction with more processes and higher complexity. And the calculation is based on the quota / idealized model, which represents the average level under certain circumstances, but the actual data often fluctuates greatly, so the data obtained by this method has a certain deviation from the activity level under the actual construction conditions. In addition, existing carbon emission estimates need to consider the influence of multiple factors such as equipment model, equipment health, management level, construction project conditions, etc. Therefore, there are certain differences in the activity level models of each construction process in different construction projects, and the reliability of obtaining data using a single model is insufficient. Summary of the invention

[0005] The technical problems to be solved by the present invention are:

[0006] In order to solve the problem that the existing carbon emission estimates are calculated based on quota / idealized models, which are not suitable for actual data with large fluctuations and need to consider various actual construction factors, the data obtained using a single model is not reliable enough.

[0007] The present invention adopts the following technical solutions to solve the above technical problems:

[0008] The present invention provides a method for quantifying the impact of construction uncertainty on construction carbon emissions, comprising the following steps:

[0009] S100, collecting theoretical construction consumption data, wherein the theoretical construction consumption data includes theoretical material consumption, theoretical mechanical energy consumption, and theoretical labor shift consumption;

[0010] S200, collecting actual construction consumption data, wherein the actual construction consumption data includes the actual material consumption, the actual mechanical energy consumption and the actual labor shift consumption corresponding to the theoretical construction consumption data in step S100;

[0011] S300, quantifying the impact of construction uncertainty, calculating the difference between the theoretical construction consumption data obtained in step S100 and the actual construction consumption data obtained in step S200 according to the category classification, and multiplying the difference by the corresponding carbon emission factor to quantify the impact of the corresponding part of the construction uncertainty on the construction carbon emission;

[0012] S400, analyze the construction uncertainty impact obtained in step S300, calculate the total difference between the theoretical value and the actual value under each category, the difference ratio, the positive difference and the negative difference, and draw a multivariate icon display, so that the platform can issue abnormal warning prompts according to the intensity, excessive ratio and abnormal fluctuation of the construction uncertainty impact; combine the vertical comparison of differences based on time span and the horizontal comparison of differences based on related items / types to analyze the causes of the differences, and then provide construction management suggestions for key links to focus on and optimization of emission reduction strategies based on the analysis of the causes of the differences.

[0013] Furthermore, in step S100, it includes:

[0014] The theoretical material consumption is calculated using component data derived from the 3D BIM model of the construction project:

[0015]

[0016] in, It represents the theoretical total consumption of building material i (main material or turnover material); Indicates the model usage of building material i (main material or turnover material) derived from the 3D BIM model; represents the theoretical recovery factor of building material i selected according to the specifications and literature; represents the theoretical loss rate of building material i selected according to the specifications and literature; It represents the turnover number of building material i. The turnover number of main material is 1, and the turnover number of turnover material is determined according to the standard specification;

[0017] The theoretical energy consumption of machinery includes the theoretical energy consumption of off-site material transportation and the theoretical energy consumption of on-site mechanical construction. The theoretical energy consumption of off-site material transportation is obtained based on the transportation distance, load and mechanical energy consumption per 100 kilometers. The theoretical energy consumption of on-site mechanical construction is calculated based on the entry and exit time and quantity in the mechanical resource plan:

[0018]

[0019] in, represents the theoretical total consumption of energy type i; It represents the amount of energy i consumed per unit transport distance under the rated load of transport machinery type and specification j; Represents the equivalent total transport distance of transport machinery type and specification j under rated load; represents the amount of energy i consumed per work shift by construction machinery type and specification k; Represents the equivalent number of work shifts of construction machinery type and specification k; Represents the work-shift correction coefficient of the type and specification k of the construction machinery; Represents the total weight of building materials transported from transport point l to the construction site by transport machinery type and specification j; Represents the rated load capacity of transport machinery type and specification j; represents the equivalent number of transports of transport machinery type and specification j from transport point l to the construction site, and the number is rounded up; s 机 Represents the distance from the transportation point l to the construction site; Represents the arrival date of machine h among the construction machine type and specification k; Represents the retirement date of machine h in construction machine type and specification k;

[0020] The theoretical labor consumption of the shift is obtained according to the human resource investment plan:

[0021]

[0022] in, Represents the theoretical total man-day consumption of worker type i; Represents the man-day correction factor of worker type i; Represents worker type i in t j The number of workers in the time period; Represents the construction duration.

[0023] Furthermore, in step S200, the collection of the actual material consumption includes:

[0024] For projects without steel bar processing areas and concrete mixing plants, part of the building materials are input through the intelligent floor scale, and the rest are directly input through the steel digital processing center / concrete intelligent mixing plant outside the project; the consumption of building materials that do not require secondary processing is obtained by the intelligent floor scale; for projects with steel digital processing centers / concrete intelligent mixing plants inside the project, all building materials in the project are input through the intelligent floor scale;

[0025] For projects without steel bar processing areas and concrete mixing plants and projects with steel digital processing centers / concrete intelligent mixing plants, the calculation formulas for the project building material consumption using smart scales are as follows:

[0026]

