CN116151692A - Carbon emission evaluation system and method for life cycle of multi-source solid waste regenerated building masonry - Google Patents
Carbon emission evaluation system and method for life cycle of multi-source solid waste regenerated building masonry Download PDFInfo
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Abstract
The invention discloses a carbon emission evaluation system and a method for a life cycle of a multi-source solid waste regenerated building masonry, which relate to the technical field of carbon emission evaluation and collect carbon emission data of all links in the whole life cycle of the solid waste regenerated building masonry by arranging a data collection module; setting a data simulation module to input building material proportion data and generating quality evaluation data of the solid waste regenerated building masonry molding; setting a data processing module to calculate the total carbon emission generated in the whole life cycle of the building masonry regenerated by solid waste per unit according to the input material proportion data; setting a data evaluation module to generate a feasibility strategy for the solid waste regenerated building masonry according to quality evaluation data and total carbon emission of the solid waste regenerated building masonry; and the carbon emission of the life cycle of the solid waste regenerated building masonry is quantitatively evaluated in advance, so that the trial-and-error cost is reduced.
Description
Technical Field
The invention belongs to the technical field of multi-source solid waste regenerated building masonry, relates to a carbon emission evaluation technology, and particularly relates to a carbon emission evaluation system and a method for life cycle of multi-source solid waste regenerated building masonry.
Background
The solid waste regenerated building masonry is a building material which is newly developed in recent years, and is an environment-friendly building material prepared by regenerating solid waste. Compared with the traditional building materials, the solid waste regenerated building masonry reduces the pollution of wastes to the environment, can effectively utilize resources, improves the utilization efficiency of the resources, has good heat insulation and sound insulation properties, can reduce the energy consumption of the building and the cost of the building materials, thereby achieving the effect of reducing the total cost of the building;
however, at present, the solid waste regenerated building masonry has some problems in the application process, and one important problem is how to effectively control carbon emission in the life cycle of the solid waste regenerated building masonry; the production process of the solid waste regenerated building masonry is an energy intensive process, and a large amount of carbon emission is generated from the collection, transportation and processing of raw materials into building materials and the processing of the building materials into the solid waste regenerated building masonry to the dismantling of the solid waste regenerated building masonry, and the carbon emission generated in the process is closely related to the proportion of the raw materials, so that a scheme for pre-evaluating the total carbon emission generated in the whole life cycle of the solid waste regenerated building masonry according to the proportion of the raw materials is needed to evaluate whether the total carbon emission is feasible or not on the premise of ensuring the strength, the hardness and the durability of the solid waste regenerated building masonry;
Therefore, the invention provides a system and a method for carbon emission of life cycle of building masonry by taking solid waste regenerated building masonry as main building material.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the invention provides the carbon emission evaluation system and the method for the life cycle of the multi-source solid waste regenerated building masonry, and the carbon emission evaluation system and the method for the life cycle of the multi-source solid waste regenerated building masonry carry out quantitative evaluation on the carbon emission of the life cycle of the solid waste regenerated building masonry in advance, so that the trial-and-error cost is reduced.
In order to achieve the above purpose, the invention provides a carbon emission assessment method for life cycle of a multi-source solid waste regenerated building masonry, which comprises the following steps:
raw material basic data of each raw material required by solid waste regeneration building masonry is collected in advance;
the method comprises the steps of collecting transport tool data used in each link in the whole life cycle of the solid waste regenerated building masonry in advance;
collecting raw material collection data generated by collecting raw materials in advance;
collecting processing data for processing each raw material in advance;
pre-collecting construction data generated when building materials are processed into solid waste regenerated building masonry;
Collecting waste data generated when the solid waste regenerated building masonry is removed;
building material proportioning data are input, and the solid waste regenerated building masonry is simulated by using model construction software according to the material proportioning data, so that quality evaluation data of the solid waste regenerated building masonry molding body are generated;
calculating the total carbon emission generated in the whole life cycle of the per-unit solid waste regenerated building masonry according to the input material proportioning data, raw material basic data, transport tool data, raw material acquisition data, processing data, construction data and waste data;
and generating a feasibility strategy for the solid waste regenerated building masonry according to the quality evaluation data and the total carbon emission of the solid waste regenerated building masonry.
Further, the raw material basis data includes a type, an acquisition site, an acquisition mode, an acquisition efficiency, a processing factory location, a solid waste regenerated building masonry production factory location, a building site location of the solid waste regenerated building masonry, and a route and a distance from the acquisition site to the processing factory, from the processing factory to the solid waste regenerated building masonry production factory, and from the solid waste regenerated building masonry production factory to the building site for each raw material.
Further, the transport means data comprises transport mode distribution data of each transport mode and transport unit carbon emission of each transport mode used by the first transport link, the second transport link and the third transport link;
the transportation mode distribution data are distribution proportion of each transportation mode, maximum weight of each transportation and unit transportation mileage of each transportation in a first transportation link, a second transportation link and a third transportation link; wherein the distribution ratio comprises a first distribution ratio, a second distribution ratio and a third distribution ratio; the unit transportation mileage comprises a first transportation mileage, a second transportation mileage and a third transportation mileage;
the number of the transportation mode is marked as i, i=1, 2,3,4; marking the maximum weight carried by each transport of the ith transport as Wi; the number of the raw material type is marked as k; the number of the building material is denoted p; marking a first distribution proportion of the ith transportation mode for the kth raw material in the first transportation link and a first unit transportation mileage as Qki and Ski respectively; marking a second distribution proportion of the ith transportation mode for the p-th building material in the second transportation link and a second unit transportation mileage as QPI and Spi respectively; marking a third distribution proportion of the i-th transportation mode of the transportation solid waste regenerated building masonry in a third transportation link and a third unit transportation mileage as Qi and Si respectively; the calculation formula of the first unit transportation mileage Ski is Ski=sk Qki; the calculation formula of the second unit transportation mileage Spi is spi=sp×qpi; the calculation formula of the third unit transportation mileage Si is si=s×qi; wherein sk, sp and s are the distance of transporting the raw material k to the corresponding processing factory, the distance of transporting the building material to the solid waste regenerated building masonry production factory, and the distance of transporting the solid waste regenerated building masonry to the building site, respectively;
The transportation unit carbon emission is carbon emission generated by each transportation mode in the process of loading unit weight of goods and running unit distance; the carbon emission amount generated by the ith transportation mode and the goods with the weight Wi per kilometer distance is marked as Cyi; the transportation unit carbon emission amount of the ith transportation means is denoted as CTi, and the calculation formula of the transportation unit carbon emission amount CTi is
。
Further, the raw material collection data comprises a raw material collection place, a collection mode of raw materials, the proportion of each collection mode and the collection unit carbon emission generated by each collection mode;
wherein the proportion of each collecting mode is the ratio of the weight of each raw material collected by using various collecting modes to the total weight of each raw material; the number of the acquisition mode is marked as j; the ratio of the kth raw material in the jth collection mode is marked as Okj;
wherein the collection unit carbon emission is the carbon emission generated by collecting the raw materials with unit weight in each collection mode; the carbon emission amount produced by the jth collection means for collecting the kth raw material per unit weight is referred to as collection unit carbon emission amount, and the collection unit carbon emission amount is labeled as CGkj.
