CN117592666A - Multidimensional carbon emission data acquisition accounting system based on enterprise data - Google Patents
Multidimensional carbon emission data acquisition accounting system based on enterprise data Download PDFInfo
- Publication number
- CN117592666A CN117592666A CN202410074883.4A CN202410074883A CN117592666A CN 117592666 A CN117592666 A CN 117592666A CN 202410074883 A CN202410074883 A CN 202410074883A CN 117592666 A CN117592666 A CN 117592666A
- Authority
- CN
- China
- Prior art keywords
- masonry
- carbon emission
- processing
- model
- carbon
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 184
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 184
- 238000012545 processing Methods 0.000 claims abstract description 172
- 238000005265 energy consumption Methods 0.000 claims abstract description 52
- 238000005516 engineering process Methods 0.000 claims abstract description 48
- 238000004519 manufacturing process Methods 0.000 claims abstract description 40
- 238000011156 evaluation Methods 0.000 claims abstract description 28
- 230000009467 reduction Effects 0.000 claims abstract description 20
- 238000012163 sequencing technique Methods 0.000 claims abstract description 10
- 238000000034 method Methods 0.000 claims description 84
- 230000008569 process Effects 0.000 claims description 67
- 238000004458 analytical method Methods 0.000 claims description 23
- 238000004088 simulation Methods 0.000 claims description 14
- 238000012216 screening Methods 0.000 claims description 13
- 238000012360 testing method Methods 0.000 claims description 11
- 150000001721 carbon Chemical class 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000012937 correction Methods 0.000 claims description 6
- 238000012549 training Methods 0.000 claims description 6
- 238000012986 modification Methods 0.000 claims description 3
- 230000004048 modification Effects 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 2
- 238000010219 correlation analysis Methods 0.000 claims description 2
- 238000003754 machining Methods 0.000 claims description 2
- 239000002994 raw material Substances 0.000 abstract description 7
- 230000006872 improvement Effects 0.000 abstract description 3
- 238000012423 maintenance Methods 0.000 description 7
- 239000002699 waste material Substances 0.000 description 7
- 238000010276 construction Methods 0.000 description 6
- 238000013480 data collection Methods 0.000 description 5
- 230000001172 regenerating effect Effects 0.000 description 4
- 238000009435 building construction Methods 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000003912 environmental pollution Methods 0.000 description 2
- 239000005431 greenhouse gas Substances 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 239000000654 additive Substances 0.000 description 1
- 230000000996 additive effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 239000004568 cement Substances 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- 239000002910 solid waste Substances 0.000 description 1
- 238000010792 warming Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Abstract
The invention discloses a multi-dimensional carbon emission data acquisition accounting system based on enterprise data, which relates to the technical field of negative carbon energy consumption accounting, and aims to screen out a target processing technology according to a carbon emission factor reduction ratio by adjusting an energy consumption structure of masonry processing, orderly replacing the current processing technology with the processing technology in a processing technology library according to a first replacement sequence in a masonry processing model; generating component evaluation values from the component data sets, generating a second replacement sequence after sequencing, and replacing each component in sequence by using a masonry model according to the second replacement sequence; and when the manufacturing cost of the similar masonry is kept not higher, outputting the carbon negative energy consumption of the masonry if the carbon emission of the target masonry model is not higher than the standard carbon emission. When the masonry is produced, carbon emission is reduced in masonry components and raw material angles, and improvement of carbon energy consumption is achieved.
Description
Technical Field
The invention relates to the technical field of negative carbon energy consumption accounting, in particular to a multi-dimensional carbon emission data acquisition accounting system based on enterprise data.
Background
Carbon emission management refers to the reduction of greenhouse gas emissions by a series of planning, control and monitoring means, thereby slowing down the global warming process, and the main goal of carbon emission management is to reduce greenhouse gas emissions, particularly carbon dioxide emissions. In implementing carbon emission management measures, enterprises need to comprehensively consider factors in technical, economic, environmental, social aspects and the like so as to realize sustainable development.
Taking the building industry as an example, along with the gradual increase of building waste, a large amount of building waste, such as waste concrete, is in a waste state, if the concrete is produced again, not only the waste concrete is difficult to treat, but also a large amount of carbon emission is generated when the concrete is produced again, and the environmental pollution is increased, and the secondarily utilized building masonry contains a large amount of alkaline oxide capable of fixing carbon, so that the carbon fixation is facilitated on the basis of greatly reducing the carbon emission. The waste concrete is usually made into regenerative masonry, and after being crushed, screened, washed and dried, the waste concrete is produced into regenerative aggregate, and the regenerative aggregate is mixed with cement, sand, additive and other materials to be processed into regenerative building blocks, and the treatment mode is already developed in China and applied to practical construction.
In the invention patent with the application publication number of CN115391716A, a carbon emission metering platform system for the whole construction process is disclosed, and comprises a carbon emission metering method for the whole construction process and a carbon emission metering model for the whole construction process; the carbon emission metering method in the whole process of building construction comprises the following steps: s1: determining a target to be calculated and a boundary range of the target; s2: data acquisition is carried out on a target needing to be calculated; s3: analyzing and calculating the carbon emission of the accounting target according to the acquired data; s4: selecting an emission reduction target according to the accounting result; the carbon emission metering model of the whole building construction process comprises the following steps: the system comprises a data recording module, a data analysis module and a platform visual display module.