[0027] in, Indicates the actual total consumption of building material i of the project obtained by the intelligent weighbridge; represents the total input quantity of building material i of the project obtained by the intelligent weighbridge; Indicates the amount of recycled residual material of building material i of the project obtained by the intelligent weighbridge; represents the amount of recycled waste of building material i of the project obtained by the intelligent weighbridge;

[0028] in:

[0029]

[0030] in, It indicates the weight of the machine and the weight of the loaded building materials during the mth transportation when the building material i measured by the intelligent floor scale is input into the project; It indicates the mechanical deadweight of the building material i measured by the intelligent floor scale when it is input into the project during the mth transportation; It indicates the weight of the machine and the weight of the loaded building materials during the nth transportation when the remaining building material i measured by the intelligent floor scale is exported to the project; It indicates the mechanical deadweight of the nth transportation when the remaining material of building material i measured by the intelligent floor scale is exported to the project; It indicates the weight of the machine and the weight of the loaded building materials during the vth transportation when the building material i waste is exported to the project as measured by the intelligent floor scale; It indicates the mechanical deadweight of the construction material i waste measured by the intelligent floor scale when it is exported to the project for the vth transportation;

[0031] For projects without steel bar processing area and concrete mixing station, the consumption of secondary processed building materials obtained by the steel digital processing center / concrete intelligent mixing station ordering system is:

[0032]

[0033] in, It represents the actual total consumption of secondary processed building material j of this project obtained by the steel digital processing center / concrete intelligent mixing station ordering system; It represents the input quantity of the jth batch of secondary processed building materials of this project obtained by the steel digital processing center / concrete intelligent mixing station ordering system; It represents the loss rate of the t-th batch of secondary processed building material j obtained by the steel digital processing center / concrete intelligent mixing station ordering system; represents the total output of the jth batch of secondary processed building materials obtained by the steel digital processing center / concrete intelligent mixing station ordering system; It represents the total raw material input of the tth batch of secondary processed building materials j obtained by the steel digital processing center / concrete intelligent mixing station ordering system.

[0034] Furthermore, in step S200, the collection of the actual consumption of mechanical energy includes the collection of off-site transportation activities and the collection of on-site construction activities. The off-site transportation activities all consume fuel, and the on-site construction activities are divided into electricity consumption and fuel consumption. The electricity consumption data is obtained by installing power monitoring equipment at a unified power supply hub to obtain the electricity consumption data and cumulative electricity consumption data of the project implementation; the fuel consumption data collection includes, for mechanical equipment installed with fuel consumption monitoring devices in the project, collecting data on the mechanical working status, real-time fuel consumption, and cumulative fuel consumption through the fuel consumption monitoring device; for mechanical equipment in the project that is not equipped with fuel consumption monitoring devices, unified fuel management is used to obtain daily / weekly / monthly fuel consumption data of this part of the mechanical equipment; in addition, the mechanical energy consumption generated by the off-site transportation of construction materials needs to be calculated one by one in combination with the weight of materials transported to the construction site by each vehicle collected by the intelligent floor scale, the transportation trajectory route, the average speed, the vehicle type and other information, and finally the mechanical energy consumption generated by the off-site transportation of all materials is obtained.

[0035] Furthermore, the collection of the actual mechanical energy consumption includes the collection of power consumption data and fuel consumption data, specifically including:

[0036]

[0037] in, represents the actual total consumption of energy type i; It represents the amount of energy i consumed per unit transport distance under the rated load of transport machinery type and specification j; represents the path mileage of the transport machine h in the pth transport of the transport machine type and specification j; represents the load capacity of the transport machine h in the pth transport of the transport machine type and specification j; Represents the rated load capacity of transport machinery type and specification j; Represents the speed correction factor of the transport machine h in the pth transport of the transport machine type and specification j; represents the amount of energy i consumed by machine h in construction machinery type and specification k during time period t; Represents the amount of energy i consumed by all construction machinery in the project that are not equipped with fuel consumption detection devices during period t.

[0038] Furthermore, in step S200, the actual labor consumption data of the shift is obtained through the access control system or attendance system to obtain the data of the construction personnel and management personnel who participate in the project construction every day.

[0039]

[0040] in, Represents the actual total man-day consumption of worker type i; represents the working hours of worker h in worker type i on the jth day; Represents the time when worker h gets off work on the jth day in plant i.

[0041] Furthermore, in step S300, it specifically includes:

[0042] S310, total difference calculation formula:

[0043] ΔC=ΔC 材 +ΔC 机 +ΔC 人 (14)

[0044] Among them, ΔC represents the total difference between theoretical carbon emissions and actual carbon emissions; ΔC 材 Indicates the difference between the theoretical carbon emission and the actual carbon emission of a material; ΔC 机 Indicates the difference between the mechanical theoretical carbon emission and the actual carbon emission; ΔC 人 Indicates the difference between theoretical artificial carbon emissions and actual carbon emissions;

[0045] The total difference ratio calculation formula is:

[0046]

[0047] Among them, C 理论 represents the total theoretical carbon emissions; η represents the overall construction uncertainty impact;

[0048] S320, for material differences,

[0049] Material carbon emission difference calculation formula:

[0050]

[0051] in, represents the carbon emission factor of material i;

[0052] Calculated by material type, the formula for calculating the difference ratio of material carbon emissions is:

[0053]

[0054] in, It indicates the degree of construction uncertainty impact caused by material i;

[0055] S330, for mechanical energy consumption differences,

[0056] Mechanical energy consumption carbon emission difference calculation formula:

[0057]

[0058] in, represents the carbon emission factor of energy type i;

[0059] The formula for calculating the difference ratio of mechanical energy consumption carbon emissions by energy type is as follows:

[0060]

[0061] in, It represents the degree of construction uncertainty impact caused by energy type i;

[0062] The formula for calculating the difference ratio of mechanical energy consumption carbon emissions by time is:

[0063]

[0064] in, It represents the degree of construction uncertainty impact caused by all mechanical energy in time period t;

[0065] S340, for labor force differences,

[0066] Artificial carbon emission calculation formula:

[0067]

[0068] in, It represents the actual man-day consumption of construction work type i in time period t; It represents the theoretical man-day consumption of construction type i in time period t; represents the carbon emission factor of construction work type i;

[0069] Calculated by construction type, the formula for calculating the difference ratio of manual carbon emissions is:

[0070]

[0071] in, It represents the degree of influence of construction uncertainty caused by construction work type i;

[0072] The formula for calculating the difference ratio of artificial carbon emissions by time is:

[0073]

[0074] in, It indicates the impact degree of construction uncertainty caused by human factors in time period t.

[0075] A system for quantifying the impact of construction uncertainty on construction carbon emissions, the system has program modules corresponding to the above steps, and executes the steps in the above method for quantifying the impact of construction uncertainty on construction carbon emissions when running.

[0076] A computer-readable storage medium stores a computer program, wherein the computer program is configured to implement the steps of a method for quantifying the impact of construction uncertainty on construction carbon emissions when called by a processor.

[0077] Compared with the prior art, the present invention has the following beneficial effects:

[0078] The present invention provides a method and system for quantifying the degree of influence of construction uncertainty on construction carbon emissions. The method collects theoretical construction consumption data including theoretical material consumption, theoretical mechanical energy consumption and theoretical labor shift consumption, and actual construction consumption data including actual material consumption, actual mechanical energy consumption and actual labor shift consumption. The difference between the two is made according to each classification or structural part and multiplied by the corresponding carbon emission factor to quantify the degree of influence of construction uncertainty. The quantified data is analyzed for differences, and early warning prompts are given according to the intensity, proportion exceeding the limit, and abnormal fluctuation problems of the influence of construction uncertainty. This helps various construction projects to quickly quantify the influence of construction uncertainty on construction carbon emissions, and then provide management guidance and decision-making basis for construction management and low-carbon construction. The existing technologies are all analyses of theoretical carbon emissions. This method realizes the accurate quantification of the influence of construction uncertainty on carbon emissions for the first time, which is of great significance for construction management, standard establishment, energy conservation and emission reduction, and benefit evaluation:

[0079] 1. Construction management: Through the accurate quantification of carbon emissions due to construction uncertainty, it is possible to determine the abnormal fluctuations in carbon emission intensity caused by construction uncertainty. On the one hand, alarms are issued for abnormal fluctuations to attract the attention of management personnel. On the other hand, the rationality of resource allocation and resource consumption is determined based on the analysis of abnormal fluctuations. Targeted construction management measures are formulated for unreasonable resource allocation and resource consumption to achieve real-time dynamic correction of the project.

[0080] 2. Standard establishment: Through the precise quantification of construction uncertainty carbon emissions, the scope of carbon emissions affected by construction uncertainty can be accurately reflected, and combined with theoretical carbon emissions, differentiated construction carbon emission standards can be formulated according to different project conditions.

[0081] 3. Energy conservation and emission reduction: Accurate quantification of uncertain carbon emissions during construction will help the government to strengthen supervision over the energy conservation and emission reduction effects during the construction process, and further urge the refined management of carbon emissions during the construction phase of construction projects to achieve the goal of energy conservation and emission reduction.

[0082] 4. Benefit evaluation: Through the precise quantification of uncertain carbon emissions during construction, we can accurately evaluate the project's construction management level and energy conservation and emission reduction effects, implement post-project evaluation, and provide guidance for the construction of other projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] Figure 1 The present invention is a flowchart of a method for quantifying the impact of construction uncertainty on construction carbon emissions in an embodiment of the present invention. DETAILED DESCRIPTION

[0084] In the description of the present invention, it should be noted that the terms "first", "second", and "third" mentioned in the embodiments of the present invention are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first", "second", and "third" may explicitly or implicitly include one or more of the features.

