CN115660899A - Method and apparatus for estimating carbon emissions during construction of a building - Google Patents
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Abstract
The present disclosure relates to a method and apparatus for estimating carbon emissions during the construction phase of a building. The method comprises the following steps: determining a usage classification of a building to be evaluated; determining the specific classification of the building to be estimated according to the purpose classification of the building to be estimated; according to the concrete classification of the building to be estimated, acquiring unit use data of the building to be estimated on various materials from a material use database; and determining the carbon emission amount of the building to be estimated according to the unit use data of the plurality of materials, the design information of the building to be estimated and the carbon emission factors of the plurality of materials. According to the method for estimating the carbon emission in the building construction stage, the specific classification of the building to be estimated can be used for acquiring the unit use data of various materials, so that the carbon emission can be estimated, and the problem that the carbon emission is difficult to calculate due to the fact that the building material consumption data is lacked in the initial design stage can be effectively solved.
Description
Technical Field
The disclosure relates to the technical field of building carbon emission, in particular to a method and a device for estimating carbon emission in a building construction stage.
Background
The carbon emission of the whole life cycle of the building comprises carbon emission of a building construction stage, an operation stage and a dismantling stage. Wherein the construction phase includes carbon emissions from the building material production process and the transportation process, building material usage data is typically required to calculate the carbon emissions.
However, in the preliminary design stage of a building, under the condition that no material list table exists, the amount data of the building materials is lacked, and the calculation of the carbon emission amount in the construction stage is difficult.
Disclosure of Invention
The present disclosure provides a method and apparatus for estimating carbon emissions during the construction of a building.
According to an aspect of the present disclosure, there is provided a method of estimating carbon emissions during a construction phase of a building, including:
determining a usage classification of the building to be evaluated;
determining the specific classification of the building to be estimated according to the usage classification of the building to be estimated;
according to the concrete classification of the building to be estimated, acquiring unit use data of the building to be estimated on various materials in a material use database;
and determining the carbon emission amount for building the building to be estimated according to the unit use data of the plurality of materials, the design information of the building to be estimated and the carbon emission factors of the plurality of materials.
In one possible implementation, the method further includes:
and carrying out statistics on the unit usage of the building samples belonging to the same specific classification on the multiple materials to obtain the unit usage data of the multiple specifically classified buildings on the multiple materials.
In one possible implementation, the method for obtaining unit usage data of multiple materials by multiple specifically classified buildings includes:
acquiring a plurality of building samples which belong to the same specific classification and have construction time belonging to a preset time period;
and determining the average value of the unit usage of the plurality of building samples to the plurality of materials, and obtaining the unit usage data of the plurality of specifically classified buildings to the plurality of materials.
In one possible implementation, the method for obtaining unit usage data of multiple materials by multiple specifically classified buildings includes:
acquiring a single building sample of which the construction time belongs to a preset time period;
and determining the unit usage of the plurality of materials by the single building sample as the unit usage data of the plurality of materials in the specific classification to which the single building sample belongs.
In one possible implementation, determining the carbon emission amount of the building to be estimated according to the unit usage data of the plurality of materials, the design information of the building to be estimated, and the carbon emission factors of the plurality of materials includes:
determining the carbon emission amount of a unit building area according to the unit use data of the multiple materials and the carbon emission factors of the multiple materials;
determining the building area of the building to be estimated according to the design information of the building to be estimated;
and determining the carbon emission of the building to be estimated according to the building area and the carbon emission of the unit building area.
In one possible implementation, determining the carbon emission amount per unit building area according to the unit usage data of the plurality of materials and the carbon emission factors of the plurality of materials comprises:
according to the formula
Determining the carbon emission per unit building area, wherein m i Is the ithSpecific use data of the seed Material, EF i Is the carbon emission factor of the ith material, n is the total number of material classes, and i is a positive integer less than or equal to n.
In one possible implementation, determining the carbon emission of the building to be estimated according to the building area and the carbon emission per unit building area includes:
and determining the product of the building area and the carbon emission per unit building area as the carbon emission of the building to be estimated.