The carbon emission metering platform system for the whole building construction process can automatically complete the summary of various important production index data and the corresponding calculation of carbon emission in real time, and can display multiple dimensions from overall projects to daily conditions based on visual analysis means.
On the basis of combining the above application and the prior art, taking masonry production in the construction industry as an example, when multi-dimensional carbon emission data accounting is performed, the following problems still exist:
when producing the brickwork, the enterprise usually can carry out accounting to the negative carbon energy consumption of brickwork from a plurality of angles, for example, the course of working of brickwork and the structure constitution etc. of brickwork, the final negative carbon energy consumption that utilizes is got forms guiding effect to building brickwork production, reduces carbon emission on the basis of accomplishing accounting, but current multidimensional carbon emission data accounting system is usually with energy consumption utilization and carbon emission aassessment, measurement and calculation as the target, establishes and reduces the emission and calculates index system, on the basis of accomplishing accounting, especially when aiming at brickwork processing production, can not play effective guiding effect, can not play effective supplementary to brickwork processing quality.
To this end, the present invention provides a multi-dimensional carbon emission data collection accounting system based on enterprise data.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a multi-dimensional carbon emission data acquisition accounting system based on enterprise data, which is used for adjusting an energy consumption structure of masonry processing, sequentially replacing the current processing technology with the processing technology in a processing technology library according to a first replacement sequence in a masonry processing model, and screening out a target processing technology according to a carbon emission factor reduction ratio; generating component evaluation values from the component data sets, generating a second replacement sequence after sequencing, and sequentially replacing each component by using a masonry model according to the second replacement sequence until the carbon emission factor of the produced masonry is not reduced; and determining standard carbon emission, and outputting the carbon negative energy consumption of the masonry if the carbon emission of the target masonry model is not higher than the standard carbon emission when the manufacturing cost of the similar masonry is kept not higher than that of the similar masonry. When the masonry is produced, carbon emission is reduced in masonry components and raw material angles, and improvement of carbon energy consumption is realized, so that the problem in the background technology is solved.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme:
the multi-dimensional carbon emission data acquisition accounting method based on enterprise data comprises the following steps:
according to the masonry processing process, determining the energy consumption structure and the corresponding carbon emission factor on each processing node, and when the masonry is in a processing state, according to the CO in the masonry processing area 2 The correlation of the concentration variation trend and the carbon emission factor is used for adjusting the energy consumption structure of masonry processing;
constructing a processing technology library, orderly replacing the current processing technology with the processing technology in the processing technology library according to a first replacement sequence in a masonry processing model, and screening out a target processing technology according to a carbon emission factor reduction ratio;
detecting the brickwork, establishing a component data set of the brickwork, generating a component evaluation value Qtpj from the component data set, generating a second replacement sequence after sequencing, and sequentially replacing each component by using a brickwork model according to the second replacement sequence until the carbon emission factor of the produced brickwork is not reduced;
and selecting the similar masonry with the same manufacturing cost as the current masonry, determining the carbon emission in the production process as standard carbon emission, and outputting the negative carbon energy consumption of the masonry if the carbon emission of the target masonry model is not higher than the standard carbon emission when the manufacturing cost of the similar masonry is kept not higher than the manufacturing cost of the similar masonry, so as to complete the calculation of the carbon energy consumption of the masonry.
Further, the application environment of the masonry is preset, the preset environment is taken as input, and the trained masonry model is used for carrying out simulation analysis on the use process of the masonry, so that a corresponding analysis result is obtained; judging whether the masonry sample is available in a preset environment according to the analysis result, if so, constructing a masonry processing model according to the production process of the masonry, and outputting the masonry processing model.
Further, determining each processing node in the masonry processing process, and identifying the energy consumption structure on each processing node by combining a masonry processing model to determine a corresponding carbon emission factor; after the masonry production task is executed, the CO is obtained by analysis 2 Concentration trend of (2) for carbon emission factor and CO 2 And performing correlation analysis on the concentration change, acquiring a corresponding correlation coefficient R, and using the trained masonry processing model to adjust the energy structure on each processing node by combining the correlation coefficient R, and outputting the modified energy structure.
Further, a plurality of masonry processing technologies are obtained, a masonry processing technology library is summarized and constructed, and after the energy structure is modified, the modified energy structure is used for modifying the masonry processing model to form a first masonry processing model; when the machining process is performed, curing process values GPz are generated, and the N curing process values GPz are ordered according to the size of the curing process values GPz, where N is a positive integer greater than 0, and a first replacement order is determined.
Further, performing simulation analysis on masonry processing by using a first masonry processing model, obtaining a carbon emission factor when producing a unit quantity of masonry, taking the carbon emission factor as a first corrected carbon emission factor, and calculating the reduction ratio of the carbon emission factor compared with the original carbon emission factor; sequentially selecting processing processes from a masonry processing process library according to a first replacement sequence, and revising the first masonry processing model again to form N second masonry processing models, wherein N is a positive integer greater than 0.