[0085] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0086] Specific implementation plan 1: Combine Figure 1 As shown, the present invention provides a method for quantifying the impact of construction uncertainty on construction carbon emissions, comprising the following steps:

[0087] S100, collecting theoretical construction consumption data, wherein the theoretical construction consumption data includes theoretical material consumption, theoretical mechanical energy consumption, and theoretical labor shift consumption;

[0088] S110, the theoretical material consumption is exported through a 3D BIM model of the construction project;

[0089] The 3D BIM model is created using Glodon quantity calculation software / Autodesk REVIT modeling software, which is a three-dimensional presentation of two-dimensional design drawings and is an essential workflow in the construction phase;

[0090] The theoretical material consumption is calculated using the component data derived from the 3D BIM model of the construction project. The specific formula is as follows:

[0091]

[0092] in, It represents the theoretical total consumption of building material i (main material or turnover material); Indicates the model usage of building material i (main material or turnover material) derived from the 3D BIM model; represents the theoretical recovery factor of building material i selected according to the specifications and literature; represents the theoretical loss rate of building material i selected according to the specifications and literature; It represents the turnover number of building material i. The turnover number of main material is 1, and the turnover number of turnover material is determined according to the standard specification;

[0093] S120, the theoretical energy consumption of mechanical construction includes theoretical energy consumption of off-site material transportation and theoretical energy consumption of on-site mechanical construction. The theoretical energy consumption of off-site material transportation is obtained based on the type of machinery, the number of machinery, the transportation distance, the load and the energy consumption of the machinery per 100 kilometers. The theoretical energy consumption of on-site mechanical construction is calculated based on the entry and exit time, the type of machinery, the number of machinery, the number of shifts, the type of energy consumption and the energy consumption per shift in the mechanical resource plan table;

[0094] The theoretical consumption of mechanical energy mainly includes the energy consumption of off-site transportation of the machinery and the energy consumption of on-site construction of the machinery. The specific calculation formula is as follows:

[0095]

[0096] in, represents the theoretical total consumption of energy type i; It represents the amount of energy i consumed per unit transport distance under the rated load of transport machinery type and specification j; Represents the equivalent total transport distance of transport machinery type and specification j under rated load; represents the amount of energy i consumed per work shift by construction machinery type and specification k; Represents the equivalent number of work shifts of construction machinery type and specification k; Represents the work-shift correction coefficient of the type and specification k of the construction machinery; Represents the total weight of building materials transported from transport point l to the construction site by transport machinery type and specification j; Represents the rated load capacity of transport machinery type and specification j; represents the equivalent number of transports of transport machinery type and specification j from transport point l to the construction site; s 机 Represents the distance from the transportation point l to the construction site; represent

[0097] The date of arrival of machine h among the types and specifications of construction machinery k; Represents the retirement date of machine h in construction machine type and specification k;

[0098] S130, the theoretical labor shift consumption is obtained according to the human resource investment plan;

[0099] The theoretical labor consumption is obtained according to the human resource investment plan. The specific calculation formula is as follows:

[0100]

[0101] in, Represents the theoretical total man-day consumption of worker type i; Represents the man-day correction factor of worker type i; Represents worker type i in t j The number of workers in the time period; represents the duration of construction;

[0102] S200, collecting actual construction consumption data, wherein the actual construction consumption data includes actual material consumption, actual mechanical energy consumption, and actual labor shift consumption corresponding to theoretical construction consumption data;

[0103] The actual material consumption needs to be collected in a collection method based on the actual situation of the project, including: for projects without a steel bar processing area and a concrete mixing station, the consumption of building materials that do not require secondary processing is directly obtained by the intelligent scale. For building materials that require secondary processing, the platform needs to connect to the concrete ordering system outside the project and the steel digital processing center ordering system to obtain the data of actual delivery of concrete and processed steel, including processing time, material type, use location, demand, input of raw materials, and processing loss rate; for projects with a steel bar processing area and a concrete mixing station, the consumption of all materials obtained through the intelligent scale system is the total material consumption of the project; since the production process of prefabricated components is difficult to trace, this method assumes that there is no difference between the theoretical consumption and actual consumption of prefabricated components;

[0104] S210. For projects without steel bar processing areas and concrete mixing plants, the consumption of building materials that do not require secondary processing is directly obtained through smart scales. For building materials that require secondary processing, the data of actual delivery of concrete and processed steel is obtained according to the concrete ordering system and the steel digital processing center ordering system. The material loss of secondary processing is determined based on historical experience data, that is, a part of the building materials is input through the smart scale, and the rest is directly input through the steel digital processing center / concrete intelligent mixing station outside the project. Among them, the consumption of building materials that do not require secondary processing obtained by the smart scale; for projects with steel digital processing centers / concrete intelligent mixing stations inside the project, all building materials in the project are input through smart scales;

[0105] For projects without steel bar processing areas and concrete mixing plants and projects with steel digital processing centers / concrete intelligent mixing plants, the calculation formulas for the project building material consumption using smart scales are as follows:

[0106]

[0107] in, Indicates the actual total consumption of building material i (main material or turnover material) of the project obtained by the intelligent weighbridge; It indicates the total input quantity of the building material i (main material or turnover material) of the project obtained by the intelligent weighbridge;

[0108] Indicates the amount of recycled residual material of the project's building material i (main material or turnover material) obtained by the intelligent weighbridge; Indicates the amount of recycled waste of the building material i (main material or turnover material) of the project obtained by the intelligent weighbridge;

[0109] in:

[0110]

[0111]