According to another aspect of the present disclosure, there is provided an apparatus for estimating carbon emissions during a construction stage of a building, including:
the purpose classification module is used for determining the purpose classification of the building to be estimated;
the specific classification module is used for determining the specific classification of the building to be estimated according to the purpose classification of the building to be estimated;
the data acquisition module is used for acquiring unit use data of the building to be estimated on various materials in the material usage database according to the specific classification of the building to be estimated;
and the estimation module is used for determining the carbon emission of the building to be estimated according to the unit use data of the materials, the design information of the building to be estimated and the carbon emission factors of the materials.
In one possible implementation, the apparatus further includes: and the material usage database construction module is used for counting the unit usage of the building samples belonging to the same specific classification on the multiple materials to obtain the unit usage data of the multiple specifically classified buildings on the multiple materials.
In one possible implementation, the material usage database building module is further configured to:
acquiring a plurality of building samples belonging to the same specific classification and with construction time belonging to a preset time period;
and determining the average value of the unit usage of the plurality of building samples to the plurality of materials, and obtaining the unit usage data of the plurality of specifically classified buildings to the plurality of materials.
In one possible implementation, the material usage database building module is further configured to:
acquiring a single building sample of which the construction time belongs to a preset time period;
and determining the unit usage of the single building sample for the plurality of materials as the unit usage data of the plurality of materials in the specific classification to which the single building sample belongs.
In one possible implementation, the estimation module is further configured to:
determining the carbon emission amount of a unit building area according to the unit use data of the multiple materials and the carbon emission factors of the multiple materials;
determining the building area of the building to be estimated according to the design information of the building to be estimated;
and determining the carbon emission of the building to be estimated according to the building area and the carbon emission of the unit building area.
In one possible implementation, the estimation module is further configured to:
according to the formula
Determining the carbon emission per building area, wherein m i Data for the unit use of the i-th material, EF i Is the carbon emission factor of the ith material, n is the total number of material classes, and i is a positive integer less than or equal to n.
In one possible implementation, the estimation module is further configured to:
and determining the product of the building area and the carbon emission per unit building area as the carbon emission of the building to be estimated.
According to another aspect of the present disclosure, there is provided an apparatus for estimating carbon emissions during a construction stage of a building, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the memory-stored instructions to perform the above-described method.
According to another aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described method.
According to the method for estimating the carbon emission in the building construction stage, the material usage database can be constructed by utilizing the recent building sample data, so that the problem that the difference between the materials and construction technologies of buildings early in the year and the current is large, and the statistical result of the material usage data is inaccurate is avoided. In the estimation process, unit use data of various materials can be obtained by utilizing the concrete classification of the building to be estimated, so that the carbon emission is estimated, and the problem that the carbon emission is difficult to calculate due to the lack of building material use data in the initial design stage can be effectively solved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. Other features and aspects of the present disclosure will become more apparent from the following detailed description of exemplary embodiments with reference to the attached drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure,
FIG. 1 illustrates a flow chart of a method of estimating carbon emissions during a building construction phase according to an embodiment of the present disclosure;
FIG. 2 shows a schematic diagram of a material usage database according to an embodiment of the present disclosure;
FIG. 3 shows a block diagram of an apparatus for estimating carbon emissions during a building construction phase according to an embodiment of the present disclosure
FIG. 4 illustrates a block diagram of an apparatus for estimating carbon emissions during the construction of a building, according to an embodiment of the disclosure;
fig. 5 shows a block diagram of an electronic device in accordance with an embodiment of the disclosure.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
The term "and/or" herein is merely an association relationship describing an associated object, and means that there may be three relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of a, B, and C, and may mean including any one or more elements selected from the group consisting of a, B, and C.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
In order to solve the problems existing in the background art, the disclosure provides a method for estimating carbon emission in a building construction stage, which can obtain unit use data of multiple materials by utilizing specific classification of a building to be estimated, and further estimate the carbon emission, and can effectively solve the problem that the carbon emission is difficult to calculate due to the lack of building material usage data in an initial design stage.
Fig. 1 illustrates a flowchart of a method of estimating carbon emissions during a building construction phase according to an embodiment of the present disclosure, the method including, as shown in fig. 1:
s11, determining the use classification of the building to be estimated;
s12, determining the specific classification of the building to be estimated according to the purpose classification of the building to be estimated;
s13, acquiring unit use data of the building to be estimated on various materials in a material usage database according to the concrete classification of the building to be estimated;
and S14, determining the carbon emission for building the building to be estimated according to the unit use data of the materials, the design information of the building to be estimated and the carbon emission factors of the materials.