Further, the processing data includes a processing unit carbon emission amount and a processing loss ratio generated by processing the raw material;
the processing unit carbon emission amount is a carbon emission amount generated by processing a kth raw material of unit weight; the weight of the building material is lost in the processing process of the kth raw material with the processing loss proportion as the unit weight; marking the processing unit carbon emission as CPk; the processing loss ratio is labeled Lk.
Further, the construction data comprises a neural network model for training the carbon emission of a construction unit according to the building material proportioning data, and the training method of the neural network model comprises the following steps: taking historical data of the weight of various building materials used in the construction process by adopting the same construction technology as input, taking predicted carbon emission as output, taking carbon emission detected in the construction process as a prediction target, taking the prediction accuracy as a training target, and training a neural network model; presetting a prediction accuracy threshold, stopping training when the prediction accuracy reaches the prediction accuracy threshold, and marking the neural network model after training as M1.
Further, the waste data comprises a neural network model for generating waste unit carbon emission through training according to the aging degree, the hardness value and the strength value, and the training method of the neural network model comprises the following steps: taking ageing degree, hardness value and strength value historical data of the solid waste regenerated building masonry in the same dismantling mode as input, taking predicted carbon emission as output, taking carbon emission detected in the dismantling process as a prediction target, taking the prediction accuracy as a training target, and training a neural network model; presetting a prediction accuracy threshold, stopping training when the prediction accuracy reaches the prediction accuracy threshold, and marking the neural network model after training as M2.
Further, the material proportioning data is the proportion of various building materials preset by building staff;
the quality evaluation data comprise strength values, hardness values and durability of the solid waste regenerated building masonry;
the quality evaluation data of the solid waste regenerated building masonry molded body comprises the following steps:
step S1: the proportion of each building material is input into modeling software, and the modeling software outputs a three-dimensional model of the solid waste regenerated building masonry;
Step S2: in the simulated three-dimensional model, estimating the hardness value and the strength value of the generated solid waste regenerated building masonry according to the proportion of building materials, the mechanical parameters and the material characteristics of each building material; marking the intensity value as E; marking the hardness value as Y;
step S3: in the simulated three-dimensional model, evaluating the material durability of the generated solid waste regenerated building masonry according to the material characteristics of the building material and the construction process of the building material;
step S4: and (3) carrying out reevaluation on the basis of the durability of the materials according to the construction process of the solid waste regenerated building masonry and the historical experience of the building environment conditions, so as to obtain the building durability.
Further, calculating the total carbon emissions generated per unit of solid waste regenerated building masonry throughout the life cycle comprises the steps of:
step Q1: marking the proportion of the p-th building material as Hp; for the kth raw material for processing the kth building material, calculating the proportion Hk of the kth raw material; wherein, the calculation formula of the mixture ratio Hk of the kth raw material is
The method comprises the steps of carrying out a first treatment on the surface of the Wherein Dpk represents the specific gravity of the kth raw material contained in the p-th building material;
step Q2: calculating the total collection carbon emission CN1 consumed by collecting all raw materials; wherein, the calculation formula of the total collected carbon emission CN1 is as follows 
；
Step Q3: calculating the total transportation carbon emission CN2 generated in the first transportation link, the second transportation link and the third transportation link; wherein, the calculation formula of the total transportation carbon emission CN2 is as follows
；
Step Q4: calculating the total processed carbon emission CN3 for processing the raw materials; wherein, the calculation formula of the total processed carbon emission CN3 is as follows
；
Step Q5: taking the proportion of the building materials as input, inputting the input into the neural network model M1, and obtaining output of the carbon emission of the construction unit; marking the output as CN4;
step Q6: setting an expected dismantling time according to the expected use time of the solid waste regenerated building masonry, estimating the aging degree of the solid waste regenerated building masonry according to the durability, the expected dismantling time and the environmental conditions, and taking the aging degree, the strength value and the hardness value as the input of a neural network model M2 to obtain the output of the waste unit carbon emission; marking the output as CN5;
step Q7: calculating the total carbon emission C generated in the whole life cycle of the solid waste regenerated building masonry per unit; wherein, the calculation formula of the total carbon emission amount C is c=cn1+cn2+cn3+cn4+cn 5.
Further, the method for generating the feasibility strategy for the solid waste regenerated building masonry is as follows:
Dividing the durability into a plurality of durability levels according to practical experience in advance, and setting a durability coefficient for each durability level; marking the durability level of the generated solid waste regenerated building masonry as m, and marking the durability coefficient of the m-th level durability level as Am; presetting a hardness minimum threshold y, a strength minimum threshold e and a total carbon emission maximum threshold c according to practical experience; calculating a feasibility coefficient U of the solid waste regenerated building masonry: the calculation formula of the feasibility coefficient U is as follows:
presetting a feasibility coefficient threshold u; and marking the material proportion data of the solid waste regenerated building masonry as infeasible when E < E, Y < Y, C < C or U < U.