[0112] in, It indicates the weight of the machine and the weight of the loaded building materials during the mth transportation when the building material i (main material or turnover material) measured by the intelligent floor scale is input into the project; It indicates the mechanical deadweight of the building material i (main material or turnover material) measured by the intelligent floor scale when it is input into the project for the mth transportation; It indicates the weight of the machine and the weight of the loaded building materials during the nth transportation when the remaining building material i (main material or turnover material) measured by the intelligent floor scale is exported to the project; It indicates the mechanical deadweight of the nth transportation of the remaining building material i (main material or turnover material) measured by the intelligent floor scale when it is exported to the project; It indicates the weight of the machine and the weight of the loaded building materials during the vth transportation when the waste of building material i (main material or turnover material) is exported to the project as measured by the intelligent floor scale; It indicates the mechanical deadweight of the construction material i (main material or turnover material) measured by the intelligent floor scale when the waste is exported to the project for the vth transportation;

[0113] For projects without steel bar processing area and concrete mixing station, the consumption of secondary processed building materials obtained by the steel digital processing center / concrete intelligent mixing station ordering system is:

[0114]

[0115] in, It represents the actual total consumption of secondary processed building material j of this project obtained by the steel digital processing center / concrete intelligent mixing station ordering system; It represents the input quantity of the jth batch of secondary processed building materials of this project obtained by the steel digital processing center / concrete intelligent mixing station ordering system; It represents the loss rate of the t-th batch of secondary processed building material j obtained by the steel digital processing center / concrete intelligent mixing station ordering system; represents the total output of the jth batch of secondary processed building materials obtained by the steel digital processing center / concrete intelligent mixing station ordering system; It represents the total raw material input of the tth batch of secondary processed building materials j obtained by the steel digital processing center / concrete intelligent mixing station ordering system;

[0116] S220, the collection of the actual consumption of mechanical energy includes the collection of power consumption data and the collection of fuel consumption data: divided into off-site transportation activities and on-site construction activities, the off-site transportation activities are all fuel consumption, and the on-site construction activities are divided into power consumption and fuel consumption;

[0117] Among them, the power consumption data is obtained by installing power monitoring equipment at the unified power supply hub of the project to obtain the power consumption data and cumulative power consumption data of the project implementation, including the hourly / daily / weekly / monthly / cumulative power consumption, real-time current, real-time voltage, and active power of the project; the oil consumption data is more difficult to count than the power consumption data. For the mechanical equipment installed with oil consumption monitoring devices in the project, the oil consumption monitoring device is used to collect the machine name type, real-time working status, proportion of each working status of each shift, cumulative idle time, cumulative normal working time, and each shift / weekly / monthly / cumulative fuel consumption data; for the mechanical equipment without oil consumption monitoring devices installed in the project, unified oil management is adopted to obtain the daily / weekly / monthly fuel consumption data of this part of the mechanical equipment; in addition, for the mechanical energy consumption generated by the off-site transportation of construction materials, it is necessary to combine the information collected by the intelligent scale on the weight of materials transported to the construction site, the transportation trajectory route, the average speed, and the vehicle type to calculate one by one, and finally obtain the mechanical energy consumption generated by the off-site transportation of all materials;

[0118] Specifically include:

[0119]

[0120] in, represents the actual total consumption of energy type i; It represents the amount of energy i consumed per unit transport distance under the rated load of transport machinery type and specification j; represents the path mileage of the transport machine h in the pth transport of the transport machine type and specification j; represents the load capacity of the transport machine h in the pth transport of the transport machine type and specification j; Represents the rated load capacity of transport machinery type and specification j; Represents the speed correction factor of the transport machine h in the pth transport of the transport machine type and specification j; represents the amount of energy i consumed by machine h in construction machinery type and specification k during time period t; Represents the amount of energy i consumed by all construction machinery in the project that is not equipped with fuel consumption detection devices during period t;

[0121] S230. The actual labor consumption data of the labor shift can be obtained through the project's access control system and the attendance system to obtain the data of construction personnel and management personnel participating in the project construction every day, including personnel classification, daily attendance number, commuting time and working hours details, daily / weekly / monthly / accumulated total working hours;

[0122] The actual labor consumption is obtained from the project access control system or attendance system to obtain the labor input of each type of work every day. The specific calculation formula is as follows:

[0123]

[0124] in, Represents the actual total man-day consumption of worker type i; represents the working hours of worker h in worker type i on the jth day; represents the time when worker h gets off work on the jth day in plant i;

[0125] S300, quantifying the degree of influence of construction uncertainty, calculating the theoretical construction consumption data obtained in step S100 and the actual construction consumption data obtained in step S200, including respectively calculating the difference between each part of the theoretical construction consumption data and the actual construction consumption data, these differences are the influence of construction uncertainty on construction consumption, and the influence of construction uncertainty on construction carbon emissions can be quantified by multiplying the difference by the corresponding carbon emission factor;

[0126] The carbon emission factor is obtained from the national / provincial carbon emission measurement standards. The carbon emission factor for humans is fixed. The carbon emission factors for different types and models of machinery are different, and the carbon emission factors for different types of materials are also different.