In one possible implementation, a material usage database may be first created in which unit usage data for various types of buildings for multiple materials, i.e., usage of multiple materials per building area, is maintained.
In one possible implementation, the unit usage data for multiple materials for multiple categories of buildings may be stored in the material usage database in multiple categories. For example, the buildings can be classified according to the purposes of the buildings, and a plurality of specific classifications can be further included in each purpose classification, so that the unit use data of the buildings of each specific classification for a plurality of materials can be counted and stored in the material usage database.
In one possible implementation, the unit usage data for multiple materials for each particular category of building may be counted for later use. The method further comprises the following steps: and carrying out statistics on the unit usage of the building samples belonging to the same specific classification on the multiple materials to obtain the unit usage data of the multiple specifically classified buildings on the multiple materials.
In a possible implementation manner, in the statistical process, the building sample of each specific category may be searched, and the usage data of the building sample for multiple materials may be obtained, so that the unit usage data of each specific category of building for multiple materials may be obtained, for example, the total usage of a certain building for multiple materials may be obtained, and the total usage may be divided by the building area, and the unit usage data of the building for multiple materials may be obtained, and further, the unit usage data of the building for multiple materials may be classified and stored, for example, in a specific category of a specific usage category.
In one possible implementation, the method for obtaining unit usage data of multiple materials by multiple specifically classified buildings includes: acquiring a plurality of building samples which belong to the same specific classification and have construction time belonging to a preset time period; and determining the average value of the unit usage of the plurality of building samples to the plurality of materials, and obtaining the unit usage data of the plurality of specifically classified buildings to the plurality of materials.
In a possible implementation manner, for a specific classification under a certain usage classification, a plurality of building samples of which the construction time belongs to a preset time period can be searched, and unit usage data of the plurality of building samples for a plurality of materials can be obtained. The preset time period may be a recent time period, for example, last ten years, last five years, etc., so that a situation that the difference between the materials and construction technology of buildings early in the year and the current is large and the statistical result of the material use data is inaccurate can be avoided. The preset time period is not limited by the present disclosure.
In one possible implementation, the average of the unit usage of the plurality of construction samples for the plurality of materials, for example, the average of the unit usage of the plurality of construction samples for cement, the average of the unit usage of the plurality of construction samples for rebar, and the like, may be calculated, such that the average of the unit usage of each material is used as the unit usage data of the specifically classified construction for the plurality of materials and stored in the material usage database.
In one possible implementation, the method for obtaining unit usage data of multiple materials by multiple specifically classified buildings includes: acquiring a single building sample of which the construction time belongs to a preset time period; and determining the unit usage of the single building sample for the plurality of materials as the unit usage data of the plurality of materials in the specific classification to which the single building sample belongs.
In one possible implementation, if the sample size is insufficient, or the difference between samples is too large to be of statistical value, the unit usage data for multiple materials for a representative single construction sample may also be used as the unit usage data for multiple materials described in the specific category to which it belongs. A single representative building sample whose build time falls within a preset time period may be selected and its material usage data, and thus its unit usage data for multiple materials, may be obtained and stored in a material usage database.
In one possible implementation, the unit usage data for multiple materials for various specific categories of buildings may be determined using any of the above two approaches. Thus, a material usage database can be obtained which stores a plurality of usage categories, each usage category including unit usage data of a plurality of materials for a plurality of specifically classified buildings, so as to facilitate query in a subsequent usage process.
FIG. 2 shows a schematic diagram of a material usage database according to an embodiment of the present disclosure.
In an example, the usage categories may include "residential building," "office building," "commercial building," "educational building," and the like, wherein the "residential building" usage category may include a variety of specific categories, such as residential buildings, apartment buildings, villas, and the like. The "office building" usage category may include a variety of specific categories, such as office buildings, general office (assembly) and the like. The "commercial building" usage category may include a variety of specific categories, such as commercial complexes, stand-alone malls, commercial buildings (steel structures), and the like. The "educational building" usage category may include a variety of specific categories, e.g., kindergarten, teaching building, dormitory, and the like. In addition, the usage classification can also comprise 'hotel buildings', and the like, and the specific classification mode of the usage classification and the specific classification is not limited by the disclosure.