The invention also provides a carbon emission evaluation system based on the carbon emission evaluation method of the life cycle of the multi-source solid waste regenerated building masonry, which comprises a data collection module, a data simulation module, a data processing module and a data evaluation module;
the data collection module is used for collecting carbon emission data of all links in the whole life cycle of the solid waste regenerated building masonry, and sending the carbon emission data to the data processing module; the carbon emission data comprises raw material basic data, transport tool data, raw material acquisition data, processing data, construction data and waste data;
The data simulation module is used for inputting building material proportioning data, simulating the solid waste regenerated building masonry by using model construction software according to the material proportioning data, generating quality evaluation data of the solid waste regenerated building masonry molding, sending the material proportioning data and the quality evaluation data of the solid waste regenerated building masonry to the data processing module, and sending the quality evaluation data to the data evaluation module;
the data processing module is used for calculating the total carbon emission generated in the whole life cycle of the per-unit solid waste regenerated building masonry according to the input material proportion data, raw material basic data, transport tool data, raw material acquisition data, processing data, construction data and waste data; the total carbon emission of the unit solid waste regenerated building masonry is sent to a data evaluation module;
the data evaluation module is used for generating a feasibility strategy for the solid waste regenerated building masonry according to the quality evaluation data and the total carbon emission of the solid waste regenerated building masonry.
Compared with the prior art, the invention has the beneficial effects that:
(1) The invention establishes a complete carbon emission assessment method for each link generating carbon emission in the whole life cycle of the solid waste regenerated building masonry; the beneficial effect of effectively quantifying the carbon emission of the solid waste regenerated building masonry is achieved;
(2) According to the invention, building material proportion is input into modeling software, and a three-dimensional model of the solid waste regenerated building masonry is generated by the modeling software, so that durability, strength value and hardness value data are obtained; calculating the carbon emission generated in each link respectively, and summarizing to obtain the total carbon emission in the whole life cycle; the quantitative evaluation of the carbon emission of the whole life cycle of the multi-source solid waste regenerated building masonry is realized;
(3) According to the pre-input building material proportion, the strength value, the hardness value, the durability and the carbon emission of the whole life cycle of the solid waste regenerated building masonry are estimated, and the feasibility of the building material proportion is estimated accordingly, so that the feasibility of a scheme can be estimated before the solid waste regenerated building masonry is built, and the trial-and-error cost is greatly reduced.
Drawings
FIG. 1 is a block diagram of a carbon emission evaluation system for life cycle of a multi-source solid waste regenerated building masonry of the present invention.
FIG. 2 is a flow chart of a carbon emission assessment method of the life cycle of a multi-source solid waste regenerated building masonry of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, 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.
Example 1
As shown in fig. 1, the carbon emission evaluation system for life cycle of a multi-source solid waste regenerated building masonry according to the embodiment includes a data collection module, a data simulation module, a data processing module and a data evaluation module;
the data collection module is mainly used for collecting carbon emission data of all links in the whole life cycle of the solid waste regenerated building masonry, and sending the carbon emission data to the data processing module; the carbon emission data comprises raw material basic data, transport tool data, raw material acquisition data, processing data, construction data and waste data;
the data simulation module is mainly used for inputting building material proportioning data, simulating the solid waste regenerated building masonry by using model construction software according to the material proportioning data, and generating quality evaluation data of the solid waste regenerated building masonry molding;
the data processing module is mainly used for calculating the total carbon emission generated in the whole life cycle of the regenerated building masonry of each unit solid waste according to the input material proportion data;
the data evaluation module is mainly used for generating a feasibility strategy for the solid waste regenerated building masonry according to quality evaluation data and total carbon emission of the solid waste regenerated building masonry;
It can be understood that the life cycle of the solid waste regenerated building masonry comprises links of raw material collection and processing, production and manufacture, transportation and logistics, building construction, use stage, maintenance and repair, demolition and waste treatment and the like; wherein, in the use stage and the maintenance and repair stage, the building masonry itself does not or rarely produces carbon emissions, and therefore, the carbon emissions produced in the use stage and the maintenance and repair stage are not counted into the evaluation system;
the data collection module comprises a raw material data collection unit, a transportation data collection unit, a collection data collection unit, a processing data collection unit, a construction data collection unit and a waste data collection unit;
the raw material data collection unit is mainly used for collecting basic data of each raw material required by the solid waste regenerated building masonry in advance;
it is understood that the main raw materials required for the solid waste regenerated building masonry include solid waste, industrial waste residue, conventional building materials and the like; wherein the solid waste comprises waste building materials, ceramics, limestone, glass and the like; industrial waste residues comprise fly ash, coal gangue, steel slag, calcium powder and the like; conventional building materials include sand, cobble, cement, and the like; the raw materials are required to be transported from a production place to different processing factories to generate the formed building materials, for example, waste glass is required to be processed into glass plates;
In a preferred embodiment, the raw material basis data includes the type of each raw material, the collection site, the collection mode, the collection efficiency, the processing plant location, the solid waste recycled building masonry production plant location, the building site location of the solid waste recycled building masonry, and the route and distance from the collection site to the processing plant, from the processing plant to the solid waste recycled building masonry production plant, and from the solid waste recycled building masonry production plant to the building site;
the transportation data collection unit is mainly used for collecting transportation tool data used in each link in the whole life cycle of the solid waste regenerated building masonry in advance;
it will be appreciated that in the life cycle of the solid waste recycled building masonry, the transportation of raw materials to the factory, the transportation of processed building materials to the solid waste recycled building masonry production factory and the transportation of produced solid waste recycled building masonry to the building site all require the use of transportation means, and most of the transportation means generate carbon emissions;
in a preferred embodiment, the transportation of raw materials to the processing plant is referred to as a first transportation link, the transportation of processed building materials to the solid waste recycled building masonry production plant is referred to as a second transportation link, and the transportation of produced solid waste recycled building masonry to the building site is referred to as a third transportation link;
The transport means data comprise transport mode distribution data of each transport mode used by the first transport link, the second transport link and the third transport link and transport unit carbon emission of each transport mode;
wherein the transportation mode comprises, but is not limited to, road transportation, railway transportation, water transportation, air transportation and the like;