[0127] Considering that the carbon emissions of building materials account for a high proportion of the carbon emissions of construction and are greatly affected by the uncertainty of construction, it is necessary to conduct a further comparative analysis of the theoretical carbon emissions and actual carbon emissions of building materials. In the measurement of the theoretical carbon emissions of building materials, the present invention identifies in detail the types and quantities of materials required for each structural part, and in the acquisition of the actual carbon emission data of building materials, the smart scale, smart mixing station, and digital steel bar processing area will all identify the construction site of each order. Therefore, the present invention can calculate the difference between the theoretical carbon emissions and the actual carbon emissions according to the structural parts, and then quantify the impact of construction uncertainty, specifically including:

[0128] S310, total difference calculation formula:

[0129] ΔC=ΔC 材 +ΔC 机 +ΔC 人 (14)

[0130] Among them, ΔC represents the total difference between theoretical carbon emissions and actual carbon emissions; ΔC 材 Indicates the difference between the theoretical carbon emission and the actual carbon emission of a material; ΔC 机 Indicates the difference between the mechanical theoretical carbon emission and the actual carbon emission; ΔC 人 Indicates the difference between theoretical artificial carbon emissions and actual carbon emissions;

[0131] The total difference ratio calculation formula is:

[0132]

[0133] Among them, C 理论 represents the total theoretical carbon emissions; η represents the overall construction uncertainty impact;

[0134] S320, for material differences,

[0135] Material carbon emission difference calculation formula:

[0136]

[0137] in, represents the actual consumption of material i; represents the theoretical consumption of material i; represents the carbon emission factor of material i;

[0138] Calculated by material type, the formula for calculating the difference ratio of material carbon emissions is:

[0139]

[0140] in, It indicates the degree of construction uncertainty impact caused by material i;

[0141] S330, for mechanical energy consumption differences,

[0142] Mechanical energy consumption carbon emission difference calculation formula:

[0143]

[0144] in, represents the actual energy consumption of construction machine i in time period t; represents the theoretical energy consumption of construction machine i in time period t; represents the carbon emission factor of energy type i;

[0145] The formula for calculating the difference ratio of mechanical energy consumption carbon emissions by energy type is as follows:

[0146]

[0147] in, It represents the degree of construction uncertainty impact caused by energy type i;

[0148] The formula for calculating the difference ratio of mechanical energy consumption carbon emissions by time is:

[0149]

[0150] in, It represents the degree of construction uncertainty impact caused by all mechanical energy in time period t;

[0151] S340, for labor force differences,

[0152] Artificial carbon emission calculation formula:

[0153]

[0154] in, It represents the actual man-day consumption of construction work type i in time period t; It represents the theoretical man-day consumption of construction type i in time period t; represents the carbon emission factor of construction work type i;

[0155] Calculated by construction type, the formula for calculating the difference ratio of manual carbon emissions is:

[0156]

[0157] in, It represents the degree of influence of construction uncertainty caused by construction work type i;

[0158] The formula for calculating the difference ratio of artificial carbon emissions by time is:

[0159]

[0160] in, It represents the impact degree of construction uncertainty caused by human factors in time period t;

[0161] S400, analyzing the construction uncertainty impact obtained in step S300, decomposing the uncertainty impact into three parts: materials, mechanical energy consumption, and labor. For materials, statistics are made according to material types; for mechanical energy consumption, statistics are made according to energy types and time; for labor, statistics are made according to construction work types and time, and then the total difference, difference ratio, positive difference (theoretical value is greater than actual value), negative difference (theoretical value is less than actual value) and other situations between theoretical value and actual value under each classification are calculated and analyzed, and then the difference is displayed through a variety of chart display methods such as bar charts, line charts, and pie charts; so that management personnel can dynamically understand the intensity, proportion, fluctuation abnormality and other situations of each construction uncertainty impact under different classification scales in real time. For these situations, further analysis is carried out in combination with factors such as construction progress and on-site management, and early warning prompts are issued for abnormal uncertainty impacts that do not meet the actual construction situation, and the content with large fluctuations in uncertainty impacts is paid special attention to. Timely intervention is made for the content that can be improved through management measures, and ultimately the construction management goals such as optimizing resource allocation, improving management efficiency, and optimizing emission reduction strategies are achieved.

[0162] Specific implementation scheme 2: The present invention provides a system for quantifying the impact of construction uncertainty on construction carbon emissions. The system has a program module corresponding to the above steps, and executes the steps in the above-mentioned method for quantifying the impact of construction uncertainty on construction carbon emissions during operation.

[0163] The other combinations and connection relationships of this embodiment are the same as those of the first embodiment.

[0164] Specific implementation scheme three: The present invention provides a computer-readable storage medium, which stores a computer program, and the computer program is configured to implement the steps of a method for quantifying the impact of construction uncertainty on construction carbon emissions when called by a processor.

[0165] The other combinations and connection relationships of this embodiment are the same as those of the first embodiment.

[0166] Although the present invention is disclosed as above, the protection scope of the present invention is not limited thereto. Those skilled in the art may make various changes and modifications without departing from the spirit and scope of the present invention, and these changes and modifications will fall within the protection scope of the present invention.