In examples, the material may include various types of concrete, steel bars, section steel, cement, ready mixed mortar, sand, insulation, blocks, bricks, windows, doors, ceramics, paint, cables, and pipes, etc., and the present disclosure is not limited to a specific type of material.
In one possible implementation, after obtaining the above material usage database, when estimating the carbon emission of the building to be estimated at the construction stage, the material usage database may be used to obtain data required for estimation.
In one possible implementation, in step S11, the usage classification of the building to be estimated may be determined first, and in step S12, the specific classification of the building to be estimated may be determined, and in step S13, a search may be performed in the material usage database based on the usage classification and the specific classification determined above, so as to obtain specific data. For example, if the building to be estimated is a residential building, the usage classification thereof may be determined as a residential building, and in the category of residential buildings, the specific classification thereof may be determined as a residential building, so that in step S13, data in the specific classification of residential building — residential building may be searched from the material usage database, that is, unit usage data of the building to be estimated for a plurality of materials may be obtained.
In one possible implementation, after the unit usage data of the estimated building for multiple materials is obtained, the data can be used in step S14 to estimate the carbon emission of the building to be estimated. Step S14 may include: determining the carbon emission amount of a unit building area according to the unit use data of the multiple materials and the carbon emission factors of the multiple materials; determining the building area of the building to be estimated according to the design information of the building to be estimated; and determining the carbon emission of the building to be estimated according to the building area and the carbon emission of the unit building area.
In one possible implementation, the data stored in the material usage database is usage data per unit, i.e., usage of various materials per unit building area, and therefore, the carbon emission per unit building area may be calculated first.
In one possible implementation, determining the carbon emission amount per unit building area according to the unit usage data of the plurality of materials and the carbon emission factors of the plurality of materials comprises: the carbon emission per unit building area is determined according to equation (1),
wherein m is i Data for the unit use of the i-th material, EF i Is the carbon emission factor of the ith material, n is the total number of material classes, and i is a positive integer less than or equal to n. That is, the carbon emission of a certain material per unit building area can be obtained by multiplying the amount of the material by the carbon emission factor of the material, and the carbon emission of all materials per unit building area can be obtained by summing the carbon emissions of all types of materials per unit building area, i.e., the carbon emission per unit building area.
In one possible implementation, design information of the building to be estimated may be queried and the building area of the building to be estimated may be determined. Further, the carbon emission of the building to be estimated can be solved based on the building area and the carbon emission per unit building area, and the step can include: and determining the product of the building area and the carbon emission per unit building area as the carbon emission of the building to be estimated, namely the total carbon emission of the building to be estimated in the construction stage.
According to the method for estimating the carbon emission in the building construction stage, the data of the recent building samples can be used for constructing the material usage database, so that the situation that the difference between the materials and the construction technology of the building which is too early in the year and the current is large, and the statistical result of the material usage data is inaccurate is avoided. In the estimation process, unit use data of various materials can be obtained by utilizing the concrete classification of the building to be estimated, and then the carbon emission is estimated, so that the problem that the carbon emission is difficult to calculate due to the fact that the building material consumption data is lacked in the initial design stage can be effectively solved.
Fig. 3 is a block diagram illustrating an apparatus for estimating carbon emissions during a construction stage of a building according to an embodiment of the present disclosure, the apparatus including, as shown in fig. 3:
a usage classification module 11 for determining a usage classification of the building to be estimated;
the specific classification module 12 is used for determining the specific classification of the building to be estimated according to the purpose classification of the building to be estimated;
the data acquisition module 13 is used for acquiring unit use data of the building to be estimated on various materials in the material usage database according to the specific classification of the building to be estimated;
and the estimation module 14 is used for determining the carbon emission of the building to be estimated according to the unit use data of the materials, the design information of the building to be estimated and the carbon emission factors of the materials.
In one possible implementation, the apparatus further includes: and the material usage database construction module is used for counting the unit usage of the building samples belonging to the same specific classification on various materials to obtain the unit usage data of the buildings of the specific classifications on the various materials.