Further, simulation analysis is carried out on masonry processing by using a second masonry processing model, a carbon emission factor in the process of producing a unit quantity of masonry is obtained, the carbon emission factor is determined to be a second modified carbon emission factor, the reduction ratio of the second modified carbon emission factor to the first modified carbon emission factor is calculated, a corresponding second masonry processing model is determined according to the maximum value in N reduction ratios, and then a corresponding processing technology is determined, wherein N is a positive integer greater than 0.
Further, according to the processing technology and the formula in the production of the masonry, a plurality of components required in the production of the masonry are obtained, and a masonry component data set is established; and acquiring component evaluation values Qtpj of the brickwork from the brickwork component data set, after acquiring N component evaluation values Qtpj of the brickwork, judging the parts smaller than a preset evaluation threshold value, and sequencing the parts smaller than the evaluation threshold value to form a second replacement sequence.
Further, sequentially reducing the duty ratio of the low-order components according to the second replacement order, synchronously increasing the duty ratio of the high-order components, obtaining the replaced masonry components, and correcting the masonry model according to the replaced masonry components to form a first corrected masonry model;
and under a preset environment, a simulation test is made by the first corrected masonry model, whether the corrected masonry is available or not is judged, if so, replacement is continued until the corrected first corrected masonry model is marked as a target masonry model when the masonry mechanical property only meets the lowest available standard, and the carbon emission of the current target masonry model is determined.
Furthermore, under the conditions of the same mechanical property and low manufacturing cost, the masonry with the same specification is matched as a standard masonry, and a corresponding sample is generated by a target masonry model and is used as a correction masonry; and (3) performing a reliability test on the corrected masonry in a preset environment, obtaining a masonry reliability coefficient Qkxs according to test results, judging whether the corrected masonry meets the use requirement according to the relation between the corrected masonry and a preset reliability threshold value, and respectively obtaining carbon emission of the standard masonry and carbon emission of the corrected masonry and calculating to obtain a corresponding negative carbon energy consumption value if the corrected masonry meets the use requirement.
A multi-dimensional carbon emission data collection accounting system based on enterprise data, comprising:
the model training unit is used for collecting the mechanical properties and the component data of the current masonry, constructing a masonry model and constructing a masonry processing model according to the processing process of the masonry;
the analysis unit is used for analyzing the CO in the masonry processing area when the masonry is in the processing state 2 The correlation of the concentration variation trend and the carbon emission factor is used for adjusting the energy consumption structure of masonry processing;
a process screening unit for orderly replacing the current processing process by the processing process in the processing process library according to the first replacement sequence in the masonry processing model, and screening out a target processing process according to the reduction ratio of the carbon emission factors;
a replacement unit for generating component evaluation values Qtpj from the component data sets, generating a second replacement sequence after sequencing, and sequentially replacing each component by using a masonry model according to the second replacement sequence until the carbon emission factor of the produced masonry is not reduced;
and the evaluation unit is used for determining standard carbon emission, and if the carbon emission of the target masonry model is not higher than the standard carbon emission when the manufacturing cost of the similar masonry is kept, outputting the carbon negative energy consumption of the masonry, so as to complete the masonry carbon energy consumption accounting.
(III) beneficial effects
The invention provides a multidimensional carbon emission data acquisition accounting system based on enterprise data, which has the following beneficial effects:
1. the maintenance process value GPz is constructed to play a guiding role in modifying and replacing the masonry processing process, and on the basis of adjusting the energy structure, the masonry processing process is replaced, so that carbon emission during masonry processing can be further reduced, and the economic cost of the replacement process is also reduced.
2. And constructing a second replacement sequence, acquiring a target masonry model, judging whether the target masonry model with changed components is available or not by performing multiple simulation analysis under a limited condition, and reducing carbon emission at the masonry components and raw material angles during the production of the masonry, so as to improve carbon energy consumption.
3. The calculation of the carbon energy consumption of the masonry is completed from multiple dimensions, the negative carbon energy consumption of the masonry is regulated under the limited condition, the carbon emission is reduced, and the continuous use of the masonry in a preset environment can be continuously met; further reduction of carbon emissions from existing masonry is achieved and the quality of masonry is maintained.
Drawings
FIG. 1 is a schematic flow chart of a multi-dimensional carbon emission data accounting method according to the present invention;
FIG. 2 is a schematic diagram of a multi-dimensional carbon emission data accounting system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a multi-dimensional carbon emission data collection accounting method based on enterprise data:
step one, acquiring the mechanical properties and component data of the current masonry, constructing a masonry model after training and testing, and constructing a masonry processing model according to the processing process of the masonry; wherein the masonry means a solid waste regenerated building masonry;
the first step comprises the following steps:
step 101, constructing an initial model by using a Bp neural network, obtaining a masonry sample, determining corresponding component constitution according to the production process and the formula of the masonry sample, and constructing a masonry data set by combining the size data of the masonry sample; after identifying the data in the masonry data set and acquiring the characteristic data, training and testing the initial model to acquire a trained masonry model;
the application environment of the masonry is preset, and the masonry specifically comprises the following steps: the method comprises the steps of taking a preset environment as input after a masonry model is obtained, performing simulation analysis on the use process of the masonry by using the trained masonry model, and obtaining a corresponding analysis result;
102, judging whether a masonry sample is available in a preset environment according to an analysis result, if the masonry sample is available, constructing an initial model by a Bp neural network according to a production process of the masonry, acquiring data and identifying the data to obtain corresponding characteristic data, training and testing the initial model, and then obtaining and outputting a trained masonry processing model;
in use, the contents of steps 101 and 102 are combined:
by constructing the masonry model and the masonry processing model, the carbon emission of the masonry is conveniently evaluated when the masonry is processed.