Claims

1. A method for quantifying the impact of construction uncertainty on construction carbon emissions, characterized in that: The following steps are involved: S100, collecting theoretical construction consumption data, wherein the theoretical construction consumption data includes theoretical material consumption, theoretical mechanical energy consumption, and theoretical labor shift consumption; S200, collecting actual construction consumption data, wherein the actual construction consumption data includes the actual material consumption, the actual mechanical energy consumption and the actual labor shift consumption corresponding to the theoretical construction consumption data in step S100; The collection of the actual material consumption includes: For projects without steel bar processing areas and concrete mixing plants, part of the building materials are input through the intelligent floor scale, and the rest are directly input through the steel digital processing center / concrete intelligent mixing plant outside the project; the consumption of building materials that do not require secondary processing is obtained by the intelligent floor scale; for projects with steel digital processing centers / concrete intelligent mixing plants inside the project, all building materials in the project are input through the intelligent floor scale; For projects without steel bar processing areas and concrete mixing plants and projects with steel digital processing centers / concrete intelligent mixing plants, the calculation formulas for the project building material consumption using smart scales are as follows: （6） in, Indicates the construction materials of the project obtained by the intelligent weighbridge Actual total consumption; Indicates the construction materials of the project obtained by the intelligent weighbridge The total input volume; Indicates the construction materials of the project obtained by the intelligent weighbridge The amount of recycled residue; Indicates that the intelligent weighbridge The amount of recycled waste from the project's construction materials; in: （7） （8） （9） in, Indicates the building materials measured by the smart scale When entering this item, The weight of the machine and the weight of the building materials loaded during the first transport; Indicates the building materials measured by the smart scale When entering this item, The dead weight of the machine during the first transport; Indicates the building materials measured by the smart scale When the remaining material is output for this project, The weight of the machine and the weight of the building materials loaded during the first transport; Indicates the building materials measured by the smart scale When the remaining material is output for this project, The dead weight of the machine during the first transport; Indicates the value measured by the intelligent weighing scale When the construction material waste is exported to the project, The weight of the machine and the weight of the building materials loaded during the first transport; Indicates the building materials measured by the intelligent floor scale When the waste is exported from the project, The dead weight of the machine during the first transport; For projects without steel bar processing area and concrete mixing station, the consumption of secondary processed building materials obtained by the steel digital processing center / concrete intelligent mixing station ordering system is: （10） （11） in, Indicates the secondary processing building materials of this project obtained by the steel digital processing center / concrete intelligent mixing station ordering system Actual total consumption; Indicates the secondary processing building materials of this project obtained by the steel digital processing center / concrete intelligent mixing station ordering system No. Batch input quantity; Represents secondary processed building materials obtained by the steel digital processing center / concrete intelligent mixing station ordering system No. The wastage rate of the batch processing; Represents secondary processed building materials obtained by the steel digital processing center / concrete intelligent mixing station ordering system No. The total output of the batch; Represents secondary processed building materials obtained by the steel digital processing center / concrete intelligent mixing station ordering system No. Total raw material input for the batch; S300, quantifying the impact of construction uncertainty, calculating the difference between the theoretical construction consumption data obtained in step S100 and the actual construction consumption data obtained in step S200 according to the category classification, and multiplying the difference by the corresponding carbon emission factor to quantify the impact of the corresponding part of the construction uncertainty on the construction carbon emission; S400, analyze the construction uncertainty impact obtained in step S300, calculate the total difference between the theoretical value and the actual value under each category, the difference ratio, the positive difference and the negative difference, and draw a multivariate icon display, so that the platform can issue abnormal warning prompts according to the intensity, excessive ratio and abnormal fluctuation of the construction uncertainty impact; combine the vertical comparison of differences based on time span and the horizontal comparison of differences based on related items / types to analyze the causes of the differences, and then provide construction management suggestions for key links to focus on and optimization of emission reduction strategies based on the analysis of the causes of the differences.

2. According to claim 1, a method for quantifying the impact of construction uncertainty on construction carbon emissions is characterized in that: In step S100, it includes: The theoretical material consumption is calculated using component data derived from the 3D BIM model of the construction project: (1) in, Indicates building materials Theoretical total consumption (of main materials or turnover materials); Represents building materials derived from 3DBIM models The model quantity (main material or turnover material); Indicates building materials selected according to specifications and literature Theoretical recovery factor: Indicates building materials selected according to specifications and literature Theoretical loss rate; Indicates building materials The turnover number of the main material is 1, and the turnover number of the turnover material is determined according to the standard specification; The theoretical energy consumption of machinery includes the theoretical energy consumption of off-site material transportation and the theoretical energy consumption of on-site mechanical construction. The theoretical energy consumption of off-site material transportation is obtained based on the transportation distance, load and mechanical energy consumption per 100 kilometers. The theoretical energy consumption of on-site mechanical construction is calculated based on the entry and exit time and quantity in the mechanical resource plan: (2) (3) (4) in, Representative energy types Theoretical total consumption; Representative transport machinery types and specifications Energy consumption per unit distance under rated load the number of Representative transport machinery types and specifications Equivalent total transport distance at rated load; Representative construction machinery types and specifications Energy consumption per work shift the number of Representative construction machinery types and specifications The equivalent number of work shifts; Representative construction machinery types and specifications The correction factor of the shift; Representative transport machinery types and specifications From the transport point The total weight of building materials transported to the construction site; Representative transport machinery types and specifications Rated load capacity; Representative transport machinery types and specifications From the transport point The equivalent number of transportations to the construction site, rounded up; Representative transportation point Distance to the construction site; Representative construction machinery types and specifications China Machinery Date of entry; Representative construction machinery types and specifications China Machinery The exit date of The theoretical labor consumption of the shift is obtained according to the human resource investment plan: (5) in, Representative worker type Theoretical total man-day consumption; Representative worker type The man-day correction factor of Representative worker type exist The number of workers in the time period; Represents the construction duration.