the transportation mode distribution data are distribution proportion of each transportation mode, maximum weight of each transportation and unit transportation mileage of each transportation in a first transportation link, a second transportation link and a third transportation link; wherein the distribution ratio comprises a first distribution ratio, a second distribution ratio and a third distribution ratio; the unit transportation mileage comprises a first transportation mileage, a second transportation mileage and a third transportation mileage; it can be understood that under the condition that the raw material collecting place, the raw material processing place, the building material processing place and the building site position are all determined, the unit transportation mileage can be calculated by calculating the distribution proportion of each transportation mode;
the distribution proportion of the transportation modes is the proportion of each transportation mode in the transportation of raw materials, the transportation of building materials and the transportation of solid waste regenerated building masonry in the first transportation link, the second transportation link and the third transportation link; for example: the method comprises the steps of transporting waste glass in raw materials in a way of 80% railway and 20% highway transportation;
The number of the transportation mode is marked as i, i=1, 2,3,4; marking the maximum weight carried by each transport of the ith transport as Wi; the number of the raw material type is marked as k; the number of the building material is denoted p; marking a first distribution proportion of the ith transportation mode for the kth raw material in the first transportation link and a first unit transportation mileage as Qki and Ski respectively; marking a second distribution proportion of the ith transportation mode for the p-th building material in the second transportation link and a second unit transportation mileage as QPI and Spi respectively; marking a third distribution proportion of the i-th transportation mode of the transportation solid waste regenerated building masonry in a third transportation link and a third unit transportation mileage as Qi and Si respectively; the calculation formula of the first unit transportation mileage Ski is Ski=sk Qki; the calculation formula of the second unit transportation mileage Spi is spi=sp×qpi; the calculation formula of the third unit transportation mileage Si is si=s×qi; wherein sk, sp and s are the distance to transport the raw material k to the corresponding processing factory, the distance to transport the building material to the solid waste regenerated building masonry production factory, and the distance to transport the solid waste regenerated building masonry to the building site, respectively;
The transportation unit carbon emission is carbon emission generated by each transportation mode in the process of loading unit weight of goods and running unit distance; it will be appreciated that the carbon emissions for each mode of transportation may be calculated by: the goods with weight Wi are transported in the ith transportation mode and are transported per kilometer distanceThe amount of carbon emissions produced is labeled Cyi; the transportation unit carbon emission amount of the ith transportation means is denoted as CTi, and the calculation formula of the transportation unit carbon emission amount CTi is
；
The collecting data collecting unit is mainly used for collecting raw material collecting data generated by collecting raw materials in advance;
in a preferred embodiment, the raw material collection data includes a raw material collection location, a collection mode for raw materials, a specific gravity occupied by each collection mode, and a collection unit carbon emission amount generated by each collection mode;
the collection mode comprises, but is not limited to, digging, blasting, felling and the like;
wherein the proportion of each collecting mode is the ratio of the weight of each raw material collected by using various collecting modes to the total weight of each raw material; the number of the acquisition mode is marked as j; the ratio of the kth raw material in the jth collection mode is marked as Okj;
Wherein the collection unit carbon emission is the carbon emission generated by collecting the raw materials with unit weight in each collection mode; specifically, the carbon emission amount generated by the kth raw material per unit weight collected in the jth collection mode is called as collection unit carbon emission amount, and the collection unit carbon emission amount is marked as CGkj; it can be understood that the carbon emission amount generated by different collection modes is different due to different collection tools; according to historical collection experience, the carbon emission generated by the raw materials with unit weight collected by each collection mode can be collected;
the processing data collection unit is mainly used for collecting processing data for processing each raw material in advance;
in a preferred embodiment, the process data includes process unit carbon emissions and process loss fractions resulting from processing the raw materials;
in a preferred embodiment, the process unit carbon emission is the carbon emission produced by processing the kth raw material per unit weight; the weight of the building material is lost in the processing process of the kth raw material with the processing loss proportion as the unit weight; marking the processing unit carbon emission as CPk; marking the processing loss ratio as Lk; it will be appreciated that the amount of carbon emissions and the proportion of processing lost per unit weight of each raw material can be collected based on the actual raw material processing technique and processing experience;
The construction data collection unit is mainly used for collecting construction data generated when building materials are processed into solid waste regenerated building masonry;
in a preferred embodiment, the construction data includes a neural network model for training the construction unit carbon emission according to the building material proportioning data, and the training method of the neural network model is as follows: taking historical data of the weight of various building materials used in the construction process by adopting the same construction technology as input, taking predicted carbon emission as output, taking carbon emission detected in the construction process as a prediction target, taking the prediction accuracy as a training target, and training a neural network model; presetting a prediction accuracy threshold, stopping training when the prediction accuracy reaches the prediction accuracy threshold, and marking the neural network model after training as M1;
the waste data collecting unit is mainly used for collecting waste data generated when the solid waste regenerated building masonry is removed;
it will be appreciated that the time and machine power required to remove the solid waste regenerated building masonry is related to the degree of aging, hardness and strength of the solid waste regenerated building masonry itself, wherein the degree of aging is related to durability, and the durability, hardness and strength are related to raw material proportions;
In a preferred embodiment, the discard data comprises a neural network model trained to generate discard unit carbon emissions according to the aging degree, the hardness value and the strength value, and the training method of the neural network model is as follows: taking ageing degree, hardness value and strength value historical data of the solid waste regenerated building masonry in the same dismantling mode as input, taking predicted carbon emission as output, taking carbon emission detected in the dismantling process as a prediction target, taking the prediction accuracy as a training target, and training a neural network model; presetting a prediction accuracy threshold, stopping training when the prediction accuracy reaches the prediction accuracy threshold, and marking the neural network model after training as M2;
the data collection module sends the collected raw material basic data, transport tool data, raw material acquisition data, processing data, construction data and waste data to the data processing module;
wherein the material proportioning data is the proportion of various building materials preset by building staff;
wherein the quality evaluation data comprises strength values, hardness values and durability of the solid waste regenerated building masonry;
Further, the data simulation module generates quality evaluation data of the solid waste regenerated building masonry molding body, and the quality evaluation data comprises the following steps:
step S1: the proportion of each building material is input into modeling software, and the modeling software outputs a three-dimensional model of the solid waste regenerated building masonry; preferably, the modeling software can be CAD software or three-dimensional modeling software;
step S2: in the simulated three-dimensional model, estimating the hardness value and the strength value of the generated solid waste regenerated building masonry according to the proportion of building materials, the mechanical parameters and the material characteristics of each building material; marking the intensity value as E; marking the hardness value as Y;
step S3: further, in the simulated three-dimensional model, evaluating the durability of the material of the generated solid waste regenerated building masonry according to the material characteristics of the building material and the construction process of the building material; the durability of the material is in the range of service life;
step S4: still further, according to the construction process of the solid waste regenerated building masonry and the history experience of the building environmental conditions, reevaluation is performed on the basis of the material durability, and the building durability is obtained; the building durability is in the range of service life;
The data simulation module sends the material proportion data and the quality evaluation data of the solid waste regenerated building masonry to the data processing module, and sends the quality evaluation data to the data evaluation module;
in a preferred embodiment, the data processing module calculates the total carbon emissions generated per unit of solid waste regenerated building masonry over the entire life cycle, comprising the steps of:
step Q1: marking the proportion of the p-th building material as Hp; for the kth raw material for processing the kth building material, calculating the proportion Hk of the kth raw material; wherein, the calculation formula of the mixture ratio Hk of the kth raw material is
The method comprises the steps of carrying out a first treatment on the surface of the Wherein Dpk represents the specific gravity of the kth raw material contained in the p-th building material;
step Q2: calculating the total collection carbon emission CN1 consumed by collecting all raw materials; wherein, the calculation formula of the total collected carbon emission CN1 is as follows
；
Step Q3: calculating the total transportation carbon emission CN2 generated in the first transportation link, the second transportation link and the third transportation link; wherein, the calculation formula of the total transportation carbon emission CN2 is as follows
；
Step Q4: calculating the total processed carbon emission CN3 for processing the raw materials; wherein, the calculation formula of the total processed carbon emission CN3 is as follows 
；
Step Q5: taking the proportion of the building materials as input, inputting the input into the neural network model M1, and obtaining output of the carbon emission of the construction unit; marking the output as CN4;
step Q6: setting an expected dismantling time according to the expected use time of the solid waste regenerated building masonry, estimating the aging degree of the solid waste regenerated building masonry according to the durability, the expected dismantling time and the environmental conditions, and taking the aging degree, the strength value and the hardness value as the input of a neural network model M2 to obtain the output of the waste unit carbon emission; marking the output as CN5;
step Q7: calculating the total carbon emission C generated in the whole life cycle of the solid waste regenerated building masonry per unit; wherein, the calculation formula of the total carbon emission C is C=CN1+CN2+CN3+CN4+CN5;
the data processing module sends the total carbon emission C of the unit solid waste regenerated building masonry to the data evaluation module;
in a preferred embodiment, the data evaluation module generates a feasibility policy for the solid waste regenerated building masonry by:
dividing the durability into a plurality of durability levels according to practical experience in advance, and setting a durability coefficient for each durability level; marking the durability level of the generated solid waste regenerated building masonry as m, and marking the durability coefficient of the m-th level durability level as Am; presetting a hardness minimum threshold y, a strength minimum threshold e and a total carbon emission maximum threshold c according to practical experience; calculating a feasibility coefficient U of the solid waste regenerated building masonry: the calculation formula of the feasibility coefficient U is as follows:
presetting a feasibility coefficient threshold u; and marking the material proportion data of the solid waste regenerated building masonry as infeasible when E < E, Y < Y, C < C or U < U.
Example two
As shown in fig. 2, the carbon emission evaluation system for life cycle of the multi-source solid waste regenerated building masonry according to the present embodiment includes the following steps:
step one: collecting basic data of each raw material required by regenerating the building masonry by solid waste in advance;
step two: the method comprises the steps of collecting transport tool data used in each link in the whole life cycle of the solid waste regenerated building masonry in advance;
step three: collecting raw material collection data generated by collecting raw materials in advance;
step four: collecting processing data for processing each raw material in advance;
step five: pre-collecting construction data generated when building materials are processed into solid waste regenerated building masonry;
step six: collecting waste data generated when the solid waste regenerated building masonry is removed;
step seven: building material proportioning data are input, and the solid waste regenerated building masonry is simulated by using model construction software according to the material proportioning data, so that quality evaluation data of the solid waste regenerated building masonry molding body are generated;
Step eight: calculating the total carbon emission generated in the whole life cycle of the per-unit solid waste regenerated building masonry according to the input material proportioning data, raw material basic data, transport tool data, raw material acquisition data, processing data, construction data and waste data;
step nine: generating a feasibility strategy for the solid waste regenerated building masonry according to the quality evaluation data and the total carbon emission of the solid waste regenerated building masonry;
wherein the raw material basic data comprises the type, the collection place, the collection mode, the collection efficiency, the processing factory position, the solid waste regenerated building masonry production factory position, the building site position of the solid waste regenerated building masonry, and the route and the distance from the collection place to the processing factory, from the processing factory to the solid waste regenerated building masonry production factory and from the solid waste regenerated building masonry production factory to the building site of each raw material;
the method comprises the steps of (1) conveying raw materials to a processing factory to form a first conveying link, conveying processed building materials to a solid waste regenerated building masonry production factory to form a second conveying link, and conveying produced solid waste regenerated building masonry to a building site to form a third conveying link;
The transport means data comprise transport mode distribution data of each transport mode and transport unit carbon emission of each transport mode used by the first transport link, the second transport link and the third transport link;
wherein the transportation mode comprises, but is not limited to, road transportation, railway transportation, water transportation, air transportation and the like;
the transportation mode distribution data are distribution proportion of each transportation mode, maximum weight of each transportation and unit transportation mileage of each transportation in a first transportation link, a second transportation link and a third transportation link; wherein the distribution ratio comprises a first distribution ratio, a second distribution ratio and a third distribution ratio; the unit transportation mileage comprises a first transportation mileage, a second transportation mileage and a third transportation mileage; it can be understood that under the condition that the raw material collecting place, the raw material processing place, the building material processing place and the building site position are all determined, the unit transportation mileage can be calculated by calculating the distribution proportion of each transportation mode;