Step two, determining energy consumption structures and corresponding carbon emission factors on all processing nodes according to the masonry processing process, and determining CO in a masonry processing area when the masonry is in a processing state 2 Concentration trend according to CO 2 The correlation of the concentration variation trend and the carbon emission factor is used for adjusting the energy consumption structure of masonry processing;
the second step comprises the following steps:
step 201, determining each processing node in the masonry processing process when the masonry is processed, identifying the energy consumption on each processing node by combining a masonry processing model, inquiring an energy consumption structure in the current processing process, and determining a corresponding carbon emission factor by the energy consumption structure;
step 202, after the masonry production task is executed, if CO in the masonry processing area 2 Analyzing and obtaining CO when the concentration is changed 2 According to the concentration variation trend of carbon emission factor and CO 2 The correlation among the concentration changes is used for obtaining a corresponding correlation coefficient R;
and (3) combining the correlation coefficient R, using the trained masonry processing model to adjust the energy structure on each processing node until the carbon emission factor of the masonry produced at present is not reduced continuously, and outputting the modified energy structure.
In use, the contents of steps 201 to 202 are combined:
after the correlation coefficient R is judged to be larger than the preset correlation threshold, the influence degree of the energy structure on the carbon emission during masonry processing can be judged, and the energy structure is adaptively adjusted based on the influence degree, so that the carbon emission during masonry processing can be reduced, and meanwhile, the environmental pollution can be reduced. The correlation threshold can be set by a user according to historical data and actual use requirements.
Step three, collecting the existing masonry processing technology and constructing a processing technology library, if the carbon emission exceeds the expected value due to the existing masonry processing technology, orderly replacing the existing processing technology with the processing technology in the processing technology library according to a first replacement sequence in a masonry processing model, and screening out a target processing technology according to a carbon emission factor reduction ratio;
the third step comprises the following steps:
step 301, obtaining a plurality of processing technologies for processing the masonry through linear retrieval on line or data collection off line, summarizing and constructing a masonry processing technology library, and after finishing modification of an energy structure, modifying a masonry processing model with the modified energy structure to form a first masonry processing model;
step 302, when the processing technology is executed, obtaining curing pressure Yp, curing time Yt and curing temperature Yk of curing of the masonry processing technology, establishing a masonry curing data set, and generating curing technology value GPz by the masonry curing data set, wherein the concrete mode is as follows: dimensionless treatment is carried out on the curing pressure Yp, the curing time Yt and the curing temperature Yk, and curing process values GPz are generated in a correlation mode according to the following formula:
wherein, the parameter meaning is: temperature factor:the pressure factor,time factor, ->，/>Is a constant correction coefficient.
It should be noted that, a person skilled in the art collects multiple sets of sample data and sets a corresponding preset for each set of sample dataA scaling factor; substituting the preset proportionality coefficient and the collected sample data into a formula, forming a ternary once equation set by any three formulas, screening the coefficient obtained by calculation and taking an average value to obtainIs a value of (2);
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding preset proportional coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
The masonry process is evaluated by generating a maintenance process value GPz, which can be screened or categorized by a user.
Step 303, obtaining maintenance process values GPz of N masonry processing processes, wherein N is a positive integer greater than 0, marking the corresponding masonry processes with the maintenance process values GPz, and sorting the N maintenance process values GPz according to the maintenance process values GPz, wherein N is a positive integer greater than 0, and determining a first replacement sequence;
performing simulation analysis on masonry processing by using a first masonry processing model, obtaining a carbon emission factor when a unit quantity of masonry is produced, taking the carbon emission factor as a first corrected carbon emission factor, and calculating the reduction ratio of the carbon emission factor compared with the original carbon emission factor; sequentially selecting processing processes from a masonry processing process library according to a first replacement sequence, and revising the first masonry processing model again to form N second masonry processing models, wherein N is a positive integer greater than 0;
the existing masonry processing technology is replaced orderly, so that the masonry processing technology with the minimum carbon emission can be determined, and the masonry processing technology can be screened conveniently;
step 304, performing simulation analysis on masonry processing by using a second masonry processing model, obtaining a carbon emission factor when producing a unit quantity of masonry, determining the carbon emission factor as a second modified carbon emission factor, calculating a reduction ratio of the second modified carbon emission factor to the first modified carbon emission factor, determining a corresponding second masonry processing model by the maximum value in N reduction ratios, and further determining a corresponding processing technology, wherein N is a positive integer greater than 0, and taking the corresponding processing technology as a target processing technology;
in use, the contents of steps 301 to 304 are combined:
the maintenance process value GPz is constructed, so that the modification and replacement of the masonry processing process are guided, and on the basis of adjusting the energy structure, the masonry processing process is replaced, so that the carbon emission during masonry processing can be further reduced, and the economic cost of the replacement process is also reduced.