3. A method for quantifying the impact of construction uncertainty on construction carbon emissions according to claim 2, characterized in that: In step S200, the collection of the actual consumption of mechanical energy includes the collection of off-site transportation activities and the collection of on-site construction activities. The off-site transportation activities all consume fuel, and the on-site construction activities are divided into electricity consumption and fuel consumption. The electricity consumption data is obtained by installing power monitoring equipment at a unified power supply hub to obtain the power consumption data and cumulative power consumption data of the project implementation; the fuel consumption data collection includes, for mechanical equipment installed with fuel consumption monitoring devices in the project, collecting data on the mechanical working status, real-time fuel consumption, and cumulative fuel consumption through the fuel consumption monitoring device; for mechanical equipment in the project that is not equipped with fuel consumption monitoring devices, unified fuel management is used to obtain daily / weekly / monthly fuel consumption data of this part of the mechanical equipment; in addition, the mechanical energy consumption generated by the off-site transportation of construction materials needs to be calculated one by one in combination with the weight of materials transported to the construction site by each vehicle collected by the intelligent scale, the transportation trajectory route, the average speed, the vehicle type and other information, and finally the mechanical energy consumption generated by the off-site transportation of all materials is obtained.

4. A method for quantifying the impact of construction uncertainty on construction carbon emissions according to claim 3, characterized in that: The collection of actual mechanical energy consumption includes power consumption data collection and fuel consumption data collection, specifically including: （12） in, Representative energy types Actual total consumption; Representative transport machinery types and specifications Energy consumption per unit distance under rated load the number of Representative transport machinery types and specifications China Machinery No. Route mileage during each transport; Representative transport machinery types Specifications of machinery No. The load capacity during the first transport; Representative transport machinery types and specifications Rated load capacity; Representative transport machinery types and specifications China Machinery No. Speed ​​correction factor for the first transport; Representative construction machinery types and specifications China Machinery exist Energy consumption during the period the number of All construction machinery on behalf of the project that is not equipped with fuel consumption detection devices Energy consumption during the period The number of 5. A method for quantifying the impact of construction uncertainty on construction carbon emissions according to claim 4, characterized in that: In step S200, the actual labor consumption data of the shift is obtained through the access control system or attendance system from the construction personnel and management personnel who participate in the project construction every day. (13) in, Representative worker type The actual total man-day consumption; Representative worker type Middle Worker No. Working hours of the day; Representative artificial species Middle Worker No. The time to get off work on the day.

6. A method for quantifying the impact of construction uncertainty on construction carbon emissions according to claim 5, characterized in that: In step S300, specifically including: S310, total difference calculation formula: (14) in, It represents the total difference between theoretical carbon emissions and actual carbon emissions; Indicates the difference between theoretical carbon emissions and actual carbon emissions of a material; It represents the difference between the mechanical theoretical carbon emission and the actual carbon emission; Indicates the difference between theoretical artificial carbon emissions and actual carbon emissions; The total difference ratio calculation formula is: (15) in, represents the total theoretical carbon emissions; Indicates the degree of impact of overall construction uncertainty; S320, for material differences, Material carbon emission difference calculation formula: (16) in, Display material Carbon emission factor; Calculated by material type, the formula for calculating the difference ratio of material carbon emissions is: (17) in, Display material The degree of impact of the resulting construction uncertainty; S330, for mechanical energy consumption differences, Mechanical energy consumption carbon emission difference calculation formula: (18) in, Indicates the type of energy Carbon emission factor; The formula for calculating the difference ratio of mechanical energy consumption carbon emissions by energy type is as follows: (19) in, Indicates the type of energy The degree of impact of the resulting construction uncertainty; The formula for calculating the difference ratio of mechanical energy consumption carbon emissions by time is: (20) in, express The degree of construction uncertainty impact generated by all mechanical energy within the time period; S340, for labor force differences, Artificial carbon emission calculation formula: (21) in, Indicates construction type Here I am The actual number of man-days consumed during the time period; Indicates construction type Here I am Theoretical man-day consumption within the time period; Indicates construction type Carbon emission factor; Calculated by construction type, the formula for calculating the difference ratio of manual carbon emissions is: (22) in, Indicates construction type The degree of impact of the resulting construction uncertainty; The formula for calculating the difference ratio of artificial carbon emissions by time is: (23) in, express The degree of impact of artificially generated construction uncertainty within the time period.

7. A system for quantifying the impact of construction uncertainty on construction carbon emissions, characterized by: The system has a program module corresponding to the steps of any one of claims 1 to 6 above, and executes the steps in the method for quantifying the impact of construction uncertainty on construction carbon emissions when running.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is configured to implement the steps of the method for quantifying the degree of influence of construction uncertainty on construction carbon emissions according to any one of claims 1 to 6 when called by a processor.

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