it should be noted that, the distribution ratio of the transportation modes is the ratio of each transportation mode in the transportation of raw materials, the transportation of building materials and the transportation of solid waste regenerated building masonry, for example: the method comprises the steps of transporting waste glass in raw materials in a way of 80% railway and 20% highway transportation;
The number of the transportation mode is marked as i, i=1, 2,3,4; marking the maximum weight carried by each transport of the ith transport as Wi; the number of the raw material type is marked as k; the number of the building material is denoted p; marking a first distribution proportion of the ith transportation mode for the kth raw material in the first transportation link and a first unit transportation mileage as Qki and Ski respectively; marking a second distribution proportion of the ith transportation mode for the p-th building material in the second transportation link and a second unit transportation mileage as QPI and Spi respectively; marking a third distribution proportion of the i-th transportation mode of the transportation solid waste regenerated building masonry in a third transportation link and a third unit transportation mileage as Qi and Si respectively; the calculation formula of the first unit transportation mileage Ski is Ski=sk Qki; the calculation formula of the second unit transportation mileage Spi is spi=sp×qpi; the calculation formula of the third unit transportation mileage Si is si=s×qi; wherein sk, sp and s are the distance to transport the raw material k to the corresponding processing factory, the distance to transport the building material to the solid waste regenerated building masonry production factory, and the distance to transport the solid waste regenerated building masonry to the building site, respectively;
Wherein the transportation unit carbon emission is generated by loading unit weight of goods in each transportation mode and running a unit distance; it will be appreciated that the carbon emissions for each mode of transportation may be calculated by: the carbon emission amount generated by the ith transportation mode and the goods with the weight Wi per kilometer distance is marked as Cyi; the transportation unit carbon emission amount of the ith transportation means is denoted as CTi, and the calculation formula of the transportation unit carbon emission amount CTi is
；
The raw material collection data comprise raw material collection places, raw material collection modes, proportion occupied by each collection mode and collection unit carbon emission generated by each collection mode;
the collection mode comprises, but is not limited to, digging, blasting, felling and the like;
wherein the proportion of each collecting mode is the ratio of the weight of each raw material collected by using various collecting modes to the total weight of each raw material; the number of the acquisition mode is marked as j; the ratio of the kth raw material in the jth collection mode is marked as Okj;
wherein the collection unit carbon emission is the carbon emission generated by collecting the raw materials with unit weight in each collection mode; specifically, the carbon emission amount generated by the kth raw material per unit weight collected in the jth collection mode is called as collection unit carbon emission amount, and the collection unit carbon emission amount is marked as CGkj; it can be understood that the carbon emission amount generated by different collection modes is different due to different collection tools; according to historical collection experience, the carbon emission generated by the raw materials with unit weight collected by each collection mode can be collected;
Wherein the processing data comprises a processing unit carbon emission amount and a processing loss ratio generated by processing the raw materials;
in a preferred embodiment, the process unit carbon emission is the carbon emission produced by processing the kth raw material per unit weight; the weight of the building material is lost in the processing process of the kth raw material with the processing loss proportion as the unit weight; marking the processing unit carbon emission as CPk; marking the processing loss ratio as Lk; it will be appreciated that the amount of carbon emissions and the proportion of processing lost per unit weight of each raw material can be collected based on the actual raw material processing technique and processing experience;
the construction data comprises a neural network model for training the carbon emission of a construction unit according to the building material proportioning data, and the training method of the neural network model comprises the following steps: taking historical data of the weight of various building materials used in the construction process by adopting the same construction technology as input, taking predicted carbon emission as output, taking carbon emission detected in the construction process as a prediction target, taking the prediction accuracy as a training target, and training a neural network model; presetting a prediction accuracy threshold, stopping training when the prediction accuracy reaches the prediction accuracy threshold, and marking the neural network model after training as M1;
The waste data comprises a neural network model for training and generating waste unit carbon emission according to the aging degree, the hardness value and the strength value, and the training method of the neural network model comprises the following steps: taking ageing degree, hardness value and strength value historical data of the solid waste regenerated building masonry in the same dismantling mode as input, taking predicted carbon emission as output, taking carbon emission detected in the dismantling process as a prediction target, taking the prediction accuracy as a training target, and training a neural network model; presetting a prediction accuracy threshold, stopping training when the prediction accuracy reaches the prediction accuracy threshold, and marking the neural network model after training as M2;
wherein the material proportioning data is the proportion of various building materials preset by building staff;
wherein the quality evaluation data comprises strength values, hardness values and durability of the solid waste regenerated building masonry;
the quality evaluation data of the solid waste regenerated building masonry molded body comprises the following steps:
step S1: the proportion of each building material is input into modeling software, and the modeling software outputs a three-dimensional model of the solid waste regenerated building masonry; preferably, the modeling software can be CAD software or three-dimensional modeling software;
Step S2: in the simulated three-dimensional model, estimating the hardness value and the strength value of the generated solid waste regenerated building masonry according to the proportion of building materials, the mechanical parameters and the material characteristics of each building material; marking the intensity value as E; marking the hardness value as Y;
step S3: further, in the simulated three-dimensional model, evaluating the durability of the material of the generated solid waste regenerated building masonry according to the material characteristics of the building material and the construction process of the building material; the durability of the material is in the range of service life;
step S4: still further, according to the construction process of the solid waste regenerated building masonry and the history experience of the building environmental conditions, reevaluation is performed on the basis of the material durability, and the building durability is obtained; the building durability is in the range of service life;
calculating the total carbon emission produced per unit of solid waste regenerated building masonry throughout the life cycle, comprising the steps of:
step Q1: will beThe proportion of the p-th building material is marked as Hp; for the kth raw material for processing the kth building material, calculating the proportion Hk of the kth raw material; wherein, the calculation formula of the mixture ratio Hk of the kth raw material is 
The method comprises the steps of carrying out a first treatment on the surface of the Wherein Dpk represents the specific gravity of the kth raw material contained in the p-th building material;
step Q2: calculating the total collection carbon emission CN1 consumed by collecting all raw materials; wherein, the calculation formula of the total collected carbon emission CN1 is as follows
；
Step Q3: calculating the total transportation carbon emission CN2 generated in the first transportation link, the second transportation link and the third transportation link; wherein, the calculation formula of the total transportation carbon emission CN2 is as follows
；
Step Q4: calculating the total processed carbon emission CN3 for processing the raw materials; wherein, the calculation formula of the total processed carbon emission CN3 is as follows