Detecting the masonry, establishing a component data set of the masonry, generating a component evaluation value Qtpj from the component data set, evaluating each component of the masonry by using the component evaluation value Qtpj, generating a second replacement sequence after sequencing, and replacing each component in sequence by using a masonry model according to the second replacement sequence until the carbon emission factor of the produced masonry is not reduced;
the fourth step comprises the following steps:
step 401, obtaining a plurality of components required by the production of the masonry according to the processing technology and the formula during the production of the masonry, and further inquiring and obtaining unit energy consumption coefficients Nxs of the various components during the production, wherein carbon fixation coefficients Zxs of the components are obtained when the masonry keeps the current mechanical properties; while maintaining the current construction cost of the masonry, determining the carbon emission generated when the masonry raw material is manufactured as a carbon emission coefficient Txs; after the parameters are summarized, a masonry component data set is established; when the existing manufacturing cost and mechanical property of the masonry are maintained, the carbon fixing capability of the masonry is obtained, and the negative carbon energy consumption of the masonry can be evaluated;
step 402, obtaining a component evaluation value Qtpj of the masonry from the masonry component data set, specifically as follows: the unit energy consumption coefficient Nxs, the carbon fixation coefficient Zxs and the carbon discharge coefficient Txs are subjected to dimensionless treatment according to the following formula:
the significance of the parameters is that the energy consumption factor is:carbon fixation factor, < >>Carbon factor elimination->，/>The value of the constant correction coefficient can be between 0 and 1.
It should be noted that, a person skilled in the art collects multiple sets of sample data and sets a corresponding preset scaling factor for each set of sample data; substituting the preset proportionality coefficient and the collected sample data into a formula, forming a ternary once equation set by any three formulas, screening the coefficient obtained by calculation and taking an average value to obtainIs a value of (2);
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding preset proportional coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
The component evaluation value Qtpj of the masonry is determined based on the established masonry component data set, so that the negative carbon energy consumption of the masonry is evaluated at the angle of the masonry components, relatively high-quality components and raw materials can be effectively screened, and the masonry is improved;
step 403, after obtaining component evaluation values Qtpj of N masonry, where N is a positive integer greater than 0, determining a portion smaller than a preset evaluation threshold, and sorting the portions smaller than the evaluation threshold to form a second replacement sequence; sequentially reducing the duty ratio of the low-order components according to the second replacement order, synchronously increasing the duty ratio of the high-order components, obtaining the replaced masonry components, and correcting the masonry model according to the replaced masonry components to form a first corrected masonry model;
wherein, the evaluation threshold value can be set by a user according to the expectations of masonry generation management and historical data;
step 404, under a preset environment, making a simulation test by the first corrected masonry model, judging whether the corrected masonry is available, if so, continuing to replace until the masonry mechanical property only meets the lowest available standard; determining the proportion of various components in the current first corrected masonry model, marking the corrected first corrected masonry model as a target masonry model, and determining the carbon emission of the current target masonry model;
in use, the contents of steps 401 to 404 are combined:
according to the component evaluation value Qtpj of the formed masonry, a second replacement sequence is built, a target masonry model is obtained, and whether the target masonry model with changed components is available is judged through multiple simulation analysis under a limited condition, so that carbon emission is reduced in the masonry components and raw material angles during masonry production, improvement of carbon energy consumption is achieved, and a new masonry with low carbon energy consumption can be obtained.
Step five, selecting the similar masonry with the same manufacturing cost as the current masonry, determining the carbon emission in the production process as standard carbon emission, and outputting the negative carbon energy consumption of the masonry if the carbon emission of the target masonry model is not higher than the standard carbon emission when the manufacturing cost of the similar masonry is kept not higher than the manufacturing cost of the similar masonry, so as to complete masonry carbon energy consumption accounting;
the fifth step comprises the following contents:
step 501, according to the mechanical properties and the corresponding manufacturing cost of the target masonry model, matching the masonry with the same specification as a standard masonry under the conditions of the same mechanical properties and low manufacturing cost, and generating a corresponding sample by the target masonry model to be used as a correction masonry;
step 502, performing a reliability test on the corrected masonry in a preset environment, obtaining the corresponding salt fog durability Ny and bearing capacity Cz, and performing dimensionless treatment to form a masonry reliability coefficient Qkxs by simultaneous combination, wherein the method specifically comprises the following steps:
wherein, the endurance factor is used for the high-speed motor,factor of bearing->，/>Is a constant correction coefficient;
it should be noted that, a person skilled in the art collects multiple sets of sample data and sets a corresponding preset scaling factor for each set of sample data; substituting the preset proportionality coefficient and the collected sample data into a formula, forming a binary once equation set by any two formulas, screening the calculated coefficient and taking an average value to obtainIs a value of (2);
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding preset proportional coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
Step 503, judging whether the corrected masonry meets the use requirement according to the relation between the reliability coefficient Qkxs of the corrected masonry and a preset reliability threshold value, and if so, respectively obtaining the carbon emission of the standard masonry and the carbon emission of the corrected masonry, and calculating to obtain a corresponding negative carbon energy consumption value; wherein the reliability threshold may be set by a user with reference to masonry production expectations and corresponding historical data.