In one possible implementation, the material usage database building module is further configured to:
acquiring a plurality of building samples which belong to the same specific classification and have construction time belonging to a preset time period;
and determining the average value of the unit usage of the plurality of building samples to the plurality of materials, and obtaining the unit usage data of the plurality of specifically classified buildings to the plurality of materials.
In one possible implementation, the material usage database building module is further configured to:
acquiring a single building sample of which the construction time belongs to a preset time period;
and determining the unit usage of the single building sample for the plurality of materials as the unit usage data of the plurality of materials in the specific classification to which the single building sample belongs.
In one possible implementation, the estimation module is further configured to:
determining the carbon emission amount of a unit building area according to the unit use data of the multiple materials and the carbon emission factors of the multiple materials;
determining the building area of the building to be estimated according to the design information of the building to be estimated;
and determining the carbon emission of the building to be estimated according to the building area and the carbon emission of the unit building area.
In one possible implementation, the estimation module is further configured to:
according to the formula
Determining the carbon emission per building area, wherein m i Data for the unit use of the i-th material, EF i Is the carbon emission factor of the ith material, n is the total number of material classes, and i is a positive integer less than or equal to n.
In one possible implementation, the estimation module is further configured to:
and determining the product of the building area and the carbon emission per unit building area as the carbon emission of the building to be estimated.
In some embodiments, functions of or modules included in the apparatus provided in the embodiments of the present disclosure may be used to execute the method described in the above method embodiments, and for specific implementation, reference may be made to the description of the above method embodiments, and for brevity, details are not described here again.
Embodiments of the present disclosure also provide a computer-readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the above-mentioned method. The computer readable storage medium may be a non-volatile computer readable storage medium.
An embodiment of the present disclosure further provides an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the memory-stored instructions to perform the above-described method.
The disclosed embodiments also provide a computer program product including computer readable code, and when the computer readable code runs on a device, a processor in the device executes instructions for implementing the cloud application management method provided in any of the above embodiments.
The embodiments of the present disclosure also provide another computer program product for storing computer readable instructions, where the instructions, when executed, cause a computer to perform the operations of the cloud application management method provided in any of the embodiments.
The electronic device may be provided as a terminal, server, or other form of device.
Fig. 4 illustrates a block diagram of an apparatus 800 for estimating carbon emissions during the construction phase of a building, according to an embodiment of the disclosure. For example, the device 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, and the like.
Referring to fig. 4, device 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input/output interface 812, a sensor component 814, and a communication component 816.
The processing component 802 generally controls overall operation of the device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 may include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operation at the device 800. Examples of such data include instructions for any application or method operating on device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power component 806 provides power to the various components of the device 800. Power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for device 800.
The multimedia component 808 includes a screen that provides an output interface between the device 800 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense an edge of a touch or slide action, but also detect a duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 800 is in an operational mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.
The input/output interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the device 800. For example, the sensor assembly 814 may detect the open/closed state of the device 800, the relative positioning of components, such as a display and keypad of the device 800, the sensor assembly 814 may also detect a change in the position of the device 800 or components within the device 800, the presence or absence of user contact with the device 800, orientation or acceleration/deceleration of the device 800, and a change in the temperature of the device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
In an exemplary embodiment, the device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium, such as the memory 804, is also provided that includes computer program instructions executable by the processor 820 of the device 800 to perform the above-described methods.
Fig. 5 illustrates a block diagram of an electronic device 1900 in accordance with an embodiment of the disclosure. For example, the electronic device 1900 may be provided as a server. Referring to fig. 5, electronic device 1900 includes a processing unit 1922, which further includes one or more processors and memory resources, represented by storage unit 1932, for storing instructions, e.g., applications, that are executable by processing unit 1922. The application programs stored in the storage unit 1932 may include one or more modules each corresponding to a set of instructions. Further, processing unit 1922 is configured to execute instructions to perform the above-described method.
The electronic device 1900 may further include a power module 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an I/O interface 1958. The electronic device 1900 may operate based on an operating system, such as Windows Server, stored in memory 1932 TM ，Mac OS X TM ，Unix TM , Linux TM ，FreeBSD TM Or the like.