；
Step Q5: taking the proportion of the building materials as input, inputting the input into the neural network model M1, and obtaining output of the carbon emission of the construction unit; marking the output as CN4;
step Q6: setting an expected dismantling time according to the expected use time of the solid waste regenerated building masonry, estimating the aging degree of the solid waste regenerated building masonry according to the durability, the expected dismantling time and the environmental conditions, and taking the aging degree, the strength value and the hardness value as the input of a neural network model M2 to obtain the output of the waste unit carbon emission; marking the output as CN5;
Step Q7: calculating the total carbon emission C generated in the whole life cycle of the solid waste regenerated building masonry per unit; wherein, the calculation formula of the total carbon emission C is C=CN1+CN2+CN3+CN4+CN5;
the method for generating the feasibility strategy for the solid waste regenerated building masonry is as follows:
dividing the durability into a plurality of durability levels according to practical experience in advance, and setting a durability coefficient for each durability level; marking the durability level of the generated solid waste regenerated building masonry as m, and marking the durability coefficient of the m-th level durability level as Am; presetting a hardness minimum threshold y, a strength minimum threshold e and a total carbon emission maximum threshold c according to practical experience; calculating a feasibility coefficient U of the solid waste regenerated building masonry: the calculation formula of the feasibility coefficient U is as follows:
wherein the method comprises the steps of
、/>
And +.>
Is a preset proportionality coefficient;
presetting a feasibility coefficient threshold u; and marking the material proportion data of the solid waste regenerated building masonry as infeasible when E < E, Y < Y, C < C or U < U.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (11)
1. The carbon emission assessment method for the life cycle of the multi-source solid waste regenerated building masonry is characterized by comprising the following steps of:
raw material basic data of each raw material required by solid waste regeneration building masonry is collected in advance;
the method comprises the steps of collecting transport tool data used in each link in the whole life cycle of the solid waste regenerated building masonry in advance;
collecting raw material collection data generated by collecting raw materials in advance;
collecting processing data for processing each raw material in advance;
pre-collecting construction data generated when building materials are processed into solid waste regenerated building masonry;
collecting waste data generated when the solid waste regenerated building masonry is removed;
building material proportioning data are input, and the solid waste regenerated building masonry is simulated by using model construction software according to the material proportioning data, so that quality evaluation data of the solid waste regenerated building masonry molding body are generated;
Calculating the total carbon emission generated in the whole life cycle of the per-unit solid waste regenerated building masonry according to the input material proportioning data, raw material basic data, transport tool data, raw material acquisition data, processing data, construction data and waste data;
and generating a feasibility strategy for the solid waste regenerated building masonry according to the quality evaluation data and the total carbon emission of the solid waste regenerated building masonry.
2. The method of claim 1, wherein the raw material basis data includes a type of each raw material, a collection site, a collection mode, collection efficiency, a processing plant location, a solid waste regenerated building masonry production plant location, a building site location of a solid waste regenerated building masonry, and a route and distance from the collection site to the processing plant, from the processing plant to the solid waste regenerated building masonry production plant, and from the solid waste regenerated building masonry production plant to the building site.
3. The method for evaluating carbon emissions of a life cycle of a multi-source solid waste regenerated building masonry according to claim 1, wherein the transportation means data includes transportation means allocation data of each transportation means and transportation unit carbon emission amount of each transportation means used by the first transportation means, the second transportation means and the third transportation means;
The transportation mode distribution data are distribution proportion of each transportation mode, maximum weight of each transportation and unit transportation mileage of each transportation in a first transportation link, a second transportation link and a third transportation link; wherein the distribution ratio comprises a first distribution ratio, a second distribution ratio and a third distribution ratio; the unit transportation mileage comprises a first transportation mileage, a second transportation mileage and a third transportation mileage;
the number of the transportation mode is marked as i, i=1, 2,3,4; marking the maximum weight carried by each transport of the ith transport as Wi; the number of the raw material type is marked as k; the number of the building material is denoted p; marking a first distribution proportion of the ith transportation mode for the kth raw material in the first transportation link and a first unit transportation mileage as Qki and Ski respectively; marking a second distribution proportion of the ith transportation mode for the p-th building material in the second transportation link and a second unit transportation mileage as QPI and Spi respectively; marking a third distribution proportion of the i-th transportation mode of the transportation solid waste regenerated building masonry in a third transportation link and a third unit transportation mileage as Qi and Si respectively; the calculation formula of the first unit transportation mileage Ski is Ski=sk Qki; the calculation formula of the second unit transportation mileage Spi is spi=sp×qpi; the calculation formula of the third unit transportation mileage Si is si=s×qi; wherein sk, sp and s are the distance of transporting the raw material k to the corresponding processing factory, the distance of transporting the building material to the solid waste regenerated building masonry production factory, and the distance of transporting the solid waste regenerated building masonry to the building site, respectively;
The carbon emission amount of the transportation unit is that of each transportationThe mode is to load the unit weight of goods and drive the carbon emission amount generated in the unit distance; the carbon emission amount generated by the ith transportation mode and the goods with the weight Wi per kilometer distance is marked as Cyi; the transportation unit carbon emission amount of the ith transportation means is denoted as CTi, and the calculation formula of the transportation unit carbon emission amount CTi is
。
4. The method for evaluating carbon emission of life cycle of multi-source solid waste regenerated building masonry according to claim 1, wherein the raw material collection data includes raw material collection sites, collection modes for raw materials, proportion of each collection mode and collection unit carbon emission generated by each collection mode;
wherein the proportion of each collecting mode is the ratio of the weight of each raw material collected by using various collecting modes to the total weight of each raw material; the number of the acquisition mode is marked as j; the ratio of the kth raw material in the jth collection mode is marked as Okj;
wherein the collection unit carbon emission is the carbon emission generated by collecting the raw materials with unit weight in each collection mode; the carbon emission amount produced by the jth collection means for collecting the kth raw material per unit weight is referred to as collection unit carbon emission amount, and the collection unit carbon emission amount is labeled as CGkj.
5. The method for evaluating carbon emissions of a life cycle of a multi-source solid waste regenerated building masonry according to claim 1, wherein the processing data includes a processing unit carbon emission amount and a processing loss ratio generated by processing raw materials;
the processing unit carbon emission amount is a carbon emission amount generated by processing a kth raw material of unit weight; the weight of the building material is lost in the processing process of the kth raw material with the processing loss proportion as the unit weight; marking the processing unit carbon emission as CPk; the processing loss ratio is labeled Lk.
6. The method for evaluating carbon emissions of a life cycle of a multi-source solid waste regenerated building masonry according to claim 1, wherein the construction data includes a neural network model for training a construction unit carbon emission according to building material proportioning data, and the training method of the neural network model is as follows: taking historical data of the weight of various building materials used in the construction process by adopting the same construction technology as input, taking predicted carbon emission as output, taking carbon emission detected in the construction process as a prediction target, taking the prediction accuracy as a training target, and training a neural network model; presetting a prediction accuracy threshold, stopping training when the prediction accuracy reaches the prediction accuracy threshold, and marking the neural network model after training as M1.
7. The method for evaluating carbon emissions during life cycle of a multi-source solid waste regenerated building masonry according to claim 6, wherein the waste data comprises a neural network model for generating waste unit carbon emissions by training according to aging degree, hardness value and strength value, and the training method of the neural network model is as follows: taking ageing degree, hardness value and strength value historical data of the solid waste regenerated building masonry in the same dismantling mode as input, taking predicted carbon emission as output, taking carbon emission detected in the dismantling process as a prediction target, taking the prediction accuracy as a training target, and training a neural network model; presetting a prediction accuracy threshold, stopping training when the prediction accuracy reaches the prediction accuracy threshold, and marking the neural network model after training as M2.
8. The method for evaluating carbon emissions of a life cycle of a multi-source solid waste regenerated building masonry according to claim 7, wherein the material proportioning data is a proportioning of each building material preset by a building staff;
the quality evaluation data comprise strength values, hardness values and durability of the solid waste regenerated building masonry;
The quality evaluation data of the solid waste regenerated building masonry molded body comprises the following steps:
step S1: the proportion of each building material is input into modeling software, and the modeling software outputs a three-dimensional model of the solid waste regenerated building masonry;
step S2: in the simulated three-dimensional model, estimating the hardness value and the strength value of the generated solid waste regenerated building masonry according to the proportion of building materials, the mechanical parameters and the material characteristics of each building material; marking the intensity value as E; marking the hardness value as Y;
step S3: in the simulated three-dimensional model, evaluating the material durability of the generated solid waste regenerated building masonry according to the material characteristics of the building material and the construction process of the building material;
step S4: and (3) carrying out reevaluation on the basis of the durability of the materials according to the construction process of the solid waste regenerated building masonry and the historical experience of the building environment conditions, so as to obtain the building durability.
9. The method for evaluating carbon emissions of a life cycle of a multi-source solid waste regenerated building masonry according to claim 8, wherein calculating total carbon emissions generated per unit solid waste regenerated building masonry in the whole life cycle comprises the steps of:
Step Q1: marking the proportion of the p-th building material as Hp; for the kth raw material for processing the kth building material, calculating the proportion Hk of the kth raw material; wherein, the calculation formula of the mixture ratio Hk of the kth raw material is
The method comprises the steps of carrying out a first treatment on the surface of the Wherein Dpk represents the specific gravity of the kth raw material contained in the p-th building material;
step Q2: calculating the total collection carbon emission CN1 consumed by collecting all raw materials; wherein, the calculation formula of the total collected carbon emission CN1 is as follows
；
Step Q3: calculating the total transportation carbon emission CN2 generated in the first transportation link, the second transportation link and the third transportation link; wherein, the calculation formula of the total transportation carbon emission CN2 is as follows
；
Step Q4: calculating the total processed carbon emission CN3 for processing the raw materials; wherein, the calculation formula of the total processed carbon emission CN3 is as follows
；
Step Q5: taking the proportion of the building materials as input, inputting the input into the neural network model M1, and obtaining output of the carbon emission of the construction unit; marking the output as CN4;
step Q6: setting an expected dismantling time according to the expected use time of the solid waste regenerated building masonry, estimating the aging degree of the solid waste regenerated building masonry according to the durability, the expected dismantling time and the environmental conditions, and taking the aging degree, the strength value and the hardness value as the input of a neural network model M2 to obtain the output of the waste unit carbon emission; marking the output as CN5;
Step Q7: calculating the total carbon emission C generated in the whole life cycle of the solid waste regenerated building masonry per unit; wherein, the calculation formula of the total carbon emission amount C is c=cn1+cn2+cn3+cn4+cn 5.
10. The method for evaluating carbon emissions of a life cycle of a multi-source solid waste regenerated building masonry according to claim 9, wherein the means for generating a feasibility strategy for the solid waste regenerated building masonry is:
dividing the durability into a plurality of durability levels according to practical experience in advance, and setting a durability coefficient for each durability level; marking the durability level of the generated solid waste regenerated building masonry as m, and marking the durability coefficient of the m-th level durability level as Am; presetting a hardness minimum threshold y, a strength minimum threshold e and a total carbon emission maximum threshold c according to practical experience; calculating a feasibility coefficient U of the solid waste regenerated building masonry: the calculation formula of the feasibility coefficient U is as follows:
presetting a feasibility coefficient threshold u; and marking the material proportion data of the solid waste regenerated building masonry as infeasible when E < E, Y < Y, C < C or U < U.
11. A carbon emission assessment system based on the carbon emission assessment method of the life cycle of the multi-source solid waste regenerated building masonry according to any one of claims 1 to 10, characterized by comprising a data collection module, a data simulation module, a data processing module and a data assessment module;
The data collection module is used for collecting carbon emission data of all links in the whole life cycle of the solid waste regenerated building masonry, and sending the carbon emission data to the data processing module; the carbon emission data comprises raw material basic data, transport tool data, raw material acquisition data, processing data, construction data and waste data;
the data simulation module is used for inputting building material proportioning data, simulating the solid waste regenerated building masonry by using model construction software according to the material proportioning data, generating quality evaluation data of the solid waste regenerated building masonry molding, sending the material proportioning data and the quality evaluation data of the solid waste regenerated building masonry to the data processing module, and sending the quality evaluation data to the data evaluation module;
the data processing module is used for calculating the total carbon emission generated in the whole life cycle of the per-unit solid waste regenerated building masonry according to the input material proportion data, raw material basic data, transport tool data, raw material acquisition data, processing data, construction data and waste data; the total carbon emission of the unit solid waste regenerated building masonry is sent to a data evaluation module;
The data evaluation module is used for generating a feasibility strategy for the solid waste regenerated building masonry according to the quality evaluation data and the total carbon emission of the solid waste regenerated building masonry.
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