In use, the contents of steps 501 to 503 are combined:
according to the masonry reliability coefficient Qkxs as a standard for judging whether the simulated masonry is available, if the simulated masonry sample is judged to be available, the produced masonry is modified on the basis of improving the energy structure, improving the process and the raw material composition, and finally the calculation of the carbon energy consumption of masonry processing is completed from multiple dimensions, the carbon negative energy consumption of the masonry is regulated under the limited condition, the carbon emission is reduced, and meanwhile, the sustainable use of the masonry in the preset environment can be continuously met; therefore, a multi-dimensional carbon emission data accounting method is constructed under the condition of maintaining the practicability and the economic cost of the masonry, the carbon emission of the existing masonry is further reduced, and the quality of the masonry is maintained.
Referring to fig. 2, the present invention provides a multi-dimensional carbon emission data collection accounting system based on enterprise data:
the model training unit is used for collecting the mechanical properties and the component data of the current masonry, constructing a masonry model and constructing a masonry processing model according to the processing process of the masonry;
the analysis unit is used for analyzing the CO in the masonry processing area when the masonry is in the processing state 2 The correlation of the concentration variation trend and the carbon emission factor is used for adjusting the energy consumption structure of masonry processing;
a process screening unit for orderly replacing the current processing process by the processing process in the processing process library according to the first replacement sequence in the masonry processing model, and screening out a target processing process according to the reduction ratio of the carbon emission factors;
a replacement unit for generating component evaluation values Qtpj from the component data sets, generating a second replacement sequence after sequencing, and sequentially replacing each component by using a masonry model according to the second replacement sequence until the carbon emission factor of the produced masonry is not reduced;
and the evaluation unit is used for determining standard carbon emission, and if the carbon emission of the target masonry model is not higher than the standard carbon emission when the manufacturing cost of the similar masonry is kept, outputting the carbon negative energy consumption of the masonry, so as to complete the masonry carbon energy consumption accounting.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application.
Claims (10)
1. The multi-dimensional carbon emission data acquisition accounting method based on enterprise data is characterized by comprising the following steps of: comprising the following steps:
according to the masonry processing process, determining the energy consumption structure and the corresponding carbon emission factor on each processing node, and when the masonry is in a processing state, according to the CO in the masonry processing area 2 The correlation of the concentration variation trend and the carbon emission factor is used for adjusting the energy consumption structure of masonry processing;
constructing a processing technology library, orderly replacing the current processing technology with the processing technology in the processing technology library according to a first replacement sequence in a masonry processing model, and screening out a target processing technology according to a carbon emission factor reduction ratio;
detecting the brickwork, establishing a component data set of the brickwork, generating a component evaluation value Qtpj from the component data set, and sequentially replacing each component by using a brickwork model according to a second replacement sequence generated after sequencing the component evaluation values Qtpj until the carbon emission factor of the produced brickwork is not reduced;
and selecting standard carbon emission, and outputting the carbon energy consumption of the corrected masonry corresponding to the target masonry model if the carbon emission of the target masonry model is not higher than the standard carbon emission when the manufacturing cost is not higher than that of the corresponding masonry, so as to complete the calculation of the carbon energy consumption.
2. The multi-dimensional carbon emission data accounting method according to claim 1, characterized in that:
presetting an application environment of the masonry, taking the preset environment as input, and performing simulation analysis on the use process of the masonry by using the trained masonry model to obtain a corresponding analysis result; judging whether the masonry sample is available in a preset environment according to the analysis result, if so, constructing a masonry processing model according to the production process of the masonry, and outputting the masonry processing model.
3. The multi-dimensional carbon emission data accounting method according to claim 1, characterized in that:
determining each processing node in the masonry processing process, and identifying the energy consumption structure on each processing node by combining a masonry processing model to determine a corresponding carbon emission factor; after the masonry production task is executed, the CO is obtained by analysis 2 Concentration trend of (2) for carbon emission factor and CO 2 And performing correlation analysis on the concentration change, acquiring a corresponding correlation coefficient R, and using the trained masonry processing model to adjust the energy structure on each processing node by combining the correlation coefficient R, and outputting the modified energy structure.
4. The multi-dimensional carbon emission data accounting method according to claim 1, characterized in that:
acquiring a plurality of masonry processing technologies, summarizing and constructing a masonry processing technology library, and after finishing modification of an energy structure, modifying a masonry processing model by using the modified energy structure to form a first masonry processing model; when the machining process is performed, curing process values GPz are generated, and the N curing process values GPz are ordered according to the size of the curing process values GPz, where N is a positive integer greater than 0, and a first replacement order is determined.
5. The multi-dimensional carbon emission data accounting method of claim 4, wherein:
performing simulation analysis on masonry processing by using a first masonry processing model, obtaining a carbon emission factor when a unit quantity of masonry is produced, taking the carbon emission factor as a first corrected carbon emission factor, and calculating the reduction ratio of the carbon emission factor compared with the original carbon emission factor; sequentially selecting processing processes from a masonry processing process library according to a first replacement sequence, and revising the first masonry processing model again to form N second masonry processing models, wherein N is a positive integer greater than 0.