In an exemplary embodiment, a non-volatile computer-readable storage medium, such as the storage unit 1932, is also provided that includes computer program instructions that are executable by the processing unit 1922 of the electronic device 1900 to perform the above-described method.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
Computer program instructions for carrying out operations of the present disclosure may be assembler instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the disclosure are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The computer program product may be embodied in hardware, software or a combination thereof. In an alternative embodiment, the computer program product is embodied in a computer storage medium, and in another alternative embodiment, the computer program product is embodied in a Software product, such as a Software Development Kit (SDK) or the like.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, but is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. A method of estimating carbon emissions during a construction phase of a building, comprising:
determining a usage classification of a building to be evaluated;
determining the specific classification of the building to be estimated according to the usage classification of the building to be estimated;
according to the concrete classification of the building to be estimated, acquiring unit use data of the building to be estimated on various materials in a material use database;
and determining the carbon emission amount for building the building to be estimated according to the unit use data of the plurality of materials, the design information of the building to be estimated and the carbon emission factors of the plurality of materials.
2. The method of estimating carbon emissions during the construction phase of a building as claimed in claim 1, wherein said method further comprises:
and counting the unit usage of the building samples belonging to the same specific classification on the multiple materials to obtain the unit usage data of the multiple specifically classified buildings on the multiple materials.
3. The method of estimating carbon emissions during the construction of a building according to claim 2, wherein the step of obtaining the unit usage data of the plurality of materials for the plurality of specifically classified buildings comprises the steps of:
acquiring a plurality of building samples which belong to the same specific classification and have construction time belonging to a preset time period;
and determining the average value of the unit usage of the plurality of building samples to the plurality of materials, and obtaining the unit usage data of the plurality of specifically classified buildings to the plurality of materials.
4. The method of estimating carbon emissions during the construction of a building according to claim 2, wherein the step of obtaining the unit usage data of the plurality of materials for the plurality of specifically classified buildings comprises the steps of:
acquiring a single building sample of which the construction time belongs to a preset time period;
and determining the unit usage of the single building sample for the plurality of materials as the unit usage data of the plurality of materials in the specific classification to which the single building sample belongs.
5. The method for estimating carbon emissions during the construction stage of a building according to claim 1, wherein determining the carbon emissions for constructing the building to be estimated based on the unit usage data of the plurality of materials, the design information of the building to be estimated, and the carbon emission factors of the plurality of materials comprises:
determining the carbon emission amount of a unit building area according to the unit use data of the multiple materials and the carbon emission factors of the multiple materials;
determining the building area of the building to be estimated according to the design information of the building to be estimated;
and determining the carbon emission of the building to be estimated according to the building area and the carbon emission of the unit building area.
6. The method of estimating carbon emissions during the construction phase of a building according to claim 5, wherein determining the carbon emissions per unit building area based on the unit usage data for the plurality of materials and the carbon emission factors for the plurality of materials comprises:
according to the formula
Determining the carbon emission per building area, wherein m i Data for the unit use of the i-th material, EF i Is the carbon emission factor of the ith material, n is the total number of material classes, and i is a positive integer less than or equal to n.
7. The method of estimating carbon emissions during the construction phase of a building according to claim 5, wherein determining the carbon emissions of the building to be estimated from the building area and the carbon emissions per unit building area comprises:
and determining the product of the building area and the carbon emission per unit building area as the carbon emission of the building to be estimated.
8. An apparatus for estimating carbon emissions during a building construction phase, comprising:
the purpose classification module is used for determining the purpose classification of the building to be estimated;
the specific classification module is used for determining the specific classification of the building to be estimated according to the purpose classification of the building to be estimated;
the data acquisition module is used for acquiring unit use data of the building to be estimated on various materials in the material usage database according to the specific classification of the building to be estimated;
and the estimation module is used for determining the carbon emission of the building to be estimated according to the unit use data of the materials, the design information of the building to be estimated and the carbon emission factors of the materials.
9. An apparatus for estimating carbon emissions during a building construction phase, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to invoke the memory-stored instructions to perform the method of any of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon computer program instructions, which when executed by a processor, implement the method of any one of claims 1-7.
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