6. The multi-dimensional carbon emission data accounting method of claim 5, wherein:
and performing simulation analysis on masonry processing by using a second masonry processing model, obtaining a carbon emission factor when producing a unit quantity of masonry, determining the carbon emission factor as a second modified carbon emission factor, calculating the reduction ratio of the second modified carbon emission factor compared with the first modified carbon emission factor, and determining a corresponding second masonry processing model by the maximum value in N reduction ratios, wherein N is a positive integer greater than 0, further determining a corresponding processing technology, and taking the corresponding processing technology as a target processing technology.
7. The multi-dimensional carbon emission data accounting method according to claim 1, characterized in that:
according to the processing technology and the formula in the production of the masonry, acquiring a plurality of components required in the production of the masonry, and establishing a masonry component data set; and acquiring component evaluation values Qtpj of the brickwork from the brickwork component data set, after acquiring N component evaluation values Qtpj of the brickwork, judging the parts smaller than a preset evaluation threshold value, and sequencing the parts smaller than the evaluation threshold value to form a second replacement sequence.
8. The multi-dimensional carbon emission data accounting method according to claim 7, characterized in that:
sequentially reducing the duty ratio of the low-order components according to the second replacement order, synchronously increasing the duty ratio of the high-order components, obtaining the replaced masonry components, and correcting the masonry model according to the replaced masonry components to form a first corrected masonry model;
and under a preset environment, a simulation test is made by the first corrected masonry model, whether the corrected masonry is available or not is judged, if so, replacement is continued until the corrected first corrected masonry model is marked as a target masonry model when the masonry mechanical property only meets the lowest available standard, and the carbon emission of the current target masonry model is determined.
9. The multi-dimensional carbon emission data accounting method according to claim 1, characterized in that:
under the conditions of same mechanical properties and low manufacturing cost, matching masonry with the same specification as a standard masonry, generating a corresponding sample by a target masonry model, and using the corresponding sample as a correction masonry;
and (3) performing a reliability test on the corrected masonry in a preset environment, obtaining a masonry reliability coefficient Qkxs according to test results, judging whether the corrected masonry meets the use requirement according to the relation between the corrected masonry and a preset reliability threshold value, and respectively obtaining carbon emission of the standard masonry and carbon emission of the corrected masonry and calculating to obtain a corresponding negative carbon energy consumption value if the corrected masonry meets the use requirement.
10. The multidimensional carbon emission data acquisition accounting system based on enterprise data is characterized in that: comprising the following steps:
the model training unit is used for collecting the mechanical properties and the component data of the current masonry, constructing a masonry model and constructing a masonry processing model according to the processing process of the masonry;
the analysis unit is used for analyzing the CO in the masonry processing area when the masonry is in the processing state 2 The correlation of the concentration variation trend and the carbon emission factor is used for adjusting the energy consumption structure of masonry processing;
a process screening unit for orderly replacing the current processing process by the processing process in the processing process library according to the first replacement sequence in the masonry processing model, and screening out a target processing process according to the reduction ratio of the carbon emission factors;
a replacement unit for generating component evaluation values Qtpj from the component data sets, generating a second replacement sequence after sequencing, and sequentially replacing each component by using a masonry model according to the second replacement sequence until the carbon emission factor of the produced masonry is not reduced;
and the evaluation unit is used for determining standard carbon emission, and if the carbon emission of the target masonry model is not higher than the standard carbon emission when the manufacturing cost of the similar masonry is kept, outputting the carbon negative energy consumption of the masonry, so as to complete the masonry carbon energy consumption accounting.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410074883.4A CN117592666B (en) | 2024-01-18 | 2024-01-18 | Multidimensional carbon emission data acquisition accounting system based on enterprise data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410074883.4A CN117592666B (en) | 2024-01-18 | 2024-01-18 | Multidimensional carbon emission data acquisition accounting system based on enterprise data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117592666A true CN117592666A (en) | 2024-02-23 |
| CN117592666B CN117592666B (en) | 2024-03-26 |
Family
ID=89910290
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410074883.4A Active CN117592666B (en) | 2024-01-18 | 2024-01-18 | Multidimensional carbon emission data acquisition accounting system based on enterprise data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117592666B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113869660A (en) * | 2021-09-06 | 2021-12-31 | 江苏荣辉信息科技有限公司 | Enterprise carbon data comprehensive intelligent management and control system based on big data analysis |
| CN114254891A (en) * | 2021-12-09 | 2022-03-29 | 北京科技大学 | Method and system for carbon emission reduction accounting in solid waste building material utilization |
| CN115391716A (en) * | 2022-08-29 | 2022-11-25 | 中建大成绿色智能科技(北京)有限责任公司 | Carbon emission metering platform system for whole building construction process |
| CN115879632A (en) * | 2022-12-20 | 2023-03-31 | 北京许继电气有限公司 | Data processing method for carbon emission measurement and calculation data of industrial enterprise |
| CN116151692A (en) * | 2023-04-17 | 2023-05-23 | 南京赛宝工业技术研究院有限公司 | Carbon emission evaluation system and method for life cycle of multi-source solid waste regenerated building masonry |
| US20230191277A1 (en) * | 2022-12-27 | 2023-06-22 | Beijing University Of Chemical Technology | Energy saving and emission reduction system for chemical separation and purification process |
| CN116562646A (en) * | 2023-05-11 | 2023-08-08 | 南京市产品质量监督检验院(南京市质量发展与先进技术应用研究院) | Carbon footprint calculation method for masonry material product |
| CN116579642A (en) * | 2023-03-30 | 2023-08-11 | 深圳市蕾奥规划设计咨询股份有限公司 | Full-period carbon evaluation method for urban updating project |
| EP4307189A1 (en) * | 2022-07-15 | 2024-01-17 | Mother Nature Resources Limited | System and method for simulating and predicting forecasts for carbon emissions |
-
2024
- 2024-01-18 CN CN202410074883.4A patent/CN117592666B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113869660A (en) * | 2021-09-06 | 2021-12-31 | 江苏荣辉信息科技有限公司 | Enterprise carbon data comprehensive intelligent management and control system based on big data analysis |
| CN114254891A (en) * | 2021-12-09 | 2022-03-29 | 北京科技大学 | Method and system for carbon emission reduction accounting in solid waste building material utilization |
| EP4307189A1 (en) * | 2022-07-15 | 2024-01-17 | Mother Nature Resources Limited | System and method for simulating and predicting forecasts for carbon emissions |
| CN115391716A (en) * | 2022-08-29 | 2022-11-25 | 中建大成绿色智能科技(北京)有限责任公司 | Carbon emission metering platform system for whole building construction process |
| CN115879632A (en) * | 2022-12-20 | 2023-03-31 | 北京许继电气有限公司 | Data processing method for carbon emission measurement and calculation data of industrial enterprise |
| US20230191277A1 (en) * | 2022-12-27 | 2023-06-22 | Beijing University Of Chemical Technology | Energy saving and emission reduction system for chemical separation and purification process |
| CN116579642A (en) * | 2023-03-30 | 2023-08-11 | 深圳市蕾奥规划设计咨询股份有限公司 | Full-period carbon evaluation method for urban updating project |
| CN116151692A (en) * | 2023-04-17 | 2023-05-23 | 南京赛宝工业技术研究院有限公司 | Carbon emission evaluation system and method for life cycle of multi-source solid waste regenerated building masonry |
| CN116562646A (en) * | 2023-05-11 | 2023-08-08 | 南京市产品质量监督检验院(南京市质量发展与先进技术应用研究院) | Carbon footprint calculation method for masonry material product |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117592666B (en) | 2024-03-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111985796B (en) | Method for predicting concrete structure durability based on random forest and intelligent algorithm | |
| AU2020101854A4 (en) | A method for predicting concrete durability based on data mining and artificial intelligence algorithm | |
| CN109598435B (en) | Power distribution network cable running state evaluation method and system | |
| CN112069567A (en) | Method for predicting compressive strength of concrete based on random forest and intelligent algorithm | |
| CN110929347A (en) | Hot continuous rolling strip steel convexity prediction method based on gradient lifting tree model | |
| CN109376925B (en) | Dynamic self-adaptive optimization method for node flow of water supply pipe network | |
| CN112990500B (en) | Transformer area line loss analysis method and system based on improved weighted gray correlation analysis | |
| CN110716512A (en) | Environmental protection equipment performance prediction method based on coal-fired power plant operation data | |
| CN111507518A (en) | Wavelet neural network concrete impermeability prediction method based on random forest | |
| CN117035673A (en) | Engineering project construction risk management method and management system | |
| CN113888011A (en) | Chicken coop internal environment evaluation method based on grey correlation analysis and analytic hierarchy process | |
| CN114970688A (en) | Landslide monitoring data preprocessing method based on LSTMAD algorithm and Hermite interpolation method | |
| CN116844670A (en) | CTGAN-based method for predicting concrete ultimate compressive strength | |
| CN114925891A (en) | Water consumption trend prediction method and system based on wavelet analysis and mixed model | |
| CN117592666B (en) | Multidimensional carbon emission data acquisition accounting system based on enterprise data | |
| CN113359435B (en) | Correction method for dynamic working condition data of thermal power generating unit | |
| CN113793057A (en) | Building bidding and tendering data generation method based on regression analysis model | |
| CN116739147A (en) | BIM-based intelligent energy consumption management and dynamic carbon emission calculation combined method and system | |
| CN110648023A (en) | Method for establishing data prediction model based on quadratic exponential smoothing improved GM (1,1) | |
| CN115983455A (en) | Indoor environment quality prediction method | |
| CN114970813A (en) | Dissolved oxygen concentration data restoration and prediction method | |
| CN110991841B (en) | Analysis method for nonstandard behaviors in bidding process based on AI technology | |
| CN114970311A (en) | Method for establishing remote module life prediction model and life prediction method | |
| CN111625525A (en) | Environmental data repairing/filling method and system | |
| CN111861264A (en) | Method for predicting concrete durability based on data mining and intelligent algorithm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |